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33 Commits

Author SHA1 Message Date
Evan
0e5b2b215a simplify ident module 2026-02-18 22:05:54 +00:00
Evan
f8480991a9 remove nightly 2026-02-18 22:05:54 +00:00
rltakashige
24e99ce197 Cleanup mistakes (#1537)
Oops
2026-02-18 22:05:26 +00:00
Alex Cheema
315992549b fix: unblock MpReceiver.close() to prevent shutdown hang (#1511)
## Summary

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

## Test plan

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

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

---------

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

Closes #1480

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

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

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

GPT OSS tool calling issues.

## Changes

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

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

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

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

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

Closes #1510

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

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

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

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

## Changes

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

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

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

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

## Why It Works

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

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

## Test Plan

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

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

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

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

## Changes

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

## Why It Works

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

## Test Plan

### Manual Testing

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

Add GLM 5 support in favor of #1513 

## Changes

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

## Why It Works

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

## Test Plan

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

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

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

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

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

---------

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

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

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

## Test plan

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

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

---------

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

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

## Changes

Updated in my own personal fork.

## Why It Works

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

## Test Plan

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


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

---------

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

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

## Changes

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

### Recent improvements

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

## Why It Works

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

## Test Plan

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

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

---------

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

Fixes #1370

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

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

## Changes

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

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

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

## Why It Works

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

## Test Plan

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

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

---------

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

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

## Changes

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

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

### Backend: model directory in download events

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

### Info modal

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

### Other fixes

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

## Test Plan

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

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

---------

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

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

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

closes #61

---------

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

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

Test plan:
- CI

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

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

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

## Changes

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

## Why It Works

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

## Test Plan

### Manual Testing

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

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

## Changes

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

## Why It Works

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


## Test Plan

### Manual Testing

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

Exo is not returning usage stats correctly at the moment.

## Changes

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

## Test Plan

### Manual Testing
Needs manual testing.

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

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

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

Test plan:
- CI (`nix flake check` runs on x86_64-linux, aarch64-linux, aarch64-darwin)
- Verified `nix build ".#checks.x86_64-linux.typecheck"` passes with 0 errors
2026-02-16 11:09:23 +00:00
114 changed files with 4318 additions and 2580 deletions

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 }}

View File

@@ -200,7 +200,7 @@ class Module(dict):
) -> mx.MX_ARRAY_TREE: # -> dict[Any, Any | dict[Any, Any | dict[Any, Any] | list[Any]] | dict[Any, Any] | list[Any]]:
"""Return the submodules that do not contain other modules."""
def update(self, parameters: dict, strict: bool = ...) -> Module:
def update(self, parameters: dict[str, Any], strict: bool = ...) -> Module:
"""Replace the parameters of this Module with the provided ones in the
dict of dicts and lists.

View File

@@ -7,7 +7,10 @@ from typing import Any, Callable, Dict, List, Optional, Tuple, Union
from mlx.core import MX_ARRAY_TREE
def tree_map(
fn: Callable, tree: Any, *rest: Any, is_leaf: Optional[Callable] = ...
fn: Callable[..., Any],
tree: Any,
*rest: Any,
is_leaf: Callable[..., bool] | None = ...,
) -> Any:
"""Applies ``fn`` to the leaves of the Python tree ``tree`` and
returns a new collection with the results.
@@ -44,11 +47,11 @@ def tree_map(
"""
def tree_map_with_path(
fn: Callable,
fn: Callable[..., Any],
tree: Any,
*rest: Any,
is_leaf: Optional[Callable] = ...,
path: Optional[Any] = ...,
is_leaf: Callable[..., bool] | None = ...,
path: str | None = ...,
) -> Any:
"""Applies ``fn`` to the path and leaves of the Python tree ``tree`` and
returns a new collection with the results.
@@ -80,9 +83,9 @@ def tree_map_with_path(
def tree_flatten(
tree: Any,
prefix: str = ...,
is_leaf: Optional[Callable] = ...,
destination: Optional[Union[List[Tuple[str, Any]], Dict[str, Any]]] = ...,
) -> Union[List[Tuple[str, Any]], Dict[str, Any]]:
is_leaf: Callable[..., bool] | None = ...,
destination: list[tuple[str, Any]] | dict[str, Any] | None = ...,
) -> list[tuple[str, Any]] | dict[str, Any]:
"""Flattens a Python tree to a list of key, value tuples.
The keys are using the dot notation to define trees of arbitrary depth and
@@ -118,7 +121,7 @@ def tree_flatten(
the Python tree.
"""
def tree_unflatten(tree: Union[List[Tuple[str, Any]], Dict[str, Any]]) -> Any:
def tree_unflatten(tree: list[tuple[str, Any]] | dict[str, Any]) -> Any:
"""Recreate a Python tree from its flat representation.
.. code-block:: python

View File

@@ -0,0 +1,46 @@
"""Type stubs for mlx_lm.models.glm_moe_dsa"""
from dataclasses import dataclass
from typing import Any, Dict, Optional
from .base import BaseModelArgs
from .deepseek_v32 import Model as DSV32Model
@dataclass
class ModelArgs(BaseModelArgs):
model_type: str
vocab_size: int
hidden_size: int
index_head_dim: int
index_n_heads: int
index_topk: int
intermediate_size: int
moe_intermediate_size: int
num_hidden_layers: int
num_attention_heads: int
num_key_value_heads: int
n_shared_experts: Optional[int]
n_routed_experts: Optional[int]
routed_scaling_factor: float
kv_lora_rank: int
q_lora_rank: int
qk_rope_head_dim: int
v_head_dim: int
qk_nope_head_dim: int
topk_method: str
scoring_func: str
norm_topk_prob: bool
n_group: int
topk_group: int
num_experts_per_tok: int
moe_layer_freq: int
first_k_dense_replace: int
max_position_embeddings: int
rms_norm_eps: float
rope_parameters: Dict[str, Any]
attention_bias: bool
rope_scaling: Dict[str, Any] | None
rope_theta: float | None
class Model(DSV32Model):
def __init__(self, config: ModelArgs) -> None: ...

136
Cargo.lock generated
View File

@@ -141,12 +141,6 @@ version = "0.3.9"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "76a2e8124351fda1ef8aaaa3bbd7ebbcb486bbcd4225aca0aa0d84bb2db8fecb"
[[package]]
name = "arrayvec"
version = "0.7.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7c02d123df017efcdfbd739ef81735b36c5ba83ec3c59c80a9d7ecc718f92e50"
[[package]]
name = "asn1-rs"
version = "0.7.1"
@@ -304,19 +298,6 @@ version = "1.8.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "55248b47b0caf0546f7988906588779981c43bb1bc9d0c44087278f80cdb44ba"
[[package]]
name = "bigdecimal"
version = "0.4.9"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "560f42649de9fa436b73517378a147ec21f6c997a546581df4b4b31677828934"
dependencies = [
"autocfg",
"libm",
"num-bigint",
"num-integer",
"num-traits",
]
[[package]]
name = "bimap"
version = "0.6.3"
@@ -516,15 +497,6 @@ version = "0.4.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "2f421161cb492475f1661ddc9815a745a1c894592070661180fdec3d4872e9c3"
[[package]]
name = "convert_case"
version = "0.10.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "633458d4ef8c78b72454de2d54fd6ab2e60f9e02be22f3c6104cdc8a4e0fceb9"
dependencies = [
"unicode-segmentation",
]
[[package]]
name = "core-foundation"
version = "0.9.4"
@@ -746,29 +718,6 @@ dependencies = [
"powerfmt",
]
[[package]]
name = "derive_more"
version = "2.1.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "10b768e943bed7bf2cab53df09f4bc34bfd217cdb57d971e769874c9a6710618"
dependencies = [
"derive_more-impl",
]
[[package]]
name = "derive_more-impl"
version = "2.1.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "6d286bfdaf75e988b4a78e013ecd79c581e06399ab53fbacd2d916c2f904f30b"
dependencies = [
"convert_case",
"proc-macro2",
"quote",
"rustc_version",
"syn 2.0.111",
"unicode-xid",
]
[[package]]
name = "digest"
version = "0.10.7"
@@ -939,22 +888,17 @@ name = "exo_pyo3_bindings"
version = "0.0.1"
dependencies = [
"delegate",
"derive_more",
"env_logger",
"extend",
"futures",
"impl-trait-for-tuples",
"futures-lite",
"libp2p",
"log",
"networking",
"once_cell",
"pin-project",
"pyo3",
"pyo3-async-runtimes",
"pyo3-log",
"pyo3-stub-gen",
"thiserror 2.0.17",
"thread_local",
"tokio",
"util",
]
@@ -970,6 +914,12 @@ dependencies = [
"syn 2.0.111",
]
[[package]]
name = "fastrand"
version = "2.3.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "37909eebbb50d72f9059c3b6d82c0463f2ff062c9e95845c43a6c9c0355411be"
[[package]]
name = "ff"
version = "0.13.1"
@@ -1078,7 +1028,10 @@ version = "2.6.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f78e10609fe0e0b3f4157ffab1876319b5b0db102a2c60dc4626306dc46b44ad"
dependencies = [
"fastrand",
"futures-core",
"futures-io",
"parking",
"pin-project-lite",
]
@@ -1640,17 +1593,6 @@ dependencies = [
"xmltree",
]
[[package]]
name = "impl-trait-for-tuples"
version = "0.2.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "a0eb5a3343abf848c0984fe4604b2b105da9539376e24fc0a3b0007411ae4fd9"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.111",
]
[[package]]
name = "indexmap"
version = "2.12.1"
@@ -1829,12 +1771,6 @@ version = "0.2.178"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "37c93d8daa9d8a012fd8ab92f088405fb202ea0b6ab73ee2482ae66af4f42091"
[[package]]
name = "libm"
version = "0.2.15"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f9fbbcab51052fe104eb5e5d351cf728d30a5be1fe14d9be8a3b097481fb97de"
[[package]]
name = "libp2p"
version = "0.56.0"
@@ -2824,16 +2760,13 @@ name = "networking"
version = "0.0.1"
dependencies = [
"delegate",
"derive_more",
"either",
"extend",
"futures",
"futures-lite",
"futures-timer",
"impl-trait-for-tuples",
"keccak-const",
"libp2p",
"log",
"thiserror 2.0.17",
"tokio",
"tracing-subscriber",
"util",
@@ -2918,17 +2851,6 @@ dependencies = [
"num-traits",
]
[[package]]
name = "num-rational"
version = "0.4.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f83d14da390562dca69fc84082e73e548e1ad308d24accdedd2720017cb37824"
dependencies = [
"num-bigint",
"num-integer",
"num-traits",
]
[[package]]
name = "num-traits"
version = "0.2.19"
@@ -3279,28 +3201,14 @@ version = "0.27.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ab53c047fcd1a1d2a8820fe84f05d6be69e9526be40cb03b73f86b6b03e6d87d"
dependencies = [
"bigdecimal",
"either",
"hashbrown 0.16.1",
"indexmap",
"indoc",
"inventory",
"libc",
"lock_api",
"memoffset",
"num-bigint",
"num-complex",
"num-rational",
"num-traits",
"once_cell",
"ordered-float",
"parking_lot",
"portable-atomic",
"pyo3-build-config",
"pyo3-ffi",
"pyo3-macros",
"rust_decimal",
"smallvec",
"unindent",
]
@@ -3741,16 +3649,6 @@ dependencies = [
"tokio",
]
[[package]]
name = "rust_decimal"
version = "1.39.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "35affe401787a9bd846712274d97654355d21b2a2c092a3139aabe31e9022282"
dependencies = [
"arrayvec",
"num-traits",
]
[[package]]
name = "rustc-hash"
version = "1.1.0"
@@ -4615,24 +4513,12 @@ version = "1.0.22"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "9312f7c4f6ff9069b165498234ce8be658059c6728633667c526e27dc2cf1df5"
[[package]]
name = "unicode-segmentation"
version = "1.12.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f6ccf251212114b54433ec949fd6a7841275f9ada20dddd2f29e9ceea4501493"
[[package]]
name = "unicode-width"
version = "0.2.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b4ac048d71ede7ee76d585517add45da530660ef4390e49b098733c6e897f254"
[[package]]
name = "unicode-xid"
version = "0.2.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ebc1c04c71510c7f702b52b7c350734c9ff1295c464a03335b00bb84fc54f853"
[[package]]
name = "unicode_names2"
version = "1.3.0"

View File

@@ -26,49 +26,20 @@ opt-level = 3
networking = { path = "rust/networking" }
util = { path = "rust/util" }
# Proc-macro authoring tools
syn = "2.0"
quote = "1.0"
proc-macro2 = "1.0"
darling = "0.20"
# Macro dependecies
extend = "1.2"
delegate = "0.13"
impl-trait-for-tuples = "0.2"
clap = "4.5"
derive_more = { version = "2.0.1", features = ["display"] }
pin-project = "1"
# Utility dependencies
itertools = "0.14"
thiserror = "2"
internment = "0.8"
recursion = "0.5"
regex = "1.11"
once_cell = "1.21"
thread_local = "1.1"
bon = "3.4"
generativity = "1.1"
anyhow = "1.0"
keccak-const = "0.2"
# Functional generics/lenses frameworks
frunk_core = "0.4"
frunk = "0.4"
frunk_utils = "0.2"
frunk-enum-core = "0.3"
# Async dependencies
tokio = "1.46"
futures = "0.3"
futures-util = "0.3"
futures-lite = "2.6.1"
futures-timer = "3.0"
# Data structures
either = "1.15"
ordered-float = "5.0"
ahash = "0.8"
# Tracing/logging
log = "0.4"

View File

@@ -72,16 +72,23 @@ There are two ways to run exo:
### Run from Source (macOS)
If you have [Nix](https://nixos.org/) installed, you can skip most of the steps below and run exo directly (after accepting the Cachix cache):
```bash
nix run .#exo
```
**Prerequisites:**
- [Xcode](https://developer.apple.com/xcode/) (provides the Metal ToolChain required for MLX compilation)
- [brew](https://github.com/Homebrew/brew) (for simple package management on macOS)
```bash
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
```
- [uv](https://github.com/astral-sh/uv) (for Python dependency management)
- [macmon](https://github.com/vladkens/macmon) (for hardware monitoring on Apple Silicon)
- [node](https://github.com/nodejs/node) (for building the dashboard)
```bash
brew install uv macmon node
```

View File

@@ -126,11 +126,37 @@ final class ExoProcessController: ObservableObject {
return
}
process.terminationHandler = nil
if process.isRunning {
process.terminate()
}
self.process = nil
status = .stopped
guard process.isRunning else {
self.process = nil
return
}
let proc = process
self.process = nil
Task.detached {
proc.interrupt()
for _ in 0..<50 {
if !proc.isRunning { return }
try? await Task.sleep(nanoseconds: 100_000_000)
}
if proc.isRunning {
proc.terminate()
}
for _ in 0..<30 {
if !proc.isRunning { return }
try? await Task.sleep(nanoseconds: 100_000_000)
}
if proc.isRunning {
kill(proc.processIdentifier, SIGKILL)
}
}
}
func restart() {

7
bench/bench.toml Normal file
View File

@@ -0,0 +1,7 @@
# Canary benchmark manifest
#
# Lists the suite files to include. Each file defines benchmarks
# with shared constraints, topology, and default args.
include = [
"single-m3-ultra.toml",
]

