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97 Commits

Author SHA1 Message Date
Alex Cheema a288401a7f fix: pass _cancel_sender in RunnerSupervisor test helper
After merging main (api cancellation #1276), the RunnerSupervisor
dataclass requires a _cancel_sender field. Update the test helper
to create and pass this channel.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:25:22 -08:00
Alex Cheema b36721e6d9 ci: retrigger CI (darwin runner back) 2026-02-16 10:01:27 -08:00
Alex Cheema 671e5de248 ci: retrigger CI (darwin runner stale) 2026-02-16 10:01:27 -08:00
Alex Cheema 5ec7b35841 ci: retrigger CI 2026-02-16 10:01:27 -08:00
Alex Cheema 92b20128a7 fix: retry failed e2e tests once to handle flaky Docker networking
Docker mDNS discovery can be slow on first boot in CI, causing
cluster_formation to timeout on "Nodes discovered each other" while
subsequent tests pass fine. Retry failed tests once before counting
them as real failures.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:01:27 -08:00
Alex Cheema 1fa4d3b087 fix: scope e2e CI triggers, add temperature=0, fail on missing snapshots
- Scope e2e workflow to only trigger on pushes to e2e-tests branch
  (not every branch push)
- Add temperature=0 to remaining snapshot test chat calls for
  deterministic output
- Make assert_snapshot fail when no baseline exists instead of silently
  creating one — baselines must be explicitly generated with
  UPDATE_SNAPSHOTS=1

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:01:27 -08:00
Alex Cheema d9c884b9df fix: mark all inference snapshot tests as slow to fix CI timeout
Snapshot tests do MLX inference on x86 CPU in Docker which takes >600s
per test, causing the 45-minute CI job to timeout. Only cluster_formation
and no_internet (non-inference tests) should run in CI. Inference
snapshot tests can be run locally with --slow or E2E_SLOW=1.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:01:27 -08:00
Alex Cheema ba934cf237 fix: resolve lint/format issues after merging main and fix pytest collection
Add root conftest.py to exclude tests/start_distributed_test.py from
pytest collection (it calls sys.exit at module level). Fix ruff lint
issues (import sorting, f-string without placeholders, lambda loop
variable capture) and apply nix fmt formatting to e2e files.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:01:27 -08:00
Alex Cheema 54a036223b fix: add health check and heartbeat to RunnerSupervisor
Add proactive monitoring to detect runner process death and unresponsiveness:

- Health check loop polls is_alive() every 1s, detects unexpected exits
- Counter-based heartbeat detects frozen/unresponsive processes
- Emits RunnerFailed event and releases pending task waiters on failure
- Add EXO_RUNNER_MUST_DIE debug trigger for testing abrupt process death
- Add chaos E2E test that kills runner mid-inference

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:01:08 -08:00
Alex Cheema 199fb1c9fa fix: enable MLX CPU inference on x86_64 Linux in Docker
Two issues prevented MLX CPU from working on x86_64 in Docker:

1. Missing BLAS/LAPACK libraries: MLX CPU backend requires libblas-dev,
   liblapack-dev, and liblapacke-dev on Linux. Added to apt-get install.

2. g++ wrapper ordering: The -fpermissive wrapper for GCC 14 was installed
   AFTER uv sync, but MLX may compile extensions during install. Moved
   the wrapper BEFORE uv sync so both build-time and runtime JIT
   compilation benefit from the fix.

MLX publishes manylinux_2_35_x86_64 wheels, so this uses the native
CPU backend — no alternative inference framework needed.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:00:04 -08:00
Alex Cheema cc7850180d Add multi-model snapshot tests for model diversity
Add e2e snapshot test that exercises 3 different model architectures
to catch model-specific regressions:
- SmolLM2-135M-Instruct (tiny llama, bf16, ~269MB)
- Llama-3.2-1B-Instruct-4bit (small llama, 4bit, ~730MB)
- gemma-2-2b-it-4bit (gemma2 architecture, 4bit, ~1.5GB)

Each model gets its own snapshot file. All use the same prompt
("What is the capital of France?"), seed=42, max_tokens=32.

Also adds model cards for SmolLM2-135M-Instruct and gemma-2-2b-it-4bit
(Llama-3.2-1B-Instruct-4bit already had one).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:00:04 -08:00
Alex Cheema 37af43e52f feat: add Docker layer caching to e2e CI with buildx + GHA cache
Pre-build the Docker image using docker/build-push-action with GitHub
Actions cache (type=gha). On cache hit, the image loads from cache
instead of rebuilding (~12min → seconds).

Changes:
- CI: set up buildx, build image with --cache-from/--cache-to type=gha
- docker-compose.yml: add image tag (exo-e2e:latest) so compose uses
  the pre-built image instead of rebuilding
- conftest.py: Cluster.build() skips if exo-e2e:latest already exists
  (pre-built in CI), falls back to docker compose build for local dev

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:00:04 -08:00
Alex Cheema effafc1d48 feat: make snapshot tests run on x86 Ubuntu CI without GPU
MLX already supports x86 CPU via mlx[cpu] and the Dockerfile has the
GCC workaround for CPU JIT. The only barriers were the 'slow' markers
causing tests to be skipped in CI.

Changes:
- Remove 'slow' marker from all snapshot tests so they run by default
- Make snapshots architecture-aware (snapshots/{arch}/{name}.json) since
  floating-point results differ between x86_64 and arm64
- Store architecture in snapshot metadata
- Increase CI timeout from 30 to 45 minutes for model download + CPU inference
- Update docstrings to remove Apple Silicon requirement

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:00:04 -08:00
Alex Cheema 3fb663ec25 feat: add snapshot test cases for code gen, reasoning, long output, and edge cases
Expand e2e snapshot coverage beyond the single 'What is 2+2?' test:
- test_snapshot_code_gen.py: code generation prompt (max_tokens=64)
- test_snapshot_reasoning.py: step-by-step math reasoning (max_tokens=64)
- test_snapshot_long_output.py: longer response with max_tokens=128
- test_snapshot_edge.py: single word, special chars, and unicode prompts

All use seed=42 and the shared assert_snapshot() infrastructure.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:00:04 -08:00
Alex Cheema c2f9034914 feat: add reusable snapshot regression testing to e2e framework
Add e2e/snapshot.py with assert_snapshot() for deterministic regression
testing. On first run, saves inference output as the expected snapshot.
On subsequent runs, compares against it with unified diff on mismatch.
Set UPDATE_SNAPSHOTS=1 or pass --update-snapshots to regenerate.

Refactor test_inference_snapshot.py to use the shared infrastructure
and drop temperature=0 in favor of seed-only determinism.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:00:04 -08:00
Alex Cheema 2cce4e8f04 fix: add root conftest.py to exclude start_distributed_test from pytest collection
The tests/start_distributed_test.py script calls sys.exit() at module
level, which crashes pytest collection. Exclude it via collect_ignore.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:00:04 -08:00
Alex Cheema ce82486a79 fix: ruff lint and formatting for e2e test files
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:00:04 -08:00
Alex Cheema 6e7dc0b042 fix: skip slow inference test in CI, run with --slow
MLX CPU inference on x86_64 is too slow for CI runners (~10min+ for
a single request). Mark the inference snapshot test as slow so it's
skipped by default. Run with --slow or E2E_SLOW=1 on Apple Silicon.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:00:04 -08:00
Alex Cheema acdf2751a3 feat: add deterministic inference snapshot test
Launch mlx-community/Qwen3-0.6B-4bit on the cluster, send a chat
completion with seed=42 and temperature=0, and verify the output
matches a committed snapshot. Tests inference determinism end-to-end.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:00:04 -08:00
Alex Cheema 0035ac3cf2 fix: make no_internet test actually block internet with iptables
Use iptables to block all outbound traffic except private subnets and
multicast (for mDNS discovery). Verify internet is blocked by curling
huggingface.co from inside each container and checking exo logs for
"Internet connectivity: False".

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:00:04 -08:00
Alex Cheema 26621503c8 fix: reduce Docker image size and free more CI disk space
Clean up Rust target/ and cargo registry after uv sync in the same RUN
command so build artifacts aren't committed to the layer (~1-2 GB saved).
Also remove more unused toolchains from the CI runner.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:00:04 -08:00
Alex Cheema b9dcea2b4e fix: free disk space in CI before Docker build
The runner was running out of disk space during the Docker image build
(Rust compilation + Python deps). Remove unused toolchains first.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:00:04 -08:00
Alex Cheema 9bcc0f968b feat: add Docker-based E2E test framework
Add a Python/asyncio E2E test framework that spins up 2-node exo clusters
in Docker Compose and verifies cluster formation, discovery, election, and
API health. Includes a no-internet chaos test using DNS blocking.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 10:00:04 -08:00
Evan Quiney 2759e92334 api cancellation (#1276)
closing the http request to the api now
- sends a cancellation from the api
- writes that canellation in the master
- worker plans off the cancellation
- runner observes that cancellation after every generation step (+1
communication per token)
- cancellation happens synchronously to prevent gpu locks

closes #61

---------

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

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

Test plan:
- CI

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

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

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

## Changes

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

## Why It Works

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

## Test Plan

### Manual Testing

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

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

## Changes

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

## Why It Works

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


## Test Plan

### Manual Testing

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

Exo is not returning usage stats correctly at the moment.

## Changes

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

## Test Plan

### Manual Testing
Needs manual testing.

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

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

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

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

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

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

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

Working version of #1366 

## Changes

Add Step 3.5 Flash

## Test Plan

### Manual Testing
Works!

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

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

## Changes

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

## Why It Works

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

## Test Plan

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

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

---------

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

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

## Changes

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

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

## Why It Works

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

## Test Plan

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

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

---------

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

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

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

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

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

## Changes

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

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

## Why It Works

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

## Test Plan

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

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

---------

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

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

## Changes

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

## Why It Works

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

## Test Plan

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

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

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

---------

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

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

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

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

## Changes

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

## Why It Works

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

## Test Plan

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

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

---------

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

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

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

## Changes

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

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

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

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

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

## Files changed

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

## Test Plan

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

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

---------

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

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

## Changes

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

## Why It Works

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

## Test Plan

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

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

---------

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

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

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

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

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

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

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

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

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

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

---------

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

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

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

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

## Test plan

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

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

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

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

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

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

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

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

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

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

Standardises exo.log and event_log

## Changes

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

## Test Plan

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

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

## Why It Works

Just uses loguru's rotation.

## Test Plan

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

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

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

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

App keeps losing Local Network permissions.

## Changes

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

## Why It Works

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

## Test Plan

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

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


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

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

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

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

---------

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

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

## Changes

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

## Why It Works

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

## Test Plan

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

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

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

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

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

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

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

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

## Changes

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

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

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

## Why It Works

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

## Test Plan

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

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

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

## Changes

Made check_reachable an async generator.

## Test Plan

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

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

## Changes

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

## Why It Works

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

## Test Plan

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

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

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

## Changes

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

## Why It Works


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

## Test Plan

### Manual Testing

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

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

## Changes

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

## Why It Works

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

## Test Plan

### Manual Testing

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

Maybe addresses #1303 

## Changes

Add an mx barrier before warmup

## Why It Works

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

## Test Plan

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

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

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

## Changes

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

## Why It Works

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

## Test Plan

### Manual Testing

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

---------

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

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

## Changes

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

## Why It Works

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

## Test Plan

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

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

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

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

---------

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

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

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

## Changes

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

## Test Plan

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

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

Recent commit broke glm (non lite) sharding

## Why It Works

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

## Test Plan

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

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

## Changes

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

## Test Plan

### Manual Testing

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

More dimensions for image generation

## Changes

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

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

## Changes

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

## Why It Works

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

## Test Plan

### Manual Testing

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

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

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

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

Test plan:

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

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

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

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

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

## Changes

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

## Why It Works

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

## Test Plan

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

---------

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

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

## Changes

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

## Why It Works

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

## Test Plan

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

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

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

## Changes

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

## Test Plan

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

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

## Changes

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

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

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

## Why It Works

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

## Test Plan

### Manual Testing
- Downloads that hit transient network errors now retry instead of
failing immediately

### Automated Testing
- `uv run basedpyright` — 0 errors
- `uv run ruff check` — passes
- `uv run pytest src/exo/download/tests/ -v` — 11 tests pass

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-06 11:51:54 +00:00
Evan Quiney c8371349d5 add scripts (#1401)
allow running exo-bench and the headless runner from nix
2026-02-06 11:06:40 +00:00
Evan Quiney 6b907398a4 cancel downloads for deleted instances (#1393)
after deleting an instance, if a given (node_id, model_id) pair doesn't exist in the left over instances, cancel the download of model_id on node_id.
2026-02-05 18:16:43 +00:00
Evan Quiney 572e647908 better cancellation (#1388)
a lot of our cleanup logic wasn't running leading to bad shutdown states

## changes
- added `try: except` blocks around most task groups
- made the runner shutdown code synchronous
- abandon the MpReceiver's recv_async thread on cancellation
- this only occurs during runner shutdown, the queue closing from the
other end should terminate the mp.Queue, cleaning up the thread in its
own time. i could try other methods if this is not sufficient.

## outcome
ctrl-c just works now! minus the tokio panic of course :) no more
hypercorn lifespan errors though!
2026-02-05 15:22:33 +00:00
Evan Quiney e59ebd986d set exo as the nix default package (#1391)
!!!
2026-02-05 15:15:52 +00:00
Alex Cheema 5c2f29f3f2 feat: show download availability in model picker (#1377)
## Motivation

Users browsing models in the picker need to know which models are
already downloaded and ready to run on their cluster, without having to
check the downloads page separately.

## Changes

- **ModelPickerModal.svelte**: Computes per-model download availability
by checking which nodes have `DownloadCompleted` entries and summing
their total RAM against the model's storage size. Passes availability
data to `ModelPickerGroup`. Enhances the info modal with a "Downloaded
on:" section showing node friendly names with green badges.
- **ModelPickerGroup.svelte**: Accepts new `downloadStatus` prop. Shows
a green checkmark-in-circle icon next to models that are downloaded on
sufficient nodes. Tooltip shows which nodes have the model.
- **+page.svelte**: Passes `downloadsData` and `topologyNodes` to
`ModelPickerModal`.

## Why It Works

The download state from `/state` already tracks per-node completed
downloads. The shared `getNodesWithModelDownloaded()` utility (from PR
#1375) finds nodes with `DownloadCompleted` entries for each model.
Total RAM is summed from the topology node data (using `ram_total`, not
`ram_available`) and compared to the model's `storage_size_megabytes` to
determine if there's enough aggregate memory. This is intentionally a
simple heuristic — not a full placement preview.

## Test Plan

### Manual Testing
<!-- Hardware: (e.g., MacBook Pro M1 Max 32GB, Mac Mini M2 16GB,
connected via Thunderbolt 4) -->
<!-- What you did: -->
- Open the model picker modal
- Verify downloaded models show a green checkmark icon
- Verify the checkmark appears dimmer for models downloaded on nodes
with insufficient total RAM
- Click the (i) info button on a downloaded model
- Verify "Downloaded on:" section appears with correct node names
- Verify models with no downloads show no indicator

### Automated Testing
- Dashboard builds successfully (`npm run build`)
- No new Python changes requiring type checking

> **Note:** This is a chained PR. Base branch is
`alexcheema/topology-download-indicators` (#1375).

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

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-05 14:32:53 +00:00
Alex Cheema ffe6396c91 Add Qwen3-Coder-Next model cards (#1367)
## Motivation

Qwen3-Coder-Next just dropped on mlx-community in several quantizations.
It's an 80B MoE model (Qwen3NextForCausalLM) which we already have
tensor parallelism support for via QwenShardingStrategy — just needs
model cards.

## Changes

Added model cards for all 5 available quantizations:
- `mlx-community/Qwen3-Coder-Next-4bit` (~46GB)
- `mlx-community/Qwen3-Coder-Next-5bit` (~58GB)
- `mlx-community/Qwen3-Coder-Next-6bit` (~69GB)
- `mlx-community/Qwen3-Coder-Next-8bit` (~89GB)
- `mlx-community/Qwen3-Coder-Next-bf16` (~158GB)

All with `supports_tensor = true` since the architecture is already
supported.

## Why It Works

`Qwen3NextForCausalLM` is already handled by QwenShardingStrategy in
auto_parallel.py and is in the supports_tensor allowlist in
model_cards.py. No code changes needed — just the TOML card files.

## Test Plan

### Manual Testing
<!-- n/a - model card addition only -->

### Automated Testing
- `basedpyright` — 0 errors
- `ruff check` — passes
- `nix fmt` — no changes
- `pytest` — 173 passed, 1 skipped


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

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-05 13:37:18 +00:00
Jake Hillion 3a9baeb9db EXO: add CLI flags for root install/uninstall
The macOS app required user interaction via AppleScript prompts to
install or uninstall network configuration components, making automated
deployments difficult.

Added --install and --uninstall command line flags that execute the
network setup scripts directly when running as root, bypassing GUI
prompts. Created a new main.swift entry point that parses CLI arguments
and delegates to NetworkSetupHelper's new direct execution methods.

This enables headless installation via `sudo EXO --install` for
automated deployment scenarios while preserving the existing GUI
behavior when launched normally.

Test plan:

- Deployed to a machine that didn't have the content installed. Got
  blocked on the popup and EXO never launched.
- Relaunched EXO, confirmed it still never starts because of the popup.
- Ran `sudo /Applications/EXO.app/Contents/MacOS/EXO --install`
- Launched EXO - the API started as expected.
- Ran `sudo /Applications/EXO.app/Contents/MacOS/EXO --uninstall`
- Launched EXO - got the popup.
2026-02-05 13:27:46 +00:00
Alex Cheema 01b86a9e81 feat: add uncertainty visualization with token-level logprobs (#1180)
## Motivation

Adds uncertainty visualization to the chat interface, allowing users to
see token-level confidence scores and regenerate responses from any
point in the generation. This enables users to:
- Understand model confidence at each token
- Explore alternative completions by regenerating from uncertain tokens
- Debug and analyze model behavior

## Changes

### Uncertainty Visualization
- Add `TokenHeatmap` component showing token-level probability coloring
- Toggle uncertainty view per message with bar chart icon
- Display tooltip with probability, logprob, and top alternative tokens
on hover

### Regenerate from Token
- Add "Regenerate from here" button in token tooltip
- Use `continue_final_message` in chat template to continue within same
turn (no EOS tokens)
- Add `continue_from_prefix` flag to `ChatCompletionTaskParams`

### Request Cancellation
- Add `AbortController` to cancel in-flight requests when regenerating
mid-generation
- Handle `BrokenResourceError` server-side when client disconnects
gracefully

### Additional APIs
- Add Claude Messages API support (`/v1/messages`)
- Add OpenAI Responses API support (`/v1/responses`)

## Why It Works

- **Proper continuation**: Using `continue_final_message=True` instead
of `add_generation_prompt=True` keeps the assistant turn open, allowing
the model to continue naturally from the prefix without end-of-turn
markers
- **Clean cancellation**: AbortController aborts the HTTP request, and
server catches `BrokenResourceError` to avoid crashes
- **Stable hover during generation**: TokenHeatmap tracks hover by index
(stable across re-renders) with longer hide delay during generation

## Test Plan

### Manual Testing
<!-- Hardware: MacBook Pro M1 -->
- Send a message and verify logprobs are collected
- Enable uncertainty view and verify token coloring based on probability
- Hover over tokens to see tooltip with alternatives
- Click "Regenerate from here" on a token mid-response
- Verify the response continues naturally from that point
- Verify aborting mid-generation and regenerating works without server
crash

### Automated Testing
- Added tests for Claude Messages API adapter
- Added tests for OpenAI Responses API adapter

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

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: Evan <evanev7@gmail.com>
2026-02-05 05:21:26 -08:00
rltakashige 221640a65b Acknowledge task after runner status is updated (#1381)
## Motivation

Duplicate tasks are still observed.

## Changes

Moved task acknowledgement to after the runner has changed its status.

## Why It Works

Tasks now remain pending until the runner has updated its status.

## Test Plan

### Manual Testing
Seems to work fine from manual testing. Hard to test a race condition
though.

### Automated Testing
Updated the event ordering test.
2026-02-05 12:00:37 +00:00
ciaranbor 6177550c34 Ciaran/parallel cfg (#1361)
## Motivation

Enable parallel classifier-free guidance (CFG) for Qwen image models.
CFG requires two forward passes (positive/negative prompts) - this
allows them to run on separate nodes simultaneously, reducing latency.

## Changes

  - Added uses_cfg flag to ModelCard to identify CFG-based models
- Extended PipelineShardMetadata with CFG topology fields (cfg_rank,
cfg_world_size, peer device info)
- Updated placement to create two CFG groups with reversed ordering
(places CFG peers as ring neighbors)
- Refactored DiffusionRunner to process CFG branches separately with
exchange at last pipeline stage
- Added get_cfg_branch_data() to PromptData for single-branch embeddings
  - Fixed seed handling in API for distributed consistency
  - Fixed image yield to only emit from CFG rank 0 at last stage
  - Increased num_sync_steps_factor from 0.125 to 0.25 for Qwen

## Why It Works

- 2 nodes + CFG: Both run all layers, process different CFG branches in
parallel
  - 4+ even nodes + CFG: Hybrid - 2 CFG groups × N/2 pipeline stages
  - Odd nodes or non-CFG: Falls back to pure pipeline parallelism
 
 Ring topology places CFG peers as neighbors to enable direct exchange.

## Test Plan

### Manual Testing

Verified performance gain for Qwen-Image for 2 node and 4 node cluster.
Non-CFG models still work

### Automated Testing
 
Added tests in test_placement_utils.py covering 2-node CFG parallel,
4-node hybrid, odd-node fallback, and non-CFG pipeline modes.
2026-02-04 21:16:35 +00:00
Evan Quiney 7b6cad94c6 add resources dir to nix (#1376)
add resources directory to the nix exo package, and fixes the env for the dashboard dir
2026-02-04 16:38:43 +00:00
Alex Cheema 41ed7afb3b feat: add model picker modal with grouped models and HF Hub search (#1369)
## Motivation

Reimplements the model picker modal from #1191 on top of the custom
model support branch. Replaces the inline model dropdown with a
full-featured modal that groups models by base model, supports
filtering, favorites, and HuggingFace Hub search.

## Changes

**Backend:**
- Add `family`, `quantization`, `base_model`, `capabilities` metadata
fields to `ModelCard` and all 40 TOML model cards
- Pass new fields through `ModelListModel` and `get_models()` API
response
- Add `GET /models/search` endpoint using
`huggingface_hub.list_models()`

**Dashboard (7 new files):**
- `ModelPickerModal.svelte` — Main modal with search, family filtering,
HuggingFace Hub tab
- `ModelPickerGroup.svelte` — Expandable model group row with
quantization variants
- `FamilySidebar.svelte` — Vertical sidebar with family icons (All,
Favorites, Hub, model families)
- `FamilyLogos.svelte` — SVG icons for each model family
- `ModelFilterPopover.svelte` — Capability and size range filters
- `HuggingFaceResultItem.svelte` — HF search result item with
download/like counts
- `favorites.svelte.ts` — localStorage-backed favorites store

**Integration:**
- Replace inline dropdown in `+page.svelte` with button that opens
`ModelPickerModal`
- Custom models shown in Hub tab with delete support

**Polish:**
- Real brand logos (Meta, Qwen, DeepSeek, OpenAI, GLM, MiniMax, Kimi,
HuggingFace) from Simple Icons / LobeHub
- Clean SVG stroke icons for capabilities (thinking, code, vision, image
gen)
- Consistent `border-exo-yellow/10` borders, descriptive tooltips
throughout
- Cluster memory (used/total) shown in modal header
- Selected model highlight with checkmark for both single and
multi-variant groups
- Cursor pointer on all interactive elements, fix filter popover
click-outside bug
- Custom models now appear in All tab alongside built-in models

## Bug Fix: Gemma 3 EOS tokens

Also included in this branch: fix for Gemma 3 models generating infinite
`<end_of_turn>` tokens. The tokenizer's `eos_token_ids` was missing
token ID 106 (`<end_of_turn>`), so generation never stopped. The fix
appends this token to the EOS list after loading the tokenizer. Also
handles `eos_token_ids` being a `set` (not just a `list`).

## Why It Works

Model metadata (family, capabilities, etc.) is stored directly in TOML
cards rather than derived from heuristics, ensuring accuracy. The modal
groups models by `base_model` field so quantization variants appear
together. Custom models are separated into the Hub tab since they lack
grouping metadata.

## Test Plan

### Manual Testing
- Open dashboard, click model selector to open modal
- Browse models by family sidebar, search, and filters
- Expand model groups to see quantization variants
- Star favorites and verify persistence across page reloads
- Navigate to Hub tab, search and add models
- Verify error messages shown for invalid model IDs
- Run a Gemma 3 model and verify generation stops at `<end_of_turn>`

### Automated Testing
- `uv run basedpyright` — 0 errors
- `uv run ruff check` — passes
- `nix fmt` — clean
- `uv run pytest src/` — 173 passed
- `cd dashboard && npm run build` — builds successfully

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-04 05:56:23 -08:00
Alex Cheema 2063278906 feat: add custom HuggingFace model support (#1368)
## Motivation

Users should be able to run any HuggingFace model, not just the ones we
ship TOML cards for. Continues the aim of #1191 with a minimal
implementation on top of the current TOML model card system.

Custom cards are saved to `~/.exo/custom_model_cards/` rather than the
bundled `resources/inference_model_cards/` because `RESOURCES_DIR` is
read-only in PyInstaller bundles (`sys._MEIPASS`). This also fixes
`fetch_from_hf` which was saving cards to the wrong path (`resources/`
root instead of `resources/inference_model_cards/`).

## Changes

- Add `EXO_CUSTOM_MODEL_CARDS_DIR` constant
(`~/.exo/custom_model_cards/`)
- Update `model_cards.py`: add custom dir to search path, fix
`save_to_custom_dir`, add `delete_custom_card`/`is_custom_card`
- Add `POST /models/add` and `DELETE /models/custom/{model_id}` API
endpoints
- Add `is_custom` field to `ModelListModel` API response
- Dashboard: add custom model input form in dropdown, delete button for
custom models, show actual API errors, auto-select newly added model

## Why It Works

Two separate directories for model cards: the bundled read-only
`resources/inference_model_cards/` for built-in cards, and user-writable
`~/.exo/custom_model_cards/` for custom cards. Both are scanned when
listing models. This works in all environments including PyInstaller
bundles where `RESOURCES_DIR` points to `sys._MEIPASS`.

## Test Plan

### Manual Testing
- Add a custom model via the dropdown (e.g.
`mlx-community/Llama-3.2-1B-Instruct-4bit`)
- Verify it appears in the model list with the delete (x) button
- Delete it and verify it disappears
- Try adding an invalid model ID and verify the actual error is shown

### Automated Testing
- `uv run basedpyright` — 0 errors
- `uv run ruff check` — passes
- `uv run pytest src/` — passes
- `cd dashboard && npm run build` — builds

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-04 05:06:15 -08:00
rltakashige a0f4f36355 Reduce reliance on internet (#1363)
## Motivation

Offline users currently have to wait for every retry to fail before
being able to launch a model.
For users that restart clusters often or share API keys between devices,
we also spam HuggingFace with downloads every 5 minutes.
These issues are caused by _emit_existing_download_progress being
inefficient.

## Changes

- Only query HuggingFace once while EXO is running (assumption being
that a change should only be reflected on a new EXO session)
- Only query HuggingFace when there is an internet connection (polling
connectivity every 10 seconds)
- Request download progress if we switch from no connectivity ->
connected to reduce the wait.
- Reduce download progress sleep as it's no longer expensive (queries
cache most of the time).
- Reduce retries as 30 is way too many.

## Test Plan

### Manual Testing
Manually tested the behaviour.

### Automated Testing
None, should I add any? We do have some tests for this folder, but they
are probably not too helpful.
2026-02-03 20:03:29 +00:00
Alex Cheema acb97127bf Normalize TextGenerationTaskParams.input to list[InputMessage] (#1360)
## Motivation

With the addition of the Responses API, we introduced `str |
list[InputMessage]` as the type for `TextGenerationTaskParams.input`
since the Responses API supports sending input as a plain string. But
there was no reason to leak that flexibility past the API adapter
boundary — it just meant every downstream consumer had to do `if
isinstance(messages, str):` checks, adding complexity for no benefit.

## Changes

- Changed `TextGenerationTaskParams.input` from `str |
list[InputMessage]` to `list[InputMessage]`
- Each API adapter (Chat Completions, Claude Messages, Responses) now
normalizes to `list[InputMessage]` at the boundary
- Removed `isinstance(task_params.input, str)` branches in
`utils_mlx.py` and `runner.py`
- Wrapped string inputs in `[InputMessage(role="user", content=...)]` in
the warmup path and all test files

## Why It Works

The API adapters are the only place where we deal with raw user input
formats. By normalizing there, all downstream code (worker, runner, MLX
engine) can just assume `list[InputMessage]` and skip the type-checking
branches. The type system (`basedpyright`) catches any missed call sites
at compile time.

## Test Plan

### Automated Testing
- `uv run basedpyright` — 0 errors
- `uv run ruff check` — passes
- `nix fmt` — applied
- `uv run pytest` — 174 passed, 1 skipped

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 06:01:56 -08:00
Evan Quiney d90605f198 migrate model cards to .toml files (#1354) 2026-02-03 12:32:06 +00:00
Evan Quiney f400b4d7c5 fix InstanceViewModel.swift (#1359)
wasn't caught when we merged the API changes
2026-02-02 18:43:27 +00:00
Evan Quiney d97bca88e6 improve distributed testing (#1300)
Our distributed test now does a full query cycle for every model loaded
onto the relevant machine. This will help find bugs early, as it already
has found one with Qwen3 Next! I didn't write down what the error was
though. Gooooooood luck with that!

