Compare commits

...

107 Commits

Author SHA1 Message Date
Evan 9f184de322 clean 2026-03-04 18:50:32 +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
225 changed files with 20966 additions and 8722 deletions
+16
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.
+1 -1
View File
@@ -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.
+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
+5 -3
View File
@@ -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,
+19 -30
View File
@@ -16,7 +16,7 @@ class Cache(Protocol):
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: ...
@@ -92,13 +92,14 @@ class _BaseCache(Cache):
values: mx.array
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: ...
@@ -114,15 +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:
...
@@ -132,10 +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:
...
@@ -147,8 +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:
...
@@ -160,18 +155,18 @@ 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 = ...
@@ -183,8 +178,7 @@ 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:
...
@@ -196,8 +190,7 @@ 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: ...
@@ -212,8 +205,7 @@ 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:
...
@@ -227,8 +219,7 @@ 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: ...
@@ -239,8 +230,7 @@ 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, ...]:
...
@@ -253,10 +243,9 @@ 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:
...
@@ -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: ...
+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]: ...
@@ -7,6 +7,15 @@ import mlx.nn as nn
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
Generated
+2220 -1907
View File
File diff suppressed because it is too large Load Diff
+2 -32
View File
@@ -3,7 +3,6 @@ resolver = "3"
members = [
"rust/networking",
"rust/exo_pyo3_bindings",
"rust/util",
]
[workspace.package]
@@ -24,51 +23,22 @@ opt-level = 3
[workspace.dependencies]
## Crate members as common dependencies
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"
+16 -2
View File
@@ -72,16 +72,30 @@ 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
```
+215 -148
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 {
@@ -611,39 +560,115 @@ struct ContentView: View {
}
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> {
@@ -687,16 +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 -1
View File
@@ -21,7 +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() {
@@ -43,12 +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()
}
@@ -62,8 +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)
}
+60 -4
View File
@@ -5,6 +5,8 @@ import Foundation
private let customNamespaceKey = "EXOCustomNamespace"
private let hfTokenKey = "EXOHFToken"
private let enableImageModelsKey = "EXOEnableImageModels"
private let offlineModeKey = "EXOOfflineMode"
private let onboardingCompletedKey = "EXOOnboardingCompleted"
@MainActor
final class ExoProcessController: ObservableObject {
@@ -59,6 +61,17 @@ 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?
@@ -113,6 +126,9 @@ 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")
@@ -126,11 +142,37 @@ 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() {
@@ -138,6 +180,17 @@ 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)))
@@ -223,6 +276,9 @@ final class ExoProcessController: ObservableObject {
if enableImageModels {
environment["EXO_ENABLE_IMAGE_MODELS"] = "true"
}
if offlineMode {
environment["EXO_OFFLINE"] = "true"
}
var paths: [String] = []
if let existing = environment["PATH"], !existing.isEmpty {
+9 -3
View File
@@ -38,7 +38,8 @@ 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)
@@ -60,7 +61,8 @@ struct BugReportService {
ifconfig: ifconfigText,
debugInfo: debugInfo,
isManual: isManual,
clusterTbBridgeStatus: clusterTbBridgeStatus
clusterTbBridgeStatus: clusterTbBridgeStatus,
userDescription: userDescription
)
let eventLogFiles = readAllEventLogs()
@@ -306,7 +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()
@@ -323,6 +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])
}
+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
}
}
}
}
}
+489
View File
@@ -0,0 +1,489 @@
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 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
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 {
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
|| pendingOfflineMode != controller.offlineMode
}
private var hasModelChanges: Bool {
pendingEnableImageModels != controller.enableImageModels
}
private func applyGeneralSettings() {
controller.customNamespace = pendingNamespace
controller.hfToken = pendingHFToken
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
}
}
+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"]
File diff suppressed because it is too large Load Diff
+46 -460
View File
@@ -1,29 +1,48 @@
# 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 time
from collections.abc import Callable
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,
instance_id_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
# Backoff constants for cluster settling retry
_SETTLE_INITIAL_BACKOFF_S = 1.0
_SETTLE_MAX_BACKOFF_S = 60.0
_SETTLE_BACKOFF_MULTIPLIER = 2.0
# Monkey-patch for transformers 5.x compatibility
# Kimi's tokenization_kimi.py imports bytes_to_unicode from the old location
# which was moved in transformers 5.0.0rc2
@@ -56,7 +75,7 @@ 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"],
)
)
@@ -103,154 +122,6 @@ 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:
@@ -269,184 +140,6 @@ 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 run_planning_phase(
client: ExoClient,
full_model_id: str,
preview: dict[str, Any],
danger_delete: bool,
timeout: float,
settle_deadline: float | None,
) -> None:
"""Check disk space and ensure model is downloaded before benchmarking."""
# 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
# Get nodes from preview
inner = unwrap_instance(preview["instance"])
node_ids = list(inner["shardAssignments"]["nodeToRunner"].keys())
runner_to_shard = inner["shardAssignments"]["runnerToShard"]
state = client.request_json("GET", "/state")
downloads = state.get("downloads", {})
node_disk = state.get("nodeDisk", {})
for node_id in node_ids:
node_downloads = downloads.get(node_id, [])
# Check if model already downloaded on this node
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
# Wait for disk info if settle_deadline is set
disk_info = node_disk.get(node_id, {})
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)
state = client.request_json("GET", "/state")
node_disk = state.get("nodeDisk", {})
disk_info = node_disk.get(node_id, {})
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."
)
# Delete from smallest to largest
completed = [
(
unwrap_instance(p["DownloadCompleted"]["shardMetadata"])["modelCard"][
"modelId"
],
p["DownloadCompleted"]["totalBytes"]["inBytes"],
)
for p in node_downloads
if "DownloadCompleted" in p
]
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)
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:
state = client.request_json("GET", "/state")
downloads = state.get("downloads", {})
all_done = True
for node_id in node_ids:
done = any(
"DownloadCompleted" in p
and unwrap_instance(p["DownloadCompleted"]["shardMetadata"])[
"modelCard"
]["modelId"]
== full_model_id
for p in downloads.get(node_id, [])
)
failed = [
p["DownloadFailed"]["errorMessage"]
for p in downloads.get(node_id, [])
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
if all_done:
return
time.sleep(1)
raise TimeoutError("Downloads did not complete in time")
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]:
@@ -538,76 +231,12 @@ class PromptSizer:
return content, tok
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 main() -> int:
ap = argparse.ArgumentParser(
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="+",
@@ -620,34 +249,6 @@ 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="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(
"--repeat", type=int, default=1, help="Repetitions per (pp,tg) pair."
)
@@ -657,9 +258,6 @@ def main() -> 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",
@@ -674,17 +272,6 @@ def main() -> int:
action="store_true",
help="Force all pp×tg combinations (cartesian product) even when lists have equal length.",
)
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.",
)
args = ap.parse_args()
pp_list = parse_int_list(args.pp)
@@ -719,24 +306,10 @@ def main() -> int:
logger.error("[exo-bench] tokenizer usable but prompt sizing failed")
raise
settle_deadline = (
time.monotonic() + args.settle_timeout if args.settle_timeout > 0 else None
selected = settle_and_fetch_placements(
client, full_model_id, args, settle_timeout=args.settle_timeout
)
selected = fetch_and_filter_placements(client, full_model_id, args)
if not selected and settle_deadline:
backoff = _SETTLE_INITIAL_BACKOFF_S
while not selected and time.monotonic() < settle_deadline:
remaining = settle_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)
if not selected:
logger.error("No valid placements matched your filters.")
return 1
@@ -760,8 +333,12 @@ 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...")
run_planning_phase(
download_duration_s = run_planning_phase(
client,
full_model_id,
selected[0],
@@ -769,6 +346,10 @@ def main() -> int:
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")
all_rows: list[dict[str, Any]] = []
@@ -832,6 +413,11 @@ def main() -> int:
"pp_tokens": actual_pp_tokens,
"tg": tg,
"repeat_index": r,
**(
{"download_duration_s": download_duration_s}
if download_duration_s is not None
else {}
),
}
)
runs.append(row)
+489
View File
@@ -0,0 +1,489 @@
# 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 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
raise TimeoutError(f"Instance {instance_id} did not get deleted within {timeout=}")
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") 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
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"]
state = client.request_json("GET", "/state")
downloads = state.get("downloads", {})
node_disk = state.get("nodeDisk", {})
needs_download = False
for node_id in node_ids:
node_downloads = downloads.get(node_id, [])
# Check if model already downloaded on this node
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
# Wait for disk info if settle_deadline is set
disk_info = node_disk.get(node_id, {})
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)
state = client.request_json("GET", "/state")
node_disk = state.get("nodeDisk", {})
disk_info = node_disk.get(node_id, {})
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."
