Handle model timeouts (#1177 )

- Add eval with a timeout. - Add fast synch flag ## Motivation Because of the experimental FAST SYNCH flag, some models may not work. This PR catches when this occurs and allows users to specify a run without fast synch ## Changes - Adds a flag to enable or disable fast synch (--fast-synch and --no-fast-synch) - Adds a heuristic timeout - Reduces exo_bench default timeout to 10 minutes. ## Why It Works Heuristic timeout assumes normal loading times on Mac devices (60 + model size in gb / 5: e.g. DeepSeek takes up to 120 seconds to load on tensor parallel, and timeout is set to 60 + 120 = 180s. We could raise this value if necessary. ## Test Plan ### Manual Testing Catches that GPT OSS fails to load in Tensor RDMA Can launch with --no-fast-synch flag to launch GPT OSS. **GPT OSS 20B** TP with fast synch <img width="3064" height="456" alt="image" src="https://github.com/user-attachments/assets/f6e25cd8-8621-4e99-99fe-292ee05c4035" /> TP without fast synch <img width="3098" height="496" alt="image" src="https://github.com/user-attachments/assets/d36453d9-6686-4cfe-aa7c-a7d458369d4d" /> [Note: the performance is really not great as fast synch is off] (As a sanity check) PP with fast synch <img width="3124" height="496" alt="image" src="https://github.com/user-attachments/assets/e97d4547-c6fa-483d-badb-4b371b900b4c" /> PP without fast synch <img width="3078" height="508" alt="image" src="https://github.com/user-attachments/assets/b2e20dfd-4b0e-4295-8a92-417dfe745c28" /> PP without RDMA <img width="3070" height="498" alt="image" src="https://github.com/user-attachments/assets/a8509d68-0aef-4cda-bca5-a67d39a0801e" /> TP without RDMA <img width="3068" height="496" alt="image" src="https://github.com/user-attachments/assets/b5691429-89f4-4369-bcf2-8fde2ad7154a" />
Return error responses for Chat Completions (#1173 )
2026-01-17 02:18:47 -05:00 · 2026-01-16 20:25:12 +00:00 · 2026-01-16 19:24:37 +00:00 · 2026-01-16 17:26:06 +00:00 · 2026-01-16 17:05:24 +00:00 · 2026-01-16 16:47:33 +00:00
17 changed files with 970 additions and 115 deletions
--- a/.github/workflows/build-app.yml
+++ b/.github/workflows/build-app.yml
@@ -1,5 +1,16 @@
 name: Build EXO macOS DMG

+# Release workflow:
+# 1. Create a draft GitHub Release with the tag name (e.g. v1.0.0) and write release notes in markdown
+# 2. Push the tag: git tag v1.0.0 && git push origin v1.0.0
+# 3. This workflow builds, signs, and notarizes the DMG
+# 4. Release notes are embedded in appcast.xml for Sparkle (rendered as markdown)
+# 5. DMG and appcast.xml are uploaded to S3
+# 6. The draft GitHub Release is published with the DMG attached
+#
+# For alpha releases (e.g. v1.0.0-alpha.1): draft release and notes are optional.
+# If no draft exists, a release is auto-created with generated notes.
+
 on:
  workflow_dispatch:
  push:
@@ -11,8 +22,10 @@ on:
 jobs:
  build-macos-app:
    runs-on: "macos-26"
+    permissions:
+      contents: write
    env:
-      SPARKLE_VERSION: 2.8.1
+      SPARKLE_VERSION: 2.9.0-beta.1
      SPARKLE_DOWNLOAD_PREFIX: ${{ secrets.SPARKLE_DOWNLOAD_PREFIX }}
      SPARKLE_FEED_URL: ${{ secrets.SPARKLE_FEED_URL }}
      SPARKLE_ED25519_PUBLIC: ${{ secrets.SPARKLE_ED25519_PUBLIC }}
@@ -87,6 +100,52 @@ jobs:
            exit 1
          fi

+      - name: Fetch and validate release notes
+        if: github.ref_type == 'tag'
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          # Find draft release by name using gh release list (more reliable with default token)
+          echo "Looking for draft release named '$GITHUB_REF_NAME'..."
+          DRAFT_EXISTS=$(gh release list --json name,isDraft --jq ".[] | select(.isDraft == true) | select(.name == \"$GITHUB_REF_NAME\") | .name" 2>/dev/null || echo "")
+
+          if [[ -z "$DRAFT_EXISTS" ]]; then
+            if [[ "$IS_ALPHA" == "true" ]]; then
+              echo "No draft release found for alpha tag $GITHUB_REF_NAME (optional for alphas)"
+              echo "HAS_RELEASE_NOTES=false" >> $GITHUB_ENV
+              exit 0
+            fi
+            echo "ERROR: No draft release found for tag $GITHUB_REF_NAME"
+            echo "Please create a draft release with release notes before pushing the tag."
+            exit 1
+          fi
+
+          # Fetch full release details via API to get body and ID
+          echo "Found draft release, fetching details..."
+          RELEASE_JSON=$(gh api repos/${{ github.repository }}/releases --jq ".[] | select(.draft == true) | select(.name == \"$GITHUB_REF_NAME\")" 2>/dev/null || echo "")
+
+          # Extract release notes
+          NOTES=$(echo "$RELEASE_JSON" | jq -r '.body // ""')
+          if [[ -z "$NOTES" || "$NOTES" == "null" ]]; then
+            if [[ "$IS_ALPHA" == "true" ]]; then
+              echo "Draft release has no notes (optional for alphas)"
+              echo "HAS_RELEASE_NOTES=false" >> $GITHUB_ENV
+              exit 0
+            fi
+            echo "ERROR: Draft release exists but has no release notes"
+            echo "Please add release notes to the draft release before pushing the tag."
+            exit 1
+          fi
+
+          # Save release ID for later publishing
+          RELEASE_ID=$(echo "$RELEASE_JSON" | jq -r '.id')
+          echo "DRAFT_RELEASE_ID=$RELEASE_ID" >> $GITHUB_ENV
+          echo "HAS_RELEASE_NOTES=true" >> $GITHUB_ENV
+
+          echo "Found draft release (ID: $RELEASE_ID), saving release notes..."
+          echo "$NOTES" > /tmp/release_notes.md
+          echo "RELEASE_NOTES_FILE=/tmp/release_notes.md" >> $GITHUB_ENV
+
      # ============================================================
      # Install dependencies
      # ============================================================
@@ -304,6 +363,28 @@ jobs:
            $CHANNEL_FLAG \
            .

