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21 Commits

Author SHA1 Message Date
Alex Cheema
19a21e9065 feat(dashboard): add light/dark mode toggle with warm parchment palette
Adds a theme system to the EXO dashboard with a "Mission Control, Dawn
Shift" light mode — warm parchment backgrounds (oklch(0.97 0.015 80))
and deep amber/brass accents (oklch(0.50 0.14 65)) that feel premium
rather than cold.

Changes:
- dashboard/src/lib/stores/theme.svelte.ts: new Svelte 5 rune store,
  persists choice to localStorage under 'exo-theme'
- dashboard/src/app.html: FOUC prevention — html starts as class="dark",
  inline script reads localStorage and switches to class="light" before
  first paint
- dashboard/src/routes/+layout.svelte: calls theme.init() on mount to
  sync rune state with the DOM class
- dashboard/src/lib/components/HeaderNav.svelte: sun/moon toggle button
  in the right nav area
- dashboard/src/app.css: full html.light palette + utility overrides
  (scrollbar, logo filter, graph links, scanlines, etc.)

No new npm dependencies — avoids mode-watcher entirely.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-18 12:36:51 -08:00
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
79 changed files with 1939 additions and 1461 deletions

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: ...

123
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",
"libp2p",
"log",
"networking",
"once_cell",
"pin-project",
"pyo3",
"pyo3-async-runtimes",
"pyo3-log",
"pyo3-stub-gen",
"thiserror 2.0.17",
"thread_local",
"tokio",
"util",
]
@@ -1640,17 +1584,6 @@ 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 +1762,6 @@ 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 +2751,13 @@ name = "networking"
version = "0.0.1"
dependencies = [
"delegate",
"derive_more",
"either",
"extend",
"futures",
"futures-timer",
"impl-trait-for-tuples",
"keccak-const",
"libp2p",
"log",
"thiserror 2.0.17",
"tokio",
"tracing-subscriber",
"util",
@@ -2918,17 +2842,6 @@ 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 +3192,14 @@ 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 +3640,6 @@ 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 +4504,12 @@ 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 +26,21 @@ opt-level = 3
networking = { path = "rust/networking" }
util = { path = "rust/util" }
# Proc-macro authoring tools
syn = "2.0"
quote = "1.0"
proc-macro2 = "1.0"
darling = "0.20"
# Macro dependecies
extend = "1.2"
delegate = "0.13"
impl-trait-for-tuples = "0.2"
clap = "4.5"
derive_more = { version = "2.0.1", features = ["display"] }
pin-project = "1"
# Utility dependencies
itertools = "0.14"
thiserror = "2"
internment = "0.8"
recursion = "0.5"
regex = "1.11"
once_cell = "1.21"
thread_local = "1.1"
bon = "3.4"
generativity = "1.1"
anyhow = "1.0"
keccak-const = "0.2"
# Functional generics/lenses frameworks
frunk_core = "0.4"
frunk = "0.4"
frunk_utils = "0.2"
frunk-enum-core = "0.3"
# Async dependencies
tokio = "1.46"
futures = "0.3"
futures-util = "0.3"
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",
]