)
# Delete from smallest to largest (skip read-only models from EXO_MODELS_PATH)
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:
state = client.request_json("GET", "/state")
downloads = state.get("downloads", {})
all_done = True
for node_id in node_ids:
done = any(
"DownloadCompleted" in p
and unwrap_instance(p["DownloadCompleted"]["shardMetadata"])[
"modelCard"
]["modelId"]
== full_model_id
for p in downloads.get(node_id, [])
)
failed = [
p["DownloadFailed"]["errorMessage"]
for p in downloads.get(node_id, [])
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
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(
"--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.",
)
+7 -5
View File
@@ -4,11 +4,13 @@ version = "0.1.0"
description = "Benchmarking tool for exo distributed inference"
requires-python = ">=3.13"
dependencies = [
"loguru>=0.7.3",
"transformers>=5.0.0",
"huggingface-hub>=0.33.4",
"tiktoken>=0.12.0",
"jinja2>=3.1.0",
"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",
]
[build-system]
+306
View File
@@ -0,0 +1,306 @@
# 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?"
+189
View File
@@ -0,0 +1,189 @@
# 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))"]
+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;
}
}
+125 -249
View File
@@ -7,13 +7,12 @@
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";
@@ -28,6 +27,19 @@
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 {
@@ -38,6 +50,10 @@
showModelSelector = false,
modelTasks = {},
modelCapabilities = {},
onSend,
onAutoSend,
onOpenModelPicker,
modelDisplayOverride,
}: Props = $props();
let message = $state("");
@@ -48,27 +64,12 @@
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"]);
@@ -103,7 +104,7 @@
const modelSupportsThinking = $derived(() => {
if (!currentModel) return false;
const caps = modelCapabilities[currentModel] || [];
return caps.includes("thinking") && caps.includes("text");
return caps.includes("thinking_toggle") && caps.includes("text");
});
const isEditOnlyWithoutImage = $derived(
@@ -121,73 +122,14 @@
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;
@@ -274,6 +216,15 @@
uploadedFiles = [];
resetTextareaHeight();
// When onAutoSend is provided, the parent controls all send logic
// (including launching non-running models before sending)
if (onAutoSend) {
onAutoSend(content, files);
onSend?.();
setTimeout(() => textareaRef?.focus(), 10);
return;
}
// Use image editing if in edit mode
if (isEditMode && currentEditingImage && content) {
editImage(content, currentEditingImage.imageDataUrl);
@@ -305,6 +256,8 @@
);
}
onSend?.();
// Refocus the textarea after sending
setTimeout(() => textareaRef?.focus(), 10);
}
@@ -415,7 +368,7 @@
{/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"
>
@@ -424,33 +377,22 @@
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"
@@ -467,78 +409,6 @@
</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()}
@@ -653,86 +523,92 @@
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 -->
@@ -3,16 +3,17 @@
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 {
@@ -25,6 +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;
@@ -428,6 +430,9 @@
{: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"
@@ -802,8 +807,8 @@
>
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}
@@ -818,6 +823,7 @@
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"
@@ -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}
+29 -29
View File
@@ -2,7 +2,6 @@
import {
conversations,
activeConversationId,
createConversation,
loadConversation,
deleteConversation,
deleteAllConversations,
@@ -17,9 +16,15 @@
interface Props {
class?: string;
onNewChat?: () => void;
onSelectConversation?: () => void;
}
let { class: className = "" }: Props = $props();
let {
class: className = "",
onNewChat,
onSelectConversation,
}: Props = $props();
const conversationList = $derived(conversations());
const activeId = $derived(activeConversationId());
@@ -42,10 +47,11 @@
);
function handleNewChat() {
createConversation();
onNewChat?.();
}
function handleSelectConversation(id: string) {
onSelectConversation?.();
loadConversation(id);
}
@@ -185,11 +191,7 @@
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 {
@@ -307,7 +309,7 @@
<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 +378,37 @@
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>
@@ -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}
+65 -20
View File
@@ -6,6 +6,10 @@
export let showSidebarToggle = false;
export let sidebarVisible = true;
export let onToggleSidebar: (() => void) | null = null;
export let downloadProgress: {
count: number;
percentage: number;
} | null = null;
function handleHome(): void {
if (onHome) {
@@ -33,13 +37,17 @@
<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"
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"
title={sidebarVisible ? "Hide sidebar" : "Show sidebar"}
aria-label={sidebarVisible
? "Hide conversation sidebar"
: "Show conversation sidebar"}
aria-pressed={sidebarVisible}
>
<svg
class="w-5 h-5 {sidebarVisible
? 'text-exo-yellow'
: 'text-exo-medium-gray'}"
: 'text-exo-light-gray'}"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
@@ -75,18 +83,19 @@
<img
src="/exo-logo.png"
alt="EXO"
class="h-18 drop-shadow-[0_0_20px_rgba(255,215,0,0.5)]"
class="h-18 drop-shadow-[0_0_4px_rgba(255,215,0,0.3)]"
/>
</button>
<!-- Right: Home + Downloads -->
<div
<nav
class="absolute right-6 top-1/2 -translate-y-1/2 flex items-center gap-4"
aria-label="Main navigation"
>
{#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="text-sm text-white/70 hover:text-exo-yellow transition-colors tracking-wider uppercase flex items-center gap-2 cursor-pointer"
title="Back to topology view"
>
<svg
@@ -107,23 +116,59 @@
{/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-sm text-white/70 hover:text-exo-yellow transition-colors tracking-wider uppercase flex items-center gap-2 cursor-pointer"
title="View downloads overview"
>
<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 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}
Downloads
</a>
</div>
</nav>
</header>
@@ -26,7 +26,8 @@
downloadedOnNodes = [],
}: HuggingFaceResultItemProps = $props();
function formatNumber(num: number): string {
function formatNumber(num: number | undefined): string {
if (num == null) return "0";
if (num >= 1000000) {
return `${(num / 1000000).toFixed(1)}M`;
} else if (num >= 1000) {
@@ -59,13 +59,14 @@
}
const sizeOptions: ImageGenerationParams["size"][] = [
"auto",
"512x512",
"768x768",
"1024x1024",
"1024x768",
"768x1024",
"1024x1365",
"1365x1024",
"1024x1536",
"1536x1024",
];
const qualityOptions: ImageGenerationParams["quality"][] = [
@@ -176,92 +177,90 @@
<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">
@@ -311,7 +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;"
>
+29 -3
View File
@@ -21,7 +21,7 @@
} | null;
nodes?: Record<string, NodeInfo>;
sharding?: "Pipeline" | "Tensor";
runtime?: "MlxRing" | "MlxIbv" | "MlxJaccl";
runtime?: "MlxRing" | "MlxJaccl";
onLaunch?: () => void;
tags?: string[];
apiPreview?: PlacementPreview | null;
@@ -348,7 +348,7 @@
// 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 {
@@ -567,20 +567,46 @@
<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 -->
{#if isDownloading && progress}
<div class="mb-2 space-y-1">
<div class="flex items-center justify-between text-xs font-mono">
<span class="text-blue-400 tracking-wider uppercase">Downloading</span
>
<span class="text-white/60"
>{percentage.toFixed(1)}% &middot; {formatSpeed(progress.speed)}
&middot; {formatEta(progress.etaMs)}</span
>
</div>
<div class="h-1 bg-exo-medium-gray/30 rounded overflow-hidden">
<div
class="h-full bg-blue-500/70 transition-all duration-300"
style="width: {percentage}%"
></div>
</div>
</div>
{/if}
<!-- Mini Topology Preview -->
{#if placementPreview().nodes.length > 0}
{@const preview = placementPreview()}
@@ -6,6 +6,7 @@
capabilities: string[];
sizeRange: { min: number; max: number } | null;
downloadedOnly: boolean;
readyOnly: boolean;
}
type ModelFilterPopoverProps = {
@@ -190,34 +191,58 @@
</div>
</div>
<!-- Downloaded only -->
<!-- Availability filters -->
<div>
<h4 class="text-xs font-mono text-white/50 mb-2">Availability</h4>
<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"
<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 })}
>
<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>
<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 -->
@@ -41,6 +41,7 @@
onShowInfo: (group: ModelGroup) => void;
downloadStatusMap?: Map<string, DownloadAvailability>;
launchedAt?: number;
instanceStatuses?: Record<string, { status: string; statusClass: string }>;
};
let {
@@ -56,6 +57,7 @@
onShowInfo,
downloadStatusMap,
launchedAt,
instanceStatuses = {},
}: ModelPickerGroupProps = $props();
// Group-level download status: show if any variant is downloaded
@@ -92,6 +94,12 @@
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) {
@@ -122,16 +130,35 @@
!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
class="border-b border-white/5 last:border-b-0 {!anyVariantFits