+      - name: Inject release notes into appcast
+        if: github.ref_type == 'tag' && env.HAS_RELEASE_NOTES == 'true'
+        env:
+          RELEASE_VERSION: ${{ env.RELEASE_VERSION }}
+        run: |
+          # Inject markdown release notes with sparkle:format="markdown" (Sparkle 2.9+)
+          export NOTES=$(cat "$RELEASE_NOTES_FILE")
+
+          # Insert description after the enclosure tag for this version
+          awk '
+            /<enclosure[^>]*>/ && index($0, ENVIRON["RELEASE_VERSION"]) {
+              print
+              print "            <description sparkle:format=\"markdown\"><![CDATA["
+              print ENVIRON["NOTES"]
+              print "            ]]></description>"
+              next
+            }
+            { print }
+          ' output/appcast.xml > output/appcast.xml.tmp && mv output/appcast.xml.tmp output/appcast.xml
+
+          echo "Injected markdown release notes for version $RELEASE_VERSION"
+
      # ============================================================
      # Upload artifacts
      # ============================================================
@@ -336,3 +417,26 @@ jobs:
            aws s3 cp "$DMG_NAME" "s3://${SPARKLE_S3_BUCKET}/${PREFIX}EXO-latest.dmg"
            aws s3 cp appcast.xml "s3://${SPARKLE_S3_BUCKET}/${PREFIX}appcast.xml" --content-type application/xml --cache-control no-cache
          fi
+
+      - name: Publish GitHub Release
+        if: github.ref_type == 'tag'
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          DMG_PATH="output/EXO-${RELEASE_VERSION}.dmg"
+
+          if [[ "$HAS_RELEASE_NOTES" == "true" ]]; then
+            # Update the draft release with the tag and upload DMG
+            gh api --method PATCH "repos/${{ github.repository }}/releases/$DRAFT_RELEASE_ID" \
+              -f tag_name="$GITHUB_REF_NAME" \
+              -F draft=false
+            gh release upload "$GITHUB_REF_NAME" "$DMG_PATH" --clobber
+            echo "Published release $GITHUB_REF_NAME with DMG attached"
+          else
+            # Alpha without draft release - create one with auto-generated notes
+            gh release create "$GITHUB_REF_NAME" "$DMG_PATH" \
+              --title "$GITHUB_REF_NAME" \
+              --generate-notes \
+              --prerelease
+            echo "Created alpha release $GITHUB_REF_NAME with auto-generated notes"
+          fi
--- a/app/EXO/EXO.xcodeproj/project.pbxproj
+++ b/app/EXO/EXO.xcodeproj/project.pbxproj
@@ -585,7 +585,7 @@
 			repositoryURL = "https://github.com/sparkle-project/Sparkle.git";
 			requirement = {
 				kind = upToNextMajorVersion;
-				minimumVersion = 2.8.1;
+				minimumVersion = 2.9.0-beta.1;
 			};
 		};
 /* End XCRemoteSwiftPackageReference section */
--- a/app/EXO/EXO.xcodeproj/project.xcworkspace/xcshareddata/swiftpm/Package.resolved
+++ b/app/EXO/EXO.xcodeproj/project.xcworkspace/xcshareddata/swiftpm/Package.resolved
@@ -6,8 +6,8 @@
      "kind" : "remoteSourceControl",
      "location" : "https://github.com/sparkle-project/Sparkle.git",
      "state" : {
-        "revision" : "5581748cef2bae787496fe6d61139aebe0a451f6",
-        "version" : "2.8.1"
+        "revision" : "e641adb41915a8409895e2e30666aa64e487b637",
+        "version" : "2.9.0-beta.1"
      }
    }
  ],
--- a/bench/exo_bench.py
+++ b/bench/exo_bench.py
@@ -3,6 +3,7 @@
 from __future__ import annotations

 import argparse
+import contextlib
 import http.client
 import json
 import os
@@ -26,7 +27,7 @@ class ExoHttpError(RuntimeError):


 class ExoClient:
-    def __init__(self, host: str, port: int, timeout_s: float = 2400.0):
+    def __init__(self, host: str, port: int, timeout_s: float = 600.0):
        self.host = host
        self.port = port
        self.timeout_s = timeout_s
@@ -104,22 +105,46 @@ 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

@@ -299,6 +324,12 @@ def main() -> 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"
    )
@@ -320,7 +351,7 @@ def main() -> int:
        help="Warmup runs per placement (uses first pp/tg).",
    )
    ap.add_argument(
-        "--timeout", type=float, default=2400.0, help="HTTP timeout (seconds)."
+        "--timeout", type=float, default=600.0, help="HTTP timeout (seconds)."
    )
    ap.add_argument(
        "--json-out",
@@ -399,7 +430,7 @@ def main() -> int:
        ):
            continue

-        if 0 < n <= args.max_nodes:
+        if args.min_nodes <= n <= args.max_nodes:
            selected.append(p)

    if not selected:
@@ -441,7 +472,13 @@ def main() -> int:
        )

        client.request_json("POST", "/instance", body={"instance": instance})
-        wait_for_instance_ready(client, instance_id)
+        try:
+            wait_for_instance_ready(client, instance_id)
+        except (RuntimeError, TimeoutError) as e:
+            logger.error(f"Failed to initialize placement: {e}")
+            with contextlib.suppress(ExoHttpError):
+                client.request_json("DELETE", f"/instance/{instance_id}")
+            continue

        time.sleep(1)

--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,6 +6,8 @@ readme = "README.md"
 requires-python = ">=3.13"
 dependencies = [
    "aiofiles>=24.1.0",
+    "aiohttp>=3.12.14",
+    "types-aiofiles>=24.1.0.20250708",
    "pydantic>=2.11.7",
    "fastapi>=0.116.1",
    "filelock>=3.18.0",
--- a/src/exo/main.py
+++ b/src/exo/main.py
@@ -205,6 +205,14 @@ def main():
    logger.info("Starting EXO")
    logger.info(f"EXO_LIBP2P_NAMESPACE: {os.getenv('EXO_LIBP2P_NAMESPACE')}")