Co-authored-by: rltakashige <rl.takashige@gmail.com>
2026-02-02 18:25:39 +00:00
225 changed files with 14130 additions and 3935 deletions
+15
View File
@@ -0,0 +1,15 @@
.venv/
.direnv/
target/
.git/
.idea/
.pytest_cache/
.ruff_cache/
dashboard/node_modules/
dashboard/.svelte-kit/
dashboard/build/
dist/
*.pdb
**/__pycache__
**/.DS_Store
.mlx_typings/
+7 -1
View File
@@ -396,7 +396,7 @@ jobs:
path: output/EXO-${{ env.RELEASE_VERSION }}.dmg
- name: Upload to S3
if: env.SPARKLE_S3_BUCKET != '' && github.ref_type == 'tag'
if: env.SPARKLE_S3_BUCKET != ''
env:
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
@@ -412,6 +412,12 @@ jobs:
PREFIX="${PREFIX}/"
fi
DMG_NAME="EXO-${RELEASE_VERSION}.dmg"
if [[ "${{ github.ref_type }}" != "tag" ]]; then
aws s3 cp "$DMG_NAME" "s3://${SPARKLE_S3_BUCKET}/${PREFIX}EXO-${GITHUB_SHA}.dmg"
exit 0
fi
aws s3 cp "$DMG_NAME" "s3://${SPARKLE_S3_BUCKET}/${PREFIX}${DMG_NAME}"
if [[ "$IS_ALPHA" != "true" ]]; then
aws s3 cp "$DMG_NAME" "s3://${SPARKLE_S3_BUCKET}/${PREFIX}EXO-latest.dmg"
+44
View File
@@ -0,0 +1,44 @@
name: e2e-tests
on:
push:
branches:
- e2e-tests
pull_request:
branches:
- staging
- main
jobs:
e2e:
runs-on: ubuntu-latest
timeout-minutes: 45
steps:
- name: Free up disk space
run: |
sudo rm -rf /usr/share/dotnet /usr/local/lib/android /opt/ghc \
/opt/hostedtoolcache /usr/local/share/boost /usr/share/swift \
/opt/microsoft /opt/az
docker system prune -af
df -h /
- name: Checkout repository
uses: actions/checkout@v4
with:
lfs: false
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Build E2E image with cache
uses: docker/build-push-action@v6
with:
context: .
file: e2e/Dockerfile
tags: exo-e2e:latest
load: true
cache-from: type=gha
cache-to: type=gha,mode=max
- name: Run E2E tests
run: python3 e2e/run_all.py
+2 -27
View File
@@ -8,33 +8,6 @@ on:
- main
jobs:
typecheck:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
lfs: false
- uses: cachix/install-nix-action@v31
with:
nix_path: nixpkgs=channel:nixos-unstable
- uses: cachix/cachix-action@v14
name: Configure Cachix
with:
name: exo
authToken: "${{ secrets.CACHIX_AUTH_TOKEN }}"
- name: Load nix develop environment
run: nix run github:nicknovitski/nix-develop/v1
- name: Sync dependencies
run: uv sync --all-packages
- name: Run type checker
run: uv run basedpyright --project pyproject.toml
nix:
name: Build and check (${{ matrix.system }})
runs-on: ${{ matrix.runner }}
@@ -142,4 +115,6 @@ jobs:
# Run pytest outside sandbox (needs GPU access for MLX)
export HOME="$RUNNER_TEMP"
export EXO_TESTS=1
export EXO_DASHBOARD_DIR="$PWD/dashboard/"
export EXO_RESOURCES_DIR="$PWD/resources"
$TEST_ENV/bin/python -m pytest src -m "not slow" --import-mode=importlib
+7
View File
@@ -31,3 +31,10 @@ dashboard/.svelte-kit/
# host config snapshots
hosts_*.json
.swp
# bench files
bench/**/*.json
# tmp
tmp/models
@@ -0,0 +1,7 @@
"""
This type stub file was generated by pyright.
"""
from mflux.models.flux.variants.kontext.flux_kontext import Flux1Kontext
__all__ = ["Flux1Kontext"]
@@ -0,0 +1,49 @@
"""
This type stub file was generated by pyright.
"""
from pathlib import Path
from typing import Any
from mlx import nn
from mflux.models.common.config.model_config import ModelConfig
from mflux.models.flux.model.flux_text_encoder.clip_encoder.clip_encoder import (
CLIPEncoder,
)
from mflux.models.flux.model.flux_text_encoder.t5_encoder.t5_encoder import T5Encoder
from mflux.models.flux.model.flux_transformer.transformer import Transformer
from mflux.models.flux.model.flux_vae.vae import VAE
from mflux.utils.generated_image import GeneratedImage
class Flux1Kontext(nn.Module):
vae: VAE
transformer: Transformer
t5_text_encoder: T5Encoder
clip_text_encoder: CLIPEncoder
bits: int | None
lora_paths: list[str] | None
lora_scales: list[float] | None
prompt_cache: dict[str, Any]
tokenizers: dict[str, Any]
def __init__(
self,
quantize: int | None = ...,
model_path: str | None = ...,
lora_paths: list[str] | None = ...,
lora_scales: list[float] | None = ...,
model_config: ModelConfig = ...,
) -> None: ...
def generate_image(
self,
seed: int,
prompt: str,
num_inference_steps: int = ...,
height: int = ...,
width: int = ...,
guidance: float = ...,
image_path: Path | str | None = ...,
image_strength: float | None = ...,
scheduler: str = ...,
) -> GeneratedImage: ...
@@ -0,0 +1,16 @@
"""
This type stub file was generated by pyright.
"""
import mlx.core as mx
from mflux.models.flux.model.flux_vae.vae import VAE
class KontextUtil:
@staticmethod
def create_image_conditioning_latents(
vae: VAE,
height: int,
width: int,
image_path: str,
) -> tuple[mx.array, mx.array]: ...
+3 -3
View File
@@ -1139,7 +1139,7 @@ class array:
) -> array:
"""See :func:`flatten`."""
def reshape(self, *shape, stream: Stream | Device | None = ...) -> array:
def reshape(self, *shape: int, stream: Stream | Device | None = ...) -> array:
"""
Equivalent to :func:`reshape` but the shape can be passed either as a
:obj:`tuple` or as separate arguments.
@@ -1222,7 +1222,7 @@ class array:
) -> array:
"""See :func:`swapaxes`."""
def transpose(self, *axes, stream: Stream | Device | None = ...) -> array:
def transpose(self, *axes: int, stream: Stream | Device | None = ...) -> array:
"""
Equivalent to :func:`transpose` but the axes can be passed either as
a tuple or as separate arguments.
@@ -2366,7 +2366,7 @@ class custom_function:
def default_device() -> Device:
"""Get the default device."""
def default_stream(device: Device) -> Stream:
def default_stream(device: Device | DeviceType) -> Stream:
"""Get the device's default stream."""
def degrees(a: array, /, *, stream: Stream | Device | None = ...) -> array:
@@ -30,6 +30,9 @@ class Conv1d(Module):
bias (bool, optional): If ``True`` add a learnable bias to the output.
Default: ``True``
"""
weight: mx.array
groups: int
def __init__(
self,
in_channels: int,
+5 -1
View File
@@ -11,7 +11,10 @@ import mlx.core as mx
class Cache(Protocol):
keys: mx.array
values: mx.array
def update_and_fetch(self, keys: mx.array, values: mx.array) -> None: ...
offset: int
def update_and_fetch(
self, keys: mx.array, values: mx.array
) -> tuple[mx.array, mx.array]: ...
@property
def state(self) -> tuple[mx.array, mx.array]: ...
@state.setter
@@ -87,6 +90,7 @@ def create_attention_mask(
class _BaseCache(Cache):
keys: mx.array
values: mx.array
offset: int
@property
def state(self) -> tuple[mx.array, mx.array]: ...
@state.setter
+5 -1
View File
@@ -5,6 +5,7 @@ from typing import Any, Dict, Optional
import mlx.core as mx
import mlx.nn as nn
from mlx_lm.models.mla import MultiLinear
from .base import BaseModelArgs
from .switch_layers import SwitchGLU
@@ -60,7 +61,10 @@ class DeepseekV3Attention(nn.Module):
q_b_proj: nn.Linear
kv_a_proj_with_mqa: nn.Linear
kv_a_layernorm: nn.RMSNorm
kv_b_proj: nn.Linear
# kv_b_proj: nn.Linear
embed_q: MultiLinear
unembed_out: MultiLinear
o_proj: nn.Linear
rope: Any
+153
View File
@@ -0,0 +1,153 @@
from dataclasses import dataclass
from typing import Any, Dict, Optional
import mlx.core as mx
import mlx.nn as nn
from .base import BaseModelArgs
from .switch_layers import SwitchGLU
@dataclass
class ModelArgs(BaseModelArgs):
model_type: str
vocab_size: int
hidden_size: int
intermediate_size: int
max_position_embeddings: int
moe_intermediate_size: int
norm_topk_prob: bool
num_attention_heads: int
n_group: int
head_dim: int
topk_group: int
n_shared_experts: int
n_routed_experts: int
routed_scaling_factor: float
num_experts_per_tok: int
first_k_dense_replace: int
num_hidden_layers: int
num_key_value_heads: int
rms_norm_eps: float
rope_theta: float
rope_scaling: Optional[Dict[str, Any]]
use_qk_norm: bool
tie_word_embeddings: bool
attention_bias: bool
partial_rotary_factor: float
scoring_func: str
topk_method: str
class Attention(nn.Module):
n_heads: int
n_kv_heads: int
scale: float
q_proj: nn.Linear
k_proj: nn.Linear
v_proj: nn.Linear
o_proj: nn.Linear
use_qk_norm: bool
q_norm: nn.RMSNorm
k_norm: nn.RMSNorm
rope: nn.RoPE
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class MLP(nn.Module):
config: ModelArgs
hidden_size: int
intermediate_size: int
gate_proj: nn.Linear
up_proj: nn.Linear
down_proj: nn.Linear
def __init__(
self,
config: ModelArgs,
hidden_size: Optional[int] = None,
intermediate_size: Optional[int] = None,
) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class MoEGate(nn.Module):
config: ModelArgs
top_k: int
norm_topk_prob: bool
n_routed_experts: int
routed_scaling_factor: float
n_group: int
topk_group: int
weight: mx.array
e_score_correction_bias: mx.array
def __init__(self, config: ModelArgs) -> None: ...
def __call__(self, x: mx.array) -> tuple[mx.array, mx.array]: ...
class MoE(nn.Module):
config: ModelArgs
num_experts_per_tok: int
switch_mlp: SwitchGLU
gate: MoEGate
shared_experts: MLP
sharding_group: Optional[mx.distributed.Group]
def __init__(self, config: ModelArgs) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class DecoderLayer(nn.Module):
self_attn: Attention
mlp: MLP | MoE
input_layernorm: nn.RMSNorm
post_attention_layernorm: nn.RMSNorm
def __init__(self, config: ModelArgs, layer_idx: int) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class LanguageModel(nn.Module):
vocab_size: int
embed_tokens: nn.Embedding
layers: list[DecoderLayer]
norm: nn.RMSNorm
pipeline_rank: int
pipeline_size: int
start_idx: int
end_idx: Optional[int]
num_layers: int
def __init__(self, config: ModelArgs) -> None: ...
def __call__(
self,
x: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
@property
def pipeline_layers(self) -> list[DecoderLayer]: ...
class Model(nn.Module):
args: ModelArgs
model_type: str
model: LanguageModel
lm_head: nn.Linear
def __init__(self, config: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
def shard(self, group: Optional[mx.distributed.Group] = None) -> None: ...
@property
def layers(self) -> list[DecoderLayer]: ...
@property
def cast_predicate(self) -> Any: ...
+114
View File
@@ -0,0 +1,114 @@
"""Type stubs for mlx_lm.models.qwen3_next"""
from typing import Any, Optional
import mlx.core as mx
import mlx.nn as nn
from .switch_layers import SwitchGLU
class Qwen3NextMLP(nn.Module):
gate_proj: nn.Linear
down_proj: nn.Linear
up_proj: nn.Linear
def __init__(self, dim: int, hidden_dim: int) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class Qwen3NextGatedDeltaNet(nn.Module):
hidden_size: int
num_v_heads: int
num_k_heads: int
head_k_dim: int
head_v_dim: int
key_dim: int
value_dim: int
conv_kernel_size: int
conv_dim: int
conv1d: nn.Conv1d
in_proj_qkvz: nn.Linear
in_proj_ba: nn.Linear
dt_bias: mx.array
A_log: mx.array
out_proj: nn.Linear
def __init__(self, config: Any) -> None: ...
def __call__(
self,
inputs: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class Qwen3NextAttention(nn.Module):
num_attention_heads: int
num_key_value_heads: int
head_dim: int
scale: float
q_proj: nn.Linear
k_proj: nn.Linear
v_proj: nn.Linear
o_proj: nn.Linear
def __init__(self, args: Any) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class Qwen3NextSparseMoeBlock(nn.Module):
norm_topk_prob: bool
num_experts: int
top_k: int
gate: nn.Linear
switch_mlp: SwitchGLU
shared_expert: Qwen3NextMLP
shared_expert_gate: nn.Linear
def __init__(self, args: Any) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class Qwen3NextDecoderLayer(nn.Module):
is_linear: bool
linear_attn: Qwen3NextGatedDeltaNet
self_attn: Qwen3NextAttention
input_layernorm: nn.RMSNorm
post_attention_layernorm: nn.RMSNorm
mlp: Qwen3NextMLP | Qwen3NextSparseMoeBlock
def __init__(self, args: Any, layer_idx: int) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class Qwen3NextModel(nn.Module):
embed_tokens: nn.Embedding
layers: list[Qwen3NextDecoderLayer]
norm: nn.RMSNorm
def __init__(self, args: Any) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
class Model(nn.Module):
model_type: str
model: Qwen3NextModel
lm_head: nn.Linear
def __init__(self, args: Any) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
@property
def layers(self) -> list[Qwen3NextDecoderLayer]: ...
+151
View File
@@ -0,0 +1,151 @@
from dataclasses import dataclass
from typing import Any, Dict, List, Optional
import mlx.core as mx
import mlx.nn as nn
from .base import BaseModelArgs
from .switch_layers import SwitchGLU
@dataclass
class ModelArgs(BaseModelArgs):
model_type: str
hidden_size: int
num_hidden_layers: int
vocab_size: int
num_attention_heads: int
num_attention_groups: int
head_dim: int
intermediate_size: int
rms_norm_eps: float
rope_theta: float
rope_scaling: Optional[Dict[str, Any]]
max_position_embeddings: int
sliding_window: int
layer_types: Optional[List[str]]
yarn_only_types: Optional[List[str]]
partial_rotary_factors: Optional[List[float]]
attention_other_setting: Optional[Dict[str, Any]]
use_head_wise_attn_gate: bool
moe_num_experts: int
moe_top_k: int
moe_intermediate_size: int
share_expert_dim: int
moe_layers_enum: Optional[str]
moe_router_scaling_factor: float
norm_expert_weight: bool
swiglu_limits: Optional[List[float]]
swiglu_limits_shared: Optional[List[float]]
tie_word_embeddings: bool
class Step3p5MLP(nn.Module):
hidden_size: int
intermediate_size: int
gate_proj: nn.Linear
up_proj: nn.Linear
down_proj: nn.Linear
limit: Optional[float]
def __init__(
self, args: ModelArgs, intermediate_size: int, swiglu_limit: float = 0
) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class Step3p5MoEGate(nn.Module):
top_k: int
n_routed_experts: int
routed_scaling_factor: float
norm_topk_prob: bool
gate: nn.Linear
router_bias: mx.array
def __init__(self, args: ModelArgs) -> None: ...
def __call__(self, x: mx.array) -> tuple[mx.array, mx.array]: ...
class Step3p5MoE(nn.Module):
gate: Step3p5MoEGate
switch_mlp: SwitchGLU
share_expert: Step3p5MLP
sharding_group: Optional[mx.distributed.Group]
def __init__(self, args: ModelArgs, layer_idx: int) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class Step3p5Attention(nn.Module):
is_sliding: bool
num_heads: int
num_kv_heads: int
head_dim: int
scale: float
q_proj: nn.Linear
k_proj: nn.Linear
v_proj: nn.Linear
o_proj: nn.Linear
q_norm: nn.Module
k_norm: nn.Module
use_head_wise_attn_gate: bool
g_proj: nn.Linear
rope: nn.Module
def __init__(self, args: ModelArgs, layer_idx: int) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class Step3p5DecoderLayer(nn.Module):
self_attn: Step3p5Attention
is_sliding: bool
is_moe_layer: bool
mlp: Step3p5MLP | Step3p5MoE
input_layernorm: nn.Module
post_attention_layernorm: nn.Module
def __init__(self, args: ModelArgs, layer_idx: int) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class Step3p5Model(nn.Module):
args: ModelArgs
vocab_size: int
num_layers: int
embed_tokens: nn.Embedding
layers: list[Step3p5DecoderLayer]
norm: nn.Module
_swa_idx: Optional[int]
_full_idx: Optional[int]
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
x: mx.array,
cache: Optional[List[Any]] = None,
) -> mx.array: ...
class Model(nn.Module):
args: ModelArgs
model_type: str
model: Step3p5Model
lm_head: nn.Linear
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[List[Any]] = None,
) -> mx.array: ...
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
def shard(self, group: Optional[mx.distributed.Group] = None) -> None: ...
@property
def layers(self) -> list[Step3p5DecoderLayer]: ...
def make_cache(self) -> list[Any]: ...
@property
def cast_predicate(self) -> Any: ...
@property
def quant_predicate(self) -> Any: ...
+6 -1
View File
@@ -108,16 +108,21 @@ class TokenizerWrapper:
_tokenizer: PreTrainedTokenizerFast
eos_token_id: int | None
eos_token: str | None
eos_token_ids: list[int] | set[int] | None
bos_token_id: int | None
bos_token: str | None
vocab_size: int
all_special_tokens: list[str]
think_start: str | None
think_end: str | None
think_start_id: int | None
think_end_id: int | None
def __init__(
self,
tokenizer: Any,
detokenizer_class: Any = ...,
eos_token_ids: list[int] | None = ...,
eos_token_ids: list[int] | set[int] | None = ...,
chat_template: Any = ...,
tool_parser: Any = ...,
tool_call_start: str | None = ...,
+75
View File
@@ -119,3 +119,78 @@ From .cursorrules:
## Testing
Tests use pytest-asyncio with `asyncio_mode = "auto"`. Tests are in `tests/` subdirectories alongside the code they test. The `EXO_TESTS=1` env var is set during tests.
## Dashboard UI Testing & Screenshots
### Building and Running the Dashboard
```bash
# Build the dashboard (must be done before running exo)
cd dashboard && npm install && npm run build && cd ..
# Start exo (serves the dashboard at http://localhost:52415)
uv run exo &
sleep 8 # Wait for server to start
```
### Taking Headless Screenshots with Playwright
Use Playwright with headless Chromium for programmatic screenshots — no manual browser interaction needed.
**Setup (one-time):**
```bash
npx --yes playwright install chromium
cd /tmp && npm init -y && npm install playwright
```
**Taking screenshots:**
```javascript
// Run from /tmp where playwright is installed: cd /tmp && node -e "..."
const { chromium } = require('playwright');
(async () => {
const browser = await chromium.launch({ headless: true });
const page = await browser.newPage({ viewport: { width: 1280, height: 800 } });
await page.goto('http://localhost:52415', { waitUntil: 'networkidle' });
await page.waitForTimeout(2000);
// Inject test data into localStorage if needed (e.g., recent models)
await page.evaluate(() => {
localStorage.setItem('exo-recent-models', JSON.stringify([
{ modelId: 'mlx-community/Qwen3-30B-A3B-4bit', launchedAt: Date.now() },
]));
});
await page.reload({ waitUntil: 'networkidle' });
await page.waitForTimeout(2000);
// Interact with UI elements
await page.locator('text=SELECT MODEL').click();
await page.waitForTimeout(1000);
// Take screenshot
await page.screenshot({ path: '/tmp/screenshot.png', fullPage: false });
await browser.close();
})();
```
### Uploading Images to GitHub PRs
GitHub's API doesn't support direct image upload for PR comments. Workaround:
1. **Commit images to the branch** (temporarily):
```bash
cp /tmp/screenshot.png .
git add screenshot.png
git commit -m "temp: add screenshots for PR"
git push origin <branch>
COMMIT_SHA=$(git rev-parse HEAD)
```
2. **Post PR comment** referencing the raw image URL (uses permanent commit SHA so images survive deletion):
```bash
gh pr comment <PR_NUMBER> --body "![Screenshot](https://raw.githubusercontent.com/exo-explore/exo/${COMMIT_SHA}/screenshot.png)"
```
3. **Remove the images** from the branch:
```bash
git rm screenshot.png
git commit -m "chore: remove temporary screenshot files"
git push origin <branch>
```
The images still render in the PR comment because they reference the permanent commit SHA.
Generated
-100
View File
@@ -353,31 +353,6 @@ dependencies = [
"generic-array",
]
[[package]]
name = "bon"
version = "3.8.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ebeb9aaf9329dff6ceb65c689ca3db33dbf15f324909c60e4e5eef5701ce31b1"
dependencies = [
"bon-macros",
"rustversion",
]
[[package]]
name = "bon-macros"
version = "3.8.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "77e9d642a7e3a318e37c2c9427b5a6a48aa1ad55dcd986f3034ab2239045a645"
dependencies = [
"darling",
"ident_case",
"prettyplease",
"proc-macro2",
"quote",
"rustversion",
"syn 2.0.111",
]
[[package]]
name = "bs58"
version = "0.5.1"
@@ -700,41 +675,6 @@ dependencies = [
"syn 2.0.111",
]
[[package]]
name = "darling"
version = "0.21.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "9cdf337090841a411e2a7f3deb9187445851f91b309c0c0a29e05f74a00a48c0"
dependencies = [
"darling_core",
"darling_macro",
]
[[package]]
name = "darling_core"
version = "0.21.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "1247195ecd7e3c85f83c8d2a366e4210d588e802133e1e355180a9870b517ea4"
dependencies = [
"fnv",
"ident_case",
"proc-macro2",
"quote",
"strsim",
"syn 2.0.111",
]
[[package]]
name = "darling_macro"
version = "0.21.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "d38308df82d1080de0afee5d069fa14b0326a88c14f15c5ccda35b4a6c414c81"
dependencies = [
"darling_core",
"quote",
"syn 2.0.111",
]
[[package]]
name = "data-encoding"
version = "2.9.0"
@@ -1625,12 +1565,6 @@ dependencies = [
"zerovec",
]
[[package]]
name = "ident_case"
version = "1.0.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b9e0384b61958566e926dc50660321d12159025e767c18e043daf26b70104c39"
[[package]]
name = "idna"
version = "1.1.0"
@@ -1745,15 +1679,6 @@ dependencies = [
"generic-array",
]
[[package]]
name = "internment"
version = "0.8.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "636d4b0f6a39fd684effe2a73f5310df16a3fa7954c26d36833e98f44d1977a2"
dependencies = [
"hashbrown 0.15.5",
]
[[package]]
name = "inventory"
version = "0.3.21"
@@ -3307,16 +3232,6 @@ dependencies = [
"zerocopy",
]
[[package]]
name = "prettyplease"
version = "0.2.37"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "479ca8adacdd7ce8f1fb39ce9ecccbfe93a3f1344b3d0d97f20bc0196208f62b"
dependencies = [
"proc-macro2",
"syn 2.0.111",
]
[[package]]
name = "primeorder"
version = "0.13.6"
@@ -3740,12 +3655,6 @@ dependencies = [
"yasna",
]
[[package]]
name = "recursion"
version = "0.5.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "9dba2197bf7b1d87b4dd460c195f4edeb45a94e82e8054f8d5f317c1f0e93ca1"
[[package]]
name = "redox_syscall"
version = "0.5.18"
@@ -4807,15 +4716,6 @@ checksum = "06abde3611657adf66d383f00b093d7faecc7fa57071cce2578660c9f1010821"
[[package]]
name = "util"
version = "0.0.1"
dependencies = [
"bon",
"derive_more",
"extend",
"internment",
"once_cell",
"recursion",
"thiserror 2.0.17",
]
[[package]]
name = "uuid"
+11 -11
View File
@@ -5,21 +5,21 @@
[X] Fetching download status of all models on start
[X] Deduplication of tasks in plan_step.
[X] resolve_allow_patterns should just be wildcard now.
[] no mx_barrier in genreate.py mlx_generate at the end.
[X] no mx_barrier in genreate.py mlx_generate at the end.
[] cache assertion not needed in auto_parallel.py PipelineLastLayer.
[] GPTOSS support dropped in auto_parallel.py.
[] sharding changed "all-to-sharded" became _all_to_sharded in auto_parallel.py.
[] same as above with "sharded-to-all" became _sharded_to_all in auto_parallel.py.
[] Dropped support for Ministral3Model, DeepseekV32Model, Glm4MoeModel, Qwen3NextModel, GptOssMode in auto_parallel.py.
[X] GPTOSS support dropped in auto_parallel.py.
[X] sharding changed "all-to-sharded" became _all_to_sharded in auto_parallel.py.
[X] same as above with "sharded-to-all" became _sharded_to_all in auto_parallel.py.
[X] Dropped support for Ministral3Model, DeepseekV32Model, Glm4MoeModel, Qwen3NextModel, GptOssMode in auto_parallel.py.
[] Dropped prefill/decode code in auto_parallel.py and utils_mlx.py.
[X] KV_CACHE_BITS should be None to disable quantized KV cache.
[] Dropped _set_nofile_limit in utils_mlx.py.
[] We have group optional in load_mlx_items in utils_mlx.py.
[] Dropped add_missing_chat_templates for GptOss in load_mlx_items in utils_mlx.py.
[] Dropped model.make_cache in make_kv_cache in utils_mlx.py.
[X] Dropped _set_nofile_limit in utils_mlx.py.
[X] We have group optional in load_mlx_items in utils_mlx.py.
[X] Dropped add_missing_chat_templates for GptOss in load_mlx_items in utils_mlx.py.
[X] Dropped model.make_cache in make_kv_cache in utils_mlx.py.
[X] We put cache limit back in utils_mlx.py.
[] topology.py remove_node removes the connections after checking if node is is in self._node_id_to_rx_id_map. on beta_1 it checks after, so would remove stale connections I guess?
[] Missing Glm 4.7 model cards (this isn't ready yet but should be picked up, probably create an issue... the blocker is transforemrs version doesn't support the tokenizer for Glm 4.7. rc-1 does but we can't upgrade as it breaks other things.)
[X] topology.py remove_node removes the connections after checking if node is is in self._node_id_to_rx_id_map. on beta_1 it checks after, so would remove stale connections I guess?
[X] Missing Glm 4.7 model cards (this isn't ready yet but should be picked up, probably create an issue... the blocker is transforemrs version doesn't support the tokenizer for Glm 4.7. rc-1 does but we can't upgrade as it breaks other things.)
[] try-except in _command_processor only excepts ValueError. This was silently failing leading to un-debuggable errors (we had a KeyError that was happening ). Changed this to catch Exception instead of ValueError. See exo-v2 89ae38405e0052e3c22405daf094b065878aa873 and fb99fea69b5a39017efc90c5dad0072e677455f0.
[X] In placement.py, place_instance no longer looks at model_meta.supports_tensor and check if this tensor parallel number of nodes is supported by the model's tensor dimensions.
[X] In placement.py, place_instanec, we no longer have the special case to exclude DeepSeek v3.1 pipeline parallel (it doesn't work).
-14
View File
@@ -1,28 +1,14 @@
2. Currently a lot of requests from the API are timing out, but we still process those requests internally. If an API request times out, we should cancel all corresponding tasks to that API request (why process a request with nobody listening).
3. Task cancellation. When API http request gets cancelled, it should cancel corresponding task.
4. I'd like to see profiled network latency / bandwidth.
5. I'd like to see how much bandwidth each link is using.
6. We should handle the case where one machine doesn't have the model downloaded and then other machines are waiting on it. In this case we get loads of timeout errors because the others are waiting for the one that needs to download the model.
7. Solve the problem of in continuous batching when a new prompt comes in, it will block decode of the current batch until the prefill is complete.
8. We want people to be able to copy models over to a new device without ever connecting EXO to the internet. Right now EXO require internet connection once to cache some files to check if a download is complete. Instead, we should simply check if there is a non-empty model folder locally with no .partial files. This indicates it's a fully downloaded model that can be loaded.
10. More granular control over how to deploy instances.
12. Nix is great but installing it is a pain and we have ended up in a lot of cases having PATH issues or installation issues. For example, after rebooting mike it seemed to no longer have a nix installation and needed reinstalling. It has a bunch of broken symlinks left over from nix that caused ssh to fail, making it even harder to debug. We need consistent environments (perhaps MDM) so we can guarantee nix is installed properly on each machine.
13. Memory pressure instead of memory used.
14. Show the type of each connection (TB5, Ethernet, etc.) in the UI. Refer to old exo: https://github.com/exo-explore/exo/blob/56f783b38dc6b08ce606b07a5386dc40dae00330/exo/helpers.py#L251
15. Prioritise certain connection types (or by latency). TB5 > Ethernet > WiFi. Refer to old exo: https://github.com/exo-explore/exo/blob/56f783b38dc6b08ce606b07a5386dc40dae00330/exo/helpers.py#L251
16. Dynamically switch to higher priority connection when it becomes available. Probably bring back InstanceReplacedAtomically.
17. Faster model loads by streaming model from other devices in cluster.
18. Add support for specifying the type of network connection to use in a test. Depends on 15/16.
20. Add chat completion cancellations (e.g OpenWebUI has something for cancelling an ongoing request).
23. Do we need cache_limit? We went back and forth on that a lot because we thought it might be causing issues. One problem is it sets it relative to model size. So if you have multiple models loaded in it will take the most recent model size for the cache_limit. This is problematic if you launch DeepSeek -> Llama for example.
24. further openai/lmstudio api compatibility
25. Rethink retry logic
26. Task cancellation. When API http request gets cancelled, it should cancel corresponding task.
27. Log cleanup - per-module log filters and default to DEBUG log levels
28. Validate RDMA connections with ibv_devinfo in the info gatherer
Potential refactors:
2. Topology can be simplified
Random errors we've run into:
+33 -31
View File
@@ -563,21 +563,45 @@ struct ContentView: View {
}
private var rdmaStatusView: some View {
let rdma = networkStatusService.status.rdmaStatus
let rdmaStatuses = stateService.latestSnapshot?.nodeRdmaCtl ?? [:]
let localNodeId = stateService.localNodeId
let nodeProfiles = stateService.latestSnapshot?.nodeProfiles ?? [:]
let localDevices = networkStatusService.status.localRdmaDevices
let localPorts = networkStatusService.status.localRdmaActivePorts
return VStack(alignment: .leading, spacing: 1) {
Text("RDMA: \(rdmaStatusText(rdma))")
.font(.caption2)
.foregroundColor(rdmaStatusColor(rdma))
if !rdma.devices.isEmpty {
Text(" Devices: \(rdma.devices.joined(separator: ", "))")
if rdmaStatuses.isEmpty {
Text("Cluster RDMA: No data")
.font(.caption2)
.foregroundColor(.secondary)
} else {
Text("Cluster RDMA Status:")
.font(.caption2)
.foregroundColor(.secondary)
ForEach(Array(rdmaStatuses.keys.sorted()), id: \.self) { nodeId in
if let status = rdmaStatuses[nodeId] {
let nodeName =
nodeProfiles[nodeId]?.friendlyName ?? String(nodeId.prefix(8))
let isLocal = nodeId == localNodeId
let prefix = isLocal ? " \(nodeName) (local):" : " \(nodeName):"
let statusText = status.enabled ? "Enabled" : "Disabled"
let color: Color = status.enabled ? .green : .orange
Text("\(prefix) \(statusText)")
.font(.caption2)