class="border-b border-white/5 last:border-b-0 {!anyVariantFits &&
!anyVariantHasInstance
? 'opacity-50'
: ''}"
>
<!-- Main row -->
<div
class="flex items-center gap-2 px-3 py-2.5 transition-colors {anyVariantFits
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'
@@ -141,7 +168,7 @@
onToggleExpand();
} else {
const modelId = group.variants[0]?.id;
if (modelId && canModelFit(modelId)) {
if (modelId && (canModelFit(modelId) || instanceStatuses[modelId])) {
onSelectModel(modelId);
}
}
@@ -155,7 +182,7 @@
onToggleExpand();
} else {
const modelId = group.variants[0]?.id;
if (modelId && canModelFit(modelId)) {
if (modelId && (canModelFit(modelId) || instanceStatuses[modelId])) {
onSelectModel(modelId);
}
}
@@ -346,6 +373,47 @@
</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
@@ -420,20 +488,30 @@
{#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}
<button
type="button"
class="w-full flex items-center gap-3 px-3 py-2 pl-10 hover:bg-white/5 transition-colors text-left {!modelCanFit
<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'}"
disabled={!modelCanFit}
role="button"
tabindex="0"
onclick={() => {
if (modelCanFit) {
if (modelCanFit || variantHasInstance) {
onSelectModel(variant.id);
}
}}
onkeydown={(e) => {
if (e.key === "Enter" || e.key === " ") {
e.preventDefault();
if (modelCanFit) {
onSelectModel(variant.id);
}
}
}}
>
<!-- Quantization badge -->
<span
@@ -478,6 +556,48 @@
{/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
@@ -490,7 +610,36 @@
/>
</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({
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}
@@ -36,6 +36,7 @@
capabilities: string[];
sizeRange: { min: number; max: number } | null;
downloadedOnly: boolean;
readyOnly: boolean;
}
interface HuggingFaceModel {
@@ -49,6 +50,11 @@
type ModelFitStatus = "fits_now" | "fits_cluster_capacity" | "too_large";
export type InstanceStatus = {
status: string;
statusClass: string;
};
type ModelPickerModalProps = {
isOpen: boolean;
models: ModelInfo[];
@@ -75,6 +81,7 @@
macmon_info?: { memory?: { ram_total?: number } };
}
>;
instanceStatuses?: Record<string, InstanceStatus>;
};
let {
@@ -96,6 +103,7 @@
usedMemoryGB,
downloadsData,
topologyNodes,
instanceStatuses = {},
}: ModelPickerModalProps = $props();
// Local state
@@ -107,6 +115,7 @@
capabilities: [],
sizeRange: null,
downloadedOnly: false,
readyOnly: false,
});
let infoGroup = $state<ModelGroup | null>(null);
@@ -440,6 +449,16 @@
);
}
// Filter to ready/running models only
if (filters.readyOnly) {
result = result.filter((g) =>
g.variants.some((v) => {
const s = instanceStatuses[v.id];
return s && s.statusClass === "ready";
}),
);
}
// Sort: fits-now first, then fits-cluster-capacity, then too-large
result.sort((a, b) => {
const getGroupFitRank = (group: ModelGroup): number => {
@@ -512,6 +531,18 @@
);
});
// Split filtered groups into recommended (fits_now) and others for visual separation
const recommendedGroups = $derived(
filteredGroups.filter((g) =>
g.variants.some((v) => getModelFitStatus(v.id) === "fits_now"),
),
);
const otherGroups = $derived(
filteredGroups.filter(
(g) => !g.variants.some((v) => getModelFitStatus(v.id) === "fits_now"),
),
);
function toggleGroupExpanded(groupId: string) {
const next = new Set(expandedGroups);
if (next.has(groupId)) {
@@ -538,13 +569,19 @@
}
function clearFilters() {
filters = { capabilities: [], sizeRange: null, downloadedOnly: false };
filters = {
capabilities: [],
sizeRange: null,
downloadedOnly: false,
readyOnly: false,
};
}
const hasActiveFilters = $derived(
filters.capabilities.length > 0 ||
filters.sizeRange !== null ||
filters.downloadedOnly,
filters.downloadedOnly ||
filters.readyOnly,
);
</script>
@@ -813,6 +850,7 @@
onShowInfo={(g) => (infoGroup = g)}
downloadStatusMap={getVariantDownloadMap(group)}
launchedAt={recentTimestamps.get(group.variants[0]?.id ?? "")}
{instanceStatuses}
/>
{/each}
{/if}
@@ -840,7 +878,34 @@
{/if}
</div>
{:else}
{#each filteredGroups as group}
<!-- Recommended for your cluster -->
{#if recommendedGroups.length > 0 && otherGroups.length > 0 && !searchQuery.trim()}
<div
class="sticky top-0 z-10 flex items-center gap-2 px-3 py-2 bg-green-950/60 border-b border-green-500/20 backdrop-blur-sm"
>
<svg
class="w-3.5 h-3.5 text-green-400 flex-shrink-0"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M9 12.75L11.25 15 15 9.75M21 12a9 9 0 11-18 0 9 9 0 0118 0z"
/>
</svg>
<span
class="text-xs font-mono text-green-400 tracking-wider uppercase"
>Recommended for your cluster</span
>
<span class="text-xs font-mono text-green-400/50"
>— fits in available memory</span
>
</div>
{/if}
{#each recommendedGroups as group}
<ModelPickerGroup
{group}
isExpanded={expandedGroups.has(group.id)}
@@ -853,6 +918,34 @@
{onToggleFavorite}
onShowInfo={(g) => (infoGroup = g)}
downloadStatusMap={getVariantDownloadMap(group)}
{instanceStatuses}
/>
{/each}
<!-- Other models -->
{#if otherGroups.length > 0 && recommendedGroups.length > 0 && !searchQuery.trim()}
<div
class="sticky top-0 z-10 flex items-center gap-2 px-3 py-2 bg-exo-dark-gray/80 border-y border-exo-medium-gray/20 backdrop-blur-sm"
>
<span
class="text-xs font-mono text-white/40 tracking-wider uppercase"
>Other models</span
>
</div>
{/if}
{#each otherGroups as group}
<ModelPickerGroup
{group}
isExpanded={expandedGroups.has(group.id)}
isFavorite={favorites.has(group.id)}
{selectedModelId}
{canModelFit}
{getModelFitStatus}
onToggleExpand={() => toggleGroupExpanded(group.id)}
onSelectModel={handleSelect}
{onToggleFavorite}
onShowInfo={(g) => (infoGroup = g)}
downloadStatusMap={getVariantDownloadMap(group)}
{instanceStatuses}
/>
{/each}
{/if}
@@ -875,6 +968,11 @@
>Downloaded</span
>
{/if}
{#if filters.readyOnly}
<span class="px-1.5 py-0.5 bg-green-500/20 text-green-400 rounded"
>Ready</span
>
{/if}
{#if filters.sizeRange}
<span class="px-1.5 py-0.5 bg-exo-yellow/20 text-exo-yellow rounded">
{filters.sizeRange.min}GB - {filters.sizeRange.max}GB
@@ -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>
+1
View File
@@ -12,3 +12,4 @@ 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";
+199 -41
View File
@@ -168,7 +168,7 @@ export interface ModelDownloadStatus {
export interface PlacementPreview {
model_id: string;
sharding: "Pipeline" | "Tensor";
instance_meta: "MlxRing" | "MlxIbv" | "MlxJaccl";
instance_meta: "MlxRing" | "MlxJaccl";
instance: unknown | null;
memory_delta_by_node: Record<string, number> | null;
error: string | null;
@@ -219,7 +219,6 @@ interface RawStateResponse {
string,
{
MlxRingInstance?: Instance;
MlxIbvInstance?: Instance;
MlxJacclInstance?: Instance;
}
>;
@@ -250,6 +249,11 @@ interface RawStateResponse {
>;
// Thunderbolt bridge cycles (nodes with bridge enabled forming loops)
thunderboltBridgeCycles?: string[][];
// Disk usage per node
nodeDisk?: Record<
string,
{ total: { inBytes: number }; available: { inBytes: number } }
>;
}
export interface MessageAttachment {
@@ -273,6 +277,13 @@ export interface TokenData {
topLogprobs: TopLogprob[];
}
export interface PrefillProgress {
processed: number;
total: number;
/** Timestamp (performance.now()) when prefill started. */
startedAt: number;
}
export interface Message {
id: string;
role: "user" | "assistant" | "system";
@@ -306,13 +317,14 @@ const IMAGE_PARAMS_STORAGE_KEY = "exo-image-generation-params";
export interface ImageGenerationParams {
// Basic params
size:
| "auto"
| "512x512"
| "768x768"
| "1024x1024"
| "1024x768"
| "768x1024"
| "1024x1365"
| "1365x1024";
| "1024x1536"
| "1536x1024";
quality: "low" | "medium" | "high";
outputFormat: "png" | "jpeg";
numImages: number;
@@ -336,7 +348,7 @@ export interface EditingImage {
}
const DEFAULT_IMAGE_PARAMS: ImageGenerationParams = {
size: "1024x1024",
size: "auto",
quality: "medium",
outputFormat: "png",
numImages: 1,
@@ -519,6 +531,10 @@ class AppStore {
ttftMs = $state<number | null>(null); // Time to first token in ms
tps = $state<number | null>(null); // Tokens per second
totalTokens = $state<number>(0); // Total tokens in current response
prefillProgress = $state<PrefillProgress | null>(null);
// Abort controller for stopping generation
private currentAbortController: AbortController | null = null;
// Topology state
topologyData = $state<TopologyData | null>(null);
@@ -573,6 +589,12 @@ class AppStore {
// Image editing state
editingImage = $state<EditingImage | null>(null);
/** True when the backend is reachable. */
isConnected = $state<boolean>(true);
/** Number of consecutive fetch failures. */
private consecutiveFailures = 0;
private static readonly CONNECTION_LOST_THRESHOLD = 3;
private fetchInterval: ReturnType<typeof setInterval> | null = null;
private previewsInterval: ReturnType<typeof setInterval> | null = null;
private lastConversationPersistTs = 0;
@@ -825,6 +847,10 @@ class AppStore {
this.thinkingEnabled = conversation.enableThinking ?? true;
this.refreshConversationModelFromInstances();
// Sync global selection to the loaded conversation's model so reactive
// effects in +page.svelte can determine the correct chat launch state.
