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1 Commits

Author SHA1 Message Date
Alex Cheema f8748eade1 Add MLX compute device backend selection (cpu/gpu/auto)
Add MlxDevice enum (Auto/Cpu/Gpu) that flows from the API through
PlaceInstance commands to instance creation and runner initialization.
The device is set via mx.set_default_device() in bootstrap.py before
the runner imports MLX, ensuring all subsequent operations use the
chosen device.

This enables Linux CPU-only machines to participate in inference and
allows forcing CPU mode for testing or when GPU has issues. Default
is Auto (current behavior) for full backward compatibility.

Closes #958

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 10:52:11 -08:00
120 changed files with 2151 additions and 6489 deletions
+1 -1
View File
@@ -200,7 +200,7 @@ class Module(dict):
) -> mx.MX_ARRAY_TREE: # -> dict[Any, Any | dict[Any, Any | dict[Any, Any] | list[Any]] | dict[Any, Any] | list[Any]]:
"""Return the submodules that do not contain other modules."""
def update(self, parameters: dict[str, Any], strict: bool = ...) -> Module:
def update(self, parameters: dict, strict: bool = ...) -> Module:
"""Replace the parameters of this Module with the provided ones in the
dict of dicts and lists.
+8 -11
View File
@@ -7,10 +7,7 @@ from typing import Any, Callable, Dict, List, Optional, Tuple, Union
from mlx.core import MX_ARRAY_TREE
def tree_map(
fn: Callable[..., Any],
tree: Any,
*rest: Any,
is_leaf: Callable[..., bool] | None = ...,
fn: Callable, tree: Any, *rest: Any, is_leaf: Optional[Callable] = ...
) -> Any:
"""Applies ``fn`` to the leaves of the Python tree ``tree`` and
returns a new collection with the results.
@@ -47,11 +44,11 @@ def tree_map(
"""
def tree_map_with_path(
fn: Callable[..., Any],
fn: Callable,
tree: Any,
*rest: Any,
is_leaf: Callable[..., bool] | None = ...,
path: str | None = ...,
is_leaf: Optional[Callable] = ...,
path: Optional[Any] = ...,
) -> Any:
"""Applies ``fn`` to the path and leaves of the Python tree ``tree`` and
returns a new collection with the results.
@@ -83,9 +80,9 @@ def tree_map_with_path(
def tree_flatten(
tree: Any,
prefix: str = ...,
is_leaf: Callable[..., bool] | None = ...,
destination: list[tuple[str, Any]] | dict[str, Any] | None = ...,
) -> list[tuple[str, Any]] | dict[str, Any]:
is_leaf: Optional[Callable] = ...,
destination: Optional[Union[List[Tuple[str, Any]], Dict[str, Any]]] = ...,
) -> Union[List[Tuple[str, Any]], Dict[str, Any]]:
"""Flattens a Python tree to a list of key, value tuples.
The keys are using the dot notation to define trees of arbitrary depth and
@@ -121,7 +118,7 @@ def tree_flatten(
the Python tree.
"""
def tree_unflatten(tree: list[tuple[str, Any]] | dict[str, Any]) -> Any:
def tree_unflatten(tree: Union[List[Tuple[str, Any]], Dict[str, Any]]) -> Any:
"""Recreate a Python tree from its flat representation.
.. code-block:: python
@@ -1,46 +0,0 @@
"""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: ...
Generated
+125 -11
View File
@@ -141,6 +141,12 @@ 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"
@@ -298,6 +304,19 @@ 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"
@@ -497,6 +516,15 @@ 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"
@@ -718,6 +746,29 @@ 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"
@@ -888,17 +939,22 @@ name = "exo_pyo3_bindings"
version = "0.0.1"
dependencies = [
"delegate",
"derive_more",
"env_logger",
"extend",
"futures-lite",
"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",
]
@@ -914,12 +970,6 @@ dependencies = [
"syn 2.0.111",
]
[[package]]
name = "fastrand"
version = "2.3.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "37909eebbb50d72f9059c3b6d82c0463f2ff062c9e95845c43a6c9c0355411be"
[[package]]
name = "ff"
version = "0.13.1"
@@ -1028,10 +1078,7 @@ version = "2.6.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f78e10609fe0e0b3f4157ffab1876319b5b0db102a2c60dc4626306dc46b44ad"
dependencies = [
"fastrand",
"futures-core",
"futures-io",
"parking",
"pin-project-lite",
]
@@ -1593,6 +1640,17 @@ 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"
@@ -1771,6 +1829,12 @@ 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"
@@ -2760,13 +2824,16 @@ name = "networking"
version = "0.0.1"
dependencies = [
"delegate",
"derive_more",
"either",
"extend",
"futures-lite",
"futures",
"futures-timer",
"impl-trait-for-tuples",
"keccak-const",
"libp2p",
"log",
"thiserror 2.0.17",
"tokio",
"tracing-subscriber",
"util",
@@ -2851,6 +2918,17 @@ 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"
@@ -3201,14 +3279,28 @@ 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",
]
@@ -3649,6 +3741,16 @@ 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"
@@ -4513,12 +4615,24 @@ 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"
+30 -1
View File
@@ -26,20 +26,49 @@ 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-lite = "2.6.1"
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"
+2 -16
View File
@@ -72,30 +72,16 @@ There are two ways to run exo:
### Run from Source (macOS)
If you have [Nix](https://nixos.org/) installed, you can skip most of the steps below and run exo directly:
```bash
nix run .#exo
```
**Note:** To accept the Cachix binary cache (and avoid the Xcode Metal ToolChain), add to `/etc/nix/nix.conf`:
```
trusted-users = root (or your username)
experimental-features = nix-command flakes
```
Then restart the Nix daemon: `sudo launchctl kickstart -k system/org.nixos.nix-daemon`
**Prerequisites:**
- [Xcode](https://developer.apple.com/xcode/) (provides the Metal ToolChain required for MLX compilation)
- [brew](https://github.com/Homebrew/brew) (for simple package management on macOS)
```bash
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
```
- [uv](https://github.com/astral-sh/uv) (for Python dependency management)
- [macmon](https://github.com/vladkens/macmon) (for hardware monitoring on Apple Silicon)
- [node](https://github.com/nodejs/node) (for building the dashboard)
```bash
brew install uv macmon node
```
File diff suppressed because it is too large Load Diff
+458 -35
View File
@@ -1,48 +1,29 @@
# type: ignore
#!/usr/bin/env python3
"""Tool-calling eval for exo's OpenAI-compatible API.
Tests whether models correctly:
- Trigger tool calls when appropriate
- Return valid JSON arguments matching function schemas
- Handle multi-turn tool use (call -> result -> final answer)
- Avoid calling tools when unnecessary
Start exo with a model first, then run:
uv run python tool_call_eval.py --model <model-id>
uv run python tool_call_eval.py --model <model-id> --host 10.0.0.5 --port 52415
uv run python tool_call_eval.py --model <model-id> --repeat 3
uv run python tool_call_eval.py --model <model-id> --scenarios weather_simple calculator_multi_turn
"""
# pyright: reportAny=false, reportUnknownMemberType=false, reportUnknownVariableType=false, reportUnknownArgumentType=false
from __future__ import annotations
import argparse
import contextlib
import http.client
import itertools
import json
import os
import sys
import time
from collections.abc import Callable
from pathlib import Path
from statistics import mean
from typing import Any
from urllib.parse import urlencode
from harness import (
ExoClient,
ExoHttpError,
add_common_instance_args,
instance_id_from_instance,
nodes_used_in_instance,
resolve_model_short_id,
run_planning_phase,
settle_and_fetch_placements,
wait_for_instance_gone,
wait_for_instance_ready,
)
from loguru import logger
from transformers import AutoTokenizer
# Backoff constants for cluster settling retry
_SETTLE_INITIAL_BACKOFF_S = 1.0
_SETTLE_MAX_BACKOFF_S = 60.0
_SETTLE_BACKOFF_MULTIPLIER = 2.0
# Monkey-patch for transformers 5.x compatibility
# Kimi's tokenization_kimi.py imports bytes_to_unicode from the old location
# which was moved in transformers 5.0.0rc2
@@ -122,6 +103,154 @@ def load_tokenizer_for_bench(model_id: str) -> Any:
return AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
class ExoHttpError(RuntimeError):
def __init__(self, status: int, reason: str, body_preview: str):
super().__init__(f"HTTP {status} {reason}: {body_preview}")
self.status = status
class ExoClient:
def __init__(self, host: str, port: int, timeout_s: float = 7200.0):
self.host = host
self.port = port
self.timeout_s = timeout_s
def request_json(
self,
method: str,
path: str,
params: dict[str, Any] | None = None,
body: dict[str, Any] | None = None,
headers: dict[str, str] | None = None,
) -> Any:
if not path.startswith("/"):
path = "/" + path
if params:
path = path + "?" + urlencode(params)
conn = http.client.HTTPConnection(self.host, self.port, timeout=self.timeout_s)
try:
payload: bytes | None = None
hdrs: dict[str, str] = {"Accept": "application/json"}
if body is not None:
payload = json.dumps(body).encode("utf-8")
hdrs["Content-Type"] = "application/json"
if headers:
hdrs.update(headers)
conn.request(method.upper(), path, body=payload, headers=hdrs)
resp = conn.getresponse()
raw = resp.read()
text = raw.decode("utf-8", errors="replace") if raw else ""
if resp.status >= 400:
raise ExoHttpError(resp.status, resp.reason, text[:300])
if not text:
return None
return json.loads(text)
finally:
conn.close()
def post_bench_chat_completions(self, payload: dict[str, Any]) -> dict[str, Any]:
return self.request_json("POST", "/bench/chat/completions", body=payload)
def unwrap_instance(instance: dict[str, Any]) -> dict[str, Any]:
if len(instance) != 1:
raise KeyError(f"Expected 1 key, got keys={list(instance.keys())}")
tag = next(iter(instance))
inner = instance[tag]
if not isinstance(inner, dict):
raise TypeError(f"payload for {tag} must be dict, got {type(inner)}")
return inner
def instance_id_from_instance(instance: dict[str, Any]) -> str:
inner = unwrap_instance(instance)
return str(inner["instanceId"])
def nodes_used_in_instance(instance: dict[str, Any]) -> int:
inner = unwrap_instance(instance)
return len(inner["shardAssignments"]["nodeToRunner"])
def runner_ids_from_instance(instance: dict[str, Any]) -> list[str]:
inner = unwrap_instance(instance)
runner_to_shard = inner["shardAssignments"]["runnerToShard"]
return list(runner_to_shard.keys())
def runner_ready(runner: dict[str, Any]) -> bool:
return "RunnerReady" in runner
def runner_failed(runner: dict[str, Any]) -> bool:
return "RunnerFailed" in runner
def get_runner_failed_message(runner: dict[str, Any]) -> str | None:
if "RunnerFailed" in runner:
return runner["RunnerFailed"].get("errorMessage")
return None
def wait_for_instance_ready(
client: ExoClient, instance_id: str, timeout: float = 24000.0
) -> None:
start_time = time.time()
instance_existed = False
while time.time() - start_time < timeout:
state = client.request_json("GET", "/state")
instances = state.get("instances", {})
if instance_id not in instances:
if instance_existed:
# Instance was deleted after being created - likely due to runner failure
raise RuntimeError(
f"Instance {instance_id} was deleted (runner may have failed)"
)
time.sleep(0.1)
continue
instance_existed = True
instance = instances[instance_id]
runner_ids = runner_ids_from_instance(instance)
runners = state.get("runners", {})
# Check for failed runners first
for rid in runner_ids:
runner = runners.get(rid, {})
if runner_failed(runner):
error_msg = get_runner_failed_message(runner) or "Unknown error"
raise RuntimeError(f"Runner {rid} failed: {error_msg}")
if all(runner_ready(runners.get(rid, {})) for rid in runner_ids):
return
time.sleep(0.1)
raise TimeoutError(f"Instance {instance_id} did not become ready within {timeout=}")
def wait_for_instance_gone(
client: ExoClient, instance_id: str, timeout: float = 3.0
) -> None:
start_time = time.time()
while time.time() - start_time < timeout:
try:
client.request_json("GET", f"/instance/{instance_id}")
time.sleep(0.4)
except ExoHttpError as e:
if e.status == 404:
return
raise TimeoutError(f"Instance {instance_id} did not get deleted within {timeout=}")
def format_peak_memory(b: float) -> str:
for unit in ["B", "KB", "MB", "GB", "TB"]:
if b < 1024.0:
@@ -140,6 +269,184 @@ def parse_int_list(values: list[str]) -> list[int]:
return items
def resolve_model_short_id(client: ExoClient, model_arg: str) -> tuple[str, str]:
models = client.request_json("GET", "/models") or {}
data = models.get("data") or []
for m in data:
if m.get("name").lower() == model_arg.lower():
short_id = str(m["name"])
full_id = str(m.get("hugging_face_id") or m["name"])
return short_id, full_id
for m in data:
if m.get("hugging_face_id") == model_arg:
short_id = str(m["name"])
full_id = str(m["hugging_face_id"])
return short_id, full_id
raise ValueError(f"Model not found in /models: {model_arg}")
def run_planning_phase(
client: ExoClient,
full_model_id: str,
preview: dict[str, Any],
danger_delete: bool,
timeout: float,
settle_deadline: float | None,
) -> None:
"""Check disk space and ensure model is downloaded before benchmarking."""
# Get model size from /models
models = client.request_json("GET", "/models") or {}
model_bytes = 0
for m in models.get("data", []):
if m.get("hugging_face_id") == full_model_id:
model_bytes = m.get("storage_size_megabytes", 0) * 1024 * 1024
break
if not model_bytes:
logger.warning(
f"Could not determine size for {full_model_id}, skipping disk check"
)
return
# Get nodes from preview
inner = unwrap_instance(preview["instance"])
node_ids = list(inner["shardAssignments"]["nodeToRunner"].keys())
runner_to_shard = inner["shardAssignments"]["runnerToShard"]
state = client.request_json("GET", "/state")
downloads = state.get("downloads", {})
node_disk = state.get("nodeDisk", {})
for node_id in node_ids:
node_downloads = downloads.get(node_id, [])
# Check if model already downloaded on this node
already_downloaded = any(
"DownloadCompleted" in p
and unwrap_instance(p["DownloadCompleted"]["shardMetadata"])["modelCard"][
"modelId"
]
== full_model_id
for p in node_downloads
)
if already_downloaded:
continue
# Wait for disk info if settle_deadline is set
disk_info = node_disk.get(node_id, {})
backoff = _SETTLE_INITIAL_BACKOFF_S
while not disk_info and settle_deadline and time.monotonic() < settle_deadline:
remaining = settle_deadline - time.monotonic()
logger.info(
f"Waiting for disk info on {node_id} ({remaining:.0f}s remaining)..."
)
time.sleep(min(backoff, remaining))
backoff = min(backoff * _SETTLE_BACKOFF_MULTIPLIER, _SETTLE_MAX_BACKOFF_S)
state = client.request_json("GET", "/state")
node_disk = state.get("nodeDisk", {})
disk_info = node_disk.get(node_id, {})
if not disk_info:
logger.warning(f"No disk info for {node_id}, skipping space check")
continue
avail = disk_info.get("available", {}).get("inBytes", 0)
if avail >= model_bytes:
continue
if not danger_delete:
raise RuntimeError(
f"Insufficient disk on {node_id}: need {model_bytes // (1024**3)}GB, "
f"have {avail // (1024**3)}GB. Use --danger-delete-downloads to free space."
)
# Delete from smallest to largest
completed = [
(
unwrap_instance(p["DownloadCompleted"]["shardMetadata"])["modelCard"][
"modelId"
],
p["DownloadCompleted"]["totalBytes"]["inBytes"],
)
for p in node_downloads
if "DownloadCompleted" in p
]
for del_model, size in sorted(completed, key=lambda x: x[1]):
logger.info(f"Deleting {del_model} from {node_id} ({size // (1024**2)}MB)")
client.request_json("DELETE", f"/download/{node_id}/{del_model}")
avail += size
if avail >= model_bytes:
break
if avail < model_bytes:
raise RuntimeError(f"Could not free enough space on {node_id}")
# Start downloads (idempotent)
for node_id in node_ids:
runner_id = inner["shardAssignments"]["nodeToRunner"][node_id]
shard = runner_to_shard[runner_id]
client.request_json(
"POST",
"/download/start",
body={
"targetNodeId": node_id,
"shardMetadata": shard,
},
)
logger.info(f"Started download on {node_id}")
# Wait for downloads
start = time.time()
while time.time() - start < timeout:
state = client.request_json("GET", "/state")
downloads = state.get("downloads", {})
all_done = True
for node_id in node_ids:
done = any(
"DownloadCompleted" in p
and unwrap_instance(p["DownloadCompleted"]["shardMetadata"])[
"modelCard"
]["modelId"]
== full_model_id
for p in downloads.get(node_id, [])
)
failed = [
p["DownloadFailed"]["errorMessage"]
for p in downloads.get(node_id, [])
if "DownloadFailed" in p
and unwrap_instance(p["DownloadFailed"]["shardMetadata"])["modelCard"][
"modelId"
]
== full_model_id
]
if failed:
raise RuntimeError(f"Download failed on {node_id}: {failed[0]}")
if not done:
all_done = False
if all_done:
return
time.sleep(1)
raise TimeoutError("Downloads did not complete in time")
def placement_filter(instance_meta: str, wanted: str) -> bool:
s = (instance_meta or "").lower()
if wanted == "both":
return ("ring" in s) or ("jaccl" in s)
return wanted in s
def sharding_filter(sharding: str, wanted: str) -> bool:
s = (sharding or "").lower()
if wanted == "both":
return ("pipeline" in s) or ("tensor" in s)
return wanted in s
def run_one_completion(
client: ExoClient, model_id: str, pp_hint: int, tg: int, prompt_sizer: PromptSizer
) -> tuple[dict[str, Any], int]:
@@ -231,12 +538,76 @@ class PromptSizer:
return content, tok
def fetch_and_filter_placements(
client: ExoClient, full_model_id: str, args: argparse.Namespace
) -> list[dict[str, Any]]:
previews_resp = client.request_json(
"GET", "/instance/previews", params={"model_id": full_model_id}
)
previews = previews_resp.get("previews") or []
selected: list[dict[str, Any]] = []
for p in previews:
if p.get("error") is not None:
continue
if not placement_filter(str(p.get("instance_meta", "")), args.instance_meta):
continue
if not sharding_filter(str(p.get("sharding", "")), args.sharding):
continue
instance = p.get("instance")
if not isinstance(instance, dict):
continue
n = nodes_used_in_instance(instance)
# Skip tensor ring single node as it is pointless when pipeline ring
if n == 1 and (
(args.sharding == "both" and "tensor" in p.get("sharding", "").lower())
or (
args.instance_meta == "both"
and "jaccl" in p.get("instance_meta", "").lower()
)
):
continue
if (
args.skip_pipeline_jaccl
and (
args.instance_meta == "both"
and "jaccl" in p.get("instance_meta", "").lower()
)
and (
args.sharding == "both" and "pipeline" in p.get("sharding", "").lower()
)
):
continue
if (
args.skip_tensor_ring
and (
args.instance_meta == "both"
and "ring" in p.get("instance_meta", "").lower()
)
and (args.sharding == "both" and "tensor" in p.get("sharding", "").lower())
):
continue
if args.min_nodes <= n <= args.max_nodes:
selected.append(p)
return selected
def main() -> int:
ap = argparse.ArgumentParser(
prog="exo-bench",
description="Benchmark exo model throughput across placement previews.",
)
add_common_instance_args(ap)
ap.add_argument("--host", default=os.environ.get("EXO_HOST", "localhost"))
ap.add_argument(
"--port", type=int, default=int(os.environ.get("EXO_PORT", "52415"))
)
ap.add_argument("--model", required=True, help="Model short id or huggingface id")
ap.add_argument(
"--pp",
nargs="+",
@@ -249,6 +620,34 @@ def main() -> int:
required=True,
help="Generation lengths (ints). Accepts commas.",
)
ap.add_argument(
"--max-nodes",
type=int,
default=4,
help="Only consider placements using <= this many nodes.",
)
ap.add_argument(
"--min-nodes",
type=int,
default=1,
help="Only consider placements using >= this many nodes.",
)
ap.add_argument(
"--instance-meta", choices=["ring", "jaccl", "both"], default="both"
)
ap.add_argument(
"--sharding", choices=["pipeline", "tensor", "both"], default="both"
)
ap.add_argument(
"--skip-pipeline-jaccl",
action="store_true",
help="Skip pipeline+jaccl placements, as it's often pointless.",
)
ap.add_argument(
"--skip-tensor-ring",
action="store_true",
help="Skip tensor+ring placements, as it's so slow.",
)
ap.add_argument(
"--repeat", type=int, default=1, help="Repetitions per (pp,tg) pair."
)
@@ -258,6 +657,9 @@ def main() -> int:
default=0,
help="Warmup runs per placement (uses first pp/tg).",
)
ap.add_argument(
"--timeout", type=float, default=7200.0, help="HTTP timeout (seconds)."
)
ap.add_argument(
"--json-out",
default="bench/results.json",
@@ -272,6 +674,17 @@ def main() -> int:
action="store_true",
help="Force all pp×tg combinations (cartesian product) even when lists have equal length.",
)
ap.add_argument(
"--settle-timeout",
type=float,
default=0,
help="Max seconds to wait for the cluster to produce valid placements (0 = try once).",
)
ap.add_argument(
"--danger-delete-downloads",
action="store_true",
help="Delete existing models from smallest to largest to make room for benchmark model.",
)
args = ap.parse_args()
pp_list = parse_int_list(args.pp)
@@ -306,10 +719,24 @@ def main() -> int:
logger.error("[exo-bench] tokenizer usable but prompt sizing failed")
raise
selected = settle_and_fetch_placements(
client, full_model_id, args, settle_timeout=args.settle_timeout
settle_deadline = (
time.monotonic() + args.settle_timeout if args.settle_timeout > 0 else None
)
selected = fetch_and_filter_placements(client, full_model_id, args)
if not selected and settle_deadline:
backoff = _SETTLE_INITIAL_BACKOFF_S
while not selected and time.monotonic() < settle_deadline:
remaining = settle_deadline - time.monotonic()
logger.warning(
f"No valid placements yet (cluster may still be settling). "
f"Retrying in {backoff:.1f}s ({remaining:.0f}s remaining)..."
