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244 Commits

Author SHA1 Message Date
ciaranbor d0d71ebdb2 Cancel SSE keep-alive when instance is deleted 2026-04-01 19:06:51 +01:00
rltakashige 4688adb5d2 Support PDFs in dashboard (#1822)
Like ChatGPT does, we now send both the extracted text and the image of
each PDF page.
2026-03-31 18:25:40 +01:00
rltakashige d9ed943034 Fix Nemotron cache leak upstream (#1819)
## Motivation
Nemotron Cascade and Nano failing at long decodes.

## Changes

Fixed upstream, just change pyproject and uv lock here.


## Test Plan
### Automated Testing
Tested with a reproduce script upstream
2026-03-30 16:53:21 +00:00
rltakashige c6815bfdce Only update KV prefix cache on a good cache hit (#1817)
## Motivation

Addresses #1816 

## Changes

Update on min prefix cache > min_prefix_hit_length **and** hit ratio >
_MIN_PREFIX_HIT_RATIO_TO_UPDATE
min_prefix_hit_length = max(1000, system prompt length) -> system
prompts must match exactly.

## Test Plan

### Manual Testing
Test on OpenCode and Claude Code
2026-03-30 15:04:38 +01:00
rltakashige 39c39e8199 Integrations helpers (#1810)
## Motivation

<!-- Why is this change needed? What problem does it solve? -->
<!-- If it fixes an open issue, please link to the issue here -->

## Changes

<!-- Describe what you changed in detail -->

## Why It Works

<!-- Explain why your approach solves the problem -->

## Test Plan

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
<!-- What you did: -->
<!-- - -->

### Automated Testing
<!-- Describe changes to automated tests, or how existing tests cover
this change -->
<!-- - -->
2026-03-30 14:28:41 +01:00
rltakashige e5cb7b80d0 Add SSE-keepalive to not time out on long prefill on clients (#1803)
## Motivation

<!-- Why is this change needed? What problem does it solve? -->
<!-- If it fixes an open issue, please link to the issue here -->

## Changes

<!-- Describe what you changed in detail -->

## Why It Works

<!-- Explain why your approach solves the problem -->

## Test Plan

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
<!-- What you did: -->
<!-- - -->

### Automated Testing
<!-- Describe changes to automated tests, or how existing tests cover
this change -->
<!-- - -->
2026-03-30 12:18:38 +01:00
rltakashige 635801d515 Add multimodality! (#1802)
## Motivation

Images!

TODO (in a future PR): Add audio and video support.

## Test Plan

### Manual Testing
<img width="2652" height="1900" alt="image"
src="https://github.com/user-attachments/assets/7d3a7137-542f-4f94-9193-2c73b7c4a5ec"
/>

<img width="2770" height="1956" alt="image"
src="https://github.com/user-attachments/assets/e3c3a096-8029-4409-97a6-aca31a9a3f24"
/>
<img width="2738" height="1768" alt="image"
src="https://github.com/user-attachments/assets/d70ea37f-cd1d-4a4c-ad08-3beb9fafa380"
/>

(And batching also works)

---------

Co-authored-by: David Hind <davehind@yahoo.co.uk>
2026-03-30 11:52:19 +01:00
rltakashige 2efbb8ab4f Improve exo harness with path state (#1815)
<img width="3224" height="1476" alt="image"
src="https://github.com/user-attachments/assets/d90a7d8a-9fe5-43a1-a715-1ef7ecc15422"
/>
2026-03-30 11:20:46 +01:00
Evan Quiney c6c5a3e73c feat: /state/paths (#1796)
adds a path option to the /state endpoint, allowing you to query
subfields of state without grabbing the whole blob

## test plan
poking around in the api
2026-03-30 10:10:00 +00:00
ArvidSU 10ef7ec9e8 feat: add Firefox AI sidebar (?q=) support to dashboard (#1814)
This PR builds on https://github.com/exo-explore/exo/pull/1677 to enable
custom prompts sent from Firefox `browser.ml.chat` to EXO dashboard
using URL parameters in sidebar for summary and other browser
interactions. See "Summarize page" example below.

## Summary
- Parse `?q=<encoded prompt>` URL parameter on page load and auto-submit
it as a chat message
- Clean up the URL with `history.replaceState` to prevent re-submission
on refresh
- Defer auto-send until both cluster state and model list are loaded so
model auto-selection works correctly

## Context
Firefox's built-in AI sidebar (`about:config: browser.ml.chat.enabled`)
integrates with chat providers by appending the user's prompt as
`?q=<URL-encoded prompt>`. Previously the exo dashboard ignored this
parameter. Users can now configure `http://localhost:52415` as a Firefox
AI chatbot provider.

See: https://support.mozilla.org/en-US/kb/ai-chatbot

## Technical notes
- Frontend-only change in `dashboard/src/routes/+page.svelte`
- Uses a Svelte `$effect` that reacts to `pendingFirefoxQuery`, `data`
(cluster state), and `models.length` — fires exactly once when all three
are ready
- If no model is selected, `handleAutoSend` auto-picks the best
available model; if no model fits memory, a toast is shown
- If a model is selected but not running, the message is queued until
the model loads

## Testing
```
http://localhost:52415/?q=Hello+world
http://localhost:52415/?q=Summarize+this+page%3A+%5Bpage+title%5D+%5Bpage+url%5D
```

<img width="2056" height="1329" alt="image"
src="https://github.com/user-attachments/assets/74463eb4-ca1a-400d-806a-c19ba93147b9"
/>
2026-03-30 11:02:35 +01:00
Evan Quiney 1e51dc89b0 chore: bump exo-version with release version (#1807)
our pyproject.toml version was 0.3.68 - update to .69 in line with
release!!
2026-03-27 11:47:13 +00:00
Alex Cheema 5327bdde84 Fix custom model add requiring two attempts + enlarge sidebar buttons (#1805)
## Motivation

Adding a custom model from the Hub tab shows "Added" toast but the model
doesn't appear in the All tab. You have to add it a second time for it
to work. Also, the "All" button in the model picker sidebar is too small
to read comfortably.

## Changes

**Race condition fix (`src/exo/api/main.py`):**
- Call `add_to_card_cache(card)` directly in `add_custom_model()` after
sending the `ForwarderCommand`, before the API response returns

**Sidebar sizing
(`dashboard/src/lib/components/FamilySidebar.svelte`):**
- Increased sidebar min-width from 72/64px to 80/72px
- Increased "All" icon from `w-5 h-5` to `w-6 h-6`
- Increased all sidebar labels from 9px to 11px

## Why It Works

`POST /models/add` sends a `ForwarderCommand(AddCustomModelCard)` and
returns immediately. The frontend then calls `GET /models` which reads
from `_card_cache`. But the cache was only updated by the worker event
handler after the event round-trips through the master — a race the
frontend almost always loses. By updating the cache directly in the API
handler, `GET /models` immediately reflects the new model. The worker's
later `add_to_card_cache` call is idempotent (dict key assignment).

## Test Plan

### Manual Testing
<!-- Hardware: any Mac -->
- Open model picker → Hub tab → add a custom model → verify it appears
in All tab on the first attempt
- Verify sidebar "All" button and other labels are visually larger and
readable

### Automated Testing
- `uv run basedpyright` passes with 0 errors
- `uv run ruff check` passes

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-26 17:57:00 -07:00
ciaranbor 15f1b61f4c Rework model storage directory management (for external storage) (#1765)
## Motivation

Replace confusing EXO_MODELS_DIR/EXO_MODELS_PATH with clearer
multi-directory support, enabling automatic download spillover across
volumes.

## Changes

- EXO_MODELS_DIRS: colon-separated writable dirs (default always
prepended, first with enough space wins)
- EXO_MODELS_READ_ONLY_DIRS: colon-separated read-only dirs (protected
from deletion)
- select_download_dir(): picks writable dir by free space
- resolve_existing_model(): unified lookup across all dirs
- is_read_only_model_dir(): path-based read-only detection instead of
hardcoded flag
- Updated coordinator, worker, model cards, tests

## Why It Works

Default dir always included so zero-config behavior is unchanged. Disk
space checked at download time for automatic spillover. Read-only status
derived from path, not hardcoded.

## Test Plan

### Manual Testing

- No env vars set → identical behavior
- EXO_MODELS_DIRS=/Volumes/SSD/models → downloads to external storage
- EXO_MODELS_READ_ONLY_DIRS=/mnt/nfs → models found, deletion blocked

### Automated Testing

- 4 new tests in test_xdg_paths.py (prepend, default-only, overlap,
empty read-only)
- Existing tests updated to patch new constants
2026-03-26 17:46:46 +00:00
Michael Harrigan 9034300163 [Fix] Node hang on reelection (#1801)
## Motivation

During master reelection, `_elect_loop` called `worker.shutdown()` (fire
& forget) then immediately created and started a new Worker.

This caused the old runner subprocess's Metal/GPU teardown to race with
the new worker's startup, resulting in `IOConnectUnmapMemory failed:
kr=0xe00002bc` errors and a full node hang requiring `^C`. Same issue
existed for `DownloadCoordinator`.

## Changes

- Added `anyio.Event`-based `_stopped` signal to `Worker` and
`DownloadCoordinator`, set at the end of their `run()` finally blocks
- Added `wait_stopped()` async method to both classes
- Updated `_elect_loop` to `await wait_stopped()` after calling
`shutdown()` on the old Worker and DownloadCoordinator before creating
replacements

## Why It Works

The old Worker's task group contains the RunnerSupervisor tasks, whose
finally blocks join the runner subprocess (with 5s timeout + SIGTERM +
SIGKILL escalation). By awaiting `wait_stopped()`, we guarantee the old
runner process has fully exited — including GPU memory cleanup — before
a new Worker can start and potentially access the GPU. This eliminates
the race without changing the shutdown mechanics themselves.

## Test Plan

### Manual Testing
Hardware: M4 Pro Mac Mini 24GB + M3 Ultra Mac Studio 96GB, connected via
Thunderbolt

**Repro steps:**
1. Start exo on two nodes with a model sharded across both (e.g.
`Josiefied-Qwen3-14B-abliterated-v3-4bit`)
2. Wait for "runner ready" on both
3. `kill -9` the master node
4. Observe the surviving node's re-election behavior

**Before fix (original crash):**
```
[ 11:02:39.0896AM ] Runner supervisor shutting down
[ 11:02:39.0905AM ] bye from the runner
[ 11:02:39.1052AM ] Stopping Worker
IOConnectUnmapMemory failed: kr=0xe00002bc
IOConnectUnmapMemory failed: kr=0xe00002bc
IOConnectUnmapMemory failed: kr=0xe00002bc
IOConnectUnmapMemory failed: kr=0xe00002bc
^C[ 11:03:45 ] ← hung for over a minute, required manual kill
```

**After fix (clean re-election):**
```
[ 12:15:22.4703PM ] runner loaded
[ 12:15:24.1672PM ] runner ready
[ 12:15:33.5393PM ] Waiting for other campaign to finish
[ 12:15:36.5409PM ] Node elected Master
[ 12:15:36.5413PM ] Unpausing API
```
No `IOConnectUnmapMemory` errors, no hang, no `^C` needed.

### Automated Testing
- No existing tests cover the `_elect_loop` re-election path; this is an
integration-level flow requiring a live router/election/worker stack
- All existing tests pass (307/308, 1 pre-existing Rust binding failure)
- basedpyright: 0 errors, ruff: all checks passed

---------

Co-authored-by: Evan <evanev7@gmail.com>
2026-03-26 17:28:47 +00:00
rltakashige 1d1dfaa1f3 Don't download original/ and metal/ folders from HF (#1800)
## Motivation

<!-- Why is this change needed? What problem does it solve? -->
<!-- If it fixes an open issue, please link to the issue here -->

## Changes

<!-- Describe what you changed in detail -->

## Why It Works

<!-- Explain why your approach solves the problem -->

## Test Plan

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
<!-- What you did: -->
<!-- - -->

### Automated Testing
<!-- Describe changes to automated tests, or how existing tests cover
this change -->
<!-- - -->
2026-03-26 13:36:07 +00:00
Evan Quiney 7625213df0 fix: enable macmon if preflight fails (#1799)
missed in #1747, issue #1798.

### the issue

we didn't set the memory poll rate after failling the macmon preflight,
only after failing the followups - as we never ran macmon if preflight
failed, we never hit the followup errors etc.

### testing

requires testing on an m5 pro, but the core issue is solved.
2026-03-26 11:35:22 +00:00
Alex Cheema f318f9ea14 Fix macOS build bundling wrong macmon binary (#1797)
## Motivation

PR #1747 fixed macmon support for M5 Pro/Max by pinning the
`swiftraccoon/macmon` fork in `flake.nix`. This works when running from
source (via Nix) but the distributed macOS `.app` build was still broken
on M5 Pro/Max because it was bundling the wrong macmon.

The error on M5 Pro/Max:
```
macmon preflight failed with return code -6: thread 'main' panicked at src/sources.rs:394:41
```

## Changes

- Removed `macmon` from `brew install` in `build-app.yml` — this was
installing the upstream `vladkens/macmon` which doesn't support M5
Pro/Max
- Added a new step that resolves the pinned macmon fork from the Nix dev
shell (same `swiftraccoon/macmon` at rev `9154d23` already defined in
`flake.nix`) and adds it to `$GITHUB_PATH`
- Added a safety `brew uninstall macmon` to ensure no Homebrew macmon
can shadow the pinned version

## Why It Works

PyInstaller bundles macmon via `shutil.which("macmon")`. Previously this
found the Homebrew (upstream) binary. Now it finds the Nix-overlayed
fork that has M5 Pro/Max support, because `$GITHUB_PATH` prepends the
Nix store path before the PyInstaller step runs.

## Test Plan

### Manual Testing
<!-- Hardware: M5 Pro -->
- Trigger a macOS build and verify the bundled macmon is the pinned fork
- Run the built `.app` on M5 Pro/Max and confirm macmon preflight
succeeds

### Automated Testing
- Existing CI build workflow will validate that the macmon binary is
found and bundled correctly

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-26 09:47:48 +00:00
ciaranbor 30fd5aa1cc Prefer higher % downloaded nodes for API placement previews (#1795)
Follow up to https://github.com/exo-explore/exo/pull/1767

Same thing for placement previews through API
2026-03-25 17:26:31 +00:00
ciaranbor 6de14cfedb Support image generation cancellation (#1774)
## Motivation

Support cancelling image generation, similar to existing support for
cancelling text generation

## Changes

- Dashboard (app.svelte.ts): Wire up AbortController for both
generateImage and editImage API calls. On abort, show "Cancelled"
instead of an error. Clean up the controller in finally.
- Pipeline runner (pipeline/runner.py): Introduce a cancel_checker
callback and NaN-sentinel cancellation protocol for distributed
diffusion:
  - _check_cancellation() - only rank 0 polls the cancel callback
- _send() - replaces data with NaN sentinels when cancelling, so
downstream ranks detect cancellation via _recv_and_check()
  - _recv() / _recv_like() wrappers that eval and check for NaN sentinel
  - After cancellation, drains any pending ring recv to prevent deadlock
  - Skips partial image yields and final decode when cancelled
- Image runner (runner/image_models/runner.py): Deduplicate the
ImageGeneration and ImageEdits match arms into a shared
_run_image_task() method. Thread a cancel_checker closure (backed by the
existing cancel_receiver + cancelled_tasks set) into generate_image().
- Plumbing (distributed_model.py, generate.py): Pass cancel_checker
through the call chain.

## Why It Works

- Rank 0 is the only node that knows about task-level cancellation. When
it detects cancellation, it sends NaN tensors instead of real data.
Higher-order ranks detect the NaN sentinel on recv, set their own
_cancelling flag, and propagate NaN forward
- A drain step after the loop prevents the deadlock case where the last
rank already sent patches that the first would never consume.
- For single-node mode, the loop simply breaks immediately on
cancellation.

## Test Plan

### Automated Testing

New tests in src/exo/worker/tests/unittests/test_image
2026-03-25 16:56:04 +00:00
vskiwi fc1ae90111 fix: DeepSeek V3.2 warmup crash and tool calling + add catalog cards (#1769)
## Summary

DeepSeek V3.2 (`DeepseekV32ForCausalLM`) is already supported by exo's
inference engine (architecture whitelisted in `model_cards.py`, DSML
encoding added in #1548), but **doesn't work out of the box** due to two
bugs:

### Bug 1: `warmup_inference` passes empty model ID

`warmup_inference()` in `generate.py` accepts `model_id: ModelId` as a
parameter but creates `TextGenerationTaskParams(model=ModelId(""), ...)`
instead of using it. Since `_needs_dsml_encoding()` checks
`"deepseek-v3.2" in task_params.model.lower()`, the empty string never
matches → falls back to `tokenizer.apply_chat_template()` →
**ValueError** because V3.2 has no Jinja chat template.

**Fix:** `model=ModelId("")` → `model=model_id` (one line).

### Bug 2: `_needs_dsml_encoding` limited to tool calling

`_needs_dsml_encoding()` returns `True` only when `task_params.tools` is
present or tool messages exist in `chat_template_messages`. For warmup
and regular chat requests without tools → `return False` → Jinja
fallback → **ValueError**.

Unlike V3.1 (which has a `.jinja` chat template file that transformers
picks up automatically), V3.2 **has no Jinja template at all** — it uses
Python-based DSML encoding for all message types.

**Fix:** For V3.2, always return `True` — DSML encoding handles all
message types.

### Catalog cards

Added inference model cards for:
- `mlx-community/DeepSeek-V3.2-8bit`
- `mlx-community/DeepSeek-V3.2-4bit`

Parameters taken from model `config.json` on HuggingFace, storage sizes
from HF API. Capabilities include `thinking_toggle` (related: #1456).

## Notes

- The model ID string matching approach (`"deepseek-v3.2" in
model.lower()`) is acknowledged tech debt — see #1371 for the planned
architecture-based approach.

## Test plan

- [x] Start exo with DeepSeek V3.2 model → warmup should complete
without crash
- [x] Send a regular chat message (no tools) → should get a response
- [x] Send a chat message with tools → should work as before
- [x] V3.2 cards should appear in the dashboard model catalog

---------

Co-authored-by: user <user@m1.note>
Co-authored-by: Ryuichi Leo Takashige <leo@exolabs.net>
Co-authored-by: Evan <evanev7@gmail.com>
2026-03-25 16:20:35 +00:00
rltakashige 565ed41c13 Fix occasional warmup bugs by using mlx_generate (#1794)
## Motivation

Warmup occasionally had issues; e.g. #1748 and #1793 because we were
using a standard stream_generate, all of which are issues that are
resolved in the wrapper function mlx_generate.
2026-03-25 15:53:54 +00:00
DeepZima 2da740c387 Feat/static peer discovery (#1690)
**Enabling peers to be discovered in environments where mDNS is
unavailable (SSH sessions, headless servers, Docker).**

## Motivation
Exo discovers peers exclusively via mDNS, which works great on a local
network but breaks once you move beyond a single L2 broadcast domain:

- SSH sessions on macOS — TCC blocks mDNS multicast from non-GUI
sessions (#1488)
- Headless servers/rack machines — #1682 ("DGX Spark does not find other
nodes")
- Docker Compose — mDNS is often unavailable across container networks;
e.g. #1462 (E2E test framework) needs an alternative

Related works: 
#1488 (working implementation made by @AlexCheema and closed because SSH
had a GUI workaround),
#1023 (Headscale WAN then closed due to merge conflicts), 
#1656 (discovery cleanup, open). 

This PR introduces an optional bootstrap mechanism for peer discovery
while leaving the existing mDNS behavior unchanged.

## Changes
Adds two new CLI flags:

- `--bootstrap-peers` (env: `EXO_BOOTSTRAP_PEERS`) — comma-separated
libp2p multiaddrs to dial on startup and retry periodically
- `--libp2p-port` — fixed TCP port for libp2p to listen on (default:
OS-assigned). Required when bootstrap peers, so other nodes know which
port to dial.

8 files: 
- `rust/networking/src/discovery.rs`: Store bootstrap addrs, dial in
existing retry loop
- `rust/networking/src/swarm.rs`: Thread `bootstrap_peers` parameter to
`Behaviour`
- `rust/networking/examples/chatroom.rs`: Updated call site for new
create_swarm signature
- `rust/networking/tests/bootstrap_peers.rs`: Integration tests
- `rust/exo_pyo3_bindings/src/networking.rs`: Accept optional
`bootstrap_peers` in PyO3 constructor
- `rust/exo_pyo3_bindings/exo_pyo3_bindings.pyi` : Update type stub 
- `src/exo/routing/router.py`: Pass peers to `NetworkingHandle` 
- `src/exo/main.py` : `--bootstrap-peers` CLI arg +
`EXO_BOOTSTRAP_PEERS` env var

## Why It Works

Bootstrap peers are dialed in the existing retry loop — the same path
taken by peers when mDNS-discovered. The swarm handles connection, Noise
handshake, and gossipsub mesh joining from there.

PeerId is intentionally not required in the multiaddr, the Noise
handshake discovers it.

Docker Compose example:

```yaml
services:
  exo-1:
    environment:
      EXO_BOOTSTRAP_PEERS: "/ip4/exo-2/tcp/30000"
  exo-2:
    environment:
      EXO_BOOTSTRAP_PEERS: "/ip4/exo-1/tcp/30000"
```

## Test Plan

### Manual Testing
<details>
<summary>Docker Compose config</summary>

```
services:
  exo-node1:
    build:
      context: .
      dockerfile: Dockerfile.bootstrap-test
    container_name: exo-bootstrap-node1
    hostname: exo-node1
    command: ["-q", "--libp2p-port", "30000", "--bootstrap-peers", "/ip4/172.30.20.3/tcp/30000"]
    environment:
      - EXO_LIBP2P_NAMESPACE=bootstrap-test
    ports:
      - "52415:52415"
    networks:
      bootstrap-net:
        ipv4_address: 172.30.20.2
    deploy:
      resources:
        limits:
          memory: 4g

  exo-node2:
    build:
      context: .
      dockerfile: Dockerfile.bootstrap-test
    container_name: exo-bootstrap-node2
    hostname: exo-node2
    command: ["-q", "--libp2p-port", "30000", "--bootstrap-peers", "/ip4/172.30.20.2/tcp/30000"]
    environment:
      - EXO_LIBP2P_NAMESPACE=bootstrap-test
    ports:
      - "52416:52415"
    networks:
      bootstrap-net:
        ipv4_address: 172.30.20.3
    deploy:
      resources:
        limits:
          memory: 4g

networks:
  bootstrap-net:
    driver: bridge
    ipam:
      config:
        - subnet: 172.30.20.0/24
```
</details> 

Two containers on a bridge network (`172.30.20.0/24`), fixed IPs,
`--libp2p-port 30000`, cross-referencing `--bootstrap-peers`.

Both nodes found each other and established a connection then ran the
election protocol.

### Automated Testing

4 Rust integration tests in `rust/networking/tests/bootstrap_peers.rs`
(`cargo test -p networking`):

| Test | What it verifies | Result |
|------|-----------------|--------|
| `two_nodes_connect_via_bootstrap_peers` | Node B discovers Node A via
bootstrap addr (real TCP connection) | PASS |
| `create_swarm_with_empty_bootstrap_peers` | Backward compatibility —
no bootstrap peers works | PASS |
| `create_swarm_ignores_invalid_bootstrap_addrs` | Invalid multiaddrs
silently filtered | PASS |
| `create_swarm_with_fixed_port` | `listen_port` parameter works | PASS
|

All 4 pass. The connection test takes ~6s

---------

Signed-off-by: DeepZima <deepzima@outlook.com>
Co-authored-by: Evan <evanev7@gmail.com>
2026-03-25 10:55:12 +00:00
rltakashige 7117d748ec Update dependencies including mlx 0.31.2 (#1789)
Update mlx fork to 0.31.2 and mflux to 0.17.2
2026-03-25 06:03:19 +00:00
Alex Cheema 178c617bbb Rename Nemotron to NVIDIA in model picker with logo (#1790)
## Motivation

The Nemotron model family in the model picker sidebar was displaying as
"Nemotron" with a generic checkmark icon. Since these models are
NVIDIA's Nemotron models, the category should be branded as "NVIDIA"
with the official NVIDIA logo, consistent with how other families are
branded (e.g., "llama" → "Meta", "gpt-oss" → "OpenAI").

## Changes

- **FamilySidebar.svelte**: Added `nemotron: "NVIDIA"` to the
`familyNames` mapping so the sidebar displays "NVIDIA" instead of
"Nemotron"
- **FamilyLogos.svelte**: Added the NVIDIA "eye" logo as an inline SVG
for the `nemotron` family, matching the `viewBox="0 0 24 24"` /
`fill="currentColor"` pattern used by all other brand logos
- **ModelPickerModal.svelte**: Added `"nemotron"` to the `familyOrder`
array so NVIDIA appears in a consistent position in the sidebar

## Why It Works

The model picker derives categories from the `family` field in TOML
model cards. Nemotron models already have `family = "nemotron"`, but the
three UI components (display name, logo, sort order) lacked explicit
entries for it, causing fallback behavior (auto-capitalized name,
checkmark icon, alphabetical sorting). Adding explicit entries for all
three aligns NVIDIA with the existing brand pattern.

## Test Plan

### Manual Testing
<!-- Hardware: N/A - dashboard UI change only -->
- Built dashboard successfully (`npm run build`)
- Verified the NVIDIA logo renders in the sidebar alongside existing
brand logos

### Automated Testing
- No test changes needed — this is a purely cosmetic dashboard change

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-25 01:56:59 +00:00
rltakashige 7277c90389 Fix enable thinking (#1786)
## Motivation

Minor regression from #1746 

## Why It Works

Pass thinking properly

## Test Plan

### Manual Testing
Works, it thinks
2026-03-24 16:26:25 -07:00
Evan Quiney 7ee88c1f05 override macmon in flake (#1747)
updates macmon to an upstream fork that fixes m5 max issues.
might see if the upstream version gets merged before we release.

---------

Co-authored-by: Alex Cheema <alexcheema123@gmail.com>
2026-03-24 17:30:19 +00:00
Evan Quiney 509533d49e send error finish reason on failing to parse a tool call (#1785)
a simplification of #1757 which is now stale
2026-03-24 17:21:39 +00:00
rltakashige b6240a97e8 Prevent Qwen3.5 looping by using mlx lm fork (#1784)
## Motivation

Move back to an MLX LM to improve the Qwen 3.5 experience. 

## Test Plan

### Manual Testing
Seems to loop less from testing, no speed regressions.
2026-03-24 17:16:41 +00:00
rltakashige 6cdfbb7e8b Add HF_ENDPOINT in the app settings (#1783)
## Motivation
Some users (primarily in China) are unable to access HuggingFace.co. HF
supports the HF_ENDPOINT env variable, and we also support it, but there
is no way to easily do that from the app currently.

## Test Plan

### Manual Testing

hf-mirror works
empty field works
google.com endpoint fails
2026-03-24 17:05:49 +00:00
Evan Quiney fac6832e5f fix warmup consistency for slow machines (#1748)
a fix from pr #1643 which is now stale - should make prefill more
consistent on very slow machines

## testing
qwen-3.5-35b-a3b loads normally
gpt-oss-120b-mxfp4-q8 loads normally
2026-03-24 16:45:55 +00:00
rltakashige 7df3774ca2 Improve batch performance and stats reporting (#1777)
## Motivation

Batch generation reports incorrect statistics, as mlx lm never clears
the original stats, meaning they get polluted over time.
The dashboard also seems considerably slower than bench statistics.
We also have a large discrepancy between B=1 batch generating and
mlx_generate.
Extracting logprobs is massively expensive, causing up to a 25% slowdown
compared to pure batching.
```
[ 12:02:01.1240AM | INFO    ] step overhead: 3.49ms (next=12.49ms total=15.99ms)
[ 12:02:02.1600AM | INFO    ] step overhead: 3.23ms (next=13.01ms total=16.24ms)
[ 12:02:03.2228AM | INFO    ] step overhead: 3.28ms (next=13.38ms total=16.66ms)
[ 12:02:04.2798AM | INFO    ] step overhead: 3.25ms (next=12.84ms total=16.10ms)
[ 12:02:05.3152AM | INFO    ] step overhead: 3.18ms (next=12.61ms total=15.79ms)
[ 12:02:06.3522AM | INFO    ] step overhead: 3.41ms (next=12.83ms total=16.25ms)
[ 12:02:07.3987AM | INFO    ] step overhead: 3.38ms (next=13.14ms total=16.52ms)
[ 12:02:08.4537AM | INFO    ] step overhead: 1.84ms (next=19.44ms total=21.28ms)
```

## Changes

1. Report stats ourselves instead of using mlx lm's stats for batch
generation (they use perf_counter anyway).
2. Adjust exo bench to match
3. Improve logprobs extraction speed by 10x, improving tps for dashboard
& any requests for logprobs
4. Use an SSE comment to align the speed to the real numbers at the end
of generation
5. Patch mlx for several optimizations given our assumptions and use
cases (e.g. use vllm style RoPE).
6. Switch MLX LM version to latest main, including support for Nemotron
Super and some Qwen3.5 fixes.

## Why It Works
1. Exo bench no longer reports polluted stats
2. Exo bench now handles the reported per-request stats rather than the
aggregate stats
3. The decode speed now jumps back to a real number at the end of the
generation
4. Large batch speedup for rotating KV cache models + 1:1 matching cache
with vllm

## Test Plan

### Manual Testing
Needs testing on OpenCode and CC
Needs eval testing

### Automated Testing
Only going to show the performance optimization difference after the
accurate reporting:

**GPT OSS 20B MXFP4 Q8 (large change)**
Before:
<img width="2466" height="1534" alt="image"
src="https://github.com/user-attachments/assets/88b50637-fca2-4db4-9413-b9eee6e2057e"
/>
<img width="2410" height="1240" alt="image"
src="https://github.com/user-attachments/assets/21e5c76a-2f5f-44d2-8953-121b3ebdbd68"
/>


After:
<img width="2476" height="1472" alt="image"
src="https://github.com/user-attachments/assets/fec5cfbd-fff8-430a-b12e-a329410107a2"
/>
<img width="2454" height="1236" alt="image"
src="https://github.com/user-attachments/assets/0400344b-a4a6-42c0-a9dd-4ee91ade714a"
/>



**Qwen 3.5 35B A3B 8bit (No change)**
Before:
<img width="2414" height="1396" alt="image"
src="https://github.com/user-attachments/assets/e75f0b38-df5d-49fd-ab90-bc1667d981b3"
/>


After:
<img width="2346" height="1234" alt="image"
src="https://github.com/user-attachments/assets/eabfb59c-851f-4d88-b927-e1e699a75cc6"
/>


**Llama 3.2 1B Instruct 4bit (small change)**
Before:
<img width="2516" height="1220" alt="image"
src="https://github.com/user-attachments/assets/c2873655-acff-4536-8263-fb8aea33db80"
/>

After:
<img width="2566" height="1370" alt="image"
src="https://github.com/user-attachments/assets/15f95c75-1c2f-4474-85a2-88c4d0a32543"
/>
2026-03-24 14:03:03 +00:00
ciaranbor 248919c2a8 Fix first start in offline mode crash (#1782)
## Motivation

Running exo in offline mode on a machine where a model has never been
downloaded causes a crash

## Changes

- `download_shard` now catches `FileNotFoundError` from
`fetch_file_list_with_cache` and returns a `not_started` progress
instead of propagating the exception

## Why It Works

A status query should never crash its caller. By returning
`not_started`, the coordinator's existing offline guard (`if
self.offline:` at line 198) is reached and emits a graceful
`DownloadFailed` event. This also eliminates the warning spam on startup
where the status iterator catches the same exception for every
predefined model.

## Test Plan

### Manual Testing
- Start exo with `--offline` on a machine with no cached models, request
a model via the API — should get a graceful failure instead of a crash
2026-03-24 13:58:23 +00:00
ciaranbor 49951e1b1a Sync custom model cards across nodes (#1768)
## Motivation

Custom model cards were only saved locally on the node that handled the
API request.

## Changes

- Added AddCustomModelCard and DeleteCustomModelCard commands
- Added CustomModelCardAdded and CustomModelCardDeleted events
- Added custom_model_cards field to cluster State
- Master handles new commands by emitting corresponding events
- Workers persist model cards to disk and update the in-memory cache on
event receipt
- Separated fetch_from_hf (pure fetch) from disk persistence (now
handled by event-sourcing layer)
- Exposed add_to_card_cache() helper for the worker to update the cache

## Why It Works

- Follows the existing event-sourcing pattern: API → Command → Master →
Event → all Workers
- Every node applies the same events, so custom model cards are
consistent across the cluster

## Test Plan

### Manual Testing

Add/delete a custom model via the API on one node, verify it
appears/disappears on all nodes

### Automated Testing

Existing tests cover apply() logic; new event types follow the same
discriminated-union pattern
2026-03-24 12:51:36 +00:00
ciaranbor e06e70a835 Prefer higher model download % for placement (#1767)
## Motivation

When placing a model instance across the cluster, the master previously
only considered available RAM. This meant it could pick a node that
hasn't downloaded the model yet, even when another node already has it
(or is further along in downloading it).

## Changes

- Added download_status parameter to place_instance() in placement.py
- Added _get_node_download_fraction() to compute 0.0–1.0 download
progress per node/model
- Added _cycle_download_score() to sum download fractions across a
cycle's nodes
- Cycle selection now uses a (download_score, available_ram) tuple key —
download progress is the primary sort, RAM is the tiebreaker
- Passed self.state.downloads into place_instance() from master/main.py

## Why It Works

Python's tuple comparison gives download progress strict priority over
RAM, so a node with the model already downloaded will always be
preferred over one with more free RAM but no download.

## Test Plan

### Automated Testing

3 new tests cover: completed download preferred, higher partial progress
preferred, failed download not preferred over no-download node
2026-03-24 12:11:56 +00:00
vskiwi e9fdd8d4af improve logging: add dates to verbose stderr, match file log level to verbosity (#1772)
## Summary

- **Add ISO date to verbose stderr format**: when running with `-v`, the
stderr timestamp changes from `HH:mm:ss.SSS` to `YYYY-MM-DD
HH:mm:ss.SSS`, matching the file log format. This makes it possible to
correlate entries across days when stderr is captured by launchd,
systemd, Docker, or file redirection.
- **File log respects verbosity**: `exo.log` now uses DEBUG level when
`-v` is passed, so the persistent log has the same detail as stderr.
Previously it was always INFO regardless of verbosity.
- **Startup banner with PID**: adds a visual separator and process ID to
the startup message, making it easy to identify session boundaries in
long-running logs (e.g. `grep "Starting EXO"`).

The non-verbose (default) stderr format is unchanged — end-user terminal
experience is not affected.

## Motivation

When exo runs as a service (launchd, systemd, Docker), stderr is
typically captured to a file. Without calendar dates in the timestamp,
it is impossible to tell which day a log entry belongs to. This caused
misidentification of log entries during a multi-day RDMA debugging
session on a 4-node cluster.

The file log (`exo.log`) already had dates and rotation, but only
captured INFO level — missing the DEBUG output needed for postmortem
analysis.

## Test plan

- [x] `basedpyright` — 0 errors, 0 warnings, 0 notes
- [x] `ruff check` — all checks passed
- [x] `pytest` — 249 passed, 1 skipped

Co-authored-by: user <user@m1.note>
2026-03-23 16:06:26 +00:00
Evan Quiney 07598a3af1 teeny refactor (#1753)
api.py keeps growing. it's not tied to the master, so should have it's
own top level folder.

## testing
ci, pytest
2026-03-19 15:57:50 +00:00
ciaranbor 63f57fc193 Ciaran/dashboard download bug (#1755)
## Motivation

Download progress in the dashboard was broken: mainly treating all
download statuses as ongoing

## Changes

- Backend (apply.py): Deduplicate download progress events by model_id
instead of full shard_metadata, preventing duplicate entries per node
- Dashboard (+page.svelte): Extract shared collectDownloadStatus()
helper that both getModelDownloadStatus and getInstanceDownloadStatus
use, eliminating ~100 lines of duplicated logic. Adds proper handling
for
DownloadCompleted/DownloadFailed events, uses a Map to deduplicate
per-node entries, and introduces a typed NodeDownloadStatus with
explicit status states (downloading/completed/partial/pending)
- ModelCard: Replace single aggregate progress bar with per-node
download bars, each color-coded by status. Instance preview now scopes
download status to participating nodes only

## Why It Works

- Deduplicating by model_id in apply.py ensures each node has exactly
one download entry per model
- The perNodeMap in the frontend keeps only the latest event per node,
preventing duplicate bars
- Handling DownloadCompleted allows the UI to show finished downloads
instead of dropping them
- Scoping instance previews to assigned nodes avoids showing irrelevant
download progress
2026-03-19 14:47:45 +00:00
ciaranbor a6519ba006 Update mflux to 0.16.9 (#1751)
Prevents malformed output from Qwen-Image
2026-03-17 16:58:23 +00:00
rltakashige b713889f73 Fix exo bench again again (#1750)
Mb premature auto merge
2026-03-17 13:47:24 +00:00
rltakashige 6ee673147d Fix exo bench prefill and decode tps (#1749) 2026-03-17 13:36:44 +00:00
ciaranbor ff4d20eed9 Fix image models through dashboard (#1746)
## Motivation

Image generation/editing from the dashboard was broken. ChatForm
bypassed the parent's model-launch logic, so image requests fell through
to text chat.

## Changes

- Moved image routing logic from ChatForm.svelte to +page.svelte
(routeMessage())
- ChatForm now always delegates to parent via onAutoSend (made required)
- Fixed missing updateActiveConversation() call on message retry

## Why It Works

All sends now go through the parent's launch-then-route path, so image
models get launched before the request is dispatched to the correct
endpoint.
2026-03-17 11:22:01 +00:00
Evan Quiney 7ed4639540 use structured concurrency in download coordinator (#1722)
identical to #1721 but a little safer imo. 


## manual testing
ran a few downloads, cancelled non-master, cancelled master -- no errors
reported.
2026-03-13 14:55:37 +00:00
Mazin Sharaf 29d4165fe2 Add step logo condition to FamilyLogos component (#1676)
## Motivation

<!-- Why is this change needed? What problem does it solve? -->
<!-- If it fixes an open issue, please link to the issue here -->
This was to fix a small issue which was that the StepFun logo was not
included in the sidebar, and I also noticed it from an open issue:
- #1662 

## Changes

<!-- Describe what you changed in detail -->
I added a condition to the FamilyLogos where if the family is "step"
then the logo will be included in the sidebar.

## Test Plan
Open exo, go choose a model, and scroll down the sidebar until you see
the step logo, which should be there.

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
<!-- What you did: -->
<!-- - -->
Check for the step logo in the sidebar.
2026-03-13 13:31:46 +00:00
ecohash-co 12af7c9586 fix: shield macmon cleanup from cancellation to prevent orphaned process (#1714)
## Summary

Fixes a bug where macmon metrics (GPU usage, temperature, power, RAM)
freeze permanently in the dashboard while non-macmon metrics (disk
usage) continue updating normally.

**Root cause: asyncio subprocess pipe transport flow control stall**

Observed on a 2-node Mac Studio M3 Ultra cluster (Python 3.13.12, anyio
4.11.0, macOS with kqueue) running EXO.app for ~36 hours. Diagnostics
confirmed:

1. **Only macmon monitoring is stuck** — disk metrics from the same
InfoGatherer continue updating, proving the Worker, EventRouter, and API
pipelines are healthy
2. **macmon IS producing data** — its stdout pipe is full at exactly
65536 bytes (64KB OS buffer), and macmon is blocked on write at 0% CPU
3. **The pipe read-end FD is still open** — the exo process holds it,
but asyncio isn't reading from it
4. **The stale GPU value (0.21) is wrong** — should be ~1.0 (matching
the other node under identical load)

This is consistent with asyncio's subprocess pipe transport getting
stuck in flow control: `pause_reading()` is called when the internal
buffer exceeds the high-water mark, but `resume_reading()` is never
called, permanently deregistering the FD from kqueue. The `receive()`
coroutine waits forever for data asyncio will never deliver.

```
$ lsof -p <macmon_pid>
macmon  74691  FD=1  PIPE  SIZE=65536  ->0x5ae78ecf376ccd0e  # full pipe

$ lsof -p <exo_pid> | grep <pipe_id>
exo     74689  FD=47  PIPE  SIZE=65536  ->0xd129da474c1340f7  # read end held open, not consumed
```

Note: anyio 4.11's `Process.aclose()` already uses
`CancelScope(shield=True)` for cleanup during cancellation — this is NOT
an election cleanup issue (confirmed by @ciaranbor's testing).

**Fix:** Replace the `async for` iteration with an explicit `receive()`
inside `fail_after()`. If macmon produces no output for 10× its
configured interval (minimum 30s), `TimeoutError` fires, `open_process`
cleanup kills macmon and tears down the stale transport, and the loop
restarts with a fresh subprocess and fresh asyncio transport.

## Test plan

- [x] All 246 existing tests pass
- [ ] Verify macmon restarts after simulated pipe stall (e.g., `SIGSTOP`
macmon, wait for timeout, confirm restart and metrics resume)
- [ ] Long-running soak test on multi-node cluster to confirm the fix
prevents recurrence
2026-03-13 12:54:30 +00:00
ciaranbor f28b2fd037 Extract mlx revision from uv lock (#1715)
## Motivation

The MLX version and git revision in nix/mlx.nix were hardcoded and had
to be manually kept in sync with uv.lock

## Changes

- flake.nix: Extract MLX git rev from uv.lock's source.git URL and pass
as uvLockMlxRev
- nix/mlx.nix: Use uvLockMlxVersion and uvLockMlxRev instead of
hardcoded values; remove version mismatch assertion

## Why It Works

uv.lock is already the source of truth — now Nix reads both version and
rev from it directly. The pinned fetchFromGitHub hash still guards
against unexpected changes.
2026-03-13 12:34:54 +00:00
Mustafa Alp Yılmaz ea18a62581 fix: guard against ZeroDivisionError in mlx_lm stats (#1707)
## Problem

Running short completions (like `max_tokens=1` health check probes) can
finish so fast that `mlx_lm`'s internal `generation_time` rounds to
zero. When that happens, `BatchGenerator.stats()` in
`mlx_lm/generate.py` divides `generation_tokens / generation_time` and
throws a `ZeroDivisionError`, which kills the runner process.

EXO already handles this on its side — lines 289-293 in
`batch_generate.py` guard the TPS calculation with `if
generation_elapsed > 0`. But the call to `self._exo_gen.stats()` on line
294 goes into mlx_lm's *separate* timing code, which doesn't have the
same guard. Two different timers, only one is protected.

In my case, this was triggered by health check probes (content: `"a"`,
`max_tokens=1`). The generation completed in sub-microsecond time,
`generation_time` was exactly `0`, and the runner crashed. Since the
health check command stays in the queue and retries after recovery, it
created an infinite crash loop — every ~15 seconds the runner would load
the model, get the same health check, and die again.

## Fix

Wrap `self._exo_gen.stats()` in a `try/except ZeroDivisionError`. If it
throws, set `mlx_stats` to `None` and fall back to `0.0` for
`prompt_tps`. The only fields EXO reads from `mlx_stats` are
`prompt_tps` and `prompt_time` — losing them on a sub-microsecond
generation has no practical impact.

## Traceback

```
File "batch_generate.py", line 294, in step
    mlx_stats = self._exo_gen.stats()
File "mlx_lm/generate.py", line 1224, in stats
    self._stats.generation_tokens / self._stats.generation_time
ZeroDivisionError: division by zero
```
2026-03-12 14:48:36 +00:00
Miguel Cruz 0782d90ec5 fix: show partial download progress on initial dashboard load (#1706)
## Summary

- Dashboard now shows partial download progress for models that were
partially downloaded in a previous session, instead of showing 0%
- Both `getModelDownloadStatus()` and `getInstanceDownloadStatus()` now
handle `DownloadPending` entries that carry non-zero
`downloaded`/`total` bytes

Fixes #1042

## Root cause

When exo restarts with partially downloaded models, the
`DownloadCoordinator` emits `DownloadPending` events (because
`downloaded_this_session` is 0, even though real bytes exist on disk).
The main page dashboard only checked for `DownloadOngoing` entries, so
these partially downloaded models showed as 0%.

The dedicated `/downloads` page already handled this correctly — it
renders `DownloadPending` entries with a progress bar when `downloaded >
0`. This fix brings the same behavior to the main page.

## Changes

For both `getModelDownloadStatus()` and `getInstanceDownloadStatus()` in
`+page.svelte`:
- Accept `DownloadPending` in addition to `DownloadOngoing`
- For `DownloadPending` entries with `downloaded > 0` or `total > 0`,
synthesize a `DownloadProgress` object from the top-level fields (with
`speed: 0` and `etaMs: 0` since no active download is in progress)
- Skip `DownloadPending` entries where both `downloaded` and `total` are
0 (truly pending, not yet started)

## Test plan

- [ ] Partially download a model, quit exo, relaunch — dashboard should
show partial progress instead of 0%
- [ ] Fully downloaded models still show as complete
- [ ] Active downloads still show real-time progress with speed/ETA
- [ ] Models never downloaded show as not started (not falsely showing
progress)
- [ ] Dashboard builds without errors (`cd dashboard && npm run build`)

---------

Co-authored-by: Evan <evanev7@gmail.com>
2026-03-12 10:39:34 +00:00
rltakashige f221a6c85c Normalise Responses API tool call format (#1704)
## Motivation

The responses API often does not provide tool args nested under a
"function" field. Since we follow the chat completions format of tools
in the backend (for MLX chat templates), we need to normalise to this
format.

## Test Plan

### Manual Testing
Works on n8n!
<img width="3442" height="2076" alt="image"
src="https://github.com/user-attachments/assets/9e11d679-0102-4d83-9a8e-b0a7a5898708"
/>
2026-03-11 18:10:12 +00:00
Mustafa Alp Yılmaz 2994b41089 fix: validate num_key_value_heads in tensor sharding placement (#1669)
## Problem

Models with fewer KV heads than nodes crash during tensor parallelism.
For example, Qwen3.5 MoE models have only 2 KV heads — trying to shard
across 4 nodes produces empty tensors and a reshape error at runtime.

The placement system already validates `hidden_size % num_nodes == 0`
but doesn't check KV heads, so it creates configurations that look valid
but blow up when the worker tries to split the attention heads.

Affected models include Qwen3.5-35B-A3B, Qwen3.5-122B-A10B,
Qwen3.5-397B-A17B, Qwen3-Next-80B-A3B, and Qwen3-Coder-Next (all have 2
KV heads).

## Changes

**Placement validation** (`src/exo/master/placement.py`):
- Combined KV heads divisibility check with the existing hidden_size
filter in a single pass
- Cycles where `num_key_value_heads % len(cycle) != 0` are now excluded
for tensor sharding
- Error message includes both constraints when no valid cycle is found

**Model card schema** (`src/exo/shared/models/model_cards.py`):
- Added optional `num_key_value_heads` field to `ModelCard` and
`ConfigData`
- Extracted from HuggingFace `config.json` (handles both top-level and
`text_config` nesting)
- Passed through in `fetch_from_hf()` for dynamically fetched cards

**All 68 inference model cards**
(`resources/inference_model_cards/*.toml`):
- Populated `num_key_value_heads` from each model's HuggingFace config

**Utility script** (`scripts/fetch_kv_heads.py`):
- Fetches `num_key_value_heads` from HuggingFace and updates TOML cards
- `--missing`: only fills in cards that don't have the field yet
- `--all`: re-fetches and overwrites everything
- Uses tomlkit for safe TOML editing and ThreadPoolExecutor for parallel
fetches

## Behavior

- Instance previews no longer show tensor options for models that can't
split their KV heads across the cluster size
- `place_instance()` rejects with a clear error instead of crash-looping
- Pipeline parallelism is unaffected
- 2-node tensor still works for 2-KV-head models (2 ÷ 2 = 1)
- Field is optional — existing custom cards without it continue to work
(validation is skipped when `None`)
2026-03-11 13:46:33 +00:00
Mustafa Alp Yılmaz 38f0c09175 fix: use StreamingDetokenizer in batch generator to fix emoji/UTF-8 corruption (#1691)
## Problem

Emojis and other multi-byte UTF-8 characters are rendered as `\ufffd`
(Unicode Replacement Character) in batch streaming responses.

Byte-level BPE tokenizers (like Qwen's) can split multi-byte UTF-8
characters (e.g. a 4-byte emoji) across multiple tokens. The batch
generator decodes each token independently with
`tokenizer.decode([token_id])`, which produces U+FFFD for partial byte
sequences.

The sequential generator doesn't have this problem — it uses
`stream_generate()` from mlx_lm, which internally uses
`StreamingDetokenizer` to buffer incomplete bytes.

## Fix

Use `StreamingDetokenizer` in the batch generator, matching the
sequential path:

- Each `_EngineTask` gets its own `StreamingDetokenizer` instance
- `add_token()` buffers tokens, holding back incomplete UTF-8 byte
sequences until they form valid characters
- `last_segment` returns only complete, valid text
- `finalize()` flushes any remaining buffered bytes when generation
completes

Empty text segments during buffering are harmless — they're already
handled correctly by the downstream streaming pipeline.

---------

Co-authored-by: Ryuichi Leo Takashige <leo@exolabs.net>
2026-03-10 16:10:22 +00:00
ciaranbor f36fd56c38 Include power usage in bench responses (#1692)
## Motivation

Add power/energy usage tracking to /bench API responses.

## Changes

- New PowerSampler class that periodically samples sys_power from each
node during inference
- New PowerUsage / NodePowerStats API types
- Integrated into both bench chat completion and bench image generation
endpoints

## Why It Works

Runs concurrently via anyio.create_task_group, reads from existing
state.node_system heartbeat data — no new plumbing needed. Energy =
avg_power × elapsed_time.

## Test Plan

### Manual Testing

Run a /bench request and verify power_usage appears in the response.

### Automated Testing

7 async tests covering single/multi-node, energy math, dynamic power
changes, empty state, and lifecycle.
2026-03-10 16:02:55 +00:00
rltakashige 82c54dd6d6 Add support for Nemotron sharding (#1693)
### Automated Testing
tested logits match
2026-03-10 15:51:07 +00:00
ciaranbor 3536161f15 Fix stale state.runners (#1684)
## Motivation

When a runner shuts down, there's no mechanism to remove it from
state.runners, causing stale state to accumulate.

## Changes

- apply.py: apply_runner_status_updated now handles RunnerShutdown
status by removing the runner from state instead of adding/updating it.
Removed the separate apply_runner_deleted function entirely.
- events.py: Removed the RunnerDeleted event type — runner cleanup is
now handled via RunnerStatusUpdated with a RunnerShutdown status.
- Tests: New test_apply_runner_deleted.py with 2 tests: verifying
RunnerShutdown removes the runner, and that a normal status update adds
it.

## Why It Works

Instead of a separate RunnerDeleted event and coordinating its emission
from master/placement, runner cleanup is handled naturally through the
existing RunnerStatusUpdated path — a RunnerShutdown status signals
removal. This is simpler and requires no changes to master or placement
logic.

## Test Plan

### Automated Testing

2 new unit tests covering RunnerShutdown removal and normal runner
status addition
2026-03-10 09:32:25 +00:00
ArvidSU a6aa07ed83 feat(dashboard): add mobile drawer support for sidebars (#1677)
## Summary

- Adds mobile-friendly drawer UI for the chat sidebar and model family
sidebar
- Introduces responsive header navigation with mobile-specific toggle
buttons
- Uses slide-in drawer overlay pattern on small screens instead of
collapsible sidebars
- Stores mobile drawer state in app store for consistent state
management

## Testing

Tested on desktop (responsive mode) and mobile viewport widths. Sidebars
now slide in as drawers on small screens with proper z-index layering
and close-on-outside-click behavior.
2026-03-10 04:18:11 +00:00
rltakashige 131ad0ff36 Implement continuous batching (#1642)
## Motivation

Following the changes made in #1632 !
Closes #1020

## Changes

<!-- Describe what you changed in detail -->

## Why It Works

<!-- Explain why your approach solves the problem -->

## Test Plan

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
<!-- What you did: -->
<!-- - -->

### Automated Testing
<!-- Describe changes to automated tests, or how existing tests cover
this change -->
<!-- - -->

---------

Co-authored-by: Evan Quiney <evanev7@gmail.com>
2026-03-09 15:04:45 +00:00
ciaranbor d01636100a Ciaran/gpt oss tool call finish reason (#1673)
## Motivation

When gpt-oss truncates a response mid-tool-call (e.g. hitting max
tokens), the finish_reason was swallowed because the parser was in
tool-accumulation mode and never yielded it back to the caller. This
caused the API to hang or fail to signal completion.

## Changes

In parse_gpt_oss, when accumulating tool call arguments and a
finish_reason arrives, yield the response (with empty text) so the
finish reason propagates

## Why It Works

The parser now checks for finish_reason on every chunk while inside a
tool call. When the model stops generating (truncation), the finish
signal is forwarded immediately rather than being silently consumed.

## Test Plan

### Automated Testing

Added tests covering truncated tool calls (finish_reason="length") and
plain text truncation
2026-03-06 21:09:20 +00:00
ciaranbor 79c8dbeacd Ciaran/minor download bugs (#1674)
## Motivation

Two minor bugs in the download coordinator: cancelling a download didn't
reset its status to pending, and a single error in
_emit_existing_download_progress would kill the loop permanently.

## Changes

- Cancel emits pending status: When a download is cancelled, emit a
DownloadPending event so the UI/cluster state reflects that the model is
no longer actively downloading.
- Resilient progress emission loop: Move the try/except inside the while
loop so transient errors are logged but the periodic emission continues.

## Why It Works

- The cancel fix ensures the download status is consistent — without it,
a cancelled download would still appear as in-progress.
- The loop fix prevents a single exception from permanently stopping the
60-second periodic progress broadcast.
2026-03-06 17:46:18 +00:00
Evan Quiney 0096159728 up gossipsub limit (#1671)
bump gossipsub limit to 8MB + add warning
this is a bandaid solution for large messages while we figure out the
point to point protocol
2026-03-06 14:20:51 +00:00
Andrei Onel 7a36d3968d docs: Update documentation for v1.0.68 release (#1667)
## Motivation

Updated documentation for v1.0.68 release

## Changes

**docs/api.md:**
- Added documentation for new API endpoints: Claude Messages API
(`/v1/messages`), OpenAI Responses API (`/v1/responses`), and Ollama API
compatibility endpoints
- Documented custom model management endpoints (`POST /models/add`,
`DELETE /models/custom/{model_id}`)
- Added `enable_thinking` parameter documentation for thinking-capable
models (DeepSeek V3.1, Qwen3, GLM-4.7)
- Documented usage statistics in responses (prompt_tokens,
completion_tokens, total_tokens)
- Added streaming event format documentation for all API types
- Updated image generation section with FLUX.1-Kontext-dev support and
new dimensions (1024x1365, 1365x1024)
- Added request cancellation documentation
- Updated complete endpoint summary with all new endpoints
- Added security notes about trust_remote_code being opt-in

**README.md:**
- Updated Features section to highlight multiple API compatibility
options
- Added Environment Variables section documenting all configuration
options (EXO_MODELS_PATH, EXO_OFFLINE, EXO_ENABLE_IMAGE_MODELS,
EXO_LIBP2P_NAMESPACE, EXO_FAST_SYNCH, EXO_TRACING_ENABLED)
- Expanded "Using the API" section with examples for Claude Messages
API, OpenAI Responses API, and Ollama API
- Added custom model loading documentation with security notes
- Updated file locations to include log files and custom model cards
paths

**CONTRIBUTING.md:** 
- Added documentation for TOML model cards format and the API adapter
pattern

**docs/architecture.md:**
- Documented the adapter architecture introduced in PR #1167

Closes #1653

---------

Co-authored-by: askmanu[bot] <192355599+askmanu[bot]@users.noreply.github.com>
Co-authored-by: Evan Quiney <evanev7@gmail.com>
2026-03-06 11:32:46 +00:00
Mustafa Alp Yılmaz eee3432738 feat(mlx): add repetition_penalty and repetition_context_size to chat completions (#1665)
## Problem

Models running through exo can get stuck in repetition loops —
generating the same text over and over until hitting the token limit. It
happens more with quantized models where probability distributions can
become degenerate.

`mlx_lm` has `make_logits_processors(repetition_penalty,
repetition_context_size)` that handles this, but it is never called
anywhere in the pipeline.

## Solution

Wire `repetition_penalty` and `repetition_context_size` through the
stack:

- `ChatCompletionRequest` → accept the params from the client
- `TextGenerationTaskParams` → carry them through the pipeline
- `chat_completions.py` adapter → map to internal params
- `generate.py` → call `make_logits_processors()` and merge into the
`logits_processors` list

When `repetition_penalty` is `None` (default), `make_logits_processors`
returns `[]` so existing behavior is unchanged.

## Usage

```json
{
  "model": "mlx-community/...",
  "messages": [...],
  "repetition_penalty": 1.15,
  "repetition_context_size": 64
}
```
2026-03-06 10:51:25 +00:00
Alex Cheema e8c3a873a6 feat(dashboard): improve model picker feedback and HuggingFace search (#1661)
## Motivation

Fixes #1648. Users adding custom models from HuggingFace got no clear
feedback that the model was successfully added — the model didn't appear
prominently in the list. Additionally, searches were limited to
`mlx-community` models with no fallback.

## Changes

- **Success feedback**: After adding a custom model, a toast
notification appears, the view auto-switches to "All Models", and the
newly added model is scrolled into view with a green highlight that
fades over 4 seconds.
- **HuggingFace search fallback**: The `/models/search` endpoint now
searches `mlx-community` first; if no results are found, it falls back
to searching all of HuggingFace.
- **Inline HF results**: When the main search bar finds no local
matches, HuggingFace search results appear inline with "+ Add" buttons
and a "See all results on Hub" link.
- **Full repo ID for non-mlx models**: Non-mlx-community models now
display the full repo ID (e.g., `meta-llama/Llama-3.1-8B`) instead of
just the short name.

## Why It Works

The toast + scroll + highlight gives immediate, unambiguous feedback
that the model was added and where it lives in the list. The HF search
fallback broadens discoverability while still prioritising mlx-community
models. Inline results in the main search bar mean users don't need to
navigate to the HF tab to discover new models.

## Test Plan

### Manual Testing
- Open model picker → HuggingFace Hub tab → search for a model → click
"+ Add"
- Verify: toast appears, view switches to All Models, model highlighted
with green glow
- Search for a term with no mlx-community results → verify fallback to
full HF search
- Non-mlx-community results show full repo ID (e.g., `org/model-name`)
- On All Models tab, search for a model not in the local list → verify
"From HuggingFace" section appears

### Automated Testing
- Existing tests cover the model catalog and API; no new automated tests
needed for UI behaviour changes

---------

Co-authored-by: Evan <evanev7@gmail.com>
2026-03-06 10:23:08 +00:00
Michael Harrigan afab3095b0 fix: KVPrefixCache Regression (#1668) 2026-03-06 10:11:08 +00:00
ciaranbor b9d40e8e35 Ciaran/re download bug (#1658)
## Motivation

After deleting a model and re-downloading it, the CachedShardDownloader
returns the stale cached path, so ensure_shard short-circuits and no
download actually happens.

## Changes

- Added invalidate(model_id) method to the ShardDownloader ABC and all
implementations
- CachedShardDownloader.invalidate evicts cache entries matching the
model ID and delegates down
- DownloadCoordinator.delete_model calls invalidate after cancelling
active downloads, before deleting files
- Added end-to-end test that downloads, deletes, and re-downloads a
model through the coordinator

## Why It Works

The cache is cleared when a model is deleted, so the next ensure_shard
call performs a fresh download instead of returning the stale path.

## Test Plan

## Automated Testing

New test_re_download_after_delete_completes exercises the full download
→ delete → re-download flow through DownloadCoordinator with
CachedShardDownloader + SingletonShardDownloader wrappers matching
production.
2026-03-05 14:18:17 +00:00
wysie 3a4d635d0c Fix copy code button not working in dashboard (#1659)
Fixes #1657

## Motivation

The copy button on code blocks in the dashboard does nothing when
clicked. This affects all code blocks in assistant responses.

## Root Cause

In `MarkdownContent.svelte`, click event listeners are bound to
`.copy-code-btn` elements via `setupCopyButtons()` inside a Svelte 5
`$effect`. However, the effect fires before the DOM has been updated
with the new HTML, so `querySelectorAll(".copy-code-btn")` finds zero
buttons.

Additionally, during streaming, the `content` prop updates on every
token, causing the entire `{@html processedHtml}` to be re-rendered.
This destroys all previously bound event listeners, even if they were
successfully attached.

## Changes

Replaced the per-button `addEventListener` approach with **event
delegation** — a single click listener on the container element that
catches clicks bubbling up from any `.copy-code-btn` or
`.copy-math-btn`. This:

- Eliminates the timing issue (the listener exists before the buttons
are rendered)
- Survives HTML re-renders during streaming (no need to re-bind)
- Removes the need for `setupCopyButtons()` and the `data-listenerBound`
tracking

## Testing

1. Load any model
2. Prompt it to generate a code block (e.g. "write a hello world in
Python")
3. Click the copy button on the code block
4. Paste — the code is copied correctly
5. Verified the button also works during streaming (before generation
completes)

Co-authored-by: Wysie <wysie@users.noreply.github.com>
2026-03-05 12:41:17 +00:00
Miguel Miranda Dias 8485805042 fix(worker): emit error chunks when a runner dies mid-command (#1645)
Closes #1586

## Summary
- track in-flight tasks in `RunnerSupervisor` (not only unacknowledged
pending tasks)
- when `_check_runner()` detects a crashed runner, emit
`ChunkGenerated(ErrorChunk)` for each in-flight command task
(`TextGeneration`, `ImageGeneration`, `ImageEdits`)
- keep existing `RunnerStatusUpdated(RunnerFailed)` emission so
planner/state still transition correctly
- add a unit test for supervisor crash path to ensure an error chunk is
emitted before failed runner status

## Why
`#1586` reports streams that can hang forever when runners crash during
warmup/loading. This keeps failure signaling at the runner-supervisor
layer, matching maintainer guidance in the issue thread.

## Validation
- attempted: `uv run pytest
src/exo/worker/tests/unittests/test_runner/test_runner_supervisor.py`
- blocked locally by environment disk exhaustion while uv tried to
materialize heavy CUDA wheels (`No space left on device` during
`nvidia-cudnn-cu13` extraction)

I kept the change scoped and added a targeted unit test for the failure
path.

---------

Co-authored-by: Evan <evanev7@gmail.com>
2026-03-04 17:15:58 +00:00
ciaranbor 4de8f801c7 #Add reasoning parms to chat completion and responses APIs (#1654)
## Motivation

Adds reasoning_effort parameter support to both the Chat Completions and
Responses APIs, aligning with the OpenAI spec and enabling thinking
control for gpt-oss models

## Changes

- Added ReasoningEffort literal type ("none" | "minimal" | "low" |
"medium" | "high" | "xhigh") and a resolve_reasoning_params() helper
that cross-derives reasoning_effort ↔ enable_thinking when only one is
provided
- Added reasoning_effort field to ChatCompletionRequest and reasoning
(with Reasoning model) + enable_thinking to ResponsesRequest
- Both adapters now call resolve_reasoning_params() before building
TextGenerationTaskParams
- reasoning_effort is passed through to the MLX chat template as a
template variable

## Why It Works

resolve_reasoning_params is a pure function that normalises the two
overlapping knobs (reasoning_effort and enable_thinking) into a
consistent pair, so downstream code always has both values regardless of
which the caller supplied.

## Test Plan

### Automated Testing

Added test_resolve_reasoning_params.py with 10 test cases covering:
both-None, both-set passthrough, enable_thinking → effort derivation,
and effort → enable_thinking derivation for every ReasoningEffort
variant.
2026-03-04 14:27:49 +00:00
Owleksiy 5777bf3c39 fix: coerce tool-call argument types from tool schema (#1651)
Apply schema-aware coercion to parsed tool-call arguments so
Hermes-style toolcalls can still return typed JSON (e.g. integer ids).

 - pass request tools into parse_tool_calls
 - coerce parsed argument values by function parameters schema
 - add unit tests for coercion and unknown-tool passthrough

## Motivation

Models that use Hermes-based toolcall syntax (Qwen3.5) can't reliably
call tools with non-string parameters
Example tool:
```json
    {
      "type": "function",
      "function": {
        "name": "process",
        "description": "Manage background processes",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": ["spawn", "output", "kill", "list"]
            },
            "id": {
              "type": "integer",
              "description": "Process id"
            },
            "command": {
              "type": "string",
              "description": "Command to run for spawn"
            }
          },
          "required": ["action"],
          "additionalProperties": false
        }
      }
    }
```
Model transcript:
```
<tool_call>
<function=process>
<parameter=action>
output
</parameter>
<parameter=id>
0
</parameter>
</function>
</tool_call>
```
And the API returns:

`{"id":"a8f11689-d840-4ca5-ab1d-ead3678a11a9","name":"process","arguments":"{\"action\":
\"output\", \"id\": \"0\"}"}}`

Tool definition declared `id` as `integer`, the model output is
type-agnostic, and the translation layer treats everything as a string.

The same Qwen3.5-27B on OpenRouter and GPT-4.1-mini on openai obey the
function signature and emit correct call:
```
{"name":"process","arguments":"{\"action\": \"output\", \"id\": 0}"}}
```

Steps to reproduce:
```
❯ curl -sS -v http://localhost:52415/v1/chat/completions \
  -H 'Content-Type: application/json' \  -d @- <<'JSON'
{
  "model": "mlx-community/Qwen3.5-27B-4bit",
  "stream": false,
  "temperature": 0,
  "messages": [
    {
      "role": "user",
      "content": "Call the process tool with action=output and id=0. Do not explain anything. Just make the tool call."
    }
  ],
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "process",
        "description": "Manage background processes",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": ["spawn", "output", "kill", "list"]
            },
            "id": {
              "type": "integer",
              "description": "Process id"
            },
            "command": {
              "type": "string",
              "description": "Command to run for spawn"
            }
          },
          "required": ["action"],
          "additionalProperties": false
        }
      }
    }
  ],
  "tool_choice": {
    "type": "function",
    "function": {
      "name": "process"
    }
  }
}
JSON
```
Look for type of `id` function call

## Changes

Function call parameters are now converted to the types that the
function declaration has

## Why It Works

We now explicitly convert types where we know it (and skip if we don't)

## Test Plan

### Manual Testing
Create Qwen3.5-<ANY> instance, send the curl command above. Check that
'id' is now serialized as a number

### Automated Testing
Unit tests to cover basic type conversions

---------

Co-authored-by: Evan <evanev7@gmail.com>
2026-03-04 12:22:53 +00:00
Evan Quiney 886192f1e6 ignore closed resource errors when trying to cancel a task (#1652)
fixes an occasional crash during the shutdown of a failed instance.
2026-03-03 16:48:43 +00:00
Evan Quiney d914acd64e check if we have a task before we delete it (#1634)
caused a crash we should instead be logging
2026-03-03 15:32:12 +00:00
rltakashige 37296c8249 Refactor runner for implementing batching (#1632)
## Motivation

Batching will require us to send tasks concurrently and queue them up.
Our current infrastructure cannot handle that all. This PR gets us
closer to this by allowing multiple tasks to be sent in parallel and
then queuing up tasks.

## Changes

Change Plan logic
Make runner main into a class
Add a "BatchGenerator" to which tasks can be submitted (although tasks
are handled sequentially) and sent back through an MpSender.
Refactor runner to accept tasks during generation
Keep the generator threading
Separate the runner into several files for better readability

## Test Plan

### Manual Testing
Tested manually, needs a lot more automated testing. Cancellation still
works on a single device. Needs checking on multiple devices.

### Automated Testing

---------

Co-authored-by: Evan Quiney <evanev7@gmail.com>
2026-03-03 14:38:55 +00:00
Daiz 28817d3ee3 Add support for Qwen3.5 (#1644)
## Motivation

Qwen3.5 MoE models (e.g., `Qwen3.5-397B-A17B-6bit`) are now supported by
`mlx-lm` via `qwen3_5_moe` model type, but exo lacks tensor parallel
sharding support for this architecture. This prevents running large
Qwen3.5 models across multiple nodes.

Qwen3.5 uses a GatedDeltaNet hybrid attention mechanism similar to
Qwen3-Next, but with a different projection layout — separate
`in_proj_qkv`, `in_proj_z`, `in_proj_b`, `in_proj_a` instead of
Qwen3-Next's combined `in_proj_qkvz` and `in_proj_ba`. This requires
architecture-aware sharding logic.

## Changes (evan summary)

- enable qwen3_5 dense + moe tensor parallelism from config
- defensively skip evalling _cache.keys if it doesn't exist
- ignore kwargs in qwen35 pipeline masking and ensure pipeline segments match global model parameters for mask creation
- add sharding for qwen3_5 moe linear attention
- added another 6 million model cards

## Why It Works

Qwen3.5's GatedDeltaNet has an `in_proj_qkv` linear layer with three
concatenated sections: `[q(key_dim), k(key_dim), v(value_dim)]`. A naive
contiguous split (`segments=1`) would slice across section boundaries,
corrupting q/k/v values and producing garbled output.

By passing `segments=[key_dim, key_dim + key_dim]` to `shard_linear()`,
each section is split independently before distributing across devices.
This ensures every rank receives correctly aligned q, k, and v
components.

The remaining separate projections (`in_proj_z`, `in_proj_b`,
`in_proj_a`) and the MoE layers follow the same `all_to_sharded` /
`sharded_to_all` pattern already used for Qwen3-Next.

Some pipeline splits didn't include an ssm layer or a linear layer resulting in a subset of the model acting like it shouldn't create the appropriate masks for the next layer - we patch the model to manually create such masks.

## Test Plan

tensor sharded 2,3,4 models & pipeline sharded 2,3,4 with simple eval.

---------

Co-authored-by: hw <hw@hwStudio1.local>
Co-authored-by: Ryuichi Leo Takashige <leo@exolabs.net>
Co-authored-by: Evan <evanev7@gmail.com>
2026-03-03 14:31:57 +00:00
Alex Cheema 0e1b9501c3 fix: mini topology sidebar navigates home on click (#1616)
## Motivation

Clicking on the mini topology view in the right sidebar during chat was
selecting/filtering nodes instead of navigating back to the home view.
The entire mini topology section is wrapped in a button that calls
`handleGoHome()`, but individual node clicks were intercepting the event
via `stopPropagation()`.

## Changes

- Removed `onNodeClick={togglePreviewNodeFilter}` from the mini
sidebar's `TopologyGraph` component
- Added `pointer-events-none` to the topology graph container so all
clicks pass through to the parent button

## Why It Works

`TopologyGraph` only registers click/hover handlers when `onNodeClick`
is provided. Removing it disables node interaction entirely in the mini
view. The `pointer-events-none` class ensures no SVG element can
intercept clicks — they all bubble up to the parent `<button
onclick={handleGoHome}>`, which resets the chat state and returns to the
main topology view.

## Test Plan

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
<!-- What you did: -->
- Start exo and open the dashboard
- Start a chat to trigger the mini topology sidebar
- Click on the mini topology view → should navigate back to home
- Confirm nodes in the mini topology are not selectable or hoverable

### Automated Testing
- Dashboard builds successfully (`npm run build`)
2026-03-03 10:46:52 +00:00
Mustafa Alp Yılmaz f0d4ccbeb3 feat: add POST /v1/cancel/{command_id} endpoint (#1579)
## Summary

- Adds explicit `POST /v1/cancel/{command_id}` REST endpoint to cancel
in-flight text and image generation commands by ID
- Previously, cancellation only worked via HTTP disconnect (client
closes SSE connection, triggering `anyio.get_cancelled_exc_class()`).
Non-streaming clients and external consumers had no way to cleanly
cancel active generation
- The endpoint looks up the command in active generation queues, sends
`TaskCancelled` to notify workers, and closes the sender stream. Returns
404 (OpenAI error format) if the command is not found or already
completed

## Changes

| File | Change |
|------|--------|
| `src/exo/shared/types/api.py` | Add `CancelCommandResponse` model |
| `src/exo/master/api.py` | Import, route registration, `cancel_command`
handler |
| `src/exo/master/tests/test_cancel_command.py` | 3 test cases (404,
text cancel, image cancel) |
| `docs/api.md` | Document new endpoint + update summary table |

## Design Decisions

- Uses `self._send()` (not raw `command_sender.send()`) — respects API
pause state during elections
- Uses `raise HTTPException` — feeds into exo's centralized OpenAI-style
error handler
- Returns typed `CancelCommandResponse` — consistent with
`CreateInstanceResponse` / `DeleteInstanceResponse` patterns
- `sender.close()` is idempotent so concurrent cancel requests for the
same command are harmless

## Test Plan

- [x] `test_cancel_nonexistent_command_returns_404` — verifies 404 with
OpenAI error format
- [x] `test_cancel_active_text_generation` — verifies 200,
`sender.close()` called, `TaskCancelled` sent with correct
`cancelled_command_id`
- [x] `test_cancel_active_image_generation` — same verification for
image queue
- [x] `basedpyright` — 0 new errors
- [x] `ruff check` — all checks passed
- [x] `pytest` — 3/3 new tests pass, no regressions

---------

Co-authored-by: Evan <evanev7@gmail.com>
2026-03-03 10:38:52 +00:00
wysie 858dc808df fix: replace Master event_sender after EventRouter recreation (#1630) (#1637)
## Motivation
Fix for https://github.com/exo-explore/exo/issues/1630.
When loading a model that spans 2 nodes as the first action after
startup, Exo crashes with anyio.BrokenResourceError in
Master._command_processor. The receive end of the Master's event_sender
channel is already closed (open_receive_channels=0 ) when the Master
tries to send an InstanceCreated event.

<!-- Why is this change needed? What problem does it solve? -->
<!-- If it fixes an open issue, please link to the issue here -->

## Changes
In _elect_loop, when is_new_master is True and the EventRouter is
replaced, the Master's event_sender is now swapped in-place with a fresh
sender from the new EventRouter. This mirrors the existing pattern where
the Worker and DownloadCoordinator are already recreated with new
channels from the new router.
<!-- Describe what you changed in detail -->

## Why It Works
When is_new_master fires (which happens on every startup when a second
node joins), the old EventRouter is shut down and a new one is created.
Shutting down the old router cancels its _ingest coroutine, which closes
the receive end of every channel created by event_router.sender(). The
Worker and DownloadCoordinator are already recreated with senders from
the new router, but the Master was not — its event_sender still pointed
to the dead channel from the old router.
This patch replaces self.master.event_sender with a new sender from the
new EventRouter, so events flow through a live channel. We swap in-place
rather than recreating the Master to preserve its DiskEventLog, internal
state, and running tasks.
The reason loading a single-node model first appeared to work around the
issue is a timing race: if the model loads fast enough, the Master sends
its events before the election fires and kills the old channel. With a
2-node model, placement and RDMA setup take longer, so the election
completes first and the channel is already dead by the time the Master
tries to send.
<!-- Explain why your approach solves the problem -->

## Test Plan

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
2 x Mac Studio M4 Max 128GB, RDMA
<!-- What you did: -->
Loaded a model that requires 2 nodes and it works properly now.
<!-- - -->

### Automated Testing
<!-- Describe changes to automated tests, or how existing tests cover
this change -->
<!-- - -->

Co-authored-by: Wysie <wysie@users.noreply.github.com>
2026-03-02 10:05:47 +00:00
ciaranbor 635118ef24 Support trace deletion in dashboard (#1628)
## Motivation

Enable using the dashboard to delete traces

## Changes

- Backend (src/exo/master/api.py): Added POST /v1/traces/delete endpoint
that deletes trace files by task ID, with path traversal protection
- API types (src/exo/shared/types/api.py): Added DeleteTracesRequest and
DeleteTracesResponse models
  - Dashboard store (app.svelte.ts): Added deleteTraces() method
- Traces page (+page.svelte): Added multi-select UI (click to select,
select all/deselect all) with a bulk delete button and confirmation
dialog

## Why It Works

- Uses existing _get_trace_path helper (now hardened against path
traversal) to resolve and delete trace files
- Dashboard selection state is reactive via Svelte 5 runes; deleted
traces refresh the list automatically

## Test Plan

### Manual Testing

- Select individual traces, select all, delete with confirmation dialog
  - Verify traces are removed from disk and list refreshes
2026-02-27 17:29:57 +00:00
Jake Hillion dc0bb5e13b fmt: add taplo TOML formatter to treefmt configuration 2026-02-27 17:19:48 +00:00
rltakashige 152a27ea5d Fix pipeline mismatched send after 1587 (#1629)
## Motivation

Tests caught a bug. It was a real bug.
2026-02-26 16:48:34 +00:00
rltakashige db36bd5ac6 Add custom prefill for pipeline (#1587)
## Motivation

Since we need to do distributed communications between prefill step
sizes, the out-of-the-box stream_generate that we currently use prevents
pipeline parallel models from doing overlapped computation. While this
was technically a regression, this communication is necessary for
cancellation, and we will need various distributed communications in the
future (e.g. for coordinating batching).

500 lines are for one testing file, so the diffs aren't as bad as they
look!

## Changes

Added a special prefill function for pipeline parallel models
Edited the model to handle 
Added a test to verify this new prefill and the original prefill produce
identical results
Improved type stubs to remove some type: ignores 

## Why It Works
<img width="768" height="1246" alt="image"
src="https://github.com/user-attachments/assets/8986ff17-ac23-4a02-9bd7-e6253a0ca799"
/>

## Test Plan

### Manual Testing
Needs more testing, but seems good so far.

### Automated Testing
Passes CI, considerable speedup seen in benchmarks (up to 1.98x) on
prefill speed.

Before:
<img width="3280" height="1238" alt="image"
src="https://github.com/user-attachments/assets/9abc1cbc-ecdb-4e48-a675-2c4cb04a32a0"
/>


After:
<img width="3344" height="1236" alt="image"
src="https://github.com/user-attachments/assets/e03c7987-41b4-4950-9ac3-2840e774ce30"
/>
2026-02-26 16:00:38 +00:00
Evan Quiney 639243aa09 event router (#1572)
replace the nack & resend logic in the worker/download coordinator with
a dedicated subsystem in front of the topic router. this centralizes
that logic (and the concept of system ids) to reduce replication in the
codebase. each system reading or writing events now gets a clean stream
of events in and can trust written events will be retried until
acknowledged.
2026-02-26 14:17:02 +00:00
Evan Quiney db73c4fd5d move messaging into rust (#1549)
the main body of the rust refactor. fixes the tokio panic on shutdown.
simplifies the networking module significantly. doesn't touch lp2p
behaviour
2026-02-26 13:58:22 +00:00
ciaranbor eaed92952c Use tmpdir for coordination file (#1624)
## Motivation

Coordination files for MLX distributed init were written to the current
working directory (./hosts_*.json)

## Changes

- Move coordination file creation to a tempfile.TemporaryDirectory(),
which auto-cleans on context manager exit
2026-02-26 10:59:36 +00:00
Evan Quiney ba611f9cd0 Revert "report macmon failures more aggressively (#1618)" (#1625)
this pr broke macmon - revert it
2026-02-25 19:15:55 +00:00
Evan Quiney eab3e0b456 report macmon failures more aggressively (#1618)
macmon appears to be going silent. time it out and restart it after
3*interval (Default 3s) and report warning.

Co-authored-by: Alex Cheema <41707476+AlexCheema@users.noreply.github.com>
2026-02-25 17:49:10 +00:00
Evan Quiney c4e874e97d skip nan logprobs on tokens (#1622)
sometimes we generate NaN logprobs for tokens, this causes pydantic
validation errors on the receiving end. in this case we should just not
send the logprob items
2026-02-25 17:44:15 +00:00
rltakashige e23c3a3026 Address Mac Mini pipeline GPU timeouts (#1620)
## Motivation
Users were reporting GPU timeout errors on Mac Minis, which we never saw
on testing with Mac Studios. It also seems to only happen with large
models.

## Changes
Eval specific distributed operations.

## Why It Works

As I wrote in a Slack message:
Basically, prefill is too slow for pipeline communications. If there are
both communications and GPU operations as part of an mlx graph, the
communications become subject to the GPU's 5 second command buffer
timeout.