this.selectedChatModel = conversation.modelId || "";
return true;
}
@@ -895,11 +921,7 @@ class AppStore {
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 {
@@ -1278,7 +1300,19 @@ class AppStore {
// Thunderbolt bridge status per node
this.nodeThunderboltBridge = data.nodeThunderboltBridge ?? {};
this.lastUpdate = Date.now();
// Connection recovered
if (!this.isConnected) {
this.isConnected = true;
}
this.consecutiveFailures = 0;
} catch (error) {
this.consecutiveFailures++;
if (
this.consecutiveFailures >= AppStore.CONNECTION_LOST_THRESHOLD &&
this.isConnected
) {
this.isConnected = false;
}
console.error("Error fetching state:", error);
}
}
@@ -1642,11 +1676,12 @@ class AppStore {
if (!reader) throw new Error("No response body");
let fullContent = prefixText;
let streamedThinking = "";
const collectedTokens: TokenData[] = [...tokensToKeep];
interface ChatCompletionChunk {
choices?: Array<{
delta?: { content?: string };
delta?: { content?: string; reasoning_content?: string };
logprobs?: {
content?: Array<{
token: string;
@@ -1667,6 +1702,7 @@ class AppStore {
(parsed) => {
const choice = parsed.choices?.[0];
const delta = choice?.delta?.content;
const thinkingDelta = choice?.delta?.reasoning_content;
// Collect logprobs data
const logprobsContent = choice?.logprobs?.content;
@@ -1685,7 +1721,11 @@ class AppStore {
}
}
if (delta) {
if (thinkingDelta) {
streamedThinking += thinkingDelta;
}
if (delta || thinkingDelta) {
if (firstTokenTime === null) {
firstTokenTime = performance.now();
this.ttftMs = firstTokenTime - requestStartTime;
@@ -1699,9 +1739,14 @@ class AppStore {
this.tps = ((tokenCount - tokensToKeep.length) / elapsed) * 1000;
}
fullContent += delta;
const { displayContent, thinkingContent } =
if (delta) {
fullContent += delta;
}
const { displayContent, thinkingContent: tagThinking } =
this.stripThinkingTags(fullContent);
const combinedThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
if (this.activeConversationId === targetConversationId) {
this.currentResponse = displayContent;
@@ -1713,7 +1758,7 @@ class AppStore {
messageId,
(m) => {
m.content = displayContent;
m.thinking = thinkingContent || undefined;
m.thinking = combinedThinking || undefined;
m.tokens = [...collectedTokens];
},
);
@@ -1725,11 +1770,14 @@ class AppStore {
// Final update
if (this.conversationExists(targetConversationId)) {
const { displayContent, thinkingContent } =
const { displayContent, thinkingContent: tagThinking } =
this.stripThinkingTags(fullContent);
const finalThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
this.updateConversationMessage(targetConversationId, messageId, (m) => {
m.content = displayContent;
m.thinking = thinkingContent || undefined;
m.thinking = finalThinking || undefined;
m.tokens = [...collectedTokens];
if (this.ttftMs !== null) m.ttftMs = this.ttftMs;
if (this.tps !== null) m.tps = this.tps;
@@ -1805,7 +1853,7 @@ class AppStore {
assistantMessage.id,
(msg) => {
msg.content =
"Error: No model available. Please launch an instance first.";
"No model is loaded yet. Select a model from the sidebar to get started — it will download and load automatically.";
},
);
this.syncActiveMessagesIfNeeded(targetConversationId);
@@ -1837,11 +1885,12 @@ class AppStore {
}
let streamedContent = "";
let streamedThinking = "";
const collectedTokens: TokenData[] = [];
interface ChatCompletionChunk {
choices?: Array<{
delta?: { content?: string };
delta?: { content?: string; reasoning_content?: string };
logprobs?: {
content?: Array<{
token: string;
@@ -1862,6 +1911,7 @@ class AppStore {
(parsed) => {
const choice = parsed.choices?.[0];
const delta = choice?.delta?.content;
const thinkingDelta = choice?.delta?.reasoning_content;
// Collect logprobs data
const logprobsContent = choice?.logprobs?.content;
@@ -1880,10 +1930,19 @@ class AppStore {
}
}
if (delta) {
streamedContent += delta;
const { displayContent, thinkingContent } =
if (thinkingDelta) {
streamedThinking += thinkingDelta;
}
if (delta || thinkingDelta) {
if (delta) {
streamedContent += delta;
}
const { displayContent, thinkingContent: tagThinking } =
this.stripThinkingTags(streamedContent);
const combinedThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
// Only update currentResponse if target conversation is active
if (this.activeConversationId === targetConversationId) {
@@ -1896,7 +1955,7 @@ class AppStore {
assistantMessage.id,
(msg) => {
msg.content = displayContent;
msg.thinking = thinkingContent || undefined;
msg.thinking = combinedThinking || undefined;
msg.tokens = [...collectedTokens];
},
);
@@ -1908,14 +1967,17 @@ class AppStore {
// Final cleanup of the message (if conversation still exists)
if (this.conversationExists(targetConversationId)) {
const { displayContent, thinkingContent } =
const { displayContent, thinkingContent: tagThinking } =
this.stripThinkingTags(streamedContent);
const finalThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
this.updateConversationMessage(
targetConversationId,
assistantMessage.id,
(msg) => {
msg.content = displayContent;
msg.thinking = thinkingContent || undefined;
msg.thinking = finalThinking || undefined;
msg.tokens = [...collectedTokens];
},
);
@@ -2004,6 +2066,7 @@ class AppStore {
reader: ReadableStreamDefaultReader<Uint8Array>,
targetConversationId: string,
onChunk: (parsed: T) => void,
onEvent?: Record<string, (data: unknown) => void>,
): Promise<void> {
const decoder = new TextDecoder();
let buffer = "";
@@ -2024,6 +2087,24 @@ class AppStore {
const trimmed = line.trim();
if (!trimmed) continue;
// Handle SSE comments (": key json") for prefill progress etc.