1046
bench/eval_tool_calls.py Normal file
View File

File diff suppressed because it is too large Load Diff

View File

@@ -1,29 +1,47 @@
# type: ignore
#!/usr/bin/env python3
# pyright: reportAny=false, reportUnknownMemberType=false, reportUnknownVariableType=false, reportUnknownArgumentType=false
"""Tool-calling eval for exo's OpenAI-compatible API.
Tests whether models correctly:
- Trigger tool calls when appropriate
- Return valid JSON arguments matching function schemas
- Handle multi-turn tool use (call -> result -> final answer)
- Avoid calling tools when unnecessary
Start exo with a model first, then run:
uv run python tool_call_eval.py --model <model-id>
uv run python tool_call_eval.py --model <model-id> --host 10.0.0.5 --port 52415
uv run python tool_call_eval.py --model <model-id> --repeat 3
uv run python tool_call_eval.py --model <model-id> --scenarios weather_simple calculator_multi_turn
"""
from __future__ import annotations
import argparse
import contextlib
import http.client
import itertools
import json
import os
import sys
import time
from collections.abc import Callable
from pathlib import Path
from statistics import mean
from typing import Any
from urllib.parse import urlencode
from harness import (
ExoClient,
ExoHttpError,
add_common_instance_args,
instance_id_from_instance,
nodes_used_in_instance,
resolve_model_short_id,
settle_and_fetch_placements,
wait_for_instance_gone,
wait_for_instance_ready,
)
from loguru import logger
from transformers import AutoTokenizer
# Backoff constants for cluster settling retry
_SETTLE_INITIAL_BACKOFF_S = 1.0
_SETTLE_MAX_BACKOFF_S = 60.0
_SETTLE_BACKOFF_MULTIPLIER = 2.0
# Monkey-patch for transformers 5.x compatibility
# Kimi's tokenization_kimi.py imports bytes_to_unicode from the old location
# which was moved in transformers 5.0.0rc2
@@ -103,154 +121,6 @@ def load_tokenizer_for_bench(model_id: str) -> Any:
return AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
class ExoHttpError(RuntimeError):
def __init__(self, status: int, reason: str, body_preview: str):
super().__init__(f"HTTP {status} {reason}: {body_preview}")
self.status = status
class ExoClient:
def __init__(self, host: str, port: int, timeout_s: float = 7200.0):
self.host = host
self.port = port
self.timeout_s = timeout_s
def request_json(
self,
method: str,
path: str,
params: dict[str, Any] | None = None,
body: dict[str, Any] | None = None,
headers: dict[str, str] | None = None,
) -> Any:
if not path.startswith("/"):
path = "/" + path
if params:
path = path + "?" + urlencode(params)
conn = http.client.HTTPConnection(self.host, self.port, timeout=self.timeout_s)
try:
payload: bytes | None = None
hdrs: dict[str, str] = {"Accept": "application/json"}
if body is not None:
payload = json.dumps(body).encode("utf-8")
hdrs["Content-Type"] = "application/json"
if headers:
hdrs.update(headers)
conn.request(method.upper(), path, body=payload, headers=hdrs)
resp = conn.getresponse()
raw = resp.read()
text = raw.decode("utf-8", errors="replace") if raw else ""
if resp.status >= 400:
raise ExoHttpError(resp.status, resp.reason, text[:300])
if not text:
return None
return json.loads(text)
finally:
conn.close()
def post_bench_chat_completions(self, payload: dict[str, Any]) -> dict[str, Any]:
return self.request_json("POST", "/bench/chat/completions", body=payload)
def unwrap_instance(instance: dict[str, Any]) -> dict[str, Any]:
if len(instance) != 1:
raise KeyError(f"Expected 1 key, got keys={list(instance.keys())}")
tag = next(iter(instance))
inner = instance[tag]
if not isinstance(inner, dict):
raise TypeError(f"payload for {tag} must be dict, got {type(inner)}")
return inner
def instance_id_from_instance(instance: dict[str, Any]) -> str:
inner = unwrap_instance(instance)
return str(inner["instanceId"])
def nodes_used_in_instance(instance: dict[str, Any]) -> int:
inner = unwrap_instance(instance)
return len(inner["shardAssignments"]["nodeToRunner"])
def runner_ids_from_instance(instance: dict[str, Any]) -> list[str]:
inner = unwrap_instance(instance)
runner_to_shard = inner["shardAssignments"]["runnerToShard"]
return list(runner_to_shard.keys())
def runner_ready(runner: dict[str, Any]) -> bool:
return "RunnerReady" in runner
def runner_failed(runner: dict[str, Any]) -> bool:
return "RunnerFailed" in runner
def get_runner_failed_message(runner: dict[str, Any]) -> str | None:
if "RunnerFailed" in runner:
return runner["RunnerFailed"].get("errorMessage")
return None
def wait_for_instance_ready(
client: ExoClient, instance_id: str, timeout: float = 24000.0
) -> None:
start_time = time.time()
instance_existed = False
while time.time() - start_time < timeout:
state = client.request_json("GET", "/state")
instances = state.get("instances", {})
if instance_id not in instances:
if instance_existed:
# Instance was deleted after being created - likely due to runner failure
raise RuntimeError(
f"Instance {instance_id} was deleted (runner may have failed)"
)
time.sleep(0.1)
continue
instance_existed = True
instance = instances[instance_id]
runner_ids = runner_ids_from_instance(instance)
runners = state.get("runners", {})
# Check for failed runners first
for rid in runner_ids:
runner = runners.get(rid, {})
if runner_failed(runner):
error_msg = get_runner_failed_message(runner) or "Unknown error"
raise RuntimeError(f"Runner {rid} failed: {error_msg}")
if all(runner_ready(runners.get(rid, {})) for rid in runner_ids):
return
time.sleep(0.1)
raise TimeoutError(f"Instance {instance_id} did not become ready within {timeout=}")
def wait_for_instance_gone(
client: ExoClient, instance_id: str, timeout: float = 3.0
) -> None:
start_time = time.time()
while time.time() - start_time < timeout:
try:
client.request_json("GET", f"/instance/{instance_id}")
time.sleep(0.4)
except ExoHttpError as e:
if e.status == 404:
return
raise TimeoutError(f"Instance {instance_id} did not get deleted within {timeout=}")
def format_peak_memory(b: float) -> str:
for unit in ["B", "KB", "MB", "GB", "TB"]:
if b < 1024.0:
@@ -269,39 +139,6 @@ def parse_int_list(values: list[str]) -> list[int]:
return items
def resolve_model_short_id(client: ExoClient, model_arg: str) -> tuple[str, str]:
models = client.request_json("GET", "/models") or {}
data = models.get("data") or []
for m in data:
if m.get("name").lower() == model_arg.lower():
short_id = str(m["name"])
full_id = str(m.get("hugging_face_id") or m["name"])
return short_id, full_id
for m in data:
if m.get("hugging_face_id") == model_arg:
short_id = str(m["name"])
full_id = str(m["hugging_face_id"])
return short_id, full_id
raise ValueError(f"Model not found in /models: {model_arg}")
def placement_filter(instance_meta: str, wanted: str) -> bool:
s = (instance_meta or "").lower()
if wanted == "both":
return ("ring" in s) or ("jaccl" in s)
return wanted in s
def sharding_filter(sharding: str, wanted: str) -> bool:
s = (sharding or "").lower()
if wanted == "both":
return ("pipeline" in s) or ("tensor" in s)
return wanted in s
def run_one_completion(
client: ExoClient, model_id: str, pp_hint: int, tg: int, prompt_sizer: PromptSizer
) -> tuple[dict[str, Any], int]:
@@ -393,76 +230,12 @@ class PromptSizer:
return content, tok
def fetch_and_filter_placements(
client: ExoClient, full_model_id: str, args: argparse.Namespace
) -> list[dict[str, Any]]:
previews_resp = client.request_json(
"GET", "/instance/previews", params={"model_id": full_model_id}
)
previews = previews_resp.get("previews") or []
selected: list[dict[str, Any]] = []
for p in previews:
if p.get("error") is not None:
continue
if not placement_filter(str(p.get("instance_meta", "")), args.instance_meta):
continue
if not sharding_filter(str(p.get("sharding", "")), args.sharding):
continue
instance = p.get("instance")
if not isinstance(instance, dict):
continue
n = nodes_used_in_instance(instance)
# Skip tensor ring single node as it is pointless when pipeline ring
if n == 1 and (
(args.sharding == "both" and "tensor" in p.get("sharding", "").lower())
or (
args.instance_meta == "both"
and "jaccl" in p.get("instance_meta", "").lower()
)
):
continue
if (
args.skip_pipeline_jaccl
and (
args.instance_meta == "both"
and "jaccl" in p.get("instance_meta", "").lower()
)
and (
args.sharding == "both" and "pipeline" in p.get("sharding", "").lower()
)
):
continue
if (
args.skip_tensor_ring
and (
args.instance_meta == "both"
and "ring" in p.get("instance_meta", "").lower()
)
and (args.sharding == "both" and "tensor" in p.get("sharding", "").lower())
):
continue
if args.min_nodes <= n <= args.max_nodes:
selected.append(p)
return selected
def main() -> int:
ap = argparse.ArgumentParser(
prog="exo-bench",
description="Benchmark exo model throughput across placement previews.",
)
ap.add_argument("--host", default=os.environ.get("EXO_HOST", "localhost"))
ap.add_argument(
"--port", type=int, default=int(os.environ.get("EXO_PORT", "52415"))
)
ap.add_argument("--model", required=True, help="Model short id or huggingface id")
add_common_instance_args(ap)
ap.add_argument(
"--pp",
nargs="+",
@@ -475,34 +248,6 @@ def main() -> int:
required=True,
help="Generation lengths (ints). Accepts commas.",
)
ap.add_argument(
"--max-nodes",
type=int,
default=4,
help="Only consider placements using <= this many nodes.",
)
ap.add_argument(
"--min-nodes",
type=int,
default=1,
help="Only consider placements using >= this many nodes.",
)
ap.add_argument(
"--instance-meta", choices=["ring", "jaccl", "both"], default="both"
)
ap.add_argument(
"--sharding", choices=["pipeline", "tensor", "both"], default="both"
)
ap.add_argument(
"--skip-pipeline-jaccl",
action="store_true",
help="Skip pipeline+jaccl placements, as it's often pointless.",
)
ap.add_argument(
"--skip-tensor-ring",
action="store_true",
help="Skip tensor+ring placements, as it's so slow.",
)
ap.add_argument(
"--repeat", type=int, default=1, help="Repetitions per (pp,tg) pair."
)
@@ -512,9 +257,6 @@ def main() -> int:
default=0,
help="Warmup runs per placement (uses first pp/tg).",
)
ap.add_argument(
"--timeout", type=float, default=7200.0, help="HTTP timeout (seconds)."
)
ap.add_argument(
"--json-out",
default="bench/results.json",
@@ -529,12 +271,6 @@ def main() -> int:
action="store_true",
help="Force all pp×tg combinations (cartesian product) even when lists have equal length.",
)
ap.add_argument(
"--settle-timeout",
type=float,
default=0,
help="Max seconds to wait for the cluster to produce valid placements (0 = try once).",
)
args = ap.parse_args()
pp_list = parse_int_list(args.pp)
@@ -569,20 +305,9 @@ def main() -> int:
logger.error("[exo-bench] tokenizer usable but prompt sizing failed")
raise
selected = fetch_and_filter_placements(client, full_model_id, args)
if not selected and args.settle_timeout > 0:
backoff = _SETTLE_INITIAL_BACKOFF_S
deadline = time.monotonic() + args.settle_timeout
while not selected and time.monotonic() < deadline:
remaining = deadline - time.monotonic()
logger.warning(
f"No valid placements yet (cluster may still be settling). "
f"Retrying in {backoff:.1f}s ({remaining:.0f}s remaining)..."
)
time.sleep(min(backoff, remaining))
backoff = min(backoff * _SETTLE_BACKOFF_MULTIPLIER, _SETTLE_MAX_BACKOFF_S)
selected = fetch_and_filter_placements(client, full_model_id, args)
selected = settle_and_fetch_placements(
client, full_model_id, args, settle_timeout=args.settle_timeout
)
if not selected:
logger.error("No valid placements matched your filters.")

327
bench/harness.py Normal file
View File

@@ -0,0 +1,327 @@
# type: ignore
from __future__ import annotations
import argparse
import http.client
import json
import os
import time
from typing import Any
from urllib.parse import urlencode
from loguru import logger
_SETTLE_INITIAL_BACKOFF_S = 1.0
_SETTLE_MAX_BACKOFF_S = 60.0
_SETTLE_BACKOFF_MULTIPLIER = 2.0
class ExoHttpError(RuntimeError):
def __init__(self, status: int, reason: str, body_preview: str):
super().__init__(f"HTTP {status} {reason}: {body_preview}")
self.status = status
class ExoClient:
def __init__(self, host: str, port: int, timeout_s: float = 7200.0):
self.host = host
self.port = port
self.timeout_s = timeout_s
def request_json(
self,
method: str,
path: str,
params: dict[str, Any] | None = None,
body: dict[str, Any] | None = None,
headers: dict[str, str] | None = None,
) -> Any:
if not path.startswith("/"):
path = "/" + path
if params:
path = path + "?" + urlencode(params)
conn = http.client.HTTPConnection(self.host, self.port, timeout=self.timeout_s)
try:
payload: bytes | None = None
hdrs: dict[str, str] = {"Accept": "application/json"}
if body is not None:
payload = json.dumps(body).encode("utf-8")
hdrs["Content-Type"] = "application/json"
if headers:
hdrs.update(headers)
conn.request(method.upper(), path, body=payload, headers=hdrs)
resp = conn.getresponse()
raw = resp.read()
text = raw.decode("utf-8", errors="replace") if raw else ""
if resp.status >= 400:
raise ExoHttpError(resp.status, resp.reason, text[:300])
if not text:
return None
return json.loads(text)
finally:
conn.close()
def post_bench_chat_completions(self, payload: dict[str, Any]) -> dict[str, Any]:
return self.request_json("POST", "/bench/chat/completions", body=payload)
def unwrap_instance(instance: dict[str, Any]) -> dict[str, Any]:
if len(instance) != 1:
raise KeyError(f"Expected 1 key, got keys={list(instance.keys())}")
tag = next(iter(instance))
inner = instance[tag]
if not isinstance(inner, dict):
raise TypeError(f"payload for {tag} must be dict, got {type(inner)}")
return inner
def instance_id_from_instance(instance: dict[str, Any]) -> str:
inner = unwrap_instance(instance)
return str(inner["instanceId"])
def nodes_used_in_instance(instance: dict[str, Any]) -> int:
inner = unwrap_instance(instance)
return len(inner["shardAssignments"]["nodeToRunner"])
def runner_ids_from_instance(instance: dict[str, Any]) -> list[str]:
inner = unwrap_instance(instance)
runner_to_shard = inner["shardAssignments"]["runnerToShard"]
return list(runner_to_shard.keys())
def runner_ready(runner: dict[str, Any]) -> bool:
return "RunnerReady" in runner
def runner_failed(runner: dict[str, Any]) -> bool:
return "RunnerFailed" in runner
def get_runner_failed_message(runner: dict[str, Any]) -> str | None:
if "RunnerFailed" in runner:
return runner["RunnerFailed"].get("errorMessage")
return None
def wait_for_instance_ready(
client: ExoClient, instance_id: str, timeout: float = 24000.0
) -> None:
start_time = time.time()
instance_existed = False
while time.time() - start_time < timeout:
state = client.request_json("GET", "/state")
instances = state.get("instances", {})
if instance_id not in instances:
if instance_existed:
# Instance was deleted after being created - likely due to runner failure
raise RuntimeError(
f"Instance {instance_id} was deleted (runner may have failed)"
)
time.sleep(0.1)
continue
instance_existed = True
instance = instances[instance_id]
runner_ids = runner_ids_from_instance(instance)
runners = state.get("runners", {})
# Check for failed runners first
for rid in runner_ids:
runner = runners.get(rid, {})
if runner_failed(runner):
error_msg = get_runner_failed_message(runner) or "Unknown error"
raise RuntimeError(f"Runner {rid} failed: {error_msg}")
if all(runner_ready(runners.get(rid, {})) for rid in runner_ids):
return
time.sleep(0.1)
raise TimeoutError(f"Instance {instance_id} did not become ready within {timeout=}")
def wait_for_instance_gone(
client: ExoClient, instance_id: str, timeout: float = 3.0
) -> None:
start_time = time.time()
while time.time() - start_time < timeout:
try:
client.request_json("GET", f"/instance/{instance_id}")
time.sleep(0.4)
except ExoHttpError as e:
if e.status == 404:
return
raise
raise TimeoutError(f"Instance {instance_id} did not get deleted within {timeout=}")
def resolve_model_short_id(client: ExoClient, model_arg: str) -> tuple[str, str]:
models = client.request_json("GET", "/models") or {}
data = models.get("data") or []
for m in data:
if (m.get("name") or "").lower() == model_arg.lower():
short_id = str(m["name"])
full_id = str(m.get("hugging_face_id") or m["name"])
return short_id, full_id
for m in data:
if m.get("hugging_face_id") == model_arg:
short_id = str(m["name"])
full_id = str(m["hugging_face_id"])
return short_id, full_id
raise ValueError(f"Model not found in /models: {model_arg}")
def placement_filter(instance_meta: str, wanted: str) -> bool:
s = (instance_meta or "").lower()
if wanted == "both":
return ("ring" in s) or ("jaccl" in s)
return wanted in s
def sharding_filter(sharding: str, wanted: str) -> bool:
s = (sharding or "").lower()
if wanted == "both":
return ("pipeline" in s) or ("tensor" in s)
return wanted in s
def fetch_and_filter_placements(
client: ExoClient, full_model_id: str, args: argparse.Namespace
) -> list[dict[str, Any]]:
previews_resp = client.request_json(
"GET", "/instance/previews", params={"model_id": full_model_id}
)
previews = previews_resp.get("previews") or []
selected: list[dict[str, Any]] = []
for p in previews:
if p.get("error") is not None:
continue
if not placement_filter(str(p.get("instance_meta", "")), args.instance_meta):
continue
if not sharding_filter(str(p.get("sharding", "")), args.sharding):
continue
instance = p.get("instance")
if not isinstance(instance, dict):
continue
n = nodes_used_in_instance(instance)
# Skip tensor ring single node as it is pointless when pipeline ring
if n == 1 and (
(args.sharding == "both" and "tensor" in p.get("sharding", "").lower())
or (
args.instance_meta == "both"
and "jaccl" in p.get("instance_meta", "").lower()
)
):
continue
if (
args.skip_pipeline_jaccl
and (
args.instance_meta == "both"
and "jaccl" in p.get("instance_meta", "").lower()
)
and (
args.sharding == "both" and "pipeline" in p.get("sharding", "").lower()
)
):
continue
if (
args.skip_tensor_ring
and (
args.instance_meta == "both"
and "ring" in p.get("instance_meta", "").lower()
)
and (args.sharding == "both" and "tensor" in p.get("sharding", "").lower())
):
continue
if args.min_nodes <= n <= args.max_nodes:
selected.append(p)
return selected
def settle_and_fetch_placements(
client: ExoClient,
full_model_id: str,
args: argparse.Namespace,
settle_timeout: float = 0,
) -> list[dict[str, Any]]:
selected = fetch_and_filter_placements(client, full_model_id, args)
if not selected and settle_timeout > 0:
backoff = _SETTLE_INITIAL_BACKOFF_S
deadline = time.monotonic() + settle_timeout
while not selected and time.monotonic() < deadline:
remaining = deadline - time.monotonic()
logger.warning(
f"No valid placements yet (cluster may still be settling). "
f"Retrying in {backoff:.1f}s ({remaining:.0f}s remaining)..."
)
time.sleep(min(backoff, remaining))
backoff = min(backoff * _SETTLE_BACKOFF_MULTIPLIER, _SETTLE_MAX_BACKOFF_S)
selected = fetch_and_filter_placements(client, full_model_id, args)
return selected
def add_common_instance_args(ap: argparse.ArgumentParser) -> None:
ap.add_argument("--host", default=os.environ.get("EXO_HOST", "localhost"))
ap.add_argument(
"--port", type=int, default=int(os.environ.get("EXO_PORT", "52415"))
)
ap.add_argument("--model", required=True, help="Model short id or huggingface id")
ap.add_argument(
"--max-nodes",
type=int,
default=4,
help="Only consider placements using <= this many nodes.",
)
ap.add_argument(
"--min-nodes",
type=int,
default=1,
help="Only consider placements using >= this many nodes.",
)
ap.add_argument(
"--instance-meta", choices=["ring", "jaccl", "both"], default="both"
)
ap.add_argument(
"--sharding", choices=["pipeline", "tensor", "both"], default="both"
)
ap.add_argument(
"--skip-pipeline-jaccl",
action="store_true",
help="Skip pipeline+jaccl placements, as it's often pointless.",
)
ap.add_argument(
"--skip-tensor-ring",
action="store_true",
help="Skip tensor+ring placements, as it's so slow.",
)
ap.add_argument(
"--timeout", type=float, default=7200.0, help="HTTP timeout (seconds)."
)
ap.add_argument(
"--settle-timeout",
type=float,
default=0,
help="Max seconds to wait for the cluster to produce valid placements (0 = try once).",
)

View File

@@ -4,6 +4,7 @@ version = "0.1.0"
description = "Benchmarking tool for exo distributed inference"
requires-python = ">=3.13"
dependencies = [
"httpx>=0.27.0",
"loguru>=0.7.3",
"transformers>=5.0.0",
"huggingface-hub>=0.33.4",

240
bench/scenarios.toml Normal file
View File

@@ -0,0 +1,240 @@
# Tool definitions — each becomes an OpenAI function tool.
# All scenarios get all tools unless they specify a `tools` list.
[tools.get_current_weather]
description = "Get the current weather in a given location"
required = ["location"]
[tools.get_current_weather.properties.location]
type = "string"
description = "City and state, e.g. San Francisco, CA"
[tools.get_current_weather.properties.unit]
type = "string"
enum = ["celsius", "fahrenheit"]
description = "Temperature unit"
[tools.calculate]
description = "Evaluate a mathematical expression and return the numeric result"
required = ["expression"]
[tools.calculate.properties.expression]
type = "string"
description = "The math expression to evaluate, e.g. '2 + 3 * 4'"
[tools.search_products]
description = "Search for products in a catalog by query, category, and price"
required = ["query"]
[tools.search_products.properties.query]
type = "string"
description = "Search query string"
[tools.search_products.properties.category]
type = "string"
enum = ["electronics", "clothing", "food", "books"]
description = "Product category to filter by"
[tools.search_products.properties.max_price]
type = "number"
description = "Maximum price in USD"
# -- Should call a tool --
[[scenarios]]
name = "weather_simple"
description = "Basic weather query -> get_current_weather"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[[scenarios.messages]]
role = "user"
content = "What's the weather like in Tokyo right now?"
[[scenarios]]
name = "calculator_simple"
description = "Math question -> calculate"
expect_tool_call = true
expected_function = "calculate"
required_arg_keys = ["expression"]
[[scenarios.messages]]
role = "user"
content = "Use the calculator to compute 3847 * 926 + 17293"
[[scenarios]]
name = "search_with_filters"
description = "Product search with category and price filter"
expect_tool_call = true
expected_function = "search_products"
required_arg_keys = ["query"]
[[scenarios.messages]]
role = "user"
content = "Find me electronics under $50"
# -- Multi-turn: tool call then follow-up --
[[scenarios]]
name = "weather_multi_turn"
description = "Weather query -> tool result -> natural language summary"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[scenarios.tool_result]
temperature = "18C"
condition = "partly cloudy"
humidity = "65%"
wind = "12 km/h NW"
[[scenarios.messages]]
role = "user"
content = "What's the weather in Paris?"
[[scenarios]]
name = "calculator_multi_turn"
description = "Math query -> tool result -> model reports the answer"
expect_tool_call = true
expected_function = "calculate"
required_arg_keys = ["expression"]
[scenarios.tool_result]
result = 491682
[[scenarios.messages]]
role = "user"
content = "Use the calculator to compute 1847 * 263 + 5921"
[[scenarios]]
name = "search_multi_turn"
description = "Search query -> tool result -> model summarizes products"
expect_tool_call = true
expected_function = "search_products"
required_arg_keys = ["query"]
[[scenarios.tool_result.results]]
name = "Hands-On Machine Learning"
price = 45.99
rating = 4.8
[[scenarios.tool_result.results]]
name = "Deep Learning with Python"
price = 39.99
rating = 4.6
[[scenarios.messages]]
role = "user"
content = "Search for books about machine learning"
# -- Sequential tool calls --
[[scenarios]]
name = "chained_tool_calls_same"
description = "Thinking + weather(Tokyo) -> result -> model must call weather(London)"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[[scenarios.messages]]
role = "user"
content = "Compare the weather in Tokyo and London."
[[scenarios.messages]]
role = "assistant"
content = "I'll check both cities. Let me start with Tokyo."
[[scenarios.messages.tool_calls]]
id = "call_1"
name = "get_current_weather"
arguments = { location = "Tokyo" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_1"
content = '{"temperature": "25C", "condition": "sunny"}'
[[scenarios]]
name = "chained_tool_calls_different"
description = "Thinking + weather(Berlin) -> result -> model must call calculator"
expect_tool_call = true
expected_function = "calculate"
required_arg_keys = ["expression"]
[[scenarios.messages]]
role = "user"
content = "What's the weather in Berlin, and also use the calculator to compute 4819 * 37 + 291."
[[scenarios.messages]]
role = "assistant"
content = "I'll handle both. Let me check Berlin's weather first."
[[scenarios.messages.tool_calls]]
id = "call_2"
name = "get_current_weather"
arguments = { location = "Berlin" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_2"
content = '{"temperature": "12C", "condition": "rainy"}'
[[scenarios]]
name = "chained_tool_calls_three"
description = "Two prior thinking+tool calls -> results -> model must make a third"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[[scenarios.messages]]
role = "user"
content = "Compare weather in Tokyo, Paris, and London."
[[scenarios.messages]]
role = "assistant"
content = "I'll check all three cities. Starting with Tokyo."
[[scenarios.messages.tool_calls]]
id = "call_3"
name = "get_current_weather"
arguments = { location = "Tokyo" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_3"
content = '{"temperature": "25C", "condition": "sunny"}'
[[scenarios.messages]]
role = "assistant"
content = "Got Tokyo. Now checking Paris."
[[scenarios.messages.tool_calls]]
id = "call_4"
name = "get_current_weather"
arguments = { location = "Paris" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_4"
content = '{"temperature": "18C", "condition": "cloudy"}'
# -- Should NOT call a tool --
[[scenarios]]
name = "no_tool_joke"
description = "Joke request should NOT trigger any tool"
expect_tool_call = false
[[scenarios.messages]]
role = "user"
content = "Tell me a funny joke about cats."
[[scenarios]]
name = "no_tool_factual"
description = "Factual question answerable from training data"
expect_tool_call = false
[[scenarios.messages]]
role = "user"
content = "What is the capital of Japan?"