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

@@ -16,9 +16,10 @@
/* Gotham-inspired accent colors */
--exo-grid: oklch(0.25 0 0);
--exo-scanline: oklch(0.15 0 0);
--exo-glow-yellow: 0 0 20px oklch(0.85 0.18 85 / 0.3);
--exo-glow-yellow-strong: 0 0 40px oklch(0.85 0.18 85 / 0.5);
--exo-glow-yellow: oklch(0.85 0.18 85 / 0.3);
--exo-glow-yellow-strong: oklch(0.85 0.18 85 / 0.5);
--exo-bg-hover: oklch(0.18 0 0);
/* Theme Variables */
--radius: 0.375rem;
--background: var(--exo-black);
@@ -41,6 +42,237 @@
--ring: var(--exo-yellow);
}
/* ============================================================
LIGHT THEME — "Mission Control, Dawn Shift"
Warm parchment + deep amber. Applied when <html> has .light class.
============================================================ */
html.light {
/* EXO brand palette — warm amber shift */
--exo-black: oklch(0.97 0.015 80);
--exo-dark-gray: oklch(0.92 0.012 80);
--exo-medium-gray: oklch(0.83 0.009 78);
--exo-light-gray: oklch(0.50 0.018 75);
--exo-yellow: oklch(0.50 0.14 65);
--exo-yellow-darker: oklch(0.40 0.13 65);
--exo-yellow-glow: oklch(0.60 0.14 65);
--exo-grid: oklch(0.88 0.009 80);
--exo-scanline: oklch(0.93 0.010 80);
--exo-glow-yellow: oklch(0.50 0.14 65 / 0.12);
--exo-glow-yellow-strong: oklch(0.50 0.14 65 / 0.22);
--exo-bg-hover: oklch(0.89 0.010 80);
/* Semantic tokens */
--background: oklch(0.97 0.015 80);
--foreground: oklch(0.13 0.015 75);
--card: oklch(0.92 0.012 80);
--card-foreground: oklch(0.13 0.015 75);
--popover: oklch(0.95 0.012 80);
--popover-foreground: oklch(0.13 0.015 75);
--primary: oklch(0.50 0.14 65);
--primary-foreground: oklch(0.97 0.015 80);
--secondary: oklch(0.88 0.008 80);
--secondary-foreground: oklch(0.15 0.012 75);
--muted: oklch(0.90 0.009 80);
--muted-foreground: oklch(0.50 0.018 75);
--accent: oklch(0.88 0.008 80);
--accent-foreground: oklch(0.15 0.012 75);
--destructive: oklch(0.52 0.22 25);
--border: oklch(0.84 0.007 78);
--input: oklch(0.87 0.008 80);
--ring: oklch(0.50 0.14 65);
}
/* ============================================================
LIGHT MODE UTILITY OVERRIDES
============================================================ */
html.light {
& .text-white,
& .text-white\/90,
& .text-white\/80,
& .text-white\/70 {
color: var(--foreground) !important;
}
& .text-white\/60,
& .text-white\/50 {
color: color-mix(in oklch, var(--foreground) 60%, transparent) !important;
}
& .text-white\/40,
& .text-white\/30 {
color: color-mix(in oklch, var(--foreground) 38%, transparent) !important;
}
& .bg-black\/80,
& .bg-black\/60,
& .bg-black\/50,
& .bg-black\/40 {
background-color: oklch(0.90 0.010 80 / 0.7) !important;
}
& [class*="bg-exo-black/"] {
background-color: oklch(0.90 0.010 80 / 0.6) !important;
}
& [class*="shadow-black"] {
--tw-shadow-color: oklch(0.30 0.010 75 / 0.10) !important;
}
& ::-webkit-scrollbar-track {
background: oklch(0.93 0.010 80) !important;
}
& ::-webkit-scrollbar-thumb {
background: oklch(0.76 0.010 78) !important;
}
& ::-webkit-scrollbar-thumb:hover {
background: oklch(0.50 0.14 65 / 0.6) !important;
}
& .command-panel {
background: linear-gradient(
180deg,
oklch(0.94 0.012 80 / 0.96) 0%,
oklch(0.91 0.010 80 / 0.98) 100%
) !important;
border-color: oklch(0.82 0.008 78) !important;
box-shadow:
inset 0 1px 0 oklch(1 0 0 / 0.6),
0 4px 20px oklch(0.30 0.010 75 / 0.08) !important;
}
& .glow-text {
text-shadow:
0 0 12px oklch(0.50 0.14 65 / 0.20),
0 1px 3px oklch(0.30 0.010 75 / 0.12) !important;
}
& .grid-bg {
background-image:
linear-gradient(oklch(0.75 0.008 78 / 0.25) 1px, transparent 1px),
linear-gradient(90deg, oklch(0.75 0.008 78 / 0.25) 1px, transparent 1px) !important;
}
& .scanlines::before {
background: repeating-linear-gradient(
0deg,
transparent,
transparent 2px,
oklch(0.50 0.010 78 / 0.018) 2px,
oklch(0.50 0.010 78 / 0.018) 4px
) !important;
}
& .crt-screen {
background: radial-gradient(
ellipse at center,
oklch(0.95 0.012 80) 0%,
oklch(0.92 0.010 80) 50%,
oklch(0.89 0.009 80) 100%
) !important;
box-shadow:
inset 0 0 60px oklch(0.30 0.010 75 / 0.04),
0 0 30px oklch(0.50 0.14 65 / 0.04) !important;
}
& .graph-link {
stroke: oklch(0.50 0.018 75 / 0.45) !important;
filter: none !important;
}
& .graph-link-active {
stroke: oklch(0.50 0.14 65 / 0.75) !important;
filter: none !important;
}
& .shooting-stars {
display: none !important;
}
& img[alt="EXO"] {
filter: brightness(0) drop-shadow(0 0 6px oklch(0.30 0.010 75 / 0.10)) !important;
}
& .text-red-400 { color: oklch(0.52 0.22 25) !important; }
& .text-green-400 { color: oklch(0.48 0.17 155) !important; }
& .text-blue-200,
& .text-blue-300,
& .text-blue-400 { color: oklch(0.48 0.17 250) !important; }
& .bg-red-500\/10 { background-color: oklch(0.52 0.22 25 / 0.07) !important; }
& .bg-red-500\/20 { background-color: oklch(0.52 0.22 25 / 0.11) !important; }
& .bg-red-500\/30 { background-color: oklch(0.52 0.22 25 / 0.14) !important; }
& textarea,
& input[type="text"] { color: var(--foreground) !important; }
& textarea::placeholder,
& input::placeholder { color: oklch(0.50 0.012 78 / 0.55) !important; }
& .code-block-wrapper,
& .math-display-wrapper {
background: oklch(0.95 0.010 80) !important;
border-color: oklch(0.83 0.007 78) !important;
}
& .code-block-header,
& .math-display-header {
background: oklch(0.91 0.009 80) !important;
border-color: oklch(0.85 0.007 78) !important;
}
& .inline-code {
background: oklch(0.89 0.009 80) !important;
color: oklch(0.20 0.012 75) !important;
}
& blockquote { background: oklch(0.93 0.010 80) !important; }
& th {
background: oklch(0.90 0.009 80) !important;
border-color: oklch(0.80 0.007 78) !important;
}
& td { border-color: oklch(0.84 0.007 78) !important; }
& hr { border-color: oklch(0.84 0.007 78) !important; }
& .hljs { color: oklch(0.22 0.012 75) !important; }
& .hljs-keyword, & .hljs-selector-tag, & .hljs-literal, & .hljs-section, & .hljs-link {
color: oklch(0.45 0.18 300) !important;
}
& .hljs-string, & .hljs-title, & .hljs-name, & .hljs-type,
& .hljs-attribute, & .hljs-symbol, & .hljs-bullet, & .hljs-addition,
& .hljs-variable, & .hljs-template-tag, & .hljs-template-variable {
color: oklch(0.45 0.14 65) !important;
}
& .hljs-comment, & .hljs-quote, & .hljs-deletion, & .hljs-meta {
color: oklch(0.55 0.010 78) !important;
}
& .hljs-number, & .hljs-regexp, & .hljs-built_in {
color: oklch(0.45 0.15 160) !important;
}
& .hljs-function, & .hljs-class .hljs-title {
color: oklch(0.42 0.17 240) !important;
}
& .katex, & .katex .mord, & .katex .minner, & .katex .mop,
& .katex .mbin, & .katex .mrel, & .katex .mpunct {
color: oklch(0.15 0.012 75) !important;
}
& .katex .frac-line, & .katex .overline-line, & .katex .underline-line,
& .katex .hline, & .katex .rule {
border-color: oklch(0.25 0.012 75) !important;
background: oklch(0.25 0.012 75) !important;
}
& .katex svg { fill: oklch(0.25 0.012 75) !important; stroke: oklch(0.25 0.012 75) !important; }
& .katex svg path { stroke: oklch(0.25 0.012 75) !important; }
& .katex .mopen, & .katex .mclose,
& .katex .delimsizing, & [class^="katex .delim-size"] {
color: oklch(0.35 0.012 75) !important;
}
& .latex-proof { background: oklch(0.96 0.010 80) !important; border-left-color: oklch(0.72 0.010 78) !important; }
& .latex-proof-header { color: oklch(0.22 0.012 75) !important; }
& .latex-proof-content { color: oklch(0.15 0.012 75) !important; }
& .latex-proof-content::after { color: oklch(0.48 0.012 75) !important; }
& .latex-theorem { background: oklch(0.94 0.010 80) !important; border-color: oklch(0.80 0.008 78) !important; }
& .latex-diagram-placeholder {
background: oklch(0.96 0.010 80) !important;
border-color: oklch(0.80 0.008 78) !important;
color: oklch(0.38 0.012 75) !important;
}
}
@theme inline {
--radius-sm: calc(var(--radius) - 2px);
--radius-md: var(--radius);