if (trimmed.startsWith(": ") && onEvent) {
const comment = trimmed.slice(2);
const spaceIdx = comment.indexOf(" ");
if (spaceIdx > 0) {
const key = comment.slice(0, spaceIdx);
if (onEvent[key]) {
try {
const parsed = JSON.parse(comment.slice(spaceIdx + 1));
onEvent[key](parsed);
} catch {
// Skip malformed JSON in comment
}
}
}
continue;
}
if (trimmed.startsWith("data: ")) {
const data = trimmed.slice(6);
if (data === "[DONE]") continue;
@@ -2243,7 +2324,7 @@ class AppStore {
const modelToUse = this.getModelForRequest();
if (!modelToUse) {
throw new Error(
"No model selected and no running instances available. Please launch an instance first.",
"No model is loaded yet. Select a model from the sidebar to get started — it will download and load automatically.",
);
}
@@ -2255,6 +2336,9 @@ class AppStore {
let firstTokenTime: number | null = null;
let tokenCount = 0;
const abortController = new AbortController();
this.currentAbortController = abortController;
const response = await fetch("/v1/chat/completions", {
method: "POST",
headers: {
@@ -2271,6 +2355,7 @@ class AppStore {
enable_thinking: enableThinking,
}),
}),
signal: abortController.signal,
});
if (!response.ok) {
@@ -2284,10 +2369,11 @@ class AppStore {
}
let streamedContent = "";
let streamedThinking = "";
interface ChatCompletionChunk {
choices?: Array<{
delta?: { content?: string };
delta?: { content?: string; reasoning_content?: string };
logprobs?: {
content?: Array<{
token: string;
@@ -2308,8 +2394,14 @@ class AppStore {
reader,
targetConversationId,
(parsed) => {
// Clear prefill progress when first token data arrives
if (this.prefillProgress) {
this.prefillProgress = null;
}
const choice = parsed.choices?.[0];
const tokenContent = choice?.delta?.content;
const thinkingContent = choice?.delta?.reasoning_content;
// Collect logprobs data
const logprobsContent = choice?.logprobs?.content;
@@ -2328,7 +2420,11 @@ class AppStore {
}
}
if (tokenContent) {
if (thinkingContent) {
streamedThinking += thinkingContent;
}
if (tokenContent || thinkingContent) {
// Track first token for TTFT
if (firstTokenTime === null) {
firstTokenTime = performance.now();
@@ -2345,11 +2441,16 @@ class AppStore {
this.tps = (tokenCount / elapsed) * 1000;
}
streamedContent += tokenContent;
if (tokenContent) {
streamedContent += tokenContent;
}
// Strip thinking tags for display and extract thinking content
const { displayContent, thinkingContent } =
// Use stripThinkingTags as fallback for any <think> tags still in content
const { displayContent, thinkingContent: tagThinking } =
this.stripThinkingTags(streamedContent);
const combinedThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
// Only update currentResponse if target conversation is active
if (this.activeConversationId === targetConversationId) {
@@ -2362,7 +2463,7 @@ class AppStore {
assistantMessage.id,
(msg) => {
msg.content = displayContent;
msg.thinking = thinkingContent || undefined;
msg.thinking = combinedThinking || undefined;
msg.tokens = [...collectedTokens];
},
);
@@ -2370,8 +2471,27 @@ class AppStore {
this.persistConversation(targetConversationId);
}
},
{
prefill_progress: (data) => {
// TaggedModel wraps as {"PrefillProgressChunk": {...}}
// model_dump_json() uses snake_case (by_alias defaults to False)
const raw = data as Record<string, unknown>;
const inner = (raw["PrefillProgressChunk"] ?? raw) as {
processed_tokens: number;
total_tokens: number;
};
this.prefillProgress = {
processed: inner.processed_tokens,
total: inner.total_tokens,
startedAt: this.prefillProgress?.startedAt ?? performance.now(),
};
},
},
);
// Clear prefill progress after stream ends
this.prefillProgress = null;
// Calculate final TPS
if (firstTokenTime !== null && tokenCount > 1) {
const totalGenerationTime = performance.now() - firstTokenTime;
@@ -2380,14 +2500,17 @@ class AppStore {
// Final cleanup of the message (if conversation still exists)
if (this.conversationExists(targetConversationId)) {
const { displayContent, thinkingContent } =
const { displayContent, thinkingContent: tagThinking } =
this.stripThinkingTags(streamedContent);
const finalThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
this.updateConversationMessage(
targetConversationId,
assistantMessage.id,
(msg) => {
msg.content = displayContent;
msg.thinking = thinkingContent || undefined;
msg.thinking = finalThinking || undefined;
msg.tokens = [...collectedTokens];
// Store performance metrics on the message
if (this.ttftMs !== null) {
@@ -2402,20 +2525,31 @@ class AppStore {
this.persistConversation(targetConversationId);
}
} catch (error) {
console.error("Error sending message:", error);
this.handleStreamingError(
error,
targetConversationId,
assistantMessage.id,
"Failed to get response",
);
if (error instanceof DOMException && error.name === "AbortError") {
// User stopped generation — not an error
} else {
console.error("Error sending message:", error);
this.handleStreamingError(
error,
targetConversationId,
assistantMessage.id,
"Failed to get response",
);
}
} finally {
this.currentAbortController = null;
this.prefillProgress = null;
this.isLoading = false;
this.currentResponse = "";
this.saveConversationsToStorage();
}
}
stopGeneration(): void {
this.currentAbortController?.abort();
this.currentAbortController = null;
}
/**
* Generate an image using the image generation API
*/
@@ -3024,6 +3158,23 @@ class AppStore {
return (await response.json()) as TraceStatsResponse;
}
/**
* Delete traces by task IDs
*/
async deleteTraces(
taskIds: string[],
): Promise<{ deleted: string[]; notFound: string[] }> {
const response = await fetch("/v1/traces/delete", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ taskIds }),
});
if (!response.ok) {
throw new Error(`Failed to delete traces: ${response.status}`);
}
return await response.json();
}
/**
* Get the URL for the raw trace file (for Perfetto)
*/
@@ -3042,6 +3193,7 @@ export const isLoading = () => appStore.isLoading;
export const ttftMs = () => appStore.ttftMs;
export const tps = () => appStore.tps;
export const totalTokens = () => appStore.totalTokens;
export const prefillProgress = () => appStore.prefillProgress;
export const topologyData = () => appStore.topologyData;
export const instances = () => appStore.instances;
export const runners = () => appStore.runners;
@@ -3059,6 +3211,7 @@ export const topologyOnlyMode = () => appStore.getTopologyOnlyMode();
export const chatSidebarVisible = () => appStore.getChatSidebarVisible();
// Actions
export const stopGeneration = () => appStore.stopGeneration();
export const startChat = () => appStore.startChat();
export const sendMessage = (
content: string,
@@ -3131,6 +3284,9 @@ export const setChatSidebarVisible = (visible: boolean) =>
appStore.setChatSidebarVisible(visible);
export const refreshState = () => appStore.fetchState();
// Connection status
export const isConnected = () => appStore.isConnected;
// Node identities (for OS version mismatch detection)
export const nodeIdentities = () => appStore.nodeIdentities;
@@ -3162,3 +3318,5 @@ export const fetchTraceStats = (taskId: string) =>
appStore.fetchTraceStats(taskId);
export const getTraceRawUrl = (taskId: string) =>
appStore.getTraceRawUrl(taskId);
export const deleteTraces = (taskIds: string[]) =>
appStore.deleteTraces(taskIds);
+87
View File
@@ -0,0 +1,87 @@
/**
* Toast notification store - Global notification system for the EXO dashboard.
*
* Usage:
* import { addToast, dismissToast, toasts } from "$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()}-${Math.random().toString(36).slice(2, 8)}`;
}
export function addToast(input: ToastInput): string {
const id = generateId();
const duration = input.persistent
? 0
: (input.duration ?? DEFAULT_DURATIONS[input.type]);
const toast: Toast = {
id,
type: input.type,
message: input.message,
duration,
createdAt: Date.now(),
};
toastList = [...toastList, toast];
if (duration > 0) {
const timer = setTimeout(() => dismissToast(id), duration);
timers.set(id, timer);
}
return id;
}
export function dismissToast(id: string): void {
const timer = timers.get(id);
if (timer) {
clearTimeout(timer);
timers.delete(id);
}
toastList = toastList.filter((t) => t.id !== id);
}
/** Dismiss all toasts matching a message (useful for dedup). */
export function dismissByMessage(message: string): void {
const matching = toastList.filter((t) => t.message === message);
for (const t of matching) {
dismissToast(t.id);
}
}
export function toasts(): Toast[] {
return toastList;
}
+4
View File
@@ -1,5 +1,7 @@
<script lang="ts">
import "../app.css";
import ToastContainer from "$lib/components/ToastContainer.svelte";
import ConnectionBanner from "$lib/components/ConnectionBanner.svelte";
let { children } = $props();
</script>
@@ -10,5 +12,7 @@
</svelte:head>
<div class="min-h-screen bg-background text-foreground">
<ConnectionBanner />
{@render children?.()}
<ToastContainer />
</div>
File diff suppressed because it is too large Load Diff
File diff suppressed because it is too large Load Diff
+90 -3
View File
@@ -3,6 +3,7 @@
import {
listTraces,
getTraceRawUrl,
deleteTraces,
type TraceListItem,
} from "$lib/stores/app.svelte";
import HeaderNav from "$lib/components/HeaderNav.svelte";
@@ -10,6 +11,51 @@
let traces = $state<TraceListItem[]>([]);
let loading = $state(true);
let error = $state<string | null>(null);
let selectedIds = $state<Set<string>>(new Set());
let deleting = $state(false);
let allSelected = $derived(
traces.length > 0 && selectedIds.size === traces.length,
);
function toggleSelect(taskId: string) {
const next = new Set(selectedIds);
if (next.has(taskId)) {
next.delete(taskId);
} else {
next.add(taskId);
}
selectedIds = next;
}
function toggleSelectAll() {
if (allSelected) {
selectedIds = new Set();
} else {
selectedIds = new Set(traces.map((t) => t.taskId));
}
}
async function handleDelete() {
if (selectedIds.size === 0) return;
const count = selectedIds.size;
if (
!confirm(
`Delete ${count} trace${count === 1 ? "" : "s"}? This cannot be undone.`,
)
)
return;
deleting = true;
try {
await deleteTraces([...selectedIds]);
selectedIds = new Set();
await refresh();
} catch (e) {
error = e instanceof Error ? e.message : "Failed to delete traces";
} finally {
deleting = false;
}
}
function formatBytes(bytes: number): string {
if (!bytes || bytes <= 0) return "0B";
@@ -109,6 +155,16 @@
</h1>
</div>
<div class="flex items-center gap-3">
{#if selectedIds.size > 0}
<button
type="button"
class="text-xs font-mono text-red-400 hover:text-red-300 transition-colors uppercase border border-red-500/40 px-2 py-1 rounded"
onclick={handleDelete}
disabled={deleting}
>
{deleting ? "Deleting..." : `Delete (${selectedIds.size})`}
</button>
{/if}
<button
type="button"
class="text-xs font-mono text-exo-light-gray hover:text-exo-yellow transition-colors uppercase border border-exo-medium-gray/40 px-2 py-1 rounded"
@@ -143,14 +199,41 @@
</div>
{:else}
<div class="space-y-3">
<div class="flex items-center gap-2 px-1">
<button
type="button"
class="text-xs font-mono uppercase transition-colors {allSelected
? 'text-exo-yellow'
: 'text-exo-light-gray hover:text-exo-yellow'}"
onclick={toggleSelectAll}
>
{allSelected ? "Deselect all" : "Select all"}
</button>
</div>
{#each traces as trace}
{@const isSelected = selectedIds.has(trace.taskId)}
<!-- svelte-ignore a11y_no_static_element_interactions -->
<div
class="rounded border border-exo-medium-gray/30 bg-exo-black/30 p-4 flex items-center justify-between gap-4"
role="button"
tabindex="0"
class="w-full text-left rounded border-l-2 border-r border-t border-b transition-all p-4 flex items-center justify-between gap-4 cursor-pointer {isSelected
? 'bg-exo-yellow/10 border-l-exo-yellow border-r-exo-medium-gray/30 border-t-exo-medium-gray/30 border-b-exo-medium-gray/30'
: 'bg-exo-black/30 border-l-transparent border-r-exo-medium-gray/30 border-t-exo-medium-gray/30 border-b-exo-medium-gray/30 hover:bg-white/[0.03]'}"
onclick={() => toggleSelect(trace.taskId)}
onkeydown={(e) => {
if (e.key === "Enter" || e.key === " ") {
e.preventDefault();
toggleSelect(trace.taskId);
}
}}
>
<div class="min-w-0 flex-1">
<a
href="#/traces/{trace.taskId}"
class="text-sm font-mono text-white hover:text-exo-yellow transition-colors truncate block"
class="text-sm font-mono transition-colors truncate block {isSelected
? 'text-exo-yellow'
: 'text-white hover:text-exo-yellow'}"
onclick={(e) => e.stopPropagation()}
>
{trace.taskId}
</a>
@@ -160,7 +243,11 @@
)}
</div>
</div>
<div class="flex items-center gap-2 shrink-0">
<!-- svelte-ignore a11y_click_events_have_key_events -->
<div
class="flex items-center gap-2 shrink-0"
onclick={(e) => e.stopPropagation()}
>
<a
href="#/traces/{trace.taskId}"
class="text-xs font-mono text-exo-light-gray hover:text-exo-yellow transition-colors uppercase border border-exo-medium-gray/40 px-2 py-1 rounded"
+22
View File
@@ -183,6 +183,27 @@ Same schema as `/v1/chat/completions`.