189
bench/single-m3-ultra.toml Normal file
View File

@@ -0,0 +1,189 @@
# Single-node M3 Ultra benchmarks
#
# Shared constraints applied to ALL benchmarks in this file.
constraints = [
"All(MacOsBuild(=25D125))",
"Hosts(=1)",
"All(Chip(m3_ultra))",
"All(GpuCores(=80))",
]
[topology]
type = "none"
# Default args merged into each benchmark's args (benchmark-level args win).
[defaults]
pp = [512, 2048, 8192, 16384]
tg = 128
[[benchmark]]
model = "mlx-community/Meta-Llama-3.1-70B-Instruct-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/gpt-oss-120b-MXFP4-Q8"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.7-Flash-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Coder-Next-6bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-30B-A3B-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-0.6B-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-0.6B-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Llama-3.2-1B-Instruct-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Llama-3.2-3B-Instruct-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Llama-3.2-3B-Instruct-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Meta-Llama-3.1-8B-Instruct-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Meta-Llama-3.1-8B-Instruct-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Meta-Llama-3.1-8B-Instruct-bf16"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/gpt-oss-20b-MXFP4-Q8"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-30B-A3B-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.7-Flash-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.7-Flash-5bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.7-Flash-6bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Llama-3.3-70B-Instruct-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Coder-Next-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Coder-Next-5bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Coder-Next-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Next-80B-A3B-Instruct-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Next-80B-A3B-Instruct-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Next-80B-A3B-Thinking-4bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Next-80B-A3B-Thinking-8bit"
extra_constraints = ["All(Memory(>=96GiB))"]
[[benchmark]]
model = "mlx-community/Llama-3.3-70B-Instruct-8bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/llama-3.3-70b-instruct-fp16"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.5-Air-8bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.5-Air-bf16"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.7-4bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/MiniMax-M2.1-3bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/MiniMax-M2.1-8bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Coder-Next-bf16"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/Step-3.5-Flash-4bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/Step-3.5-Flash-6bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/Step-3.5-Flash-8Bit"
extra_constraints = ["All(Memory(>=256GiB))"]
[[benchmark]]
model = "mlx-community/DeepSeek-V3.1-4bit"
extra_constraints = ["All(Memory(>=512GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.7-6bit"
extra_constraints = ["All(Memory(>=512GiB))"]
[[benchmark]]
model = "mlx-community/GLM-4.7-8bit-gs32"
extra_constraints = ["All(Memory(>=512GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-235B-A22B-Instruct-2507-8bit"
extra_constraints = ["All(Memory(>=512GiB))"]
[[benchmark]]
model = "mlx-community/Qwen3-Coder-480B-A35B-Instruct-4bit"
extra_constraints = ["All(Memory(>=512GiB))"]

View File

@@ -1,7 +1,6 @@
<script lang="ts">
import {
isLoading,
stopGeneration,
sendMessage,
generateImage,
editImage,
@@ -104,7 +103,7 @@
const modelSupportsThinking = $derived(() => {
if (!currentModel) return false;
const caps = modelCapabilities[currentModel] || [];
return caps.includes("thinking") && caps.includes("text");
return caps.includes("thinking_toggle") && caps.includes("text");
});
const isEditOnlyWithoutImage = $derived(
@@ -266,6 +265,7 @@
function handleSubmit() {
if ((!message.trim() && uploadedFiles.length === 0) || loading) return;
if (isEditOnlyWithoutImage) return;
const content = message.trim();
const files = [...uploadedFiles];
@@ -290,7 +290,11 @@
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 {
@@ -649,92 +653,86 @@
style="min-height: 28px; max-height: 150px;"
></textarea>
{#if loading}
<button
type="button"
onclick={() => stopGeneration()}
class="px-2.5 sm:px-4 py-1.5 sm:py-2 rounded text-xs sm:text-xs tracking-[0.1em] sm:tracking-[0.15em] uppercase font-medium transition-all duration-200 whitespace-nowrap bg-exo-medium-gray/70 text-exo-light-gray hover:bg-red-900/50 hover:text-red-400 border border-exo-medium-gray/50 hover:border-red-500/50 cursor-pointer"
aria-label="Stop generation"
>
<button
type="submit"
disabled={!canSend || loading || isEditOnlyWithoutImage}
class="px-2.5 sm:px-4 py-1.5 sm:py-2 rounded text-xs sm:text-xs tracking-[0.1em] sm:tracking-[0.15em] uppercase font-medium transition-all duration-200 whitespace-nowrap
{!canSend || loading || isEditOnlyWithoutImage
? 'bg-exo-medium-gray/50 text-exo-light-gray cursor-not-allowed'
: 'bg-exo-yellow text-exo-black hover:bg-exo-yellow-darker hover:shadow-[0_0_20px_rgba(255,215,0,0.3)]'}"
aria-label={shouldShowEditMode
? "Edit image"
: isImageModel()
? "Generate image"
: "Send message"}
>
{#if loading}
<span class="inline-flex items-center gap-1 sm:gap-2">
<svg
class="w-2.5 h-2.5 sm:w-3 sm:h-3"
viewBox="0 0 24 24"
fill="currentColor"
<span
class="w-2.5 h-2.5 sm:w-3 sm:h-3 border-2 border-current border-t-transparent rounded-full animate-spin"
></span>
<span class="hidden sm:inline"
>{shouldShowEditMode
? "EDITING"
: isImageModel()
? "GENERATING"
: "PROCESSING"}</span
>
<rect x="4" y="4" width="16" height="16" rx="2" />
</svg>
<span class="hidden sm:inline">STOP</span>
<span class="sm:hidden">...</span>
</span>
</button>
{:else}
<button
type="submit"
disabled={!canSend || isEditOnlyWithoutImage}
class="px-2.5 sm:px-4 py-1.5 sm:py-2 rounded text-xs sm:text-xs tracking-[0.1em] sm:tracking-[0.15em] uppercase font-medium transition-all duration-200 whitespace-nowrap
{!canSend || isEditOnlyWithoutImage
? 'bg-exo-medium-gray/50 text-exo-light-gray cursor-not-allowed'
: 'bg-exo-yellow text-exo-black hover:bg-exo-yellow-darker hover:shadow-[0_0_20px_rgba(255,215,0,0.3)]'}"
aria-label={shouldShowEditMode
? "Edit image"
: isImageModel()
? "Generate image"
: "Send message"}
>
{#if shouldShowEditMode}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
</svg>
<span>EDIT</span>
</span>
{:else if isEditOnlyWithoutImage}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
</svg>
<span>EDIT</span>
</span>
{:else if isImageModel()}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<rect x="3" y="3" width="18" height="18" rx="2" ry="2" />
<circle cx="8.5" cy="8.5" r="1.5" />
<polyline points="21 15 16 10 5 21" />
</svg>
<span>GENERATE</span>
</span>
{:else}
SEND
{/if}
</button>
{/if}
{:else if shouldShowEditMode}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
</svg>
<span>EDIT</span>
</span>
{:else if isEditOnlyWithoutImage}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
</svg>
<span>EDIT</span>
</span>
{:else if isImageModel()}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<rect x="3" y="3" width="18" height="18" rx="2" ry="2" />
<circle cx="8.5" cy="8.5" r="1.5" />
<polyline points="21 15 16 10 5 21" />
</svg>
<span>GENERATE</span>
</span>
{:else}
SEND
{/if}
</button>
</div>
<!-- Bottom accent line -->

View File

@@ -225,6 +225,7 @@
}
function handleDeleteClick(messageId: string) {
if (loading) return;
deleteConfirmId = messageId;
}
@@ -255,7 +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'
@@ -317,9 +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
@@ -751,8 +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"

View File

@@ -59,13 +59,14 @@
}
const sizeOptions: ImageGenerationParams["size"][] = [
"auto",
"512x512",
"768x768",
"1024x1024",
"1024x768",
"768x1024",
"1024x1365",
"1365x1024",
"1024x1536",
"1536x1024",
];
const qualityOptions: ImageGenerationParams["quality"][] = [
@@ -176,92 +177,90 @@
<div class="border-b border-exo-medium-gray/30 px-3 py-2">
<!-- Basic params row -->
<div class="flex items-center gap-3 flex-wrap">
<!-- Size (hidden in edit mode - output size comes from input image) -->
{#if !isEditMode}
<div class="flex items-center gap-1.5">
<span class="text-xs text-exo-light-gray uppercase tracking-wider"
>SIZE:</span
<!-- Size -->
<div class="flex items-center gap-1.5">
<span class="text-xs text-exo-light-gray uppercase tracking-wider"
>SIZE:</span
>
<div class="relative">
<button
bind:this={sizeButtonRef}
type="button"
onclick={() => (isSizeDropdownOpen = !isSizeDropdownOpen)}
class="bg-exo-medium-gray/50 border border-exo-yellow/30 rounded pl-2 pr-6 py-1 text-xs font-mono text-exo-yellow cursor-pointer transition-all duration-200 hover:border-exo-yellow/50 focus:outline-none focus:border-exo-yellow/70 {isSizeDropdownOpen
? 'border-exo-yellow/70'
: ''}"
>
<div class="relative">
<button
bind:this={sizeButtonRef}
type="button"
onclick={() => (isSizeDropdownOpen = !isSizeDropdownOpen)}
class="bg-exo-medium-gray/50 border border-exo-yellow/30 rounded pl-2 pr-6 py-1 text-xs font-mono text-exo-yellow cursor-pointer transition-all duration-200 hover:border-exo-yellow/50 focus:outline-none focus:border-exo-yellow/70 {isSizeDropdownOpen
? 'border-exo-yellow/70'
: ''}"
{params.size.toUpperCase()}
</button>
<div
class="absolute right-1.5 top-1/2 -translate-y-1/2 pointer-events-none transition-transform duration-200 {isSizeDropdownOpen
? 'rotate-180'
: ''}"
>
<svg
class="w-3 h-3 text-exo-yellow/60"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
{params.size}
</button>
<div
class="absolute right-1.5 top-1/2 -translate-y-1/2 pointer-events-none transition-transform duration-200 {isSizeDropdownOpen
? 'rotate-180'
: ''}"
>
<svg
class="w-3 h-3 text-exo-yellow/60"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M19 9l-7 7-7-7"
/>
</svg>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M19 9l-7 7-7-7"
/>
</svg>
</div>
</div>
{#if isSizeDropdownOpen}
<!-- Backdrop to close dropdown -->
<button
type="button"
class="fixed inset-0 z-[9998] cursor-default"
onclick={() => (isSizeDropdownOpen = false)}
aria-label="Close dropdown"
></button>
<!-- Dropdown Panel - fixed positioning to escape overflow:hidden -->
<div
class="fixed bg-exo-dark-gray border border-exo-yellow/30 rounded shadow-lg shadow-black/50 z-[9999] max-h-48 overflow-y-auto overflow-x-hidden min-w-max"
style="bottom: calc(100vh - {sizeDropdownPosition()
.top}px + 4px); left: {sizeDropdownPosition().left}px;"
>
<div class="py-1">
{#each sizeOptions as size}
<button
type="button"
onclick={() => selectSize(size)}
class="w-full px-3 py-1.5 text-left text-xs font-mono tracking-wide transition-colors duration-100 flex items-center gap-2 {params.size ===
size
? 'bg-transparent text-exo-yellow'
: 'text-exo-light-gray hover:text-exo-yellow'}"
>
{#if params.size === size}
<svg
class="w-3 h-3 flex-shrink-0"
fill="currentColor"
viewBox="0 0 20 20"
>
<path
fill-rule="evenodd"
d="M16.707 5.293a1 1 0 010 1.414l-8 8a1 1 0 01-1.414 0l-4-4a1 1 0 011.414-1.414L8 12.586l7.293-7.293a1 1 0 011.414 0z"
clip-rule="evenodd"
/>
</svg>
{:else}
<span class="w-3"></span>
{/if}
<span>{size.toUpperCase()}</span>
</button>
{/each}
</div>
</div>
{#if isSizeDropdownOpen}
<!-- Backdrop to close dropdown -->
<button
type="button"
class="fixed inset-0 z-[9998] cursor-default"
onclick={() => (isSizeDropdownOpen = false)}
aria-label="Close dropdown"
></button>
<!-- Dropdown Panel - fixed positioning to escape overflow:hidden -->
<div
class="fixed bg-exo-dark-gray border border-exo-yellow/30 rounded shadow-lg shadow-black/50 z-[9999] max-h-48 overflow-y-auto min-w-max"
style="bottom: calc(100vh - {sizeDropdownPosition()
.top}px + 4px); left: {sizeDropdownPosition().left}px;"
>
<div class="py-1">
{#each sizeOptions as size}
<button
type="button"
onclick={() => selectSize(size)}
class="w-full px-3 py-1.5 text-left text-xs font-mono tracking-wide transition-colors duration-100 flex items-center gap-2 {params.size ===
size
? 'bg-transparent text-exo-yellow'
: 'text-exo-light-gray hover:text-exo-yellow'}"
>
{#if params.size === size}
<svg
class="w-3 h-3 flex-shrink-0"
fill="currentColor"
viewBox="0 0 20 20"
>
<path
fill-rule="evenodd"
d="M16.707 5.293a1 1 0 010 1.414l-8 8a1 1 0 01-1.414 0l-4-4a1 1 0 011.414-1.414L8 12.586l7.293-7.293a1 1 0 011.414 0z"
clip-rule="evenodd"
/>
</svg>
{:else}
<span class="w-3"></span>
{/if}
<span>{size}</span>
</button>
{/each}
</div>
</div>
{/if}
</div>
{/if}
{/if}
</div>
<!-- Quality -->
<div class="flex items-center gap-1.5">
@@ -311,7 +310,7 @@
<!-- Dropdown Panel - fixed positioning to escape overflow:hidden -->
<div
class="fixed bg-exo-dark-gray border border-exo-yellow/30 rounded shadow-lg shadow-black/50 z-[9999] max-h-48 overflow-y-auto min-w-max"
class="fixed bg-exo-dark-gray border border-exo-yellow/30 rounded shadow-lg shadow-black/50 z-[9999] max-h-48 overflow-y-auto overflow-x-hidden min-w-max"
style="bottom: calc(100vh - {qualityDropdownPosition()
.top}px + 4px); left: {qualityDropdownPosition().left}px;"
>

View File

@@ -306,13 +306,14 @@ const IMAGE_PARAMS_STORAGE_KEY = "exo-image-generation-params";
export interface ImageGenerationParams {
// Basic params
size:
| "auto"
| "512x512"
| "768x768"
| "1024x1024"
| "1024x768"
| "768x1024"
| "1024x1365"
| "1365x1024";
| "1024x1536"
| "1536x1024";
quality: "low" | "medium" | "high";
outputFormat: "png" | "jpeg";
numImages: number;
@@ -336,7 +337,7 @@ export interface EditingImage {
}
const DEFAULT_IMAGE_PARAMS: ImageGenerationParams = {
size: "1024x1024",
size: "auto",
quality: "medium",
outputFormat: "png",
numImages: 1,
@@ -514,7 +515,6 @@ class AppStore {
messages = $state<Message[]>([]);
currentResponse = $state("");
isLoading = $state(false);
private currentAbortController: AbortController | null = null;
// Performance metrics
ttftMs = $state<number | null>(null); // Time to first token in ms
@@ -1815,11 +1815,9 @@ class AppStore {
return;
}
this.currentAbortController = new AbortController();
const response = await fetch("/v1/chat/completions", {
method: "POST",
headers: { "Content-Type": "application/json" },
signal: this.currentAbortController.signal,
body: JSON.stringify({
model: modelToUse,
messages: apiMessages,
@@ -1933,7 +1931,6 @@ class AppStore {
"Unknown error",
);
} finally {
this.currentAbortController = null;
this.isLoading = false;
this.currentResponse = "";
this.saveConversationsToStorage();
@@ -2070,10 +2067,6 @@ class AppStore {
assistantMessageId: string,
errorPrefix = "Failed to get response",
): void {
// Don't show error for user-initiated abort (stop button)
if (error instanceof DOMException && error.name === "AbortError") {
return;
}
if (this.conversationExists(targetConversationId)) {
this.updateConversationMessage(
targetConversationId,
@@ -2115,17 +2108,6 @@ class AppStore {
return null;
}
/**
* Stop the current generation by aborting the HTTP connection.
* This triggers backend cancellation via the mechanism in PR #1276.
*/
stopGeneration() {
if (this.currentAbortController) {
this.currentAbortController.abort();
this.currentAbortController = null;
}
}
/**
* Send a message to the LLM and stream the response
*/
@@ -2274,13 +2256,11 @@ class AppStore {
let firstTokenTime: number | null = null;
let tokenCount = 0;
this.currentAbortController = new AbortController();
const response = await fetch("/v1/chat/completions", {
method: "POST",
headers: {
"Content-Type": "application/json",
},
signal: this.currentAbortController.signal,
body: JSON.stringify({
model: modelToUse,
messages: apiMessages,
@@ -2431,7 +2411,6 @@ class AppStore {
"Failed to get response",
);
} finally {
this.currentAbortController = null;
this.isLoading = false;
this.currentResponse = "";
this.saveConversationsToStorage();
@@ -2536,13 +2515,11 @@ class AppStore {
};
}
this.currentAbortController = new AbortController();
const response = await fetch("/v1/images/generations", {
method: "POST",
headers: {
"Content-Type": "application/json",
},
signal: this.currentAbortController.signal,
body: JSON.stringify(requestBody),
});
@@ -2691,7 +2668,6 @@ class AppStore {
"Failed to generate image",
);
} finally {
this.currentAbortController = null;
this.isLoading = false;
this.saveConversationsToStorage();
}
@@ -2813,10 +2789,8 @@ class AppStore {
);
}
this.currentAbortController = new AbortController();
const apiResponse = await fetch("/v1/images/edits", {
method: "POST",
signal: this.currentAbortController.signal,
body: formData,
});
@@ -2926,7 +2900,6 @@ class AppStore {
"Failed to edit image",
);
} finally {
this.currentAbortController = null;
this.isLoading = false;
this.saveConversationsToStorage();
}
@@ -3067,7 +3040,6 @@ export const hasStartedChat = () => appStore.hasStartedChat;
export const messages = () => appStore.messages;
export const currentResponse = () => appStore.currentResponse;
export const isLoading = () => appStore.isLoading;
export const stopGeneration = () => appStore.stopGeneration();
export const ttftMs = () => appStore.ttftMs;
export const tps = () => appStore.tps;
export const totalTokens = () => appStore.totalTokens;

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File diff suppressed because it is too large Load Diff

View File

@@ -74,7 +74,6 @@
perSystem =
{ config, self', inputs', pkgs, lib, system, ... }:
let
fenixToolchain = inputs'.fenix.packages.complete;
# Use pinned nixpkgs for swift-format (swift is broken on x86_64-linux in newer nixpkgs)
pkgsSwift = import inputs.nixpkgs-swift { inherit system; };
in
@@ -115,7 +114,7 @@
packages = lib.optionalAttrs pkgs.stdenv.hostPlatform.isDarwin (
let
uvLock = builtins.fromTOML (builtins.readFile ./uv.lock);
mlxPackage = builtins.head (builtins.filter (p: p.name == "mlx") uvLock.package);
mlxPackage = builtins.head (builtins.filter (p: p.name == "mlx" && p.source ? git) uvLock.package);
uvLockMlxVersion = mlxPackage.version;
in
{