View File

@@ -1,7 +1,15 @@
<!doctype html>
<html lang="en">
<html lang="en" class="dark">
<head>
<meta charset="utf-8" />
<script>
try {
if (localStorage.getItem('exo-theme') === 'light') {
document.documentElement.classList.remove('dark');
document.documentElement.classList.add('light');
}
} catch (_) {}
</script>
<link rel="icon" href="%sveltekit.assets%/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<title>EXO</title>

View File

@@ -103,7 +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(

View File

@@ -1,5 +1,6 @@
<script lang="ts">
import { browser } from "$app/environment";
import { theme } from "$lib/stores/theme.svelte";
export let showHome = true;
export let onHome: (() => void) | null = null;
@@ -79,10 +80,48 @@
/>
</button>
<!-- Right: Home + Downloads -->
<!-- Right: Theme toggle + Home + Downloads -->
<div
class="absolute right-6 top-1/2 -translate-y-1/2 flex items-center gap-4"
>
<button
onclick={() => theme.toggle()}
class="p-2 rounded border border-exo-medium-gray/40 hover:border-exo-yellow/50 transition-colors cursor-pointer"
title={theme.isLight ? "Switch to dark mode" : "Switch to light mode"}
aria-label={theme.isLight
? "Switch to dark mode"
: "Switch to light mode"}
>
{#if theme.isLight}
<svg
class="w-4 h-4 text-exo-light-gray"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M21 12.79A9 9 0 1111.21 3a7 7 0 009.79 9.79z"
/>
</svg>
{:else}
<svg
class="w-4 h-4 text-exo-light-gray"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<circle cx="12" cy="12" r="5" />
<path
stroke-linecap="round"
d="M12 1v2m0 18v2M4.22 4.22l1.42 1.42m12.72 12.72l1.42 1.42M1 12h2m18 0h2M4.22 19.78l1.42-1.42M18.36 5.64l1.42-1.42"
/>
</svg>
{/if}
</button>
{#if showHome}
<button
onclick={handleHome}

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,

View File

@@ -0,0 +1,28 @@
import { browser } from "$app/environment";
let _isLight = $state(false);
export const theme = {
get isLight() {
return _isLight;
},
init() {
if (!browser) return;
_isLight = document.documentElement.classList.contains("light");
},
toggle() {
if (!browser) return;
_isLight = !_isLight;
if (_isLight) {
document.documentElement.classList.remove("dark");
document.documentElement.classList.add("light");
localStorage.setItem("exo-theme", "light");
} else {
document.documentElement.classList.remove("light");
document.documentElement.classList.add("dark");
localStorage.setItem("exo-theme", "dark");
}
},
};

View File

@@ -1,7 +1,13 @@
<script lang="ts">
import "../app.css";
import { onMount } from "svelte";
import { theme } from "$lib/stores/theme.svelte";
let { children } = $props();
onMount(() => {
theme.init();
});
</script>
<svelte:head>

View File

File diff suppressed because it is too large Load Diff

View File

@@ -115,7 +115,7 @@
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 }
@@ -132,7 +133,7 @@ markers = [
env = [
"EXO_TESTS=1"
]
addopts = "-m 'not slow'"
addopts = "-m 'not slow' --ignore=tests/start_distributed_test.py"
filterwarnings = [
"ignore:builtin type Swig:DeprecationWarning",
]