**Response:**
Chat completion plus benchmarking metrics.
### Cancel Command
**POST** `/v1/cancel/{command_id}`
Cancels an active generation command (text or image). Notifies workers and closes the stream.
**Path parameters:**
* `command_id`: string, ID of the command to cancel
**Response (example):**
```json
{
"message": "Command cancelled.",
"command_id": "cmd-abc-123"
}
```
Returns 404 if the command is not found or already completed.
## 5. Image Generation & Editing
### Image Generation
@@ -266,6 +287,7 @@ GET /v1/models
POST /v1/chat/completions
POST /bench/chat/completions
POST /v1/cancel/{command_id}
POST /v1/images/generations
POST /bench/images/generations
+2 -2
View File
@@ -74,7 +74,6 @@
perSystem =
{ config, self', inputs', pkgs, lib, system, ... }:
let
fenixToolchain = inputs'.fenix.packages.complete;
# Use pinned nixpkgs for swift-format (swift is broken on x86_64-linux in newer nixpkgs)
pkgsSwift = import inputs.nixpkgs-swift { inherit system; };
in
@@ -109,13 +108,14 @@
package = pkgsSwift.swiftPackages.swift-format;
};
shfmt.enable = true;
taplo.enable = true;
};
};
packages = lib.optionalAttrs pkgs.stdenv.hostPlatform.isDarwin (
let
uvLock = builtins.fromTOML (builtins.readFile ./uv.lock);
mlxPackage = builtins.head (builtins.filter (p: p.name == "mlx") uvLock.package);
mlxPackage = builtins.head (builtins.filter (p: p.name == "mlx" && p.source ? git) uvLock.package);
uvLockMlxVersion = mlxPackage.version;
in
{
+5 -5
View File
@@ -41,16 +41,16 @@ let
mlx = stdenv.mkDerivation rec {
pname = "mlx";
version = let v = "0.30.6"; in
version = let v = "0.30.7.dev20260225+257d5692"; in
assert v == uvLockMlxVersion || throw "MLX version mismatch: nix/mlx.nix has ${v} but uv.lock has ${uvLockMlxVersion}. Update both the version and hash in nix/mlx.nix.";
v;
pyproject = true;
src = fetchFromGitHub {
owner = "ml-explore";
repo = "mlx";
tag = "v${version}";
hash = "sha256-avD5EGhwgmPdXLAyQSqTO6AXk/W3ziH+f6AetjK3Sdo=";
owner = "rltakashige";
repo = "mlx-jaccl-fix-small-recv";
rev = "257d5692fc7af6bba3b8afaeb63c549b7d1e43d5";
hash = "sha256-GosFIWxIB48Egb1MqJrR3xhsUsQeWdRk5rV93USY6wQ=";
};
patches = [
Binary file not shown.

After

Width:  |  Height:  |  Size: 6.8 KiB

+112
View File
@@ -0,0 +1,112 @@
#!/usr/bin/env bash
# create-dmg.sh — Build a polished macOS DMG installer for EXO
#
# Usage:
# ./packaging/dmg/create-dmg.sh <app-path> <output-dmg> [volume-name]
#
# Example:
# ./packaging/dmg/create-dmg.sh output/EXO.app EXO-1.0.0.dmg "EXO"
#
# Creates a DMG with:
# - Custom background image with drag-to-Applications arrow
# - App icon on left, Applications alias on right
# - Proper window size and icon positioning
set -euo pipefail
APP_PATH="${1:?Usage: create-dmg.sh <app-path> <output-dmg> [volume-name]}"
OUTPUT_DMG="${2:?Usage: create-dmg.sh <app-path> <output-dmg> [volume-name]}"
VOLUME_NAME="${3:-EXO}"
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
BACKGROUND_SCRIPT="${SCRIPT_DIR}/generate-background.py"
TEMP_DIR="$(mktemp -d)"
DMG_STAGING="${TEMP_DIR}/dmg-root"
TEMP_DMG="${TEMP_DIR}/temp.dmg"
BACKGROUND_PNG="${TEMP_DIR}/background.png"
cleanup() { rm -rf "$TEMP_DIR"; }
trap cleanup EXIT
echo "==> Creating DMG installer for ${VOLUME_NAME}"
# ── Step 1: Generate background image ────────────────────────────────────────
if command -v python3 &>/dev/null; then
python3 "$BACKGROUND_SCRIPT" "$BACKGROUND_PNG"
echo " Background image generated"
else
echo " Warning: python3 not found, skipping custom background"
BACKGROUND_PNG=""
fi
# ── Step 2: Prepare staging directory ─────────────────────────────────────────
mkdir -p "$DMG_STAGING"
cp -R "$APP_PATH" "$DMG_STAGING/"
ln -s /Applications "$DMG_STAGING/Applications"
# ── Step 3: Create writable DMG ──────────────────────────────────────────────
# Calculate required size (app size + 20MB headroom)
APP_SIZE_KB=$(du -sk "$APP_PATH" | cut -f1)
DMG_SIZE_KB=$((APP_SIZE_KB + 20480))
hdiutil create \
-volname "$VOLUME_NAME" \
-size "${DMG_SIZE_KB}k" \
-fs HFS+ \
-layout SPUD \
"$TEMP_DMG"
# ── Step 4: Mount and configure ──────────────────────────────────────────────
MOUNT_DIR=$(hdiutil attach "$TEMP_DMG" -readwrite -noverify | awk -F'\t' '/Apple_HFS/ {gsub(/^[[:space:]]+|[[:space:]]+$/, "", $NF); print $NF}')
echo " Mounted at: $MOUNT_DIR"
# Copy contents
cp -R "$DMG_STAGING/"* "$MOUNT_DIR/"
# Add background image
if [[ -n $BACKGROUND_PNG && -f $BACKGROUND_PNG ]]; then
mkdir -p "$MOUNT_DIR/.background"
cp "$BACKGROUND_PNG" "$MOUNT_DIR/.background/background.png"
fi
# ── Step 5: Configure window appearance via AppleScript ──────────────────────
# Window: 800×400, app icon on left, Applications on right (matches Ollama layout)
# Background image is 1600×740 (2× retina for 800×400 logical window).
APP_NAME="$(basename "$APP_PATH")"
osascript <<APPLESCRIPT
tell application "Finder"
tell disk "$VOLUME_NAME"
open
set current view of container window to icon view
set toolbar visible of container window to false
set statusbar visible of container window to false
set bounds of container window to {200, 120, 1000, 520}
set opts to icon view options of container window
set icon size of opts to 128
set text size of opts to 12
set arrangement of opts to not arranged
if exists file ".background:background.png" then
set background picture of opts to file ".background:background.png"
end if
set position of item "$APP_NAME" of container window to {200, 190}
set position of item "Applications" of container window to {600, 190}
close
open
update without registering applications
delay 1
close
end tell
end tell
APPLESCRIPT
echo " Window layout configured"
# Ensure Finder updates are flushed
sync
# ── Step 6: Finalise ─────────────────────────────────────────────────────────
hdiutil detach "$MOUNT_DIR" -quiet
hdiutil convert "$TEMP_DMG" -format UDZO -imagekey zlib-level=9 -o "$OUTPUT_DMG"
echo "==> DMG created: $OUTPUT_DMG"
echo " Size: $(du -h "$OUTPUT_DMG" | cut -f1)"
+91
View File
@@ -0,0 +1,91 @@
#!/usr/bin/env python3
"""Generate the DMG background image with a centered drag-to-Applications arrow.