)
time.sleep(min(backoff, remaining))
backoff = min(backoff * _SETTLE_BACKOFF_MULTIPLIER, _SETTLE_MAX_BACKOFF_S)
selected = fetch_and_filter_placements(client, full_model_id, args)
if not selected:
logger.error("No valid placements matched your filters.")
return 1
@@ -333,10 +760,6 @@ def main() -> int:
if args.dry_run:
return 0
settle_deadline = (
time.monotonic() + args.settle_timeout if args.settle_timeout > 0 else None
)
logger.info("Planning phase: checking downloads...")
run_planning_phase(
client,
-477
View File
@@ -1,477 +0,0 @@
# type: ignore
from __future__ import annotations
import argparse
import http.client
import json
import os
import time
from typing import Any
from urllib.parse import urlencode
from loguru import logger
_SETTLE_INITIAL_BACKOFF_S = 1.0
_SETTLE_MAX_BACKOFF_S = 60.0
_SETTLE_BACKOFF_MULTIPLIER = 2.0
class ExoHttpError(RuntimeError):
def __init__(self, status: int, reason: str, body_preview: str):
super().__init__(f"HTTP {status} {reason}: {body_preview}")
self.status = status
class ExoClient:
def __init__(self, host: str, port: int, timeout_s: float = 7200.0):
self.host = host
self.port = port
self.timeout_s = timeout_s
def request_json(
self,
method: str,
path: str,
params: dict[str, Any] | None = None,
body: dict[str, Any] | None = None,
headers: dict[str, str] | None = None,
) -> Any:
if not path.startswith("/"):
path = "/" + path
if params:
path = path + "?" + urlencode(params)
conn = http.client.HTTPConnection(self.host, self.port, timeout=self.timeout_s)
try:
payload: bytes | None = None
hdrs: dict[str, str] = {"Accept": "application/json"}
if body is not None:
payload = json.dumps(body).encode("utf-8")
hdrs["Content-Type"] = "application/json"
if headers:
hdrs.update(headers)
conn.request(method.upper(), path, body=payload, headers=hdrs)
resp = conn.getresponse()
raw = resp.read()
text = raw.decode("utf-8", errors="replace") if raw else ""
if resp.status >= 400:
raise ExoHttpError(resp.status, resp.reason, text[:300])
if not text:
return None
return json.loads(text)
finally:
conn.close()
def post_bench_chat_completions(self, payload: dict[str, Any]) -> dict[str, Any]:
return self.request_json("POST", "/bench/chat/completions", body=payload)
def unwrap_instance(instance: dict[str, Any]) -> dict[str, Any]:
if len(instance) != 1:
raise KeyError(f"Expected 1 key, got keys={list(instance.keys())}")
tag = next(iter(instance))
inner = instance[tag]
if not isinstance(inner, dict):
raise TypeError(f"payload for {tag} must be dict, got {type(inner)}")
return inner
def instance_id_from_instance(instance: dict[str, Any]) -> str:
inner = unwrap_instance(instance)
return str(inner["instanceId"])
def nodes_used_in_instance(instance: dict[str, Any]) -> int:
inner = unwrap_instance(instance)
return len(inner["shardAssignments"]["nodeToRunner"])
def runner_ids_from_instance(instance: dict[str, Any]) -> list[str]:
inner = unwrap_instance(instance)
runner_to_shard = inner["shardAssignments"]["runnerToShard"]
return list(runner_to_shard.keys())
def runner_ready(runner: dict[str, Any]) -> bool:
return "RunnerReady" in runner
def runner_failed(runner: dict[str, Any]) -> bool:
return "RunnerFailed" in runner
def get_runner_failed_message(runner: dict[str, Any]) -> str | None:
if "RunnerFailed" in runner:
return runner["RunnerFailed"].get("errorMessage")
return None
def wait_for_instance_ready(
client: ExoClient, instance_id: str, timeout: float = 24000.0
) -> None:
start_time = time.time()
instance_existed = False
while time.time() - start_time < timeout:
state = client.request_json("GET", "/state")
instances = state.get("instances", {})
if instance_id not in instances:
if instance_existed:
# Instance was deleted after being created - likely due to runner failure
raise RuntimeError(
f"Instance {instance_id} was deleted (runner may have failed)"
)
time.sleep(0.1)
continue
instance_existed = True
instance = instances[instance_id]
runner_ids = runner_ids_from_instance(instance)
runners = state.get("runners", {})
# Check for failed runners first
for rid in runner_ids:
runner = runners.get(rid, {})
if runner_failed(runner):
error_msg = get_runner_failed_message(runner) or "Unknown error"
raise RuntimeError(f"Runner {rid} failed: {error_msg}")
if all(runner_ready(runners.get(rid, {})) for rid in runner_ids):
return
time.sleep(0.1)
raise TimeoutError(f"Instance {instance_id} did not become ready within {timeout=}")
def wait_for_instance_gone(
client: ExoClient, instance_id: str, timeout: float = 3.0
) -> None:
start_time = time.time()
while time.time() - start_time < timeout:
try:
client.request_json("GET", f"/instance/{instance_id}")
time.sleep(0.4)
except ExoHttpError as e:
if e.status == 404:
return
raise
raise TimeoutError(f"Instance {instance_id} did not get deleted within {timeout=}")
def resolve_model_short_id(client: ExoClient, model_arg: str) -> tuple[str, str]:
models = client.request_json("GET", "/models") or {}
data = models.get("data") or []
for m in data:
if (m.get("name") or "").lower() == model_arg.lower():
short_id = str(m["name"])
full_id = str(m.get("hugging_face_id") or m["name"])
return short_id, full_id
for m in data:
if m.get("hugging_face_id") == model_arg:
short_id = str(m["name"])
full_id = str(m["hugging_face_id"])
return short_id, full_id
raise ValueError(f"Model not found in /models: {model_arg}")
def placement_filter(instance_meta: str, wanted: str) -> bool:
s = (instance_meta or "").lower()
if wanted == "both":
return ("ring" in s) or ("jaccl" in s)
return wanted in s
def sharding_filter(sharding: str, wanted: str) -> bool:
s = (sharding or "").lower()
if wanted == "both":
return ("pipeline" in s) or ("tensor" in s)
return wanted in s
def fetch_and_filter_placements(
client: ExoClient, full_model_id: str, args: argparse.Namespace
) -> list[dict[str, Any]]:
previews_resp = client.request_json(
"GET", "/instance/previews", params={"model_id": full_model_id}
)
previews = previews_resp.get("previews") or []
selected: list[dict[str, Any]] = []
for p in previews:
if p.get("error") is not None:
continue
if not placement_filter(str(p.get("instance_meta", "")), args.instance_meta):
continue
if not sharding_filter(str(p.get("sharding", "")), args.sharding):
continue
instance = p.get("instance")
if not isinstance(instance, dict):
continue
n = nodes_used_in_instance(instance)
# Skip tensor ring single node as it is pointless when pipeline ring
if n == 1 and (
(args.sharding == "both" and "tensor" in p.get("sharding", "").lower())
or (
args.instance_meta == "both"
and "jaccl" in p.get("instance_meta", "").lower()
)
):
continue
if (
args.skip_pipeline_jaccl
and (
args.instance_meta == "both"
and "jaccl" in p.get("instance_meta", "").lower()
)
and (
args.sharding == "both" and "pipeline" in p.get("sharding", "").lower()
)
):
continue
if (
args.skip_tensor_ring
and (
args.instance_meta == "both"
and "ring" in p.get("instance_meta", "").lower()
)
and (args.sharding == "both" and "tensor" in p.get("sharding", "").lower())
):
continue
if args.min_nodes <= n <= args.max_nodes:
selected.append(p)
return selected
def settle_and_fetch_placements(
client: ExoClient,
full_model_id: str,
args: argparse.Namespace,
settle_timeout: float = 0,
) -> list[dict[str, Any]]:
selected = fetch_and_filter_placements(client, full_model_id, args)
if not selected and settle_timeout > 0:
backoff = _SETTLE_INITIAL_BACKOFF_S
deadline = time.monotonic() + settle_timeout
while not selected and time.monotonic() < deadline:
remaining = deadline - time.monotonic()
logger.warning(
f"No valid placements yet (cluster may still be settling). "
f"Retrying in {backoff:.1f}s ({remaining:.0f}s remaining)..."
)
time.sleep(min(backoff, remaining))
backoff = min(backoff * _SETTLE_BACKOFF_MULTIPLIER, _SETTLE_MAX_BACKOFF_S)
selected = fetch_and_filter_placements(client, full_model_id, args)
return selected
def run_planning_phase(
client: ExoClient,
full_model_id: str,
preview: dict[str, Any],
danger_delete: bool,
timeout: float,
settle_deadline: float | None,
) -> None:
"""Check disk space and ensure model is downloaded before benchmarking."""
# Get model size from /models
models = client.request_json("GET", "/models") or {}
model_bytes = 0
for m in models.get("data", []):
if m.get("hugging_face_id") == full_model_id:
model_bytes = m.get("storage_size_megabytes", 0) * 1024 * 1024
break
if not model_bytes:
logger.warning(
f"Could not determine size for {full_model_id}, skipping disk check"
)
return
# Get nodes from preview
inner = unwrap_instance(preview["instance"])
node_ids = list(inner["shardAssignments"]["nodeToRunner"].keys())
runner_to_shard = inner["shardAssignments"]["runnerToShard"]
state = client.request_json("GET", "/state")
downloads = state.get("downloads", {})
node_disk = state.get("nodeDisk", {})
for node_id in node_ids:
node_downloads = downloads.get(node_id, [])
# Check if model already downloaded on this node
already_downloaded = any(
"DownloadCompleted" in p
and unwrap_instance(p["DownloadCompleted"]["shardMetadata"])["modelCard"][
"modelId"
]
== full_model_id
for p in node_downloads
)
if already_downloaded:
continue
# Wait for disk info if settle_deadline is set
disk_info = node_disk.get(node_id, {})
backoff = _SETTLE_INITIAL_BACKOFF_S
while not disk_info and settle_deadline and time.monotonic() < settle_deadline:
remaining = settle_deadline - time.monotonic()
logger.info(
f"Waiting for disk info on {node_id} ({remaining:.0f}s remaining)..."
)
time.sleep(min(backoff, remaining))
backoff = min(backoff * _SETTLE_BACKOFF_MULTIPLIER, _SETTLE_MAX_BACKOFF_S)
state = client.request_json("GET", "/state")
node_disk = state.get("nodeDisk", {})
disk_info = node_disk.get(node_id, {})
if not disk_info:
logger.warning(f"No disk info for {node_id}, skipping space check")
continue
avail = disk_info.get("available", {}).get("inBytes", 0)
if avail >= model_bytes:
continue
if not danger_delete:
raise RuntimeError(
f"Insufficient disk on {node_id}: need {model_bytes // (1024**3)}GB, "
f"have {avail // (1024**3)}GB. Use --danger-delete-downloads to free space."
)
# Delete from smallest to largest
completed = [
(
unwrap_instance(p["DownloadCompleted"]["shardMetadata"])["modelCard"][
"modelId"
],
p["DownloadCompleted"]["totalBytes"]["inBytes"],
)
for p in node_downloads
if "DownloadCompleted" in p
]
for del_model, size in sorted(completed, key=lambda x: x[1]):
logger.info(f"Deleting {del_model} from {node_id} ({size // (1024**2)}MB)")
client.request_json("DELETE", f"/download/{node_id}/{del_model}")
avail += size
if avail >= model_bytes:
break
if avail < model_bytes:
raise RuntimeError(f"Could not free enough space on {node_id}")
# Start downloads (idempotent)
for node_id in node_ids:
runner_id = inner["shardAssignments"]["nodeToRunner"][node_id]
shard = runner_to_shard[runner_id]
client.request_json(
"POST",
"/download/start",
body={
"targetNodeId": node_id,
"shardMetadata": shard,
},
)
logger.info(f"Started download on {node_id}")
# Wait for downloads
start = time.time()
while time.time() - start < timeout:
state = client.request_json("GET", "/state")
downloads = state.get("downloads", {})
all_done = True
for node_id in node_ids:
done = any(
"DownloadCompleted" in p
and unwrap_instance(p["DownloadCompleted"]["shardMetadata"])[
"modelCard"
]["modelId"]
== full_model_id
for p in downloads.get(node_id, [])
)
failed = [
p["DownloadFailed"]["errorMessage"]
for p in downloads.get(node_id, [])
if "DownloadFailed" in p
and unwrap_instance(p["DownloadFailed"]["shardMetadata"])["modelCard"][
"modelId"
]
== full_model_id
]
if failed:
raise RuntimeError(f"Download failed on {node_id}: {failed[0]}")
if not done:
all_done = False
if all_done:
return
time.sleep(1)
raise TimeoutError("Downloads did not complete in time")
def add_common_instance_args(ap: argparse.ArgumentParser) -> None:
ap.add_argument("--host", default=os.environ.get("EXO_HOST", "localhost"))
ap.add_argument(
"--port", type=int, default=int(os.environ.get("EXO_PORT", "52415"))
)
ap.add_argument("--model", required=True, help="Model short id or huggingface id")
ap.add_argument(
"--max-nodes",
type=int,
default=4,
help="Only consider placements using <= this many nodes.",
)
ap.add_argument(
"--min-nodes",
type=int,
default=1,
help="Only consider placements using >= this many nodes.",
)
ap.add_argument(
"--instance-meta", choices=["ring", "jaccl", "both"], default="both"
)
ap.add_argument(
"--sharding", choices=["pipeline", "tensor", "both"], default="both"
)
ap.add_argument(
"--skip-pipeline-jaccl",
action="store_true",
help="Skip pipeline+jaccl placements, as it's often pointless.",
)
ap.add_argument(
"--skip-tensor-ring",
action="store_true",
help="Skip tensor+ring placements, as it's so slow.",
)
ap.add_argument(
"--timeout", type=float, default=7200.0, help="HTTP timeout (seconds)."
)
ap.add_argument(
"--settle-timeout",
type=float,
default=0,
help="Max seconds to wait for the cluster to produce valid placements (0 = try once).",
)
ap.add_argument(
"--danger-delete-downloads",
action="store_true",
help="Delete existing models from smallest to largest to make room for benchmark model.",
)
-1
View File
@@ -4,7 +4,6 @@ version = "0.1.0"
description = "Benchmarking tool for exo distributed inference"
requires-python = ">=3.13"
dependencies = [
"httpx>=0.27.0",
"loguru>=0.7.3",
"transformers>=5.0.0",
"huggingface-hub>=0.33.4",
-306
View File
@@ -1,306 +0,0 @@
# Tool definitions — each becomes an OpenAI function tool.
# All scenarios get all tools unless they specify a `tools` list.
[tools.get_current_weather]
description = "Get the current weather in a given location"
required = ["location"]
[tools.get_current_weather.properties.location]
type = "string"
description = "City and state, e.g. San Francisco, CA"
[tools.get_current_weather.properties.unit]
type = "string"
enum = ["celsius", "fahrenheit"]
description = "Temperature unit"
[tools.calculate]
description = "Evaluate a mathematical expression and return the numeric result"
required = ["expression"]
[tools.calculate.properties.expression]
type = "string"
description = "The math expression to evaluate, e.g. '2 + 3 * 4'"
[tools.search_products]
description = "Search for products in a catalog by query, category, and price"
required = ["query"]
[tools.search_products.properties.query]
type = "string"
description = "Search query string"
[tools.search_products.properties.category]
type = "string"
enum = ["electronics", "clothing", "food", "books"]
description = "Product category to filter by"
[tools.search_products.properties.max_price]
type = "number"
description = "Maximum price in USD"
[tools.create_todos]
description = "Create a structured todo list"
required = ["todos"]
[tools.create_todos.properties.todos]
type = "array"
description = "List of todo items"
[tools.create_todos.properties.todos.items]
type = "object"
required = ["content", "status", "priority"]
[tools.create_todos.properties.todos.items.properties.content]
type = "string"
description = "The todo item text"
[tools.create_todos.properties.todos.items.properties.status]
type = "string"
description = "Status: pending, in_progress, or completed"
[tools.create_todos.properties.todos.items.properties.priority]
type = "string"
description = "Priority: low, normal, or high"
# -- Should call a tool --
[[scenarios]]
name = "weather_simple"
description = "Basic weather query -> get_current_weather"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[[scenarios.messages]]
role = "user"
content = "What's the weather like in Tokyo right now?"
[[scenarios]]
name = "calculator_simple"
description = "Math question -> calculate"
expect_tool_call = true
expected_function = "calculate"
required_arg_keys = ["expression"]
[[scenarios.messages]]
role = "user"
content = "Use the calculator to compute 3847 * 926 + 17293"
[[scenarios]]
name = "search_with_filters"
description = "Product search with category and price filter"
expect_tool_call = true
expected_function = "search_products"
required_arg_keys = ["query"]
[[scenarios.messages]]
role = "user"
content = "Find me electronics under $50"
# -- Multi-turn: tool call then follow-up --
[[scenarios]]
name = "weather_multi_turn"
description = "Weather query -> tool result -> natural language summary"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[scenarios.tool_result]
temperature = "18C"
condition = "partly cloudy"
humidity = "65%"
wind = "12 km/h NW"
[[scenarios.messages]]
role = "user"
content = "What's the weather in Paris?"
[[scenarios]]
name = "calculator_multi_turn"
description = "Math query -> tool result -> model reports the answer"
expect_tool_call = true
expected_function = "calculate"
required_arg_keys = ["expression"]
[scenarios.tool_result]
result = 491682
[[scenarios.messages]]
role = "user"
content = "Use the calculator to compute 1847 * 263 + 5921"
[[scenarios]]
name = "search_multi_turn"
description = "Search query -> tool result -> model summarizes products"
expect_tool_call = true
expected_function = "search_products"
required_arg_keys = ["query"]
[[scenarios.tool_result.results]]
name = "Hands-On Machine Learning"
price = 45.99
rating = 4.8
[[scenarios.tool_result.results]]
name = "Deep Learning with Python"
price = 39.99
rating = 4.6
[[scenarios.messages]]
role = "user"
content = "Search for books about machine learning"
# -- Sequential tool calls --
[[scenarios]]
name = "chained_tool_calls_same"
description = "Thinking + weather(Tokyo) -> result -> model must call weather(London)"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[[scenarios.messages]]
role = "user"
content = "Compare the weather in Tokyo and London."
[[scenarios.messages]]
role = "assistant"
content = "I'll check both cities. Let me start with Tokyo."
[[scenarios.messages.tool_calls]]
id = "call_1"
name = "get_current_weather"
arguments = { location = "Tokyo" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_1"
content = '{"temperature": "25C", "condition": "sunny"}'
[[scenarios]]
name = "chained_tool_calls_different"
description = "Thinking + weather(Berlin) -> result -> model must call calculator"
expect_tool_call = true
expected_function = "calculate"
required_arg_keys = ["expression"]
[[scenarios.messages]]
role = "user"
content = "What's the weather in Berlin, and also use the calculator to compute 4819 * 37 + 291."
[[scenarios.messages]]
role = "assistant"
content = "I'll handle both. Let me check Berlin's weather first."
[[scenarios.messages.tool_calls]]
id = "call_2"
name = "get_current_weather"
arguments = { location = "Berlin" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_2"
content = '{"temperature": "12C", "condition": "rainy"}'
[[scenarios]]
name = "chained_tool_calls_three"
description = "Two prior thinking+tool calls -> results -> model must make a third"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[[scenarios.messages]]
role = "user"
content = "Compare weather in Tokyo, Paris, and London."
[[scenarios.messages]]
role = "assistant"
content = "I'll check all three cities. Starting with Tokyo."
[[scenarios.messages.tool_calls]]
id = "call_3"
name = "get_current_weather"
arguments = { location = "Tokyo" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_3"
content = '{"temperature": "25C", "condition": "sunny"}'
[[scenarios.messages]]
role = "assistant"
content = "Got Tokyo. Now checking Paris."
[[scenarios.messages.tool_calls]]
id = "call_4"
name = "get_current_weather"
arguments = { location = "Paris" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_4"
content = '{"temperature": "18C", "condition": "cloudy"}'
# -- Nested object schema (regression for lossy chat template rendering) --
[[scenarios]]
name = "nested_schema_tool_call"
description = "Tool call with nested object array schema -> create_todos"
expect_tool_call = true
expected_function = "create_todos"
required_arg_keys = ["todos"]
nested_array_key = "todos"
required_item_keys = ["content", "status", "priority"]
tools = ["create_todos"]
[[scenarios.messages]]
role = "user"
content = "Create a todo list with 3 items to learn Python"
# -- Tool name integrity (regression for harmony token leaking into name) --
[tools.glob]
description = "Search for files matching a glob pattern in the codebase"
required = ["pattern"]
[tools.glob.properties.pattern]
type = "string"
description = "The glob pattern to match files against, e.g. '**/*.py'"
[tools.glob.properties.path]
type = "string"
description = "The directory to search in"
[[scenarios]]
name = "tool_name_integrity"
description = "Tool name must not contain harmony tokens like <|channel|>"
expect_tool_call = true
expected_function = "glob"
required_arg_keys = ["pattern"]
tools = ["glob"]
[[scenarios.messages]]
role = "user"
content = "Find all Python files in the src directory"
# -- Should NOT call a tool --
[[scenarios]]
name = "no_tool_joke"
description = "Joke request should NOT trigger any tool"
expect_tool_call = false
[[scenarios.messages]]
role = "user"
content = "Tell me a funny joke about cats."
[[scenarios]]
name = "no_tool_factual"
description = "Factual question answerable from training data"
expect_tool_call = false
[[scenarios.messages]]
role = "user"
content = "What is the capital of Japan?"