+    # Set FAST_SYNCH override env var for runner subprocesses
+    if args.fast_synch is True:
+        os.environ["EXO_FAST_SYNCH"] = "on"
+        logger.info("FAST_SYNCH forced ON")
+    elif args.fast_synch is False:
+        os.environ["EXO_FAST_SYNCH"] = "off"
+        logger.info("FAST_SYNCH forced OFF")
+
    node = anyio.run(Node.create, args)
    anyio.run(node.run)
    logger.info("EXO Shutdown complete")
@@ -218,6 +226,7 @@ class Args(CamelCaseModel):
    api_port: PositiveInt = 52415
    tb_only: bool = False
    no_worker: bool = False
+    fast_synch: bool | None = None  # None = auto, True = force on, False = force off

    @classmethod
    def parse(cls) -> Self:
@@ -259,6 +268,20 @@ class Args(CamelCaseModel):
            "--no-worker",
            action="store_true",
        )
+        fast_synch_group = parser.add_mutually_exclusive_group()
+        fast_synch_group.add_argument(
+            "--fast-synch",
+            action="store_true",
+            dest="fast_synch",
+            default=None,
+            help="Force MLX FAST_SYNCH on (for JACCL backend)",
+        )
+        fast_synch_group.add_argument(
+            "--no-fast-synch",
+            action="store_false",
+            dest="fast_synch",
+            help="Force MLX FAST_SYNCH off",
+        )

        args = parser.parse_args()
        return cls(**vars(args))  # pyright: ignore[reportAny] - We are intentionally validating here, we can't do it statically
--- a/src/exo/master/api.py
+++ b/src/exo/master/api.py
@@ -1,13 +1,14 @@
 import time
 from collections.abc import AsyncGenerator
+from http import HTTPStatus
 from typing import cast

 import anyio
-from anyio import create_task_group
+from anyio import BrokenResourceError, create_task_group
 from anyio.abc import TaskGroup
-from fastapi import FastAPI, HTTPException
+from fastapi import FastAPI, HTTPException, Request
 from fastapi.middleware.cors import CORSMiddleware
-from fastapi.responses import StreamingResponse
+from fastapi.responses import JSONResponse, StreamingResponse
 from fastapi.staticfiles import StaticFiles
 from hypercorn.asyncio import serve  # pyright: ignore[reportUnknownVariableType]
 from hypercorn.config import Config
@@ -29,6 +30,8 @@ from exo.shared.types.api import (
    CreateInstanceParams,
    CreateInstanceResponse,
    DeleteInstanceResponse,
+    ErrorInfo,
+    ErrorResponse,
    FinishReason,
    GenerationStats,
    ModelList,
@@ -49,7 +52,12 @@ from exo.shared.types.commands import (
    TaskFinished,
 )
 from exo.shared.types.common import CommandId, NodeId, SessionId
-from exo.shared.types.events import ChunkGenerated, Event, ForwarderEvent, IndexedEvent
+from exo.shared.types.events import (
+    ChunkGenerated,
+    Event,
+    ForwarderEvent,
+    IndexedEvent,
+)
 from exo.shared.types.memory import Memory
 from exo.shared.types.models import ModelId, ModelMetadata
 from exo.shared.types.state import State
@@ -115,6 +123,7 @@ class API:
        self.paused_ev: anyio.Event = anyio.Event()

        self.app = FastAPI()
+        self._setup_exception_handlers()
        self._setup_cors()
        self._setup_routes()

@@ -145,6 +154,20 @@ class API:
        self.paused_ev.set()
        self.paused_ev = anyio.Event()

+    def _setup_exception_handlers(self) -> None:
+        @self.app.exception_handler(HTTPException)
+        async def http_exception_handler(  # pyright: ignore[reportUnusedFunction]
+            _: Request, exc: HTTPException
+        ) -> JSONResponse:
+            err = ErrorResponse(
+                error=ErrorInfo(
+                    message=exc.detail,
+                    type=HTTPStatus(exc.status_code).phrase,
+                    code=exc.status_code,
+                )
+            )
+            return JSONResponse(err.model_dump(), status_code=exc.status_code)
+
    def _setup_cors(self) -> None:
        self.app.add_middleware(
            CORSMiddleware,
@@ -406,6 +429,18 @@ class API:
        """Generate chat completion stream as JSON strings."""

        async for chunk in self._chat_chunk_stream(command_id):
+            if chunk.finish_reason == "error":
+                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
+
            chunk_response: ChatCompletionResponse = chunk_to_response(
                chunk, command_id
            )
@@ -426,6 +461,12 @@ class API:
        finish_reason: FinishReason | None = None

        async for chunk in self._chat_chunk_stream(command_id):
+            if chunk.finish_reason == "error":
+                raise HTTPException(
+                    status_code=500,
+                    detail=chunk.error_message or "Internal server error",
+                )
+
            if model is None:
                model = chunk.model

@@ -463,6 +504,12 @@ class API:
        stats: GenerationStats | None = None

        async for chunk in self._chat_chunk_stream(command_id):
+            if chunk.finish_reason == "error":
+                raise HTTPException(
+                    status_code=500,
+                    detail=chunk.error_message or "Internal server error",
+                )
+
            if model is None:
                model = chunk.model

@@ -607,14 +654,14 @@ class API:
                for idx, event in self.event_buffer.drain_indexed():
                    self._event_log.append(event)
                    self.state = apply(self.state, IndexedEvent(event=event, idx=idx))
-                    if (
-                        isinstance(event, ChunkGenerated)
-                        and event.command_id in self._chat_completion_queues
-                    ):
+                    if isinstance(event, ChunkGenerated):
                        assert isinstance(event.chunk, TokenChunk)
-                        await self._chat_completion_queues[event.command_id].send(
-                            event.chunk
-                        )
+                        queue = self._chat_completion_queues.get(event.command_id)
+                        if queue is not None:
+                            try:
+                                await queue.send(event.chunk)
+                            except BrokenResourceError:
+                                self._chat_completion_queues.pop(event.command_id, None)

