feat: local llm support + standalone-script doc/draft (#856)

* feat: local LLM via Ollama + structured output response_format - Add setup script (scripts/setup-local-llm.sh) for one-command Ollama setup Mac: native Metal GPU, Linux: containerized via docker-compose profiles - Add ollama-gpu and ollama-cpu docker-compose profiles for Linux - Add extra_hosts to server/hatchet-worker-llm for host.docker.internal - Pass response_format JSON schema in StructuredOutputWorkflow.extract() enabling grammar-based constrained decoding on Ollama/llama.cpp/vLLM/OpenAI - Update .env.example with Ollama as default LLM option - Add Ollama PRD and local dev setup docs * refactor: move Ollama services to docker-compose.standalone.yml Ollama profiles (ollama-gpu, ollama-cpu) are only for Linux standalone deployment. Mac devs never use them. Separate file keeps the main compose clean and provides a natural home for future standalone services (MinIO, etc.). Linux: docker compose -f docker-compose.yml -f docker-compose.standalone.yml --profile ollama-gpu up -d Mac: docker compose up -d (native Ollama, no standalone file needed) * fix: correct PRD goal (demo/eval, not dev replacement) and processor naming * chore: remove completed PRD, rename setup doc, drop response_format tests - Remove docs/01_ollama.prd.md (implementation complete) - Rename local-dev-setup.md -> standalone-local-setup.md - Remove TestResponseFormat class from test_llm_retry.py * docs: resolve standalone storage step — skip S3 for live-only mode * docs: add TASKS.md for standalone env defaults + setup script work * feat: add unified setup-local-dev.sh for standalone deployment Single script takes fresh clone to working Reflector: Ollama/LLM setup, env file generation (server/.env + www/.env.local), docker compose up, health checks. No Hatchet in standalone — live pipeline is pure Celery. * chore: rename to setup-standalone, remove redundant setup-local-llm.sh * feat: add custom S3 endpoint support + Garage standalone storage Add TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL setting to enable S3-compatible backends (Garage, MinIO). When set, uses path-style addressing and routes all requests to the custom endpoint. When unset, AWS behavior is unchanged. - AwsStorage: accept aws_endpoint_url, pass to all 6 session.client() calls, configure path-style addressing and base_url - Fix 4 direct AwsStorage constructions in Hatchet workflows to pass endpoint_url (would have silently targeted wrong endpoint) - Standalone: add Garage service to docker-compose.standalone.yml, setup script initializes layout/bucket/key and writes credentials - Fix compose_cmd() bug: Mac path was missing standalone yml - garage.toml template with runtime secret generation via openssl * fix: standalone setup — garage config, symlink handling, healthcheck - garage.toml: fix rpc_secret field name (was secret_transmitter), move to top-level per Garage v1.1.0 spec, remove unused [s3_web] - setup-standalone.sh: resolve symlinked .env files before writing, always ensure all standalone-critical vars via env_set, fix garage key create/info syntax (positional arg, not --name), avoid overwriting key secret with "(redacted)" on re-run, use compose_cmd in health check - docker-compose.standalone.yml: fix garage healthcheck (no curl in image, use /garage stats instead) * docs: update standalone md — symlink handling, garage config template * docs: add troubleshooting section + port conflict check in setup script Port conflicts from stale next dev / other worktree processes silently shadow Docker container port mappings, causing env vars to appear ignored. * fix: invalidate transcript query on STATUS websocket event Without this, the processing page never redirects after completion because the redirect logic watches the REST query data, not the WebSocket status state. Cherry-picked from feat-dag-progress (faec509a). * fix: local env setup (#855) * Ensure rate limit * Increase nextjs compilation speed * Fix daily no content handling * Simplify daily webhook creation * Fix webhook request validation * feat: add local pyannote file diarization processor (#858) * feat: add local pyannote file diarization processor Enables file diarization without Modal by using pyannote.audio locally. Downloads model bundle from S3 on first use, caches locally, patches config to use local paths. Set DIARIZATION_BACKEND=pyannote to enable. * fix: standalone setup enables pyannote diarization and public mode Replace DIARIZATION_ENABLED=false with DIARIZATION_BACKEND=pyannote so file uploads get speaker diarization out of the box. Add PUBLIC_MODE=true so unauthenticated users can list/browse transcripts. * fix: touch env files before first compose_cmd in standalone setup docker-compose.yml references www/.env.local as env_file, but the setup script only creates it in step 4. compose_cmd calls in step 3 (Garage) fail