View File

@@ -41,16 +41,16 @@ let
mlx = stdenv.mkDerivation rec {
pname = "mlx";
version = let v = "0.30.6"; in
version = let v = "0.30.7.dev20260218+14841977"; in
assert v == uvLockMlxVersion || throw "MLX version mismatch: nix/mlx.nix has ${v} but uv.lock has ${uvLockMlxVersion}. Update both the version and hash in nix/mlx.nix.";
v;
pyproject = true;
src = fetchFromGitHub {
owner = "ml-explore";
repo = "mlx";
tag = "v${version}";
hash = "sha256-avD5EGhwgmPdXLAyQSqTO6AXk/W3ziH+f6AetjK3Sdo=";
owner = "rltakashige";
repo = "mlx-jaccl-fix-small-recv";
rev = "1484197707f35186ad3bd614357c7c47fdf86ebc";
hash = "sha256-FupCMoK/SF/ldfKuvMSAKECcOP8c+ANgkQlPZttDsLk=";
};
patches = [

View File

@@ -17,9 +17,9 @@ dependencies = [
"loguru>=0.7.3",
"exo_pyo3_bindings", # rust bindings
"anyio==4.11.0",
"mlx==0.30.6; sys_platform == 'darwin'",
"mlx; sys_platform == 'darwin'",
"mlx[cpu]==0.30.6; sys_platform == 'linux'",
"mlx-lm==0.30.6",
"mlx-lm==0.30.7",
"tiktoken>=0.12.0", # required for kimi k2 tokenizer
"hypercorn>=0.18.0",
"openai-harmony>=0.0.8",
@@ -64,6 +64,7 @@ members = [
[tool.uv.sources]
exo_pyo3_bindings = { workspace = true }
mlx = { git = "https://github.com/rltakashige/mlx-jaccl-fix-small-recv.git", branch = "address-rdma-gpu-locks", marker = "sys_platform == 'darwin'" }
#mlx-lm = { git = "https://github.com/davidmcc73/mlx-lm", branch = "stable" }
# Uncomment to use local mlx/mlx-lm development versions:
# mlx = { path = "/Users/Shared/mlx", editable=true }

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 +37,47 @@
# 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;
mlx-cuda-13 = prev.mlx-cuda-13.overrideAttrs (old: {
buildInputs = (old.buildInputs or [ ]) ++ [
final.nvidia-cublas
final.nvidia-cuda-nvrtc
final.nvidia-cudnn-cu13
final.nvidia-nccl-cu13
];
preFixup = ''
addAutoPatchelfSearchPath ${final.nvidia-cublas}
addAutoPatchelfSearchPath ${final.nvidia-cuda-nvrtc}
addAutoPatchelfSearchPath ${final.nvidia-cudnn-cu13}
addAutoPatchelfSearchPath ${final.nvidia-nccl-cu13}
'';
autoPatchelfIgnoreMissingDeps = [ "libcuda.so.1" ];
});
torch = ignoreMissing prev.torch;
triton = ignoreMissing prev.triton;
}
);
pythonSet = (pkgs.callPackage inputs.pyproject-nix.build.packages {
inherit python;
}).overrideScope (
@@ -48,16 +86,28 @@
overlay
exoOverlay
buildSystemsOverlay
linuxOverlay
]
);
exoVenv = pythonSet.mkVirtualEnv "exo-env" workspace.deps.default;
# mlx-cpu and mlx-cuda-13 both ship mlx/ site-packages files; keep first.
# mlx-cpu/mlx-cuda-13 and nvidia-cudnn-cu12/cu13 ship overlapping files.
venvCollisionPaths = lib.optionals pkgs.stdenv.hostPlatform.isLinux [
"lib/python3.13/site-packages/mlx*"
"lib/python3.13/site-packages/nvidia*"
];
exoVenv = (pythonSet.mkVirtualEnv "exo-env" workspace.deps.default).overrideAttrs {
venvIgnoreCollisions = venvCollisionPaths;
};
# Virtual environment with dev dependencies for testing
testVenv = pythonSet.mkVirtualEnv "exo-test-env" (
testVenv = (pythonSet.mkVirtualEnv "exo-test-env" (
workspace.deps.default // {
exo = [ "dev" ]; # Include pytest, pytest-asyncio, pytest-env
}
);
)).overrideAttrs {
venvIgnoreCollisions = venvCollisionPaths;
};
mkPythonScript = name: path: pkgs.writeShellApplication {
inherit name;
@@ -108,6 +158,7 @@
exo-test-env = testVenv;
} // {
exo-bench = mkBenchScript "exo-bench" (inputs.self + /bench/exo_bench.py);
exo-eval-tool-calls = mkBenchScript "exo-eval-tool-calls" (inputs.self + /bench/eval_tool_calls.py);
exo-get-all-models-on-cluster = mkSimplePythonScript "exo-get-all-models-on-cluster" (inputs.self + /tests/get_all_models_on_cluster.py);
};
@@ -118,6 +169,21 @@
${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
'';
};
};
}

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "deepseek"
quantization = "4bit"
base_model = "DeepSeek V3.1"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 405874409472

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "deepseek"
quantization = "8bit"
base_model = "DeepSeek V3.1"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 765577920512

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "8bit"
base_model = "GLM 4.5 Air"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 122406567936

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "bf16"
base_model = "GLM 4.5 Air"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 229780750336

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "4bit"
base_model = "GLM 4.7"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 198556925568

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "6bit"
base_model = "GLM 4.7"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 286737579648

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "8bit"
base_model = "GLM 4.7"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 396963397248

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "4bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 19327352832

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "5bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 22548578304

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "6bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 26843545600

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "8bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 34359738368

View File

@@ -0,0 +1,12 @@
model_id = "mlx-community/GLM-5-8bit-MXFP8"
n_layers = 78
hidden_size = 6144
supports_tensor = true
tasks = ["TextGeneration"]
family = "glm"
quantization = "8bit"
base_model = "GLM-5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 790517400864

View File

@@ -0,0 +1,12 @@
model_id = "mlx-community/GLM-5-MXFP4-Q8"
n_layers = 78
hidden_size = 6144
supports_tensor = true
tasks = ["TextGeneration"]
family = "glm"
quantization = "MXFP4-Q8"
base_model = "GLM-5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 405478939008

View File

@@ -0,0 +1,12 @@
model_id = "mlx-community/GLM-5"
n_layers = 78
hidden_size = 6144
supports_tensor = true
tasks = ["TextGeneration"]
family = "glm"
quantization = "bf16"
base_model = "GLM-5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 1487822475264

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "kimi"
quantization = ""
base_model = "Kimi K2"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 706522120192

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "kimi"
quantization = ""
base_model = "Kimi K2.5"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 662498705408

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "minimax"
quantization = "3bit"
base_model = "MiniMax M2.1"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 100086644736

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "minimax"
quantization = "8bit"
base_model = "MiniMax M2.1"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 242986745856

View File

@@ -0,0 +1,12 @@
model_id = "mlx-community/MiniMax-M2.5-4bit"
n_layers = 62
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "minimax"
quantization = "4bit"
base_model = "MiniMax M2.5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 128666664960

View File

@@ -0,0 +1,12 @@
model_id = "mlx-community/MiniMax-M2.5-6bit"
n_layers = 62
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "minimax"
quantization = "6bit"
base_model = "MiniMax M2.5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 185826705408

View File

@@ -0,0 +1,12 @@
model_id = "mlx-community/MiniMax-M2.5-8bit"
n_layers = 62
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "minimax"
quantization = "8bit"
base_model = "MiniMax M2.5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 242986745856

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 0.6B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 342884352

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 0.6B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 698351616

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 235B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 141733920768

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 235B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 268435456000

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 30B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 17612931072

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 30B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 33279705088

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 Next 80B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 47080074240

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 Next 80B"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 88814387200

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "step"
quantization = "4bit"
base_model = "Step 3.5 Flash"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 114572190076

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "step"
quantization = "6bit"
base_model = "Step 3.5 Flash"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 159039627774

View File

@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "step"
quantization = "8bit"
base_model = "Step 3.5 Flash"
capabilities = ["text", "thinking"]
capabilities = ["text", "thinking", "thinking_toggle"]
[storage_size]
in_bytes = 209082699847

View File

@@ -1,2 +0,0 @@
# we can manually exclude false-positive lint errors for dual packages (if in dependencies)
#allowed-duplicate-crates = ["hashbrown"]

View File

@@ -25,17 +25,17 @@ workspace = true
networking = { workspace = true }
# interop
pyo3 = { version = "0.27.1", features = [
# "abi3-py311", # tells pyo3 (and maturin) to build using the stable ABI with minimum Python version 3.11
"nightly", # enables better-supported GIL integration
pyo3 = { version = "0.27.2", features = [
# "abi3-py313", # tells pyo3 (and maturin) to build using the stable ABI with minimum Python version 3.13
# "nightly", # enables better-supported GIL integration
"experimental-async", # async support in #[pyfunction] & #[pymethods]
#"experimental-inspect", # inspection of generated binary => easier to automate type-hint generation
#"py-clone", # adding Clone-ing of `Py<T>` without GIL (may cause panics - remove if panics happen)
"multiple-pymethods", # allows multiple #[pymethods] sections per class
# "multiple-pymethods", # allows multiple #[pymethods] sections per class
# integrations with other libraries
"arc_lock", "bigdecimal", "either", "hashbrown", "indexmap", "num-bigint", "num-complex", "num-rational",
"ordered-float", "rust_decimal", "smallvec",
# "arc_lock", "bigdecimal", "either", "hashbrown", "indexmap", "num-bigint", "num-complex", "num-rational",
# "ordered-float", "rust_decimal", "smallvec",
# "anyhow", "chrono", "chrono-local", "chrono-tz", "eyre", "jiff-02", "lock_api", "parking-lot", "time", "serde",
] }
pyo3-stub-gen = { version = "0.17.2" }
@@ -45,33 +45,18 @@ pyo3-log = "0.13.2"
# macro dependencies
extend = { workspace = true }
delegate = { workspace = true }
impl-trait-for-tuples = { workspace = true }
derive_more = { workspace = true }
pin-project = { workspace = true }
# async runtime
tokio = { workspace = true, features = ["full", "tracing"] }
futures = { workspace = true }
futures-lite = { workspace = true }
# utility dependencies
once_cell = "1.21.3"
thread_local = "1.1.9"
util = { workspace = true }
thiserror = { workspace = true }
#internment = { workspace = true }
#recursion = { workspace = true }
#generativity = { workspace = true }
#itertools = { workspace = true }
# Tracing
#tracing = "0.1"
#tracing-subscriber = "0.3"
#console-subscriber = "0.1.5"
#tracing-log = "0.2.0"
log = { workspace = true }
env_logger = "0.11"
# Networking
libp2p = { workspace = true, features = ["full"] }
pin-project = "1.1.10"

View File

@@ -19,7 +19,7 @@ class ConnectionUpdate:
Whether this is a connection or disconnection event
"""
@property
def peer_id(self) -> PeerId:
def peer_id(self) -> builtins.str:
r"""
Identity of the peer that we have connected to or disconnected from.
"""
@@ -40,92 +40,22 @@ class Keypair:
Identity keypair of a node.
"""
@staticmethod
def generate_ed25519() -> Keypair:
def generate() -> Keypair:
r"""
Generate a new Ed25519 keypair.
"""
@staticmethod
def generate_ecdsa() -> Keypair:
def from_bytes(bytes: bytes) -> Keypair:
r"""
Generate a new ECDSA keypair.
"""
@staticmethod
def generate_secp256k1() -> Keypair:
r"""
Generate a new Secp256k1 keypair.
"""
@staticmethod
def from_protobuf_encoding(bytes: bytes) -> Keypair:
r"""
Decode a private key from a protobuf structure and parse it as a `Keypair`.
"""
@staticmethod
def rsa_from_pkcs8(bytes: bytes) -> Keypair:
r"""
Decode an keypair from a DER-encoded secret key in PKCS#8 `PrivateKeyInfo`
format (i.e. unencrypted) as defined in [RFC5208].
[RFC5208]: https://tools.ietf.org/html/rfc5208#section-5
"""
@staticmethod
def secp256k1_from_der(bytes: bytes) -> Keypair:
r"""
Decode a keypair from a DER-encoded Secp256k1 secret key in an `ECPrivateKey`
structure as defined in [RFC5915].
[RFC5915]: https://tools.ietf.org/html/rfc5915
"""
@staticmethod
def ed25519_from_bytes(bytes: bytes) -> Keypair: ...
def to_protobuf_encoding(self) -> bytes:
r"""
Encode a private key as protobuf structure.
"""
def to_peer_id(self) -> PeerId:
r"""
Convert the `Keypair` into the corresponding `PeerId`.
"""
@typing.final
class Multiaddr:
r"""
Representation of a Multiaddr.
"""
@staticmethod
def empty() -> Multiaddr:
r"""
Create a new, empty multiaddress.
"""
@staticmethod
def with_capacity(n: builtins.int) -> Multiaddr:
r"""
Create a new, empty multiaddress with the given capacity.
"""
@staticmethod
def from_bytes(bytes: bytes) -> Multiaddr:
r"""
Parse a `Multiaddr` value from its byte slice representation.
"""
@staticmethod
def from_string(string: builtins.str) -> Multiaddr:
r"""
Parse a `Multiaddr` value from its string representation.
"""
def len(self) -> builtins.int:
r"""
Return the length in bytes of this multiaddress.
"""
def is_empty(self) -> builtins.bool:
r"""
Returns true if the length of this multiaddress is 0.
Construct an Ed25519 keypair from secret key bytes
"""
def to_bytes(self) -> bytes:
r"""
Return a copy of this [`Multiaddr`]'s byte representation.
Get the secret key bytes underlying the keypair
"""
def to_string(self) -> builtins.str:
def to_node_id(self) -> builtins.str:
r"""
Convert a Multiaddr to a string.
Convert the `Keypair` into the corresponding `PeerId` string, which we use as our NodeId.
"""
@typing.final
@@ -180,37 +110,6 @@ class NoPeersSubscribedToTopicError(builtins.Exception):
def __repr__(self) -> builtins.str: ...
def __str__(self) -> builtins.str: ...
@typing.final
class PeerId:
r"""
Identifier of a peer of the network.
The data is a `CIDv0` compatible multihash of the protobuf encoded public key of the peer
as specified in [specs/peer-ids](https://github.com/libp2p/specs/blob/master/peer-ids/peer-ids.md).
"""
@staticmethod
def random() -> PeerId:
r"""
Generates a random peer ID from a cryptographically secure PRNG.
This is useful for randomly walking on a DHT, or for testing purposes.
"""
@staticmethod
def from_bytes(bytes: bytes) -> PeerId:
r"""
Parses a `PeerId` from bytes.
"""
def to_bytes(self) -> bytes:
r"""
Returns a raw bytes representation of this `PeerId`.
"""
def to_base58(self) -> builtins.str:
r"""
Returns a base-58 encoded string of this `PeerId`.
"""
def __repr__(self) -> builtins.str: ...
def __str__(self) -> builtins.str: ...
@typing.final
class ConnectionUpdateType(enum.Enum):
r"""

View File

@@ -2,11 +2,10 @@
//!
use pin_project::pin_project;
use pyo3::marker::Ungil;
use pyo3::prelude::*;
use std::{
future::Future,
pin::{Pin, pin},
pin::Pin,
task::{Context, Poll},
};
@@ -26,15 +25,13 @@ where
impl<F> Future for AllowThreads<F>
where
F: Future + Ungil,
F::Output: Ungil,
F: Future + Send,
F::Output: Send,
{
type Output = F::Output;
fn poll(self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<Self::Output> {
let waker = cx.waker();
Python::with_gil(|py| {
py.allow_threads(|| self.project().0.poll(&mut Context::from_waker(waker)))
})
Python::attach(|py| py.detach(|| self.project().0.poll(&mut Context::from_waker(waker))))
}
}

View File

@@ -1,240 +0,0 @@
//! This module exists to hold examples of some pyo3 patterns that may be too complex to
//! re-create from scratch, but too inhomogenous to create an abstraction/wrapper around.
//!
//! Pattern examples include:
//! - Async task handles: with GC-integrated cleanup
//! - Sync/async callbacks from python: with propper eventloop handling
//!
//! Mutability pattern: https://pyo3.rs/v0.26.0/async-await.html#send--static-constraint
//! - Store mutable fields in tokio's `Mutex<T>`
//! - For async code: take `&self` and `.lock().await`
//! - For sync code: take `&mut self` and `.get_mut()`
use crate::ext::{PyResultExt as _, ResultExt as _, TokioRuntimeExt as _};
use futures::FutureExt as _;
use futures::future::BoxFuture;
use pyo3::exceptions::PyRuntimeError;
use pyo3::prelude::{PyModule, PyModuleMethods as _};
use pyo3::{
Bound, Py, PyAny, PyErr, PyResult, PyTraverseError, PyVisit, Python, pyclass, pymethods,
};
use std::time::Duration;
use tokio::sync::mpsc;
use tokio::sync::mpsc::error::TryRecvError;
fn needs_tokio_runtime() {
tokio::runtime::Handle::current();
}
type SyncCallback = Box<dyn Fn() + Send + Sync>;
type AsyncCallback = Box<dyn Fn() -> BoxFuture<'static, ()> + Send + Sync>;
enum AsyncTaskMessage {
SyncCallback(SyncCallback),
AsyncCallback(AsyncCallback),
}
async fn async_task(
sender: mpsc::UnboundedSender<()>,
mut receiver: mpsc::UnboundedReceiver<AsyncTaskMessage>,
) {
log::info!("RUST: async task started");
// task state
let mut interval = tokio::time::interval(Duration::from_secs(1));
let mut sync_cbs: Vec<SyncCallback> = vec![];
let mut async_cbs: Vec<AsyncCallback> = vec![];
loop {
tokio::select! {
// handle incoming messages from task-handle
message = receiver.recv() => {
// handle closed channel by exiting
let Some(message) = message else {
log::info!("RUST: channel closed");
break;
};
// dispatch incoming event
match message {
AsyncTaskMessage::SyncCallback(cb) => {
sync_cbs.push(cb);
}
AsyncTaskMessage::AsyncCallback(cb) => {
async_cbs.push(cb);
}
}
}
// handle all other events
_ = interval.tick() => {
log::info!("RUST: async task tick");
// call back all sync callbacks
for cb in &sync_cbs {
cb();
}
// call back all async callbacks
for cb in &async_cbs {
cb().await;
}
// send event on unbounded channel
sender.send(()).expect("handle receiver cannot be closed/dropped");
}
}
}
log::info!("RUST: async task stopped");
}
// #[gen_stub_pyclass]
#[pyclass(name = "AsyncTaskHandle")]
#[derive(Debug)]
struct PyAsyncTaskHandle {
sender: Option<mpsc::UnboundedSender<AsyncTaskMessage>>,
receiver: mpsc::UnboundedReceiver<()>,
}
#[allow(clippy::expect_used)]
impl PyAsyncTaskHandle {
const fn sender(&self) -> &mpsc::UnboundedSender<AsyncTaskMessage> {
self.sender
.as_ref()
.expect("The sender should only be None after de-initialization.")
}
const fn sender_mut(&mut self) -> &mpsc::UnboundedSender<AsyncTaskMessage> {
self.sender
.as_mut()
.expect("The sender should only be None after de-initialization.")
}
const fn new(
sender: mpsc::UnboundedSender<AsyncTaskMessage>,
receiver: mpsc::UnboundedReceiver<()>,
) -> Self {
Self {
sender: Some(sender),
receiver,
}
}
}
// #[gen_stub_pymethods]
#[pymethods]
impl PyAsyncTaskHandle {
#[new]
fn py_new(py: Python<'_>) -> PyResult<Self> {
use pyo3_async_runtimes::tokio::get_runtime;
// create communication channel TOWARDS our task
let (h_sender, t_receiver) = mpsc::unbounded_channel::<AsyncTaskMessage>();
// create communication channel FROM our task
let (t_sender, h_receiver) = mpsc::unbounded_channel::<()>();
// perform necessary setup within tokio context - or it crashes
let () = get_runtime().block_on(async { needs_tokio_runtime() });
// spawn tokio task with this thread's task-locals - without this, async callbacks on the new threads will not work!!
_ = get_runtime().spawn_with_scope(py, async move {
async_task(t_sender, t_receiver).await;
});
Ok(Self::new(h_sender, h_receiver))
}
/// NOTE: exceptions in callbacks are silently ignored until end of execution
fn add_sync_callback(
&self,
// #[gen_stub(override_type(
// type_repr="collections.abc.Callable[[], None]",
// imports=("collections.abc")
// ))]
callback: Py<PyAny>,
) -> PyResult<()> {
// blocking call to async method -> can do non-blocking if needed
self.sender()
.send(AsyncTaskMessage::SyncCallback(Box::new(move || {
_ = Python::with_gil(|py| callback.call0(py).write_unraisable_with(py));
})))
.pyerr()?;
Ok(())
}
/// NOTE: exceptions in callbacks are silently ignored until end of execution
fn add_async_callback(
&self,
// #[gen_stub(override_type(
// type_repr="collections.abc.Callable[[], collections.abc.Awaitable[None]]",
// imports=("collections.abc")
// ))]
callback: Py<PyAny>,
) -> PyResult<()> {
// blocking call to async method -> can do non-blocking if needed
self.sender()
.send(AsyncTaskMessage::AsyncCallback(Box::new(move || {
let c = Python::with_gil(|py| callback.clone_ref(py));
async move {
if let Some(f) = Python::with_gil(|py| {
let coroutine = c.call0(py).write_unraisable_with(py)?;
pyo3_async_runtimes::tokio::into_future(coroutine.into_bound(py))
.write_unraisable_with(py)
}) {
_ = f.await.write_unraisable();
}
}
.boxed()
})))
.pyerr()?;
Ok(())
}
async fn receive_unit(&mut self) -> PyResult<()> {
self.receiver
.recv()
.await
.ok_or(PyErr::new::<PyRuntimeError, _>(
"cannot receive unit on closed channel",
))
}
fn drain_units(&mut self) -> PyResult<i32> {
let mut cnt = 0;
loop {
match self.receiver.try_recv() {
Err(TryRecvError::Disconnected) => {
return Err(PyErr::new::<PyRuntimeError, _>(
"cannot receive unit on closed channel",
));
}
Err(TryRecvError::Empty) => return Ok(cnt),
Ok(()) => {
cnt += 1;
continue;
}
}
}
}
// #[gen_stub(skip)]
const fn __traverse__(&self, _visit: PyVisit<'_>) -> Result<(), PyTraverseError> {
Ok(()) // This is needed purely so `__clear__` can work
}
// #[gen_stub(skip)]
fn __clear__(&mut self) {
// TODO: may or may not need to await a "kill-signal" oneshot channel message,
// to ensure that the networking task is done BEFORE exiting the clear function...
// but this may require GIL?? and it may not be safe to call GIL here??
self.sender = None; // Using Option<T> as a trick to force `sender` channel to be dropped
}
}
pub fn examples_submodule(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<PyAsyncTaskHandle>()?;
Ok(())
}