    async def _pause_on_new_election(self):
        with self.election_receiver as ems:
--- a/src/exo/master/tests/test_api_error_handling.py
+++ b/src/exo/master/tests/test_api_error_handling.py
@@ -0,0 +1,107 @@
+# pyright: reportUnusedFunction=false, reportAny=false
+from typing import Any, get_args
+
+from fastapi import FastAPI, HTTPException
+from fastapi.testclient import TestClient
+
+from exo.shared.types.api import ErrorInfo, ErrorResponse, FinishReason
+from exo.shared.types.chunks import TokenChunk
+from exo.worker.tests.constants import MODEL_A_ID
+
+
+def test_http_exception_handler_formats_openai_style() -> None:
+    """Test that HTTPException is converted to OpenAI-style error format."""
+    from exo.master.api import API
+
+    app = FastAPI()
+
+    # Setup exception handler
+    api = object.__new__(API)
+    api.app = app
+    api._setup_exception_handlers()  # pyright: ignore[reportPrivateUsage]
+
+    # Add test routes that raise HTTPException
+    @app.get("/test-error")
+    async def _test_error() -> None:
+        raise HTTPException(status_code=500, detail="Test error message")
+
+    @app.get("/test-not-found")
+    async def _test_not_found() -> None:
+        raise HTTPException(status_code=404, detail="Resource not found")
+
+    client = TestClient(app)
+
+    # Test 500 error
+    response = client.get("/test-error")
+    assert response.status_code == 500
+    data: dict[str, Any] = response.json()
+    assert "error" in data
+    assert data["error"]["message"] == "Test error message"
+    assert data["error"]["type"] == "Internal Server Error"
+    assert data["error"]["code"] == 500
+
+    # Test 404 error
+    response = client.get("/test-not-found")
+    assert response.status_code == 404
+    data = response.json()
+    assert "error" in data
+    assert data["error"]["message"] == "Resource not found"
+    assert data["error"]["type"] == "Not Found"
+    assert data["error"]["code"] == 404
+
+
+def test_finish_reason_includes_error() -> None:
+    valid_reasons = get_args(FinishReason)
+    assert "error" in valid_reasons
+
+
+def test_token_chunk_with_error_fields() -> None:
+    chunk = TokenChunk(
+        idx=0,
+        model=MODEL_A_ID,
+        text="",
+        token_id=0,
+        finish_reason="error",
+        error_message="Something went wrong",
+    )
+
+    assert chunk.finish_reason == "error"
+    assert chunk.error_message == "Something went wrong"
+
+
+def test_token_chunk_without_error() -> None:
+    chunk = TokenChunk(
+        idx=1,
+        model=MODEL_A_ID,
+        text="Hello",
+        token_id=42,
+        finish_reason=None,
+    )
+
+    assert chunk.finish_reason is None
+    assert chunk.error_message is None
+
+
+def test_error_response_construction() -> None:
+    error_response = ErrorResponse(
+        error=ErrorInfo(
+            message="Generation failed",
+            type="InternalServerError",
+            code=500,
+        )
+    )
+
+    assert error_response.error.message == "Generation failed"
+    assert error_response.error.code == 500
+
+
+def test_normal_finish_reasons_still_work() -> None:
+    for reason in ["stop", "length", "tool_calls", "content_filter", "function_call"]:
+        chunk = TokenChunk(
+            idx=0,
+            model=MODEL_A_ID,
+            text="done",
+            token_id=100,
+            finish_reason=reason,  # type: ignore[arg-type]
+        )
+        assert chunk.finish_reason == reason
--- a/src/exo/shared/types/api.py
+++ b/src/exo/shared/types/api.py
@@ -11,10 +11,21 @@ from exo.shared.types.worker.instances import Instance, InstanceId, InstanceMeta
 from exo.shared.types.worker.shards import Sharding

 FinishReason = Literal[
-    "stop", "length", "tool_calls", "content_filter", "function_call"
+    "stop", "length", "tool_calls", "content_filter", "function_call", "error"
 ]


+class ErrorInfo(BaseModel):
+    message: str
+    type: str
+    param: str | None = None
+    code: int
+
+
+class ErrorResponse(BaseModel):
+    error: ErrorInfo
+
+
 class ModelListModel(BaseModel):
    id: str
    object: str = "model"
--- a/src/exo/shared/types/chunks.py
+++ b/src/exo/shared/types/chunks.py
@@ -22,6 +22,7 @@ class TokenChunk(BaseChunk):
    token_id: int
    finish_reason: FinishReason | None = None
    stats: GenerationStats | None = None
+    error_message: str | None = None


 class ImageChunk(BaseChunk):
--- a/src/exo/worker/download/download_utils.py
+++ b/src/exo/worker/download/download_utils.py
@@ -7,13 +7,13 @@ import time
 import traceback
 from datetime import timedelta
 from pathlib import Path
-from typing import Callable, Literal, cast
+from typing import Callable, Literal
 from urllib.parse import urljoin

 import aiofiles
 import aiofiles.os as aios
+import aiohttp
 import certifi
-import httpx
 from loguru import logger
 from pydantic import (
    BaseModel,
@@ -207,22 +207,23 @@ async def _fetch_file_list(
    headers = await get_download_headers()
    async with (
        create_http_session(timeout_profile="short") as session,
+        session.get(url, headers=headers) as response,
    ):
-        response = await session.get(url, headers=headers)
-        if response.status_code != 200:
-            raise Exception(f"Failed to fetch file list: {response.status_code}")
-
-        data = TypeAdapter(list[FileListEntry]).validate_json(response.text)
-        files: list[FileListEntry] = []
-        for item in data:
-            if item.type == "file":
-                files.append(FileListEntry.model_validate(item))
-            elif item.type == "directory" and recursive:
-                subfiles = await _fetch_file_list(
-                    repo_id, revision, item.path, recursive
-                )
-                files.extend(subfiles)
-        return files
+        if response.status == 200:
+            data_json = await response.text()
+            data = TypeAdapter(list[FileListEntry]).validate_json(data_json)
+            files: list[FileListEntry] = []
+            for item in data:
+                if item.type == "file":
+                    files.append(FileListEntry.model_validate(item))
+                elif item.type == "directory" and recursive:
+                    subfiles = await _fetch_file_list(
+                        repo_id, revision, item.path, recursive
+                    )
+                    files.extend(subfiles)
+            return files
+        else:
+            raise Exception(f"Failed to fetch file list: {response.status}")


 async def get_download_headers() -> dict[str, str]:
@@ -230,25 +231,31 @@ async def get_download_headers() -> dict[str, str]:


 def create_http_session(
+    auto_decompress: bool = False,
    timeout_profile: Literal["short", "long"] = "long",
-) -> httpx.AsyncClient:
+) -> aiohttp.ClientSession:
    if timeout_profile == "short":
        total_timeout = 30
        connect_timeout = 10
-        read_timeout = 30
+        sock_read_timeout = 30
+        sock_connect_timeout = 10
    else:
        total_timeout = 1800
        connect_timeout = 60
-        read_timeout = 1800
+        sock_read_timeout = 1800
+        sock_connect_timeout = 60

    ssl_context = ssl.create_default_context(cafile=certifi.where())
+    connector = aiohttp.TCPConnector(ssl=ssl_context)