on a fresh clone when the file doesn't exist yet. * feat: standalone uses self-hosted GPU service for transcription+diarization Replace in-process pyannote approach with self-hosted gpu/self_hosted/ service. Same HTTP API as Modal — just TRANSCRIPT_URL/DIARIZATION_URL point to local container. - Add gpu/self_hosted/Dockerfile.cpu (GPU Dockerfile minus NVIDIA CUDA) - Add S3 model bundle fallback in diarizer.py when HF_TOKEN not set - Add gpu service to docker-compose.standalone.yml with compose env overrides - Fix /browse empty in PUBLIC_MODE (search+list queries filtered out roomless transcripts) - Remove audio_diarization_pyannote.py, file_diarization_pyannote.py and tests - Remove pyannote-audio from server local deps * fix: allow unauthenticated GPU requests when no API key configured OAuth2PasswordBearer with auto_error=True rejects requests without Authorization header before apikey_auth can check if auth is needed. * fix: rename standalone gpu service to cpu to match Dockerfile.cpu usage * docs: add programmatic testing section and fix gpu->cpu naming in setup script/docs - Add "Testing programmatically" section to standalone docs with curl commands for creating transcript, uploading audio, polling status, checking result - Fix setup-standalone.sh to reference `cpu` service (was still `gpu` after rename) - Update all docs references from gpu to cpu service naming --------- Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com> * Fix websocket disconnect errors * Fix event loop is closed in Celery workers * Allow reprocessing idle multitrack transcripts * feat: add local pyannote file diarization processor Enables file diarization without Modal by using pyannote.audio locally. Downloads model bundle from S3 on first use, caches locally, patches config to use local paths. Set DIARIZATION_BACKEND=pyannote to enable. * feat: standalone uses self-hosted GPU service for transcription+diarization Replace in-process pyannote approach with self-hosted gpu/self_hosted/ service. Same HTTP API as Modal — just TRANSCRIPT_URL/DIARIZATION_URL point to local container. - Add gpu/self_hosted/Dockerfile.cpu (GPU Dockerfile minus NVIDIA CUDA) - Add S3 model bundle fallback in diarizer.py when HF_TOKEN not set - Add gpu service to docker-compose.standalone.yml with compose env overrides - Fix /browse empty in PUBLIC_MODE (search+list queries filtered out roomless transcripts) - Remove audio_diarization_pyannote.py, file_diarization_pyannote.py and tests - Remove pyannote-audio from server local deps * fix: set source_kind to FILE on audio file upload The upload endpoint left source_kind as the default LIVE even when a file was uploaded. Now sets it to FILE when the upload completes. * Add hatchet env vars * fix: improve port conflict detection and ollama model check in standalone setup - Filter OrbStack/Docker Desktop PIDs from port conflict check (false positives on Mac) - Check all infra ports (5432, 6379, 3900, 3903) not just app ports - Fix ollama model detection to match on name column only - Document OrbStack and cross-project port conflicts in troubleshooting * fix: processing page auto-redirect after file upload completes Three fixes for the processing page not redirecting when status becomes "ended": - Add useWebSockets to processing page so it receives STATUS events - Remove OAuth2PasswordBearer from auth_none — broke WebSocket endpoints (500) - Reconnect stale Redis in ws_manager when Celery worker reuses dead event loop * fix: mock Celery broker in idle transcript validation test test_validation_idle_transcript_with_recording_allowed called validate_transcript_for_processing without mocking task_is_scheduled_or_active, which attempts a real Celery broker connection (AMQP port 5672). Other tests in the same file already mock this — apply the same pattern here. * Enable server host mode * Fix webrtc connection * Remove turbopack * fix: standalone GPU service connectivity with host network mode Server runs with network_mode: host and can't resolve Docker service names. Publish cpu port as 8100 on host, point server at localhost:8100. Worker stays on bridge network using cpu:8000. Add dummy TRANSCRIPT_MODAL_API_KEY since OpenAI SDK requires it even for local endpoints. --------- Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com> Co-authored-by: Sergey Mankovsky <sergey@mankovsky.dev>
2026-03-21 22:56:47 +00:00 · 2026-02-11 18:20:36 -05:00
parent cd2255cfbc
commit b468427f1b
38 changed files with 1213 additions and 892 deletions
--- a/server/.env.example
+++ b/server/.env.example
@@ -66,15 +66,22 @@ TRANSLATE_URL=https://monadical-sas--reflector-translator-web.modal.run
 ## LLM backend (Required)
 ##
 ## Responsible for generating titles, summaries, and topic detection
-## Requires OpenAI API key
+## Supports any OpenAI-compatible endpoint.
 ## =======================================================