For normal generation, I added evals to the communications (only during
prefill, as it slows down decode) to do this, fixing GPU timeouts.

But we don't do this during warmup, as the prompt is absolutely tiny.
This is still too slow on an M4 Pro on some models that it causes a GPU
timeout during warmup...


----------------------
This was one of the issues. However, there is another issue:

mx.all_gather sometimes reads stale data with FAST_SYNCH enabled. I'm
still investigating the root cause, but the code as it is now works on
Mac Minis.



## Test Plan

### Manual Testing
<img width="2762" height="1808" alt="image"
src="https://github.com/user-attachments/assets/27c88542-606c-4551-8f7c-bd2c0471f54e"
/>

<img width="2820" height="1898" alt="image"
src="https://github.com/user-attachments/assets/0ba3478c-ee39-438d-902c-92893db23d05"
/>


### Automated Testing
Needs a bunch on mac minis
2026-02-25 17:37:32 +00:00
Alex Cheema 190e63e56d fix: log exceptions causing silent node shutdown (#1621)
## Motivation

Nodes silently shut down mid-inference with no exception logged. The
logs show a clean-looking shutdown cascade (unsubscribe all topics →
stop worker → runner communication closed) but no error explaining
*why*. This makes debugging cluster issues extremely difficult.

## Changes

**`src/exo/routing/router.py`** — Added `try/except Exception` around
`_networking_recv()` and `_networking_recv_connection_messages()` loops.
Logs the root cause at ERROR level via
`logger.opt(exception=...).error(...)` before re-raising. Uses
`Exception` (not `BaseException`) so clean SIGTERM cancellation is
unaffected.

**`src/exo/main.py`** — Wrapped `anyio.run(node.run)` in
`try/except/finally`:
- `except BaseException`: logs the fatal exception at CRITICAL level
through loguru
- `finally`: ensures `logger.info("EXO Shutdown complete")` and
`logger_cleanup()` always run, guaranteeing the async log queue is
flushed before process exit

## Why It Works

The Router's recv loops (`_networking_recv`,
`_networking_recv_connection_messages`) are infinite `while True` loops
calling Rust bindings with **no exception handling**. When the Rust
networking layer raises `ConnectionError` (e.g. channel closed), the
exception cascades silently through anyio task groups: Router → Node →
all components shut down. The exception was never logged because (1) no
try-except anywhere in the cascade, and (2) `logger_cleanup()` was
skipped when `anyio.run()` raised, so loguru's async queue was never
flushed.

## Test Plan

### Manual Testing
- Run `uv run exo`, send SIGTERM → should see clean shutdown with "EXO
Shutdown complete", no error/critical logs
- Next time the silent shutdown reproduces, logs should now show the
actual exception with full traceback at ERROR level from the recv loop,
plus CRITICAL level from main()

### Automated Testing
- All 222 existing tests pass (1 pre-existing failure in
`test_python.py::test_sleep_on_multiple_items` unrelated to this change)
- `uv run basedpyright` — 0 errors
- `uv run ruff check` — all checks passed
- `nix fmt` — applied

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 08:24:18 -08:00
Alex Cheema 7660893538 fix: replace flaky internet checks with explicit offline mode (#1615)
## Motivation

The socket-based internet connectivity probes (connecting to
1.1.1.1/8.8.8.8/1.0.0.1 every 10 seconds) are flaky — they produce false
negatives on some networks/ISPs, causing downloads to silently fail or
get stuck. Instead of dynamically detecting connectivity, this replaces
it with an explicit offline mode that the user opts into.

## Changes

- **Removed internet check infrastructure**: Deleted
`_test_internet_connection()` (socket probes) and
`_check_internet_connection()` (10s polling loop) from
`DownloadCoordinator`
- **Renamed `internet_connection` → `offline`** on `ShardDownloader`
base class and all subclasses (`SingletonShardDownloader`,
`CachedShardDownloader`, `ResumableShardDownloader`)
- **Removed `on_connection_lost` callbacks** from download calls — no
longer needed without dynamic connectivity detection
- **Added `EXO_OFFLINE` env var support** in `constants.py` and `Args`
default in `main.py`
- **Added Offline Mode toggle** to macOS app Settings → General tab,
which sets `EXO_OFFLINE=true` in the process environment and restarts

## Why It Works

The download behavior (`skip_internet` conditionals in
`download_utils.py`) is unchanged — we just changed what drives it.
Instead of a flaky socket probe setting
`internet_connection=True/False`, the user explicitly sets offline mode
via:
1. `--offline` CLI flag
2. `EXO_OFFLINE=true` environment variable
3. macOS app Settings → General → Offline Mode toggle

This is more reliable and predictable. Users on flaky networks no longer
get intermittent download failures.

## Test Plan

### Manual Testing
- `uv run exo --offline` starts without internet checks, rejects
downloads for unavailable models
- `EXO_OFFLINE=true uv run exo` behaves identically
- macOS app Settings toggle persists across restarts and passes env var
to the exo process

### Automated Testing
- All existing tests pass (222 passed), including 8 offline-mode
specific tests
- `uv run basedpyright` — 0 errors
- `uv run ruff check` — all checks passed
- `nix fmt` — 0 files changed

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-24 13:36:19 -08:00
Evan Quiney 9a2d2a4a7c bump (#1608)
should be release for 1.0.68 - let's synch our py version with our app
version - 0.3.68.
next minor release should be 1.4.0 and 0.4.0 respectively.

Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-24 19:14:15 +00:00
Alex Cheema bea64fe85e fix: prevent stale loading state and conversation loss when switching chats (#1613)
## Motivation

When navigating back to a previous conversation that used a different
model than the one currently loading, the UI incorrectly displayed the
other model's loading/download progress bar instead of the conversation
messages. Additionally, attempting to continue that old conversation by
sending a message would create an entirely new chat rather than
continuing the existing one.

## Changes

All changes in `dashboard/src/routes/+page.svelte`:

1. **Added fallthrough reset in the `chatLaunchState` restore
`$effect`**: When switching to a conversation whose model has no active
instance (not running, not downloading, not loading), the effect now
resets `chatLaunchState` to `"idle"` instead of leaving stale state from
a different model.

2. **Added `skipCreate` parameter to `launchModelForChat()`**: When
continuing an existing conversation (has messages),
`createConversation()` is skipped so the old conversation is preserved
rather than replaced with a new empty one.

3. **Reordered view conditional**: Progress views
(downloading/loading/launching) take priority, then conversation
messages (when idle with messages or model ready), then model selector
(idle with no messages). This ensures:
   - Old conversations display normally when their model isn't running
- Download progress shows when relaunching a model for any conversation
   - Model selector only appears when there are no messages

## Why It Works

- The `$effect` fallthrough prevents `chatLaunchState` from retaining a
stale value (e.g., `"downloading"`) from Model A when the user switches
to a conversation using Model B that has no active state.
- The `skipCreate` flag ensures `launchModelForChat` can be reused for
both new conversations (from model picker) and continuing existing ones
(from chat input) without always creating a new conversation.
- The reordered view logic ensures each state maps to the correct UI:
active launch → progress, existing messages → chat view, nothing → model
selector.

## Test Plan

### Manual Testing
- Load an old conversation while a different model is downloading →
should see conversation messages, not the other model's loading bar
- Send a message from that old conversation → model should
launch/download with progress shown → conversation continues with the
response appended
- Select a new model from the picker → should still create a new
conversation as before
- New conversation with model download → progress bar shows correctly

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-24 19:08:31 +00:00
rltakashige 14526d281a update mlx 2 (#1611)
## Motivation

GPU locks because of prompt progress callbacks taking time. Current
solution: Don't fix it, make the symptom better

## Changes
Shortened timeout by 2x
Get event leak fixes from latest upstream
2026-02-24 18:30:48 +00:00
Evan Quiney 73e50df827 fix glm5 tool calling (#1612)
glm5 is a deepseekv32 model, so was parsing dsml style tool calls
instead of glm style tool calls. fix it!!
2026-02-24 18:21:18 +00:00
Alex Cheema 2b417f28ff fix: sync model selectors between sidebar and chat input (#1610)
## Motivation

The "Load Model" dropdown in the right sidebar and the model selector
above the chat input were operating on independent state
(`selectedPreviewModelId` vs `selectedChatModel`). This caused several
UX issues:
- Selecting a model in one selector didn't update the other
- After going home from a chat, the chat selector showed "SELECT MODEL"
while the sidebar still showed the model
- On page refresh, only the sidebar restored the saved model
- Sending a chat message with a running model briefly showed the
recommended models view instead of starting the chat

## Changes

- **`handleModelPickerSelect`**: Also sets `selectedChatModel` when a
model is picked from the sidebar dropdown
- **`handleChatPickerSelect`**: Also sets `selectedPreviewModelId` when
a model is picked from the chat selector
- **`handleGoHome`**: Restores `selectedChatModel` from the sidebar's
`selectedModelId` instead of clearing it
- **`applyLaunchDefaults`**: Syncs `selectedChatModel` when restoring
saved defaults on page load
- **`handleChatSend`**: Sets `chatLaunchState = "ready"` before calling
`sendMessage` when the model is already running, ensuring the chat view
renders correctly on view transition

## Why It Works

The two selectors were backed by different store properties that were
never kept in sync. By updating both properties in every selection path
(sidebar pick, chat pick, go-home, page restore), they always reflect
the same model. The `chatLaunchState = "ready"` fix mirrors what
`launchModelForChat` already does (line 2649) and prevents the chat
state from being "idle" when transitioning from the welcome view to the
chat view.

## Test Plan

### Manual Testing
<!-- Hardware: MacBook Pro M4 Max 48GB -->
- Select a model from sidebar "Load Model" dropdown → chat input
selector updates to match
- Select a model from chat input selector → sidebar dropdown updates to
match
- Launch a model, chat with it, click "Go Home" → both selectors show
the same model
- Refresh the page → both selectors show the previously selected model
- With a running model, type and send a message from the welcome view →
chat starts directly without flashing the recommended models view

### Automated Testing
No new automated tests — this is a UI state synchronization fix in the
Svelte dashboard with no backend changes.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-24 17:31:20 +00:00
Alex Cheema b65982ddd7 fix: improve text contrast on HOME and DOWNLOADS nav links (#1609)
## Motivation

Follow-up to #1601 (downloads page contrast fix). The HOME and DOWNLOADS
navigation links in the top-right header use `text-exo-light-gray`
(`oklch(0.6 0 0)`) which is too dim against the dark header background.

## Changes

Changed both nav links in `HeaderNav.svelte` from `text-exo-light-gray`
to `text-white/70` for better visibility. Hover state
(`text-exo-yellow`) is unchanged.

## Why It Works

`text-white/70` provides noticeably better contrast against
`bg-exo-dark-gray` while still looking subdued relative to the yellow
accent color on hover. This is consistent with the approach used in
#1601.

## Test Plan

### Manual Testing
- Verified both links are clearly readable on the home page and
downloads page
- Hover state still transitions to yellow as expected

### Automated Testing
- Dashboard builds successfully

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-24 13:48:40 +00:00
rltakashige 2fe689315b download .model files in exo bench (#1607)
## Motivation

failed again for kimi on a machine that had never downloaded it.

## Test Plan

### Manual Testing
it worked this time
2026-02-24 11:13:04 +00:00
Alex Cheema 644c5573ce fix: improve text contrast on downloads page (#1601)
## Summary
- Bumps opacity on dark-grey text/icons on the downloads page that were
nearly invisible against the dark background
- Informational text (GB sizes, speeds, disk free, model IDs) → full
`text-exo-light-gray`
- Interactive icons (delete, resume, retry) → `/70` at rest
- Hover-only elements (download button) → `/60`

## Test plan
- [ ] Open http://localhost:52415/downloads with models downloaded
- [ ] Verify GB downloaded amounts are clearly visible
- [ ] Verify delete trash icons are visible (not just on hover)
- [ ] Verify download speed text is readable
- [ ] Verify "paused" labels and resume buttons are visible
- [ ] Verify "X GB free" disk labels in column headers are readable

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-24 10:42:49 +00:00
rltakashige 12c3015f52 fix qwen moe tensor sharding (#1604)
## Motivation

<!-- Why is this change needed? What problem does it solve? -->
<!-- If it fixes an open issue, please link to the issue here -->

## Changes

<!-- Describe what you changed in detail -->

## Why It Works

<!-- Explain why your approach solves the problem -->

## Test Plan

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
<!-- What you did: -->
<!-- - -->

### Automated Testing
<!-- Describe changes to automated tests, or how existing tests cover
this change -->
<!-- - -->
2026-02-23 21:23:27 +00:00
rltakashige 365dd68d9a Final fixes for release (#1603)
## Motivation

<!-- Why is this change needed? What problem does it solve? -->
<!-- If it fixes an open issue, please link to the issue here -->

## Changes

<!-- Describe what you changed in detail -->

## Why It Works

<!-- Explain why your approach solves the problem -->

## Test Plan

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
<!-- What you did: -->
<!-- - -->

### Automated Testing
<!-- Describe changes to automated tests, or how existing tests cover
this change -->
<!-- - -->
2026-02-23 21:10:15 +00:00
Alex Cheema d3d129581e test: verify instance deletion cancels ongoing tasks (#1508)
## Summary
- The cancellation logic for issue #1215 already exists in
`get_transition_events()` (`src/exo/master/placement.py:208-227`) — when
an instance is deleted, `TaskStatusUpdated(Cancelled)` events are
emitted for all Pending/Running tasks on that instance
- Combined with PR #1276's token-boundary cancellation in runners, the
full pipeline works end-to-end
- However, the existing test
`test_get_transition_events_delete_instance` passed `{}` for tasks, so
this path was never exercised
- This PR adds 4 tests covering the cancellation behavior:
  - Running tasks are cancelled on instance deletion
  - Pending tasks are cancelled on instance deletion
  - Completed/Failed/TimedOut/Cancelled tasks are left alone
  - Only tasks matching the deleted instance are cancelled

Closes #1215

## Test plan
- [x] `uv run pytest src/exo/master/tests/test_placement.py -v` — all 15
tests pass
- [x] `uv run basedpyright` — 0 errors
- [x] `uv run ruff check` — all checks passed

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-23 20:12:23 +00:00
Alex Cheema c90a0cec78 fix: suppress closure errors in runnersupervisor and force spawn start method (#1547)
some errors could be thrown during shutdown - we can dismiss these safely

co-authored by me :)
2026-02-23 18:30:41 +00:00
Alex Cheema e8c1337168 fix: add download/resume buttons to pending downloads (#1581)
## Summary
- Adds a **resume button** (download icon) to paused pending downloads
(those with partial progress)
- Adds a **download button** to not-started pending downloads
- Both buttons call the existing `startDownload()` function which
handles both new downloads and resuming partial ones
- Previously, paused downloads only showed a "paused" label with no
action, and not-started downloads showed "..." with no way to trigger
them

## Test plan
- [ ] Build dashboard (`cd dashboard && npm run build`)
- [ ] Start exo, navigate to Downloads tab
- [ ] Verify paused downloads show a clickable resume (download arrow)
icon below the progress bar
- [ ] Verify not-started pending downloads show a clickable download
icon
- [ ] Click both button types and confirm downloads start/resume

> Note: Screenshot could not be captured because the dashboard requires
the exo backend API to render, and exo has a pre-existing
`Keypair.generate()` startup bug on main.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-23 18:20:35 +00:00
Alex Cheema 7024ddcf3e fix: detect completed downloads by checking final file exists (#1582)
## Summary

Split from #1547 per review feedback.

When scanning existing download status, `get_downloaded_size()` returns
bytes from either the final file or its `.partial` counterpart — so a
`.partial` file with all bytes downloaded (e.g. process killed before
hash verification and rename) could be falsely reported as complete.

The previous approach (commit 3b54e7df) added a byte-comparison fallback
in the coordinator (`downloaded >= total > 0`), but this suffered from
the same `.partial` conflation issue.

**Fix:** Check whether the final (non-`.partial`) file actually exists
on disk before marking status as `"complete"` in `download_utils.py`.
This is the only reliable signal that hash verification passed and the
rename from `.partial` succeeded. The coordinator-level byte comparison
is removed since the source now reports correctly.

### Changes
- `download_utils.py`: Add `final_file_exists` check — only report
`"complete"` when the renamed, hash-verified file exists with matching
size
- `coordinator.py`: Revert to simple `progress.status == "complete"`
check, removing the byte-comparison fallback

**Note:** The corresponding byte-comparison workaround in #1547 should
also be removed.

## Test plan
- [x] basedpyright — 0 errors
- [x] ruff check — passes
- [x] pytest — 218 passed, 1 skipped (1 pre-existing Rust bindings
failure)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-23 18:12:07 +00:00
Alex Cheema dc89ba662a feat: add info button to model picker variant rows (#1589)
## Motivation

When a model has multiple quantization variants (e.g., 4-bit, 8-bit),
expanding the group shows each variant's quantization and size — but
there's no way to see which specific nodes have each variant downloaded.
The top-level model group has an (i) info button, but the individual
variant rows don't. This makes it hard to tell which nodes have which
quantization.

## Changes

- Added an (i) info button to each expanded variant row in
`ModelPickerGroup.svelte`
- When clicked, opens the existing info modal scoped to that single
variant (showing its quantization, size, and which nodes have it
downloaded)
- Changed the variant row element from `<button>` to `<div
role="button">` to allow nesting the info `<button>` (matching the
pattern used by the top-level model row)

## Why It Works

Reuses the existing `onShowInfo` callback and info modal by constructing
a synthetic single-variant `ModelGroup` from the clicked variant. No
changes needed to `ModelPickerModal.svelte` — the info modal already
handles single-variant groups correctly.

## Test Plan

### Manual Testing
<!-- Hardware: MacBook Pro -->
- Open dashboard, open model picker
- Expand a model with multiple variants — each variant row now has an
(i) icon
- Click a variant's (i) — the info modal shows that single variant's
quantization/size and which nodes have it downloaded

### Automated Testing
- Dashboard builds successfully with `npm run build`
- `nix fmt` passes

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-23 09:53:36 -08:00
Alex Cheema 5cd96b5060 feat: seamless chat UX with auto model selection and smart recommendations (#1590)
## Motivation

The current chat experience requires users to manually select a model
before they can start chatting. This creates unnecessary friction —
especially for new users who may not know which model to pick.
Additionally, models that are already running or downloading appear
greyed out in the picker if available memory is low, making them
impossible to select even though they're already loaded.

## Changes

### New: ChatModelSelector component
- Category-based model recommendations (Best for Coding, Writing,
Agentic, Biggest) shown on the idle chat screen
- Tiered model ranking system (`AUTO_TIERS`) that picks the best model
fitting available memory
- Fixed-position tooltips that escape overflow-hidden ancestors

### Auto model selection from chat
- Typing in an empty chat auto-picks the best model using tier rankings
- Prefers already-running models over launching smaller new ones (avoids
the "launched a big model but recommends a smaller one" bug)
- If a model is already downloading/loading, attaches to existing
progress instead of launching a duplicate

### Launch-from-chat state machine
- Full `idle → launching → downloading → loading → ready` flow with
inline progress display
- `pendingAutoMessage` queue: messages typed during model launch are
remembered and sent once model is ready
- Fixed `$effect` race condition where restore effect competed with
auto-advance effect, causing lost messages

### Model picker improvements
- Instance status badges: green dot (ready), blue pulsing (downloading),
yellow pulsing (loading) on both group and variant rows
- "Ready" availability filter in ModelFilterPopover
- **Models with active instances (ready, downloading, loading) are never
greyed out** regardless of memory — they're already loaded/in-progress
and must be selectable

### Home page model display
- Model picker button shows the best running model name instead of "—
SELECT MODEL —" when a model is already active
- Uses the same `bestRunningModelId` tier-based derived as the chat
auto-selection

### Chat sidebar & form
- ChatSidebar conversation management with rename, delete, "New Chat"
- `userForcedIdle` guard prevents reactive effects from overriding
explicit user actions (e.g., clicking "New Chat")
- ChatForm simplified: uses ModelPickerModal instead of inline dropdown,
`modelDisplayOverride` prop for showing auto-selected models

## Why It Works

The tier-based auto-selection (`getAutoTierIndex` + `pickAutoModel`)
ensures users always get the best model their cluster can run. By
checking running instances first and comparing tiers, we avoid the bug
where loading a large model reduces available memory and causes a
smaller model to be recommended. The `$effect` ordering fix (moving the
`chatLaunchState === "ready"` guard after the `hasRunningInstance`
check) ensures pending messages are always delivered. The instance
status override in ModelPickerGroup (`anyVariantHasInstance`) ensures
models with active instances bypass memory-based greying regardless of
available RAM.

## Test Plan

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
<!-- What you did: -->
- Launch exo, navigate to Chat view
- Verify idle chat shows category recommendations (Coding, Writing,
Agentic, Biggest) based on available memory
- Type a message without selecting a model → verify auto-selection picks
the best tier model
- Launch a model, go to New Chat → verify the input bar shows the
running model name (not "SELECT MODEL")
- Launch a model, go to Home → verify model picker button shows the
running model
- While a model is downloading, send a message → verify download
progress appears and message is queued
- Open model picker with a model running → verify it is NOT greyed out
and is selectable
- Click "New Chat" while in a conversation → verify it resets to idle
with model selector

### Automated Testing
- Dashboard builds successfully (`cd dashboard && npm run build`)
- No TypeScript errors in the build output


🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-23 09:32:55 -08:00
rltakashige 05986f77aa add exo bench protobuf dependency (#1596)
kimi k2.5 requires protobuf
2026-02-23 16:45:22 +00:00
vskiwi dab7ed4821 fix: handle gossipsub MessageTooLarge error to prevent silent crash (#1583)
## Summary

Large prompts (70K+ tokens / ~500KB+ JSON) cause exo to silently crash.
The root cause is an unhandled `PublishError::MessageTooLarge` from
gossipsub when serialized `TextGeneration` commands exceed the 1MB
`max_transmit_size` limit.

The error propagates as a generic Python exception through the PyO3
bindings. Since `_networking_publish` in `router.py` only catches
`NoPeersSubscribedToTopicError` and `AllQueuesFullError`, the unhandled
exception crashes the networking async task, causing exo to shut down
silently — no error message, no API response.

## Changes

- **Rust (PyO3 bindings):** Add `MessageTooLargeError` exception class
and handle `PublishError::MessageTooLarge` explicitly in the gossipsub
publish path, matching the existing pattern for
`NoPeersSubscribedToTopicError` and `AllQueuesFullError`
- **Python (router):** Catch `MessageTooLargeError` in
`_networking_publish` and log a warning with the message size,
preventing the networking task from crashing

## Reproduction

On a multi-node cluster with a large model (e.g., GLM-5 754B tensor
parallel over JACCL RDMA):
1. Send a chat completion request with ~70K+ tokens
2. exo silently shuts down — no error logged, curl gets no response
3. With shorter prompts (< ~50K tokens): works fine

## Test plan

- Verified `cargo check` passes for `networking` and `exo_pyo3_bindings`
crates
- Verified `ruff check` passes for modified Python files
- Manual testing on 4× Mac Studio M3 Ultra cluster: 50K token requests
pass, 70K+ previously caused silent shutdown, now logs a warning and
drops the oversized message gracefully

Co-authored-by: vsm <vsm@nomail.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-23 16:21:21 +00:00
Evan Quiney 2261014715 runner process checks (#1592)
partial solve to some of the more mysterious failures

notably, runner now switches to failed after EXO RUNNER MUST OOM
2026-02-23 16:11:18 +00:00
Evan Quiney 61d2a2b6cf add lazy task group (#1569)
in a few places we instantiate task groups early, in others we have an
optional task group.

this standardizes these patterns into a lazy task group, which queues
tasks until it is entered, at which point it enters its inner task group
and starts all its queued tasks. it should be noted that no queued tasks
will be started until the group itself is started.
2026-02-23 16:05:59 +00:00
Evan Quiney 0ff99a2c40 fix isinstance for qwen3Moe (#1595)
we were checking if qwen3 had a transformers Qwen3DecoderLayer rather
than an mlx Qwen3MoeDecoderLayer causing an assertion error on loading
qwen models - this corrects it to the actual layer type
2026-02-23 15:39:13 +00:00
rltakashige fbb80e1cc9 Address ring slowdown by turning on FAST SYNCH (#1594)
## Motivation

Large models + large prompts + pipeline RING = 0.2tps generation speed
Large models + large prompts + pipeline JACCL = 15 tps generation speed

Why? Well, MLX_METAL_FAST_SYNCH is on in pipeline JACCL.

## Changes

Just turn on fast synch everywhere, especially as GPU locks are old news

Also, changed to use mx.device_info as mx.metal.device_info is going to
be deprecated.

## Why It Works

Some magic thing that happens in the mlx backend. I really tried to find
a regression but couldn't. I will probably try again at some point.

## Test Plan

### Manual Testing
Did a bunch, no longer 0.2tps

### Automated Testing
We'll do that today.
2026-02-23 15:14:58 +00:00
Jake Hillion 8d94eab6c6 bench: fix KeyError on DownloadCompleted total field
The bench harness accessed the serialized DownloadCompleted field as
"totalBytes", but the Python field is `total: Memory` which serializes
to "total" (not snake_case, so the camelCase alias generator leaves it
unchanged). This caused a KeyError when --danger-delete-downloads
needed to free disk space by deleting existing models.

Changed the key from "totalBytes" to "total" to match the actual
serialized JSON structure.

Test plan:
- CI
- Reproduced KeyError on unfixed code by filling disk on a test node
  to 14GB free and running exo-bench with a 16GB model
  (Meta-Llama-3.1-8B-Instruct-bf16) with --danger-delete-downloads
- Verified fixed code successfully deletes smaller models to free
  space and completes the benchmark run
2026-02-23 14:17:41 +00:00
Alex Cheema f370452d7e Better onboarding UX (#1533)
## Summary
- **Complete onboarding wizard**: 7-step flow guiding new users from
Welcome → Your Devices (topology) → Add More Devices (animation) →
Choose Model → Download → Load → Chat
- **Native macOS integration**: NSPopover welcome callout anchored to
menu bar icon on first launch, polished DMG installer with
drag-to-Applications arrow
- **Dashboard UX polish**: auto-download on model select, toast
notifications, connection banner, skeleton loading, download progress in
header, recommended model tags, sidebar hidden in home state for cleaner
first impression
- **Settings & menu bar overhaul**: native Settings window with Advanced
tab, onboarding reset, chat sidebar toggle

## Test plan
- [ ] Fresh install: verify onboarding wizard appears and flows Welcome
→ Topology → Animation → Model → Download → Load → Chat
- [ ] Verify topology shows real device data in onboarding step 2
- [ ] Verify selecting a model in the main dashboard picker
auto-triggers download
- [ ] Verify chat sidebar is hidden on home view, appears when chat is
active
- [ ] Verify DMG installer has white background with curved arrow
- [ ] Verify NSPopover appears anchored to menu bar icon on first launch

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: Ryuichi Leo Takashige <leo@exolabs.net>
2026-02-23 11:27:28 +00:00
Alex Cheema a4c2aa2b87 fix: raise error when MlxJaccl requested without RDMA cycles (#1585)
## Summary
- When MlxJaccl (RDMA) placement is requested but no RDMA-connected
cycles exist, raise a clear ValueError instead of silently falling back
to non-RDMA cycles
- Split from #1519 for independent review

## Test plan
- [x] basedpyright — 0 errors
- [x] ruff check — passes

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-23 10:09:01 +00:00
Alex Cheema 7312c535b4 feat: add user context prompt and GitHub issue option to macOS bug report (#1544)
## Summary

- When clicking "Send Bug Report" in the macOS app, users are now
prompted with "What's the issue? (optional)" before the diagnostic
upload begins
- The user's description is included in the uploaded report JSON
(`user_description` field)
- After successful upload, a "Create GitHub Issue" button opens the
browser to `github.com/exo-explore/exo/issues/new` pre-filled with the
user's description, macOS version, and EXO version

## Changes

- **`ContentView.swift`**: Replaced simple button with multi-phase
inline UI (idle → prompting → sending → success/failure). Added
`openGitHubIssue()` helper using `URLComponents` for pre-filled GitHub
issue URLs.
- **`BugReportService.swift`**: Added `userDescription` parameter to
`sendReport()` and `makeReportJson()`, included in the JSON payload when
non-empty.
- Removed the previous `BugReportModal.svelte` approach (the feature
belongs in the macOS app, not the dashboard).

## Test plan

- [ ] Build the Xcode project and run the macOS app
- [ ] Click "Send Bug Report" → verify text prompt appears
- [ ] Type a description, click Send → verify upload succeeds and
"Create GitHub Issue" button appears
- [ ] Click "Create GitHub Issue" → verify browser opens with pre-filled
template
- [ ] Test Cancel returns to idle, test empty description still works
- [ ] Test failure case (e.g. with exo stopped) shows error and dismiss

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-22 15:37:43 +00:00
Alex Cheema 18717023ad chore: remove deprecated MlxIbv dashboard references (#1584)
## Summary
- Remove legacy MlxIbvInstance references from ChatSidebar and ModelCard
components
- MlxIbv was replaced by MlxJaccl; these are leftover type checks
- Split from #1519 for independent review

## Test plan
- [x] Visual inspection of dashboard components

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-22 06:56:12 -08:00
Alex Cheema 1780e4ade4 fix: change RDMA AVAILABLE to RDMA NOT ENABLED warning (#1580)
## Summary
- Changed blue info badge "RDMA AVAILABLE" to yellow warning badge "RDMA
NOT ENABLED" — more accurately describes the state
- Added hover tooltip with enable instructions to all views (was missing
in 2 of 4 instances)
- Warning icon instead of info icon, consistent with other cluster
warnings (TB cycle, macOS mismatch)

## Screenshots

**Badge (yellow warning):**
![RDMA warning
badge](https://raw.githubusercontent.com/exo-explore/exo/3f7bdb482c5011d60f140aa84ab21023032e4a57/rdma-warning.png)

**Hover tooltip with instructions:**
![RDMA warning
hover](https://raw.githubusercontent.com/exo-explore/exo/3f7bdb482c5011d60f140aa84ab21023032e4a57/rdma-warning-hover.png)

## Test plan
- [x] Dashboard builds successfully
- [ ] Verify badge appears when 2+ TB5 nodes have RDMA disabled
- [ ] Verify hover tooltip shows in normal layout
- [ ] Verify hover tooltip shows in topology-only mode
- [ ] Verify dismiss button works
- [ ] Verify compact badge in status bar shows yellow warning

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-20 21:40:07 +00:00
Jake Hillion ab9273e723 downloads: add read_only flag to DownloadCompleted for EXO_MODELS_PATH
Models in EXO_MODELS_PATH are pre-downloaded into read-only directories
and must not be deleted. The DownloadCoordinator had no awareness of
these paths, so they never appeared as completed downloads in cluster
state, and the bench harness could attempt to delete them when freeing
disk space.

Added a `read_only: bool` field to `DownloadCompleted` (default False).
The DownloadCoordinator now checks `resolve_model_in_path` in
`_start_download`, proactively scans EXO_MODELS_PATH in
`_emit_existing_download_progress` to emit DownloadCompleted events for
all pre-downloaded models (overriding DownloadPending from the regular
scan), and refuses deletion of read-only models. The bench harness
filters out read-only models from deletion candidates.

Test plan:
- Ran with EXO_MODELS_PATH. Available models now show as downloaded in
  the UI. There isn't good UI for the fact they can't be deleted, but it
  should work with exo_bench.
2026-02-20 20:27:45 +00:00
Jake Hillion 71e48c0f62 model-cards: add missing metadata for Qwen3 Coder Next variants (#1576)
The Qwen3-Coder-Next model card TOML files were missing family,
quantization, base_model, and capabilities fields. This caused them not
to appear under the Qwen family filter in the dashboard's model picker.

Added the missing metadata to all five variants (4bit, 5bit, 6bit, 8bit,
bf16), matching the format used by the existing Qwen3-Coder-480B model
cards.

Test plan:
- Eyeballs
2026-02-20 18:25:49 +00:00
Jake Hillion 42da58c297 worker: add EXO_MODELS_PATH for pre-downloaded model directories
Users with pre-existing model files (e.g. on shared NFS mounts or from
prior downloads) had no way to point exo at those directories without
going through the download coordinator. EXO_MODELS_DIR only moves the
download target directory, it doesn't support read-only search paths.

Added EXO_MODELS_PATH environment variable as a colon-separated list of
directories to search for models. When the worker's plan loop encounters
a DownloadModel task, it checks these directories first and emits a
synthetic DownloadCompleted event if found, bypassing the download
coordinator entirely. The runner's build_model_path also checks these
directories first so the correct path is used during model loading.

This keeps the existing event sourcing state machine unchanged — the
DownloadCompleted event propagates naturally through the system, so
_load_model and all downstream logic work without modification.

Test plan:
- `s1@s1s-Mac-Studio ~ % EXO_LIBP2P_NAMESPACE=jake EXO_MODELS_PATH="/Volumes/Definitely Leo's SSD" nix --extra-experimental-features 'nix-command flakes' run github:exo-explore/exo/f2babbc2f742357d97dc177619fec062ef545be4`
- Started mlx-community/Qwen3-Coder-Next-4bit - it's present on the disk
  and it worked.
- Renamed one safetensor of mlx-community/Qwen3-Coder-Next-4bit on the
  disk. It then started the download locally, as expected.
2026-02-20 18:17:56 +00:00
Mustafa Alp Yılmaz 6b5a705959 fix: immediate cancel check after prefill completes (#1575)
## Problem

When a request is cancelled during prefill, the cancellation is not
detected until `check_for_cancel_every` additional tokens have been
generated. This is because `tokens_since_last_cancel_check` is
initialized to `0`, meaning the first cancel check only happens after
generating `check_for_cancel_every` tokens post-prefill.

For long prefills (which are the most likely to be cancelled), this adds
unnecessary latency before the cancellation is actually honoured.

## Fix

Initialize `tokens_since_last_cancel_check` to `check_for_cancel_every`
instead of `0`, so the very first token generated after prefill triggers
an immediate cancel check.

```diff
- tokens_since_last_cancel_check = 0
+ tokens_since_last_cancel_check = check_for_cancel_every
```

## Impact

- Cancellations issued during prefill are detected immediately when
generation begins
- No change in behaviour for non-cancelled requests (the counter resets
to `0` after each check as before)
- 1 line changed

Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-20 18:00:59 +00:00
Alex Cheema 6b54a27019 fix: add downloaded_bytes to DownloadPending event (#1564)
## Summary
- Add downloaded_bytes field to existing DownloadPending event for
accurate resume progress
- Minimal change per maintainer directive — no new download states
introduced

## Test plan
- [x] 42 tests passed, 1 skipped
- [x] Verified downloaded_bytes populates correctly for partial
downloads

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-20 17:54:18 +00:00
rltakashige e01f50a5cd Update mlx fork (#1565)
## Motivation

Some fixes upstream. This sort of commit will probably be quite common
until GPU locks are resolved.
2026-02-20 17:23:52 +00:00
Evan Quiney 1093080214 cancel active downloads on coordinator shutdown (#1567)
we were seeing some crashes as lost download tasks were trying to push
data toward a deleted coordinator. this cancels download tasks with the
coordinator's shutdown on master election
2026-02-20 17:17:43 +00:00
rltakashige 1a2b8b044a Refactor runner into separate runners (#1570)
## Motivation

We're going to be refactoring the llm inference code, so we should split
the runner up into parts while we can.

## Test Plan

### Manual Testing
Works on single node, at least.

### Automated Testing
Passes CI. Will be tested by our tests today.
2026-02-20 17:11:01 +00:00
Evan Quiney dc8d42b4dc add system ids (#1536)
addresses some election edge cases where a new worker with an old master
would get stuck on the old workers buffer index - we now use new system
ids each time we instantiate a node, and each event-producing system has
a unique system id for its lifespan (until the master moves).
2026-02-20 15:41:59 +00:00
Jake Hillion d484b062e8 bench: add download timing to bench output (#1566)
The bench script downloads models during the planning phase but doesn't
record how long the download took, making it difficult to track download
performance for a given model over time.

Modified `run_planning_phase` to return download metadata: whether a
fresh download occurred, the wall-clock duration, and the model size in
bytes. These fields are included in every JSON output row alongside the
existing per-run metrics, and a summary line is logged to the console.

This allows filtering bench results by `download_occurred` and grouping
by `model_id` to compute average download times across runs.

Test plan:

```
# existing model
jake@maverick:/data/users/jake/repos/exo/ > nix run .#exo-bench -- --host s1 --model mlx-community/gpt-oss-120b-MXFP4-Q8 --pp 128 --tg 128
...
2026-02-20 15:23:49.081 | INFO     | __main__:main:340 - Planning phase: checking downloads...
2026-02-20 15:23:49.152 | INFO     | harness:run_planning_phase:402 - Started download on 12D3KooWKx41iikn188ozrxSdoG26g88jFCfie9wEA1eQR8csbPm
2026-02-20 15:23:49.184 | INFO     | __main__:main:352 - Download: model already cached
...
Wrote results JSON: bench/results.json
jake@maverick:/data/users/jake/repos/exo/ > cat bench/results.json
[
  {
    "elapsed_s": 2.9446684420108795,
    "output_text_preview": "The user just typed a long series of \"a\". Possibly they are testing. There's no explicit question. Could be they want a response? Might be a test of handling long input. We can respond politely, ask i",
    "stats": {
      "prompt_tps": 117.7872141515621,
      "generation_tps": 85.49598231498028,
      "prompt_tokens": 129,
      "generation_tokens": 128,
      "peak_memory_usage": {
        "inBytes": 68215145744
      }
    },
    "model_short_id": "gpt-oss-120b-MXFP4-Q8",
    "model_id": "mlx-community/gpt-oss-120b-MXFP4-Q8",
    "placement_sharding": "Pipeline",
    "placement_instance_meta": "MlxRing",
    "placement_nodes": 1,
    "instance_id": "68babc2a-6e94-4c70-aa07-7ec681f7c856",
    "pp_tokens": 128,
    "tg": 128,
    "repeat_index": 0
  }
]%
# no change to output
```

```
# missing model
jake@maverick:/data/users/jake/repos/exo/ > nix run .#exo-bench -- --host s1 --model mlx-community/Meta-Llama-3.1-8B-Instruct-4bit --pp 128 --tg 128
...
2026-02-20 15:24:42.553 | INFO     | __main__:main:340 - Planning phase: checking downloads...
2026-02-20 15:24:42.625 | INFO     | harness:run_planning_phase:402 - Started download on 12D3KooWKx41iikn188ozrxSdoG26g88jFCfie9wEA1eQR8csbPm
2026-02-20 15:25:37.494 | INFO     | __main__:main:350 - Download: 54.9s (freshly downloaded)
...
Wrote results JSON: bench/results.json
jake@maverick:/data/users/jake/repos/exo/ > cat bench/results.json
[
  {
    "elapsed_s": 1.500349276990164,
    "output_text_preview": "It seems like you've entered a large number of 'a's. If you'd like to discuss something or ask a question, I'm here to help. If not, is there anything else I can assist you with? \n\nIf you're intereste",
    "stats": {
      "prompt_tps": 395.43264952543666,
      "generation_tps": 128.03520443181478,
      "prompt_tokens": 129,
      "generation_tokens": 128,
      "peak_memory_usage": {
        "inBytes": 5116952079
      }
    },
    "model_short_id": "Meta-Llama-3.1-8B-Instruct-4bit",
    "model_id": "mlx-community/Meta-Llama-3.1-8B-Instruct-4bit",
    "placement_sharding": "Pipeline",
    "placement_instance_meta": "MlxRing",
    "placement_nodes": 1,
    "instance_id": "ccd9bd71-d4cc-4b75-a37f-98090544626a",
    "pp_tokens": 128,
    "tg": 128,
    "repeat_index": 0,
    "download_duration_s": 54.88322358299047
  }
]%
# one new field
```
2026-02-20 15:33:08 +00:00
Alex Cheema e32b649d2f fix: enable psutil fallback for memory monitoring when macmon is missing (#1478)
## Summary
- On macOS, memory monitoring relied exclusively on `macmon` — the
psutil fallback was explicitly disabled (`memory_poll_rate = None`)
- When `macmon` is not installed (e.g., mac-mini-2 through mac-mini-4 in
our cluster), **no memory data was reported**, causing nodes to show 0GB
memory in the cluster state
- This blocked the scheduler from placing shards on those nodes since it
had no memory data to work with
- Fix: when `macmon` is not found on Darwin, fall back to psutil-based
memory polling (`memory_poll_rate = 1`)

## Root cause
`InfoGatherer` has two memory monitoring paths:
1. `macmon` (Darwin-only): provides memory + GPU/CPU/power stats
2. `psutil` (non-Darwin fallback): provides memory via
`MemoryUsage.from_psutil()`

Line 378 disabled psutil on Darwin: `memory_poll_rate = None if
IS_DARWIN else 1`
Line 389 only starts macmon if the binary exists: `if
shutil.which("macmon") is not None`

If macmon is missing on Darwin, **neither path runs** — zero memory
reported.

## Test plan
- [ ] Verify `uv run basedpyright` passes (0 errors confirmed)
- [ ] Verify `uv run ruff check` passes (confirmed)
- [ ] Verify `uv run pytest src/exo/utils/info_gatherer/` passes (2/2
confirmed)
- [ ] Deploy to cluster nodes without macmon and verify memory appears
in `/state`

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-20 13:12:22 +00:00
Alex Cheema bddad7e79c feat: show ETA on prefill progress bar (#1557)
## Summary
- Show estimated time remaining during prefill (prompt processing phase)
- Track prefill start time via performance.now() and extrapolate from
observed token throughput
- Display ~Xs remaining or ~Xm Ys remaining next to the percentage on
the progress bar
- Wait 200ms before showing ETA to ensure a stable sample window

## Changes
**PrefillProgressBar.svelte**: Add etaText derived computation that
calculates remaining time from (remainingTokens / tokensPerMs). Renders
in a new flex row below the progress bar alongside the percentage.

**app.svelte.ts**: Add startedAt: number field to PrefillProgress
interface. Set on first prefill_progress SSE event, preserved across
subsequent updates.

## Test plan
- [ ] Start inference with a long prompt (10k+ tokens) on a multi-node
cluster
- [ ] Verify the progress bar shows ~Xs remaining after ~200ms of
prefill
- [ ] Verify the ETA decreases as prefill progresses
- [ ] Verify short prefills (<200ms) dont flash a briefly-visible ETA
- [ ] Verify ETA disappears when prefill completes and token generation
begins

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-20 12:37:56 +00:00
rltakashige addf73a144 Add support for Ollama API (#1560)
## Motivation

Ollama has a bunch of integrations, such as OpenWebUI, that are very
handy. Let's support it :)

## Test Plan

### Manual Testing
<img width="3426" height="1998" alt="image"
src="https://github.com/user-attachments/assets/44b07f1e-308e-4ff1-9a11-922d8279939f"
/>
2026-02-20 12:03:27 +00:00
Mustafa Alp Yılmaz a16ff2c047 fix: correct misleading docstring in seed_models (#1561)
## Summary
- Fixed stale docstring in `seed_models()` that referenced
`.cache/huggingface/hub` when the function actually moves models to
`EXO_MODELS_DIR` (resolved via `ensure_models_dir()`)
- The old docstring was misleading for AI coding agents analyzing the
codebase, causing incorrect conclusions about model storage paths

## Changes
`src/exo/download/download_utils.py`: Updated docstring from `"Move
model in resources folder of app to .cache/huggingface/hub"` to `"Move
models from resources folder to EXO_MODELS_DIR."`

Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-20 11:57:55 +00:00
rltakashige 3006c8ea4e Ensure coordinator is rank 0 (#1559)
## Motivation

Coordinator can be a random rank. Let's just fix this to rank 0 as
that's what we typically assume.

## Test Plan

### Manual Testing
Works as normal on 2 nodes.


Let's wait for a little more testing to merge this.

---------

Co-authored-by: Evan <evanev7@gmail.com>
2026-02-20 11:46:24 +00:00
rltakashige f662c129dd Prioritise tb for ring instances (#1556)
## Motivation

TB has better bandwidth and latency than ethernet. We should prioritise
TB5 where possible. This drastically improves distributed image
generation performance.

## Test Plan

### Manual Testing
Saw on the dashboard that TB (169.254) addresses were prioritised.

Tested that image models scale much better.

### Automated Testing
No regression on Kimi K2.5
2026-02-19 21:32:48 +00:00
Evan Quiney c45ff9ad43 memory tidy (#1558)
add some pythonic extensions to memory, did a bunch of cleanup.
2026-02-19 21:15:33 +00:00
rltakashige 7031901ae5 Prevent common fatal crashes (#1555)
## Motivation
Occasionally, memory does not get released when we shut down. There is
no reason to delay deleting the model.

Also handles can become None during shutdown, causing TypeErrors which
are not handled and bringing down exo.

Similarly, we were closing the event sender in the wrong place.

Also let's not verify the SSL certificate for http connections to local
peers, as this is failing sometimes and crashing.

## Test Plan

### Manual Testing
No more crashes as described.
2026-02-19 20:51:17 +00:00
rltakashige cf648a53b8 Add thinking in thinking blocks, and fix DeepSeek interleaved tool calls (#1548)
## Motivation

OpenCode shows <think> tags and not thinking blocks as we aren't
following the API specs properly.

Claude was also getting horrible prefix cache hits because it sends
headers.

## Changes

Handle thinking tokens properly by placing them in think tags for each
of the API endpoints.
Also support DeepSeekV3.2 tool calling properly as a minor feature.
Strips Claude headers at the API level.

## Test Plan

### Manual Testing
Tested OpenCode manually
Needs testing with Claude.

### Automated Testing
All CI and tests passing - added a new e2e test for DeepSeekV32 tool
parsing.
2026-02-19 18:44:49 +00:00
Alex Cheema 94b2ce6922 feat: Mac Studio en2 RDMA port warning v2 (#1551)
Rebuilt from scratch (replaces PR #1543). Detects when Mac Studio uses
RDMA over en2 (TB5 port next to Ethernet) which does not support RDMA.
Shows dismissible warning banner with hover tooltip showing affected
devices, SVG rear panel illustration, and fix instructions. 205 lines in
+page.svelte.

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-19 18:39:17 +00:00
rltakashige 423ed0f07f Strip Claude headers to improve prefix cache hit rates (#1552)
## Motivation
Our hits are really bad at the moment (0.2%). This PR makes it 98.5% on
average.

## Changes

Also adds an example for how to run Claude using Exo.

## Why It Works
Claude sends some billing and session headers that change with each
message.

## Test Plan

### Manual Testing
Works in manual testing.
2026-02-19 18:29:34 +00:00
Evan Quiney ed001f2409 remove prefillprogress event (#1550)
this should never have been a separate event, but i didnt quite
communicate that well when this was merged. convert PrefillProgress to a
chunk like the rest of the runner responses.

tested with Llama-3.3-70B, prefill progress events still show up in the
dashboard as usual
2026-02-19 18:23:28 +00:00
Evan Quiney 4c4c6ce99f simplify rust ident module
this is partly dead code, partly narrowing the rust-python boundary in
prep for future rewrites. no testing as this is all type safe
refactoring.
2026-02-19 17:19:31 +00:00
Jake Hillion 42e1e7322b bench: restore --danger-delete-downloads planning phase (#1542)
c2f2111b extracted shared utilities from exo_bench.py into harness.py
but accidentally dropped the run_planning_phase function and
--danger-delete-downloads CLI argument in the process.

Restored run_planning_phase in harness.py (where its dependencies now
live) and re-added the --danger-delete-downloads argument to
add_common_instance_args. Re-wired the planning phase call in
exo_bench.py's main() before the benchmark loop.
2026-02-19 15:42:02 +00:00
Alex Cheema aa3f106fb9 fix: import ResponsesStreamEvent and DRY up SSE formatting (#1499)
## Summary
- `ResponsesStreamEvent` was defined in `openai_responses.py` as a union
of all 11 streaming event types but never imported or used anywhere in
the codebase
- Import it in the responses adapter and add a `_format_sse(event:
ResponsesStreamEvent) -> str` helper
- Replace 13 hardcoded `f"event: {type}\ndata:
{event.model_dump_json()}\n\n"` strings with `_format_sse()` calls

## Test plan
- [x] `uv run basedpyright` — 0 errors
- [x] `uv run ruff check` — all checks passed
- [x] `nix fmt` — 0 files changed
- [x] `uv run pytest` — 188 passed, 1 skipped

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-19 13:40:24 +00:00
Mustafa Alp Yılmaz 2e29605194 fix: finalize cancel tasks (#1498)
# Cancel task finalization (main.py)

After forwarding the cancel to the runner supervisor, emit TaskStatusUpdated(Complete) for the cancel task itself. This ensures the cancel task is properly removed from state.tasks.
2026-02-19 13:27:34 +00:00
Evan Quiney cacb456cb2 remove nightly (#1538)
we have no good need for rust nightly (nor futures, for that matter)
2026-02-19 12:55:31 +00:00
rltakashige 51021f6fc6 Add cancellation button and the ability to cancel during prefill (#1540)
## Motivation
There's no way to easily use the cancellation features we added! Also,
prefill can take ages so let's allow cancelling out of that.

## Changes

Wiring up our existing functionality to easily cancel during generation
(and adding stuff to do so during prefill)

## Test Plan

### Manual Testing
Tested it works during both prefill and decode.

### Automated testing
Needs testing to see if this causes a GPU timeout error on large prefill
on large models in pipeline parallel. However, from manually testing GLM
5 pipeline ring on 2 nodes, and from reading the code, it does not seem
like this will be the case.
2026-02-19 11:40:59 +00:00
Alex Cheema 025ed9fd82 feat: add prefill progress bar for long prompts (#1181)
## Motivation

Users processing long prompts have no visibility into when token
generation will start. This feature adds a progress bar showing prefill
progress, giving users real-time feedback during prompt processing.

## Changes

### Backend
- Added `PrefillProgress` event type with `command_id`,
`processed_tokens`, `total_tokens`
- Added `PrefillProgressResponse` type (though now using direct callback
approach)
- Wired `prompt_progress_callback` through MLX's `stream_generate()`
- Progress events sent directly from callback for real-time updates (not
batched)
- API generates SSE named events: `event: prefill_progress\ndata: {...}`
- Added `PrefillProgressData` dataclass and `StreamEvent` union type in
API

### Dashboard
- Added `PrefillProgress` interface to store
- Updated SSE parsing to handle `event:` lines (named events)
- Created `PrefillProgressBar.svelte` with animated progress bar
- Shows "Processing prompt: X/Y tokens" with percentage
- Progress bar disappears when first token arrives

## Why It Works

MLX's `stream_generate()` accepts a `prompt_progress_callback(processed,
total)` that's called after each prefill chunk. By sending events
directly from this callback (rather than yielding from the generator),
progress updates are sent in real-time during prefill.

Using SSE named events (`event: prefill_progress`) maintains full
OpenAI/Claude API compatibility - standard clients ignore named events
they don't recognize, while the exo dashboard explicitly listens for
them.

## Test Plan

### Manual Testing
- Hardware: MacBook Pro M3 Max
- Set `prefill_step_size=256` for more frequent updates
- Tested with long prompts (pasted large documents)
- Verified progress bar updates incrementally during prefill
- Confirmed progress bar disappears when generation starts
- Tested with curl - standard `data:` events still work normally

Here is it working:


https://github.com/user-attachments/assets/5cc6f075-c5b2-4a44-bb4d-9efb246bc5fe


### Automated Testing
- Type checker passes (0 errors)
- All 192 tests pass
- Dashboard builds successfully

### API Compatibility
- Named SSE events are ignored by OpenAI SDK clients
- Regular token data uses standard `data: {...}` format
- `[DONE]` sentinel works as expected

---

**Note:** `prefill_step_size` is temporarily set to 256 for testing.
Should be changed back to 2048 before merging for production
performance.

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: Evan <evanev7@gmail.com>
Co-authored-by: Ryuichi Leo Takashige <leo@exolabs.net>
2026-02-19 03:18:25 +00:00
rltakashige 19bc09550d Add status=downloaded filter for model endpoint (#1539)
## Motivation

https://github.com/exo-explore/exo/issues/1346#issuecomment-3831427905


## Test Plan

### Manual Testing
**Without filter**
<img width="1708" height="1010" alt="Screenshot 2026-02-18 at 22 26 22"
src="https://github.com/user-attachments/assets/f4bf7142-717d-4042-ac28-d8a55a8e45e7"
/>

**With filter**
<img width="1723" height="1021" alt="Screenshot 2026-02-18 at 22 26 45"
src="https://github.com/user-attachments/assets/40a522d5-c6e6-4148-b21a-02caa1221ebe"
/>
2026-02-18 22:34:11 +00:00
Alex Cheema 7cadca4f27 Try multiple endpoints for internet connectivity check (#1516)
## Summary
- `_test_internet_connection()` previously only tried `1.1.1.1:443`,
which some ISPs/networks block, causing exo to incorrectly report no
internet and fail downloads on startup
- Now tries `1.1.1.1`, `8.8.8.8`, and `1.0.0.1` in sequence, succeeding
if any endpoint responds
- Returns early on first success for minimal latency in the common case

Fixes #1425

## Test plan
- [ ] Verify downloads work on networks that block `1.1.1.1`
- [ ] Verify existing behavior unchanged on networks where `1.1.1.1`
works
- [ ] Verify `internet_connection` is set to `False` only when all three
endpoints fail

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-18 22:10:07 +00:00
rltakashige 24e99ce197 Cleanup mistakes (#1537)
Oops
2026-02-18 22:05:26 +00:00
Alex Cheema 315992549b fix: unblock MpReceiver.close() to prevent shutdown hang (#1511)
## Summary

- `MpReceiver.close()` did not unblock threads stuck on `queue.get()` in
`receive_async()`, causing abandoned threads (via
`abandon_on_cancel=True`) to keep the Python process alive indefinitely
after tests pass
- This caused the `aarch64-darwin` CI jobs in PR #1462 to hang for ~6
hours until the GitHub Actions timeout killed them
- Sends an `_MpEndOfStream` sentinel before closing the buffer,
mirroring what `MpSender.close()` already does

## Test plan

- [x] `uv run basedpyright` — 0 errors
- [x] `uv run ruff check` — clean
- [x] `nix fmt` — 0 changed
- [x] `uv run pytest` — 188 passed, 1 skipped in 12s (no hang)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
Co-authored-by: Ryuichi Leo Takashige <leo@exolabs.net>
2026-02-18 21:59:02 +00:00
Alex Cheema ce5a65d3b9 Add MiniMax M2.5 model cards (#1514)
## Summary
- Adds model cards for MiniMax M2.5 in three quantizations: 4bit (~129
GB), 6bit (~186 GB), 8bit (~243 GB)
- No code changes needed — `MiniMaxM2ForCausalLM` is already in the
tensor parallel whitelist and `MiniMaxShardingStrategy` is already
implemented in `auto_parallel.py`
- Credit to @vskiwi for confirming MiniMax M2.5 works out of the box
with existing code

Closes #1480

## Test plan
- [x] `basedpyright` passes with 0 errors
- [x] `ruff check` passes
- [x] `pytest` passes (260 passed, 1 skipped)
- [ ] Verify MiniMax M2.5 models appear in model selector on dashboard

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-18 21:11:13 +00:00
rltakashige c2f2111b88 Fix tool calling (#1529)
## Motivation

GPT OSS tool calling issues.

## Changes

Fixes those and adds a bunch of evals for tool calling.
Fixes GLM5 prefix caching, where CacheList wasn't getting handled
properly.
Extracts a bunch of the setup functionality of exo bench to a harness
that can be reused elsewhere, such as in the tool calling eval.

## Test Plan
### Automated Testing
Let's run the evals for all models
2026-02-18 20:29:18 +00:00
Alex Cheema 6c322ebb72 feat: only show thinking toggle for models that support it (#1497)
## Summary
- Adds `thinking_toggle` capability to 26 model cards that support
toggling thinking mode on/off
- GPT-OSS models (20b, 120b) excluded — they always think and don't
support toggling
- Dashboard UI updated to check for `thinking_toggle` capability before
showing the toggle button

## Test plan
- [x] `uv run basedpyright` — 0 errors
- [x] `uv run ruff check` — all checks passed
- [x] `nix fmt` — 0 files changed
- [x] `uv run pytest` — 188 passed, 0 failed
- [x] Security review passed (no secrets, eval/exec, innerHTML, or dep
changes)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-18 17:05:00 +00:00
vskiwi 2ebe6216b4 feat: add explicit --offline mode for air-gapped clusters (#1525)
## Motivation

Closes #1510

There is currently no reliable way to run exo on an air-gapped or offline cluster where models are pre-staged on local disks. The two existing mechanisms — `--no-downloads` and `HF_HUB_OFFLINE=1` — each cover only a subset of the problem:

1. **`--no-downloads` blocks model loading**: When passed, `DownloadCoordinator` is not created. No `NodeDownloadProgress` events are ever emitted, so `_model_needs_download()` in `plan.py` perpetually returns `DownloadModel`, short-circuiting `_load_model()` and preventing the model from ever being loaded.

2. **`HF_HUB_OFFLINE=1` doesn't cover exo's aiohttp code**: exo's download pipeline primarily uses raw `aiohttp` for HTTP operations (file list fetching, file downloads, HEAD verification), not the `huggingface_hub` library. These calls will attempt connections and time out on air-gapped networks.

3. **`skip_internet` is not propagated to `download_file_with_retry()`**: Even when `internet_connection = False`, the `_download_file()` function still makes HTTP HEAD calls via `file_meta()` to verify local files and unconditionally attempts downloads for missing files.

## Changes

### `src/exo/main.py`
- Add `--offline` flag to `Args` with env var detection (`EXO_OFFLINE=1`, `HF_HUB_OFFLINE=1`)
- Pass `offline` to `DownloadCoordinator` at creation and re-creation (election loop)

### `src/exo/download/coordinator.py`
- Add `offline: bool = False` field
- In offline mode: set `internet_connection = False` immediately in `__post_init__`, skip `_test_internet_connection()` ping (avoids 3s timeout), skip `_check_internet_connection` periodic loop
- In `_start_download()`: if model is not fully available locally, emit `DownloadFailed` with clear message instead of starting a download task

### `src/exo/download/download_utils.py`
- Add `skip_internet: bool` parameter to `download_file_with_retry()` and `_download_file()`
- When `skip_internet=True` in `_download_file()`: return local file immediately without HTTP HEAD verification; raise `FileNotFoundError` for missing files
- Propagate `skip_internet` from `download_shard()` to `download_file_with_retry()`

### `src/exo/download/tests/test_offline_mode.py` (new)
- 8 tests covering `_download_file`, `download_file_with_retry`, and `fetch_file_list_with_cache` in offline mode

## Why It Works

Unlike `--no-downloads` which disables `DownloadCoordinator` entirely, `--offline` keeps the coordinator running in a restricted mode. The existing `_emit_existing_download_progress()` disk scanner still runs every 60 seconds, emitting `DownloadCompleted` events for pre-staged models. These events flow through the event-sourcing pipeline and populate `state.downloads`, which unblocks `_model_needs_download()` in `plan.py` — no changes to the planning logic required.

```
--offline flag
  → DownloadCoordinator (offline mode)
    → Skip 1.1.1.1 ping, internet_connection = False
    → _emit_existing_download_progress scans disk
      → Emits DownloadCompleted for pre-staged models
        → _model_needs_download sees DownloadCompleted
          → _load_model proceeds normally
```

## Test Plan

### Automated Testing
- `ruff check` — passes
- 8 new tests in `test_offline_mode.py` — all pass
- 11 existing download tests in `test_download_verification.py` — all pass (no regressions)

### Manual Testing
1. Pre-stage a model on disk (e.g., `~/.exo/models/mlx-community--Qwen3-0.6B-4bit/`)
2. Start exo with `--offline` (or `EXO_OFFLINE=1`)
3. Place an instance via API or dashboard
4. Verify: model loads into memory and inference works without any network calls

### Environment
- macOS (Apple Silicon), multi-node cluster with Thunderbolt interconnect
- Models pre-staged via rsync / NFS mount
2026-02-18 16:18:09 +00:00
ciaranbor f54c80b121 Ciaran/image edit api (#1500)
## Motivation

- Image editing previously ignored input image dimensions, always
defaulting to 1024x1024
- Size dropdown was hidden in edit mode, giving users no control over
output dimensions
- Portrait/landscape presets used non-standard aspect ratios (1024x1365
/ 1365x1024)

## Changes

- Added "auto" size option that uses input image dimensions for edits,
defaults to 1024x1024 for generation
- Introduced ImageSize Literal type and normalize_image_size() validator
(replaces raw str size fields)
  - Updated portrait/landscape presets to standard 1024x1536 / 1536x1024
  - Made size selector visible in edit mode (previously hidden)
  - Default size changed from "1024x1024" to "auto"

## Why It Works

- "auto" reads actual input image dimensions via PIL at generation time,
so edits preserve the original aspect ratio
- Pydantic field_validator on both ImageGenerationTaskParams and
ImageEditsTaskParams normalizes None → "auto", keeping the API
backward-compatible

## Test Plan

### Manual Testing

- Verify image edits output at the input image's native resolution when
size is "auto"
- Verify size dropdown appears and works in both generate and edit modes
2026-02-18 16:05:39 +00:00
rltakashige 48b8f86395 Add support for GLM 5 (#1526)
## Motivation

Add GLM 5 support in favor of #1513 

## Changes

<!-- Describe what you changed in detail -->

## Why It Works

<!-- Explain why your approach solves the problem -->

## Test Plan

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
<!-- What you did: -->
<!-- - -->

### Automated Testing
<!-- Describe changes to automated tests, or how existing tests cover
this change -->
<!-- - -->
2026-02-18 14:04:06 +00:00
Evan 5cbd6377a2 prioritize official model cards over custom model cards
our old model card search path would override official model cards with
custom model cards - our packaged model cards should always be the
default here
2026-02-18 13:20:05 +00:00
Evan Quiney 8f01523ddb remove dead code (#1496) 2026-02-18 11:43:27 +00:00
Alex Cheema 3addeadea8 Update mlx-lm to 0.30.7 (#1520)
## Summary
- Bumps `mlx-lm` from 0.30.6 to 0.30.7 in `pyproject.toml` and `uv.lock`

## Test plan
- [x] `uv lock` resolves successfully
- [x] `basedpyright` — no new errors (63 pre-existing in unrelated
`test_tool_call_tracker.py`)
- [x] `ruff check` — all checks passed
- [x] `nix fmt` — no formatting changes
- [x] `pytest` — 188 passed, 1 skipped

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-18 11:14:23 +00:00
rltakashige f2be929211 Leo/address rdma gpu locks 2 (#1515)
Same as #1489 . Had to revert and redo thanks to Claude.

---------

Co-authored-by: Jake Hillion <jake@hillion.co.uk>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 14:00:52 -08:00
rltakashige 83af8c63fa Revert "Use custom fork that resolves GPU locks" (#1502)
Reverts exo-explore/exo#1489

Goddammit Claude...
2026-02-17 18:18:54 +00:00
Evan Quiney eccc6298d1 Revert "Add MetaInstance declarative layer (#1447)"
This reverts commit a962a28afc.
2026-02-17 18:11:47 +00:00
Evan Quiney c8997217cf Revert "feat: better onboarding UX for new users (#1479)"
This reverts commit 490d2e46ba.
2026-02-17 18:02:32 +00:00
Alex Cheema 490d2e46ba feat: better onboarding UX for new users (#1479)
## Summary

- **Auto-open dashboard** in browser on first launch (uses
`~/.exo/.dashboard_opened` marker)
- **Welcome overlay** with "Choose a Model" CTA button when no model
instance is running
- **Tutorial progress messages** during model download → loading → ready
lifecycle stages
- **Fix conversation sidebar** text contrast — bumped to white text,
added active state background
- **Simplify technical jargon** — sharding/instance type/min nodes
hidden behind collapsible "Advanced Options" toggle; strategy display
hidden behind debug mode
- **Polished DMG installer** with drag-to-Applications layout, custom
branded background, and AppleScript-configured window positioning

## Test plan

- [ ] Launch exo for the first time (delete `~/.exo/.dashboard_opened`
to simulate) — browser should auto-open
- [ ] Verify welcome overlay appears on topology when no model is loaded
- [ ] Launch a model and verify download/loading/ready messages appear
in instance cards
- [ ] Check conversation sidebar text is readable (white on dark, yellow
when active)
- [ ] Verify "Advanced Options" toggle hides/shows sharding controls
- [ ] Build DMG with `packaging/dmg/create-dmg.sh` and verify
drag-to-Applications layout

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 17:52:49 +00:00
rltakashige facf2d4d03 Use custom fork that resolves GPU locks (#1489)
## Motivation

There is an issue on Macs that means that an explicit synchronization is
necessary for memory to be updated from L1 cache. This means that GPU
locks can occur when a spin wait does not see the updated timestamp.

## Changes

Updated in my own personal fork.

## Why It Works

https://github.com/ARM-software/acle/releases

## Test Plan

### Manual Testing
Tested manually that no GPU locks occur (even with multiple simultaneous
instances running) and that the performance differential is negligible
(267 vs 269 tps on Llama 3.2 1B at an approx 10k context.)


------------------------------------------------------
I have seen a GPU lock, specifically when sending a particularly large
chat completion while the model was loading. However, I have since been
unable to reproduce and this may be something I did wrong. Please do
create an issue and tag me if any GPU locks do occur.

---------

Co-authored-by: Jake Hillion <jake@hillion.co.uk>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 17:48:43 +00:00
Alex Cheema a962a28afc Add MetaInstance declarative layer (#1447)
## Motivation

Users currently manage instances directly, which means if a node
disconnects or connections break, the instance dies and nothing
recreates it. MetaInstance is a declarative primitive: "ensure an
instance matching these parameters always exists." The reconciler
watches for unhealthy or missing backing instances and re-places them
automatically.

## Changes

- **MetaInstance type** (`meta_instance.py`): declarative constraint
with `model_id`, `min_nodes`, optional `node_ids`, and `sharding`
- **Reconciler** (`reconcile.py`): `find_unsatisfied_meta_instances`
checks which MetaInstances lack a healthy backing instance,
`try_place_for_meta_instance` creates one
- **Master loop** (`main.py`): periodically reconciles unsatisfied
MetaInstances; immediate placement on `CreateMetaInstance` command
- **API** (`api.py`): `create_meta_instance` / `delete_meta_instance` /
`GET /meta_instances` endpoints; delete cascades to backing instances
with task cancellation
- **Binding via `meta_instance_id` on Instance** (`instances.py`): no
separate binding event or backing map — the instance carries its parent
MetaInstance ID directly, eliminating race conditions in the reconciler
- **Dashboard**: sidebar shows MetaInstances with their backing instance
status; orphan instances (created directly) still shown separately
- **Tests**: constraint matching, connection health, unsatisfied
detection, exclusive binding, cascade delete with task cancellation

### Recent improvements

- **fix: cancel active tasks on cascade delete** — `DeleteMetaInstance`
now emits `TaskStatusUpdated(Cancelled)` for any Pending/Running tasks
on backing instances before emitting `InstanceDeleted`. Previously,
cascade-deleting backing instances left orphaned task references in
state.
- **Lifecycle logging** — added `logger.info`/`logger.warning` for:
`CreateMetaInstance` (model, min_nodes, sharding), `DeleteMetaInstance`
(with cascade count), reconciler placement success/failure, and retry
decisions with attempt counts in `InstanceHealthReconciler`.
- **GET `/meta_instances` endpoint** — lists all meta-instances without
needing to fetch full state.
- **2 regression tests** — `test_cascade_delete_cancels_active_tasks`
and `test_cascade_delete_skips_completed_tasks` verify the
cascade-delete event sequence.

## Why It Works

Putting `meta_instance_id` on `BaseInstance` makes binding inherent to
instance creation. When the reconciler creates an instance for a
MetaInstance, it tags it via `model_copy`. When the instance is deleted,
the binding disappears with it. This avoids the two bugs that a separate
binding mechanism would introduce:
1. Stale exclusion sets — the reconciler loop can't accidentally bind
two MetaInstances to the same instance
2. Delete ordering race — no window between deleting an instance and its
binding where the reconciler could re-place

## Test Plan

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
- Created MetaInstance via dashboard, verified instance placed
- Verified delete cascades (deleting MetaInstance removes backing
instance)
- Verified orphan instances still work independently

### Automated Testing
- 30 tests in `test_meta_instance_edge_cases.py`: lifecycle, retry
logic, error handling, concurrent operations, cascade delete with task
cancellation
- 24 tests in `test_reconcile.py`: constraint matching, connection
health (single/multi-node, edge removal, IP changes), unsatisfied
detection, exclusive binding, idempotency
- All 261 tests pass
- basedpyright 0 errors, ruff clean, dashboard builds

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 09:48:19 -08:00
Alex Cheema db79c350c1 Fix graceful process shutdown in macOS app (#1372)
## Motivation

Fixes #1370

When the macOS app stops exo, GPU/system memory isn't released. This
happens because:

1. The macOS app calls `process.terminate()` (SIGTERM) but the Python
process only registers a graceful shutdown handler for SIGINT, not
SIGTERM. SIGTERM's default Python behavior raises `SystemExit` which
bypasses the cleanup cascade (runner subprocess MLX cleanup via
`mx.clear_cache()`, channel closing, etc.).
2. The app doesn't wait for the process to actually finish cleanup — it
immediately nils out the process reference.

## Changes

**`src/exo/main.py`**: Register SIGTERM handler alongside SIGINT so the
graceful shutdown cascade (`Node.shutdown()` → cancel task group →
worker/runner cleanup → `mx.clear_cache()` + `gc.collect()`) runs
regardless of which signal is received.

**`app/EXO/EXO/ExoProcessController.swift`**: Replace immediate
`process.terminate()` with escalating shutdown per @Evanev7's
suggestion:
1. Send SIGINT via `process.interrupt()` — triggers the registered
Python handler for graceful cleanup
2. Wait up to 5 seconds for the process to exit
3. If still running, escalate to SIGTERM via `process.terminate()`
4. Wait up to 3 seconds
5. If still running, force kill via SIGKILL

The escalation runs in a detached `Task` so the UI updates immediately
(status → stopped) without blocking.

## Why It Works

The root cause is that SIGTERM wasn't triggering the graceful shutdown
path. By registering a SIGTERM handler in Python and sending SIGINT
first from the macOS app, the process gets a chance to run the full
cleanup cascade: cancelling the task group, shutting down runners (which
call `del model; mx.clear_cache(); gc.collect()`), closing channels, and
flushing logs. The escalation to SIGTERM and SIGKILL ensures the process
always terminates even if graceful shutdown hangs.

## Test Plan

### Manual Testing
<!-- Hardware: Mac Studio M4 Max 128GB -->
- Start exo via macOS app, load a model, run inference
- Stop via the toggle switch, verify memory is released without
requiring a system restart
- Test rapid stop/start (restart) to ensure no race conditions

### Automated Testing
- `uv run basedpyright` — 0 errors
- `uv run ruff check` — passes
- `nix fmt` — no changes

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: Evan Quiney <evanev7@gmail.com>
2026-02-17 09:03:54 -08:00
Alex Cheema d6301ed593 dashboard: redesign downloads page as model×node table (#1465)
## Motivation

The current downloads page uses a node-centric card grid layout that is
messy and hard to read — the same model across different nodes appears
in separate cards, and deep nesting wastes space. This makes it
difficult to quickly see which models are on which nodes.

## Changes

Rewrote the downloads page
(`dashboard/src/routes/downloads/+page.svelte`) from a card grid to a
clean table layout:

- **Rows** = models (unique across all nodes)
- **Columns** = nodes (with disk free shown in header)
- **Cells** show status at a glance:
  -  Green checkmark + size for completed downloads
  - 🟡 Yellow percentage + mini progress bar + speed for active downloads
  - `...` for pending downloads
  -  Red X for failed downloads
  - `--` for models not present on a node
- Delete/download action buttons appear on row hover
- Model name column is sticky on horizontal scroll (for many-node
clusters)
- Models sorted by number of nodes with completed downloads
- Imported shared utilities from `$lib/utils/downloads` instead of
inline re-implementations

### Backend: model directory in download events

- Added `model_directory` field to `BaseDownloadProgress` so all
download status events include the on-disk path
- Added `_model_dir()` helper to `DownloadCoordinator` to compute the
path from `EXO_MODELS_DIR`
- Dashboard uses this to show file location and enable "open in Finder"
for completed downloads

### Info modal

- Clicking a model name opens an info modal showing card details
(family, quantization, capabilities, storage size, layer count, tensor
parallelism support)

### Other fixes

- Fixed model name truncation in the table
- Excluded `tests/start_distributed_test.py` from pytest collection (CLI
script that calls `sys.exit()` at import time)

## Test Plan

- [x] `uv run basedpyright` — 0 errors
- [x] `uv run ruff check` — all passed
- [x] `nix fmt` — clean
- [x] `uv run pytest` — 188 passed, 1 skipped

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 14:31:47 +00:00
Evan Quiney 6d1ca6689b don't time out node identities (#1493)
currently nodes leaving and rejoining the cluster can lose their identity. We have no need to delete this data on node timing out, so let's just persist it.
2026-02-17 11:48:28 +00:00
Evan c01b6fff21 eprint banner
our banner was being printed to stdout but should be printed to stderr
as its essentially a log message
2026-02-17 11:43:06 +00:00
Jake Hillion 8392e78afe bench: add spec for automatic canary benchmarks (#1483)
Adds all the models that can fit onto a single M3 Ultra for single
machine benchmarks. Fixes the macOS version, GPU spec, and chip type for
maximum reproducibility. Specifies the minimum memory accordingly for
each type of model, using the smallest machine available (the smallest
M3 Ultra is 96GiB).

Test plan:
- Running this with some code that makes machines of this spec available
and stores the results. It works.

This will become part of a larger testing/stability strategy once we've
collected more of the data.
2026-02-17 10:52:05 +00:00
Evan 86735ece78 begins
begins
2026-02-16 19:26:19 +00:00
Evan Quiney 2759e92334 api cancellation (#1276)
closing the http request to the api now
- sends a cancellation from the api
- writes that canellation in the master
- worker plans off the cancellation
- runner observes that cancellation after every generation step (+1
communication per token)
- cancellation happens synchronously to prevent gpu locks

closes #61

---------

Co-authored-by: Alex Cheema <alexcheema123@gmail.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 05:30:07 -08:00
Jake Hillion 131fb141a6 bench: add --danger-delete-downloads flag with planning phase
exo bench previously relied on the worker's plan loop to download
models, which could fail silently or run into disk space issues during
benchmarking. This made it difficult to diagnose download failures.

Added a planning phase that runs before benchmarking to explicitly
handle downloads. It checks available disk space on each node via the
/state endpoint and starts downloads via POST /download/start. When
the --danger-delete-downloads flag is set and there's insufficient
space, it deletes existing models from smallest to largest until
there's room for the benchmark model.

Test plan:
- CI

```
jake@maverick:/data/users/jake/repos/exo/ > nix run .#exo-bench -- --pp 128,2048,4096 --tg 128 --stdout --settle-timeout 10 --host s1 --model mlx-community/gpt-oss-120b-MXFP4-Q8
PyTorch was not found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
2026-02-16 12:12:11.807 | INFO     | __main__:main:710 - pp/tg mode: combinations (product) - 3 pairs
Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
2026-02-16 12:12:13.455 | DEBUG    | __main__:main:725 - [exo-bench] loaded tokenizer: mlx-community/gpt-oss-120b-MXFP4-Q8 for prompt sizer
2026-02-16 12:12:13.473 | DEBUG    | __main__:main:761 - exo-bench model: short_id=gpt-oss-120b-MXFP4-Q8 full_id=mlx-community/gpt-oss-120b-MXFP4-Q8
2026-02-16 12:12:13.473 | INFO     | __main__:main:762 - placements: 1
2026-02-16 12:12:13.474 | INFO     | __main__:main:764 -   - Pipeline / MlxRing / nodes=1
2026-02-16 12:12:13.474 | INFO     | __main__:main:771 - Planning phase: checking downloads...
Traceback (most recent call last):
  File "/nix/store/q31kmbcfr5bf97290bvbnhrvpc3fv824-source/bench/exo_bench.py", line 885, in <module>
    raise SystemExit(main())
                     ~~~~^^
  File "/nix/store/q31kmbcfr5bf97290bvbnhrvpc3fv824-source/bench/exo_bench.py", line 772, in main
    run_planning_phase(
    ~~~~~~~~~~~~~~~~~~^
        client,
        ^^^^^^^
    ...<4 lines>...
        settle_deadline,
        ^^^^^^^^^^^^^^^^
    )
    ^
  File "/nix/store/q31kmbcfr5bf97290bvbnhrvpc3fv824-source/bench/exo_bench.py", line 367, in run_planning_phase
    raise RuntimeError(
    ...<2 lines>...
    )
RuntimeError: Insufficient disk on 12D3KooWE2C7dzC9d9YJMEfWK3g8og7JdZj3HHXZ8VmGrXYAEnEj: need 65GB, have 55GB. Use --danger-delete-downloads to free space.
jake@maverick:/data/users/jake/repos/exo/ > nix run .#exo-bench -- --pp 128,2048,4096 --tg 128 --stdout --settle-timeout 10 --host s1 --model mlx-community/gpt-oss-120b-MXFP4-Q8 --danger-delete-downloads
PyTorch was not found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
2026-02-16 12:12:19.626 | INFO     | __main__:main:710 - pp/tg mode: combinations (product) - 3 pairs
2026-02-16 12:12:21.262 | DEBUG    | __main__:main:725 - [exo-bench] loaded tokenizer: mlx-community/gpt-oss-120b-MXFP4-Q8 for prompt sizer
2026-02-16 12:12:21.280 | DEBUG    | __main__:main:761 - exo-bench model: short_id=gpt-oss-120b-MXFP4-Q8 full_id=mlx-community/gpt-oss-120b-MXFP4-Q8
2026-02-16 12:12:21.280 | INFO     | __main__:main:762 - placements: 1
2026-02-16 12:12:21.280 | INFO     | __main__:main:764 -   - Pipeline / MlxRing / nodes=1
2026-02-16 12:12:21.280 | INFO     | __main__:main:771 - Planning phase: checking downloads...
2026-02-16 12:12:21.336 | INFO     | __main__:run_planning_phase:386 - Deleting mlx-community/Qwen3-0.6B-4bit from 12D3KooWE2C7dzC9d9YJMEfWK3g8og7JdZj3HHXZ8VmGrXYAEnEj (335MB)
2026-02-16 12:12:21.350 | INFO     | __main__:run_planning_phase:386 - Deleting mlx-community/Llama-3.2-1B-Instruct-4bit from 12D3KooWE2C7dzC9d9YJMEfWK3g8og7JdZj3HHXZ8VmGrXYAEnEj (679MB)
2026-02-16 12:12:21.363 | INFO     | __main__:run_planning_phase:386 - Deleting mlx-community/Llama-3.2-3B-Instruct-4bit from 12D3KooWE2C7dzC9d9YJMEfWK3g8og7JdZj3HHXZ8VmGrXYAEnEj (1740MB)
2026-02-16 12:12:21.373 | INFO     | __main__:run_planning_phase:386 - Deleting mlx-community/Llama-3.2-3B-Instruct-8bit from 12D3KooWE2C7dzC9d9YJMEfWK3g8og7JdZj3HHXZ8VmGrXYAEnEj (3264MB)
2026-02-16 12:12:21.384 | INFO     | __main__:run_planning_phase:386 - Deleting mlx-community/GLM-4.7-Flash-8bit from 12D3KooWE2C7dzC9d9YJMEfWK3g8og7JdZj3HHXZ8VmGrXYAEnEj (30366MB)
2026-02-16 12:12:21.413 | INFO     | __main__:run_planning_phase:407 - Started download on 12D3KooWE2C7dzC9d9YJMEfWK3g8og7JdZj3HHXZ8VmGrXYAEnEj
```

It's not pretty but it works!
2026-02-16 13:06:38 +00:00
Evan Quiney 2d8bfc2e3c fix: PlaceInstanceParams broken field validator
our field validator for PlaceInstance was wrong - we can just rely on default behaviour here anyway!
2026-02-16 03:58:43 -08:00
ciaranbor 042999f728 Ciaran/message deletion (#1409)
## Motivation

When a user deletes a message during an active streamed generation, it
can cause unexpected behavior. The delete confirmation text was also
misleading — it said "all responses after it" only for user messages,
which didn't accurately describe the behavior (all messages after the
deleted one are removed, regardless of role)

## Changes

- Prevent deletion during streaming: Disabled the delete button and
blocked handleDeleteClick when loading is true, with a visual indication
(dimmed button, cursor-not-allowed, tooltip change)
- Clarified delete confirmation text: Replaced role-specific wording
with a simpler, accurate message:
    - Last message: "Delete this message?"
- Any other message: "Delete this message and all messages after it?"