-    return httpx.AsyncClient(
-        verify=ssl_context,
-        timeout=httpx.Timeout(
+    return aiohttp.ClientSession(
+        auto_decompress=auto_decompress,
+        connector=connector,
+        timeout=aiohttp.ClientTimeout(
+            total=total_timeout,
            connect=connect_timeout,
-            read=read_timeout,
-            write=total_timeout,
+            sock_read=sock_read_timeout,
+            sock_connect=sock_connect_timeout,
        ),
    )

@@ -275,25 +282,23 @@ async def file_meta(
    headers = await get_download_headers()
    async with (
        create_http_session(timeout_profile="short") as session,
+        session.head(url, headers=headers) as r,
    ):
-        r = await session.head(url, headers=headers)
-        if r.status_code == 307:
+        if r.status == 307:
            # On redirect, only trust Hugging Face's x-linked-* headers.
-            x_linked_size = cast(str | None, r.headers.get("x-linked-size"))
-            x_linked_etag = cast(str | None, r.headers.get("x-linked-etag"))
+            x_linked_size = r.headers.get("x-linked-size")
+            x_linked_etag = r.headers.get("x-linked-etag")
            if x_linked_size and x_linked_etag:
                content_length = int(x_linked_size)
                etag = trim_etag(x_linked_etag)
                return content_length, etag
            # Otherwise, follow the redirect to get authoritative size/hash
-            redirected_location = cast(str | None, r.headers.get("location"))
+            redirected_location = r.headers.get("location")
            return await file_meta(repo_id, revision, path, redirected_location)
-        content_length = cast(
-            str | None,
-            r.headers.get("x-linked-size") or r.headers.get("content-length"),
+        content_length = int(
+            r.headers.get("x-linked-size") or r.headers.get("content-length") or 0
        )
-        content_length = 0 if content_length is None else int(content_length)
-        etag = cast(str | None, r.headers.get("x-linked-etag") or r.headers.get("etag"))
+        etag = r.headers.get("x-linked-etag") or r.headers.get("etag")
        assert content_length > 0, f"No content length for {url}"
        assert etag is not None, f"No remote hash for {url}"
        etag = trim_etag(etag)
@@ -352,17 +357,17 @@ async def _download_file(
        n_read = resume_byte_pos or 0
        async with (
            create_http_session(timeout_profile="long") as session,
+            session.get(url, headers=headers) as r,
        ):
-            r = await session.get(url, headers=headers)
-            if r.status_code == 404:
+            if r.status == 404:
                raise FileNotFoundError(f"File not found: {url}")
-            assert r.status_code in [200, 206], (
-                f"Failed to download {path} from {url}: {r.status_code}"
+            assert r.status in [200, 206], (
+                f"Failed to download {path} from {url}: {r.status}"
            )
            async with aiofiles.open(
                partial_path, "ab" if resume_byte_pos else "wb"
            ) as f:
-                async for chunk in r.aiter_bytes(8 * 1024 * 1024):
+                while chunk := await r.content.read(8 * 1024 * 1024):
                    n_read = n_read + (await f.write(chunk))
                    on_progress(n_read, length, False)

--- a/src/exo/worker/engines/mlx/utils_mlx.py
+++ b/src/exo/worker/engines/mlx/utils_mlx.py
@@ -2,7 +2,9 @@ import json
 import os
 import resource
 import sys
+import threading
 import time
+from collections.abc import Callable
 from pathlib import Path
 from typing import Any, cast

@@ -82,6 +84,45 @@ def get_weights_size(model_shard_meta: ShardMetadata) -> Memory:
    )


+class ModelLoadingTimeoutError(Exception):
+    pass
+
+
+TimeoutCallback = Callable[[], None]
+
+
+def eval_with_timeout(
+    mlx_item: Any,  # pyright: ignore[reportAny]
+    timeout_seconds: float = 60.0,
+    on_timeout: TimeoutCallback | None = None,
+) -> None:
+    """Evaluate MLX item with a hard timeout.
+
+    If on_timeout callback is provided, it will be called before terminating
+    the process. This allows the runner to send a failure event before exit.
+    """
+    completed = threading.Event()
+
+    def watchdog() -> None:
+        if not completed.wait(timeout=timeout_seconds):
+            logger.error(
+                f"mlx_item evaluation timed out after {timeout_seconds:.0f}s. "
+                "This may indicate an issue with FAST_SYNCH and tensor parallel sharding. "
+                "Terminating process."
+            )
+            if on_timeout is not None:
+                on_timeout()
+            os._exit(1)
+
+    watchdog_thread = threading.Thread(target=watchdog, daemon=True)
+    watchdog_thread.start()
+
+    try:
+        mx.eval(mlx_item)  # pyright: ignore[reportAny]
+    finally:
+        completed.set()
+
+
 def mx_barrier(group: Group | None = None):
    mx.eval(
        mx.distributed.all_sum(
@@ -188,7 +229,9 @@ def initialize_mlx(


 def load_mlx_items(
-    bound_instance: BoundInstance, group: Group | None
+    bound_instance: BoundInstance,
+    group: Group | None,
+    on_timeout: TimeoutCallback | None = None,
 ) -> tuple[Model, TokenizerWrapper]:
    if group is None:
        logger.info(f"Single device used for {bound_instance.instance}")
@@ -202,7 +245,9 @@ def load_mlx_items(
    else:
        logger.info("Starting distributed init")
        start_time = time.perf_counter()
-        model, tokenizer = shard_and_load(bound_instance.bound_shard, group=group)
+        model, tokenizer = shard_and_load(
+            bound_instance.bound_shard, group=group, on_timeout=on_timeout
+        )
        end_time = time.perf_counter()
        logger.info(
            f"Time taken to shard and load model: {(end_time - start_time):.2f}s"
@@ -216,6 +261,7 @@ def load_mlx_items(
 def shard_and_load(
    shard_metadata: ShardMetadata,
    group: Group,
+    on_timeout: TimeoutCallback | None = None,
 ) -> tuple[nn.Module, TokenizerWrapper]:
    model_path = build_model_path(shard_metadata.model_meta.model_id)