-## OpenAI API key - get from https://platform.openai.com/account/api-keys
-LLM_API_KEY=sk-your-openai-api-key
-LLM_MODEL=gpt-4o-mini
+## --- Option A: Local LLM via Ollama (recommended for dev) ---
+## Setup: ./scripts/setup-standalone.sh
+## Mac: Ollama runs natively (Metal GPU). Containers reach it via host.docker.internal.
+## Linux: docker compose --profile ollama-gpu up -d (or ollama-cpu for no GPU)
+LLM_URL=http://host.docker.internal:11434/v1
+LLM_MODEL=qwen2.5:14b
+LLM_API_KEY=not-needed
+## Linux with containerized Ollama: LLM_URL=http://ollama:11434/v1

-## Optional: Custom endpoint (defaults to OpenAI)
-# LLM_URL=https://api.openai.com/v1
+## --- Option B: Remote/cloud LLM ---
+#LLM_API_KEY=sk-your-openai-api-key
+#LLM_MODEL=gpt-4o-mini
+## LLM_URL defaults to OpenAI when unset

 ## Context size for summary generation (tokens)
 LLM_CONTEXT_WINDOW=16000
--- a/server/pyproject.toml
+++ b/server/pyproject.toml
@@ -68,7 +68,6 @@ evaluation = [
    "pydantic>=2.1.1",
 ]
 local = [
-    "pyannote-audio>=3.3.2",
    "faster-whisper>=0.10.0",
 ]
 silero-vad = [
--- a/server/reflector/asynctask.py
+++ b/server/reflector/asynctask.py
@@ -22,6 +22,8 @@ def asynctask(f):
                await database.disconnect()

        coro = run_with_db()
+        if current_task:
+            return asyncio.run(coro)
        try:
            loop = asyncio.get_running_loop()
        except RuntimeError:
--- a/server/reflector/auth/auth_none.py
+++ b/server/reflector/auth/auth_none.py
@@ -1,11 +1,5 @@
-from typing import Annotated
-
-from fastapi import Depends
-from fastapi.security import OAuth2PasswordBearer
 from pydantic import BaseModel

-oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token", auto_error=False)
-

 class UserInfo(BaseModel):
    sub: str
@@ -15,13 +9,13 @@ class AccessTokenInfo(BaseModel):
    pass


-def authenticated(token: Annotated[str, Depends(oauth2_scheme)]):
+def authenticated():
    return None


-def current_user(token: Annotated[str, Depends(oauth2_scheme)]):
+def current_user():
    return None


-def current_user_optional(token: Annotated[str, Depends(oauth2_scheme)]):
+def current_user_optional():
    return None
--- a/server/reflector/dailyco_api/client.py
+++ b/server/reflector/dailyco_api/client.py
@@ -146,6 +146,8 @@ class DailyApiClient:
            )
            raise DailyApiError(operation, response)

+        if not response.content:
+            return {}
        return response.json()

    # ============================================================================
--- a/server/reflector/dailyco_api/webhook_utils.py
+++ b/server/reflector/dailyco_api/webhook_utils.py
@@ -99,7 +99,7 @@ def extract_room_name(event: DailyWebhookEvent) -> str | None:
        >>> event = DailyWebhookEvent(**webhook_payload)
        >>> room_name = extract_room_name(event)
    """
-    room = event.payload.get("room_name")
+    room = event.payload.get("room_name") or event.payload.get("room")
    # Ensure we return a string, not any falsy value that might be in payload
    return room if isinstance(room, str) else None

--- a/server/reflector/dailyco_api/webhooks.py
+++ b/server/reflector/dailyco_api/webhooks.py
@@ -6,7 +6,7 @@ Reference: https://docs.daily.co/reference/rest-api/webhooks

 from typing import Annotated, Any, Dict, Literal, Union

-from pydantic import BaseModel, Field, field_validator
+from pydantic import AliasChoices, BaseModel, ConfigDict, Field, field_validator

 from reflector.utils.string import NonEmptyString

@@ -41,6 +41,8 @@ class DailyTrack(BaseModel):
    Reference: https://docs.daily.co/reference/rest-api/recordings
    """

+    model_config = ConfigDict(extra="ignore")
+
    type: Literal["audio", "video"]
    s3Key: NonEmptyString = Field(description="S3 object key for the track file")
    size: int = Field(description="File size in bytes")
@@ -54,6 +56,8 @@ class DailyWebhookEvent(BaseModel):
    Reference: https://docs.daily.co/reference/rest-api/webhooks
    """