View File

@@ -0,0 +1,47 @@
use crate::ext::ResultExt as _;
use libp2p::identity::Keypair;
use pyo3::types::{PyBytes, PyBytesMethods};
use pyo3::{Bound, PyResult, Python, pyclass, pymethods};
use pyo3_stub_gen::derive::{gen_stub_pyclass, gen_stub_pymethods};
/// Identity keypair of a node.
#[gen_stub_pyclass]
#[pyclass(name = "Keypair", frozen)]
#[repr(transparent)]
pub struct PyKeypair(pub Keypair);
#[gen_stub_pymethods]
#[pymethods]
#[allow(clippy::needless_pass_by_value)]
impl PyKeypair {
/// Generate a new Ed25519 keypair.
#[staticmethod]
fn generate() -> Self {
Self(Keypair::generate_ed25519())
}
/// Construct an Ed25519 keypair from secret key bytes
#[staticmethod]
fn from_bytes(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
let mut bytes = Vec::from(bytes.as_bytes());
Ok(Self(Keypair::ed25519_from_bytes(&mut bytes).pyerr()?))
}
/// Get the secret key bytes underlying the keypair
fn to_bytes<'py>(&self, py: Python<'py>) -> PyResult<Bound<'py, PyBytes>> {
let bytes = self
.0
.clone()
.try_into_ed25519()
.expect("we only use ed25519 keys")
.secret()
.as_ref()
.to_vec();
Ok(PyBytes::new(py, &bytes))
}
/// Convert the `Keypair` into the corresponding `PeerId` string, which we use as our NodeId.
fn to_node_id(&self) -> String {
self.0.public().to_peer_id().to_base58()
}
}

View File

@@ -4,28 +4,14 @@
//!
//!
// enable Rust-unstable features for convenience
#![feature(trait_alias)]
#![feature(tuple_trait)]
#![feature(unboxed_closures)]
// #![feature(stmt_expr_attributes)]
// #![feature(assert_matches)]
// #![feature(async_fn_in_dyn_trait)]
// #![feature(async_for_loop)]
// #![feature(auto_traits)]
// #![feature(negative_impls)]
extern crate core;
mod allow_threading;
mod examples;
pub(crate) mod networking;
pub(crate) mod pylibp2p;
mod ident;
mod networking;
use crate::ident::PyKeypair;
use crate::networking::networking_submodule;
use crate::pylibp2p::ident::ident_submodule;
use crate::pylibp2p::multiaddr::multiaddr_submodule;
use pyo3::prelude::PyModule;
use pyo3::prelude::*;
use pyo3::types::PyModuleMethods;
use pyo3::{Bound, PyResult, pyclass, pymodule};
use pyo3_stub_gen::define_stub_info_gatherer;
@@ -34,24 +20,11 @@ pub(crate) mod r#const {
pub const MPSC_CHANNEL_SIZE: usize = 1024;
}
/// Namespace for all the type/trait aliases used by this crate.
pub(crate) mod alias {
use std::error::Error;
use std::marker::Tuple;
pub trait SendFn<Args: Tuple + Send + 'static, Output> =
Fn<Args, Output = Output> + Send + 'static;
pub type AnyError = Box<dyn Error + Send + Sync + 'static>;
pub type AnyResult<T> = Result<T, AnyError>;
}
/// Namespace for crate-wide extension traits/methods
pub(crate) mod ext {
use crate::allow_threading::AllowThreads;
use extend::ext;
use pyo3::exceptions::{PyConnectionError, PyRuntimeError};
use pyo3::marker::Ungil;
use pyo3::types::PyBytes;
use pyo3::{Py, PyErr, PyResult, Python};
use tokio::runtime::Runtime;
@@ -62,7 +35,7 @@ pub(crate) mod ext {
#[ext(pub, name = ByteArrayExt)]
impl [u8] {
fn pybytes(&self) -> Py<PyBytes> {
Python::with_gil(|py| PyBytes::new(py, self).unbind())
Python::attach(|py| PyBytes::new(py, self).unbind())
}
}
@@ -98,7 +71,7 @@ pub(crate) mod ext {
#[ext(pub, name = PyResultExt)]
impl<T> PyResult<T> {
fn write_unraisable(self) -> Option<T> {
Python::with_gil(|py| self.write_unraisable_with(py))
Python::attach(|py| self.write_unraisable_with(py))
}
fn write_unraisable_with(self, py: Python<'_>) -> Option<T> {
@@ -175,24 +148,6 @@ pub(crate) mod ext {
}
}
pub(crate) mod private {
use std::marker::Sized;
/// Sealed traits support
pub trait Sealed {}
impl<T: ?Sized> Sealed for T {}
}
/// A wrapper around [`Py`] that implements [`Clone`] using [`Python::with_gil`].
#[repr(transparent)]
pub(crate) struct ClonePy<T>(pub Py<T>);
impl<T> Clone for ClonePy<T> {
fn clone(&self) -> Self {
Python::with_gil(|py| Self(self.0.clone_ref(py)))
}
}
/// A Python module implemented in Rust. The name of this function must match
/// the `lib.name` setting in the `Cargo.toml`, else Python will not be able to
/// import the module.
@@ -204,8 +159,7 @@ fn main_module(m: &Bound<'_, PyModule>) -> PyResult<()> {
// TODO: for now this is all NOT a submodule, but figure out how to make the submodule system
// work with maturin, where the types generate correctly, in the right folder, without
// too many importing issues...
ident_submodule(m)?;
multiaddr_submodule(m)?;
m.add_class::<PyKeypair>()?;
networking_submodule(m)?;
// top-level constructs

View File

@@ -8,12 +8,12 @@
use crate::r#const::MPSC_CHANNEL_SIZE;
use crate::ext::{ByteArrayExt as _, FutureExt, PyErrExt as _};
use crate::ext::{ResultExt as _, TokioMpscReceiverExt as _, TokioMpscSenderExt as _};
use crate::ident::PyKeypair;
use crate::pyclass;
use crate::pylibp2p::ident::{PyKeypair, PyPeerId};
use libp2p::futures::StreamExt as _;
use libp2p::gossipsub;
use libp2p::gossipsub::{IdentTopic, Message, MessageId, PublishError};
use libp2p::swarm::SwarmEvent;
use libp2p::{gossipsub, mdns};
use networking::discovery;
use networking::swarm::create_swarm;
use pyo3::prelude::{PyModule, PyModuleMethods as _};
@@ -25,7 +25,7 @@ use tokio::sync::{Mutex, mpsc, oneshot};
mod exception {
use pyo3::types::PyTuple;
use pyo3::{PyErrArguments, exceptions::PyException, prelude::*};
use pyo3::{exceptions::PyException, prelude::*};
use pyo3_stub_gen::derive::*;
#[gen_stub_pyclass]
@@ -119,7 +119,7 @@ struct PyConnectionUpdate {
/// Identity of the peer that we have connected to or disconnected from.
#[pyo3(get)]
peer_id: PyPeerId,
peer_id: String,
/// Remote connection's IPv4 address.
#[pyo3(get)]
@@ -155,7 +155,6 @@ async fn networking_task(
) {
use SwarmEvent::*;
use ToTask::*;
use mdns::Event::*;
use networking::swarm::BehaviourEvent::*;
log::info!("RUST: networking task started");
@@ -252,7 +251,7 @@ async fn networking_task(
// send connection event to channel (or exit if connection closed)
if let Err(e) = connection_update_tx.send(PyConnectionUpdate {
update_type: PyConnectionUpdateType::Connected,
peer_id: PyPeerId(peer_id),
peer_id: peer_id.to_base58(),
remote_ipv4,
remote_tcp_port,
}).await {
@@ -273,7 +272,7 @@ async fn networking_task(
// send disconnection event to channel (or exit if connection closed)
if let Err(e) = connection_update_tx.send(PyConnectionUpdate {
update_type: PyConnectionUpdateType::Disconnected,
peer_id: PyPeerId(peer_id),
peer_id: peer_id.to_base58(),
remote_ipv4,
remote_tcp_port,
}).await {
@@ -485,7 +484,7 @@ impl PyNetworkingHandle {
let (tx, rx) = oneshot::channel();
// send off request to subscribe
let data = Python::with_gil(|py| Vec::from(data.as_bytes(py)));
let data = Python::attach(|py| Vec::from(data.as_bytes(py)));
self.to_task_tx()
.send_py(ToTask::GossipsubPublish {
topic,

View File

@@ -1,159 +0,0 @@
use crate::ext::ResultExt as _;
use libp2p::PeerId;
use libp2p::identity::Keypair;
use pyo3::prelude::{PyBytesMethods as _, PyModule, PyModuleMethods as _};
use pyo3::types::PyBytes;
use pyo3::{Bound, PyResult, Python, pyclass, pymethods};
use pyo3_stub_gen::derive::{gen_stub_pyclass, gen_stub_pymethods};
/// Identity keypair of a node.
#[gen_stub_pyclass]
#[pyclass(name = "Keypair", frozen)]
#[repr(transparent)]
pub struct PyKeypair(pub Keypair);
#[gen_stub_pymethods]
#[pymethods]
#[allow(clippy::needless_pass_by_value)]
impl PyKeypair {
/// Generate a new Ed25519 keypair.
#[staticmethod]
fn generate_ed25519() -> Self {
Self(Keypair::generate_ed25519())
}
/// Generate a new ECDSA keypair.
#[staticmethod]
fn generate_ecdsa() -> Self {
Self(Keypair::generate_ecdsa())
}
/// Generate a new Secp256k1 keypair.
#[staticmethod]
fn generate_secp256k1() -> Self {
Self(Keypair::generate_secp256k1())
}
/// Decode a private key from a protobuf structure and parse it as a `Keypair`.
#[staticmethod]
fn from_protobuf_encoding(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
let bytes = Vec::from(bytes.as_bytes());
Ok(Self(Keypair::from_protobuf_encoding(&bytes).pyerr()?))
}
/// Decode an keypair from a DER-encoded secret key in PKCS#8 `PrivateKeyInfo`
/// format (i.e. unencrypted) as defined in [RFC5208].
///
/// [RFC5208]: https://tools.ietf.org/html/rfc5208#section-5
#[staticmethod]
fn rsa_from_pkcs8(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
let mut bytes = Vec::from(bytes.as_bytes());
Ok(Self(Keypair::rsa_from_pkcs8(&mut bytes).pyerr()?))
}
/// Decode a keypair from a DER-encoded Secp256k1 secret key in an `ECPrivateKey`
/// structure as defined in [RFC5915].
///
/// [RFC5915]: https://tools.ietf.org/html/rfc5915
#[staticmethod]
fn secp256k1_from_der(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
let mut bytes = Vec::from(bytes.as_bytes());
Ok(Self(Keypair::secp256k1_from_der(&mut bytes).pyerr()?))
}
#[staticmethod]
fn ed25519_from_bytes(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
let mut bytes = Vec::from(bytes.as_bytes());
Ok(Self(Keypair::ed25519_from_bytes(&mut bytes).pyerr()?))
}
/// Encode a private key as protobuf structure.
fn to_protobuf_encoding<'py>(&self, py: Python<'py>) -> PyResult<Bound<'py, PyBytes>> {
let bytes = self.0.to_protobuf_encoding().pyerr()?;
Ok(PyBytes::new(py, &bytes))
}
/// Convert the `Keypair` into the corresponding `PeerId`.
fn to_peer_id(&self) -> PyPeerId {
PyPeerId(self.0.public().to_peer_id())
}
// /// Hidden constructor for pickling support. TODO: figure out how to do pickling...
// #[gen_stub(skip)]
// #[new]
// fn py_new(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
// Self::from_protobuf_encoding(bytes)
// }
//
// #[gen_stub(skip)]
// fn __setstate__(&mut self, state: Bound<'_, PyBytes>) -> PyResult<()> {
// *self = Self::from_protobuf_encoding(state)?;
// Ok(())
// }
//
// #[gen_stub(skip)]
// fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult<Bound<'py, PyBytes>> {
// self.to_protobuf_encoding(py)
// }
//
// #[gen_stub(skip)]
// pub fn __getnewargs__<'py>(&self, py: Python<'py>) -> PyResult<(Bound<'py, PyBytes>,)> {
// Ok((self.to_protobuf_encoding(py)?,))
// }
}
/// Identifier of a peer of the network.
///
/// The data is a `CIDv0` compatible multihash of the protobuf encoded public key of the peer
/// as specified in [specs/peer-ids](https://github.com/libp2p/specs/blob/master/peer-ids/peer-ids.md).
#[gen_stub_pyclass]
#[pyclass(name = "PeerId", frozen)]
#[derive(Debug, Clone)]
#[repr(transparent)]
pub struct PyPeerId(pub PeerId);
#[gen_stub_pymethods]
#[pymethods]
#[allow(clippy::needless_pass_by_value)]
impl PyPeerId {
/// Generates a random peer ID from a cryptographically secure PRNG.
///
/// This is useful for randomly walking on a DHT, or for testing purposes.
#[staticmethod]
fn random() -> Self {
Self(PeerId::random())
}
/// Parses a `PeerId` from bytes.
#[staticmethod]
fn from_bytes(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
let bytes = Vec::from(bytes.as_bytes());
Ok(Self(PeerId::from_bytes(&bytes).pyerr()?))
}
/// Returns a raw bytes representation of this `PeerId`.
fn to_bytes<'py>(&self, py: Python<'py>) -> Bound<'py, PyBytes> {
let bytes = self.0.to_bytes();
PyBytes::new(py, &bytes)
}
/// Returns a base-58 encoded string of this `PeerId`.
fn to_base58(&self) -> String {
self.0.to_base58()
}
fn __repr__(&self) -> String {
format!("PeerId({})", self.to_base58())
}
fn __str__(&self) -> String {
self.to_base58()
}
}
pub fn ident_submodule(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<PyKeypair>()?;
m.add_class::<PyPeerId>()?;
Ok(())
}

View File

@@ -1,8 +0,0 @@
//! A module for exposing Rust's libp2p datatypes over Pyo3
//!
//! TODO: right now we are coupled to libp2p's identity, but eventually we want to create our own
//! independent identity type of some kind or another. This may require handshaking.
//!
pub mod ident;
pub mod multiaddr;

View File

@@ -1,81 +0,0 @@
use crate::ext::ResultExt as _;
use libp2p::Multiaddr;
use pyo3::prelude::{PyBytesMethods as _, PyModule, PyModuleMethods as _};
use pyo3::types::PyBytes;
use pyo3::{Bound, PyResult, Python, pyclass, pymethods};
use pyo3_stub_gen::derive::{gen_stub_pyclass, gen_stub_pymethods};
use std::str::FromStr as _;
/// Representation of a Multiaddr.
#[gen_stub_pyclass]
#[pyclass(name = "Multiaddr", frozen)]
#[derive(Debug, Clone)]
#[repr(transparent)]
pub struct PyMultiaddr(pub Multiaddr);
#[gen_stub_pymethods]
#[pymethods]
#[allow(clippy::needless_pass_by_value)]
impl PyMultiaddr {
/// Create a new, empty multiaddress.
#[staticmethod]
fn empty() -> Self {
Self(Multiaddr::empty())
}
/// Create a new, empty multiaddress with the given capacity.
#[staticmethod]
fn with_capacity(n: usize) -> Self {
Self(Multiaddr::with_capacity(n))
}
/// Parse a `Multiaddr` value from its byte slice representation.
#[staticmethod]
fn from_bytes(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
let bytes = Vec::from(bytes.as_bytes());
Ok(Self(Multiaddr::try_from(bytes).pyerr()?))
}
/// Parse a `Multiaddr` value from its string representation.
#[staticmethod]
fn from_string(string: String) -> PyResult<Self> {
Ok(Self(Multiaddr::from_str(&string).pyerr()?))
}
/// Return the length in bytes of this multiaddress.
fn len(&self) -> usize {
self.0.len()
}
/// Returns true if the length of this multiaddress is 0.
fn is_empty(&self) -> bool {
self.0.is_empty()
}
/// Return a copy of this [`Multiaddr`]'s byte representation.
fn to_bytes<'py>(&self, py: Python<'py>) -> Bound<'py, PyBytes> {
let bytes = self.0.to_vec();
PyBytes::new(py, &bytes)
}
/// Convert a Multiaddr to a string.
fn to_string(&self) -> String {
self.0.to_string()
}
#[gen_stub(skip)]
fn __repr__(&self) -> String {
format!("Multiaddr({})", self.0)
}
#[gen_stub(skip)]
fn __str__(&self) -> String {
self.to_string()
}
}
pub fn multiaddr_submodule(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<PyMultiaddr>()?;
Ok(())
}

View File

@@ -19,21 +19,14 @@ either = { workspace = true }
# macro dependencies
extend = { workspace = true }
delegate = { workspace = true }
impl-trait-for-tuples = { workspace = true }
derive_more = { workspace = true }
# async
tokio = { workspace = true, features = ["full"] }
futures = { workspace = true }
futures-lite = { workspace = true }
futures-timer = { workspace = true }
# utility dependencies
util = { workspace = true }
thiserror = { workspace = true }
#internment = { workspace = true }
#recursion = { workspace = true }
#generativity = { workspace = true }
#itertools = { workspace = true }
tracing-subscriber = { version = "0.3.19", features = ["default", "env-filter"] }
keccak-const = { workspace = true }
@@ -41,4 +34,4 @@ keccak-const = { workspace = true }
log = { workspace = true }
# networking
libp2p = { workspace = true, features = ["full"] }
libp2p = { workspace = true, features = ["full"] }