@@ -252,7 +298,15 @@ def shard_and_load(
            logger.info(f"loading model from {model_path} with pipeline parallelism")
            model = pipeline_auto_parallel(model, group, shard_metadata)

-    mx.eval(model.parameters())
+    # Estimate timeout based on model size
+    base_timeout = float(os.environ.get("EXO_MODEL_LOAD_TIMEOUT", "60"))
+    model_size_gb = get_weights_size(shard_metadata).in_bytes / (1024**3)
+    timeout_seconds = base_timeout + model_size_gb / 5
+    logger.info(
+        f"Evaluating model parameters with timeout of {timeout_seconds:.0f}s "
+        f"(model size: {model_size_gb:.1f}GB)"
+    )
+    eval_with_timeout(model.parameters(), timeout_seconds, on_timeout)

    # TODO: Do we need this?
    mx.eval(model)
--- a/src/exo/worker/runner/bootstrap.py
+++ b/src/exo/worker/runner/bootstrap.py
@@ -17,15 +17,23 @@ def entrypoint(
    task_receiver: MpReceiver[Task],
    _logger: "loguru.Logger",
 ) -> None:
-    if (
-        isinstance(bound_instance.instance, MlxJacclInstance)
-        and len(bound_instance.instance.ibv_devices) >= 2
+    fast_synch_override = os.environ.get("EXO_FAST_SYNCH")
+    if fast_synch_override == "on" or (
+        fast_synch_override != "off"
+        and (
+            isinstance(bound_instance.instance, MlxJacclInstance)
+            and len(bound_instance.instance.ibv_devices) >= 2
+        )
    ):
        os.environ["MLX_METAL_FAST_SYNCH"] = "1"
+    else:
+        os.environ["MLX_METAL_FAST_SYNCH"] = "0"

    global logger
    logger = _logger

+    logger.info(f"Fast synch flag: {os.environ['MLX_METAL_FAST_SYNCH']}")
+
    # Import main after setting global logger - this lets us just import logger from this module
    try:
        from exo.worker.runner.runner import main
--- a/src/exo/worker/runner/runner.py
+++ b/src/exo/worker/runner/runner.py
@@ -1,6 +1,8 @@
 import time
 from collections.abc import Generator
+from contextlib import contextmanager
 from functools import cache
+from typing import cast

 import mlx.core as mx
 from mlx_lm.models.gpt_oss import Model as GptOssModel
@@ -13,6 +15,7 @@ from openai_harmony import (  # pyright: ignore[reportMissingTypeStubs]

 from exo.shared.types.api import ChatCompletionMessageText
 from exo.shared.types.chunks import TokenChunk
+from exo.shared.types.common import CommandId
 from exo.shared.types.events import (
    ChunkGenerated,
    Event,
@@ -20,6 +23,7 @@ from exo.shared.types.events import (
    TaskAcknowledged,
    TaskStatusUpdated,
 )
+from exo.shared.types.models import ModelId
 from exo.shared.types.tasks import (
    ChatCompletion,
    ConnectToGroup,
@@ -48,6 +52,7 @@ from exo.shared.types.worker.runners import (
    RunnerWarmingUp,
 )
 from exo.utils.channels import MpReceiver, MpSender
+from exo.worker.engines.mlx import Model
 from exo.worker.engines.mlx.generator.generate import mlx_generate, warmup_inference
 from exo.worker.engines.mlx.utils_mlx import (
    initialize_mlx,
@@ -57,6 +62,33 @@ from exo.worker.engines.mlx.utils_mlx import (
 from exo.worker.runner.bootstrap import logger


+@contextmanager
+def send_error_chunk_on_exception(
+    event_sender: MpSender[Event],
+    command_id: CommandId,
+    model_id: ModelId,
+    device_rank: int,
+):
+    try:
+        yield
+    except Exception as e:
+        logger.error(e)
+        if device_rank == 0:
+            event_sender.send(
+                ChunkGenerated(
+                    command_id=command_id,
+                    chunk=TokenChunk(
+                        idx=0,
+                        model=model_id,
+                        text="",
+                        token_id=0,
+                        finish_reason="error",
+                        error_message=str(e),
+                    ),
+                )
+            )
+
+
 def main(
    bound_instance: BoundInstance,
    event_sender: MpSender[Event],
@@ -118,7 +150,20 @@ def main(
                        )
                    )

-                    model, tokenizer = load_mlx_items(bound_instance, group)
+                    def on_model_load_timeout() -> None:
+                        event_sender.send(
+                            RunnerStatusUpdated(
+                                runner_id=runner_id,
+                                runner_status=RunnerFailed(
+                                    error_message="Model loading timed out"
+                                ),
+                            )
+                        )
+                        time.sleep(0.5)
+
+                    model, tokenizer = load_mlx_items(
+                        bound_instance, group, on_timeout=on_model_load_timeout
+                    )

                    current_status = RunnerLoaded()
                    logger.info("runner loaded")
@@ -135,7 +180,7 @@ def main(

                    logger.info(f"warming up inference for instance: {instance}")
                    toks = warmup_inference(
-                        model=model,
+                        model=cast(Model, model),
                        tokenizer=tokenizer,
                        # kv_prefix_cache=kv_prefix_cache,  # supply for warmup-time prefix caching
                    )
@@ -148,8 +193,6 @@ def main(
                case ChatCompletion(task_params=task_params, command_id=command_id) if (
                    isinstance(current_status, RunnerReady)
                ):
-                    assert model
-                    assert tokenizer
                    logger.info(f"received chat request: {str(task)[:500]}")
                    current_status = RunnerRunning()
                    logger.info("runner running")
@@ -158,41 +201,47 @@ def main(
                            runner_id=runner_id, runner_status=current_status
                        )
                    )
-                    assert task_params.messages[0].content is not None
-                    _check_for_debug_prompts(task_params.messages[0].content)
+                    with send_error_chunk_on_exception(
+                        event_sender,
+                        command_id,
+                        shard_metadata.model_meta.model_id,
+                        shard_metadata.device_rank,
+                    ):
+                        assert model
+                        assert tokenizer
+                        assert task_params.messages[0].content is not None
+                        _check_for_debug_prompts(task_params.messages[0].content)