View File

@@ -58,6 +58,21 @@
lib.optionalAttrs pkgs.stdenv.hostPlatform.isLinux (
(lib.mapAttrs (_: ignoreMissing) nvidiaPackages) // {
mlx = ignoreMissing prev.mlx;
mlx-cuda-13 = prev.mlx-cuda-13.overrideAttrs (old: {
buildInputs = (old.buildInputs or [ ]) ++ [
final.nvidia-cublas
final.nvidia-cuda-nvrtc
final.nvidia-cudnn-cu13
final.nvidia-nccl-cu13
];
preFixup = ''
addAutoPatchelfSearchPath ${final.nvidia-cublas}
addAutoPatchelfSearchPath ${final.nvidia-cuda-nvrtc}
addAutoPatchelfSearchPath ${final.nvidia-cudnn-cu13}
addAutoPatchelfSearchPath ${final.nvidia-nccl-cu13}
'';
autoPatchelfIgnoreMissingDeps = [ "libcuda.so.1" ];
});
torch = ignoreMissing prev.torch;
triton = ignoreMissing prev.triton;
}
@@ -74,14 +89,25 @@
linuxOverlay
]
);
exoVenv = pythonSet.mkVirtualEnv "exo-env" workspace.deps.default;
# mlx-cpu and mlx-cuda-13 both ship mlx/ site-packages files; keep first.
# mlx-cpu/mlx-cuda-13 and nvidia-cudnn-cu12/cu13 ship overlapping files.
venvCollisionPaths = lib.optionals pkgs.stdenv.hostPlatform.isLinux [
"lib/python3.13/site-packages/mlx*"
"lib/python3.13/site-packages/nvidia*"
];
exoVenv = (pythonSet.mkVirtualEnv "exo-env" workspace.deps.default).overrideAttrs {
venvIgnoreCollisions = venvCollisionPaths;
};
# Virtual environment with dev dependencies for testing
testVenv = pythonSet.mkVirtualEnv "exo-test-env" (
testVenv = (pythonSet.mkVirtualEnv "exo-test-env" (
workspace.deps.default // {
exo = [ "dev" ]; # Include pytest, pytest-asyncio, pytest-env
}
);
)).overrideAttrs {
venvIgnoreCollisions = venvCollisionPaths;
};
mkPythonScript = name: path: pkgs.writeShellApplication {
inherit name;

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

@@ -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

@@ -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
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" }
@@ -45,8 +45,6 @@ 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
@@ -54,24 +52,11 @@ tokio = { workspace = true, features = ["full", "tracing"] }
futures = { 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"] }

View File

@@ -6,7 +6,7 @@ use pyo3::marker::Ungil;
use pyo3::prelude::*;
use std::{
future::Future,
pin::{Pin, pin},
pin::Pin,
task::{Context, Poll},
};
@@ -33,8 +33,6 @@ where
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

@@ -17,7 +17,6 @@
extern crate core;
mod allow_threading;
mod examples;
pub(crate) mod networking;
pub(crate) mod pylibp2p;
@@ -25,7 +24,6 @@ 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::{Bound, PyResult, pyclass, pymodule};
use pyo3_stub_gen::define_stub_info_gatherer;
@@ -36,14 +34,10 @@ pub(crate) mod r#const {
/// 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
@@ -51,7 +45,6 @@ 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 +55,7 @@ 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 +91,7 @@ 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 +168,6 @@ 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.

View File

@@ -11,9 +11,9 @@ use crate::ext::{ResultExt as _, TokioMpscReceiverExt as _, TokioMpscSenderExt a
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]
@@ -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");
@@ -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

@@ -19,8 +19,6 @@ 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"] }
@@ -29,11 +27,6 @@ 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

@@ -24,8 +24,8 @@ use libp2p::{
swarm::{NetworkBehaviour, SwarmEvent},
tcp, yamux,
};
use std::error::Error;
use std::time::Duration;
use std::{error::Error, hash::Hash};
use tokio::{io, io::AsyncBufReadExt, select};
use tracing_subscriber::EnvFilter;

View File

@@ -1,5 +1,4 @@
use crate::ext::MultiaddrExt;
use crate::keep_alive;
use delegate::delegate;
use either::Either;
use futures::FutureExt;

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

@@ -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

@@ -39,6 +39,7 @@ class Node:
node_id: NodeId
event_index_counter: Iterator[int]
offline: bool
_tg: TaskGroup = field(init=False, default_factory=anyio.create_task_group)
@classmethod
@@ -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

@@ -144,8 +144,8 @@ async def collect_responses_response(
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,
)

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,

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

@@ -1,9 +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
from pydantic import BaseModel, Field, field_validator
from exo.shared.models.model_cards import ModelCard, ModelId
from exo.shared.types.common import CommandId, NodeId
@@ -262,6 +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
@@ -281,7 +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
@@ -289,6 +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
@@ -305,13 +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

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

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

@@ -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

@@ -57,6 +57,7 @@ def prefill(
sampler: Callable[[mx.array], mx.array],
prompt_tokens: mx.array,
cache: KVCacheType,
group: mx.distributed.Group | None = None,
) -> tuple[float, int, list[CacheSnapshot]]:
"""Prefill the KV cache with prompt tokens.
@@ -86,6 +87,9 @@ def prefill(
set_pipeline_prefill(model, is_prefill=True)
mx_barrier(group)
logger.info("Starting prefill")
# Use max_tokens=1 because max_tokens=0 does not work.
# We just throw away the generated token - we only care about filling the cache
for _ in stream_generate(
@@ -305,16 +309,9 @@ def mlx_generate(
)
max_stop_len = max((len(s) for s in stop_sequences), default=0)
mx_barrier(group)
logger.info("Ready to prefill")
# Prefill cache with all tokens except the last one
prefill_tps, prefill_tokens, ssm_snapshots_list = prefill(
model,
tokenizer,
sampler,
prompt_tokens[:-1],
caches,
model, tokenizer, sampler, prompt_tokens[:-1], caches, group
)
cache_snapshots: list[CacheSnapshot] | None = ssm_snapshots_list or None
@@ -331,6 +328,7 @@ def mlx_generate(
think_start = tokenizer.think_start
think_end = tokenizer.think_end
logger.info("Starting decode")
mx_barrier(group)
for completion_tokens, out in enumerate(