## Why It Works

Guarding on the loading state at both the click handler and the button's
disabled attribute ensures no deletion can be triggered while a response
is being streamed

## Test Plan

### Manual Testing

- Verify the delete button is visually disabled and non-clickable while
a response is streaming
- Verify the tooltip shows "Cannot delete while generating" during
streaming
  - Verify the last message shows "Delete this message?" confirmation
- Verify non-last messages show "Delete this message and all messages
after it?" confirmation
  - Verify deletion works normally when not streaming
2026-02-16 11:46:41 +00:00
ciaranbor b61dc2eb35 Prevent image editing without image input (#1410)
## Motivation

Models that only support image editing (ImageToImage but not
TextToImage) would silently attempt text-to-image generation when a user
submitted a text prompt without an attached image

## Changes

- Added an early return guard in handleSubmit() that prevents submission
when the selected model only supports image editing and no image is
attached (isEditOnlyWithoutImage)
- Fixed the text-to-image generation branch to use the more specific
modelSupportsTextToImage() check instead of the broad isImageModel(),
ensuring only models with TextToImage capability trigger generation from
text alone
- The existing isEditOnlyWithoutImage derived state (which was already
used for UI hints like placeholder text and button disabling) now also
blocks the actual submit path

## Why It Works

The text-to-image fallback now correctly checks
modelSupportsTextToImage() directly, so edit-only models no longer fall
through to the generation path


## Test Plan

### Manual Testing

- Select an edit-only image model (e.g., one with only ImageToImage
capability)
- Verify the send button is disabled and placeholder reads "Attach an
image to edit..." when no image is attached
  - Attach an image and verify the form becomes submittable
- Select a text-to-image model and verify text-only prompts still
trigger generation normally
  - Ensure pressing `enter` doesn't bypass check
2026-02-16 11:39:59 +00:00
rltakashige 36a7115b6f Pass usage and generation stats through all adapters correctly (#1461)
## Motivation

Exo is not returning usage stats correctly at the moment.

## Changes

- Correctly pass usage stats instead of generation stats.
- Pass usage stats within tool calls.

## Test Plan

### Manual Testing
Needs manual testing.

### Automated Testing
Passes CI.
2026-02-16 11:20:04 +00:00
Jake Hillion 0b7d88b43b python: add hermetic basedpyright typecheck to nix flake check
The existing CI typecheck job used `uv run basedpyright` which depends
on a non-hermetic uv sync step. This replaces it with a fully hermetic
typecheck as a Nix flake check using the uv2nix virtual environment.

Added a `typecheckVenv` with dev dependencies, a `linuxOverlay` to
ignore native shared library deps (NVIDIA, torch, triton, mlx) that
aren't needed at type-check time, and `passthru` preservation plus
`.pyi` stub copying on the `exo-pyo3-bindings` overlay so basedpyright
can resolve the Rust bindings types. Also guarded the `mlx` Nix build
override to macOS only since it requires Metal. Removed the old
non-hermetic `typecheck` CI job since `nix flake check` now covers it.

The hermetic check ensures type checking uses exactly the locked
dependency versions and catches type errors without requiring a
working uv/pip environment.

Test plan:
- CI (`nix flake check` runs on x86_64-linux, aarch64-linux, aarch64-darwin)
- Verified `nix build ".#checks.x86_64-linux.typecheck"` passes with 0 errors
2026-02-16 11:09:23 +00:00
Alex Cheema 1c3cc699d4 fix: add missing getModelFitStatus prop to Recent tab (#1470)
## Summary
- Clicking the **Recent** tab in the Model Picker crashed with
`TypeError: e.getModelFitStatus is not a function`
- The `ModelPickerGroup` component in the Recent tab section was missing
the `{getModelFitStatus}` prop, while all other tabs (e.g., the main
model list) passed it correctly
- Added the missing `{getModelFitStatus}` prop so the Recent tab renders
without errors, matching the behavior of the other tabs

## Test plan
- [ ] Open the dashboard and click **SELECT MODEL**
- [ ] Switch to the **Recent** tab — verify it renders without crashing
- [ ] Confirm model fit status indicators display correctly on recent
models
- [ ] Verify the other tabs (All, Favorites) still work as before

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-13 16:37:32 +00:00
rltakashige 5a28642790 Add support for Step 3.5 flash! (#1460)
## Motivation

Working version of #1366 

## Changes

Add Step 3.5 Flash

## Test Plan

### Manual Testing
Works!

### Automated Testing
Running two processes tensor/pipeline sharded gives same logits as
single process.
2026-02-13 12:10:18 +00:00
Alex Cheema 6950f94109 dashboard: show macOS version in debug mode (#1454)
## Motivation

When debugging cluster issues, it's useful to see which macOS version
each node is running — especially since version mismatches can cause
compatibility problems. The OS version data is already collected by the
identity gatherer but wasn't shown in the topology graph.

## Changes

- Added OS version label (e.g. "macOS 15.2") to each node in the
topology graph when debug mode is enabled
- Renders below the existing TB and RDMA debug labels using the same
styling conventions
- Sources data from the existing `nodeIdentities` store (no backend
changes needed)

## Why It Works

The `nodeIdentities` store already contains `osVersion` for each node.
We simply read it in the `TopologyGraph` component and append a text
label in the debug section, following the exact same pattern as the TB
and RDMA labels.

## Test Plan

### Manual Testing
<!-- Hardware: MacBook Pro -->
- Enable debug mode in the dashboard
- Verify OS version label appears below TB/RDMA labels on each node
- Verify label disappears when debug mode is disabled

### Automated Testing
- Dashboard build passes (`npm run build`)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
Co-authored-by: Ryuichi Leo Takashige <leo@exolabs.net>
2026-02-12 17:56:55 +00:00
Alex Cheema d0c44273db feat: add enable_thinking toggle for thinking-capable models (#1457)
## Motivation

Fixes #1456. Models like DeepSeek V3.2, Qwen3, and GLM-4.7 always run in
thinking mode because their chat templates auto-inject `<think>`. Users
need a way to disable thinking for models that support both modes.

## Changes

**API**: Added `enable_thinking: bool | None` to `ChatCompletionRequest`
and `TextGenerationTaskParams`. Passed through the adapter to
`tokenizer.apply_chat_template()` as a kwarg (only when explicitly set,
so models without the template variable are unaffected).

**Dashboard**: Added a thinking toggle button in the chat input area.
Visible only when the selected model has both "text" and "thinking"
capabilities.

## Why It Works

Most thinking model chat templates (DeepSeek, Qwen3, GLM) accept
`enable_thinking` as a Jinja template variable. Passing
`enable_thinking=False` prevents the template from injecting `<think>`,
matching the vLLM convention.

## Test Plan

### Manual Testing
- `curl` with `"enable_thinking": false` against a thinking model — no
`<think>` in output
- Dashboard toggle visible for thinking models, hidden for text-only
models

### Automated Testing
- basedpyright: 0 errors
- ruff: clean
- pytest: 188 passed
- dashboard build: success

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-12 17:35:24 +00:00
Jake Hillion cc33213842 bench: add --settle-timeout for cluster startup retry (#1449)
exo_bench.py fails if started too soon after a cluster starts because
the topology hasn't populated yet, resulting in no valid placements.

Extracted the preview-fetch-and-filter logic into a
`fetch_and_filter_placements` helper and added a retry loop with
exponential backoff (1s initial, 2x multiplier, 60s cap). The new
`--settle-timeout` flag controls how long to retry (default 0 = try
once, preserving existing behaviour). Each retry logs a warning
explaining the cluster may still be settling.

Test plan:
- Tested on several freshly started clusters. This used to fail a lot,
  now it succeeds.
2026-02-12 16:38:09 +00:00
Alex Cheema 62e8110e97 fix: prevent DownloadModel TaskCreated event flood (#1452)
## Motivation

When a model download fails repeatedly (e.g. `ContentLengthError` on a
large model like `zai-org/GLM-5`), the download coordinator accumulates
duplicate progress callbacks — one per retry cycle. Each callback
independently throttles at 1 event/sec, so after N retries, every
download progress tick generates N events instead of 1. After an hour of
failures (~60 retry cycles), this produces ~60 `NodeDownloadProgress`
events/sec, overwhelming the master, delaying heartbeats, and causing
the node to time itself out.

### The callback accumulation cycle
1. `_start_download_task()` calls
`shard_downloader.on_progress(callback)` which **appends** to a list
2. Download fails → `DownloadFailed` status set, but old callback stays
in the list
3. 60s later: `_emit_existing_download_progress()` scans disk → resets
status to `DownloadPending`
4. Worker sends new `StartDownload` → coordinator accepts (guard didn't
check `DownloadFailed`)
5. `_start_download_task()` appends **another** callback
6. Each callback has its own throttle → N callbacks = N events per
progress tick

## Changes

### Commit 1: `src/exo/worker/main.py`
Move the `DownloadModel` backoff check **before** `TaskCreated` emission
in `plan_step()`. Previously `TaskCreated` was emitted unconditionally
every 0.1s even when backoff blocked the download command.

### Commit 2: `src/exo/download/coordinator.py`
1. **Register progress callback once** in `__post_init__` instead of
per-download in `_start_download_task()`. Uses a per-model throttle dict
instead of per-callback closure variables.
2. **Add `DownloadFailed` to the `_start_download()` guard** so
redundant `_start_download_task()` calls don't happen. Retries still
work because `_emit_existing_download_progress` resets `DownloadFailed`
→ `DownloadPending` by scanning disk every 60s.

## Why It Works

The root cause was callbacks accumulating in
`ResumableShardDownloader.on_progress_callbacks` (a list that only
appends, never clears). By registering one callback per coordinator
lifetime and guarding against re-entry on `DownloadFailed`, we ensure
exactly one progress event per model per progress tick regardless of how
many retry cycles have occurred.

## Test Plan

### Manual Testing
- Verified the download retry flow: failed download → 60s scan resets
status → new `StartDownload` accepted → download retries with single
callback

### Automated Testing
- `uv run basedpyright` — 0 errors
- `uv run ruff check` — passes
- `uv run pytest` — 188 passed

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-11 23:50:43 +00:00
Alex Cheema 98773437f3 Make info gatherer monitors resilient with retry loops and timeouts (#1448)
## Motivation

Info gatherer monitors could silently stop posting events, causing stale
node state after rejoins. The macmon monitor was especially fragile — it
had no retry loop, so a crash or parse error would kill it permanently.
Worse, the unhandled exception would propagate to the TaskGroup and take
down *all* sibling monitors. Additionally, none of the monitors had
timeouts on their subprocess calls, so a hung `system_profiler` or
`networksetup` could stall a monitor indefinitely.

## Changes

- Wrap `_monitor_macmon` in a `while True` retry loop with `except
Exception`, matching the pattern used by all other monitors
- Add `fail_after` timeouts to all monitor loop bodies:
- 10s for lightweight commands (`_monitor_misc`, `_watch_system_info`,
`_gather_iface_map` init)
- 30s for heavier commands (`_monitor_system_profiler_thunderbolt_data`,
`_monitor_thunderbolt_bridge_status`)
- Remove unused `CalledProcessError` and `cast` imports

## Why It Works

All monitors now follow the same resilient pattern: `while True` → `try`
with `fail_after` → `except Exception` (logs warning) → `sleep`. If a
subprocess hangs, the timeout fires and `TimeoutError` is caught by the
existing `except Exception` handler. If macmon crashes, it restarts
after the interval instead of dying permanently. No single monitor
failure can cascade to kill the others.

## Test Plan

### Manual Testing
<!-- Hardware: macOS with macmon installed -->
<!-- What you did: -->
- Run exo, kill macmon process (`kill $(pgrep macmon)`), verify it
restarts and metrics resume
- Verify all monitors continue posting events after simulated hangs

### Automated Testing
- All 188 existing tests pass
- basedpyright: 0 errors
- ruff: all checks passed

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-11 23:07:36 +00:00
Jake Hillion a8acb3cafb dashboard: show available disk space on downloads page
The downloads page previously only showed the approximate space used by
downloaded models (summed from completed download sizes), but did not
show how much disk space was actually available. This made it difficult
to know if a download would succeed before pressing the button.

Added disk space tracking to the InfoGatherer that polls the models
directory partition every 30 seconds. The DiskUsage type captures total
and available space, which flows through the event system to State and
is exposed via the /state API. The dashboard now displays "X on disk /
Y available" for each node in the downloads view.

Test plan:
- CI
2026-02-11 21:57:28 +00:00
Alex Cheema a0721dbe57 feat: warn when cluster nodes have mismatched macOS versions (#1436)
## Motivation

When nodes in an exo cluster run different macOS versions, inference can
produce incompatible results or fail silently. Users currently have no
way to know this from the dashboard.

## Changes

- Added `get_os_version()` to `system_info.py` that returns the macOS
version (e.g. `"15.3"`) or platform name for non-Mac nodes
- Added `os_version` field to `NodeIdentity` and
`StaticNodeInformation`, gathered once at startup
- Propagated `os_version` through the event sourcing pipeline
(`apply.py`)
- Exposed `nodeIdentities` from the dashboard store with `osVersion`
- Added a derived `macosVersionMismatch` check in `+page.svelte` that
triggers when 2+ macOS nodes report different versions
- Rendered a yellow "INCOMPATIBLE macOS VERSIONS" warning badge
(matching the existing Thunderbolt Bridge cycle warning style) with a
hover tooltip listing each node's name and version, in all three
topology view sizes (large, medium, compact)

## Why It Works

The OS version is a static property gathered once at node startup via
`platform.mac_ver()`. It flows through the existing
`StaticNodeInformation` → `NodeGatheredInfo` event → `NodeIdentity`
state pipeline, so no new event types or state fields beyond
`os_version` on `NodeIdentity` are needed. The dashboard derives the
mismatch by comparing `osVersion` across all nodes whose version looks
like a macOS version string (starts with a digit).

## Test Plan

### Manual Testing
Hardware: 4x Mac Studio M2 Ultra 512GB (s18, s17 (2), james, mike),
connected via Thunderbolt
- s18 and s17 (2) on macOS 26.2, james and mike on macOS 26.3
- Verified the "INCOMPATIBLE macOS VERSIONS" warning badge appears in
the topology view
- Verified the hover tooltip lists all four nodes with their respective
versions
- Screenshots attached in comment below

### Automated Testing
- basedpyright: 0 errors
- ruff check: all checks passed
- nix fmt: no formatting changes needed
- Dashboard builds successfully

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-11 21:18:59 +00:00
Alex Cheema 50e2bcf93e fix: RDMA debug labels, TB5 info box, and rdma_ctl status detection (#1437)
## Motivation

Several RDMA/Thunderbolt UX issues in the dashboard and macOS app:

1. **Debug mode showed "? ?" for RDMA connections** — the topology view
only extracted IPs from socket connections, not RDMA interface names
2. **No way to detect if RDMA is actually enabled** — the system only
knew about TB5 hardware and RDMA topology edges, not whether `rdma_ctl`
was enabled on each node
3. **False "RDMA AVAILABLE" info box** — showed on Mac Minis with idle
TB5 ports even when RDMA was already enabled, and on single nodes with
TB5
4. **macOS app only showed local RDMA status** — ran `rdma_ctl` locally
with no visibility into other nodes in the cluster

## Changes

### Dashboard: Fix RDMA debug labels (`0abc90c4`)
- Added `sourceRdmaIface` and `sinkRdmaIface` to `TopologyEdge`
interface
- Updated `TopologyGraph.svelte` and `ModelCard.svelte` to show `RDMA
en2 → en3` instead of `? ?`

### Dashboard: TB5 RDMA info box (`a3795552`, `8ce8e173`)
- Added dismissible info box when 2+ nodes have TB5 hardware but RDMA is
disabled
- Includes setup instructions (Recovery mode → `rdma_ctl enable` →
reboot, TB5 cables, macOS version match)
- Requires 2+ exo nodes with TB5 to avoid false positives from
single-node setups

### Backend: `rdma_ctl status` detection (`ae07239b`)
- Added `RdmaCtlStatus` event to `info_gatherer.py` — runs `rdma_ctl
status` with 5s timeout, `shutil.which` guard, and `OSError` handling
(polls every 10s on macOS)
- Added `NodeRdmaCtlStatus` model to `profiling.py` and `node_rdma_ctl`
field to `State`
- Handle in `apply.py` (event apply + node timeout cleanup)
- Exposed `nodeRdmaCtl` in dashboard store (`app.svelte.ts`)
- Info box detection now uses actual RDMA status instead of TB5 link
speeds

### Dashboard: Per-node RDMA debug labels (`ae07239b`)
- Debug mode shows `RDMA:ON` (green) or `RDMA:OFF` (dim) per node in
topology view, below the TB bridge label

### macOS app: Cluster-wide RDMA status from `/state` (`a1455b61`,
`d0d77b63`)
- Added `NodeRdmaCtlStatus` to `ClusterState.swift` — decoded from
`/state` endpoint
- Replaced local-only `rdma_ctl status` check with cluster-wide
`nodeRdmaCtl` from state
- Debug section shows per-node RDMA enabled/disabled for all nodes in
the cluster
- Still shows local `ibv_devices` and `ibv_devinfo` details (device
names, active ports) for richer local debugging

## Files changed

| Area | File | Change |
|------|------|--------|
| Backend | `src/exo/utils/info_gatherer/info_gatherer.py` |
`RdmaCtlStatus` event, monitor task |
| Backend | `src/exo/shared/types/profiling.py` | `NodeRdmaCtlStatus`
model |
| Backend | `src/exo/shared/types/state.py` | `node_rdma_ctl` field |
| Backend | `src/exo/shared/apply.py` | Event handler + timeout cleanup
|
| Dashboard | `dashboard/src/lib/stores/app.svelte.ts` | `nodeRdmaCtl` +
`nodeThunderbolt` in store |
| Dashboard | `dashboard/src/routes/+page.svelte` | Info box with RDMA
detection + instructions |
| Dashboard | `dashboard/src/lib/components/TopologyGraph.svelte` | RDMA
debug labels per node + fix "? ?" |
| Dashboard | `dashboard/src/lib/components/ModelCard.svelte` | RDMA
interface display fix |
| App | `app/EXO/EXO/Models/ClusterState.swift` | `NodeRdmaCtlStatus`
struct + decode |
| App | `app/EXO/EXO/ContentView.swift` | Cluster-wide RDMA view + local
device details |
| App | `app/EXO/EXO/Services/NetworkStatusService.swift` | Remove local
`rdma_ctl`, keep `ibv_*` |

## Test Plan

- [x] `uv run basedpyright` — 0 errors
- [x] `uv run ruff check` — pass
- [x] `nix fmt` — clean
- [x] `cd dashboard && npm run build` — success
- [x] `uv run pytest` — 188 passed
- [x] Xcode build — compiles (only pre-existing `dist/exo` resource
error)
- [x] Deployed to Mac Minis — `nodeRdmaCtl` shows `enabled: true`, no
false info box
- [x] Deployed to James cluster — RDMA debug labels show correctly

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-11 20:43:11 +00:00
Alex Cheema 7bed91c9c2 feat: add Recent tab to model picker (#1440)
## Motivation

When frequently switching between models, it's tedious to search through
the full model list to find ones you've used before. A "Recent" tab
provides quick access to previously launched models.

## Changes

- **New store** (`dashboard/src/lib/stores/recents.svelte.ts`):
`RecentsStore` class persisting recently launched model IDs with
timestamps to localStorage (key: `exo-recent-models`). Caps at 20
entries, deduplicates on re-launch (moves to top).
- **FamilySidebar**: Added "Recent" tab between Favorites and Hub,
conditionally shown when there are recent models.
- **FamilyLogos**: Added clock/history icon for the recents tab.
- **ModelPickerModal**: Added `recentModelIds`/`hasRecents` props.
Derives single-variant `ModelGroup[]` from recent IDs and renders them
using the same `ModelPickerGroup` component as all other tabs —
consistent styling, memory grey-out, favorites, info button, download
indicators.
- **+page.svelte**: Calls `recordRecentLaunch(modelId)` after successful
instance launch. Passes reactive recent state to the modal.

## Why It Works

Follows the exact same pattern as the existing Favorites feature
(localStorage persistence, conditional tab display, reactive Svelte 5
`$state`/`$derived`). Recent models are wrapped as single-variant
`ModelGroup` objects so they reuse `ModelPickerGroup` for identical row
rendering across all tabs.

## Test Plan

### Manual Testing
<!-- Hardware: MacBook Pro -->
- Launch a model instance → reopen model picker → "Recent" tab appears
with the launched model
- Launch a second model → it appears at top of the Recent list
- Re-launch the first model → it moves back to top
- Search within the Recent tab filters the list
- Models that don't fit in memory are greyed out (same as All tab)
- Close/reopen browser → recents persist from localStorage

### Automated Testing
- Dashboard builds successfully (`npm run build`)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-11 12:34:08 -08:00
Hunter Bown 48caea4a23 feat: add intermediate model-fit state for cluster-capacity-only models (#1441)
## Motivation
In the model picker, non-runnable models were not clearly separated
between two different cases:

- model exceeds currently available RAM but can fit in total cluster
capacity
- model exceeds total cluster capacity

That made it harder to distinguish "not runnable right now" from "too
large for this cluster."

## Changes
- Added a tri-state fit status in dashboard model-picker flow:
  - `fits_now`
  - `fits_cluster_capacity`
  - `too_large`
- Updated dashboard logic to compute both available cluster RAM and
total cluster RAM.
- Passed fit status through picker components.
- Updated model size color mapping:
  - `fits_now` -> white/gray
  - `fits_cluster_capacity` -> orange
  - `too_large` -> red
- Updated group ordering for non-runnable models:
- orange groups (`fits_cluster_capacity`) are listed above red groups
(`too_large`).

## Why It Works
Launch safety is unchanged: selection is still gated by existing
placement feasibility (`canModelFit`), so models that cannot run now
remain disabled.

The new fit status is used for visual distinction and ordering only:
- runnable now
- fits cluster capacity but not free RAM now
- too large for cluster capacity

## Before
Non-runnable models were not clearly distinguished by temporary capacity
vs hard capacity limit.

## After
Model picker clearly separates states by both color and order:
- Runnable now (white/gray)
- Fits cluster capacity but not free RAM now (orange, disabled)
- Exceeds cluster capacity (red, disabled)

## Test Plan
### Manual testing
- Open model picker with live cluster memory telemetry.
- Verify white/gray models are selectable.
- Verify orange models are disabled and appear above red models.
- Verify red models are disabled and appear below orange models.

### Automated checks
- `npm --prefix dashboard run build` passes.
- `uv run basedpyright` passes.
- `uv run ruff check` passes.
- `npm --prefix dashboard run check` reports existing pre-change Svelte
diagnostics (same known SVG title/a11y items).
- `uv run pytest` in this local environment exits during collection due
existing `tests/start_distributed_test.py` `SystemExit` usage.
- No Python code was changed.

---------

Co-authored-by: Alex Cheema <41707476+AlexCheema@users.noreply.github.com>
2026-02-11 00:21:35 +00:00
Mustafa Alp Yılmaz eead50b4cd Fix setrlimit crash when hard file descriptor limit < 65535 (#1430)
## Summary

`exo` crashes on startup when the system's hard file descriptor limit is
below 65535, which occurs in macOS LaunchDaemon environments, Docker
containers, and other restricted setups.

**Root cause:** `resource.setrlimit(resource.RLIMIT_NOFILE, (max(soft,
65535), hard))` raises `ValueError` when `hard < 65535` because the soft
limit cannot exceed the hard limit.

**Fix:**
- **`main.py`**: Clamp the target soft limit to `min(max(soft, 65535),
hard)` so it never exceeds the hard limit
- **`utils_mlx.py`**: Query current limits instead of hardcoding `(2048,
4096)`, which both crashed on restricted systems and incorrectly lowered
the hard limit when it was set higher

## Test plan

- [x] `basedpyright` passes with 0 errors
- [x] `ruff check` passes
- [x] Verify startup works on system with hard limit < 65535 (tested in
macOS LaunchDaemon with hard limit 10240)
- [x] Verify startup still works on default macOS (hard limit typically
unlimited)
2026-02-10 22:46:22 +00:00
Jake Hillion 199df64cfc util: remove VecExt trait, inline at call site (#1446)
VecExt added a .map() convenience method on Vec<T> that simply called
.into_iter().map(f).collect(). This thin wrapper provided no
optimisation benefit and obscured a standard iterator pattern behind a
nightly feature gate and an extra dependency.

Replaced the single call site in exo_pyo3_bindings with the equivalent
iterator chain and removed the ext module, the extend dependency, and
the trait_alias feature gate from the util crate.

Test plan:
- CI
2026-02-10 20:45:57 +00:00
Ryuichi Leo Takashige dc7ade8052 set the mlx hash 2026-02-10 20:16:17 +00:00
Ryuichi Leo Takashige dc781497c5 update mlx to 0.30.6 2026-02-10 20:16:17 +00:00
Jake Hillion c37eb24331 util: remove dead code (#1445)
The util crate contained several unused items: NonemptyArray,
BoxedSliceExt, a blanket Sealed trait, an empty alias module, six unused
nightly feature gates, and five unused Cargo dependencies (thiserror,
once_cell, internment, derive_more, bon, recursion).

Removed all items that had no references outside their own definitions,
keeping only WakerDeque, VecExt, and the trait_alias feature gate which
are actively used by the networking and exo_pyo3_bindings crates.

Test plan:
- CI
2026-02-10 20:10:54 +00:00
Jake Hillion 8af2af6328 nix: override apple-sdk to 26.2 and enable MLX_BUILD_CPU (#1443)
The pinned nixpkgs provides apple-sdk 26.0, but building MLX requires
SDK 26.2. The upstream package reads versions.json via a relative path
at eval time, so it can't be overridden through callPackage args.

Added a thin overlay that copies the upstream apple-sdk source and
patches only metadata/versions.json to point at SDK 26.2. Also enabled
MLX_BUILD_CPU in the MLX nix build.

This avoids vendoring the entire apple-sdk package (~2200 lines) while
still getting the SDK version we need.

Test plan:
- CI
- Built and ran on two machines connected with Thunderbolt 5 - Kimi K2.5
starts in Tensor+RDMA and seems sensible.
2026-02-10 19:53:53 +00:00
rltakashige 43728b2047 Send all exo logs (#1439)
## Motivation

Log rotation adds a bunch of .zst files. Let's send them all in the bug
reports.

This PR also standardises the logs so that they all include the
timestamp.
2026-02-10 19:28:33 +00:00
rltakashige 1699fcfb9f standardise logs (#1442)
## Motivation

Standardises exo.log and event_log

## Changes

- exo.log and exo.log.zst are now in a exo_log directory.
- event_log is now timestamped and not numbered. The timestamps can be
sorted as they are YYYY-MM-DD-HH-MM

## Test Plan

### Manual Testing
Nothing crashes.
2026-02-10 19:13:25 +00:00
rltakashige 009b43c662 add log rotation for .exo/exo.log (#1438)
## Motivation

.exo.log currently contains all past history. This just makes it hard to
read and is unnecessarily expensive even on disk.

## Why It Works

Just uses loguru's rotation.

## Test Plan

### Manual Testing
exo.log is new. 
<img width="1992" height="706" alt="image"
src="https://github.com/user-attachments/assets/9b293993-1141-43e7-b58e-0ddd2d4eda2e"
/>
2026-02-10 18:55:06 +00:00
Jake Hillion 1f242e8eee gossipsub: stop silent message dropping and warn (#1434)
The 15-second publish_queue_duration caused messages in peer queues to
be silently dropped. When events are dropped, workers detect gaps in the
event index sequence and request missing events via the NACK path
(RequestEventLog), but this recovery is inefficient.

Removed the timeout configuration - gossipsub now uses its default
behavior without time-based eviction. If queue buildup is a concern,
queue size should be limited explicitly rather than dropping by timeout.

Split error handling to log AllQueuesFullError as a warning (indicates
peers are unresponsive) while keeping NoPeersSubscribedToTopicError
silent (expected during startup and network partitions).

Test plan:
- CI
2026-02-10 18:47:47 +00:00
rltakashige 64179c6fc1 Dont save to app directory (#1435)
## Motivation

App keeps losing Local Network permissions.

## Changes

Don't save stuff to the app directory anymore. Instead, save to .exo.

## Why It Works

<!-- Explain why your approach solves the problem -->

## Test Plan

### Manual Testing
Before:
<img width="1512" height="106" alt="image"
src="https://github.com/user-attachments/assets/544ef57e-b626-484d-941f-2472969aa208"
/>

After:
<img width="433" height="53" alt="Screenshot 2026-02-10 at 17 43 06"
src="https://github.com/user-attachments/assets/3de2856b-cdf6-4b35-aa8f-50440686344f"
/>


### Automated Testing
<!-- Describe changes to automated tests, or how existing tests cover
this change -->
<!-- - -->
2026-02-10 18:41:36 +00:00
Jake Hillion 305a3c8b70 event_log: move event log from unbounded in-memory list to disk (#1432)
The master and API event logs (list[Event]) grew unbounded in RAM for
the lifetime of the process. Events are rarely read back (only for
RequestEventLog when a new node catches up, or the dashboard /events
endpoint).

Introduced a DiskEventLog class that writes length-prefixed msgpack
records to an append-only file, using a bounded LRU cache of byte
offsets for indexed access. On close, the active file is compressed
with ZSTD and rotated into a numbered archive slot, keeping the last 5
archives (events.1.bin.zst through events.5.bin.zst). On construction,
any stale active file from a crash is rotated before opening a fresh
log. The /events API endpoint now streams the JSON array one event at a
time rather than materializing the full list in memory. Deserialization
routes msgpack through json.dumps into Pydantic's validate_json() to
get correct JSON-mode coercion (e.g. string to enum) under strict mode.

This bounds memory usage to the LRU cache (128 entries) regardless of
event volume, while still supporting efficient sequential reads from
disk when needed.

Test plan:
- CI
- New unit tests for DiskEventLog: append/read, range queries, rotation
  on close, stale file recovery, idempotent close, successive sessions,
  archive retention limit (5 max)
- Tested on a cluster with 9000 events. /events continues working.
- On disk size is 3.9MiB with ~8000 events, and the compression is very
  effective.
- Disconnected and rejoined a machine, it rejoined fine.

---------

Co-authored-by: Ryuichi Leo Takashige <leo@exolabs.net>
2026-02-10 17:27:32 +00:00
Alex Cheema ead19bea74 Always load image model cards into cache (#1421)
## Motivation

Follows up on #1408. Image models (FLUX, Qwen-Image, etc.) don't have a
`config.json` on HuggingFace. Previously, image model TOML cards were
only loaded into `_card_cache` when `EXO_ENABLE_IMAGE_MODELS=true`. When
the flag was off but an image model was requested (e.g., via
`get_placement_previews`), `ModelCard.load()` fell through to
`fetch_from_hf()` which tried to download `config.json` — causing
`FileNotFoundError` spam. #1408 added defensive error handling; this PR
fixes the root cause.

## Changes

**`model_cards.py`**: Always include `image_model_cards/` in
`CARD_SEARCH_PATH` so image model TOML cards are always loaded into
`_card_cache`. `ModelCard.load()` then finds them directly and never
falls through to `fetch_from_hf()`. The `EXO_ENABLE_IMAGE_MODELS` flag
now controls whether image models appear in `get_model_cards()` (the
listing) rather than whether they're loaded at all.

## Why It Works

`fetch_from_hf()` is designed for text models only (it hardcodes
`tasks=[ModelTask.TextGeneration]` and requires `config.json`). Image
models should never reach that path. By always having them in the cache,
the lookup succeeds immediately and `fetch_from_hf()` is never called.

## Test Plan

### Automated Testing
- `uv run basedpyright` — 0 errors
- `uv run ruff check` — passes

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-10 09:11:57 -08:00
Jake Hillion 5a83e59182 dashboard: allow typing in chat input while response is generating (#1433)
The chat textarea was fully disabled during response generation,
preventing users from drafting their next message while waiting.

Removed the `disabled={loading}` attribute from the textarea element.
Submission is still blocked during generation by the early return in
`handleSubmit()` and the submit button's own disabled state.

Test plan:
- Ran on one machine. While a model was writing a really long poem, I
typed my next response. I couldn't submit it with Enter and the button
still said "Processing" greyed out. I could send the message after
generation finished.
2026-02-10 16:12:08 +00:00
Jake Hillion 5b5577bead build-app: upload DMG to S3 for non-tagged builds (#1428)
Non-tagged builds (test-app branch, manual dispatch) only uploaded the
DMG as a GitHub artifact, which requires authentication to download.

Added an early exit path that uploads the DMG with a commit hash suffix
(EXO-<sha>.dmg) for non-tagged builds, making it publicly accessible
via S3.

Test plan:
- CI
-
https://github.com/exo-explore/exo/actions/runs/21837274032/job/63011907978
  worked as intended

Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-10 15:47:49 +00:00
Evan Quiney 8314a2aa78 cleaning up the todos (#1406)
kinda closes #1400 ( a bit )
2026-02-10 12:35:29 +00:00
Alex Cheema 163cf18384 Add error handling to info gatherer monitor loops (#1422)
## Motivation

If any of the `InfoGatherer` monitor loops throw an unexpected
exception, the entire monitoring task crashes and never recovers. This
can silently stop memory, network, or Thunderbolt data collection for
the lifetime of the process.

## Changes

Wrap the body of each `while True` monitor loop in a try/except that
logs the exception as a warning and continues to the next iteration. The
sleep at the end of each loop runs regardless, providing natural backoff
before retry.

Affected methods: `_monitor_misc`,
`_monitor_system_profiler_thunderbolt_data`, `_monitor_memory_usage`,
`_watch_system_info`, `_monitor_thunderbolt_bridge_status`.

`_monitor_macmon` already had its own error handling so was left as-is.

## Why It Works

A transient error (e.g., a subprocess failing, a permission issue) in
one iteration no longer kills the loop. The warning log provides
visibility while the monitor continues collecting data on subsequent
iterations.

## Test Plan

### Automated Testing
- `uv run basedpyright` — 0 errors
- `uv run ruff check` — passes

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-10 12:24:43 +00:00
rltakashige 2204f651c8 Yield from reachability checks (#1427)
## Motivation

check_reachable waits for all connection profile checks to be completed.
Since there are retries on failures, this can take around 20s to
resolve, preventing any instances from showing up. This feels very slow
for UX, and it slows down distributed testing.

## Changes

Made check_reachable an async generator.

## Test Plan

### Manual Testing
Works for me at least.
2026-02-10 12:18:45 +00:00
rltakashige 4abdaaf74b Address GPU timeouts (#1429)
## Motivation

For large prompts and/or slow machines, users are running into GPU
timeout errors very often.

## Changes

Only during prefill, we eval distributed operations. We don't do this
during decode to maintain decode performance.
Raise the prefill step size to 8192 because now we can (we see a speedup
here).
We also now see a 2x speedup in pipeline parallel prefill by disabling
an unnecessary all_gather during prefill.

## Why It Works

GPU timeout errors happen in the Metal backend when GPU operations take
too long without making progress.
By isolating distributed operations, we can allow them to run without
any timeouts.

## Test Plan

### Manual Testing
Doesn't GPU timeout on 100k tokens on Minimax anymore. Also tested on
Kimi.

### Automated Testing
Needs more exo bench, but I think this is a good step in the right
direction.
2026-02-10 11:53:23 +00:00
ciaranbor 2fbdb27bb1 Handle config.json not found (image models) (#1408)
## Motivation

When downloading image models, a missing config.json file triggers a
FileNotFoundError inside download_file_with_retry. This error was being
caught by the generic except Exception handler and retried 3 times
before failing. Then, the whole thing would be retried from the start

## Changes

- src/exo/download/download_utils.py: Added FileNotFoundError to the
list of immediately-raised exceptions in download_file_with_retry,
alongside HuggingFaceAuthenticationError. This prevents useless retries
when a file genuinely doesn't exist on the remote.
- src/exo/master/api.py: Wrapped ModelCard.load(model_id) in a
try/except that converts failures into an HTTPException(400) with a
descriptive error message, giving API consumers a clear error response.

## Why It Works


- FileNotFoundError is a deterministic error — the file won't appear on
retry, so re-raising immediately avoids 3 wasted download attempts with
exponential backoff.
- Catching ModelCard.load() failures and returning a 400 HTTP response
prevents unhandled exceptions from surfacing as opaque 500 errors in the
API.

## Test Plan

### Manual Testing

Verified an image model not in model cards does not cause an infinite
error loop
2026-02-07 03:34:58 +00:00
ciaranbor 3f57416dbf Add image lightbox (#1414)
## Motivation

No way to view generated or attached images at full resolution in the
dashboard

## Changes

- New ImageLightbox.svelte — fullscreen overlay with download, close
(click-outside/Escape), and transitions
- ChatMessages.svelte — all images (input attachments + generated) are
now clickable to open in lightbox; added expand button to generated
image hover overlay

## Why It Works

Single expandedImageSrc state variable drives the lightbox — set it to
show, null to hide.

## Test Plan

### Manual Testing

  - Click any image (attachment thumbnail or generated) → lightbox opens
  - Close via Escape, click-outside, or close button
  - Download button saves with correct extension
2026-02-07 01:30:03 +00:00
rltakashige 8f3681cf7e Synchronize before warmup (#1419)
## Motivation

Maybe addresses #1303 

## Changes

Add an mx barrier before warmup

## Why It Works

It might, it might not. Shouldn't break anything that's not already
broken though.

## Test Plan

### Manual Testing
The two machines I tested on were fine on GLM 4.7 Flash 8bit (the one in
exo.log in the issue). Obviously not definitive for anything, however.

<img width="594" height="878" alt="image"
src="https://github.com/user-attachments/assets/534d3ad6-16ef-4cb5-b823-43c8d4e1d3c6"
/>
2026-02-07 00:14:19 +00:00
ciaranbor 9dc4f786bd Ciaran/image model listing (#1417)
## Motivation

Image models (FLUX, Qwen Image) had no family grouping or quantization
metadata in the dashboard

## Changes

- Added family, quantization, base_model, and capabilities fields to all
18 image model TOML cards (FLUX.1 variants + Qwen Image variants)
  - Added FLUX and Qwen Image SVG logos to FamilyLogos.svelte
- Added "flux" and "qwen-image" families to the sidebar and family sort
order
- Added "Image Gen" and "Image Edit" capability filters in
ModelFilterPopover.svelte
  - Added image edit icon/badge to ModelPickerGroup.svelte
- Made the model category sidebar scrollable to accommodate the new
entries
  - Hidden scrollbars on model list panels

## Why It Works

Reuses the existing family/quantization grouping infrastructure that
LLMs already use, extending it to image models with appropriate metadata
and icons

## Test Plan

### Manual Testing

Verified image models behave like text models in the model list dialog

---------

Co-authored-by: Alex Cheema <41707476+AlexCheema@users.noreply.github.com>
2026-02-06 16:08:57 -08:00
rltakashige dcb4cabc15 Update the nix hash for mlx 0.30.5 (#1416)
## Motivation

<!-- Why is this change needed? What problem does it solve? -->
<!-- If it fixes an open issue, please link to the issue here -->

## Changes

<!-- Describe what you changed in detail -->

## Why It Works

<!-- Explain why your approach solves the problem -->

## Test Plan

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
<!-- What you did: -->
<!-- - -->

### Automated Testing
<!-- Describe changes to automated tests, or how existing tests cover
this change -->
<!-- - -->
2026-02-06 21:27:10 +00:00
Jake Hillion d79b3a0e75 bench: make exo-bench available via nix run on all platforms (#1415)
exo-bench was gated behind isDarwin in python/parts.nix because it used
exoVenv, which pulls in MLX (Darwin-only). However, exo_bench.py is an
HTTP client that only needs loguru, transformers, huggingface-hub, and
tiktoken.

Made bench a uv workspace member with its own pyproject.toml declaring
only the minimal dependencies. Added a separate benchVenv in parts.nix
built from that workspace member, and moved exo-bench out of the
isDarwin block so it is available on all platforms.

Test plan:
- `nix run .#exo-bench -- --help` prints argparse help

---------

Co-authored-by: Ryuichi Leo Takashige <leo@exolabs.net>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-06 21:07:17 +00:00
Evan Quiney a2f1d48712 slow down catchup (#1407)
our event log request blasted the whole event log over libp2p, now it
just does the next 1000 messages - hopefully allowing nodes to catch up
a bit more consistently for long lived clusters

Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-06 20:45:27 +00:00
rltakashige 3b2f553a25 Fix kimi tool calling id (#1413)
## Motivation

Kimi produces its own tool id. It gets confused when we generate our own
id.

## Changes

Add id to tool call item and parse Kimi id properly.

## Test Plan

### Manual Testing
<img width="3198" height="522" alt="image"
src="https://github.com/user-attachments/assets/d71ec2be-7f57-49dc-a569-d304cc430f4d"
/>

Long running Kimi K2.5 cluster querying itself through OpenCode running
on the same Kimi K2.5 instance.
2026-02-06 11:33:51 -08:00
rltakashige 5455a97a8c Fix GLM4Moe Tensor Sharding (#1411)
## Motivation

Recent commit broke glm (non lite) sharding

## Why It Works

Assert is no longer hit, as isinstance check includes
GLM4MoeDecoderLayer.
Added type stubs to keep the type checker happy.

## Test Plan

### Manual Testing
Runs as expected without gibberish.
2026-02-06 16:53:15 +00:00
ciaranbor 6f0cb99919 Ciaran/flux1 kontext (#1394)
## Motivation

Add support for FLUX.1-Kontext-dev, an image editing variant of
FLUX.1-dev

## Changes

- New FluxKontextModelAdapter: Handles Kontext's image-to-image workflow
- encodes input image as conditioning latents with special position IDs,
generates from pure noise
- Model config: 57 transformer blocks (19 joint + 38 single), guidance
scale 4.0, ImageToImage task
- Pipeline updates: Added kontext_image_ids property to PromptData
interface, passed through diffusion runner
  - Model cards: Added TOML configs for base, 4-bit, and 8-bit variants
  - Dependency: mflux 0.15.4 → 0.15.5
- Utility: tmp/quantize_and_upload.py for quantizing and uploading
models to HuggingFace

## Test Plan

### Manual Testing

Works better than Qwen-Image-Edit
2026-02-06 16:20:31 +00:00
ciaranbor c8d3154f83 More image dimensions (#1395)
## Motivation

More dimensions for image generation

## Changes

- dashboard/src/lib/components/ImageParamsPanel.svelte: Added
"1024x1365" and "1365x1024" to the sizeOptions array
- dashboard/src/lib/stores/app.svelte.ts: Extended the size type in
ImageGenerationParams interface to include the two new dimension options
2026-02-06 15:59:06 +00:00
ciaranbor 63e9cc4fea Ciaran/num sync steps (#1396)
## Motivation

Allow users to directly configure num_sync_steps for distributed image
generation instead of deriving it from a factor of total steps.

## Changes

  - Added num_sync_steps field to AdvancedImageParams API (range 1-50)
- Changed model configs from num_sync_steps_factor: float to
num_sync_steps: int
  - Updated Flux/Qwen configs with direct values (1, 4, 7 respectively)
  - Added slider control in dashboard advanced params panel
  - Falls back to model default when not specified

## Why It Works

Decouples sync steps from inference steps, giving users direct control
over distributed inference synchronization while preserving sensible
defaults.

## Test Plan

### Manual Testing

  - Generate images with various sync step values via dashboard slider
  - Verify default behavior when parameter is unset
2026-02-06 15:51:46 +00:00
Evan Quiney 9b5cae3db6 auto bench (#1405)
runs exo_bench remotely with some nice git QoL

## usage
run tests/auto_bench.sh host1 [host2]

exo bench will be run on those hosts and its output saved to
bench/commit_hash/*.json on all models currently downloaded
2026-02-06 15:35:46 +00:00
Jake Hillion cf7201f91e pyproject: set minimum uv version
The uv.lock is churning constantly as different UV versions bounce it
between revisions. This is made worse by GitHub automatically hiding the
uv.lock changes, meaning it's hard to notice when this went wrong.

Set a minimum version for `uv` in pyproject.toml to fix this. I tried
quite a few versions (not all) and found 0.8.6 sets the revision to 3,
which I believe is the latest. This is from August 2025 so has been
around for a while.

Test plan:

```
jake@maverick:/data/users/jake/repos/exo/ > git checkout main uv.lock
jake@maverick:/data/users/jake/repos/exo/ > nix shell github:nixos/nixpkgs/3dce7f4a77812afd69efcbfe15e5223f98c5c69e#uv --command sh -c 'uv add pip --frozen && uv lock && uv remove pip --frozen && uv lock && uv --version'

Resolved 140 packages in 147ms
Added pip v26.0.1
Resolved 139 packages in 48ms
Removed pip v26.0.1
uv 0.8.6
```
2026-02-06 15:28:10 +00:00
rltakashige b315035ae0 Add minimax and fix qwen sharding strategies (#1318)
## Motivation

MiniMax tensor sharding does not provide equivalent outputs to running
it as a single node because RMSNorm weights cannot be split without
affecting the output.

Qwen3Next sharding was broken, and something with Qwen3MoE was likely
changed upstream, as several variables no longer exist.

This also ballooned into fixing prefix caching for non-standard models
as Qwen3Next was behaving weirdly.

## Changes

<!-- Describe what you changed in detail -->

## Why It Works

<!-- Explain why your approach solves the problem -->

## Test Plan

### Manual Testing
Worked for a 8 hour long eval at the same performance and a more similar
completion/reasoning token distribution.

---------

Co-authored-by: Alex Cheema <41707476+AlexCheema@users.noreply.github.com>
Co-authored-by: Alex Cheema <alexcheema123@gmail.com>
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: Evan <evanev7@gmail.com>
2026-02-06 13:26:59 +00:00
rltakashige c8dbbee27b skip tensor ring on bench (#1403)
## Motivation

<!-- Why is this change needed? What problem does it solve? -->
<!-- If it fixes an open issue, please link to the issue here -->

## Changes

<!-- Describe what you changed in detail -->

## Why It Works

<!-- Explain why your approach solves the problem -->

## Test Plan

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
<!-- What you did: -->
<!-- - -->

### Automated Testing
<!-- Describe changes to automated tests, or how existing tests cover
this change -->
<!-- - -->
2026-02-06 13:06:59 +00:00
rltakashige f0107e9670 Fix offline no cache (#1402)
## Motivation

In offline mode, exo complains if there is no caches directory, even if
the files are there.

## Changes

Check safetensors index and the directory structure to build caches
directory.

## Test Plan

### Manual Testing
<img width="2338" height="1102" alt="image"
src="https://github.com/user-attachments/assets/ad769911-399b-4fca-ac80-aeaa046af06b"
/>
<img width="656" height="1668" alt="image"
src="https://github.com/user-attachments/assets/6080986c-3904-4600-a340-8c70f1b33266"
/>
2026-02-06 12:57:01 +00:00
Hunter Bown 9f502793c1 fix: retry downloads on transient errors instead of breaking (#1398)
## Motivation

`download_file_with_retry()` has a `break` in the generic exception
handler that exits the retry loop after the first transient failure.
This means network timeouts, connection resets, and server errors all
cause an immediate download failure — the two remaining retry attempts
never run.

## Changes

**download_utils.py**: Replaced `break` with logging and exponential
backoff in the generic exception handler, matching the existing
rate-limit handler behavior.

Before:
```python
except Exception as e:
    on_connection_lost()
    if attempt == n_attempts - 1:
        raise e
    break  # exits loop immediately
```

After:
```python
except Exception as e:
    on_connection_lost()
    if attempt == n_attempts - 1:
        raise e
    logger.error(f"Download error on attempt {attempt + 1}/{n_attempts} ...")
    logger.error(traceback.format_exc())
    await asyncio.sleep(2.0**attempt)
```

## Why It Works

The `break` statement was bypassing the retry mechanism entirely.
Replacing it with the same log-and-backoff pattern used by the
`HuggingFaceRateLimitError` handler means all 3 attempts are actually
used before giving up. The exponential backoff (1s, 2s) gives transient
issues time to resolve between attempts.

## Test Plan

### Manual Testing
- Downloads that hit transient network errors now retry instead of
failing immediately

### Automated Testing
- `uv run basedpyright` — 0 errors
- `uv run ruff check` — passes
- `uv run pytest src/exo/download/tests/ -v` — 11 tests pass

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-06 11:51:54 +00:00
Evan Quiney c8371349d5 add scripts (#1401)
allow running exo-bench and the headless runner from nix
2026-02-06 11:06:40 +00:00
Evan Quiney 6b907398a4 cancel downloads for deleted instances (#1393)
after deleting an instance, if a given (node_id, model_id) pair doesn't exist in the left over instances, cancel the download of model_id on node_id.
2026-02-05 18:16:43 +00:00
Evan Quiney 572e647908 better cancellation (#1388)
a lot of our cleanup logic wasn't running leading to bad shutdown states

## changes
- added `try: except` blocks around most task groups
- made the runner shutdown code synchronous
- abandon the MpReceiver's recv_async thread on cancellation
- this only occurs during runner shutdown, the queue closing from the
other end should terminate the mp.Queue, cleaning up the thread in its
own time. i could try other methods if this is not sufficient.

## outcome
ctrl-c just works now! minus the tokio panic of course :) no more
hypercorn lifespan errors though!
2026-02-05 15:22:33 +00:00
Evan Quiney e59ebd986d set exo as the nix default package (#1391)
!!!
2026-02-05 15:15:52 +00:00
Alex Cheema 5c2f29f3f2 feat: show download availability in model picker (#1377)
## Motivation

Users browsing models in the picker need to know which models are
already downloaded and ready to run on their cluster, without having to
check the downloads page separately.

## Changes

- **ModelPickerModal.svelte**: Computes per-model download availability
by checking which nodes have `DownloadCompleted` entries and summing
their total RAM against the model's storage size. Passes availability
data to `ModelPickerGroup`. Enhances the info modal with a "Downloaded
on:" section showing node friendly names with green badges.
- **ModelPickerGroup.svelte**: Accepts new `downloadStatus` prop. Shows
a green checkmark-in-circle icon next to models that are downloaded on
sufficient nodes. Tooltip shows which nodes have the model.
- **+page.svelte**: Passes `downloadsData` and `topologyNodes` to
`ModelPickerModal`.

## Why It Works

The download state from `/state` already tracks per-node completed
downloads. The shared `getNodesWithModelDownloaded()` utility (from PR
#1375) finds nodes with `DownloadCompleted` entries for each model.
Total RAM is summed from the topology node data (using `ram_total`, not
`ram_available`) and compared to the model's `storage_size_megabytes` to
determine if there's enough aggregate memory. This is intentionally a
simple heuristic — not a full placement preview.

## Test Plan

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
<!-- What you did: -->
- Open the model picker modal
- Verify downloaded models show a green checkmark icon
- Verify the checkmark appears dimmer for models downloaded on nodes
with insufficient total RAM
- Click the (i) info button on a downloaded model
- Verify "Downloaded on:" section appears with correct node names
- Verify models with no downloads show no indicator

### Automated Testing
- Dashboard builds successfully (`npm run build`)
- No new Python changes requiring type checking

> **Note:** This is a chained PR. Base branch is
`alexcheema/topology-download-indicators` (#1375).

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-05 14:32:53 +00:00
Alex Cheema ffe6396c91 Add Qwen3-Coder-Next model cards (#1367)
## Motivation

Qwen3-Coder-Next just dropped on mlx-community in several quantizations.
It's an 80B MoE model (Qwen3NextForCausalLM) which we already have
tensor parallelism support for via QwenShardingStrategy — just needs
model cards.

## Changes

Added model cards for all 5 available quantizations:
- `mlx-community/Qwen3-Coder-Next-4bit` (~46GB)
- `mlx-community/Qwen3-Coder-Next-5bit` (~58GB)
- `mlx-community/Qwen3-Coder-Next-6bit` (~69GB)
- `mlx-community/Qwen3-Coder-Next-8bit` (~89GB)
- `mlx-community/Qwen3-Coder-Next-bf16` (~158GB)

All with `supports_tensor = true` since the architecture is already
supported.

## Why It Works

`Qwen3NextForCausalLM` is already handled by QwenShardingStrategy in
auto_parallel.py and is in the supports_tensor allowlist in
model_cards.py. No code changes needed — just the TOML card files.

## Test Plan

### Manual Testing
<!-- n/a - model card addition only -->

### Automated Testing
- `basedpyright` — 0 errors
- `ruff check` — passes
- `nix fmt` — no changes
- `pytest` — 173 passed, 1 skipped


🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-05 13:37:18 +00:00
Jake Hillion 3a9baeb9db EXO: add CLI flags for root install/uninstall
The macOS app required user interaction via AppleScript prompts to
install or uninstall network configuration components, making automated
deployments difficult.

Added --install and --uninstall command line flags that execute the
network setup scripts directly when running as root, bypassing GUI
prompts. Created a new main.swift entry point that parses CLI arguments
and delegates to NetworkSetupHelper's new direct execution methods.

This enables headless installation via `sudo EXO --install` for
automated deployment scenarios while preserving the existing GUI
behavior when launched normally.

Test plan:

- Deployed to a machine that didn't have the content installed. Got
  blocked on the popup and EXO never launched.
- Relaunched EXO, confirmed it still never starts because of the popup.
- Ran `sudo /Applications/EXO.app/Contents/MacOS/EXO --install`
- Launched EXO - the API started as expected.
- Ran `sudo /Applications/EXO.app/Contents/MacOS/EXO --uninstall`
- Launched EXO - got the popup.
2026-02-05 13:27:46 +00:00
Alex Cheema 01b86a9e81 feat: add uncertainty visualization with token-level logprobs (#1180)
## Motivation

Adds uncertainty visualization to the chat interface, allowing users to
see token-level confidence scores and regenerate responses from any
point in the generation. This enables users to:
- Understand model confidence at each token
- Explore alternative completions by regenerating from uncertain tokens
- Debug and analyze model behavior

## Changes

### Uncertainty Visualization
- Add `TokenHeatmap` component showing token-level probability coloring
- Toggle uncertainty view per message with bar chart icon
- Display tooltip with probability, logprob, and top alternative tokens
on hover

### Regenerate from Token
- Add "Regenerate from here" button in token tooltip
- Use `continue_final_message` in chat template to continue within same
turn (no EOS tokens)
- Add `continue_from_prefix` flag to `ChatCompletionTaskParams`

### Request Cancellation
- Add `AbortController` to cancel in-flight requests when regenerating
mid-generation
- Handle `BrokenResourceError` server-side when client disconnects
gracefully

### Additional APIs
- Add Claude Messages API support (`/v1/messages`)
- Add OpenAI Responses API support (`/v1/responses`)

## Why It Works

- **Proper continuation**: Using `continue_final_message=True` instead
of `add_generation_prompt=True` keeps the assistant turn open, allowing
the model to continue naturally from the prefix without end-of-turn
markers
- **Clean cancellation**: AbortController aborts the HTTP request, and
server catches `BrokenResourceError` to avoid crashes
- **Stable hover during generation**: TokenHeatmap tracks hover by index
(stable across re-renders) with longer hide delay during generation

## Test Plan

### Manual Testing
<!-- Hardware: MacBook Pro M1 -->
- Send a message and verify logprobs are collected
- Enable uncertainty view and verify token coloring based on probability
- Hover over tokens to see tooltip with alternatives
- Click "Regenerate from here" on a token mid-response
- Verify the response continues naturally from that point
- Verify aborting mid-generation and regenerating works without server
crash

### Automated Testing
- Added tests for Claude Messages API adapter
- Added tests for OpenAI Responses API adapter

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: Evan <evanev7@gmail.com>
2026-02-05 05:21:26 -08:00
rltakashige 221640a65b Acknowledge task after runner status is updated (#1381)
## Motivation

Duplicate tasks are still observed.

## Changes

Moved task acknowledgement to after the runner has changed its status.

## Why It Works

Tasks now remain pending until the runner has updated its status.

## Test Plan

### Manual Testing
Seems to work fine from manual testing. Hard to test a race condition
though.

### Automated Testing
Updated the event ordering test.
2026-02-05 12:00:37 +00:00
ciaranbor 6177550c34 Ciaran/parallel cfg (#1361)
## Motivation

Enable parallel classifier-free guidance (CFG) for Qwen image models.
CFG requires two forward passes (positive/negative prompts) - this
allows them to run on separate nodes simultaneously, reducing latency.

## Changes

  - Added uses_cfg flag to ModelCard to identify CFG-based models
- Extended PipelineShardMetadata with CFG topology fields (cfg_rank,
cfg_world_size, peer device info)
- Updated placement to create two CFG groups with reversed ordering
(places CFG peers as ring neighbors)
- Refactored DiffusionRunner to process CFG branches separately with
exchange at last pipeline stage
- Added get_cfg_branch_data() to PromptData for single-branch embeddings
  - Fixed seed handling in API for distributed consistency
  - Fixed image yield to only emit from CFG rank 0 at last stage
  - Increased num_sync_steps_factor from 0.125 to 0.25 for Qwen

## Why It Works

- 2 nodes + CFG: Both run all layers, process different CFG branches in
parallel
  - 4+ even nodes + CFG: Hybrid - 2 CFG groups × N/2 pipeline stages
  - Odd nodes or non-CFG: Falls back to pure pipeline parallelism
 
 Ring topology places CFG peers as neighbors to enable direct exchange.

## Test Plan

### Manual Testing

Verified performance gain for Qwen-Image for 2 node and 4 node cluster.
Non-CFG models still work

### Automated Testing
 
Added tests in test_placement_utils.py covering 2-node CFG parallel,
4-node hybrid, odd-node fallback, and non-CFG pipeline modes.
2026-02-04 21:16:35 +00:00
Evan Quiney 7b6cad94c6 add resources dir to nix (#1376)
add resources directory to the nix exo package, and fixes the env for the dashboard dir
2026-02-04 16:38:43 +00:00
Alex Cheema 41ed7afb3b feat: add model picker modal with grouped models and HF Hub search (#1369)
## Motivation

Reimplements the model picker modal from #1191 on top of the custom
model support branch. Replaces the inline model dropdown with a
full-featured modal that groups models by base model, supports
filtering, favorites, and HuggingFace Hub search.

## Changes

**Backend:**
- Add `family`, `quantization`, `base_model`, `capabilities` metadata
fields to `ModelCard` and all 40 TOML model cards
- Pass new fields through `ModelListModel` and `get_models()` API
response
- Add `GET /models/search` endpoint using
`huggingface_hub.list_models()`

**Dashboard (7 new files):**
- `ModelPickerModal.svelte` — Main modal with search, family filtering,
HuggingFace Hub tab
- `ModelPickerGroup.svelte` — Expandable model group row with
quantization variants
- `FamilySidebar.svelte` — Vertical sidebar with family icons (All,
Favorites, Hub, model families)
- `FamilyLogos.svelte` — SVG icons for each model family
- `ModelFilterPopover.svelte` — Capability and size range filters
- `HuggingFaceResultItem.svelte` — HF search result item with
download/like counts
- `favorites.svelte.ts` — localStorage-backed favorites store

**Integration:**
- Replace inline dropdown in `+page.svelte` with button that opens
`ModelPickerModal`
- Custom models shown in Hub tab with delete support

**Polish:**
- Real brand logos (Meta, Qwen, DeepSeek, OpenAI, GLM, MiniMax, Kimi,
HuggingFace) from Simple Icons / LobeHub
- Clean SVG stroke icons for capabilities (thinking, code, vision, image
gen)
- Consistent `border-exo-yellow/10` borders, descriptive tooltips
throughout
- Cluster memory (used/total) shown in modal header
- Selected model highlight with checkmark for both single and
multi-variant groups
- Cursor pointer on all interactive elements, fix filter popover
click-outside bug
- Custom models now appear in All tab alongside built-in models

## Bug Fix: Gemma 3 EOS tokens

Also included in this branch: fix for Gemma 3 models generating infinite
`<end_of_turn>` tokens. The tokenizer's `eos_token_ids` was missing
token ID 106 (`<end_of_turn>`), so generation never stopped. The fix
appends this token to the EOS list after loading the tokenizer. Also
handles `eos_token_ids` being a `set` (not just a `list`).

## Why It Works

Model metadata (family, capabilities, etc.) is stored directly in TOML
cards rather than derived from heuristics, ensuring accuracy. The modal
groups models by `base_model` field so quantization variants appear
together. Custom models are separated into the Hub tab since they lack
grouping metadata.

## Test Plan

### Manual Testing
- Open dashboard, click model selector to open modal
- Browse models by family sidebar, search, and filters
- Expand model groups to see quantization variants
- Star favorites and verify persistence across page reloads
- Navigate to Hub tab, search and add models
- Verify error messages shown for invalid model IDs
- Run a Gemma 3 model and verify generation stops at `<end_of_turn>`

### Automated Testing
- `uv run basedpyright` — 0 errors
- `uv run ruff check` — passes
- `nix fmt` — clean
- `uv run pytest src/` — 173 passed
- `cd dashboard && npm run build` — builds successfully

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-04 05:56:23 -08:00
Alex Cheema 2063278906 feat: add custom HuggingFace model support (#1368)
## Motivation

Users should be able to run any HuggingFace model, not just the ones we
ship TOML cards for. Continues the aim of #1191 with a minimal
implementation on top of the current TOML model card system.

Custom cards are saved to `~/.exo/custom_model_cards/` rather than the
bundled `resources/inference_model_cards/` because `RESOURCES_DIR` is
read-only in PyInstaller bundles (`sys._MEIPASS`). This also fixes
`fetch_from_hf` which was saving cards to the wrong path (`resources/`
root instead of `resources/inference_model_cards/`).

## Changes

- Add `EXO_CUSTOM_MODEL_CARDS_DIR` constant
(`~/.exo/custom_model_cards/`)
- Update `model_cards.py`: add custom dir to search path, fix
`save_to_custom_dir`, add `delete_custom_card`/`is_custom_card`
- Add `POST /models/add` and `DELETE /models/custom/{model_id}` API
endpoints
- Add `is_custom` field to `ModelListModel` API response
- Dashboard: add custom model input form in dropdown, delete button for
custom models, show actual API errors, auto-select newly added model

## Why It Works

Two separate directories for model cards: the bundled read-only
`resources/inference_model_cards/` for built-in cards, and user-writable
`~/.exo/custom_model_cards/` for custom cards. Both are scanned when
listing models. This works in all environments including PyInstaller
bundles where `RESOURCES_DIR` points to `sys._MEIPASS`.

## Test Plan

### Manual Testing
- Add a custom model via the dropdown (e.g.
`mlx-community/Llama-3.2-1B-Instruct-4bit`)
- Verify it appears in the model list with the delete (x) button
- Delete it and verify it disappears
- Try adding an invalid model ID and verify the actual error is shown

### Automated Testing
- `uv run basedpyright` — 0 errors
- `uv run ruff check` — passes
- `uv run pytest src/` — passes
- `cd dashboard && npm run build` — builds

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-04 05:06:15 -08:00
rltakashige a0f4f36355 Reduce reliance on internet (#1363)
## Motivation

Offline users currently have to wait for every retry to fail before
being able to launch a model.
For users that restart clusters often or share API keys between devices,
we also spam HuggingFace with downloads every 5 minutes.
These issues are caused by _emit_existing_download_progress being
inefficient.

## Changes

- Only query HuggingFace once while EXO is running (assumption being
that a change should only be reflected on a new EXO session)
- Only query HuggingFace when there is an internet connection (polling
connectivity every 10 seconds)
- Request download progress if we switch from no connectivity ->
connected to reduce the wait.
- Reduce download progress sleep as it's no longer expensive (queries
cache most of the time).
- Reduce retries as 30 is way too many.

## Test Plan

### Manual Testing
Manually tested the behaviour.

### Automated Testing
None, should I add any? We do have some tests for this folder, but they
are probably not too helpful.
2026-02-03 20:03:29 +00:00
Alex Cheema acb97127bf Normalize TextGenerationTaskParams.input to list[InputMessage] (#1360)
## Motivation

With the addition of the Responses API, we introduced `str |
list[InputMessage]` as the type for `TextGenerationTaskParams.input`
since the Responses API supports sending input as a plain string. But
there was no reason to leak that flexibility past the API adapter
boundary — it just meant every downstream consumer had to do `if
isinstance(messages, str):` checks, adding complexity for no benefit.

## Changes

- Changed `TextGenerationTaskParams.input` from `str |
list[InputMessage]` to `list[InputMessage]`
- Each API adapter (Chat Completions, Claude Messages, Responses) now
normalizes to `list[InputMessage]` at the boundary
- Removed `isinstance(task_params.input, str)` branches in
`utils_mlx.py` and `runner.py`
- Wrapped string inputs in `[InputMessage(role="user", content=...)]` in
the warmup path and all test files

## Why It Works

The API adapters are the only place where we deal with raw user input
formats. By normalizing there, all downstream code (worker, runner, MLX
engine) can just assume `list[InputMessage]` and skip the type-checking
branches. The type system (`basedpyright`) catches any missed call sites
at compile time.

## Test Plan

### Automated Testing
- `uv run basedpyright` — 0 errors
- `uv run ruff check` — passes
- `nix fmt` — applied
- `uv run pytest` — 174 passed, 1 skipped

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 06:01:56 -08:00
Evan Quiney d90605f198 migrate model cards to .toml files (#1354) 2026-02-03 12:32:06 +00:00
Evan Quiney f400b4d7c5 fix InstanceViewModel.swift (#1359)
wasn't caught when we merged the API changes
2026-02-02 18:43:27 +00:00
Evan Quiney d97bca88e6 improve distributed testing (#1300)
Our distributed test now does a full query cycle for every model loaded
onto the relevant machine. This will help find bugs early, as it already
has found one with Qwen3 Next! I didn't write down what the error was
though. Gooooooood luck with that!

Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-02 18:25:39 +00:00
396 changed files with 45923 additions and 10602 deletions
+16 -2
View File
@@ -159,7 +159,7 @@ jobs:
fi
- name: Install Homebrew packages
run: brew install just awscli macmon
run: brew install just awscli
- name: Install UV
uses: astral-sh/setup-uv@v6
@@ -243,6 +243,14 @@ jobs:
# Build the bundle
# ============================================================
- name: Add pinned macmon to PATH
run: |
MACMON_DIR=$(nix develop --command sh -c 'dirname $(which macmon)')
echo "Using macmon from: $MACMON_DIR"
echo "$MACMON_DIR" >> $GITHUB_PATH
# Remove any Homebrew macmon so PyInstaller can't accidentally pick it up
brew uninstall macmon 2>/dev/null || true
- name: Build PyInstaller bundle
run: uv run pyinstaller packaging/pyinstaller/exo.spec
@@ -396,7 +404,7 @@ jobs:
path: output/EXO-${{ env.RELEASE_VERSION }}.dmg
- name: Upload to S3
if: env.SPARKLE_S3_BUCKET != '' && github.ref_type == 'tag'
if: env.SPARKLE_S3_BUCKET != ''
env:
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
@@ -412,6 +420,12 @@ jobs:
PREFIX="${PREFIX}/"
fi
DMG_NAME="EXO-${RELEASE_VERSION}.dmg"
if [[ "${{ github.ref_type }}" != "tag" ]]; then
aws s3 cp "$DMG_NAME" "s3://${SPARKLE_S3_BUCKET}/${PREFIX}EXO-${GITHUB_SHA}.dmg"
exit 0
fi
aws s3 cp "$DMG_NAME" "s3://${SPARKLE_S3_BUCKET}/${PREFIX}${DMG_NAME}"
if [[ "$IS_ALPHA" != "true" ]]; then
aws s3 cp "$DMG_NAME" "s3://${SPARKLE_S3_BUCKET}/${PREFIX}EXO-latest.dmg"
+2 -27
View File
@@ -8,33 +8,6 @@ on:
- main
jobs:
typecheck:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
lfs: false
- uses: cachix/install-nix-action@v31
with:
nix_path: nixpkgs=channel:nixos-unstable
- uses: cachix/cachix-action@v14
name: Configure Cachix
with:
name: exo
authToken: "${{ secrets.CACHIX_AUTH_TOKEN }}"
- name: Load nix develop environment
run: nix run github:nicknovitski/nix-develop/v1
- name: Sync dependencies
run: uv sync --all-packages
- name: Run type checker
run: uv run basedpyright --project pyproject.toml
nix:
name: Build and check (${{ matrix.system }})
runs-on: ${{ matrix.runner }}
@@ -142,4 +115,6 @@ jobs:
# Run pytest outside sandbox (needs GPU access for MLX)
export HOME="$RUNNER_TEMP"
export EXO_TESTS=1
export EXO_DASHBOARD_DIR="$PWD/dashboard/"
export EXO_RESOURCES_DIR="$PWD/resources"
$TEST_ENV/bin/python -m pytest src -m "not slow" --import-mode=importlib
+7
View File
@@ -31,3 +31,10 @@ dashboard/.svelte-kit/
# host config snapshots
hosts_*.json
.swp
# bench files
bench/**/*.json
# tmp
tmp/models
@@ -0,0 +1,7 @@
"""
This type stub file was generated by pyright.
"""
from mflux.models.flux.variants.kontext.flux_kontext import Flux1Kontext
__all__ = ["Flux1Kontext"]
@@ -0,0 +1,49 @@
"""
This type stub file was generated by pyright.
"""
from pathlib import Path
from typing import Any
from mlx import nn
from mflux.models.common.config.model_config import ModelConfig
from mflux.models.flux.model.flux_text_encoder.clip_encoder.clip_encoder import (
CLIPEncoder,
)
from mflux.models.flux.model.flux_text_encoder.t5_encoder.t5_encoder import T5Encoder
from mflux.models.flux.model.flux_transformer.transformer import Transformer
from mflux.models.flux.model.flux_vae.vae import VAE
from mflux.utils.generated_image import GeneratedImage
class Flux1Kontext(nn.Module):
vae: VAE
transformer: Transformer
t5_text_encoder: T5Encoder
clip_text_encoder: CLIPEncoder
bits: int | None
lora_paths: list[str] | None
lora_scales: list[float] | None
prompt_cache: dict[str, Any]
tokenizers: dict[str, Any]
def __init__(
self,
quantize: int | None = ...,
model_path: str | None = ...,
lora_paths: list[str] | None = ...,
lora_scales: list[float] | None = ...,
model_config: ModelConfig = ...,
) -> None: ...
def generate_image(
self,
seed: int,
prompt: str,
num_inference_steps: int = ...,
height: int = ...,
width: int = ...,
guidance: float = ...,
image_path: Path | str | None = ...,
image_strength: float | None = ...,
scheduler: str = ...,
) -> GeneratedImage: ...
@@ -0,0 +1,16 @@
"""
This type stub file was generated by pyright.
"""
import mlx.core as mx
from mflux.models.flux.model.flux_vae.vae import VAE
class KontextUtil:
@staticmethod
def create_image_conditioning_latents(
vae: VAE,
height: int,
width: int,
image_path: str,
) -> tuple[mx.array, mx.array]: ...
+20 -4
View File
@@ -215,6 +215,22 @@ class StreamContext:
traceback: object | None = ...,
) -> None: ...
def device_info() -> dict[str, str | int]:
"""
Get information about the GPU device and system settings.
Currently returns:
* ``architecture``
* ``max_buffer_size``
* ``max_recommended_working_set_size``
* ``memory_size``
* ``resource_limit``
Returns:
dict: A dictionary with string keys and string or integer values.
"""
def abs(a: array, /, *, stream: Stream | Device | None = ...) -> array:
"""
Element-wise absolute value.
@@ -1139,7 +1155,7 @@ class array:
) -> array:
"""See :func:`flatten`."""
def reshape(self, *shape, stream: Stream | Device | None = ...) -> array:
def reshape(self, *shape: int, stream: Stream | Device | None = ...) -> array:
"""
Equivalent to :func:`reshape` but the shape can be passed either as a
:obj:`tuple` or as separate arguments.
@@ -1222,7 +1238,7 @@ class array:
) -> array:
"""See :func:`swapaxes`."""
def transpose(self, *axes, stream: Stream | Device | None = ...) -> array:
def transpose(self, *axes: int, stream: Stream | Device | None = ...) -> array:
"""
Equivalent to :func:`transpose` but the axes can be passed either as
a tuple or as separate arguments.
@@ -2366,7 +2382,7 @@ class custom_function:
def default_device() -> Device:
"""Get the default device."""
def default_stream(device: Device) -> Stream:
def default_stream(device: Device | DeviceType) -> Stream:
"""Get the device's default stream."""
def degrees(a: array, /, *, stream: Stream | Device | None = ...) -> array:
@@ -2380,7 +2396,7 @@ def degrees(a: array, /, *, stream: Stream | Device | None = ...) -> array:
array: The angles in degrees.
"""
def depends(inputs: array | Sequence[array], dependencies: array | Sequence[array]):
def depends[T](inputs: T, dependencies: array | Sequence[array]) -> T:
"""
Insert dependencies between arrays in the graph. The outputs are
identical to ``inputs`` but with dependencies on ``dependencies``.
+2 -6
View File
@@ -1,9 +1,5 @@
"""
This type stub file was generated by pyright.
"""
from layers import *
from utils import *
from .layers import *
from .utils import *
from . import init as init
from . import losses as losses
+16 -20
View File
@@ -1,20 +1,16 @@
"""
This type stub file was generated by pyright.
"""
from activations import *
from base import *
from containers import *
from convolution import *
from convolution_transpose import *
from distributed import *
from dropout import *
from embedding import *
from linear import *
from normalization import *
from pooling import *
from positional_encoding import *
from quantized import *
from recurrent import *
from transformer import *
from upsample import *
from .activations import *
from .base import *
from .containers import *
from .convolution import *
from .convolution_transpose import *
from .distributed import *
from .dropout import *
from .embedding import *
from .linear import *
from .normalization import *
from .pooling import *
from .positional_encoding import *
from .quantized import *
from .recurrent import *
from .transformer import *
from .upsample import *
+2 -2
View File
@@ -53,7 +53,7 @@ class Module(dict):
mx.eval(model.parameters())
"""
__call__: Callable
def __call__(self, *args: Any, **kwargs: Any) -> mx.array: ...
def __init__(self) -> None:
"""Should be called by the subclasses of ``Module``."""
@@ -200,7 +200,7 @@ class Module(dict):
) -> mx.MX_ARRAY_TREE: # -> dict[Any, Any | dict[Any, Any | dict[Any, Any] | list[Any]] | dict[Any, Any] | list[Any]]:
"""Return the submodules that do not contain other modules."""
def update(self, parameters: dict, strict: bool = ...) -> Module:
def update(self, parameters: dict[str, Any], strict: bool = ...) -> Module:
"""Replace the parameters of this Module with the provided ones in the
dict of dicts and lists.
@@ -30,6 +30,10 @@ class Conv1d(Module):
bias (bool, optional): If ``True`` add a learnable bias to the output.
Default: ``True``
"""
weight: mx.array
bias: mx.array | None
groups: int
def __init__(
self,
in_channels: int,
+4
View File
@@ -40,6 +40,10 @@ class Linear(Module):
bias (bool, optional): If set to ``False`` then the layer will
not use a bias. Default is ``True``.
"""
weight: mx.array
bias: mx.array | None
def __init__(self, input_dims: int, output_dims: int, bias: bool = ...) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
def to_quantized(
@@ -88,6 +88,9 @@ class RMSNorm(Module):
dims (int): The feature dimension of the input to normalize over
eps (float): A small additive constant for numerical stability
"""
weight: mx.array
def __init__(self, dims: int, eps: float = ...) -> None: ...
def __call__(self, x) -> mx.array: ...
+11 -8
View File
@@ -7,7 +7,10 @@ from typing import Any, Callable, Dict, List, Optional, Tuple, Union
from mlx.core import MX_ARRAY_TREE
def tree_map(
fn: Callable, tree: Any, *rest: Any, is_leaf: Optional[Callable] = ...
fn: Callable[..., Any],
tree: Any,
*rest: Any,
is_leaf: Callable[..., bool] | None = ...,
) -> Any:
"""Applies ``fn`` to the leaves of the Python tree ``tree`` and
returns a new collection with the results.
@@ -44,11 +47,11 @@ def tree_map(
"""
def tree_map_with_path(
fn: Callable,
fn: Callable[..., Any],
tree: Any,
*rest: Any,
is_leaf: Optional[Callable] = ...,
path: Optional[Any] = ...,
is_leaf: Callable[..., bool] | None = ...,
path: str | None = ...,
) -> Any:
"""Applies ``fn`` to the path and leaves of the Python tree ``tree`` and
returns a new collection with the results.
@@ -80,9 +83,9 @@ def tree_map_with_path(
def tree_flatten(
tree: Any,
prefix: str = ...,
is_leaf: Optional[Callable] = ...,
destination: Optional[Union[List[Tuple[str, Any]], Dict[str, Any]]] = ...,
) -> Union[List[Tuple[str, Any]], Dict[str, Any]]:
is_leaf: Callable[..., bool] | None = ...,
destination: list[tuple[str, Any]] | dict[str, Any] | None = ...,
) -> list[tuple[str, Any]] | dict[str, Any]:
"""Flattens a Python tree to a list of key, value tuples.
The keys are using the dot notation to define trees of arbitrary depth and
@@ -118,7 +121,7 @@ def tree_flatten(
the Python tree.
"""
def tree_unflatten(tree: Union[List[Tuple[str, Any]], Dict[str, Any]]) -> Any:
def tree_unflatten(tree: list[tuple[str, Any]] | dict[str, Any]) -> Any:
"""Recreate a Python tree from its flat representation.
.. code-block:: python
+66 -20
View File
@@ -30,7 +30,7 @@ def str2bool(string): # -> bool:
def setup_arg_parser(): # -> ArgumentParser:
"""Set up and return the argument parser."""
generation_stream = ...
generation_stream: mx.Stream
@contextlib.contextmanager
def wired_limit(
@@ -73,9 +73,11 @@ class GenerationResponse:
finish_reason: Optional[str] = ...
def maybe_quantize_kv_cache(
prompt_cache, quantized_kv_start, kv_group_size, kv_bits
): # -> None:
...
prompt_cache: Any,
quantized_kv_start: int | None,
kv_group_size: int | None,
kv_bits: int | None,
) -> None: ...
def generate_step(
prompt: mx.array,
model: nn.Module,
@@ -252,48 +254,92 @@ class BatchResponse:
texts: List[str]
stats: BatchStats
caches: Optional[List[List[Any]]]
def _left_pad_prompts(prompts: Any, max_length: Optional[int] = ...) -> mx.array: ...
def _right_pad_prompts(prompts: Any, max_length: Optional[int] = ...) -> mx.array: ...
def _make_cache(
model: Any, left_padding: Any, max_kv_size: Optional[int]
) -> List[Any]: ...
def _merge_caches(caches: Any) -> List[Any]: ...
@dataclass
class Batch:
uids: List[int]
y: mx.array
logprobs: mx.array
logprobs: List[mx.array] | mx.array
max_tokens: List[int]
num_tokens: List[int]
cache: List[Any]
def __len__(self): # -> int:
...
def filter(self, keep_idx: List[int]): # -> None:
...
def extend(self, other): # -> None:
...
samplers: List[Callable[[mx.array], mx.array] | None]
logits_processors: List[List[Callable[[mx.array, mx.array], mx.array]]]
tokens: List[mx.array]
def __len__(self) -> int: ...
def filter(self, keep_idx: List[int]) -> None: ...
def extend(self, other: "Batch") -> None: ...
def extract_cache(self, idx: int) -> List[Any]: ...
class BatchGenerator:
model: nn.Module
sampler: Callable[[mx.array], mx.array]
stop_tokens: set[int]
max_kv_size: Optional[int]
prefill_step_size: int
completion_batch_size: int
prefill_batch_size: int
unprocessed_prompts: List[Any]
active_batch: Optional[Batch]
prompt_progress_callback: Callable[[List[Tuple[int, int, int]]], None]
_stats: BatchStats
_next_count: int
@dataclass
class Response:
uid: int
token: int
logprobs: mx.array
finish_reason: Optional[str]
prompt_cache: Any
def __init__(
self,
model,
model: Any,
max_tokens: int = ...,
stop_tokens: Optional[set] = ...,
stop_tokens: Optional[set[int]] = ...,
sampler: Optional[Callable[[mx.array], mx.array]] = ...,
logits_processors: Optional[
List[Callable[[mx.array, mx.array], mx.array]]
] = ...,
completion_batch_size: int = ...,
prefill_batch_size: int = ...,
prefill_step_size: int = ...,
prompt_progress_callback: Optional[
Callable[[List[Tuple[int, int, int]]], None]
] = ...,
max_kv_size: Optional[int] = ...,
) -> None: ...
def close(self) -> None: ...
def insert(
self, prompts, max_tokens: Union[List[int], int, None] = ...
): # -> list[Any]:
...
def stats(self): # -> BatchStats:
...
def next(self): # -> list[Any]:
...
self,
prompts: Any,
max_tokens: Union[List[int], int, None] = ...,
caches: Any = ...,
samplers: Optional[List[Any]] = ...,
logits_processors: Optional[List[Any]] = ...,
) -> List[int]: ...
def remove(
self, uids: List[int], return_prompt_caches: bool = ...
) -> Optional[dict[int, List[Any]]]: ...
def stats(self) -> BatchStats: ...
def next(self) -> List[Response]: ...
def _process_prompts(self, prompts: List[Any]) -> Batch: ...
def _step(
self,
input_tokens: mx.array,
prompt_cache: List[Any],
samplers: Optional[List[Any]],
logits_processors: Optional[List[Any]],
tokens: List[mx.array],
) -> Tuple[mx.array, List[mx.array]]: ...
def batch_generate(
model,
+57 -62
View File
@@ -11,9 +11,12 @@ import mlx.core as mx
class Cache(Protocol):
keys: mx.array
values: mx.array
def update_and_fetch(self, keys: mx.array, values: mx.array) -> None: ...
offset: int
def update_and_fetch(
self, keys: mx.array, values: mx.array
) -> tuple[mx.array, mx.array]: ...
@property
def state(self) -> tuple[mx.array, mx.array]: ...
def state(self) -> tuple[mx.array | None, mx.array | None]: ...
@state.setter
def state(self, v) -> None: ...
@@ -85,16 +88,18 @@ def create_attention_mask(
) -> array | Literal["causal"] | None: ...
class _BaseCache(Cache):
keys: mx.array
values: mx.array
keys: mx.array | None
values: mx.array | None
offset: int
@property
def state(self) -> tuple[mx.array, mx.array]: ...
def state(self) -> tuple[mx.array | None, mx.array | None]: ...
@state.setter
def state(self, v) -> None: ...
@property
def meta_state(self) -> Literal[""]: ...
@meta_state.setter
def meta_state(self, v) -> None: ...
def trim(self, n: int) -> int: ...
def is_trimmable(self) -> Literal[False]: ...
@classmethod
def from_state(cls, state, meta_state) -> Self: ...
@@ -110,15 +115,13 @@ class ConcatenateKVCache(_BaseCache):
def update_and_fetch(self, keys, values): # -> tuple[Any | array, Any | array]:
...
@property
def state(self): # -> tuple[Any | array | None, Any | array | None]:
...
def state(self) -> tuple[mx.array | None, mx.array | None]: ...
@state.setter
def state(self, v): # -> None:
...
def is_trimmable(self): # -> Literal[True]:
...
def trim(self, n): # -> int:
...
def trim(self, n: int) -> int: ...
def make_mask(self, *args, **kwargs): # -> array | Literal['causal'] | None:
...
@@ -128,10 +131,7 @@ class QuantizedKVCache(_BaseCache):
def update_and_fetch(self, keys, values): # -> Any:
...
@property
def state(
self,
): # -> tuple[Any | tuple[array, array, array] | None, Any | tuple[array, array, array] | None] | Any:
...
def state(self) -> tuple[mx.array | None, mx.array | None]: ...
@state.setter
def state(self, v): # -> None:
...
@@ -143,8 +143,7 @@ class QuantizedKVCache(_BaseCache):
...
def is_trimmable(self): # -> Literal[True]:
...
def trim(self, n): # -> int:
...
def trim(self, n: int) -> int: ...
def make_mask(self, *args, **kwargs): # -> array | Literal['causal'] | None:
...
@@ -156,22 +155,30 @@ class KVCache(_BaseCache):
@property
def state(
self,
) -> tuple[array, array]: ...
) -> tuple[mx.array | None, mx.array | None]: ...
@state.setter
def state(self, v) -> None: ...
def is_trimmable(self): # -> Literal[True]:
...
def trim(self, n): # -> int:
...
def trim(self, n: int) -> int: ...
def to_quantized(
self, group_size: int = ..., bits: int = ...
) -> QuantizedKVCache: ...
def make_mask(self, *args, **kwargs): # -> array | Literal['causal'] | None:
...
def make_mask(
self, *args: Any, **kwargs: Any
) -> mx.array | Literal["causal"] | None: ...
class RotatingKVCache(_BaseCache):
step = ...
keys: mx.array | None
values: mx.array | None
keep: int
max_size: int
_idx: int
def __init__(self, max_size, keep=...) -> None: ...
def _trim(
self, trim_size: int, v: mx.array, append: mx.array | None = ...
) -> mx.array: ...
def update_and_fetch(
self, keys, values
): # -> tuple[array | Any, array | Any] | tuple[array | Any, array | Any | None]:
@@ -179,8 +186,7 @@ class RotatingKVCache(_BaseCache):
@property
def state(
self,
): # -> tuple[Any | array, Any | array] | tuple[Any | array | None, Any | array | None]:
...
) -> tuple[mx.array | None, mx.array | None]: ...
@state.setter
def state(self, v): # -> None:
...
@@ -192,8 +198,7 @@ class RotatingKVCache(_BaseCache):
...
def is_trimmable(self): # -> bool:
...
def trim(self, n): # -> int:
...
def trim(self, n: int) -> int: ...
def to_quantized(
self, group_size: int = ..., bits: int = ...
) -> QuantizedKVCache: ...
@@ -208,8 +213,7 @@ class ArraysCache(_BaseCache):
...
def __getitem__(self, idx): ...
@property
def state(self): # -> list[Any | array] | list[array]:
...
def state(self) -> tuple[mx.array | None, mx.array | None]: ...
@state.setter
def state(self, v): # -> None:
...
@@ -223,8 +227,7 @@ class ArraysCache(_BaseCache):
In-place extend this cache with the other cache.
"""
def make_mask(self, N: int): # -> array | None:
...
def make_mask(self, N: int) -> mx.array | None: ...
class MambaCache(ArraysCache):
def __init__(self, left_padding: Optional[List[int]] = ...) -> None: ...
@@ -235,8 +238,7 @@ class ChunkedKVCache(KVCache):
...
def update_and_fetch(self, keys, values): # -> tuple[array, array]:
...
def trim(self, n): # -> int:
...
def trim(self, n: int) -> int: ...
@property
def meta_state(self): # -> tuple[str, ...]:
...
@@ -249,10 +251,9 @@ class CacheList(_BaseCache):
def __getitem__(self, idx): ...
def is_trimmable(self): # -> bool:
...
def trim(self, n): ...
def trim(self, n: int) -> int: ...
@property
def state(self): # -> list[Any]:
...
def state(self) -> list[tuple[mx.array | None, mx.array | None]]: ...
@state.setter
def state(self, v): # -> None:
...
@@ -267,29 +268,14 @@ class CacheList(_BaseCache):
"""
class BatchKVCache(_BaseCache):
step = ...
def __init__(self, left_padding: List[int]) -> None:
"""
The BatchKV cache expects inputs to be left-padded.
E.g. the following prompts:
[1, 3, 5]
[7]
[2, 6, 8, 9]
Should be padded like so:
[0, 1, 3, 5]
[0, 0, 0, 7]
[2, 6, 8, 9]
And ``left_padding`` specifies the amount of padding for each.
In this case, ``left_padding = [1, 3, 0]``.
"""
def update_and_fetch(self, keys, values): # -> tuple[array | Any, array | Any]:
...
step: int
keys: array | None
values: array | None
offset: array
left_padding: array
_idx: int
def __init__(self, left_padding: List[int]) -> None: ...
def update_and_fetch(self, keys: array, values: array) -> tuple[array, array]: ...
@property
def state(
self,
@@ -315,12 +301,21 @@ class BatchKVCache(_BaseCache):
"""
class BatchRotatingKVCache(_BaseCache):
step = ...
def __init__(self, max_size, left_padding: List[int]) -> None: ...
def update_and_fetch(
self, keys, values
): # -> tuple[array | Any, array | Any] | tuple[array | Any, array | Any | None]:
...
step: int
keys: array | None
values: array | None
offset: array
left_padding: array
max_size: int
_idx: int
_offset: int
rotated: bool
_lengths: array | None
def __init__(self, max_size: int, left_padding: List[int]) -> None: ...
def _trim(self, trim_size: int, v: array, append: array | None = ...) -> array: ...
def _update_in_place(self, keys: array, values: array) -> tuple[array, array]: ...
def _update_concat(self, keys: array, values: array) -> tuple[array, array]: ...
def update_and_fetch(self, keys: array, values: array) -> tuple[array, array]: ...
@property
def state(
self,
+5 -1
View File
@@ -5,6 +5,7 @@ from typing import Any, Dict, Optional
import mlx.core as mx
import mlx.nn as nn
from mlx_lm.models.mla import MultiLinear
from .base import BaseModelArgs
from .switch_layers import SwitchGLU
@@ -60,7 +61,10 @@ class DeepseekV3Attention(nn.Module):
q_b_proj: nn.Linear
kv_a_proj_with_mqa: nn.Linear
kv_a_layernorm: nn.RMSNorm
kv_b_proj: nn.Linear
# kv_b_proj: nn.Linear
embed_q: MultiLinear
unembed_out: MultiLinear
o_proj: nn.Linear
rope: Any
@@ -0,0 +1,35 @@
from typing import Optional
import mlx.core as mx
def compute_g(A_log: mx.array, a: mx.array, dt_bias: mx.array) -> mx.array: ...
def gated_delta_update(
q: mx.array,
k: mx.array,
v: mx.array,
a: mx.array,
b: mx.array,
A_log: mx.array,
dt_bias: mx.array,
state: Optional[mx.array] = ...,
mask: Optional[mx.array] = ...,
use_kernel: bool = ...,
) -> tuple[mx.array, mx.array]: ...
def gated_delta_ops(
q: mx.array,
k: mx.array,
v: mx.array,
g: mx.array,
beta: mx.array,
state: Optional[mx.array] = ...,
mask: Optional[mx.array] = ...,
) -> tuple[mx.array, mx.array]: ...
def gated_delta_kernel(
q: mx.array,
k: mx.array,
v: mx.array,
g: mx.array,
beta: mx.array,
state: mx.array,
mask: Optional[mx.array] = ...,
) -> tuple[mx.array, mx.array]: ...
+153
View File
@@ -0,0 +1,153 @@
from dataclasses import dataclass
from typing import Any, Dict, Optional
import mlx.core as mx
import mlx.nn as nn
from .base import BaseModelArgs
from .switch_layers import SwitchGLU
@dataclass
class ModelArgs(BaseModelArgs):
model_type: str
vocab_size: int
hidden_size: int
intermediate_size: int
max_position_embeddings: int
moe_intermediate_size: int
norm_topk_prob: bool
num_attention_heads: int
n_group: int
head_dim: int
topk_group: int
n_shared_experts: int
n_routed_experts: int
routed_scaling_factor: float
num_experts_per_tok: int
first_k_dense_replace: int
num_hidden_layers: int
num_key_value_heads: int
rms_norm_eps: float
rope_theta: float
rope_scaling: Optional[Dict[str, Any]]
use_qk_norm: bool
tie_word_embeddings: bool
attention_bias: bool
partial_rotary_factor: float
scoring_func: str
topk_method: str
class Attention(nn.Module):
n_heads: int
n_kv_heads: int
scale: float
q_proj: nn.Linear
k_proj: nn.Linear
v_proj: nn.Linear
o_proj: nn.Linear
use_qk_norm: bool
q_norm: nn.RMSNorm
k_norm: nn.RMSNorm
rope: nn.RoPE
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class MLP(nn.Module):
config: ModelArgs
hidden_size: int
intermediate_size: int
gate_proj: nn.Linear
up_proj: nn.Linear
down_proj: nn.Linear
def __init__(
self,
config: ModelArgs,
hidden_size: Optional[int] = None,
intermediate_size: Optional[int] = None,
) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class MoEGate(nn.Module):
config: ModelArgs
top_k: int
norm_topk_prob: bool
n_routed_experts: int
routed_scaling_factor: float
n_group: int
topk_group: int
weight: mx.array
e_score_correction_bias: mx.array
def __init__(self, config: ModelArgs) -> None: ...
def __call__(self, x: mx.array) -> tuple[mx.array, mx.array]: ...
class MoE(nn.Module):
config: ModelArgs
num_experts_per_tok: int
switch_mlp: SwitchGLU
gate: MoEGate
shared_experts: MLP
sharding_group: Optional[mx.distributed.Group]
def __init__(self, config: ModelArgs) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class DecoderLayer(nn.Module):
self_attn: Attention
mlp: MLP | MoE
input_layernorm: nn.RMSNorm
post_attention_layernorm: nn.RMSNorm
def __init__(self, config: ModelArgs, layer_idx: int) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class LanguageModel(nn.Module):
vocab_size: int
embed_tokens: nn.Embedding
layers: list[DecoderLayer]
norm: nn.RMSNorm
pipeline_rank: int
pipeline_size: int
start_idx: int
end_idx: Optional[int]
num_layers: int
def __init__(self, config: ModelArgs) -> None: ...
def __call__(
self,
x: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
@property
def pipeline_layers(self) -> list[DecoderLayer]: ...
class Model(nn.Module):
args: ModelArgs
model_type: str
model: LanguageModel
lm_head: nn.Linear
def __init__(self, config: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
def shard(self, group: Optional[mx.distributed.Group] = None) -> None: ...
@property
def layers(self) -> list[DecoderLayer]: ...
@property
def cast_predicate(self) -> Any: ...
@@ -0,0 +1,46 @@
"""Type stubs for mlx_lm.models.glm_moe_dsa"""
from dataclasses import dataclass
from typing import Any, Dict, Optional
from .base import BaseModelArgs
from .deepseek_v32 import Model as DSV32Model
@dataclass
class ModelArgs(BaseModelArgs):
model_type: str
vocab_size: int
hidden_size: int
index_head_dim: int
index_n_heads: int
index_topk: int
intermediate_size: int
moe_intermediate_size: int
num_hidden_layers: int
num_attention_heads: int
num_key_value_heads: int
n_shared_experts: Optional[int]
n_routed_experts: Optional[int]
routed_scaling_factor: float
kv_lora_rank: int
q_lora_rank: int
qk_rope_head_dim: int
v_head_dim: int
qk_nope_head_dim: int
topk_method: str
scoring_func: str
norm_topk_prob: bool
n_group: int
topk_group: int
num_experts_per_tok: int
moe_layer_freq: int
first_k_dense_replace: int
max_position_embeddings: int
rms_norm_eps: float
rope_parameters: Dict[str, Any]
attention_bias: bool
rope_scaling: Dict[str, Any] | None
rope_theta: float | None
class Model(DSV32Model):
def __init__(self, config: ModelArgs) -> None: ...
+154
View File
@@ -0,0 +1,154 @@
from dataclasses import dataclass
from typing import Any, List, Optional, Tuple
import mlx.core as mx
import mlx.nn as nn
from .cache import ArraysCache, KVCache
from .switch_layers import SwitchMLP
@dataclass
class ModelArgs:
model_type: str
vocab_size: int
hidden_size: int
intermediate_size: int
num_hidden_layers: int
max_position_embeddings: int
num_attention_heads: int
num_key_value_heads: int
attention_bias: bool
mamba_num_heads: int
mamba_head_dim: int
mamba_proj_bias: bool
ssm_state_size: int
conv_kernel: int
n_groups: int
mlp_bias: bool
layer_norm_epsilon: float
use_bias: bool
use_conv_bias: bool
hybrid_override_pattern: List[str]
head_dim: Optional[int]
moe_intermediate_size: Optional[int]
moe_shared_expert_intermediate_size: Optional[int]
n_group: Optional[int]
n_routed_experts: Optional[int]
n_shared_experts: Optional[int]
topk_group: Optional[int]
num_experts_per_tok: Optional[int]
norm_topk_prob: Optional[bool]
routed_scaling_factor: Optional[float]
time_step_limit: Optional[Tuple[float, float]]
time_step_min: Optional[float]
time_step_max: Optional[float]
@classmethod
def from_dict(cls, params: dict[str, Any]) -> ModelArgs: ...
def __post_init__(self) -> None: ...
class NemotronHMamba2Mixer(nn.Module):
num_heads: int
hidden_size: int
ssm_state_size: int
conv_kernel_size: int
intermediate_size: int
n_groups: int
head_dim: int
conv_dim: int
conv1d: nn.Conv1d
in_proj: nn.Linear
dt_bias: mx.array
A_log: mx.array
D: mx.array
norm: nn.RMSNorm
heads_per_group: int
out_proj: nn.Linear
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
hidden_states: mx.array,
mask: Optional[mx.array],
cache: Optional[ArraysCache] = None,
) -> mx.array: ...
class NemotronHAttention(nn.Module):
hidden_size: int
num_heads: int
head_dim: int
num_key_value_heads: int
scale: float
q_proj: nn.Linear
k_proj: nn.Linear
v_proj: nn.Linear
o_proj: nn.Linear
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[KVCache] = None,
) -> mx.array: ...
class NemotronHMLP(nn.Module):
up_proj: nn.Linear
down_proj: nn.Linear
def __init__(
self, args: ModelArgs, intermediate_size: Optional[int] = None
) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class NemotronHMoE(nn.Module):
num_experts_per_tok: int
switch_mlp: SwitchMLP
shared_experts: NemotronHMLP
def __init__(self, config: ModelArgs) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class NemotronHBlock(nn.Module):
block_type: str
norm: nn.RMSNorm
mixer: NemotronHMamba2Mixer | NemotronHAttention | NemotronHMLP | NemotronHMoE
def __init__(self, args: ModelArgs, block_type: str) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class NemotronHModel(nn.Module):
embeddings: nn.Embedding
layers: list[NemotronHBlock]
norm_f: nn.RMSNorm
fa_idx: int
ssm_idx: int
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
class Model(nn.Module):
args: ModelArgs
backbone: NemotronHModel
lm_head: nn.Linear
model_type: str
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
@property
def layers(self) -> list[NemotronHBlock]: ...
def make_cache(self) -> list[ArraysCache | KVCache]: ...
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
+153
View File
@@ -0,0 +1,153 @@
from dataclasses import dataclass
from typing import Any, Optional
import mlx.core as mx
import mlx.nn as nn
from .cache import ArraysCache, KVCache
from .qwen3_next import (
Qwen3NextAttention as Attention,
Qwen3NextMLP as MLP,
Qwen3NextRMSNormGated as RMSNormGated,
Qwen3NextSparseMoeBlock,
)
SparseMoeBlock = Qwen3NextSparseMoeBlock
from .switch_layers import SwitchGLU
@dataclass
class TextModelArgs:
model_type: str
hidden_size: int
intermediate_size: int
num_hidden_layers: int
num_attention_heads: int
rms_norm_eps: float
vocab_size: int
num_key_value_heads: int
max_position_embeddings: int
linear_num_value_heads: int
linear_num_key_heads: int
linear_key_head_dim: int
linear_value_head_dim: int
linear_conv_kernel_dim: int
tie_word_embeddings: bool
attention_bias: bool
head_dim: Optional[int]
full_attention_interval: int
num_experts: int
num_experts_per_tok: int
decoder_sparse_step: int
shared_expert_intermediate_size: int
moe_intermediate_size: int
norm_topk_prob: bool
rope_parameters: Optional[dict[str, Any]]
partial_rotary_factor: float
rope_theta: float
rope_scaling: Optional[dict[str, Any]]
@classmethod
def from_dict(cls, params: dict[str, Any]) -> TextModelArgs: ...
def __post_init__(self) -> None: ...
class GatedDeltaNet(nn.Module):
hidden_size: int
num_v_heads: int
num_k_heads: int
head_k_dim: int
head_v_dim: int
key_dim: int
value_dim: int
conv_kernel_size: int
conv_dim: int
conv1d: nn.Conv1d
in_proj_qkv: nn.Linear
in_proj_z: nn.Linear
in_proj_b: nn.Linear
in_proj_a: nn.Linear
dt_bias: mx.array
A_log: mx.array
norm: RMSNormGated
out_proj: nn.Linear
def __init__(self, config: TextModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class DecoderLayer(nn.Module):
is_linear: bool
linear_attn: GatedDeltaNet
self_attn: Attention
input_layernorm: nn.RMSNorm
post_attention_layernorm: nn.RMSNorm
mlp: MLP | SparseMoeBlock
def __init__(self, args: TextModelArgs, layer_idx: int) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class Qwen3_5TextModel(nn.Module):
embed_tokens: nn.Embedding
layers: list[DecoderLayer]
norm: nn.RMSNorm
ssm_idx: int
fa_idx: int
def __init__(self, args: TextModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
input_embeddings: Optional[mx.array] = None,
) -> mx.array: ...
class TextModel(nn.Module):
args: TextModelArgs
model_type: str
model: Qwen3_5TextModel
lm_head: nn.Linear
def __init__(self, args: TextModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
input_embeddings: Optional[mx.array] = None,
) -> mx.array: ...
@property
def layers(self) -> list[DecoderLayer]: ...
def make_cache(self) -> list[ArraysCache | KVCache]: ...
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
@dataclass
class ModelArgs:
model_type: str
text_config: dict[str, Any]
@classmethod
def from_dict(cls, params: dict[str, Any]) -> ModelArgs: ...
class Model(nn.Module):
args: ModelArgs
model_type: str
language_model: TextModel
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
input_embeddings: Optional[mx.array] = None,
) -> mx.array: ...
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
@property
def layers(self) -> list[DecoderLayer]: ...
def make_cache(self) -> list[ArraysCache | KVCache]: ...
@@ -0,0 +1,19 @@
from dataclasses import dataclass
from typing import Any, Optional
import mlx.core as mx
import mlx.nn as nn
from .cache import ArraysCache, KVCache
from .qwen3_5 import DecoderLayer, Model as Qwen3_5Model, TextModel
@dataclass
class ModelArgs:
model_type: str
text_config: dict[str, Any]
@classmethod
def from_dict(cls, params: dict[str, Any]) -> ModelArgs: ...
class Model(Qwen3_5Model):
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
+127
View File
@@ -0,0 +1,127 @@
"""Type stubs for mlx_lm.models.qwen3_next"""
from typing import Any, Optional
import mlx.core as mx
import mlx.nn as nn
from .cache import ArraysCache, KVCache
from .switch_layers import SwitchGLU
class Qwen3NextRMSNormGated(nn.Module):
eps: float
weight: mx.array
def __init__(self, hidden_size: int, eps: float = ...) -> None: ...
def __call__(
self, hidden_states: mx.array, gate: mx.array | None = None
) -> mx.array: ...
class Qwen3NextMLP(nn.Module):
gate_proj: nn.Linear
down_proj: nn.Linear
up_proj: nn.Linear
def __init__(self, dim: int, hidden_dim: int) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class Qwen3NextGatedDeltaNet(nn.Module):
hidden_size: int
num_v_heads: int
num_k_heads: int
head_k_dim: int
head_v_dim: int
key_dim: int
value_dim: int
conv_kernel_size: int
conv_dim: int
conv1d: nn.Conv1d
in_proj_qkvz: nn.Linear
in_proj_ba: nn.Linear
dt_bias: mx.array
A_log: mx.array
out_proj: nn.Linear
def __init__(self, config: Any) -> None: ...
def __call__(
self,
inputs: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class Qwen3NextAttention(nn.Module):
num_attention_heads: int
num_key_value_heads: int
head_dim: int
scale: float
q_proj: nn.Linear
k_proj: nn.Linear
v_proj: nn.Linear
o_proj: nn.Linear
def __init__(self, args: Any) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class Qwen3NextSparseMoeBlock(nn.Module):
norm_topk_prob: bool
num_experts: int
top_k: int
gate: nn.Linear
switch_mlp: SwitchGLU
shared_expert: Qwen3NextMLP
shared_expert_gate: nn.Linear
def __init__(self, args: Any) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class Qwen3NextDecoderLayer(nn.Module):
is_linear: bool
linear_attn: Qwen3NextGatedDeltaNet
self_attn: Qwen3NextAttention
input_layernorm: nn.RMSNorm
post_attention_layernorm: nn.RMSNorm
mlp: Qwen3NextMLP | Qwen3NextSparseMoeBlock
def __init__(self, args: Any, layer_idx: int) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class Qwen3NextModel(nn.Module):
embed_tokens: nn.Embedding
layers: list[Qwen3NextDecoderLayer]
norm: nn.RMSNorm
ssm_idx: int
fa_idx: int
def __init__(self, args: Any) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
class Model(nn.Module):
model_type: str
model: Qwen3NextModel
lm_head: nn.Linear
def __init__(self, args: Any) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
@property
def layers(self) -> list[Qwen3NextDecoderLayer]: ...
def make_cache(self) -> list[ArraysCache | KVCache]: ...
+51
View File
@@ -0,0 +1,51 @@
from typing import Any, Optional
import mlx.nn as nn
class YarnRoPE(nn.Module):
def __init__(
self,
dims: int,
traditional: bool = ...,
max_position_embeddings: int = ...,
base: float = ...,
scaling_factor: float = ...,
original_max_position_embeddings: int = ...,
beta_fast: float = ...,
beta_slow: float = ...,
mscale: float = ...,
mscale_all_dim: float = ...,
) -> None: ...
class Llama3RoPE(nn.Module):
def __init__(
self,
dims: int,
traditional: bool = ...,
max_position_embeddings: int = ...,
base: float = ...,
scaling_factor: float = ...,
original_max_position_embeddings: int = ...,
low_freq_factor: float = ...,
high_freq_factor: float = ...,
) -> None: ...
class SuScaledRoPE(nn.Module):
def __init__(
self,
dims: int,
traditional: bool = ...,
max_position_embeddings: int = ...,
base: float = ...,
short_factor: Any = ...,
long_factor: Any = ...,
original_max_position_embeddings: int = ...,
) -> None: ...
def initialize_rope(
dims: int,
base: float = ...,
traditional: bool = ...,
scaling_config: Optional[dict[str, Any]] = ...,
max_position_embeddings: Optional[int] = ...,
) -> nn.Module: ...
+151
View File
@@ -0,0 +1,151 @@
from dataclasses import dataclass
from typing import Any, Dict, List, Optional
import mlx.core as mx
import mlx.nn as nn
from .base import BaseModelArgs
from .switch_layers import SwitchGLU
@dataclass
class ModelArgs(BaseModelArgs):
model_type: str
hidden_size: int
num_hidden_layers: int
vocab_size: int
num_attention_heads: int
num_attention_groups: int
head_dim: int
intermediate_size: int
rms_norm_eps: float
rope_theta: float
rope_scaling: Optional[Dict[str, Any]]
max_position_embeddings: int
sliding_window: int
layer_types: Optional[List[str]]
yarn_only_types: Optional[List[str]]
partial_rotary_factors: Optional[List[float]]
attention_other_setting: Optional[Dict[str, Any]]
use_head_wise_attn_gate: bool
moe_num_experts: int
moe_top_k: int
moe_intermediate_size: int
share_expert_dim: int
moe_layers_enum: Optional[str]
moe_router_scaling_factor: float
norm_expert_weight: bool
swiglu_limits: Optional[List[float]]
swiglu_limits_shared: Optional[List[float]]
tie_word_embeddings: bool
class Step3p5MLP(nn.Module):
hidden_size: int
intermediate_size: int
gate_proj: nn.Linear
up_proj: nn.Linear
down_proj: nn.Linear
limit: Optional[float]
def __init__(
self, args: ModelArgs, intermediate_size: int, swiglu_limit: float = 0
) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class Step3p5MoEGate(nn.Module):
top_k: int
n_routed_experts: int
routed_scaling_factor: float
norm_topk_prob: bool
gate: nn.Linear
router_bias: mx.array
def __init__(self, args: ModelArgs) -> None: ...
def __call__(self, x: mx.array) -> tuple[mx.array, mx.array]: ...
class Step3p5MoE(nn.Module):
gate: Step3p5MoEGate
switch_mlp: SwitchGLU
share_expert: Step3p5MLP
sharding_group: Optional[mx.distributed.Group]
def __init__(self, args: ModelArgs, layer_idx: int) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class Step3p5Attention(nn.Module):
is_sliding: bool
num_heads: int
num_kv_heads: int
head_dim: int
scale: float
q_proj: nn.Linear
k_proj: nn.Linear
v_proj: nn.Linear
o_proj: nn.Linear
q_norm: nn.Module
k_norm: nn.Module
use_head_wise_attn_gate: bool
g_proj: nn.Linear
rope: nn.Module
def __init__(self, args: ModelArgs, layer_idx: int) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class Step3p5DecoderLayer(nn.Module):
self_attn: Step3p5Attention
is_sliding: bool
is_moe_layer: bool
mlp: Step3p5MLP | Step3p5MoE
input_layernorm: nn.Module
post_attention_layernorm: nn.Module
def __init__(self, args: ModelArgs, layer_idx: int) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class Step3p5Model(nn.Module):
args: ModelArgs
vocab_size: int
num_layers: int
embed_tokens: nn.Embedding
layers: list[Step3p5DecoderLayer]
norm: nn.Module
_swa_idx: Optional[int]
_full_idx: Optional[int]
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
x: mx.array,
cache: Optional[List[Any]] = None,
) -> mx.array: ...
class Model(nn.Module):
args: ModelArgs
model_type: str
model: Step3p5Model
lm_head: nn.Linear
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[List[Any]] = None,
) -> mx.array: ...
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
def shard(self, group: Optional[mx.distributed.Group] = None) -> None: ...
@property
def layers(self) -> list[Step3p5DecoderLayer]: ...
def make_cache(self) -> list[Any]: ...
@property
def cast_predicate(self) -> Any: ...
@property
def quant_predicate(self) -> Any: ...
@@ -73,6 +73,9 @@ class SwitchGLU(nn.Module):
def __call__(self, x, indices) -> mx.array: ...
class SwitchMLP(nn.Module):
fc1: SwitchLinear
fc2: SwitchLinear
def __init__(
self,
input_dims: int,
+1 -1
View File
@@ -48,7 +48,7 @@ def make_logits_processors(
logit_bias: Optional[Dict[int, float]] = ...,
repetition_penalty: Optional[float] = ...,
repetition_context_size: Optional[int] = ...,
): # -> list[Any]:
) -> list[Callable[[mx.array, mx.array], mx.array]]:
"""
Make logits processors for use with ``generate_step``.
+10 -5
View File
@@ -39,11 +39,11 @@ class StreamingDetokenizer:
"""
__slots__ = ...
def reset(self): ...
def add_token(self, token): ...
def finalize(self): ...
def reset(self) -> None: ...
def add_token(self, token: int) -> None: ...
def finalize(self) -> None: ...
@property
def last_segment(self):
def last_segment(self) -> str:
"""Return the last segment of readable text since last time this property was accessed."""
class NaiveStreamingDetokenizer(StreamingDetokenizer):
@@ -108,16 +108,21 @@ class TokenizerWrapper:
_tokenizer: PreTrainedTokenizerFast
eos_token_id: int | None
eos_token: str | None
eos_token_ids: list[int] | set[int] | None
bos_token_id: int | None
bos_token: str | None
vocab_size: int
all_special_tokens: list[str]
think_start: str | None
think_end: str | None
think_start_id: int | None
think_end_id: int | None
def __init__(
self,
tokenizer: Any,
detokenizer_class: Any = ...,
eos_token_ids: list[int] | None = ...,
eos_token_ids: list[int] | set[int] | None = ...,
chat_template: Any = ...,
tool_parser: Any = ...,
tool_call_start: str | None = ...,
View File
+12
View File
@@ -0,0 +1,12 @@
from typing import Any
def get_message_json(
model_name: str,
prompt: str,
role: str = "user",
skip_image_token: bool = False,
skip_audio_token: bool = False,
num_images: int = 0,
num_audios: int = 0,
**kwargs: Any,
) -> dict[str, Any]: ...
+15
View File
@@ -0,0 +1,15 @@
from pathlib import Path
from typing import Any
class ImageProcessor:
def preprocess(
self, images: list[dict[str, Any]], **kwargs: Any
) -> dict[str, Any]: ...
def __call__(self, **kwargs: Any) -> dict[str, Any]: ...
def load_image_processor(
model_path: str | Path, **kwargs: Any
) -> ImageProcessor | None: ...
def load_processor(
model_path: str | Path, add_detokenizer: bool = ..., **kwargs: Any
) -> ImageProcessor: ...
+8
View File
@@ -0,0 +1,8 @@
from typing import Any, Self
class safe_open:
def __init__(self, filename: str, framework: str = "pt") -> None: ...
def __enter__(self) -> Self: ...
def __exit__(self, *args: Any) -> None: ...
def keys(self) -> list[str]: ...
def get_tensor(self, name: str) -> Any: ...
+75
View File
@@ -119,3 +119,78 @@ From .cursorrules:
## Testing
Tests use pytest-asyncio with `asyncio_mode = "auto"`. Tests are in `tests/` subdirectories alongside the code they test. The `EXO_TESTS=1` env var is set during tests.
## Dashboard UI Testing & Screenshots
### Building and Running the Dashboard
```bash
# Build the dashboard (must be done before running exo)
cd dashboard && npm install && npm run build && cd ..
# Start exo (serves the dashboard at http://localhost:52415)
uv run exo &
sleep 8 # Wait for server to start
```
### Taking Headless Screenshots with Playwright
Use Playwright with headless Chromium for programmatic screenshots — no manual browser interaction needed.
**Setup (one-time):**
```bash
npx --yes playwright install chromium
cd /tmp && npm init -y && npm install playwright
```
**Taking screenshots:**
```javascript
// Run from /tmp where playwright is installed: cd /tmp && node -e "..."
const { chromium } = require('playwright');
(async () => {
const browser = await chromium.launch({ headless: true });
const page = await browser.newPage({ viewport: { width: 1280, height: 800 } });
await page.goto('http://localhost:52415', { waitUntil: 'networkidle' });
await page.waitForTimeout(2000);
// Inject test data into localStorage if needed (e.g., recent models)
await page.evaluate(() => {
localStorage.setItem('exo-recent-models', JSON.stringify([
{ modelId: 'mlx-community/Qwen3-30B-A3B-4bit', launchedAt: Date.now() },
]));
});
await page.reload({ waitUntil: 'networkidle' });
await page.waitForTimeout(2000);
// Interact with UI elements
await page.locator('text=SELECT MODEL').click();
await page.waitForTimeout(1000);
// Take screenshot
await page.screenshot({ path: '/tmp/screenshot.png', fullPage: false });
await browser.close();
})();
```
### Uploading Images to GitHub PRs
GitHub's API doesn't support direct image upload for PR comments. Workaround:
1. **Commit images to the branch** (temporarily):
```bash
cp /tmp/screenshot.png .
git add screenshot.png
git commit -m "temp: add screenshots for PR"
git push origin <branch>
COMMIT_SHA=$(git rev-parse HEAD)
```
2. **Post PR comment** referencing the raw image URL (uses permanent commit SHA so images survive deletion):
```bash
gh pr comment <PR_NUMBER> --body "![Screenshot](https://raw.githubusercontent.com/exo-explore/exo/${COMMIT_SHA}/screenshot.png)"
```
3. **Remove the images** from the branch:
```bash
git rm screenshot.png
git commit -m "chore: remove temporary screenshot files"
git push origin <branch>
```
The images still render in the PR comment because they reference the permanent commit SHA.
+124 -2
View File
@@ -11,9 +11,18 @@ To run EXO from source:
```bash
brew install uv
```
- [macmon](https://github.com/vladkens/macmon) (for hardware monitoring on Apple Silicon)
- [rust](https://github.com/rust-lang/rustup) (to build Rust bindings, nightly for now)
```bash
brew install macmon
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
rustup toolchain install nightly
```
- [macmon](https://github.com/vladkens/macmon) (for hardware monitoring on Apple Silicon)
Use the pinned fork revision used by this repo instead of Homebrew `macmon`.
```bash
cargo install --git https://github.com/swiftraccoon/macmon \
--rev 9154d234f763fbeffdcb4135d0bbbaf80609699b \
macmon \
--force
```
```bash
@@ -39,6 +48,119 @@ Write pure functions where possible. When adding new code, prefer Rust unless th
Run `nix fmt` to auto-format your code before submitting.
## Model Cards
EXO uses TOML-based model cards to define model metadata and capabilities. Model cards are stored in:
- `resources/inference_model_cards/` for text generation models
- `resources/image_model_cards/` for image generation models
- `~/.exo/custom_model_cards/` for user-added custom models
### Adding a Model Card
To add a new model, create a TOML file with the following structure:
```toml
model_id = "mlx-community/Llama-3.2-1B-Instruct-4bit"
n_layers = 16
hidden_size = 2048
supports_tensor = true
tasks = ["TextGeneration"]
family = "llama"
quantization = "4bit"
base_model = "Llama 3.2 1B"
capabilities = ["text"]
[storage_size]
in_bytes = 729808896
```
### Required Fields
- `model_id`: Hugging Face model identifier
- `n_layers`: Number of transformer layers
- `hidden_size`: Hidden dimension size
- `supports_tensor`: Whether the model supports tensor parallelism
- `tasks`: List of supported tasks (`TextGeneration`, `TextToImage`, `ImageToImage`)
- `family`: Model family (e.g., "llama", "deepseek", "qwen")
- `quantization`: Quantization level (e.g., "4bit", "8bit", "bf16")
- `base_model`: Human-readable base model name
- `capabilities`: List of capabilities (e.g., `["text"]`, `["text", "thinking"]`)
### Optional Fields
- `components`: For multi-component models (like image models with separate text encoders and transformers)
- `uses_cfg`: Whether the model uses classifier-free guidance (for image models)
- `trust_remote_code`: Whether to allow remote code execution (defaults to `false` for security)
### Capabilities
The `capabilities` field defines what the model can do:
- `text`: Standard text generation
- `thinking`: Model supports chain-of-thought reasoning
- `thinking_toggle`: Thinking can be enabled/disabled via `enable_thinking` parameter
- `image_edit`: Model supports image-to-image editing (FLUX.1-Kontext)
### Security Note
By default, `trust_remote_code` is set to `false` for security. Only enable it if the model explicitly requires remote code execution from the Hugging Face hub.
## API Adapters
EXO supports multiple API formats through an adapter pattern. Adapters convert API-specific request formats to the internal `TextGenerationTaskParams` format and convert internal token chunks back to API-specific responses.
### Adapter Architecture
All adapters live in `src/exo/master/adapters/` and follow the same pattern:
1. Convert API-specific requests to `TextGenerationTaskParams`
2. Handle both streaming and non-streaming response generation
3. Convert internal `TokenChunk` objects to API-specific formats
4. Manage error handling and edge cases
### Existing Adapters
- `chat_completions.py`: OpenAI Chat Completions API
- `claude.py`: Anthropic Claude Messages API
- `responses.py`: OpenAI Responses API
- `ollama.py`: Ollama API (for OpenWebUI compatibility)
### Adding a New API Adapter
To add support for a new API format:
1. Create a new adapter file in `src/exo/master/adapters/`
2. Implement a request conversion function:
```python
def your_api_request_to_text_generation(
request: YourAPIRequest,
) -> TextGenerationTaskParams:
# Convert API request to internal format
pass
```
3. Implement streaming response generation:
```python
async def generate_your_api_stream(
command_id: CommandId,
chunk_stream: AsyncGenerator[TokenChunk | ErrorChunk | ToolCallChunk, None],
) -> AsyncGenerator[str, None]:
# Convert internal chunks to API-specific streaming format
pass
```
4. Implement non-streaming response collection:
```python
async def collect_your_api_response(
command_id: CommandId,
chunk_stream: AsyncGenerator[TokenChunk | ErrorChunk | ToolCallChunk, None],
) -> AsyncGenerator[str]:
# Collect all chunks and return single response
pass
```
5. Register the adapter endpoints in `src/exo/master/api.py`
The adapter pattern keeps API-specific logic isolated from core inference systems. Internal systems (worker, runner, event sourcing) only see `TextGenerationTaskParams` and `TokenChunk` objects - no API-specific types cross the adapter boundary.
For detailed API documentation, see [docs/api.md](docs/api.md).
## Testing
EXO relies heavily on manual testing at this point in the project, but this is evolving. Before submitting a change, test both before and after to demonstrate how your change improves behavior. Do the best you can with the hardware you have available - if you need help testing, ask and we'll do our best to assist. Add automated tests where possible - we're actively working to substantially improve our automated testing story.
Generated
+35 -225
View File
@@ -141,12 +141,6 @@ version = "0.3.9"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "76a2e8124351fda1ef8aaaa3bbd7ebbcb486bbcd4225aca0aa0d84bb2db8fecb"
[[package]]
name = "arrayvec"
version = "0.7.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7c02d123df017efcdfbd739ef81735b36c5ba83ec3c59c80a9d7ecc718f92e50"
[[package]]
name = "asn1-rs"
version = "0.7.1"
@@ -222,6 +216,28 @@ dependencies = [
"windows-sys 0.61.2",
]
[[package]]
name = "async-stream"
version = "0.3.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0b5a71a6f37880a80d1d7f19efd781e4b5de42c88f0722cc13bcb6cc2cfe8476"
dependencies = [
"async-stream-impl",
"futures-core",
"pin-project-lite",
]
[[package]]
name = "async-stream-impl"
version = "0.3.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "c7c24de15d275a1ecfd47a380fb4d5ec9bfe0933f309ed5e705b775596a3574d"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.111",
]
[[package]]
name = "async-trait"
version = "0.1.89"
@@ -304,19 +320,6 @@ version = "1.8.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "55248b47b0caf0546f7988906588779981c43bb1bc9d0c44087278f80cdb44ba"
[[package]]
name = "bigdecimal"
version = "0.4.9"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "560f42649de9fa436b73517378a147ec21f6c997a546581df4b4b31677828934"
dependencies = [
"autocfg",
"libm",
"num-bigint",
"num-integer",
"num-traits",
]
[[package]]
name = "bimap"
version = "0.6.3"
@@ -353,31 +356,6 @@ dependencies = [
"generic-array",
]
[[package]]
name = "bon"
version = "3.8.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ebeb9aaf9329dff6ceb65c689ca3db33dbf15f324909c60e4e5eef5701ce31b1"
dependencies = [
"bon-macros",
"rustversion",
]
[[package]]
name = "bon-macros"
version = "3.8.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "77e9d642a7e3a318e37c2c9427b5a6a48aa1ad55dcd986f3034ab2239045a645"
dependencies = [
"darling",
"ident_case",
"prettyplease",
"proc-macro2",
"quote",
"rustversion",
"syn 2.0.111",
]
[[package]]
name = "bs58"
version = "0.5.1"
@@ -541,15 +519,6 @@ version = "0.4.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "2f421161cb492475f1661ddc9815a745a1c894592070661180fdec3d4872e9c3"
[[package]]
name = "convert_case"
version = "0.10.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "633458d4ef8c78b72454de2d54fd6ab2e60f9e02be22f3c6104cdc8a4e0fceb9"
dependencies = [
"unicode-segmentation",
]
[[package]]
name = "core-foundation"
version = "0.9.4"
@@ -700,41 +669,6 @@ dependencies = [
"syn 2.0.111",
]
[[package]]
name = "darling"
version = "0.21.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "9cdf337090841a411e2a7f3deb9187445851f91b309c0c0a29e05f74a00a48c0"
dependencies = [
"darling_core",
"darling_macro",
]
[[package]]
name = "darling_core"
version = "0.21.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "1247195ecd7e3c85f83c8d2a366e4210d588e802133e1e355180a9870b517ea4"
dependencies = [
"fnv",
"ident_case",
"proc-macro2",
"quote",
"strsim",
"syn 2.0.111",
]
[[package]]
name = "darling_macro"
version = "0.21.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "d38308df82d1080de0afee5d069fa14b0326a88c14f15c5ccda35b4a6c414c81"
dependencies = [
"darling_core",
"quote",
"syn 2.0.111",
]
[[package]]
name = "data-encoding"
version = "2.9.0"
@@ -806,29 +740,6 @@ dependencies = [
"powerfmt",
]
[[package]]
name = "derive_more"
version = "2.1.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "10b768e943bed7bf2cab53df09f4bc34bfd217cdb57d971e769874c9a6710618"
dependencies = [
"derive_more-impl",
]
[[package]]
name = "derive_more-impl"
version = "2.1.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "6d286bfdaf75e988b4a78e013ecd79c581e06399ab53fbacd2d916c2f904f30b"
dependencies = [
"convert_case",
"proc-macro2",
"quote",
"rustc_version",
"syn 2.0.111",
"unicode-xid",
]
[[package]]
name = "digest"
version = "0.10.7"
@@ -999,22 +910,17 @@ name = "exo_pyo3_bindings"
version = "0.0.1"
dependencies = [
"delegate",
"derive_more",
"env_logger",
"extend",
"futures",
"impl-trait-for-tuples",
"futures-lite",
"libp2p",
"log",
"networking",
"once_cell",
"pin-project",
"pyo3",
"pyo3-async-runtimes",
"pyo3-log",
"pyo3-stub-gen",
"thiserror 2.0.17",
"thread_local",
"tokio",
"util",
]
@@ -1030,6 +936,12 @@ dependencies = [
"syn 2.0.111",
]
[[package]]
name = "fastrand"
version = "2.3.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "37909eebbb50d72f9059c3b6d82c0463f2ff062c9e95845c43a6c9c0355411be"
[[package]]
name = "ff"
version = "0.13.1"
@@ -1138,7 +1050,10 @@ version = "2.6.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f78e10609fe0e0b3f4157ffab1876319b5b0db102a2c60dc4626306dc46b44ad"
dependencies = [
"fastrand",
"futures-core",
"futures-io",
"parking",
"pin-project-lite",
]
@@ -1625,12 +1540,6 @@ dependencies = [
"zerovec",
]
[[package]]
name = "ident_case"
version = "1.0.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b9e0384b61958566e926dc50660321d12159025e767c18e043daf26b70104c39"
[[package]]
name = "idna"
version = "1.1.0"
@@ -1706,17 +1615,6 @@ dependencies = [
"xmltree",
]
[[package]]
name = "impl-trait-for-tuples"
version = "0.2.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "a0eb5a3343abf848c0984fe4604b2b105da9539376e24fc0a3b0007411ae4fd9"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.111",
]
[[package]]
name = "indexmap"
version = "2.12.1"
@@ -1745,15 +1643,6 @@ dependencies = [
"generic-array",
]
[[package]]
name = "internment"
version = "0.8.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "636d4b0f6a39fd684effe2a73f5310df16a3fa7954c26d36833e98f44d1977a2"
dependencies = [
"hashbrown 0.15.5",
]
[[package]]
name = "inventory"
version = "0.3.21"
@@ -1904,12 +1793,6 @@ version = "0.2.178"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "37c93d8daa9d8a012fd8ab92f088405fb202ea0b6ab73ee2482ae66af4f42091"
[[package]]
name = "libm"
version = "0.2.15"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f9fbbcab51052fe104eb5e5d351cf728d30a5be1fe14d9be8a3b097481fb97de"
[[package]]
name = "libp2p"
version = "0.56.0"
@@ -2898,17 +2781,16 @@ dependencies = [
name = "networking"
version = "0.0.1"
dependencies = [
"async-stream",
"delegate",
"derive_more",
"either",
"extend",
"futures",
"futures-lite",
"futures-timer",
"impl-trait-for-tuples",
"keccak-const",
"libp2p",
"log",
"thiserror 2.0.17",
"pin-project",
"tokio",
"tracing-subscriber",
"util",
@@ -2993,17 +2875,6 @@ dependencies = [
"num-traits",
]
[[package]]
name = "num-rational"
version = "0.4.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f83d14da390562dca69fc84082e73e548e1ad308d24accdedd2720017cb37824"
dependencies = [
"num-bigint",
"num-integer",
"num-traits",
]
[[package]]
name = "num-traits"
version = "0.2.19"
@@ -3307,16 +3178,6 @@ dependencies = [
"zerocopy",
]
[[package]]
name = "prettyplease"
version = "0.2.37"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "479ca8adacdd7ce8f1fb39ce9ecccbfe93a3f1344b3d0d97f20bc0196208f62b"
dependencies = [
"proc-macro2",
"syn 2.0.111",
]
[[package]]
name = "primeorder"
version = "0.13.6"
@@ -3364,28 +3225,14 @@ version = "0.27.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ab53c047fcd1a1d2a8820fe84f05d6be69e9526be40cb03b73f86b6b03e6d87d"
dependencies = [
"bigdecimal",
"either",
"hashbrown 0.16.1",
"indexmap",
"indoc",
"inventory",
"libc",
"lock_api",
"memoffset",
"num-bigint",
"num-complex",
"num-rational",
"num-traits",
"once_cell",
"ordered-float",
"parking_lot",
"portable-atomic",
"pyo3-build-config",
"pyo3-ffi",
"pyo3-macros",
"rust_decimal",
"smallvec",
"unindent",
]
@@ -3740,12 +3587,6 @@ dependencies = [
"yasna",
]
[[package]]
name = "recursion"
version = "0.5.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "9dba2197bf7b1d87b4dd460c195f4edeb45a94e82e8054f8d5f317c1f0e93ca1"
[[package]]
name = "redox_syscall"
version = "0.5.18"
@@ -3832,16 +3673,6 @@ dependencies = [
"tokio",
]
[[package]]
name = "rust_decimal"
version = "1.39.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "35affe401787a9bd846712274d97654355d21b2a2c092a3139aabe31e9022282"
dependencies = [
"arrayvec",
"num-traits",
]
[[package]]
name = "rustc-hash"
version = "1.1.0"
@@ -4706,24 +4537,12 @@ version = "1.0.22"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "9312f7c4f6ff9069b165498234ce8be658059c6728633667c526e27dc2cf1df5"
[[package]]
name = "unicode-segmentation"
version = "1.12.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f6ccf251212114b54433ec949fd6a7841275f9ada20dddd2f29e9ceea4501493"
[[package]]
name = "unicode-width"
version = "0.2.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b4ac048d71ede7ee76d585517add45da530660ef4390e49b098733c6e897f254"
[[package]]
name = "unicode-xid"
version = "0.2.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ebc1c04c71510c7f702b52b7c350734c9ff1295c464a03335b00bb84fc54f853"
[[package]]
name = "unicode_names2"
version = "1.3.0"
@@ -4807,15 +4626,6 @@ checksum = "06abde3611657adf66d383f00b093d7faecc7fa57071cce2578660c9f1010821"
[[package]]
name = "util"
version = "0.0.1"
dependencies = [
"bon",
"derive_more",
"extend",
"internment",
"once_cell",
"recursion",
"thiserror 2.0.17",
]
[[package]]
name = "uuid"
+3 -35
View File
@@ -1,10 +1,6 @@
[workspace]
resolver = "3"
members = [
"rust/networking",
"rust/exo_pyo3_bindings",
"rust/util",
]
members = ["rust/networking", "rust/exo_pyo3_bindings", "rust/util"]
[workspace.package]
version = "0.0.1"
@@ -26,49 +22,21 @@ opt-level = 3
networking = { path = "rust/networking" }
util = { path = "rust/util" }
# Proc-macro authoring tools
syn = "2.0"
quote = "1.0"
proc-macro2 = "1.0"
darling = "0.20"
# Macro dependecies
extend = "1.2"
delegate = "0.13"
impl-trait-for-tuples = "0.2"
clap = "4.5"
derive_more = { version = "2.0.1", features = ["display"] }
pin-project = "1"
# Utility dependencies
itertools = "0.14"
thiserror = "2"
internment = "0.8"
recursion = "0.5"
regex = "1.11"
once_cell = "1.21"
thread_local = "1.1"
bon = "3.4"
generativity = "1.1"
anyhow = "1.0"
keccak-const = "0.2"
# Functional generics/lenses frameworks
frunk_core = "0.4"
frunk = "0.4"
frunk_utils = "0.2"
frunk-enum-core = "0.3"
# Async dependencies
async-stream = "0.3"
tokio = "1.46"
futures = "0.3"
futures-util = "0.3"
futures-lite = "2.6.1"
futures-timer = "3.0"
# Data structures
either = "1.15"
ordered-float = "5.0"
ahash = "0.8"
# Tracing/logging
log = "0.4"
+11 -11
View File
@@ -5,21 +5,21 @@
[X] Fetching download status of all models on start
[X] Deduplication of tasks in plan_step.
[X] resolve_allow_patterns should just be wildcard now.
[] no mx_barrier in genreate.py mlx_generate at the end.
[X] no mx_barrier in genreate.py mlx_generate at the end.
[] cache assertion not needed in auto_parallel.py PipelineLastLayer.
[] GPTOSS support dropped in auto_parallel.py.
[] sharding changed "all-to-sharded" became _all_to_sharded in auto_parallel.py.
[] same as above with "sharded-to-all" became _sharded_to_all in auto_parallel.py.
[] Dropped support for Ministral3Model, DeepseekV32Model, Glm4MoeModel, Qwen3NextModel, GptOssMode in auto_parallel.py.
[X] GPTOSS support dropped in auto_parallel.py.
[X] sharding changed "all-to-sharded" became _all_to_sharded in auto_parallel.py.
[X] same as above with "sharded-to-all" became _sharded_to_all in auto_parallel.py.
[X] Dropped support for Ministral3Model, DeepseekV32Model, Glm4MoeModel, Qwen3NextModel, GptOssMode in auto_parallel.py.
[] Dropped prefill/decode code in auto_parallel.py and utils_mlx.py.
[X] KV_CACHE_BITS should be None to disable quantized KV cache.
[] Dropped _set_nofile_limit in utils_mlx.py.
[] We have group optional in load_mlx_items in utils_mlx.py.
[] Dropped add_missing_chat_templates for GptOss in load_mlx_items in utils_mlx.py.
[] Dropped model.make_cache in make_kv_cache in utils_mlx.py.
[X] Dropped _set_nofile_limit in utils_mlx.py.
[X] We have group optional in load_mlx_items in utils_mlx.py.
[X] Dropped add_missing_chat_templates for GptOss in load_mlx_items in utils_mlx.py.
[X] Dropped model.make_cache in make_kv_cache in utils_mlx.py.
[X] We put cache limit back in utils_mlx.py.
[] topology.py remove_node removes the connections after checking if node is is in self._node_id_to_rx_id_map. on beta_1 it checks after, so would remove stale connections I guess?
[] Missing Glm 4.7 model cards (this isn't ready yet but should be picked up, probably create an issue... the blocker is transforemrs version doesn't support the tokenizer for Glm 4.7. rc-1 does but we can't upgrade as it breaks other things.)
[X] topology.py remove_node removes the connections after checking if node is is in self._node_id_to_rx_id_map. on beta_1 it checks after, so would remove stale connections I guess?
[X] Missing Glm 4.7 model cards (this isn't ready yet but should be picked up, probably create an issue... the blocker is transforemrs version doesn't support the tokenizer for Glm 4.7. rc-1 does but we can't upgrade as it breaks other things.)
[] try-except in _command_processor only excepts ValueError. This was silently failing leading to un-debuggable errors (we had a KeyError that was happening ). Changed this to catch Exception instead of ValueError. See exo-v2 89ae38405e0052e3c22405daf094b065878aa873 and fb99fea69b5a39017efc90c5dad0072e677455f0.
[X] In placement.py, place_instance no longer looks at model_meta.supports_tensor and check if this tensor parallel number of nodes is supported by the model's tensor dimensions.
[X] In placement.py, place_instanec, we no longer have the special case to exclude DeepSeek v3.1 pipeline parallel (it doesn't work).
+148 -6
View File
@@ -26,6 +26,8 @@ exo connects all your devices into an AI cluster. Not only does exo enable runni
- **Topology-Aware Auto Parallel**: exo figures out the best way to split your model across all available devices based on a realtime view of your device topology. It takes into account device resources and network latency/bandwidth between each link.
- **Tensor Parallelism**: exo supports sharding models, for up to 1.8x speedup on 2 devices and 3.2x speedup on 4 devices.
- **MLX Support**: exo uses [MLX](https://github.com/ml-explore/mlx) as an inference backend and [MLX distributed](https://ml-explore.github.io/mlx/build/html/usage/distributed.html) for distributed communication.
- **Multiple API Compatibility**: Compatible with OpenAI Chat Completions API, Claude Messages API, OpenAI Responses API, and Ollama API - use your existing tools and clients.
- **Custom Model Support**: Load custom models from HuggingFace hub to expand the range of available models.
## Dashboard
@@ -72,18 +74,31 @@ There are two ways to run exo:
### Run from Source (macOS)
If you have [Nix](https://nixos.org/) installed, you can skip most of the steps below and run exo directly:
```bash
nix run .#exo
```
**Note:** To accept the Cachix binary cache (and avoid the Xcode Metal ToolChain), add to `/etc/nix/nix.conf`:
```
trusted-users = root (or your username)
experimental-features = nix-command flakes
```
Then restart the Nix daemon: `sudo launchctl kickstart -k system/org.nixos.nix-daemon`
**Prerequisites:**
- [Xcode](https://developer.apple.com/xcode/) (provides the Metal ToolChain required for MLX compilation)
- [brew](https://github.com/Homebrew/brew) (for simple package management on macOS)
```bash
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
```
- [uv](https://github.com/astral-sh/uv) (for Python dependency management)
- [macmon](https://github.com/vladkens/macmon) (for hardware monitoring on Apple Silicon)
- [node](https://github.com/nodejs/node) (for building the dashboard)
```bash
brew install uv macmon node
brew install uv node
```
- [rust](https://github.com/rust-lang/rustup) (to build Rust bindings, nightly for now)
@@ -91,6 +106,17 @@ There are two ways to run exo:
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
rustup toolchain install nightly
```
- [macmon](https://github.com/vladkens/macmon) (for hardware monitoring on Apple Silicon)
Install the pinned fork revision used by this repo instead of Homebrew `macmon`.
Homebrew `macmon 0.6.1` still crashes on Apple M5.
```bash
cargo install --git https://github.com/swiftraccoon/macmon \
--rev 9154d234f763fbeffdcb4135d0bbbaf80609699b \
macmon \
--force
```
Clone the repo, build the dashboard, and run exo:
@@ -182,6 +208,8 @@ exo follows the [XDG Base Directory Specification](https://specifications.freede
- **Configuration files**: `~/.config/exo/` (or `$XDG_CONFIG_HOME/exo/`)
- **Data files**: `~/.local/share/exo/` (or `$XDG_DATA_HOME/exo/`)
- **Cache files**: `~/.cache/exo/` (or `$XDG_CACHE_HOME/exo/`)
- **Log files**: `~/.cache/exo/exo_log/` (with automatic log rotation)
- **Custom model cards**: `~/.local/share/exo/custom_model_cards/`
You can override these locations by setting the corresponding XDG environment variables.
@@ -261,8 +289,51 @@ After that, RDMA will be enabled in macOS and exo will take care of the rest.
---
## Environment Variables
exo supports several environment variables for configuration:
| Variable | Description | Default |
|----------|-------------|---------|
| `EXO_DEFAULT_MODELS_DIR` | Default directory for model downloads and caches. Always first in the writable dirs list. | `~/.local/share/exo/models` (Linux) or `~/.exo/models` (macOS) |
| `EXO_MODELS_DIRS` | Colon-separated additional writable directories for model downloads. Checked in order after the default; first with enough free space is used. | None |
| `EXO_MODELS_READ_ONLY_DIRS` | Colon-separated read-only directories to search for pre-downloaded models (e.g., NFS mounts, shared storage). Models here cannot be deleted. | None |
| `EXO_OFFLINE` | Run without internet connection (uses only local models) | `false` |
| `EXO_ENABLE_IMAGE_MODELS` | Enable image model support | `false` |
| `EXO_LIBP2P_NAMESPACE` | Custom namespace for cluster isolation | None |
| `EXO_FAST_SYNCH` | Control MLX_METAL_FAST_SYNCH behavior (for JACCL backend) | Auto |
| `EXO_TRACING_ENABLED` | Enable distributed tracing for performance analysis | `false` |
**Example usage:**
```bash
# Use pre-downloaded models from NFS mount (read-only)
EXO_MODELS_READ_ONLY_DIRS=/mnt/nfs/models:/opt/ai-models uv run exo
# Download models to an external SSD (falls back to default dir if full)
EXO_MODELS_DIRS=/Volumes/ExternalSSD/exo-models uv run exo
# Run in offline mode
EXO_OFFLINE=true uv run exo
# Enable image models
EXO_ENABLE_IMAGE_MODELS=true uv run exo
# Use custom namespace for cluster isolation
EXO_LIBP2P_NAMESPACE=my-dev-cluster uv run exo
```
---
### Using the API
exo provides multiple API-compatible interfaces for maximum compatibility with existing tools:
- **OpenAI Chat Completions API** - Compatible with OpenAI clients
- **Claude Messages API** - Compatible with Anthropic's Claude format
- **OpenAI Responses API** - Compatible with OpenAI's Responses format
- **Ollama API** - Compatible with Ollama and tools like OpenWebUI
If you prefer to interact with exo via the API, here is an example creating an instance of a small model (`mlx-community/Llama-3.2-1B-Instruct-4bit`), sending a chat completions request and deleting the instance.
---
@@ -352,14 +423,85 @@ When you're done, delete the instance by its ID (find it via `/state` or `/insta
curl -X DELETE http://localhost:52415/instance/YOUR_INSTANCE_ID
```
### Claude Messages API Compatibility
Use the Claude Messages API format with the `/v1/messages` endpoint:
```bash
curl -N -X POST http://localhost:52415/v1/messages \
-H 'Content-Type: application/json' \
-d '{
"model": "mlx-community/Llama-3.2-1B-Instruct-4bit",
"messages": [
{"role": "user", "content": "Hello"}
],
"max_tokens": 1024,
"stream": true
}'
```
### OpenAI Responses API Compatibility
Use the OpenAI Responses API format with the `/v1/responses` endpoint:
```bash
curl -N -X POST http://localhost:52415/v1/responses \
-H 'Content-Type: application/json' \
-d '{
"model": "mlx-community/Llama-3.2-1B-Instruct-4bit",
"messages": [
{"role": "user", "content": "Hello"}
],
"stream": true
}'
```
### Ollama API Compatibility
exo supports Ollama API endpoints for compatibility with tools like OpenWebUI:
```bash
# Ollama chat
curl -X POST http://localhost:52415/ollama/api/chat \
-H 'Content-Type: application/json' \
-d '{
"model": "mlx-community/Llama-3.2-1B-Instruct-4bit",
"messages": [
{"role": "user", "content": "Hello"}
],
"stream": false
}'
# List models (Ollama format)
curl http://localhost:52415/ollama/api/tags
```
### Custom Model Loading from HuggingFace
You can add custom models from the HuggingFace hub:
```bash
curl -X POST http://localhost:52415/models/add \
-H 'Content-Type: application/json' \
-d '{
"model_id": "mlx-community/my-custom-model"
}'
```
**Security Note:**
Custom models requiring `trust_remote_code` in their configuration must be explicitly enabled (default is false) for security. Only enable this if you trust the model's remote code execution. Models are fetched from HuggingFace and stored locally as custom model cards.
**Other useful API endpoints*:**
- List all models: `curl http://localhost:52415/models`
- List downloaded models only: `curl http://localhost:52415/models?status=downloaded`
- Search HuggingFace: `curl "http://localhost:52415/models/search?query=llama&limit=10"`
- Inspect instance IDs and deployment state: `curl http://localhost:52415/state`
For further details, see:
- API basic documentation in [docs/api.md](docs/api.md).
- API documentation in [docs/api.md](docs/api.md).
- API types and endpoints in [src/exo/master/api.py](src/exo/master/api.py).
---
@@ -418,4 +560,4 @@ On macOS, exo uses the GPU. On Linux, exo currently runs on CPU. We are working
## Contributing
See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines on how to contribute to exo.
See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines on how to contribute to exo.
-14
View File
@@ -1,28 +1,14 @@
2. Currently a lot of requests from the API are timing out, but we still process those requests internally. If an API request times out, we should cancel all corresponding tasks to that API request (why process a request with nobody listening).
3. Task cancellation. When API http request gets cancelled, it should cancel corresponding task.
4. I'd like to see profiled network latency / bandwidth.
5. I'd like to see how much bandwidth each link is using.
6. We should handle the case where one machine doesn't have the model downloaded and then other machines are waiting on it. In this case we get loads of timeout errors because the others are waiting for the one that needs to download the model.
7. Solve the problem of in continuous batching when a new prompt comes in, it will block decode of the current batch until the prefill is complete.
8. We want people to be able to copy models over to a new device without ever connecting EXO to the internet. Right now EXO require internet connection once to cache some files to check if a download is complete. Instead, we should simply check if there is a non-empty model folder locally with no .partial files. This indicates it's a fully downloaded model that can be loaded.