+    model_config = ConfigDict(extra="ignore")
+
    version: NonEmptyString = Field(
        description="Represents the version of the event. This uses semantic versioning to inform a consumer if the payload has introduced any breaking changes"
    )
@@ -82,7 +86,13 @@ class ParticipantJoinedPayload(BaseModel):
    Reference: https://docs.daily.co/reference/rest-api/webhooks/events/participant-joined
    """

-    room_name: NonEmptyString | None = Field(None, description="Daily.co room name")
+    model_config = ConfigDict(extra="ignore")
+
+    room_name: NonEmptyString | None = Field(
+        None,
+        description="Daily.co room name",
+        validation_alias=AliasChoices("room_name", "room"),
+    )
    session_id: NonEmptyString = Field(description="Daily.co session identifier")
    user_id: NonEmptyString = Field(description="User identifier (may be encoded)")
    user_name: NonEmptyString | None = Field(None, description="User display name")
@@ -100,7 +110,13 @@ class ParticipantLeftPayload(BaseModel):
    Reference: https://docs.daily.co/reference/rest-api/webhooks/events/participant-left
    """

-    room_name: NonEmptyString | None = Field(None, description="Daily.co room name")
+    model_config = ConfigDict(extra="ignore")
+
+    room_name: NonEmptyString | None = Field(
+        None,
+        description="Daily.co room name",
+        validation_alias=AliasChoices("room_name", "room"),
+    )
    session_id: NonEmptyString = Field(description="Daily.co session identifier")
    user_id: NonEmptyString = Field(description="User identifier (may be encoded)")
    user_name: NonEmptyString | None = Field(None, description="User display name")
@@ -112,6 +128,9 @@ class ParticipantLeftPayload(BaseModel):
    _normalize_joined_at = field_validator("joined_at", mode="before")(
        normalize_timestamp_to_int
    )
+    _normalize_duration = field_validator("duration", mode="before")(
+        normalize_timestamp_to_int
+    )


 class RecordingStartedPayload(BaseModel):
@@ -121,6 +140,8 @@ class RecordingStartedPayload(BaseModel):
    Reference: https://docs.daily.co/reference/rest-api/webhooks/events/recording-started
    """

+    model_config = ConfigDict(extra="ignore")
+
    room_name: NonEmptyString | None = Field(None, description="Daily.co room name")
    recording_id: NonEmptyString = Field(description="Recording identifier")
    start_ts: int | None = Field(None, description="Recording start timestamp")
@@ -138,7 +159,9 @@ class RecordingReadyToDownloadPayload(BaseModel):
    Reference: https://docs.daily.co/reference/rest-api/webhooks/events/recording-ready-to-download
    """

-    type: Literal["cloud", "raw-tracks"] = Field(
+    model_config = ConfigDict(extra="ignore")
+
+    type: Literal["cloud", "cloud-audio-only", "raw-tracks"] = Field(
        description="The type of recording that was generated"
    )
    recording_id: NonEmptyString = Field(
@@ -153,8 +176,9 @@ class RecordingReadyToDownloadPayload(BaseModel):
    status: Literal["finished"] = Field(
        description="The status of the given recording (always 'finished' in ready-to-download webhook, see RecordingStatus in responses.py for full API statuses)"
    )
-    max_participants: int = Field(
-        description="The number of participants on the call that were recorded"
+    max_participants: int | None = Field(
+        None,
+        description="The number of participants on the call that were recorded (optional; Daily may omit it in some webhook versions)",
    )
    duration: int = Field(description="The duration in seconds of the call")
    s3_key: NonEmptyString = Field(
@@ -180,6 +204,8 @@ class RecordingErrorPayload(BaseModel):
    Reference: https://docs.daily.co/reference/rest-api/webhooks/events/recording-error
    """

+    model_config = ConfigDict(extra="ignore")
+
    action: Literal["clourd-recording-err", "cloud-recording-error"] = Field(
        description="A string describing the event that was emitted (both variants are documented)"
    )
@@ -200,6 +226,8 @@ class RecordingErrorPayload(BaseModel):


 class ParticipantJoinedEvent(BaseModel):
+    model_config = ConfigDict(extra="ignore")
+
    version: NonEmptyString
    type: Literal["participant.joined"]
    id: NonEmptyString
@@ -212,6 +240,8 @@ class ParticipantJoinedEvent(BaseModel):