View File

@@ -285,10 +285,12 @@ def get_eos_token_ids_for_model(model_id: ModelId) -> list[int] | None:
model_id_lower = model_id.lower()
if "kimi-k2" in model_id_lower:
return [163586]
elif "glm-4.7-flash" in model_id_lower:
elif "glm-5" in model_id_lower or "glm-4.7" in model_id_lower:
# For GLM-5 and GLM-4.7
# 154820: <|endoftext|>, 154827: <|user|>, 154829: <|observation|>
return [154820, 154827, 154829]
elif "glm" in model_id_lower:
# For GLM-4.5 and older
return [151336, 151329, 151338]
return None
@@ -353,7 +355,13 @@ def load_tokenizer_for_model_id(
return list(hf_tokenizer.model.encode(text, allowed_special="all")) # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType]
hf_tokenizer.encode = _patched_encode
return TokenizerWrapper(hf_tokenizer, eos_token_ids=eos_token_ids)
return TokenizerWrapper(
hf_tokenizer,
eos_token_ids=eos_token_ids,
tool_call_start="<|tool_calls_section_begin|>",
tool_call_end="<|tool_calls_section_end|>",
tool_parser=_parse_kimi_tool_calls,
)
tokenizer = load_tokenizer(
model_path,
@@ -585,3 +593,41 @@ def mx_barrier(group: Group | None):
mx.array(1.0), group=group, stream=mx.default_stream(mx.Device(mx.cpu))
)
)
def _parse_kimi_tool_calls(text: str):
import regex as re
# kimi has a fixed function naming scheme, with a json formatted arg
# functions.multiply:0<|tool_call_argument_begin|>{"a": 2, "b": 3}
_func_name_regex = re.compile(
r"^\s*((?:functions\.)?(.+?):\d+)\s*<\|tool_call_argument_begin\|>", re.DOTALL
)
_func_arg_regex = re.compile(r"<\|tool_call_argument_begin\|>\s*(.*)\s*", re.DOTALL)
_tool_call_split_regex = re.compile(
r"<\|tool_call_begin\|>(.*?)<\|tool_call_end\|>", re.DOTALL
)
def _parse_single_tool(text: str) -> dict[str, Any]:
func_name_match = _func_name_regex.search(text)
if func_name_match is None:
raise ValueError("No tool call found.")
tool_call_id = func_name_match.group(1) # e.g. "functions.get_weather:0"
func_name = func_name_match.group(2) # e.g. "get_weather"
func_args_match = _func_arg_regex.search(text)
if func_args_match is None:
raise ValueError("No tool call arguments found.")
func_args = func_args_match.group(1)
try:
arg_dct = json.loads(func_args) # pyright: ignore[reportAny]
except Exception:
arg_dct = None
return dict(id=tool_call_id, name=func_name, arguments=arg_dct)
tool_matches = _tool_call_split_regex.findall(text)
if tool_matches:
return [_parse_single_tool(match) for match in tool_matches] # pyright: ignore[reportAny]
else:
return [_parse_single_tool(text)]