10. More granular control over how to deploy instances.
12. Nix is great but installing it is a pain and we have ended up in a lot of cases having PATH issues or installation issues. For example, after rebooting mike it seemed to no longer have a nix installation and needed reinstalling. It has a bunch of broken symlinks left over from nix that caused ssh to fail, making it even harder to debug. We need consistent environments (perhaps MDM) so we can guarantee nix is installed properly on each machine.
13. Memory pressure instead of memory used.
14. Show the type of each connection (TB5, Ethernet, etc.) in the UI. Refer to old exo: https://github.com/exo-explore/exo/blob/56f783b38dc6b08ce606b07a5386dc40dae00330/exo/helpers.py#L251
15. Prioritise certain connection types (or by latency). TB5 > Ethernet > WiFi. Refer to old exo: https://github.com/exo-explore/exo/blob/56f783b38dc6b08ce606b07a5386dc40dae00330/exo/helpers.py#L251
16. Dynamically switch to higher priority connection when it becomes available. Probably bring back InstanceReplacedAtomically.
17. Faster model loads by streaming model from other devices in cluster.
18. Add support for specifying the type of network connection to use in a test. Depends on 15/16.
20. Add chat completion cancellations (e.g OpenWebUI has something for cancelling an ongoing request).
23. Do we need cache_limit? We went back and forth on that a lot because we thought it might be causing issues. One problem is it sets it relative to model size. So if you have multiple models loaded in it will take the most recent model size for the cache_limit. This is problematic if you launch DeepSeek -> Llama for example.
24. further openai/lmstudio api compatibility
25. Rethink retry logic
26. Task cancellation. When API http request gets cancelled, it should cancel corresponding task.
27. Log cleanup - per-module log filters and default to DEBUG log levels
28. Validate RDMA connections with ibv_devinfo in the info gatherer
Potential refactors:
2. Topology can be simplified
Random errors we've run into:
+248 -179
View File
@@ -15,14 +15,23 @@ struct ContentView: View {
@EnvironmentObject private var localNetworkChecker: LocalNetworkChecker
@EnvironmentObject private var updater: SparkleUpdater
@EnvironmentObject private var thunderboltBridgeService: ThunderboltBridgeService
@EnvironmentObject private var settingsWindowController: SettingsWindowController
@State private var focusedNode: NodeViewModel?
@State private var deletingInstanceIDs: Set<String> = []
@State private var showAllNodes = false
@State private var showAllInstances = false
@State private var baseURLCopied = false
@State private var showAdvanced = false
@State private var showDebugInfo = false
@State private var bugReportInFlight = false
@State private var bugReportMessage: String?
private enum BugReportPhase: Equatable {
case idle
case prompting
case sending(String)
case success(String)
case failure(String)
}
@State private var bugReportPhase: BugReportPhase = .idle
@State private var bugReportUserDescription: String = ""
@State private var uninstallInProgress = false
@State private var pendingNamespace: String = ""
@State private var pendingHFToken: String = ""
@@ -258,139 +267,79 @@ struct ContentView: View {
VStack(alignment: .leading, spacing: 0) {
if controller.status != .stopped {
dashboardButton
baseURLRow
Divider()
.padding(.vertical, 8)
} else {
Divider()
.padding(.vertical, 4)
}
advancedSection
.padding(.bottom, 8)
controlButton(title: "Quit", tint: .secondary) {
HoverButton(
title: "Settings",
tint: .primary,
trailingSystemImage: "gear"
) {
settingsWindowController.open(
controller: controller,
updater: updater,
networkStatusService: networkStatusService,
thunderboltBridgeService: thunderboltBridgeService,
stateService: stateService
)
}
HoverButton(
title: "Check for Updates",
tint: .primary,
trailingSystemImage: "arrow.triangle.2.circlepath"
) {
updater.checkForUpdates()
}
.padding(.bottom, 8)
HoverButton(title: "Quit", tint: .secondary) {
controller.stop()
NSApplication.shared.terminate(nil)
}
}
}
private var advancedSection: some View {
VStack(alignment: .leading, spacing: 6) {
HStack {
Text("Advanced")
.font(.caption)
.foregroundColor(.secondary)
Spacer()
collapseButton(isExpanded: $showAdvanced)
}
.animation(nil, value: showAdvanced)
if showAdvanced {
VStack(alignment: .leading, spacing: 8) {
VStack(alignment: .leading, spacing: 4) {
Text("Cluster Namespace")
.font(.caption2)
.foregroundColor(.secondary)
HStack {
TextField("optional", text: $pendingNamespace)
.textFieldStyle(.roundedBorder)
.font(.caption2)
.onAppear {
pendingNamespace = controller.customNamespace
}
Button("Save & Restart") {
controller.customNamespace = pendingNamespace
if controller.status == .running || controller.status == .starting {
controller.restart()
}
}
.font(.caption2)
.disabled(pendingNamespace == controller.customNamespace)
}
}
VStack(alignment: .leading, spacing: 4) {
Text("HuggingFace Token")
.font(.caption2)
.foregroundColor(.secondary)
HStack {
SecureField("optional", text: $pendingHFToken)
.textFieldStyle(.roundedBorder)
.font(.caption2)
.onAppear {
pendingHFToken = controller.hfToken
}
Button("Save & Restart") {
controller.hfToken = pendingHFToken
if controller.status == .running || controller.status == .starting {
controller.restart()
}
}
.font(.caption2)
.disabled(pendingHFToken == controller.hfToken)
}
}
Divider()
HStack {
Toggle(
"Enable Image Models (experimental)", isOn: $pendingEnableImageModels
)
.toggleStyle(.switch)
.font(.caption2)
.onAppear {
pendingEnableImageModels = controller.enableImageModels
}
Spacer()
Button("Save & Restart") {
controller.enableImageModels = pendingEnableImageModels
if controller.status == .running || controller.status == .starting {
controller.restart()
}
}
.font(.caption2)
.disabled(pendingEnableImageModels == controller.enableImageModels)
}
HoverButton(title: "Check for Updates", small: true) {
updater.checkForUpdates()
}
debugSection
HoverButton(title: "Uninstall", tint: .red, small: true) {
showUninstallConfirmationAlert()
}
.disabled(uninstallInProgress)
}
.transition(.opacity)
}
}
.animation(.easeInOut(duration: 0.25), value: showAdvanced)
}
private func controlButton(title: String, tint: Color = .primary, action: @escaping () -> Void)
-> some View
{
HoverButton(title: title, tint: tint, trailingSystemImage: nil, action: action)
}
private var dashboardButton: some View {
Button {
HoverButton(
title: "Web Dashboard",
tint: .primary,
trailingSystemImage: "arrow.up.right"
) {
guard let url = URL(string: "http://localhost:52415/") else { return }
NSWorkspace.shared.open(url)
} label: {
HStack {
Image(systemName: "arrow.up.right.square")
.imageScale(.small)
Text("Dashboard")
.fontWeight(.medium)
Spacer()
}
.padding(.vertical, 8)
.padding(.horizontal, 10)
.background(
RoundedRectangle(cornerRadius: 8, style: .continuous)
.fill(Color(red: 1.0, green: 0.87, blue: 0.0).opacity(0.2))
)
}
.buttonStyle(.plain)
.padding(.bottom, 4)
}
private var baseURLRow: some View {
HStack(spacing: 6) {
Image(systemName: "link")
.imageScale(.small)
.foregroundColor(.secondary)
Text("localhost:52415/v1")
.font(.system(.caption, design: .monospaced))
.foregroundColor(.primary)
Spacer()
Button {
NSPasteboard.general.clearContents()
NSPasteboard.general.setString("http://localhost:52415/v1", forType: .string)
baseURLCopied = true
DispatchQueue.main.asyncAfter(deadline: .now() + 2) {
baseURLCopied = false
}
} label: {
Image(systemName: baseURLCopied ? "checkmark" : "doc.on.doc")
.imageScale(.small)
.foregroundColor(baseURLCopied ? .green : .secondary)
.contentTransition(.symbolEffect(.replace))
}
.buttonStyle(.plain)
.help("Copy API base URL")
}
.padding(.vertical, 4)
.padding(.horizontal, 8)
}
private func collapseButton(isExpanded: Binding<Bool>) -> some View {
@@ -563,21 +512,45 @@ struct ContentView: View {
}
private var rdmaStatusView: some View {
let rdma = networkStatusService.status.rdmaStatus
let rdmaStatuses = stateService.latestSnapshot?.nodeRdmaCtl ?? [:]
let localNodeId = stateService.localNodeId
let nodeProfiles = stateService.latestSnapshot?.nodeProfiles ?? [:]
let localDevices = networkStatusService.status.localRdmaDevices
let localPorts = networkStatusService.status.localRdmaActivePorts
return VStack(alignment: .leading, spacing: 1) {
Text("RDMA: \(rdmaStatusText(rdma))")
.font(.caption2)
.foregroundColor(rdmaStatusColor(rdma))
if !rdma.devices.isEmpty {
Text(" Devices: \(rdma.devices.joined(separator: ", "))")
if rdmaStatuses.isEmpty {
Text("Cluster RDMA: No data")
.font(.caption2)
.foregroundColor(.secondary)
} else {
Text("Cluster RDMA Status:")
.font(.caption2)
.foregroundColor(.secondary)
ForEach(Array(rdmaStatuses.keys.sorted()), id: \.self) { nodeId in
if let status = rdmaStatuses[nodeId] {
let nodeName =
nodeProfiles[nodeId]?.friendlyName ?? String(nodeId.prefix(8))
let isLocal = nodeId == localNodeId
let prefix = isLocal ? " \(nodeName) (local):" : " \(nodeName):"
let statusText = status.enabled ? "Enabled" : "Disabled"
let color: Color = status.enabled ? .green : .orange
Text("\(prefix) \(statusText)")
.font(.caption2)
.foregroundColor(color)
}
}
}
if !localDevices.isEmpty {
Text(" Local Devices: \(localDevices.joined(separator: ", "))")
.font(.caption2)
.foregroundColor(.secondary)
}
if !rdma.activePorts.isEmpty {
Text(" Active Ports:")
if !localPorts.isEmpty {
Text(" Local Active Ports:")
.font(.caption2)
.foregroundColor(.secondary)
ForEach(rdma.activePorts, id: \.device) { port in
ForEach(localPorts, id: \.device) { port in
Text(" \(port.device) port \(port.port): \(port.state)")
.font(.caption2)
.foregroundColor(.green)
@@ -586,62 +559,116 @@ struct ContentView: View {
}
}
private func rdmaStatusText(_ rdma: RDMAStatus) -> String {
switch rdma.rdmaCtlEnabled {
case .some(true):
return "Enabled"
case .some(false):
return "Disabled"
case nil:
return rdma.devices.isEmpty ? "Not Available" : "Available"
}
}
private func rdmaStatusColor(_ rdma: RDMAStatus) -> Color {
switch rdma.rdmaCtlEnabled {
case .some(true):
return .green
case .some(false):
return .orange
case nil:
return rdma.devices.isEmpty ? .secondary : .green
}
}
private var sendBugReportButton: some View {
VStack(alignment: .leading, spacing: 4) {
Button {
Task {
await sendBugReport()
}
} label: {
HStack {
if bugReportInFlight {
ProgressView()
.scaleEffect(0.6)
VStack(alignment: .leading, spacing: 6) {
switch bugReportPhase {
case .idle:
Button {
bugReportPhase = .prompting
bugReportUserDescription = ""
} label: {
HStack {
Text("Send Bug Report")
.font(.caption)
.fontWeight(.semibold)
Spacer()
}
Text("Send Bug Report")
.font(.caption)
.fontWeight(.semibold)
Spacer()
.padding(.vertical, 6)
.padding(.horizontal, 8)
.background(
RoundedRectangle(cornerRadius: 6)
.fill(Color.accentColor.opacity(0.12))
)
}
.padding(.vertical, 6)
.padding(.horizontal, 8)
.buttonStyle(.plain)
case .prompting:
VStack(alignment: .leading, spacing: 6) {
Text("What's the issue? (optional)")
.font(.caption2)
.foregroundColor(.secondary)
TextEditor(text: $bugReportUserDescription)
.font(.caption2)
.frame(height: 60)
.overlay(
RoundedRectangle(cornerRadius: 4)
.stroke(Color.secondary.opacity(0.3), lineWidth: 1)
)
HStack(spacing: 8) {
Button("Send") {
Task {
await sendBugReport()
}
}
.font(.caption2)
.buttonStyle(.borderedProminent)
.controlSize(.small)
Button("Cancel") {
bugReportPhase = .idle
}
.font(.caption2)
.buttonStyle(.bordered)
.controlSize(.small)
}
}
.padding(8)
.background(
RoundedRectangle(cornerRadius: 6)
.fill(Color.accentColor.opacity(0.12))
.fill(Color.accentColor.opacity(0.06))
)
}
.buttonStyle(.plain)
.disabled(bugReportInFlight)
if let message = bugReportMessage {
Text(message)
case .sending(let message):
HStack(spacing: 6) {
ProgressView()
.scaleEffect(0.6)
Text(message)
.font(.caption2)
.foregroundColor(.secondary)
}
case .success(let message):
VStack(alignment: .leading, spacing: 6) {
Text(message)
.font(.caption2)
.foregroundColor(.secondary)
.fixedSize(horizontal: false, vertical: true)
Button {
openGitHubIssue()
} label: {
HStack(spacing: 4) {
Image(systemName: "arrow.up.right.square")
.imageScale(.small)
Text("Create GitHub Issue")
.font(.caption2)
}
}
.buttonStyle(.bordered)
.controlSize(.small)
Button("Done") {
bugReportPhase = .idle
bugReportUserDescription = ""
}
.font(.caption2)
.buttonStyle(.plain)
.foregroundColor(.secondary)
.fixedSize(horizontal: false, vertical: true)
}
case .failure(let message):
VStack(alignment: .leading, spacing: 4) {
Text(message)
.font(.caption2)
.foregroundColor(.red)
.fixedSize(horizontal: false, vertical: true)
Button("Dismiss") {
bugReportPhase = .idle
}
.font(.caption2)
.buttonStyle(.plain)
.foregroundColor(.secondary)
}
}
}
.animation(.easeInOut(duration: 0.2), value: bugReportPhase)
}
private var processToggleBinding: Binding<Bool> {
@@ -685,16 +712,58 @@ struct ContentView: View {
}
private func sendBugReport() async {
bugReportInFlight = true
bugReportMessage = "Collecting logs..."
bugReportPhase = .sending("Collecting logs...")
let service = BugReportService()
let description = bugReportUserDescription.trimmingCharacters(in: .whitespacesAndNewlines)
do {
let outcome = try await service.sendReport(isManual: true)
bugReportMessage = outcome.message
let outcome = try await service.sendReport(
isManual: true,
userDescription: description.isEmpty ? nil : description
)
if outcome.success {
bugReportPhase = .success(outcome.message)
} else {
bugReportPhase = .failure(outcome.message)
}
} catch {
bugReportMessage = error.localizedDescription
bugReportPhase = .failure(error.localizedDescription)
}
}
private func openGitHubIssue() {
let description = bugReportUserDescription.trimmingCharacters(in: .whitespacesAndNewlines)
var bodyParts: [String] = []
bodyParts.append("## Describe the bug")
bodyParts.append("")
if !description.isEmpty {
bodyParts.append(description)
} else {
bodyParts.append("A clear and concise description of what the bug is.")
}
bodyParts.append("")
bodyParts.append("## Environment")
bodyParts.append("")
bodyParts.append("- macOS Version: \(ProcessInfo.processInfo.operatingSystemVersionString)")
bodyParts.append("- EXO Version: \(buildTag) (\(buildCommit))")
bodyParts.append("")
bodyParts.append("## Additional context")
bodyParts.append("")
bodyParts.append("A bug report with diagnostic logs was submitted via the app.")
let body = bodyParts.joined(separator: "\n")
var components = URLComponents(string: "https://github.com/exo-explore/exo/issues/new")!
components.queryItems = [
URLQueryItem(name: "template", value: "bug_report.md"),
URLQueryItem(name: "title", value: "[BUG] "),
URLQueryItem(name: "body", value: body),
URLQueryItem(name: "labels", value: "bug"),
]
if let url = components.url {
NSWorkspace.shared.open(url)
}
bugReportInFlight = false
}
private func showUninstallConfirmationAlert() {
+15 -2
View File
@@ -14,7 +14,6 @@ import SwiftUI
import UserNotifications
import os.log
@main
struct EXOApp: App {
@StateObject private var controller: ExoProcessController
@StateObject private var stateService: ClusterStateService
@@ -22,7 +21,9 @@ struct EXOApp: App {
@StateObject private var localNetworkChecker: LocalNetworkChecker
@StateObject private var updater: SparkleUpdater
@StateObject private var thunderboltBridgeService: ThunderboltBridgeService
@StateObject private var settingsWindowController: SettingsWindowController
private let terminationObserver: TerminationObserver
private let firstLaunchPopout = FirstLaunchPopout()
private let ciContext = CIContext(options: nil)
init() {
@@ -44,12 +45,13 @@ struct EXOApp: App {
_updater = StateObject(wrappedValue: updater)
let thunderboltBridge = ThunderboltBridgeService(clusterStateService: service)
_thunderboltBridgeService = StateObject(wrappedValue: thunderboltBridge)
_settingsWindowController = StateObject(wrappedValue: SettingsWindowController())
enableLaunchAtLoginIfNeeded()
// Install LaunchDaemon to disable Thunderbolt Bridge on startup (prevents network loops)
NetworkSetupHelper.promptAndInstallIfNeeded()
// Check local network access periodically (warning disappears when user grants permission)
localNetwork.startPeriodicChecking(interval: 10)
controller.scheduleLaunch(after: 15)
controller.scheduleLaunch(after: 5)
service.startPolling()
networkStatus.startPolling()
}
@@ -63,8 +65,19 @@ struct EXOApp: App {
.environmentObject(localNetworkChecker)
.environmentObject(updater)
.environmentObject(thunderboltBridgeService)
.environmentObject(settingsWindowController)
} label: {
menuBarIcon
.onReceive(controller.$isFirstLaunchReady) { ready in
if ready {
DispatchQueue.main.asyncAfter(deadline: .now() + 3.0) {
self.firstLaunchPopout.onComplete = { [weak controller] in
controller?.markOnboardingCompleted()
}
self.firstLaunchPopout.show()
}
}
}
}
.menuBarExtraStyle(.window)
}
+81 -5
View File
@@ -4,7 +4,10 @@ import Foundation
private let customNamespaceKey = "EXOCustomNamespace"
private let hfTokenKey = "EXOHFToken"
private let hfEndpointKey = "EXOHFEndpoint"
private let enableImageModelsKey = "EXOEnableImageModels"
private let offlineModeKey = "EXOOfflineMode"
private let onboardingCompletedKey = "EXOOnboardingCompleted"
@MainActor
final class ExoProcessController: ObservableObject {
@@ -28,6 +31,10 @@ final class ExoProcessController: ObservableObject {
}
}
static let exoDirectoryURL: URL = {
URL(fileURLWithPath: NSHomeDirectory()).appendingPathComponent(".exo")
}()
@Published private(set) var status: Status = .stopped
@Published private(set) var lastError: String?
@Published private(set) var launchCountdownSeconds: Int?
@@ -47,6 +54,14 @@ final class ExoProcessController: ObservableObject {
UserDefaults.standard.set(hfToken, forKey: hfTokenKey)
}
}
@Published var hfEndpoint: String = {
return UserDefaults.standard.string(forKey: hfEndpointKey) ?? ""
}()
{
didSet {
UserDefaults.standard.set(hfEndpoint, forKey: hfEndpointKey)
}
}
@Published var enableImageModels: Bool = {
return UserDefaults.standard.bool(forKey: enableImageModelsKey)
}()
@@ -55,6 +70,17 @@ final class ExoProcessController: ObservableObject {
UserDefaults.standard.set(enableImageModels, forKey: enableImageModelsKey)
}
}
@Published var offlineMode: Bool = {
return UserDefaults.standard.bool(forKey: offlineModeKey)
}()
{
didSet {
UserDefaults.standard.set(offlineMode, forKey: offlineModeKey)
}
}
/// Fires once when EXO transitions to `.running` for the very first time (fresh install).
@Published private(set) var isFirstLaunchReady = false
private var process: Process?
private var runtimeDirectoryURL: URL?
@@ -78,7 +104,11 @@ final class ExoProcessController: ObservableObject {
let child = Process()
child.executableURL = executableURL
child.currentDirectoryURL = runtimeURL
let exoHomeURL = Self.exoDirectoryURL
try? FileManager.default.createDirectory(
at: exoHomeURL, withIntermediateDirectories: true
)
child.currentDirectoryURL = exoHomeURL
child.environment = makeEnvironment(for: runtimeURL)
child.standardOutput = FileHandle.nullDevice
@@ -105,6 +135,9 @@ final class ExoProcessController: ObservableObject {
try child.run()
process = child
status = .running
// Show welcome popout on every launch
isFirstLaunchReady = true
} catch {
process = nil
status = .failed(message: "Launch error")
@@ -118,11 +151,37 @@ final class ExoProcessController: ObservableObject {
return
}
process.terminationHandler = nil
if process.isRunning {
process.terminate()
}
self.process = nil
status = .stopped
guard process.isRunning else {
self.process = nil
return
}
let proc = process
self.process = nil
Task.detached {
proc.interrupt()
for _ in 0..<50 {
if !proc.isRunning { return }
try? await Task.sleep(nanoseconds: 100_000_000)
}
if proc.isRunning {
proc.terminate()
}
for _ in 0..<30 {
if !proc.isRunning { return }
try? await Task.sleep(nanoseconds: 100_000_000)
}
if proc.isRunning {
kill(proc.processIdentifier, SIGKILL)
}
}
}
func restart() {
@@ -130,6 +189,17 @@ final class ExoProcessController: ObservableObject {
launch()
}
/// Mark onboarding as completed (user interacted with the welcome popout).
func markOnboardingCompleted() {
UserDefaults.standard.set(true, forKey: onboardingCompletedKey)
}
/// Reset onboarding so the welcome popout appears on next launch.
func resetOnboarding() {
UserDefaults.standard.removeObject(forKey: onboardingCompletedKey)
isFirstLaunchReady = false
}
func scheduleLaunch(after seconds: TimeInterval) {
cancelPendingLaunch()
let start = max(1, Int(ceil(seconds)))
@@ -212,9 +282,15 @@ final class ExoProcessController: ObservableObject {
if !hfToken.isEmpty {
environment["HF_TOKEN"] = hfToken
}
if !hfEndpoint.isEmpty {
environment["HF_ENDPOINT"] = hfEndpoint
}
if enableImageModels {
environment["EXO_ENABLE_IMAGE_MODELS"] = "true"
}
if offlineMode {
environment["EXO_OFFLINE"] = "true"
}
var paths: [String] = []
if let existing = environment["PATH"], !existing.isEmpty {
+10
View File
@@ -15,6 +15,7 @@ struct ClusterState: Decodable {
let nodeMemory: [String: MemoryInfo]
let nodeSystem: [String: SystemInfo]
let nodeThunderboltBridge: [String: ThunderboltBridgeStatus]
let nodeRdmaCtl: [String: NodeRdmaCtlStatus]
/// Computed property for backwards compatibility - merges granular state into NodeProfile
var nodeProfiles: [String: NodeProfile] {
@@ -65,6 +66,10 @@ struct ClusterState: Decodable {
try container.decodeIfPresent(
[String: ThunderboltBridgeStatus].self, forKey: .nodeThunderboltBridge
) ?? [:]
self.nodeRdmaCtl =
try container.decodeIfPresent(
[String: NodeRdmaCtlStatus].self, forKey: .nodeRdmaCtl
) ?? [:]
}
private enum CodingKeys: String, CodingKey {
@@ -78,6 +83,7 @@ struct ClusterState: Decodable {
case nodeMemory
case nodeSystem
case nodeThunderboltBridge
case nodeRdmaCtl
}
}
@@ -159,6 +165,10 @@ struct ThunderboltBridgeStatus: Decodable {
let serviceName: String?
}
struct NodeRdmaCtlStatus: Decodable {
let enabled: Bool
}
struct MemoryInfo: Decodable {
let ramTotal: MemoryValue?
let ramAvailable: MemoryValue?
+55 -17
View File
@@ -38,22 +38,19 @@ struct BugReportService {
func sendReport(
baseURL: URL = URL(string: "http://127.0.0.1:52415")!,
now: Date = Date(),
isManual: Bool = false
isManual: Bool = false,
userDescription: String? = nil
) async throws -> BugReportOutcome {
let timestamp = Self.runTimestampString(now)
let dayPrefix = Self.dayPrefixString(now)
let prefix = "reports/\(dayPrefix)/\(timestamp)/"
let logData = readLog()
let logFiles = readAllLogs()
let ifconfigText = try await captureIfconfig()
let hostName = Host.current().localizedName ?? "unknown"
let debugInfo = readDebugInfo()
async let stateResult = fetch(url: baseURL.appendingPathComponent("state"))
async let eventsResult = fetch(url: baseURL.appendingPathComponent("events"))
let stateData = try await stateResult
let eventsData = try await eventsResult
let stateData = try await fetch(url: baseURL.appendingPathComponent("state"))
// Extract cluster TB bridge status from exo state
let clusterTbBridgeStatus = extractClusterTbBridgeStatus(from: stateData)
@@ -64,15 +61,23 @@ struct BugReportService {
ifconfig: ifconfigText,
debugInfo: debugInfo,
isManual: isManual,
clusterTbBridgeStatus: clusterTbBridgeStatus
clusterTbBridgeStatus: clusterTbBridgeStatus,
userDescription: userDescription
)
let uploads: [(path: String, data: Data?)] = [
("\(prefix)exo.log", logData),
let eventLogFiles = readAllEventLogs()
var uploads: [(path: String, data: Data?)] = logFiles.map { (path, data) in
("\(prefix)\(path)", data)
}
uploads.append(
contentsOf: eventLogFiles.map { (path, data) in
("\(prefix)\(path)", data as Data?)
})
uploads.append(contentsOf: [
("\(prefix)state.json", stateData),
("\(prefix)events.json", eventsData),
("\(prefix)report.json", reportJSON),
]
])
let uploadItems: [(key: String, body: Data)] = uploads.compactMap { item in
guard let body = item.data else { return nil }
@@ -149,11 +154,40 @@ struct BugReportService {
return decoded.urls
}
private func readLog() -> Data? {
let logURL = URL(fileURLWithPath: NSHomeDirectory())
private func readAllLogs() -> [(path: String, data: Data)] {
let dir = URL(fileURLWithPath: NSHomeDirectory())
.appendingPathComponent(".exo")
.appendingPathComponent("exo.log")
return try? Data(contentsOf: logURL)
.appendingPathComponent("exo_log")
var results: [(path: String, data: Data)] = []
let contents = (try? FileManager.default.contentsOfDirectory(atPath: dir.path)) ?? []
for name in contents {
if let data = try? Data(contentsOf: dir.appendingPathComponent(name)) {
results.append(("exo_log/\(name)", data))
}
}
return results
}
private func readAllEventLogs() -> [(path: String, data: Data)] {
let eventLogDir = URL(fileURLWithPath: NSHomeDirectory())
.appendingPathComponent(".exo")
.appendingPathComponent("event_log")
var results: [(path: String, data: Data)] = []
for subdir in ["master", "api"] {
let dir = eventLogDir.appendingPathComponent(subdir)
let contents =
(try? FileManager.default.contentsOfDirectory(atPath: dir.path)) ?? []
for name in contents where name.hasPrefix("events.") {
if let data = try? Data(contentsOf: dir.appendingPathComponent(name)) {
results.append(("event_log/\(subdir)/\(name)", data))
}
}
}
return results
}
private func captureIfconfig() async throws -> String {
@@ -274,7 +308,8 @@ struct BugReportService {
ifconfig: String,
debugInfo: DebugInfo,
isManual: Bool,
clusterTbBridgeStatus: [[String: Any]]?
clusterTbBridgeStatus: [[String: Any]]?,
userDescription: String? = nil
) -> Data? {
let system = readSystemMetadata()
let exo = readExoMetadata()
@@ -291,6 +326,9 @@ struct BugReportService {
if let tbStatus = clusterTbBridgeStatus {
payload["cluster_thunderbolt_bridge"] = tbStatus
}
if let desc = userDescription, !desc.isEmpty {
payload["user_description"] = desc
}
return try? JSONSerialization.data(withJSONObject: payload, options: [.prettyPrinted])
}
@@ -288,6 +288,61 @@ enum NetworkSetupHelper {
"""
}
/// Direct install without GUI (requires root).
/// Returns true on success, false on failure.
static func installDirectly() -> Bool {
let script = makeInstallerScript()
return runShellDirectly(script)
}
/// Direct uninstall without GUI (requires root).
/// Returns true on success, false on failure.
static func uninstallDirectly() -> Bool {
let script = makeUninstallScript()
return runShellDirectly(script)
}
/// Run a shell script directly via Process (no AppleScript, requires root).
/// Returns true on success, false on failure.
private static func runShellDirectly(_ script: String) -> Bool {
let process = Process()
process.executableURL = URL(fileURLWithPath: "/bin/bash")
process.arguments = ["-c", script]
let outputPipe = Pipe()
let errorPipe = Pipe()
process.standardOutput = outputPipe
process.standardError = errorPipe
do {
try process.run()
process.waitUntilExit()
let outputData = outputPipe.fileHandleForReading.readDataToEndOfFile()
let errorData = errorPipe.fileHandleForReading.readDataToEndOfFile()
if let output = String(data: outputData, encoding: .utf8), !output.isEmpty {
print(output)
}
if let errorOutput = String(data: errorData, encoding: .utf8), !errorOutput.isEmpty {
fputs(errorOutput, stderr)
}
if process.terminationStatus == 0 {
logger.info("Shell script completed successfully")
return true
} else {
logger.error("Shell script failed with exit code \(process.terminationStatus)")
return false
}
} catch {
logger.error(
"Failed to run shell script: \(error.localizedDescription, privacy: .public)")
fputs("Error: \(error.localizedDescription)\n", stderr)
return false
}
}
private static func runShellAsAdmin(_ script: String) throws {
let escapedScript =
script
@@ -35,28 +35,18 @@ struct NetworkStatus: Equatable {
let thunderboltBridgeState: ThunderboltState?
let bridgeInactive: Bool?
let interfaceStatuses: [InterfaceIpStatus]
let rdmaStatus: RDMAStatus
let localRdmaDevices: [String]
let localRdmaActivePorts: [RDMAPort]
static let empty = NetworkStatus(
thunderboltBridgeState: nil,
bridgeInactive: nil,
interfaceStatuses: [],
rdmaStatus: .empty
localRdmaDevices: [],
localRdmaActivePorts: []
)
}
struct RDMAStatus: Equatable {
let rdmaCtlEnabled: Bool?
let devices: [String]
let activePorts: [RDMAPort]
var isAvailable: Bool {
rdmaCtlEnabled == true || !devices.isEmpty
}
static let empty = RDMAStatus(rdmaCtlEnabled: nil, devices: [], activePorts: [])
}
struct RDMAPort: Equatable {
let device: String
let port: String
@@ -80,31 +70,11 @@ private struct NetworkStatusFetcher {
thunderboltBridgeState: readThunderboltBridgeState(),
bridgeInactive: readBridgeInactive(),
interfaceStatuses: readInterfaceStatuses(),
rdmaStatus: readRDMAStatus()
localRdmaDevices: readRDMADevices(),
localRdmaActivePorts: readRDMAActivePorts()
)
}
private func readRDMAStatus() -> RDMAStatus {
let rdmaCtlEnabled = readRDMACtlEnabled()
let devices = readRDMADevices()
let activePorts = readRDMAActivePorts()
return RDMAStatus(
rdmaCtlEnabled: rdmaCtlEnabled, devices: devices, activePorts: activePorts)
}
private func readRDMACtlEnabled() -> Bool? {
let result = runCommand(["rdma_ctl", "status"])
guard result.exitCode == 0 else { return nil }
let output = result.output.lowercased().trimmingCharacters(in: .whitespacesAndNewlines)
if output.contains("enabled") {
return true
}
if output.contains("disabled") {
return false
}
return nil
}
private func readRDMADevices() -> [String] {
let result = runCommand(["ibv_devices"])
guard result.exitCode == 0 else { return [] }
+200
View File
@@ -0,0 +1,200 @@
import AppKit
import SwiftUI
/// A popover callout anchored to the menu bar icon on every launch,
/// pointing the user to the web dashboard with an arrow connecting to the icon.
@MainActor
final class FirstLaunchPopout {
private var popover: NSPopover?
private var countdownTask: Task<Void, Never>?
private static let dashboardURL = "http://localhost:52415/"
/// Called when the user completes onboarding (clicks Open Dashboard or dismisses).
var onComplete: (() -> Void)?
func show() {
guard popover == nil else { return }
// The status bar button may not exist yet on first launch; retry generously.
showWithRetry(attemptsRemaining: 15)
}
private func showWithRetry(attemptsRemaining: Int) {
guard attemptsRemaining > 0 else {
// Exhausted retries fall back to just opening the dashboard directly.
openDashboard()
onComplete?()
return
}
guard let button = Self.findStatusItemButton() else {
DispatchQueue.main.asyncAfter(deadline: .now() + 1.0) { [weak self] in
self?.showWithRetry(attemptsRemaining: attemptsRemaining - 1)
}
return
}
let pop = NSPopover()
pop.behavior = .applicationDefined
pop.animates = true
pop.contentSize = NSSize(width: 280, height: 120)
pop.contentViewController = NSHostingController(
rootView: WelcomeCalloutView(
countdownDuration: 10,
onDismiss: { [weak self] in
self?.onComplete?()
self?.dismiss()
},
onOpen: { [weak self] in
self?.openDashboard()
self?.onComplete?()
self?.dismiss()
}
)
)
self.popover = pop
pop.show(relativeTo: button.bounds, of: button, preferredEdge: .minY)
// Auto-open dashboard after 10s then dismiss
countdownTask = Task {
try? await Task.sleep(nanoseconds: 10_000_000_000)
if !Task.isCancelled {
openDashboard()
onComplete?()
dismiss()
}
}
}
func dismiss() {
countdownTask?.cancel()
countdownTask = nil
guard let pop = popover else { return }
popover = nil
pop.performClose(nil)
}
private func openDashboard() {
guard let url = URL(string: Self.dashboardURL) else { return }
NSWorkspace.shared.open(url)
}
/// Finds the NSStatusBarButton created by SwiftUI's MenuBarExtra.
/// Walks the view hierarchy to find the actual button rather than the content view.
private static func findStatusItemButton() -> NSView? {
for window in NSApp.windows {
let className = NSStringFromClass(type(of: window))
// Match NSStatusBarWindow or any internal SwiftUI status bar window
guard className.contains("StatusBar") || className.contains("MenuBarExtra") else {
continue
}
if let content = window.contentView {
if let button = findButton(in: content) {
return button
}
// Fall back to the content view itself if it has a non-zero frame
if content.frame.width > 0 {
return content
}
}
}
return nil
}
/// Recursively searches the view hierarchy for an NSStatusBarButton.
private static func findButton(in view: NSView) -> NSView? {
let className = NSStringFromClass(type(of: view))
if className.contains("StatusBarButton") || className.contains("StatusItem") {
return view
}
for subview in view.subviews {
if let found = findButton(in: subview) {
return found
}
}
return nil
}
}
/// Minimal welcome callout friendly pointer, not a wall of text.
/// Rendered inside the NSPopover which provides its own chrome and arrow.
private struct WelcomeCalloutView: View {
let countdownDuration: Int
let onDismiss: () -> Void
let onOpen: () -> Void
@State private var countdown: Int
@State private var timerTask: Task<Void, Never>?
init(countdownDuration: Int, onDismiss: @escaping () -> Void, onOpen: @escaping () -> Void) {
self.countdownDuration = countdownDuration
self.onDismiss = onDismiss
self.onOpen = onOpen
self._countdown = State(initialValue: countdownDuration)
}
var body: some View {
VStack(alignment: .leading, spacing: 10) {
HStack(alignment: .top) {
Text("EXO is running")
.font(.system(.headline, design: .rounded))
.fontWeight(.semibold)
.foregroundColor(.primary)
Spacer()
Button {
onDismiss()
} label: {
Image(systemName: "xmark.circle.fill")
.font(.system(size: 14))
.foregroundStyle(.tertiary)
}
.buttonStyle(.plain)
}
Text("Run your first model here:")
.font(.system(.subheadline, design: .default))
.foregroundColor(.secondary)
HStack {
Button {
onOpen()
} label: {
Label("Open Dashboard", systemImage: "arrow.up.right.square")
.font(.system(.caption, design: .default))
.fontWeight(.medium)
}
.buttonStyle(.borderedProminent)
.tint(.accentColor)
.controlSize(.small)
Spacer()
if countdown > 0 {
Text("Launching in \(countdown) secs...")
.font(.system(.caption2, design: .default))
.foregroundColor(.secondary.opacity(0.6))
.monospacedDigit()
}
}
}
.padding(14)
.onAppear {
startCountdown()
}
.onDisappear {
timerTask?.cancel()
timerTask = nil
}
}
private func startCountdown() {
timerTask = Task {
while countdown > 0 {
try? await Task.sleep(nanoseconds: 1_000_000_000)
if !Task.isCancelled {
countdown -= 1
}
}
}
}
}
+504
View File
@@ -0,0 +1,504 @@
import AppKit
import SwiftUI
/// Native macOS Settings window following Apple HIG.
/// Organized into General, Model, Advanced, and About sections.
struct SettingsView: View {
@EnvironmentObject private var controller: ExoProcessController
@EnvironmentObject private var updater: SparkleUpdater
@EnvironmentObject private var networkStatusService: NetworkStatusService
@EnvironmentObject private var thunderboltBridgeService: ThunderboltBridgeService
@EnvironmentObject private var stateService: ClusterStateService
@State private var pendingNamespace: String = ""
@State private var pendingHFToken: String = ""
@State private var pendingHFEndpoint: String = ""
@State private var pendingEnableImageModels = false
@State private var pendingOfflineMode = false
@State private var needsRestart = false
@State private var bugReportInFlight = false
@State private var bugReportMessage: String?
@State private var uninstallInProgress = false
var body: some View {
TabView {
generalTab
.tabItem {
Label("General", systemImage: "gear")
}
modelTab
.tabItem {
Label("Model", systemImage: "cube")
}
advancedTab
.tabItem {
Label("Advanced", systemImage: "wrench.and.screwdriver")
}
aboutTab
.tabItem {
Label("About", systemImage: "info.circle")
}
}
.frame(width: 450, height: 400)
.onAppear {
pendingNamespace = controller.customNamespace
pendingHFToken = controller.hfToken
pendingHFEndpoint = controller.hfEndpoint
pendingEnableImageModels = controller.enableImageModels
pendingOfflineMode = controller.offlineMode
needsRestart = false
}
}
// MARK: - General Tab
private var generalTab: some View {
Form {
Section {
LabeledContent("Cluster Namespace") {
TextField("default", text: $pendingNamespace)
.textFieldStyle(.roundedBorder)
.frame(width: 200)
}
Text("Nodes with the same namespace form a cluster. Leave empty for default.")
.font(.caption)
.foregroundColor(.secondary)
}
Section {
LabeledContent("HuggingFace Token") {
SecureField("optional", text: $pendingHFToken)
.textFieldStyle(.roundedBorder)
.frame(width: 200)
}
Text("Required for gated models. Get yours at huggingface.co/settings/tokens")
.font(.caption)
.foregroundColor(.secondary)
}
Section {
LabeledContent("HuggingFace Endpoint") {
TextField("default", text: $pendingHFEndpoint)
.textFieldStyle(.roundedBorder)
.frame(width: 200)
}
Text("Defaults to huggingface.co. Use a mirror (e.g. hf-mirror.com) for China.")
.font(.caption)
.foregroundColor(.secondary)
}
Section {
Toggle("Offline Mode", isOn: $pendingOfflineMode)
Text("Skip internet checks and use only locally available models.")
.font(.caption)
.foregroundColor(.secondary)
}
Section {
HStack {
Spacer()
Button("Save & Restart") {
applyGeneralSettings()
}
.disabled(!hasGeneralChanges)
}
}
}
.formStyle(.grouped)
.padding()
}
// MARK: - Model Tab
private var modelTab: some View {
Form {
Section {
Toggle("Enable Image Models (experimental)", isOn: $pendingEnableImageModels)
Text("Allow text-to-image and image-to-image models in the model picker.")
.font(.caption)
.foregroundColor(.secondary)
}
Section {
HStack {
Spacer()
Button("Save & Restart") {
applyModelSettings()
}
.disabled(!hasModelChanges)
}
}
}
.formStyle(.grouped)
.padding()
}
// MARK: - Advanced Tab
private var advancedTab: some View {
Form {
Section("Onboarding") {
HStack {
VStack(alignment: .leading) {
Text("Reset Onboarding")
Text("Opens the dashboard and resets the onboarding wizard.")
.font(.caption)
.foregroundColor(.secondary)
}
Spacer()
Button("Reset") {
guard let url = URL(string: "http://localhost:52415/?reset-onboarding")
else { return }
NSWorkspace.shared.open(url)
}
}
}
Section("Debug Info") {
LabeledContent("Thunderbolt Bridge") {
Text(thunderboltStatusText)
.foregroundColor(thunderboltStatusColor)
}
VStack(alignment: .leading, spacing: 2) {
clusterThunderboltBridgeView
}
VStack(alignment: .leading, spacing: 2) {
interfaceIpList
}
VStack(alignment: .leading, spacing: 2) {
rdmaStatusView
}
sendBugReportButton
}
Section("Danger Zone") {
Button(role: .destructive) {
showUninstallConfirmationAlert()
} label: {
HStack {
Text("Uninstall EXO")
Spacer()
Image(systemName: "trash")
.imageScale(.small)
}
}
.disabled(uninstallInProgress)
}
}
.formStyle(.grouped)
.padding()
}
// MARK: - About Tab
private var aboutTab: some View {
Form {
Section {
LabeledContent("Version") {
Text(buildTag)
.textSelection(.enabled)
}
LabeledContent("Commit") {
Text(buildCommit)
.font(.system(.body, design: .monospaced))
.textSelection(.enabled)
}
}
Section {
Button("Check for Updates") {
updater.checkForUpdates()
}
}
}
.formStyle(.grouped)
.padding()
}
// MARK: - Debug Info Views (moved from ContentView)
private var thunderboltStatusText: String {
switch networkStatusService.status.thunderboltBridgeState {
case .some(.disabled):
return "Disabled"
case .some(.deleted):
return "Deleted"
case .some(.enabled):
return "Enabled"
case nil:
return "Unknown"
}
}
private var thunderboltStatusColor: Color {
switch networkStatusService.status.thunderboltBridgeState {
case .some(.disabled), .some(.deleted):
return .green
case .some(.enabled):
return .red
case nil:
return .secondary
}
}
private var clusterThunderboltBridgeView: some View {
let bridgeStatuses = stateService.latestSnapshot?.nodeThunderboltBridge ?? [:]
let localNodeId = stateService.localNodeId
let nodeProfiles = stateService.latestSnapshot?.nodeProfiles ?? [:]
return VStack(alignment: .leading, spacing: 1) {
if bridgeStatuses.isEmpty {
Text("Cluster TB Bridge: No data")
.font(.caption2)
.foregroundColor(.secondary)
} else {
Text("Cluster TB Bridge Status:")
.font(.caption2)
.foregroundColor(.secondary)
ForEach(Array(bridgeStatuses.keys.sorted()), id: \.self) { nodeId in
if let status = bridgeStatuses[nodeId] {
let nodeName =
nodeProfiles[nodeId]?.friendlyName ?? String(nodeId.prefix(8))
let isLocal = nodeId == localNodeId
let prefix = isLocal ? " \(nodeName) (local):" : " \(nodeName):"
let statusText =
!status.exists
? "N/A"
: (status.enabled ? "Enabled" : "Disabled")
let color: Color =
!status.exists
? .secondary
: (status.enabled ? .red : .green)
Text("\(prefix) \(statusText)")
.font(.caption2)
.foregroundColor(color)
}
}
}
}
}
private var interfaceIpList: some View {
let statuses = networkStatusService.status.interfaceStatuses
return VStack(alignment: .leading, spacing: 1) {
Text("Interfaces (en0en7):")
.font(.caption2)
.foregroundColor(.secondary)
if statuses.isEmpty {
Text(" Unknown")
.font(.caption2)
.foregroundColor(.secondary)
} else {
ForEach(statuses, id: \.interfaceName) { status in
let ipText = status.ipAddress ?? "No IP"
Text(" \(status.interfaceName): \(ipText)")
.font(.caption2)
.foregroundColor(status.ipAddress == nil ? .red : .green)
}
}
}
}
private var rdmaStatusView: some View {
let rdmaStatuses = stateService.latestSnapshot?.nodeRdmaCtl ?? [:]
let localNodeId = stateService.localNodeId
let nodeProfiles = stateService.latestSnapshot?.nodeProfiles ?? [:]
let localDevices = networkStatusService.status.localRdmaDevices
let localPorts = networkStatusService.status.localRdmaActivePorts
return VStack(alignment: .leading, spacing: 1) {
if rdmaStatuses.isEmpty {
Text("Cluster RDMA: No data")
.font(.caption2)
.foregroundColor(.secondary)
} else {
Text("Cluster RDMA Status:")
.font(.caption2)
.foregroundColor(.secondary)
ForEach(Array(rdmaStatuses.keys.sorted()), id: \.self) { nodeId in
if let status = rdmaStatuses[nodeId] {
let nodeName =
nodeProfiles[nodeId]?.friendlyName ?? String(nodeId.prefix(8))
let isLocal = nodeId == localNodeId
let prefix = isLocal ? " \(nodeName) (local):" : " \(nodeName):"
let statusText = status.enabled ? "Enabled" : "Disabled"
let color: Color = status.enabled ? .green : .orange
Text("\(prefix) \(statusText)")
.font(.caption2)
.foregroundColor(color)
}
}
}
if !localDevices.isEmpty {
Text(" Local Devices: \(localDevices.joined(separator: ", "))")
.font(.caption2)
.foregroundColor(.secondary)
}
if !localPorts.isEmpty {
Text(" Local Active Ports:")
.font(.caption2)
.foregroundColor(.secondary)
ForEach(localPorts, id: \.device) { port in
Text(" \(port.device) port \(port.port): \(port.state)")
.font(.caption2)
.foregroundColor(.green)
}
}
}
}
private var sendBugReportButton: some View {
VStack(alignment: .leading, spacing: 4) {
Button {
Task {
await sendBugReport()
}
} label: {
HStack {
if bugReportInFlight {
ProgressView()
.scaleEffect(0.6)
}
Text("Send Bug Report")
.font(.caption)
.fontWeight(.semibold)
Spacer()
}
}
.disabled(bugReportInFlight)
if let message = bugReportMessage {
Text(message)
.font(.caption2)
.foregroundColor(.secondary)
.fixedSize(horizontal: false, vertical: true)
}
}
}
// MARK: - Actions
private func sendBugReport() async {
bugReportInFlight = true
bugReportMessage = "Collecting logs..."
let service = BugReportService()
do {
let outcome = try await service.sendReport(isManual: true)
bugReportMessage = outcome.message
} catch {
bugReportMessage = error.localizedDescription
}
bugReportInFlight = false
}
private func showUninstallConfirmationAlert() {
let alert = NSAlert()
alert.messageText = "Uninstall EXO"
alert.informativeText = """
This will remove EXO and all its system components:
• Network configuration daemon
• Launch at login registration
• EXO network location
The app will be moved to Trash.
"""
alert.alertStyle = .warning
alert.addButton(withTitle: "Uninstall")
alert.addButton(withTitle: "Cancel")
if let uninstallButton = alert.buttons.first {
uninstallButton.hasDestructiveAction = true
}
let response = alert.runModal()
if response == .alertFirstButtonReturn {
performUninstall()
}
}
private func performUninstall() {
uninstallInProgress = true
controller.cancelPendingLaunch()
controller.stop()
stateService.stopPolling()
DispatchQueue.global(qos: .utility).async {
do {
try NetworkSetupHelper.uninstall()
DispatchQueue.main.async {
LaunchAtLoginHelper.disable()
self.moveAppToTrash()
DispatchQueue.main.asyncAfter(deadline: .now() + 0.5) {
NSApplication.shared.terminate(nil)
}
}
} catch {
DispatchQueue.main.async {
let errorAlert = NSAlert()
errorAlert.messageText = "Uninstall Failed"
errorAlert.informativeText = error.localizedDescription
errorAlert.alertStyle = .critical
errorAlert.addButton(withTitle: "OK")
errorAlert.runModal()
self.uninstallInProgress = false
}
}
}
}
private func moveAppToTrash() {
guard let appURL = Bundle.main.bundleURL as URL? else { return }
do {
try FileManager.default.trashItem(at: appURL, resultingItemURL: nil)
} catch {
// If we can't trash the app, that's OK - user can do it manually
}
}
// MARK: - Helpers
private var hasGeneralChanges: Bool {
pendingNamespace != controller.customNamespace || pendingHFToken != controller.hfToken
|| pendingHFEndpoint != controller.hfEndpoint
|| pendingOfflineMode != controller.offlineMode
}
private var hasModelChanges: Bool {
pendingEnableImageModels != controller.enableImageModels
}
private func applyGeneralSettings() {
controller.customNamespace = pendingNamespace
controller.hfToken = pendingHFToken
controller.hfEndpoint = pendingHFEndpoint
controller.offlineMode = pendingOfflineMode
restartIfRunning()
}
private func applyModelSettings() {
controller.enableImageModels = pendingEnableImageModels
restartIfRunning()
}
private func restartIfRunning() {
if controller.status == .running || controller.status == .starting {
controller.restart()
}
}
private var buildTag: String {
Bundle.main.infoDictionary?["EXOBuildTag"] as? String ?? "unknown"
}
private var buildCommit: String {
Bundle.main.infoDictionary?["EXOBuildCommit"] as? String ?? "unknown"
}
}
@@ -0,0 +1,47 @@
import AppKit
import SwiftUI
/// Manages a standalone native macOS Settings window.
/// Ensures only one instance exists and brings it to front on repeated opens.
@MainActor
final class SettingsWindowController: ObservableObject {
private var window: NSWindow?
func open(
controller: ExoProcessController,
updater: SparkleUpdater,
networkStatusService: NetworkStatusService,
thunderboltBridgeService: ThunderboltBridgeService,
stateService: ClusterStateService
) {
if let existing = window, existing.isVisible {
existing.makeKeyAndOrderFront(nil)
NSApp.activate(ignoringOtherApps: true)
return
}
let settingsView = SettingsView()
.environmentObject(controller)
.environmentObject(updater)
.environmentObject(networkStatusService)
.environmentObject(thunderboltBridgeService)
.environmentObject(stateService)
let hostingView = NSHostingView(rootView: settingsView)
let newWindow = NSWindow(
contentRect: NSRect(x: 0, y: 0, width: 450, height: 400),
styleMask: [.titled, .closable],
backing: .buffered,
defer: false
)
newWindow.title = "EXO Settings"
newWindow.contentView = hostingView
newWindow.center()
newWindow.isReleasedWhenClosed = false
newWindow.makeKeyAndOrderFront(nil)
NSApp.activate(ignoringOtherApps: true)
window = newWindow
}
}
+85
View File
@@ -0,0 +1,85 @@
//
// main.swift
// EXO
//
// Created by Jake Hillion on 2026-02-03.
//
import Foundation
/// Command line options for the EXO app
enum CLICommand {
case install
case uninstall
case help
case none
}
/// Parse command line arguments to determine the CLI command
func parseArguments() -> CLICommand {
let args = CommandLine.arguments
if args.contains("--help") || args.contains("-h") {
return .help
}
if args.contains("--install") {
return .install
}
if args.contains("--uninstall") {
return .uninstall
}
return .none
}
/// Print usage information
func printUsage() {
let programName = (CommandLine.arguments.first as NSString?)?.lastPathComponent ?? "EXO"
print(
"""
Usage: \(programName) [OPTIONS]
Options:
--install Install EXO network configuration (requires root)
--uninstall Uninstall EXO network configuration (requires root)
--help, -h Show this help message
When run without options, starts the normal GUI application.
Examples:
sudo \(programName) --install Install network components as root
sudo \(programName) --uninstall Remove network components as root
""")
}
/// Check if running as root
func isRunningAsRoot() -> Bool {
return getuid() == 0
}
// Main entry point
let command = parseArguments()
switch command {
case .help:
printUsage()
exit(0)
case .install:
if !isRunningAsRoot() {
fputs("Error: --install requires root privileges. Run with sudo.\n", stderr)
exit(1)
}
let success = NetworkSetupHelper.installDirectly()
exit(success ? 0 : 1)
case .uninstall:
if !isRunningAsRoot() {
fputs("Error: --uninstall requires root privileges. Run with sudo.\n", stderr)
exit(1)
}
let success = NetworkSetupHelper.uninstallDirectly()
exit(success ? 0 : 1)
case .none:
// Start normal GUI application
EXOApp.main()
}
+5
View File
@@ -0,0 +1,5 @@
# Canary benchmark manifest
#
# Lists the suite files to include. Each file defines benchmarks
# with shared constraints, topology, and default args.
include = ["single-m3-ultra.toml"]
+292
View File
@@ -0,0 +1,292 @@
# Model evaluation configurations for exo_eval.
#
# Each [[model]] entry uses `patterns` — a list of substrings matched
# against the model_id. First matching entry wins.
#
# Required fields:
# name, patterns, reasoning
#
# Optional per-model overrides (CLI flags take priority over these):
# temperature, top_p, max_tokens, reasoning_effort
#
# Fallback defaults (when no per-model config):
# reasoning: temperature=1.0, max_tokens=131072, reasoning_effort="high"
# non-reasoning: temperature=0.0, max_tokens=16384
#
# All per-model values below are sourced from official model cards,
# generation_config.json files, and vendor documentation.
# ─── Qwen3.5 (Feb 2026) ─────────────────────────────────────────────
# Source: HuggingFace model cards (Qwen/Qwen3.5-*)
# 35B-A3B thinking general: temp=1.0, top_p=0.95, top_k=20
# 397B thinking: temp=0.6, top_p=0.95, top_k=20
# Non-thinking: temp=0.7, top_p=0.8, top_k=20
# max_tokens: 32768 general, 81920 for complex math/code
[[model]]
name = "Qwen3.5 2B"
patterns = ["Qwen3.5-2B"]
reasoning = true
temperature = 0.6
top_p = 0.95
max_tokens = 81920
[[model]]
name = "Qwen3.5 9B"
patterns = ["Qwen3.5-9B"]
reasoning = true
temperature = 0.6
top_p = 0.95
max_tokens = 81920
[[model]]
name = "Qwen3.5 27B"
patterns = ["Qwen3.5-27B"]
reasoning = true
temperature = 0.6
top_p = 0.95
max_tokens = 81920
[[model]]
name = "Qwen3.5 35B A3B"
patterns = ["Qwen3.5-35B-A3B"]
reasoning = true
temperature = 1.0
top_p = 0.95
max_tokens = 81920
[[model]]
name = "Qwen3.5 122B A10B"
patterns = ["Qwen3.5-122B-A10B"]
reasoning = true
temperature = 0.6
top_p = 0.95
max_tokens = 81920
[[model]]
name = "Qwen3.5 397B A17B"
patterns = ["Qwen3.5-397B-A17B"]
reasoning = true
temperature = 0.6
top_p = 0.95
max_tokens = 81920
# ─── Qwen3 (Apr 2025) ───────────────────────────────────────────────
# Source: HuggingFace model cards (Qwen/Qwen3-*)
# Thinking: temp=0.6, top_p=0.95, top_k=20
# Non-thinking: temp=0.7, top_p=0.8, top_k=20
# max_tokens: 32768 general, 38912 for complex math/code
[[model]]
name = "Qwen3 0.6B"
patterns = ["Qwen3-0.6B"]
reasoning = true
temperature = 0.6
top_p = 0.95
max_tokens = 38912
[[model]]
name = "Qwen3 30B A3B"
patterns = ["Qwen3-30B-A3B"]
reasoning = true
temperature = 0.6
top_p = 0.95
max_tokens = 38912
[[model]]
name = "Qwen3 235B A22B"
patterns = ["Qwen3-235B-A22B"]
reasoning = true
temperature = 0.6
top_p = 0.95
max_tokens = 38912
[[model]]
name = "Qwen3 Next 80B Thinking"
patterns = ["Qwen3-Next-80B-A3B-Thinking"]
reasoning = true
temperature = 0.6
top_p = 0.95
max_tokens = 38912
[[model]]
name = "Qwen3 Next 80B Instruct"
patterns = ["Qwen3-Next-80B-A3B-Instruct"]
reasoning = false
temperature = 0.7
top_p = 0.8
max_tokens = 16384
[[model]]
name = "Qwen3 Coder 480B"
patterns = ["Qwen3-Coder-480B"]
reasoning = false
temperature = 0.7
top_p = 0.8
max_tokens = 16384
[[model]]
name = "Qwen3 Coder Next"
patterns = ["Qwen3-Coder-Next"]
reasoning = false
temperature = 0.7
top_p = 0.8
max_tokens = 16384
# ─── GPT-OSS (OpenAI) ───────────────────────────────────────────────
# Source: OpenAI GitHub README + HuggingFace discussion #21
# temp=1.0, top_p=1.0, NO top_k, NO repetition_penalty
# reasoning_effort supported: low/medium/high
[[model]]
name = "GPT-OSS 20B"
patterns = ["gpt-oss-20b"]
reasoning = true
temperature = 1.0
top_p = 1.0
[[model]]
name = "GPT-OSS 120B"
patterns = ["gpt-oss-120b"]
reasoning = true
temperature = 1.0
top_p = 1.0
# ─── DeepSeek ────────────────────────────────────────────────────────
# Source: https://api-docs.deepseek.com/quick_start/parameter_settings
# Coding/Math: temp=0.0, General: temp=1.3, Creative: temp=1.5
# NOTE: DeepSeek API applies nonlinear temp mapping. These are API values.
# When running model directly: API temp 1.0 = model temp 0.3
# We use temp=0.0 for eval (coding/math focus).
[[model]]
name = "DeepSeek V3.1"
patterns = ["DeepSeek-V3.1"]
reasoning = true
temperature = 0.0
# ─── GLM (ZhipuAI / THUDM) ──────────────────────────────────────────
# Source: HuggingFace model cards + generation_config.json + docs.z.ai
# GLM 4.5+: temp=1.0, top_p=0.95
# Reasoning tasks: 131072 max_tokens; coding/SWE tasks: temp=0.7
[[model]]
name = "GLM-5"
patterns = ["GLM-5"]
reasoning = true
temperature = 1.0
top_p = 0.95
max_tokens = 131072
[[model]]
name = "GLM 4.5 Air"
patterns = ["GLM-4.5-Air"]
reasoning = true
temperature = 1.0
top_p = 0.95
[[model]]
name = "GLM 4.7"
patterns = ["GLM-4.7-"]
reasoning = true
temperature = 1.0
top_p = 0.95
max_tokens = 131072
# Note: matches both GLM-4.7 and GLM-4.7-Flash
# ─── Kimi (Moonshot AI) ─────────────────────────────────────────────
# Source: HuggingFace model cards (moonshotai/Kimi-K2-*)
# K2-Instruct: temp=0.6
# K2-Thinking: temp=1.0, max_length=262144
# K2.5: thinking temp=1.0, top_p=0.95; instant temp=0.6, top_p=0.95
[[model]]
name = "Kimi K2 Thinking"
patterns = ["Kimi-K2-Thinking"]
reasoning = true
temperature = 1.0
max_tokens = 131072
[[model]]
name = "Kimi K2.5"
patterns = ["Kimi-K2.5"]
reasoning = true
temperature = 1.0
top_p = 0.95
max_tokens = 131072
[[model]]
name = "Kimi K2 Instruct"
patterns = ["Kimi-K2-Instruct"]
reasoning = false
temperature = 0.6
# ─── MiniMax ─────────────────────────────────────────────────────────
# Source: HuggingFace model cards + generation_config.json
# All models: temp=1.0, top_p=0.95, top_k=40
[[model]]
name = "MiniMax M2.5"
patterns = ["MiniMax-M2.5"]
reasoning = true
temperature = 1.0
top_p = 0.95
[[model]]
name = "MiniMax M2.1"
patterns = ["MiniMax-M2.1"]
reasoning = true
temperature = 1.0
top_p = 0.95
# ─── Step (StepFun) ─────────────────────────────────────────────────
# Source: HuggingFace model card (stepfun-ai/Step-3.5-Flash)
# Reasoning: temp=1.0, top_p=0.95
# General chat: temp=0.6, top_p=0.95
# We use reasoning settings for eval.
[[model]]
name = "Step 3.5 Flash"
patterns = ["Step-3.5-Flash"]
reasoning = true
temperature = 1.0
top_p = 0.95
# ─── Llama (Meta) ───────────────────────────────────────────────────
# Source: generation_config.json + meta-llama/llama-models generation.py
# All variants: temp=0.6, top_p=0.9
[[model]]
name = "Llama 3.2 1B"
patterns = ["Llama-3.2-1B"]
reasoning = false
temperature = 0.6
top_p = 0.9
[[model]]
name = "Llama 3.2 3B"
patterns = ["Llama-3.2-3B"]
reasoning = false
temperature = 0.6
top_p = 0.9
[[model]]
name = "Llama 3.1 8B"
patterns = ["Llama-3.1-8B", "Meta-Llama-3.1-8B"]
reasoning = false
temperature = 0.6
top_p = 0.9
[[model]]
name = "Llama 3.1 70B"
patterns = ["Llama-3.1-70B", "Meta-Llama-3.1-70B"]
reasoning = false
temperature = 0.6
top_p = 0.9
[[model]]
name = "Llama 3.3 70B"
patterns = ["Llama-3.3-70B", "llama-3.3-70b"]
reasoning = false
temperature = 0.6
top_p = 0.9
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+329 -301
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@@ -1,21 +1,49 @@
# type: ignore
#!/usr/bin/env python3
# pyright: reportAny=false, reportUnknownMemberType=false, reportUnknownVariableType=false, reportUnknownArgumentType=false
"""Tool-calling eval for exo's OpenAI-compatible API.
Tests whether models correctly:
- Trigger tool calls when appropriate
- Return valid JSON arguments matching function schemas
- Handle multi-turn tool use (call -> result -> final answer)
- Avoid calling tools when unnecessary
Start exo with a model first, then run:
uv run python tool_call_eval.py --model <model-id>
uv run python tool_call_eval.py --model <model-id> --host 10.0.0.5 --port 52415
uv run python tool_call_eval.py --model <model-id> --repeat 3
uv run python tool_call_eval.py --model <model-id> --scenarios weather_simple calculator_multi_turn
"""
from __future__ import annotations
import argparse
import contextlib
import http.client
import itertools
import json
import os
import sys
import threading
import time
from collections.abc import Callable
from concurrent.futures import ThreadPoolExecutor, as_completed
from pathlib import Path
from statistics import mean
from typing import Any
from urllib.parse import urlencode
from harness import (
ExoClient,
ExoHttpError,
add_common_instance_args,
capture_cluster_snapshot,
instance_id_from_instance,
node_ids_from_instance,
nodes_used_in_instance,
resolve_model_short_id,
run_planning_phase,
settle_and_fetch_placements,
wait_for_instance_gone,
wait_for_instance_ready,
)
from loguru import logger
from transformers import AutoTokenizer
@@ -51,7 +79,7 @@ def load_tokenizer_for_bench(model_id: str) -> Any:
model_path = Path(
snapshot_download(
model_id,
allow_patterns=["*.json", "*.py", "*.tiktoken"],
allow_patterns=["*.json", "*.py", "*.tiktoken", "*.model"],
)
)
@@ -98,154 +126,6 @@ def load_tokenizer_for_bench(model_id: str) -> Any:
return AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
class ExoHttpError(RuntimeError):
def __init__(self, status: int, reason: str, body_preview: str):
super().__init__(f"HTTP {status} {reason}: {body_preview}")
self.status = status
class ExoClient:
def __init__(self, host: str, port: int, timeout_s: float = 7200.0):
self.host = host
self.port = port
self.timeout_s = timeout_s
def request_json(
self,
method: str,
path: str,
params: dict[str, Any] | None = None,
body: dict[str, Any] | None = None,
headers: dict[str, str] | None = None,
) -> Any:
if not path.startswith("/"):
path = "/" + path
if params:
path = path + "?" + urlencode(params)
conn = http.client.HTTPConnection(self.host, self.port, timeout=self.timeout_s)
try:
payload: bytes | None = None
hdrs: dict[str, str] = {"Accept": "application/json"}
if body is not None:
payload = json.dumps(body).encode("utf-8")
hdrs["Content-Type"] = "application/json"
if headers:
hdrs.update(headers)
conn.request(method.upper(), path, body=payload, headers=hdrs)
resp = conn.getresponse()
raw = resp.read()
text = raw.decode("utf-8", errors="replace") if raw else ""
if resp.status >= 400:
raise ExoHttpError(resp.status, resp.reason, text[:300])
if not text:
return None
return json.loads(text)
finally:
conn.close()
def post_bench_chat_completions(self, payload: dict[str, Any]) -> dict[str, Any]:
return self.request_json("POST", "/bench/chat/completions", body=payload)
def unwrap_instance(instance: dict[str, Any]) -> dict[str, Any]:
if len(instance) != 1:
raise KeyError(f"Expected 1 key, got keys={list(instance.keys())}")
tag = next(iter(instance))
inner = instance[tag]
if not isinstance(inner, dict):
raise TypeError(f"payload for {tag} must be dict, got {type(inner)}")
return inner
def instance_id_from_instance(instance: dict[str, Any]) -> str:
inner = unwrap_instance(instance)
return str(inner["instanceId"])
def nodes_used_in_instance(instance: dict[str, Any]) -> int:
inner = unwrap_instance(instance)
return len(inner["shardAssignments"]["nodeToRunner"])
def runner_ids_from_instance(instance: dict[str, Any]) -> list[str]:
inner = unwrap_instance(instance)
runner_to_shard = inner["shardAssignments"]["runnerToShard"]
return list(runner_to_shard.keys())
def runner_ready(runner: dict[str, Any]) -> bool:
return "RunnerReady" in runner
def runner_failed(runner: dict[str, Any]) -> bool:
return "RunnerFailed" in runner
def get_runner_failed_message(runner: dict[str, Any]) -> str | None:
if "RunnerFailed" in runner:
return runner["RunnerFailed"].get("errorMessage")
return None
def wait_for_instance_ready(
client: ExoClient, instance_id: str, timeout: float = 24000.0
) -> None:
start_time = time.time()
instance_existed = False
while time.time() - start_time < timeout:
state = client.request_json("GET", "/state")
instances = state.get("instances", {})
if instance_id not in instances:
if instance_existed:
# Instance was deleted after being created - likely due to runner failure
raise RuntimeError(
f"Instance {instance_id} was deleted (runner may have failed)"
)
time.sleep(0.1)
continue
instance_existed = True
instance = instances[instance_id]
runner_ids = runner_ids_from_instance(instance)
runners = state.get("runners", {})
# Check for failed runners first
for rid in runner_ids:
runner = runners.get(rid, {})
if runner_failed(runner):
error_msg = get_runner_failed_message(runner) or "Unknown error"
raise RuntimeError(f"Runner {rid} failed: {error_msg}")
if all(runner_ready(runners.get(rid, {})) for rid in runner_ids):
return
time.sleep(0.1)
raise TimeoutError(f"Instance {instance_id} did not become ready within {timeout=}")
def wait_for_instance_gone(
client: ExoClient, instance_id: str, timeout: float = 3.0
) -> None:
start_time = time.time()
while time.time() - start_time < timeout:
try:
client.request_json("GET", f"/instance/{instance_id}")
time.sleep(0.4)
except ExoHttpError as e:
if e.status == 404:
return
raise TimeoutError(f"Instance {instance_id} did not get deleted within {timeout=}")
def format_peak_memory(b: float) -> str:
for unit in ["B", "KB", "MB", "GB", "TB"]:
if b < 1024.0:
@@ -254,6 +134,91 @@ def format_peak_memory(b: float) -> str:
raise ValueError("You're using petabytes of memory. Something went wrong...")
_SAMPLER_METRICS = ("gpuUsage", "temp", "sysPower", "pcpuUsage", "ecpuUsage")
class SystemMetricsSampler:
def __init__(self, client: ExoClient, node_ids: list[str], interval_s: float = 1.0):
self._client = client
self._node_ids = node_ids
self._interval_s = interval_s
self._samples: dict[str, list[tuple[float, dict[str, float]]]] = {
nid: [] for nid in node_ids
}
self._stop = threading.Event()
self._thread: threading.Thread | None = None
def start(self) -> None:
self._stop.clear()
self._thread = threading.Thread(target=self._poll_loop, daemon=True)
self._thread.start()
def stop(self) -> None:
self._stop.set()
if self._thread:
self._thread.join(timeout=5)
def _poll_loop(self) -> None:
while not self._stop.is_set():
t = time.monotonic()
for nid in self._node_ids:
try:
data = self._client.get_node_system(nid)
if data:
self._samples[nid].append(
(t, {k: data.get(k, 0.0) for k in _SAMPLER_METRICS})
)
except Exception:
pass
self._stop.wait(self._interval_s)
def energy_between(self, t0: float, t1: float) -> float:
total_joules = 0.0
for _nid, samples in self._samples.items():
window = [(t, s["sysPower"]) for t, s in samples if t0 <= t <= t1]
if len(window) >= 2:
for i in range(1, len(window)):
dt = window[i][0] - window[i - 1][0]
avg_power = (window[i][1] + window[i - 1][1]) / 2
total_joules += avg_power * dt
elif len(window) == 1:
total_joules += window[0][1] * (t1 - t0)
return total_joules
def summarize(self) -> dict[str, dict[str, dict[str, float]]]:
result: dict[str, dict[str, dict[str, float]]] = {}
for nid, samples in self._samples.items():
if not samples:
continue
metrics: dict[str, dict[str, float]] = {}
for key in _SAMPLER_METRICS:
values = [s[key] for t, s in samples]
metrics[key] = {
"min": round(min(values), 2),
"max": round(max(values), 2),
"mean": round(mean(values), 2),
"samples": len(values),
}
result[nid] = metrics
return result
def print_summary(self, placement_label: str) -> None:
summary = self.summarize()
if not summary:
return
logger.info(f"--- System Metrics ({placement_label}) ---")
for nid, metrics in summary.items():
gpu = metrics.get("gpuUsage", {})
temp = metrics.get("temp", {})
power = metrics.get("sysPower", {})
logger.info(
f" {nid}: "
f"GPU {gpu.get('mean', 0) * 100:.0f}% avg ({gpu.get('min', 0) * 100:.0f}{gpu.get('max', 0) * 100:.0f}%) | "
f"{temp.get('mean', 0):.1f}°C avg | "
f"{power.get('mean', 0):.1f}W avg"
)
def parse_int_list(values: list[str]) -> list[int]:
items: list[int] = []
for v in values:
@@ -264,39 +229,6 @@ def parse_int_list(values: list[str]) -> list[int]:
return items
def resolve_model_short_id(client: ExoClient, model_arg: str) -> tuple[str, str]:
models = client.request_json("GET", "/models") or {}
data = models.get("data") or []
for m in data:
if m.get("name").lower() == model_arg.lower():
short_id = str(m["name"])
full_id = str(m.get("hugging_face_id") or m["name"])
return short_id, full_id
for m in data:
if m.get("hugging_face_id") == model_arg:
short_id = str(m["name"])
full_id = str(m["hugging_face_id"])
return short_id, full_id
raise ValueError(f"Model not found in /models: {model_arg}")
def placement_filter(instance_meta: str, wanted: str) -> bool:
s = (instance_meta or "").lower()
if wanted == "both":
return ("ring" in s) or ("jaccl" in s)
return wanted in s
def sharding_filter(sharding: str, wanted: str) -> bool:
s = (sharding or "").lower()
if wanted == "both":
return ("pipeline" in s) or ("tensor" in s)
return wanted in s
def run_one_completion(
client: ExoClient, model_id: str, pp_hint: int, tg: int, prompt_sizer: PromptSizer
) -> tuple[dict[str, Any], int]:
@@ -393,11 +325,7 @@ def main() -> int:
prog="exo-bench",
description="Benchmark exo model throughput across placement previews.",
)
ap.add_argument("--host", default=os.environ.get("EXO_HOST", "localhost"))
ap.add_argument(
"--port", type=int, default=int(os.environ.get("EXO_PORT", "52415"))
)
ap.add_argument("--model", required=True, help="Model short id or huggingface id")
add_common_instance_args(ap)
ap.add_argument(
"--pp",
nargs="+",
@@ -410,46 +338,27 @@ def main() -> int:
required=True,
help="Generation lengths (ints). Accepts commas.",
)
ap.add_argument(
"--max-nodes",
type=int,
default=4,
help="Only consider placements using <= this many nodes.",
)
ap.add_argument(
"--min-nodes",
type=int,
default=1,
help="Only consider placements using >= this many nodes.",
)
ap.add_argument(
"--instance-meta", choices=["ring", "jaccl", "both"], default="both"
)
ap.add_argument(
"--sharding", choices=["pipeline", "tensor", "both"], default="both"
)
ap.add_argument(
"--skip-pipeline-jaccl",
action="store_true",
help="Pipeline jaccl is often pointless, skip by default",
)
ap.add_argument(
"--repeat", type=int, default=1, help="Repetitions per (pp,tg) pair."
)
ap.add_argument(
"--concurrency",
nargs="+",
default=["1"],
help="Concurrency levels (ints). Accepts commas. E.g. --concurrency 1,2,4,8. Default 1.",
)
ap.add_argument(
"--warmup",
type=int,
default=0,
help="Warmup runs per placement (uses first pp/tg).",
)
ap.add_argument(
"--timeout", type=float, default=7200.0, help="HTTP timeout (seconds)."
)
ap.add_argument(
"--json-out",
default="bench/results.json",
help="Write raw per-run results JSON to this path.",
)
ap.add_argument("--stdout", action="store_true", help="Write results to stdout")
ap.add_argument(
"--dry-run", action="store_true", help="List selected placements and exit."
)
@@ -458,6 +367,17 @@ def main() -> int:
action="store_true",
help="Force all pp×tg combinations (cartesian product) even when lists have equal length.",
)
ap.add_argument(
"--no-system-metrics",
action="store_true",
help="Disable GPU utilization, temperature, and power collection during inference.",
)
ap.add_argument(
"--metrics-interval",
type=float,
default=1.0,
help="System metrics polling interval in seconds (default: 1.0).",
)
args = ap.parse_args()
pp_list = parse_int_list(args.pp)
@@ -468,6 +388,10 @@ def main() -> int:
if args.repeat <= 0:
logger.error("--repeat must be >= 1")
return 2
concurrency_list = parse_int_list(args.concurrency)
if not concurrency_list or any(c <= 0 for c in concurrency_list):
logger.error("--concurrency values must be >= 1")
return 2
# Log pairing mode
use_combinations = args.all_combinations or len(pp_list) != len(tg_list)
@@ -479,12 +403,9 @@ def main() -> int:
logger.info(f"pp/tg mode: tandem (zip) - {len(pp_list)} pairs")
client = ExoClient(args.host, args.port, timeout_s=args.timeout)
short_id, full_model_id = resolve_model_short_id(client, args.model)
previews_resp = client.request_json(
"GET", "/instance/previews", params={"model_id": full_model_id}
short_id, full_model_id = resolve_model_short_id(
client, args.model, force_download=args.force_download
)
previews = previews_resp.get("previews") or []
tokenizer = load_tokenizer_for_bench(full_model_id)
if tokenizer is None:
@@ -497,44 +418,9 @@ def main() -> int:
logger.error("[exo-bench] tokenizer usable but prompt sizing failed")
raise
selected: list[dict[str, Any]] = []
for p in previews:
if p.get("error") is not None:
continue
if not placement_filter(str(p.get("instance_meta", "")), args.instance_meta):
continue
if not sharding_filter(str(p.get("sharding", "")), args.sharding):
continue
instance = p.get("instance")
if not isinstance(instance, dict):
continue
n = nodes_used_in_instance(instance)
# Skip tensor ring single node as it is pointless when pipeline ring
if n == 1 and (
(args.sharding == "both" and "tensor" in p.get("sharding", "").lower())
or (
args.instance_meta == "both"
and "jaccl" in p.get("instance_meta", "").lower()
)
):
continue
if (
args.skip_pipeline_jaccl
and (
args.instance_meta == "both"
and "jaccl" in p.get("instance_meta", "").lower()
)
and (
args.sharding == "both" and "pipeline" in p.get("sharding", "").lower()
)
):
continue
if args.min_nodes <= n <= args.max_nodes:
selected.append(p)
selected = settle_and_fetch_placements(
client, full_model_id, args, settle_timeout=args.settle_timeout
)
if not selected:
logger.error("No valid placements matched your filters.")
@@ -559,7 +445,27 @@ def main() -> int:
if args.dry_run:
return 0
settle_deadline = (
time.monotonic() + args.settle_timeout if args.settle_timeout > 0 else None
)
logger.info("Planning phase: checking downloads...")
download_duration_s = run_planning_phase(
client,
full_model_id,
selected[0],
args.danger_delete_downloads,
args.timeout,
settle_deadline,
)
if download_duration_s is not None:
logger.info(f"Download: {download_duration_s:.1f}s (freshly downloaded)")
else:
logger.info("Download: model already cached")
cluster_snapshot = capture_cluster_snapshot(client)
all_rows: list[dict[str, Any]] = []
all_system_metrics: dict[str, dict[str, dict[str, float]]] = {}
for preview in selected:
instance = preview["instance"]
@@ -585,6 +491,16 @@ def main() -> int:
time.sleep(1)
sampler: SystemMetricsSampler | None = None
if not args.no_system_metrics:
nids = node_ids_from_instance(instance)
sampler = SystemMetricsSampler(
ExoClient(args.host, args.port, timeout_s=30),
nids,
interval_s=args.metrics_interval,
)
sampler.start()
try:
for i in range(args.warmup):
run_one_completion(
@@ -600,48 +516,152 @@ def main() -> int:
pp_tg_pairs = list(zip(pp_list, tg_list, strict=True))
for pp, tg in pp_tg_pairs:
runs: list[dict[str, Any]] = []
for r in range(args.repeat):
time.sleep(3)
try:
row, actual_pp_tokens = run_one_completion(
client, full_model_id, pp, tg, prompt_sizer
for concurrency in concurrency_list:
logger.info(f"--- pp={pp} tg={tg} concurrency={concurrency} ---")
runs: list[dict[str, Any]] = []
inference_windows: list[tuple[float, float]] = []
for r in range(args.repeat):
time.sleep(3)
if concurrency <= 1:
# Sequential: single request
try:
inf_t0 = time.monotonic()
row, actual_pp_tokens = run_one_completion(
client, full_model_id, pp, tg, prompt_sizer
)
inference_windows.append((inf_t0, time.monotonic()))
except Exception as e:
logger.error(e)
continue
row.update(
{
"model_short_id": short_id,
"model_id": full_model_id,
"placement_sharding": sharding,
"placement_instance_meta": instance_meta,
"placement_nodes": n_nodes,
"instance_id": instance_id,
"pp_tokens": actual_pp_tokens,
"tg": tg,
"repeat_index": r,
"concurrency": 1,
**(
{"download_duration_s": download_duration_s}
if download_duration_s is not None
else {}
),
}
)
runs.append(row)
all_rows.append(row)
else:
# Concurrent: fire N requests in parallel
# Each thread gets its own ExoClient (separate HTTP connection)
batch_results: list[tuple[dict[str, Any], int]] = []
batch_errors = 0
def _run_concurrent(
idx: int, *, _pp: int = pp, _tg: int = tg
) -> tuple[dict[str, Any], int]:
c = ExoClient(
args.host, args.port, timeout_s=args.timeout
)
return run_one_completion(
c, full_model_id, _pp, _tg, prompt_sizer
)
inf_t0 = time.monotonic()
with ThreadPoolExecutor(max_workers=concurrency) as pool:
futures = {
pool.submit(_run_concurrent, i): i
for i in range(concurrency)
}
for fut in as_completed(futures):
try:
batch_results.append(fut.result())
except Exception as e:
logger.error(f"Concurrent request failed: {e}")
batch_errors += 1
inference_windows.append((inf_t0, time.monotonic()))
for idx, (row, actual_pp_tokens) in enumerate(
batch_results
):
row.update(
{
"model_short_id": short_id,
"model_id": full_model_id,
"placement_sharding": sharding,
"placement_instance_meta": instance_meta,
"placement_nodes": n_nodes,
"instance_id": instance_id,
"pp_tokens": actual_pp_tokens,
"tg": tg,
"repeat_index": r,