+78 -85
View File
@@ -14,7 +14,6 @@
totalTokens,
thinkingEnabled as thinkingEnabledStore,
setConversationThinking,
stopGeneration,
} from "$lib/stores/app.svelte";
import ChatAttachments from "./ChatAttachments.svelte";
import ImageParamsPanel from "./ImageParamsPanel.svelte";
@@ -104,7 +103,7 @@
const modelSupportsThinking = $derived(() => {
if (!currentModel) return false;
const caps = modelCapabilities[currentModel] || [];
return caps.includes("thinking_toggle") && caps.includes("text");
return caps.includes("thinking") && caps.includes("text");
});
const isEditOnlyWithoutImage = $derived(
@@ -654,92 +653,86 @@
style="min-height: 28px; max-height: 150px;"
></textarea>
{#if loading}
<button
type="button"
onclick={() => stopGeneration()}
class="px-2.5 sm:px-4 py-1.5 sm:py-2 rounded text-xs sm:text-xs tracking-[0.1em] sm:tracking-[0.15em] font-medium transition-all duration-200 whitespace-nowrap bg-exo-medium-gray/70 text-exo-light-gray hover:bg-exo-medium-gray hover:text-white"
aria-label="Stop generation"
>
<button
type="submit"
disabled={!canSend || loading || isEditOnlyWithoutImage}
class="px-2.5 sm:px-4 py-1.5 sm:py-2 rounded text-xs sm:text-xs tracking-[0.1em] sm:tracking-[0.15em] uppercase font-medium transition-all duration-200 whitespace-nowrap
{!canSend || loading || isEditOnlyWithoutImage
? 'bg-exo-medium-gray/50 text-exo-light-gray cursor-not-allowed'
: 'bg-exo-yellow text-exo-black hover:bg-exo-yellow-darker hover:shadow-[0_0_20px_rgba(255,215,0,0.3)]'}"
aria-label={shouldShowEditMode
? "Edit image"
: isImageModel()
? "Generate image"
: "Send message"}
>
{#if loading}
<span class="inline-flex items-center gap-1 sm:gap-2">
<svg
class="w-3 h-3 sm:w-3.5 sm:h-3.5"
fill="currentColor"
viewBox="0 0 24 24"
<span
class="w-2.5 h-2.5 sm:w-3 sm:h-3 border-2 border-current border-t-transparent rounded-full animate-spin"
></span>
<span class="hidden sm:inline"
>{shouldShowEditMode
? "EDITING"
: isImageModel()
? "GENERATING"
: "PROCESSING"}</span
>
<rect x="6" y="6" width="12" height="12" rx="1" />
</svg>
<span class="hidden sm:inline">Cancel</span>
<span class="sm:hidden">...</span>
</span>
</button>
{:else}
<button
type="submit"
disabled={!canSend || isEditOnlyWithoutImage}
class="px-2.5 sm:px-4 py-1.5 sm:py-2 rounded text-xs sm:text-xs tracking-[0.1em] sm:tracking-[0.15em] uppercase font-medium transition-all duration-200 whitespace-nowrap
{!canSend || isEditOnlyWithoutImage
? 'bg-exo-medium-gray/50 text-exo-light-gray cursor-not-allowed'
: 'bg-exo-yellow text-exo-black hover:bg-exo-yellow-darker hover:shadow-[0_0_20px_rgba(255,215,0,0.3)]'}"
aria-label={shouldShowEditMode
? "Edit image"
: isImageModel()
? "Generate image"
: "Send message"}
>
{#if shouldShowEditMode}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
</svg>
<span>EDIT</span>
</span>
{:else if isEditOnlyWithoutImage}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
</svg>
<span>EDIT</span>
</span>
{:else if isImageModel()}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<rect x="3" y="3" width="18" height="18" rx="2" ry="2" />
<circle cx="8.5" cy="8.5" r="1.5" />
<polyline points="21 15 16 10 5 21" />
</svg>
<span>GENERATE</span>
</span>
{:else}
SEND
{/if}
</button>
{/if}
{:else if shouldShowEditMode}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
</svg>
<span>EDIT</span>
</span>
{:else if isEditOnlyWithoutImage}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
</svg>
<span>EDIT</span>
</span>
{:else if isImageModel()}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<rect x="3" y="3" width="18" height="18" rx="2" ry="2" />
<circle cx="8.5" cy="8.5" r="1.5" />
<polyline points="21 15 16 10 5 21" />
</svg>
<span>GENERATE</span>
</span>
{:else}
SEND
{/if}
</button>
</div>
<!-- Bottom accent line -->
@@ -3,17 +3,16 @@
messages,
currentResponse,
isLoading,
prefillProgress,
deleteMessage,
editAndRegenerate,
regenerateLastResponse,
regenerateFromToken,
setEditingImage,
} from "$lib/stores/app.svelte";
import type { Message } from "$lib/stores/app.svelte";
import type { MessageAttachment } from "$lib/stores/app.svelte";
import MarkdownContent from "./MarkdownContent.svelte";
import TokenHeatmap from "./TokenHeatmap.svelte";
import PrefillProgressBar from "./PrefillProgressBar.svelte";
import ImageLightbox from "./ImageLightbox.svelte";
interface Props {
@@ -26,7 +25,6 @@
const messageList = $derived(messages());
const response = $derived(currentResponse());
const loading = $derived(isLoading());
const prefill = $derived(prefillProgress());
// Scroll management - user controls scroll, show button when not at bottom
const SCROLL_THRESHOLD = 100;
@@ -430,9 +428,6 @@
{:else}
<!-- Assistant message styling -->
<div class="p-3 sm:p-4">
{#if loading && isLastAssistantMessage(message.id) && prefill && !message.content}
<PrefillProgressBar progress={prefill} class="mb-3" />
{/if}
{#if message.thinking && message.thinking.trim().length > 0}
<div
class="mb-3 rounded border border-exo-yellow/20 bg-exo-black/40"
@@ -26,8 +26,7 @@
downloadedOnNodes = [],
}: HuggingFaceResultItemProps = $props();
function formatNumber(num: number | undefined): string {
if (num == null) return "0";
function formatNumber(num: number): string {
if (num >= 1000000) {
return `${(num / 1000000).toFixed(1)}M`;
} else if (num >= 1000) {
@@ -59,14 +59,13 @@
}
const sizeOptions: ImageGenerationParams["size"][] = [
"auto",
"512x512",
"768x768",
"1024x1024",
"1024x768",
"768x1024",
"1024x1536",
"1536x1024",
"1024x1365",
"1365x1024",
];
const qualityOptions: ImageGenerationParams["quality"][] = [
@@ -177,90 +176,92 @@
<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 -->
<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'
: ''}"
<!-- 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
>
{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"
<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'
: ''}"
>
<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}
{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>
</div>
</div>
{/if}
</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}
<!-- Quality -->
<div class="flex items-center gap-1.5">
@@ -310,7 +311,7 @@
<!-- 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 overflow-x-hidden 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 min-w-max"
style="bottom: calc(100vh - {qualityDropdownPosition()
.top}px + 4px); left: {qualityDropdownPosition().left}px;"
>
@@ -1,232 +0,0 @@
<script lang="ts">
import type {
MetaInstance,
MetaInstanceStatus,
NodeInfo,
} from "$lib/stores/app.svelte";
import {
getMetaInstanceStatus,
getMetaInstanceBackingNodes,
topologyData,
} from "$lib/stores/app.svelte";
interface Props {
metaInstance: MetaInstance;
onDelete?: (metaInstanceId: string) => void;
}
let { metaInstance, onDelete }: Props = $props();
const status: MetaInstanceStatus = $derived(
getMetaInstanceStatus(metaInstance),
);
const backingNodeIds: string[] = $derived(
getMetaInstanceBackingNodes(metaInstance),
);
const statusConfig = $derived.by(() => {
switch (status) {
case "active":
return {
label: "ACTIVE",
dotClass: "bg-green-400",
borderClass:
"border-green-500/30 border-l-green-400",
cornerClass: "border-green-500/50",
glowClass: "shadow-[0_0_6px_rgba(74,222,128,0.4)]",
animate: false,
};
case "provisioning":
return {
label: "PROVISIONING",
dotClass: "bg-yellow-400",
borderClass:
"border-exo-yellow/30 border-l-yellow-400",
cornerClass: "border-yellow-500/50",
glowClass: "shadow-[0_0_6px_rgba(250,204,21,0.4)]",
animate: true,
};
case "error":
return {
label: "ERROR",
dotClass: "bg-red-400",
borderClass: "border-red-500/30 border-l-red-400",
cornerClass: "border-red-500/50",
glowClass: "shadow-[0_0_6px_rgba(248,113,113,0.4)]",
animate: false,
};
}
});
function getNodeName(nodeId: string): string {
const topo = topologyData();
if (!topo?.nodes) return nodeId.slice(0, 8);
const node = topo.nodes[nodeId];
return node?.friendly_name || node?.system_info?.model_id || nodeId.slice(0, 8);
}
function formatModelId(modelId: string): string {
// Show just the model name part after the org prefix
const parts = modelId.split("/");
return parts.length > 1 ? parts[parts.length - 1] : modelId;
}
function handleDelete() {
if (
onDelete &&
confirm(
`Delete meta-instance for ${formatModelId(metaInstance.modelId)}?`,
)
) {
onDelete(metaInstance.metaInstanceId);
}
}
</script>
<div class="relative group">
<!-- Corner accents -->
<div
class="absolute -top-px -left-px w-2 h-2 border-l border-t {statusConfig.cornerClass}"
></div>
<div
class="absolute -top-px -right-px w-2 h-2 border-r border-t {statusConfig.cornerClass}"
></div>
<div
class="absolute -bottom-px -left-px w-2 h-2 border-l border-b {statusConfig.cornerClass}"
></div>
<div
class="absolute -bottom-px -right-px w-2 h-2 border-r border-b {statusConfig.cornerClass}"
></div>
<div
class="bg-exo-dark-gray/60 border border-l-2 {statusConfig.borderClass} p-3"
>
<!-- Header: Status + Delete -->
<div class="flex justify-between items-start mb-2 pl-2">
<div class="flex items-center gap-2">
<div
class="w-1.5 h-1.5 {statusConfig.dotClass} rounded-full {statusConfig.glowClass} {statusConfig.animate
? 'animate-pulse'
: ''}"
></div>
<span
class="text-xs font-mono tracking-[0.15em] uppercase {status === 'active'
? 'text-green-400'
: status === 'error'
? 'text-red-400'
: 'text-yellow-400'}"
>
{statusConfig.label}
</span>
</div>
<button
onclick={handleDelete}
class="text-xs px-2 py-1 font-mono tracking-wider uppercase border border-red-500/30 text-red-400 hover:bg-red-500/20 hover:text-red-400 hover:border-red-500/50 transition-all duration-200 cursor-pointer"
>
DELETE
</button>
</div>
<!-- Model Info -->
<div class="pl-2 space-y-1">
<div class="text-exo-yellow text-xs font-mono tracking-wide truncate">
{metaInstance.modelId}
</div>
<!-- Sharding + Runtime badges -->
<div class="flex items-center gap-2">
<span
class="inline-flex items-center px-1.5 py-0.5 text-[10px] font-mono tracking-wider uppercase border border-white/10 text-white/50"
>
{metaInstance.sharding}
</span>
<span
class="inline-flex items-center px-1.5 py-0.5 text-[10px] font-mono tracking-wider uppercase border border-white/10 text-white/50"
>
{metaInstance.instanceMeta}
</span>
{#if metaInstance.minNodes > 1}
<span
class="inline-flex items-center px-1.5 py-0.5 text-[10px] font-mono tracking-wider uppercase border border-white/10 text-white/50"
>
{metaInstance.minNodes}+ nodes
</span>
{/if}
</div>
<!-- Node Assignments (when active) -->
{#if backingNodeIds.length > 0}
<div class="flex items-center gap-1.5 mt-1">
<svg
class="w-3 h-3 text-green-400/70 flex-shrink-0"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
>
<path
d="M22 12h-4l-3 9L9 3l-3 9H2"
stroke-linecap="round"
stroke-linejoin="round"
/>
</svg>
<span class="text-white/60 text-xs font-mono truncate">
{backingNodeIds.map((id) => getNodeName(id)).join(", ")}
</span>
</div>
{/if}
<!-- Pinned nodes constraint -->
{#if metaInstance.nodeIds && metaInstance.nodeIds.length > 0}
<div class="flex items-center gap-1.5">
<svg
class="w-3 h-3 text-white/40 flex-shrink-0"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
>
<rect x="3" y="11" width="18" height="11" rx="2" ry="2" />
<path d="M7 11V7a5 5 0 0 1 10 0v4" />
</svg>
<span class="text-white/40 text-[11px] font-mono">
Pinned: {metaInstance.nodeIds
.map((id) => getNodeName(id))
.join(", ")}
</span>
</div>
{/if}
<!-- Error details -->
{#if metaInstance.placementError}
<div
class="mt-1.5 p-2 bg-red-500/5 border border-red-500/15 rounded-sm"
>
<div class="text-red-400 text-[11px] font-mono leading-relaxed">
{metaInstance.placementError}
</div>
</div>
{/if}
<!-- Retry counter -->
{#if metaInstance.consecutiveFailures > 0}
<div class="flex items-center gap-1.5 mt-1">
<svg
class="w-3 h-3 text-yellow-500/60 flex-shrink-0"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
>
<polyline points="23 4 23 10 17 10" />
<path d="M20.49 15a9 9 0 1 1-2.12-9.36L23 10" />
</svg>
<span class="text-yellow-500/60 text-[11px] font-mono">
{metaInstance.consecutiveFailures} consecutive
failure{metaInstance.consecutiveFailures !== 1 ? "s" : ""}
</span>
</div>
{/if}
</div>
</div>
</div>
@@ -1,52 +0,0 @@
<script lang="ts">
import type { PrefillProgress } from "$lib/stores/app.svelte";
interface Props {
progress: PrefillProgress;
class?: string;
}
let { progress, class: className = "" }: Props = $props();
const percentage = $derived(
progress.total > 0
? Math.round((progress.processed / progress.total) * 100)
: 0,
);
function formatTokenCount(count: number | undefined): string {
if (count == null) return "0";
if (count >= 1000) {
return `${(count / 1000).toFixed(1)}k`;
}
return count.toString();
}
</script>
<div class="prefill-progress {className}">
<div
class="flex items-center justify-between text-xs text-exo-light-gray mb-1"
>
<span>Processing prompt</span>
<span class="font-mono">
{formatTokenCount(progress.processed)} / {formatTokenCount(
progress.total,
)} tokens
</span>
</div>
<div class="h-1.5 bg-exo-black/60 rounded-full overflow-hidden">
<div
class="h-full bg-exo-yellow rounded-full transition-all duration-150 ease-out"
style="width: {percentage}%"
></div>
</div>
<div class="text-right text-xs text-exo-light-gray/70 mt-0.5 font-mono">
{percentage}%
</div>
</div>
<style>
.prefill-progress {
width: 100%;
}
</style>
-1
View File
@@ -11,5 +11,4 @@ export { default as FamilySidebar } from "./FamilySidebar.svelte";
export { default as HuggingFaceResultItem } from "./HuggingFaceResultItem.svelte";
export { default as ModelFilterPopover } from "./ModelFilterPopover.svelte";
export { default as ModelPickerGroup } from "./ModelPickerGroup.svelte";
export { default as MetaInstanceCard } from "./MetaInstanceCard.svelte";
export { default as ModelPickerModal } from "./ModelPickerModal.svelte";
+32 -252
View File
@@ -72,23 +72,8 @@ export interface Instance {
runnerToShard?: Record<string, unknown>;
nodeToRunner?: Record<string, string>;
};
metaInstanceId?: string | null;
}
export interface MetaInstance {
metaInstanceId: string;
modelId: string;
sharding: "Pipeline" | "Tensor";
instanceMeta: "MlxRing" | "MlxJaccl";
minNodes: number;
nodeIds: string[] | null;
placementError: string | null;
consecutiveFailures: number;
lastFailureError: string | null;
}
export type MetaInstanceStatus = "active" | "provisioning" | "error";
// Granular node state types from the new state structure
interface RawNodeIdentity {
modelId?: string;
@@ -238,7 +223,6 @@ interface RawStateResponse {
MlxJacclInstance?: Instance;
}
>;
metaInstances?: Record<string, MetaInstance>;
runners?: Record<string, unknown>;
downloads?: Record<string, unknown[]>;
// New granular node state fields
@@ -289,11 +273,6 @@ export interface TokenData {
topLogprobs: TopLogprob[];
}
export interface PrefillProgress {
processed: number;
total: number;
}
export interface Message {
id: string;
role: "user" | "assistant" | "system";
@@ -327,14 +306,13 @@ const IMAGE_PARAMS_STORAGE_KEY = "exo-image-generation-params";
export interface ImageGenerationParams {
// Basic params
size:
| "auto"
| "512x512"
| "768x768"
| "1024x1024"
| "1024x768"
| "768x1024"
| "1024x1536"
| "1536x1024";
| "1024x1365"
| "1365x1024";
quality: "low" | "medium" | "high";
outputFormat: "png" | "jpeg";
numImages: number;
@@ -358,7 +336,7 @@ export interface EditingImage {
}
const DEFAULT_IMAGE_PARAMS: ImageGenerationParams = {
size: "auto",
size: "1024x1024",
quality: "medium",
outputFormat: "png",
numImages: 1,
@@ -541,15 +519,10 @@ class AppStore {
ttftMs = $state<number | null>(null); // Time to first token in ms
tps = $state<number | null>(null); // Tokens per second
totalTokens = $state<number>(0); // Total tokens in current response
prefillProgress = $state<PrefillProgress | null>(null);
// Abort controller for stopping generation
private currentAbortController: AbortController | null = null;
// Topology state
topologyData = $state<TopologyData | null>(null);
instances = $state<Record<string, unknown>>({});
metaInstances = $state<Record<string, MetaInstance>>({});
runners = $state<Record<string, unknown>>({});
downloads = $state<Record<string, unknown[]>>({});
nodeDisk = $state<
@@ -1285,9 +1258,6 @@ class AppStore {
this.instances = data.instances;
this.refreshConversationModelFromInstances();
}
if (data.metaInstances) {
this.metaInstances = data.metaInstances;
}
if (data.runners) {
this.runners = data.runners;
}
@@ -1313,79 +1283,6 @@ class AppStore {
}
}
async createMetaInstance(
modelId: string,
sharding: "Pipeline" | "Tensor" = "Pipeline",
instanceMeta: "MlxRing" | "MlxJaccl" = "MlxRing",
minNodes: number = 1,
nodeIds: string[] | null = null,
) {
try {
const response = await fetch("/meta_instance", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
model_id: modelId,
sharding,
instance_meta: instanceMeta,
min_nodes: minNodes,
node_ids: nodeIds,
}),
});
if (!response.ok) {
console.error("Failed to create meta-instance:", response.status);
}
await this.fetchState();
} catch (error) {
console.error("Error creating meta-instance:", error);
}
}
async deleteMetaInstance(metaInstanceId: string) {
try {
const response = await fetch(`/meta_instance/${metaInstanceId}`, {
method: "DELETE",
headers: { "Content-Type": "application/json" },
});
if (!response.ok) {
console.error("Failed to delete meta-instance:", response.status);
}
await this.fetchState();
} catch (error) {
console.error("Error deleting meta-instance:", error);
}
}
getMetaInstanceStatus(
metaInstance: MetaInstance,
): MetaInstanceStatus {
// Check if any running instance is bound to this meta-instance
for (const instanceWrapper of Object.values(this.instances)) {
if (!instanceWrapper || typeof instanceWrapper !== "object") continue;
const keys = Object.keys(instanceWrapper as Record<string, unknown>);
if (keys.length !== 1) continue;
const inner = (instanceWrapper as Record<string, unknown>)[keys[0]];
if (inner && typeof inner === "object" && (inner as Instance).metaInstanceId === metaInstance.metaInstanceId) {
return "active";
}
}
if (metaInstance.placementError) return "error";
return "provisioning";
}
getMetaInstanceBackingNodes(metaInstance: MetaInstance): string[] {
for (const instanceWrapper of Object.values(this.instances)) {
if (!instanceWrapper || typeof instanceWrapper !== "object") continue;
const keys = Object.keys(instanceWrapper as Record<string, unknown>);
if (keys.length !== 1) continue;
const inner = (instanceWrapper as Record<string, unknown>)[keys[0]] as Instance;
if (inner?.metaInstanceId === metaInstance.metaInstanceId && inner?.shardAssignments?.nodeToRunner) {
return Object.keys(inner.shardAssignments.nodeToRunner);
}
}
return [];
}
async fetchPlacementPreviews(modelId: string, showLoading = true) {
if (!modelId) return;
@@ -1745,12 +1642,11 @@ class AppStore {
if (!reader) throw new Error("No response body");
let fullContent = prefixText;
let streamedThinking = "";
const collectedTokens: TokenData[] = [...tokensToKeep];
interface ChatCompletionChunk {
choices?: Array<{
delta?: { content?: string; reasoning_content?: string };
delta?: { content?: string };
logprobs?: {
content?: Array<{
token: string;
@@ -1771,7 +1667,6 @@ class AppStore {
(parsed) => {
const choice = parsed.choices?.[0];
const delta = choice?.delta?.content;
const thinkingDelta = choice?.delta?.reasoning_content;
// Collect logprobs data
const logprobsContent = choice?.logprobs?.content;
@@ -1790,11 +1685,7 @@ class AppStore {
}
}
if (thinkingDelta) {
streamedThinking += thinkingDelta;
}
if (delta || thinkingDelta) {
if (delta) {
if (firstTokenTime === null) {
firstTokenTime = performance.now();
this.ttftMs = firstTokenTime - requestStartTime;
@@ -1808,14 +1699,9 @@ class AppStore {
this.tps = ((tokenCount - tokensToKeep.length) / elapsed) * 1000;
}
if (delta) {
fullContent += delta;
}
const { displayContent, thinkingContent: tagThinking } =
fullContent += delta;
const { displayContent, thinkingContent } =
this.stripThinkingTags(fullContent);
const combinedThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
if (this.activeConversationId === targetConversationId) {
this.currentResponse = displayContent;
@@ -1827,7 +1713,7 @@ class AppStore {
messageId,
(m) => {
m.content = displayContent;
m.thinking = combinedThinking || undefined;
m.thinking = thinkingContent || undefined;
m.tokens = [...collectedTokens];
},
);
@@ -1839,14 +1725,11 @@ class AppStore {
// Final update
if (this.conversationExists(targetConversationId)) {
const { displayContent, thinkingContent: tagThinking } =
const { displayContent, thinkingContent } =
this.stripThinkingTags(fullContent);
const finalThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
this.updateConversationMessage(targetConversationId, messageId, (m) => {
m.content = displayContent;
m.thinking = finalThinking || undefined;
m.thinking = thinkingContent || undefined;
m.tokens = [...collectedTokens];
if (this.ttftMs !== null) m.ttftMs = this.ttftMs;
if (this.tps !== null) m.tps = this.tps;
@@ -1954,12 +1837,11 @@ class AppStore {
}
let streamedContent = "";
let streamedThinking = "";
const collectedTokens: TokenData[] = [];
interface ChatCompletionChunk {
choices?: Array<{
delta?: { content?: string; reasoning_content?: string };
delta?: { content?: string };
logprobs?: {
content?: Array<{
token: string;
@@ -1980,7 +1862,6 @@ class AppStore {
(parsed) => {
const choice = parsed.choices?.[0];
const delta = choice?.delta?.content;
const thinkingDelta = choice?.delta?.reasoning_content;
// Collect logprobs data
const logprobsContent = choice?.logprobs?.content;
@@ -1999,19 +1880,10 @@ class AppStore {
}
}
if (thinkingDelta) {
streamedThinking += thinkingDelta;
}
if (delta || thinkingDelta) {
if (delta) {
streamedContent += delta;
}
const { displayContent, thinkingContent: tagThinking } =
if (delta) {
streamedContent += delta;
const { displayContent, thinkingContent } =
this.stripThinkingTags(streamedContent);
const combinedThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
// Only update currentResponse if target conversation is active
if (this.activeConversationId === targetConversationId) {
@@ -2024,7 +1896,7 @@ class AppStore {
assistantMessage.id,
(msg) => {
msg.content = displayContent;
msg.thinking = combinedThinking || undefined;
msg.thinking = thinkingContent || undefined;
msg.tokens = [...collectedTokens];
},
);
@@ -2036,17 +1908,14 @@ class AppStore {
// Final cleanup of the message (if conversation still exists)
if (this.conversationExists(targetConversationId)) {
const { displayContent, thinkingContent: tagThinking } =
const { displayContent, thinkingContent } =
this.stripThinkingTags(streamedContent);
const finalThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
this.updateConversationMessage(
targetConversationId,
assistantMessage.id,
(msg) => {
msg.content = displayContent;
msg.thinking = finalThinking || undefined;
msg.thinking = thinkingContent || undefined;
msg.tokens = [...collectedTokens];
},
);
@@ -2135,7 +2004,6 @@ class AppStore {
reader: ReadableStreamDefaultReader<Uint8Array>,
targetConversationId: string,
onChunk: (parsed: T) => void,
onEvent?: Record<string, (data: unknown) => void>,
): Promise<void> {
const decoder = new TextDecoder();
let buffer = "";
@@ -2156,24 +2024,6 @@ class AppStore {
const trimmed = line.trim();
if (!trimmed) continue;
// Handle SSE comments (": key json") for prefill progress etc.