View File

@@ -1,11 +1,10 @@
import base64
import json
import math
import resource
import time
from collections.abc import Generator
from functools import cache
from typing import Any, Callable, Literal
from typing import Literal
import mlx.core as mx
from mlx_lm.models.gpt_oss import Model as GptOssModel
@@ -16,7 +15,6 @@ from openai_harmony import ( # pyright: ignore[reportMissingTypeStubs]
StreamableParser,
load_harmony_encoding,
)
from pydantic import ValidationError
from exo.shared.constants import EXO_MAX_CHUNK_SIZE, EXO_TRACING_ENABLED
from exo.shared.models.model_cards import ModelId, ModelTask
@@ -93,6 +91,8 @@ from exo.worker.engines.mlx.utils_mlx import (
)
from exo.worker.runner.bootstrap import logger
from .tool_parsers import ToolParser, make_mlx_parser
def _is_primary_output_node(shard_metadata: ShardMetadata) -> bool:
"""Check if this node is the primary output node for image generation.
@@ -138,6 +138,7 @@ def main(
inference_model: Model | None = None
image_model: DistributedImageModel | None = None
tokenizer = None
tool_parser: ToolParser | None = None
group = None
kv_prefix_cache: KVPrefixCache | None = None
check_for_cancel_every: int | None = None
@@ -203,8 +204,17 @@ def main(
bound_instance, group, on_timeout=on_model_load_timeout
)
logger.info(
f"model has_tool_calling={tokenizer.has_tool_calling}"
f"model has_tool_calling={tokenizer.has_tool_calling} using tokens {tokenizer.tool_call_start}, {tokenizer.tool_call_end}"
)
if tokenizer.has_tool_calling:
assert tokenizer.tool_call_start
assert tokenizer.tool_call_end
assert tokenizer.tool_parser # pyright: ignore[reportAny]
tool_parser = make_mlx_parser(
tokenizer.tool_call_start,
tokenizer.tool_call_end,
tokenizer.tool_parser, # pyright: ignore[reportAny]
)
kv_prefix_cache = KVPrefixCache(group)
elif (
@@ -310,31 +320,11 @@ def main(
mlx_generator, tokenizer
)
# Kimi-K2 has tool call sections - we don't care about them
if "kimi" in shard_metadata.model_card.model_id.lower():
mlx_generator = filter_kimi_tokens(mlx_generator)
patch_kimi_tokenizer(tokenizer)
# GLM models need patched parser (upstream has bug with None regex match)
elif "glm" in shard_metadata.model_card.model_id.lower():
patch_glm_tokenizer(tokenizer)
# GPT-OSS specific parsing to match other model formats.
elif isinstance(inference_model, GptOssModel):
if isinstance(inference_model, GptOssModel):
mlx_generator = parse_gpt_oss(mlx_generator)
if tokenizer.has_tool_calling and not isinstance(
inference_model, GptOssModel
):
assert tokenizer.tool_call_start
assert tokenizer.tool_call_end
assert tokenizer.tool_parser # pyright: ignore[reportAny]
mlx_generator = parse_tool_calls(
mlx_generator,
tokenizer.tool_call_start,
tokenizer.tool_call_end,
tokenizer.tool_parser, # pyright: ignore[reportAny]
)
elif tool_parser:
mlx_generator = parse_tool_calls(mlx_generator, tool_parser)
completion_tokens = 0
tokens_since_last_cancel_check = 0
@@ -587,21 +577,8 @@ def get_gpt_oss_encoding():
return encoding
def filter_kimi_tokens(
responses: Generator[GenerationResponse | ToolCallResponse],
) -> Generator[GenerationResponse]:
for resp in responses:
assert isinstance(resp, GenerationResponse)
if (
resp.text == "<|tool_calls_section_begin|>"
or resp.text == "<|tool_calls_section_end|>"
):
continue
yield resp
def parse_gpt_oss(
responses: Generator[GenerationResponse | ToolCallResponse],
responses: Generator[GenerationResponse],
) -> Generator[GenerationResponse | ToolCallResponse]:
encoding = get_gpt_oss_encoding()
stream = StreamableParser(encoding, role=Role.ASSISTANT)
@@ -658,9 +635,9 @@ def parse_gpt_oss(
def parse_thinking_models(
responses: Generator[GenerationResponse | ToolCallResponse],
responses: Generator[GenerationResponse],
tokenizer: TokenizerWrapper,
) -> Generator[GenerationResponse | ToolCallResponse]:
) -> Generator[GenerationResponse]:
"""
For models that inject thinking tags in the prompt (like GLM-4.7),
prepend the thinking tag to the output stream so the frontend
@@ -781,221 +758,55 @@ def _process_image_response(
def parse_tool_calls(
responses: Generator[GenerationResponse | ToolCallResponse],
tool_call_start: str,
tool_call_end: str,
tool_parser: Callable[[str], dict[str, Any] | list[dict[str, Any]]],
responses: Generator[GenerationResponse], tool_parser: ToolParser
) -> Generator[GenerationResponse | ToolCallResponse]:
in_tool_call = False
tool_call_text_parts: list[str] = []
for response in responses:
assert isinstance(response, GenerationResponse)
# assumption: the tool call start is one token
if response.text == tool_call_start:
if response.text.startswith(tool_parser.start_parsing):
in_tool_call = True
continue
# assumption: the tool call end is one token
if in_tool_call and response.text == tool_call_end:
try:
# tool_parser returns an arbitrarily nested python dictionary
# we actually don't want the python dictionary, we just want to
# parse the top level { function: ..., arguments: ... } structure
# as we're just gonna hand it back to the api anyway
parsed = tool_parser("".join(tool_call_text_parts).strip())
logger.info(f"parsed {tool_call_text_parts=} into {parsed=}")
if isinstance(parsed, list):
tools = [_validate_single_tool(tool) for tool in parsed]
else:
tools = [_validate_single_tool(parsed)]
yield ToolCallResponse(
tool_calls=tools, usage=response.usage, stats=response.stats
)
except (
json.JSONDecodeError,
ValidationError,
ValueError,
AttributeError,
) as e:
# ValueError: our parsers raise this for malformed tool calls
# AttributeError: upstream parsers (e.g. glm47) may raise this when regex doesn't match
logger.opt(exception=e).warning("tool call parsing failed")
# assumption: talking about tool calls, not making a tool call
response.text = (
tool_call_start + "".join(tool_call_text_parts) + tool_call_end
)
yield response
in_tool_call = False