.foregroundColor(color)
}
}
}
if !localDevices.isEmpty {
Text(" Local Devices: \(localDevices.joined(separator: ", "))")
.font(.caption2)
.foregroundColor(.secondary)
}
if !rdma.activePorts.isEmpty {
Text(" Active Ports:")
if !localPorts.isEmpty {
Text(" Local Active Ports:")
.font(.caption2)
.foregroundColor(.secondary)
ForEach(rdma.activePorts, id: \.device) { port in
ForEach(localPorts, id: \.device) { port in
Text(" \(port.device) port \(port.port): \(port.state)")
.font(.caption2)
.foregroundColor(.green)
@@ -586,28 +610,6 @@ struct ContentView: View {
}
}
private func rdmaStatusText(_ rdma: RDMAStatus) -> String {
switch rdma.rdmaCtlEnabled {
case .some(true):
return "Enabled"
case .some(false):
return "Disabled"
case nil:
return rdma.devices.isEmpty ? "Not Available" : "Available"
}
}
private func rdmaStatusColor(_ rdma: RDMAStatus) -> Color {
switch rdma.rdmaCtlEnabled {
case .some(true):
return .green
case .some(false):
return .orange
case nil:
return rdma.devices.isEmpty ? .secondary : .green
}
}
private var sendBugReportButton: some View {
VStack(alignment: .leading, spacing: 4) {
Button {
-1
View File
@@ -14,7 +14,6 @@ import SwiftUI
import UserNotifications
import os.log
@main
struct EXOApp: App {
@StateObject private var controller: ExoProcessController
@StateObject private var stateService: ClusterStateService
+9 -1
View File
@@ -28,6 +28,10 @@ final class ExoProcessController: ObservableObject {
}
}
static let exoDirectoryURL: URL = {
URL(fileURLWithPath: NSHomeDirectory()).appendingPathComponent(".exo")
}()
@Published private(set) var status: Status = .stopped
@Published private(set) var lastError: String?
@Published private(set) var launchCountdownSeconds: Int?
@@ -78,7 +82,11 @@ final class ExoProcessController: ObservableObject {
let child = Process()
child.executableURL = executableURL
child.currentDirectoryURL = runtimeURL
let exoHomeURL = Self.exoDirectoryURL
try? FileManager.default.createDirectory(
at: exoHomeURL, withIntermediateDirectories: true
)
child.currentDirectoryURL = exoHomeURL
child.environment = makeEnvironment(for: runtimeURL)
child.standardOutput = FileHandle.nullDevice
+10
View File
@@ -15,6 +15,7 @@ struct ClusterState: Decodable {
let nodeMemory: [String: MemoryInfo]
let nodeSystem: [String: SystemInfo]
let nodeThunderboltBridge: [String: ThunderboltBridgeStatus]
let nodeRdmaCtl: [String: NodeRdmaCtlStatus]
/// Computed property for backwards compatibility - merges granular state into NodeProfile
var nodeProfiles: [String: NodeProfile] {
@@ -65,6 +66,10 @@ struct ClusterState: Decodable {
try container.decodeIfPresent(
[String: ThunderboltBridgeStatus].self, forKey: .nodeThunderboltBridge
) ?? [:]
self.nodeRdmaCtl =
try container.decodeIfPresent(
[String: NodeRdmaCtlStatus].self, forKey: .nodeRdmaCtl
) ?? [:]
}
private enum CodingKeys: String, CodingKey {
@@ -78,6 +83,7 @@ struct ClusterState: Decodable {
case nodeMemory
case nodeSystem
case nodeThunderboltBridge
case nodeRdmaCtl
}
}
@@ -159,6 +165,10 @@ struct ThunderboltBridgeStatus: Decodable {
let serviceName: String?
}
struct NodeRdmaCtlStatus: Decodable {
let enabled: Bool
}
struct MemoryInfo: Decodable {
let ramTotal: MemoryValue?
let ramAvailable: MemoryValue?
+46 -14
View File
@@ -44,16 +44,12 @@ struct BugReportService {
let dayPrefix = Self.dayPrefixString(now)
let prefix = "reports/\(dayPrefix)/\(timestamp)/"
let logData = readLog()
let logFiles = readAllLogs()
let ifconfigText = try await captureIfconfig()
let hostName = Host.current().localizedName ?? "unknown"
let debugInfo = readDebugInfo()
async let stateResult = fetch(url: baseURL.appendingPathComponent("state"))
async let eventsResult = fetch(url: baseURL.appendingPathComponent("events"))
let stateData = try await stateResult
let eventsData = try await eventsResult
let stateData = try await fetch(url: baseURL.appendingPathComponent("state"))
// Extract cluster TB bridge status from exo state
let clusterTbBridgeStatus = extractClusterTbBridgeStatus(from: stateData)
@@ -67,12 +63,19 @@ struct BugReportService {
clusterTbBridgeStatus: clusterTbBridgeStatus
)
let uploads: [(path: String, data: Data?)] = [
("\(prefix)exo.log", logData),
let eventLogFiles = readAllEventLogs()
var uploads: [(path: String, data: Data?)] = logFiles.map { (path, data) in
("\(prefix)\(path)", data)
}
uploads.append(
contentsOf: eventLogFiles.map { (path, data) in
("\(prefix)\(path)", data as Data?)
})
uploads.append(contentsOf: [
("\(prefix)state.json", stateData),
("\(prefix)events.json", eventsData),
("\(prefix)report.json", reportJSON),
]
])
let uploadItems: [(key: String, body: Data)] = uploads.compactMap { item in
guard let body = item.data else { return nil }
@@ -149,11 +152,40 @@ struct BugReportService {
return decoded.urls
}
private func readLog() -> Data? {
let logURL = URL(fileURLWithPath: NSHomeDirectory())
private func readAllLogs() -> [(path: String, data: Data)] {
let dir = URL(fileURLWithPath: NSHomeDirectory())
.appendingPathComponent(".exo")
.appendingPathComponent("exo.log")
return try? Data(contentsOf: logURL)
.appendingPathComponent("exo_log")
var results: [(path: String, data: Data)] = []
let contents = (try? FileManager.default.contentsOfDirectory(atPath: dir.path)) ?? []
for name in contents {
if let data = try? Data(contentsOf: dir.appendingPathComponent(name)) {
results.append(("exo_log/\(name)", data))
}
}
return results
}
private func readAllEventLogs() -> [(path: String, data: Data)] {
let eventLogDir = URL(fileURLWithPath: NSHomeDirectory())
.appendingPathComponent(".exo")
.appendingPathComponent("event_log")
var results: [(path: String, data: Data)] = []
for subdir in ["master", "api"] {
let dir = eventLogDir.appendingPathComponent(subdir)
let contents =
(try? FileManager.default.contentsOfDirectory(atPath: dir.path)) ?? []
for name in contents where name.hasPrefix("events.") {
if let data = try? Data(contentsOf: dir.appendingPathComponent(name)) {
results.append(("event_log/\(subdir)/\(name)", data))
}
}
}
return results
}
private func captureIfconfig() async throws -> String {
@@ -288,6 +288,61 @@ enum NetworkSetupHelper {
"""
}
/// Direct install without GUI (requires root).
/// Returns true on success, false on failure.
static func installDirectly() -> Bool {
let script = makeInstallerScript()
return runShellDirectly(script)
}
/// Direct uninstall without GUI (requires root).
/// Returns true on success, false on failure.
static func uninstallDirectly() -> Bool {
let script = makeUninstallScript()
return runShellDirectly(script)
}
/// Run a shell script directly via Process (no AppleScript, requires root).
/// Returns true on success, false on failure.
private static func runShellDirectly(_ script: String) -> Bool {
let process = Process()
process.executableURL = URL(fileURLWithPath: "/bin/bash")
process.arguments = ["-c", script]
let outputPipe = Pipe()
let errorPipe = Pipe()
process.standardOutput = outputPipe
process.standardError = errorPipe
do {
try process.run()
process.waitUntilExit()
let outputData = outputPipe.fileHandleForReading.readDataToEndOfFile()
let errorData = errorPipe.fileHandleForReading.readDataToEndOfFile()
if let output = String(data: outputData, encoding: .utf8), !output.isEmpty {
print(output)
}
if let errorOutput = String(data: errorData, encoding: .utf8), !errorOutput.isEmpty {
fputs(errorOutput, stderr)
}
if process.terminationStatus == 0 {
logger.info("Shell script completed successfully")
return true
} else {
logger.error("Shell script failed with exit code \(process.terminationStatus)")
return false
}
} catch {
logger.error(
"Failed to run shell script: \(error.localizedDescription, privacy: .public)")
fputs("Error: \(error.localizedDescription)\n", stderr)
return false
}
}
private static func runShellAsAdmin(_ script: String) throws {
let escapedScript =
script
@@ -35,28 +35,18 @@ struct NetworkStatus: Equatable {
let thunderboltBridgeState: ThunderboltState?
let bridgeInactive: Bool?
let interfaceStatuses: [InterfaceIpStatus]
let rdmaStatus: RDMAStatus
let localRdmaDevices: [String]
let localRdmaActivePorts: [RDMAPort]
static let empty = NetworkStatus(
thunderboltBridgeState: nil,
bridgeInactive: nil,
interfaceStatuses: [],
rdmaStatus: .empty
localRdmaDevices: [],
localRdmaActivePorts: []
)
}
struct RDMAStatus: Equatable {
let rdmaCtlEnabled: Bool?
let devices: [String]
let activePorts: [RDMAPort]
var isAvailable: Bool {
rdmaCtlEnabled == true || !devices.isEmpty
}
static let empty = RDMAStatus(rdmaCtlEnabled: nil, devices: [], activePorts: [])
}
struct RDMAPort: Equatable {
let device: String
let port: String
@@ -80,31 +70,11 @@ private struct NetworkStatusFetcher {
thunderboltBridgeState: readThunderboltBridgeState(),
bridgeInactive: readBridgeInactive(),
interfaceStatuses: readInterfaceStatuses(),
rdmaStatus: readRDMAStatus()
localRdmaDevices: readRDMADevices(),
localRdmaActivePorts: readRDMAActivePorts()
)
}
private func readRDMAStatus() -> RDMAStatus {
let rdmaCtlEnabled = readRDMACtlEnabled()
let devices = readRDMADevices()
let activePorts = readRDMAActivePorts()
return RDMAStatus(
rdmaCtlEnabled: rdmaCtlEnabled, devices: devices, activePorts: activePorts)
}
private func readRDMACtlEnabled() -> Bool? {
let result = runCommand(["rdma_ctl", "status"])
guard result.exitCode == 0 else { return nil }
let output = result.output.lowercased().trimmingCharacters(in: .whitespacesAndNewlines)
if output.contains("enabled") {
return true
}
if output.contains("disabled") {
return false
}
return nil
}
private func readRDMADevices() -> [String] {
let result = runCommand(["ibv_devices"])
guard result.exitCode == 0 else { return [] }
@@ -216,7 +216,7 @@ struct InstanceTaskViewModel: Identifiable, Equatable {
let promptPreview: String?
let errorMessage: String?
let subtitle: String?
let parameters: ChatCompletionTaskParameters?
let parameters: TextGenerationTaskParameters?
var title: String {
switch kind {
+85
View File
@@ -0,0 +1,85 @@
//
// main.swift
// EXO
//
// Created by Jake Hillion on 2026-02-03.
//
import Foundation
/// Command line options for the EXO app
enum CLICommand {
case install
case uninstall
case help
case none
}
/// Parse command line arguments to determine the CLI command
func parseArguments() -> CLICommand {
let args = CommandLine.arguments
if args.contains("--help") || args.contains("-h") {
return .help
}
if args.contains("--install") {
return .install
}
if args.contains("--uninstall") {
return .uninstall
}
return .none
}
/// Print usage information
func printUsage() {
let programName = (CommandLine.arguments.first as NSString?)?.lastPathComponent ?? "EXO"
print(
"""
Usage: \(programName) [OPTIONS]
Options:
--install Install EXO network configuration (requires root)
--uninstall Uninstall EXO network configuration (requires root)
--help, -h Show this help message
When run without options, starts the normal GUI application.
Examples:
sudo \(programName) --install Install network components as root
sudo \(programName) --uninstall Remove network components as root
""")
}
/// Check if running as root
func isRunningAsRoot() -> Bool {
return getuid() == 0
}
// Main entry point
let command = parseArguments()
switch command {
case .help:
printUsage()
exit(0)
case .install:
if !isRunningAsRoot() {
fputs("Error: --install requires root privileges. Run with sudo.\n", stderr)
exit(1)
}
let success = NetworkSetupHelper.installDirectly()
exit(success ? 0 : 1)
case .uninstall:
if !isRunningAsRoot() {
fputs("Error: --uninstall requires root privileges. Run with sudo.\n", stderr)
exit(1)
}
let success = NetworkSetupHelper.uninstallDirectly()
exit(success ? 0 : 1)
case .none:
// Start normal GUI application
EXOApp.main()
}
+255 -42
View File
@@ -19,6 +19,11 @@ from urllib.parse import urlencode
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
@@ -283,6 +288,151 @@ def resolve_model_short_id(client: ExoClient, model_arg: str) -> tuple[str, str]
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":
@@ -388,6 +538,66 @@ 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",
@@ -431,7 +641,12 @@ def main() -> int:
ap.add_argument(
"--skip-pipeline-jaccl",
action="store_true",
help="Pipeline jaccl is often pointless, skip by default",
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."
@@ -450,6 +665,7 @@ def main() -> int:
default="bench/results.json",
help="Write raw per-run results JSON to this path.",
)
ap.add_argument("--stdout", action="store_true", help="Write results to stdout")
ap.add_argument(
"--dry-run", action="store_true", help="List selected placements and exit."
)
@@ -458,6 +674,17 @@ 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)
@@ -481,11 +708,6 @@ def main() -> int:
client = ExoClient(args.host, args.port, timeout_s=args.timeout)
short_id, full_model_id = resolve_model_short_id(client, args.model)
previews_resp = client.request_json(
"GET", "/instance/previews", params={"model_id": full_model_id}
)
previews = previews_resp.get("previews") or []
tokenizer = load_tokenizer_for_bench(full_model_id)
if tokenizer is None:
raise RuntimeError("[exo-bench] tokenizer load failed")
@@ -497,44 +719,23 @@ def main() -> int:
logger.error("[exo-bench] tokenizer usable but prompt sizing failed")
raise
selected: list[dict[str, Any]] = []
for p in previews:
if p.get("error") is not None:
continue
if not placement_filter(str(p.get("instance_meta", "")), args.instance_meta):
continue
if not sharding_filter(str(p.get("sharding", "")), args.sharding):
continue
settle_deadline = (
time.monotonic() + args.settle_timeout if args.settle_timeout > 0 else None
)
instance = p.get("instance")
if not isinstance(instance, dict):
continue
selected = fetch_and_filter_placements(client, full_model_id, args)
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()
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)..."
)
):
continue
if (
args.skip_pipeline_jaccl
and (
args.instance_meta == "both"
and "jaccl" in p.get("instance_meta", "").lower()
)
and (
args.sharding == "both" and "pipeline" in p.get("sharding", "").lower()
)
):
continue
if args.min_nodes <= n <= args.max_nodes:
selected.append(p)
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.")
@@ -559,6 +760,16 @@ def main() -> int:
if args.dry_run:
return 0
logger.info("Planning phase: checking downloads...")
run_planning_phase(
client,
full_model_id,
selected[0],
args.danger_delete_downloads,
args.timeout,
settle_deadline,
)
all_rows: list[dict[str, Any]] = []
for preview in selected:
@@ -652,7 +863,9 @@ def main() -> int:
time.sleep(5)
if args.json_out:
if args.stdout:
json.dump(all_rows, sys.stdout, indent=2, ensure_ascii=False)
elif args.json_out:
with open(args.json_out, "w", encoding="utf-8") as f:
json.dump(all_rows, f, indent=2, ensure_ascii=False)
logger.debug(f"\nWrote results JSON: {args.json_out}")
+16
View File
@@ -0,0 +1,16 @@
[project]
name = "exo-bench"
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",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
View File
+1
View File
@@ -0,0 +1 @@
collect_ignore = ["tests/start_distributed_test.py"]
+52 -4
View File
@@ -12,6 +12,8 @@
ttftMs,
tps,
totalTokens,
thinkingEnabled as thinkingEnabledStore,
setConversationThinking,
} from "$lib/stores/app.svelte";
import ChatAttachments from "./ChatAttachments.svelte";
import ImageParamsPanel from "./ImageParamsPanel.svelte";
@@ -25,6 +27,7 @@
autofocus?: boolean;
showModelSelector?: boolean;
modelTasks?: Record<string, string[]>;
modelCapabilities?: Record<string, string[]>;
}
let {
@@ -34,6 +37,7 @@
autofocus = true,
showModelSelector = false,
modelTasks = {},
modelCapabilities = {},
}: Props = $props();
let message = $state("");
@@ -41,6 +45,7 @@
let fileInputRef: HTMLInputElement | undefined = $state();
let uploadedFiles = $state<ChatUploadedFile[]>([]);
let isDragOver = $state(false);
const thinkingEnabled = $derived(thinkingEnabledStore());
let loading = $derived(isLoading());
const currentModel = $derived(selectedChatModel());
const instanceData = $derived(instances());
@@ -95,6 +100,12 @@
);
});
const modelSupportsThinking = $derived(() => {
if (!currentModel) return false;
const caps = modelCapabilities[currentModel] || [];
return caps.includes("thinking") && caps.includes("text");
});
const isEditOnlyWithoutImage = $derived(
currentModel !== null &&
modelSupportsOnlyImageEditing(currentModel) &&
@@ -254,6 +265,7 @@
function handleSubmit() {
if ((!message.trim() && uploadedFiles.length === 0) || loading) return;
if (isEditOnlyWithoutImage) return;
const content = message.trim();
const files = [...uploadedFiles];
@@ -278,11 +290,19 @@
if (imageFile.preview) {
editImage(content, imageFile.preview);
}
} else if (isImageModel() && content) {
} else if (
currentModel &&
modelSupportsTextToImage(currentModel) &&
content
) {
// Use image generation for text-to-image models
generateImage(content);
} else {
sendMessage(content, files);
sendMessage(
content,
files,
modelSupportsThinking() ? thinkingEnabled : null,
);
}
// Refocus the textarea after sending
@@ -520,6 +540,35 @@
</div>
{/if}
</div>
<!-- Thinking toggle -->
{#if modelSupportsThinking()}
<button
type="button"
onclick={() => setConversationThinking(!thinkingEnabled)}
class="flex items-center gap-1.5 px-2 py-1 rounded text-xs font-mono tracking-wide transition-all duration-200 flex-shrink-0 cursor-pointer border {thinkingEnabled
? 'bg-exo-yellow/15 border-exo-yellow/40 text-exo-yellow'
: 'bg-exo-medium-gray/30 border-exo-medium-gray/50 text-exo-light-gray/60 hover:text-exo-light-gray'}"
title={thinkingEnabled
? "Thinking enabled — click to disable"
: "Thinking disabled — click to enable"}
>
<svg
class="w-3.5 h-3.5"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
>
<path
d="M12 2a7 7 0 0 0-7 7c0 2.38 1.19 4.47 3 5.74V17a1 1 0 0 0 1 1h6a1 1 0 0 0 1-1v-2.26c1.81-1.27 3-3.36 3-5.74a7 7 0 0 0-7-7zM9 20h6M10 22h4"
stroke-linecap="round"
stroke-linejoin="round"
/>
</svg>
<span>{thinkingEnabled ? "THINK" : "NO THINK"}</span>
</button>
{/if}
<!-- Performance stats -->
{#if currentTtft !== null || currentTps !== null}
<div class="flex items-center gap-4 text-xs font-mono flex-shrink-0">
@@ -599,9 +648,8 @@
: isImageModel()
? "Describe the image you want to generate..."
: placeholder}
disabled={loading}
rows={1}
class="flex-1 resize-none bg-transparent text-foreground placeholder:text-exo-light-gray/60 placeholder:text-sm placeholder:tracking-[0.15em] placeholder:leading-7 focus:outline-none focus:ring-0 focus:border-none disabled:opacity-50 text-sm leading-7 font-mono"
class="flex-1 resize-none bg-transparent text-foreground placeholder:text-exo-light-gray/60 placeholder:text-sm placeholder:tracking-[0.15em] placeholder:leading-7 focus:outline-none focus:ring-0 focus:border-none text-sm leading-7 font-mono"
style="min-height: 28px; max-height: 150px;"
></textarea>
+124 -15
View File
@@ -6,11 +6,14 @@
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 ImageLightbox from "./ImageLightbox.svelte";
interface Props {
class?: string;
@@ -99,6 +102,26 @@
let copiedMessageId = $state<string | null>(null);
let expandedThinkingMessageIds = $state<Set<string>>(new Set());
// Lightbox state
let expandedImageSrc = $state<string | null>(null);
// Uncertainty heatmap toggle
let heatmapMessageIds = $state<Set<string>>(new Set());
function toggleHeatmap(messageId: string) {
const next = new Set(heatmapMessageIds);
if (next.has(messageId)) {
next.delete(messageId);
} else {
next.add(messageId);
}
heatmapMessageIds = next;
}
function isHeatmapVisible(messageId: string): boolean {
return heatmapMessageIds.has(messageId);
}
function formatTimestamp(timestamp: number): string {
return new Date(timestamp).toLocaleTimeString("en-US", {
hour12: false,
@@ -202,6 +225,7 @@
}
function handleDeleteClick(messageId: string) {
if (loading) return;
deleteConfirmId = messageId;
}
@@ -232,7 +256,7 @@
</script>
<div class="flex flex-col gap-4 sm:gap-6 {className}">
{#each messageList as message (message.id)}
{#each messageList as message, i (message.id)}
<div
class="group flex {message.role === 'user'
? 'justify-end'
@@ -294,9 +318,11 @@
<!-- Delete confirmation -->
<div class="bg-red-500/10 border border-red-500/30 rounded-lg p-3">
<p class="text-xs text-red-400 mb-3">
Delete this message{message.role === "user"
? " and all responses after it"
: ""}?
{#if i === messageList.length - 1}
Delete this message?
{:else}
Delete this message and all messages after it?
{/if}
</p>
<div class="flex gap-2 justify-end">
<button
@@ -370,10 +396,15 @@
class="flex items-center gap-2 bg-exo-dark-gray/60 border border-exo-yellow/20 rounded px-2 py-1 text-xs font-mono"
>
{#if attachment.type === "image" && attachment.preview}
<!-- svelte-ignore a11y_no_noninteractive_element_interactions, a11y_click_events_have_key_events -->
<img
src={attachment.preview}
alt={attachment.name}
class="w-12 h-12 object-cover rounded border border-exo-yellow/20"
class="w-12 h-12 object-cover rounded border border-exo-yellow/20 cursor-pointer hover:border-exo-yellow/50 transition-colors"
onclick={() => {
if (attachment.preview)
expandedImageSrc = attachment.preview;
}}
/>
{:else}
<span>{getAttachmentIcon(attachment)}</span>
@@ -447,15 +478,44 @@
<div class="mb-3">
{#each message.attachments.filter((a) => a.type === "generated-image") as attachment}
<div class="relative group/img inline-block">
<!-- svelte-ignore a11y_no_noninteractive_element_interactions, a11y_click_events_have_key_events -->
<img
src={attachment.preview}
alt=""
class="max-w-full max-h-[512px] rounded-lg border border-exo-yellow/20 shadow-lg shadow-black/20"
class="max-w-full max-h-[512px] rounded-lg border border-exo-yellow/20 shadow-lg shadow-black/20 cursor-pointer"
onclick={() => {
if (attachment.preview)
expandedImageSrc = attachment.preview;
}}
/>
<!-- Button overlay -->
<div
class="absolute top-2 right-2 flex gap-1 opacity-0 group-hover/img:opacity-100 transition-opacity"
>
<!-- Expand button -->
<button
type="button"
class="p-2 rounded-lg bg-exo-dark-gray/80 border border-exo-yellow/30 text-exo-yellow hover:bg-exo-dark-gray hover:border-exo-yellow/50 cursor-pointer"
onclick={() => {
if (attachment.preview)
expandedImageSrc = attachment.preview;
}}
title="Expand image"
>
<svg
class="w-4 h-4"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M4 8V4m0 0h4M4 4l5 5m11-1V4m0 0h-4m4 0l-5 5M4 16v4m0 0h4m-4 0l5-5m11 5l-5-5m5 5v-4m0 4h-4"
/>
</svg>
</button>
<!-- Edit button -->
<button
type="button"
@@ -548,13 +608,23 @@
>
</div>
{:else if message.content || (loading && !message.attachments?.some((a) => a.type === "generated-image"))}
<MarkdownContent
content={message.content || (loading ? response : "")}
/>
{#if loading && !message.content}
<span
class="inline-block w-2 h-4 bg-exo-yellow/70 ml-1 cursor-blink"
></span>
{#if isHeatmapVisible(message.id) && message.tokens && message.tokens.length > 0}
<TokenHeatmap
tokens={message.tokens}
isGenerating={loading &&
isLastAssistantMessage(message.id)}
onRegenerateFrom={(tokenIndex) =>
regenerateFromToken(message.id, tokenIndex)}
/>
{:else}
<MarkdownContent
content={message.content || (loading ? response : "")}
/>
{#if loading && !message.content}
<span
class="inline-block w-2 h-4 bg-exo-yellow/70 ml-1 cursor-blink"
></span>
{/if}
{/if}
{/if}
</div>
@@ -629,6 +699,35 @@
</button>
{/if}
<!-- Uncertainty heatmap toggle (assistant messages with tokens) -->
{#if message.role === "assistant" && message.tokens && message.tokens.length > 0}
<button
onclick={() => toggleHeatmap(message.id)}
class="p-1.5 transition-colors rounded cursor-pointer {isHeatmapVisible(
message.id,
)
? 'text-exo-yellow'
: 'text-exo-light-gray hover:text-exo-yellow'}"
title={isHeatmapVisible(message.id)
? "Hide uncertainty heatmap"
: "Show uncertainty heatmap"}
>
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M9 19v-6a2 2 0 00-2-2H5a2 2 0 00-2 2v6a2 2 0 002 2h2a2 2 0 002-2zm0 0V9a2 2 0 012-2h2a2 2 0 012 2v10m-6 0a2 2 0 002 2h2a2 2 0 002-2m0 0V5a2 2 0 012-2h2a2 2 0 012 2v14a2 2 0 01-2 2h-2a2 2 0 01-2-2z"
/>
</svg>
</button>
{/if}
<!-- Regenerate button (last assistant message only) -->
{#if message.role === "assistant" && isLastAssistantMessage(message.id) && !loading}
<button
@@ -655,8 +754,13 @@
<!-- Delete button -->
<button
onclick={() => handleDeleteClick(message.id)}
class="p-1.5 text-exo-light-gray hover:text-red-400 transition-colors rounded hover:bg-red-500/10 cursor-pointer"
title="Delete message"
disabled={loading}
class="p-1.5 transition-colors rounded {loading
? 'text-exo-light-gray/30 cursor-not-allowed'
: 'text-exo-light-gray hover:text-red-400 hover:bg-red-500/10 cursor-pointer'}"
title={loading
? "Cannot delete while generating"
: "Delete message"}
>
<svg
class="w-3.5 h-3.5"
@@ -731,3 +835,8 @@
</button>
{/if}
</div>
<ImageLightbox
src={expandedImageSrc}
onclose={() => (expandedImageSrc = null)}
/>
@@ -0,0 +1,91 @@
<script lang="ts">
type FamilyLogoProps = {
family: string;
class?: string;
};
let { family, class: className = "" }: FamilyLogoProps = $props();
</script>
{#if family === "favorites"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z"
/>
</svg>
{:else if family === "recents"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M13 3a9 9 0 0 0-9 9H1l3.89 3.89.07.14L9 12H6c0-3.87 3.13-7 7-7s7 3.13 7 7-3.13 7-7 7c-1.93 0-3.68-.79-4.94-2.06l-1.42 1.42A8.954 8.954 0 0 0 13 21a9 9 0 0 0 0-18zm-1 5v5l4.28 2.54.72-1.21-3.5-2.08V8H12z"
/>
</svg>
{:else if family === "llama" || family === "meta"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M6.915 4.03c-1.968 0-3.683 1.28-4.871 3.113C.704 9.208 0 11.883 0 14.449c0 .706.07 1.369.21 1.973a6.624 6.624 0 0 0 .265.86 5.297 5.297 0 0 0 .371.761c.696 1.159 1.818 1.927 3.593 1.927 1.497 0 2.633-.671 3.965-2.444.76-1.012 1.144-1.626 2.663-4.32l.756-1.339.186-.325c.061.1.121.196.183.3l2.152 3.595c.724 1.21 1.665 2.556 2.47 3.314 1.046.987 1.992 1.22 3.06 1.22 1.075 0 1.876-.355 2.455-.843a3.743 3.743 0 0 0 .81-.973c.542-.939.861-2.127.861-3.745 0-2.72-.681-5.357-2.084-7.45-1.282-1.912-2.957-2.93-4.716-2.93-1.047 0-2.088.467-3.053 1.308-.652.57-1.257 1.29-1.82 2.05-.69-.875-1.335-1.547-1.958-2.056-1.182-.966-2.315-1.303-3.454-1.303zm10.16 2.053c1.147 0 2.188.758 2.992 1.999 1.132 1.748 1.647 4.195 1.647 6.4 0 1.548-.368 2.9-1.839 2.9-.58 0-1.027-.23-1.664-1.004-.496-.601-1.343-1.878-2.832-4.358l-.617-1.028a44.908 44.908 0 0 0-1.255-1.98c.07-.109.141-.224.211-.327 1.12-1.667 2.118-2.602 3.358-2.602zm-10.201.553c1.265 0 2.058.791 2.675 1.446.307.327.737.871 1.234 1.579l-1.02 1.566c-.757 1.163-1.882 3.017-2.837 4.338-1.191 1.649-1.81 1.817-2.486 1.817-.524 0-1.038-.237-1.383-.794-.263-.426-.464-1.13-.464-2.046 0-2.221.63-4.535 1.66-6.088.454-.687.964-1.226 1.533-1.533a2.264 2.264 0 0 1 1.088-.285z"
/>
</svg>
{:else if family === "qwen"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M12.604 1.34c.393.69.784 1.382 1.174 2.075a.18.18 0 00.157.091h5.552c.174 0 .322.11.446.327l1.454 2.57c.19.337.24.478.024.837-.26.43-.513.864-.76 1.3l-.367.658c-.106.196-.223.28-.04.512l2.652 4.637c.172.301.111.494-.043.77-.437.785-.882 1.564-1.335 2.34-.159.272-.352.375-.68.37-.777-.016-1.552-.01-2.327.016a.099.099 0 00-.081.05 575.097 575.097 0 01-2.705 4.74c-.169.293-.38.363-.725.364-.997.003-2.002.004-3.017.002a.537.537 0 01-.465-.271l-1.335-2.323a.09.09 0 00-.083-.049H4.982c-.285.03-.553-.001-.805-.092l-1.603-2.77a.543.543 0 01-.002-.54l1.207-2.12a.198.198 0 000-.197 550.951 550.951 0 01-1.875-3.272l-.79-1.395c-.16-.31-.173-.496.095-.965.465-.813.927-1.625 1.387-2.436.132-.234.304-.334.584-.335a338.3 338.3 0 012.589-.001.124.124 0 00.107-.063l2.806-4.895a.488.488 0 01.422-.246c.524-.001 1.053 0 1.583-.006L11.704 1c.341-.003.724.032.9.34zm-3.432.403a.06.06 0 00-.052.03L6.254 6.788a.157.157 0 01-.135.078H3.253c-.056 0-.07.025-.041.074l5.81 10.156c.025.042.013.062-.034.063l-2.795.015a.218.218 0 00-.2.116l-1.32 2.31c-.044.078-.021.118.068.118l5.716.008c.046 0 .08.02.104.061l1.403 2.454c.046.081.092.082.139 0l5.006-8.76.783-1.382a.055.055 0 01.096 0l1.424 2.53a.122.122 0 00.107.062l2.763-.02a.04.04 0 00.035-.02.041.041 0 000-.04l-2.9-5.086a.108.108 0 010-.113l.293-.507 1.12-1.977c.024-.041.012-.062-.035-.062H9.2c-.059 0-.073-.026-.043-.077l1.434-2.505a.107.107 0 000-.114L9.225 1.774a.06.06 0 00-.053-.031zm6.29 8.02c.046 0 .058.02.034.06l-.832 1.465-2.613 4.585a.056.056 0 01-.05.029.058.058 0 01-.05-.029L8.498 9.841c-.02-.034-.01-.052.028-.054l.216-.012 6.722-.012z"
/>
</svg>