-                    # Generate responses using the actual MLX generation
-                    mlx_generator = mlx_generate(
-                        model=model,
-                        tokenizer=tokenizer,
-                        task=task_params,
-                    )
+                        # Generate responses using the actual MLX generation
+                        mlx_generator = mlx_generate(
+                            model=cast(Model, model),
+                            tokenizer=tokenizer,
+                            task=task_params,
+                        )

-                    # GPT-OSS specific parsing to match other model formats.
-                    if isinstance(model, GptOssModel):
-                        mlx_generator = parse_gpt_oss(mlx_generator)
+                        # GPT-OSS specific parsing to match other model formats.
+                        if isinstance(model, GptOssModel):
+                            mlx_generator = parse_gpt_oss(mlx_generator)

-                    # TODO: Add tool call parser here
+                        # TODO: Add tool call parser here

-                    for response in mlx_generator:
-                        match response:
-                            case GenerationResponse():
-                                if shard_metadata.device_rank == 0:
-                                    event_sender.send(
-                                        ChunkGenerated(
-                                            command_id=command_id,
-                                            chunk=TokenChunk(
-                                                idx=response.token,
-                                                model=shard_metadata.model_meta.model_id,
-                                                text=response.text,
-                                                token_id=response.token,
-                                                finish_reason=response.finish_reason,
-                                                stats=response.stats,
-                                            ),
+                        for response in mlx_generator:
+                            match response:
+                                case GenerationResponse():
+                                    if shard_metadata.device_rank == 0:
+                                        event_sender.send(
+                                            ChunkGenerated(
+                                                command_id=command_id,
+                                                chunk=TokenChunk(
+                                                    idx=response.token,
+                                                    model=shard_metadata.model_meta.model_id,
+                                                    text=response.text,
+                                                    token_id=response.token,
+                                                    finish_reason=response.finish_reason,
+                                                    stats=response.stats,
+                                                ),
+                                            )
                                        )
-                                    )
-                                # case TokenizedResponse():
-                                # TODO: something here ig

                    current_status = RunnerReady()
                    logger.info("runner ready")
--- a/src/exo/worker/tests/unittests/test_runner/test_error_handling.py
+++ b/src/exo/worker/tests/unittests/test_runner/test_error_handling.py
@@ -0,0 +1,50 @@
+# pyright: reportAny=false
+from unittest.mock import MagicMock
+
+from exo.shared.types.chunks import TokenChunk
+from exo.shared.types.common import CommandId
+from exo.shared.types.events import ChunkGenerated
+from exo.worker.runner.runner import send_error_chunk_on_exception
+from exo.worker.tests.constants import MODEL_A_ID
+
+
+def test_send_error_chunk_on_exception_no_error() -> None:
+    event_sender = MagicMock()
+    command_id = CommandId()
+
+    with send_error_chunk_on_exception(
+        event_sender, command_id, MODEL_A_ID, device_rank=0
+    ):
+        _ = 1 + 1
+
+    event_sender.send.assert_not_called()
+
+
+def test_send_error_chunk_on_exception_catches_error() -> None:
+    event_sender = MagicMock()
+    command_id = CommandId()
+
+    with send_error_chunk_on_exception(
+        event_sender, command_id, MODEL_A_ID, device_rank=0
+    ):
+        raise ValueError("test error")
+
+    event_sender.send.assert_called_once()
+    call_args = event_sender.send.call_args[0][0]
+    assert isinstance(call_args, ChunkGenerated)
+    assert call_args.command_id == command_id
+    assert isinstance(call_args.chunk, TokenChunk)
+    assert call_args.chunk.finish_reason == "error"
+    assert call_args.chunk.error_message == "test error"
+
+
+def test_send_error_chunk_on_exception_skips_non_rank_zero() -> None:
+    event_sender = MagicMock()
+    command_id = CommandId()
+
+    with send_error_chunk_on_exception(
+        event_sender, command_id, MODEL_A_ID, device_rank=1
+    ):
+        raise ValueError("test error")
+
+    event_sender.send.assert_not_called()
--- a/src/exo/worker/utils/net_profile.py
+++ b/src/exo/worker/utils/net_profile.py
@@ -22,7 +22,6 @@ async def check_reachability(
    url = f"http://{target_ip}:52415/node_id"

    remote_node_id = None
-
    last_error = None

    for _ in range(REACHABILITY_ATTEMPTS):
@@ -40,24 +39,24 @@ async def check_reachability(
            remote_node_id = NodeId(body)
            break

+        # expected failure cases
        except (
-            httpx.ConnectError,
-            httpx.ConnectTimeout,
-            httpx.ReadTimeout,
-            httpx.RemoteProtocolError,
-        ) as e:
+            httpx.TimeoutException,
+            httpx.NetworkError,
+        ):
+            await anyio.sleep(1)
+
+        # other failures should be logged on last attempt
+        except httpx.HTTPError as e:
            last_error = e
            await anyio.sleep(1)

-    else:
-        if last_error is not None:
-            logger.warning(
-                f"connect error {type(last_error).__name__} from {target_ip} after {REACHABILITY_ATTEMPTS} attempts; treating as down"
-            )
-        else:
-            logger.warning(
-                f"malformed response from {target_ip} after {REACHABILITY_ATTEMPTS} attempts; treating as down"
-            )
+    if last_error is not None:
+        logger.warning(
+            f"connect error {type(last_error).__name__} from {target_ip} after {REACHABILITY_ATTEMPTS} attempts; treating as down"
+        )
+
+    if remote_node_id is None:
        return

    if remote_node_id != expected_node_id:
--- a/uv.lock
+++ b/uv.lock
@@ -28,6 +28,89 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/bc/8a/340a1555ae33d7354dbca4faa54948d76d89a27ceef032c8c3bc661d003e/aiofiles-25.1.0-py3-none-any.whl", hash = "sha256:abe311e527c862958650f9438e859c1fa7568a141b22abcd015e120e86a85695", size = 14668, upload-time = "2025-10-09T20:51:03.174Z" },
 ]