tool_call_text_parts = []
continue
if in_tool_call:
tool_call_text_parts.append(response.text)
if response.text.endswith(tool_parser.end_parsing):
# parse the actual tool calls from the tool call text
parsed = tool_parser.parse_tool_calls(
"".join(tool_call_text_parts).strip()
)
logger.info(f"parsed {tool_call_text_parts=} into {parsed=}")
if parsed is not None:
yield ToolCallResponse(
tool_calls=parsed, usage=response.usage, stats=response.stats
)
else:
logger.warning(
f"tool call parsing failed for text {''.join(tool_call_text_parts)}"
)
response.text = "".join(tool_call_text_parts)
yield response
in_tool_call = False
tool_call_text_parts = []
continue
if response.finish_reason is not None:
logger.info(
"toll call parsing interrupted, yield partial tool call as text"
"tool call parsing interrupted, yield partial tool call as text"
)
yield GenerationResponse(
text=tool_call_start + "".join(tool_call_text_parts),
token=0,
finish_reason=response.finish_reason,
usage=response.usage,
stats=response.stats,
response = response.model_copy(
update={
"text": "".join(tool_call_text_parts),
"token": 0,
}
)
yield response
continue
# fallthrough
yield response
def patch_kimi_tokenizer(tokenizer: TokenizerWrapper):
"""
Version of to-be-upstreamed kimi-k2 tool parser
"""
import ast
import json
from typing import Any
import regex as re
# kimi has a fixed function naming scheme, with a json formatted arg
# functions.multiply:0 <|tool_call_argument_begin|> {"a": 2, "b": 3}
# Also needs to handle tools like call_0<|tool_call_argument_begin|>{"filePath": "..."}
_func_name_regex = re.compile(
r"^\s*(.+)[:](\d+)\s*<\|tool_call_argument_begin\|>", re.DOTALL
)
_func_arg_regex = re.compile(r"<\|tool_call_argument_begin\|>\s*(.*)\s*", re.DOTALL)
# kimi has a tool_calls_section - we're leaving this up to the caller to handle
tool_call_start = "<|tool_call_begin|>"
tool_call_end = "<|tool_call_end|>"
def _deserialize(value: str) -> Any: # pyright: ignore[reportAny]
try:
return json.loads(value) # pyright: ignore[reportAny]
except Exception:
pass
try:
return ast.literal_eval(value) # pyright: ignore[reportAny]
except Exception:
pass
return value
def parse_tool_call(text: str, tools: Any | None = None):
func_name_match = _func_name_regex.search(text)
if func_name_match is None:
raise ValueError(f"Could not parse function name from tool call: {text!r}")
original_func_name = func_name_match.group(1)
tool_id = func_name_match.group(2)
# strip off the `functions.` prefix, if it exists.
func_name = original_func_name[original_func_name.find(".") + 1 :]
func_args_match = _func_arg_regex.search(text)
if func_args_match is None:
raise ValueError(f"Could not parse function args from tool call: {text!r}")
func_args = func_args_match.group(1)
# the args should be valid json - no need to check against our tools to deserialize
arg_dct = _deserialize(func_args) # pyright: ignore[reportAny]
return dict(
id=f"{original_func_name}:{tool_id}",
name=func_name,
arguments=arg_dct, # pyright: ignore[reportAny]
)
tokenizer._tool_call_start = tool_call_start
tokenizer._tool_call_end = tool_call_end
tokenizer._tool_parser = parse_tool_call
def patch_glm_tokenizer(tokenizer: TokenizerWrapper):
"""
Fixed version of mlx_lm's glm47 tool parser that handles regex match failures.
"""
import ast
import json
from typing import Any
import regex as re
_func_name_regex = re.compile(r"^(.*?)<arg_key>", re.DOTALL)
_func_arg_regex = re.compile(
r"<arg_key>(.*?)</arg_key>(?:\n|\s)*<arg_value>(.*?)(?:</arg_value>|(?=<arg_key>)|$)",
re.DOTALL,
)
tool_call_start = "<tool_call>"
tool_call_end = "</tool_call>"
def _is_string_type(
tool_name: str,
arg_name: str,
tools: list[Any] | None,
) -> bool:
if tools is None:
return False
for tool in tools: # pyright: ignore[reportAny]
func = tool["function"] # pyright: ignore[reportAny]
if func["name"] == tool_name:
params = func["parameters"] # pyright: ignore[reportAny]
if params is None:
return False
props = params.get("properties", {}) # pyright: ignore[reportAny]
arg_props = props.get(arg_name, {}) # pyright: ignore[reportAny]
arg_type = arg_props.get("type", None) # pyright: ignore[reportAny]
return arg_type == "string" # pyright: ignore[reportAny]
return False
def _deserialize(value: str) -> Any: # pyright: ignore[reportAny]
try:
return json.loads(value) # pyright: ignore[reportAny]
except Exception:
pass
try:
return ast.literal_eval(value) # pyright: ignore[reportAny]
except Exception:
pass
return value
def parse_tool_call(text: str, tools: list[Any] | None = None):
func_name_match = _func_name_regex.search(text)
if func_name_match is None:
raise ValueError(f"Could not parse function name from tool call: {text!r}")
func_name = func_name_match.group(1)
pairs = _func_arg_regex.findall(text)
arg_dct: dict[str, Any] = {}
for key, value in pairs: # pyright: ignore[reportAny]
arg_key = key.strip() # pyright: ignore[reportAny]
arg_val = value.strip() # pyright: ignore[reportAny]
if not _is_string_type(func_name, arg_key, tools): # pyright: ignore[reportAny]
arg_val = _deserialize(arg_val) # pyright: ignore[reportAny]
arg_dct[arg_key] = arg_val
return dict(name=func_name, arguments=arg_dct)
tokenizer._tool_call_start = tool_call_start
tokenizer._tool_call_end = tool_call_end
tokenizer._tool_parser = parse_tool_call
def _validate_single_tool(obj: dict[str, Any]) -> ToolCallItem:
if (
((name := obj.get("name")) is not None)
and ((args := obj.get("arguments")) is not None)
and isinstance(name, str)
):
raw_id: object = obj.get("id")
extra = {"id": str(raw_id)} if raw_id is not None else {}
return ToolCallItem(
**extra,
name=name,
arguments=json.dumps(args),
)
else:
raise ValidationError
EXO_RUNNER_MUST_FAIL = "EXO RUNNER MUST FAIL"
EXO_RUNNER_MUST_OOM = "EXO RUNNER MUST OOM"
EXO_RUNNER_MUST_TIMEOUT = "EXO RUNNER MUST TIMEOUT"