{:else if family === "deepseek"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M23.748 4.482c-.254-.124-.364.113-.512.234-.051.039-.094.09-.137.136-.372.397-.806.657-1.373.626-.829-.046-1.537.214-2.163.848-.133-.782-.575-1.248-1.247-1.548-.352-.156-.708-.311-.955-.65-.172-.241-.219-.51-.305-.774-.055-.16-.11-.323-.293-.35-.2-.031-.278.136-.356.276-.313.572-.434 1.202-.422 1.84.027 1.436.633 2.58 1.838 3.393.137.093.172.187.129.323-.082.28-.18.552-.266.833-.055.179-.137.217-.329.14a5.526 5.526 0 01-1.736-1.18c-.857-.828-1.631-1.742-2.597-2.458a11.365 11.365 0 00-.689-.471c-.985-.957.13-1.743.388-1.836.27-.098.093-.432-.779-.428-.872.004-1.67.295-2.687.684a3.055 3.055 0 01-.465.137 9.597 9.597 0 00-2.883-.102c-1.885.21-3.39 1.102-4.497 2.623C.082 8.606-.231 10.684.152 12.85c.403 2.284 1.569 4.175 3.36 5.653 1.858 1.533 3.997 2.284 6.438 2.14 1.482-.085 3.133-.284 4.994-1.86.47.234.962.327 1.78.397.63.059 1.236-.03 1.705-.128.735-.156.684-.837.419-.961-2.155-1.004-1.682-.595-2.113-.926 1.096-1.296 2.746-2.642 3.392-7.003.05-.347.007-.565 0-.845-.004-.17.035-.237.23-.256a4.173 4.173 0 001.545-.475c1.396-.763 1.96-2.015 2.093-3.517.02-.23-.004-.467-.247-.588zM11.581 18c-2.089-1.642-3.102-2.183-3.52-2.16-.392.024-.321.471-.235.763.09.288.207.486.371.739.114.167.192.416-.113.603-.673.416-1.842-.14-1.897-.167-1.361-.802-2.5-1.86-3.301-3.307-.774-1.393-1.224-2.887-1.298-4.482-.02-.386.093-.522.477-.592a4.696 4.696 0 011.529-.039c2.132.312 3.946 1.265 5.468 2.774.868.86 1.525 1.887 2.202 2.891.72 1.066 1.494 2.082 2.48 2.914.348.292.625.514.891.677-.802.09-2.14.11-3.054-.614zm1-6.44a.306.306 0 01.415-.287.302.302 0 01.2.288.306.306 0 01-.31.307.303.303 0 01-.304-.308zm3.11 1.596c-.2.081-.399.151-.59.16a1.245 1.245 0 01-.798-.254c-.274-.23-.47-.358-.552-.758a1.73 1.73 0 01.016-.588c.07-.327-.008-.537-.239-.727-.187-.156-.426-.199-.688-.199a.559.559 0 01-.254-.078c-.11-.054-.2-.19-.114-.358.028-.054.16-.186.192-.21.356-.202.767-.136 1.146.016.352.144.618.408 1.001.782.391.451.462.576.685.914.176.265.336.537.445.848.067.195-.019.354-.25.452z"
/>
</svg>
{:else if family === "openai" || family === "gpt-oss"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M22.2819 9.8211a5.9847 5.9847 0 0 0-.5157-4.9108 6.0462 6.0462 0 0 0-6.5098-2.9A6.0651 6.0651 0 0 0 4.9807 4.1818a5.9847 5.9847 0 0 0-3.9977 2.9 6.0462 6.0462 0 0 0 .7427 7.0966 5.98 5.98 0 0 0 .511 4.9107 6.051 6.051 0 0 0 6.5146 2.9001A5.9847 5.9847 0 0 0 13.2599 24a6.0557 6.0557 0 0 0 5.7718-4.2058 5.9894 5.9894 0 0 0 3.9977-2.9001 6.0557 6.0557 0 0 0-.7475-7.0729zm-9.022 12.6081a4.4755 4.4755 0 0 1-2.8764-1.0408l.1419-.0804 4.7783-2.7582a.7948.7948 0 0 0 .3927-.6813v-6.7369l2.02 1.1686a.071.071 0 0 1 .038.052v5.5826a4.504 4.504 0 0 1-4.4945 4.4944zm-9.6607-4.1254a4.4708 4.4708 0 0 1-.5346-3.0137l.142.0852 4.783 2.7582a.7712.7712 0 0 0 .7806 0l5.8428-3.3685v2.3324a.0804.0804 0 0 1-.0332.0615L9.74 19.9502a4.4992 4.4992 0 0 1-6.1408-1.6464zM2.3408 7.8956a4.485 4.485 0 0 1 2.3655-1.9728V11.6a.7664.7664 0 0 0 .3879.6765l5.8144 3.3543-2.0201 1.1685a.0757.0757 0 0 1-.071 0l-4.8303-2.7865A4.504 4.504 0 0 1 2.3408 7.872zm16.5963 3.8558L13.1038 8.364 15.1192 7.2a.0757.0757 0 0 1 .071 0l4.8303 2.7913a4.4944 4.4944 0 0 1-.6765 8.1042v-5.6772a.79.79 0 0 0-.407-.667zm2.0107-3.0231l-.142-.0852-4.7735-2.7818a.7759.7759 0 0 0-.7854 0L9.409 9.2297V6.8974a.0662.0662 0 0 1 .0284-.0615l4.8303-2.7866a4.4992 4.4992 0 0 1 6.6802 4.66zM8.3065 12.863l-2.02-1.1638a.0804.0804 0 0 1-.038-.0567V6.0742a4.4992 4.4992 0 0 1 7.3757-3.4537l-.142.0805L8.704 5.459a.7948.7948 0 0 0-.3927.6813zm1.0976-2.3654l2.602-1.4998 2.6069 1.4998v2.9994l-2.5974 1.4997-2.6067-1.4997Z"
/>
</svg>
{:else if family === "glm"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M11.991 23.503a.24.24 0 00-.244.248.24.24 0 00.244.249.24.24 0 00.245-.249.24.24 0 00-.22-.247l-.025-.001zM9.671 5.365a1.697 1.697 0 011.099 2.132l-.071.172-.016.04-.018.054c-.07.16-.104.32-.104.498-.035.71.47 1.279 1.186 1.314h.366c1.309.053 2.338 1.173 2.286 2.523-.052 1.332-1.152 2.38-2.478 2.327h-.174c-.715.018-1.274.64-1.239 1.368 0 .124.018.23.053.337.209.373.54.658.96.8.75.23 1.517-.125 1.9-.782l.018-.035c.402-.64 1.17-.96 1.92-.711.854.284 1.378 1.226 1.099 2.167a1.661 1.661 0 01-2.077 1.102 1.711 1.711 0 01-.907-.711l-.017-.035c-.2-.323-.463-.58-.851-.711l-.056-.018a1.646 1.646 0 00-1.954.746 1.66 1.66 0 01-1.065.764 1.677 1.677 0 01-1.989-1.279c-.209-.906.332-1.83 1.257-2.043a1.51 1.51 0 01.296-.035h.018c.68-.071 1.151-.622 1.116-1.333a1.307 1.307 0 00-.227-.693 2.515 2.515 0 01-.366-1.403 2.39 2.39 0 01.366-1.208c.14-.195.21-.444.227-.693.018-.71-.506-1.261-1.186-1.332l-.07-.018a1.43 1.43 0 01-.299-.07l-.05-.019a1.7 1.7 0 01-1.047-2.114 1.68 1.68 0 012.094-1.101zm-5.575 10.11c.26-.264.639-.367.994-.27.355.096.633.379.728.74.095.362-.007.748-.267 1.013-.402.41-1.053.41-1.455 0a1.062 1.062 0 010-1.482zm14.845-.294c.359-.09.738.024.992.297.254.274.344.665.237 1.025-.107.36-.396.634-.756.718-.551.128-1.1-.22-1.23-.781a1.05 1.05 0 01.757-1.26zm-.064-4.39c.314.32.49.753.49 1.206 0 .452-.176.886-.49 1.206-.315.32-.74.5-1.185.5-.444 0-.87-.18-1.184-.5a1.727 1.727 0 010-2.412 1.654 1.654 0 012.369 0zm-11.243.163c.364.484.447 1.128.218 1.691a1.665 1.665 0 01-2.188.923c-.855-.36-1.26-1.358-.907-2.228a1.68 1.68 0 011.33-1.038c.593-.08 1.183.169 1.547.652zm11.545-4.221c.368 0 .708.2.892.524.184.324.184.724 0 1.048a1.026 1.026 0 01-.892.524c-.568 0-1.03-.47-1.03-1.048 0-.579.462-1.048 1.03-1.048zm-14.358 0c.368 0 .707.2.891.524.184.324.184.724 0 1.048a1.026 1.026 0 01-.891.524c-.569 0-1.03-.47-1.03-1.048 0-.579.461-1.048 1.03-1.048zm10.031-1.475c.925 0 1.675.764 1.675 1.706s-.75 1.705-1.675 1.705-1.674-.763-1.674-1.705c0-.942.75-1.706 1.674-1.706zm-2.626-.684c.362-.082.653-.356.761-.718a1.062 1.062 0 00-.238-1.028 1.017 1.017 0 00-.996-.294c-.547.14-.881.7-.752 1.257.13.558.675.907 1.225.783zm0 16.876c.359-.087.644-.36.75-.72a1.062 1.062 0 00-.237-1.019 1.018 1.018 0 00-.985-.301 1.037 1.037 0 00-.762.717c-.108.361-.017.754.239 1.028.245.263.606.377.953.305l.043-.01zM17.19 3.5a.631.631 0 00.628-.64c0-.355-.279-.64-.628-.64a.631.631 0 00-.628.64c0 .355.28.64.628.64zm-10.38 0a.631.631 0 00.628-.64c0-.355-.28-.64-.628-.64a.631.631 0 00-.628.64c0 .355.279.64.628.64zm-5.182 7.852a.631.631 0 00-.628.64c0 .354.28.639.628.639a.63.63 0 00.627-.606l.001-.034a.62.62 0 00-.628-.64zm5.182 9.13a.631.631 0 00-.628.64c0 .355.279.64.628.64a.631.631 0 00.628-.64c0-.355-.28-.64-.628-.64zm10.38.018a.631.631 0 00-.628.64c0 .355.28.64.628.64a.631.631 0 00.628-.64c0-.355-.279-.64-.628-.64zm5.182-9.148a.631.631 0 00-.628.64c0 .354.279.639.628.639a.631.631 0 00.628-.64c0-.355-.28-.64-.628-.64zm-.384-4.992a.24.24 0 00.244-.249.24.24 0 00-.244-.249.24.24 0 00-.244.249c0 .142.122.249.244.249zM11.991.497a.24.24 0 00.245-.248A.24.24 0 0011.99 0a.24.24 0 00-.244.249c0 .133.108.236.223.247l.021.001zM2.011 6.36a.24.24 0 00.245-.249.24.24 0 00-.244-.249.24.24 0 00-.244.249.24.24 0 00.244.249zm0 11.263a.24.24 0 00-.243.248.24.24 0 00.244.249.24.24 0 00.244-.249.252.252 0 00-.244-.248zm19.995-.018a.24.24 0 00-.245.248.24.24 0 00.245.25.24.24 0 00.244-.25.252.252 0 00-.244-.248z"
/>
</svg>
{:else if family === "minimax"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M16.278 2c1.156 0 2.093.927 2.093 2.07v12.501a.74.74 0 00.744.709.74.74 0 00.743-.709V9.099a2.06 2.06 0 012.071-2.049A2.06 2.06 0 0124 9.1v6.561a.649.649 0 01-.652.645.649.649 0 01-.653-.645V9.1a.762.762 0 00-.766-.758.762.762 0 00-.766.758v7.472a2.037 2.037 0 01-2.048 2.026 2.037 2.037 0 01-2.048-2.026v-12.5a.785.785 0 00-.788-.753.785.785 0 00-.789.752l-.001 15.904A2.037 2.037 0 0113.441 22a2.037 2.037 0 01-2.048-2.026V18.04c0-.356.292-.645.652-.645.36 0 .652.289.652.645v1.934c0 .263.142.506.372.638.23.131.514.131.744 0a.734.734 0 00.372-.638V4.07c0-1.143.937-2.07 2.093-2.07zm-5.674 0c1.156 0 2.093.927 2.093 2.07v11.523a.648.648 0 01-.652.645.648.648 0 01-.652-.645V4.07a.785.785 0 00-.789-.78.785.785 0 00-.789.78v14.013a2.06 2.06 0 01-2.07 2.048 2.06 2.06 0 01-2.071-2.048V9.1a.762.762 0 00-.766-.758.762.762 0 00-.766.758v3.8a2.06 2.06 0 01-2.071 2.049A2.06 2.06 0 010 12.9v-1.378c0-.357.292-.646.652-.646.36 0 .653.29.653.646V12.9c0 .418.343.757.766.757s.766-.339.766-.757V9.099a2.06 2.06 0 012.07-2.048 2.06 2.06 0 012.071 2.048v8.984c0 .419.343.758.767.758.423 0 .766-.339.766-.758V4.07c0-1.143.937-2.07 2.093-2.07z"
/>
</svg>
{:else if family === "kimi"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M19.738 5.776c.163-.209.306-.4.457-.585.07-.087.064-.153-.004-.244-.655-.861-.717-1.817-.34-2.787.283-.73.909-1.072 1.674-1.145.477-.045.945.004 1.379.236.57.305.902.77 1.01 1.412.086.512.07 1.012-.075 1.508-.257.878-.888 1.333-1.753 1.448-.718.096-1.446.108-2.17.157-.056.004-.113 0-.178 0z"
/>
<path
d="M17.962 1.844h-4.326l-3.425 7.81H5.369V1.878H1.5V22h3.87v-8.477h6.824a3.025 3.025 0 002.743-1.75V22h3.87v-8.477a3.87 3.87 0 00-3.588-3.86v-.01h-2.125a3.94 3.94 0 002.323-2.12l2.545-5.689z"
/>
</svg>
{:else if family === "flux"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M12 2L2 19h7.5l2.5-4.5L14.5 19H22L12 2zm0 4.5L16.5 17h-3l-1.5-2.7L10.5 17h-3L12 6.5z"
/>
</svg>
{:else if family === "qwen-image"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M12.604 1.34c.393.69.784 1.382 1.174 2.075a.18.18 0 00.157.091h5.552c.174 0 .322.11.446.327l1.454 2.57c.19.337.24.478.024.837-.26.43-.513.864-.76 1.3l-.367.658c-.106.196-.223.28-.04.512l2.652 4.637c.172.301.111.494-.043.77-.437.785-.882 1.564-1.335 2.34-.159.272-.352.375-.68.37-.777-.016-1.552-.01-2.327.016a.099.099 0 00-.081.05 575.097 575.097 0 01-2.705 4.74c-.169.293-.38.363-.725.364-.997.003-2.002.004-3.017.002a.537.537 0 01-.465-.271l-1.335-2.323a.09.09 0 00-.083-.049H4.982c-.285.03-.553-.001-.805-.092l-1.603-2.77a.543.543 0 01-.002-.54l1.207-2.12a.198.198 0 000-.197 550.951 550.951 0 01-1.875-3.272l-.79-1.395c-.16-.31-.173-.496.095-.965.465-.813.927-1.625 1.387-2.436.132-.234.304-.334.584-.335a338.3 338.3 0 012.589-.001.124.124 0 00.107-.063l2.806-4.895a.488.488 0 01.422-.246c.524-.001 1.053 0 1.583-.006L11.704 1c.341-.003.724.032.9.34zm-3.432.403a.06.06 0 00-.052.03L6.254 6.788a.157.157 0 01-.135.078H3.253c-.056 0-.07.025-.041.074l5.81 10.156c.025.042.013.062-.034.063l-2.795.015a.218.218 0 00-.2.116l-1.32 2.31c-.044.078-.021.118.068.118l5.716.008c.046 0 .08.02.104.061l1.403 2.454c.046.081.092.082.139 0l5.006-8.76.783-1.382a.055.055 0 01.096 0l1.424 2.53a.122.122 0 00.107.062l2.763-.02a.04.04 0 00.035-.02.041.041 0 000-.04l-2.9-5.086a.108.108 0 010-.113l.293-.507 1.12-1.977c.024-.041.012-.062-.035-.062H9.2c-.059 0-.073-.026-.043-.077l1.434-2.505a.107.107 0 000-.114L9.225 1.774a.06.06 0 00-.053-.031zm6.29 8.02c.046 0 .058.02.034.06l-.832 1.465-2.613 4.585a.056.056 0 01-.05.029.058.058 0 01-.05-.029L8.498 9.841c-.02-.034-.01-.052.028-.054l.216-.012 6.722-.012z"
/>
</svg>
{:else if family === "huggingface"}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M12.025 1.13c-5.77 0-10.449 4.647-10.449 10.378 0 1.112.178 2.181.503 3.185.064-.222.203-.444.416-.577a.96.96 0 0 1 .524-.15c.293 0 .584.124.84.284.278.173.48.408.71.694.226.282.458.611.684.951v-.014c.017-.324.106-.622.264-.874s.403-.487.762-.543c.3-.047.596.06.787.203s.31.313.4.467c.15.257.212.468.233.542.01.026.653 1.552 1.657 2.54.616.605 1.01 1.223 1.082 1.912.055.537-.096 1.059-.38 1.572.637.121 1.294.187 1.967.187.657 0 1.298-.063 1.921-.178-.287-.517-.44-1.041-.384-1.581.07-.69.465-1.307 1.081-1.913 1.004-.987 1.647-2.513 1.657-2.539.021-.074.083-.285.233-.542.09-.154.208-.323.4-.467a1.08 1.08 0 0 1 .787-.203c.359.056.604.29.762.543s.247.55.265.874v.015c.225-.34.457-.67.683-.952.23-.286.432-.52.71-.694.257-.16.547-.284.84-.285a.97.97 0 0 1 .524.151c.228.143.373.388.43.625l.006.04a10.3 10.3 0 0 0 .534-3.273c0-5.731-4.678-10.378-10.449-10.378M8.327 6.583a1.5 1.5 0 0 1 .713.174 1.487 1.487 0 0 1 .617 2.013c-.183.343-.762-.214-1.102-.094-.38.134-.532.914-.917.71a1.487 1.487 0 0 1 .69-2.803m7.486 0a1.487 1.487 0 0 1 .689 2.803c-.385.204-.536-.576-.916-.71-.34-.12-.92.437-1.103.094a1.487 1.487 0 0 1 .617-2.013 1.5 1.5 0 0 1 .713-.174m-10.68 1.55a.96.96 0 1 1 0 1.921.96.96 0 0 1 0-1.92m13.838 0a.96.96 0 1 1 0 1.92.96.96 0 0 1 0-1.92M8.489 11.458c.588.01 1.965 1.157 3.572 1.164 1.607-.007 2.984-1.155 3.572-1.164.196-.003.305.12.305.454 0 .886-.424 2.328-1.563 3.202-.22-.756-1.396-1.366-1.63-1.32q-.011.001-.02.006l-.044.026-.01.008-.03.024q-.018.017-.035.036l-.032.04a1 1 0 0 0-.058.09l-.014.025q-.049.088-.11.19a1 1 0 0 1-.083.116 1.2 1.2 0 0 1-.173.18q-.035.029-.075.058a1.3 1.3 0 0 1-.251-.243 1 1 0 0 1-.076-.107c-.124-.193-.177-.363-.337-.444-.034-.016-.104-.008-.2.022q-.094.03-.216.087-.06.028-.125.063l-.13.074q-.067.04-.136.086a3 3 0 0 0-.135.096 3 3 0 0 0-.26.219 2 2 0 0 0-.12.121 2 2 0 0 0-.106.128l-.002.002a2 2 0 0 0-.09.132l-.001.001a1.2 1.2 0 0 0-.105.212q-.013.036-.024.073c-1.139-.875-1.563-2.317-1.563-3.203 0-.334.109-.457.305-.454m.836 10.354c.824-1.19.766-2.082-.365-3.194-1.13-1.112-1.789-2.738-1.789-2.738s-.246-.945-.806-.858-.97 1.499.202 2.362c1.173.864-.233 1.45-.685.64-.45-.812-1.683-2.896-2.322-3.295s-1.089-.175-.938.647 2.822 2.813 2.562 3.244-1.176-.506-1.176-.506-2.866-2.567-3.49-1.898.473 1.23 2.037 2.16c1.564.932 1.686 1.178 1.464 1.53s-3.675-2.511-4-1.297c-.323 1.214 3.524 1.567 3.287 2.405-.238.839-2.71-1.587-3.216-.642-.506.946 3.49 2.056 3.522 2.064 1.29.33 4.568 1.028 5.713-.624m5.349 0c-.824-1.19-.766-2.082.365-3.194 1.13-1.112 1.789-2.738 1.789-2.738s.246-.945.806-.858.97 1.499-.202 2.362c-1.173.864.233 1.45.685.64.451-.812 1.683-2.896 2.322-3.295s1.089-.175.938.647-2.822 2.813-2.562 3.244 1.176-.506 1.176-.506 2.866-2.567 3.49-1.898-.473 1.23-2.037 2.16c-1.564.932-1.686 1.178-1.464 1.53s3.675-2.511 4-1.297c.323 1.214-3.524 1.567-3.287 2.405.238.839 2.71-1.587 3.216-.642.506.946-3.49 2.056-3.522 2.064-1.29.33-4.568 1.028-5.713-.624"
/>
</svg>
{:else}
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
<path
d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm-2 15l-5-5 1.41-1.41L10 14.17l7.59-7.59L19 8l-9 9z"
/>
</svg>
{/if}
@@ -0,0 +1,176 @@
<script lang="ts">
import FamilyLogos from "./FamilyLogos.svelte";
type FamilySidebarProps = {
families: string[];
selectedFamily: string | null;
hasFavorites: boolean;
hasRecents: boolean;
onSelect: (family: string | null) => void;
};
let {
families,
selectedFamily,
hasFavorites,
hasRecents,
onSelect,
}: FamilySidebarProps = $props();
// Family display names
const familyNames: Record<string, string> = {
favorites: "Favorites",
recents: "Recent",
huggingface: "Hub",
llama: "Meta",
qwen: "Qwen",
deepseek: "DeepSeek",
"gpt-oss": "OpenAI",
glm: "GLM",
minimax: "MiniMax",
kimi: "Kimi",
flux: "FLUX",
"qwen-image": "Qwen Img",
};
function getFamilyName(family: string): string {
return (
familyNames[family] || family.charAt(0).toUpperCase() + family.slice(1)
);
}
</script>
<div
class="flex flex-col gap-1 py-2 px-1 border-r border-exo-yellow/10 bg-exo-medium-gray/30 min-w-[64px] overflow-y-auto scrollbar-hide"
>
<!-- All models (no filter) -->
<button
type="button"
onclick={() => onSelect(null)}
class="group flex flex-col items-center justify-center p-2 rounded transition-all duration-200 cursor-pointer {selectedFamily ===
null
? 'bg-exo-yellow/20 border-l-2 border-exo-yellow'
: 'hover:bg-white/5 border-l-2 border-transparent'}"
title="All models"
>
<svg
class="w-5 h-5 {selectedFamily === null
? 'text-exo-yellow'
: 'text-white/50 group-hover:text-white/70'}"
viewBox="0 0 24 24"
fill="currentColor"
>
<path
d="M4 8h4V4H4v4zm6 12h4v-4h-4v4zm-6 0h4v-4H4v4zm0-6h4v-4H4v4zm6 0h4v-4h-4v4zm6-10v4h4V4h-4zm-6 4h4V4h-4v4zm6 6h4v-4h-4v4zm0 6h4v-4h-4v4z"
/>
</svg>
<span
class="text-[9px] font-mono mt-0.5 {selectedFamily === null
? 'text-exo-yellow'
: 'text-white/40 group-hover:text-white/60'}">All</span
>
</button>
<!-- Favorites (only show if has favorites) -->
{#if hasFavorites}
<button
type="button"
onclick={() => onSelect("favorites")}
class="group flex flex-col items-center justify-center p-2 rounded transition-all duration-200 cursor-pointer {selectedFamily ===
'favorites'
? 'bg-exo-yellow/20 border-l-2 border-exo-yellow'
: 'hover:bg-white/5 border-l-2 border-transparent'}"
title="Show favorited models"
>
<FamilyLogos
family="favorites"
class={selectedFamily === "favorites"
? "text-amber-400"
: "text-white/50 group-hover:text-amber-400/70"}
/>
<span
class="text-[9px] font-mono mt-0.5 {selectedFamily === 'favorites'
? 'text-amber-400'
: 'text-white/40 group-hover:text-white/60'}">Faves</span
>
</button>
{/if}
<!-- Recent (only show if has recent models) -->
{#if hasRecents}
<button
type="button"
onclick={() => onSelect("recents")}
class="group flex flex-col items-center justify-center p-2 rounded transition-all duration-200 cursor-pointer {selectedFamily ===
'recents'
? 'bg-exo-yellow/20 border-l-2 border-exo-yellow'
: 'hover:bg-white/5 border-l-2 border-transparent'}"
title="Recently launched models"
>
<FamilyLogos
family="recents"
class={selectedFamily === "recents"
? "text-exo-yellow"
: "text-white/50 group-hover:text-white/70"}
/>
<span
class="text-[9px] font-mono mt-0.5 {selectedFamily === 'recents'
? 'text-exo-yellow'
: 'text-white/40 group-hover:text-white/60'}">Recent</span
>
</button>
{/if}
<!-- HuggingFace Hub -->
<button
type="button"
onclick={() => onSelect("huggingface")}
class="group flex flex-col items-center justify-center p-2 rounded transition-all duration-200 cursor-pointer {selectedFamily ===
'huggingface'
? 'bg-orange-500/20 border-l-2 border-orange-400'
: 'hover:bg-white/5 border-l-2 border-transparent'}"
title="Browse and add models from Hugging Face"
>
<FamilyLogos
family="huggingface"
class={selectedFamily === "huggingface"
? "text-orange-400"
: "text-white/50 group-hover:text-orange-400/70"}
/>
<span
class="text-[9px] font-mono mt-0.5 {selectedFamily === 'huggingface'
? 'text-orange-400'
: 'text-white/40 group-hover:text-white/60'}">Hub</span
>
</button>
<div class="h-px bg-exo-yellow/10 my-1"></div>
<!-- Model families -->
{#each families as family}
<button
type="button"
onclick={() => onSelect(family)}
class="group flex flex-col items-center justify-center p-2 rounded transition-all duration-200 cursor-pointer {selectedFamily ===
family
? 'bg-exo-yellow/20 border-l-2 border-exo-yellow'
: 'hover:bg-white/5 border-l-2 border-transparent'}"
title={getFamilyName(family)}
>
<FamilyLogos
{family}
class={selectedFamily === family
? "text-exo-yellow"
: "text-white/50 group-hover:text-white/70"}
/>
<span
class="text-[9px] font-mono mt-0.5 truncate max-w-full {selectedFamily ===
family
? 'text-exo-yellow'
: 'text-white/40 group-hover:text-white/60'}"
>
{getFamilyName(family)}
</span>
</button>
{/each}
</div>
@@ -0,0 +1,151 @@
<script lang="ts">
interface HuggingFaceModel {
id: string;
author: string;
downloads: number;
likes: number;
last_modified: string;
tags: string[];
}
type HuggingFaceResultItemProps = {
model: HuggingFaceModel;
isAdded: boolean;
isAdding: boolean;
onAdd: () => void;
onSelect: () => void;
downloadedOnNodes?: string[];
};
let {
model,
isAdded,
isAdding,
onAdd,
onSelect,
downloadedOnNodes = [],
}: HuggingFaceResultItemProps = $props();
function formatNumber(num: number): string {
if (num >= 1000000) {
return `${(num / 1000000).toFixed(1)}M`;
} else if (num >= 1000) {
return `${(num / 1000).toFixed(1)}k`;
}
return num.toString();
}
// Extract model name from full ID (e.g., "mlx-community/Llama-3.2-1B" -> "Llama-3.2-1B")
const modelName = $derived(model.id.split("/").pop() || model.id);
</script>
<div
class="flex items-center justify-between gap-3 px-3 py-2.5 hover:bg-white/5 transition-colors border-b border-white/5 last:border-b-0"
>
<div class="flex-1 min-w-0">
<div class="flex items-center gap-2">
<span class="text-sm font-mono text-white truncate" title={model.id}
>{modelName}</span
>
{#if downloadedOnNodes.length > 0}
<span
class="flex-shrink-0"
title={`Downloaded on ${downloadedOnNodes.join(", ")}`}
>
<svg
class="w-4 h-4"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
>
<path
class="text-white/40"
d="M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z"
/>
<path class="text-green-400" d="m9 13 2 2 4-4" />
</svg>
</span>
{/if}
{#if isAdded}
<span
class="px-1.5 py-0.5 text-[10px] font-mono bg-green-500/20 text-green-400 rounded"
>Added</span
>
{/if}
</div>
<div class="flex items-center gap-3 mt-0.5 text-xs text-white/40">
<span class="truncate">{model.author}</span>
<span
class="flex items-center gap-1 shrink-0"
title="Downloads in the last 30 days"
>
<svg
class="w-3 h-3"
fill="none"
stroke="currentColor"
viewBox="0 0 24 24"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M4 16v1a3 3 0 003 3h10a3 3 0 003-3v-1m-4-4l-4 4m0 0l-4-4m4 4V4"
/>
</svg>
{formatNumber(model.downloads)}
</span>
<span
class="flex items-center gap-1 shrink-0"
title="Community likes on Hugging Face"
>
<svg
class="w-3 h-3"
fill="none"
stroke="currentColor"
viewBox="0 0 24 24"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M4.318 6.318a4.5 4.5 0 000 6.364L12 20.364l7.682-7.682a4.5 4.5 0 00-6.364-6.364L12 7.636l-1.318-1.318a4.5 4.5 0 00-6.364 0z"
/>
</svg>
{formatNumber(model.likes)}
</span>
</div>
</div>
<div class="flex items-center gap-2 shrink-0">
{#if isAdded}
<button
type="button"
onclick={onSelect}
class="px-3 py-1.5 text-xs font-mono tracking-wider uppercase bg-exo-yellow/10 text-exo-yellow border border-exo-yellow/30 hover:bg-exo-yellow/20 transition-colors rounded cursor-pointer"
>
Select
</button>
{:else}
<button
type="button"
onclick={onAdd}
disabled={isAdding}
class="px-3 py-1.5 text-xs font-mono tracking-wider uppercase bg-orange-500/10 text-orange-400 border border-orange-400/30 hover:bg-orange-500/20 transition-colors rounded cursor-pointer disabled:opacity-50 disabled:cursor-not-allowed"
>
{#if isAdding}
<span class="flex items-center gap-1.5">
<span
class="w-3 h-3 border-2 border-orange-400 border-t-transparent rounded-full animate-spin"
></span>
Adding...
</span>
{:else}
+ Add
{/if}
</button>
{/if}
</div>
</div>
@@ -0,0 +1,96 @@
<script lang="ts">
import { fade, fly } from "svelte/transition";
import { cubicOut } from "svelte/easing";
interface Props {
src: string | null;
onclose: () => void;
}
let { src, onclose }: Props = $props();
function handleKeydown(e: KeyboardEvent) {
if (e.key === "Escape") {
onclose();
}
}
function extensionFromSrc(dataSrc: string): string {
const match = dataSrc.match(/^data:image\/(\w+)/);
if (match) return match[1] === "jpeg" ? "jpg" : match[1];
const urlMatch = dataSrc.match(/\.(\w+)(?:\?|$)/);
if (urlMatch) return urlMatch[1];
return "png";
}
function handleDownload(e: MouseEvent) {
e.stopPropagation();
if (!src) return;
const link = document.createElement("a");
link.href = src;
link.download = `image-${Date.now()}.${extensionFromSrc(src)}`;
link.click();
}
function handleClose(e: MouseEvent) {
e.stopPropagation();
onclose();
}
</script>
<svelte:window onkeydown={src ? handleKeydown : undefined} />
{#if src}
<div
class="fixed inset-0 z-50 bg-black/90 backdrop-blur-sm flex items-center justify-center"
transition:fade={{ duration: 200 }}
onclick={onclose}
role="presentation"
onintrostart={() => (document.body.style.overflow = "hidden")}
onoutroend={() => (document.body.style.overflow = "")}
>
<div class="absolute top-4 right-4 flex gap-2 z-10">
<button
type="button"
class="p-2 rounded-lg bg-exo-dark-gray/80 border border-exo-yellow/30 text-exo-yellow hover:bg-exo-dark-gray hover:border-exo-yellow/50 cursor-pointer transition-colors"
onclick={handleDownload}
title="Download image"
>
<svg
class="w-5 h-5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M4 16v1a3 3 0 003 3h10a3 3 0 003-3v-1m-4-4l-4 4m0 0l-4-4m4 4V4"
/>
</svg>
</button>
<button
type="button"
class="p-2 rounded-lg bg-exo-dark-gray/80 border border-exo-yellow/30 text-exo-yellow hover:bg-exo-dark-gray hover:border-exo-yellow/50 cursor-pointer transition-colors"
onclick={handleClose}
title="Close"
>
<svg class="w-5 h-5" viewBox="0 0 24 24" fill="currentColor">
<path
d="M19 6.41L17.59 5 12 10.59 6.41 5 5 6.41 10.59 12 5 17.59 6.41 19 12 13.41 17.59 19 19 17.59 13.41 12 19 6.41z"
/>
</svg>
</button>
</div>
<!-- svelte-ignore a11y_no_noninteractive_element_interactions, a11y_click_events_have_key_events -->
<img
{src}
alt=""
class="max-w-[90vw] max-h-[90vh] object-contain rounded-lg shadow-2xl"
transition:fly={{ y: 20, duration: 300, easing: cubicOut }}
onclick={(e) => e.stopPropagation()}
/>
</div>
{/if}
@@ -64,6 +64,8 @@
"1024x1024",
"1024x768",
"768x1024",
"1024x1365",
"1365x1024",
];
const qualityOptions: ImageGenerationParams["quality"][] = [
@@ -148,6 +150,15 @@
setImageGenerationParams({ guidance: null });
}
function handleNumSyncStepsChange(event: Event) {
const value = parseInt((event.target as HTMLInputElement).value, 10);
setImageGenerationParams({ numSyncSteps: value });
}
function clearNumSyncSteps() {
setImageGenerationParams({ numSyncSteps: null });
}
function handleReset() {
resetImageGenerationParams();
showAdvanced = false;
@@ -157,7 +168,8 @@
params.seed !== null ||
params.numInferenceSteps !== null ||
params.guidance !== null ||
(params.negativePrompt !== null && params.negativePrompt.trim() !== ""),
(params.negativePrompt !== null && params.negativePrompt.trim() !== "") ||
params.numSyncSteps !== null,
);
</script>
@@ -578,7 +590,50 @@
</div>
</div>
<!-- Row 3: Negative Prompt -->
<!-- Row 3: Sync Steps -->
<div class="flex items-center gap-1.5">
<span
class="text-xs text-exo-light-gray uppercase tracking-wider whitespace-nowrap"
>SYNC STEPS:</span
>
<div class="flex items-center gap-2 flex-1 max-w-xs">
<input
type="range"
min="1"
max="100"
value={params.numSyncSteps ?? 1}
oninput={handleNumSyncStepsChange}
class="flex-1 h-1 bg-exo-medium-gray/50 rounded appearance-none cursor-pointer accent-exo-yellow"
/>
<span class="text-xs font-mono text-exo-yellow w-8 text-right">
{params.numSyncSteps ?? "--"}
</span>
{#if params.numSyncSteps !== null}
<button
type="button"
onclick={clearNumSyncSteps}
class="text-exo-light-gray hover:text-exo-yellow transition-colors"
title="Clear"
>
<svg
class="w-3 h-3"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M6 18L18 6M6 6l12 12"
/>
</svg>
</button>
{/if}
</div>
</div>
<!-- Row 4: Negative Prompt -->
<div class="flex flex-col gap-1.5">
<span class="text-xs text-exo-light-gray uppercase tracking-wider"
>NEGATIVE PROMPT:</span
+10 -3
View File
@@ -422,9 +422,16 @@
const bToACandidates: Array<{ ip: string; iface: string | null }> = [];
for (const edge of topology.edges) {
const ip = edge.sendBackIp || "?";
const iface =
edge.sendBackInterface || getInterfaceForIp(edge.source, ip);
let ip: string;
let iface: string | null;
if (edge.sourceRdmaIface || edge.sinkRdmaIface) {
ip = "RDMA";
iface = `${edge.sourceRdmaIface || "?"} \u2192 ${edge.sinkRdmaIface || "?"}`;
} else {
ip = edge.sendBackIp || "?";
iface = edge.sendBackInterface || getInterfaceForIp(edge.source, ip);
}
if (edge.source === nodeId1 && edge.target === nodeId2) {
aToBCandidates.push({ ip, iface });
@@ -0,0 +1,254 @@
<script lang="ts">
import { fly } from "svelte/transition";
import { cubicOut } from "svelte/easing";
interface FilterState {
capabilities: string[];
sizeRange: { min: number; max: number } | null;
downloadedOnly: boolean;
}
type ModelFilterPopoverProps = {
filters: FilterState;
onChange: (filters: FilterState) => void;
onClear: () => void;
onClose: () => void;
};
let { filters, onChange, onClear, onClose }: ModelFilterPopoverProps =
$props();
// Available capabilities
const availableCapabilities = [
{ id: "text", label: "Text" },
{ id: "thinking", label: "Thinking" },
{ id: "code", label: "Code" },
{ id: "vision", label: "Vision" },
{ id: "image_gen", label: "Image Gen" },
{ id: "image_edit", label: "Image Edit" },
];
// Size ranges
const sizeRanges = [
{ label: "< 10GB", min: 0, max: 10 },
{ label: "10-50GB", min: 10, max: 50 },
{ label: "50-200GB", min: 50, max: 200 },
{ label: "> 200GB", min: 200, max: 10000 },
];
function toggleCapability(cap: string) {
const next = filters.capabilities.includes(cap)
? filters.capabilities.filter((c) => c !== cap)
: [...filters.capabilities, cap];
onChange({ ...filters, capabilities: next });
}
function selectSizeRange(range: { min: number; max: number } | null) {
// Toggle off if same range is clicked
if (
filters.sizeRange &&
range &&
filters.sizeRange.min === range.min &&
filters.sizeRange.max === range.max
) {
onChange({ ...filters, sizeRange: null });
} else {
onChange({ ...filters, sizeRange: range });
}
}
function handleClickOutside(e: MouseEvent) {
const target = e.target as HTMLElement;
if (
!target.closest(".filter-popover") &&
!target.closest(".filter-toggle")
) {
onClose();
}
}
</script>
<svelte:window onclick={handleClickOutside} />
<!-- svelte-ignore a11y_no_static_element_interactions -->
<div
class="filter-popover absolute right-0 top-full mt-2 w-64 bg-exo-dark-gray border border-exo-yellow/10 rounded-lg shadow-xl z-10"
transition:fly={{ y: -10, duration: 200, easing: cubicOut }}
onclick={(e) => e.stopPropagation()}
role="dialog"
aria-label="Filter options"
>
<div class="p-3 space-y-4">
<!-- Capabilities -->
<div>
<h4 class="text-xs font-mono text-white/50 mb-2">Capabilities</h4>
<div class="flex flex-wrap gap-1.5">
{#each availableCapabilities as cap}
{@const isSelected = filters.capabilities.includes(cap.id)}
<button
type="button"
class="px-2 py-1 text-xs font-mono rounded transition-colors {isSelected
? 'bg-exo-yellow/20 text-exo-yellow border border-exo-yellow/30'
: 'bg-white/5 text-white/60 hover:bg-white/10 border border-transparent'}"
onclick={() => toggleCapability(cap.id)}
>
{#if cap.id === "text"}
<svg
class="w-3.5 h-3.5 inline-block"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
><path
d="M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z"
stroke-linecap="round"
stroke-linejoin="round"
/></svg
>
{:else if cap.id === "thinking"}
<svg
class="w-3.5 h-3.5 inline-block"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
><path
d="M12 2a7 7 0 0 0-7 7c0 2.38 1.19 4.47 3 5.74V17a1 1 0 0 0 1 1h6a1 1 0 0 0 1-1v-2.26c1.81-1.27 3-3.36 3-5.74a7 7 0 0 0-7-7zM9 20h6M10 22h4"
stroke-linecap="round"
stroke-linejoin="round"
/></svg
>
{:else if cap.id === "code"}
<svg
class="w-3.5 h-3.5 inline-block"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
><path
d="M16 18l6-6-6-6M8 6l-6 6 6 6"