View File

@@ -1,4 +1,4 @@
use futures::stream::StreamExt as _;
use futures_lite::StreamExt;
use libp2p::{gossipsub, identity, swarm::SwarmEvent};
use networking::{discovery, swarm};
use tokio::{io, io::AsyncBufReadExt as _, select};
@@ -38,19 +38,19 @@ async fn main() {
println!("Publish error: {e:?}");
}
}
event = swarm.select_next_some() => match event {
event = swarm.next() => match event {
// on gossipsub incoming
SwarmEvent::Behaviour(swarm::BehaviourEvent::Gossipsub(gossipsub::Event::Message {
Some(SwarmEvent::Behaviour(swarm::BehaviourEvent::Gossipsub(gossipsub::Event::Message {
propagation_source: peer_id,
message_id: id,
message,
})) => println!(
}))) => println!(
"\n\nGot message: '{}' with id: {id} from peer: {peer_id}\n\n",
String::from_utf8_lossy(&message.data),
),
// on discovery
SwarmEvent::Behaviour(swarm::BehaviourEvent::Discovery(e)) => match e {
Some(SwarmEvent::Behaviour(swarm::BehaviourEvent::Discovery(e)) )=> match e {
discovery::Event::ConnectionEstablished {
peer_id, connection_id, remote_ip, remote_tcp_port
} => {
@@ -64,7 +64,7 @@ async fn main() {
}
// ignore outgoing errors: those are normal
e@SwarmEvent::OutgoingConnectionError { .. } => { log::debug!("Outgoing connection error: {e:?}"); }
e@Some(SwarmEvent::OutgoingConnectionError { .. }) => { log::debug!("Outgoing connection error: {e:?}"); }
// otherwise log any other event
e => { log::info!("Other event {e:?}"); }

View File

@@ -1,127 +0,0 @@
// Copyright 2018 Parity Technologies (UK) Ltd.
//
// Permission is hereby granted, free of charge, to any person obtaining a
// copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation
// the rights to use, copy, modify, merge, publish, distribute, sublicense,
// and/or sell copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
// DEALINGS IN THE SOFTWARE.
use futures::stream::StreamExt;
use libp2p::{
gossipsub, mdns, noise,
swarm::{NetworkBehaviour, SwarmEvent},
tcp, yamux,
};
use std::time::Duration;
use std::{error::Error, hash::Hash};
use tokio::{io, io::AsyncBufReadExt, select};
use tracing_subscriber::EnvFilter;
// We create a custom network behaviour that combines Gossipsub and Mdns.
#[derive(NetworkBehaviour)]
struct MyBehaviour {
gossipsub: gossipsub::Behaviour,
mdns: mdns::tokio::Behaviour,
}
#[tokio::main]
async fn main() -> Result<(), Box<dyn Error>> {
let _ = tracing_subscriber::fmt()
.with_env_filter(EnvFilter::from_default_env())
.try_init();
let mut swarm = libp2p::SwarmBuilder::with_new_identity()
.with_tokio()
.with_tcp(
tcp::Config::default(),
noise::Config::new,
yamux::Config::default,
)?
.with_behaviour(|key| {
// Set a custom gossipsub configuration
let gossipsub_config = gossipsub::ConfigBuilder::default()
.heartbeat_interval(Duration::from_secs(10))
.validation_mode(gossipsub::ValidationMode::Strict) // This sets the kind of message validation. The default is Strict (enforce message signing)
.build()
.map_err(io::Error::other)?; // Temporary hack because `build` does not return a proper `std::error::Error`.
// build a gossipsub network behaviour
let gossipsub = gossipsub::Behaviour::new(
gossipsub::MessageAuthenticity::Signed(key.clone()),
gossipsub_config,
)?;
let mdns =
mdns::tokio::Behaviour::new(mdns::Config::default(), key.public().to_peer_id())?;
Ok(MyBehaviour { gossipsub, mdns })
})?
.build();
println!("Running swarm with identity {}", swarm.local_peer_id());
// Create a Gossipsub topic
let topic = gossipsub::IdentTopic::new("test-net");
// subscribes to our topic
swarm.behaviour_mut().gossipsub.subscribe(&topic)?;
// Read full lines from stdin
let mut stdin = io::BufReader::new(io::stdin()).lines();
// Listen on all interfaces and whatever port the OS assigns
swarm.listen_on("/ip4/0.0.0.0/tcp/0".parse()?)?;
println!("Enter messages via STDIN and they will be sent to connected peers using Gossipsub");
// Kick it off
loop {
select! {
Ok(Some(line)) = stdin.next_line() => {
if let Err(e) = swarm
.behaviour_mut().gossipsub
.publish(topic.clone(), line.as_bytes()) {
println!("Publish error: {e:?}");
}
}
event = swarm.select_next_some() => match event {
SwarmEvent::Behaviour(MyBehaviourEvent::Mdns(mdns::Event::Discovered(list))) => {
for (peer_id, multiaddr) in list {
println!("mDNS discovered a new peer: {peer_id} on {multiaddr}");
swarm.behaviour_mut().gossipsub.add_explicit_peer(&peer_id);
}
},
SwarmEvent::Behaviour(MyBehaviourEvent::Mdns(mdns::Event::Expired(list))) => {
for (peer_id, multiaddr) in list {
println!("mDNS discover peer has expired: {peer_id} on {multiaddr}");
swarm.behaviour_mut().gossipsub.remove_explicit_peer(&peer_id);
}
},
SwarmEvent::Behaviour(MyBehaviourEvent::Gossipsub(gossipsub::Event::Message {
propagation_source: peer_id,
message_id: id,
message,
})) => println!(
"Got message: '{}' with id: {id} from peer: {peer_id}",
String::from_utf8_lossy(&message.data),
),
SwarmEvent::NewListenAddr { address, .. } => {
println!("Local node is listening on {address}");
}
e => {
println!("Other swarm event: {:?}", e);
}
}
}
}
}

View File

@@ -1,8 +1,7 @@
use crate::ext::MultiaddrExt;
use crate::keep_alive;
use delegate::delegate;
use either::Either;
use futures::FutureExt;
use futures_lite::FutureExt;
use futures_timer::Delay;
use libp2p::core::transport::PortUse;
use libp2p::core::{ConnectedPoint, Endpoint};
@@ -363,7 +362,7 @@ impl NetworkBehaviour for Behaviour {
}
// retry connecting to all mDNS peers periodically (fails safely if already connected)
if self.retry_delay.poll_unpin(cx).is_ready() {
if self.retry_delay.poll(cx).is_ready() {
for (p, mas) in self.mdns_discovered.clone() {
for ma in mas {
self.dial(p, ma)

View File

@@ -1,44 +0,0 @@
use delegate::delegate;
use libp2p::swarm::handler::ConnectionEvent;
use libp2p::swarm::{ConnectionHandlerEvent, SubstreamProtocol, dummy, handler};
use std::task::{Context, Poll};
/// An implementation of [`ConnectionHandler`] that doesn't handle any protocols, but it keeps
/// the connection alive.
#[derive(Clone)]
#[repr(transparent)]
pub struct ConnectionHandler(dummy::ConnectionHandler);
impl ConnectionHandler {
pub fn new() -> Self {
ConnectionHandler(dummy::ConnectionHandler)
}
}
impl handler::ConnectionHandler for ConnectionHandler {
// delegate types and implementation mostly to dummy handler
type FromBehaviour = <dummy::ConnectionHandler as handler::ConnectionHandler>::FromBehaviour;
type ToBehaviour = <dummy::ConnectionHandler as handler::ConnectionHandler>::ToBehaviour;
type InboundProtocol =
<dummy::ConnectionHandler as handler::ConnectionHandler>::InboundProtocol;
type OutboundProtocol =
<dummy::ConnectionHandler as handler::ConnectionHandler>::OutboundProtocol;
type InboundOpenInfo =
<dummy::ConnectionHandler as handler::ConnectionHandler>::InboundOpenInfo;
type OutboundOpenInfo =
<dummy::ConnectionHandler as handler::ConnectionHandler>::OutboundOpenInfo;
delegate! {
to self.0 {
fn listen_protocol(&self) -> SubstreamProtocol<Self::InboundProtocol, Self::InboundOpenInfo>;
fn poll(&mut self, cx: &mut Context<'_>) -> Poll<ConnectionHandlerEvent<Self::OutboundProtocol, Self::OutboundOpenInfo, Self::ToBehaviour>>;
fn on_behaviour_event(&mut self, event: Self::FromBehaviour);
fn on_connection_event(&mut self, event: ConnectionEvent<Self::InboundProtocol, Self::OutboundProtocol, Self::InboundOpenInfo, Self::OutboundOpenInfo>);
}
}
// specifically override this to force connection to stay alive
fn connection_keep_alive(&self) -> bool {
true
}
}

View File

@@ -3,19 +3,7 @@
//! this is here as a placeholder documentation
//!
//!
// enable Rust-unstable features for convenience
#![feature(trait_alias)]
// #![feature(stmt_expr_attributes)]
// #![feature(unboxed_closures)]
// #![feature(assert_matches)]
// #![feature(async_fn_in_dyn_trait)]
// #![feature(async_for_loop)]
// #![feature(auto_traits)]
// #![feature(negative_impls)]
pub mod discovery;
pub mod keep_alive;
pub mod swarm;
/// Namespace for all the type/trait aliases used by this crate.
@@ -54,11 +42,3 @@ pub(crate) mod ext {
}
}
}
pub(crate) mod private {
#![allow(dead_code)]
/// Sealed traits support
pub trait Sealed {}
impl<T: ?Sized> Sealed for T {}
}

View File

@@ -31,7 +31,7 @@ pub fn create_swarm(keypair: identity::Keypair) -> alias::AnyResult<Swarm> {
mod transport {
use crate::alias;
use crate::swarm::{NETWORK_VERSION, OVERRIDE_VERSION_ENV_VAR};
use futures::{AsyncRead, AsyncWrite};
use futures_lite::{AsyncRead, AsyncWrite};
use keccak_const::Sha3_256;
use libp2p::core::muxing;
use libp2p::core::transport::Boxed;

View File

@@ -1,11 +1,10 @@
{ inputs, ... }:
{
perSystem =
{ config, self', inputs', pkgs, lib, ... }:
{ inputs', pkgs, lib, ... }:
let
# Fenix nightly toolchain with all components
fenixPkgs = inputs'.fenix.packages;
rustToolchain = fenixPkgs.complete.withComponents [
rustToolchain = inputs'.fenix.packages.stable.withComponents [
"cargo"
"rustc"
"clippy"

View File

@@ -1,2 +0,0 @@
[toolchain]
channel = "nightly"

View File

@@ -14,6 +14,7 @@ from exo.download.download_utils import (
map_repo_download_progress_to_download_progress_data,
)
from exo.download.shard_downloader import ShardDownloader
from exo.shared.constants import EXO_MODELS_DIR
from exo.shared.models.model_cards import ModelId
from exo.shared.types.commands import (
CancelDownload,
@@ -46,6 +47,7 @@ class DownloadCoordinator:
download_command_receiver: Receiver[ForwarderDownloadCommand]
local_event_sender: Sender[ForwarderEvent]
event_index_counter: Iterator[int]
offline: bool = False
# Local state
download_status: dict[ModelId, DownloadProgress] = field(default_factory=dict)
@@ -61,8 +63,13 @@ class DownloadCoordinator:
def __post_init__(self) -> None:
self.event_sender, self.event_receiver = channel[Event]()
if self.offline:
self.shard_downloader.set_internet_connection(False)
self.shard_downloader.on_progress(self._download_progress_callback)
def _model_dir(self, model_id: ModelId) -> str:
return str(EXO_MODELS_DIR / model_id.normalize())
async def _download_progress_callback(
self, callback_shard: ShardMetadata, progress: RepoDownloadProgress
) -> None:
@@ -74,6 +81,7 @@ class DownloadCoordinator:
shard_metadata=callback_shard,
node_id=self.node_id,
total_bytes=progress.total_bytes,
model_directory=self._model_dir(model_id),
)
self.download_status[model_id] = completed
await self.event_sender.send(
@@ -93,6 +101,7 @@ class DownloadCoordinator:
download_progress=map_repo_download_progress_to_download_progress_data(
progress
),
model_directory=self._model_dir(model_id),
)
self.download_status[model_id] = ongoing
await self.event_sender.send(
@@ -101,13 +110,17 @@ class DownloadCoordinator:
self._last_progress_time[model_id] = current_time()
async def run(self) -> None:
logger.info("Starting DownloadCoordinator")
self._test_internet_connection()
logger.info(
f"Starting DownloadCoordinator{' (offline mode)' if self.offline else ''}"
)
if not self.offline:
self._test_internet_connection()
async with self._tg as tg:
tg.start_soon(self._command_processor)
tg.start_soon(self._forward_events)
tg.start_soon(self._emit_existing_download_progress)
tg.start_soon(self._check_internet_connection)
if not self.offline:
tg.start_soon(self._check_internet_connection)
def _test_internet_connection(self) -> None:
try:
@@ -170,7 +183,11 @@ class DownloadCoordinator:
return
# Emit pending status
progress = DownloadPending(shard_metadata=shard, node_id=self.node_id)
progress = DownloadPending(
shard_metadata=shard,
node_id=self.node_id,
model_directory=self._model_dir(model_id),
)
self.download_status[model_id] = progress
await self.event_sender.send(NodeDownloadProgress(download_progress=progress))
@@ -184,6 +201,7 @@ class DownloadCoordinator:
shard_metadata=shard,
node_id=self.node_id,
total_bytes=initial_progress.total_bytes,
model_directory=self._model_dir(model_id),
)
self.download_status[model_id] = completed
await self.event_sender.send(
@@ -191,6 +209,20 @@ class DownloadCoordinator:
)
return
if self.offline:
logger.warning(
f"Offline mode: model {model_id} is not fully available locally, cannot download"
)
failed = DownloadFailed(
shard_metadata=shard,
node_id=self.node_id,
error_message=f"Model files not found locally in offline mode: {model_id}",
model_directory=self._model_dir(model_id),
)
self.download_status[model_id] = failed
await self.event_sender.send(NodeDownloadProgress(download_progress=failed))
return
# Start actual download
self._start_download_task(shard, initial_progress)
@@ -206,6 +238,7 @@ class DownloadCoordinator:
download_progress=map_repo_download_progress_to_download_progress_data(
initial_progress
),
model_directory=self._model_dir(model_id),
)
self.download_status[model_id] = status
self.event_sender.send_nowait(NodeDownloadProgress(download_progress=status))
@@ -219,6 +252,7 @@ class DownloadCoordinator:
shard_metadata=shard,
node_id=self.node_id,
error_message=str(e),
model_directory=self._model_dir(model_id),
)
self.download_status[model_id] = failed
await self.event_sender.send(
@@ -253,6 +287,7 @@ class DownloadCoordinator:
pending = DownloadPending(
shard_metadata=current_status.shard_metadata,
node_id=self.node_id,
model_directory=self._model_dir(model_id),
)
await self.event_sender.send(
NodeDownloadProgress(download_progress=pending)
@@ -295,11 +330,18 @@ class DownloadCoordinator:
node_id=self.node_id,
shard_metadata=progress.shard,
total_bytes=progress.total_bytes,
model_directory=self._model_dir(
progress.shard.model_card.model_id
),
)
elif progress.status in ["in_progress", "not_started"]:
if progress.downloaded_bytes_this_session.in_bytes == 0:
status = DownloadPending(
node_id=self.node_id, shard_metadata=progress.shard
node_id=self.node_id,
shard_metadata=progress.shard,
model_directory=self._model_dir(
progress.shard.model_card.model_id
),
)
else:
status = DownloadOngoing(
@@ -308,6 +350,9 @@ class DownloadCoordinator:
download_progress=map_repo_download_progress_to_download_progress_data(
progress
),
model_directory=self._model_dir(
progress.shard.model_card.model_id
),
)
else:
continue

View File

@@ -448,12 +448,13 @@ async def download_file_with_retry(
target_dir: Path,
on_progress: Callable[[int, int, bool], None] = lambda _, __, ___: None,
on_connection_lost: Callable[[], None] = lambda: None,
skip_internet: bool = False,
) -> Path:
n_attempts = 3
for attempt in range(n_attempts):
try:
return await _download_file(
model_id, revision, path, target_dir, on_progress
model_id, revision, path, target_dir, on_progress, skip_internet
)
except HuggingFaceAuthenticationError:
raise
@@ -487,10 +488,14 @@ async def _download_file(
path: str,
target_dir: Path,
on_progress: Callable[[int, int, bool], None] = lambda _, __, ___: None,
skip_internet: bool = False,
) -> Path:
target_path = target_dir / path
if await aios.path.exists(target_path):
if skip_internet:
return target_path
local_size = (await aios.stat(target_path)).st_size
# Try to verify against remote, but allow offline operation
@@ -510,6 +515,11 @@ async def _download_file(
)
return target_path
if skip_internet:
raise FileNotFoundError(
f"File {path} not found locally and cannot download in offline mode"
)
await aios.makedirs((target_dir / path).parent, exist_ok=True)
length, etag = await file_meta(model_id, revision, path)
remote_hash = etag[:-5] if etag.endswith("-gzip") else etag
@@ -814,6 +824,7 @@ async def download_shard(
file, curr_bytes, total_bytes, is_renamed
),
on_connection_lost=on_connection_lost,
skip_internet=skip_internet,
)
if not skip_download:

View File

@@ -0,0 +1,230 @@
"""Tests for offline/air-gapped mode."""
from collections.abc import AsyncIterator
from pathlib import Path
from unittest.mock import AsyncMock, patch
import aiofiles
import aiofiles.os as aios
import pytest
from exo.download.download_utils import (
_download_file, # pyright: ignore[reportPrivateUsage]
download_file_with_retry,
fetch_file_list_with_cache,
)
from exo.shared.types.common import ModelId
from exo.shared.types.worker.downloads import FileListEntry
@pytest.fixture
def model_id() -> ModelId:
return ModelId("test-org/test-model")
@pytest.fixture
async def temp_models_dir(tmp_path: Path) -> AsyncIterator[Path]:
models_dir = tmp_path / "models"
await aios.makedirs(models_dir, exist_ok=True)
with patch("exo.download.download_utils.EXO_MODELS_DIR", models_dir):
yield models_dir
class TestDownloadFileOffline:
"""Tests for _download_file with skip_internet=True."""
async def test_returns_local_file_without_http_verification(
self, model_id: ModelId, tmp_path: Path
) -> None:
"""When skip_internet=True and file exists locally, return it immediately
without making any HTTP calls (no file_meta verification)."""
target_dir = tmp_path / "downloads"
await aios.makedirs(target_dir, exist_ok=True)
local_file = target_dir / "model.safetensors"
async with aiofiles.open(local_file, "wb") as f:
await f.write(b"model weights data")
with patch(
"exo.download.download_utils.file_meta",
new_callable=AsyncMock,
) as mock_file_meta:
result = await _download_file(
model_id,
"main",
"model.safetensors",
target_dir,
skip_internet=True,
)
assert result == local_file
mock_file_meta.assert_not_called()
async def test_raises_file_not_found_for_missing_file(
self, model_id: ModelId, tmp_path: Path
) -> None:
"""When skip_internet=True and file does NOT exist locally,
raise FileNotFoundError instead of attempting download."""
target_dir = tmp_path / "downloads"
await aios.makedirs(target_dir, exist_ok=True)
with pytest.raises(FileNotFoundError, match="offline mode"):
await _download_file(
model_id,
"main",
"missing_model.safetensors",
target_dir,
skip_internet=True,
)
async def test_returns_local_file_in_subdirectory(
self, model_id: ModelId, tmp_path: Path
) -> None:
"""When skip_internet=True and file exists in a subdirectory,
return it without HTTP calls."""
target_dir = tmp_path / "downloads"
subdir = target_dir / "transformer"
await aios.makedirs(subdir, exist_ok=True)
local_file = subdir / "diffusion_pytorch_model.safetensors"
async with aiofiles.open(local_file, "wb") as f:
await f.write(b"weights")
with patch(
"exo.download.download_utils.file_meta",
new_callable=AsyncMock,
) as mock_file_meta:
result = await _download_file(
model_id,
"main",
"transformer/diffusion_pytorch_model.safetensors",
target_dir,
skip_internet=True,
)
assert result == local_file
mock_file_meta.assert_not_called()
class TestDownloadFileWithRetryOffline:
"""Tests for download_file_with_retry with skip_internet=True."""
async def test_propagates_skip_internet_to_download_file(
self, model_id: ModelId, tmp_path: Path
) -> None:
"""Verify skip_internet is passed through to _download_file."""
target_dir = tmp_path / "downloads"
await aios.makedirs(target_dir, exist_ok=True)
local_file = target_dir / "config.json"
async with aiofiles.open(local_file, "wb") as f:
await f.write(b'{"model_type": "qwen2"}')
with patch(
"exo.download.download_utils.file_meta",
new_callable=AsyncMock,
) as mock_file_meta:
result = await download_file_with_retry(
model_id,
"main",
"config.json",
target_dir,
skip_internet=True,
)
assert result == local_file
mock_file_meta.assert_not_called()
async def test_file_not_found_does_not_retry(
self, model_id: ModelId, tmp_path: Path
) -> None:
"""FileNotFoundError from offline mode should not trigger retries."""
target_dir = tmp_path / "downloads"
await aios.makedirs(target_dir, exist_ok=True)
with pytest.raises(FileNotFoundError):
await download_file_with_retry(
model_id,
"main",
"nonexistent.safetensors",
target_dir,
skip_internet=True,
)
class TestFetchFileListOffline:
"""Tests for fetch_file_list_with_cache with skip_internet=True."""
async def test_uses_cached_file_list(
self, model_id: ModelId, temp_models_dir: Path
) -> None:
"""When skip_internet=True and cache file exists, use it without network."""
from pydantic import TypeAdapter
cache_dir = temp_models_dir / "caches" / model_id.normalize()
await aios.makedirs(cache_dir, exist_ok=True)
cached_list = [
FileListEntry(type="file", path="model.safetensors", size=1000),
FileListEntry(type="file", path="config.json", size=200),
]
cache_file = cache_dir / f"{model_id.normalize()}--main--file_list.json"
async with aiofiles.open(cache_file, "w") as f:
await f.write(
TypeAdapter(list[FileListEntry]).dump_json(cached_list).decode()
)
with patch(
"exo.download.download_utils.fetch_file_list_with_retry",
new_callable=AsyncMock,
) as mock_fetch:
result = await fetch_file_list_with_cache(
model_id, "main", skip_internet=True
)
assert result == cached_list
mock_fetch.assert_not_called()
async def test_falls_back_to_local_directory_scan(
self, model_id: ModelId, temp_models_dir: Path
) -> None:
"""When skip_internet=True and no cache but local files exist,
build file list from local directory."""
import json
model_dir = temp_models_dir / model_id.normalize()
await aios.makedirs(model_dir, exist_ok=True)
async with aiofiles.open(model_dir / "config.json", "w") as f:
await f.write('{"model_type": "qwen2"}')
index_data = {
"metadata": {},
"weight_map": {"model.layers.0.weight": "model.safetensors"},
}
async with aiofiles.open(model_dir / "model.safetensors.index.json", "w") as f:
await f.write(json.dumps(index_data))
async with aiofiles.open(model_dir / "model.safetensors", "wb") as f:
await f.write(b"x" * 500)
with patch(
"exo.download.download_utils.fetch_file_list_with_retry",
new_callable=AsyncMock,
) as mock_fetch:
result = await fetch_file_list_with_cache(
model_id, "main", skip_internet=True
)
mock_fetch.assert_not_called()
paths = {entry.path for entry in result}
assert "config.json" in paths
assert "model.safetensors" in paths
async def test_raises_when_no_cache_and_no_local_files(
self, model_id: ModelId, temp_models_dir: Path
) -> None:
"""When skip_internet=True and neither cache nor local files exist,
raise FileNotFoundError."""
with pytest.raises(FileNotFoundError, match="No internet"):
await fetch_file_list_with_cache(model_id, "main", skip_internet=True)