if (trimmed.startsWith(": ") && onEvent) {
const comment = trimmed.slice(2);
const spaceIdx = comment.indexOf(" ");
if (spaceIdx > 0) {
const key = comment.slice(0, spaceIdx);
if (onEvent[key]) {
try {
const parsed = JSON.parse(comment.slice(spaceIdx + 1));
onEvent[key](parsed);
} catch {
// Skip malformed JSON in comment
}
}
}
continue;
}
if (trimmed.startsWith("data: ")) {
const data = trimmed.slice(6);
if (data === "[DONE]") continue;
@@ -2405,9 +2255,6 @@ class AppStore {
let firstTokenTime: number | null = null;
let tokenCount = 0;
const abortController = new AbortController();
this.currentAbortController = abortController;
const response = await fetch("/v1/chat/completions", {
method: "POST",
headers: {
@@ -2424,7 +2271,6 @@ class AppStore {
enable_thinking: enableThinking,
}),
}),
signal: abortController.signal,
});
if (!response.ok) {
@@ -2438,11 +2284,10 @@ class AppStore {
}
let streamedContent = "";
let streamedThinking = "";
interface ChatCompletionChunk {
choices?: Array<{
delta?: { content?: string; reasoning_content?: string };
delta?: { content?: string };
logprobs?: {
content?: Array<{
token: string;
@@ -2463,14 +2308,8 @@ class AppStore {
reader,
targetConversationId,
(parsed) => {
// Clear prefill progress when first token data arrives
if (this.prefillProgress) {
this.prefillProgress = null;
}
const choice = parsed.choices?.[0];
const tokenContent = choice?.delta?.content;
const thinkingContent = choice?.delta?.reasoning_content;
// Collect logprobs data
const logprobsContent = choice?.logprobs?.content;
@@ -2489,11 +2328,7 @@ class AppStore {
}
}
if (thinkingContent) {
streamedThinking += thinkingContent;
}
if (tokenContent || thinkingContent) {
if (tokenContent) {
// Track first token for TTFT
if (firstTokenTime === null) {
firstTokenTime = performance.now();
@@ -2510,16 +2345,11 @@ class AppStore {
this.tps = (tokenCount / elapsed) * 1000;
}
if (tokenContent) {
streamedContent += tokenContent;
}
streamedContent += tokenContent;
// Use stripThinkingTags as fallback for any <think> tags still in content
const { displayContent, thinkingContent: tagThinking } =
// Strip thinking tags for display and extract thinking content
const { displayContent, thinkingContent } =
this.stripThinkingTags(streamedContent);
const combinedThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
// Only update currentResponse if target conversation is active
if (this.activeConversationId === targetConversationId) {
@@ -2532,7 +2362,7 @@ class AppStore {
assistantMessage.id,
(msg) => {
msg.content = displayContent;
msg.thinking = combinedThinking || undefined;
msg.thinking = thinkingContent || undefined;
msg.tokens = [...collectedTokens];
},
);
@@ -2540,26 +2370,8 @@ class AppStore {
this.persistConversation(targetConversationId);
}
},
{
prefill_progress: (data) => {
// TaggedModel wraps as {"PrefillProgressChunk": {...}}
// model_dump_json() uses snake_case (by_alias defaults to False)
const raw = data as Record<string, unknown>;
const inner = (raw["PrefillProgressChunk"] ?? raw) as {
processed_tokens: number;
total_tokens: number;
};
this.prefillProgress = {
processed: inner.processed_tokens,
total: inner.total_tokens,
};
},
},
);
// Clear prefill progress after stream ends
this.prefillProgress = null;
// Calculate final TPS
if (firstTokenTime !== null && tokenCount > 1) {
const totalGenerationTime = performance.now() - firstTokenTime;
@@ -2568,17 +2380,14 @@ class AppStore {
// Final cleanup of the message (if conversation still exists)
if (this.conversationExists(targetConversationId)) {
const { displayContent, thinkingContent: tagThinking } =
const { displayContent, thinkingContent } =
this.stripThinkingTags(streamedContent);
const finalThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
this.updateConversationMessage(
targetConversationId,
assistantMessage.id,
(msg) => {
msg.content = displayContent;
msg.thinking = finalThinking || undefined;
msg.thinking = thinkingContent || undefined;
msg.tokens = [...collectedTokens];
// Store performance metrics on the message
if (this.ttftMs !== null) {
@@ -2593,31 +2402,20 @@ class AppStore {
this.persistConversation(targetConversationId);
}
} catch (error) {
if (error instanceof DOMException && error.name === "AbortError") {
// User stopped generation — not an error
} else {
console.error("Error sending message:", error);
this.handleStreamingError(
error,
targetConversationId,
assistantMessage.id,
"Failed to get response",
);
}
console.error("Error sending message:", error);
this.handleStreamingError(
error,
targetConversationId,
assistantMessage.id,
"Failed to get response",
);
} finally {
this.currentAbortController = null;
this.prefillProgress = null;
this.isLoading = false;
this.currentResponse = "";
this.saveConversationsToStorage();
}
}
stopGeneration(): void {
this.currentAbortController?.abort();
this.currentAbortController = null;
}
/**
* Generate an image using the image generation API
*/
@@ -3244,10 +3042,8 @@ export const isLoading = () => appStore.isLoading;
export const ttftMs = () => appStore.ttftMs;
export const tps = () => appStore.tps;
export const totalTokens = () => appStore.totalTokens;
export const prefillProgress = () => appStore.prefillProgress;
export const topologyData = () => appStore.topologyData;
export const instances = () => appStore.instances;
export const metaInstances = () => appStore.metaInstances;
export const runners = () => appStore.runners;
export const downloads = () => appStore.downloads;
export const nodeDisk = () => appStore.nodeDisk;
@@ -3263,7 +3059,6 @@ export const topologyOnlyMode = () => appStore.getTopologyOnlyMode();
export const chatSidebarVisible = () => appStore.getChatSidebarVisible();
// Actions
export const stopGeneration = () => appStore.stopGeneration();
export const startChat = () => appStore.startChat();
export const sendMessage = (
content: string,
@@ -3336,21 +3131,6 @@ export const setChatSidebarVisible = (visible: boolean) =>
appStore.setChatSidebarVisible(visible);
export const refreshState = () => appStore.fetchState();
// Meta-instance actions
export const createMetaInstance = (
modelId: string,
sharding?: "Pipeline" | "Tensor",
instanceMeta?: "MlxRing" | "MlxJaccl",
minNodes?: number,
nodeIds?: string[] | null,
) => appStore.createMetaInstance(modelId, sharding, instanceMeta, minNodes, nodeIds);
export const deleteMetaInstance = (metaInstanceId: string) =>
appStore.deleteMetaInstance(metaInstanceId);
export const getMetaInstanceStatus = (metaInstance: MetaInstance) =>
appStore.getMetaInstanceStatus(metaInstance);
export const getMetaInstanceBackingNodes = (metaInstance: MetaInstance) =>
appStore.getMetaInstanceBackingNodes(metaInstance);
// Node identities (for OS version mismatch detection)
export const nodeIdentities = () => appStore.nodeIdentities;
+9 -406
View File
@@ -47,14 +47,10 @@
thunderboltBridgeCycles,
nodeThunderboltBridge,
nodeIdentities,
metaInstances,
deleteMetaInstance,
type DownloadProgress,
type PlacementPreview,
type MetaInstance,
} from "$lib/stores/app.svelte";
import HeaderNav from "$lib/components/HeaderNav.svelte";
import MetaInstanceCard from "$lib/components/MetaInstanceCard.svelte";
import { fade, fly } from "svelte/transition";
import { cubicInOut } from "svelte/easing";
import { onMount } from "svelte";
@@ -71,8 +67,6 @@
const loadingPreviews = $derived(isLoadingPreviews());
const debugEnabled = $derived(debugMode());
const topologyOnlyEnabled = $derived(topologyOnlyMode());
const metaInstanceData = $derived(metaInstances());
const metaInstanceCount = $derived(Object.keys(metaInstanceData).length);
const sidebarVisible = $derived(chatSidebarVisible());
const tbBridgeCycles = $derived(thunderboltBridgeCycles());
const tbBridgeData = $derived(nodeThunderboltBridge());
@@ -120,74 +114,6 @@
});
let tb5InfoDismissed = $state(false);
// Detect Mac Studio nodes using RDMA on en2 (the port next to ethernet — RDMA doesn't work there)
const macStudioEn2RdmaWarning = $derived.by(() => {
const edges = data?.edges;
const ids = tbIdentifiers;
const rdmaCtl = rdmaCtlData;
if (!edges || !ids || !rdmaCtl) return null;
const affectedConnections: Array<{
nodeId: string;
nodeName: string;
peerNodeId: string;
peerNodeName: string;
rdmaIface: string;
}> = [];
const isMacStudio = (node: (typeof data.nodes)[string] | undefined) =>
node?.system_info?.model_id === "Mac Studio";
for (const edge of edges) {
if (!edge.sourceRdmaIface && !edge.sinkRdmaIface) continue;
const sourceNode = data?.nodes?.[edge.source];
if (
isMacStudio(sourceNode) &&
edge.sourceRdmaIface === "rdma_en2" &&
rdmaCtl[edge.source]?.enabled
) {
affectedConnections.push({
nodeId: edge.source,
nodeName:
sourceNode?.friendly_name || edge.source.slice(0, 8) + "...",
peerNodeId: edge.target,
peerNodeName:
data?.nodes?.[edge.target]?.friendly_name ||
edge.target.slice(0, 8) + "...",
rdmaIface: "en2",
});
}
const sinkNode = data?.nodes?.[edge.target];
if (
isMacStudio(sinkNode) &&
edge.sinkRdmaIface === "rdma_en2" &&
rdmaCtl[edge.target]?.enabled
) {
affectedConnections.push({
nodeId: edge.target,
nodeName: sinkNode?.friendly_name || edge.target.slice(0, 8) + "...",
peerNodeId: edge.source,
peerNodeName:
sourceNode?.friendly_name || edge.source.slice(0, 8) + "...",
rdmaIface: "en2",
});
}
}
// Deduplicate by nodeId
const seen = new Set<string>();
const unique = affectedConnections.filter((c) => {
if (seen.has(c.nodeId)) return false;
seen.add(c.nodeId);
return true;
});
return unique.length > 0 ? unique : null;
});
let macStudioEn2Dismissed = $state(false);
// Helper to get friendly node name from node ID
function getNodeName(nodeId: string): string {
const node = data?.nodes?.[nodeId];
@@ -1006,6 +932,13 @@
};
}
// Debug: Log downloads data when it changes
$effect(() => {
if (downloadsData && Object.keys(downloadsData).length > 0) {
console.log("[Download Debug] Current downloads:", downloadsData);
}
});
// Helper to get download status for an instance
function getInstanceDownloadStatus(
instanceId: string,
@@ -1832,7 +1765,7 @@
</script>
{#snippet clusterWarnings()}
{#if tbBridgeCycles.length > 0 || macosVersionMismatch || (tb5WithoutRdma && !tb5InfoDismissed) || (macStudioEn2RdmaWarning && !macStudioEn2Dismissed)}
{#if tbBridgeCycles.length > 0 || macosVersionMismatch || (tb5WithoutRdma && !tb5InfoDismissed)}
<div class="absolute top-4 left-4 flex flex-col gap-2 z-40">
{#if tbBridgeCycles.length > 0}
{@const cycle = tbBridgeCycles[0]}
@@ -1997,260 +1930,12 @@
</button>
</div>
{/if}
{#if macStudioEn2RdmaWarning && !macStudioEn2Dismissed}
<div class="group relative" role="alert">
<div
class="flex items-center gap-2 px-3 py-2 rounded border border-red-500/50 bg-red-500/10 backdrop-blur-sm cursor-help"
>
<svg
class="w-5 h-5 text-red-400 flex-shrink-0"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d={warningIconPath}
/>
</svg>
<span class="text-sm font-mono text-red-200">
RDMA INCOMPATIBLE PORT
</span>
<button
type="button"
onclick={() => (macStudioEn2Dismissed = true)}
class="ml-1 text-red-300/60 hover:text-red-200 transition-colors cursor-pointer"
title="Dismiss"
>
<svg
class="w-4 h-4"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M6 18L18 6M6 6l12 12"
/>
</svg>
</button>
</div>
<!-- Expanded tooltip on hover -->
<div
class="absolute top-full left-0 mt-2 w-96 p-4 rounded border border-red-500/30 bg-[#1a1a1a]/95 backdrop-blur-sm opacity-0 invisible group-hover:opacity-100 group-hover:visible transition-all duration-200 z-50 shadow-lg"
>
<p class="text-xs text-white/80 mb-3">
The Thunderbolt 5 port next to the Ethernet port on Mac Studio
does
<span class="text-red-400 font-semibold">not support RDMA</span>.
Move the cable to one of the other three TB5 ports.
</p>
<div class="text-xs text-white/60 mb-3">
<span class="text-red-300">Affected:</span>
{#each macStudioEn2RdmaWarning as conn}
<div class="ml-2 mt-0.5">
<span class="text-white/80">{conn.nodeName}</span>
<span class="text-white/30">&rarr;</span>
<span class="text-white/60">{conn.peerNodeName}</span>
<span class="text-white/30 ml-1">(en2)</span>
</div>
{/each}
</div>
<!-- Mac Studio back panel illustration -->
<div class="bg-black/40 rounded p-3 mb-3">
<p
class="text-[10px] font-mono text-white/30 uppercase tracking-wider mb-2"
>
Mac Studio — Rear Panel
</p>
<svg
viewBox="0 0 320 72"
class="w-full"
xmlns="http://www.w3.org/2000/svg"
>
<rect
x="1"
y="1"
width="318"
height="70"
rx="6"
ry="6"
fill="none"
stroke="rgba(255,255,255,0.12)"
stroke-width="1"
/>
<!-- TB5 port 1 -->
<rect
x="24"
y="22"
width="28"
height="14"
rx="4"
fill="none"
stroke="rgba(255,255,255,0.3)"
stroke-width="1"
/>
<text
x="38"
y="52"
text-anchor="middle"
fill="rgba(255,255,255,0.25)"
style="font-size:7px;font-family:ui-monospace,monospace;"
>TB5</text
>
<!-- TB5 port 2 -->
<rect
x="62"
y="22"
width="28"
height="14"
rx="4"
fill="none"
stroke="rgba(255,255,255,0.3)"
stroke-width="1"
/>
<text
x="76"
y="52"
text-anchor="middle"
fill="rgba(255,255,255,0.25)"
style="font-size:7px;font-family:ui-monospace,monospace;"
>TB5</text
>
<!-- TB5 port 3 -->
<rect
x="100"
y="22"
width="28"
height="14"
rx="4"
fill="none"
stroke="rgba(255,255,255,0.3)"
stroke-width="1"
/>
<text
x="114"
y="52"
text-anchor="middle"
fill="rgba(255,255,255,0.25)"
style="font-size:7px;font-family:ui-monospace,monospace;"
>TB5</text
>
<!-- TB5 port 4: INCOMPATIBLE (en2) — equally spaced with ports 1-3 -->
<rect
x="138"
y="22"
width="28"
height="14"
rx="4"
fill="rgba(239,68,68,0.1)"
stroke="rgba(239,68,68,0.7)"
stroke-width="1.5"
/>
<line
x1="142"
y1="25"
x2="162"
y2="33"
stroke="rgba(239,68,68,0.8)"
stroke-width="1.5"
stroke-linecap="round"
/>
<line
x1="162"
y1="25"
x2="142"
y2="33"
stroke="rgba(239,68,68,0.8)"
stroke-width="1.5"
stroke-linecap="round"
/>
<text
x="152"
y="52"
text-anchor="middle"
fill="rgba(239,68,68,0.6)"
style="font-size:7px;font-family:ui-monospace,monospace;font-weight:600;"
>en2</text
>
<!-- Ethernet port -->
<rect
x="196"
y="19"
width="24"
height="20"
rx="2"
fill="none"
stroke="rgba(255,255,255,0.2)"
stroke-width="1"
/>
<rect
x="200"
y="23"
width="16"
height="12"
rx="1"
fill="none"
stroke="rgba(255,255,255,0.12)"
stroke-width="0.75"
/>
<text
x="208"
y="52"
text-anchor="middle"
fill="rgba(255,255,255,0.25)"
style="font-size:7px;font-family:ui-monospace,monospace;"
>ETH</text
>
<!-- Green checkmarks on working ports -->
<circle
cx="38"
cy="62"
r="3"
fill="none"
stroke="rgba(74,222,128,0.5)"
stroke-width="0.75"
/>
<circle
cx="76"
cy="62"
r="3"
fill="none"
stroke="rgba(74,222,128,0.5)"
stroke-width="0.75"
/>
<circle
cx="114"
cy="62"
r="3"
fill="none"
stroke="rgba(74,222,128,0.5)"
stroke-width="0.75"
/>
</svg>
</div>
<p class="text-xs text-white/50">
<span class="text-green-400">Fix:</span> Move the Thunderbolt cable
to any of the three leftmost ports (all support RDMA).
</p>
</div>
</div>
{/if}
</div>
{/if}
{/snippet}
{#snippet clusterWarningsCompact()}
{#if tbBridgeCycles.length > 0 || macosVersionMismatch || (tb5WithoutRdma && !tb5InfoDismissed) || (macStudioEn2RdmaWarning && !macStudioEn2Dismissed)}
{#if tbBridgeCycles.length > 0 || macosVersionMismatch || (tb5WithoutRdma && !tb5InfoDismissed)}
<div class="absolute top-2 left-2 flex flex-col gap-1">
{#if tbBridgeCycles.length > 0}
<div
@@ -2318,27 +2003,6 @@
>
</div>
{/if}
{#if macStudioEn2RdmaWarning && !macStudioEn2Dismissed}
<div
class="flex items-center gap-1.5 px-2 py-1 rounded border border-red-500/50 bg-red-500/10 backdrop-blur-sm"
title="Mac Studio RDMA incompatible port (en2) — move cable to another TB5 port"
>
<svg
class="w-3.5 h-3.5 text-red-400"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d={warningIconPath}
/>
</svg>
<span class="text-[10px] font-mono text-red-200">BAD RDMA PORT</span>
</div>
{/if}
</div>
{/if}
{/snippet}
@@ -3062,39 +2726,6 @@
</div>
{/if}
<!-- Meta-Instances Panel -->
{#if metaInstanceCount > 0}
<div class="p-4 flex-shrink-0 border-t border-exo-yellow/10">
<!-- Panel Header -->
<div class="flex items-center gap-2 mb-4">
<div
class="w-2 h-2 border border-purple-400/60 rotate-45"
></div>
<h3
class="text-xs text-purple-400 font-mono tracking-[0.2em] uppercase"
>
Meta-Instances
</h3>
<div
class="flex-1 h-px bg-gradient-to-r from-purple-400/30 to-transparent"
></div>
<span class="text-[10px] text-white/40 font-mono"
>{metaInstanceCount}</span
>
</div>
<div class="space-y-3">
{#each Object.entries(metaInstanceData) as [id, mi]}
<MetaInstanceCard
metaInstance={mi}
onDelete={(metaInstanceId) =>
deleteMetaInstance(metaInstanceId)}
/>
{/each}
</div>
</div>
{/if}
<!-- Models Panel - Scrollable -->
<div class="p-4 flex-1 overflow-y-auto">
<!-- Panel Header -->
@@ -3917,34 +3548,6 @@
</div>
</div>
{/if}
<!-- Meta-Instances Section (chat sidebar) -->
{#if metaInstanceCount > 0}
<div class="p-4 border-t border-exo-yellow/10">
<div class="flex items-center gap-2 mb-4">
<div
class="w-2 h-2 border border-purple-400/60 rotate-45"
></div>
<h3
class="text-xs text-purple-400 font-mono tracking-[0.2em] uppercase"
>
Meta-Instances
</h3>
<div
class="flex-1 h-px bg-gradient-to-r from-purple-400/30 to-transparent"
></div>
</div>
<div class="space-y-3">
{#each Object.entries(metaInstanceData) as [id, mi]}
<MetaInstanceCard
metaInstance={mi}
onDelete={(metaInstanceId) =>
deleteMetaInstance(metaInstanceId)}
/>
{/each}
</div>
</div>
{/if}
</aside>
{/if}
</div>
+2 -1
View File
@@ -74,6 +74,7 @@
perSystem =
{ config, self', inputs', pkgs, lib, system, ... }:
let
fenixToolchain = inputs'.fenix.packages.complete;
# Use pinned nixpkgs for swift-format (swift is broken on x86_64-linux in newer nixpkgs)
pkgsSwift = import inputs.nixpkgs-swift { inherit system; };
in
@@ -114,7 +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" && p.source ? git) uvLock.package);
mlxPackage = builtins.head (builtins.filter (p: p.name == "mlx") uvLock.package);
uvLockMlxVersion = mlxPackage.version;
in
{
+5 -5
View File
@@ -41,16 +41,16 @@ let
mlx = stdenv.mkDerivation rec {
pname = "mlx";
version = let v = "0.30.7.dev20260218+14841977"; in
version = let v = "0.30.6"; in
assert v == uvLockMlxVersion || throw "MLX version mismatch: nix/mlx.nix has ${v} but uv.lock has ${uvLockMlxVersion}. Update both the version and hash in nix/mlx.nix.";
v;
pyproject = true;
src = fetchFromGitHub {
owner = "rltakashige";
repo = "mlx-jaccl-fix-small-recv";
rev = "1484197707f35186ad3bd614357c7c47fdf86ebc";
hash = "sha256-FupCMoK/SF/ldfKuvMSAKECcOP8c+ANgkQlPZttDsLk=";
owner = "ml-explore";
repo = "mlx";
tag = "v${version}";
hash = "sha256-avD5EGhwgmPdXLAyQSqTO6AXk/W3ziH+f6AetjK3Sdo=";
};
patches = [
+2 -3
View File
@@ -17,9 +17,9 @@ dependencies = [
"loguru>=0.7.3",
"exo_pyo3_bindings", # rust bindings
"anyio==4.11.0",
"mlx; sys_platform == 'darwin'",
"mlx==0.30.6; sys_platform == 'darwin'",
"mlx[cpu]==0.30.6; sys_platform == 'linux'",
"mlx-lm==0.30.7",
"mlx-lm==0.30.6",
"tiktoken>=0.12.0", # required for kimi k2 tokenizer
"hypercorn>=0.18.0",
"openai-harmony>=0.0.8",
@@ -64,7 +64,6 @@ 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 }
+3 -30
View File
@@ -58,21 +58,6 @@
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;
}
@@ -89,25 +74,14 @@
linuxOverlay
]
);
# 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;
};
exoVenv = pythonSet.mkVirtualEnv "exo-env" workspace.deps.default;
# 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;
@@ -158,7 +132,6 @@
exo-test-env = testVenv;
} // {
exo-bench = mkBenchScript "exo-bench" (inputs.self + /bench/exo_bench.py);
exo-eval-tool-calls = mkBenchScript "exo-eval-tool-calls" (inputs.self + /bench/eval_tool_calls.py);
exo-get-all-models-on-cluster = mkSimplePythonScript "exo-get-all-models-on-cluster" (inputs.self + /tests/get_all_models_on_cluster.py);
};
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "deepseek"
quantization = "4bit"
base_model = "DeepSeek V3.1"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 405874409472
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "deepseek"
quantization = "8bit"
base_model = "DeepSeek V3.1"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 765577920512
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "8bit"
base_model = "GLM 4.5 Air"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 122406567936
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "bf16"
base_model = "GLM 4.5 Air"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 229780750336
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "4bit"
base_model = "GLM 4.7"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 198556925568
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "6bit"
base_model = "GLM 4.7"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 286737579648
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "8bit"
base_model = "GLM 4.7"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 396963397248
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "4bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 19327352832
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "5bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 22548578304
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "6bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 26843545600
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "8bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 34359738368
@@ -1,12 +0,0 @@
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
@@ -1,12 +0,0 @@
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
@@ -1,12 +0,0 @@
model_id = "mlx-community/GLM-5"
n_layers = 78
hidden_size = 6144
supports_tensor = true
tasks = ["TextGeneration"]
family = "glm"
quantization = "bf16"
base_model = "GLM-5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 1487822475264
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "kimi"
quantization = ""
base_model = "Kimi K2"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 706522120192
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "kimi"
quantization = ""
base_model = "Kimi K2.5"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 662498705408
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "minimax"
quantization = "3bit"
base_model = "MiniMax M2.1"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 100086644736
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "minimax"
quantization = "8bit"
base_model = "MiniMax M2.1"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 242986745856
@@ -1,12 +0,0 @@
model_id = "mlx-community/MiniMax-M2.5-4bit"
n_layers = 62
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "minimax"
quantization = "4bit"
base_model = "MiniMax M2.5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 128666664960
@@ -1,12 +0,0 @@
model_id = "mlx-community/MiniMax-M2.5-6bit"
n_layers = 62
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "minimax"
quantization = "6bit"
base_model = "MiniMax M2.5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 185826705408
@@ -1,12 +0,0 @@
model_id = "mlx-community/MiniMax-M2.5-8bit"
n_layers = 62
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "minimax"
quantization = "8bit"
base_model = "MiniMax M2.5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 242986745856
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 0.6B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 342884352
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 0.6B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 698351616
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 235B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 141733920768
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 235B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 268435456000
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 30B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 17612931072
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 30B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 33279705088
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 Next 80B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 47080074240
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 Next 80B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 88814387200
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "step"
quantization = "4bit"
base_model = "Step 3.5 Flash"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 114572190076
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "step"
quantization = "6bit"
base_model = "Step 3.5 Flash"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 159039627774
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "step"
quantization = "8bit"
base_model = "Step 3.5 Flash"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 209082699847
+2
View File
@@ -0,0 +1,2 @@
# we can manually exclude false-positive lint errors for dual packages (if in dependencies)
#allowed-duplicate-crates = ["hashbrown"]
+23 -8
View File
@@ -25,17 +25,17 @@ workspace = true
networking = { workspace = true }
# interop
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
pyo3 = { version = "0.27.1", features = [
# "abi3-py311", # tells pyo3 (and maturin) to build using the stable ABI with minimum Python version 3.11
"nightly", # enables better-supported GIL integration
"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" }
@@ -45,18 +45,33 @@ pyo3-log = "0.13.2"
# macro dependencies
extend = { workspace = true }
delegate = { workspace = true }
impl-trait-for-tuples = { workspace = true }
derive_more = { workspace = true }
pin-project = { workspace = true }
# async runtime
tokio = { workspace = true, features = ["full", "tracing"] }
futures-lite = { workspace = true }
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"] }
pin-project = "1.1.10"
+108 -7
View File
@@ -19,7 +19,7 @@ class ConnectionUpdate:
Whether this is a connection or disconnection event
"""
@property
def peer_id(self) -> builtins.str:
def peer_id(self) -> PeerId:
r"""
Identity of the peer that we have connected to or disconnected from.