stroke-linecap="round"
stroke-linejoin="round"
/></svg
>
{:else if cap.id === "vision"}
<svg
class="w-3.5 h-3.5 inline-block"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
><path
d="M1 12s4-8 11-8 11 8 11 8-4 8-11 8-11-8-11-8z"
stroke-linecap="round"
stroke-linejoin="round"
/><circle cx="12" cy="12" r="3" /></svg
>
{:else if cap.id === "image_gen"}
<svg
class="w-3.5 h-3.5 inline-block"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
><rect
x="3"
y="3"
width="18"
height="18"
rx="2"
ry="2"
stroke-linecap="round"
stroke-linejoin="round"
/><circle cx="8.5" cy="8.5" r="1.5" /><path
d="M21 15l-5-5L5 21"
stroke-linecap="round"
stroke-linejoin="round"
/></svg
>
{:else if cap.id === "image_edit"}
<svg
class="w-3.5 h-3.5 inline-block"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
><path
d="M11 4H4a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2v-7"
stroke-linecap="round"
stroke-linejoin="round"
/><path
d="M18.5 2.5a2.121 2.121 0 0 1 3 3L12 15l-4 1 1-4 9.5-9.5z"
stroke-linecap="round"
stroke-linejoin="round"
/></svg
>
{/if}
<span class="ml-1">{cap.label}</span>
</button>
{/each}
</div>
</div>
<!-- Downloaded only -->
<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"
>
<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>
</div>
<!-- Size range -->
<div>
<h4 class="text-xs font-mono text-white/50 mb-2">Model Size</h4>
<div class="flex flex-wrap gap-1.5">
{#each sizeRanges as range}
{@const isSelected =
filters.sizeRange &&
filters.sizeRange.min === range.min &&
filters.sizeRange.max === range.max}
<button
type="button"
class="px-2 py-1 text-xs font-mono rounded transition-colors {isSelected
? 'bg-exo-yellow/20 text-exo-yellow border border-exo-yellow/30'
: 'bg-white/5 text-white/60 hover:bg-white/10 border border-transparent'}"
onclick={() => selectSizeRange(range)}
>
{range.label}
</button>
{/each}
</div>
</div>
<!-- Clear button -->
<button
type="button"
class="w-full py-1.5 text-xs font-mono text-white/50 hover:text-white/70 hover:bg-white/5 rounded transition-colors"
onclick={onClear}
>
Clear all filters
</button>
</div>
</div>
@@ -0,0 +1,497 @@
<script lang="ts">
interface ModelInfo {
id: string;
name?: string;
storage_size_megabytes?: number;
base_model?: string;
quantization?: string;
supports_tensor?: boolean;
capabilities?: string[];
family?: string;
is_custom?: boolean;
}
interface ModelGroup {
id: string;
name: string;
capabilities: string[];
family: string;
variants: ModelInfo[];
smallestVariant: ModelInfo;
hasMultipleVariants: boolean;
}
type DownloadAvailability = {
available: boolean;
nodeNames: string[];
nodeIds: string[];
};
type ModelFitStatus = "fits_now" | "fits_cluster_capacity" | "too_large";
type ModelPickerGroupProps = {
group: ModelGroup;
isExpanded: boolean;
isFavorite: boolean;
selectedModelId: string | null;
canModelFit: (id: string) => boolean;
getModelFitStatus: (id: string) => ModelFitStatus;
onToggleExpand: () => void;
onSelectModel: (modelId: string) => void;
onToggleFavorite: (baseModelId: string) => void;
onShowInfo: (group: ModelGroup) => void;
downloadStatusMap?: Map<string, DownloadAvailability>;
launchedAt?: number;
};
let {
group,
isExpanded,
isFavorite,
selectedModelId,
canModelFit,
getModelFitStatus,
onToggleExpand,
onSelectModel,
onToggleFavorite,
onShowInfo,
downloadStatusMap,
launchedAt,
}: ModelPickerGroupProps = $props();
// Group-level download status: show if any variant is downloaded
const groupDownloadStatus = $derived.by(() => {
if (!downloadStatusMap || downloadStatusMap.size === 0) return undefined;
// Return the first available entry (prefer "available" ones)
for (const avail of downloadStatusMap.values()) {
if (avail.available) return avail;
}
return downloadStatusMap.values().next().value;
});
// Format storage size
function formatSize(mb: number | undefined): string {
if (!mb) return "";
if (mb >= 1024) {
return `${(mb / 1024).toFixed(0)}GB`;
}
return `${mb}MB`;
}
function timeAgo(ts: number): string {
const seconds = Math.floor((Date.now() - ts) / 1000);
if (seconds < 60) return "just now";
const minutes = Math.floor(seconds / 60);
if (minutes < 60) return `${minutes}m ago`;
const hours = Math.floor(minutes / 60);
if (hours < 24) return `${hours}h ago`;
const days = Math.floor(hours / 24);
return `${days}d ago`;
}
// Check if any variant can fit
const anyVariantFits = $derived(
group.variants.some((v) => canModelFit(v.id)),
);
const groupFitStatus = $derived.by((): ModelFitStatus => {
let hasClusterCapacityOnly = false;
for (const variant of group.variants) {
const fitStatus = getModelFitStatus(variant.id);
if (fitStatus === "fits_now") {
return "fits_now";
}
if (fitStatus === "fits_cluster_capacity") {
hasClusterCapacityOnly = true;
}
}
return hasClusterCapacityOnly ? "fits_cluster_capacity" : "too_large";
});
function getSizeClassForFitStatus(fitStatus: ModelFitStatus): string {
switch (fitStatus) {
case "fits_now":
return "text-white/40";
case "fits_cluster_capacity":
return "text-orange-400/80";
case "too_large":
return "text-red-400/70";
}
}
// Check if this group's model is currently selected (for single-variant groups)
const isMainSelected = $derived(
!group.hasMultipleVariants &&
group.variants.some((v) => v.id === selectedModelId),
);
</script>
<div
class="border-b border-white/5 last:border-b-0 {!anyVariantFits
? 'opacity-50'
: ''}"
>
<!-- Main row -->
<div
class="flex items-center gap-2 px-3 py-2.5 transition-colors {anyVariantFits
? 'hover:bg-white/5 cursor-pointer'
: 'cursor-not-allowed'} {isMainSelected
? 'bg-exo-yellow/10 border-l-2 border-exo-yellow'
: 'border-l-2 border-transparent'}"
onclick={() => {
if (group.hasMultipleVariants) {
onToggleExpand();
} else {
const modelId = group.variants[0]?.id;
if (modelId && canModelFit(modelId)) {
onSelectModel(modelId);
}
}
}}
role="button"
tabindex="0"
onkeydown={(e) => {
if (e.key === "Enter" || e.key === " ") {
e.preventDefault();
if (group.hasMultipleVariants) {
onToggleExpand();
} else {
const modelId = group.variants[0]?.id;
if (modelId && canModelFit(modelId)) {
onSelectModel(modelId);
}
}
}
}}
>
<!-- Expand/collapse chevron (for groups with variants) -->
{#if group.hasMultipleVariants}
<svg
class="w-4 h-4 text-white/40 transition-transform duration-200 flex-shrink-0 {isExpanded
? 'rotate-90'
: ''}"
viewBox="0 0 24 24"
fill="currentColor"
>
<path d="M8.59 16.59L13.17 12 8.59 7.41 10 6l6 6-6 6-1.41-1.41z" />
</svg>
{:else}
<div class="w-4 flex-shrink-0"></div>
{/if}
<!-- Model name -->
<div class="flex-1 min-w-0">
<div class="flex items-center gap-2">
<span class="font-mono text-sm text-white truncate">
{group.name}
</span>
<!-- Capability icons -->
{#each group.capabilities.filter((c) => c !== "text") as cap}
{#if cap === "thinking"}
<svg
class="w-3.5 h-3.5 text-white/40 flex-shrink-0"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
title="Supports Thinking"
>
<path
d="M12 2a7 7 0 0 0-7 7c0 2.38 1.19 4.47 3 5.74V17a1 1 0 0 0 1 1h6a1 1 0 0 0 1-1v-2.26c1.81-1.27 3-3.36 3-5.74a7 7 0 0 0-7-7zM9 20h6M10 22h4"
stroke-linecap="round"
stroke-linejoin="round"
/>
</svg>
{:else if cap === "code"}
<svg
class="w-3.5 h-3.5 text-white/40 flex-shrink-0"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
title="Supports code generation"
>
<path
d="M16 18l6-6-6-6M8 6l-6 6 6 6"
stroke-linecap="round"
stroke-linejoin="round"
/>
</svg>
{:else if cap === "vision"}
<svg
class="w-3.5 h-3.5 text-white/40 flex-shrink-0"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
title="Supports image input"
>
<path
d="M1 12s4-8 11-8 11 8 11 8-4 8-11 8-11-8-11-8z"
stroke-linecap="round"
stroke-linejoin="round"
/>
<circle cx="12" cy="12" r="3" />
</svg>
{:else if cap === "image_gen"}
<svg
class="w-3.5 h-3.5 text-white/40 flex-shrink-0"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
title="Supports image generation"
>
<rect
x="3"
y="3"
width="18"
height="18"
rx="2"
ry="2"
stroke-linecap="round"
stroke-linejoin="round"
/>
<circle cx="8.5" cy="8.5" r="1.5" />
<path
d="M21 15l-5-5L5 21"
stroke-linecap="round"
stroke-linejoin="round"
/>
</svg>
{:else if cap === "image_edit"}
<svg
class="w-3.5 h-3.5 text-white/40 flex-shrink-0"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
title="Supports image editing"
>
<path
d="M11 4H4a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2v-7"
stroke-linecap="round"
stroke-linejoin="round"
/>
<path
d="M18.5 2.5a2.121 2.121 0 0 1 3 3L12 15l-4 1 1-4 9.5-9.5z"
stroke-linecap="round"
stroke-linejoin="round"
/>
</svg>
{/if}
{/each}
</div>
</div>
<!-- Size indicator (smallest variant) -->
{#if !group.hasMultipleVariants && group.smallestVariant?.storage_size_megabytes}
{@const singleVariantFitStatus = getModelFitStatus(
group.smallestVariant.id,
)}
<span
class="text-xs font-mono flex-shrink-0 {getSizeClassForFitStatus(
singleVariantFitStatus,
)}"
>
{formatSize(group.smallestVariant.storage_size_megabytes)}
</span>
{/if}
<!-- Variant count with size range -->
{#if group.hasMultipleVariants}
{@const sizes = group.variants
.map((v) => v.storage_size_megabytes || 0)
.filter((s) => s > 0)
.sort((a, b) => a - b)}
<span
class="text-xs font-mono flex-shrink-0 {getSizeClassForFitStatus(
groupFitStatus,
)}"
>
{group.variants.length} variants{#if sizes.length >= 2}{" "}({formatSize(
sizes[0],
)}-{formatSize(sizes[sizes.length - 1])}){/if}
</span>
{/if}
<!-- Time ago (for recent models) -->
{#if launchedAt}
<span class="text-xs font-mono text-white/20 flex-shrink-0">
{timeAgo(launchedAt)}
</span>
{/if}
<!-- Download availability indicator -->
{#if groupDownloadStatus && groupDownloadStatus.nodeIds.length > 0}
<span
class="flex-shrink-0"
title={groupDownloadStatus.available
? `Ready — downloaded on ${groupDownloadStatus.nodeNames.join(", ")}`
: `Downloaded on ${groupDownloadStatus.nodeNames.join(", ")} (may need more nodes)`}
>
<svg
class="w-4 h-4"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
>
<path
class="text-white/40"
d="M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z"
/>
<path class="text-green-400" d="m9 13 2 2 4-4" />
</svg>
</span>
{/if}
<!-- Check mark if selected (single-variant) -->
{#if isMainSelected}
<svg
class="w-4 h-4 text-exo-yellow flex-shrink-0"
viewBox="0 0 24 24"
fill="currentColor"
>
<path d="M9 16.17L4.83 12l-1.42 1.41L9 19 21 7l-1.41-1.41L9 16.17z" />
</svg>
{/if}
<!-- Favorite star -->
<button
type="button"
class="p-1 rounded hover:bg-white/10 transition-colors flex-shrink-0"
onclick={(e) => {
e.stopPropagation();
onToggleFavorite(group.id);
}}
title={isFavorite ? "Remove from favorites" : "Add to favorites"}
>
{#if isFavorite}
<svg
class="w-4 h-4 text-amber-400"
viewBox="0 0 24 24"
fill="currentColor"
>
<path
d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z"
/>
</svg>
{:else}
<svg
class="w-4 h-4 text-white/30 hover:text-white/50"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
>
<path
d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z"
/>
</svg>
{/if}
</button>
<!-- Info button -->
<button
type="button"
class="p-1 rounded hover:bg-white/10 transition-colors flex-shrink-0"
onclick={(e) => {
e.stopPropagation();
onShowInfo(group);
}}
title="View model details"
>
<svg
class="w-4 h-4 text-white/30 hover:text-white/50"
viewBox="0 0 24 24"
fill="currentColor"
>
<path
d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm1 15h-2v-6h2v6zm0-8h-2V7h2v2z"
/>
</svg>
</button>
</div>
<!-- Expanded variants -->
{#if isExpanded && group.hasMultipleVariants}
<div class="bg-black/20 border-t border-white/5">
{#each group.variants as variant}
{@const fitStatus = getModelFitStatus(variant.id)}
{@const modelCanFit = canModelFit(variant.id)}
{@const 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
? '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}
onclick={() => {
if (modelCanFit) {
onSelectModel(variant.id);
}
}}
>
<!-- Quantization badge -->
<span
class="text-xs font-mono px-1.5 py-0.5 rounded bg-white/10 text-white/70 flex-shrink-0"
>
{variant.quantization || "default"}
</span>
<!-- Size -->
<span
class="text-xs font-mono flex-1 {getSizeClassForFitStatus(
fitStatus,
)}"
>
{formatSize(variant.storage_size_megabytes)}
</span>
<!-- Download indicator for this variant -->
{#if downloadStatusMap?.get(variant.id)}
{@const variantDl = downloadStatusMap.get(variant.id)}
{#if variantDl}
<span
class="flex-shrink-0"
title={`Downloaded on ${variantDl.nodeNames.join(", ")}`}
>
<svg
class="w-3.5 h-3.5"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
>
<path
class="text-white/40"
d="M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z"
/>
<path class="text-green-400" d="m9 13 2 2 4-4" />
</svg>
</span>
{/if}
{/if}
<!-- Check mark if selected -->
{#if isSelected}
<svg
class="w-4 h-4 text-exo-yellow"
viewBox="0 0 24 24"
fill="currentColor"
>
<path
d="M9 16.17L4.83 12l-1.42 1.41L9 19 21 7l-1.41-1.41L9 16.17z"
/>
</svg>
{/if}
</button>
{/each}
</div>
{/if}
</div>
@@ -0,0 +1,990 @@
<script lang="ts">
import { fade, fly } from "svelte/transition";
import { cubicOut } from "svelte/easing";
import FamilySidebar from "./FamilySidebar.svelte";
import ModelPickerGroup from "./ModelPickerGroup.svelte";
import ModelFilterPopover from "./ModelFilterPopover.svelte";
import HuggingFaceResultItem from "./HuggingFaceResultItem.svelte";
import { getNodesWithModelDownloaded } from "$lib/utils/downloads";
import { getRecentEntries } from "$lib/stores/recents.svelte";
interface ModelInfo {
id: string;
name?: string;
storage_size_megabytes?: number;
base_model?: string;
quantization?: string;
supports_tensor?: boolean;
capabilities?: string[];
family?: string;
is_custom?: boolean;
tasks?: string[];
hugging_face_id?: string;
}
interface ModelGroup {
id: string;
name: string;
capabilities: string[];
family: string;
variants: ModelInfo[];
smallestVariant: ModelInfo;
hasMultipleVariants: boolean;
}
interface FilterState {
capabilities: string[];
sizeRange: { min: number; max: number } | null;
downloadedOnly: boolean;
}
interface HuggingFaceModel {
id: string;
author: string;
downloads: number;
likes: number;
last_modified: string;
tags: string[];
}
type ModelFitStatus = "fits_now" | "fits_cluster_capacity" | "too_large";
type ModelPickerModalProps = {
isOpen: boolean;
models: ModelInfo[];
selectedModelId: string | null;
favorites: Set<string>;
recentModelIds?: string[];
hasRecents?: boolean;
existingModelIds: Set<string>;
canModelFit: (modelId: string) => boolean;
getModelFitStatus: (modelId: string) => ModelFitStatus;
onSelect: (modelId: string) => void;
onClose: () => void;
onToggleFavorite: (baseModelId: string) => void;
onAddModel: (modelId: string) => Promise<void>;
onDeleteModel: (modelId: string) => Promise<void>;
totalMemoryGB: number;
usedMemoryGB: number;
downloadsData?: Record<string, unknown[]>;
topologyNodes?: Record<
string,
{
friendly_name?: string;
system_info?: { model_id?: string };
macmon_info?: { memory?: { ram_total?: number } };
}
>;
};
let {
isOpen,
models,
selectedModelId,
favorites,
recentModelIds = [],
hasRecents: hasRecentsTab = false,
existingModelIds,
canModelFit,
getModelFitStatus,
onSelect,
onClose,
onToggleFavorite,
onAddModel,
onDeleteModel,
totalMemoryGB,
usedMemoryGB,
downloadsData,
topologyNodes,
}: ModelPickerModalProps = $props();
// Local state
let searchQuery = $state("");
let selectedFamily = $state<string | null>(null);
let expandedGroups = $state<Set<string>>(new Set());
let showFilters = $state(false);
let filters = $state<FilterState>({
capabilities: [],
sizeRange: null,
downloadedOnly: false,
});
let infoGroup = $state<ModelGroup | null>(null);
// Download availability per model group
type DownloadAvailability = {
available: boolean;
nodeNames: string[];
nodeIds: string[];
};
function getNodeName(nodeId: string): string {
const node = topologyNodes?.[nodeId];
return (
node?.friendly_name || node?.system_info?.model_id || nodeId.slice(0, 8)
);
}
const modelDownloadAvailability = $derived.by(() => {
const result = new Map<string, DownloadAvailability>();
if (!downloadsData || !topologyNodes) return result;
for (const model of models) {
const nodeIds = getNodesWithModelDownloaded(downloadsData, model.id);
if (nodeIds.length === 0) continue;
// Sum total RAM across nodes that have the model
let totalRamBytes = 0;
for (const nodeId of nodeIds) {
const ramTotal = topologyNodes[nodeId]?.macmon_info?.memory?.ram_total;
if (typeof ramTotal === "number") totalRamBytes += ramTotal;
}
const modelSizeBytes = (model.storage_size_megabytes || 0) * 1024 * 1024;
result.set(model.id, {
available: modelSizeBytes > 0 && totalRamBytes >= modelSizeBytes,
nodeNames: nodeIds.map(getNodeName),
nodeIds,
});
}
return result;
});
// Aggregate download availability per group (available if ANY variant is available)
function getGroupDownloadAvailability(
group: ModelGroup,
): DownloadAvailability | undefined {
for (const variant of group.variants) {
const avail = modelDownloadAvailability.get(variant.id);
if (avail && avail.nodeIds.length > 0) return avail;
}
return undefined;
}
// Get per-variant download map for a group
function getVariantDownloadMap(
group: ModelGroup,
): Map<string, DownloadAvailability> {
const map = new Map<string, DownloadAvailability>();
for (const variant of group.variants) {
const avail = modelDownloadAvailability.get(variant.id);
if (avail && avail.nodeIds.length > 0) map.set(variant.id, avail);
}
return map;
}
// HuggingFace Hub state
let hfSearchQuery = $state("");
let hfSearchResults = $state<HuggingFaceModel[]>([]);
let hfTrendingModels = $state<HuggingFaceModel[]>([]);
let hfIsSearching = $state(false);
let hfIsLoadingTrending = $state(false);
let addingModelId = $state<string | null>(null);
let hfSearchDebounceTimer: ReturnType<typeof setTimeout> | null = null;
let manualModelId = $state("");
let addModelError = $state<string | null>(null);
// Reset transient state when modal opens, but preserve tab selection
$effect(() => {
if (isOpen) {
searchQuery = "";
expandedGroups = new Set();
showFilters = false;
manualModelId = "";
addModelError = null;
}
});
// Fetch trending models when HuggingFace is selected
$effect(() => {
if (
selectedFamily === "huggingface" &&
hfTrendingModels.length === 0 &&
!hfIsLoadingTrending
) {
fetchTrendingModels();
}
});
async function fetchTrendingModels() {
hfIsLoadingTrending = true;
try {
const response = await fetch("/models/search?query=&limit=20");
if (response.ok) {
hfTrendingModels = await response.json();
}
} catch (error) {
console.error("Failed to fetch trending models:", error);
} finally {
hfIsLoadingTrending = false;
}
}
async function searchHuggingFace(query: string) {
if (query.length < 2) {
hfSearchResults = [];
return;
}
hfIsSearching = true;
try {
const response = await fetch(
`/models/search?query=${encodeURIComponent(query)}&limit=20`,
);
if (response.ok) {
hfSearchResults = await response.json();
} else {
hfSearchResults = [];
}
} catch (error) {
console.error("Failed to search models:", error);
hfSearchResults = [];
} finally {
hfIsSearching = false;
}
}
function handleHfSearchInput(query: string) {
hfSearchQuery = query;
addModelError = null;
if (hfSearchDebounceTimer) {
clearTimeout(hfSearchDebounceTimer);
}
if (query.length >= 2) {
hfSearchDebounceTimer = setTimeout(() => {
searchHuggingFace(query);
}, 300);
} else {
hfSearchResults = [];
}
}
async function handleAddModel(modelId: string) {
addingModelId = modelId;
addModelError = null;
try {
await onAddModel(modelId);
} catch (error) {
addModelError =
error instanceof Error ? error.message : "Failed to add model";
} finally {
addingModelId = null;
}
}
async function handleAddManualModel() {
if (!manualModelId.trim()) return;
await handleAddModel(manualModelId.trim());
if (!addModelError) {
manualModelId = "";
}
}
function handleSelectHfModel(modelId: string) {
onSelect(modelId);
onClose();
}
// Models to display in HuggingFace view
const hfDisplayModels = $derived.by((): HuggingFaceModel[] => {
if (hfSearchQuery.length >= 2) {
return hfSearchResults;
}
return hfTrendingModels;
});
// Group models by base_model
const groupedModels = $derived.by((): ModelGroup[] => {
const groups = new Map<string, ModelGroup>();
for (const model of models) {
const groupId = model.base_model || model.id;
const groupName = model.base_model || model.name || model.id;
if (!groups.has(groupId)) {
groups.set(groupId, {
id: groupId,
name: groupName,
capabilities: model.capabilities || ["text"],
family: model.family || "",
variants: [],
smallestVariant: model,
hasMultipleVariants: false,
});
}
const group = groups.get(groupId)!;
group.variants.push(model);
// Track smallest variant
if (
(model.storage_size_megabytes || 0) <
(group.smallestVariant.storage_size_megabytes || Infinity)
) {
group.smallestVariant = model;
}
// Update capabilities if not set
if (
group.capabilities.length <= 1 &&
model.capabilities &&
model.capabilities.length > 1
) {
group.capabilities = model.capabilities;
}
if (!group.family && model.family) {
group.family = model.family;
}
}
// Sort variants within each group by size
for (const group of groups.values()) {
group.variants.sort(
(a, b) =>
(a.storage_size_megabytes || 0) - (b.storage_size_megabytes || 0),
);
group.hasMultipleVariants = group.variants.length > 1;
}
// Convert to array and sort by smallest variant size (biggest first)
return Array.from(groups.values()).sort((a, b) => {
return (
(b.smallestVariant.storage_size_megabytes || 0) -
(a.smallestVariant.storage_size_megabytes || 0)
);
});
});
// Get unique families
const uniqueFamilies = $derived.by((): string[] => {
const families = new Set<string>();
for (const group of groupedModels) {
if (group.family) {
families.add(group.family);
}
}
const familyOrder = [
"kimi",
"qwen",
"glm",
"minimax",
"deepseek",
"gpt-oss",
"llama",
"flux",
"qwen-image",
];
return Array.from(families).sort((a, b) => {
const aIdx = familyOrder.indexOf(a);
const bIdx = familyOrder.indexOf(b);
if (aIdx === -1 && bIdx === -1) return a.localeCompare(b);
if (aIdx === -1) return 1;
if (bIdx === -1) return -1;
return aIdx - bIdx;
});
});
// Filter models based on search, family, and filters
const filteredGroups = $derived.by((): ModelGroup[] => {
let result: ModelGroup[] = [...groupedModels];
// Filter by family
if (selectedFamily === "favorites") {
result = result.filter((g) => favorites.has(g.id));
} else if (
selectedFamily &&
selectedFamily !== "huggingface" &&
selectedFamily !== "recents"
) {
result = result.filter((g) => g.family === selectedFamily);
}
// Filter by search query
if (searchQuery.trim()) {
const query = searchQuery.toLowerCase().trim();
result = result.filter(
(g) =>
g.name.toLowerCase().includes(query) ||
g.variants.some(
(v) =>
v.id.toLowerCase().includes(query) ||
(v.name || "").toLowerCase().includes(query),
),
);
}
// Filter by capabilities
if (filters.capabilities.length > 0) {
result = result.filter((g) =>
filters.capabilities.every((cap) => g.capabilities.includes(cap)),
);
}
// Filter by size range
if (filters.sizeRange) {
const { min, max } = filters.sizeRange;
result = result.filter((g) => {
const sizeGB = (g.smallestVariant.storage_size_megabytes || 0) / 1024;
return sizeGB >= min && sizeGB <= max;
});
}
// Filter to downloaded models only
if (filters.downloadedOnly) {
result = result.filter((g) =>
g.variants.some((v) => {
const avail = modelDownloadAvailability.get(v.id);
return avail && avail.nodeIds.length > 0;
}),
);
}
// Sort: fits-now first, then fits-cluster-capacity, then too-large
result.sort((a, b) => {
const getGroupFitRank = (group: ModelGroup): number => {
let hasClusterCapacityOnly = false;
for (const variant of group.variants) {
const fitStatus = getModelFitStatus(variant.id);
if (fitStatus === "fits_now") return 0;
if (fitStatus === "fits_cluster_capacity") {
hasClusterCapacityOnly = true;
}
}
return hasClusterCapacityOnly ? 1 : 2;
};
const aRank = getGroupFitRank(a);
const bRank = getGroupFitRank(b);
if (aRank !== bRank) return aRank - bRank;
return (
(b.smallestVariant.storage_size_megabytes || 0) -
(a.smallestVariant.storage_size_megabytes || 0)
);
});
return result;
});
// Check if any favorites exist
const hasFavorites = $derived(favorites.size > 0);
// Timestamp lookup for recent models
const recentTimestamps = $derived(
new Map(getRecentEntries().map((e) => [e.modelId, e.launchedAt])),
);
// Recent models: single-variant ModelGroups in launch order
const recentGroups = $derived.by((): ModelGroup[] => {
if (!recentModelIds || recentModelIds.length === 0) return [];
const result: ModelGroup[] = [];
for (const id of recentModelIds) {
const model = models.find((m) => m.id === id);
if (model) {
result.push({
id: model.base_model || model.id,
name: model.name || model.id,
capabilities: model.capabilities || ["text"],
family: model.family || "",
variants: [model],
smallestVariant: model,
hasMultipleVariants: false,
});
}
}
return result;
});
// Filtered recent groups (apply search query)
const filteredRecentGroups = $derived.by((): ModelGroup[] => {
if (!searchQuery.trim()) return recentGroups;
const query = searchQuery.toLowerCase().trim();
return recentGroups.filter(
(g) =>
g.name.toLowerCase().includes(query) ||
g.variants.some(
(v) =>
v.id.toLowerCase().includes(query) ||
(v.name || "").toLowerCase().includes(query) ||
(v.quantization || "").toLowerCase().includes(query),
),
);
});
function toggleGroupExpanded(groupId: string) {
const next = new Set(expandedGroups);
if (next.has(groupId)) {
next.delete(groupId);
} else {
next.add(groupId);
}
expandedGroups = next;
}
function handleSelect(modelId: string) {
onSelect(modelId);
onClose();
}
function handleKeydown(e: KeyboardEvent) {
if (e.key === "Escape") {
onClose();
}
}
function handleFiltersChange(newFilters: FilterState) {
filters = newFilters;
}
function clearFilters() {
filters = { capabilities: [], sizeRange: null, downloadedOnly: false };
}
const hasActiveFilters = $derived(
filters.capabilities.length > 0 ||
filters.sizeRange !== null ||
filters.downloadedOnly,
);
</script>
<svelte:window onkeydown={handleKeydown} />
{#if isOpen}
<!-- Backdrop -->
<div
class="fixed inset-0 z-50 bg-black/80 backdrop-blur-sm"
transition:fade={{ duration: 200 }}
onclick={onClose}
role="presentation"
></div>
<!-- Modal -->
<div
class="fixed z-50 top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2 w-[min(90vw,600px)] h-[min(80vh,700px)] bg-exo-dark-gray border border-exo-yellow/10 rounded-lg shadow-2xl overflow-hidden flex flex-col"
transition:fly={{ y: 20, duration: 300, easing: cubicOut }}
role="dialog"
aria-modal="true"
aria-label="Select a model"
>
<!-- Header with search -->
<div
class="flex items-center gap-2 p-3 border-b border-exo-yellow/10 bg-exo-medium-gray/30"
>
{#if selectedFamily === "huggingface"}
<!-- HuggingFace search -->
<svg
class="w-5 h-5 text-orange-400/60 flex-shrink-0"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
>
<circle cx="11" cy="11" r="8" />
<path d="M21 21l-4.35-4.35" />
</svg>
<input
type="search"
class="flex-1 bg-transparent border-none outline-none text-sm font-mono text-white placeholder-white/40"
placeholder="Search mlx-community models..."
value={hfSearchQuery}
oninput={(e) => handleHfSearchInput(e.currentTarget.value)}
/>
{#if hfIsSearching}
<div class="flex-shrink-0">
<span
class="w-4 h-4 border-2 border-orange-400 border-t-transparent rounded-full animate-spin block"
></span>
</div>
{/if}
{:else}
<!-- Normal model search -->
<svg
class="w-5 h-5 text-white/40 flex-shrink-0"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
>
<circle cx="11" cy="11" r="8" />
<path d="M21 21l-4.35-4.35" />
</svg>
<input
type="search"
class="flex-1 bg-transparent border-none outline-none text-sm font-mono text-white placeholder-white/40"
placeholder="Search models..."
bind:value={searchQuery}
/>
<!-- Cluster memory -->
<span
class="text-xs font-mono flex-shrink-0"
title="Cluster memory usage"
><span class="text-exo-yellow">{Math.round(usedMemoryGB)}GB</span
><span class="text-white/40">/{Math.round(totalMemoryGB)}GB</span
></span
>
<!-- Filter button -->
<div class="relative filter-toggle">
<button
type="button"
class="p-1.5 rounded hover:bg-white/10 transition-colors {hasActiveFilters
? 'text-exo-yellow'
: 'text-white/50'}"
onclick={() => (showFilters = !showFilters)}
title="Filter by capability or size"
>
<svg class="w-5 h-5" viewBox="0 0 24 24" fill="currentColor">
<path d="M10 18h4v-2h-4v2zM3 6v2h18V6H3zm3 7h12v-2H6v2z" />
</svg>
</button>
{#if showFilters}
<ModelFilterPopover
{filters}
onChange={handleFiltersChange}
onClear={clearFilters}
onClose={() => (showFilters = false)}
/>
{/if}
</div>
{/if}
<!-- Close button -->
<button
type="button"
class="p-1.5 rounded hover:bg-white/10 transition-colors text-white/50 hover:text-white/70"
onclick={onClose}
title="Close model picker"
>
<svg class="w-5 h-5" viewBox="0 0 24 24" fill="currentColor">
<path
d="M19 6.41L17.59 5 12 10.59 6.41 5 5 6.41 10.59 12 5 17.59 6.41 19 12 13.41 17.59 19 19 17.59 13.41 12 19 6.41z"
/>
</svg>
</button>
</div>
<!-- Body -->
<div class="flex flex-1 overflow-hidden">
<!-- Family sidebar -->
<FamilySidebar
families={uniqueFamilies}
{selectedFamily}
{hasFavorites}
hasRecents={hasRecentsTab}
onSelect={(family) => (selectedFamily = family)}
/>
<!-- Model list -->
<div class="flex-1 overflow-y-auto scrollbar-hide flex flex-col">
{#if selectedFamily === "huggingface"}
<!-- HuggingFace Hub view -->
<div class="flex-1 flex flex-col min-h-0">
<!-- Section header -->
<div