+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.13.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aiohappyeyeballs", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
+    { name = "aiosignal", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
+    { name = "attrs", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
+    { name = "frozenlist", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
+    { name = "multidict", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
+    { name = "propcache", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
+    { name = "yarl", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/50/42/32cf8e7704ceb4481406eb87161349abb46a57fee3f008ba9cb610968646/aiohttp-3.13.3.tar.gz", hash = "sha256:a949eee43d3782f2daae4f4a2819b2cb9b0c5d3b7f7a927067cc84dafdbb9f88", size = 7844556, upload-time = "2026-01-03T17:33:05.204Z" }
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 source = { editable = "." }
 dependencies = [
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Author	SHA1	Message	Date
rltakashige	5c8a237940	Handle model timeouts (#1177 ) - Add eval with a timeout. - Add fast synch flag ## Motivation Because of the experimental FAST SYNCH flag, some models may not work. This PR catches when this occurs and allows users to specify a run without fast synch ## Changes - Adds a flag to enable or disable fast synch (--fast-synch and --no-fast-synch) - Adds a heuristic timeout - Reduces exo_bench default timeout to 10 minutes. ## Why It Works Heuristic timeout assumes normal loading times on Mac devices (60 + model size in gb / 5: e.g. DeepSeek takes up to 120 seconds to load on tensor parallel, and timeout is set to 60 + 120 = 180s. We could raise this value if necessary. ## Test Plan ### Manual Testing Catches that GPT OSS fails to load in Tensor RDMA Can launch with --no-fast-synch flag to launch GPT OSS. GPT OSS 20B TP with fast synch <img width="3064" height="456" alt="image" src="https://github.com/user-attachments/assets/f6e25cd8-8621-4e99-99fe-292ee05c4035" /> TP without fast synch <img width="3098" height="496" alt="image" src="https://github.com/user-attachments/assets/d36453d9-6686-4cfe-aa7c-a7d458369d4d" /> [Note: the performance is really not great as fast synch is off] (As a sanity check) PP with fast synch <img width="3124" height="496" alt="image" src="https://github.com/user-attachments/assets/e97d4547-c6fa-483d-badb-4b371b900b4c" /> PP without fast synch <img width="3078" height="508" alt="image" src="https://github.com/user-attachments/assets/b2e20dfd-4b0e-4295-8a92-417dfe745c28" /> PP without RDMA <img width="3070" height="498" alt="image" src="https://github.com/user-attachments/assets/a8509d68-0aef-4cda-bca5-a67d39a0801e" /> TP without RDMA <img width="3068" height="496" alt="image" src="https://github.com/user-attachments/assets/b5691429-89f4-4369-bcf2-8fde2ad7154a" />	2026-01-16 20:25:12 +00:00
rltakashige	745343c705	Return error responses for Chat Completions (#1173 ) - Error chunks - Use error handling in exo_bench.py ## Motivation Return when an error occurs so that generation stops. Adding timeouts is a separate TODO for model loading and chat completions. ## Changes - Return HTTP exceptions as JSON responses in an OpenAI compatible format. - Context manager for generation to catch and return error messages. - Use error handling in exo_bench.py. ## Test Plan ### Manual Testing Manually tested that exo_bench returns on failures within and outside generation ### Automated Testing <!-- Describe changes to automated tests, or how existing tests cover this change --> <!-- - -->	2026-01-16 19:24:37 +00:00
Alex Cheema	5e28664c41	Fix draft release detection (attempt 3) (#1176 ) ## Motivation Previous fix still failed in CI. Suspecting permissions issue with GITHUB_TOKEN not being able to see draft releases via API. ## Changes 1. Add explicit `permissions: contents: write` to the job 2. Use `gh release list` first to check if draft exists (this uses a different code path that might work better) 3. Add debug echo statements ## Test Plan Delete v1.0.63 tag and re-push after merging. Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>	2026-01-16 17:26:06 +00:00
Alex Cheema	ae0a804ccb	Fix draft release detection query (#1175 ) ## Motivation Fixes the draft release detection that failed on the v1.0.63 release attempt. ## Changes The jq query was piped to `head -1` which truncated multi-line JSON output to just `{`, causing the empty check to fail. Changed to use `first // empty` in jq instead. ## Test Plan Tested locally: ```bash GITHUB_REF_NAME="v1.0.63" gh api repos/exo-explore/exo/releases --jq "[.[] \| select(.draft == true) \| select(.name == \"$GITHUB_REF_NAME\")] \| first // empty" # Returns the full draft release JSON (2711 chars) ``` Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>	2026-01-16 17:05:24 +00:00
Alex Cheema	07cf2c1aa1	Add GitHub releases with Sparkle release notes integration (#1172 ) ## Motivation Closes #1140 Currently releases are uploaded to S3 for Sparkle updates but there's no GitHub Release created, and Sparkle update dialogs don't show release notes. Users have no visibility into what changed. ## Changes - Added release workflow documentation comment at top of `build-app.yml` - Added "Fetch release notes for Sparkle" step that converts markdown from draft GitHub release to HTML - Added "Inject release notes into appcast" step that embeds HTML in appcast.xml with CDATA - Added "Publish GitHub Release" step that attaches DMG and publishes the draft ## Why It Works - Sparkle's `<description>` tag supports HTML wrapped in CDATA for rendering in update dialogs - GitHub's markdown API (`/markdown`) converts the release notes to HTML with proper formatting - Draft releases allow writing polished notes before the build, then the workflow publishes them automatically - The workflow fails if no draft release exists, ensuring release notes are always provided ## Test Plan ### Manual Testing 1. Create a draft GitHub release for a new tag with markdown release notes 2. Push the tag to trigger the workflow 3. Verify the GitHub release is published with DMG attached 4. Download appcast.xml from S3 and verify `<description><![CDATA[...]]></description>` contains HTML 5. Test Sparkle update dialog on macOS to confirm release notes appear ### Automated Testing No automated tests added - this is CI workflow configuration. Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>	2026-01-16 16:47:33 +00:00
Evan	83c5285a80	reduce logs previous commits logs were too verbose, this tones them down a bit	2026-01-16 14:05:47 +00:00