"concurrency": concurrency,
"concurrent_index": idx,
**(
{"download_duration_s": download_duration_s}
if download_duration_s is not None
else {}
),
}
)
runs.append(row)
all_rows.append(row)
if batch_results:
valid_gen_tps = [
x["stats"]["generation_tps"]
for x, _ in batch_results
if x["stats"]["generation_tps"] > 0
]
per_req_tps = (
mean(valid_gen_tps) if valid_gen_tps else 0.0
)
agg_gen_tps = per_req_tps * concurrency
logger.info(
f"[concurrent {concurrency}x] "
f"agg_gen_tps={agg_gen_tps:.2f} "
f"per_req_tps={per_req_tps:.2f} "
f"errors={batch_errors}"
)
if runs:
prompt_tps = mean(x["stats"]["prompt_tps"] for x in runs)
per_req_tps = mean(x["stats"]["generation_tps"] for x in runs)
gen_tps = per_req_tps * concurrency
ptok = mean(x["stats"]["prompt_tokens"] for x in runs)
gtok = mean(x["stats"]["generation_tokens"] for x in runs)
peak = mean(
x["stats"]["peak_memory_usage"]["inBytes"] for x in runs
)
except Exception as e:
logger.error(e)
continue
row.update(
{
"model_short_id": short_id,
"model_id": full_model_id,
"placement_sharding": sharding,
"placement_instance_meta": instance_meta,
"placement_nodes": n_nodes,
"instance_id": instance_id,
"pp_tokens": actual_pp_tokens,
"tg": tg,
"repeat_index": r,
}
)
runs.append(row)
all_rows.append(row)
if runs:
prompt_tps = mean(x["stats"]["prompt_tps"] for x in runs)
gen_tps = mean(x["stats"]["generation_tps"] for x in runs)
ptok = mean(x["stats"]["prompt_tokens"] for x in runs)
gtok = mean(x["stats"]["generation_tokens"] for x in runs)
peak = mean(
x["stats"]["peak_memory_usage"]["inBytes"] for x in runs
)
logger.info(
f"prompt_tps={prompt_tps:.2f} gen_tps={gen_tps:.2f} "
f"prompt_tokens={ptok} gen_tokens={gtok} "
f"peak_memory={format_peak_memory(peak)}\n"
)
time.sleep(2)
summary = (
f"prompt_tps={prompt_tps:.2f} gen_tps={gen_tps:.2f} "
f"prompt_tokens={ptok} gen_tokens={gtok} "
f"peak_memory={format_peak_memory(peak)}"
)
if sampler and inference_windows:
joules = sum(
sampler.energy_between(t0, t1)
for t0, t1 in inference_windows
)
inf_seconds = sum(t1 - t0 for t0, t1 in inference_windows)
avg_watts = joules / inf_seconds if inf_seconds > 0 else 0
summary += f" energy={joules:.1f}J ({avg_watts:.1f}W avg over {inf_seconds:.1f}s inference)"
logger.info(f"{summary}\n")
time.sleep(2)
finally:
if sampler:
sampler.stop()
placement_label = f"{sharding}/{instance_meta}/{n_nodes} nodes"
sampler.print_summary(placement_label)
placement_metrics = sampler.summarize()
if placement_metrics:
all_system_metrics.update(placement_metrics)
try:
client.request_json("DELETE", f"/instance/{instance_id}")
except ExoHttpError as e:
@@ -652,9 +672,17 @@ def main() -> int:
time.sleep(5)
if args.json_out:
output: dict[str, Any] = {"runs": all_rows}
if cluster_snapshot:
output["cluster"] = cluster_snapshot
if all_system_metrics:
output["system_metrics"] = all_system_metrics
if args.stdout:
json.dump(output, sys.stdout, indent=2, ensure_ascii=False)
elif args.json_out:
with open(args.json_out, "w", encoding="utf-8") as f:
json.dump(all_rows, f, indent=2, ensure_ascii=False)
json.dump(output, f, indent=2, ensure_ascii=False)
logger.debug(f"\nWrote results JSON: {args.json_out}")
return 0
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@@ -0,0 +1,574 @@
# type: ignore
from __future__ import annotations
import argparse
import http.client
import json
import os
import time
from typing import Any
from urllib.parse import urlencode
from loguru import logger
_SETTLE_INITIAL_BACKOFF_S = 1.0
_SETTLE_MAX_BACKOFF_S = 60.0
_SETTLE_BACKOFF_MULTIPLIER = 2.0
class ExoHttpError(RuntimeError):
def __init__(self, status: int, reason: str, body_preview: str):
super().__init__(f"HTTP {status} {reason}: {body_preview}")
self.status = status
class ExoClient:
def __init__(self, host: str, port: int, timeout_s: float = 7200.0):
self.host = host
self.port = port
self.timeout_s = timeout_s
def request_json(
self,
method: str,
path: str,
params: dict[str, Any] | None = None,
body: dict[str, Any] | None = None,
headers: dict[str, str] | None = None,
) -> Any:
if not path.startswith("/"):
path = "/" + path
if params:
path = path + "?" + urlencode(params)
conn = http.client.HTTPConnection(self.host, self.port, timeout=self.timeout_s)
try:
payload: bytes | None = None
hdrs: dict[str, str] = {"Accept": "application/json"}
if body is not None:
payload = json.dumps(body).encode("utf-8")
hdrs["Content-Type"] = "application/json"
if headers:
hdrs.update(headers)
conn.request(method.upper(), path, body=payload, headers=hdrs)
resp = conn.getresponse()
raw = resp.read()
text = raw.decode("utf-8", errors="replace") if raw else ""
if resp.status >= 400:
raise ExoHttpError(resp.status, resp.reason, text[:300])
if not text:
return None
return json.loads(text)
finally:
conn.close()
def post_bench_chat_completions(self, payload: dict[str, Any]) -> dict[str, Any]:
return self.request_json("POST", "/bench/chat/completions", body=payload)
def get_state_path(self, path: str) -> Any:
try:
return self.request_json("GET", f"/state/{path}")
except ExoHttpError as e:
if e.status == 404:
return None
raise
def get_instance(self, instance_id: str) -> dict[str, Any] | None:
return self.get_state_path(f"instances/{instance_id}")
def get_runner(self, runner_id: str) -> dict[str, Any] | None:
return self.get_state_path(f"runners/{runner_id}")
def get_node_downloads(self, node_id: str) -> list[dict[str, Any]] | None:
return self.get_state_path(f"downloads/{node_id}")
def get_node_disk(self, node_id: str) -> dict[str, Any] | None:
return self.get_state_path(f"nodeDisk/{node_id}")
def get_node_system(self, node_id: str) -> dict[str, Any] | None:
return self.get_state_path(f"nodeSystem/{node_id}")
def get_node_identities(self) -> dict[str, Any] | None:
return self.get_state_path("nodeIdentities")
def get_topology(self) -> dict[str, Any] | None:
return self.get_state_path("topology")
def unwrap_instance(instance: dict[str, Any]) -> dict[str, Any]:
if len(instance) != 1:
raise KeyError(f"Expected 1 key, got keys={list(instance.keys())}")
tag = next(iter(instance))
inner = instance[tag]
if not isinstance(inner, dict):
raise TypeError(f"payload for {tag} must be dict, got {type(inner)}")
return inner
def instance_id_from_instance(instance: dict[str, Any]) -> str:
inner = unwrap_instance(instance)
return str(inner["instanceId"])
def nodes_used_in_instance(instance: dict[str, Any]) -> int:
inner = unwrap_instance(instance)
return len(inner["shardAssignments"]["nodeToRunner"])
def runner_ids_from_instance(instance: dict[str, Any]) -> list[str]:
inner = unwrap_instance(instance)
runner_to_shard = inner["shardAssignments"]["runnerToShard"]
return list(runner_to_shard.keys())
def node_ids_from_instance(instance: dict[str, Any]) -> list[str]:
inner = unwrap_instance(instance)
return list(inner["shardAssignments"]["nodeToRunner"].keys())
def runner_ready(runner: dict[str, Any]) -> bool:
return "RunnerReady" in runner
def runner_failed(runner: dict[str, Any]) -> bool:
return "RunnerFailed" in runner
def get_runner_failed_message(runner: dict[str, Any]) -> str | None:
if "RunnerFailed" in runner:
return runner["RunnerFailed"].get("errorMessage")
return None
def wait_for_instance_ready(
client: ExoClient, instance_id: str, timeout: float = 24000.0
) -> None:
start_time = time.time()
instance_existed = False
last_loaded: dict[str, int] = {}
while time.time() - start_time < timeout:
instance = client.get_instance(instance_id)
if instance is None:
if instance_existed:
raise RuntimeError(
f"Instance {instance_id} was deleted (runner may have failed)"
)
time.sleep(0.1)
continue
instance_existed = True
rids = runner_ids_from_instance(instance)
all_ready = True
for rid in rids:
runner = client.get_runner(rid) or {}
if runner_failed(runner):
error_msg = get_runner_failed_message(runner) or "Unknown error"
raise RuntimeError(f"Runner {rid} failed: {error_msg}")
if "RunnerLoading" in runner:
loading = runner["RunnerLoading"]
loaded = loading.get("layersLoaded", 0)
total = loading.get("totalLayers", 0)
if total > 0 and last_loaded.get(rid) != loaded:
last_loaded[rid] = loaded
logger.debug(f"Runner {rid}: loading layers {loaded}/{total}")
if not runner_ready(runner):
all_ready = False
if all_ready:
return
time.sleep(0.1)
raise TimeoutError(f"Instance {instance_id} did not become ready within {timeout=}")
def wait_for_instance_gone(
client: ExoClient, instance_id: str, timeout: float = 3.0
) -> None:
start_time = time.time()
while time.time() - start_time < timeout:
try:
client.request_json("GET", f"/instance/{instance_id}")
time.sleep(0.4)
except ExoHttpError as e:
if e.status == 404:
return
raise
raise TimeoutError(f"Instance {instance_id} did not get deleted within {timeout=}")
def capture_cluster_snapshot(client: ExoClient) -> dict[str, Any]:
snapshot: dict[str, Any] = {}
identities = client.get_node_identities()
if identities:
snapshot["nodeIdentities"] = identities
topology = client.get_topology()
if topology:
snapshot["topology"] = topology
node_memory = client.get_state_path("nodeMemory")
if node_memory:
snapshot["nodeMemory"] = node_memory
node_system = client.get_state_path("nodeSystem")
if node_system:
snapshot["nodeSystem"] = node_system
return snapshot
def resolve_model_short_id(
client: ExoClient, model_arg: str, *, force_download: bool = False
) -> tuple[str, str]:
models = client.request_json("GET", "/models") or {}
data = models.get("data") or []
for m in data:
if (m.get("name") or "").lower() == model_arg.lower():
short_id = str(m["name"])
full_id = str(m.get("hugging_face_id") or m["name"])
return short_id, full_id
for m in data:
if m.get("hugging_face_id") == model_arg:
short_id = str(m["name"])
full_id = str(m["hugging_face_id"])
return short_id, full_id
if force_download and "/" in model_arg:
logger.info(f"Model not in /models, adding from HuggingFace: {model_arg}")
result = client.request_json(
"POST", "/models/add", body={"model_id": model_arg}
)
if result:
short_id = str(result.get("name") or model_arg.rsplit("/", 1)[-1])
full_id = str(result.get("hugging_face_id") or model_arg)
return short_id, full_id
raise ValueError(f"Model not found in /models: {model_arg}")
def placement_filter(instance_meta: str, wanted: str) -> bool:
s = (instance_meta or "").lower()
if wanted == "both":
return ("ring" in s) or ("jaccl" in s)
return wanted in s
def sharding_filter(sharding: str, wanted: str) -> bool:
s = (sharding or "").lower()
if wanted == "both":
return ("pipeline" in s) or ("tensor" in s)
return wanted in s
def fetch_and_filter_placements(
client: ExoClient, full_model_id: str, args: argparse.Namespace
) -> list[dict[str, Any]]:
previews_resp = client.request_json(
"GET", "/instance/previews", params={"model_id": full_model_id}
)
previews = previews_resp.get("previews") or []
selected: list[dict[str, Any]] = []
for p in previews:
if p.get("error") is not None:
continue
if not placement_filter(str(p.get("instance_meta", "")), args.instance_meta):
continue
if not sharding_filter(str(p.get("sharding", "")), args.sharding):
continue
instance = p.get("instance")
if not isinstance(instance, dict):
continue
n = nodes_used_in_instance(instance)
# Skip tensor ring single node as it is pointless when pipeline ring
if n == 1 and (
(args.sharding == "both" and "tensor" in p.get("sharding", "").lower())
or (
args.instance_meta == "both"
and "jaccl" in p.get("instance_meta", "").lower()
)
):
continue
if (
args.skip_pipeline_jaccl
and (
args.instance_meta == "both"
and "jaccl" in p.get("instance_meta", "").lower()
)
and (
args.sharding == "both" and "pipeline" in p.get("sharding", "").lower()
)
):
continue
if (
args.skip_tensor_ring
and (
args.instance_meta == "both"
and "ring" in p.get("instance_meta", "").lower()
)
and (args.sharding == "both" and "tensor" in p.get("sharding", "").lower())
):
continue
if args.min_nodes <= n <= args.max_nodes:
selected.append(p)
return selected
def settle_and_fetch_placements(
client: ExoClient,
full_model_id: str,
args: argparse.Namespace,
settle_timeout: float = 0,
) -> list[dict[str, Any]]:
selected = fetch_and_filter_placements(client, full_model_id, args)
if not selected and settle_timeout > 0:
backoff = _SETTLE_INITIAL_BACKOFF_S
deadline = time.monotonic() + settle_timeout
while not selected and time.monotonic() < deadline:
remaining = deadline - time.monotonic()
logger.warning(
f"No valid placements yet (cluster may still be settling). "
f"Retrying in {backoff:.1f}s ({remaining:.0f}s remaining)..."
)
time.sleep(min(backoff, remaining))
backoff = min(backoff * _SETTLE_BACKOFF_MULTIPLIER, _SETTLE_MAX_BACKOFF_S)
selected = fetch_and_filter_placements(client, full_model_id, args)
return selected
def run_planning_phase(
client: ExoClient,
full_model_id: str,
preview: dict[str, Any],
danger_delete: bool,
timeout: float,
settle_deadline: float | None,
) -> float | None:
"""Check disk space and ensure model is downloaded before benchmarking.
Returns the wall-clock download duration in seconds if a fresh download
was needed, or None if the model was already cached on all nodes.
"""
# Get model size from /models
models = client.request_json("GET", "/models") or {}
model_bytes = 0
for m in models.get("data", []):
if m.get("hugging_face_id") == full_model_id:
model_bytes = m.get("storage_size_megabytes", 0) * 1024 * 1024
break
if not model_bytes:
logger.warning(
f"Could not determine size for {full_model_id}, skipping disk check"
)
return None
# Get nodes from preview
inner = unwrap_instance(preview["instance"])
node_ids = list(inner["shardAssignments"]["nodeToRunner"].keys())
runner_to_shard = inner["shardAssignments"]["runnerToShard"]
needs_download = False
for node_id in node_ids:
node_downloads = client.get_node_downloads(node_id) or []
already_downloaded = any(
"DownloadCompleted" in p
and unwrap_instance(p["DownloadCompleted"]["shardMetadata"])["modelCard"][
"modelId"
]
== full_model_id
for p in node_downloads
)
if already_downloaded:
continue
needs_download = True
disk_info = client.get_node_disk(node_id) or {}
backoff = _SETTLE_INITIAL_BACKOFF_S
while not disk_info and settle_deadline and time.monotonic() < settle_deadline:
remaining = settle_deadline - time.monotonic()
logger.info(
f"Waiting for disk info on {node_id} ({remaining:.0f}s remaining)..."
)
time.sleep(min(backoff, remaining))
backoff = min(backoff * _SETTLE_BACKOFF_MULTIPLIER, _SETTLE_MAX_BACKOFF_S)
disk_info = client.get_node_disk(node_id) or {}
if not disk_info:
logger.warning(f"No disk info for {node_id}, skipping space check")
continue
avail = disk_info.get("available", {}).get("inBytes", 0)
if avail >= model_bytes:
continue
if not danger_delete:
raise RuntimeError(
f"Insufficient disk on {node_id}: need {model_bytes // (1024**3)}GB, "
f"have {avail // (1024**3)}GB. Use --danger-delete-downloads to free space."
)
completed = [
(
unwrap_instance(p["DownloadCompleted"]["shardMetadata"])["modelCard"][
"modelId"
],
p["DownloadCompleted"]["total"]["inBytes"],
)
for p in node_downloads
if "DownloadCompleted" in p
and not p["DownloadCompleted"].get("readOnly", False)
]
for del_model, size in sorted(completed, key=lambda x: x[1]):
logger.info(f"Deleting {del_model} from {node_id} ({size // (1024**2)}MB)")
client.request_json("DELETE", f"/download/{node_id}/{del_model}")
avail += size
if avail >= model_bytes:
break
if avail < model_bytes:
raise RuntimeError(f"Could not free enough space on {node_id}")
# Start downloads (idempotent)
download_t0 = time.perf_counter() if needs_download else None
for node_id in node_ids:
runner_id = inner["shardAssignments"]["nodeToRunner"][node_id]
shard = runner_to_shard[runner_id]
client.request_json(
"POST",
"/download/start",
body={
"targetNodeId": node_id,
"shardMetadata": shard,
},
)
logger.info(f"Started download on {node_id}")
# Wait for downloads
start = time.time()
while time.time() - start < timeout:
all_done = True
for node_id in node_ids:
node_downloads = client.get_node_downloads(node_id) or []
done = any(
"DownloadCompleted" in p
and unwrap_instance(p["DownloadCompleted"]["shardMetadata"])[
"modelCard"
]["modelId"]
== full_model_id
for p in node_downloads
)
failed = [
p["DownloadFailed"]["errorMessage"]
for p in node_downloads
if "DownloadFailed" in p
and unwrap_instance(p["DownloadFailed"]["shardMetadata"])["modelCard"][
"modelId"
]
== full_model_id
]
if failed:
raise RuntimeError(f"Download failed on {node_id}: {failed[0]}")
if not done:
all_done = False
ongoing = [
p
for p in node_downloads
if "DownloadOngoing" in p
and unwrap_instance(p["DownloadOngoing"]["shardMetadata"])[
"modelCard"
]["modelId"]
== full_model_id
]
if ongoing:
prog = ongoing[0]["DownloadOngoing"]["downloadProgress"]
speed_mb = prog.get("speed", 0) / (1024 * 1024)
eta_s = prog.get("etaMs", 0) / 1000
dl_bytes = prog.get("downloaded", {}).get("inBytes", 0)
total_bytes = prog.get("total", {}).get("inBytes", 0)
pct = (dl_bytes / total_bytes * 100) if total_bytes else 0
logger.info(
f"Downloading on {node_id}: {pct:.1f}% @ {speed_mb:.1f} MB/s, "
f"ETA {eta_s:.0f}s "
f"({prog.get('completedFiles', 0)}/{prog.get('totalFiles', 0)} files)"
)
if all_done:
if download_t0 is not None:
return time.perf_counter() - download_t0
return None
time.sleep(1)
raise TimeoutError("Downloads did not complete in time")
def add_common_instance_args(ap: argparse.ArgumentParser) -> None:
ap.add_argument("--host", default=os.environ.get("EXO_HOST", "localhost"))
ap.add_argument(
"--port", type=int, default=int(os.environ.get("EXO_PORT", "52415"))
)
ap.add_argument("--model", required=True, help="Model short id or huggingface id")
ap.add_argument(
"--force-download",
action="store_true",
help="If model not in /models, add it from HuggingFace via exo and download.",
)
ap.add_argument(
"--max-nodes",
type=int,
default=4,
help="Only consider placements using <= this many nodes.",
)
ap.add_argument(
"--min-nodes",
type=int,
default=1,
help="Only consider placements using >= this many nodes.",
)
ap.add_argument(
"--instance-meta", choices=["ring", "jaccl", "both"], default="both"
)
ap.add_argument(
"--sharding", choices=["pipeline", "tensor", "both"], default="both"
)
ap.add_argument(
"--skip-pipeline-jaccl",
action="store_true",
help="Skip pipeline+jaccl placements, as it's often pointless.",
)
ap.add_argument(
"--skip-tensor-ring",
action="store_true",
help="Skip tensor+ring placements, as it's so slow.",
)
ap.add_argument(
"--timeout", type=float, default=7200.0, help="HTTP timeout (seconds)."
)
ap.add_argument(
"--settle-timeout",
type=float,
default=0,
help="Max seconds to wait for the cluster to produce valid placements (0 = try once).",
)
ap.add_argument(
"--danger-delete-downloads",
action="store_true",
help="Delete existing models from smallest to largest to make room for benchmark model.",
)
+255
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@@ -0,0 +1,255 @@
# type: ignore
import argparse
import asyncio
import sys
import termios
import time
import tty
import aiohttp
NUM_REQUESTS = 10
BASE_URL = ""
QUESTIONS = [
"What is the capital of Australia?",
"How many bones are in the human body?",
"What year did World War II end?",
"What is the speed of light in meters per second?",
"Who wrote Romeo and Juliet?",
"What is the chemical formula for water?",
"How many planets are in our solar system?",
"What is the largest ocean on Earth?",
"Who painted the Mona Lisa?",
"What is the boiling point of water in Celsius?",
]
def write(s: str) -> None:
sys.stdout.write(s)
# ---------------------------------------------------------------------------
# Model picker (same style as exo_eval)
# ---------------------------------------------------------------------------
def fetch_models() -> list[str]:
import json
import urllib.request
with urllib.request.urlopen(f"{BASE_URL}/state") as resp:
data = json.loads(resp.read())
model_ids: set[str] = set()
for instance in data.get("instances", {}).values():
for variant in instance.values():
sa = variant.get("shardAssignments", {})
model_id = sa.get("modelId")
if model_id:
model_ids.add(model_id)
return sorted(model_ids)
def pick_model() -> str | None:
models = fetch_models()
if not models:
print("No models found.")
return None
cursor = 0
total_lines = len(models) + 4
def render(first: bool = False) -> None:
if not first:
write(f"\033[{total_lines}A")
write("\033[J")
write("\033[1mSelect model\033[0m (up/down, enter confirm, q quit)\r\n\r\n")
for i, model in enumerate(models):
line = f" {'>' if i == cursor else ' '} {model}"
write(f"\033[7m{line}\033[0m\r\n" if i == cursor else f"{line}\r\n")
write("\r\n")
sys.stdout.flush()
fd = sys.stdin.fileno()
old = termios.tcgetattr(fd)
try:
tty.setraw(fd)
write("\033[?25l")
render(first=True)
while True:
ch = sys.stdin.read(1)
if ch in ("q", "\x03"):
write("\033[?25h\033[0m\r\n")
return None
elif ch in ("\r", "\n"):
break
elif ch == "\x1b":
seq = sys.stdin.read(2)
if seq == "[A":
cursor = (cursor - 1) % len(models)
elif seq == "[B":
cursor = (cursor + 1) % len(models)
render()
finally:
termios.tcsetattr(fd, termios.TCSADRAIN, old)
write(f"\033[{total_lines}A\033[J") # clear picker UI
write("\033[?25h\033[0m")
sys.stdout.flush()
return models[cursor]
# ---------------------------------------------------------------------------
# Parallel requests
# ---------------------------------------------------------------------------
statuses: list[str] = []
times: list[str] = []
previews: list[str] = []
tokens: list[str] = []
full_responses: list[dict | None] = []
total_lines = 0
start_time: float = 0
selected_model: str = ""
def render_progress(first: bool = False) -> None:
if not first:
write(f"\033[{total_lines}A")
write("\033[J")
elapsed = time.monotonic() - start_time if start_time else 0
done = sum(1 for s in statuses if s == "done")
write(
f"\033[1m{selected_model}\033[0m [{done}/{NUM_REQUESTS}] {elapsed:.1f}s\r\n\r\n"
)
for i in range(NUM_REQUESTS):
q = QUESTIONS[i % len(QUESTIONS)]
status = statuses[i]
if status == "pending":
color = "\033[33m" # yellow
elif status == "running":
color = "\033[36m" # cyan
elif status == "done":
color = "\033[32m" # green
else:
color = "\033[31m" # red
write(
f" {i:>2} {color}{status:<8}\033[0m {times[i]:>6} {tokens[i]:>5}tok {q[:40]:<40} {previews[i][:50]}\r\n"
)
write("\r\n")
sys.stdout.flush()
async def send_request(
session: aiohttp.ClientSession, i: int, lock: asyncio.Lock
) -> None:
payload = {
"model": selected_model,
"messages": [{"role": "user", "content": QUESTIONS[i % len(QUESTIONS)]}],
"max_tokens": 1024,
}
statuses[i] = "running"
async with lock:
render_progress()
t0 = time.monotonic()
try:
async with session.post(
f"{BASE_URL}/v1/chat/completions", json=payload
) as resp:
data = await resp.json()
elapsed = time.monotonic() - t0
full_responses[i] = data
times[i] = f"{elapsed:.1f}s"
if resp.status == 200:
choice = data["choices"][0]
msg = choice["message"]
content = msg.get("content", "")
previews[i] = content[:50].replace("\n", " ") or "(empty)"
if "usage" in data:
tokens[i] = str(data["usage"].get("total_tokens", ""))
statuses[i] = "done"
else:
statuses[i] = f"err:{resp.status}"
previews[i] = str(data.get("error", {}).get("message", ""))[:50]
except Exception as e:
elapsed = time.monotonic() - t0
times[i] = f"{elapsed:.1f}s"
statuses[i] = "error"
previews[i] = str(e)[:50]
async with lock:
render_progress()
async def run_requests(print_stdout: bool = False) -> None:
global start_time, total_lines, statuses, times, previews, tokens, full_responses
statuses = ["pending"] * NUM_REQUESTS
times = ["-"] * NUM_REQUESTS
previews = ["-"] * NUM_REQUESTS
tokens = ["-"] * NUM_REQUESTS
full_responses = [None] * NUM_REQUESTS
total_lines = NUM_REQUESTS + 4
write("\033[?25l") # hide cursor
start_time = time.monotonic()
render_progress(first=True)
lock = asyncio.Lock()
try:
async with aiohttp.ClientSession() as session:
tasks = [send_request(session, i, lock) for i in range(NUM_REQUESTS)]
await asyncio.gather(*tasks)
total = time.monotonic() - start_time
write(
f"\033[1m=== All {NUM_REQUESTS} requests done in {total:.1f}s ===\033[0m\r\n\r\n"
)
if print_stdout:
for i in range(NUM_REQUESTS):
data = full_responses[i]
if not data or "choices" not in data:
continue
choice = data["choices"][0]
msg = choice["message"]
q = QUESTIONS[i % len(QUESTIONS)]
write(f"\033[1m--- #{i}: {q} ---\033[0m\r\n")
if msg.get("reasoning_content"):
write(f"\033[2m[Thinking]: {msg['reasoning_content']}\033[0m\r\n")
write(f"{msg.get('content', '')}\r\n")
if "usage" in data:
u = data["usage"]
write(
f"\033[2m[Usage: prompt={u.get('prompt_tokens')}, "
f"completion={u.get('completion_tokens')}, "
f"total={u.get('total_tokens')}]\033[0m\r\n"
)
write("\r\n")
finally:
write("\033[?25h") # show cursor
sys.stdout.flush()
def main() -> None:
global selected_model, BASE_URL
parser = argparse.ArgumentParser(
description="Send parallel requests to an exo cluster"
)
parser.add_argument(
"--host", required=True, help="Hostname of the exo node (e.g. s1)"
)
parser.add_argument("--port", type=int, default=52415, help="Port (default: 52415)")
parser.add_argument(
"--stdout", action="store_true", help="Print full responses after completion"
)
args = parser.parse_args()
BASE_URL = f"http://{args.host}:{args.port}"
model = pick_model()
if not model:
return
selected_model = model
asyncio.run(run_requests(print_stdout=args.stdout))
if __name__ == "__main__":
main()
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[project]
name = "exo-bench"
version = "0.1.0"
description = "Benchmarking tool for exo distributed inference"
requires-python = ">=3.13"
dependencies = [
"httpx>=0.27.0",
"loguru>=0.7.3",
"transformers>=5.0.0",
"huggingface-hub>=0.33.4",
"tiktoken>=0.12.0",
"jinja2>=3.1.0",
"protobuf>=5.29.0",
"datasets>=2.0.0",
"math-verify>=0.7.0",
"lm-eval[api,math]>=0.4.0",
"human-eval>=1.0.3",
"numpy>=1.24.0",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
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# Tool definitions — each becomes an OpenAI function tool.
# All scenarios get all tools unless they specify a `tools` list.
[tools.get_current_weather]
description = "Get the current weather in a given location"
required = ["location"]
[tools.get_current_weather.properties.location]
type = "string"
description = "City and state, e.g. San Francisco, CA"
[tools.get_current_weather.properties.unit]
type = "string"
enum = ["celsius", "fahrenheit"]
description = "Temperature unit"
[tools.calculate]
description = "Evaluate a mathematical expression and return the numeric result"
required = ["expression"]
[tools.calculate.properties.expression]
type = "string"
description = "The math expression to evaluate, e.g. '2 + 3 * 4'"
[tools.search_products]
description = "Search for products in a catalog by query, category, and price"
required = ["query"]
[tools.search_products.properties.query]
type = "string"
description = "Search query string"
[tools.search_products.properties.category]
type = "string"
enum = ["electronics", "clothing", "food", "books"]
description = "Product category to filter by"
[tools.search_products.properties.max_price]
type = "number"
description = "Maximum price in USD"
[tools.create_todos]
description = "Create a structured todo list"
required = ["todos"]
[tools.create_todos.properties.todos]
type = "array"
description = "List of todo items"
[tools.create_todos.properties.todos.items]
type = "object"
required = ["content", "status", "priority"]
[tools.create_todos.properties.todos.items.properties.content]
type = "string"
description = "The todo item text"
[tools.create_todos.properties.todos.items.properties.status]
type = "string"
description = "Status: pending, in_progress, or completed"
[tools.create_todos.properties.todos.items.properties.priority]
type = "string"
description = "Priority: low, normal, or high"
# -- Should call a tool --
[[scenarios]]
name = "weather_simple"
description = "Basic weather query -> get_current_weather"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[[scenarios.messages]]
role = "user"
content = "What's the weather like in Tokyo right now?"
[[scenarios]]
name = "calculator_simple"
description = "Math question -> calculate"
expect_tool_call = true
expected_function = "calculate"
required_arg_keys = ["expression"]
[[scenarios.messages]]
role = "user"
content = "Use the calculator to compute 3847 * 926 + 17293"
[[scenarios]]
name = "search_with_filters"
description = "Product search with category and price filter"
expect_tool_call = true
expected_function = "search_products"
required_arg_keys = ["query"]
[[scenarios.messages]]
role = "user"
content = "Find me electronics under $50"
# -- Multi-turn: tool call then follow-up --
[[scenarios]]
name = "weather_multi_turn"
description = "Weather query -> tool result -> natural language summary"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[scenarios.tool_result]
temperature = "18C"
condition = "partly cloudy"
humidity = "65%"
wind = "12 km/h NW"
[[scenarios.messages]]
role = "user"
content = "What's the weather in Paris?"
[[scenarios]]
name = "calculator_multi_turn"
description = "Math query -> tool result -> model reports the answer"
expect_tool_call = true
expected_function = "calculate"
required_arg_keys = ["expression"]
[scenarios.tool_result]
result = 491682
[[scenarios.messages]]
role = "user"
content = "Use the calculator to compute 1847 * 263 + 5921"
[[scenarios]]
name = "search_multi_turn"
description = "Search query -> tool result -> model summarizes products"
expect_tool_call = true
expected_function = "search_products"
required_arg_keys = ["query"]
[[scenarios.tool_result.results]]
name = "Hands-On Machine Learning"
price = 45.99
rating = 4.8
[[scenarios.tool_result.results]]
name = "Deep Learning with Python"
price = 39.99
rating = 4.6
[[scenarios.messages]]
role = "user"
content = "Search for books about machine learning"
# -- Sequential tool calls --
[[scenarios]]
name = "chained_tool_calls_same"
description = "Thinking + weather(Tokyo) -> result -> model must call weather(London)"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[[scenarios.messages]]
role = "user"
content = "Compare the weather in Tokyo and London."
[[scenarios.messages]]
role = "assistant"
content = "I'll check both cities. Let me start with Tokyo."
[[scenarios.messages.tool_calls]]
id = "call_1"
name = "get_current_weather"
arguments = { location = "Tokyo" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_1"
content = '{"temperature": "25C", "condition": "sunny"}'
[[scenarios]]
name = "chained_tool_calls_different"
description = "Thinking + weather(Berlin) -> result -> model must call calculator"
expect_tool_call = true
expected_function = "calculate"
required_arg_keys = ["expression"]
[[scenarios.messages]]
role = "user"
content = "What's the weather in Berlin, and also use the calculator to compute 4819 * 37 + 291."
[[scenarios.messages]]
role = "assistant"
content = "I'll handle both. Let me check Berlin's weather first."
[[scenarios.messages.tool_calls]]
id = "call_2"
name = "get_current_weather"
arguments = { location = "Berlin" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_2"
content = '{"temperature": "12C", "condition": "rainy"}'
[[scenarios]]
name = "chained_tool_calls_three"
description = "Two prior thinking+tool calls -> results -> model must make a third"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[[scenarios.messages]]
role = "user"
content = "Compare weather in Tokyo, Paris, and London."
[[scenarios.messages]]
role = "assistant"
content = "I'll check all three cities. Starting with Tokyo."
[[scenarios.messages.tool_calls]]
id = "call_3"
name = "get_current_weather"
arguments = { location = "Tokyo" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_3"
content = '{"temperature": "25C", "condition": "sunny"}'
[[scenarios.messages]]
role = "assistant"
content = "Got Tokyo. Now checking Paris."
[[scenarios.messages.tool_calls]]
id = "call_4"
name = "get_current_weather"
arguments = { location = "Paris" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_4"
content = '{"temperature": "18C", "condition": "cloudy"}'
# -- Nested object schema (regression for lossy chat template rendering) --
[[scenarios]]
name = "nested_schema_tool_call"
description = "Tool call with nested object array schema -> create_todos"
expect_tool_call = true
expected_function = "create_todos"
required_arg_keys = ["todos"]
nested_array_key = "todos"
required_item_keys = ["content", "status", "priority"]
tools = ["create_todos"]
[[scenarios.messages]]
role = "user"
content = "Create a todo list with 3 items to learn Python"
# -- Tool name integrity (regression for harmony token leaking into name) --
[tools.glob]
description = "Search for files matching a glob pattern in the codebase"
required = ["pattern"]
[tools.glob.properties.pattern]
type = "string"
description = "The glob pattern to match files against, e.g. '**/*.py'"
[tools.glob.properties.path]
type = "string"
description = "The directory to search in"
[[scenarios]]
name = "tool_name_integrity"
description = "Tool name must not contain harmony tokens like <|channel|>"
expect_tool_call = true
expected_function = "glob"
required_arg_keys = ["pattern"]
tools = ["glob"]
[[scenarios.messages]]
role = "user"
content = "Find all Python files in the src directory"
# -- Should NOT call a tool --
[[scenarios]]
name = "no_tool_joke"
description = "Joke request should NOT trigger any tool"
expect_tool_call = false
[[scenarios.messages]]
role = "user"
content = "Tell me a funny joke about cats."
[[scenarios]]
name = "no_tool_factual"
description = "Factual question answerable from training data"
expect_tool_call = false
[[scenarios.messages]]
role = "user"
content = "What is the capital of Japan?"
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# Single-node M3 Ultra benchmarks
#
# Shared constraints applied to ALL benchmarks in this file.
constraints = [
"All(MacOsBuild(=25D125))",
"Hosts(=1)",
"All(Chip(m3_ultra))",
"All(GpuCores(=80))",
]
[topology]
type = "none"
# Default args merged into each benchmark's args (benchmark-level args win).
[defaults]
pp = [512, 2048, 8192, 16384]
tg = 128
[[benchmark]]
model = "mlx-community/Meta-Llama-3.1-70B-Instruct-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/gpt-oss-120b-MXFP4-Q8"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.7-Flash-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Coder-Next-6bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-30B-A3B-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-0.6B-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-0.6B-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Llama-3.2-1B-Instruct-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Llama-3.2-3B-Instruct-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Llama-3.2-3B-Instruct-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Meta-Llama-3.1-8B-Instruct-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Meta-Llama-3.1-8B-Instruct-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Meta-Llama-3.1-8B-Instruct-bf16"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/gpt-oss-20b-MXFP4-Q8"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-30B-A3B-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.7-Flash-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.7-Flash-5bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.7-Flash-6bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Llama-3.3-70B-Instruct-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Coder-Next-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Coder-Next-5bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Coder-Next-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Next-80B-A3B-Instruct-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Next-80B-A3B-Instruct-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Next-80B-A3B-Thinking-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Next-80B-A3B-Thinking-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Llama-3.3-70B-Instruct-8bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/llama-3.3-70b-instruct-fp16"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.5-Air-8bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.5-Air-bf16"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.7-4bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/MiniMax-M2.1-3bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/MiniMax-M2.1-8bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Coder-Next-bf16"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/Step-3.5-Flash-4bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/Step-3.5-Flash-6bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/Step-3.5-Flash-8Bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/DeepSeek-V3.1-4bit"
extra_constraints = ["All(Memory(>=512GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.7-6bit"
extra_constraints = ["All(Memory(>=512GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.7-8bit-gs32"
extra_constraints = ["All(Memory(>=512GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-235B-A22B-Instruct-2507-8bit"
extra_constraints = ["All(Memory(>=512GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Coder-480B-A35B-Instruct-4bit"
extra_constraints = ["All(Memory(>=512GiB))"]
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# type: ignore
# Vendored from LiveCodeBench (https://github.com/LiveCodeBench/LiveCodeBench)
# File: lcb_runner/evaluation/testing_util.py
# License: MIT
# Vendored 2026-03-07 — do not modify without updating from upstream.
import ast
import faulthandler
import json
import platform
# to run the solution files we're using a timing based approach
import signal
import sys
import time
# used for debugging to time steps
from datetime import datetime
from decimal import Decimal
from enum import Enum
from io import StringIO
# from pyext import RuntimeModule
from types import ModuleType
# used for testing the code that reads from input
from unittest.mock import mock_open, patch
import_string = "from string import *\nfrom re import *\nfrom datetime import *\nfrom collections import *\nfrom heapq import *\nfrom bisect import *\nfrom copy import *\nfrom math import *\nfrom random import *\nfrom statistics import *\nfrom itertools import *\nfrom functools import *\nfrom operator import *\nfrom io import *\nfrom sys import *\nfrom json import *\nfrom builtins import *\nfrom typing import *\nimport string\nimport re\nimport datetime\nimport collections\nimport heapq\nimport bisect\nimport copy\nimport math\nimport random\nimport statistics\nimport itertools\nimport functools\nimport operator\nimport io\nimport sys\nimport json\nsys.setrecursionlimit(50000)\n"
def truncatefn(s, length=300):
if isinstance(s, str):
pass
else:
s = str(s)
if len(s) <= length:
return s
return s[: length // 2] + "...(truncated) ..." + s[-length // 2 :]
class CODE_TYPE(Enum):
call_based = 0
standard_input = 1
# stuff for setting up signal timer
class TimeoutException(Exception):
pass
def timeout_handler(signum, frame):
print("timeout occured: alarm went off")
raise TimeoutException
# used to capture stdout as a list
# from https://stackoverflow.com/a/16571630/6416660
# alternative use redirect_stdout() from contextlib
class Capturing(list):
def __enter__(self):
self._stdout = sys.stdout
sys.stdout = self._stringio = StringIO()
# Make closing the StringIO a no-op
self._stringio.close = lambda x: 1
return self
def __exit__(self, *args):
self.append(self._stringio.getvalue())
del self._stringio # free up some memory
sys.stdout = self._stdout
# Custom mock for sys.stdin that supports buffer attribute
class MockStdinWithBuffer:
def __init__(self, inputs: str):
self.inputs = inputs
self._stringio = StringIO(inputs)
self.buffer = MockBuffer(inputs)
def read(self, *args):
return self.inputs
def readline(self, *args):
return self._stringio.readline(*args)
def readlines(self, *args):
return self.inputs.split("\n")
def __getattr__(self, name):
# Delegate other attributes to StringIO
return getattr(self._stringio, name)
class MockBuffer:
def __init__(self, inputs: str):
self.inputs = inputs.encode("utf-8") # Convert to bytes
def read(self, *args):
# Return as byte strings that can be split
return self.inputs
def readline(self, *args):
return self.inputs.split(b"\n")[0] + b"\n"
def clean_if_name(code: str) -> str:
try:
astree = ast.parse(code)
last_block = astree.body[-1]
if isinstance(last_block, ast.If):
condition = last_block.test
if ast.unparse(condition).strip() == "__name__ == '__main__'":
code = (
ast.unparse(astree.body[:-1]) + "\n" + ast.unparse(last_block.body) # type: ignore
)
except:
pass
return code
def make_function(code: str) -> str:
try:
import_stmts = []
all_other_stmts = []
astree = ast.parse(code)
for stmt in astree.body:
if isinstance(stmt, (ast.Import, ast.ImportFrom)):
import_stmts.append(stmt)
else:
all_other_stmts.append(stmt)
function_ast = ast.FunctionDef(
name="wrapped_function",
args=ast.arguments(
posonlyargs=[], args=[], kwonlyargs=[], kw_defaults=[], defaults=[]
),
body=all_other_stmts,
decorator_list=[],
lineno=-1,
)
main_code = (
import_string
+ "\n"
+ ast.unparse(import_stmts)
+ "\n"
+ ast.unparse(function_ast)
)
return main_code
except Exception:
return code
def call_method(method, inputs):
if isinstance(inputs, list):
inputs = "\n".join(inputs)
inputs_line_iterator = iter(inputs.split("\n"))
# Create custom stdin mock with buffer support
mock_stdin = MockStdinWithBuffer(inputs)
# sys.setrecursionlimit(10000)
# @patch('builtins.input', side_effect=inputs.split("\n"))
@patch("builtins.open", mock_open(read_data=inputs))
@patch("sys.stdin", mock_stdin) # Use our custom mock instead of StringIO
@patch("sys.stdin.readline", lambda *args: next(inputs_line_iterator))
@patch("sys.stdin.readlines", lambda *args: inputs.split("\n"))
@patch("sys.stdin.read", lambda *args: inputs)
# @patch('sys.stdout.write', print)
def _inner_call_method(_method):
try:
return _method()
except SystemExit:
pass
finally:
pass
return _inner_call_method(method)
def get_function(compiled_sol, fn_name: str): # type: ignore
try:
assert hasattr(compiled_sol, fn_name)
return getattr(compiled_sol, fn_name)
except Exception:
return
def compile_code(code: str, timeout: int):
signal.alarm(timeout)
try:
tmp_sol = ModuleType("tmp_sol", "")
exec(code, tmp_sol.__dict__)
if "class Solution" in code:
# leetcode wraps solutions in `Solution`
# this is a hack to check if it is leetcode solution or not
# currently livecodebench only supports LeetCode but
# else condition allows future extensibility to other platforms
compiled_sol = tmp_sol.Solution()
else:
# do nothing in the other case since function is accesible
compiled_sol = tmp_sol
assert compiled_sol is not None
finally:
signal.alarm(0)
return compiled_sol
def convert_line_to_decimals(line: str) -> tuple[bool, list[Decimal]]:
try:
decimal_line = [Decimal(elem) for elem in line.split()]
except:
return False, []
return True, decimal_line
def get_stripped_lines(val: str):
## you don't want empty lines to add empty list after splitlines!
val = val.strip()
return [val_line.strip() for val_line in val.split("\n")]
def grade_call_based(
code: str, all_inputs: list, all_outputs: list, fn_name: str, timeout: int
):
# call-based clean up logic
# need to wrap in try-catch logic after to catch the correct errors, but for now this is fine.
code = import_string + "\n\n" + code
compiled_sol = compile_code(code, timeout)
if compiled_sol is None:
return
method = get_function(compiled_sol, fn_name)
if method is None:
return
all_inputs = [
[json.loads(line) for line in inputs.split("\n")] for inputs in all_inputs
]
all_outputs = [json.loads(output) for output in all_outputs]
total_execution = 0
all_results = []
for idx, (gt_inp, gt_out) in enumerate(zip(all_inputs, all_outputs)):
signal.alarm(timeout)
faulthandler.enable()
try:
# can lock here so time is useful
start = time.time()
prediction = method(*gt_inp)
total_execution += time.time() - start
signal.alarm(0)
# don't penalize model if it produces tuples instead of lists
# ground truth sequences are not tuples
if isinstance(prediction, tuple):
prediction = list(prediction)
tmp_result = prediction == gt_out
# handle floating point comparisons
all_results.append(tmp_result)
if not tmp_result:
return all_results, {
"output": truncatefn(prediction),
"inputs": truncatefn(gt_inp),
"expected": truncatefn(gt_out),
"error_code": -2,
"error_message": "Wrong Answer",
}
except Exception as e:
signal.alarm(0)
if "timeoutexception" in repr(e).lower():
all_results.append(-3)
return all_results, {
"error": repr(e),
"error_code": -3,
"error_message": "Time Limit Exceeded",
"inputs": truncatefn(gt_inp),
"expected": truncatefn(gt_out),
}
else:
all_results.append(-4)
return all_results, {
"error": repr(e),
"error_code": -4,
"error_message": "Runtime Error",
"inputs": truncatefn(gt_inp),
"expected": truncatefn(gt_out),
}
finally:
signal.alarm(0)
faulthandler.disable()
return all_results, {"execution time": total_execution}
def grade_stdio(
code: str,
all_inputs: list,
all_outputs: list,
timeout: int,
):
## runtime doesn't interact well with __name__ == '__main__'
code = clean_if_name(code)
## we wrap the given code inside another function
code = make_function(code)
compiled_sol = compile_code(code, timeout)
if compiled_sol is None:
return
method = get_function(compiled_sol, "wrapped_function")
if method is None:
return
all_results = []
total_execution_time = 0
for idx, (gt_inp, gt_out) in enumerate(zip(all_inputs, all_outputs)):
signal.alarm(timeout)
faulthandler.enable()
signal.alarm(timeout)
with Capturing() as captured_output:
try:
start = time.time()
call_method(method, gt_inp)
total_execution_time += time.time() - start
# reset the alarm
signal.alarm(0)
except Exception as e:
signal.alarm(0)
if "timeoutexception" in repr(e).lower():
all_results.append(-3)
return all_results, {
"error": repr(e),
"error_code": -3,
"error_message": "Time Limit Exceeded",
"inputs": truncatefn(gt_inp),
"expected": truncatefn(gt_out),
}
else:
all_results.append(-4)
return all_results, {
"error": repr(e),
"error_code": -4,
"error_message": "Runtime Error",
"inputs": truncatefn(gt_inp),
"expected": truncatefn(gt_out),
}
finally:
signal.alarm(0)
faulthandler.disable()
prediction = captured_output[0]
stripped_prediction_lines = get_stripped_lines(prediction)
stripped_gt_out_lines = get_stripped_lines(gt_out)
## WA happens in multiple circumstances
## so cache the return to make it clean!
WA_send_args = {
"output": truncatefn(prediction),
"inputs": truncatefn(gt_inp),
"expected": truncatefn(gt_out),
"error_code": -2,
}
if len(stripped_prediction_lines) != len(stripped_gt_out_lines):
all_results.append(-2)
WA_send_args["error_message"] = "Wrong answer: mismatched output length"
return all_results, WA_send_args
for output_line_idx, (
stripped_prediction_line,
stripped_gt_out_line,
) in enumerate(zip(stripped_prediction_lines, stripped_gt_out_lines)):
WA_send_args["error_message"] = (
f"Wrong answer at {output_line_idx=}: {truncatefn(stripped_prediction_line)} != {truncatefn(stripped_gt_out_line)}"
)
## CASE 1: exact match
if stripped_prediction_line == stripped_gt_out_line:
continue
## CASE 2: element-wise comparision
## if there are floating elements
## use `decimal` library for good floating point comparision
## otherwise gotcha: np.isclose(50000000000000000, 50000000000000001) = True
## note that we should always be able to convert to decimals
success, decimal_prediction_line = convert_line_to_decimals(
stripped_prediction_line
)
if not success:
all_results.append(-2)
return all_results, WA_send_args
success, decimal_gtout_line = convert_line_to_decimals(stripped_gt_out_line)
if not success:
all_results.append(-2)
return all_results, WA_send_args
if decimal_prediction_line == decimal_gtout_line:
continue
all_results.append(-2)
return all_results, WA_send_args
all_results.append(True)
return all_results, {"execution time": total_execution_time}
def run_test(sample, test=None, debug=False, timeout=6):
"""
if test(generated_code) is not None it'll try to run the code.
otherwise it'll just return an input and output pair.
"""
signal.signal(signal.SIGALRM, timeout_handler)
# Disable functionalities that can make destructive changes to the test.
# max memory is set to 4GB
reliability_guard()
if debug:
print(f"start = {datetime.now().time()}")
try:
in_outs = json.loads(sample["input_output"])
except ValueError as e:
raise e
in_outs = None
if in_outs:
if in_outs.get("fn_name") is None:
which_type = CODE_TYPE.standard_input # Standard input
method_name = None
else:
which_type = CODE_TYPE.call_based # Call-based
method_name = in_outs["fn_name"]
if debug:
print(f"loaded input_output = {datetime.now().time()}")
if test is None:
assert False, "should not happen: test code is none"
return in_outs, {"error": "no test code provided"}
elif test is not None:
results = []
sol = import_string
if debug:
print(f"loading test code = {datetime.now().time()}")
if which_type == CODE_TYPE.call_based:
signal.alarm(timeout)
try:
results, metadata = grade_call_based(
code=test,
all_inputs=in_outs["inputs"],
all_outputs=in_outs["outputs"],
fn_name=method_name,
timeout=timeout,
)
return results, metadata
except Exception as e:
return [-4], {
"error_code": -4,
"error_message": f"Error during testing: {e}",
}
finally:
signal.alarm(0)
elif which_type == CODE_TYPE.standard_input:
# sol
# if code has if __name__ == "__main__": then remove it
signal.alarm(timeout)
try:
results, metadata = grade_stdio(
code=test,
all_inputs=in_outs["inputs"],
all_outputs=in_outs["outputs"],
timeout=timeout,
)
return results, metadata
except Exception as e:
return [-4], {
"error_code": -4,
"error_message": f"Error during testing: {e}",
}
finally:
signal.alarm(0)
def reliability_guard(maximum_memory_bytes=None):
"""
This disables various destructive functions and prevents the generated code
from interfering with the test (e.g. fork bomb, killing other processes,
removing filesystem files, etc.)
WARNING
This function is NOT a security sandbox. Untrusted code, including, model-
generated code, should not be blindly executed outside of one. See the
Codex paper for more information about OpenAI's code sandbox, and proceed
with caution.
"""
if maximum_memory_bytes is not None:
import resource
resource.setrlimit(
resource.RLIMIT_AS, (maximum_memory_bytes, maximum_memory_bytes)
)
resource.setrlimit(
resource.RLIMIT_DATA, (maximum_memory_bytes, maximum_memory_bytes)
)
if not platform.uname().system == "Darwin":
resource.setrlimit(
resource.RLIMIT_STACK, (maximum_memory_bytes, maximum_memory_bytes)
)
faulthandler.disable()
import builtins
# builtins.exit = None
builtins.quit = None
import os
os.environ["OMP_NUM_THREADS"] = "1"
os.kill = None
os.system = None
os.putenv = None
os.remove = None
os.removedirs = None
os.rmdir = None
os.fchdir = None
os.setuid = None
os.fork = None
os.forkpty = None
os.killpg = None
os.rename = None
os.renames = None
os.truncate = None
os.replace = None
os.unlink = None
os.fchmod = None
os.fchown = None
os.chmod = None
os.chown = None
os.chroot = None
os.fchdir = None
os.lchflags = None
os.lchmod = None
os.lchown = None
os.getcwd = None
os.chdir = None
import shutil
shutil.rmtree = None
shutil.move = None
shutil.chown = None
import subprocess
subprocess.Popen = None
__builtins__["help"] = None
import sys
sys.modules["ipdb"] = None
sys.modules["joblib"] = None
sys.modules["resource"] = None
sys.modules["psutil"] = None
sys.modules["tkinter"] = None
+272 -1
View File
@@ -11,7 +11,8 @@
"highlight.js": "^11.11.1",
"katex": "^0.16.27",
"marked": "^17.0.1",
"mode-watcher": "^1.1.0"
"mode-watcher": "^1.1.0",
"pdfjs-dist": "^5.6.205"
},
"devDependencies": {
"@sveltejs/adapter-static": "^3.0.10",
@@ -518,6 +519,256 @@
"@jridgewell/sourcemap-codec": "^1.4.14"
}
},
"node_modules/@napi-rs/canvas": {
"version": "0.1.97",
"resolved": "https://registry.npmjs.org/@napi-rs/canvas/-/canvas-0.1.97.tgz",
"integrity": "sha512-8cFniXvrIEnVwuNSRCW9wirRZbHvrD3JVujdS2P5n5xiJZNZMOZcfOvJ1pb66c7jXMKHHglJEDVJGbm8XWFcXQ==",
"license": "MIT",
"optional": true,
"workspaces": [
"e2e/*"
],
"engines": {
"node": ">= 10"
},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/Brooooooklyn"
},
"optionalDependencies": {
"@napi-rs/canvas-android-arm64": "0.1.97",
"@napi-rs/canvas-darwin-arm64": "0.1.97",
"@napi-rs/canvas-darwin-x64": "0.1.97",
"@napi-rs/canvas-linux-arm-gnueabihf": "0.1.97",
"@napi-rs/canvas-linux-arm64-gnu": "0.1.97",
"@napi-rs/canvas-linux-arm64-musl": "0.1.97",
"@napi-rs/canvas-linux-riscv64-gnu": "0.1.97",
"@napi-rs/canvas-linux-x64-gnu": "0.1.97",
"@napi-rs/canvas-linux-x64-musl": "0.1.97",
"@napi-rs/canvas-win32-arm64-msvc": "0.1.97",
"@napi-rs/canvas-win32-x64-msvc": "0.1.97"
}
},
"node_modules/@napi-rs/canvas-android-arm64": {
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"resolved": "https://registry.npmjs.org/@napi-rs/canvas-android-arm64/-/canvas-android-arm64-0.1.97.tgz",
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"cpu": [
"arm64"
],
"license": "MIT",
"optional": true,
"os": [
"android"
],
"engines": {
"node": ">= 10"
},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/Brooooooklyn"
}
},
"node_modules/@napi-rs/canvas-darwin-arm64": {
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"resolved": "https://registry.npmjs.org/@napi-rs/canvas-darwin-arm64/-/canvas-darwin-arm64-0.1.97.tgz",
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"cpu": [
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],
"license": "MIT",
"optional": true,
"os": [
"darwin"
],
"engines": {
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},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/Brooooooklyn"
}
},
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"cpu": [
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],
"license": "MIT",
"optional": true,
"os": [
"darwin"
],
"engines": {
"node": ">= 10"
},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/Brooooooklyn"
}
},
"node_modules/@napi-rs/canvas-linux-arm-gnueabihf": {
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"resolved": "https://registry.npmjs.org/@napi-rs/canvas-linux-arm-gnueabihf/-/canvas-linux-arm-gnueabihf-0.1.97.tgz",
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"cpu": [
"arm"
],
"license": "MIT",
"optional": true,
"os": [
"linux"
],
"engines": {
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},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/Brooooooklyn"
}
},
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],
"license": "MIT",
"optional": true,
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],
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},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/Brooooooklyn"
}
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],
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"optional": true,
"os": [
"linux"
],
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"node": ">= 10"
},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/Brooooooklyn"
}
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],
"license": "MIT",
"optional": true,
"os": [
"linux"
],
"engines": {
"node": ">= 10"
},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/Brooooooklyn"
}
},
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"cpu": [
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],
"license": "MIT",
"optional": true,
"os": [
"linux"
],
"engines": {
"node": ">= 10"
},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/Brooooooklyn"
}
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],
"license": "MIT",
"optional": true,
"os": [
"linux"
],
"engines": {
"node": ">= 10"
},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/Brooooooklyn"
}
},
"node_modules/@napi-rs/canvas-win32-arm64-msvc": {
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"cpu": [
"arm64"
],
"license": "MIT",
"optional": true,
"os": [
"win32"
],
"engines": {
"node": ">= 10"
},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/Brooooooklyn"
}
},
"node_modules/@napi-rs/canvas-win32-x64-msvc": {
"version": "0.1.97",
"resolved": "https://registry.npmjs.org/@napi-rs/canvas-win32-x64-msvc/-/canvas-win32-x64-msvc-0.1.97.tgz",
"integrity": "sha512-sWtD2EE3fV0IzN+iiQUqr/Q1SwqWhs2O1FKItFlxtdDkikpEj5g7DKQpY3x55H/MAOnL8iomnlk3mcEeGiUMoQ==",
"cpu": [
"x64"
],
"license": "MIT",
"optional": true,
"os": [
"win32"
],
"engines": {
"node": ">= 10"
},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/Brooooooklyn"
}
},
"node_modules/@polka/url": {
"version": "1.0.0-next.29",
"resolved": "https://registry.npmjs.org/@polka/url/-/url-1.0.0-next.29.tgz",
@@ -2635,6 +2886,26 @@
"node": "^10 || ^12 || ^13.7 || ^14 || >=15.0.1"
}
},
"node_modules/node-readable-to-web-readable-stream": {
"version": "0.4.2",
"resolved": "https://registry.npmjs.org/node-readable-to-web-readable-stream/-/node-readable-to-web-readable-stream-0.4.2.tgz",
"integrity": "sha512-/cMZNI34v//jUTrI+UIo4ieHAB5EZRY/+7OmXZgBxaWBMcW2tGdceIw06RFxWxrKZ5Jp3sI2i5TsRo+CBhtVLQ==",
"license": "MIT",
"optional": true
},
"node_modules/pdfjs-dist": {
"version": "5.6.205",
"resolved": "https://registry.npmjs.org/pdfjs-dist/-/pdfjs-dist-5.6.205.tgz",
"integrity": "sha512-tlUj+2IDa7G1SbvBNN74UHRLJybZDWYom+k6p5KIZl7huBvsA4APi6mKL+zCxd3tLjN5hOOEE9Tv7VdzO88pfg==",
"license": "Apache-2.0",
"engines": {
"node": ">=20.19.0 || >=22.13.0 || >=24"
},
"optionalDependencies": {
"@napi-rs/canvas": "^0.1.96",
"node-readable-to-web-readable-stream": "^0.4.2"
}
},
"node_modules/picocolors": {
"version": "1.1.1",
"resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.1.1.tgz",
+2 -1
View File
@@ -31,6 +31,7 @@
"highlight.js": "^11.11.1",
"katex": "^0.16.27",
"marked": "^17.0.1",
"mode-watcher": "^1.1.0"
"mode-watcher": "^1.1.0",
"pdfjs-dist": "^5.6.205"
}
}
+65
View File
@@ -202,6 +202,23 @@
filter: drop-shadow(0 0 3px oklch(0.85 0.18 85 / 0.5));
}
/* Onboarding step 2: connection line between devices */
.onboarding-connection-line {
stroke: oklch(0.85 0.18 85 / 0.5);
stroke-width: 1.5px;
stroke-dasharray: 6, 6;
animation: flowAnimation 1s linear infinite;
filter: drop-shadow(0 0 4px oklch(0.85 0.18 85 / 0.4));
}
/* Onboarding step 4: red connection line for disconnect */
.onboarding-connection-line-red {
stroke: rgba(220, 38, 38, 0.7);
stroke-width: 1.5px;
stroke-dasharray: 6, 6;
filter: drop-shadow(0 0 2px rgba(220, 38, 38, 0.3));
}
.graph-link-active {
stroke: oklch(0.85 0.18 85 / 0.8);
stroke-width: 2px;
@@ -320,3 +337,51 @@ input:focus, textarea:focus {
transform: translate(400px, 400px);
}
}
/* Onboarding smooth fade-in */
@keyframes onb-fade-in {
from { opacity: 0; transform: translateY(8px); }
to { opacity: 1; transform: none; }
}
/* Opacity-only fade-in — no transform, safe for containers with fixed-position children */
@keyframes onb-fade-opacity {
from { opacity: 0; }
to { opacity: 1; }
}
/* Respect reduced motion preference */
@media (prefers-reduced-motion: reduce) {
.shooting-star,
.shooting-star::before {
animation: none !important;
opacity: 0 !important;
}
.graph-link {
animation: none;
}
.status-pulse {
animation: none;
}
.cursor-blink {
animation: none;
}
.onboarding-connection-line {
animation: none;
}
.onboarding-connection-line-red {
animation: none;
}
[style*="onb-fade-in"],
[style*="onb-fade-opacity"] {
animation: none !important;
opacity: 1 !important;
}
*,
*::before,
*::after {
transition-duration: 0.01ms !important;
animation-duration: 0.01ms !important;
animation-iteration-count: 1 !important;
}
}
+159 -277
View File
@@ -1,17 +1,15 @@
<script lang="ts">
import {
isLoading,
sendMessage,
generateImage,
editImage,
editingImage,
clearEditingImage,
selectedChatModel,
setSelectedChatModel,
instances,
ttftMs,
tps,
totalTokens,
thinkingEnabled as thinkingEnabledStore,
setConversationThinking,
stopGeneration,
} from "$lib/stores/app.svelte";
import ChatAttachments from "./ChatAttachments.svelte";
import ImageParamsPanel from "./ImageParamsPanel.svelte";
@@ -25,6 +23,20 @@
autofocus?: boolean;
showModelSelector?: boolean;
modelTasks?: Record<string, string[]>;
modelCapabilities?: Record<string, string[]>;
onSend?: () => void;
onAutoSend: (
content: string,
files?: {
id: string;
name: string;
type: string;
textContent?: string;
preview?: string;
}[],
) => void;
onOpenModelPicker?: () => void;
modelDisplayOverride?: string;
}
let {
@@ -34,6 +46,11 @@
autofocus = true,
showModelSelector = false,
modelTasks = {},
modelCapabilities = {},
onSend,
onAutoSend,
onOpenModelPicker,
modelDisplayOverride,
}: Props = $props();
let message = $state("");
@@ -41,29 +58,15 @@
let fileInputRef: HTMLInputElement | undefined = $state();
let uploadedFiles = $state<ChatUploadedFile[]>([]);
let isDragOver = $state(false);
const thinkingEnabled = $derived(thinkingEnabledStore());
let loading = $derived(isLoading());
const currentModel = $derived(selectedChatModel());
const instanceData = $derived(instances());
const currentTtft = $derived(ttftMs());
const currentTps = $derived(tps());
const currentTokens = $derived(totalTokens());
const currentEditingImage = $derived(editingImage());
const isEditMode = $derived(currentEditingImage !== null);
// Custom dropdown state
let isModelDropdownOpen = $state(false);
let dropdownButtonRef: HTMLButtonElement | undefined = $state();
let dropdownPosition = $derived(() => {
if (!dropdownButtonRef || !isModelDropdownOpen)
return { top: 0, left: 0, width: 0 };
const rect = dropdownButtonRef.getBoundingClientRect();
return {
top: rect.top,
left: rect.left,
width: rect.width,
};
});
// Accept all supported file types
const acceptString = getAcceptString(["image", "text", "pdf"]);
@@ -95,6 +98,12 @@
);
});
const modelSupportsThinking = $derived(() => {
if (!currentModel) return false;
const caps = modelCapabilities[currentModel] || [];
return caps.includes("thinking_toggle") && caps.includes("text");
});
const isEditOnlyWithoutImage = $derived(
currentModel !== null &&
modelSupportsOnlyImageEditing(currentModel) &&
@@ -110,73 +119,14 @@
uploadedFiles.length > 0),
);
// Extract available models from running instances
const availableModels = $derived(() => {
const models: Array<{ id: string; label: string; isImageModel: boolean }> =
[];
for (const [, instance] of Object.entries(instanceData)) {
const modelId = getInstanceModelId(instance);
if (
modelId &&
modelId !== "Unknown" &&
!models.some((m) => m.id === modelId)
) {
models.push({
id: modelId,
label: modelId.split("/").pop() || modelId,
isImageModel: modelSupportsImageGeneration(modelId),
});
}
}
return models;
});
// Track previous model IDs to detect newly added models (plain variable to avoid reactive loop)
let previousModelIds: Set<string> = new Set();
// Auto-select the first available model if none is selected, if current selection is stale, or if a new model is added
$effect(() => {
const models = availableModels();
const currentModelIds = new Set(models.map((m) => m.id));
if (models.length > 0) {
// Find newly added models (in current but not in previous)
const newModels = models.filter((m) => !previousModelIds.has(m.id));
// If no model selected, select the first available
if (!currentModel) {
setSelectedChatModel(models[0].id);
}
// If current model is stale (no longer has a running instance), reset to first available
else if (!models.some((m) => m.id === currentModel)) {
setSelectedChatModel(models[0].id);
}
// If a new model was just added, select it
else if (newModels.length > 0 && previousModelIds.size > 0) {
setSelectedChatModel(newModels[0].id);
}
} else {
// No instances running - clear the selected model
if (currentModel) {
setSelectedChatModel("");
}
}
// Update previous model IDs for next comparison
previousModelIds = currentModelIds;
});
function getInstanceModelId(instanceWrapped: unknown): string {
if (!instanceWrapped || typeof instanceWrapped !== "object") return "";
const keys = Object.keys(instanceWrapped as Record<string, unknown>);
if (keys.length === 1) {
const instance = (instanceWrapped as Record<string, unknown>)[
keys[0]
] as { shardAssignments?: { modelId?: string } };
return instance?.shardAssignments?.modelId || "";
}
return "";
}
// Short label for the currently selected model
const currentModelLabel = $derived(
currentModel
? currentModel.split("/").pop() || currentModel
: modelDisplayOverride
? modelDisplayOverride.split("/").pop() || modelDisplayOverride
: "",
);
async function handleFiles(files: File[]) {
if (files.length === 0) return;
@@ -254,6 +204,7 @@
function handleSubmit() {
if ((!message.trim() && uploadedFiles.length === 0) || loading) return;
if (isEditOnlyWithoutImage) return;
const content = message.trim();
const files = [...uploadedFiles];
@@ -262,30 +213,10 @@
uploadedFiles = [];
resetTextareaHeight();
// Use image editing if in edit mode
if (isEditMode && currentEditingImage && content) {
editImage(content, currentEditingImage.imageDataUrl);
}
// If user attached an image with an ImageToImage model, use edit endpoint
else if (
currentModel &&
modelSupportsImageEditing(currentModel) &&
files.length > 0 &&
content
) {
// Use the first attached image for editing
const imageFile = files[0];
if (imageFile.preview) {
editImage(content, imageFile.preview);
}
} else if (isImageModel() && content) {
// Use image generation for text-to-image models
generateImage(content);
} else {
sendMessage(content, files);
}
// Refocus the textarea after sending
// Parent controls all send logic (including image routing,
// launching non-running models before sending, etc.)
onAutoSend(content, files);
onSend?.();
setTimeout(() => textareaRef?.focus(), 10);
}
@@ -395,7 +326,7 @@
{/if}
<!-- Model selector (when enabled) -->
{#if showModelSelector && availableModels().length > 0}
{#if showModelSelector}
<div
class="flex items-center justify-between gap-2 px-3 py-2 border-b border-exo-medium-gray/30"
>
@@ -404,33 +335,22 @@
class="text-xs text-exo-light-gray uppercase tracking-wider flex-shrink-0"
>MODEL:</span
>
<!-- Custom dropdown -->
<!-- Model button — opens the full model picker -->
<div class="relative flex-1 max-w-xs">
<button
bind:this={dropdownButtonRef}
type="button"
onclick={() => (isModelDropdownOpen = !isModelDropdownOpen)}
class="w-full bg-exo-medium-gray/50 border border-exo-yellow/30 rounded pl-3 pr-8 py-1.5 text-xs font-mono text-left tracking-wide cursor-pointer transition-all duration-200 hover:border-exo-yellow/50 focus:outline-none focus:border-exo-yellow/70 {isModelDropdownOpen
? 'border-exo-yellow/70'
: ''}"
onclick={() => onOpenModelPicker?.()}
class="w-full bg-exo-medium-gray/50 border border-exo-yellow/30 rounded pl-3 pr-8 py-1.5 text-xs font-mono text-left tracking-wide cursor-pointer transition-all duration-200 hover:border-exo-yellow/50 focus:outline-none focus:border-exo-yellow/70"
>
{#if availableModels().find((m) => m.id === currentModel)}
<span class="text-exo-yellow truncate"
>{availableModels().find((m) => m.id === currentModel)
?.label}</span
>
{:else if availableModels().length > 0}
<span class="text-exo-yellow truncate"
>{availableModels()[0].label}</span
{#if currentModelLabel}
<span class="text-exo-yellow truncate">{currentModelLabel}</span
>
{:else}
<span class="text-exo-light-gray/50">— SELECT MODEL —</span>
{/if}
</button>
<div
class="absolute right-2 top-1/2 -translate-y-1/2 pointer-events-none transition-transform duration-200 {isModelDropdownOpen
? 'rotate-180'
: ''}"
class="absolute right-2 top-1/2 -translate-y-1/2 pointer-events-none"
>
<svg
class="w-3 h-3 text-exo-yellow/60"
@@ -447,79 +367,36 @@
</svg>
</div>
</div>
{#if isModelDropdownOpen}
<!-- Backdrop to close dropdown -->
<button
type="button"
class="fixed inset-0 z-[9998] cursor-default"
onclick={() => (isModelDropdownOpen = false)}
aria-label="Close dropdown"
></button>
<!-- Dropdown Panel - fixed positioning to escape overflow:hidden -->
<div
class="fixed bg-exo-dark-gray border border-exo-yellow/30 rounded shadow-lg shadow-black/50 z-[9999] max-h-48 overflow-y-auto"
style="bottom: calc(100vh - {dropdownPosition()
.top}px + 4px); left: {dropdownPosition()
.left}px; width: {dropdownPosition().width}px;"
>
<div class="py-1">
{#each availableModels() as model}
<button
type="button"
onclick={() => {
setSelectedChatModel(model.id);
isModelDropdownOpen = false;
}}
class="w-full px-3 py-2 text-left text-xs font-mono tracking-wide transition-colors duration-100 flex items-center gap-2 {currentModel ===
model.id
? 'bg-transparent text-exo-yellow'
: 'text-exo-light-gray hover:text-exo-yellow'}"
>
{#if currentModel === model.id}
<svg
class="w-3 h-3 flex-shrink-0"
fill="currentColor"
viewBox="0 0 20 20"
>
<path
fill-rule="evenodd"
d="M16.707 5.293a1 1 0 010 1.414l-8 8a1 1 0 01-1.414 0l-4-4a1 1 0 011.414-1.414L8 12.586l7.293-7.293a1 1 0 011.414 0z"
clip-rule="evenodd"
/>
</svg>
{:else}
<span class="w-3"></span>
{/if}
{#if model.isImageModel}
<svg
class="w-3.5 h-3.5 flex-shrink-0 text-exo-yellow"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
aria-label="Image generation model"
>
<rect
x="3"
y="3"
width="18"
height="18"
rx="2"
ry="2"
/>
<circle cx="8.5" cy="8.5" r="1.5" />
<polyline points="21 15 16 10 5 21" />
</svg>
{/if}
<span class="truncate flex-1">{model.label}</span>
</button>
{/each}
</div>
</div>
{/if}
</div>
<!-- Thinking toggle -->
{#if modelSupportsThinking()}
<button
type="button"
onclick={() => setConversationThinking(!thinkingEnabled)}
class="flex items-center gap-1.5 px-2 py-1 rounded text-xs font-mono tracking-wide transition-all duration-200 flex-shrink-0 cursor-pointer border {thinkingEnabled
? 'bg-exo-yellow/15 border-exo-yellow/40 text-exo-yellow'
: 'bg-exo-medium-gray/30 border-exo-medium-gray/50 text-exo-light-gray/60 hover:text-exo-light-gray'}"
title={thinkingEnabled
? "Thinking enabled — click to disable"
: "Thinking disabled — click to enable"}
>
<svg
class="w-3.5 h-3.5"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
>
<path
d="M12 2a7 7 0 0 0-7 7c0 2.38 1.19 4.47 3 5.74V17a1 1 0 0 0 1 1h6a1 1 0 0 0 1-1v-2.26c1.81-1.27 3-3.36 3-5.74a7 7 0 0 0-7-7zM9 20h6M10 22h4"
stroke-linecap="round"
stroke-linejoin="round"
/>
</svg>
<span>{thinkingEnabled ? "THINK" : "NO THINK"}</span>
</button>
{/if}
<!-- Performance stats -->
{#if currentTtft !== null || currentTps !== null}
<div class="flex items-center gap-4 text-xs font-mono flex-shrink-0">
@@ -599,92 +476,97 @@
: isImageModel()
? "Describe the image you want to generate..."
: placeholder}
disabled={loading}
rows={1}
class="flex-1 resize-none bg-transparent text-foreground placeholder:text-exo-light-gray/60 placeholder:text-sm placeholder:tracking-[0.15em] placeholder:leading-7 focus:outline-none focus:ring-0 focus:border-none disabled:opacity-50 text-sm leading-7 font-mono"
class="flex-1 resize-none bg-transparent text-foreground placeholder:text-exo-light-gray/60 placeholder:text-sm placeholder:tracking-[0.15em] placeholder:leading-7 focus:outline-none focus:ring-0 focus:border-none text-sm leading-7 font-mono"
style="min-height: 28px; max-height: 150px;"
></textarea>
<button
type="submit"
disabled={!canSend || loading || isEditOnlyWithoutImage}
class="px-2.5 sm:px-4 py-1.5 sm:py-2 rounded text-xs sm:text-xs tracking-[0.1em] sm:tracking-[0.15em] uppercase font-medium transition-all duration-200 whitespace-nowrap
{!canSend || loading || isEditOnlyWithoutImage
? 'bg-exo-medium-gray/50 text-exo-light-gray cursor-not-allowed'
: 'bg-exo-yellow text-exo-black hover:bg-exo-yellow-darker hover:shadow-[0_0_20px_rgba(255,215,0,0.3)]'}"
aria-label={shouldShowEditMode
? "Edit image"
: isImageModel()
? "Generate image"
: "Send message"}
>
{#if loading}
{#if loading}
<button
type="button"
onclick={() => stopGeneration()}
class="px-2.5 sm:px-4 py-1.5 sm:py-2 rounded text-xs sm:text-xs tracking-[0.1em] sm:tracking-[0.15em] font-medium transition-all duration-200 whitespace-nowrap bg-exo-medium-gray/70 text-exo-light-gray hover:bg-exo-medium-gray hover:text-white"
aria-label="Stop generation"
>
<span class="inline-flex items-center gap-1 sm:gap-2">
<span
class="w-2.5 h-2.5 sm:w-3 sm:h-3 border-2 border-current border-t-transparent rounded-full animate-spin"
></span>
<span class="hidden sm:inline"
>{shouldShowEditMode
? "EDITING"
: isImageModel()
? "GENERATING"
: "PROCESSING"}</span
>
<span class="sm:hidden">...</span>
</span>
{:else if shouldShowEditMode}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
class="w-3 h-3 sm:w-3.5 sm:h-3.5"
fill="currentColor"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
<rect x="6" y="6" width="12" height="12" rx="1" />
</svg>
<span>EDIT</span>
<span class="hidden sm:inline">Cancel</span>
</span>
{:else if isEditOnlyWithoutImage}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
</svg>
<span>EDIT</span>
</span>
{:else if isImageModel()}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<rect x="3" y="3" width="18" height="18" rx="2" ry="2" />
<circle cx="8.5" cy="8.5" r="1.5" />
<polyline points="21 15 16 10 5 21" />
</svg>
<span>GENERATE</span>
</span>
{:else}
SEND
{/if}
</button>
</button>
{:else}
<button
type="submit"
disabled={!canSend || isEditOnlyWithoutImage}
class="px-2.5 sm:px-4 py-1.5 sm:py-2 rounded text-xs sm:text-xs tracking-[0.1em] sm:tracking-[0.15em] uppercase font-medium transition-all duration-200 whitespace-nowrap
{!canSend || isEditOnlyWithoutImage
? 'bg-exo-medium-gray/50 text-exo-light-gray cursor-not-allowed'
: 'bg-exo-yellow text-exo-black hover:bg-exo-yellow-darker hover:shadow-[0_0_20px_rgba(255,215,0,0.3)]'}"
aria-label={shouldShowEditMode
? "Edit image"
: isImageModel()
? "Generate image"
: "Send message"}
>