class="sticky top-0 z-10 px-3 py-2 bg-exo-dark-gray/95 border-b border-exo-yellow/10"
>
<span class="text-xs font-mono text-white/40">
{#if hfSearchQuery.length >= 2}
Search results for "{hfSearchQuery}"
{:else}
Trending on mlx-community
{/if}
</span>
</div>
<!-- Results list -->
<div class="flex-1 overflow-y-auto scrollbar-hide">
{#if hfIsLoadingTrending && hfTrendingModels.length === 0}
<div
class="flex items-center justify-center py-12 text-white/40"
>
<span
class="w-5 h-5 border-2 border-orange-400 border-t-transparent rounded-full animate-spin mr-2"
></span>
<span class="font-mono text-sm"
>Loading trending models...</span
>
</div>
{:else if hfDisplayModels.length === 0}
<div
class="flex flex-col items-center justify-center py-12 text-white/40"
>
<svg
class="w-10 h-10 mb-2"
viewBox="0 0 24 24"
fill="currentColor"
>
<path
d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm-2 13.5c-.83 0-1.5-.67-1.5-1.5s.67-1.5 1.5-1.5 1.5.67 1.5 1.5-.67 1.5-1.5 1.5zm4 0c-.83 0-1.5-.67-1.5-1.5s.67-1.5 1.5-1.5 1.5.67 1.5 1.5-.67 1.5-1.5 1.5zm2-4.5H8c0-2.21 1.79-4 4-4s4 1.79 4 4z"
/>
</svg>
<p class="font-mono text-sm">No models found</p>
{#if hfSearchQuery}
<p class="font-mono text-xs mt-1">
Try a different search term
</p>
{/if}
</div>
{:else}
{#each hfDisplayModels as model}
<HuggingFaceResultItem
{model}
isAdded={existingModelIds.has(model.id)}
isAdding={addingModelId === model.id}
onAdd={() => handleAddModel(model.id)}
onSelect={() => handleSelectHfModel(model.id)}
downloadedOnNodes={downloadsData
? getNodesWithModelDownloaded(
downloadsData,
model.id,
).map(getNodeName)
: []}
/>
{/each}
{/if}
</div>
<!-- Manual input footer -->
<div
class="sticky bottom-0 border-t border-exo-yellow/10 bg-exo-dark-gray p-3"
>
{#if addModelError}
<div
class="bg-red-500/10 border border-red-500/30 rounded px-3 py-2 mb-2"
>
<p class="text-red-400 text-xs font-mono break-words">
{addModelError}
</p>
</div>
{/if}
<div class="flex gap-2">
<input
type="text"
class="flex-1 bg-exo-black/60 border border-exo-yellow/30 rounded px-3 py-1.5 text-xs font-mono text-white placeholder-white/30 focus:outline-none focus:border-exo-yellow/50"
placeholder="Or paste model ID directly..."
bind:value={manualModelId}
onkeydown={(e) => {
if (e.key === "Enter") handleAddManualModel();
}}
/>
<button
type="button"
onclick={handleAddManualModel}
disabled={!manualModelId.trim() || addingModelId !== null}
class="px-3 py-1.5 text-xs font-mono tracking-wider uppercase bg-orange-500/10 text-orange-400 border border-orange-400/30 hover:bg-orange-500/20 transition-colors rounded disabled:opacity-50 disabled:cursor-not-allowed"
>
Add
</button>
</div>
</div>
</div>
{:else if selectedFamily === "recents"}
<!-- Recent models view -->
{#if filteredRecentGroups.length === 0}
<div
class="flex flex-col items-center justify-center h-full text-white/40 p-8"
>
<svg
class="w-12 h-12 mb-3"
viewBox="0 0 24 24"
fill="currentColor"
>
<path
d="M13 3a9 9 0 0 0-9 9H1l3.89 3.89.07.14L9 12H6c0-3.87 3.13-7 7-7s7 3.13 7 7-3.13 7-7 7c-1.93 0-3.68-.79-4.94-2.06l-1.42 1.42A8.954 8.954 0 0 0 13 21a9 9 0 0 0 0-18zm-1 5v5l4.28 2.54.72-1.21-3.5-2.08V8H12z"
/>
</svg>
<p class="font-mono text-sm">
{searchQuery
? "No matching recent models"
: "No recently launched models"}
</p>
</div>
{:else}
{#each filteredRecentGroups 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)}
launchedAt={recentTimestamps.get(group.variants[0]?.id ?? "")}
/>
{/each}
{/if}
{:else if filteredGroups.length === 0}
<div
class="flex flex-col items-center justify-center h-full text-white/40 p-8"
>
<svg class="w-12 h-12 mb-3" viewBox="0 0 24 24" fill="currentColor">
<path
d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm-2 15l-5-5 1.41-1.41L10 14.17l7.59-7.59L19 8l-9 9z"
/>
</svg>
<p class="font-mono text-sm">No models found</p>
{#if hasActiveFilters || searchQuery}
<button
type="button"
class="mt-2 text-xs text-exo-yellow hover:underline"
onclick={() => {
searchQuery = "";
clearFilters();
}}
>
Clear filters
</button>
{/if}
</div>
{:else}
{#each filteredGroups 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)}
/>
{/each}
{/if}
</div>
</div>
<!-- Footer with active filters indicator -->
{#if hasActiveFilters}
<div
class="flex items-center gap-2 px-3 py-2 border-t border-exo-yellow/10 bg-exo-medium-gray/20 text-xs font-mono text-white/50"
>
<span>Filters:</span>
{#each filters.capabilities as cap}
<span class="px-1.5 py-0.5 bg-exo-yellow/20 text-exo-yellow rounded"
>{cap}</span
>
{/each}
{#if filters.downloadedOnly}
<span class="px-1.5 py-0.5 bg-green-500/20 text-green-400 rounded"
>Downloaded</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
</span>
{/if}
<button
type="button"
class="ml-auto text-white/40 hover:text-white/60"
onclick={clearFilters}
>
Clear all
</button>
</div>
{/if}
</div>
<!-- Info modal -->
{#if infoGroup}
<div
class="fixed inset-0 z-[60] bg-black/60"
transition:fade={{ duration: 150 }}
onclick={() => (infoGroup = null)}
role="presentation"
></div>
<div
class="fixed z-[60] top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2 w-[min(80vw,400px)] bg-exo-dark-gray border border-exo-yellow/10 rounded-lg shadow-2xl p-4"
transition:fly={{ y: 10, duration: 200, easing: cubicOut }}
role="dialog"
aria-modal="true"
>
<div class="flex items-start justify-between mb-3">
<h3 class="font-mono text-lg text-white">{infoGroup.name}</h3>
<button
type="button"
class="p-1 rounded hover:bg-white/10 transition-colors text-white/50"
onclick={() => (infoGroup = null)}
title="Close model details"
aria-label="Close info dialog"
>
<svg class="w-4 h-4" viewBox="0 0 24 24" fill="currentColor">
<path
d="M19 6.41L17.59 5 12 10.59 6.41 5 5 6.41 10.59 12 5 17.59 6.41 19 12 13.41 17.59 19 19 17.59 13.41 12 19 6.41z"
/>
</svg>
</button>
</div>
<div class="space-y-2 text-xs font-mono">
<div class="flex items-center gap-2">
<span class="text-white/40">Family:</span>
<span class="text-white/70">{infoGroup.family || "Unknown"}</span>
</div>
<div class="flex items-center gap-2">
<span class="text-white/40">Capabilities:</span>
<span class="text-white/70">{infoGroup.capabilities.join(", ")}</span>
</div>
<div class="flex items-center gap-2">
<span class="text-white/40">Variants:</span>
<span class="text-white/70">{infoGroup.variants.length}</span>
</div>
{#if infoGroup.variants.length > 0}
<div class="mt-3 pt-3 border-t border-exo-yellow/10">
<span class="text-white/40">Available quantizations:</span>
<div class="flex flex-wrap gap-1 mt-1">
{#each infoGroup.variants as variant}
<span
class="px-1.5 py-0.5 bg-white/10 text-white/60 rounded text-[10px]"
>
{variant.quantization || "default"} ({Math.round(
(variant.storage_size_megabytes || 0) / 1024,
)}GB)
</span>
{/each}
</div>
</div>
{/if}
{#if getGroupDownloadAvailability(infoGroup)?.nodeNames?.length}
{@const infoDownload = getGroupDownloadAvailability(infoGroup)}
{#if infoDownload}
<div class="mt-3 pt-3 border-t border-exo-yellow/10">
<div class="flex items-center gap-2 mb-1">
<svg
class="w-3.5 h-3.5"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
>
<path
class="text-white/40"
d="M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z"
/>
<path class="text-green-400" d="m9 13 2 2 4-4" />
</svg>
<span class="text-white/40">Downloaded on:</span>
</div>
<div class="flex flex-wrap gap-1 mt-1">
{#each infoDownload.nodeNames as nodeName}
<span
class="px-1.5 py-0.5 bg-green-500/10 text-green-400/80 border border-green-500/20 rounded text-[10px]"
>
{nodeName}
</span>
{/each}
</div>
</div>
{/if}
{/if}
</div>
</div>
{/if}
{/if}
@@ -0,0 +1,236 @@
<script lang="ts">
import type { TokenData } from "$lib/stores/app.svelte";
interface Props {
tokens: TokenData[];
class?: string;
isGenerating?: boolean;
onRegenerateFrom?: (tokenIndex: number) => void;
}
let {
tokens,
class: className = "",
isGenerating = false,
onRegenerateFrom,
}: Props = $props();
// Tooltip state - track both token data and index
let hoveredTokenIndex = $state<number | null>(null);
let hoveredPosition = $state<{ x: number; y: number } | null>(null);
let isTooltipHovered = $state(false);
let hideTimeoutId: ReturnType<typeof setTimeout> | null = null;
// Derive the hovered token from the index (stable across re-renders)
const hoveredToken = $derived(
hoveredTokenIndex !== null && hoveredPosition && tokens[hoveredTokenIndex]
? {
token: tokens[hoveredTokenIndex],
index: hoveredTokenIndex,
...hoveredPosition,
}
: null,
);
/**
* Get confidence styling based on probability.
* Following Apple design principles: high confidence tokens blend in,
* only uncertainty draws attention.
*/
function getConfidenceClass(probability: number): string {
if (probability > 0.8) return "text-inherit"; // Expected tokens - blend in
if (probability > 0.5) return "bg-gray-500/10 text-inherit"; // Slight hint
if (probability > 0.2) return "bg-amber-500/15 text-amber-200/90"; // Subtle warmth
return "bg-red-500/20 text-red-200/90"; // Draws attention
}
/**
* Get border/underline styling for uncertain tokens
*/
function getBorderClass(probability: number): string {
if (probability > 0.8) return "border-transparent"; // No border for expected
if (probability > 0.5) return "border-gray-500/20";
if (probability > 0.2) return "border-amber-500/30";
return "border-red-500/40";
}
function clearHideTimeout() {
if (hideTimeoutId) {
clearTimeout(hideTimeoutId);
hideTimeoutId = null;
}
}
function handleMouseEnter(
event: MouseEvent,
token: TokenData,
index: number,
) {
clearHideTimeout();
const rects = (event.target as HTMLElement).getClientRects();
let rect = rects[0];
for (let j = 0; j < rects.length; j++) {
if (event.clientY >= rects[j].top && event.clientY <= rects[j].bottom) {
rect = rects[j];
break;
}
}
hoveredTokenIndex = index;
hoveredPosition = {
x: rect.left + rect.width / 2,
y: rect.top - 10,
};
}
function handleMouseLeave() {
clearHideTimeout();
// Use longer delay during generation to account for re-renders
const delay = isGenerating ? 300 : 200;
hideTimeoutId = setTimeout(() => {
if (!isTooltipHovered) {
hoveredTokenIndex = null;
hoveredPosition = null;
}
}, delay);
}
function handleTooltipEnter() {
clearHideTimeout();
isTooltipHovered = true;
}
function handleTooltipLeave() {
isTooltipHovered = false;
hoveredTokenIndex = null;
hoveredPosition = null;
}
function handleRegenerate() {
if (hoveredToken && onRegenerateFrom) {
const indexToRegenerate = hoveredToken.index;
// Clear hover state immediately
hoveredTokenIndex = null;
hoveredPosition = null;
isTooltipHovered = false;
// Call regenerate
onRegenerateFrom(indexToRegenerate);
}
}
function formatProbability(prob: number): string {
return (prob * 100).toFixed(1) + "%";
}
function formatLogprob(logprob: number): string {
return logprob.toFixed(3);
}
function getProbabilityColor(probability: number): string {
if (probability > 0.8) return "text-gray-300";
if (probability > 0.5) return "text-gray-400";
if (probability > 0.2) return "text-amber-400";
return "text-red-400";
}
</script>
<div class="token-heatmap leading-relaxed {className}">
{#each tokens as tokenData, i (i)}
<span
role="button"
tabindex="0"
class="token-span inline rounded px-0.5 py-0.5 cursor-pointer transition-all duration-150 border {getConfidenceClass(
tokenData.probability,
)} {getBorderClass(tokenData.probability)} hover:opacity-80"
onmouseenter={(e) => handleMouseEnter(e, tokenData, i)}
onmouseleave={handleMouseLeave}>{tokenData.token}</span
>
{/each}
</div>
<!-- Tooltip -->
{#if hoveredToken}
<div
class="fixed z-50 pb-2"
style="left: {hoveredToken.x}px; top: {hoveredToken.y}px; transform: translate(-50%, -100%);"
onmouseenter={handleTooltipEnter}
onmouseleave={handleTooltipLeave}
>
<div
class="bg-gray-900/95 backdrop-blur-sm border border-gray-700/50 rounded-xl shadow-xl p-3 text-sm min-w-48"
>
<!-- Token info -->
<div class="mb-2">
<span class="text-gray-500 text-xs">Token:</span>
<span class="text-white font-mono ml-1"
>"{hoveredToken.token.token}"</span
>
<span class="{getProbabilityColor(hoveredToken.token.probability)} ml-2"
>{formatProbability(hoveredToken.token.probability)}</span
>
</div>
<div class="text-gray-400 text-xs mb-1">
logprob: <span class="text-gray-300 font-mono"
>{formatLogprob(hoveredToken.token.logprob)}</span
>
</div>
<!-- Top alternatives -->
{#if hoveredToken.token.topLogprobs.length > 0}
<div class="border-t border-gray-700/50 mt-2 pt-2">
<div class="text-gray-500 text-xs mb-1">Alternatives:</div>
{#each hoveredToken.token.topLogprobs.slice(0, 5) as alt, idx (idx)}
{@const altProb = Math.exp(alt.logprob)}
<div class="flex justify-between items-center text-xs py-0.5">
<span class="text-gray-300 font-mono truncate max-w-24"
>"{alt.token}"</span
>
<span class="text-gray-400 ml-2"
>{formatProbability(altProb)}</span
>
</div>
{/each}
</div>
{/if}
<!-- Regenerate button -->
{#if onRegenerateFrom}
<button
onclick={handleRegenerate}
class="w-full mt-2 pt-2 border-t border-gray-700/50 flex items-center justify-center gap-1.5 text-xs text-gray-400 hover:text-white transition-colors cursor-pointer"
>
<svg
class="w-3 h-3"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M4 4v5h.582m15.356 2A8.001 8.001 0 004.582 9m0 0H9m11 11v-5h-.581m0 0a8.003 8.003 0 01-15.357-2m15.357 2H15"
/>
</svg>
Regenerate from here
</button>
{/if}
</div>
<!-- Arrow -->
<div class="absolute left-1/2 -translate-x-1/2 top-full">
<div class="border-8 border-transparent border-t-gray-900"></div>
</div>
</div>
{/if}
<style>
.token-heatmap {
word-wrap: break-word;
white-space: pre-wrap;
}
.token-span {
margin: 0;
border-width: 1px;
}
</style>
@@ -6,6 +6,8 @@
isTopologyMinimized,
debugMode,
nodeThunderboltBridge,
nodeRdmaCtl,
nodeIdentities,
type NodeInfo,
} from "$lib/stores/app.svelte";
@@ -31,6 +33,8 @@
const data = $derived(topologyData());
const debugEnabled = $derived(debugMode());
const tbBridgeData = $derived(nodeThunderboltBridge());
const rdmaCtlData = $derived(nodeRdmaCtl());
const identitiesData = $derived(nodeIdentities());
function getNodeLabel(nodeId: string): string {
const node = data?.nodes?.[nodeId];
@@ -333,14 +337,27 @@
if (edge.source === a) entry.aToB = true;
else entry.bToA = true;
const ip = edge.sendBackIp || "?";
const ifaceInfo = getInterfaceLabel(edge.source, ip);
let ip: string;
let ifaceLabel: string;
let missingIface: boolean;
if (edge.sourceRdmaIface || edge.sinkRdmaIface) {
ip = "RDMA";
ifaceLabel = `${edge.sourceRdmaIface || "?"} \u2192 ${edge.sinkRdmaIface || "?"}`;
missingIface = false;
} else {
ip = edge.sendBackIp || "?";
const ifaceInfo = getInterfaceLabel(edge.source, ip);
ifaceLabel = ifaceInfo.label;
missingIface = ifaceInfo.missing;
}
entry.connections.push({
from: edge.source,
to: edge.target,
ip,
ifaceLabel: ifaceInfo.label,
missingIface: ifaceInfo.missing,
ifaceLabel,
missingIface,
});
pairMap.set(key, entry);
});
@@ -1120,15 +1137,17 @@
.text(` (${ramUsagePercent.toFixed(0)}%)`);
}
// Debug mode: Show TB bridge status
// Debug mode: Show TB bridge and RDMA status
if (debugEnabled) {
let debugLabelY =
nodeInfo.y +
iconBaseHeight / 2 +
(showFullLabels ? 32 : showCompactLabels ? 26 : 22);
const debugFontSize = showFullLabels ? 9 : 7;
const debugLineHeight = showFullLabels ? 11 : 9;
const tbStatus = tbBridgeData[nodeInfo.id];
if (tbStatus) {
const tbY =
nodeInfo.y +
iconBaseHeight / 2 +
(showFullLabels ? 32 : showCompactLabels ? 26 : 22);
const tbFontSize = showFullLabels ? 9 : 7;
const tbColor = tbStatus.enabled
? "rgba(234,179,8,0.9)"
: "rgba(100,100,100,0.7)";
@@ -1136,12 +1155,46 @@
nodeG
.append("text")
.attr("x", nodeInfo.x)
.attr("y", tbY)
.attr("y", debugLabelY)
.attr("text-anchor", "middle")
.attr("fill", tbColor)
.attr("font-size", tbFontSize)
.attr("font-size", debugFontSize)
.attr("font-family", "SF Mono, Monaco, monospace")
.text(tbText);
debugLabelY += debugLineHeight;
}
const rdmaStatus = rdmaCtlData[nodeInfo.id];
if (rdmaStatus !== undefined) {
const rdmaColor = rdmaStatus.enabled
? "rgba(74,222,128,0.9)"
: "rgba(100,100,100,0.7)";
const rdmaText = rdmaStatus.enabled ? "RDMA:ON" : "RDMA:OFF";
nodeG
.append("text")
.attr("x", nodeInfo.x)
.attr("y", debugLabelY)
.attr("text-anchor", "middle")
.attr("fill", rdmaColor)
.attr("font-size", debugFontSize)
.attr("font-family", "SF Mono, Monaco, monospace")
.text(rdmaText);
debugLabelY += debugLineHeight;
}
const identity = identitiesData[nodeInfo.id];
if (identity?.osVersion) {
nodeG
.append("text")
.attr("x", nodeInfo.x)
.attr("y", debugLabelY)
.attr("text-anchor", "middle")
.attr("fill", "rgba(179,179,179,0.7)")
.attr("font-size", debugFontSize)
.attr("font-family", "SF Mono, Monaco, monospace")
.text(
`macOS ${identity.osVersion}${identity.osBuildVersion ? ` (${identity.osBuildVersion})` : ""}`,
);
}
}
});
+6
View File
@@ -6,3 +6,9 @@ export { default as ChatSidebar } from "./ChatSidebar.svelte";
export { default as ModelCard } from "./ModelCard.svelte";
export { default as MarkdownContent } from "./MarkdownContent.svelte";
export { default as ImageParamsPanel } from "./ImageParamsPanel.svelte";
export { default as FamilyLogos } from "./FamilyLogos.svelte";
export { default as FamilySidebar } from "./FamilySidebar.svelte";
export { default as HuggingFaceResultItem } from "./HuggingFaceResultItem.svelte";
export { default as ModelFilterPopover } from "./ModelFilterPopover.svelte";
export { default as ModelPickerGroup } from "./ModelPickerGroup.svelte";
export { default as ModelPickerModal } from "./ModelPickerModal.svelte";
+442 -28
View File
@@ -49,6 +49,7 @@ export interface NodeInfo {
};
last_macmon_update: number;
friendly_name?: string;
os_version?: string;
}
export interface TopologyEdge {
@@ -56,6 +57,8 @@ export interface TopologyEdge {
target: string;
sendBackIp?: string;
sendBackInterface?: string;
sourceRdmaIface?: string;
sinkRdmaIface?: string;
}
export interface TopologyData {
@@ -76,6 +79,8 @@ interface RawNodeIdentity {
modelId?: string;
chipId?: string;
friendlyName?: string;
osVersion?: string;
osBuildVersion?: string;
}
interface RawMemoryUsage {
@@ -225,6 +230,19 @@ interface RawStateResponse {
nodeMemory?: Record<string, RawMemoryUsage>;
nodeSystem?: Record<string, RawSystemPerformanceProfile>;
nodeNetwork?: Record<string, RawNodeNetworkInfo>;
// Thunderbolt identifiers per node
nodeThunderbolt?: Record<
string,
{
interfaces: Array<{
rdmaInterface: string;
domainUuid: string;
linkSpeed: string;
}>;
}
>;
// RDMA ctl status per node
nodeRdmaCtl?: Record<string, { enabled: boolean }>;
// Thunderbolt bridge status per node
nodeThunderboltBridge?: Record<
string,
@@ -242,6 +260,19 @@ export interface MessageAttachment {
mimeType?: string;
}
export interface TopLogprob {
token: string;
logprob: number;
bytes: number[] | null;
}
export interface TokenData {
token: string;
logprob: number;
probability: number;
topLogprobs: TopLogprob[];
}
export interface Message {
id: string;
role: "user" | "assistant" | "system";
@@ -253,6 +284,7 @@ export interface Message {
tps?: number; // Tokens per second (for assistant messages)
requestType?: "chat" | "image-generation" | "image-editing";
sourceImageDataUrl?: string; // For image editing regeneration
tokens?: TokenData[];
}
export interface Conversation {
@@ -264,6 +296,7 @@ export interface Conversation {
modelId: string | null;
sharding: string | null;
instanceType: string | null;
enableThinking: boolean | null;
}
const STORAGE_KEY = "exo-conversations";
@@ -272,7 +305,14 @@ const IMAGE_PARAMS_STORAGE_KEY = "exo-image-generation-params";
// Image generation params interface matching backend API
export interface ImageGenerationParams {
// Basic params
size: "512x512" | "768x768" | "1024x1024" | "1024x768" | "768x1024";
size:
| "512x512"
| "768x768"
| "1024x1024"
| "1024x768"
| "768x1024"
| "1024x1365"
| "1365x1024";
quality: "low" | "medium" | "high";
outputFormat: "png" | "jpeg";
numImages: number;
@@ -284,6 +324,7 @@ export interface ImageGenerationParams {
numInferenceSteps: number | null;
guidance: number | null;
negativePrompt: string | null;
numSyncSteps: number | null;
// Edit mode params
inputFidelity: "low" | "high";
}
@@ -305,6 +346,7 @@ const DEFAULT_IMAGE_PARAMS: ImageGenerationParams = {
numInferenceSteps: null,
guidance: null,
negativePrompt: null,
numSyncSteps: null,
inputFidelity: "low",
};
@@ -402,6 +444,7 @@ function transformTopology(
},
last_macmon_update: Date.now() / 1000,
friendly_name: identity?.friendlyName,
os_version: identity?.osVersion,
};
}
@@ -414,6 +457,8 @@ function transformTopology(
if (!Array.isArray(edgeList)) continue;
for (const edge of edgeList) {
let sendBackIp: string | undefined;
let sourceRdmaIface: string | undefined;
let sinkRdmaIface: string | undefined;
if (edge && typeof edge === "object" && "sinkMultiaddr" in edge) {
const multiaddr = edge.sinkMultiaddr;
if (multiaddr) {
@@ -421,10 +466,23 @@ function transformTopology(
multiaddr.ip_address ||
extractIpFromMultiaddr(multiaddr.address);
}
} else if (
edge &&
typeof edge === "object" &&
"sourceRdmaIface" in edge
) {
sourceRdmaIface = edge.sourceRdmaIface;
sinkRdmaIface = edge.sinkRdmaIface;
}
if (nodes[source] && nodes[sink] && source !== sink) {
edges.push({ source, target: sink, sendBackIp });
edges.push({
source,
target: sink,
sendBackIp,
sourceRdmaIface,
sinkRdmaIface,
});
}
}
}
@@ -467,12 +525,32 @@ class AppStore {
instances = $state<Record<string, unknown>>({});
runners = $state<Record<string, unknown>>({});
downloads = $state<Record<string, unknown[]>>({});
nodeDisk = $state<
Record<
string,
{ total: { inBytes: number }; available: { inBytes: number } }
>
>({});
placementPreviews = $state<PlacementPreview[]>([]);
selectedPreviewModelId = $state<string | null>(null);
isLoadingPreviews = $state(false);
previewNodeFilter = $state<Set<string>>(new Set());
lastUpdate = $state<number | null>(null);
nodeIdentities = $state<Record<string, RawNodeIdentity>>({});
thunderboltBridgeCycles = $state<string[][]>([]);
nodeThunderbolt = $state<
Record<
string,
{
interfaces: Array<{
rdmaInterface: string;
domainUuid: string;
linkSpeed: string;
}>;
}
>
>({});
nodeRdmaCtl = $state<Record<string, { enabled: boolean }>>({});
nodeThunderboltBridge = $state<
Record<
string,
@@ -528,6 +606,7 @@ class AppStore {
modelId: conversation.modelId ?? null,
sharding: conversation.sharding ?? null,
instanceType: conversation.instanceType ?? null,
enableThinking: conversation.enableThinking ?? null,
}));
}
} catch (error) {
@@ -540,7 +619,18 @@ class AppStore {
*/
private saveConversationsToStorage() {
try {
localStorage.setItem(STORAGE_KEY, JSON.stringify(this.conversations));
// Strip tokens from messages before saving to avoid bloating localStorage
const stripped = this.conversations.map((conv) => ({
...conv,
messages: conv.messages.map((msg) => {
if (msg.tokens) {
const { tokens: _, ...rest } = msg;
return rest;
}
return msg;
}),
}));
localStorage.setItem(STORAGE_KEY, JSON.stringify(stripped));
} catch (error) {
console.error("Failed to save conversations:", error);
}
@@ -706,6 +796,7 @@ class AppStore {
modelId: derivedModelId,
sharding: derivedSharding,
instanceType: derivedInstanceType,
enableThinking: null,
};
this.conversations.unshift(conversation);
@@ -731,6 +822,7 @@ class AppStore {
this.hasStartedChat = true;
this.isTopologyMinimized = true;
this.isSidebarOpen = true; // Auto-open sidebar when chatting
this.thinkingEnabled = conversation.enableThinking ?? true;
this.refreshConversationModelFromInstances();
return true;
@@ -1172,6 +1264,15 @@ class AppStore {
if (data.downloads) {
this.downloads = data.downloads;
}
if (data.nodeDisk) {
this.nodeDisk = data.nodeDisk;
}
// Node identities (for OS version mismatch detection)
this.nodeIdentities = data.nodeIdentities ?? {};
// Thunderbolt identifiers per node
this.nodeThunderbolt = data.nodeThunderbolt ?? {};
// RDMA ctl status per node
this.nodeRdmaCtl = data.nodeRdmaCtl ?? {};
// Thunderbolt bridge cycles
this.thunderboltBridgeCycles = data.thunderboltBridgeCycles ?? [];
// Thunderbolt bridge status per node
@@ -1445,6 +1546,213 @@ class AppStore {
}
}
/**
* Regenerate response from a specific token index.
* Truncates the assistant message at the given token and re-generates from there.
*/
async regenerateFromToken(
messageId: string,
tokenIndex: number,
): Promise<void> {
if (this.isLoading) return;
const targetConversationId = this.activeConversationId;
if (!targetConversationId) return;
const msgIndex = this.messages.findIndex((m) => m.id === messageId);
if (msgIndex === -1) return;
const msg = this.messages[msgIndex];
if (
msg.role !== "assistant" ||
!msg.tokens ||
tokenIndex >= msg.tokens.length
)
return;
// Keep tokens up to (not including) the specified index
const tokensToKeep = msg.tokens.slice(0, tokenIndex);
const prefixText = tokensToKeep.map((t) => t.token).join("");
// Remove all messages after this assistant message
this.messages = this.messages.slice(0, msgIndex + 1);
// Update the message to show the prefix
this.messages[msgIndex].content = prefixText;
this.messages[msgIndex].tokens = tokensToKeep;
this.updateActiveConversation();
// Set up for continuation - modify the existing message in place
this.isLoading = true;
this.currentResponse = prefixText;
this.ttftMs = null;
this.tps = null;
this.totalTokens = tokensToKeep.length;
try {
// Build messages for API - include the partial assistant message
const systemPrompt = {
role: "system" as const,
content:
"You are a helpful AI assistant. Respond directly and concisely. Do not show your reasoning or thought process.",
};
const apiMessages = [
systemPrompt,
...this.messages.map((m) => {
let msgContent = m.content;
if (m.attachments) {
for (const attachment of m.attachments) {
if (attachment.type === "text" && attachment.content) {
msgContent += `\n\n[File: ${attachment.name}]\n\`\`\`\n${attachment.content}\n\`\`\``;
}
}
}
return { role: m.role, content: msgContent };
}),
];
const modelToUse = this.getModelForRequest();
if (!modelToUse) {
throw new Error("No model available");
}
const requestStartTime = performance.now();
let firstTokenTime: number | null = null;
let tokenCount = tokensToKeep.length;
const response = await fetch("/v1/chat/completions", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
model: modelToUse,
messages: apiMessages,
stream: true,
logprobs: true,
top_logprobs: 5,
}),
});
if (!response.ok) {
const errorText = await response.text();
throw new Error(`API error: ${response.status} - ${errorText}`);
}
const reader = response.body?.getReader();
if (!reader) throw new Error("No response body");
let fullContent = prefixText;
const collectedTokens: TokenData[] = [...tokensToKeep];
interface ChatCompletionChunk {
choices?: Array<{
delta?: { content?: string };
logprobs?: {
content?: Array<{
token: string;
logprob: number;
top_logprobs?: Array<{
token: string;
logprob: number;
bytes: number[] | null;
}>;
}>;
};
}>;
}
await this.parseSSEStream<ChatCompletionChunk>(
reader,
targetConversationId,
(parsed) => {
const choice = parsed.choices?.[0];
const delta = choice?.delta?.content;
// Collect logprobs data
const logprobsContent = choice?.logprobs?.content;
if (logprobsContent) {
for (const item of logprobsContent) {
collectedTokens.push({
token: item.token,
logprob: item.logprob,
probability: Math.exp(item.logprob),
topLogprobs: (item.top_logprobs || []).map((t) => ({
token: t.token,
logprob: t.logprob,
bytes: t.bytes,
})),
});
}
}
if (delta) {
if (firstTokenTime === null) {
firstTokenTime = performance.now();
this.ttftMs = firstTokenTime - requestStartTime;
}
tokenCount += 1;
this.totalTokens = tokenCount;
if (firstTokenTime !== null && tokenCount > tokensToKeep.length) {
const elapsed = performance.now() - firstTokenTime;
this.tps = ((tokenCount - tokensToKeep.length) / elapsed) * 1000;
}
fullContent += delta;
const { displayContent, thinkingContent } =
this.stripThinkingTags(fullContent);
if (this.activeConversationId === targetConversationId) {
this.currentResponse = displayContent;
}
// Update existing message in place
this.updateConversationMessage(
targetConversationId,
messageId,
(m) => {
m.content = displayContent;
m.thinking = thinkingContent || undefined;
m.tokens = [...collectedTokens];
},
);
this.syncActiveMessagesIfNeeded(targetConversationId);
this.persistConversation(targetConversationId);
}
},
);
// Final update
if (this.conversationExists(targetConversationId)) {
const { displayContent, thinkingContent } =
this.stripThinkingTags(fullContent);
this.updateConversationMessage(targetConversationId, messageId, (m) => {
m.content = displayContent;
m.thinking = thinkingContent || undefined;
m.tokens = [...collectedTokens];
if (this.ttftMs !== null) m.ttftMs = this.ttftMs;
if (this.tps !== null) m.tps = this.tps;
});
this.syncActiveMessagesIfNeeded(targetConversationId);
this.persistConversation(targetConversationId);
}
} catch (error) {
console.error("Error regenerating from token:", error);
if (this.conversationExists(targetConversationId)) {
this.updateConversationMessage(targetConversationId, messageId, (m) => {
m.content = `${prefixText}\n\nError: ${error instanceof Error ? error.message : "Unknown error"}`;
});
this.syncActiveMessagesIfNeeded(targetConversationId);
this.persistConversation(targetConversationId);
}
} finally {
this.isLoading = false;
this.currentResponse = "";
this.saveConversationsToStorage();
}
}
/**
* Helper method to regenerate a chat completion response
*/
@@ -1513,6 +1821,8 @@ class AppStore {
model: modelToUse,
messages: apiMessages,