"""
@@ -40,22 +40,92 @@ class Keypair:
Identity keypair of a node.
"""
@staticmethod
def generate() -> Keypair:
def generate_ed25519() -> Keypair:
r"""
Generate a new Ed25519 keypair.
"""
@staticmethod
def from_bytes(bytes: bytes) -> Keypair:
def generate_ecdsa() -> Keypair:
r"""
Construct an Ed25519 keypair from secret key bytes
Generate a new ECDSA keypair.
"""
@staticmethod
def generate_secp256k1() -> Keypair:
r"""
Generate a new Secp256k1 keypair.
"""
@staticmethod
def from_protobuf_encoding(bytes: bytes) -> Keypair:
r"""
Decode a private key from a protobuf structure and parse it as a `Keypair`.
"""
@staticmethod
def rsa_from_pkcs8(bytes: bytes) -> Keypair:
r"""
Decode an keypair from a DER-encoded secret key in PKCS#8 `PrivateKeyInfo`
format (i.e. unencrypted) as defined in [RFC5208].
[RFC5208]: https://tools.ietf.org/html/rfc5208#section-5
"""
@staticmethod
def secp256k1_from_der(bytes: bytes) -> Keypair:
r"""
Decode a keypair from a DER-encoded Secp256k1 secret key in an `ECPrivateKey`
structure as defined in [RFC5915].
[RFC5915]: https://tools.ietf.org/html/rfc5915
"""
@staticmethod
def ed25519_from_bytes(bytes: bytes) -> Keypair: ...
def to_protobuf_encoding(self) -> bytes:
r"""
Encode a private key as protobuf structure.
"""
def to_peer_id(self) -> PeerId:
r"""
Convert the `Keypair` into the corresponding `PeerId`.
"""
@typing.final
class Multiaddr:
r"""
Representation of a Multiaddr.
"""
@staticmethod
def empty() -> Multiaddr:
r"""
Create a new, empty multiaddress.
"""
@staticmethod
def with_capacity(n: builtins.int) -> Multiaddr:
r"""
Create a new, empty multiaddress with the given capacity.
"""
@staticmethod
def from_bytes(bytes: bytes) -> Multiaddr:
r"""
Parse a `Multiaddr` value from its byte slice representation.
"""
@staticmethod
def from_string(string: builtins.str) -> Multiaddr:
r"""
Parse a `Multiaddr` value from its string representation.
"""
def len(self) -> builtins.int:
r"""
Return the length in bytes of this multiaddress.
"""
def is_empty(self) -> builtins.bool:
r"""
Returns true if the length of this multiaddress is 0.
"""
def to_bytes(self) -> bytes:
r"""
Get the secret key bytes underlying the keypair
Return a copy of this [`Multiaddr`]'s byte representation.
"""
def to_node_id(self) -> builtins.str:
def to_string(self) -> builtins.str:
r"""
Convert the `Keypair` into the corresponding `PeerId` string, which we use as our `NodeId`.
Convert a Multiaddr to a string.
"""
@typing.final
@@ -110,6 +180,37 @@ class NoPeersSubscribedToTopicError(builtins.Exception):
def __repr__(self) -> builtins.str: ...
def __str__(self) -> builtins.str: ...
@typing.final
class PeerId:
r"""
Identifier of a peer of the network.
The data is a `CIDv0` compatible multihash of the protobuf encoded public key of the peer
as specified in [specs/peer-ids](https://github.com/libp2p/specs/blob/master/peer-ids/peer-ids.md).
"""
@staticmethod
def random() -> PeerId:
r"""
Generates a random peer ID from a cryptographically secure PRNG.
This is useful for randomly walking on a DHT, or for testing purposes.
"""
@staticmethod
def from_bytes(bytes: bytes) -> PeerId:
r"""
Parses a `PeerId` from bytes.
"""
def to_bytes(self) -> bytes:
r"""
Returns a raw bytes representation of this `PeerId`.
"""
def to_base58(self) -> builtins.str:
r"""
Returns a base-58 encoded string of this `PeerId`.
"""
def __repr__(self) -> builtins.str: ...
def __str__(self) -> builtins.str: ...
@typing.final
class ConnectionUpdateType(enum.Enum):
r"""
@@ -2,10 +2,11 @@
//!
use pin_project::pin_project;
use pyo3::marker::Ungil;
use pyo3::prelude::*;
use std::{
future::Future,
pin::Pin,
pin::{Pin, pin},
task::{Context, Poll},
};
@@ -25,13 +26,15 @@ where
impl<F> Future for AllowThreads<F>
where
F: Future + Send,
F::Output: Send,
F: Future + Ungil,
F::Output: Ungil,
{
type Output = F::Output;
fn poll(self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<Self::Output> {
let waker = cx.waker();
Python::attach(|py| py.detach(|| self.project().0.poll(&mut Context::from_waker(waker))))
Python::with_gil(|py| {
py.allow_threads(|| self.project().0.poll(&mut Context::from_waker(waker)))
})
}
}
+240
View File
@@ -0,0 +1,240 @@
//! 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(())
}
-47
View File
@@ -1,47 +0,0 @@
use crate::ext::ResultExt as _;
use libp2p::identity::Keypair;
use pyo3::types::{PyBytes, PyBytesMethods as _};
use pyo3::{Bound, PyResult, Python, pyclass, pymethods};
use pyo3_stub_gen::derive::{gen_stub_pyclass, gen_stub_pymethods};
/// Identity keypair of a node.
#[gen_stub_pyclass]
#[pyclass(name = "Keypair", frozen)]
#[repr(transparent)]
pub struct PyKeypair(pub Keypair);
#[gen_stub_pymethods]
#[pymethods]
#[allow(clippy::needless_pass_by_value)]
impl PyKeypair {
/// Generate a new Ed25519 keypair.
#[staticmethod]
fn generate() -> Self {
Self(Keypair::generate_ed25519())
}
/// Construct an Ed25519 keypair from secret key bytes
#[staticmethod]
fn from_bytes(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
let mut bytes = Vec::from(bytes.as_bytes());
Ok(Self(Keypair::ed25519_from_bytes(&mut bytes).pyerr()?))
}
/// Get the secret key bytes underlying the keypair
fn to_bytes<'py>(&self, py: Python<'py>) -> PyResult<Bound<'py, PyBytes>> {
let bytes = self
.0
.clone()
.try_into_ed25519()
.pyerr()?
.secret()
.as_ref()
.to_vec();
Ok(PyBytes::new(py, &bytes))
}
/// Convert the `Keypair` into the corresponding `PeerId` string, which we use as our `NodeId`.
fn to_node_id(&self) -> String {
self.0.public().to_peer_id().to_base58()
}
}
+54 -8
View File
@@ -4,14 +4,28 @@
//!
//!
mod allow_threading;
mod ident;
mod networking;
// enable Rust-unstable features for convenience
#![feature(trait_alias)]
#![feature(tuple_trait)]
#![feature(unboxed_closures)]
// #![feature(stmt_expr_attributes)]
// #![feature(assert_matches)]
// #![feature(async_fn_in_dyn_trait)]
// #![feature(async_for_loop)]
// #![feature(auto_traits)]
// #![feature(negative_impls)]
extern crate core;
mod allow_threading;
mod examples;
pub(crate) mod networking;
pub(crate) mod pylibp2p;
use crate::ident::PyKeypair;
use crate::networking::networking_submodule;
use crate::pylibp2p::ident::ident_submodule;
use crate::pylibp2p::multiaddr::multiaddr_submodule;
use pyo3::prelude::PyModule;
use pyo3::types::PyModuleMethods;
use pyo3::prelude::*;
use pyo3::{Bound, PyResult, pyclass, pymodule};
use pyo3_stub_gen::define_stub_info_gatherer;
@@ -20,11 +34,24 @@ pub(crate) mod r#const {
pub const MPSC_CHANNEL_SIZE: usize = 1024;
}
/// Namespace for all the type/trait aliases used by this crate.
pub(crate) mod alias {
use std::error::Error;
use std::marker::Tuple;
pub trait SendFn<Args: Tuple + Send + 'static, Output> =
Fn<Args, Output = Output> + Send + 'static;
pub type AnyError = Box<dyn Error + Send + Sync + 'static>;
pub type AnyResult<T> = Result<T, AnyError>;
}
/// Namespace for crate-wide extension traits/methods
pub(crate) mod ext {
use crate::allow_threading::AllowThreads;
use extend::ext;
use pyo3::exceptions::{PyConnectionError, PyRuntimeError};
use pyo3::marker::Ungil;
use pyo3::types::PyBytes;
use pyo3::{Py, PyErr, PyResult, Python};
use tokio::runtime::Runtime;
@@ -35,7 +62,7 @@ pub(crate) mod ext {
#[ext(pub, name = ByteArrayExt)]
impl [u8] {
fn pybytes(&self) -> Py<PyBytes> {
Python::attach(|py| PyBytes::new(py, self).unbind())
Python::with_gil(|py| PyBytes::new(py, self).unbind())
}
}
@@ -71,7 +98,7 @@ pub(crate) mod ext {
#[ext(pub, name = PyResultExt)]
impl<T> PyResult<T> {
fn write_unraisable(self) -> Option<T> {
Python::attach(|py| self.write_unraisable_with(py))
Python::with_gil(|py| self.write_unraisable_with(py))
}
fn write_unraisable_with(self, py: Python<'_>) -> Option<T> {
@@ -148,6 +175,24 @@ 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.
@@ -159,7 +204,8 @@ fn main_module(m: &Bound<'_, PyModule>) -> PyResult<()> {
// TODO: for now this is all NOT a submodule, but figure out how to make the submodule system
// work with maturin, where the types generate correctly, in the right folder, without
// too many importing issues...
m.add_class::<PyKeypair>()?;
ident_submodule(m)?;
multiaddr_submodule(m)?;
networking_submodule(m)?;
// top-level constructs
+8 -7
View File
@@ -8,12 +8,12 @@
use crate::r#const::MPSC_CHANNEL_SIZE;
use crate::ext::{ByteArrayExt as _, FutureExt, PyErrExt as _};
use crate::ext::{ResultExt as _, TokioMpscReceiverExt as _, TokioMpscSenderExt as _};
use crate::ident::PyKeypair;
use crate::pyclass;
use crate::pylibp2p::ident::{PyKeypair, PyPeerId};
use libp2p::futures::StreamExt as _;
use libp2p::gossipsub;
use libp2p::gossipsub::{IdentTopic, Message, MessageId, PublishError};
use libp2p::swarm::SwarmEvent;
use libp2p::{gossipsub, mdns};
use networking::discovery;
use networking::swarm::create_swarm;
use pyo3::prelude::{PyModule, PyModuleMethods as _};
@@ -25,7 +25,7 @@ use tokio::sync::{Mutex, mpsc, oneshot};
mod exception {
use pyo3::types::PyTuple;
use pyo3::{exceptions::PyException, prelude::*};
use pyo3::{PyErrArguments, exceptions::PyException, prelude::*};
use pyo3_stub_gen::derive::*;
#[gen_stub_pyclass]
@@ -119,7 +119,7 @@ struct PyConnectionUpdate {
/// Identity of the peer that we have connected to or disconnected from.
#[pyo3(get)]
peer_id: String,
peer_id: PyPeerId,
/// Remote connection's IPv4 address.
#[pyo3(get)]
@@ -155,6 +155,7 @@ async fn networking_task(
) {
use SwarmEvent::*;
use ToTask::*;
use mdns::Event::*;
use networking::swarm::BehaviourEvent::*;
log::info!("RUST: networking task started");
@@ -251,7 +252,7 @@ async fn networking_task(
// send connection event to channel (or exit if connection closed)
if let Err(e) = connection_update_tx.send(PyConnectionUpdate {
update_type: PyConnectionUpdateType::Connected,
peer_id: peer_id.to_base58(),
peer_id: PyPeerId(peer_id),
remote_ipv4,
remote_tcp_port,
}).await {
@@ -272,7 +273,7 @@ async fn networking_task(
// send disconnection event to channel (or exit if connection closed)
if let Err(e) = connection_update_tx.send(PyConnectionUpdate {
update_type: PyConnectionUpdateType::Disconnected,
peer_id: peer_id.to_base58(),
peer_id: PyPeerId(peer_id),
remote_ipv4,
remote_tcp_port,
}).await {
@@ -484,7 +485,7 @@ impl PyNetworkingHandle {
let (tx, rx) = oneshot::channel();
// send off request to subscribe
let data = Python::attach(|py| Vec::from(data.as_bytes(py)));
let data = Python::with_gil(|py| Vec::from(data.as_bytes(py)));
self.to_task_tx()
.send_py(ToTask::GossipsubPublish {
topic,
@@ -0,0 +1,159 @@
use crate::ext::ResultExt as _;
use libp2p::PeerId;
use libp2p::identity::Keypair;
use pyo3::prelude::{PyBytesMethods as _, PyModule, PyModuleMethods as _};
use pyo3::types::PyBytes;
use pyo3::{Bound, PyResult, Python, pyclass, pymethods};
use pyo3_stub_gen::derive::{gen_stub_pyclass, gen_stub_pymethods};
/// Identity keypair of a node.
#[gen_stub_pyclass]
#[pyclass(name = "Keypair", frozen)]
#[repr(transparent)]
pub struct PyKeypair(pub Keypair);
#[gen_stub_pymethods]
#[pymethods]
#[allow(clippy::needless_pass_by_value)]
impl PyKeypair {
/// Generate a new Ed25519 keypair.
#[staticmethod]
fn generate_ed25519() -> Self {
Self(Keypair::generate_ed25519())
}
/// Generate a new ECDSA keypair.
#[staticmethod]
fn generate_ecdsa() -> Self {
Self(Keypair::generate_ecdsa())
}
/// Generate a new Secp256k1 keypair.
#[staticmethod]
fn generate_secp256k1() -> Self {
Self(Keypair::generate_secp256k1())
}
/// Decode a private key from a protobuf structure and parse it as a `Keypair`.
#[staticmethod]
fn from_protobuf_encoding(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
let bytes = Vec::from(bytes.as_bytes());
Ok(Self(Keypair::from_protobuf_encoding(&bytes).pyerr()?))
}
/// Decode an keypair from a DER-encoded secret key in PKCS#8 `PrivateKeyInfo`
/// format (i.e. unencrypted) as defined in [RFC5208].
///
/// [RFC5208]: https://tools.ietf.org/html/rfc5208#section-5
#[staticmethod]
fn rsa_from_pkcs8(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
let mut bytes = Vec::from(bytes.as_bytes());
Ok(Self(Keypair::rsa_from_pkcs8(&mut bytes).pyerr()?))
}
/// Decode a keypair from a DER-encoded Secp256k1 secret key in an `ECPrivateKey`
/// structure as defined in [RFC5915].
///
/// [RFC5915]: https://tools.ietf.org/html/rfc5915
#[staticmethod]
fn secp256k1_from_der(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
let mut bytes = Vec::from(bytes.as_bytes());
Ok(Self(Keypair::secp256k1_from_der(&mut bytes).pyerr()?))
}
#[staticmethod]
fn ed25519_from_bytes(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
let mut bytes = Vec::from(bytes.as_bytes());
Ok(Self(Keypair::ed25519_from_bytes(&mut bytes).pyerr()?))
}
/// Encode a private key as protobuf structure.
fn to_protobuf_encoding<'py>(&self, py: Python<'py>) -> PyResult<Bound<'py, PyBytes>> {
let bytes = self.0.to_protobuf_encoding().pyerr()?;
Ok(PyBytes::new(py, &bytes))
}
/// Convert the `Keypair` into the corresponding `PeerId`.
fn to_peer_id(&self) -> PyPeerId {
PyPeerId(self.0.public().to_peer_id())
}
// /// Hidden constructor for pickling support. TODO: figure out how to do pickling...
// #[gen_stub(skip)]
// #[new]
// fn py_new(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
// Self::from_protobuf_encoding(bytes)
// }
//
// #[gen_stub(skip)]
// fn __setstate__(&mut self, state: Bound<'_, PyBytes>) -> PyResult<()> {
// *self = Self::from_protobuf_encoding(state)?;
// Ok(())
// }
//
// #[gen_stub(skip)]
// fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult<Bound<'py, PyBytes>> {
// self.to_protobuf_encoding(py)
// }
//
// #[gen_stub(skip)]
// pub fn __getnewargs__<'py>(&self, py: Python<'py>) -> PyResult<(Bound<'py, PyBytes>,)> {
// Ok((self.to_protobuf_encoding(py)?,))
// }
}
/// Identifier of a peer of the network.
///
/// The data is a `CIDv0` compatible multihash of the protobuf encoded public key of the peer
/// as specified in [specs/peer-ids](https://github.com/libp2p/specs/blob/master/peer-ids/peer-ids.md).
#[gen_stub_pyclass]
#[pyclass(name = "PeerId", frozen)]
#[derive(Debug, Clone)]
#[repr(transparent)]
pub struct PyPeerId(pub PeerId);
#[gen_stub_pymethods]
#[pymethods]
#[allow(clippy::needless_pass_by_value)]
impl PyPeerId {
/// Generates a random peer ID from a cryptographically secure PRNG.
///
/// This is useful for randomly walking on a DHT, or for testing purposes.
#[staticmethod]
fn random() -> Self {
Self(PeerId::random())
}
/// Parses a `PeerId` from bytes.
#[staticmethod]
fn from_bytes(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
let bytes = Vec::from(bytes.as_bytes());
Ok(Self(PeerId::from_bytes(&bytes).pyerr()?))
}
/// Returns a raw bytes representation of this `PeerId`.
fn to_bytes<'py>(&self, py: Python<'py>) -> Bound<'py, PyBytes> {
let bytes = self.0.to_bytes();
PyBytes::new(py, &bytes)
}
/// Returns a base-58 encoded string of this `PeerId`.
fn to_base58(&self) -> String {
self.0.to_base58()
}
fn __repr__(&self) -> String {
format!("PeerId({})", self.to_base58())
}
fn __str__(&self) -> String {
self.to_base58()
}
}
pub fn ident_submodule(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<PyKeypair>()?;
m.add_class::<PyPeerId>()?;
Ok(())
}
@@ -0,0 +1,8 @@
//! A module for exposing Rust's libp2p datatypes over Pyo3
//!
//! TODO: right now we are coupled to libp2p's identity, but eventually we want to create our own
//! independent identity type of some kind or another. This may require handshaking.