View File

@@ -39,12 +39,13 @@ class Node:
node_id: NodeId
event_index_counter: Iterator[int]
offline: bool
_tg: TaskGroup = field(init=False, default_factory=anyio.create_task_group)
@classmethod
async def create(cls, args: "Args") -> "Self":
keypair = get_node_id_keypair()
node_id = NodeId(keypair.to_peer_id().to_base58())
node_id = NodeId(keypair.to_node_id())
session_id = SessionId(master_node_id=node_id, election_clock=0)
router = Router.create(keypair)
await router.register_topic(topics.GLOBAL_EVENTS)
@@ -68,6 +69,7 @@ class Node:
download_command_receiver=router.receiver(topics.DOWNLOAD_COMMANDS),
local_event_sender=router.sender(topics.LOCAL_EVENTS),
event_index_counter=event_index_counter,
offline=args.offline,
)
else:
download_coordinator = None
@@ -132,10 +134,13 @@ class Node:
api,
node_id,
event_index_counter,
args.offline,
)
async def run(self):
async with self._tg as tg:
signal.signal(signal.SIGINT, lambda _, __: self.shutdown())
signal.signal(signal.SIGTERM, lambda _, __: self.shutdown())
tg.start_soon(self.router.run)
tg.start_soon(self.election.run)
if self.download_coordinator:
@@ -147,8 +152,6 @@ class Node:
if self.api:
tg.start_soon(self.api.run)
tg.start_soon(self._elect_loop)
signal.signal(signal.SIGINT, lambda _, __: self.shutdown())
signal.signal(signal.SIGTERM, lambda _, __: self.shutdown())
def shutdown(self):
# if this is our second call to shutdown, just sys.exit
@@ -222,6 +225,7 @@ class Node:
),
local_event_sender=self.router.sender(topics.LOCAL_EVENTS),
event_index_counter=self.event_index_counter,
offline=self.offline,
)
self._tg.start_soon(self.download_coordinator.run)
if self.worker:
@@ -260,6 +264,9 @@ def main():
logger.info("Starting EXO")
logger.info(f"EXO_LIBP2P_NAMESPACE: {os.getenv('EXO_LIBP2P_NAMESPACE')}")
if args.offline:
logger.info("Running in OFFLINE mode — no internet checks, local models only")
# Set FAST_SYNCH override env var for runner subprocesses
if args.fast_synch is True:
os.environ["EXO_FAST_SYNCH"] = "on"
@@ -282,6 +289,7 @@ class Args(CamelCaseModel):
tb_only: bool = False
no_worker: bool = False
no_downloads: bool = False
offline: bool = False
fast_synch: bool | None = None # None = auto, True = force on, False = force off
@classmethod
@@ -329,6 +337,11 @@ class Args(CamelCaseModel):
action="store_true",
help="Disable the download coordinator (node won't download models)",
)
parser.add_argument(
"--offline",
action="store_true",
help="Run in offline/air-gapped mode: skip internet checks, use only pre-staged local models",
)
fast_synch_group = parser.add_mutually_exclusive_group()
fast_synch_group.add_argument(
"--fast-synch",

View File

@@ -17,6 +17,7 @@ from exo.shared.types.api import (
LogprobsContentItem,
StreamingChoiceResponse,
ToolCall,
Usage,
)
from exo.shared.types.chunks import ErrorChunk, TokenChunk, ToolCallChunk
from exo.shared.types.common import CommandId
@@ -125,6 +126,8 @@ async def generate_chat_stream(
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> AsyncGenerator[str, None]:
"""Generate Chat Completions API streaming events from chunks."""
last_usage: Usage | None = None
async for chunk in chunk_stream:
if isinstance(chunk, ErrorChunk):
error_response = ErrorResponse(
@@ -138,6 +141,8 @@ async def generate_chat_stream(
yield "data: [DONE]\n\n"
return
last_usage = chunk.usage or last_usage
if isinstance(chunk, ToolCallChunk):
tool_call_deltas = [
ToolCall(
@@ -161,12 +166,15 @@ async def generate_chat_stream(
finish_reason="tool_calls",
)
],
usage=last_usage,
)
yield f"data: {tool_response.model_dump_json()}\n\n"
yield "data: [DONE]\n\n"
return
chunk_response = chunk_to_response(chunk, command_id)
if chunk.finish_reason is not None:
chunk_response = chunk_response.model_copy(update={"usage": last_usage})
yield f"data: {chunk_response.model_dump_json()}\n\n"
if chunk.finish_reason is not None:
@@ -177,6 +185,8 @@ async def collect_chat_response(
command_id: CommandId,
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> AsyncGenerator[str]:
# This is an AsyncGenerator[str] rather than returning a ChatCompletionReponse because
# FastAPI handles the cancellation better but wouldn't auto-serialize for some reason
"""Collect all token chunks and return a single ChatCompletionResponse."""
text_parts: list[str] = []
tool_calls: list[ToolCall] = []
@@ -184,6 +194,7 @@ async def collect_chat_response(
model: str | None = None
finish_reason: FinishReason | None = None
error_message: str | None = None
last_usage: Usage | None = None
async for chunk in chunk_stream:
if isinstance(chunk, ErrorChunk):
@@ -193,6 +204,8 @@ async def collect_chat_response(
if model is None:
model = chunk.model
last_usage = chunk.usage or last_usage
if isinstance(chunk, TokenChunk):
text_parts.append(chunk.text)
if chunk.logprob is not None:
@@ -241,5 +254,6 @@ async def collect_chat_response(
finish_reason=finish_reason,
)
],
usage=last_usage,
).model_dump_json()
return

View File

@@ -4,7 +4,7 @@ import json
from collections.abc import AsyncGenerator
from typing import Any
from exo.shared.types.api import FinishReason
from exo.shared.types.api import FinishReason, Usage
from exo.shared.types.chunks import ErrorChunk, TokenChunk, ToolCallChunk
from exo.shared.types.claude_api import (
ClaudeContentBlock,
@@ -161,12 +161,14 @@ async def collect_claude_response(
command_id: CommandId,
model: str,
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> ClaudeMessagesResponse:
) -> AsyncGenerator[str]:
# This is an AsyncGenerator[str] rather than returning a ChatCompletionReponse because
# FastAPI handles the cancellation better but wouldn't auto-serialize for some reason
"""Collect all token chunks and return a single ClaudeMessagesResponse."""
text_parts: list[str] = []
tool_use_blocks: list[ClaudeToolUseBlock] = []
stop_reason: ClaudeStopReason | None = None
last_stats = None
last_usage: Usage | None = None
error_message: str | None = None
async for chunk in chunk_stream:
@@ -174,6 +176,8 @@ async def collect_claude_response(
error_message = chunk.error_message or "Internal server error"
break
last_usage = chunk.usage or last_usage
if isinstance(chunk, ToolCallChunk):
for tool in chunk.tool_calls:
tool_use_blocks.append(
@@ -183,12 +187,10 @@ async def collect_claude_response(
input=json.loads(tool.arguments), # pyright: ignore[reportAny]
)
)
last_stats = chunk.stats or last_stats
stop_reason = "tool_use"
continue
text_parts.append(chunk.text)
last_stats = chunk.stats or last_stats
if chunk.finish_reason is not None:
stop_reason = finish_reason_to_claude_stop_reason(chunk.finish_reason)
@@ -208,11 +210,11 @@ async def collect_claude_response(
if not content:
content.append(ClaudeTextBlock(text=""))
# Use actual usage data from stats if available
input_tokens = last_stats.prompt_tokens if last_stats else 0
output_tokens = last_stats.generation_tokens if last_stats else 0
# Use actual usage data if available
input_tokens = last_usage.prompt_tokens if last_usage else 0
output_tokens = last_usage.completion_tokens if last_usage else 0
return ClaudeMessagesResponse(
yield ClaudeMessagesResponse(
id=f"msg_{command_id}",
model=model,
content=content,
@@ -221,7 +223,8 @@ async def collect_claude_response(
input_tokens=input_tokens,
output_tokens=output_tokens,
),
)
).model_dump_json()
return
async def generate_claude_stream(
@@ -249,7 +252,7 @@ async def generate_claude_stream(
output_tokens = 0
stop_reason: ClaudeStopReason | None = None
last_stats = None
last_usage: Usage | None = None
next_block_index = 1 # text block is 0, tool blocks start at 1
async for chunk in chunk_stream:
@@ -257,8 +260,9 @@ async def generate_claude_stream(
# Close text block and bail
break
last_usage = chunk.usage or last_usage
if isinstance(chunk, ToolCallChunk):
last_stats = chunk.stats or last_stats
stop_reason = "tool_use"
# Emit tool_use content blocks
@@ -290,7 +294,6 @@ async def generate_claude_stream(
continue
output_tokens += 1 # Count each chunk as one token
last_stats = chunk.stats or last_stats
# content_block_delta
delta_event = ClaudeContentBlockDeltaEvent(
@@ -302,9 +305,9 @@ async def generate_claude_stream(
if chunk.finish_reason is not None:
stop_reason = finish_reason_to_claude_stop_reason(chunk.finish_reason)
# Use actual token count from stats if available
if last_stats is not None:
output_tokens = last_stats.generation_tokens
# Use actual token count from usage if available
if last_usage is not None:
output_tokens = last_usage.completion_tokens
# content_block_stop for text block
block_stop = ClaudeContentBlockStopEvent(index=0)

View File

@@ -4,6 +4,7 @@ from collections.abc import AsyncGenerator
from itertools import count
from typing import Any
from exo.shared.types.api import Usage
from exo.shared.types.chunks import ErrorChunk, TokenChunk, ToolCallChunk
from exo.shared.types.common import CommandId
from exo.shared.types.openai_responses import (
@@ -121,13 +122,15 @@ async def collect_responses_response(
command_id: CommandId,
model: str,
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> ResponsesResponse:
) -> AsyncGenerator[str]:
# This is an AsyncGenerator[str] rather than returning a ChatCompletionReponse because
# FastAPI handles the cancellation better but wouldn't auto-serialize for some reason
"""Collect all token chunks and return a single ResponsesResponse."""
response_id = f"resp_{command_id}"
item_id = f"item_{command_id}"
accumulated_text = ""
function_call_items: list[ResponseFunctionCallItem] = []
last_stats = None
last_usage: Usage | None = None
error_message: str | None = None
async for chunk in chunk_stream:
@@ -135,32 +138,32 @@ async def collect_responses_response(
error_message = chunk.error_message or "Internal server error"
break
last_usage = chunk.usage or last_usage
if isinstance(chunk, ToolCallChunk):
for tool in chunk.tool_calls:
function_call_items.append(
ResponseFunctionCallItem(
id=f"fc_{tool.id}",
call_id=f"call_{tool.id}",
id=tool.id,
call_id=tool.id,
name=tool.name,
arguments=tool.arguments,
)
)
last_stats = chunk.stats or last_stats
continue
accumulated_text += chunk.text
last_stats = chunk.stats or last_stats
if error_message is not None:
raise ValueError(error_message)
# Create usage from stats if available
# Create usage from usage data if available
usage = None
if last_stats is not None:
if last_usage is not None:
usage = ResponseUsage(
input_tokens=last_stats.prompt_tokens,
output_tokens=last_stats.generation_tokens,
total_tokens=last_stats.prompt_tokens + last_stats.generation_tokens,
input_tokens=last_usage.prompt_tokens,
output_tokens=last_usage.completion_tokens,
total_tokens=last_usage.total_tokens,
)
output: list[ResponseItem] = [
@@ -172,14 +175,15 @@ async def collect_responses_response(
]
output.extend(function_call_items)
return ResponsesResponse(
yield ResponsesResponse(
id=response_id,
model=model,
status="completed",
output=output,
output_text=accumulated_text,
usage=usage,
)
).model_dump_json()
return
async def generate_responses_stream(
@@ -235,15 +239,16 @@ async def generate_responses_stream(
accumulated_text = ""
function_call_items: list[ResponseFunctionCallItem] = []
last_stats = None
last_usage: Usage | None = None
next_output_index = 1 # message item is at 0
async for chunk in chunk_stream:
if isinstance(chunk, ErrorChunk):
break
last_usage = chunk.usage or last_usage
if isinstance(chunk, ToolCallChunk):
last_stats = chunk.stats or last_stats
for tool in chunk.tool_calls:
fc_id = f"fc_{tool.id}"
call_id = f"call_{tool.id}"
@@ -302,7 +307,6 @@ async def generate_responses_stream(
continue
accumulated_text += chunk.text
last_stats = chunk.stats or last_stats
# response.output_text.delta
delta_event = ResponseTextDeltaEvent(
@@ -346,13 +350,13 @@ async def generate_responses_stream(
)
yield f"event: response.output_item.done\ndata: {item_done.model_dump_json()}\n\n"
# Create usage from stats if available
# Create usage from usage data if available
usage = None
if last_stats is not None:
if last_usage is not None:
usage = ResponseUsage(
input_tokens=last_stats.prompt_tokens,
output_tokens=last_stats.generation_tokens,
total_tokens=last_stats.prompt_tokens + last_stats.generation_tokens,
input_tokens=last_usage.prompt_tokens,
output_tokens=last_usage.completion_tokens,
total_tokens=last_usage.total_tokens,
)
# response.completed

View File

@@ -85,6 +85,7 @@ from exo.shared.types.api import (
ImageGenerationTaskParams,
ImageListItem,
ImageListResponse,
ImageSize,
ModelList,
ModelListModel,
PlaceInstanceParams,
@@ -100,6 +101,7 @@ from exo.shared.types.api import (
TraceRankStats,
TraceResponse,
TraceStatsResponse,
normalize_image_size,
)
from exo.shared.types.chunks import (
ErrorChunk,
@@ -751,9 +753,11 @@ class API:
When stream=True and partial_images > 0, returns a StreamingResponse
with SSE-formatted events for partial and final images.
"""
payload.model = await self._validate_image_model(ModelId(payload.model))
payload = payload.model_copy(
update={"advanced_params": _ensure_seed(payload.advanced_params)}
update={
"model": await self._validate_image_model(ModelId(payload.model)),
"advanced_params": _ensure_seed(payload.advanced_params),
}
)
command = ImageGeneration(
@@ -1009,12 +1013,13 @@ class API:
async def bench_image_generations(
self, request: Request, payload: BenchImageGenerationTaskParams
) -> BenchImageGenerationResponse:
payload.model = await self._validate_image_model(ModelId(payload.model))
payload.stream = False
payload.partial_images = 0
payload = payload.model_copy(
update={"advanced_params": _ensure_seed(payload.advanced_params)}
update={
"model": await self._validate_image_model(ModelId(payload.model)),
"stream": False,
"partial_images": 0,
"advanced_params": _ensure_seed(payload.advanced_params),
}
)
command = ImageGeneration(
@@ -1035,7 +1040,7 @@ class API:
prompt: str,
model: ModelId,
n: int,
size: str,
size: ImageSize,
response_format: Literal["url", "b64_json"],
input_fidelity: Literal["low", "high"],
stream: bool,
@@ -1105,7 +1110,7 @@ class API:
prompt: str = Form(...),
model: str = Form(...),
n: int = Form(1),
size: str = Form("1024x1024"),
size: str | None = Form(None),
response_format: Literal["url", "b64_json"] = Form("b64_json"),
input_fidelity: Literal["low", "high"] = Form("low"),
stream: str = Form("false"),
@@ -1131,7 +1136,7 @@ class API:
prompt=prompt,
model=ModelId(model),
n=n,
size=size,
size=normalize_image_size(size),
response_format=response_format,
input_fidelity=input_fidelity,
stream=stream_bool,
@@ -1167,7 +1172,7 @@ class API:
prompt: str = Form(...),
model: str = Form(...),
n: int = Form(1),
size: str = Form("1024x1024"),
size: str | None = Form(None),
response_format: Literal["url", "b64_json"] = Form("b64_json"),
input_fidelity: Literal["low", "high"] = Form("low"),
quality: Literal["high", "medium", "low"] = Form("medium"),
@@ -1187,7 +1192,7 @@ class API:
prompt=prompt,
model=ModelId(model),
n=n,
size=size,
size=normalize_image_size(size),
response_format=response_format,
input_fidelity=input_fidelity,
stream=False,
@@ -1232,12 +1237,15 @@ class API:
"X-Accel-Buffering": "no",
},
)
return await collect_claude_response(
command.command_id,
payload.model,
self._token_chunk_stream(command.command_id),
)
else:
return StreamingResponse(
collect_claude_response(
command.command_id,
payload.model,
self._token_chunk_stream(command.command_id),
),
media_type="application/json",
)
async def openai_responses(
self, payload: ResponsesRequest
@@ -1265,11 +1273,15 @@ class API:
},
)
return await collect_responses_response(
command.command_id,
payload.model,
self._token_chunk_stream(command.command_id),
)
else:
return StreamingResponse(
collect_responses_response(
command.command_id,
payload.model,
self._token_chunk_stream(command.command_id),
),
media_type="application/json",
)
def _calculate_total_available_memory(self) -> Memory:
"""Calculate total available memory across all nodes in bytes."""