stream: true,
logprobs: true,
top_logprobs: 5,
}),
});
@@ -1527,16 +1837,49 @@ class AppStore {
}
let streamedContent = "";
const collectedTokens: TokenData[] = [];
interface ChatCompletionChunk {
choices?: Array<{ delta?: { content?: string } }>;
choices?: Array<{
delta?: { content?: string };
logprobs?: {
content?: Array<{
token: string;
logprob: number;
top_logprobs?: Array<{
token: string;
logprob: number;
bytes: number[] | null;
}>;
}>;
};
}>;
}
await this.parseSSEStream<ChatCompletionChunk>(
reader,
targetConversationId,
(parsed) => {
const delta = parsed.choices?.[0]?.delta?.content;
const choice = parsed.choices?.[0];
const delta = choice?.delta?.content;
// Collect logprobs data
const logprobsContent = choice?.logprobs?.content;
if (logprobsContent) {
for (const item of logprobsContent) {
collectedTokens.push({
token: item.token,
logprob: item.logprob,
probability: Math.exp(item.logprob),
topLogprobs: (item.top_logprobs || []).map((t) => ({
token: t.token,
logprob: t.logprob,
bytes: t.bytes,
})),
});
}
}
if (delta) {
streamedContent += delta;
const { displayContent, thinkingContent } =
@@ -1554,6 +1897,7 @@ class AppStore {
(msg) => {
msg.content = displayContent;
msg.thinking = thinkingContent || undefined;
msg.tokens = [...collectedTokens];
},
);
this.syncActiveMessagesIfNeeded(targetConversationId);
@@ -1572,6 +1916,7 @@ class AppStore {
(msg) => {
msg.content = displayContent;
msg.thinking = thinkingContent || undefined;
msg.tokens = [...collectedTokens];
},
);
this.syncActiveMessagesIfNeeded(targetConversationId);
@@ -1591,6 +1936,11 @@ class AppStore {
}
}
/**
* Whether thinking is enabled for the current conversation
*/
thinkingEnabled = $state(true);
/**
* Selected model for chat (can be set by the UI)
*/
@@ -1769,6 +2119,7 @@ class AppStore {
textContent?: string;
preview?: string;
}[],
enableThinking?: boolean | null,
): Promise<void> {
if ((!content.trim() && (!files || files.length === 0)) || this.isLoading)
return;
@@ -1914,6 +2265,11 @@ class AppStore {
messages: apiMessages,
temperature: 0.7,
stream: true,
logprobs: true,
top_logprobs: 5,
...(enableThinking != null && {
enable_thinking: enableThinking,
}),
}),
});
@@ -1930,14 +2286,48 @@ class AppStore {
let streamedContent = "";
interface ChatCompletionChunk {
choices?: Array<{ delta?: { content?: string } }>;
choices?: Array<{
delta?: { content?: string };
logprobs?: {
content?: Array<{
token: string;
logprob: number;
top_logprobs?: Array<{
token: string;
logprob: number;
bytes: number[] | null;
}>;
}>;
};
}>;
}
const collectedTokens: TokenData[] = [];
await this.parseSSEStream<ChatCompletionChunk>(
reader,
targetConversationId,
(parsed) => {
const tokenContent = parsed.choices?.[0]?.delta?.content;
const choice = parsed.choices?.[0];
const tokenContent = choice?.delta?.content;
// Collect logprobs data
const logprobsContent = choice?.logprobs?.content;
if (logprobsContent) {
for (const item of logprobsContent) {
collectedTokens.push({
token: item.token,
logprob: item.logprob,
probability: Math.exp(item.logprob),
topLogprobs: (item.top_logprobs || []).map((t) => ({
token: t.token,
logprob: t.logprob,
bytes: t.bytes,
})),
});
}
}
if (tokenContent) {
// Track first token for TTFT
if (firstTokenTime === null) {
@@ -1973,6 +2363,7 @@ class AppStore {
(msg) => {
msg.content = displayContent;
msg.thinking = thinkingContent || undefined;
msg.tokens = [...collectedTokens];
},
);
this.syncActiveMessagesIfNeeded(targetConversationId);
@@ -1997,6 +2388,7 @@ class AppStore {
(msg) => {
msg.content = displayContent;
msg.thinking = thinkingContent || undefined;
msg.tokens = [...collectedTokens];
// Store performance metrics on the message
if (this.ttftMs !== null) {
msg.ttftMs = this.ttftMs;
@@ -2089,7 +2481,9 @@ class AppStore {
params.seed !== null ||
params.numInferenceSteps !== null ||
params.guidance !== null ||
(params.negativePrompt !== null && params.negativePrompt.trim() !== "");
(params.negativePrompt !== null &&
params.negativePrompt.trim() !== "") ||
params.numSyncSteps !== null;
const requestBody: Record<string, unknown> = {
model,
@@ -2114,6 +2508,9 @@ class AppStore {
params.negativePrompt.trim() !== "" && {
negative_prompt: params.negativePrompt,
}),
...(params.numSyncSteps !== null && {
num_sync_steps: params.numSyncSteps,
}),
};
}
@@ -2363,29 +2760,19 @@ class AppStore {
formData.append("input_fidelity", params.inputFidelity);
// Advanced params
if (params.seed !== null) {
formData.append(
"advanced_params",
JSON.stringify({
seed: params.seed,
...(params.numInferenceSteps !== null && {
num_inference_steps: params.numInferenceSteps,
}),
...(params.guidance !== null && { guidance: params.guidance }),
...(params.negativePrompt !== null &&
params.negativePrompt.trim() !== "" && {
negative_prompt: params.negativePrompt,
}),
}),
);
} else if (
const hasAdvancedParams =
params.seed !== null ||
params.numInferenceSteps !== null ||
params.guidance !== null ||
(params.negativePrompt !== null && params.negativePrompt.trim() !== "")
) {
(params.negativePrompt !== null &&
params.negativePrompt.trim() !== "") ||
params.numSyncSteps !== null;
if (hasAdvancedParams) {
formData.append(
"advanced_params",
JSON.stringify({
...(params.seed !== null && { seed: params.seed }),
...(params.numInferenceSteps !== null && {
num_inference_steps: params.numInferenceSteps,
}),
@@ -2394,6 +2781,9 @@ class AppStore {
params.negativePrompt.trim() !== "" && {
negative_prompt: params.negativePrompt,
}),
...(params.numSyncSteps !== null && {
num_sync_steps: params.numSyncSteps,
}),
}),
);
}
@@ -2538,6 +2928,18 @@ class AppStore {
);
}
/**
* Update the thinking preference for the active conversation
*/
setConversationThinking(enabled: boolean) {
this.thinkingEnabled = enabled;
const conv = this.getActiveConversation();
if (conv) {
conv.enableThinking = enabled;
this.saveConversationsToStorage();
}
}
/**
* Start a download on a specific node
*/
@@ -2644,12 +3046,14 @@ export const topologyData = () => appStore.topologyData;
export const instances = () => appStore.instances;
export const runners = () => appStore.runners;
export const downloads = () => appStore.downloads;
export const nodeDisk = () => appStore.nodeDisk;
export const placementPreviews = () => appStore.placementPreviews;
export const selectedPreviewModelId = () => appStore.selectedPreviewModelId;
export const isLoadingPreviews = () => appStore.isLoadingPreviews;
export const lastUpdate = () => appStore.lastUpdate;
export const isTopologyMinimized = () => appStore.isTopologyMinimized;
export const selectedChatModel = () => appStore.selectedChatModel;
export const thinkingEnabled = () => appStore.thinkingEnabled;
export const debugMode = () => appStore.getDebugMode();
export const topologyOnlyMode = () => appStore.getTopologyOnlyMode();
export const chatSidebarVisible = () => appStore.getChatSidebarVisible();
@@ -2665,7 +3069,8 @@ export const sendMessage = (
textContent?: string;
preview?: string;
}[],
) => appStore.sendMessage(content, files);
enableThinking?: boolean | null,
) => appStore.sendMessage(content, files, enableThinking);
export const generateImage = (prompt: string, modelId?: string) =>
appStore.generateImage(prompt, modelId);
export const editImage = (
@@ -2693,6 +3098,8 @@ export const editMessage = (messageId: string, newContent: string) =>
export const editAndRegenerate = (messageId: string, newContent: string) =>
appStore.editAndRegenerate(messageId, newContent);
export const regenerateLastResponse = () => appStore.regenerateLastResponse();
export const regenerateFromToken = (messageId: string, tokenIndex: number) =>
appStore.regenerateFromToken(messageId, tokenIndex);
// Conversation actions
export const conversations = () => appStore.conversations;
@@ -2706,6 +3113,8 @@ export const deleteAllConversations = () => appStore.deleteAllConversations();
export const renameConversation = (id: string, name: string) =>
appStore.renameConversation(id, name);
export const getActiveConversation = () => appStore.getActiveConversation();
export const setConversationThinking = (enabled: boolean) =>
appStore.setConversationThinking(enabled);
// Sidebar actions
export const isSidebarOpen = () => appStore.isSidebarOpen;
@@ -2722,7 +3131,12 @@ export const setChatSidebarVisible = (visible: boolean) =>
appStore.setChatSidebarVisible(visible);
export const refreshState = () => appStore.fetchState();
// Thunderbolt bridge status
// Node identities (for OS version mismatch detection)
export const nodeIdentities = () => appStore.nodeIdentities;
// Thunderbolt & RDMA status
export const nodeThunderbolt = () => appStore.nodeThunderbolt;
export const nodeRdmaCtl = () => appStore.nodeRdmaCtl;
export const thunderboltBridgeCycles = () => appStore.thunderboltBridgeCycles;
export const nodeThunderboltBridge = () => appStore.nodeThunderboltBridge;
@@ -0,0 +1,97 @@
/**
* FavoritesStore - Manages favorite models with localStorage persistence
*/
import { browser } from "$app/environment";
const FAVORITES_KEY = "exo-favorite-models";
class FavoritesStore {
favorites = $state<Set<string>>(new Set());
constructor() {
if (browser) {
this.loadFromStorage();
}
}
private loadFromStorage() {
try {
const stored = localStorage.getItem(FAVORITES_KEY);
if (stored) {
const parsed = JSON.parse(stored) as string[];
this.favorites = new Set(parsed);
}
} catch (error) {
console.error("Failed to load favorites:", error);
}
}
private saveToStorage() {
try {
const array = Array.from(this.favorites);
localStorage.setItem(FAVORITES_KEY, JSON.stringify(array));
} catch (error) {
console.error("Failed to save favorites:", error);
}
}
add(baseModelId: string) {
const next = new Set(this.favorites);
next.add(baseModelId);
this.favorites = next;
this.saveToStorage();
}
remove(baseModelId: string) {
const next = new Set(this.favorites);
next.delete(baseModelId);
this.favorites = next;
this.saveToStorage();
}
toggle(baseModelId: string) {
if (this.favorites.has(baseModelId)) {
this.remove(baseModelId);
} else {
this.add(baseModelId);
}
}
isFavorite(baseModelId: string): boolean {
return this.favorites.has(baseModelId);
}
getAll(): string[] {
return Array.from(this.favorites);
}
getSet(): Set<string> {
return new Set(this.favorites);
}
hasAny(): boolean {
return this.favorites.size > 0;
}
clearAll() {
this.favorites = new Set();
this.saveToStorage();
}
}
export const favoritesStore = new FavoritesStore();
export const favorites = () => favoritesStore.favorites;
export const hasFavorites = () => favoritesStore.hasAny();
export const isFavorite = (baseModelId: string) =>
favoritesStore.isFavorite(baseModelId);
export const toggleFavorite = (baseModelId: string) =>
favoritesStore.toggle(baseModelId);
export const addFavorite = (baseModelId: string) =>
favoritesStore.add(baseModelId);
export const removeFavorite = (baseModelId: string) =>
favoritesStore.remove(baseModelId);
export const getFavorites = () => favoritesStore.getAll();
export const getFavoritesSet = () => favoritesStore.getSet();
export const clearFavorites = () => favoritesStore.clearAll();
@@ -0,0 +1,75 @@
/**
* RecentsStore - Manages recently launched models with localStorage persistence
*/
import { browser } from "$app/environment";
const RECENTS_KEY = "exo-recent-models";
const MAX_RECENT_MODELS = 20;
interface RecentEntry {
modelId: string;
launchedAt: number;
}
class RecentsStore {
recents = $state<RecentEntry[]>([]);
constructor() {
if (browser) {
this.loadFromStorage();
}
}
private loadFromStorage() {
try {
const stored = localStorage.getItem(RECENTS_KEY);
if (stored) {
const parsed = JSON.parse(stored) as RecentEntry[];
this.recents = parsed;
}
} catch (error) {
console.error("Failed to load recent models:", error);
}
}
private saveToStorage() {
try {
localStorage.setItem(RECENTS_KEY, JSON.stringify(this.recents));
} catch (error) {
console.error("Failed to save recent models:", error);
}
}
recordLaunch(modelId: string) {
// Remove existing entry for this model (if any) to move it to top
const filtered = this.recents.filter((r) => r.modelId !== modelId);
// Prepend new entry
const next = [{ modelId, launchedAt: Date.now() }, ...filtered];
// Cap at max
this.recents = next.slice(0, MAX_RECENT_MODELS);
this.saveToStorage();
}
getRecentModelIds(): string[] {
return this.recents.map((r) => r.modelId);
}
hasAny(): boolean {
return this.recents.length > 0;
}
clearAll() {
this.recents = [];
this.saveToStorage();
}
}
export const recentsStore = new RecentsStore();
export const hasRecents = () => recentsStore.hasAny();
export const getRecentModelIds = () => recentsStore.getRecentModelIds();
export const getRecentEntries = () => recentsStore.recents;
export const recordRecentLaunch = (modelId: string) =>
recentsStore.recordLaunch(modelId);
export const clearRecents = () => recentsStore.clearAll();
+152
View File
@@ -0,0 +1,152 @@
/**
* Shared utilities for parsing and querying download state.
*
* The download state from `/state` is shaped as:
* Record<NodeId, Array<TaggedDownloadEntry>>
*
* Each entry is a tagged union object like:
* { "DownloadCompleted": { shard_metadata: { "PipelineShardMetadata": { model_card: { model_id: "..." }, ... } }, ... } }
*/
/** Unwrap one level of tagged-union envelope, returning [tag, payload]. */
function unwrapTagged(
obj: Record<string, unknown>,
): [string, Record<string, unknown>] | null {
const keys = Object.keys(obj);
if (keys.length !== 1) return null;
const tag = keys[0];
const payload = obj[tag];
if (!payload || typeof payload !== "object") return null;
return [tag, payload as Record<string, unknown>];
}
/** Extract the model ID string from a download entry's nested shard_metadata. */
export function extractModelIdFromDownload(
downloadPayload: Record<string, unknown>,
): string | null {
const shardMetadata =
downloadPayload.shard_metadata ?? downloadPayload.shardMetadata;
if (!shardMetadata || typeof shardMetadata !== "object") return null;
const unwrapped = unwrapTagged(shardMetadata as Record<string, unknown>);
if (!unwrapped) return null;
const [, shardData] = unwrapped;
const modelMeta = shardData.model_card ?? shardData.modelCard;
if (!modelMeta || typeof modelMeta !== "object") return null;
const meta = modelMeta as Record<string, unknown>;
return (meta.model_id as string) ?? (meta.modelId as string) ?? null;
}
/** Extract the shard_metadata object from a download entry payload. */
export function extractShardMetadata(
downloadPayload: Record<string, unknown>,
): Record<string, unknown> | null {
const shardMetadata =
downloadPayload.shard_metadata ?? downloadPayload.shardMetadata;
if (!shardMetadata || typeof shardMetadata !== "object") return null;
return shardMetadata as Record<string, unknown>;
}
/** Get the download tag (DownloadCompleted, DownloadOngoing, etc.) from a wrapped entry. */
export function getDownloadTag(
entry: unknown,
): [string, Record<string, unknown>] | null {
if (!entry || typeof entry !== "object") return null;
return unwrapTagged(entry as Record<string, unknown>);
}
/**
* Iterate over all download entries for a given node, yielding [tag, payload, modelId].
*/
function* iterNodeDownloads(
nodeDownloads: unknown[],
): Generator<[string, Record<string, unknown>, string]> {
for (const entry of nodeDownloads) {
const tagged = getDownloadTag(entry);
if (!tagged) continue;
const [tag, payload] = tagged;
const modelId = extractModelIdFromDownload(payload);
if (!modelId) continue;
yield [tag, payload, modelId];
}
}
/** Check if a specific model is fully downloaded (DownloadCompleted) on a specific node. */
export function isModelDownloadedOnNode(
downloadsData: Record<string, unknown[]>,
nodeId: string,
modelId: string,
): boolean {
const nodeDownloads = downloadsData[nodeId];
if (!Array.isArray(nodeDownloads)) return false;
for (const [tag, , entryModelId] of iterNodeDownloads(nodeDownloads)) {
if (tag === "DownloadCompleted" && entryModelId === modelId) return true;
}
return false;
}
/** Get all node IDs where a model is fully downloaded (DownloadCompleted). */
export function getNodesWithModelDownloaded(
downloadsData: Record<string, unknown[]>,
modelId: string,
): string[] {
const result: string[] = [];
for (const nodeId of Object.keys(downloadsData)) {
if (isModelDownloadedOnNode(downloadsData, nodeId, modelId)) {
result.push(nodeId);
}
}
return result;
}
/**
* Find shard metadata for a model from any download entry across all nodes.
* Returns the first match found (completed entries are preferred).
*/
export function getShardMetadataForModel(
downloadsData: Record<string, unknown[]>,
modelId: string,
): Record<string, unknown> | null {
let fallback: Record<string, unknown> | null = null;
for (const nodeDownloads of Object.values(downloadsData)) {
if (!Array.isArray(nodeDownloads)) continue;
for (const [tag, payload, entryModelId] of iterNodeDownloads(
nodeDownloads,
)) {
if (entryModelId !== modelId) continue;
const shard = extractShardMetadata(payload);
if (!shard) continue;
if (tag === "DownloadCompleted") return shard;
if (!fallback) fallback = shard;
}
}
return fallback;
}
/**
* Get the download status tag for a specific model on a specific node.
* Returns the "best" status: DownloadCompleted > DownloadOngoing > others.
*/
export function getModelDownloadStatus(
downloadsData: Record<string, unknown[]>,
nodeId: string,
modelId: string,
): string | null {
const nodeDownloads = downloadsData[nodeId];
if (!Array.isArray(nodeDownloads)) return null;
let best: string | null = null;
for (const [tag, , entryModelId] of iterNodeDownloads(nodeDownloads)) {
if (entryModelId !== modelId) continue;
if (tag === "DownloadCompleted") return tag;
if (tag === "DownloadOngoing") best = tag;
else if (!best) best = tag;
}
return best;
}
File diff suppressed because it is too large Load Diff
+19 -7
View File
@@ -3,6 +3,7 @@
import {
topologyData,
downloads,
nodeDisk,
type DownloadProgress,
refreshState,
lastUpdate as lastUpdateStore,
@@ -37,10 +38,13 @@
nodeId: string;
nodeName: string;
models: ModelEntry[];
diskAvailable?: number;
diskTotal?: number;
};
const data = $derived(topologyData());
const downloadsData = $derived(downloads());
const nodeDiskData = $derived(nodeDisk());
function getNodeLabel(nodeId: string): string {
const node = data?.nodes?.[nodeId];
@@ -327,10 +331,17 @@
];
}
// Get disk info for this node
const diskInfo = nodeDiskData?.[nodeId];
const diskAvailable = diskInfo?.available?.inBytes;
const diskTotal = diskInfo?.total?.inBytes;
built.push({
nodeId,
nodeName: getNodeLabel(nodeId),
models,
diskAvailable,
diskTotal,
});
}
@@ -417,6 +428,14 @@
<div class="text-xs text-exo-light-gray font-mono truncate">
{node.nodeId}
</div>
<div class="text-xs text-exo-light-gray font-mono mt-1">
{formatBytes(
node.models
.filter((m) => m.status === "completed")
.reduce((sum, m) => sum + m.totalBytes, 0),
)} models{#if node.diskAvailable != null}
- {formatBytes(node.diskAvailable)} free{/if}
</div>
</div>
<div
class="text-xs font-mono uppercase tracking-wider whitespace-nowrap shrink-0 text-right"
@@ -429,13 +448,6 @@
/ {node.models.length} models</span
>
</div>
<div class="text-exo-light-gray normal-case tracking-normal">
{formatBytes(
node.models
.filter((m) => m.status === "completed")
.reduce((sum, m) => sum + m.totalBytes, 0),
)} on disk
</div>
</div>
</div>
+58
View File
@@ -0,0 +1,58 @@
# Stage 1: Build the dashboard
FROM node:22-slim AS dashboard
WORKDIR /app/dashboard
COPY dashboard/package.json dashboard/package-lock.json ./
RUN npm ci
COPY dashboard/ .
RUN npm run build
# Stage 2: Build and run exo
FROM python:3.13-slim
# Install system dependencies
# libblas-dev/liblapack-dev/liblapacke-dev are required by MLX CPU backend on Linux
RUN apt-get update && apt-get install -y \
build-essential \
pkg-config \
libssl-dev \
libblas-dev \
liblapack-dev \
liblapacke-dev \
curl \
protobuf-compiler \
iptables \
&& rm -rf /var/lib/apt/lists/*
# Install Rust nightly
RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y --default-toolchain nightly
ENV PATH="/root/.cargo/bin:${PATH}"
# Wrap g++ with -fpermissive to fix MLX CPU JIT compilation with GCC 14
# (GCC 14 treats _Float128/_Float32/_Float64 as built-in types, conflicting with MLX-generated code)
# Must be done BEFORE uv sync so any source builds also get the fix
RUN mv /usr/bin/g++ /usr/bin/g++.real && \
printf '#!/bin/sh\nexec /usr/bin/g++.real -fpermissive "$@"\n' > /usr/bin/g++ && \
chmod +x /usr/bin/g++
# Install uv
COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
WORKDIR /app
# Copy dependency files first for better layer caching
COPY pyproject.toml Cargo.toml uv.lock README.md ./
COPY rust/ ./rust/
COPY bench/pyproject.toml ./bench/pyproject.toml
# Copy source and resources
COPY src/ ./src/
COPY resources/ ./resources/
# Copy built dashboard from stage 1
COPY --from=dashboard /app/dashboard/build ./dashboard/build/
# Install Python deps and build Rust bindings, then clean up build artifacts
# to keep the layer small (Rust target/ and cargo registry can be 1-2 GB)
RUN uv sync && rm -rf /app/rust/target /root/.cargo/registry /root/.cargo/git
CMD [".venv/bin/exo", "-v"]
+195
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@@ -0,0 +1,195 @@
"""Shared E2E test infrastructure for exo cluster tests."""
import asyncio
import json
import os
import sys
from pathlib import Path
from urllib.error import URLError
from urllib.request import Request, urlopen
E2E_DIR = Path(__file__).parent.resolve()
TIMEOUT = int(os.environ.get("E2E_TIMEOUT", "120"))
class Cluster:
"""Async wrapper around a docker compose exo cluster."""
def __init__(self, name: str, overrides: list[str] | None = None):
self.name = name
self.project = f"e2e-{name}"
compose_files = [str(E2E_DIR / "docker-compose.yml")]
for path in overrides or []:
compose_files.append(str(E2E_DIR / path))
self._compose_base = [
"docker",
"compose",
"-p",
self.project,
*[arg for f in compose_files for arg in ("-f", f)],
]
async def __aenter__(self):
return self
async def __aexit__(self, *exc):
await self.stop()
async def _run(self, *args: str, check: bool = True) -> str:
proc = await asyncio.create_subprocess_exec(
*self._compose_base,
*args,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.STDOUT,
)
stdout, _ = await proc.communicate()
output = stdout.decode()
if check and proc.returncode != 0:
print(output, file=sys.stderr)
raise RuntimeError(
f"docker compose {' '.join(args)} failed (rc={proc.returncode})"
)
return output
async def build(self):
# Skip build if the image was pre-built (e.g. in CI with buildx cache)
proc = await asyncio.create_subprocess_exec(
"docker",
"image",
"inspect",
"exo-e2e:latest",
stdout=asyncio.subprocess.DEVNULL,
stderr=asyncio.subprocess.DEVNULL,
)
await proc.wait()
if proc.returncode == 0:
print(" Using pre-built image (exo-e2e:latest)")
return
print(" Building images...")
await self._run("build", "--quiet")
async def start(self):
print(" Starting cluster...")
await self._run("up", "-d")
async def stop(self):
print(" Cleaning up...")
await self._run("down", "--timeout", "5", check=False)
async def logs(self) -> str:
return await self._run("logs", check=False)
async def exec(
self, service: str, *cmd: str, check: bool = True
) -> tuple[int, str]:
"""Run a command inside a running container. Returns (returncode, output)."""
proc = await asyncio.create_subprocess_exec(
*self._compose_base,
"exec",
"-T",
service,
*cmd,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.STDOUT,
)
stdout, _ = await proc.communicate()
output = stdout.decode()
if check and proc.returncode != 0:
raise RuntimeError(
f"exec {' '.join(cmd)} in {service} failed (rc={proc.returncode})"
)
return proc.returncode, output
async def wait_for(self, description: str, check_fn, timeout: int = TIMEOUT):
"""Poll check_fn every 2s until it returns True or timeout expires."""
print(f" Waiting for {description}...")
deadline = asyncio.get_event_loop().time() + timeout
while asyncio.get_event_loop().time() < deadline:
if await check_fn():
print(f" {description}")
return
await asyncio.sleep(2)
output = await self.logs()
print(f"--- cluster logs ---\n{output}\n---", file=sys.stderr)
raise TimeoutError(f"Timed out waiting for {description}")
async def assert_healthy(self):
"""Verify the cluster formed correctly: nodes started, discovered each other, elected a master, API responds."""
async def both_nodes_started():
log = await self.logs()
return log.count("Starting node") >= 2
async def nodes_discovered():
log = await self.logs()
return log.count("ConnectionMessageType.Connected") >= 2
async def master_elected():
log = await self.logs()
return "demoting self" in log
async def api_responding():
try:
with urlopen("http://localhost:52415/v1/models", timeout=3) as resp:
return resp.status == 200
except (URLError, OSError):
return False
await self.wait_for("Both nodes started", both_nodes_started)
await self.wait_for("Nodes discovered each other", nodes_discovered)
await self.wait_for("Master election resolved", master_elected)
await self.wait_for("API responding", api_responding)
async def _api(
self, method: str, path: str, body: dict | None = None, timeout: int = 30
) -> dict:
"""Make an API request to the cluster. Returns parsed JSON."""
url = f"http://localhost:52415{path}"
data = json.dumps(body).encode() if body else None
req = Request(
url, data=data, headers={"Content-Type": "application/json"}, method=method
)
loop = asyncio.get_event_loop()
resp_bytes = await loop.run_in_executor(
None, lambda: urlopen(req, timeout=timeout).read()
)
return json.loads(resp_bytes)
async def place_model(self, model: str, timeout: int = 600):
"""Place a model instance on the cluster (triggers download) and wait until it's ready."""
await self._api("POST", "/place_instance", {"model_id": model})
async def model_ready():
try:
resp = await self._api("GET", "/v1/models")
return any(m.get("id") == model for m in resp.get("data", []))
except Exception:
return False
await self.wait_for(f"Model {model} ready", model_ready, timeout=timeout)
async def chat(
self, model: str, messages: list[dict], timeout: int = 600, **kwargs
) -> dict:
"""Send a chat completion request. Retries until model is downloaded and inference completes."""
body = json.dumps({"model": model, "messages": messages, **kwargs}).encode()
deadline = asyncio.get_event_loop().time() + timeout
last_error = None
while asyncio.get_event_loop().time() < deadline:
try:
req = Request(
"http://localhost:52415/v1/chat/completions",
data=body,
headers={"Content-Type": "application/json"},
)
loop = asyncio.get_event_loop()
resp_bytes = await loop.run_in_executor(
None, lambda r=req: urlopen(r, timeout=300).read()
)
return json.loads(resp_bytes)
except Exception as e:
last_error = e
await asyncio.sleep(5)
raise TimeoutError(f"Chat request failed after {timeout}s: {last_error}")
+20
View File
@@ -0,0 +1,20 @@
services:
exo-node-1:
image: exo-e2e:latest
build:
context: ..
dockerfile: e2e/Dockerfile
environment:
- EXO_LIBP2P_NAMESPACE=docker-e2e
command: [".venv/bin/exo", "-v"]
ports:
- "52415:52415"
exo-node-2:
image: exo-e2e:latest
build:
context: ..
dockerfile: e2e/Dockerfile
environment:
- EXO_LIBP2P_NAMESPACE=docker-e2e
command: [".venv/bin/exo", "-v"]
+83
View File
@@ -0,0 +1,83 @@
#!/usr/bin/env python3
"""Discovers and runs all E2E tests in e2e/test_*.py.
Tests with '# slow' on the first line of their docstring are skipped
unless --slow is passed or E2E_SLOW=1 is set.
"""
import os
import subprocess
import sys
from pathlib import Path
E2E_DIR = Path(__file__).parent.resolve()
def is_slow(test_file: Path) -> bool:
"""Check if the test file is marked as slow (has '# slow' in first 3 lines)."""
with open(test_file) as f:
for line in f:
if line.strip().startswith("#"):
continue
if line.strip().startswith('"""') or line.strip().startswith("'''"):
# Read into the docstring
for doc_line in f:
if "slow" in doc_line.lower() and doc_line.strip().startswith(
"slow"
):
return True
if '"""' in doc_line or "'''" in doc_line:
break
break
return False
def main():
run_slow = "--slow" in sys.argv or os.environ.get("E2E_SLOW") == "1"
if "--update-snapshots" in sys.argv:
os.environ["UPDATE_SNAPSHOTS"] = "1"
test_files = sorted(E2E_DIR.glob("test_*.py"))
if not test_files:
print("No test files found")
sys.exit(1)
passed = 0
failed = 0
skipped = 0
failures = []
for test_file in test_files:
name = test_file.stem
if is_slow(test_file) and not run_slow:
print(f"=== {name} === SKIPPED (slow, use --slow to run)")
skipped += 1
continue
print(f"=== {name} ===")
result = subprocess.run([sys.executable, str(test_file)])
if result.returncode == 0:
passed += 1
else:
# Retry once — Docker networking (mDNS) can be slow on first boot
print(f"\n=== {name} === RETRYING (attempt 2/2)")
result = subprocess.run([sys.executable, str(test_file)])
if result.returncode == 0:
passed += 1
else:
failed += 1
failures.append(name)
print()
total = passed + failed + skipped
print("================================")
print(
f"{passed}/{total} tests passed" + (f", {skipped} skipped" if skipped else "")
)
if failed:
print(f"Failed: {' '.join(failures)}")
sys.exit(1)
if __name__ == "__main__":
main()
+78
View File
@@ -0,0 +1,78 @@
"""Snapshot testing infrastructure for E2E tests.
Provides deterministic regression testing by comparing inference output
against committed baseline snapshots. Tests FAIL if no baseline exists
baselines must be explicitly generated and committed.