{#if shouldShowEditMode}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
</svg>
<span>EDIT</span>
</span>
{:else if isEditOnlyWithoutImage}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
</svg>
<span>EDIT</span>
</span>
{:else if isImageModel()}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<rect x="3" y="3" width="18" height="18" rx="2" ry="2" />
<circle cx="8.5" cy="8.5" r="1.5" />
<polyline points="21 15 16 10 5 21" />
</svg>
<span>GENERATE</span>
</span>
{:else}
SEND
{/if}
</button>
{/if}
</div>
<!-- Bottom accent line -->
+135 -18
View File
@@ -3,14 +3,18 @@
messages,
currentResponse,
isLoading,
prefillProgress,
deleteMessage,
editAndRegenerate,
regenerateLastResponse,
regenerateFromToken,
setEditingImage,
} from "$lib/stores/app.svelte";
import type { Message } from "$lib/stores/app.svelte";
import type { MessageAttachment } from "$lib/stores/app.svelte";
import MarkdownContent from "./MarkdownContent.svelte";
import TokenHeatmap from "./TokenHeatmap.svelte";
import PrefillProgressBar from "./PrefillProgressBar.svelte";
import ImageLightbox from "./ImageLightbox.svelte";
interface Props {
class?: string;
@@ -22,6 +26,7 @@
const messageList = $derived(messages());
const response = $derived(currentResponse());
const loading = $derived(isLoading());
const prefill = $derived(prefillProgress());
// Scroll management - user controls scroll, show button when not at bottom
const SCROLL_THRESHOLD = 100;
@@ -99,6 +104,26 @@
let copiedMessageId = $state<string | null>(null);
let expandedThinkingMessageIds = $state<Set<string>>(new Set());
// Lightbox state
let expandedImageSrc = $state<string | null>(null);
// Uncertainty heatmap toggle
let heatmapMessageIds = $state<Set<string>>(new Set());
function toggleHeatmap(messageId: string) {
const next = new Set(heatmapMessageIds);
if (next.has(messageId)) {
next.delete(messageId);
} else {
next.add(messageId);
}
heatmapMessageIds = next;
}
function isHeatmapVisible(messageId: string): boolean {
return heatmapMessageIds.has(messageId);
}
function formatTimestamp(timestamp: number): string {
return new Date(timestamp).toLocaleTimeString("en-US", {
hour12: false,
@@ -114,6 +139,8 @@
return "🖼";
case "text":
return "📄";
case "pdf":
return "📑";
default:
return "📎";
}
@@ -202,6 +229,7 @@
}
function handleDeleteClick(messageId: string) {
if (loading) return;
deleteConfirmId = messageId;
}
@@ -232,7 +260,7 @@
</script>
<div class="flex flex-col gap-4 sm:gap-6 {className}">
{#each messageList as message (message.id)}
{#each messageList as message, i (message.id)}
<div
class="group flex {message.role === 'user'
? 'justify-end'
@@ -294,9 +322,11 @@
<!-- Delete confirmation -->
<div class="bg-red-500/10 border border-red-500/30 rounded-lg p-3">
<p class="text-xs text-red-400 mb-3">
Delete this message{message.role === "user"
? " and all responses after it"
: ""}?
{#if i === messageList.length - 1}
Delete this message?
{:else}
Delete this message and all messages after it?
{/if}
</p>
<div class="flex gap-2 justify-end">
<button
@@ -370,10 +400,15 @@
class="flex items-center gap-2 bg-exo-dark-gray/60 border border-exo-yellow/20 rounded px-2 py-1 text-xs font-mono"
>
{#if attachment.type === "image" && attachment.preview}
<!-- svelte-ignore a11y_no_noninteractive_element_interactions, a11y_click_events_have_key_events -->
<img
src={attachment.preview}
alt={attachment.name}
class="w-12 h-12 object-cover rounded border border-exo-yellow/20"
class="w-12 h-12 object-cover rounded border border-exo-yellow/20 cursor-pointer hover:border-exo-yellow/50 transition-colors"
onclick={() => {
if (attachment.preview)
expandedImageSrc = attachment.preview;
}}
/>
{:else}
<span>{getAttachmentIcon(attachment)}</span>
@@ -397,6 +432,9 @@
{:else}
<!-- Assistant message styling -->
<div class="p-3 sm:p-4">
{#if loading && isLastAssistantMessage(message.id) && prefill && !message.content}
<PrefillProgressBar progress={prefill} class="mb-3" />
{/if}
{#if message.thinking && message.thinking.trim().length > 0}
<div
class="mb-3 rounded border border-exo-yellow/20 bg-exo-black/40"
@@ -447,15 +485,44 @@
<div class="mb-3">
{#each message.attachments.filter((a) => a.type === "generated-image") as attachment}
<div class="relative group/img inline-block">
<!-- svelte-ignore a11y_no_noninteractive_element_interactions, a11y_click_events_have_key_events -->
<img
src={attachment.preview}
alt=""
class="max-w-full max-h-[512px] rounded-lg border border-exo-yellow/20 shadow-lg shadow-black/20"
class="max-w-full max-h-[512px] rounded-lg border border-exo-yellow/20 shadow-lg shadow-black/20 cursor-pointer"
onclick={() => {
if (attachment.preview)
expandedImageSrc = attachment.preview;
}}
/>
<!-- Button overlay -->
<div
class="absolute top-2 right-2 flex gap-1 opacity-0 group-hover/img:opacity-100 transition-opacity"
>
<!-- Expand button -->
<button
type="button"
class="p-2 rounded-lg bg-exo-dark-gray/80 border border-exo-yellow/30 text-exo-yellow hover:bg-exo-dark-gray hover:border-exo-yellow/50 cursor-pointer"
onclick={() => {
if (attachment.preview)
expandedImageSrc = attachment.preview;
}}
title="Expand image"
>
<svg
class="w-4 h-4"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M4 8V4m0 0h4M4 4l5 5m11-1V4m0 0h-4m4 0l-5 5M4 16v4m0 0h4m-4 0l5-5m11 5l-5-5m5 5v-4m0 4h-4"
/>
</svg>
</button>
<!-- Edit button -->
<button
type="button"
@@ -548,13 +615,23 @@
>
</div>
{:else if message.content || (loading && !message.attachments?.some((a) => a.type === "generated-image"))}
<MarkdownContent
content={message.content || (loading ? response : "")}
/>
{#if loading && !message.content}
<span
class="inline-block w-2 h-4 bg-exo-yellow/70 ml-1 cursor-blink"
></span>
{#if isHeatmapVisible(message.id) && message.tokens && message.tokens.length > 0}
<TokenHeatmap
tokens={message.tokens}
isGenerating={loading &&
isLastAssistantMessage(message.id)}
onRegenerateFrom={(tokenIndex) =>
regenerateFromToken(message.id, tokenIndex)}
/>
{:else}
<MarkdownContent
content={message.content || (loading ? response : "")}
/>
{#if loading && !message.content}
<span
class="inline-block w-2 h-4 bg-exo-yellow/70 ml-1 cursor-blink"
></span>
{/if}
{/if}
{/if}
</div>
@@ -629,6 +706,35 @@
</button>
{/if}
<!-- Uncertainty heatmap toggle (assistant messages with tokens) -->
{#if message.role === "assistant" && message.tokens && message.tokens.length > 0}
<button
onclick={() => toggleHeatmap(message.id)}
class="p-1.5 transition-colors rounded cursor-pointer {isHeatmapVisible(
message.id,
)
? 'text-exo-yellow'
: 'text-exo-light-gray hover:text-exo-yellow'}"
title={isHeatmapVisible(message.id)
? "Hide uncertainty heatmap"
: "Show uncertainty heatmap"}
>
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M9 19v-6a2 2 0 00-2-2H5a2 2 0 00-2 2v6a2 2 0 002 2h2a2 2 0 002-2zm0 0V9a2 2 0 012-2h2a2 2 0 012 2v10m-6 0a2 2 0 002 2h2a2 2 0 002-2m0 0V5a2 2 0 012-2h2a2 2 0 012 2v14a2 2 0 01-2 2h-2a2 2 0 01-2-2z"
/>
</svg>
</button>
{/if}
<!-- Regenerate button (last assistant message only) -->
{#if message.role === "assistant" && isLastAssistantMessage(message.id) && !loading}
<button
@@ -655,8 +761,13 @@
<!-- Delete button -->
<button
onclick={() => handleDeleteClick(message.id)}
class="p-1.5 text-exo-light-gray hover:text-red-400 transition-colors rounded hover:bg-red-500/10 cursor-pointer"
title="Delete message"
disabled={loading}
class="p-1.5 transition-colors rounded {loading
? 'text-exo-light-gray/30 cursor-not-allowed'
: 'text-exo-light-gray hover:text-red-400 hover:bg-red-500/10 cursor-pointer'}"
title={loading
? "Cannot delete while generating"
: "Delete message"}
>
<svg
class="w-3.5 h-3.5"
@@ -698,8 +809,8 @@
>
AWAITING INPUT
</p>
<p class="text-sm sm:text-xs text-exo-light-gray tracking-wider mt-1">
ENTER A QUERY TO BEGIN
<p class="text-xs text-white/30 tracking-wider mt-1.5 font-mono">
Type a message below &middot; Shift+Enter for newline
</p>
</div>
{/if}
@@ -714,6 +825,7 @@
onclick={scrollToBottom}
class="sticky bottom-4 left-1/2 -translate-x-1/2 w-10 h-10 rounded-full bg-exo-dark-gray/90 border border-exo-medium-gray/50 flex items-center justify-center text-exo-light-gray hover:text-exo-yellow hover:border-exo-yellow/50 transition-all shadow-lg cursor-pointer z-10"
title="Scroll to bottom"
aria-label="Scroll to bottom of messages"
>
<svg
class="w-5 h-5"
@@ -731,3 +843,8 @@
</button>
{/if}
</div>
<ImageLightbox
src={expandedImageSrc}
onclose={() => (expandedImageSrc = null)}
/>
@@ -0,0 +1,401 @@
<script lang="ts" module>
export interface ChatModelInfo {
id: string;
name: string;
base_model: string;
storage_size_megabytes: number;
capabilities: string[];
family: string;
quantization: string;
}
// Auto mode tier list (for when user just starts typing)
export const AUTO_TIERS: string[][] = [
// Tier 1 (frontier)
["DeepSeek V3.1", "GLM-5", "Kimi K2.5", "Qwen3 Coder Next"],
// Tier 2 (excellent)
[
"Kimi K2",
"Qwen3 235B",
"MiniMax M2.5",
"Step 3.5 Flash",
"Qwen3 Next 80B",
],
// Tier 3 (great)
[
"GLM 4.7",
"MiniMax M2.1",
"Qwen3 Coder 480B",
"GLM 4.5 Air",
"Llama 3.3 70B",
],
// Tier 4 (good)
["GPT-OSS 120B", "Qwen3 30B", "Llama 3.1 70B", "GLM 4.7 Flash"],
// Tier 5 (small/fast)
[
"Llama 3.1 8B",
"GPT-OSS 20B",
"Llama 3.2 3B",
"Qwen3 0.6B",
"Llama 3.2 1B",
],
];
/** Return the tier index (0 = best) for a base_model name. */
export function getAutoTierIndex(baseModel: string): number {
for (let i = 0; i < AUTO_TIERS.length; i++) {
if (AUTO_TIERS[i].includes(baseModel)) return i;
}
return AUTO_TIERS.length; // not in any tier → lowest priority
}
/** Auto mode: walk tiers top-down, pick biggest fitting variant from highest tier. */
export function pickAutoModel(
modelList: ChatModelInfo[],
memoryGB: number,
): ChatModelInfo | null {
for (const tier of AUTO_TIERS) {
const candidates: ChatModelInfo[] = [];
for (const baseModel of tier) {
const variants = modelList
.filter(
(m) =>
m.base_model === baseModel &&
(m.storage_size_megabytes || 0) / 1024 <= memoryGB &&
(m.storage_size_megabytes || 0) > 0,
)
.sort(
(a, b) =>
(b.storage_size_megabytes || 0) - (a.storage_size_megabytes || 0),
);
if (variants[0]) candidates.push(variants[0]);
}
if (candidates.length > 0) {
candidates.sort(
(a, b) =>
(b.storage_size_megabytes || 0) - (a.storage_size_megabytes || 0),
);
return candidates[0];
}
}
return null;
}
</script>
<script lang="ts">
interface CategoryRecommendation {
category: "coding" | "writing" | "agentic" | "biggest";
label: string;
model: ChatModelInfo | null;
tooltip: string;
}
interface Props {
models: ChatModelInfo[];
clusterLabel: string;
totalMemoryGB: number;
onSelect: (modelId: string, category: string) => void;
onAddModel: () => void;
class?: string;
}
let {
models,
clusterLabel,
totalMemoryGB,
onSelect,
onAddModel,
class: className = "",
}: Props = $props();
// --- Hardcoded Rankings ---
const CODING_RANKING = [
"Qwen3 Coder Next",
"Qwen3 Coder 480B",
"Qwen3 30B",
"GPT-OSS 20B",
"Llama 3.1 8B",
"Llama 3.2 3B",
"Qwen3 0.6B",
];
const WRITING_RANKING = [
"Kimi K2.5",
"Kimi K2",
"Qwen3 Next 80B",
"Llama 3.3 70B",
"MiniMax M2.5",
"GLM 4.5 Air",
"GLM 4.7 Flash",
"GPT-OSS 20B",
"Llama 3.1 8B",
"Llama 3.2 3B",
"Qwen3 0.6B",
];
const AGENTIC_RANKING = [
"DeepSeek V3.1",
"GLM-5",
"Qwen3 235B",
"Step 3.5 Flash",
"GLM 4.7",
"MiniMax M2.1",
"GPT-OSS 120B",
"Llama 3.3 70B",
"Llama 3.1 70B",
"GLM 4.7 Flash",
"GPT-OSS 20B",
"Qwen3 30B",
"Llama 3.1 8B",
"Llama 3.2 3B",
"Qwen3 0.6B",
];
function getModelSizeGB(m: ChatModelInfo): number {
return (m.storage_size_megabytes || 0) / 1024;
}
function fitsInMemory(m: ChatModelInfo): boolean {
return getModelSizeGB(m) <= totalMemoryGB && getModelSizeGB(m) > 0;
}
/** For a given base_model name, find the biggest quant variant that fits in memory. */
function pickBestVariant(baseModel: string): ChatModelInfo | null {
const variants = models
.filter((m) => m.base_model === baseModel && fitsInMemory(m))
.sort((a, b) => getModelSizeGB(b) - getModelSizeGB(a));
return variants[0] ?? null;
}
/** Walk a ranked list of base_model names, return the first that has a fitting variant. */
function pickFromRanking(ranking: string[]): ChatModelInfo | null {
for (const baseModel of ranking) {
const pick = pickBestVariant(baseModel);
if (pick) return pick;
}
return null;
}
/** Pick the single biggest model that fits. */
function pickBiggest(): ChatModelInfo | null {
const fitting = models
.filter((m) => fitsInMemory(m))
.sort((a, b) => getModelSizeGB(b) - getModelSizeGB(a));
return fitting[0] ?? null;
}
const recommendations = $derived.by((): CategoryRecommendation[] => {
return [
{
category: "coding",
label: "Best for Coding",
model: pickFromRanking(CODING_RANKING),
tooltip:
"Ranked by coding benchmark performance (LiveCodeBench, SWE-bench)",
},
{
category: "writing",
label: "Best for Writing",
model: pickFromRanking(WRITING_RANKING),
tooltip: "Ranked by creative writing quality and instruction following",
},
{
category: "agentic",
label: "Best Agentic",
model: pickFromRanking(AGENTIC_RANKING),
tooltip: "Ranked by reasoning, planning, and tool-use capability",
},
{
category: "biggest",
label: "Biggest",
model: pickBiggest(),
tooltip: "Largest model that fits in your available memory",
},
];
});
function formatSize(mb: number): string {
const gb = mb / 1024;
if (gb >= 100) return `${Math.round(gb)} GB`;
return `${gb.toFixed(1)} GB`;
}
// Category icons (SVG paths)
const categoryIcons: Record<string, string> = {
coding:
"M8 9l3 3-3 3m5 0h3M5 20h14a2 2 0 002-2V6a2 2 0 00-2-2H5a2 2 0 00-2 2v12a2 2 0 002 2z",
writing:
"M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z",
agentic:
"M9.663 17h4.673M12 3v1m6.364 1.636l-.707.707M21 12h-1M4 12H3m3.343-5.657l-.707-.707m2.828 9.9a5 5 0 117.072 0l-.548.547A3.374 3.374 0 0014 18.469V19a2 2 0 11-4 0v-.531c0-.895-.356-1.754-.988-2.386l-.548-.547z",
biggest:
"M19 11H5m14 0a2 2 0 012 2v6a2 2 0 01-2 2H5a2 2 0 01-2-2v-6a2 2 0 012-2m14 0V9a2 2 0 00-2-2M5 11V9a2 2 0 012-2m0 0V5a2 2 0 012-2h6a2 2 0 012 2v2M7 7h10",
};
let hoveredTooltip = $state<string | null>(null);
let tooltipAnchor = $state<{ x: number; y: number } | null>(null);
function showTooltip(category: string, e: MouseEvent | FocusEvent) {
hoveredTooltip = category;
const target = e.currentTarget as HTMLElement;
const rect = target.getBoundingClientRect();
tooltipAnchor = { x: rect.left + rect.width / 2, y: rect.top };
}
function hideTooltip() {
hoveredTooltip = null;
tooltipAnchor = null;
}
</script>
<div class="flex flex-col items-center justify-center gap-6 {className}">
<!-- Header -->
<div class="text-center">
<p class="text-xs text-exo-light-gray uppercase tracking-[0.2em] mb-1">
Recommended for your
</p>
<p class="text-sm text-white font-mono tracking-wide">{clusterLabel}</p>
</div>
<!-- Category Cards Grid -->
<div class="grid grid-cols-2 gap-3 w-full max-w-md">
{#each recommendations as rec}
{#if rec.model}
<button
type="button"
onclick={() => rec.model && onSelect(rec.model.id, rec.category)}
class="group relative flex flex-col items-start gap-2 p-4 rounded-lg border border-exo-medium-gray/50 bg-exo-dark-gray/50 hover:border-exo-yellow/40 hover:bg-exo-dark-gray transition-all duration-200 cursor-pointer text-left"
>
<!-- Category icon + label -->
<div class="flex items-center gap-2 w-full">
<svg
class="w-4 h-4 text-exo-yellow/70 group-hover:text-exo-yellow transition-colors flex-shrink-0"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="1.5"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d={categoryIcons[rec.category]}
/>
</svg>
<span
class="text-xs font-mono uppercase tracking-wider text-exo-light-gray group-hover:text-white transition-colors"
>
{rec.label}
</span>
<!-- Info tooltip -->
<div class="ml-auto flex-shrink-0">
<span
role="button"
tabindex="-1"
class="text-exo-light-gray/40 hover:text-exo-light-gray transition-colors cursor-help inline-flex"
onmouseenter={(e: MouseEvent) => showTooltip(rec.category, e)}
onmouseleave={() => hideTooltip()}
onclick={(e: MouseEvent) => {
e.stopPropagation();
if (hoveredTooltip === rec.category) {
hideTooltip();
} else {
showTooltip(rec.category, e);
}
}}
>
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<circle cx="12" cy="12" r="10" />
<path d="M12 16v-4m0-4h.01" />
</svg>
</span>
</div>
</div>
<!-- Model name + size -->
<div class="w-full">
<p class="text-sm text-white font-mono truncate">
{rec.model.base_model}
</p>
<p class="text-xs text-exo-light-gray/60 font-mono mt-0.5">
{formatSize(rec.model.storage_size_megabytes)}
{#if rec.model.quantization}
<span class="text-exo-light-gray/40"
>&middot; {rec.model.quantization}</span
>
{/if}
</p>
</div>
</button>
{:else}
<!-- No model fits for this category -->
<div
class="flex flex-col items-start gap-2 p-4 rounded-lg border border-exo-medium-gray/30 bg-exo-dark-gray/30 opacity-50"
>
<div class="flex items-center gap-2">
<svg
class="w-4 h-4 text-exo-light-gray/40 flex-shrink-0"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="1.5"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d={categoryIcons[rec.category]}
/>
</svg>
<span
class="text-xs font-mono uppercase tracking-wider text-exo-light-gray/50"
>{rec.label}</span
>
</div>
<p class="text-xs text-exo-light-gray/40 font-mono">No model fits</p>
</div>
{/if}
{/each}
</div>
<!-- Add Model Button -->
<button
type="button"
onclick={onAddModel}
class="flex items-center gap-2 px-4 py-2 text-xs font-mono uppercase tracking-wider text-exo-light-gray hover:text-exo-yellow border border-exo-medium-gray/30 hover:border-exo-yellow/30 rounded-lg transition-all duration-200 cursor-pointer"
>
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path stroke-linecap="round" stroke-linejoin="round" d="M12 4v16m8-8H4" />
</svg>
Add Model
</button>
<!-- Auto hint -->
<p class="text-xs text-exo-light-gray/40 font-mono tracking-wide text-center">
Or just start typing &mdash; we'll pick the best model automatically
</p>
</div>
<!-- Fixed-position tooltip (escapes overflow-hidden ancestors) -->
{#if hoveredTooltip && tooltipAnchor}
{@const rec = recommendations.find((r) => r.category === hoveredTooltip)}
{#if rec}
<div
class="fixed z-[9999] px-3 py-2 bg-exo-black border border-exo-medium-gray/50 rounded text-xs text-exo-light-gray whitespace-nowrap shadow-lg pointer-events-none"
style="left: {tooltipAnchor.x}px; top: {tooltipAnchor.y -
8}px; transform: translate(-50%, -100%);"
>
{rec.tooltip}
</div>
{/if}
{/if}
+67 -33
View File
@@ -2,7 +2,6 @@
import {
conversations,
activeConversationId,
createConversation,
loadConversation,
deleteConversation,
deleteAllConversations,
@@ -17,9 +16,21 @@
interface Props {
class?: string;
onNewChat?: () => void;
onSelectConversation?: () => void;
isMobileDrawer?: boolean;
isOpen?: boolean;
onClose?: () => void;
}
let { class: className = "" }: Props = $props();
let {
class: className = "",
onNewChat,
onSelectConversation,
isMobileDrawer = false,
isOpen = false,
onClose,
}: Props = $props();
const conversationList = $derived(conversations());
const activeId = $derived(activeConversationId());
@@ -42,11 +53,16 @@
);
function handleNewChat() {
createConversation();
onNewChat?.();
}
function handleSelectConversation(id: string) {
onSelectConversation?.();
loadConversation(id);
// Close mobile drawer when selecting a conversation
if (isMobileDrawer && isOpen) {
onClose?.();
}
}
function handleStartEdit(id: string, name: string, event: MouseEvent) {
@@ -185,11 +201,7 @@
let instanceType: string | null = null;
if (instanceTag === "MlxRingInstance") instanceType = "MLX Ring";
else if (
instanceTag === "MlxIbvInstance" ||
instanceTag === "MlxJacclInstance"
)
instanceType = "MLX RDMA";
else if (instanceTag === "MlxJacclInstance") instanceType = "MLX RDMA";
let sharding: string | null = null;
const inst = instance as {
@@ -250,9 +262,7 @@
}
</script>
<aside
class="flex flex-col h-full bg-exo-dark-gray border-r border-exo-yellow/10 {className}"
>
{#snippet sidebarContent()}
<!-- Header -->
<div class="p-4">
<button
@@ -307,7 +317,7 @@
<div class="py-2">
<div class="px-4 py-2">
<span
class="text-sm text-white/70 font-mono tracking-wider uppercase"
class="text-xs text-exo-light-gray font-mono tracking-wider uppercase"
>
{searchQuery ? "SEARCH RESULTS" : "CONVERSATIONS"}
</span>
@@ -376,39 +386,37 @@
onkeydown={(e) =>
e.key === "Enter" &&
handleSelectConversation(conversation.id)}
class="group w-full flex items-center justify-between p-2 rounded mb-1 transition-all text-left cursor-pointer
class="group w-full flex items-center justify-between p-2.5 rounded-lg mb-1 transition-all text-left cursor-pointer
{activeId === conversation.id
? 'bg-transparent border border-exo-yellow/30'
: 'hover:border-exo-yellow/20 border border-transparent'}"
? 'bg-exo-yellow/5 border border-exo-yellow/30'
: 'hover:bg-white/[0.03] hover:border-white/10 border border-transparent'}"
>
<div class="flex-1 min-w-0 pr-2">
<div
class="text-sm truncate {activeId === conversation.id
class="text-sm font-medium truncate {activeId ===
conversation.id
? 'text-exo-yellow'
: 'text-white/90'}"
: 'text-white'}"
>
{conversation.name}
</div>
<div class="text-sm text-white/50 mt-0.5">
<div class="text-xs text-white/60 mt-0.5">
{formatDate(conversation.updatedAt)}
</div>
<div class="text-sm text-white/70 truncate">
<div class="text-xs text-exo-light-gray truncate">
{info.modelLabel}
</div>
<div class="text-xs text-white/60 font-mono">
Strategy: <span class="text-white/80"
>{info.strategyLabel}</span
>
</div>
{#if stats}
<div class="text-xs text-white/60 font-mono mt-1">
{#if stats.ttftMs}<span class="text-white/40">TTFT</span>
{stats.ttftMs.toFixed(
0,
)}ms{/if}{#if stats.ttftMs && stats.tps}<span
class="text-white/30 mx-1.5"></span
>{/if}{#if stats.tps}{stats.tps.toFixed(1)}
<span class="text-white/40">tok/s</span>{/if}
<div class="text-xs text-white/70 font-mono mt-1">
{#if stats.ttftMs}<span class="text-white/50">TTFT</span>
<span class="text-exo-yellow/80"
>{stats.ttftMs.toFixed(0)}ms</span
>{/if}{#if stats.ttftMs && stats.tps}<span
class="text-white/30 mx-1.5">·</span
>{/if}{#if stats.tps}<span class="text-exo-yellow/80"
>{stats.tps.toFixed(1)}</span
>
<span class="text-white/50">tok/s</span>{/if}
</div>
{/if}
</div>
@@ -591,4 +599,30 @@
</button>
</div>
</div>
</aside>
{/snippet}
{#if isMobileDrawer}
<!-- Mobile drawer with overlay -->
{#if isOpen}
<!-- Overlay backdrop -->
<button
type="button"
class="fixed inset-0 bg-black/60 backdrop-blur-sm z-40 md:hidden"
onclick={() => onClose?.()}
aria-label="Close sidebar"
></button>
<!-- Drawer panel -->
<aside
class="fixed left-0 top-0 bottom-0 w-72 bg-exo-dark-gray border-r border-exo-yellow/10 z-50 flex flex-col md:hidden"
>
{@render sidebarContent()}
</aside>
{/if}
{:else}
<!-- Desktop sidebar -->
<aside
class="flex flex-col h-full bg-exo-dark-gray border-r border-exo-yellow/10 {className}"
>
{@render sidebarContent()}
</aside>
{/if}
@@ -0,0 +1,20 @@
<script lang="ts">
import { isConnected } from "$lib/stores/app.svelte";
import { slide } from "svelte/transition";
const connected = $derived(isConnected());
</script>
{#if !connected}
<div
transition:slide={{ duration: 200 }}
class="relative z-50 flex items-center justify-center gap-2 px-4 py-2 bg-red-950/80 border-b border-red-500/30"
role="alert"
aria-live="assertive"
>
<div class="w-2 h-2 bg-red-500 rounded-full animate-pulse"></div>
<span class="text-xs font-mono text-red-300 tracking-wider uppercase">
Connection lost &mdash; Reconnecting to backend&hellip;
</span>
</div>
{/if}
@@ -0,0 +1,277 @@
<script lang="ts">
/**
* DeviceIcon — renders a device icon as an SVG <g> element.
* Uses the exact same proportional math as TopologyGraph.svelte
* so that devices look identical in both the topology view and
* the onboarding animation.
*
* Must be placed inside an <svg> element.
*/
interface Props {
/** "macbook pro" | "mac studio" | "mac mini" etc. */
deviceType: string;
/** Center X coordinate in SVG space */
cx: number;
/** Center Y coordinate in SVG space */
cy: number;
/** Base sizing factor (equivalent to TopologyGraph's nodeRadius) */
size?: number;
/** RAM usage 0100 */
ramPercent?: number;
/** Unique id suffix for clip-path ids */
uid?: string;
}
let {
deviceType,
cx,
cy,
size = 60,
ramPercent = 60,
uid = "dev",
}: Props = $props();
// Apple logo path — same constant used by TopologyGraph
const APPLE_LOGO_PATH =
"M788.1 340.9c-5.8 4.5-108.2 62.2-108.2 190.5 0 148.4 130.3 200.9 134.2 202.2-.6 3.2-20.7 71.9-68.7 141.9-42.8 61.6-87.5 123.1-155.5 123.1s-85.5-39.5-164-39.5c-76.5 0-103.7 40.8-165.9 40.8s-105.6-57-155.5-127C46.7 790.7 0 663 0 541.8c0-194.4 126.4-297.5 250.8-297.5 66.1 0 121.2 43.4 162.7 43.4 39.5 0 101.1-46 176.3-46 28.5 0 130.9 2.6 198.3 99.2zm-234-181.5c31.1-36.9 53.1-88.1 53.1-139.3 0-7.1-.6-14.3-1.9-20.1-50.6 1.9-110.8 33.7-147.1 75.8-28.5 32.4-55.1 83.6-55.1 135.5 0 7.8 1.3 15.6 1.9 18.1 3.2.6 8.4 1.3 13.6 1.3 45.4 0 102.5-30.4 135.5-71.3z";
const LOGO_NATIVE_WIDTH = 814;
const LOGO_NATIVE_HEIGHT = 1000;
const wireColor = "rgba(179,179,179,0.8)";
const strokeWidth = 1.5;
const modelLower = $derived(deviceType.toLowerCase());
// ── Mac Studio dimensions (same ratios as TopologyGraph) ──
const studioW = $derived(size * 1.25);
const studioH = $derived(size * 0.85);
const studioX = $derived(cx - studioW / 2);
const studioY = $derived(cy - studioH / 2);
const studioCorner = 4;
const studioTopH = $derived(studioH * 0.15);
// Studio front panel details
const studioSlotH = $derived(studioH * 0.14);
const studioVSlotW = $derived(studioW * 0.05);
const studioVSlotY = $derived(
studioY + studioTopH + (studioH - studioTopH) * 0.6,
);
const studioVSlot1X = $derived(studioX + studioW * 0.18);
const studioVSlot2X = $derived(studioX + studioW * 0.28);
const studioHSlotW = $derived(studioW * 0.2);
const studioHSlotX = $derived(studioX + studioW * 0.5 - studioHSlotW / 2);
// Studio memory fill
const studioMemTotalH = $derived(studioH - studioTopH);
const studioMemH = $derived((ramPercent / 100) * studioMemTotalH);
// ── MacBook dimensions (same ratios as TopologyGraph) ──
const mbW = $derived((size * 1.6 * 0.85) / 1.15);
const mbH = $derived(size * 0.85);
const mbX = $derived(cx - mbW / 2);
const mbY = $derived(cy - mbH / 2);
const mbScreenH = $derived(mbH * 0.7);
const mbBaseH = $derived(mbH * 0.3);
const mbScreenW = $derived(mbW * 0.85);
const mbScreenX = $derived(cx - mbScreenW / 2);
const mbBezel = 3;
// MacBook memory fill
const mbMemTotalH = $derived(mbScreenH - mbBezel * 2);
const mbMemH = $derived((ramPercent / 100) * mbMemTotalH);
// Apple logo sizing
const mbLogoTargetH = $derived(mbScreenH * 0.22);
const mbLogoScale = $derived(mbLogoTargetH / LOGO_NATIVE_HEIGHT);
const mbLogoX = $derived(cx - (LOGO_NATIVE_WIDTH * mbLogoScale) / 2);
const mbLogoY = $derived(
mbY + mbScreenH / 2 - (LOGO_NATIVE_HEIGHT * mbLogoScale) / 2,
);
// MacBook base (trapezoidal)
const mbBaseY = $derived(mbY + mbScreenH);
const mbBaseTopW = $derived(mbScreenW);
const mbBaseBottomW = $derived(mbW);
const mbBaseTopX = $derived(cx - mbBaseTopW / 2);
const mbBaseBottomX = $derived(cx - mbBaseBottomW / 2);
// Keyboard
const mbKbX = $derived(mbBaseTopX + 6);
const mbKbY = $derived(mbBaseY + 3);
const mbKbW = $derived(mbBaseTopW - 12);
const mbKbH = $derived(mbBaseH * 0.55);
// Trackpad
const mbTpW = $derived(mbBaseTopW * 0.4);
const mbTpX = $derived(cx - mbTpW / 2);
const mbTpY = $derived(mbBaseY + mbKbH + 5);
const mbTpH = $derived(mbBaseH * 0.3);
// Clip IDs
const screenClipId = $derived(`di-screen-${uid}`);
const studioClipId = $derived(`di-studio-${uid}`);
</script>
{#if modelLower === "mac studio" || modelLower === "mac mini"}
<!-- Mac Studio / Mac Mini -->
<defs>
<clipPath id={studioClipId}>
<rect
x={studioX}
y={studioY + studioTopH}
width={studioW}
height={studioH - studioTopH}
rx={studioCorner - 1}
/>
</clipPath>
</defs>
<!-- Main body -->
<rect
x={studioX}
y={studioY}
width={studioW}
height={studioH}
rx={studioCorner}
fill="#1a1a1a"
stroke={wireColor}
stroke-width={strokeWidth}
/>
<!-- Memory fill -->
{#if ramPercent > 0}
<rect
x={studioX}
y={studioY + studioTopH + (studioMemTotalH - studioMemH)}
width={studioW}
height={studioMemH}
fill="rgba(255,215,0,0.75)"
clip-path="url(#{studioClipId})"
/>
{/if}
<!-- Top surface divider -->
<line
x1={studioX}
y1={studioY + studioTopH}
x2={studioX + studioW}
y2={studioY + studioTopH}
stroke="rgba(179,179,179,0.3)"
stroke-width="0.5"
/>
<!-- Front panel: vertical slots -->
<rect
x={studioVSlot1X - studioVSlotW / 2}
y={studioVSlotY}
width={studioVSlotW}
height={studioSlotH}
fill="rgba(0,0,0,0.35)"
rx="1.5"
/>
<rect
x={studioVSlot2X - studioVSlotW / 2}
y={studioVSlotY}
width={studioVSlotW}
height={studioSlotH}
fill="rgba(0,0,0,0.35)"
rx="1.5"
/>
<!-- Horizontal slot (SD card) -->
<rect
x={studioHSlotX}
y={studioVSlotY}
width={studioHSlotW}
height={studioSlotH * 0.6}
fill="rgba(0,0,0,0.35)"
rx="1"
/>
{:else}
<!-- MacBook Pro -->
<defs>
<clipPath id={screenClipId}>
<rect
x={mbScreenX + mbBezel}
y={mbY + mbBezel}
width={mbScreenW - mbBezel * 2}
height={mbScreenH - mbBezel * 2}
rx="2"
/>
</clipPath>
</defs>
<!-- Screen outer frame -->
<rect
x={mbScreenX}
y={mbY}
width={mbScreenW}
height={mbScreenH}
rx="3"
fill="#1a1a1a"
stroke={wireColor}
stroke-width={strokeWidth}
/>
<!-- Screen inner (dark) -->
<rect
x={mbScreenX + mbBezel}
y={mbY + mbBezel}
width={mbScreenW - mbBezel * 2}
height={mbScreenH - mbBezel * 2}
rx="2"
fill="#0a0a12"
/>
<!-- Memory fill on screen -->
{#if ramPercent > 0}
<rect
x={mbScreenX + mbBezel}
y={mbY + mbBezel + (mbMemTotalH - mbMemH)}
width={mbScreenW - mbBezel * 2}
height={mbMemH}
fill="rgba(255,215,0,0.85)"
clip-path="url(#{screenClipId})"
/>
{/if}
<!-- Apple logo -->
<path
d={APPLE_LOGO_PATH}
transform="translate({mbLogoX}, {mbLogoY}) scale({mbLogoScale})"
fill="#FFFFFF"
opacity="0.9"
/>
<!-- Keyboard base (trapezoidal) -->
<path
d="M {mbBaseTopX} {mbBaseY} L {mbBaseTopX +
mbBaseTopW} {mbBaseY} L {mbBaseBottomX + mbBaseBottomW} {mbBaseY +
mbBaseH} L {mbBaseBottomX} {mbBaseY + mbBaseH} Z"
fill="#2c2c2c"
stroke={wireColor}
stroke-width="1"
/>
<!-- Keyboard area -->
<rect
x={mbKbX}
y={mbKbY}
width={mbKbW}
height={mbKbH}
fill="rgba(0,0,0,0.2)"
rx="2"
/>
<!-- Trackpad -->
<rect
x={mbTpX}
y={mbTpY}
width={mbTpW}
height={mbTpH}
fill="rgba(255,255,255,0.08)"
rx="2"
/>
{/if}
@@ -0,0 +1,103 @@
<script lang="ts">
type FamilyLogoProps = {
family: string;
class?: string;
};
let { family, class: className = "" }: FamilyLogoProps = $props();
</script>
{#if family === "favorites"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z"
/>
</svg>
{:else if family === "recents"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M13 3a9 9 0 0 0-9 9H1l3.89 3.89.07.14L9 12H6c0-3.87 3.13-7 7-7s7 3.13 7 7-3.13 7-7 7c-1.93 0-3.68-.79-4.94-2.06l-1.42 1.42A8.954 8.954 0 0 0 13 21a9 9 0 0 0 0-18zm-1 5v5l4.28 2.54.72-1.21-3.5-2.08V8H12z"
/>
</svg>
{:else if family === "llama" || family === "meta"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M6.915 4.03c-1.968 0-3.683 1.28-4.871 3.113C.704 9.208 0 11.883 0 14.449c0 .706.07 1.369.21 1.973a6.624 6.624 0 0 0 .265.86 5.297 5.297 0 0 0 .371.761c.696 1.159 1.818 1.927 3.593 1.927 1.497 0 2.633-.671 3.965-2.444.76-1.012 1.144-1.626 2.663-4.32l.756-1.339.186-.325c.061.1.121.196.183.3l2.152 3.595c.724 1.21 1.665 2.556 2.47 3.314 1.046.987 1.992 1.22 3.06 1.22 1.075 0 1.876-.355 2.455-.843a3.743 3.743 0 0 0 .81-.973c.542-.939.861-2.127.861-3.745 0-2.72-.681-5.357-2.084-7.45-1.282-1.912-2.957-2.93-4.716-2.93-1.047 0-2.088.467-3.053 1.308-.652.57-1.257 1.29-1.82 2.05-.69-.875-1.335-1.547-1.958-2.056-1.182-.966-2.315-1.303-3.454-1.303zm10.16 2.053c1.147 0 2.188.758 2.992 1.999 1.132 1.748 1.647 4.195 1.647 6.4 0 1.548-.368 2.9-1.839 2.9-.58 0-1.027-.23-1.664-1.004-.496-.601-1.343-1.878-2.832-4.358l-.617-1.028a44.908 44.908 0 0 0-1.255-1.98c.07-.109.141-.224.211-.327 1.12-1.667 2.118-2.602 3.358-2.602zm-10.201.553c1.265 0 2.058.791 2.675 1.446.307.327.737.871 1.234 1.579l-1.02 1.566c-.757 1.163-1.882 3.017-2.837 4.338-1.191 1.649-1.81 1.817-2.486 1.817-.524 0-1.038-.237-1.383-.794-.263-.426-.464-1.13-.464-2.046 0-2.221.63-4.535 1.66-6.088.454-.687.964-1.226 1.533-1.533a2.264 2.264 0 0 1 1.088-.285z"
/>
</svg>
{:else if family === "qwen"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M12.604 1.34c.393.69.784 1.382 1.174 2.075a.18.18 0 00.157.091h5.552c.174 0 .322.11.446.327l1.454 2.57c.19.337.24.478.024.837-.26.43-.513.864-.76 1.3l-.367.658c-.106.196-.223.28-.04.512l2.652 4.637c.172.301.111.494-.043.77-.437.785-.882 1.564-1.335 2.34-.159.272-.352.375-.68.37-.777-.016-1.552-.01-2.327.016a.099.099 0 00-.081.05 575.097 575.097 0 01-2.705 4.74c-.169.293-.38.363-.725.364-.997.003-2.002.004-3.017.002a.537.537 0 01-.465-.271l-1.335-2.323a.09.09 0 00-.083-.049H4.982c-.285.03-.553-.001-.805-.092l-1.603-2.77a.543.543 0 01-.002-.54l1.207-2.12a.198.198 0 000-.197 550.951 550.951 0 01-1.875-3.272l-.79-1.395c-.16-.31-.173-.496.095-.965.465-.813.927-1.625 1.387-2.436.132-.234.304-.334.584-.335a338.3 338.3 0 012.589-.001.124.124 0 00.107-.063l2.806-4.895a.488.488 0 01.422-.246c.524-.001 1.053 0 1.583-.006L11.704 1c.341-.003.724.032.9.34zm-3.432.403a.06.06 0 00-.052.03L6.254 6.788a.157.157 0 01-.135.078H3.253c-.056 0-.07.025-.041.074l5.81 10.156c.025.042.013.062-.034.063l-2.795.015a.218.218 0 00-.2.116l-1.32 2.31c-.044.078-.021.118.068.118l5.716.008c.046 0 .08.02.104.061l1.403 2.454c.046.081.092.082.139 0l5.006-8.76.783-1.382a.055.055 0 01.096 0l1.424 2.53a.122.122 0 00.107.062l2.763-.02a.04.04 0 00.035-.02.041.041 0 000-.04l-2.9-5.086a.108.108 0 010-.113l.293-.507 1.12-1.977c.024-.041.012-.062-.035-.062H9.2c-.059 0-.073-.026-.043-.077l1.434-2.505a.107.107 0 000-.114L9.225 1.774a.06.06 0 00-.053-.031zm6.29 8.02c.046 0 .058.02.034.06l-.832 1.465-2.613 4.585a.056.056 0 01-.05.029.058.058 0 01-.05-.029L8.498 9.841c-.02-.034-.01-.052.028-.054l.216-.012 6.722-.012z"
/>
</svg>
{:else if family === "deepseek"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M23.748 4.482c-.254-.124-.364.113-.512.234-.051.039-.094.09-.137.136-.372.397-.806.657-1.373.626-.829-.046-1.537.214-2.163.848-.133-.782-.575-1.248-1.247-1.548-.352-.156-.708-.311-.955-.65-.172-.241-.219-.51-.305-.774-.055-.16-.11-.323-.293-.35-.2-.031-.278.136-.356.276-.313.572-.434 1.202-.422 1.84.027 1.436.633 2.58 1.838 3.393.137.093.172.187.129.323-.082.28-.18.552-.266.833-.055.179-.137.217-.329.14a5.526 5.526 0 01-1.736-1.18c-.857-.828-1.631-1.742-2.597-2.458a11.365 11.365 0 00-.689-.471c-.985-.957.13-1.743.388-1.836.27-.098.093-.432-.779-.428-.872.004-1.67.295-2.687.684a3.055 3.055 0 01-.465.137 9.597 9.597 0 00-2.883-.102c-1.885.21-3.39 1.102-4.497 2.623C.082 8.606-.231 10.684.152 12.85c.403 2.284 1.569 4.175 3.36 5.653 1.858 1.533 3.997 2.284 6.438 2.14 1.482-.085 3.133-.284 4.994-1.86.47.234.962.327 1.78.397.63.059 1.236-.03 1.705-.128.735-.156.684-.837.419-.961-2.155-1.004-1.682-.595-2.113-.926 1.096-1.296 2.746-2.642 3.392-7.003.05-.347.007-.565 0-.845-.004-.17.035-.237.23-.256a4.173 4.173 0 001.545-.475c1.396-.763 1.96-2.015 2.093-3.517.02-.23-.004-.467-.247-.588zM11.581 18c-2.089-1.642-3.102-2.183-3.52-2.16-.392.024-.321.471-.235.763.09.288.207.486.371.739.114.167.192.416-.113.603-.673.416-1.842-.14-1.897-.167-1.361-.802-2.5-1.86-3.301-3.307-.774-1.393-1.224-2.887-1.298-4.482-.02-.386.093-.522.477-.592a4.696 4.696 0 011.529-.039c2.132.312 3.946 1.265 5.468 2.774.868.86 1.525 1.887 2.202 2.891.72 1.066 1.494 2.082 2.48 2.914.348.292.625.514.891.677-.802.09-2.14.11-3.054-.614zm1-6.44a.306.306 0 01.415-.287.302.302 0 01.2.288.306.306 0 01-.31.307.303.303 0 01-.304-.308zm3.11 1.596c-.2.081-.399.151-.59.16a1.245 1.245 0 01-.798-.254c-.274-.23-.47-.358-.552-.758a1.73 1.73 0 01.016-.588c.07-.327-.008-.537-.239-.727-.187-.156-.426-.199-.688-.199a.559.559 0 01-.254-.078c-.11-.054-.2-.19-.114-.358.028-.054.16-.186.192-.21.356-.202.767-.136 1.146.016.352.144.618.408 1.001.782.391.451.462.576.685.914.176.265.336.537.445.848.067.195-.019.354-.25.452z"
/>
</svg>
{:else if family === "openai" || family === "gpt-oss"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M22.2819 9.8211a5.9847 5.9847 0 0 0-.5157-4.9108 6.0462 6.0462 0 0 0-6.5098-2.9A6.0651 6.0651 0 0 0 4.9807 4.1818a5.9847 5.9847 0 0 0-3.9977 2.9 6.0462 6.0462 0 0 0 .7427 7.0966 5.98 5.98 0 0 0 .511 4.9107 6.051 6.051 0 0 0 6.5146 2.9001A5.9847 5.9847 0 0 0 13.2599 24a6.0557 6.0557 0 0 0 5.7718-4.2058 5.9894 5.9894 0 0 0 3.9977-2.9001 6.0557 6.0557 0 0 0-.7475-7.0729zm-9.022 12.6081a4.4755 4.4755 0 0 1-2.8764-1.0408l.1419-.0804 4.7783-2.7582a.7948.7948 0 0 0 .3927-.6813v-6.7369l2.02 1.1686a.071.071 0 0 1 .038.052v5.5826a4.504 4.504 0 0 1-4.4945 4.4944zm-9.6607-4.1254a4.4708 4.4708 0 0 1-.5346-3.0137l.142.0852 4.783 2.7582a.7712.7712 0 0 0 .7806 0l5.8428-3.3685v2.3324a.0804.0804 0 0 1-.0332.0615L9.74 19.9502a4.4992 4.4992 0 0 1-6.1408-1.6464zM2.3408 7.8956a4.485 4.485 0 0 1 2.3655-1.9728V11.6a.7664.7664 0 0 0 .3879.6765l5.8144 3.3543-2.0201 1.1685a.0757.0757 0 0 1-.071 0l-4.8303-2.7865A4.504 4.504 0 0 1 2.3408 7.872zm16.5963 3.8558L13.1038 8.364 15.1192 7.2a.0757.0757 0 0 1 .071 0l4.8303 2.7913a4.4944 4.4944 0 0 1-.6765 8.1042v-5.6772a.79.79 0 0 0-.407-.667zm2.0107-3.0231l-.142-.0852-4.7735-2.7818a.7759.7759 0 0 0-.7854 0L9.409 9.2297V6.8974a.0662.0662 0 0 1 .0284-.0615l4.8303-2.7866a4.4992 4.4992 0 0 1 6.6802 4.66zM8.3065 12.863l-2.02-1.1638a.0804.0804 0 0 1-.038-.0567V6.0742a4.4992 4.4992 0 0 1 7.3757-3.4537l-.142.0805L8.704 5.459a.7948.7948 0 0 0-.3927.6813zm1.0976-2.3654l2.602-1.4998 2.6069 1.4998v2.9994l-2.5974 1.4997-2.6067-1.4997Z"
/>
</svg>
{:else if family === "glm"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M11.991 23.503a.24.24 0 00-.244.248.24.24 0 00.244.249.24.24 0 00.245-.249.24.24 0 00-.22-.247l-.025-.001zM9.671 5.365a1.697 1.697 0 011.099 2.132l-.071.172-.016.04-.018.054c-.07.16-.104.32-.104.498-.035.71.47 1.279 1.186 1.314h.366c1.309.053 2.338 1.173 2.286 2.523-.052 1.332-1.152 2.38-2.478 2.327h-.174c-.715.018-1.274.64-1.239 1.368 0 .124.018.23.053.337.209.373.54.658.96.8.75.23 1.517-.125 1.9-.782l.018-.035c.402-.64 1.17-.96 1.92-.711.854.284 1.378 1.226 1.099 2.167a1.661 1.661 0 01-2.077 1.102 1.711 1.711 0 01-.907-.711l-.017-.035c-.2-.323-.463-.58-.851-.711l-.056-.018a1.646 1.646 0 00-1.954.746 1.66 1.66 0 01-1.065.764 1.677 1.677 0 01-1.989-1.279c-.209-.906.332-1.83 1.257-2.043a1.51 1.51 0 01.296-.035h.018c.68-.071 1.151-.622 1.116-1.333a1.307 1.307 0 00-.227-.693 2.515 2.515 0 01-.366-1.403 2.39 2.39 0 01.366-1.208c.14-.195.21-.444.227-.693.018-.71-.506-1.261-1.186-1.332l-.07-.018a1.43 1.43 0 01-.299-.07l-.05-.019a1.7 1.7 0 01-1.047-2.114 1.68 1.68 0 012.094-1.101zm-5.575 10.11c.26-.264.639-.367.994-.27.355.096.633.379.728.74.095.362-.007.748-.267 1.013-.402.41-1.053.41-1.455 0a1.062 1.062 0 010-1.482zm14.845-.294c.359-.09.738.024.992.297.254.274.344.665.237 1.025-.107.36-.396.634-.756.718-.551.128-1.1-.22-1.23-.781a1.05 1.05 0 01.757-1.26zm-.064-4.39c.314.32.49.753.49 1.206 0 .452-.176.886-.49 1.206-.315.32-.74.5-1.185.5-.444 0-.87-.18-1.184-.5a1.727 1.727 0 010-2.412 1.654 1.654 0 012.369 0zm-11.243.163c.364.484.447 1.128.218 1.691a1.665 1.665 0 01-2.188.923c-.855-.36-1.26-1.358-.907-2.228a1.68 1.68 0 011.33-1.038c.593-.08 1.183.169 1.547.652zm11.545-4.221c.368 0 .708.2.892.524.184.324.184.724 0 1.048a1.026 1.026 0 01-.892.524c-.568 0-1.03-.47-1.03-1.048 0-.579.462-1.048 1.03-1.048zm-14.358 0c.368 0 .707.2.891.524.184.324.184.724 0 1.048a1.026 1.026 0 01-.891.524c-.569 0-1.03-.47-1.03-1.048 0-.579.461-1.048 1.03-1.048zm10.031-1.475c.925 0 1.675.764 1.675 1.706s-.75 1.705-1.675 1.705-1.674-.763-1.674-1.705c0-.942.75-1.706 1.674-1.706zm-2.626-.684c.362-.082.653-.356.761-.718a1.062 1.062 0 00-.238-1.028 1.017 1.017 0 00-.996-.294c-.547.14-.881.7-.752 1.257.13.558.675.907 1.225.783zm0 16.876c.359-.087.644-.36.75-.72a1.062 1.062 0 00-.237-1.019 1.018 1.018 0 00-.985-.301 1.037 1.037 0 00-.762.717c-.108.361-.017.754.239 1.028.245.263.606.377.953.305l.043-.01zM17.19 3.5a.631.631 0 00.628-.64c0-.355-.279-.64-.628-.64a.631.631 0 00-.628.64c0 .355.28.64.628.64zm-10.38 0a.631.631 0 00.628-.64c0-.355-.28-.64-.628-.64a.631.631 0 00-.628.64c0 .355.279.64.628.64zm-5.182 7.852a.631.631 0 00-.628.64c0 .354.28.639.628.639a.63.63 0 00.627-.606l.001-.034a.62.62 0 00-.628-.64zm5.182 9.13a.631.631 0 00-.628.64c0 .355.279.64.628.64a.631.631 0 00.628-.64c0-.355-.28-.64-.628-.64zm10.38.018a.631.631 0 00-.628.64c0 .355.28.64.628.64a.631.631 0 00.628-.64c0-.355-.279-.64-.628-.64zm5.182-9.148a.631.631 0 00-.628.64c0 .354.279.639.628.639a.631.631 0 00.628-.64c0-.355-.28-.64-.628-.64zm-.384-4.992a.24.24 0 00.244-.249.24.24 0 00-.244-.249.24.24 0 00-.244.249c0 .142.122.249.244.249zM11.991.497a.24.24 0 00.245-.248A.24.24 0 0011.99 0a.24.24 0 00-.244.249c0 .133.108.236.223.247l.021.001zM2.011 6.36a.24.24 0 00.245-.249.24.24 0 00-.244-.249.24.24 0 00-.244.249.24.24 0 00.244.249zm0 11.263a.24.24 0 00-.243.248.24.24 0 00.244.249.24.24 0 00.244-.249.252.252 0 00-.244-.248zm19.995-.018a.24.24 0 00-.245.248.24.24 0 00.245.25.24.24 0 00.244-.25.252.252 0 00-.244-.248z"
/>
</svg>
{:else if family === "minimax"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M16.278 2c1.156 0 2.093.927 2.093 2.07v12.501a.74.74 0 00.744.709.74.74 0 00.743-.709V9.099a2.06 2.06 0 012.071-2.049A2.06 2.06 0 0124 9.1v6.561a.649.649 0 01-.652.645.649.649 0 01-.653-.645V9.1a.762.762 0 00-.766-.758.762.762 0 00-.766.758v7.472a2.037 2.037 0 01-2.048 2.026 2.037 2.037 0 01-2.048-2.026v-12.5a.785.785 0 00-.788-.753.785.785 0 00-.789.752l-.001 15.904A2.037 2.037 0 0113.441 22a2.037 2.037 0 01-2.048-2.026V18.04c0-.356.292-.645.652-.645.36 0 .652.289.652.645v1.934c0 .263.142.506.372.638.23.131.514.131.744 0a.734.734 0 00.372-.638V4.07c0-1.143.937-2.07 2.093-2.07zm-5.674 0c1.156 0 2.093.927 2.093 2.07v11.523a.648.648 0 01-.652.645.648.648 0 01-.652-.645V4.07a.785.785 0 00-.789-.78.785.785 0 00-.789.78v14.013a2.06 2.06 0 01-2.07 2.048 2.06 2.06 0 01-2.071-2.048V9.1a.762.762 0 00-.766-.758.762.762 0 00-.766.758v3.8a2.06 2.06 0 01-2.071 2.049A2.06 2.06 0 010 12.9v-1.378c0-.357.292-.646.652-.646.36 0 .653.29.653.646V12.9c0 .418.343.757.766.757s.766-.339.766-.757V9.099a2.06 2.06 0 012.07-2.048 2.06 2.06 0 012.071 2.048v8.984c0 .419.343.758.767.758.423 0 .766-.339.766-.758V4.07c0-1.143.937-2.07 2.093-2.07z"
/>
</svg>
{:else if family === "kimi"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M19.738 5.776c.163-.209.306-.4.457-.585.07-.087.064-.153-.004-.244-.655-.861-.717-1.817-.34-2.787.283-.73.909-1.072 1.674-1.145.477-.045.945.004 1.379.236.57.305.902.77 1.01 1.412.086.512.07 1.012-.075 1.508-.257.878-.888 1.333-1.753 1.448-.718.096-1.446.108-2.17.157-.056.004-.113 0-.178 0z"
/>
<path
d="M17.962 1.844h-4.326l-3.425 7.81H5.369V1.878H1.5V22h3.87v-8.477h6.824a3.025 3.025 0 002.743-1.75V22h3.87v-8.477a3.87 3.87 0 00-3.588-3.86v-.01h-2.125a3.94 3.94 0 002.323-2.12l2.545-5.689z"
/>
</svg>
{:else if family === "flux"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M12 2L2 19h7.5l2.5-4.5L14.5 19H22L12 2zm0 4.5L16.5 17h-3l-1.5-2.7L10.5 17h-3L12 6.5z"
/>
</svg>
{:else if family === "qwen-image"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M12.604 1.34c.393.69.784 1.382 1.174 2.075a.18.18 0 00.157.091h5.552c.174 0 .322.11.446.327l1.454 2.57c.19.337.24.478.024.837-.26.43-.513.864-.76 1.3l-.367.658c-.106.196-.223.28-.04.512l2.652 4.637c.172.301.111.494-.043.77-.437.785-.882 1.564-1.335 2.34-.159.272-.352.375-.68.37-.777-.016-1.552-.01-2.327.016a.099.099 0 00-.081.05 575.097 575.097 0 01-2.705 4.74c-.169.293-.38.363-.725.364-.997.003-2.002.004-3.017.002a.537.537 0 01-.465-.271l-1.335-2.323a.09.09 0 00-.083-.049H4.982c-.285.03-.553-.001-.805-.092l-1.603-2.77a.543.543 0 01-.002-.54l1.207-2.12a.198.198 0 000-.197 550.951 550.951 0 01-1.875-3.272l-.79-1.395c-.16-.31-.173-.496.095-.965.465-.813.927-1.625 1.387-2.436.132-.234.304-.334.584-.335a338.3 338.3 0 012.589-.001.124.124 0 00.107-.063l2.806-4.895a.488.488 0 01.422-.246c.524-.001 1.053 0 1.583-.006L11.704 1c.341-.003.724.032.9.34zm-3.432.403a.06.06 0 00-.052.03L6.254 6.788a.157.157 0 01-.135.078H3.253c-.056 0-.07.025-.041.074l5.81 10.156c.025.042.013.062-.034.063l-2.795.015a.218.218 0 00-.2.116l-1.32 2.31c-.044.078-.021.118.068.118l5.716.008c.046 0 .08.02.104.061l1.403 2.454c.046.081.092.082.139 0l5.006-8.76.783-1.382a.055.055 0 01.096 0l1.424 2.53a.122.122 0 00.107.062l2.763-.02a.04.04 0 00.035-.02.041.041 0 000-.04l-2.9-5.086a.108.108 0 010-.113l.293-.507 1.12-1.977c.024-.041.012-.062-.035-.062H9.2c-.059 0-.073-.026-.043-.077l1.434-2.505a.107.107 0 000-.114L9.225 1.774a.06.06 0 00-.053-.031zm6.29 8.02c.046 0 .058.02.034.06l-.832 1.465-2.613 4.585a.056.056 0 01-.05.029.058.058 0 01-.05-.029L8.498 9.841c-.02-.034-.01-.052.028-.054l.216-.012 6.722-.012z"
/>
</svg>
{:else if family === "huggingface"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M12.025 1.13c-5.77 0-10.449 4.647-10.449 10.378 0 1.112.178 2.181.503 3.185.064-.222.203-.444.416-.577a.96.96 0 0 1 .524-.15c.293 0 .584.124.84.284.278.173.48.408.71.694.226.282.458.611.684.951v-.014c.017-.324.106-.622.264-.874s.403-.487.762-.543c.3-.047.596.06.787.203s.31.313.4.467c.15.257.212.468.233.542.01.026.653 1.552 1.657 2.54.616.605 1.01 1.223 1.082 1.912.055.537-.096 1.059-.38 1.572.637.121 1.294.187 1.967.187.657 0 1.298-.063 1.921-.178-.287-.517-.44-1.041-.384-1.581.07-.69.465-1.307 1.081-1.913 1.004-.987 1.647-2.513 1.657-2.539.021-.074.083-.285.233-.542.09-.154.208-.323.4-.467a1.08 1.08 0 0 1 .787-.203c.359.056.604.29.762.543s.247.55.265.874v.015c.225-.34.457-.67.683-.952.23-.286.432-.52.71-.694.257-.16.547-.284.84-.285a.97.97 0 0 1 .524.151c.228.143.373.388.43.625l.006.04a10.3 10.3 0 0 0 .534-3.273c0-5.731-4.678-10.378-10.449-10.378M8.327 6.583a1.5 1.5 0 0 1 .713.174 1.487 1.487 0 0 1 .617 2.013c-.183.343-.762-.214-1.102-.094-.38.134-.532.914-.917.71a1.487 1.487 0 0 1 .69-2.803m7.486 0a1.487 1.487 0 0 1 .689 2.803c-.385.204-.536-.576-.916-.71-.34-.12-.92.437-1.103.094a1.487 1.487 0 0 1 .617-2.013 1.5 1.5 0 0 1 .713-.174m-10.68 1.55a.96.96 0 1 1 0 1.921.96.96 0 0 1 0-1.92m13.838 0a.96.96 0 1 1 0 1.92.96.96 0 0 1 0-1.92M8.489 11.458c.588.01 1.965 1.157 3.572 1.164 1.607-.007 2.984-1.155 3.572-1.164.196-.003.305.12.305.454 0 .886-.424 2.328-1.563 3.202-.22-.756-1.396-1.366-1.63-1.32q-.011.001-.02.006l-.044.026-.01.008-.03.024q-.018.017-.035.036l-.032.04a1 1 0 0 0-.058.09l-.014.025q-.049.088-.11.19a1 1 0 0 1-.083.116 1.2 1.2 0 0 1-.173.18q-.035.029-.075.058a1.3 1.3 0 0 1-.251-.243 1 1 0 0 1-.076-.107c-.124-.193-.177-.363-.337-.444-.034-.016-.104-.008-.2.022q-.094.03-.216.087-.06.028-.125.063l-.13.074q-.067.04-.136.086a3 3 0 0 0-.135.096 3 3 0 0 0-.26.219 2 2 0 0 0-.12.121 2 2 0 0 0-.106.128l-.002.002a2 2 0 0 0-.09.132l-.001.001a1.2 1.2 0 0 0-.105.212q-.013.036-.024.073c-1.139-.875-1.563-2.317-1.563-3.203 0-.334.109-.457.305-.454m.836 10.354c.824-1.19.766-2.082-.365-3.194-1.13-1.112-1.789-2.738-1.789-2.738s-.246-.945-.806-.858-.97 1.499.202 2.362c1.173.864-.233 1.45-.685.64-.45-.812-1.683-2.896-2.322-3.295s-1.089-.175-.938.647 2.822 2.813 2.562 3.244-1.176-.506-1.176-.506-2.866-2.567-3.49-1.898.473 1.23 2.037 2.16c1.564.932 1.686 1.178 1.464 1.53s-3.675-2.511-4-1.297c-.323 1.214 3.524 1.567 3.287 2.405-.238.839-2.71-1.587-3.216-.642-.506.946 3.49 2.056 3.522 2.064 1.29.33 4.568 1.028 5.713-.624m5.349 0c-.824-1.19-.766-2.082.365-3.194 1.13-1.112 1.789-2.738 1.789-2.738s.246-.945.806-.858.97 1.499-.202 2.362c-1.173.864.233 1.45.685.64.451-.812 1.683-2.896 2.322-3.295s1.089-.175.938.647-2.822 2.813-2.562 3.244 1.176-.506 1.176-.506 2.866-2.567 3.49-1.898-.473 1.23-2.037 2.16c-1.564.932-1.686 1.178-1.464 1.53s3.675-2.511 4-1.297c.323 1.214-3.524 1.567-3.287 2.405.238.839 2.71-1.587 3.216-.642.506.946-3.49 2.056-3.522 2.064-1.29.33-4.568 1.028-5.713-.624"
/>
</svg>
{:else if family === "step"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M22.012 0h1.032v.927H24v.968h-.956V3.78h-1.032V1.896h-1.878v-.97h1.878V0zM2.6 12.371V1.87h.969v10.502h-.97zm10.423.66h10.95v.918h-6.208v9.579h-4.742V13.03zM5.629 3.333v12.356H0v4.51h10.386V8L20.859 8l-.003-4.668-15.227.001z"
/>
</svg>
{:else if family === "nemotron"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M8.948 8.798v-1.43a6.7 6.7 0 0 1 .424-.018c3.922-.124 6.493 3.374 6.493 3.374s-2.774 3.851-5.75 3.851c-.398 0-.787-.062-1.158-.185v-4.346c1.528.185 1.837.857 2.747 2.385l2.04-1.714s-1.492-1.952-4-1.952a6.016 6.016 0 0 0-.796.035m0-4.735v2.138l.424-.027c5.45-.185 9.01 4.47 9.01 4.47s-4.08 4.964-8.33 4.964c-.37 0-.733-.035-1.095-.097v1.325c.3.035.61.062.91.062 3.957 0 6.82-2.023 9.593-4.408.459.371 2.34 1.263 2.73 1.652-2.633 2.208-8.772 3.984-12.253 3.984-.335 0-.653-.018-.971-.053v1.864H24V4.063zm0 10.326v1.131c-3.657-.654-4.673-4.46-4.673-4.46s1.758-1.944 4.673-2.262v1.237H8.94c-1.528-.186-2.73 1.245-2.73 1.245s.68 2.412 2.739 3.11M2.456 10.9s2.164-3.197 6.5-3.533V6.201C4.153 6.59 0 10.653 0 10.653s2.35 6.802 8.948 7.42v-1.237c-4.84-.6-6.492-5.936-6.492-5.936z"
/>
</svg>
{:else}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm-2 15l-5-5 1.41-1.41L10 14.17l7.59-7.59L19 8l-9 9z"
/>
</svg>
{/if}
@@ -0,0 +1,166 @@
<script lang="ts">
import FamilyLogos from "./FamilyLogos.svelte";
type FamilySidebarProps = {
families: string[];
selectedFamily: string | null;
hasFavorites: boolean;
hasRecents: boolean;
onSelect: (family: string | null) => void;
};
let {
families,
selectedFamily,
hasFavorites,
hasRecents,
onSelect,
}: FamilySidebarProps = $props();
// Family display names
const familyNames: Record<string, string> = {
favorites: "Favorites",
recents: "Recent",
huggingface: "Hub",
llama: "Meta",
qwen: "Qwen",
deepseek: "DeepSeek",
"gpt-oss": "OpenAI",
glm: "GLM",
minimax: "MiniMax",
kimi: "Kimi",
flux: "FLUX",
"qwen-image": "Qwen Img",
nemotron: "NVIDIA",
};
function getFamilyName(family: string): string {
return (
familyNames[family] || family.charAt(0).toUpperCase() + family.slice(1)
);
}
</script>
<div
class="flex flex-col gap-1 py-2 px-1 border-r border-exo-yellow/10 bg-exo-medium-gray/30 min-w-[80px] sm:min-w-[72px] overflow-y-auto scrollbar-hide"
>
<!-- All models (no filter) -->
<button
type="button"
onclick={() => onSelect(null)}
class="group flex items-center justify-center px-3 py-2.5 rounded transition-all duration-200 cursor-pointer min-h-[44px] sm:min-h-0 {selectedFamily ===
null
? 'bg-exo-yellow/20 border-l-2 border-exo-yellow'
: 'hover:bg-white/5 border-l-2 border-transparent'}"
title="All models"
>
<span
class="text-[12px] font-mono font-medium {selectedFamily === null
? 'text-exo-yellow'
: 'text-white/40 group-hover:text-white/60'}">All</span
>
</button>
<!-- Favorites (only show if has favorites) -->
{#if hasFavorites}
<button
type="button"
onclick={() => onSelect("favorites")}
class="group flex flex-col items-center justify-center p-2 rounded transition-all duration-200 cursor-pointer {selectedFamily ===
'favorites'
? 'bg-exo-yellow/20 border-l-2 border-exo-yellow'
: 'hover:bg-white/5 border-l-2 border-transparent'}"
title="Show favorited models"
>
<FamilyLogos
family="favorites"
class={selectedFamily === "favorites"
? "text-amber-400"
: "text-white/50 group-hover:text-amber-400/70"}
/>
<span
class="text-[11px] font-mono mt-0.5 {selectedFamily === 'favorites'
? 'text-amber-400'
: 'text-white/40 group-hover:text-white/60'}">Faves</span
>
</button>
{/if}
<!-- Recent (only show if has recent models) -->
{#if hasRecents}
<button
type="button"
onclick={() => onSelect("recents")}
class="group flex flex-col items-center justify-center p-2 rounded transition-all duration-200 cursor-pointer {selectedFamily ===
'recents'
? 'bg-exo-yellow/20 border-l-2 border-exo-yellow'
: 'hover:bg-white/5 border-l-2 border-transparent'}"
title="Recently launched models"
>
<FamilyLogos
family="recents"
class={selectedFamily === "recents"
? "text-exo-yellow"
: "text-white/50 group-hover:text-white/70"}
/>
<span
class="text-[11px] font-mono mt-0.5 {selectedFamily === 'recents'
? 'text-exo-yellow'
: 'text-white/40 group-hover:text-white/60'}">Recent</span
>
</button>
{/if}
<!-- HuggingFace Hub -->
<button
type="button"
onclick={() => onSelect("huggingface")}
class="group flex flex-col items-center justify-center p-2 rounded transition-all duration-200 cursor-pointer {selectedFamily ===
'huggingface'
? 'bg-orange-500/20 border-l-2 border-orange-400'
: 'hover:bg-white/5 border-l-2 border-transparent'}"
title="Browse and add models from Hugging Face"
>
<FamilyLogos
family="huggingface"
class={selectedFamily === "huggingface"
? "text-orange-400"
: "text-white/50 group-hover:text-orange-400/70"}
/>
<span
class="text-[11px] font-mono mt-0.5 {selectedFamily === 'huggingface'
? 'text-orange-400'
: 'text-white/40 group-hover:text-white/60'}">Hub</span
>
</button>
<div class="h-px bg-exo-yellow/10 my-1"></div>
<!-- Model families -->
{#each families as family}
<button
type="button"
onclick={() => onSelect(family)}
class="group flex flex-col items-center justify-center p-2 rounded transition-all duration-200 cursor-pointer {selectedFamily ===
family
? 'bg-exo-yellow/20 border-l-2 border-exo-yellow'
: 'hover:bg-white/5 border-l-2 border-transparent'}"
title={getFamilyName(family)}
>
<FamilyLogos
{family}
class={selectedFamily === family
? "text-exo-yellow"
: "text-white/50 group-hover:text-white/70"}
/>
<span
class="text-[11px] font-mono mt-0.5 truncate max-w-full {selectedFamily ===
family
? 'text-exo-yellow'
: 'text-white/40 group-hover:text-white/60'}"
>
{getFamilyName(family)}
</span>
</button>
{/each}
</div>
+223 -51
View File
@@ -1,11 +1,38 @@
<script lang="ts">
import { browser } from "$app/environment";
export let showHome = true;
export let onHome: (() => void) | null = null;
export let showSidebarToggle = false;
export let sidebarVisible = true;
export let onToggleSidebar: (() => void) | null = null;
interface Props {
showHome?: boolean;
onHome?: (() => void) | null;
showSidebarToggle?: boolean;
sidebarVisible?: boolean;
onToggleSidebar?: (() => void) | null;
showMobileMenuToggle?: boolean;
mobileMenuOpen?: boolean;
onToggleMobileMenu?: (() => void) | null;
showMobileRightToggle?: boolean;
mobileRightOpen?: boolean;
onToggleMobileRight?: (() => void) | null;
downloadProgress?: {
count: number;
percentage: number;
} | null;
}
let {
showHome = true,
onHome = null,
showSidebarToggle = false,
sidebarVisible = true,
onToggleSidebar = null,
showMobileMenuToggle = false,
mobileMenuOpen = false,
onToggleMobileMenu = null,
showMobileRightToggle = false,
mobileRightOpen = false,
onToggleMobileRight = null,
downloadProgress = null,
}: Props = $props();
function handleHome(): void {
if (onHome) {
@@ -23,45 +50,96 @@
onToggleSidebar();
}
}
function handleToggleMobileMenu(): void {
if (onToggleMobileMenu) {
onToggleMobileMenu();
}
}
function handleToggleMobileRight(): void {
if (onToggleMobileRight) {
onToggleMobileRight();
}
}
</script>
<header
class="relative z-20 flex items-center justify-center px-6 pt-8 pb-4 bg-exo-dark-gray"
class="relative z-20 flex items-center justify-center px-4 md:px-6 pt-4 md:pt-8 pb-3 md:pb-4 bg-exo-dark-gray"
>
<!-- Left: Sidebar Toggle -->
{#if showSidebarToggle}
<div class="absolute left-6 top-1/2 -translate-y-1/2">
<button
onclick={handleToggleSidebar}
class="p-2 rounded border border-exo-medium-gray/40 hover:border-exo-yellow/50 transition-colors cursor-pointer"
title={sidebarVisible ? "Hide sidebar" : "Show sidebar"}
<!-- Left: Sidebar Toggle (desktop) or Mobile Sidebar Toggle (mobile) -->
<div
class="absolute left-4 md:left-6 top-1/2 -translate-y-1/2 flex items-center gap-2"
>
<!-- Mobile sidebar toggle -->
<button
onclick={handleToggleMobileMenu}
class="p-2 rounded border border-exo-light-gray/30 hover:border-exo-yellow/50 hover:bg-exo-medium-gray/30 transition-colors cursor-pointer md:hidden"
title={mobileMenuOpen ? "Hide sidebar" : "Show sidebar"}
aria-label={mobileMenuOpen
? "Hide conversation sidebar"
: "Show conversation sidebar"}
aria-pressed={mobileMenuOpen}
>
<svg
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
class="w-5 h-5 {mobileMenuOpen
? 'text-exo-yellow'
: 'text-exo-light-gray'}"
>
<svg
class="w-5 h-5 {sidebarVisible
? 'text-exo-yellow'
: 'text-exo-medium-gray'}"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
{#if sidebarVisible}
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 19l-7-7 7-7m8 14l-7-7 7-7"
/>
{:else}
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M13 5l7 7-7 7M5 5l7 7-7 7"
/>
{/if}
</svg>
</button>
</div>
{/if}
{#if mobileMenuOpen}
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 19l-7-7 7-7m8 14l-7-7 7-7"
></path>
{:else}
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M13 5l7 7-7 7M5 5l7 7-7 7"
></path>
{/if}
</svg>
</button>
<!-- Desktop sidebar toggle -->
<button
onclick={handleToggleSidebar}
class="p-2 rounded border border-exo-light-gray/30 hover:border-exo-yellow/50 hover:bg-exo-medium-gray/30 transition-colors cursor-pointer hidden md:block"
title={sidebarVisible ? "Hide sidebar" : "Show sidebar"}
aria-label={sidebarVisible
? "Hide conversation sidebar"
: "Show conversation sidebar"}
aria-pressed={sidebarVisible}
>
<svg
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
class="w-5 h-5 {sidebarVisible
? 'text-exo-yellow'
: 'text-exo-light-gray'}"
>
{#if sidebarVisible}
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 19l-7-7 7-7m8 14l-7-7 7-7"
></path>
{:else}
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M13 5l7 7-7 7M5 5l7 7-7 7"
></path>
{/if}
</svg>
</button>
</div>
<!-- Center: Logo (clickable to go home) -->
<button
@@ -75,18 +153,55 @@
<img
src="/exo-logo.png"
alt="EXO"
class="h-18 drop-shadow-[0_0_20px_rgba(255,215,0,0.5)]"
class="h-12 md:h-18 drop-shadow-[0_0_4px_rgba(255,215,0,0.3)]"
/>
</button>
<!-- Right: Home + Downloads -->
<div
class="absolute right-6 top-1/2 -translate-y-1/2 flex items-center gap-4"
<!-- Right: Home + Downloads + Mobile Right Toggle -->
<nav
class="absolute right-4 md:right-6 top-1/2 -translate-y-1/2 flex items-center gap-2 md:gap-4"
aria-label="Main navigation"
>
<!-- Mobile right sidebar toggle (instances/models) - only show when not in chat mode -->
{#if showMobileRightToggle}
<button
onclick={handleToggleMobileRight}
class="p-2 rounded border border-exo-light-gray/30 hover:border-exo-yellow/50 hover:bg-exo-medium-gray/30 transition-colors cursor-pointer md:hidden"
title={mobileRightOpen ? "Hide instances" : "Show instances"}
aria-label={mobileRightOpen
? "Hide instances panel"
: "Show instances panel"}
aria-pressed={mobileRightOpen}
>
<svg
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
class="w-5 h-5 {mobileRightOpen
? 'text-exo-yellow'
: 'text-exo-light-gray'}"
>
{#if mobileRightOpen}
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M13 5l7 7-7 7M5 5l7 7-7 7"
></path>
{:else}
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 19l-7-7 7-7m8 14l-7-7 7-7"
></path>
{/if}
</svg>
</button>
{/if}
{#if showHome}
<button
onclick={handleHome}
class="text-sm text-exo-light-gray hover:text-exo-yellow transition-colors tracking-wider uppercase flex items-center gap-2 cursor-pointer"
class="flex text-sm text-white/70 hover:text-exo-yellow transition-colors tracking-wider uppercase items-center gap-2 cursor-pointer"
title="Back to topology view"
>
<svg
@@ -102,13 +217,69 @@
d="M3 12l2-2m0 0l7-7 7 7M5 10v10a1 1 0 001 1h3m10-11l2 2m-2-2v10a1 1 0 01-1 1h-3m-6 0a1 1 0 001-1v-4a1 1 0 011-1h2a1 1 0 011 1v4a1 1 0 001 1m-6 0h6"
/>
</svg>
Home
<span class="hidden sm:inline">Home</span>
</button>
{/if}
<a
href="/#/downloads"
class="text-sm text-exo-light-gray hover:text-exo-yellow transition-colors tracking-wider uppercase flex items-center gap-2 cursor-pointer"
class="text-xs md:text-sm text-white/70 hover:text-exo-yellow transition-colors tracking-wider uppercase flex items-center gap-1.5 md:gap-2 cursor-pointer"
title="View downloads overview"
>
{#if downloadProgress}
<!-- Compact download progress indicator -->
<div class="relative w-4 h-4 flex-shrink-0">
<svg class="w-4 h-4 -rotate-90" viewBox="0 0 20 20">
<circle
cx="10"
cy="10"
r="8"
fill="none"
stroke="currentColor"
stroke-width="2"
opacity="0.2"
/>
<circle
cx="10"
cy="10"
r="8"
fill="none"
stroke="currentColor"
stroke-width="2"
stroke-dasharray={2 * Math.PI * 8}
stroke-dashoffset={2 *
Math.PI *
8 *
(1 - downloadProgress.percentage / 100)}
class="text-blue-400 transition-all duration-300"
/>
</svg>
<div
class="absolute inset-0 flex items-center justify-center text-[6px] font-mono text-blue-400"
>
{downloadProgress.count}
</div>
</div>
{:else}
<svg
class="w-4 h-4"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
>
<path d="M12 3v12" />
<path d="M7 12l5 5 5-5" />
<path d="M5 21h14" />
</svg>
{/if}
<span class="hidden sm:inline">Downloads</span>
</a>
<a
href="/#/integrations"
class="text-xs md:text-sm text-white/70 hover:text-exo-yellow transition-colors tracking-wider uppercase flex items-center gap-1.5 md:gap-2 cursor-pointer"
title="Integration configs for external tools"
>
<svg
class="w-4 h-4"
@@ -119,11 +290,12 @@
stroke-linecap="round"
stroke-linejoin="round"
>
<path d="M12 3v12" />
<path d="M7 12l5 5 5-5" />
<path d="M5 21h14" />
<path d="M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71" />
<path
d="M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"
/>
</svg>
Downloads
<span class="hidden sm:inline">Integrations</span>
</a>
</div>
</nav>
</header>
@@ -0,0 +1,156 @@
<script lang="ts">
interface HuggingFaceModel {
id: string;
author: string;
downloads: number;
likes: number;
last_modified: string;
tags: string[];
}
type HuggingFaceResultItemProps = {
model: HuggingFaceModel;
isAdded: boolean;
isAdding: boolean;
onAdd: () => void;
onSelect: () => void;
downloadedOnNodes?: string[];
};
let {
model,
isAdded,
isAdding,
onAdd,
onSelect,
downloadedOnNodes = [],
}: HuggingFaceResultItemProps = $props();
function formatNumber(num: number | undefined): string {
if (num == null) return "0";
if (num >= 1000000) {
return `${(num / 1000000).toFixed(1)}M`;
} else if (num >= 1000) {
return `${(num / 1000).toFixed(1)}k`;
}
return num.toString();
}
// Show short name for mlx-community models, full ID for everything else
const modelName = $derived(
model.author === "mlx-community"
? model.id.split("/").pop() || model.id
: model.id,
);
</script>
<div
class="flex items-center justify-between gap-3 px-3 py-2.5 hover:bg-white/5 transition-colors border-b border-white/5 last:border-b-0"
>
<div class="flex-1 min-w-0">
<div class="flex items-center gap-2">
<span class="text-sm font-mono text-white truncate" title={model.id}
>{modelName}</span
>
{#if downloadedOnNodes.length > 0}
<span
class="flex-shrink-0"
title={`Downloaded on ${downloadedOnNodes.join(", ")}`}
>
<svg
class="w-4 h-4"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
>
<path
class="text-white/40"
d="M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z"
/>
<path class="text-green-400" d="m9 13 2 2 4-4" />
</svg>
</span>
{/if}
{#if isAdded}
<span
class="px-1.5 py-0.5 text-[10px] font-mono bg-green-500/20 text-green-400 rounded"
>Added</span
>
{/if}
</div>
<div class="flex items-center gap-3 mt-0.5 text-xs text-white/40">
<span class="truncate">{model.author}</span>
<span
class="flex items-center gap-1 shrink-0"
title="Downloads in the last 30 days"
>
<svg
class="w-3 h-3"
fill="none"
stroke="currentColor"
viewBox="0 0 24 24"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M4 16v1a3 3 0 003 3h10a3 3 0 003-3v-1m-4-4l-4 4m0 0l-4-4m4 4V4"
/>
</svg>
{formatNumber(model.downloads)}
</span>
<span
class="flex items-center gap-1 shrink-0"
title="Community likes on Hugging Face"
>
<svg
class="w-3 h-3"
fill="none"
stroke="currentColor"
viewBox="0 0 24 24"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M4.318 6.318a4.5 4.5 0 000 6.364L12 20.364l7.682-7.682a4.5 4.5 0 00-6.364-6.364L12 7.636l-1.318-1.318a4.5 4.5 0 00-6.364 0z"
/>
</svg>
{formatNumber(model.likes)}
</span>
</div>
</div>
<div class="flex items-center gap-2 shrink-0">
{#if isAdded}
<button
type="button"
onclick={onSelect}
class="px-3 py-1.5 text-xs font-mono tracking-wider uppercase bg-exo-yellow/10 text-exo-yellow border border-exo-yellow/30 hover:bg-exo-yellow/20 transition-colors rounded cursor-pointer"
>
Select
</button>
{:else}
<button
type="button"
onclick={onAdd}
disabled={isAdding}
class="px-3 py-1.5 text-xs font-mono tracking-wider uppercase bg-orange-500/10 text-orange-400 border border-orange-400/30 hover:bg-orange-500/20 transition-colors rounded cursor-pointer disabled:opacity-50 disabled:cursor-not-allowed"
>
{#if isAdding}
<span class="flex items-center gap-1.5">
<span
class="w-3 h-3 border-2 border-orange-400 border-t-transparent rounded-full animate-spin"
></span>
Adding...
</span>
{:else}
+ Add
{/if}
</button>
{/if}
</div>
</div>
@@ -0,0 +1,96 @@
<script lang="ts">
import { fade, fly } from "svelte/transition";
import { cubicOut } from "svelte/easing";
interface Props {
src: string | null;
onclose: () => void;
}
let { src, onclose }: Props = $props();
function handleKeydown(e: KeyboardEvent) {
if (e.key === "Escape") {
onclose();
}
}
function extensionFromSrc(dataSrc: string): string {
const match = dataSrc.match(/^data:image\/(\w+)/);
if (match) return match[1] === "jpeg" ? "jpg" : match[1];
const urlMatch = dataSrc.match(/\.(\w+)(?:\?|$)/);
if (urlMatch) return urlMatch[1];
return "png";
}
function handleDownload(e: MouseEvent) {
e.stopPropagation();
if (!src) return;
const link = document.createElement("a");
link.href = src;
link.download = `image-${Date.now()}.${extensionFromSrc(src)}`;
link.click();
}
function handleClose(e: MouseEvent) {
e.stopPropagation();
onclose();
}
</script>
<svelte:window onkeydown={src ? handleKeydown : undefined} />
{#if src}
<div
class="fixed inset-0 z-50 bg-black/90 backdrop-blur-sm flex items-center justify-center"
transition:fade={{ duration: 200 }}
onclick={onclose}
role="presentation"
onintrostart={() => (document.body.style.overflow = "hidden")}
onoutroend={() => (document.body.style.overflow = "")}
>
<div class="absolute top-4 right-4 flex gap-2 z-10">
<button
type="button"
class="p-2 rounded-lg bg-exo-dark-gray/80 border border-exo-yellow/30 text-exo-yellow hover:bg-exo-dark-gray hover:border-exo-yellow/50 cursor-pointer transition-colors"
onclick={handleDownload}
title="Download image"
>
<svg
class="w-5 h-5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M4 16v1a3 3 0 003 3h10a3 3 0 003-3v-1m-4-4l-4 4m0 0l-4-4m4 4V4"
/>
</svg>
</button>
<button
type="button"
class="p-2 rounded-lg bg-exo-dark-gray/80 border border-exo-yellow/30 text-exo-yellow hover:bg-exo-dark-gray hover:border-exo-yellow/50 cursor-pointer transition-colors"
onclick={handleClose}
title="Close"
>
<svg class="w-5 h-5" viewBox="0 0 24 24" fill="currentColor">
<path
d="M19 6.41L17.59 5 12 10.59 6.41 5 5 6.41 10.59 12 5 17.59 6.41 19 12 13.41 17.59 19 19 17.59 13.41 12 19 6.41z"
/>
</svg>
</button>
</div>
<!-- svelte-ignore a11y_no_noninteractive_element_interactions, a11y_click_events_have_key_events -->
<img
{src}
alt=""
class="max-w-[90vw] max-h-[90vh] object-contain rounded-lg shadow-2xl"
transition:fly={{ y: 20, duration: 300, easing: cubicOut }}
onclick={(e) => e.stopPropagation()}
/>
</div>
{/if}
@@ -59,11 +59,14 @@
}
const sizeOptions: ImageGenerationParams["size"][] = [
"auto",
"512x512",
"768x768",
"1024x1024",
"1024x768",
"768x1024",
"1024x1536",
"1536x1024",
];
const qualityOptions: ImageGenerationParams["quality"][] = [
@@ -148,6 +151,15 @@
setImageGenerationParams({ guidance: null });
}
function handleNumSyncStepsChange(event: Event) {
const value = parseInt((event.target as HTMLInputElement).value, 10);
setImageGenerationParams({ numSyncSteps: value });
}
function clearNumSyncSteps() {
setImageGenerationParams({ numSyncSteps: null });
}
function handleReset() {
resetImageGenerationParams();
showAdvanced = false;
@@ -157,99 +169,98 @@
params.seed !== null ||
params.numInferenceSteps !== null ||
params.guidance !== null ||
(params.negativePrompt !== null && params.negativePrompt.trim() !== ""),
(params.negativePrompt !== null && params.negativePrompt.trim() !== "") ||
params.numSyncSteps !== null,
);
</script>
<div class="border-b border-exo-medium-gray/30 px-3 py-2">
<!-- Basic params row -->
<div class="flex items-center gap-3 flex-wrap">
<!-- Size (hidden in edit mode - output size comes from input image) -->
{#if !isEditMode}
<div class="flex items-center gap-1.5">
<span class="text-xs text-exo-light-gray uppercase tracking-wider"
>SIZE:</span
<!-- Size -->
<div class="flex items-center gap-1.5">
<span class="text-xs text-exo-light-gray uppercase tracking-wider"
>SIZE:</span
>
<div class="relative">
<button
bind:this={sizeButtonRef}
type="button"
onclick={() => (isSizeDropdownOpen = !isSizeDropdownOpen)}
class="bg-exo-medium-gray/50 border border-exo-yellow/30 rounded pl-2 pr-6 py-1 text-xs font-mono text-exo-yellow cursor-pointer transition-all duration-200 hover:border-exo-yellow/50 focus:outline-none focus:border-exo-yellow/70 {isSizeDropdownOpen
? 'border-exo-yellow/70'
: ''}"
>
<div class="relative">
<button
bind:this={sizeButtonRef}
type="button"
onclick={() => (isSizeDropdownOpen = !isSizeDropdownOpen)}
class="bg-exo-medium-gray/50 border border-exo-yellow/30 rounded pl-2 pr-6 py-1 text-xs font-mono text-exo-yellow cursor-pointer transition-all duration-200 hover:border-exo-yellow/50 focus:outline-none focus:border-exo-yellow/70 {isSizeDropdownOpen
? 'border-exo-yellow/70'
: ''}"
{params.size.toUpperCase()}
</button>
<div
class="absolute right-1.5 top-1/2 -translate-y-1/2 pointer-events-none transition-transform duration-200 {isSizeDropdownOpen
? 'rotate-180'
: ''}"
>
<svg
class="w-3 h-3 text-exo-yellow/60"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
{params.size}
</button>
<div
class="absolute right-1.5 top-1/2 -translate-y-1/2 pointer-events-none transition-transform duration-200 {isSizeDropdownOpen
? 'rotate-180'
: ''}"
>
<svg
class="w-3 h-3 text-exo-yellow/60"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M19 9l-7 7-7-7"
/>
</svg>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M19 9l-7 7-7-7"
/>
</svg>
</div>
</div>
{#if isSizeDropdownOpen}
<!-- Backdrop to close dropdown -->
<button
type="button"
class="fixed inset-0 z-[9998] cursor-default"
onclick={() => (isSizeDropdownOpen = false)}
aria-label="Close dropdown"
></button>
<!-- Dropdown Panel - fixed positioning to escape overflow:hidden -->
<div
class="fixed bg-exo-dark-gray border border-exo-yellow/30 rounded shadow-lg shadow-black/50 z-[9999] max-h-48 overflow-y-auto overflow-x-hidden min-w-max"
style="bottom: calc(100vh - {sizeDropdownPosition()
.top}px + 4px); left: {sizeDropdownPosition().left}px;"
>
<div class="py-1">
{#each sizeOptions as size}
<button
type="button"
onclick={() => selectSize(size)}
class="w-full px-3 py-1.5 text-left text-xs font-mono tracking-wide transition-colors duration-100 flex items-center gap-2 {params.size ===
size
? 'bg-transparent text-exo-yellow'
: 'text-exo-light-gray hover:text-exo-yellow'}"
>
{#if params.size === size}
<svg
class="w-3 h-3 flex-shrink-0"
fill="currentColor"
viewBox="0 0 20 20"
>
<path
fill-rule="evenodd"
d="M16.707 5.293a1 1 0 010 1.414l-8 8a1 1 0 01-1.414 0l-4-4a1 1 0 011.414-1.414L8 12.586l7.293-7.293a1 1 0 011.414 0z"
clip-rule="evenodd"
/>
</svg>
{:else}
<span class="w-3"></span>
{/if}
<span>{size.toUpperCase()}</span>
</button>
{/each}
</div>
</div>
{#if isSizeDropdownOpen}
<!-- Backdrop to close dropdown -->
<button
type="button"
class="fixed inset-0 z-[9998] cursor-default"
onclick={() => (isSizeDropdownOpen = false)}
aria-label="Close dropdown"
></button>
<!-- Dropdown Panel - fixed positioning to escape overflow:hidden -->
<div
class="fixed bg-exo-dark-gray border border-exo-yellow/30 rounded shadow-lg shadow-black/50 z-[9999] max-h-48 overflow-y-auto min-w-max"
style="bottom: calc(100vh - {sizeDropdownPosition()
.top}px + 4px); left: {sizeDropdownPosition().left}px;"
>
<div class="py-1">
{#each sizeOptions as size}
<button
type="button"
onclick={() => selectSize(size)}
class="w-full px-3 py-1.5 text-left text-xs font-mono tracking-wide transition-colors duration-100 flex items-center gap-2 {params.size ===
size
? 'bg-transparent text-exo-yellow'
: 'text-exo-light-gray hover:text-exo-yellow'}"
>
{#if params.size === size}
<svg
class="w-3 h-3 flex-shrink-0"
fill="currentColor"
viewBox="0 0 20 20"
>
<path
fill-rule="evenodd"
d="M16.707 5.293a1 1 0 010 1.414l-8 8a1 1 0 01-1.414 0l-4-4a1 1 0 011.414-1.414L8 12.586l7.293-7.293a1 1 0 011.414 0z"
clip-rule="evenodd"
/>
</svg>
{:else}
<span class="w-3"></span>
{/if}
<span>{size}</span>
</button>
{/each}
</div>
</div>
{/if}
</div>
{/if}
{/if}
</div>
<!-- Quality -->
<div class="flex items-center gap-1.5">
@@ -299,7 +310,7 @@
<!-- Dropdown Panel - fixed positioning to escape overflow:hidden -->
<div
class="fixed bg-exo-dark-gray border border-exo-yellow/30 rounded shadow-lg shadow-black/50 z-[9999] max-h-48 overflow-y-auto min-w-max"
class="fixed bg-exo-dark-gray border border-exo-yellow/30 rounded shadow-lg shadow-black/50 z-[9999] max-h-48 overflow-y-auto overflow-x-hidden min-w-max"
style="bottom: calc(100vh - {qualityDropdownPosition()
.top}px + 4px); left: {qualityDropdownPosition().left}px;"
>
@@ -578,7 +589,50 @@
</div>
</div>
<!-- Row 3: Negative Prompt -->
<!-- Row 3: Sync Steps -->
<div class="flex items-center gap-1.5">
<span
class="text-xs text-exo-light-gray uppercase tracking-wider whitespace-nowrap"
>SYNC STEPS:</span
>
<div class="flex items-center gap-2 flex-1 max-w-xs">
<input
type="range"
min="1"
max="100"
value={params.numSyncSteps ?? 1}
oninput={handleNumSyncStepsChange}
class="flex-1 h-1 bg-exo-medium-gray/50 rounded appearance-none cursor-pointer accent-exo-yellow"
/>