The output is a 1600×740 retina PNG (2× for 800×400 logical window).
Icons are positioned at (200, 190) and (600, 190) in logical coordinates;
the arrow is drawn centered between them.
Usage:
python3 generate-background.py [output.png]
If no output path is given, overwrites the bundled background.png in-place.
"""
from __future__ import annotations
import math
import sys
from pathlib import Path
from PIL import Image, ImageDraw
# Retina dimensions (2× logical 800×400)
WIDTH = 1600
HEIGHT = 740
# Icon positions in logical coords → retina coords
# App icon at (200, 190), Applications at (600, 190)
APP_X = 200 * 2 # 400
APPS_X = 600 * 2 # 1200
ICON_Y = 190 * 2 # 380
# Arrow drawn between icons, slightly above icon center
ARROW_START_X = APP_X + 160 # past the icon
ARROW_END_X = APPS_X - 160 # before the Applications icon
ARROW_Y = ICON_Y # same height as icons
ARROW_RISE = 120 # upward arc height
def draw_arrow(draw: ImageDraw.ImageDraw) -> None:
"""Draw a hand-drawn-style curved arrow from app icon toward Applications."""
color = (30, 30, 30)
line_width = 8
# Compute bezier curve points for a gentle upward arc
points: list[tuple[float, float]] = []
steps = 80
for i in range(steps + 1):
t = i / steps
# Quadratic bezier: start → control → end
cx = (ARROW_START_X + ARROW_END_X) / 2
cy = ARROW_Y - ARROW_RISE
x = (1 - t) ** 2 * ARROW_START_X + 2 * (1 - t) * t * cx + t**2 * ARROW_END_X
y = (1 - t) ** 2 * ARROW_Y + 2 * (1 - t) * t * cy + t**2 * ARROW_Y
points.append((x, y))
# Draw the curve as connected line segments
for i in range(len(points) - 1):
draw.line([points[i], points[i + 1]], fill=color, width=line_width)
# Arrowhead at the end
end_x, end_y = points[-1]
# Direction from second-to-last to last point
prev_x, prev_y = points[-3]
angle = math.atan2(end_y - prev_y, end_x - prev_x)
head_len = 36
head_angle = math.radians(25)
left_x = end_x - head_len * math.cos(angle - head_angle)
left_y = end_y - head_len * math.sin(angle - head_angle)
right_x = end_x - head_len * math.cos(angle + head_angle)
right_y = end_y - head_len * math.sin(angle + head_angle)
draw.polygon(
[(end_x, end_y), (left_x, left_y), (right_x, right_y)],
fill=color,
)
def generate_background(output_path: str) -> None:
"""Generate a white DMG background with a centered arrow."""
img = Image.new("RGBA", (WIDTH, HEIGHT), (255, 255, 255, 255))
draw = ImageDraw.Draw(img)
draw_arrow(draw)
img.save(output_path, "PNG")
if __name__ == "__main__":
default_output = str(Path(__file__).parent / "background.png")
out = sys.argv[1] if len(sys.argv) >= 2 else default_output
generate_background(out)
print(f"Background image written to {out}")
+54 -53
View File
@@ -1,35 +1,35 @@
[project]
name = "exo"
version = "0.3.0"
version = "0.3.68"
description = "Exo"
readme = "README.md"
requires-python = ">=3.13"
dependencies = [
"aiofiles>=24.1.0",
"aiohttp>=3.12.14",
"types-aiofiles>=24.1.0.20250708",
"pydantic>=2.11.7",
"fastapi>=0.116.1",
"filelock>=3.18.0",
"rustworkx>=0.17.1",
"huggingface-hub>=0.33.4",
"psutil>=7.0.0",
"loguru>=0.7.3",
"exo_pyo3_bindings", # rust bindings
"anyio==4.11.0",
"mlx==0.30.6; sys_platform == 'darwin'",
"mlx[cpu]==0.30.6; sys_platform == 'linux'",
"mlx-lm==0.30.6",
"tiktoken>=0.12.0", # required for kimi k2 tokenizer
"hypercorn>=0.18.0",
"openai-harmony>=0.0.8",
"httpx>=0.28.1",
"tomlkit>=0.14.0",
"pillow>=11.0,<12.0", # compatibility with mflux
"mflux==0.15.5",
"python-multipart>=0.0.21",
"msgspec>=0.19.0",
"zstandard>=0.23.0",
"aiofiles>=24.1.0",
"aiohttp>=3.12.14",
"types-aiofiles>=24.1.0.20250708",
"pydantic>=2.11.7",
"fastapi>=0.116.1",
"filelock>=3.18.0",
"rustworkx>=0.17.1",
"huggingface-hub>=0.33.4",
"psutil>=7.0.0",
"loguru>=0.7.3",
"exo_pyo3_bindings", # rust bindings
"anyio==4.11.0",
"mlx; sys_platform == 'darwin'",
"mlx[cpu]==0.30.6; sys_platform == 'linux'",
"mlx-lm",
"tiktoken>=0.12.0", # required for kimi k2 tokenizer
"hypercorn>=0.18.0",
"openai-harmony>=0.0.8",
"httpx>=0.28.1",
"tomlkit>=0.14.0",
"pillow>=11.0,<12.0", # compatibility with mflux
"mflux==0.15.5",
"python-multipart>=0.0.21",
"msgspec>=0.19.0",
"zstandard>=0.23.0",
]
[project.scripts]
@@ -38,12 +38,12 @@ exo = "exo.main:main"
# dependencies only required for development
[dependency-groups]
dev = [
"basedpyright>=1.29.0",
"pyinstaller>=6.17.0",
"pytest>=8.4.0",
"pytest-asyncio>=1.0.0",
"pytest-env",
"ruff>=0.11.13",
"basedpyright>=1.29.0",
"pyinstaller>=6.17.0",
"pytest>=8.4.0",
"pytest-asyncio>=1.0.0",
"pytest-env",
"ruff>=0.11.13",
]
# mlx[cuda] requires a newer version of mlx. the ideal on linux is: default to mlx[cpu] unless[cuda] specified.
@@ -57,14 +57,12 @@ dev = [
###
[tool.uv.workspace]
members = [
"rust/exo_pyo3_bindings",
"bench",
]
members = ["rust/exo_pyo3_bindings", "bench"]
[tool.uv.sources]
exo_pyo3_bindings = { workspace = true }
#mlx-lm = { git = "https://github.com/davidmcc73/mlx-lm", branch = "stable" }
mlx = { git = "https://github.com/rltakashige/mlx-jaccl-fix-small-recv.git", branch = "address-rdma-gpu-locks", marker = "sys_platform == 'darwin'" }
mlx-lm = { git = "https://github.com/ml-explore/mlx-lm", rev = "834fac934c4e04de9b3d723e2b9287a2c60cfd4a" }
# Uncomment to use local mlx/mlx-lm development versions:
# mlx = { path = "/Users/Shared/mlx", editable=true }
# mlx-lm = { path = "/Users/Shared/mlx-lm", editable=true }
@@ -94,7 +92,15 @@ reportUnnecessaryTypeIgnoreComment = "error"
pythonVersion = "3.13"
pythonPlatform = "Darwin"
exclude = ["**/.venv", "**/venv", "**/__pycache__", "**/exo_scripts", "**/.direnv", "**/rust", "**/.github"]
exclude = [
"**/.venv",
"**/venv",
"**/__pycache__",
"**/exo_scripts",
"**/.direnv",
"**/rust",
"**/.github",
]
stubPath = ".mlx_typings"
[[tool.basedpyright.executionEnvironments]]
@@ -108,17 +114,18 @@ root = "src"
[tool.uv]
required-version = ">=0.8.6"
prerelease = "allow"
environments = [
"sys_platform == 'darwin'",
"sys_platform == 'linux'",
]
environments = ["sys_platform == 'darwin'", "sys_platform == 'linux'"]
###
# ruff configuration
###
[tool.ruff]
extend-exclude = ["shared/protobufs/**", "*mlx_typings/**", "rust/exo_pyo3_bindings/**"]
extend-exclude = [
"shared/protobufs/**",
"*mlx_typings/**",
"rust/exo_pyo3_bindings/**",
]
[tool.ruff.lint]
extend-select = ["I", "N", "B", "A", "PIE", "SIM"]
@@ -126,13 +133,7 @@ extend-select = ["I", "N", "B", "A", "PIE", "SIM"]
[tool.pytest.ini_options]
pythonpath = "."