Generate baselines: UPDATE_SNAPSHOTS=1 python3 e2e/run_all.py --slow
Update after intentional changes: UPDATE_SNAPSHOTS=1 python3 e2e/run_all.py --slow
Snapshots are stored per-architecture (e.g. snapshots/x86_64/, snapshots/arm64/)
since floating-point results differ between CPU architectures.
"""
import difflib
import json
import os
import platform
from pathlib import Path
ARCH = platform.machine()
SNAPSHOTS_DIR = Path(__file__).parent / "snapshots" / ARCH
def assert_snapshot(
name: str,
content: str,
metadata: dict,
) -> None:
"""Compare content against a saved snapshot, or create one if missing.
Args:
name: Snapshot identifier (used as filename: snapshots/{arch}/{name}.json).
content: The actual inference output to compare.
metadata: Additional context stored alongside content (model, seed, etc.).
Not used for comparison -- purely documentary.
Raises:
AssertionError: If content doesn't match the saved snapshot.
Environment:
UPDATE_SNAPSHOTS=1: Overwrite existing snapshot with actual content.
"""
snapshot_file = SNAPSHOTS_DIR / f"{name}.json"
update = os.environ.get("UPDATE_SNAPSHOTS") == "1"
if update:
# Explicitly regenerate snapshot
SNAPSHOTS_DIR.mkdir(parents=True, exist_ok=True)
snapshot_data = {**metadata, "arch": ARCH, "content": content}
snapshot_file.write_text(json.dumps(snapshot_data, indent=2) + "\n")
print(f" Updated snapshot: {ARCH}/{snapshot_file.name}")
elif not snapshot_file.exists():
raise AssertionError(
f"No baseline snapshot for '{name}' on {ARCH}.\n"
f"Expected file: {snapshot_file}\n\n"
f"Generate baselines with: UPDATE_SNAPSHOTS=1 python3 e2e/run_all.py --slow"
)
else:
snapshot = json.loads(snapshot_file.read_text())
expected = snapshot["content"]
if content != expected:
diff = "\n".join(
difflib.unified_diff(
expected.splitlines(),
content.splitlines(),
fromfile=f"expected ({snapshot_file.relative_to(SNAPSHOTS_DIR.parent.parent)})",
tofile="actual",
lineterm="",
)
)
raise AssertionError(
f"Snapshot mismatch for '{name}' on {ARCH}!\n\n"
f"{diff}\n\n"
f"Expected: {expected!r}\n"
f"Actual: {content!r}\n\n"
f"To update: UPDATE_SNAPSHOTS=1 python3 e2e/run_all.py --slow"
)
print(f" Output matches snapshot ({ARCH}/{snapshot_file.name})")
+22
View File
@@ -0,0 +1,22 @@
"""Test: Basic cluster formation.
Verifies two nodes discover each other, elect a master, and the API responds.
"""
import asyncio
import sys
sys.path.insert(0, str(__import__("pathlib").Path(__file__).parent))
from conftest import Cluster
async def main():
async with Cluster("cluster_formation") as cluster:
await cluster.build()
await cluster.start()
await cluster.assert_healthy()
print("PASSED: cluster_formation")
if __name__ == "__main__":
asyncio.run(main())
+61
View File
@@ -0,0 +1,61 @@
"""Test: Deterministic inference output (snapshot test).
Sends a chat completion request with a fixed seed,
then verifies the output matches a known-good snapshot. This ensures
inference produces consistent results across runs.
Uses MLX CPU backend in Docker on x86 Linux.
"""
import asyncio
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent))
from snapshot import assert_snapshot
from conftest import Cluster
MODEL = "mlx-community/Qwen3-0.6B-4bit"
SEED = 42
PROMPT = "What is 2+2? Reply with just the number."
MAX_TOKENS = 32
async def main():
async with Cluster("inference_snapshot") as cluster:
await cluster.build()
await cluster.start()
await cluster.assert_healthy()
print(f" Launching model {MODEL}...")
await cluster.place_model(MODEL)
print(f" Sending chat completion (seed={SEED})...")
resp = await cluster.chat(
model=MODEL,
messages=[{"role": "user", "content": PROMPT}],
seed=SEED,
temperature=0,
max_tokens=MAX_TOKENS,
)
content = resp["choices"][0]["message"]["content"]
print(f" Response: {content!r}")
assert_snapshot(
name="inference_snapshot",
content=content,
metadata={
"model": MODEL,
"seed": SEED,
"prompt": PROMPT,
"max_tokens": MAX_TOKENS,
},
)
print("PASSED: inference_snapshot")
if __name__ == "__main__":
asyncio.run(main())
+47
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@@ -0,0 +1,47 @@
"""Test: Cluster works without internet access.
Verifies exo functions correctly when containers can talk to each other
but cannot reach the internet. Uses iptables to block all outbound traffic
except private subnets and multicast (for mDNS discovery).
"""
import asyncio
import sys
sys.path.insert(0, str(__import__("pathlib").Path(__file__).parent))
from conftest import Cluster
async def main():
async with Cluster(
"no_internet",
overrides=["tests/no_internet/docker-compose.override.yml"],
) as cluster:
await cluster.build()
await cluster.start()
await cluster.assert_healthy()
# Verify internet is actually blocked from inside the containers
for node in ["exo-node-1", "exo-node-2"]:
rc, _ = await cluster.exec(
node,
"curl",
"-sf",
"--max-time",
"3",
"https://huggingface.co",
check=False,
)
assert rc != 0, f"{node} should not be able to reach the internet"
print(f" {node}: internet correctly blocked")
# Verify exo detected no internet connectivity
log = await cluster.logs()
assert "Internet connectivity: False" in log, "exo should detect no internet"
print(" exo correctly detected no internet connectivity")
print("PASSED: no_internet")
if __name__ == "__main__":
asyncio.run(main())
+65
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@@ -0,0 +1,65 @@
"""Test: Runner chaos — abrupt runner death detection.
slow
Sends a chat completion with the EXO_RUNNER_MUST_DIE trigger, which causes
the runner process to call os._exit(1) (simulating an OOM kill). Verifies that
the RunnerSupervisor health check detects the death and the system doesn't hang.
Requires a machine that can run MLX inference at reasonable speed (Apple Silicon).
Run with: python3 e2e/run_all.py --slow or E2E_SLOW=1 python3 e2e/run_all.py
"""
import asyncio
import contextlib
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent))
from conftest import Cluster
MODEL = "mlx-community/Qwen3-0.6B-4bit"
async def main():
async with Cluster("runner_chaos") as cluster:
await cluster.build()
await cluster.start()
await cluster.assert_healthy()
# Place the model so a runner is loaded and ready
print(f" Launching model {MODEL}...")
await cluster.place_model(MODEL)
# Send a chat request with the die trigger.
# The runner will call os._exit(1) mid-inference, simulating OOM kill.
# The chat request itself will fail — that's expected.
print(" Sending EXO_RUNNER_MUST_DIE trigger...")
with contextlib.suppress(Exception):
await cluster.chat(
model=MODEL,
messages=[{"role": "user", "content": "EXO RUNNER MUST DIE"}],
timeout=60,
)
# Wait for the health check to detect the death and emit RunnerFailed
async def health_check_detected():
log = await cluster.logs()
return "runner process died unexpectedly" in log
await cluster.wait_for(
"Health check detected runner death",
health_check_detected,
timeout=30,
)
# Verify RunnerFailed was emitted (visible in logs)
log = await cluster.logs()
assert "runner process died unexpectedly" in log, (
f"Expected health check to detect runner death but it didn't.\nLogs:\n{log}"
)
print("PASSED: runner_chaos")
if __name__ == "__main__":
asyncio.run(main())
+60
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@@ -0,0 +1,60 @@
"""Test: Code generation snapshot.
slow
Verifies deterministic output for a code generation prompt.
"""
import asyncio
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent))
from snapshot import assert_snapshot
from conftest import Cluster
MODEL = "mlx-community/Qwen3-0.6B-4bit"
SEED = 42
PROMPT = (
"Write a Python function to reverse a string. Only output the code, no explanation."
)
MAX_TOKENS = 64
async def main():
async with Cluster("snapshot_code_gen") as cluster:
await cluster.build()
await cluster.start()
await cluster.assert_healthy()
print(f" Launching model {MODEL}...")
await cluster.place_model(MODEL)
print(f" Sending chat completion (seed={SEED})...")
resp = await cluster.chat(
model=MODEL,
messages=[{"role": "user", "content": PROMPT}],
seed=SEED,
temperature=0,
max_tokens=MAX_TOKENS,
)
content = resp["choices"][0]["message"]["content"]
print(f" Response: {content!r}")
assert_snapshot(
name="snapshot_code_gen",
content=content,
metadata={
"model": MODEL,
"seed": SEED,
"prompt": PROMPT,
"max_tokens": MAX_TOKENS,
},
)
print("PASSED: snapshot_code_gen")
if __name__ == "__main__":
asyncio.run(main())
+65
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@@ -0,0 +1,65 @@
"""Test: Edge case snapshots.
slow
Verifies deterministic output for edge-case prompts: single word input,
special characters, and unicode.
"""
import asyncio
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent))
from snapshot import assert_snapshot
from conftest import Cluster
MODEL = "mlx-community/Qwen3-0.6B-4bit"
SEED = 42
MAX_TOKENS = 32
CASES = [
("edge_single_word", "Hi"),
("edge_special_chars", "What does 2 * (3 + 4) / 7 - 1 equal? Use <math> tags."),
("edge_unicode", "Translate 'hello' to Japanese, Chinese, and Korean."),
]
async def main():
async with Cluster("snapshot_edge") as cluster:
await cluster.build()
await cluster.start()
await cluster.assert_healthy()
print(f" Launching model {MODEL}...")
await cluster.place_model(MODEL)
for snapshot_name, prompt in CASES:
print(f" [{snapshot_name}] Sending: {prompt!r}")
resp = await cluster.chat(
model=MODEL,
messages=[{"role": "user", "content": prompt}],
seed=SEED,
temperature=0,
max_tokens=MAX_TOKENS,
)
content = resp["choices"][0]["message"]["content"]
print(f" [{snapshot_name}] Response: {content!r}")
assert_snapshot(
name=snapshot_name,
content=content,
metadata={
"model": MODEL,
"seed": SEED,
"prompt": prompt,
"max_tokens": MAX_TOKENS,
},
)
print("PASSED: snapshot_edge")
if __name__ == "__main__":
asyncio.run(main())
+58
View File
@@ -0,0 +1,58 @@
"""Test: Longer output snapshot.
slow
Verifies deterministic output with a higher max_tokens (128).
"""
import asyncio
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent))
from snapshot import assert_snapshot
from conftest import Cluster
MODEL = "mlx-community/Qwen3-0.6B-4bit"
SEED = 42
PROMPT = "Explain how a binary search algorithm works."
MAX_TOKENS = 128
async def main():
async with Cluster("snapshot_long_output") as cluster:
await cluster.build()
await cluster.start()
await cluster.assert_healthy()
print(f" Launching model {MODEL}...")
await cluster.place_model(MODEL)
print(f" Sending chat completion (seed={SEED}, max_tokens={MAX_TOKENS})...")
resp = await cluster.chat(
model=MODEL,
messages=[{"role": "user", "content": PROMPT}],
seed=SEED,
temperature=0,
max_tokens=MAX_TOKENS,
)
content = resp["choices"][0]["message"]["content"]
print(f" Response: {content!r}")
assert_snapshot(
name="snapshot_long_output",
content=content,
metadata={
"model": MODEL,
"seed": SEED,
"prompt": PROMPT,
"max_tokens": MAX_TOKENS,
},
)
print("PASSED: snapshot_long_output")
if __name__ == "__main__":
asyncio.run(main())
+73
View File
@@ -0,0 +1,73 @@
"""Test: Multi-model snapshot tests.
slow
Verifies deterministic output across different model architectures to catch
model-specific regressions. Each model uses its own snapshot file.
Run with: python3 e2e/run_all.py --slow or E2E_SLOW=1 python3 e2e/run_all.py
"""
import asyncio
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent))
from snapshot import assert_snapshot
from conftest import Cluster
SEED = 42
PROMPT = "What is the capital of France?"
MAX_TOKENS = 32
MODELS = [
"mlx-community/SmolLM2-135M-Instruct",
"mlx-community/Llama-3.2-1B-Instruct-4bit",
"mlx-community/gemma-2-2b-it-4bit",
]
async def main():
async with Cluster("snapshot_multi_model") as cluster:
await cluster.build()
await cluster.start()
await cluster.assert_healthy()
for model in MODELS:
short_name = (
model.split("/")[-1].lower().replace("-", "_").replace(".", "_")
)
snapshot_name = f"snapshot_multi_{short_name}"
print(f" Launching model {model}...")
await cluster.place_model(model)
print(f" Sending chat completion (seed={SEED})...")
resp = await cluster.chat(
model=model,
messages=[{"role": "user", "content": PROMPT}],
seed=SEED,
temperature=0,
max_tokens=MAX_TOKENS,
)
content = resp["choices"][0]["message"]["content"]
print(f" [{short_name}] Response: {content!r}")
assert_snapshot(
name=snapshot_name,
content=content,
metadata={
"model": model,
"seed": SEED,
"prompt": PROMPT,
"max_tokens": MAX_TOKENS,
},
)
print(f" [{short_name}] PASSED")
print("PASSED: snapshot_multi_model")
if __name__ == "__main__":
asyncio.run(main())
+58
View File
@@ -0,0 +1,58 @@
"""Test: Reasoning/math snapshot.
slow
Verifies deterministic output for a simple reasoning prompt.
"""
import asyncio
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent))
from snapshot import assert_snapshot
from conftest import Cluster
MODEL = "mlx-community/Qwen3-0.6B-4bit"
SEED = 42
PROMPT = "If I have 3 apples and give away 1, how many do I have? Think step by step."
MAX_TOKENS = 64
async def main():
async with Cluster("snapshot_reasoning") as cluster:
await cluster.build()
await cluster.start()
await cluster.assert_healthy()
print(f" Launching model {MODEL}...")
await cluster.place_model(MODEL)
print(f" Sending chat completion (seed={SEED})...")
resp = await cluster.chat(
model=MODEL,
messages=[{"role": "user", "content": PROMPT}],
seed=SEED,
temperature=0,
max_tokens=MAX_TOKENS,
)
content = resp["choices"][0]["message"]["content"]
print(f" Response: {content!r}")
assert_snapshot(
name="snapshot_reasoning",
content=content,
metadata={
"model": MODEL,
"seed": SEED,
"prompt": PROMPT,
"max_tokens": MAX_TOKENS,
},
)
print("PASSED: snapshot_reasoning")
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,32 @@
# Block all outbound internet traffic using iptables while preserving:
# - Multicast (224.0.0.0/4) for mDNS peer discovery
# - Private subnets (10/8, 172.16/12, 192.168/16) for inter-container communication
# - Loopback (127/8)
# Requires NET_ADMIN capability for iptables.
services:
exo-node-1:
cap_add:
- NET_ADMIN
entrypoint: ["/bin/sh", "-c"]
command:
- |
iptables -A OUTPUT -d 127.0.0.0/8 -j ACCEPT
iptables -A OUTPUT -d 10.0.0.0/8 -j ACCEPT
iptables -A OUTPUT -d 172.16.0.0/12 -j ACCEPT
iptables -A OUTPUT -d 192.168.0.0/16 -j ACCEPT
iptables -A OUTPUT -d 224.0.0.0/4 -j ACCEPT
iptables -A OUTPUT -j REJECT
exec .venv/bin/exo -v
exo-node-2:
cap_add:
- NET_ADMIN
entrypoint: ["/bin/sh", "-c"]
command:
- |
iptables -A OUTPUT -d 127.0.0.0/8 -j ACCEPT
iptables -A OUTPUT -d 10.0.0.0/8 -j ACCEPT
iptables -A OUTPUT -d 172.16.0.0/12 -j ACCEPT
iptables -A OUTPUT -d 192.168.0.0/16 -j ACCEPT
iptables -A OUTPUT -d 224.0.0.0/4 -j ACCEPT
iptables -A OUTPUT -j REJECT
exec .venv/bin/exo -v
+5 -1
View File
@@ -83,6 +83,9 @@
_module.args.pkgs = import inputs.nixpkgs {
inherit system;
config.allowUnfreePredicate = pkg: (pkg.pname or "") == "metal-toolchain";
overlays = [
(import ./nix/apple-sdk-overlay.nix)
];
};
treefmt = {
projectRootFile = "flake.nix";
@@ -118,9 +121,10 @@
{
metal-toolchain = pkgs.callPackage ./nix/metal-toolchain.nix { };
mlx = pkgs.callPackage ./nix/mlx.nix {
metal-toolchain = self'.packages.metal-toolchain;
inherit (self'.packages) metal-toolchain;
inherit uvLockMlxVersion;
};
default = self'.packages.exo;
}
);
+1 -1
View File
@@ -20,7 +20,7 @@ sync-clean:
rust-rebuild:
cargo run --bin stub_gen
just sync-clean
uv sync --reinstall-package exo_pyo3_bindings
build-dashboard:
#!/usr/bin/env bash
+18
View File
@@ -0,0 +1,18 @@
# Overlay that builds apple-sdk with a custom versions.json (for SDK 26.2).
# The upstream nixpkgs package reads versions.json at eval time via a relative
# path, so we can't override it through callPackage args. Instead, we copy
# the upstream source and patch the one file.
final: _prev:
let
upstreamSrc = final.path + "/pkgs/by-name/ap/apple-sdk";
patchedSrc = final.runCommandLocal "apple-sdk-src-patched" { } ''
cp -r ${upstreamSrc} $out
chmod -R u+w $out
cp ${./apple-sdk/metadata/versions.json} $out/metadata/versions.json
'';
in
{
apple-sdk_26 = final.callPackage (patchedSrc + "/package.nix") {
darwinSdkMajorVersion = "26";
};
}
+26
View File
@@ -0,0 +1,26 @@
{
"14": {
"urls": [
"https://swcdn.apple.com/content/downloads/14/48/052-59890-A_I0F5YGAY0Y/p9n40hio7892gou31o1v031ng6fnm9sb3c/CLTools_macOSNMOS_SDK.pkg",
"https://web.archive.org/web/20250211001355/https://swcdn.apple.com/content/downloads/14/48/052-59890-A_I0F5YGAY0Y/p9n40hio7892gou31o1v031ng6fnm9sb3c/CLTools_macOSNMOS_SDK.pkg"
],
"version": "14.4",
"hash": "sha256-QozDiwY0Czc0g45vPD7G4v4Ra+3DujCJbSads3fJjjM="
},
"15": {
"urls": [
"https://swcdn.apple.com/content/downloads/52/01/082-41241-A_0747ZN8FHV/dectd075r63pppkkzsb75qk61s0lfee22j/CLTools_macOSNMOS_SDK.pkg",
"https://web.archive.org/web/20250530132510/https://swcdn.apple.com/content/downloads/52/01/082-41241-A_0747ZN8FHV/dectd075r63pppkkzsb75qk61s0lfee22j/CLTools_macOSNMOS_SDK.pkg"
],
"version": "15.5",
"hash": "sha256-HBiSJuw1XBUK5R/8Sj65c3rftSEvQl/O9ZZVp/g1Amo="
},
"26": {
"urls": [
"https://swcdn.apple.com/content/downloads/60/22/089-71960-A_W8BL1RUJJ6/5zkyplomhk1cm7z6xja2ktgapnhhti6wwd/CLTools_macOSNMOS_SDK.pkg",
"https://web.archive.org/web/20250915230423/https://swcdn.apple.com/content/downloads/60/22/089-71960-A_W8BL1RUJJ6/5zkyplomhk1cm7z6xja2ktgapnhhti6wwd/CLTools_macOSNMOS_SDK.pkg"
],
"version": "26.2",
"hash": "sha256-hXRlMieVv0smna5uiWRwq87IWOaPWtAjAldbi+wQXcw="
}
}
+3 -2
View File
@@ -41,7 +41,7 @@ let
mlx = stdenv.mkDerivation rec {
pname = "mlx";
version = let v = "0.30.4"; in
version = let v = "0.30.6"; in
assert v == uvLockMlxVersion || throw "MLX version mismatch: nix/mlx.nix has ${v} but uv.lock has ${uvLockMlxVersion}. Update both the version and hash in nix/mlx.nix.";
v;
pyproject = true;
@@ -50,7 +50,7 @@ let
owner = "ml-explore";
repo = "mlx";
tag = "v${version}";
hash = "sha256-OJk6jPlbaSlsUdk3ADz3tWcRzTWXRof3/q8Soe1AO6w=";
hash = "sha256-avD5EGhwgmPdXLAyQSqTO6AXk/W3ziH+f6AetjK3Sdo=";
};
patches = [
@@ -85,6 +85,7 @@ let
(lib.cmakeOptionType "filepath" "FETCHCONTENT_SOURCE_DIR_JSON" "${nlohmann_json.src}")
(lib.cmakeOptionType "filepath" "FETCHCONTENT_SOURCE_DIR_NANOBIND" "${nanobind}")
(lib.cmakeBool "FETCHCONTENT_FULLY_DISCONNECTED" true)
(lib.cmakeBool "MLX_BUILD_CPU" true)
(lib.cmakeBool "MLX_BUILD_METAL" true)
(lib.cmakeOptionType "filepath" "FETCHCONTENT_SOURCE_DIR_METAL_CPP" "${metal_cpp}")
(lib.cmakeOptionType "string" "CMAKE_OSX_DEPLOYMENT_TARGET" "${apple-sdk_26.version}")
+5
View File
@@ -10,6 +10,7 @@ PROJECT_ROOT = Path.cwd()
SOURCE_ROOT = PROJECT_ROOT / "src"
ENTRYPOINT = SOURCE_ROOT / "exo" / "__main__.py"
DASHBOARD_DIR = PROJECT_ROOT / "dashboard" / "build"
RESOURCES_DIR = PROJECT_ROOT / "resources"
EXO_SHARED_MODELS_DIR = SOURCE_ROOT / "exo" / "shared" / "models"
if not ENTRYPOINT.is_file():
@@ -18,6 +19,9 @@ if not ENTRYPOINT.is_file():
if not DASHBOARD_DIR.is_dir():
raise SystemExit(f"Dashboard assets are missing: {DASHBOARD_DIR}")
if not RESOURCES_DIR.is_dir():
raise SystemExit(f"Resource assets are missing: {RESOURCES_DIR}")
if not EXO_SHARED_MODELS_DIR.is_dir():
raise SystemExit(f"Shared model assets are missing: {EXO_SHARED_MODELS_DIR}")
@@ -58,6 +62,7 @@ HIDDEN_IMPORTS = sorted(
DATAS: list[tuple[str, str]] = [
(str(DASHBOARD_DIR), "dashboard"),
(str(RESOURCES_DIR), "resources"),
(str(MLX_LIB_DIR), "mlx/lib"),
(str(EXO_SHARED_MODELS_DIR), "exo/shared/models"),
]
+9 -7
View File
@@ -17,22 +17,22 @@ dependencies = [
"loguru>=0.7.3",
"exo_pyo3_bindings", # rust bindings
"anyio==4.11.0",
"mlx==0.30.4; sys_platform == 'darwin'",
"mlx[cpu]==0.30.4; sys_platform == 'linux'",
"mlx-lm",
"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==0.15.4",
"mflux==0.15.5",
"python-multipart>=0.0.21",
"msgspec>=0.19.0",
"zstandard>=0.23.0",
]
[project.scripts]
exo-master = "exo.master.main:main"
exo-worker = "exo.worker.main:main"
exo = "exo.main:main"
# dependencies only required for development
@@ -59,11 +59,12 @@ dev = [
[tool.uv.workspace]
members = [
"rust/exo_pyo3_bindings",
"bench",
]
[tool.uv.sources]
exo_pyo3_bindings = { workspace = true }
mlx-lm = { git = "https://github.com/ml-explore/mlx-lm", branch = "main" }
#mlx-lm = { git = "https://github.com/davidmcc73/mlx-lm", branch = "stable" }
# 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 }
@@ -105,6 +106,7 @@ root = "src"
# supported platforms for this project
[tool.uv]
required-version = ">=0.8.6"
prerelease = "allow"
environments = [
"sys_platform == 'darwin'",
+83 -15
View File
@@ -14,7 +14,9 @@
# Override overlay to inject Nix-built components
exoOverlay = final: prev: {
# Replace workspace exo_pyo3_bindings with Nix-built wheel
# Replace workspace exo_pyo3_bindings with Nix-built wheel.
# Preserve passthru so mkVirtualEnv can resolve dependency groups.
# Copy .pyi stub + py.typed marker so basedpyright can find the types.
exo-pyo3-bindings = pkgs.stdenv.mkDerivation {
pname = "exo-pyo3-bindings";
version = "0.1.0";
@@ -22,6 +24,12 @@
# Install from pre-built wheel
nativeBuildInputs = [ final.pyprojectWheelHook ];
dontStrip = true;
passthru = prev.exo-pyo3-bindings.passthru or { };
postInstall = ''
local siteDir=$out/${final.python.sitePackages}/exo_pyo3_bindings
cp ${inputs.self}/rust/exo_pyo3_bindings/exo_pyo3_bindings.pyi $siteDir/
touch $siteDir/py.typed
'';
};
};
@@ -29,17 +37,32 @@
# Overlay to provide build systems and custom packages
buildSystemsOverlay = final: prev: {
# Use our pure Nix-built MLX with Metal support
mlx = self'.packages.mlx;
# mlx-lm is a git dependency that needs setuptools
mlx-lm = prev.mlx-lm.overrideAttrs (old: {
nativeBuildInputs = (old.nativeBuildInputs or [ ]) ++ [
final.setuptools
];
});
} // lib.optionalAttrs pkgs.stdenv.hostPlatform.isDarwin {
# Use our pure Nix-built MLX with Metal support (macOS only)
mlx = self'.packages.mlx;
};
# Additional overlay for Linux-specific fixes (type checking env).
# Native wheels have shared lib dependencies we don't need at type-check time.
linuxOverlay = final: prev:
let
ignoreMissing = drv: drv.overrideAttrs { autoPatchelfIgnoreMissingDeps = [ "*" ]; };
nvidiaPackages = lib.filterAttrs (name: _: lib.hasPrefix "nvidia-" name) prev;
in
lib.optionalAttrs pkgs.stdenv.hostPlatform.isLinux (
(lib.mapAttrs (_: ignoreMissing) nvidiaPackages) // {
mlx = ignoreMissing prev.mlx;
torch = ignoreMissing prev.torch;
triton = ignoreMissing prev.triton;
}
);
pythonSet = (pkgs.callPackage inputs.pyproject-nix.build.packages {
inherit python;
}).overrideScope (
@@ -48,6 +71,7 @@
overlay
exoOverlay
buildSystemsOverlay
linuxOverlay
]
);
exoVenv = pythonSet.mkVirtualEnv "exo-env" workspace.deps.default;
@@ -59,6 +83,32 @@
}
);
mkPythonScript = name: path: pkgs.writeShellApplication {
inherit name;
runtimeInputs = [ exoVenv ];
runtimeEnv = {
EXO_DASHBOARD_DIR = self'.packages.dashboard;
EXO_RESOURCES_DIR = inputs.self + /resources;
};
text = ''exec python ${path} "$@"'';
};
benchVenv = pythonSet.mkVirtualEnv "exo-bench-env" {
exo-bench = [ ];
};
mkBenchScript = name: path: pkgs.writeShellApplication {
inherit name;
runtimeInputs = [ benchVenv ];
text = ''exec python ${path} "$@"'';
};
mkSimplePythonScript = name: path: pkgs.writeShellApplication {
inherit name;
runtimeInputs = [ pkgs.python313 ];
text = ''exec python ${path} "$@"'';
};
exoPackage = pkgs.runCommand "exo"
{
nativeBuildInputs = [ pkgs.makeWrapper ];
@@ -66,29 +116,47 @@
''
mkdir -p $out/bin
# Create wrapper scripts
for script in exo exo-master exo-worker; do
makeWrapper ${exoVenv}/bin/$script $out/bin/$script \
--set DASHBOARD_DIR ${self'.packages.dashboard} \
${lib.optionalString pkgs.stdenv.isDarwin "--prefix PATH : ${pkgs.macmon}/bin"}
done
# Create wrapper script
makeWrapper ${exoVenv}/bin/exo $out/bin/exo \
--set EXO_DASHBOARD_DIR ${self'.packages.dashboard} \
--set EXO_RESOURCES_DIR ${inputs.self + /resources} \
${lib.optionalString pkgs.stdenv.hostPlatform.isDarwin "--prefix PATH : ${pkgs.macmon}/bin"}
'';
in
{
# Python package only available on macOS (requires MLX/Metal)
packages = lib.optionalAttrs pkgs.stdenv.hostPlatform.isDarwin {
exo = exoPackage;
# Test environment for running pytest outside of Nix sandbox (needs GPU access)
exo-test-env = testVenv;
packages = lib.optionalAttrs pkgs.stdenv.hostPlatform.isDarwin
{
exo = exoPackage;
# Test environment for running pytest outside of Nix sandbox (needs GPU access)
exo-test-env = testVenv;
} // {
exo-bench = mkBenchScript "exo-bench" (inputs.self + /bench/exo_bench.py);
exo-get-all-models-on-cluster = mkSimplePythonScript "exo-get-all-models-on-cluster" (inputs.self + /tests/get_all_models_on_cluster.py);
};
checks = {
# Ruff linting (works on all platforms)
lint = pkgs.runCommand "ruff-lint" { } ''
export RUFF_CACHE_DIR="$TMPDIR/ruff-cache"
${pkgs.ruff}/bin/ruff check ${inputs.self}/
${pkgs.ruff}/bin/ruff check ${inputs.self}
touch $out
'';
# Hermetic basedpyright type checking
typecheck = pkgs.runCommand "typecheck"
{
nativeBuildInputs = [
testVenv
pkgs.basedpyright
];
}
''
cd ${inputs.self}
export HOME=$TMPDIR
basedpyright --pythonpath ${testVenv}/bin/python
touch $out
'';
};
};
}
@@ -0,0 +1,49 @@
model_id = "exolabs/FLUX.1-Kontext-dev-4bit"
n_layers = 57
hidden_size = 1
supports_tensor = false
tasks = ["ImageToImage"]
family = "flux"
quantization = "4bit"
base_model = "FLUX.1 Kontext"
capabilities = ["image_edit"]
[storage_size]
in_bytes = 15475325472
[[components]]
component_name = "text_encoder"
component_path = "text_encoder/"
n_layers = 12
can_shard = false
[components.storage_size]
in_bytes = 0
[[components]]
component_name = "text_encoder_2"
component_path = "text_encoder_2/"
n_layers = 24
can_shard = false
safetensors_index_filename = "model.safetensors.index.json"
[components.storage_size]
in_bytes = 9524621312
[[components]]
component_name = "transformer"
component_path = "transformer/"
n_layers = 57
can_shard = true
safetensors_index_filename = "diffusion_pytorch_model.safetensors.index.json"
[components.storage_size]
in_bytes = 5950704160
[[components]]
component_name = "vae"
component_path = "vae/"
can_shard = false
[components.storage_size]
in_bytes = 0
@@ -0,0 +1,49 @@
model_id = "exolabs/FLUX.1-Kontext-dev-8bit"
n_layers = 57
hidden_size = 1
supports_tensor = false
tasks = ["ImageToImage"]
family = "flux"
quantization = "8bit"
base_model = "FLUX.1 Kontext"
capabilities = ["image_edit"]
[storage_size]
in_bytes = 21426029632
[[components]]
component_name = "text_encoder"
component_path = "text_encoder/"
n_layers = 12
can_shard = false
[components.storage_size]
in_bytes = 0
[[components]]
component_name = "text_encoder_2"
component_path = "text_encoder_2/"
n_layers = 24
can_shard = false
safetensors_index_filename = "model.safetensors.index.json"
[components.storage_size]
in_bytes = 9524621312
[[components]]
component_name = "transformer"
component_path = "transformer/"
n_layers = 57
can_shard = true
safetensors_index_filename = "diffusion_pytorch_model.safetensors.index.json"
[components.storage_size]
in_bytes = 11901408320
[[components]]
component_name = "vae"
component_path = "vae/"
can_shard = false
[components.storage_size]
in_bytes = 0
@@ -0,0 +1,49 @@
model_id = "exolabs/FLUX.1-Kontext-dev"
n_layers = 57
hidden_size = 1
supports_tensor = false
tasks = ["ImageToImage"]
family = "flux"
quantization = ""
base_model = "FLUX.1 Kontext"
capabilities = ["image_edit"]
[storage_size]
in_bytes = 33327437952
[[components]]
component_name = "text_encoder"
component_path = "text_encoder/"
n_layers = 12
can_shard = false
[components.storage_size]
in_bytes = 0
[[components]]
component_name = "text_encoder_2"
component_path = "text_encoder_2/"
n_layers = 24
can_shard = false
safetensors_index_filename = "model.safetensors.index.json"
[components.storage_size]
in_bytes = 9524621312
[[components]]
component_name = "transformer"
component_path = "transformer/"
n_layers = 57
can_shard = true
safetensors_index_filename = "diffusion_pytorch_model.safetensors.index.json"
[components.storage_size]
in_bytes = 23802816640
[[components]]
component_name = "vae"
component_path = "vae/"
can_shard = false
[components.storage_size]
in_bytes = 0
@@ -0,0 +1,49 @@
model_id = "exolabs/FLUX.1-Krea-dev-4bit"
n_layers = 57
hidden_size = 1
supports_tensor = false
tasks = ["TextToImage"]
family = "flux"
quantization = "4bit"
base_model = "FLUX.1 Krea"
capabilities = ["image_gen"]
[storage_size]
in_bytes = 15475325472
[[components]]
component_name = "text_encoder"
component_path = "text_encoder/"
n_layers = 12
can_shard = false
[components.storage_size]
in_bytes = 0
[[components]]
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model_id = "exolabs/FLUX.1-schnell-4bit"
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model_id = "exolabs/FLUX.1-schnell-8bit"
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model_id = "exolabs/FLUX.1-schnell"
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model_id = "exolabs/Qwen-Image-4bit"
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model_id = "exolabs/Qwen-Image-8bit"
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model_id = "exolabs/Qwen-Image-Edit-2509-4bit"
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model_id = "exolabs/Qwen-Image-Edit-2509-8bit"
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model_id = "exolabs/Qwen-Image-Edit-2509"
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model_id = "exolabs/Qwen-Image"
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