<span class="text-xs font-mono text-exo-yellow w-8 text-right">
{params.numSyncSteps ?? "--"}
</span>
{#if params.numSyncSteps !== null}
<button
type="button"
onclick={clearNumSyncSteps}
class="text-exo-light-gray hover:text-exo-yellow transition-colors"
title="Clear"
>
<svg
class="w-3 h-3"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M6 18L18 6M6 6l12 12"
/>
</svg>
</button>
{/if}
</div>
</div>
<!-- Row 4: Negative Prompt -->
<div class="flex flex-col gap-1.5">
<span class="text-xs text-exo-light-gray uppercase tracking-wider"
>NEGATIVE PROMPT:</span
@@ -0,0 +1,52 @@
<script lang="ts">
interface Props {
title: string;
subtitle: string;
config: string;
description?: string;
language?: "json" | "bash";
}
let {
title,
subtitle,
config,
description = "",
language = "json",
}: Props = $props();
let copied = $state(false);
async function copyToClipboard() {
await navigator.clipboard.writeText(config);
copied = true;
setTimeout(() => (copied = false), 2000);
}
</script>
<div
class="border border-exo-light-gray/20 rounded-lg bg-exo-medium-gray/20 overflow-hidden"
>
<div class="flex items-center justify-between px-5 py-4">
<div>
<h3 class="text-white text-sm font-semibold tracking-wide">{title}</h3>
<p class="text-exo-light-gray/60 text-xs mt-0.5 font-mono">{subtitle}</p>
</div>
<button
onclick={copyToClipboard}
class="px-3 py-1.5 text-xs rounded border transition-all duration-200 cursor-pointer
{copied
? 'border-green-500/50 text-green-400 bg-green-500/10'
: 'border-exo-light-gray/30 text-exo-light-gray hover:border-exo-yellow/50 hover:text-exo-yellow'}"
>
{copied ? "Copied!" : "Copy"}
</button>
</div>
{#if description}
<p class="text-exo-light-gray/70 text-xs px-5 pb-3">{description}</p>
{/if}
<div class="bg-black/30 border-t border-exo-light-gray/10">
<pre
class="text-xs text-exo-light-gray/90 font-mono p-4 overflow-x-auto whitespace-pre">{config}</pre>
</div>
</div>
@@ -507,9 +507,29 @@
});
$effect(() => {
if (containerRef && processedHtml) {
setupCopyButtons();
if (!containerRef || !browser) return;
function handleDelegatedClick(event: MouseEvent) {
const codeBtn = (event.target as HTMLElement).closest(
".copy-code-btn",
) as HTMLButtonElement | null;
if (codeBtn) {
handleCopyClick({ currentTarget: codeBtn } as unknown as Event);
return;
}
const mathBtn = (event.target as HTMLElement).closest(
".copy-math-btn",
) as HTMLButtonElement | null;
if (mathBtn) {
handleMathCopyClick({ currentTarget: mathBtn } as unknown as Event);
return;
}
}
containerRef.addEventListener("click", handleDelegatedClick);
return () => {
containerRef?.removeEventListener("click", handleDelegatedClick);
};
});
</script>
+76 -21
View File
@@ -16,12 +16,14 @@
perNode?: Array<{
nodeId: string;
nodeName: string;
progress: DownloadProgress;
status: "completed" | "partial" | "pending" | "downloading";
percentage: number;
progress: DownloadProgress | null;
}>;
} | null;
nodes?: Record<string, NodeInfo>;
sharding?: "Pipeline" | "Tensor";
runtime?: "MlxRing" | "MlxIbv" | "MlxJaccl";
runtime?: "MlxRing" | "MlxJaccl";
onLaunch?: () => void;
tags?: string[];
apiPreview?: PlacementPreview | null;
@@ -145,10 +147,7 @@
return `${s}s`;
}
const isDownloading = $derived(downloadStatus?.isDownloading ?? false);
const progress = $derived(downloadStatus?.progress);
const percentage = $derived(progress?.percentage ?? 0);
let expandedNodes = $state<Set<string>>(new Set());
const perNode = $derived(downloadStatus?.perNode ?? []);
function toggleNodeDetails(nodeId: string): void {
const next = new Set(expandedNodes);
@@ -348,7 +347,7 @@
// Debug mode state
const isDebugMode = $derived(debugMode());
const topology = $derived(topologyData());
const isRdma = $derived(runtime === "MlxIbv" || runtime === "MlxJaccl");
const isRdma = $derived(runtime === "MlxJaccl");
// Get interface name for an IP from node data
function getInterfaceForIp(nodeId: string, ip?: string): string | null {
@@ -422,9 +421,16 @@
const bToACandidates: Array<{ ip: string; iface: string | null }> = [];
for (const edge of topology.edges) {
const ip = edge.sendBackIp || "?";
const iface =
edge.sendBackInterface || getInterfaceForIp(edge.source, ip);
let ip: string;
let iface: string | null;
if (edge.sourceRdmaIface || edge.sinkRdmaIface) {
ip = "RDMA";
iface = `${edge.sourceRdmaIface || "?"} \u2192 ${edge.sinkRdmaIface || "?"}`;
} else {
ip = edge.sendBackIp || "?";
iface = edge.sendBackInterface || getInterfaceForIp(edge.source, ip);
}
if (edge.source === nodeId1 && edge.target === nodeId2) {
aToBCandidates.push({ ip, iface });
@@ -560,20 +566,72 @@
<div class="flex items-center gap-1.5 mb-2">
<span
class="px-1.5 py-0.5 text-xs font-mono tracking-wider uppercase bg-exo-medium-gray/30 text-exo-light-gray border border-exo-medium-gray/40"
title={sharding === "Pipeline"
? "Pipeline: splits model into sequential stages across devices. Lower network overhead."
: "Tensor: splits each layer across devices. Best with high-bandwidth connections (Thunderbolt)."}
>
{sharding}
</span>
<span
class="px-1.5 py-0.5 text-xs font-mono tracking-wider uppercase bg-exo-medium-gray/30 text-exo-light-gray border border-exo-medium-gray/40"
title={runtime === "MlxRing"
? "Ring: standard networking. Works over any connection (Wi-Fi, Ethernet, Thunderbolt)."
: "RDMA: direct memory access over Thunderbolt. Significantly faster for multi-device inference."}
>
{runtime === "MlxRing"
? "MLX Ring"
: runtime === "MlxIbv" || runtime === "MlxJaccl"
: runtime === "MlxJaccl"
? "MLX RDMA"
: runtime}
</span>
</div>
<!-- Download Status (per-node) -->
{#if perNode.length > 0}
<div class="mb-2 space-y-1">
<div
class="text-[10px] font-mono text-white/20 tracking-widest uppercase"
>
Download progress
</div>
{#each perNode as node}
<div class="flex items-center gap-2 text-xs font-mono">
<span class="text-white/40 w-20 truncate" title={node.nodeId}
>{node.nodeName}</span
>
<div
class="flex-1 h-1 bg-exo-medium-gray/30 rounded overflow-hidden"
>
<div
class="h-full transition-all duration-300 {node.status ===
'downloading'
? 'bg-blue-500/70'
: node.status === 'completed'
? 'bg-exo-yellow/40'
: 'bg-white/20'}"
style="width: {node.percentage}%"
></div>
</div>
<span
class="text-right {node.status === 'completed'
? 'text-exo-yellow/60'
: node.status === 'downloading'
? 'text-blue-400/60'
: 'text-white/30'}"
>
{#if node.status === "downloading" && node.progress}
{Math.round(node.percentage)}% {formatSpeed(
node.progress.speed,
)}
{:else}
{node.percentage > 0 ? `${Math.round(node.percentage)}%` : "0%"}
{/if}
</span>
</div>
{/each}
</div>
{/if}
<!-- Mini Topology Preview -->
{#if placementPreview().nodes.length > 0}
{@const preview = placementPreview()}
@@ -629,15 +687,7 @@
{@const allConnections =
isDebugMode && usedNodes.length > 1
? (() => {
const conns: Array<{
ip: string;
iface: string | null;
from: string;
to: string;
midX: number;
midY: number;
arrow: string;
}> = [];
const conns: Array = [];
for (let i = 0; i < usedNodes.length; i++) {
for (let j = i + 1; j < usedNodes.length; j++) {
const n1 = usedNodes[i];
@@ -649,7 +699,12 @@
const toPos = nodePositions[c.to];
const arrow =
fromPos && toPos ? getArrow(fromPos, toPos) : "→";
conns.push({ ...c, midX, midY, arrow });
conns.push({
...c,
midX,
midY,
arrow,
});
}
}
}
@@ -0,0 +1,279 @@
<script lang="ts">
import { fly } from "svelte/transition";
import { cubicOut } from "svelte/easing";
interface FilterState {
capabilities: string[];
sizeRange: { min: number; max: number } | null;
downloadedOnly: boolean;
readyOnly: boolean;
}
type ModelFilterPopoverProps = {
filters: FilterState;
onChange: (filters: FilterState) => void;
onClear: () => void;
onClose: () => void;
};
let { filters, onChange, onClear, onClose }: ModelFilterPopoverProps =
$props();
// Available capabilities
const availableCapabilities = [
{ id: "text", label: "Text" },
{ id: "thinking", label: "Thinking" },
{ id: "code", label: "Code" },
{ id: "vision", label: "Vision" },
{ id: "image_gen", label: "Image Gen" },
{ id: "image_edit", label: "Image Edit" },
];
// Size ranges
const sizeRanges = [
{ label: "< 10GB", min: 0, max: 10 },
{ label: "10-50GB", min: 10, max: 50 },
{ label: "50-200GB", min: 50, max: 200 },
{ label: "> 200GB", min: 200, max: 10000 },
];
function toggleCapability(cap: string) {
const next = filters.capabilities.includes(cap)
? filters.capabilities.filter((c) => c !== cap)
: [...filters.capabilities, cap];
onChange({ ...filters, capabilities: next });
}
function selectSizeRange(range: { min: number; max: number } | null) {
// Toggle off if same range is clicked
if (
filters.sizeRange &&
range &&
filters.sizeRange.min === range.min &&
filters.sizeRange.max === range.max
) {
onChange({ ...filters, sizeRange: null });
} else {
onChange({ ...filters, sizeRange: range });
}
}
function handleClickOutside(e: MouseEvent) {
const target = e.target as HTMLElement;
if (
!target.closest(".filter-popover") &&
!target.closest(".filter-toggle")
) {
onClose();
}
}
</script>
<svelte:window onclick={handleClickOutside} />
<!-- svelte-ignore a11y_no_static_element_interactions -->
<div
class="filter-popover absolute right-0 top-full mt-2 w-64 bg-exo-dark-gray border border-exo-yellow/10 rounded-lg shadow-xl z-20"
transition:fly={{ y: -10, duration: 200, easing: cubicOut }}
onclick={(e) => e.stopPropagation()}
role="dialog"
aria-label="Filter options"
>
<div class="p-3 space-y-4">
<!-- Capabilities -->
<div>
<h4 class="text-xs font-mono text-white/50 mb-2">Capabilities</h4>
<div class="flex flex-wrap gap-1.5">
{#each availableCapabilities as cap}
{@const isSelected = filters.capabilities.includes(cap.id)}
<button
type="button"
class="px-2 py-1 text-xs font-mono rounded transition-colors {isSelected
? 'bg-exo-yellow/20 text-exo-yellow border border-exo-yellow/30'
: 'bg-white/5 text-white/60 hover:bg-white/10 border border-transparent'}"
onclick={() => toggleCapability(cap.id)}
>
{#if cap.id === "text"}
<svg
class="w-3.5 h-3.5 inline-block"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
><path
d="M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z"
stroke-linecap="round"
stroke-linejoin="round"
/></svg
>
{:else if cap.id === "thinking"}
<svg
class="w-3.5 h-3.5 inline-block"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
><path
d="M12 2a7 7 0 0 0-7 7c0 2.38 1.19 4.47 3 5.74V17a1 1 0 0 0 1 1h6a1 1 0 0 0 1-1v-2.26c1.81-1.27 3-3.36 3-5.74a7 7 0 0 0-7-7zM9 20h6M10 22h4"
stroke-linecap="round"
stroke-linejoin="round"
/></svg
>
{:else if cap.id === "code"}
<svg
class="w-3.5 h-3.5 inline-block"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
><path
d="M16 18l6-6-6-6M8 6l-6 6 6 6"
stroke-linecap="round"
stroke-linejoin="round"
/></svg
>
{:else if cap.id === "vision"}
<svg
class="w-3.5 h-3.5 inline-block"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
><path
d="M1 12s4-8 11-8 11 8 11 8-4 8-11 8-11-8-11-8z"
stroke-linecap="round"
stroke-linejoin="round"
/><circle cx="12" cy="12" r="3" /></svg
>
{:else if cap.id === "image_gen"}
<svg
class="w-3.5 h-3.5 inline-block"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
><rect
x="3"
y="3"
width="18"
height="18"
rx="2"
ry="2"
stroke-linecap="round"
stroke-linejoin="round"
/><circle cx="8.5" cy="8.5" r="1.5" /><path
d="M21 15l-5-5L5 21"
stroke-linecap="round"
stroke-linejoin="round"
/></svg
>
{:else if cap.id === "image_edit"}
<svg
class="w-3.5 h-3.5 inline-block"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
><path
d="M11 4H4a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2v-7"
stroke-linecap="round"
stroke-linejoin="round"
/><path
d="M18.5 2.5a2.121 2.121 0 0 1 3 3L12 15l-4 1 1-4 9.5-9.5z"
stroke-linecap="round"
stroke-linejoin="round"
/></svg
>
{/if}
<span class="ml-1">{cap.label}</span>
</button>
{/each}
</div>
</div>
<!-- Availability filters -->
<div>
<h4 class="text-xs font-mono text-white/50 mb-2">Availability</h4>
<div class="flex flex-wrap gap-1.5">
<button
type="button"
class="px-2 py-1 text-xs font-mono rounded transition-colors {filters.downloadedOnly
? 'bg-green-500/20 text-green-400 border border-green-500/30'
: 'bg-white/5 text-white/60 hover:bg-white/10 border border-transparent'}"
onclick={() =>
onChange({ ...filters, downloadedOnly: !filters.downloadedOnly })}
>
<svg
class="w-3.5 h-3.5 inline-block"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
>
<path
class="text-white/40"
d="M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z"
/>
<path class="text-green-400" d="m9 13 2 2 4-4" />
</svg>
<span class="ml-1">Downloaded</span>
</button>
<button
type="button"
class="px-2 py-1 text-xs font-mono rounded transition-colors {filters.readyOnly
? 'bg-green-500/20 text-green-400 border border-green-500/30'
: 'bg-white/5 text-white/60 hover:bg-white/10 border border-transparent'}"
onclick={() =>
onChange({ ...filters, readyOnly: !filters.readyOnly })}
>
<svg
class="w-3.5 h-3.5 inline-block"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
>
<circle cx="12" cy="12" r="10" />
<path d="m9 12 2 2 4-4" />
</svg>
<span class="ml-1">Ready</span>
</button>
</div>
</div>
<!-- Size range -->
<div>
<h4 class="text-xs font-mono text-white/50 mb-2">Model Size</h4>
<div class="flex flex-wrap gap-1.5">
{#each sizeRanges as range}
{@const isSelected =
filters.sizeRange &&
filters.sizeRange.min === range.min &&
filters.sizeRange.max === range.max}
<button
type="button"
class="px-2 py-1 text-xs font-mono rounded transition-colors {isSelected
? 'bg-exo-yellow/20 text-exo-yellow border border-exo-yellow/30'
: 'bg-white/5 text-white/60 hover:bg-white/10 border border-transparent'}"
onclick={() => selectSizeRange(range)}
>
{range.label}
</button>
{/each}
</div>
</div>
<!-- Clear button -->
<button
type="button"
class="w-full py-1.5 text-xs font-mono text-white/50 hover:text-white/70 hover:bg-white/5 rounded transition-colors"
onclick={onClear}
>
Clear all filters
</button>
</div>
</div>
@@ -0,0 +1,667 @@
<script lang="ts">
interface ModelInfo {
id: string;
name?: string;
storage_size_megabytes?: number;
base_model?: string;
quantization?: string;
supports_tensor?: boolean;
capabilities?: string[];
family?: string;
is_custom?: boolean;
}
interface ModelGroup {
id: string;
name: string;
capabilities: string[];
family: string;
variants: ModelInfo[];
smallestVariant: ModelInfo;
hasMultipleVariants: boolean;
}
type DownloadAvailability = {
available: boolean;
nodeNames: string[];
nodeIds: string[];
};
type ModelFitStatus = "fits_now" | "fits_cluster_capacity" | "too_large";
type ModelPickerGroupProps = {
group: ModelGroup;
isExpanded: boolean;
isFavorite: boolean;
isHighlighted?: boolean;
selectedModelId: string | null;
canModelFit: (id: string) => boolean;
getModelFitStatus: (id: string) => ModelFitStatus;
onToggleExpand: () => void;
onSelectModel: (modelId: string) => void;
onToggleFavorite: (baseModelId: string) => void;
onShowInfo: (group: ModelGroup) => void;
downloadStatusMap?: Map<string, DownloadAvailability>;
launchedAt?: number;
instanceStatuses?: Record<string, { status: string; statusClass: string }>;
};
let {
group,
isExpanded,
isFavorite,
isHighlighted = false,
selectedModelId,
canModelFit,
getModelFitStatus,
onToggleExpand,
onSelectModel,
onToggleFavorite,
onShowInfo,
downloadStatusMap,
launchedAt,
instanceStatuses = {},
}: ModelPickerGroupProps = $props();
// Group-level download status: show if any variant is downloaded
const groupDownloadStatus = $derived.by(() => {
if (!downloadStatusMap || downloadStatusMap.size === 0) return undefined;
// Return the first available entry (prefer "available" ones)
for (const avail of downloadStatusMap.values()) {
if (avail.available) return avail;
}
return downloadStatusMap.values().next().value;
});
// Format storage size
function formatSize(mb: number | undefined): string {
if (!mb) return "";
if (mb >= 1024) {
return `${(mb / 1024).toFixed(0)}GB`;
}
return `${mb}MB`;
}
function timeAgo(ts: number): string {
const seconds = Math.floor((Date.now() - ts) / 1000);
if (seconds < 60) return "just now";
const minutes = Math.floor(seconds / 60);
if (minutes < 60) return `${minutes}m ago`;
const hours = Math.floor(minutes / 60);
if (hours < 24) return `${hours}h ago`;
const days = Math.floor(hours / 24);
return `${days}d ago`;
}
// Check if any variant can fit
const anyVariantFits = $derived(
group.variants.some((v) => canModelFit(v.id)),
);
// Check if any variant has an active instance (ready, loading, downloading)
const anyVariantHasInstance = $derived(
instanceStatuses
? group.variants.some((v) => instanceStatuses[v.id] != null)
: false,
);
const groupFitStatus = $derived.by((): ModelFitStatus => {
let hasClusterCapacityOnly = false;
for (const variant of group.variants) {
const fitStatus = getModelFitStatus(variant.id);
if (fitStatus === "fits_now") {
return "fits_now";
}
if (fitStatus === "fits_cluster_capacity") {
hasClusterCapacityOnly = true;
}
}
return hasClusterCapacityOnly ? "fits_cluster_capacity" : "too_large";
});
function getSizeClassForFitStatus(fitStatus: ModelFitStatus): string {
switch (fitStatus) {
case "fits_now":
return "text-white/40";
case "fits_cluster_capacity":
return "text-orange-400/80";
case "too_large":
return "text-red-400/70";
}
}
// Check if this group's model is currently selected (for single-variant groups)
const isMainSelected = $derived(
!group.hasMultipleVariants &&
group.variants.some((v) => v.id === selectedModelId),
);
// Group-level instance status: show the "best" status across all variants
const groupInstanceStatus = $derived.by(() => {
if (!instanceStatuses) return null;
const readyStatuses = ["READY", "LOADED", "RUNNING"];
const loadingStatuses = ["LOADING", "WARMING UP"];
let bestStatus: { status: string; statusClass: string } | null = null;
for (const variant of group.variants) {
const s = instanceStatuses[variant.id];
if (!s) continue;
if (readyStatuses.includes(s.status)) return s; // Ready is best
if (loadingStatuses.includes(s.status) || s.status === "DOWNLOADING") {
bestStatus = s;
}
}
return bestStatus;
});
</script>
<div
data-model-ids={group.variants.map((v) => v.id).join(" ")}
class="border-b border-white/5 last:border-b-0 {!anyVariantFits &&
!anyVariantHasInstance
? 'opacity-50'
: ''} {isHighlighted ? 'model-just-added' : ''}"
>
<!-- Main row -->
<div
class="flex items-center gap-2 px-3 py-2.5 transition-colors {anyVariantFits ||
anyVariantHasInstance
? 'hover:bg-white/5 cursor-pointer'
: 'cursor-not-allowed'} {isMainSelected
? 'bg-exo-yellow/10 border-l-2 border-exo-yellow'
: 'border-l-2 border-transparent'}"
onclick={() => {
if (group.hasMultipleVariants) {
onToggleExpand();
} else {
const modelId = group.variants[0]?.id;
if (modelId && (canModelFit(modelId) || instanceStatuses[modelId])) {
onSelectModel(modelId);
}
}
}}
role="button"
tabindex="0"
onkeydown={(e) => {
if (e.key === "Enter" || e.key === " ") {
e.preventDefault();
if (group.hasMultipleVariants) {
onToggleExpand();
} else {
const modelId = group.variants[0]?.id;
if (modelId && (canModelFit(modelId) || instanceStatuses[modelId])) {
onSelectModel(modelId);
}
}
}
}}
>
<!-- Expand/collapse chevron (for groups with variants) -->
{#if group.hasMultipleVariants}
<svg
class="w-4 h-4 text-white/40 transition-transform duration-200 flex-shrink-0 {isExpanded
? 'rotate-90'
: ''}"
viewBox="0 0 24 24"
fill="currentColor"
>
<path d="M8.59 16.59L13.17 12 8.59 7.41 10 6l6 6-6 6-1.41-1.41z" />
</svg>
{:else}
<div class="w-4 flex-shrink-0"></div>
{/if}
<!-- Model name -->
<div class="flex-1 min-w-0">
<div class="flex items-center gap-2">
<span class="font-mono text-sm text-white truncate">
{group.name}
</span>
<!-- Capability icons -->
{#each group.capabilities.filter((c) => c !== "text") as cap}
{#if cap === "thinking"}
<svg
class="w-3.5 h-3.5 text-white/40 flex-shrink-0"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
title="Supports Thinking"
>
<path
d="M12 2a7 7 0 0 0-7 7c0 2.38 1.19 4.47 3 5.74V17a1 1 0 0 0 1 1h6a1 1 0 0 0 1-1v-2.26c1.81-1.27 3-3.36 3-5.74a7 7 0 0 0-7-7zM9 20h6M10 22h4"
stroke-linecap="round"
stroke-linejoin="round"
/>
</svg>
{:else if cap === "code"}
<svg
class="w-3.5 h-3.5 text-white/40 flex-shrink-0"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
title="Supports code generation"
>
<path
d="M16 18l6-6-6-6M8 6l-6 6 6 6"
stroke-linecap="round"
stroke-linejoin="round"
/>
</svg>
{:else if cap === "vision"}
<svg
class="w-3.5 h-3.5 text-white/40 flex-shrink-0"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
title="Supports image input"
>
<path
d="M1 12s4-8 11-8 11 8 11 8-4 8-11 8-11-8-11-8z"
stroke-linecap="round"
stroke-linejoin="round"
/>
<circle cx="12" cy="12" r="3" />
</svg>
{:else if cap === "image_gen"}
<svg
class="w-3.5 h-3.5 text-white/40 flex-shrink-0"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
title="Supports image generation"
>
<rect
x="3"
y="3"
width="18"
height="18"
rx="2"
ry="2"
stroke-linecap="round"
stroke-linejoin="round"
/>
<circle cx="8.5" cy="8.5" r="1.5" />
<path
d="M21 15l-5-5L5 21"
stroke-linecap="round"
stroke-linejoin="round"
/>
</svg>
{:else if cap === "image_edit"}
<svg
class="w-3.5 h-3.5 text-white/40 flex-shrink-0"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
title="Supports image editing"
>
<path
d="M11 4H4a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2v-7"
stroke-linecap="round"
stroke-linejoin="round"
/>
<path
d="M18.5 2.5a2.121 2.121 0 0 1 3 3L12 15l-4 1 1-4 9.5-9.5z"
stroke-linecap="round"
stroke-linejoin="round"
/>
</svg>
{/if}
{/each}
</div>
</div>
<!-- Size indicator (smallest variant) -->
{#if !group.hasMultipleVariants && group.smallestVariant?.storage_size_megabytes}
{@const singleVariantFitStatus = getModelFitStatus(
group.smallestVariant.id,
)}
<span
class="text-xs font-mono flex-shrink-0 {getSizeClassForFitStatus(
singleVariantFitStatus,
)}"
>
{formatSize(group.smallestVariant.storage_size_megabytes)}
</span>
{/if}
<!-- Variant count with size range -->
{#if group.hasMultipleVariants}
{@const sizes = group.variants
.map((v) => v.storage_size_megabytes || 0)
.filter((s) => s > 0)
.sort((a, b) => a - b)}
<span
class="text-xs font-mono flex-shrink-0 {getSizeClassForFitStatus(
groupFitStatus,
)}"
>
{group.variants.length} variants{#if sizes.length >= 2}{" "}({formatSize(
sizes[0],
)}-{formatSize(sizes[sizes.length - 1])}){/if}
</span>
{/if}
<!-- Time ago (for recent models) -->
{#if launchedAt}
<span class="text-xs font-mono text-white/20 flex-shrink-0">
{timeAgo(launchedAt)}
</span>
{/if}
<!-- Download availability indicator -->
{#if groupDownloadStatus && groupDownloadStatus.nodeIds.length > 0}
<span
class="flex-shrink-0"
title={groupDownloadStatus.available
? `Ready — downloaded on ${groupDownloadStatus.nodeNames.join(", ")}`
: `Downloaded on ${groupDownloadStatus.nodeNames.join(", ")} (may need more nodes)`}
>
<svg
class="w-4 h-4"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
>
<path
class="text-white/40"
d="M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z"
/>
<path class="text-green-400" d="m9 13 2 2 4-4" />
</svg>
</span>
{/if}
<!-- Instance status badge -->
{#if groupInstanceStatus}
{#if groupInstanceStatus.status === "READY" || groupInstanceStatus.status === "LOADED" || groupInstanceStatus.status === "RUNNING"}
<span class="flex-shrink-0" title="Running">
<svg
class="w-3 h-3 text-green-400"
viewBox="0 0 12 12"
fill="currentColor"
>
<circle cx="6" cy="6" r="5" />
</svg>
</span>
{:else if groupInstanceStatus.status === "DOWNLOADING"}
<span class="flex-shrink-0 animate-pulse" title="Downloading">
<svg
class="w-3.5 h-3.5 text-blue-400"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
>
<path d="M21 15v4a2 2 0 01-2 2H5a2 2 0 01-2-2v-4" />
<polyline points="7 10 12 15 17 10" />
<line x1="12" y1="15" x2="12" y2="3" />
</svg>
</span>
{:else if groupInstanceStatus.status === "LOADING" || groupInstanceStatus.status === "WARMING UP"}
<span class="flex-shrink-0 animate-pulse" title="Loading">
<svg
class="w-3 h-3 text-yellow-400"
viewBox="0 0 12 12"
fill="currentColor"
>
<circle cx="6" cy="6" r="5" />
</svg>
</span>
{/if}
{/if}
<!-- Check mark if selected (single-variant) -->
{#if isMainSelected}
<svg
class="w-4 h-4 text-exo-yellow flex-shrink-0"
viewBox="0 0 24 24"
fill="currentColor"
>
<path d="M9 16.17L4.83 12l-1.42 1.41L9 19 21 7l-1.41-1.41L9 16.17z" />
</svg>
{/if}
<!-- Favorite star -->
<button
type="button"
class="p-1 rounded hover:bg-white/10 transition-colors flex-shrink-0"
onclick={(e) => {
e.stopPropagation();
onToggleFavorite(group.id);
}}
title={isFavorite ? "Remove from favorites" : "Add to favorites"}
>
{#if isFavorite}
<svg
class="w-4 h-4 text-amber-400"
viewBox="0 0 24 24"
fill="currentColor"
>
<path
d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z"
/>
</svg>
{:else}
<svg
class="w-4 h-4 text-white/30 hover:text-white/50"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
>
<path
d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z"
/>
</svg>
{/if}
</button>
<!-- Info button -->
<button
type="button"
class="p-1 rounded hover:bg-white/10 transition-colors flex-shrink-0"
onclick={(e) => {
e.stopPropagation();
onShowInfo(group);
}}
title="View model details"
>
<svg
class="w-4 h-4 text-white/30 hover:text-white/50"
viewBox="0 0 24 24"
fill="currentColor"
>
<path
d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm1 15h-2v-6h2v6zm0-8h-2V7h2v2z"
/>
</svg>
</button>
</div>
<!-- Expanded variants -->
{#if isExpanded && group.hasMultipleVariants}
<div class="bg-black/20 border-t border-white/5">
{#each group.variants as variant}
{@const fitStatus = getModelFitStatus(variant.id)}
{@const modelCanFit = canModelFit(variant.id)}
{@const variantHasInstance = instanceStatuses[variant.id] != null}
{@const isSelected = selectedModelId === variant.id}
<div
class="w-full flex items-center gap-3 px-3 py-2 pl-10 hover:bg-white/5 transition-colors text-left {!modelCanFit &&
!variantHasInstance
? 'opacity-50 cursor-not-allowed'
: 'cursor-pointer'} {isSelected
? 'bg-exo-yellow/10 border-l-2 border-exo-yellow'
: 'border-l-2 border-transparent'}"
role="button"
tabindex="0"
onclick={() => {
if (modelCanFit || variantHasInstance) {
onSelectModel(variant.id);
}
}}
onkeydown={(e) => {
if (e.key === "Enter" || e.key === " ") {
e.preventDefault();
if (modelCanFit) {
onSelectModel(variant.id);
}
}
}}
>
<!-- Quantization badge -->
<span
class="text-xs font-mono px-1.5 py-0.5 rounded bg-white/10 text-white/70 flex-shrink-0"
>
{variant.quantization || "default"}
</span>
<!-- Size -->
<span
class="text-xs font-mono flex-1 {getSizeClassForFitStatus(
fitStatus,
)}"
>
{formatSize(variant.storage_size_megabytes)}
</span>
<!-- Download indicator for this variant -->
{#if downloadStatusMap?.get(variant.id)}
{@const variantDl = downloadStatusMap.get(variant.id)}
{#if variantDl}
<span
class="flex-shrink-0"
title={`Downloaded on ${variantDl.nodeNames.join(", ")}`}
>
<svg
class="w-3.5 h-3.5"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
>
<path
class="text-white/40"
d="M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z"
/>
<path class="text-green-400" d="m9 13 2 2 4-4" />
</svg>
</span>
{/if}
{/if}
<!-- Instance status badge -->
{#if instanceStatuses[variant.id]}
{@const instStatus = instanceStatuses[variant.id]}
{#if instStatus.status === "READY" || instStatus.status === "LOADED" || instStatus.status === "RUNNING"}
<span class="flex-shrink-0" title="Running">
<svg
class="w-3 h-3 text-green-400"
viewBox="0 0 12 12"
fill="currentColor"
>
<circle cx="6" cy="6" r="5" />
</svg>
</span>
{:else if instStatus.status === "DOWNLOADING"}
<span class="flex-shrink-0 animate-pulse" title="Downloading">
<svg
class="w-3.5 h-3.5 text-blue-400"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
>
<path d="M21 15v4a2 2 0 01-2 2H5a2 2 0 01-2-2v-4" />
<polyline points="7 10 12 15 17 10" />
<line x1="12" y1="15" x2="12" y2="3" />
</svg>
</span>
{:else if instStatus.status === "LOADING" || instStatus.status === "WARMING UP"}
<span class="flex-shrink-0 animate-pulse" title="Loading">
<svg
class="w-3 h-3 text-yellow-400"
viewBox="0 0 12 12"
fill="currentColor"
>
<circle cx="6" cy="6" r="5" />
</svg>
</span>
{/if}
{/if}
<!-- Check mark if selected -->
{#if isSelected}
<svg
class="w-4 h-4 text-exo-yellow"
viewBox="0 0 24 24"
fill="currentColor"
>
<path
d="M9 16.17L4.83 12l-1.42 1.41L9 19 21 7l-1.41-1.41L9 16.17z"
/>
</svg>
{/if}
<!-- Info button -->
<button
type="button"
class="p-1 rounded hover:bg-white/10 transition-colors flex-shrink-0"
onclick={(e) => {
e.stopPropagation();
onShowInfo({
id: variant.id,
name: variant.name || variant.id,
capabilities: group.capabilities,
family: group.family,
variants: [variant],
smallestVariant: variant,
hasMultipleVariants: false,
});
}}
title="View variant details"
>
<svg
class="w-4 h-4 text-white/30 hover:text-white/50"
viewBox="0 0 24 24"
fill="currentColor"
>
<path
d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm1 15h-2v-6h2v6zm0-8h-2V7h2v2z"
/>
</svg>
</button>
</div>
{/each}
</div>
{/if}
</div>
<style>
.model-just-added {
animation: highlightFade 4s ease-out forwards;
}
@keyframes highlightFade {
0%,
40% {
background-color: rgba(20, 83, 45, 0.25);
box-shadow: inset 0 0 0 1px rgba(74, 222, 128, 0.4);
}
100% {
background-color: transparent;
box-shadow: none;
}
}
</style>
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,70 @@
<script lang="ts">
import type { PrefillProgress } from "$lib/stores/app.svelte";
interface Props {
progress: PrefillProgress;
class?: string;
}
let { progress, class: className = "" }: Props = $props();
const percentage = $derived(
progress.total > 0
? Math.round((progress.processed / progress.total) * 100)
: 0,
);
const etaText = $derived.by(() => {
if (progress.processed <= 0 || progress.total <= 0) return null;
const elapsedMs = performance.now() - progress.startedAt;
if (elapsedMs < 200) return null; // need a minimum sample window
const tokensPerMs = progress.processed / elapsedMs;
const remainingTokens = progress.total - progress.processed;
const remainingMs = remainingTokens / tokensPerMs;
const remainingSec = Math.ceil(remainingMs / 1000);
if (remainingSec <= 0) return null;
if (remainingSec < 60) return `~${remainingSec}s remaining`;
const mins = Math.floor(remainingSec / 60);
const secs = remainingSec % 60;
return `~${mins}m ${secs}s remaining`;
});
function formatTokenCount(count: number | undefined): string {
if (count == null) return "0";
if (count >= 1000) {
return `${(count / 1000).toFixed(1)}k`;
}
return count.toString();
}
</script>
<div class="prefill-progress {className}">
<div
class="flex items-center justify-between text-xs text-exo-light-gray mb-1"
>
<span>Processing prompt</span>
<span class="font-mono">
{formatTokenCount(progress.processed)} / {formatTokenCount(
progress.total,
)} tokens
</span>
</div>
<div class="h-1.5 bg-exo-black/60 rounded-full overflow-hidden">
<div
class="h-full bg-exo-yellow rounded-full transition-all duration-150 ease-out"
style="width: {percentage}%"
></div>
</div>
<div
class="flex items-center justify-between text-xs text-exo-light-gray/70 mt-0.5 font-mono"
>
<span>{etaText ?? ""}</span>
<span>{percentage}%</span>
</div>
</div>
<style>
.prefill-progress {
width: 100%;
}
</style>
@@ -0,0 +1,117 @@
<script lang="ts">
import { toasts, dismissToast, type Toast } from "$lib/stores/toast.svelte";
import { fly, fade } from "svelte/transition";
import { flip } from "svelte/animate";
const items = $derived(toasts());
const typeStyles: Record<
Toast["type"],
{ border: string; icon: string; iconColor: string }
> = {
success: {
border: "border-l-green-500",
icon: "M9 12.75L11.25 15 15 9.75M21 12a9 9 0 11-18 0 9 9 0 0118 0z",
iconColor: "text-green-400",
},
error: {
border: "border-l-red-500",
icon: "M12 9v3.75m9-.75a9 9 0 11-18 0 9 9 0 0118 0zm-9 3.75h.008v.008H12v-.008z",
iconColor: "text-red-400",
},
warning: {
border: "border-l-yellow-500",
icon: "M12 9v3.75m-9.303 3.376c-.866 1.5.217 3.374 1.948 3.374h14.71c1.73 0 2.813-1.874 1.948-3.374L13.949 3.378c-.866-1.5-3.032-1.5-3.898 0L2.697 16.126z",
iconColor: "text-yellow-400",
},
info: {
border: "border-l-blue-500",
icon: "M11.25 11.25l.041-.02a.75.75 0 011.063.852l-.708 2.836a.75.75 0 001.063.853l.041-.021M21 12a9 9 0 11-18 0 9 9 0 0118 0zm-9-3.75h.008v.008H12V8.25z",
iconColor: "text-blue-400",
},
};
</script>
{#if items.length > 0}
<div
class="fixed bottom-6 right-6 z-[9999] flex flex-col gap-2 pointer-events-none"
role="log"
aria-live="polite"
aria-label="Notifications"
>
{#each items as toast (toast.id)}
{@const style = typeStyles[toast.type]}
<div
class="pointer-events-auto max-w-sm w-80 bg-exo-dark-gray/95 backdrop-blur-sm border border-exo-medium-gray/60 border-l-[3px] {style.border} rounded shadow-lg shadow-black/40"
in:fly={{ x: 80, duration: 250 }}
out:fade={{ duration: 150 }}
animate:flip={{ duration: 200 }}
role="alert"
>
<div class="flex items-start gap-3 px-4 py-3">
<!-- Icon -->
<svg
class="w-5 h-5 flex-shrink-0 mt-0.5 {style.iconColor}"
fill="none"
viewBox="0 0 24 24"
stroke-width="1.5"
stroke="currentColor"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d={style.icon}
/>
</svg>
<!-- Message -->
<p class="flex-1 text-sm text-white/90 font-mono leading-snug">
{toast.message}
</p>
<!-- Dismiss button -->
<button
onclick={() => dismissToast(toast.id)}
class="flex-shrink-0 p-0.5 text-white/40 hover:text-white/80 transition-colors cursor-pointer"
aria-label="Dismiss notification"
>
<svg
class="w-4 h-4"
fill="none"
viewBox="0 0 24 24"
stroke-width="2"
stroke="currentColor"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M6 18L18 6M6 6l12 12"
/>
</svg>
</button>
</div>
<!-- Auto-dismiss progress bar -->
{#if toast.duration > 0}
<div class="h-0.5 bg-white/5 rounded-b overflow-hidden">
<div
class="h-full {style.border.replace('border-l-', 'bg-')}/60"
style="animation: shrink {toast.duration}ms linear forwards"
></div>
</div>
{/if}
</div>
{/each}
</div>
{/if}
<style>
@keyframes shrink {
from {
width: 100%;
}
to {
width: 0%;
}
}
</style>
@@ -0,0 +1,236 @@
<script lang="ts">
import type { TokenData } from "$lib/stores/app.svelte";
interface Props {
tokens: TokenData[];
class?: string;
isGenerating?: boolean;
onRegenerateFrom?: (tokenIndex: number) => void;
}
let {
tokens,
class: className = "",
isGenerating = false,
onRegenerateFrom,
}: Props = $props();
// Tooltip state - track both token data and index
let hoveredTokenIndex = $state<number | null>(null);
let hoveredPosition = $state<{ x: number; y: number } | null>(null);
let isTooltipHovered = $state(false);
let hideTimeoutId: ReturnType<typeof setTimeout> | null = null;
// Derive the hovered token from the index (stable across re-renders)
const hoveredToken = $derived(
hoveredTokenIndex !== null && hoveredPosition && tokens[hoveredTokenIndex]
? {
token: tokens[hoveredTokenIndex],
index: hoveredTokenIndex,
...hoveredPosition,
}
: null,
);
/**
* Get confidence styling based on probability.
* Following Apple design principles: high confidence tokens blend in,
* only uncertainty draws attention.
*/
function getConfidenceClass(probability: number): string {
if (probability > 0.8) return "text-inherit"; // Expected tokens - blend in
if (probability > 0.5) return "bg-gray-500/10 text-inherit"; // Slight hint
if (probability > 0.2) return "bg-amber-500/15 text-amber-200/90"; // Subtle warmth
return "bg-red-500/20 text-red-200/90"; // Draws attention
}
/**
* Get border/underline styling for uncertain tokens
*/
function getBorderClass(probability: number): string {
if (probability > 0.8) return "border-transparent"; // No border for expected
if (probability > 0.5) return "border-gray-500/20";
if (probability > 0.2) return "border-amber-500/30";
return "border-red-500/40";
}
function clearHideTimeout() {
if (hideTimeoutId) {
clearTimeout(hideTimeoutId);
hideTimeoutId = null;
}
}
function handleMouseEnter(
event: MouseEvent,
token: TokenData,
index: number,
) {
clearHideTimeout();
const rects = (event.target as HTMLElement).getClientRects();
let rect = rects[0];
for (let j = 0; j < rects.length; j++) {
if (event.clientY >= rects[j].top && event.clientY <= rects[j].bottom) {
rect = rects[j];
break;
}
}
hoveredTokenIndex = index;
hoveredPosition = {
x: rect.left + rect.width / 2,
y: rect.top - 10,
};
}
function handleMouseLeave() {
clearHideTimeout();
// Use longer delay during generation to account for re-renders
const delay = isGenerating ? 300 : 200;
hideTimeoutId = setTimeout(() => {
if (!isTooltipHovered) {
hoveredTokenIndex = null;
hoveredPosition = null;
}
}, delay);
}
function handleTooltipEnter() {
clearHideTimeout();
isTooltipHovered = true;
}
function handleTooltipLeave() {
isTooltipHovered = false;
hoveredTokenIndex = null;
hoveredPosition = null;
}
function handleRegenerate() {
if (hoveredToken && onRegenerateFrom) {
const indexToRegenerate = hoveredToken.index;
// Clear hover state immediately
hoveredTokenIndex = null;
hoveredPosition = null;
isTooltipHovered = false;
// Call regenerate
onRegenerateFrom(indexToRegenerate);
}
}
function formatProbability(prob: number): string {
return (prob * 100).toFixed(1) + "%";
}
function formatLogprob(logprob: number): string {
return logprob.toFixed(3);
}
function getProbabilityColor(probability: number): string {
if (probability > 0.8) return "text-gray-300";
if (probability > 0.5) return "text-gray-400";
if (probability > 0.2) return "text-amber-400";
return "text-red-400";
}
</script>
<div class="token-heatmap leading-relaxed {className}">
{#each tokens as tokenData, i (i)}
<span
role="button"
tabindex="0"
class="token-span inline rounded px-0.5 py-0.5 cursor-pointer transition-all duration-150 border {getConfidenceClass(
tokenData.probability,
)} {getBorderClass(tokenData.probability)} hover:opacity-80"
onmouseenter={(e) => handleMouseEnter(e, tokenData, i)}
onmouseleave={handleMouseLeave}>{tokenData.token}</span
>
{/each}
</div>
<!-- Tooltip -->
{#if hoveredToken}
<div
class="fixed z-50 pb-2"
style="left: {hoveredToken.x}px; top: {hoveredToken.y}px; transform: translate(-50%, -100%);"
onmouseenter={handleTooltipEnter}
onmouseleave={handleTooltipLeave}
>
<div
class="bg-gray-900/95 backdrop-blur-sm border border-gray-700/50 rounded-xl shadow-xl p-3 text-sm min-w-48"
>
<!-- Token info -->
<div class="mb-2">
<span class="text-gray-500 text-xs">Token:</span>
<span class="text-white font-mono ml-1"
>"{hoveredToken.token.token}"</span
>
<span class="{getProbabilityColor(hoveredToken.token.probability)} ml-2"
>{formatProbability(hoveredToken.token.probability)}</span
>
</div>
<div class="text-gray-400 text-xs mb-1">
logprob: <span class="text-gray-300 font-mono"
>{formatLogprob(hoveredToken.token.logprob)}</span
>
</div>
<!-- Top alternatives -->
{#if hoveredToken.token.topLogprobs.length > 0}
<div class="border-t border-gray-700/50 mt-2 pt-2">
<div class="text-gray-500 text-xs mb-1">Alternatives:</div>
{#each hoveredToken.token.topLogprobs.slice(0, 5) as alt, idx (idx)}
{@const altProb = Math.exp(alt.logprob)}
<div class="flex justify-between items-center text-xs py-0.5">
<span class="text-gray-300 font-mono truncate max-w-24"
>"{alt.token}"</span
>
<span class="text-gray-400 ml-2"
>{formatProbability(altProb)}</span
>
</div>
{/each}
</div>
{/if}
<!-- Regenerate button -->
{#if onRegenerateFrom}
<button
onclick={handleRegenerate}
class="w-full mt-2 pt-2 border-t border-gray-700/50 flex items-center justify-center gap-1.5 text-xs text-gray-400 hover:text-white transition-colors cursor-pointer"
>
<svg
class="w-3 h-3"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M4 4v5h.582m15.356 2A8.001 8.001 0 004.582 9m0 0H9m11 11v-5h-.581m0 0a8.003 8.003 0 01-15.357-2m15.357 2H15"
/>
</svg>
Regenerate from here
</button>
{/if}
</div>
<!-- Arrow -->
<div class="absolute left-1/2 -translate-x-1/2 top-full">
<div class="border-8 border-transparent border-t-gray-900"></div>
</div>
</div>
{/if}
<style>
.token-heatmap {
word-wrap: break-word;
white-space: pre-wrap;
}
.token-span {
margin: 0;
border-width: 1px;
}
</style>
@@ -6,6 +6,8 @@
isTopologyMinimized,
debugMode,
nodeThunderboltBridge,
nodeRdmaCtl,
nodeIdentities,
type NodeInfo,
} from "$lib/stores/app.svelte";
@@ -31,6 +33,8 @@
const data = $derived(topologyData());
const debugEnabled = $derived(debugMode());
const tbBridgeData = $derived(nodeThunderboltBridge());
const rdmaCtlData = $derived(nodeRdmaCtl());
const identitiesData = $derived(nodeIdentities());
function getNodeLabel(nodeId: string): string {
const node = data?.nodes?.[nodeId];
@@ -333,14 +337,27 @@
if (edge.source === a) entry.aToB = true;
else entry.bToA = true;
const ip = edge.sendBackIp || "?";
const ifaceInfo = getInterfaceLabel(edge.source, ip);
let ip: string;
let ifaceLabel: string;
let missingIface: boolean;
if (edge.sourceRdmaIface || edge.sinkRdmaIface) {
ip = "RDMA";
ifaceLabel = `${edge.sourceRdmaIface || "?"} \u2192 ${edge.sinkRdmaIface || "?"}`;
missingIface = false;
} else {
ip = edge.sendBackIp || "?";
const ifaceInfo = getInterfaceLabel(edge.source, ip);
ifaceLabel = ifaceInfo.label;
missingIface = ifaceInfo.missing;
}
entry.connections.push({
from: edge.source,
to: edge.target,
ip,
ifaceLabel: ifaceInfo.label,
missingIface: ifaceInfo.missing,
ifaceLabel,
missingIface,
});
pairMap.set(key, entry);
});
@@ -1120,15 +1137,17 @@
.text(` (${ramUsagePercent.toFixed(0)}%)`);
}
// Debug mode: Show TB bridge status
// Debug mode: Show TB bridge and RDMA status
if (debugEnabled) {
let debugLabelY =
nodeInfo.y +
iconBaseHeight / 2 +
(showFullLabels ? 32 : showCompactLabels ? 26 : 22);
const debugFontSize = showFullLabels ? 9 : 7;
const debugLineHeight = showFullLabels ? 11 : 9;
const tbStatus = tbBridgeData[nodeInfo.id];
if (tbStatus) {
const tbY =
nodeInfo.y +
iconBaseHeight / 2 +
(showFullLabels ? 32 : showCompactLabels ? 26 : 22);
const tbFontSize = showFullLabels ? 9 : 7;
const tbColor = tbStatus.enabled
? "rgba(234,179,8,0.9)"
: "rgba(100,100,100,0.7)";
@@ -1136,12 +1155,46 @@
nodeG
.append("text")
.attr("x", nodeInfo.x)
.attr("y", tbY)
.attr("y", debugLabelY)
.attr("text-anchor", "middle")
.attr("fill", tbColor)
.attr("font-size", tbFontSize)
.attr("font-size", debugFontSize)
.attr("font-family", "SF Mono, Monaco, monospace")
.text(tbText);
debugLabelY += debugLineHeight;
}
const rdmaStatus = rdmaCtlData[nodeInfo.id];
if (rdmaStatus !== undefined) {
const rdmaColor = rdmaStatus.enabled
? "rgba(74,222,128,0.9)"
: "rgba(100,100,100,0.7)";
const rdmaText = rdmaStatus.enabled ? "RDMA:ON" : "RDMA:OFF";
nodeG
.append("text")
.attr("x", nodeInfo.x)
.attr("y", debugLabelY)
.attr("text-anchor", "middle")
.attr("fill", rdmaColor)
.attr("font-size", debugFontSize)
.attr("font-family", "SF Mono, Monaco, monospace")
.text(rdmaText);
debugLabelY += debugLineHeight;
}
const identity = identitiesData[nodeInfo.id];
if (identity?.osVersion) {
nodeG
.append("text")
.attr("x", nodeInfo.x)
.attr("y", debugLabelY)
.attr("text-anchor", "middle")
.attr("fill", "rgba(179,179,179,0.7)")
.attr("font-size", debugFontSize)
.attr("font-family", "SF Mono, Monaco, monospace")
.text(
`macOS ${identity.osVersion}${identity.osBuildVersion ? ` (${identity.osBuildVersion})` : ""}`,
);
}
}
});
+8
View File
@@ -6,3 +6,11 @@ export { default as ChatSidebar } from "./ChatSidebar.svelte";
export { default as ModelCard } from "./ModelCard.svelte";
export { default as MarkdownContent } from "./MarkdownContent.svelte";
export { default as ImageParamsPanel } from "./ImageParamsPanel.svelte";
export { default as FamilyLogos } from "./FamilyLogos.svelte";
export { default as FamilySidebar } from "./FamilySidebar.svelte";
export { default as HuggingFaceResultItem } from "./HuggingFaceResultItem.svelte";
export { default as ModelFilterPopover } from "./ModelFilterPopover.svelte";
export { default as ModelPickerGroup } from "./ModelPickerGroup.svelte";
export { default as ModelPickerModal } from "./ModelPickerModal.svelte";
export { default as ChatModelSelector } from "./ChatModelSelector.svelte";
export { default as IntegrationCard } from "./IntegrationCard.svelte";
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,97 @@
/**
* FavoritesStore - Manages favorite models with localStorage persistence
*/
import { browser } from "$app/environment";
const FAVORITES_KEY = "exo-favorite-models";
class FavoritesStore {
favorites = $state<Set<string>>(new Set());
constructor() {
if (browser) {
this.loadFromStorage();
}
}
private loadFromStorage() {
try {
const stored = localStorage.getItem(FAVORITES_KEY);
if (stored) {
const parsed = JSON.parse(stored) as string[];
this.favorites = new Set(parsed);
}
} catch (error) {
console.error("Failed to load favorites:", error);
}
}
private saveToStorage() {
try {
const array = Array.from(this.favorites);
localStorage.setItem(FAVORITES_KEY, JSON.stringify(array));
} catch (error) {
console.error("Failed to save favorites:", error);
}
}
add(baseModelId: string) {
const next = new Set(this.favorites);
next.add(baseModelId);
this.favorites = next;
this.saveToStorage();
}
remove(baseModelId: string) {
const next = new Set(this.favorites);
next.delete(baseModelId);
this.favorites = next;
this.saveToStorage();
}
toggle(baseModelId: string) {
if (this.favorites.has(baseModelId)) {
this.remove(baseModelId);
} else {
this.add(baseModelId);
}
}
isFavorite(baseModelId: string): boolean {
return this.favorites.has(baseModelId);
}
getAll(): string[] {
return Array.from(this.favorites);
}
getSet(): Set<string> {
return new Set(this.favorites);
}
hasAny(): boolean {
return this.favorites.size > 0;
}
clearAll() {
this.favorites = new Set();
this.saveToStorage();
}
}
export const favoritesStore = new FavoritesStore();
export const favorites = () => favoritesStore.favorites;
export const hasFavorites = () => favoritesStore.hasAny();
export const isFavorite = (baseModelId: string) =>
favoritesStore.isFavorite(baseModelId);
export const toggleFavorite = (baseModelId: string) =>
favoritesStore.toggle(baseModelId);
export const addFavorite = (baseModelId: string) =>
favoritesStore.add(baseModelId);
export const removeFavorite = (baseModelId: string) =>
favoritesStore.remove(baseModelId);
export const getFavorites = () => favoritesStore.getAll();
export const getFavoritesSet = () => favoritesStore.getSet();
export const clearFavorites = () => favoritesStore.clearAll();
@@ -0,0 +1,75 @@
/**
* RecentsStore - Manages recently launched models with localStorage persistence
*/
import { browser } from "$app/environment";
const RECENTS_KEY = "exo-recent-models";
const MAX_RECENT_MODELS = 20;
interface RecentEntry {
modelId: string;
launchedAt: number;
}
class RecentsStore {
recents = $state<RecentEntry[]>([]);
constructor() {
if (browser) {
this.loadFromStorage();
}
}
private loadFromStorage() {
try {
const stored = localStorage.getItem(RECENTS_KEY);
if (stored) {
const parsed = JSON.parse(stored) as RecentEntry[];
this.recents = parsed;
}
} catch (error) {
console.error("Failed to load recent models:", error);
}
}
private saveToStorage() {
try {
localStorage.setItem(RECENTS_KEY, JSON.stringify(this.recents));
} catch (error) {
console.error("Failed to save recent models:", error);
}
}
recordLaunch(modelId: string) {
// Remove existing entry for this model (if any) to move it to top
const filtered = this.recents.filter((r) => r.modelId !== modelId);
// Prepend new entry
const next = [{ modelId, launchedAt: Date.now() }, ...filtered];
// Cap at max
this.recents = next.slice(0, MAX_RECENT_MODELS);
this.saveToStorage();
}
getRecentModelIds(): string[] {
return this.recents.map((r) => r.modelId);
}
hasAny(): boolean {
return this.recents.length > 0;
}
clearAll() {
this.recents = [];
this.saveToStorage();
}
}
export const recentsStore = new RecentsStore();
export const hasRecents = () => recentsStore.hasAny();
export const getRecentModelIds = () => recentsStore.getRecentModelIds();
export const getRecentEntries = () => recentsStore.recents;
export const recordRecentLaunch = (modelId: string) =>
recentsStore.recordLaunch(modelId);
export const clearRecents = () => recentsStore.clearAll();
+87
View File
@@ -0,0 +1,87 @@
/**
* Toast notification store - Global notification system for the EXO dashboard.
*
* Usage:
* import { addToast, dismissToast, toasts } from "$lib/stores/toast.svelte";
* addToast({ type: "success", message: "Model launched" });
* addToast({ type: "error", message: "Connection lost", persistent: true });
*/
type ToastType = "success" | "error" | "warning" | "info";
export interface Toast {
id: string;
type: ToastType;
message: string;
/** Auto-dismiss after this many ms. 0 = persistent (must be dismissed manually). */
duration: number;
createdAt: number;
}
interface ToastInput {
type: ToastType;
message: string;
/** If true, toast stays until manually dismissed. Default: false. */
persistent?: boolean;
/** Auto-dismiss duration in ms. Default: 4000 for success/info, 6000 for error/warning. */
duration?: number;
}
const DEFAULT_DURATIONS: Record<ToastType, number> = {
success: 4000,
info: 4000,
warning: 6000,
error: 6000,
};
let toastList = $state<Toast[]>([]);
const timers = new Map<string, ReturnType<typeof setTimeout>>();
function generateId(): string {
return `toast-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;
}
export function addToast(input: ToastInput): string {
const id = generateId();
const duration = input.persistent
? 0
: (input.duration ?? DEFAULT_DURATIONS[input.type]);
const toast: Toast = {
id,
type: input.type,
message: input.message,
duration,
createdAt: Date.now(),
};
toastList = [...toastList, toast];
if (duration > 0) {
const timer = setTimeout(() => dismissToast(id), duration);
timers.set(id, timer);
}
return id;
}
export function dismissToast(id: string): void {
const timer = timers.get(id);
if (timer) {
clearTimeout(timer);
timers.delete(id);
}
toastList = toastList.filter((t) => t.id !== id);
}
/** Dismiss all toasts matching a message (useful for dedup). */
export function dismissByMessage(message: string): void {
const matching = toastList.filter((t) => t.message === message);
for (const t of matching) {
dismissToast(t.id);
}
}
export function toasts(): Toast[] {
return toastList;
}
+68 -1
View File
@@ -2,6 +2,15 @@
* File attachment types for the chat interface
*/
import { getDocument, GlobalWorkerOptions, version } from "pdfjs-dist";
import type { DocumentInitParameters } from "pdfjs-dist/types/src/display/api";
GlobalWorkerOptions.workerSrc = `https://cdn.jsdelivr.net/npm/pdfjs-dist@${version}/build/pdf.worker.mjs`;
const PDF_PAGE_SCALE = 2.0;
const PDF_MAX_PAGES = 20;
const PDF_MAX_TEXT_CHARS = 100_000;
export interface ChatUploadedFile {
id: string;
name: string;
@@ -10,6 +19,7 @@ export interface ChatUploadedFile {
file: File;
preview?: string;
textContent?: string;
pageImages?: string[];
}
export interface ChatAttachment {
@@ -194,6 +204,58 @@ export function readFileAsText(file: File): Promise<string> {
});
}
async function extractPdfContent(
file: File,
): Promise<{ text: string; pageImages: string[] }> {
const arrayBuffer = await file.arrayBuffer();
const pdf = await getDocument({
data: new Uint8Array(arrayBuffer),
useSystemFonts: true,
} as DocumentInitParameters).promise;
const numPages = Math.min(pdf.numPages, PDF_MAX_PAGES);
const pageTexts: string[] = [];
const pageImages: string[] = [];
for (let i = 1; i <= numPages; i++) {
const page = await pdf.getPage(i);
const content = await page.getTextContent();
const strings = content.items
.filter((item: any) => "str" in item)
.map((item: any) => item.str as string);
pageTexts.push(strings.join(" "));
const viewport = page.getViewport({ scale: PDF_PAGE_SCALE });
const canvas = new OffscreenCanvas(viewport.width, viewport.height);
const ctx = canvas.getContext("2d");
if (ctx) {
await page.render({ canvasContext: ctx as any, viewport }).promise;
const blob = await canvas.convertToBlob({
type: "image/jpeg",
quality: 0.8,
});
const reader = new FileReader();
const dataUrl = await new Promise<string>((resolve, reject) => {
reader.onload = () => resolve(reader.result as string);
reader.onerror = () => reject(reader.error);
reader.readAsDataURL(blob);
});
pageImages.push(dataUrl);
}
}
let text = pageTexts.join("\n\n").trim();
if (text.length > PDF_MAX_TEXT_CHARS) {
text = text.slice(0, PDF_MAX_TEXT_CHARS) + "\n\n[truncated]";
}
if (pdf.numPages > PDF_MAX_PAGES) {
text += `\n\n[showing ${PDF_MAX_PAGES} of ${pdf.numPages} pages]`;
}
return { text, pageImages };
}
/**
* Process uploaded files into ChatUploadedFile format
*/
@@ -223,7 +285,12 @@ export async function processUploadedFiles(
const textContent = await readFileAsText(file);
results.push({ ...base, textContent });
} else if (category === "pdf") {
results.push(base);
const { text, pageImages } = await extractPdfContent(file);
results.push({
...base,
textContent: text || undefined,
pageImages: pageImages.length > 0 ? pageImages : undefined,
});
} else if (category === "audio") {
const preview = await readFileAsDataURL(file);
results.push({ ...base, preview });
+152
View File
@@ -0,0 +1,152 @@
/**
* Shared utilities for parsing and querying download state.
*
* The download state from `/state` is shaped as:
* Record<NodeId, Array<TaggedDownloadEntry>>
*
* Each entry is a tagged union object like:
* { "DownloadCompleted": { shard_metadata: { "PipelineShardMetadata": { model_card: { model_id: "..." }, ... } }, ... } }
*/
/** Unwrap one level of tagged-union envelope, returning [tag, payload]. */
function unwrapTagged(
obj: Record<string, unknown>,
): [string, Record<string, unknown>] | null {
const keys = Object.keys(obj);
if (keys.length !== 1) return null;
const tag = keys[0];
const payload = obj[tag];
if (!payload || typeof payload !== "object") return null;
return [tag, payload as Record<string, unknown>];
}
/** Extract the model ID string from a download entry's nested shard_metadata. */
export function extractModelIdFromDownload(
downloadPayload: Record<string, unknown>,
): string | null {
const shardMetadata =
downloadPayload.shard_metadata ?? downloadPayload.shardMetadata;
if (!shardMetadata || typeof shardMetadata !== "object") return null;
const unwrapped = unwrapTagged(shardMetadata as Record<string, unknown>);
if (!unwrapped) return null;
const [, shardData] = unwrapped;
const modelMeta = shardData.model_card ?? shardData.modelCard;
if (!modelMeta || typeof modelMeta !== "object") return null;
const meta = modelMeta as Record<string, unknown>;
return (meta.model_id as string) ?? (meta.modelId as string) ?? null;
}
/** Extract the shard_metadata object from a download entry payload. */
export function extractShardMetadata(
downloadPayload: Record<string, unknown>,
): Record<string, unknown> | null {
const shardMetadata =
downloadPayload.shard_metadata ?? downloadPayload.shardMetadata;
if (!shardMetadata || typeof shardMetadata !== "object") return null;
return shardMetadata as Record<string, unknown>;
}
/** Get the download tag (DownloadCompleted, DownloadOngoing, etc.) from a wrapped entry. */
export function getDownloadTag(
entry: unknown,
): [string, Record<string, unknown>] | null {
if (!entry || typeof entry !== "object") return null;
return unwrapTagged(entry as Record<string, unknown>);
}
/**
* Iterate over all download entries for a given node, yielding [tag, payload, modelId].
*/
function* iterNodeDownloads(
nodeDownloads: unknown[],
): Generator<[string, Record<string, unknown>, string]> {
for (const entry of nodeDownloads) {
const tagged = getDownloadTag(entry);
if (!tagged) continue;
const [tag, payload] = tagged;
const modelId = extractModelIdFromDownload(payload);
if (!modelId) continue;
yield [tag, payload, modelId];
}
}
/** Check if a specific model is fully downloaded (DownloadCompleted) on a specific node. */
export function isModelDownloadedOnNode(
downloadsData: Record<string, unknown[]>,
nodeId: string,
modelId: string,
): boolean {
const nodeDownloads = downloadsData[nodeId];
if (!Array.isArray(nodeDownloads)) return false;
for (const [tag, , entryModelId] of iterNodeDownloads(nodeDownloads)) {
if (tag === "DownloadCompleted" && entryModelId === modelId) return true;
}
return false;
}
/** Get all node IDs where a model is fully downloaded (DownloadCompleted). */
export function getNodesWithModelDownloaded(
downloadsData: Record<string, unknown[]>,
modelId: string,
): string[] {
const result: string[] = [];
for (const nodeId of Object.keys(downloadsData)) {
if (isModelDownloadedOnNode(downloadsData, nodeId, modelId)) {
result.push(nodeId);
}
}
return result;
}
/**
* Find shard metadata for a model from any download entry across all nodes.
* Returns the first match found (completed entries are preferred).
*/
export function getShardMetadataForModel(
downloadsData: Record<string, unknown[]>,
modelId: string,
): Record<string, unknown> | null {
let fallback: Record<string, unknown> | null = null;
for (const nodeDownloads of Object.values(downloadsData)) {
if (!Array.isArray(nodeDownloads)) continue;
for (const [tag, payload, entryModelId] of iterNodeDownloads(
nodeDownloads,
)) {
if (entryModelId !== modelId) continue;
const shard = extractShardMetadata(payload);
if (!shard) continue;
if (tag === "DownloadCompleted") return shard;
if (!fallback) fallback = shard;
}
}
return fallback;
}
/**
* Get the download status tag for a specific model on a specific node.
* Returns the "best" status: DownloadCompleted > DownloadOngoing > others.
*/
export function getModelDownloadStatus(
downloadsData: Record<string, unknown[]>,
nodeId: string,
modelId: string,
): string | null {
const nodeDownloads = downloadsData[nodeId];
if (!Array.isArray(nodeDownloads)) return null;
let best: string | null = null;
for (const [tag, , entryModelId] of iterNodeDownloads(nodeDownloads)) {
if (entryModelId !== modelId) continue;
if (tag === "DownloadCompleted") return tag;
if (tag === "DownloadOngoing") best = tag;
else if (!best) best = tag;
}
return best;
}
+4
View File
@@ -1,5 +1,7 @@
<script lang="ts">
import "../app.css";
import ToastContainer from "$lib/components/ToastContainer.svelte";
import ConnectionBanner from "$lib/components/ConnectionBanner.svelte";
let { children } = $props();
</script>
@@ -10,5 +12,7 @@
</svelte:head>
<div class="min-h-screen bg-background text-foreground">
<ConnectionBanner />
{@render children?.()}
<ToastContainer />
</div>
File diff suppressed because it is too large Load Diff
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,577 @@
<script lang="ts">
import { browser } from "$app/environment";
import { fade } from "svelte/transition";
import HeaderNav from "$lib/components/HeaderNav.svelte";
import IntegrationCard from "$lib/components/IntegrationCard.svelte";
import { instances, refreshState } from "$lib/stores/app.svelte";
import { onMount } from "svelte";
const apiUrl = browser
? window.location.origin.replace("localhost", "127.0.0.1")
: "http://127.0.0.1:52415";
const instancesData = $derived(instances());
let modelCapabilities = $state<Record<string, string[]>>({});
let modelContextLengths = $state<Record<string, number>>({});
const runningModels = $derived.by(() => {
const models: string[] = [];
for (const [, wrapper] of Object.entries(instancesData)) {
if (wrapper && typeof wrapper === "object") {
const values = Object.values(wrapper as Record<string, unknown>);
if (values.length > 0) {
const instance = values[0];
if (instance && typeof instance === "object") {
const inst = instance as {
shardAssignments?: { modelId?: string };
};
const modelId = inst.shardAssignments?.modelId;
if (modelId && !models.includes(modelId)) {
models.push(modelId);
}
}
}
}
}
return models;
});
function estimateParamSize(modelId: string): number {
const match = modelId.match(/(\d+(?:\.\d+)?)[Bb]/);
return match ? parseFloat(match[1]) : 0;
}
const modelsBySize = $derived(
[...runningModels].sort(
(a, b) => estimateParamSize(b) - estimateParamSize(a),
),
);
const defaultTiers = $derived.by(() => {
const n = modelsBySize.length;
if (n === 0)
return {
opus: "your-model-id",
sonnet: "your-model-id",
haiku: "your-model-id",
};
if (n === 1)
return {
opus: modelsBySize[0],
sonnet: modelsBySize[0],
haiku: modelsBySize[0],
};
if (n === 2)
return {
opus: modelsBySize[0],
sonnet: modelsBySize[1],
haiku: modelsBySize[1],
};
return {
opus: modelsBySize[0],
sonnet: modelsBySize[Math.floor(n / 2)],
haiku: modelsBySize[n - 1],
};
});
let opusModel = $state("");
let sonnetModel = $state("");
let haikuModel = $state("");
$effect(() => {
opusModel = defaultTiers.opus;
sonnetModel = defaultTiers.sonnet;
haikuModel = defaultTiers.haiku;
});
let codexModel = $state("");
let codexMcpPath = $state("/Users/username");
let openClawModel = $state("");
$effect(() => {
const def = modelsBySize.length > 0 ? modelsBySize[0] : "your-model-id";
codexModel = def;
openClawModel = def;
});
const claudeShellCommand = $derived(
[
`ANTHROPIC_BASE_URL=${apiUrl} \\`,
`ANTHROPIC_API_KEY=x \\`,
`ANTHROPIC_DEFAULT_OPUS_MODEL=${opusModel} \\`,
`ANTHROPIC_DEFAULT_SONNET_MODEL=${sonnetModel} \\`,
`ANTHROPIC_DEFAULT_HAIKU_MODEL=${haikuModel} \\`,
`API_TIMEOUT_MS=3000000 \\`,
`CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1 \\`,
`claude`,
].join("\n"),
);
const claudeSettingsJson = $derived(
JSON.stringify(
{
env: {
ANTHROPIC_BASE_URL: apiUrl,
ANTHROPIC_API_KEY: "x",
ANTHROPIC_DEFAULT_OPUS_MODEL: opusModel,
ANTHROPIC_DEFAULT_SONNET_MODEL: sonnetModel,
ANTHROPIC_DEFAULT_HAIKU_MODEL: haikuModel,
API_TIMEOUT_MS: "3000000",
CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC: "1",
},
},
null,
2,
),
);
const openCodeConfig = $derived.by(() => {
const models: Record<string, Record<string, unknown>> = {};
for (const modelId of runningModels) {
const caps = modelCapabilities[modelId] || [];
const ctxLen = modelContextLengths[modelId] || 0;
const entry: Record<string, unknown> = { name: modelId };
if (ctxLen > 0) {
entry.limit = { context: ctxLen, output: Math.min(ctxLen, 16384) };
}
if (caps.includes("vision")) {
entry.modalities = { input: ["text", "image"], output: ["text"] };
}
models[modelId] = entry;
}
if (Object.keys(models).length === 0) {
models["your-model-id"] = { name: "your-model-name" };
}
const firstModel =
runningModels.length > 0 ? runningModels[0] : "your-model-id";
return JSON.stringify(
{
$schema: "https://opencode.ai/config.json",
provider: {
exo: {
npm: "@ai-sdk/openai-compatible",
name: "exo",
options: {
baseURL: `${apiUrl}/v1`,
apiKey: "x",
},
models,
},
},
model: `exo/${firstModel}`,
},
null,
2,
);
});
const codexShellCommand = $derived(`EXO_API_KEY=x npx @openai/codex`);
const codexConfig = $derived(
[
`model = "${codexModel}"`,
`model_provider = "exo"`,
``,
`[model_providers.exo]`,
`name = "exo"`,
`base_url = "${apiUrl}/v1"`,
`env_key = "EXO_API_KEY"`,
``,
`[mcp_servers.filesystem]`,
`command = "npx"`,
`args = ["-y", "@modelcontextprotocol/server-filesystem", "${codexMcpPath}"]`,
].join("\n"),
);
const openClawConfig = $derived(
JSON.stringify(
{
gateway: { mode: "local" },
models: {
providers: {
exo: {
baseUrl: `${apiUrl}/v1`,
apiKey: "x",
api: "openai-completions",
models: [
{
id: openClawModel,
name: "exo local",
input: (modelCapabilities[openClawModel] || []).includes(
"vision",
)
? ["text", "image"]
: ["text"],
},
],
},
},
},
agents: {
defaults: {
model: `exo/${openClawModel}`,
},
},
},
null,
2,
),
);
const ollamaCommand = $derived(
`OLLAMA_HOST=${apiUrl}/ollama ollama run ${modelsBySize.length > 0 ? modelsBySize[0] : "your-model-id"}`,
);
const openWebUiCommand = $derived(
[
`docker run -d -p 3000:8080 \\`,
` -e OLLAMA_BASE_URL=${apiUrl.replace("localhost", "host.docker.internal")}/ollama \\`,
` -v open-webui:/app/backend/data \\`,
` --name open-webui \\`,
` ghcr.io/open-webui/open-webui:main`,
].join("\n"),
);
const n8nDockerCommand = $derived(
[
`docker run -d -p 5678:5678 \\`,
` -v n8n_data:/home/node/.n8n \\`,
` --name n8n \\`,
` docker.n8n.io/n8nio/n8n`,
].join("\n"),
);
const n8nCredentialSteps = $derived(
[
`1. Go to Credentials → Add Credential → search "OpenAI API"`,
`2. Set API Key to: x`,
`3. Set Base URL to: ${apiUrl.replace("127.0.0.1", "host.docker.internal").replace("localhost", "host.docker.internal")}/v1`,
`4. Save the credential`,
].join("\n"),
);
const n8nWorkflowSteps = $derived(
[
`1. Create a new workflow → "Start from Scratch"`,
`2. Add an "AI Agent" or "Basic LLM Chain" node`,
`3. Inside it, add an "OpenAI Chat Model" sub-node`,
`4. Select the OpenAI credential you just created`,
`5. Set Model to "From list" and pick your model (e.g. ${modelsBySize.length > 0 ? modelsBySize[0] : "your-model-id"})`,
`6. Optionally toggle "Use Responses API", add Built-in Tools, or click "Add Option" for sampling settings`,
`7. Connect a "Chat Trigger" node for interactive chat`,
`8. On the Chat Trigger, enable "Allow File Uploads" for vision`,
].join("\n"),
);
const firefoxConfig = $derived(
[
`1. Open about:config in Firefox`,
`2. Set browser.ml.chat.enabled to true`,
`3. Set browser.ml.chat.hideLocalhost to false`,
`4. Set browser.ml.chat.provider to: ${apiUrl}/`,
].join("\n"),
);
const tabs = [
"Claude Code",
"OpenCode",
"Codex",
"OpenClaw",
"Open WebUI",
"n8n",
"Firefox",
] as const;
type Tab = (typeof tabs)[number];
const stored = browser ? localStorage.getItem("exo-integrations-tab") : null;
let activeTab = $state<Tab>(
stored && tabs.includes(stored as Tab) ? (stored as Tab) : "Claude Code",
);
$effect(() => {
if (browser) localStorage.setItem("exo-integrations-tab", activeTab);
});
const selectClass =
"bg-black/30 border border-exo-light-gray/20 rounded px-2 py-1.5 text-white font-mono text-xs focus:border-exo-yellow/50 focus:outline-none appearance-none cursor-pointer";
onMount(async () => {
refreshState();
try {
const resp = await fetch("/v1/models");
const data = (await resp.json()) as {
data: { id: string; capabilities: string[]; context_length: number }[];
};
const caps: Record<string, string[]> = {};
const ctxs: Record<string, number> = {};
for (const model of data.data) {
caps[model.id] = model.capabilities || [];
if (model.context_length > 0) ctxs[model.id] = model.context_length;
}
modelCapabilities = caps;
modelContextLengths = ctxs;
} catch {
/* ignore */
}
});
</script>
<div class="min-h-screen bg-exo-dark-gray flex flex-col">
<HeaderNav showHome={true} />
<main
class="flex-1 max-w-3xl mx-auto w-full px-4 md:px-6 py-8"
in:fade={{ duration: 200 }}
>
<div class="mb-8">
<h1
class="text-white text-xl md:text-2xl font-semibold tracking-wide mb-2"
>
Integrations
</h1>
<p class="text-exo-light-gray/60 text-sm">
Connect external tools to your exo cluster.
</p>
</div>
<!-- Status -->
<div class="mb-8">
<span class="text-exo-light-gray/70 text-xs uppercase tracking-wider"
>API Endpoint</span
>
<span class="text-white font-mono text-sm ml-2">{apiUrl}</span>
{#if runningModels.length > 0}
<div class="text-exo-light-gray/50 text-xs mt-2">
Running model{runningModels.length > 1 ? "s" : ""}:
<ul class="mt-1 space-y-0.5 list-none">
{#each runningModels as model}
<li class="text-exo-yellow font-mono">{model}</li>
{/each}
</ul>
</div>
{:else}
<p class="text-exo-light-gray/40 text-xs mt-2 italic">
No models currently running
</p>
{/if}
</div>
<!-- API Endpoints -->
<div class="mb-8">
<div
class="flex flex-col sm:flex-row gap-3 text-xs font-mono text-exo-light-gray/70"
>
<div
class="flex-1 bg-black/20 border border-exo-light-gray/10 rounded px-3 py-2"
>
<span class="text-exo-light-gray/40 text-[10px] uppercase block mb-1"
>OpenAI-compatible</span
>
<span class="text-white/80">{apiUrl}/v1</span>
</div>
<div
class="flex-1 bg-black/20 border border-exo-light-gray/10 rounded px-3 py-2"
>
<span class="text-exo-light-gray/40 text-[10px] uppercase block mb-1"
>Claude-compatible</span
>
<span class="text-white/80">{apiUrl}</span>
</div>
<div
class="flex-1 bg-black/20 border border-exo-light-gray/10 rounded px-3 py-2"
>
<span class="text-exo-light-gray/40 text-[10px] uppercase block mb-1"
>Ollama-compatible</span
>
<span class="text-white/80">{apiUrl}/ollama</span>
</div>
</div>
</div>
<!-- Tabs -->
<div
class="flex flex-wrap gap-2 mb-6 border-b border-exo-light-gray/10 pb-3"
>
{#each tabs as tab}
<button
onclick={() => (activeTab = tab)}
class="px-3 py-1.5 text-xs rounded-md transition-all cursor-pointer
{activeTab === tab
? 'bg-exo-yellow/15 text-exo-yellow border border-exo-yellow/30'
: 'text-exo-light-gray/60 hover:text-white/80 border border-transparent hover:border-exo-light-gray/20'}"
>
{tab}
</button>
{/each}
</div>
<!-- Tab Content -->
<div class="space-y-4">
{#if activeTab === "Claude Code"}
{#if runningModels.length > 1}
<div class="grid grid-cols-3 gap-3 text-xs">
{#each [{ label: "Opus", bind: () => opusModel, set: (v: string) => (opusModel = v) }, { label: "Sonnet", bind: () => sonnetModel, set: (v: string) => (sonnetModel = v) }, { label: "Haiku", bind: () => haikuModel, set: (v: string) => (haikuModel = v) }] as tier}
<div>
<span
class="text-exo-light-gray/50 text-[10px] uppercase tracking-wider block mb-1"
>{tier.label}</span
>
<select
value={tier.bind()}
onchange={(e) =>
tier.set((e.target as HTMLSelectElement).value)}
class="w-full {selectClass}"
>
{#each runningModels as model}
<option value={model}>{model.split("/").pop()}</option>
{/each}
</select>
</div>
{/each}
</div>
{/if}
<IntegrationCard
title="Shell Command"
subtitle="Run in terminal"
description="Launch Claude Code with exo as the backend. Paste this into your terminal."
config={claudeShellCommand}
language="bash"
/>
<IntegrationCard
title="Settings File"
subtitle="~/.claude/settings.json"
description="Or add this to your Claude Code settings for persistent configuration."
config={claudeSettingsJson}
/>
{:else if activeTab === "OpenCode"}
<IntegrationCard
title="Config File"
subtitle="opencode.json"
description="Add this to your project root or ~/.config/opencode/opencode.json for global config. Vision models automatically get image input modality."
config={openCodeConfig}
/>
{:else if activeTab === "Codex"}
<div class="flex gap-3 text-xs">
{#if runningModels.length > 1}
<div>
<span
class="text-exo-light-gray/50 text-[10px] uppercase tracking-wider block mb-1"
>Model</span
>
<select bind:value={codexModel} class={selectClass}>
{#each runningModels as model}
<option value={model}>{model.split("/").pop()}</option>
{/each}
</select>
</div>
{/if}
<div class="flex-1">
<span
class="text-exo-light-gray/50 text-[10px] uppercase tracking-wider block mb-1"
>MCP Filesystem Path</span
>
<input
type="text"
bind:value={codexMcpPath}
class="w-full bg-black/30 border border-exo-light-gray/20 rounded px-2 py-1.5 text-white font-mono text-xs focus:border-exo-yellow/50 focus:outline-none"
/>
</div>
</div>
<IntegrationCard
title="Config File"
subtitle="~/.codex/config.toml"
description="Add this to your Codex CLI config so the model and provider persist."
config={codexConfig}
/>
<IntegrationCard
title="Shell Command"
subtitle="Run in terminal"
description="Launch Codex with exo as the backend."
config={codexShellCommand}
language="bash"
/>
{:else if activeTab === "OpenClaw"}
{#if runningModels.length > 1}
<div class="text-xs">
<span
class="text-exo-light-gray/50 text-[10px] uppercase tracking-wider block mb-1"
>Model</span
>
<select bind:value={openClawModel} class={selectClass}>
{#each runningModels as model}
<option value={model}>{model.split("/").pop()}</option>
{/each}
</select>
</div>
{/if}
<IntegrationCard
title="Config File"
subtitle="~/.openclaw/openclaw.json"
description="Add this to your OpenClaw config. If you haven't installed OpenClaw yet, run: npm install -g openclaw@latest"
config={openClawConfig}
/>
<IntegrationCard
title="Setup Commands"
subtitle="Run in terminal"
description="After saving the config, run these commands to fix metadata and start the gateway."
config={`openclaw doctor --fix${(modelCapabilities[openClawModel] || []).includes("vision") ? `\nopenclaw models set-image exo/${openClawModel}` : ""}\nopenclaw gateway &\nopenclaw dashboard`}
language="bash"
/>
{:else if activeTab === "Open WebUI"}
<IntegrationCard
title="1. Start Open WebUI"
subtitle="Run in terminal"
description="Run this to start Open WebUI."
config={openWebUiCommand}
language="bash"
/>
<IntegrationCard
title="2. Open & Select Model"
subtitle="http://localhost:3000"
description={`Open http://localhost:3000 in your browser. Select the running model from the dropdown at the top: ${runningModels.length > 0 ? runningModels.join(", ") : "no models running"}`}
config={"open http://localhost:3000"}
language="bash"
/>
<IntegrationCard
title="Ollama CLI"
subtitle="Run in terminal"
description="Or use the Ollama CLI directly."
config={ollamaCommand}
language="bash"
/>
{:else if activeTab === "n8n"}
<IntegrationCard
title="1. Start n8n"
subtitle="Run in terminal"
description="Start n8n with Docker. If you already have n8n running, skip this step."
config={n8nDockerCommand}
language="bash"
/>
<IntegrationCard
title="2. Open n8n"
subtitle="http://localhost:5678"
description="Open n8n in your browser. If this is your first time, complete the setup and select 'Start from Scratch' when prompted."
config={"open http://localhost:5678"}
language="bash"
/>
<IntegrationCard
title="3. Add OpenAI Credential"
subtitle="n8n UI → Credentials"
description="Create an OpenAI credential pointing at your exo cluster."
config={n8nCredentialSteps}
/>
<IntegrationCard
title="4. Build a Workflow"
subtitle="n8n UI → Workflows"
description="Create a workflow that uses your exo-powered model."
config={n8nWorkflowSteps}
/>
{:else if activeTab === "Firefox"}
<IntegrationCard
title="Firefox AI Chatbot"
subtitle="about:config"
description="Use the exo dashboard as Firefox's built-in AI chatbot. Requires Firefox 130+."
config={firefoxConfig}
/>
{/if}
</div>
</main>
</div>

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