//!
pub mod ident;
pub mod multiaddr;
@@ -0,0 +1,81 @@
use crate::ext::ResultExt as _;
use libp2p::Multiaddr;
use pyo3::prelude::{PyBytesMethods as _, PyModule, PyModuleMethods as _};
use pyo3::types::PyBytes;
use pyo3::{Bound, PyResult, Python, pyclass, pymethods};
use pyo3_stub_gen::derive::{gen_stub_pyclass, gen_stub_pymethods};
use std::str::FromStr as _;
/// Representation of a Multiaddr.
#[gen_stub_pyclass]
#[pyclass(name = "Multiaddr", frozen)]
#[derive(Debug, Clone)]
#[repr(transparent)]
pub struct PyMultiaddr(pub Multiaddr);
#[gen_stub_pymethods]
#[pymethods]
#[allow(clippy::needless_pass_by_value)]
impl PyMultiaddr {
/// Create a new, empty multiaddress.
#[staticmethod]
fn empty() -> Self {
Self(Multiaddr::empty())
}
/// Create a new, empty multiaddress with the given capacity.
#[staticmethod]
fn with_capacity(n: usize) -> Self {
Self(Multiaddr::with_capacity(n))
}
/// Parse a `Multiaddr` value from its byte slice representation.
#[staticmethod]
fn from_bytes(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
let bytes = Vec::from(bytes.as_bytes());
Ok(Self(Multiaddr::try_from(bytes).pyerr()?))
}
/// Parse a `Multiaddr` value from its string representation.
#[staticmethod]
fn from_string(string: String) -> PyResult<Self> {
Ok(Self(Multiaddr::from_str(&string).pyerr()?))
}
/// Return the length in bytes of this multiaddress.
fn len(&self) -> usize {
self.0.len()
}
/// Returns true if the length of this multiaddress is 0.
fn is_empty(&self) -> bool {
self.0.is_empty()
}
/// Return a copy of this [`Multiaddr`]'s byte representation.
fn to_bytes<'py>(&self, py: Python<'py>) -> Bound<'py, PyBytes> {
let bytes = self.0.to_vec();
PyBytes::new(py, &bytes)
}
/// Convert a Multiaddr to a string.
fn to_string(&self) -> String {
self.0.to_string()
}
#[gen_stub(skip)]
fn __repr__(&self) -> String {
format!("Multiaddr({})", self.0)
}
#[gen_stub(skip)]
fn __str__(&self) -> String {
self.to_string()
}
}
pub fn multiaddr_submodule(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<PyMultiaddr>()?;
Ok(())
}
+9 -2
View File
@@ -19,14 +19,21 @@ either = { workspace = true }
# macro dependencies
extend = { workspace = true }
delegate = { workspace = true }
impl-trait-for-tuples = { workspace = true }
derive_more = { workspace = true }
# async
tokio = { workspace = true, features = ["full"] }
futures-lite = { workspace = true }
futures = { workspace = true }
futures-timer = { workspace = true }
# utility dependencies
util = { workspace = true }
thiserror = { workspace = true }
#internment = { workspace = true }
#recursion = { workspace = true }
#generativity = { workspace = true }
#itertools = { workspace = true }
tracing-subscriber = { version = "0.3.19", features = ["default", "env-filter"] }
keccak-const = { workspace = true }
@@ -34,4 +41,4 @@ keccak-const = { workspace = true }
log = { workspace = true }
# networking
libp2p = { workspace = true, features = ["full"] }
libp2p = { workspace = true, features = ["full"] }
+6 -6
View File
@@ -1,4 +1,4 @@
use futures_lite::StreamExt;
use futures::stream::StreamExt as _;
use libp2p::{gossipsub, identity, swarm::SwarmEvent};
use networking::{discovery, swarm};
use tokio::{io, io::AsyncBufReadExt as _, select};
@@ -38,19 +38,19 @@ async fn main() {
println!("Publish error: {e:?}");
}
}
event = swarm.next() => match event {
event = swarm.select_next_some() => match event {
// on gossipsub incoming
Some(SwarmEvent::Behaviour(swarm::BehaviourEvent::Gossipsub(gossipsub::Event::Message {
SwarmEvent::Behaviour(swarm::BehaviourEvent::Gossipsub(gossipsub::Event::Message {
propagation_source: peer_id,
message_id: id,
message,
}))) => println!(
})) => println!(
"\n\nGot message: '{}' with id: {id} from peer: {peer_id}\n\n",
String::from_utf8_lossy(&message.data),
),
// on discovery
Some(SwarmEvent::Behaviour(swarm::BehaviourEvent::Discovery(e)) )=> match e {
SwarmEvent::Behaviour(swarm::BehaviourEvent::Discovery(e)) => match e {
discovery::Event::ConnectionEstablished {
peer_id, connection_id, remote_ip, remote_tcp_port
} => {
@@ -64,7 +64,7 @@ async fn main() {
}
// ignore outgoing errors: those are normal
e@Some(SwarmEvent::OutgoingConnectionError { .. }) => { log::debug!("Outgoing connection error: {e:?}"); }
e@SwarmEvent::OutgoingConnectionError { .. } => { log::debug!("Outgoing connection error: {e:?}"); }
// otherwise log any other event
e => { log::info!("Other event {e:?}"); }
+127
View File
@@ -0,0 +1,127 @@
// Copyright 2018 Parity Technologies (UK) Ltd.
//
// Permission is hereby granted, free of charge, to any person obtaining a
// copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation
// the rights to use, copy, modify, merge, publish, distribute, sublicense,
// and/or sell copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
// DEALINGS IN THE SOFTWARE.
use futures::stream::StreamExt;
use libp2p::{
gossipsub, mdns, noise,
swarm::{NetworkBehaviour, SwarmEvent},
tcp, yamux,
};
use std::time::Duration;
use std::{error::Error, hash::Hash};
use tokio::{io, io::AsyncBufReadExt, select};
use tracing_subscriber::EnvFilter;
// We create a custom network behaviour that combines Gossipsub and Mdns.
#[derive(NetworkBehaviour)]
struct MyBehaviour {
gossipsub: gossipsub::Behaviour,
mdns: mdns::tokio::Behaviour,
}
#[tokio::main]
async fn main() -> Result<(), Box<dyn Error>> {
let _ = tracing_subscriber::fmt()
.with_env_filter(EnvFilter::from_default_env())
.try_init();
let mut swarm = libp2p::SwarmBuilder::with_new_identity()
.with_tokio()
.with_tcp(
tcp::Config::default(),
noise::Config::new,
yamux::Config::default,
)?
.with_behaviour(|key| {
// Set a custom gossipsub configuration
let gossipsub_config = gossipsub::ConfigBuilder::default()
.heartbeat_interval(Duration::from_secs(10))
.validation_mode(gossipsub::ValidationMode::Strict) // This sets the kind of message validation. The default is Strict (enforce message signing)
.build()
.map_err(io::Error::other)?; // Temporary hack because `build` does not return a proper `std::error::Error`.
// build a gossipsub network behaviour
let gossipsub = gossipsub::Behaviour::new(
gossipsub::MessageAuthenticity::Signed(key.clone()),
gossipsub_config,
)?;
let mdns =
mdns::tokio::Behaviour::new(mdns::Config::default(), key.public().to_peer_id())?;
Ok(MyBehaviour { gossipsub, mdns })
})?
.build();
println!("Running swarm with identity {}", swarm.local_peer_id());
// Create a Gossipsub topic
let topic = gossipsub::IdentTopic::new("test-net");
// subscribes to our topic
swarm.behaviour_mut().gossipsub.subscribe(&topic)?;
// Read full lines from stdin
let mut stdin = io::BufReader::new(io::stdin()).lines();
// Listen on all interfaces and whatever port the OS assigns
swarm.listen_on("/ip4/0.0.0.0/tcp/0".parse()?)?;
println!("Enter messages via STDIN and they will be sent to connected peers using Gossipsub");
// Kick it off
loop {
select! {
Ok(Some(line)) = stdin.next_line() => {
if let Err(e) = swarm
.behaviour_mut().gossipsub
.publish(topic.clone(), line.as_bytes()) {
println!("Publish error: {e:?}");
}
}
event = swarm.select_next_some() => match event {
SwarmEvent::Behaviour(MyBehaviourEvent::Mdns(mdns::Event::Discovered(list))) => {
for (peer_id, multiaddr) in list {
println!("mDNS discovered a new peer: {peer_id} on {multiaddr}");
swarm.behaviour_mut().gossipsub.add_explicit_peer(&peer_id);
}
},
SwarmEvent::Behaviour(MyBehaviourEvent::Mdns(mdns::Event::Expired(list))) => {
for (peer_id, multiaddr) in list {
println!("mDNS discover peer has expired: {peer_id} on {multiaddr}");
swarm.behaviour_mut().gossipsub.remove_explicit_peer(&peer_id);
}
},
SwarmEvent::Behaviour(MyBehaviourEvent::Gossipsub(gossipsub::Event::Message {
propagation_source: peer_id,
message_id: id,
message,
})) => println!(
"Got message: '{}' with id: {id} from peer: {peer_id}",
String::from_utf8_lossy(&message.data),
),
SwarmEvent::NewListenAddr { address, .. } => {
println!("Local node is listening on {address}");
}
e => {
println!("Other swarm event: {:?}", e);
}
}
}
}
}
+3 -2
View File
@@ -1,7 +1,8 @@
use crate::ext::MultiaddrExt;
use crate::keep_alive;
use delegate::delegate;
use either::Either;
use futures_lite::FutureExt;
use futures::FutureExt;
use futures_timer::Delay;
use libp2p::core::transport::PortUse;
use libp2p::core::{ConnectedPoint, Endpoint};
@@ -362,7 +363,7 @@ impl NetworkBehaviour for Behaviour {
}
// retry connecting to all mDNS peers periodically (fails safely if already connected)
if self.retry_delay.poll(cx).is_ready() {
if self.retry_delay.poll_unpin(cx).is_ready() {
for (p, mas) in self.mdns_discovered.clone() {
for ma in mas {
self.dial(p, ma)
+44
View File
@@ -0,0 +1,44 @@
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
}
}
+20
View File
@@ -3,7 +3,19 @@
//! 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.
@@ -42,3 +54,11 @@ pub(crate) mod ext {
}
}
}
pub(crate) mod private {
#![allow(dead_code)]
/// Sealed traits support
pub trait Sealed {}
impl<T: ?Sized> Sealed for T {}
}
+1 -1
View File
@@ -31,7 +31,7 @@ pub fn create_swarm(keypair: identity::Keypair) -> alias::AnyResult<Swarm> {
mod transport {
use crate::alias;
use crate::swarm::{NETWORK_VERSION, OVERRIDE_VERSION_ENV_VAR};
use futures_lite::{AsyncRead, AsyncWrite};
use futures::{AsyncRead, AsyncWrite};
use keccak_const::Sha3_256;
use libp2p::core::muxing;
use libp2p::core::transport::Boxed;
+3 -2
View File
@@ -1,10 +1,11 @@
{ inputs, ... }:
{
perSystem =
{ inputs', pkgs, lib, ... }:
{ config, self', inputs', pkgs, lib, ... }:
let
# Fenix nightly toolchain with all components
rustToolchain = inputs'.fenix.packages.stable.withComponents [
fenixPkgs = inputs'.fenix.packages;
rustToolchain = fenixPkgs.complete.withComponents [
"cargo"
"rustc"
"clippy"
+2
View File
@@ -0,0 +1,2 @@
[toolchain]
channel = "nightly"
+11 -35
View File
@@ -47,7 +47,6 @@ 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)
@@ -63,8 +62,6 @@ 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:
@@ -110,30 +107,23 @@ class DownloadCoordinator:
self._last_progress_time[model_id] = current_time()
async def run(self) -> None:
logger.info(
f"Starting DownloadCoordinator{' (offline mode)' if self.offline else ''}"
)
if not self.offline:
self._test_internet_connection()
logger.info("Starting DownloadCoordinator")
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)
if not self.offline:
tg.start_soon(self._check_internet_connection)
tg.start_soon(self._check_internet_connection)
def _test_internet_connection(self) -> None:
# Try multiple endpoints since some ISPs/networks block specific IPs
for host in ("1.1.1.1", "8.8.8.8", "1.0.0.1"):
try:
socket.create_connection((host, 443), timeout=3).close()
self.shard_downloader.set_internet_connection(True)
logger.debug(f"Internet connectivity: True (via {host})")
return
except OSError:
continue
self.shard_downloader.set_internet_connection(False)
logger.debug("Internet connectivity: False")
try:
socket.create_connection(("1.1.1.1", 443), timeout=3).close()
self.shard_downloader.set_internet_connection(True)
except OSError:
self.shard_downloader.set_internet_connection(False)
logger.debug(
f"Internet connectivity: {self.shard_downloader.internet_connection}"
)
async def _check_internet_connection(self) -> None:
first_connection = True
@@ -212,20 +202,6 @@ 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)
+1 -12
View File
@@ -448,13 +448,12 @@ 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, skip_internet
model_id, revision, path, target_dir, on_progress
)
except HuggingFaceAuthenticationError:
raise
@@ -488,14 +487,10 @@ 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
@@ -515,11 +510,6 @@ 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
@@ -824,7 +814,6 @@ 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:
-230
View File
@@ -1,230 +0,0 @@
"""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)
+1 -14
View File
@@ -39,13 +39,12 @@ class Node:
node_id: NodeId
event_index_counter: Iterator[int]
offline: bool
_tg: TaskGroup = field(init=False, default_factory=anyio.create_task_group)
@classmethod
async def create(cls, args: "Args") -> "Self":
keypair = get_node_id_keypair()
node_id = NodeId(keypair.to_node_id())
node_id = NodeId(keypair.to_peer_id().to_base58())
session_id = SessionId(master_node_id=node_id, election_clock=0)
router = Router.create(keypair)
await router.register_topic(topics.GLOBAL_EVENTS)
@@ -69,7 +68,6 @@ 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
@@ -134,7 +132,6 @@ class Node:
api,
node_id,
event_index_counter,
args.offline,
)
async def run(self):
@@ -225,7 +222,6 @@ 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:
@@ -264,9 +260,6 @@ 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"
@@ -289,7 +282,6 @@ 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
@@ -337,11 +329,6 @@ 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",
+77 -116
View File
@@ -19,12 +19,7 @@ from exo.shared.types.api import (
ToolCall,
Usage,
)
from exo.shared.types.chunks import (
ErrorChunk,
PrefillProgressChunk,
TokenChunk,
ToolCallChunk,
)
from exo.shared.types.chunks import ErrorChunk, TokenChunk, ToolCallChunk
from exo.shared.types.common import CommandId
from exo.shared.types.text_generation import InputMessage, TextGenerationTaskParams
@@ -59,11 +54,7 @@ def chat_request_to_text_generation(
chat_template_messages.append({"role": "system", "content": content})
else:
# Skip messages with no meaningful content
if (
msg.content is None
and msg.reasoning_content is None
and msg.tool_calls is None
):
if msg.content is None and msg.thinking is None and msg.tool_calls is None:
continue
if msg.role in ("user", "assistant", "developer"):
@@ -115,11 +106,6 @@ def chunk_to_response(
]
)
if chunk.is_thinking:
delta = ChatCompletionMessage(role="assistant", reasoning_content=chunk.text)
else:
delta = ChatCompletionMessage(role="assistant", content=chunk.text)
return ChatCompletionResponse(
id=command_id,
created=int(time.time()),
@@ -127,7 +113,7 @@ def chunk_to_response(
choices=[
StreamingChoiceResponse(
index=0,
delta=delta,
delta=ChatCompletionMessage(role="assistant", content=chunk.text),
logprobs=logprobs,
finish_reason=chunk.finish_reason,
)
@@ -137,87 +123,72 @@ def chunk_to_response(
async def generate_chat_stream(
command_id: CommandId,
chunk_stream: AsyncGenerator[
PrefillProgressChunk | ErrorChunk | ToolCallChunk | TokenChunk, None
],
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> AsyncGenerator[str, None]:
"""Generate Chat Completions API streaming events from chunks."""
last_usage: Usage | None = None
async for chunk in chunk_stream:
match chunk:
case PrefillProgressChunk():
# Use SSE comment so third-party clients ignore it
yield f": prefill_progress {chunk.model_dump_json()}\n\n"
case ErrorChunk():
error_response = ErrorResponse(
error=ErrorInfo(
message=chunk.error_message or "Internal server error",
type="InternalServerError",
code=500,
)
if isinstance(chunk, ErrorChunk):
error_response = ErrorResponse(
error=ErrorInfo(
message=chunk.error_message or "Internal server error",
type="InternalServerError",
code=500,
)
yield f"data: {error_response.model_dump_json()}\n\n"
yield "data: [DONE]\n\n"
return
)
yield f"data: {error_response.model_dump_json()}\n\n"
yield "data: [DONE]\n\n"
return
case ToolCallChunk():
last_usage = chunk.usage or last_usage
last_usage = chunk.usage or last_usage
tool_call_deltas = [
ToolCall(
id=tool.id,
index=i,
function=tool,
)
for i, tool in enumerate(chunk.tool_calls)
]
tool_response = ChatCompletionResponse(
id=command_id,
created=int(time.time()),
model=chunk.model,
choices=[
StreamingChoiceResponse(
index=0,
delta=ChatCompletionMessage(
role="assistant",
tool_calls=tool_call_deltas,
),
finish_reason="tool_calls",
)
],
usage=last_usage,
if isinstance(chunk, ToolCallChunk):
tool_call_deltas = [
ToolCall(
id=tool.id,
index=i,
function=tool,
)
yield f"data: {tool_response.model_dump_json()}\n\n"
yield "data: [DONE]\n\n"
return
case TokenChunk():
last_usage = chunk.usage or last_usage
chunk_response = chunk_to_response(chunk, command_id)
if chunk.finish_reason is not None:
chunk_response = chunk_response.model_copy(
update={"usage": last_usage}
for i, tool in enumerate(chunk.tool_calls)
]
tool_response = ChatCompletionResponse(
id=command_id,
created=int(time.time()),
model=chunk.model,
choices=[
StreamingChoiceResponse(
index=0,
delta=ChatCompletionMessage(
role="assistant",
tool_calls=tool_call_deltas,
),
finish_reason="tool_calls",
)
yield f"data: {chunk_response.model_dump_json()}\n\n"
],
usage=last_usage,
)
yield f"data: {tool_response.model_dump_json()}\n\n"
yield "data: [DONE]\n\n"
return
if chunk.finish_reason is not None:
yield "data: [DONE]\n\n"
chunk_response = chunk_to_response(chunk, command_id)
if chunk.finish_reason is not None:
chunk_response = chunk_response.model_copy(update={"usage": last_usage})
yield f"data: {chunk_response.model_dump_json()}\n\n"
if chunk.finish_reason is not None:
yield "data: [DONE]\n\n"
async def collect_chat_response(
command_id: CommandId,
chunk_stream: AsyncGenerator[
ErrorChunk | ToolCallChunk | TokenChunk | PrefillProgressChunk, None
],
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> AsyncGenerator[str]:
# This is an AsyncGenerator[str] rather than returning a ChatCompletionReponse because
# FastAPI handles the cancellation better but wouldn't auto-serialize for some reason
"""Collect all token chunks and return a single ChatCompletionResponse."""
text_parts: list[str] = []
thinking_parts: list[str] = []
tool_calls: list[ToolCall] = []
logprobs_content: list[LogprobsContentItem] = []
model: str | None = None
@@ -226,52 +197,43 @@ async def collect_chat_response(
last_usage: Usage | None = None
async for chunk in chunk_stream:
match chunk:
case PrefillProgressChunk():
continue
if isinstance(chunk, ErrorChunk):
error_message = chunk.error_message or "Internal server error"
break
case ErrorChunk():
error_message = chunk.error_message or "Internal server error"
break
if model is None:
model = chunk.model
case TokenChunk():
if model is None:
model = chunk.model
last_usage = chunk.usage or last_usage
if chunk.is_thinking:
thinking_parts.append(chunk.text)
else:
text_parts.append(chunk.text)
if chunk.logprob is not None:
logprobs_content.append(
LogprobsContentItem(
token=chunk.text,
logprob=chunk.logprob,
top_logprobs=chunk.top_logprobs or [],
)
last_usage = chunk.usage or last_usage
if isinstance(chunk, TokenChunk):
text_parts.append(chunk.text)
if chunk.logprob is not None:
logprobs_content.append(
LogprobsContentItem(
token=chunk.text,
logprob=chunk.logprob,
top_logprobs=chunk.top_logprobs or [],
)
if chunk.finish_reason is not None:
finish_reason = chunk.finish_reason
case ToolCallChunk():
if model is None:
model = chunk.model
last_usage = chunk.usage or last_usage
tool_calls.extend(
ToolCall(
id=tool.id,
index=i,
function=tool,
)
for i, tool in enumerate(chunk.tool_calls)
)
finish_reason = chunk.finish_reason
if isinstance(chunk, ToolCallChunk):
tool_calls.extend(
ToolCall(
id=tool.id,
index=i,
function=tool,
)
for i, tool in enumerate(chunk.tool_calls)
)
if chunk.finish_reason is not None:
finish_reason = chunk.finish_reason
if error_message is not None:
raise ValueError(error_message)
combined_text = "".join(text_parts)
combined_thinking = "".join(thinking_parts) if thinking_parts else None
assert model is not None
yield ChatCompletionResponse(
@@ -284,7 +246,6 @@ async def collect_chat_response(
message=ChatCompletionMessage(
role="assistant",
content=combined_text,
reasoning_content=combined_thinking,
tool_calls=tool_calls if tool_calls else None,
),
logprobs=Logprobs(content=logprobs_content)
+24 -130
View File
@@ -1,17 +1,11 @@
"""Claude Messages API adapter for converting requests/responses."""
import json
import re
from collections.abc import AsyncGenerator
from typing import Any
from exo.shared.types.api import FinishReason, Usage
from exo.shared.types.chunks import (
ErrorChunk,
PrefillProgressChunk,
TokenChunk,
ToolCallChunk,
)
from exo.shared.types.chunks import ErrorChunk, TokenChunk, ToolCallChunk
from exo.shared.types.claude_api import (
ClaudeContentBlock,
ClaudeContentBlockDeltaEvent,
@@ -29,8 +23,6 @@ from exo.shared.types.claude_api import (
ClaudeStopReason,
ClaudeTextBlock,
ClaudeTextDelta,
ClaudeThinkingBlock,
ClaudeThinkingDelta,
ClaudeToolResultBlock,
ClaudeToolUseBlock,
ClaudeUsage,
@@ -64,22 +56,6 @@ def _extract_tool_result_text(block: ClaudeToolResultBlock) -> str:
return "".join(sub_block.text for sub_block in block.content)
# Matches "x-anthropic-billing-header: ...;" (with optional trailing newline)
# or similar telemetry headers that change every request and break KV prefix caching.
_VOLATILE_HEADER_RE = re.compile(r"^x-anthropic-[^\n]*;\n?", re.MULTILINE)
def _strip_volatile_headers(text: str) -> str:
"""Remove Anthropic billing/telemetry headers from system prompt text.