View File

@@ -4,7 +4,11 @@ import json
from collections.abc import AsyncGenerator
from typing import Any, cast
from exo.master.adapters.claude import collect_claude_response, generate_claude_stream
from exo.master.adapters.claude import (
ClaudeMessagesResponse,
collect_claude_response,
generate_claude_stream,
)
from exo.shared.types.api import ToolCallItem
from exo.shared.types.chunks import ErrorChunk, TokenChunk, ToolCallChunk
from exo.shared.types.common import CommandId, ModelId
@@ -17,6 +21,18 @@ async def _chunks_to_stream(
yield chunk
async def _collect_response(
command_id: CommandId,
model: str,
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> ClaudeMessagesResponse:
"""Helper to consume the async generator and parse the JSON response."""
parts: list[str] = []
async for part in collect_claude_response(command_id, model, chunk_stream):
parts.append(part)
return ClaudeMessagesResponse.model_validate_json("".join(parts))
MODEL = ModelId("test-model")
COMMAND_ID = CommandId("cmd_test123")
@@ -47,7 +63,7 @@ class TestCollectClaudeResponseToolUse:
],
),
]
response = await collect_claude_response(
response = await _collect_response(
COMMAND_ID, "test-model", _chunks_to_stream(chunks)
)
@@ -77,7 +93,7 @@ class TestCollectClaudeResponseToolUse:
],
),
]
response = await collect_claude_response(
response = await _collect_response(
COMMAND_ID, "test-model", _chunks_to_stream(chunks)
)
@@ -102,7 +118,7 @@ class TestCollectClaudeResponseToolUse:
],
),
]
response = await collect_claude_response(
response = await _collect_response(
COMMAND_ID, "test-model", _chunks_to_stream(chunks)
)
@@ -116,7 +132,7 @@ class TestCollectClaudeResponseToolUse:
async def test_no_content_produces_empty_text_block(self):
chunks: list[ErrorChunk | ToolCallChunk | TokenChunk] = []
response = await collect_claude_response(
response = await _collect_response(
COMMAND_ID, "test-model", _chunks_to_stream(chunks)
)
assert len(response.content) == 1

View File

@@ -42,7 +42,7 @@ from exo.utils.channels import channel
@pytest.mark.asyncio
async def test_master():
keypair = get_node_id_keypair()
node_id = NodeId(keypair.to_peer_id().to_base58())
node_id = NodeId(keypair.to_node_id())
session_id = SessionId(master_node_id=node_id, election_clock=0)
ge_sender, global_event_receiver = channel[ForwarderEvent]()

View File

@@ -30,7 +30,7 @@ class ConnectionMessage(CamelCaseModel):
@classmethod
def from_update(cls, update: ConnectionUpdate) -> "ConnectionMessage":
return cls(
node_id=NodeId(update.peer_id.to_base58()),
node_id=NodeId(update.peer_id),
connection_type=ConnectionMessageType.from_update_type(update.update_type),
remote_ipv4=update.remote_ipv4,
remote_tcp_port=update.remote_tcp_port,

View File

@@ -221,7 +221,7 @@ def get_node_id_keypair(
Obtain the :class:`PeerId` by from it.
"""
# TODO(evan): bring back node id persistence once we figure out how to deal with duplicates
return Keypair.generate_ed25519()
return Keypair.generate()
def lock_path(path: str | bytes | PathLike[str] | PathLike[bytes]) -> Path:
return Path(str(path) + ".lock")
@@ -235,12 +235,12 @@ def get_node_id_keypair(
protobuf_encoded = f.read()
try: # if decoded successfully, save & return
return Keypair.from_protobuf_encoding(protobuf_encoded)
return Keypair.from_bytes(protobuf_encoded)
except ValueError as e: # on runtime error, assume corrupt file
logger.warning(f"Encountered error when trying to get keypair: {e}")
# if no valid credentials, create new ones and persist
with open(path, "w+b") as f:
keypair = Keypair.generate_ed25519()
f.write(keypair.to_protobuf_encoding())
f.write(keypair.to_bytes())
return keypair

View File

@@ -218,11 +218,6 @@ def apply_node_timed_out(event: NodeTimedOut, state: State) -> State:
key: value for key, value in state.downloads.items() if key != event.node_id
}
# Clean up all granular node mappings
node_identities = {
key: value
for key, value in state.node_identities.items()
if key != event.node_id
}
node_memory = {
key: value for key, value in state.node_memory.items() if key != event.node_id
}
@@ -263,7 +258,6 @@ def apply_node_timed_out(event: NodeTimedOut, state: State) -> State:
"downloads": downloads,
"topology": topology,
"last_seen": last_seen,
"node_identities": node_identities,
"node_memory": node_memory,
"node_disk": node_disk,
"node_system": node_system,

View File

@@ -44,7 +44,8 @@ async def _refresh_card_cache():
async for toml_file in path.rglob("*.toml"):
try:
card = await ModelCard.load_from_path(toml_file)
_card_cache[card.model_id] = card
if card.model_id not in _card_cache:
_card_cache[card.model_id] = card
except (ValidationError, TOMLKitError):
pass
@@ -182,6 +183,7 @@ class ConfigData(BaseModel):
def supports_tensor(self) -> bool:
return self.architectures in [
["Glm4MoeLiteForCausalLM"],
["GlmMoeDsaForCausalLM"],
["DeepseekV32ForCausalLM"],
["DeepseekV3ForCausalLM"],
["Qwen3NextForCausalLM"],

View File

@@ -23,7 +23,7 @@ def _get_keypair_concurrent_subprocess_task(
sem.release()
# wait to be told to begin simultaneous read
ev.wait()
queue.put(get_node_id_keypair().to_protobuf_encoding())
queue.put(get_node_id_keypair().to_bytes())
def _get_keypair_concurrent(num_procs: int) -> bytes:

View File

@@ -1,10 +1,9 @@
import time
from collections.abc import Generator
from typing import Annotated, Any, Literal
from typing import Annotated, Any, Literal, get_args
from uuid import uuid4
from pydantic import BaseModel, Field, field_validator
from pydantic_core import PydanticUseDefault
from exo.shared.models.model_cards import ModelCard, ModelId
from exo.shared.types.common import CommandId, NodeId
@@ -228,13 +227,6 @@ class PlaceInstanceParams(BaseModel):
instance_meta: InstanceMeta = InstanceMeta.MlxRing
min_nodes: int = 1
@field_validator("sharding", "instance_meta", mode="plain")
@classmethod
def use_default(cls, v: object):
if not v or not isinstance(v, (Sharding, InstanceMeta)):
raise PydanticUseDefault()
return v
class CreateInstanceParams(BaseModel):
instance: Instance
@@ -270,6 +262,27 @@ class DeleteInstanceResponse(BaseModel):
instance_id: InstanceId
ImageSize = Literal[
"auto",
"512x512",
"768x768",
"1024x768",
"768x1024",
"1024x1024",
"1024x1536",
"1536x1024",
]
def normalize_image_size(v: object) -> ImageSize:
"""Shared validator for ImageSize fields: maps None → "auto" and rejects invalid values."""
if v is None:
return "auto"
if v not in get_args(ImageSize):
raise ValueError(f"Invalid size: {v!r}. Must be one of {get_args(ImageSize)}")
return v # pyright: ignore[reportReturnType]
class AdvancedImageParams(BaseModel):
seed: Annotated[int, Field(ge=0)] | None = None
num_inference_steps: Annotated[int, Field(ge=1, le=100)] | None = None
@@ -289,7 +302,7 @@ class ImageGenerationTaskParams(BaseModel):
partial_images: int | None = 0
quality: Literal["high", "medium", "low"] | None = "medium"
response_format: Literal["url", "b64_json"] | None = "b64_json"
size: str | None = "1024x1024"
size: ImageSize = "auto"
stream: bool | None = False
style: str | None = "vivid"
user: str | None = None
@@ -297,6 +310,11 @@ class ImageGenerationTaskParams(BaseModel):
# Internal flag for benchmark mode - set by API, preserved through serialization
bench: bool = False
@field_validator("size", mode="before")
@classmethod
def normalize_size(cls, v: object) -> ImageSize:
return normalize_image_size(v)
class BenchImageGenerationTaskParams(ImageGenerationTaskParams):
bench: bool = True
@@ -313,13 +331,18 @@ class ImageEditsTaskParams(BaseModel):
quality: Literal["high", "medium", "low"] | None = "medium"
output_format: Literal["png", "jpeg", "webp"] = "png"
response_format: Literal["url", "b64_json"] | None = "b64_json"
size: str | None = "1024x1024"
size: ImageSize = "auto"
image_strength: float | None = 0.7
stream: bool = False
partial_images: int | None = 0
advanced_params: AdvancedImageParams | None = None
bench: bool = False
@field_validator("size", mode="before")
@classmethod
def normalize_size(cls, v: object) -> ImageSize:
return normalize_image_size(v)
def __repr_args__(self) -> Generator[tuple[str, Any], None, None]:
for name, value in super().__repr_args__(): # pyright: ignore[reportAny]
if name == "image_data":

View File

@@ -4,10 +4,13 @@ from collections.abc import Sequence
from mlx_lm.models.cache import (
ArraysCache,
CacheList,
KVCache,
QuantizedKVCache,
RotatingKVCache,
)
# This list contains one cache entry per transformer layer
KVCacheType = Sequence[KVCache | RotatingKVCache | QuantizedKVCache | ArraysCache]
KVCacheType = Sequence[
KVCache | RotatingKVCache | QuantizedKVCache | ArraysCache | CacheList
]

View File

@@ -26,6 +26,7 @@ class DownloadProgressData(CamelCaseModel):
class BaseDownloadProgress(TaggedModel):
node_id: NodeId
shard_metadata: ShardMetadata
model_directory: str = ""
class DownloadPending(BaseDownloadProgress):

View File

@@ -62,6 +62,7 @@ class PartialImageResponse(BaseRunnerResponse):
class ToolCallResponse(BaseRunnerResponse):
tool_calls: list[ToolCallItem]
usage: Usage | None
stats: GenerationStats | None = None
class FinishedResponse(BaseRunnerResponse):

View File

@@ -1,5 +1,7 @@
import sys
def print_startup_banner(port: int) -> None:
"""Print a prominent startup banner with API endpoint information."""
dashboard_url = f"http://localhost:{port}"
banner = f"""
╔═══════════════════════════════════════════════════════════════════════╗
@@ -27,4 +29,4 @@ def print_startup_banner(port: int) -> None:
"""
print(banner)
print(banner, file=sys.stderr)

View File

@@ -1,3 +1,4 @@
import contextlib
import multiprocessing as mp
from dataclasses import dataclass, field
from math import inf
@@ -125,12 +126,15 @@ class MpSender[T]:
self._state.buffer.put(item, block=True)
async def send_async(self, item: T) -> None:
await to_thread.run_sync(self.send, item, limiter=CapacityLimiter(1))
await to_thread.run_sync(
self.send, item, limiter=CapacityLimiter(1), abandon_on_cancel=True
)
def close(self) -> None:
if not self._state.closed.is_set():
self._state.closed.set()
self._state.buffer.put(_MpEndOfStream())
with contextlib.suppress(Exception):
self._state.buffer.put_nowait(_MpEndOfStream())
self._state.buffer.close()
# == unique to Mp channels ==
@@ -202,6 +206,8 @@ class MpReceiver[T]:
def close(self) -> None:
if not self._state.closed.is_set():
self._state.closed.set()
with contextlib.suppress(Exception):
self._state.buffer.put_nowait(_MpEndOfStream())
self._state.buffer.close()
# == unique to Mp channels ==

View File

@@ -14,6 +14,7 @@ from exo.shared.types.api import (
ImageEditsTaskParams,
ImageGenerationStats,
ImageGenerationTaskParams,
ImageSize,
)
from exo.shared.types.memory import Memory
from exo.shared.types.worker.runner_response import (
@@ -23,9 +24,9 @@ from exo.shared.types.worker.runner_response import (
from exo.worker.engines.image.distributed_model import DistributedImageModel
def parse_size(size_str: str | None) -> tuple[int, int]:
def parse_size(size_str: ImageSize) -> tuple[int, int]:
"""Parse size parameter like '1024x1024' to (width, height) tuple."""
if not size_str:
if size_str == "auto":
return (1024, 1024)
try:
@@ -109,6 +110,9 @@ def generate_image(
# Decode base64 image data and save to temp file
image_path = Path(tmpdir) / "input.png"
image_path.write_bytes(base64.b64decode(task.image_data))
if task.size == "auto":
with Image.open(image_path) as img:
width, height = img.size
for image_num in range(num_images):
# Increment seed for each image to ensure unique results

View File

@@ -163,11 +163,14 @@ class PipelineLastLayer(CustomMlxLayer):
output, (self.r + 1) % self.s, group=self.group
)
if cache is not None:
cache.keys = mx.depends(cache.keys, output) # type: ignore[reportUnknownMemberType]
# CacheList (used by MLA models like DeepSeekV32, GLM MoE DSA)
# doesn't have .keys directly; access via first sub-cache.
_cache = cache[0] if hasattr(cache, "caches") else cache # type: ignore
_cache.keys = mx.depends(_cache.keys, output) # type: ignore
if self.is_prefill:
mx.eval(output)
if cache is not None:
mx.eval(cache.keys) # type: ignore
mx.eval(_cache.keys) # type: ignore
if not self.is_prefill:
output = mx.distributed.all_gather(output, group=self.group)[
@@ -307,7 +310,9 @@ def patch_pipeline_model[T](model: T, group: mx.distributed.Group) -> T:
# Add dependency to last cache entry to ensure distributed ops are evaluated
if cache is not None:
cache[-1].state = mx.depends(cache[-1].state, logits) # type: ignore
last = cache[-1] # type: ignore
dep_cache = last[0] if hasattr(last, "caches") else last # type: ignore
dep_cache.keys = mx.depends(dep_cache.keys, logits) # type: ignore
return logits
@@ -333,7 +338,9 @@ def patch_tensor_model[T](model: T) -> T:
# Add dependency to last cache entry to ensure distributed ops are evaluated
if cache is not None and len(cache) > 0: # pyright: ignore[reportAny]
cache[-1].state = mx.depends(cache[-1].state, logits) # pyright: ignore[reportAny,reportUnknownMemberType]
last = cache[-1] # pyright: ignore[reportAny]
dep_cache = last[0] if hasattr(last, "caches") else last # pyright: ignore[reportAny]
dep_cache.keys = mx.depends(dep_cache.keys, logits) # pyright: ignore[reportAny,reportUnknownMemberType]
return logits
@@ -547,10 +554,12 @@ class DeepSeekShardingStrategy(TensorParallelShardingStrategy):
on_timeout: TimeoutCallback | None,
) -> nn.Module:
model = cast(DeepseekV3Model, model)
for layer in model.layers:
eval_with_timeout(
layer.parameters(), timeout_seconds / len(model.layers), on_timeout
)
# Shard the self attention
if layer.self_attn.q_lora_rank is None:
layer.self_attn.q_proj = self.all_to_sharded_linear(
@@ -581,12 +590,18 @@ class DeepSeekShardingStrategy(TensorParallelShardingStrategy):
layer.mlp.down_proj = self.sharded_to_all_linear(layer.mlp.down_proj)
layer.mlp.up_proj = self.all_to_sharded_linear(layer.mlp.up_proj)
# Shard the MoE. Shard in place since the MoE should be responsible
# for aggregating the results.
# Shard the MoE.
else:
self.all_to_sharded_linear_in_place(layer.mlp.shared_experts.gate_proj)
self.sharded_to_all_linear_in_place(layer.mlp.shared_experts.down_proj)
self.all_to_sharded_linear_in_place(layer.mlp.shared_experts.up_proj)
if getattr(layer.mlp, "shared_experts", None) is not None:
self.all_to_sharded_linear_in_place(
layer.mlp.shared_experts.gate_proj
)
self.sharded_to_all_linear_in_place(
layer.mlp.shared_experts.down_proj
)
self.all_to_sharded_linear_in_place(
layer.mlp.shared_experts.up_proj
)
self.all_to_sharded_linear_in_place(layer.mlp.switch_mlp.gate_proj)
self.sharded_to_all_linear_in_place(layer.mlp.switch_mlp.down_proj)
self.all_to_sharded_linear_in_place(layer.mlp.switch_mlp.up_proj)
@@ -779,8 +794,7 @@ class MiniMaxShardingStrategy(TensorParallelShardingStrategy):
layer.self_attn = WrappedMiniMaxAttention(layer.self_attn, self.group) # pyright: ignore[reportAttributeAccessIssue,reportArgumentType]
# Shard the MoE. Shard in place since the MoE should be responsible
# for aggregating the results.
# Shard the MoE.
self.all_to_sharded_linear_in_place(
layer.block_sparse_moe.switch_mlp.gate_proj
)
@@ -893,8 +907,7 @@ class QwenShardingStrategy(TensorParallelShardingStrategy):
layer.self_attn.num_attention_heads //= self.N
layer.self_attn.num_key_value_heads //= self.N
# Shard the MoE. Shard in place since the MoE should be responsible
# for aggregating the results.
# Shard the MoE.
if isinstance(layer.mlp, (Qwen3MoeSparseMoeBlock, Qwen3NextSparseMoeBlock)):
self.all_to_sharded_linear_in_place(layer.mlp.switch_mlp.gate_proj)
self.sharded_to_all_linear_in_place(layer.mlp.switch_mlp.down_proj)

View File

@@ -5,6 +5,7 @@ import mlx.core as mx
import psutil
from mlx_lm.models.cache import (
ArraysCache,
CacheList,
KVCache,
QuantizedKVCache,
RotatingKVCache,
@@ -17,10 +18,22 @@ from exo.worker.engines.mlx import Model
from exo.worker.engines.mlx.constants import CACHE_GROUP_SIZE, KV_CACHE_BITS
from exo.worker.runner.bootstrap import logger
# Fraction of device memory above which LRU eviction kicks in
_DEFAULT_MEMORY_THRESHOLD = 0.9
# Fraction of device memory above which LRU eviction kicks in.
# Smaller machines need more aggressive eviction.
def _default_memory_threshold() -> float:
total_gb = psutil.virtual_memory().total / (1024**3)
if total_gb >= 128:
return 0.85
if total_gb >= 64:
return 0.80
if total_gb >= 32:
return 0.75
return 0.70
_MEMORY_THRESHOLD = float(
os.environ.get("EXO_MEMORY_THRESHOLD", _DEFAULT_MEMORY_THRESHOLD)
os.environ.get("EXO_MEMORY_THRESHOLD", _default_memory_threshold())
)
@@ -64,7 +77,7 @@ def has_non_kv_caches(cache: KVCacheType) -> bool:
class KVPrefixCache:
def __init__(self, group: mx.distributed.Group | None = None):
def __init__(self, group: mx.distributed.Group | None):
self.prompts: list[mx.array] = [] # mx array of tokens (ints)
self.caches: list[KVCacheType] = []
self._snapshots: list[list[CacheSnapshot] | None] = []
@@ -156,15 +169,15 @@ class KVPrefixCache:
best_length = 0
is_exact = False
# Find best cache
# Find best cache match
for i, cached_prompt in enumerate(self.prompts):
length = get_prefix_length(prompt_tokens, cached_prompt)
if length >= max_length - 1:
best_index, best_length = i, length
is_exact = True
break
if length > best_length:
best_index, best_length = i, length
if length == max_length:
is_exact = True
best_index, best_length = i, length
break
if best_index is None:
return make_kv_cache(model), prompt_tokens, None
@@ -172,11 +185,12 @@ class KVPrefixCache:
# For exact match: trim to max_length-1 so remaining has the last token
# For partial match: trim to best_length, remaining has suffix to prefill
# This ensures stream_generate always has at least one token to start with
target = (max_length - 1) if is_exact else best_length
has_ssm = has_non_kv_caches(self.caches[best_index])
target = (max_length - 1) if is_exact and not has_ssm else best_length
restore_pos, restore_snap = self._get_snapshot(best_index, target)
# No usable snapshot — need fresh cache
if restore_snap is None and has_non_kv_caches(self.caches[best_index]):
if restore_snap is None and has_ssm:
return make_kv_cache(model), prompt_tokens, None
prompt_cache = deepcopy(self.caches[best_index])
@@ -257,10 +271,21 @@ def encode_prompt(tokenizer: TokenizerWrapper, prompt: str) -> mx.array:
return mx.array(prompt_tokens)
def _entry_length(
c: KVCache | RotatingKVCache | QuantizedKVCache | ArraysCache | CacheList,
) -> int:
# Use .offset attribute which KVCache types have (len() not implemented in older QuantizedKVCache).
if hasattr(c, "offset"):
return c.offset
# For CacheList
if hasattr(c, "size"):
return int(c.size()) # type: ignore
return 0
def cache_length(cache: KVCacheType) -> int:
"""Get the number of tokens in a KV cache."""
# Use .offset attribute which KVCache types have (len() not implemented in older QuantizedKVCache).
return max(getattr(c, "offset", 0) for c in cache)
return max(_entry_length(c) for c in cache)
def get_prefix_length(prompt: mx.array, cached_prompt: mx.array) -> int:

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