View File

@@ -191,7 +191,7 @@ class RunnerSupervisor:
logger.info("Checking runner's status")
if self.runner_process.is_alive():
logger.info("Runner was found to be alive, attempting to join process")
await to_thread.run_sync(self.runner_process.join, 1)
await to_thread.run_sync(self.runner_process.join, 5)
rc = self.runner_process.exitcode
logger.info(f"RunnerSupervisor exited with exit code {rc}")
if rc == 0:

View File

@@ -0,0 +1,72 @@
import json
from dataclasses import dataclass
from typing import Any, Callable
from exo.shared.types.api import ToolCallItem
@dataclass
class ToolParser:
start_parsing: str
end_parsing: str
parse_tool_calls: Callable[[str], list[ToolCallItem] | None]
def make_mlx_parser(
tool_call_start: str,
tool_call_end: str,
tool_parser: Callable[[str], dict[str, Any] | list[dict[str, Any]]],
) -> ToolParser:
def parse_tool_calls(text: str) -> list[ToolCallItem] | None:
try:
text = text.removeprefix(tool_call_start)
text = text.removesuffix(tool_call_end)
parsed = tool_parser(text)
if isinstance(parsed, list):
return [ToolCallItem.model_validate(_flatten(p)) for p in parsed]
else:
return [ToolCallItem.model_validate(_flatten(parsed))]
except Exception:
return None
return ToolParser(
start_parsing=tool_call_start,
end_parsing=tool_call_end,
parse_tool_calls=parse_tool_calls,
)
# TODO / example code:
def _parse_json_calls(text: str) -> list[ToolCallItem] | None:
try:
text = text.removeprefix("<tool_call>")
text = text.removesuffix("</tool_call>")
top_level = {
k: json.dumps(v) if isinstance(v, (dict, list)) else v
for k, v in json.loads(text).items() # pyright: ignore[reportAny]
}
return [ToolCallItem.model_validate(top_level)]
except Exception:
return None
def _flatten(p: dict[str, Any]) -> dict[str, str]:
return {
k: json.dumps(v) if isinstance(v, (dict, list)) else str(v) # pyright: ignore[reportAny]
for k, v in p.items() # pyright: ignore[reportAny]
}
json_tool_parser = ToolParser(
start_parsing="<tool_call>",
end_parsing="</tool_call>",
parse_tool_calls=_parse_json_calls,
)
def infer_tool_parser(chat_template: str) -> ToolParser | None:
"""Attempt to auto-infer a tool parser from the chat template."""
if "<tool_call>" in chat_template and "tool_call.name" in chat_template:
return json_tool_parser
return None

View File

@@ -5,12 +5,13 @@ from typing import Any
from exo.shared.types.worker.runner_response import GenerationResponse, ToolCallResponse
from exo.worker.runner.runner import parse_tool_calls
from exo.worker.runner.tool_parsers import make_mlx_parser
def _make_responses(
texts: list[str],
finish_on_last: bool = True,
) -> Generator[GenerationResponse | ToolCallResponse]:
) -> Generator[GenerationResponse]:
"""Create a sequence of GenerationResponses from text strings."""
for i, text in enumerate(texts):
is_last = i == len(texts) - 1
@@ -22,10 +23,13 @@ def _make_responses(
)
def _dummy_parser(text: str) -> dict[str, Any]:
def _dummier_parser(text: str) -> dict[str, Any]:
return {"name": "test_fn", "arguments": {"arg": text}}
_dummy_parser = make_mlx_parser("<tool_call>", "</tool_call>", _dummier_parser)
class TestParseToolCalls:
"""Tests for parse_tool_calls generator."""
@@ -35,8 +39,6 @@ class TestParseToolCalls:
results = list(
parse_tool_calls(
_make_responses(texts, finish_on_last=False),
"<tool_call>",
"</tool_call>",
_dummy_parser,
)
)
@@ -50,8 +52,6 @@ class TestParseToolCalls:
results = list(
parse_tool_calls(
_make_responses(texts),
"<tool_call>",
"</tool_call>",
_dummy_parser,
)
)
@@ -76,9 +76,7 @@ class TestParseToolCalls:
results = list(
parse_tool_calls(
_make_responses(texts, finish_on_last=False),
"<tool_call>",
"</tool_call>",
_failing_parser,
make_mlx_parser("<tool_call>", "</tool_call>", _failing_parser),
)
)

48
uv.lock generated
View File

@@ -377,8 +377,8 @@ dependencies = [
{ name = "hypercorn", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "loguru", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "mflux", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "mlx", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "mlx", extra = ["cpu"], marker = "sys_platform == 'linux'" },
{ name = "mlx", version = "0.30.6", source = { registry = "https://pypi.org/simple" }, extra = ["cpu"], marker = "sys_platform == 'linux'" },
{ name = "mlx", version = "0.30.7.dev20260218+14841977", source = { git = "https://github.com/rltakashige/mlx-jaccl-fix-small-recv.git?branch=address-rdma-gpu-locks#1484197707f35186ad3bd614357c7c47fdf86ebc" }, marker = "sys_platform == 'darwin'" },
{ name = "mlx-lm", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "msgspec", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "openai-harmony", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
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