Claude Code prepends headers like 'x-anthropic-billing-header: cc_version=...;
cc_entrypoint=...; cch=...;' that contain per-request content hashes. These
change every request and break KV prefix caching (the prefix diverges at ~20
tokens instead of matching thousands of conversation tokens).
"""
return _VOLATILE_HEADER_RE.sub("", text)
def claude_request_to_text_generation(
request: ClaudeMessagesRequest,
) -> TextGenerationTaskParams:
@@ -92,8 +68,6 @@ def claude_request_to_text_generation(
instructions = request.system
else:
instructions = "".join(block.text for block in request.system)
instructions = _strip_volatile_headers(instructions)
chat_template_messages.append({"role": "system", "content": instructions})
# Convert messages to input
@@ -106,15 +80,12 @@ def claude_request_to_text_generation(
# Process structured content blocks
text_parts: list[str] = []
thinking_parts: list[str] = []
tool_calls: list[dict[str, Any]] = []
tool_results: list[ClaudeToolResultBlock] = []
for block in msg.content:
if isinstance(block, ClaudeTextBlock):
text_parts.append(block.text)
elif isinstance(block, ClaudeThinkingBlock):
thinking_parts.append(block.thinking)
elif isinstance(block, ClaudeToolUseBlock):
tool_calls.append(
{
@@ -130,7 +101,6 @@ def claude_request_to_text_generation(
tool_results.append(block)
content = "".join(text_parts)
reasoning_content = "".join(thinking_parts) if thinking_parts else None
# Build InputMessage from text content
if msg.role in ("user", "assistant"):
@@ -138,14 +108,9 @@ def claude_request_to_text_generation(
# Build chat_template_messages preserving tool structure
if tool_calls:
chat_msg: dict[str, Any] = {
"role": "assistant",
"content": content,
"tool_calls": tool_calls,
}
if reasoning_content:
chat_msg["reasoning_content"] = reasoning_content
chat_template_messages.append(chat_msg)
chat_template_messages.append(
{"role": "assistant", "content": content, "tool_calls": tool_calls}
)
elif tool_results:
for tr in tool_results:
chat_template_messages.append(
@@ -156,10 +121,7 @@ def claude_request_to_text_generation(
}
)
else:
chat_msg = {"role": msg.role, "content": content}
if reasoning_content:
chat_msg["reasoning_content"] = reasoning_content
chat_template_messages.append(chat_msg)
chat_template_messages.append({"role": msg.role, "content": content})
# Convert Claude tool definitions to OpenAI-style function tools
tools: list[dict[str, Any]] | None = None
@@ -176,10 +138,6 @@ def claude_request_to_text_generation(
for tool in request.tools
]
enable_thinking: bool | None = None
if request.thinking is not None:
enable_thinking = request.thinking.type in ("enabled", "adaptive")
return TextGenerationTaskParams(
model=request.model,
input=input_messages
@@ -193,7 +151,6 @@ def claude_request_to_text_generation(
stop=request.stop_sequences,
stream=request.stream,
tools=tools,
enable_thinking=enable_thinking,
chat_template_messages=chat_template_messages
if chat_template_messages
else None,
@@ -203,24 +160,18 @@ def claude_request_to_text_generation(
async def collect_claude_response(
command_id: CommandId,
model: str,
chunk_stream: AsyncGenerator[
ErrorChunk | ToolCallChunk | TokenChunk | PrefillProgressChunk, None
],
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> AsyncGenerator[str]:
# This is an AsyncGenerator[str] rather than returning a ChatCompletionReponse because
# FastAPI handles the cancellation better but wouldn't auto-serialize for some reason
"""Collect all token chunks and return a single ClaudeMessagesResponse."""
text_parts: list[str] = []
thinking_parts: list[str] = []
tool_use_blocks: list[ClaudeToolUseBlock] = []
stop_reason: ClaudeStopReason | None = None
last_usage: Usage | None = None
error_message: str | None = None
async for chunk in chunk_stream:
if isinstance(chunk, PrefillProgressChunk):
continue
if isinstance(chunk, ErrorChunk):
error_message = chunk.error_message or "Internal server error"
break
@@ -239,10 +190,7 @@ async def collect_claude_response(
stop_reason = "tool_use"
continue
if chunk.is_thinking:
thinking_parts.append(chunk.text)
else:
text_parts.append(chunk.text)
text_parts.append(chunk.text)
if chunk.finish_reason is not None:
stop_reason = finish_reason_to_claude_stop_reason(chunk.finish_reason)
@@ -251,12 +199,9 @@ async def collect_claude_response(
raise ValueError(error_message)
combined_text = "".join(text_parts)
combined_thinking = "".join(thinking_parts)
# Build content blocks
content: list[ClaudeContentBlock] = []
if combined_thinking:
content.append(ClaudeThinkingBlock(thinking=combined_thinking))
if combined_text:
content.append(ClaudeTextBlock(text=combined_text))
content.extend(tool_use_blocks)
@@ -285,9 +230,7 @@ async def collect_claude_response(
async def generate_claude_stream(
command_id: CommandId,
model: str,
chunk_stream: AsyncGenerator[
ErrorChunk | ToolCallChunk | TokenChunk | PrefillProgressChunk, None
],
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> AsyncGenerator[str, None]:
"""Generate Claude Messages API streaming events from TokenChunks."""
# Initial message_start event
@@ -301,21 +244,18 @@ async def generate_claude_stream(
start_event = ClaudeMessageStartEvent(message=initial_message)
yield f"event: message_start\ndata: {start_event.model_dump_json()}\n\n"
# content_block_start for text block at index 0
block_start = ClaudeContentBlockStartEvent(
index=0, content_block=ClaudeTextBlock(text="")
)
yield f"event: content_block_start\ndata: {block_start.model_dump_json()}\n\n"
output_tokens = 0
stop_reason: ClaudeStopReason | None = None
last_usage: Usage | None = None
next_block_index = 0
# Track whether we've started thinking/text blocks
thinking_block_started = False
thinking_block_index = -1
text_block_started = False
text_block_index = -1
next_block_index = 1 # text block is 0, tool blocks start at 1
async for chunk in chunk_stream:
if isinstance(chunk, PrefillProgressChunk):
continue
if isinstance(chunk, ErrorChunk):
# Close text block and bail
break
@@ -355,45 +295,12 @@ async def generate_claude_stream(
output_tokens += 1 # Count each chunk as one token
if chunk.is_thinking:
# Start thinking block on first thinking token
if not thinking_block_started:
thinking_block_started = True
thinking_block_index = next_block_index
next_block_index += 1
block_start = ClaudeContentBlockStartEvent(
index=thinking_block_index,
content_block=ClaudeThinkingBlock(thinking=""),
)
yield f"event: content_block_start\ndata: {block_start.model_dump_json()}\n\n"
delta_event = ClaudeContentBlockDeltaEvent(
index=thinking_block_index,
delta=ClaudeThinkingDelta(thinking=chunk.text),
)
yield f"event: content_block_delta\ndata: {delta_event.model_dump_json()}\n\n"
else:
# Close thinking block when transitioning to text
if thinking_block_started and text_block_index == -1:
block_stop = ClaudeContentBlockStopEvent(index=thinking_block_index)
yield f"event: content_block_stop\ndata: {block_stop.model_dump_json()}\n\n"
# Start text block on first text token
if not text_block_started:
text_block_started = True
text_block_index = next_block_index
next_block_index += 1
block_start = ClaudeContentBlockStartEvent(
index=text_block_index,
content_block=ClaudeTextBlock(text=""),
)
yield f"event: content_block_start\ndata: {block_start.model_dump_json()}\n\n"
delta_event = ClaudeContentBlockDeltaEvent(
index=text_block_index,
delta=ClaudeTextDelta(text=chunk.text),
)
yield f"event: content_block_delta\ndata: {delta_event.model_dump_json()}\n\n"
# content_block_delta
delta_event = ClaudeContentBlockDeltaEvent(
index=0,
delta=ClaudeTextDelta(text=chunk.text),
)
yield f"event: content_block_delta\ndata: {delta_event.model_dump_json()}\n\n"
if chunk.finish_reason is not None:
stop_reason = finish_reason_to_claude_stop_reason(chunk.finish_reason)
@@ -402,22 +309,9 @@ async def generate_claude_stream(
if last_usage is not None:
output_tokens = last_usage.completion_tokens
# Close any open blocks
if thinking_block_started and text_block_index == -1:
block_stop = ClaudeContentBlockStopEvent(index=thinking_block_index)
yield f"event: content_block_stop\ndata: {block_stop.model_dump_json()}\n\n"
if text_block_started:
block_stop = ClaudeContentBlockStopEvent(index=text_block_index)
yield f"event: content_block_stop\ndata: {block_stop.model_dump_json()}\n\n"
if not thinking_block_started and not text_block_started:
empty_start = ClaudeContentBlockStartEvent(
index=0, content_block=ClaudeTextBlock(text="")
)
yield f"event: content_block_start\ndata: {empty_start.model_dump_json()}\n\n"
empty_stop = ClaudeContentBlockStopEvent(index=0)
yield f"event: content_block_stop\ndata: {empty_stop.model_dump_json()}\n\n"
# content_block_stop for text block
block_stop = ClaudeContentBlockStopEvent(index=0)
yield f"event: content_block_stop\ndata: {block_stop.model_dump_json()}\n\n"
# message_delta
message_delta = ClaudeMessageDeltaEvent(
+44 -242
View File
@@ -5,12 +5,7 @@ from itertools import count
from typing import Any
from exo.shared.types.api import Usage
from exo.shared.types.chunks import (
ErrorChunk,
PrefillProgressChunk,
TokenChunk,
ToolCallChunk,
)
from exo.shared.types.chunks import ErrorChunk, TokenChunk, ToolCallChunk
from exo.shared.types.common import CommandId
from exo.shared.types.openai_responses import (
FunctionCallInputItem,
@@ -29,15 +24,8 @@ from exo.shared.types.openai_responses import (
ResponseOutputItemAddedEvent,
ResponseOutputItemDoneEvent,
ResponseOutputText,
ResponseReasoningItem,
ResponseReasoningSummaryPartAddedEvent,
ResponseReasoningSummaryPartDoneEvent,
ResponseReasoningSummaryText,
ResponseReasoningSummaryTextDeltaEvent,
ResponseReasoningSummaryTextDoneEvent,
ResponsesRequest,
ResponsesResponse,
ResponsesStreamEvent,
ResponseTextDeltaEvent,
ResponseTextDoneEvent,
ResponseUsage,
@@ -45,11 +33,6 @@ from exo.shared.types.openai_responses import (
from exo.shared.types.text_generation import InputMessage, TextGenerationTaskParams
def _format_sse(event: ResponsesStreamEvent) -> str:
"""Format a streaming event as an SSE message."""
return f"event: {event.type}\ndata: {event.model_dump_json()}\n\n"
def _extract_content(content: str | list[ResponseContentPart]) -> str:
"""Extract plain text from a content field that may be a string or list of parts."""
if isinstance(content, str):
@@ -138,26 +121,19 @@ def responses_request_to_text_generation(
async def collect_responses_response(
command_id: CommandId,
model: str,
chunk_stream: AsyncGenerator[
ErrorChunk | ToolCallChunk | TokenChunk | PrefillProgressChunk, None
],
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> AsyncGenerator[str]:
# This is an AsyncGenerator[str] rather than returning a ChatCompletionReponse because
# FastAPI handles the cancellation better but wouldn't auto-serialize for some reason
"""Collect all token chunks and return a single ResponsesResponse."""
response_id = f"resp_{command_id}"
item_id = f"item_{command_id}"
reasoning_id = f"rs_{command_id}"
accumulated_text = ""
thinking_parts: list[str] = []
function_call_items: list[ResponseFunctionCallItem] = []
last_usage: Usage | None = None
error_message: str | None = None
async for chunk in chunk_stream:
if isinstance(chunk, PrefillProgressChunk):
continue
if isinstance(chunk, ErrorChunk):
error_message = chunk.error_message or "Internal server error"
break
@@ -176,10 +152,6 @@ async def collect_responses_response(
)
continue
if chunk.is_thinking:
thinking_parts.append(chunk.text)
continue
accumulated_text += chunk.text
if error_message is not None:
@@ -194,21 +166,13 @@ async def collect_responses_response(
total_tokens=last_usage.total_tokens,
)
output: list[ResponseItem] = []
if thinking_parts:
output.append(
ResponseReasoningItem(
id=reasoning_id,
summary=[ResponseReasoningSummaryText(text="".join(thinking_parts))],
)
)
output.append(
output: list[ResponseItem] = [
ResponseMessageItem(
id=item_id,
content=[ResponseOutputText(text=accumulated_text)],
status="completed",
)
)
]
output.extend(function_call_items)
yield ResponsesResponse(
@@ -225,14 +189,11 @@ async def collect_responses_response(
async def generate_responses_stream(
command_id: CommandId,
model: str,
chunk_stream: AsyncGenerator[
ErrorChunk | ToolCallChunk | TokenChunk | PrefillProgressChunk, None
],
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> AsyncGenerator[str, None]:
"""Generate OpenAI Responses API streaming events from TokenChunks."""
response_id = f"resp_{command_id}"
item_id = f"item_{command_id}"
reasoning_id = f"rs_{command_id}"
seq = count(1)
# response.created
@@ -246,30 +207,42 @@ async def generate_responses_stream(
created_event = ResponseCreatedEvent(
sequence_number=next(seq), response=initial_response
)
yield _format_sse(created_event)
yield f"event: response.created\ndata: {created_event.model_dump_json()}\n\n"
# response.in_progress
in_progress_event = ResponseInProgressEvent(
sequence_number=next(seq), response=initial_response
)
yield _format_sse(in_progress_event)
yield f"event: response.in_progress\ndata: {in_progress_event.model_dump_json()}\n\n"
# response.output_item.added
initial_item = ResponseMessageItem(
id=item_id,
content=[ResponseOutputText(text="")],
status="in_progress",
)
item_added = ResponseOutputItemAddedEvent(
sequence_number=next(seq), output_index=0, item=initial_item
)
yield f"event: response.output_item.added\ndata: {item_added.model_dump_json()}\n\n"
# response.content_part.added
initial_part = ResponseOutputText(text="")
part_added = ResponseContentPartAddedEvent(
sequence_number=next(seq),
item_id=item_id,
output_index=0,
content_index=0,
part=initial_part,
)
yield f"event: response.content_part.added\ndata: {part_added.model_dump_json()}\n\n"
accumulated_text = ""
accumulated_thinking = ""
function_call_items: list[ResponseFunctionCallItem] = []
last_usage: Usage | None = None
next_output_index = 0
# Track dynamic block creation
reasoning_started = False
reasoning_output_index = -1
message_started = False
message_output_index = -1
next_output_index = 1 # message item is at 0
async for chunk in chunk_stream:
if isinstance(chunk, PrefillProgressChunk):
continue
if isinstance(chunk, ErrorChunk):
break
@@ -293,7 +266,7 @@ async def generate_responses_stream(
output_index=next_output_index,
item=fc_item,
)
yield _format_sse(fc_added)
yield f"event: response.output_item.added\ndata: {fc_added.model_dump_json()}\n\n"
# response.function_call_arguments.delta
args_delta = ResponseFunctionCallArgumentsDeltaEvent(
@@ -302,7 +275,7 @@ async def generate_responses_stream(
output_index=next_output_index,
delta=tool.arguments,
)
yield _format_sse(args_delta)
yield f"event: response.function_call_arguments.delta\ndata: {args_delta.model_dump_json()}\n\n"
# response.function_call_arguments.done
args_done = ResponseFunctionCallArgumentsDoneEvent(
@@ -312,7 +285,7 @@ async def generate_responses_stream(
name=tool.name,
arguments=tool.arguments,
)
yield _format_sse(args_done)
yield f"event: response.function_call_arguments.done\ndata: {args_done.model_dump_json()}\n\n"
# response.output_item.done
fc_done_item = ResponseFunctionCallItem(
@@ -327,205 +300,44 @@ async def generate_responses_stream(
output_index=next_output_index,
item=fc_done_item,
)
yield _format_sse(fc_item_done)
yield f"event: response.output_item.done\ndata: {fc_item_done.model_dump_json()}\n\n"
function_call_items.append(fc_done_item)
next_output_index += 1
continue
if chunk.is_thinking:
# Start reasoning block on first thinking token
if not reasoning_started:
reasoning_started = True
reasoning_output_index = next_output_index
next_output_index += 1
# response.output_item.added for reasoning
reasoning_item = ResponseReasoningItem(
id=reasoning_id,
summary=[],
status="in_progress",
)
rs_added = ResponseOutputItemAddedEvent(
sequence_number=next(seq),
output_index=reasoning_output_index,
item=reasoning_item,
)
yield _format_sse(rs_added)
# response.reasoning_summary_part.added
part_added = ResponseReasoningSummaryPartAddedEvent(
sequence_number=next(seq),
item_id=reasoning_id,
output_index=reasoning_output_index,
summary_index=0,
part=ResponseReasoningSummaryText(text=""),
)
yield _format_sse(part_added)
accumulated_thinking += chunk.text
# response.reasoning_summary_text.delta
rs_delta = ResponseReasoningSummaryTextDeltaEvent(
sequence_number=next(seq),
item_id=reasoning_id,
output_index=reasoning_output_index,
summary_index=0,
delta=chunk.text,
)
yield _format_sse(rs_delta)
continue
# Close reasoning block when transitioning to text
if reasoning_started and not message_started:
# response.reasoning_summary_text.done
rs_text_done = ResponseReasoningSummaryTextDoneEvent(
sequence_number=next(seq),
item_id=reasoning_id,
output_index=reasoning_output_index,
summary_index=0,
text=accumulated_thinking,
)
yield _format_sse(rs_text_done)
# response.reasoning_summary_part.done
rs_part_done = ResponseReasoningSummaryPartDoneEvent(
sequence_number=next(seq),
item_id=reasoning_id,
output_index=reasoning_output_index,
summary_index=0,
part=ResponseReasoningSummaryText(text=accumulated_thinking),
)
yield _format_sse(rs_part_done)
# response.output_item.done for reasoning
rs_item_done = ResponseOutputItemDoneEvent(
sequence_number=next(seq),
output_index=reasoning_output_index,
item=ResponseReasoningItem(
id=reasoning_id,
summary=[ResponseReasoningSummaryText(text=accumulated_thinking)],
),
)
yield _format_sse(rs_item_done)
# Start message block on first text token
if not message_started:
message_started = True
message_output_index = next_output_index
next_output_index += 1
initial_item = ResponseMessageItem(
id=item_id,
content=[ResponseOutputText(text="")],
status="in_progress",
)
item_added = ResponseOutputItemAddedEvent(
sequence_number=next(seq),
output_index=message_output_index,
item=initial_item,
)
yield _format_sse(item_added)
initial_part = ResponseOutputText(text="")
part_added = ResponseContentPartAddedEvent(
sequence_number=next(seq),
item_id=item_id,
output_index=message_output_index,
content_index=0,
part=initial_part,
)
yield _format_sse(part_added)
accumulated_text += chunk.text
# response.output_text.delta
delta_event = ResponseTextDeltaEvent(
sequence_number=next(seq),
item_id=item_id,
output_index=message_output_index,
output_index=0,
content_index=0,
delta=chunk.text,
)
yield _format_sse(delta_event)
# Close reasoning block if it was never followed by text
if reasoning_started and not message_started:
rs_text_done = ResponseReasoningSummaryTextDoneEvent(
sequence_number=next(seq),
item_id=reasoning_id,
output_index=reasoning_output_index,
summary_index=0,
text=accumulated_thinking,
)
yield _format_sse(rs_text_done)
rs_part_done = ResponseReasoningSummaryPartDoneEvent(
sequence_number=next(seq),
item_id=reasoning_id,
output_index=reasoning_output_index,
summary_index=0,
part=ResponseReasoningSummaryText(text=accumulated_thinking),
)
yield _format_sse(rs_part_done)
rs_item_done = ResponseOutputItemDoneEvent(
sequence_number=next(seq),
output_index=reasoning_output_index,
item=ResponseReasoningItem(
id=reasoning_id,
summary=[ResponseReasoningSummaryText(text=accumulated_thinking)],
),
)
yield _format_sse(rs_item_done)
# If no message block was started, create one now (empty text)
if not message_started:
message_output_index = next_output_index
next_output_index += 1
initial_item = ResponseMessageItem(
id=item_id,
content=[ResponseOutputText(text="")],
status="in_progress",
)
item_added = ResponseOutputItemAddedEvent(
sequence_number=next(seq),
output_index=message_output_index,
item=initial_item,
)
yield _format_sse(item_added)
initial_part = ResponseOutputText(text="")
part_added_evt = ResponseContentPartAddedEvent(
sequence_number=next(seq),
item_id=item_id,
output_index=message_output_index,
content_index=0,
part=initial_part,
)
yield _format_sse(part_added_evt)
yield f"event: response.output_text.delta\ndata: {delta_event.model_dump_json()}\n\n"
# response.output_text.done
text_done = ResponseTextDoneEvent(
sequence_number=next(seq),
item_id=item_id,
output_index=message_output_index,
output_index=0,
content_index=0,
text=accumulated_text,
)
yield _format_sse(text_done)
yield f"event: response.output_text.done\ndata: {text_done.model_dump_json()}\n\n"
# response.content_part.done
final_part = ResponseOutputText(text=accumulated_text)
part_done = ResponseContentPartDoneEvent(
sequence_number=next(seq),
item_id=item_id,
output_index=message_output_index,
output_index=0,
content_index=0,
part=final_part,
)
yield _format_sse(part_done)
yield f"event: response.content_part.done\ndata: {part_done.model_dump_json()}\n\n"
# response.output_item.done
final_message_item = ResponseMessageItem(
@@ -534,11 +346,9 @@ async def generate_responses_stream(
status="completed",
)
item_done = ResponseOutputItemDoneEvent(
sequence_number=next(seq),
output_index=message_output_index,
item=final_message_item,
sequence_number=next(seq), output_index=0, item=final_message_item
)
yield _format_sse(item_done)
yield f"event: response.output_item.done\ndata: {item_done.model_dump_json()}\n\n"
# Create usage from usage data if available
usage = None
@@ -550,15 +360,7 @@ async def generate_responses_stream(
)
# response.completed
output: list[ResponseItem] = []
if reasoning_started:
output.append(
ResponseReasoningItem(
id=reasoning_id,
summary=[ResponseReasoningSummaryText(text=accumulated_thinking)],
)
)
output.append(final_message_item)
output: list[ResponseItem] = [final_message_item]
output.extend(function_call_items)
final_response = ResponsesResponse(
id=response_id,
@@ -571,4 +373,4 @@ async def generate_responses_stream(
completed_event = ResponseCompletedEvent(
sequence_number=next(seq), response=final_response
)
yield _format_sse(completed_event)
yield f"event: response.completed\ndata: {completed_event.model_dump_json()}\n\n"
+28 -44
View File
@@ -85,7 +85,6 @@ from exo.shared.types.api import (
ImageGenerationTaskParams,
ImageListItem,
ImageListResponse,
ImageSize,
ModelList,
ModelListModel,
PlaceInstanceParams,
@@ -101,13 +100,11 @@ from exo.shared.types.api import (
TraceRankStats,
TraceResponse,
TraceStatsResponse,
normalize_image_size,
)
from exo.shared.types.chunks import (
ErrorChunk,
ImageChunk,
InputImageChunk,
PrefillProgressChunk,
TokenChunk,
ToolCallChunk,
)
@@ -146,8 +143,12 @@ from exo.shared.types.openai_responses import (
ResponsesResponse,
)
from exo.shared.types.state import State
from exo.shared.types.worker.downloads import DownloadCompleted
from exo.shared.types.worker.instances import Instance, InstanceId, InstanceMeta
from exo.shared.types.worker.instances import (
Instance,
InstanceId,
InstanceMeta,
MlxDevice,
)
from exo.shared.types.worker.shards import Sharding
from exo.utils.banner import print_startup_banner
from exo.utils.channels import Receiver, Sender, channel
@@ -222,8 +223,7 @@ class API:
)
self._text_generation_queues: dict[
CommandId,
Sender[TokenChunk | ErrorChunk | ToolCallChunk | PrefillProgressChunk],
CommandId, Sender[TokenChunk | ErrorChunk | ToolCallChunk]
] = {}
self._image_generation_queues: dict[
CommandId, Sender[ImageChunk | ErrorChunk]
@@ -315,6 +315,7 @@ class API:
sharding=payload.sharding,
instance_meta=payload.instance_meta,
min_nodes=payload.min_nodes,
mlx_device=payload.mlx_device,
)
await self._send(command)
@@ -355,6 +356,7 @@ class API:
sharding: Sharding = Sharding.Pipeline,
instance_meta: InstanceMeta = InstanceMeta.MlxRing,
min_nodes: int = 1,
mlx_device: MlxDevice = MlxDevice.Auto,
) -> Instance:
model_card = await ModelCard.load(model_id)
@@ -365,6 +367,7 @@ class API:
sharding=sharding,
instance_meta=instance_meta,
min_nodes=min_nodes,
mlx_device=mlx_device,
),
node_memory=self.state.node_memory,
node_network=self.state.node_network,
@@ -529,23 +532,19 @@ class API:
async def _token_chunk_stream(
self, command_id: CommandId
) -> AsyncGenerator[
TokenChunk | ErrorChunk | ToolCallChunk | PrefillProgressChunk, None
]:
) -> AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None]:
"""Yield chunks for a given command until completion.