asyncio_mode = "auto"
markers = [
"slow: marks tests as slow (deselected by default)"
]
env = [
"EXO_TESTS=1"
]
addopts = "-m 'not slow'"
filterwarnings = [
"ignore:builtin type Swig:DeprecationWarning",
]
markers = ["slow: marks tests as slow (deselected by default)"]
env = ["EXO_TESTS=1"]
addopts = "-m 'not slow' --ignore=tests/start_distributed_test.py"
filterwarnings = ["ignore:builtin type Swig:DeprecationWarning"]
+30 -3
View File
@@ -58,6 +58,21 @@
lib.optionalAttrs pkgs.stdenv.hostPlatform.isLinux (
(lib.mapAttrs (_: ignoreMissing) nvidiaPackages) // {
mlx = ignoreMissing prev.mlx;
mlx-cuda-13 = prev.mlx-cuda-13.overrideAttrs (old: {
buildInputs = (old.buildInputs or [ ]) ++ [
final.nvidia-cublas
final.nvidia-cuda-nvrtc
final.nvidia-cudnn-cu13
final.nvidia-nccl-cu13
];
preFixup = ''
addAutoPatchelfSearchPath ${final.nvidia-cublas}
addAutoPatchelfSearchPath ${final.nvidia-cuda-nvrtc}
addAutoPatchelfSearchPath ${final.nvidia-cudnn-cu13}
addAutoPatchelfSearchPath ${final.nvidia-nccl-cu13}
'';
autoPatchelfIgnoreMissingDeps = [ "libcuda.so.1" ];
});
torch = ignoreMissing prev.torch;
triton = ignoreMissing prev.triton;
}
@@ -74,14 +89,25 @@
linuxOverlay
]
);
exoVenv = pythonSet.mkVirtualEnv "exo-env" workspace.deps.default;
# mlx-cpu and mlx-cuda-13 both ship mlx/ site-packages files; keep first.
# mlx-cpu/mlx-cuda-13 and nvidia-cudnn-cu12/cu13 ship overlapping files.
venvCollisionPaths = lib.optionals pkgs.stdenv.hostPlatform.isLinux [
"lib/python3.13/site-packages/mlx*"
"lib/python3.13/site-packages/nvidia*"
];
exoVenv = (pythonSet.mkVirtualEnv "exo-env" workspace.deps.default).overrideAttrs {
venvIgnoreCollisions = venvCollisionPaths;
};
# Virtual environment with dev dependencies for testing
testVenv = pythonSet.mkVirtualEnv "exo-test-env" (
testVenv = (pythonSet.mkVirtualEnv "exo-test-env" (
workspace.deps.default // {
exo = [ "dev" ]; # Include pytest, pytest-asyncio, pytest-env
}
);
)).overrideAttrs {
venvIgnoreCollisions = venvCollisionPaths;
};
mkPythonScript = name: path: pkgs.writeShellApplication {
inherit name;
@@ -132,6 +158,7 @@
exo-test-env = testVenv;
} // {
exo-bench = mkBenchScript "exo-bench" (inputs.self + /bench/exo_bench.py);
exo-eval-tool-calls = mkBenchScript "exo-eval-tool-calls" (inputs.self + /bench/eval_tool_calls.py);
exo-get-all-models-on-cluster = mkSimplePythonScript "exo-get-all-models-on-cluster" (inputs.self + /tests/get_all_models_on_cluster.py);
};
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "deepseek"
quantization = "4bit"
base_model = "DeepSeek V3.1"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 405874409472
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "deepseek"
quantization = "8bit"
base_model = "DeepSeek V3.1"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 765577920512
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "8bit"
base_model = "GLM 4.5 Air"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 122406567936
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "bf16"
base_model = "GLM 4.5 Air"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 229780750336
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "4bit"
base_model = "GLM 4.7"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 198556925568
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "6bit"
base_model = "GLM 4.7"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 286737579648
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "8bit"
base_model = "GLM 4.7"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 396963397248
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "4bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 19327352832
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "5bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 22548578304
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "6bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 26843545600
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "8bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 34359738368
@@ -0,0 +1,12 @@
model_id = "mlx-community/GLM-5-8bit-MXFP8"
n_layers = 78
hidden_size = 6144
supports_tensor = true
tasks = ["TextGeneration"]
family = "glm"
quantization = "8bit"
base_model = "GLM-5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 790517400864
@@ -0,0 +1,12 @@
model_id = "mlx-community/GLM-5-MXFP4-Q8"
n_layers = 78
hidden_size = 6144
supports_tensor = true
tasks = ["TextGeneration"]
family = "glm"
quantization = "MXFP4-Q8"
base_model = "GLM-5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 405478939008
@@ -0,0 +1,12 @@
model_id = "mlx-community/GLM-5"
n_layers = 78
hidden_size = 6144
supports_tensor = true
tasks = ["TextGeneration"]
family = "glm"
quantization = "bf16"
base_model = "GLM-5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 1487822475264
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "kimi"
quantization = ""
base_model = "Kimi K2"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 706522120192
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "kimi"
quantization = ""
base_model = "Kimi K2.5"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 662498705408
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "minimax"
quantization = "3bit"
base_model = "MiniMax M2.1"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 100086644736
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "minimax"
quantization = "8bit"
base_model = "MiniMax M2.1"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 242986745856
@@ -0,0 +1,12 @@
model_id = "mlx-community/MiniMax-M2.5-4bit"
n_layers = 62
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "minimax"
quantization = "4bit"
base_model = "MiniMax M2.5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 128666664960
@@ -0,0 +1,12 @@
model_id = "mlx-community/MiniMax-M2.5-6bit"
n_layers = 62
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "minimax"
quantization = "6bit"
base_model = "MiniMax M2.5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 185826705408
@@ -0,0 +1,12 @@
model_id = "mlx-community/MiniMax-M2.5-8bit"
n_layers = 62
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "minimax"
quantization = "8bit"
base_model = "MiniMax M2.5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 242986745856
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 0.6B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 342884352
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 0.6B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 698351616
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 235B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 141733920768
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 235B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 268435456000
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 30B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 17612931072
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 30B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 33279705088
@@ -3,6 +3,10 @@ n_layers = 48
hidden_size = 2048
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 Coder Next"
capabilities = ["text", "code"]
[storage_size]
in_bytes = 45644286500
@@ -3,6 +3,10 @@ n_layers = 48
hidden_size = 2048
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "5bit"
base_model = "Qwen3 Coder Next"
capabilities = ["text", "code"]
[storage_size]
in_bytes = 57657697020
@@ -3,6 +3,10 @@ n_layers = 48
hidden_size = 2048
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "6bit"
base_model = "Qwen3 Coder Next"
capabilities = ["text", "code"]
[storage_size]
in_bytes = 68899327465
@@ -3,6 +3,10 @@ n_layers = 48
hidden_size = 2048
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 Coder Next"
capabilities = ["text", "code"]
[storage_size]
in_bytes = 89357758772
@@ -3,6 +3,10 @@ n_layers = 48
hidden_size = 2048
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "bf16"
base_model = "Qwen3 Coder Next"
capabilities = ["text", "code"]
[storage_size]
in_bytes = 157548627945
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 Next 80B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 47080074240
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 Next 80B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 88814387200
@@ -0,0 +1,12 @@
model_id = "mlx-community/Qwen3.5-122B-A10B-4bit"
n_layers = 48
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3.5 122B A10B"
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 69593314272
@@ -0,0 +1,12 @@
model_id = "mlx-community/Qwen3.5-122B-A10B-6bit"
n_layers = 48
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "6bit"
base_model = "Qwen3.5 122B A10B"
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 100120675296
@@ -0,0 +1,12 @@
model_id = "mlx-community/Qwen3.5-122B-A10B-8bit"
n_layers = 48
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3.5 122B A10B"
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 130648036320
@@ -0,0 +1,12 @@
model_id = "mlx-community/Qwen3.5-122B-A10B-bf16"
n_layers = 48
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "bf16"
base_model = "Qwen3.5 122B A10B"
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 245125640160
@@ -0,0 +1,12 @@
model_id = "mlx-community/Qwen3.5-27B-4bit"
n_layers = 64
hidden_size = 5120
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3.5 27B"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 16054266848
@@ -0,0 +1,12 @@
model_id = "mlx-community/Qwen3.5-27B-8bit"
n_layers = 64
hidden_size = 5120
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3.5 27B"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 29500943328
@@ -0,0 +1,12 @@
model_id = "mlx-community/Qwen3.5-2B-MLX-8bit"
n_layers = 24
hidden_size = 2048
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3.5 2B"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 2662787264
@@ -0,0 +1,12 @@
model_id = "mlx-community/Qwen3.5-35B-A3B-4bit"
n_layers = 40
hidden_size = 2048
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3.5 35B A3B"
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 20391405152
@@ -0,0 +1,12 @@
model_id = "mlx-community/Qwen3.5-35B-A3B-8bit"
n_layers = 40
hidden_size = 2048
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3.5 35B A3B"
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 37721130592

Some files were not shown because too many files have changed in this diff Show More