This is the internal low-level stream used by all API adapters.
"""
try:
self._text_generation_queues[command_id], recv = channel[
TokenChunk | ErrorChunk | ToolCallChunk | PrefillProgressChunk
ErrorChunk | ToolCallChunk | TokenChunk
]()
with recv as token_chunks:
async for chunk in token_chunks:
yield chunk
if isinstance(chunk, PrefillProgressChunk):
continue
if chunk.finish_reason is not None:
break
@@ -572,9 +571,6 @@ class API:
stats: GenerationStats | None = None
async for chunk in self._token_chunk_stream(command_id):
if isinstance(chunk, PrefillProgressChunk):
continue
if chunk.finish_reason == "error":
raise HTTPException(
status_code=500,
@@ -763,11 +759,9 @@ 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={
"model": await self._validate_image_model(ModelId(payload.model)),
"advanced_params": _ensure_seed(payload.advanced_params),
}
update={"advanced_params": _ensure_seed(payload.advanced_params)}
)
command = ImageGeneration(
@@ -1023,13 +1017,12 @@ 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={
"model": await self._validate_image_model(ModelId(payload.model)),
"stream": False,
"partial_images": 0,
"advanced_params": _ensure_seed(payload.advanced_params),
}
update={"advanced_params": _ensure_seed(payload.advanced_params)}
)
command = ImageGeneration(
@@ -1050,7 +1043,7 @@ class API:
prompt: str,
model: ModelId,
n: int,
size: ImageSize,
size: str,
response_format: Literal["url", "b64_json"],
input_fidelity: Literal["low", "high"],
stream: bool,
@@ -1120,7 +1113,7 @@ class API:
prompt: str = Form(...),
model: str = Form(...),
n: int = Form(1),
size: str | None = Form(None),
size: str = Form("1024x1024"),
response_format: Literal["url", "b64_json"] = Form("b64_json"),
input_fidelity: Literal["low", "high"] = Form("low"),
stream: str = Form("false"),
@@ -1146,7 +1139,7 @@ class API:
prompt=prompt,
model=ModelId(model),
n=n,
size=normalize_image_size(size),
size=size,
response_format=response_format,
input_fidelity=input_fidelity,
stream=stream_bool,
@@ -1182,7 +1175,7 @@ class API:
prompt: str = Form(...),
model: str = Form(...),
n: int = Form(1),
size: str | None = Form(None),
size: str = Form("1024x1024"),
response_format: Literal["url", "b64_json"] = Form("b64_json"),
input_fidelity: Literal["low", "high"] = Form("low"),
quality: Literal["high", "medium", "low"] = Form("medium"),
@@ -1202,7 +1195,7 @@ class API:
prompt=prompt,
model=ModelId(model),
n=n,
size=normalize_image_size(size),
size=size,
response_format=response_format,
input_fidelity=input_fidelity,
stream=False,
@@ -1302,18 +1295,8 @@ class API:
return total_available
async def get_models(self, status: str | None = Query(default=None)) -> ModelList:
"""Returns list of available models, optionally filtered by being downloaded."""
cards = await get_model_cards()
if status == "downloaded":
downloaded_model_ids: set[str] = set()
for node_downloads in self.state.downloads.values():
for dl in node_downloads:
if isinstance(dl, DownloadCompleted):
downloaded_model_ids.add(dl.shard_metadata.model_card.model_id)
cards = [c for c in cards if c.model_id in downloaded_model_ids]
async def get_models(self) -> ModelList:
"""Returns list of available models."""
return ModelList(
data=[
ModelListModel(
@@ -1331,7 +1314,7 @@ class API:
base_model=card.base_model,
capabilities=card.capabilities,
)
for card in cards
for card in await get_model_cards()
]
)
@@ -1454,6 +1437,7 @@ class API:
await queue.send(event.chunk)
except BrokenResourceError:
self._text_generation_queues.pop(event.command_id, None)
if isinstance(event, TracesMerged):
self._save_merged_trace(event)
+2
View File
@@ -159,6 +159,7 @@ def place_instance(
shard_assignments=shard_assignments,
jaccl_devices=mlx_jaccl_devices,
jaccl_coordinators=mlx_jaccl_coordinators,
mlx_device=command.mlx_device,
)
case InstanceMeta.MlxRing:
ephemeral_port = random_ephemeral_port()
@@ -173,6 +174,7 @@ def place_instance(
shard_assignments=shard_assignments,
hosts_by_node=hosts_by_node,
ephemeral_port=ephemeral_port,
mlx_device=command.mlx_device,
)
return target_instances
+5 -4
View File
@@ -261,7 +261,7 @@ class TestGenerateClaudeStreamToolUse:
parsed = _parse_sse_events(events)
# Two tool block starts (at indices 0 and 1 — no text block when only tools)
# Two tool block starts (at indices 1 and 2)
tool_starts = [
e
for e in parsed
@@ -270,11 +270,12 @@ class TestGenerateClaudeStreamToolUse:
== "tool_use"
]
assert len(tool_starts) == 2
assert tool_starts[0]["index"] == 0
assert tool_starts[1]["index"] == 1
assert tool_starts[0]["index"] == 1
assert tool_starts[1]["index"] == 2
# Two tool block stops (at indices 0 and 1)
# Two tool block stops (at indices 1 and 2), plus text block stop at 0
block_stops = [e for e in parsed if e.get("type") == "content_block_stop"]
stop_indices = [e["index"] for e in block_stops]
assert 0 in stop_indices
assert 1 in stop_indices
assert 2 in stop_indices
+2 -2
View File
@@ -42,7 +42,7 @@ from exo.utils.channels import channel
@pytest.mark.asyncio
async def test_master():
keypair = get_node_id_keypair()
node_id = NodeId(keypair.to_node_id())
node_id = NodeId(keypair.to_peer_id().to_base58())
session_id = SessionId(master_node_id=node_id, election_clock=0)
ge_sender, global_event_receiver = channel[ForwarderEvent]()
@@ -75,7 +75,7 @@ async def test_master():
async with anyio.create_task_group() as tg:
tg.start_soon(master.run)
sender_node_id = NodeId(f"{keypair.to_node_id()}_sender")
sender_node_id = NodeId(f"{keypair.to_peer_id().to_base58()}_sender")
# inject a NodeGatheredInfo event
logger.info("inject a NodeGatheredInfo event")
await local_event_sender.send(
+1 -1
View File
@@ -30,7 +30,7 @@ class ConnectionMessage(CamelCaseModel):
@classmethod
def from_update(cls, update: ConnectionUpdate) -> "ConnectionMessage":
return cls(
node_id=NodeId(update.peer_id),
node_id=NodeId(update.peer_id.to_base58()),
connection_type=ConnectionMessageType.from_update_type(update.update_type),
remote_ipv4=update.remote_ipv4,
remote_tcp_port=update.remote_tcp_port,
+3 -3
View File
@@ -221,7 +221,7 @@ def get_node_id_keypair(
Obtain the :class:`PeerId` by from it.
"""
# TODO(evan): bring back node id persistence once we figure out how to deal with duplicates
return Keypair.generate()
return Keypair.generate_ed25519()
def lock_path(path: str | bytes | PathLike[str] | PathLike[bytes]) -> Path:
return Path(str(path) + ".lock")
@@ -235,12 +235,12 @@ def get_node_id_keypair(
protobuf_encoded = f.read()
try: # if decoded successfully, save & return
return Keypair.from_bytes(protobuf_encoded)
return Keypair.from_protobuf_encoding(protobuf_encoded)
except ValueError as e: # on runtime error, assume corrupt file
logger.warning(f"Encountered error when trying to get keypair: {e}")
# if no valid credentials, create new ones and persist
with open(path, "w+b") as f:
keypair = Keypair.generate_ed25519()
f.write(keypair.to_bytes())
f.write(keypair.to_protobuf_encoding())
return keypair
+1 -3
View File
@@ -44,8 +44,7 @@ async def _refresh_card_cache():
async for toml_file in path.rglob("*.toml"):
try:
card = await ModelCard.load_from_path(toml_file)
if card.model_id not in _card_cache:
_card_cache[card.model_id] = card
_card_cache[card.model_id] = card
except (ValidationError, TOMLKitError):
pass
@@ -183,7 +182,6 @@ class ConfigData(BaseModel):
def supports_tensor(self) -> bool:
return self.architectures in [
["Glm4MoeLiteForCausalLM"],
["GlmMoeDsaForCausalLM"],
["DeepseekV32ForCausalLM"],
["DeepseekV3ForCausalLM"],
["Qwen3NextForCausalLM"],
@@ -23,7 +23,7 @@ def _get_keypair_concurrent_subprocess_task(
sem.release()
# wait to be told to begin simultaneous read
ev.wait()
queue.put(get_node_id_keypair().to_bytes())
queue.put(get_node_id_keypair().to_protobuf_encoding())
def _get_keypair_concurrent(num_procs: int) -> bytes:
+12 -37
View File
@@ -1,14 +1,19 @@
import time
from collections.abc import Generator
from typing import Annotated, Any, Literal, get_args
from typing import Annotated, Any, Literal
from uuid import uuid4
from pydantic import BaseModel, Field, field_validator
from pydantic import BaseModel, Field
from exo.shared.models.model_cards import ModelCard, ModelId
from exo.shared.types.common import CommandId, NodeId
from exo.shared.types.memory import Memory
from exo.shared.types.worker.instances import Instance, InstanceId, InstanceMeta
from exo.shared.types.worker.instances import (
Instance,
InstanceId,
InstanceMeta,
MlxDevice,
)
from exo.shared.types.worker.shards import Sharding, ShardMetadata
from exo.utils.pydantic_ext import CamelCaseModel
@@ -77,7 +82,7 @@ class ChatCompletionMessage(BaseModel):
content: (
str | ChatCompletionMessageText | list[ChatCompletionMessageText] | None
) = None
reasoning_content: str | None = None
thinking: str | None = None # Added for GPT-OSS harmony format support
name: str | None = None
tool_calls: list[ToolCall] | None = None
tool_call_id: str | None = None
@@ -226,6 +231,7 @@ class PlaceInstanceParams(BaseModel):
sharding: Sharding = Sharding.Pipeline
instance_meta: InstanceMeta = InstanceMeta.MlxRing
min_nodes: int = 1
mlx_device: MlxDevice = MlxDevice.Auto
class CreateInstanceParams(BaseModel):
@@ -262,27 +268,6 @@ 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
@@ -302,7 +287,7 @@ 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: ImageSize = "auto"
size: str | None = "1024x1024"
stream: bool | None = False
style: str | None = "vivid"
user: str | None = None
@@ -310,11 +295,6 @@ 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
@@ -331,18 +311,13 @@ 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: ImageSize = "auto"
size: str | None = "1024x1024"
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":
+1 -11
View File
@@ -27,7 +27,6 @@ class TokenChunk(BaseChunk):
stats: GenerationStats | None = None
logprob: float | None = None
top_logprobs: list[TopLogprobItem] | None = None
is_thinking: bool = False
class ErrorChunk(BaseChunk):
@@ -77,13 +76,4 @@ class InputImageChunk(BaseChunk):
yield name, value
class PrefillProgressChunk(BaseChunk):
"""Data class for prefill progress events during streaming."""
processed_tokens: int
total_tokens: int
GenerationChunk = (
TokenChunk | ImageChunk | ToolCallChunk | ErrorChunk | PrefillProgressChunk
)
GenerationChunk = TokenChunk | ImageChunk | ToolCallChunk | ErrorChunk
+4 -31
View File
@@ -47,14 +47,6 @@ class ClaudeImageBlock(BaseModel, frozen=True):
source: ClaudeImageSource
class ClaudeThinkingBlock(BaseModel, frozen=True):
"""Thinking content block in Claude Messages API."""
type: Literal["thinking"] = "thinking"
thinking: str
signature: str | None = None
class ClaudeToolUseBlock(BaseModel, frozen=True):
"""Tool use content block in Claude Messages API."""
@@ -74,17 +66,11 @@ class ClaudeToolResultBlock(BaseModel, frozen=True):
cache_control: dict[str, str] | None = None
ClaudeContentBlock = (
ClaudeTextBlock | ClaudeImageBlock | ClaudeThinkingBlock | ClaudeToolUseBlock
)
ClaudeContentBlock = ClaudeTextBlock | ClaudeImageBlock | ClaudeToolUseBlock
# Input content blocks can also include tool_result (sent by user after tool_use)
ClaudeInputContentBlock = (
ClaudeTextBlock
| ClaudeImageBlock
| ClaudeThinkingBlock
| ClaudeToolUseBlock
| ClaudeToolResultBlock
ClaudeTextBlock | ClaudeImageBlock | ClaudeToolUseBlock | ClaudeToolResultBlock
)
@@ -96,11 +82,6 @@ class ClaudeMessage(BaseModel, frozen=True):
content: str | list[ClaudeInputContentBlock]
class ClaudeThinkingConfig(BaseModel, frozen=True):
type: Literal["enabled", "disabled", "adaptive"]
budget_tokens: int | None = None
class ClaudeMessagesRequest(BaseModel):
"""Request body for Claude Messages API."""
@@ -115,7 +96,6 @@ class ClaudeMessagesRequest(BaseModel):
top_k: int | None = None
tools: list[ClaudeToolDefinition] | None = None
metadata: dict[str, str] | None = None
thinking: ClaudeThinkingConfig | None = None
# Response types
@@ -165,7 +145,7 @@ class ClaudeContentBlockStartEvent(BaseModel, frozen=True):
type: Literal["content_block_start"] = "content_block_start"
index: int
content_block: ClaudeTextBlock | ClaudeThinkingBlock | ClaudeToolUseBlock
content_block: ClaudeTextBlock | ClaudeToolUseBlock
class ClaudeTextDelta(BaseModel, frozen=True):
@@ -175,13 +155,6 @@ class ClaudeTextDelta(BaseModel, frozen=True):
text: str
class ClaudeThinkingDelta(BaseModel, frozen=True):
"""Delta for thinking content block."""
type: Literal["thinking_delta"] = "thinking_delta"
thinking: str
class ClaudeInputJsonDelta(BaseModel, frozen=True):
"""Delta for tool use input JSON content block."""
@@ -194,7 +167,7 @@ class ClaudeContentBlockDeltaEvent(BaseModel, frozen=True):
type: Literal["content_block_delta"] = "content_block_delta"
index: int
delta: ClaudeTextDelta | ClaudeThinkingDelta | ClaudeInputJsonDelta
delta: ClaudeTextDelta | ClaudeInputJsonDelta
class ClaudeContentBlockStopEvent(BaseModel, frozen=True):
+7 -1
View File
@@ -8,7 +8,12 @@ from exo.shared.types.api import (
from exo.shared.types.chunks import InputImageChunk
from exo.shared.types.common import CommandId, NodeId
from exo.shared.types.text_generation import TextGenerationTaskParams
from exo.shared.types.worker.instances import Instance, InstanceId, InstanceMeta
from exo.shared.types.worker.instances import (
Instance,
InstanceId,
InstanceMeta,
MlxDevice,
)
from exo.shared.types.worker.shards import Sharding, ShardMetadata
from exo.utils.pydantic_ext import CamelCaseModel, TaggedModel
@@ -38,6 +43,7 @@ class PlaceInstance(BaseCommand):
sharding: Sharding
instance_meta: InstanceMeta
min_nodes: int
mlx_device: MlxDevice = MlxDevice.Auto
class CreateInstance(BaseCommand):
+1 -4
View File
@@ -4,13 +4,10 @@ from collections.abc import Sequence
from mlx_lm.models.cache import (
ArraysCache,
CacheList,
KVCache,
QuantizedKVCache,
RotatingKVCache,
)
# This list contains one cache entry per transformer layer
KVCacheType = Sequence[
KVCache | RotatingKVCache | QuantizedKVCache | ArraysCache | CacheList
]
KVCacheType = Sequence[KVCache | RotatingKVCache | QuantizedKVCache | ArraysCache]
+1 -73
View File
@@ -145,23 +145,7 @@ class ResponseFunctionCallItem(BaseModel, frozen=True):
status: ResponseStatus = "completed"
class ResponseReasoningSummaryText(BaseModel, frozen=True):
"""Summary text part in a reasoning output item."""
type: Literal["summary_text"] = "summary_text"
text: str
class ResponseReasoningItem(BaseModel, frozen=True):
"""Reasoning output item in response output array."""
type: Literal["reasoning"] = "reasoning"
id: str
summary: list[ResponseReasoningSummaryText] = Field(default_factory=list)
status: ResponseStatus = "completed"
ResponseItem = ResponseMessageItem | ResponseFunctionCallItem | ResponseReasoningItem
ResponseItem = ResponseMessageItem | ResponseFunctionCallItem
class ResponseUsage(BaseModel, frozen=True):
@@ -289,58 +273,6 @@ class ResponseFunctionCallArgumentsDoneEvent(BaseModel, frozen=True):
arguments: str
class ResponseReasoningSummaryPartAddedEvent(BaseModel, frozen=True):
"""Event sent when a reasoning summary part is added."""
type: Literal["response.reasoning_summary_part.added"] = (
"response.reasoning_summary_part.added"
)
sequence_number: int
item_id: str
output_index: int
summary_index: int
part: ResponseReasoningSummaryText
class ResponseReasoningSummaryTextDeltaEvent(BaseModel, frozen=True):
"""Event sent for reasoning summary text delta during streaming."""
type: Literal["response.reasoning_summary_text.delta"] = (
"response.reasoning_summary_text.delta"
)
sequence_number: int
item_id: str
output_index: int
summary_index: int
delta: str
class ResponseReasoningSummaryTextDoneEvent(BaseModel, frozen=True):
"""Event sent when reasoning summary text is done."""
type: Literal["response.reasoning_summary_text.done"] = (
"response.reasoning_summary_text.done"
)
sequence_number: int
item_id: str
output_index: int
summary_index: int
text: str
class ResponseReasoningSummaryPartDoneEvent(BaseModel, frozen=True):
"""Event sent when a reasoning summary part is done."""
type: Literal["response.reasoning_summary_part.done"] = (
"response.reasoning_summary_part.done"
)
sequence_number: int
item_id: str
output_index: int
summary_index: int
part: ResponseReasoningSummaryText
class ResponseCompletedEvent(BaseModel, frozen=True):
"""Event sent when response is completed."""
@@ -360,9 +292,5 @@ ResponsesStreamEvent = (
| ResponseOutputItemDoneEvent
| ResponseFunctionCallArgumentsDeltaEvent
| ResponseFunctionCallArgumentsDoneEvent
| ResponseReasoningSummaryPartAddedEvent
| ResponseReasoningSummaryTextDeltaEvent
| ResponseReasoningSummaryTextDoneEvent
| ResponseReasoningSummaryPartDoneEvent
| ResponseCompletedEvent
)
+7
View File
@@ -16,9 +16,16 @@ class InstanceMeta(str, Enum):
MlxJaccl = "MlxJaccl"
class MlxDevice(str, Enum):
Auto = "Auto"
Cpu = "Cpu"
Gpu = "Gpu"
class BaseInstance(TaggedModel):
instance_id: InstanceId
shard_assignments: ShardAssignments
mlx_device: MlxDevice = MlxDevice.Auto
def shard(self, runner_id: RunnerId) -> ShardMetadata | None:
return self.shard_assignments.runner_to_shard.get(runner_id, None)
@@ -28,7 +28,6 @@ class GenerationResponse(BaseRunnerResponse):
finish_reason: FinishReason | None = None
stats: GenerationStats | None = None
usage: Usage | None
is_thinking: bool = False
class ImageGenerationResponse(BaseRunnerResponse):
@@ -68,8 +67,3 @@ class ToolCallResponse(BaseRunnerResponse):
class FinishedResponse(BaseRunnerResponse):
pass
class PrefillProgressResponse(BaseRunnerResponse):
processed_tokens: int
total_tokens: int
+1 -5
View File
@@ -1,4 +1,3 @@
import contextlib
import multiprocessing as mp
from dataclasses import dataclass, field
from math import inf
@@ -133,8 +132,7 @@ class MpSender[T]:
def close(self) -> None:
if not self._state.closed.is_set():
self._state.closed.set()
with contextlib.suppress(Exception):
self._state.buffer.put_nowait(_MpEndOfStream())
self._state.buffer.put(_MpEndOfStream())
self._state.buffer.close()
# == unique to Mp channels ==
@@ -206,8 +204,6 @@ class MpReceiver[T]:
def close(self) -> None:
if not self._state.closed.is_set():
self._state.closed.set()
with contextlib.suppress(Exception):
self._state.buffer.put_nowait(_MpEndOfStream())
self._state.buffer.close()
# == unique to Mp channels ==

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