 class ParticipantLeftEvent(BaseModel):
+    model_config = ConfigDict(extra="ignore")
+
    version: NonEmptyString
    type: Literal["participant.left"]
    id: NonEmptyString
@@ -224,6 +254,8 @@ class ParticipantLeftEvent(BaseModel):


 class RecordingStartedEvent(BaseModel):
+    model_config = ConfigDict(extra="ignore")
+
    version: NonEmptyString
    type: Literal["recording.started"]
    id: NonEmptyString
@@ -236,6 +268,8 @@ class RecordingStartedEvent(BaseModel):


 class RecordingReadyEvent(BaseModel):
+    model_config = ConfigDict(extra="ignore")
+
    version: NonEmptyString
    type: Literal["recording.ready-to-download"]
    id: NonEmptyString
@@ -248,6 +282,8 @@ class RecordingReadyEvent(BaseModel):


 class RecordingErrorEvent(BaseModel):
+    model_config = ConfigDict(extra="ignore")
+
    version: NonEmptyString
    type: Literal["recording.error"]
    id: NonEmptyString
--- a/server/reflector/db/search.py
+++ b/server/reflector/db/search.py
@@ -26,6 +26,7 @@ from reflector.db.rooms import rooms
 from reflector.db.transcripts import SourceKind, TranscriptStatus, transcripts
 from reflector.db.utils import is_postgresql
 from reflector.logger import logger
+from reflector.settings import settings
 from reflector.utils.string import NonEmptyString, try_parse_non_empty_string

 DEFAULT_SEARCH_LIMIT = 20
@@ -396,7 +397,7 @@ class SearchController:
                    transcripts.c.user_id == params.user_id, rooms.c.is_shared
                )
            )
-        else:
+        elif not settings.PUBLIC_MODE:
            base_query = base_query.where(rooms.c.is_shared)
        if params.room_id:
            base_query = base_query.where(transcripts.c.room_id == params.room_id)
--- a/server/reflector/db/transcripts.py
+++ b/server/reflector/db/transcripts.py
@@ -406,7 +406,7 @@ class TranscriptController:
            query = query.where(
                or_(transcripts.c.user_id == user_id, rooms.c.is_shared)
            )
-        else:
+        elif not settings.PUBLIC_MODE:
            query = query.where(rooms.c.is_shared)

        if source_kind:
--- a/server/reflector/hatchet/client.py
+++ b/server/reflector/hatchet/client.py
@@ -12,7 +12,9 @@ import threading

 from hatchet_sdk import ClientConfig, Hatchet
 from hatchet_sdk.clients.rest.models import V1TaskStatus
+from hatchet_sdk.rate_limit import RateLimitDuration

+from reflector.hatchet.constants import LLM_RATE_LIMIT_KEY, LLM_RATE_LIMIT_PER_SECOND
 from reflector.logger import logger
 from reflector.settings import settings

@@ -113,3 +115,26 @@ class HatchetClientManager:
        """Reset the client instance (for testing)."""
        with cls._lock:
            cls._instance = None
+
+    @classmethod
+    async def ensure_rate_limit(cls) -> None:
+        """Ensure the LLM rate limit exists in Hatchet.
+
+        Uses the Hatchet SDK rate_limits client (aio_put). See:
+        https://docs.hatchet.run/sdks/python/feature-clients/rate_limits
+        """
+        logger.info(
+            "[Hatchet] Ensuring rate limit exists",
+            rate_limit_key=LLM_RATE_LIMIT_KEY,
+            limit=LLM_RATE_LIMIT_PER_SECOND,
+        )
+        client = cls.get_client()
+        await client.rate_limits.aio_put(
+            key=LLM_RATE_LIMIT_KEY,
+            limit=LLM_RATE_LIMIT_PER_SECOND,
+            duration=RateLimitDuration.SECOND,
+        )
+        logger.info(
+            "[Hatchet] Rate limit put successfully",
+            rate_limit_key=LLM_RATE_LIMIT_KEY,
+        )
--- a/server/reflector/hatchet/run_workers_llm.py
+++ b/server/reflector/hatchet/run_workers_llm.py
@@ -3,6 +3,8 @@ LLM/I/O worker pool for all non-CPU tasks.
 Handles: all tasks except mixdown_tracks (transcription, LLM inference, orchestration)
 """

+import asyncio
+
 from reflector.hatchet.client import HatchetClientManager
 from reflector.hatchet.workflows.daily_multitrack_pipeline import (
    daily_multitrack_pipeline,
@@ -20,6 +22,15 @@ POOL = "llm-io"
 def main():
    hatchet = HatchetClientManager.get_client()

+    try:
+        asyncio.run(HatchetClientManager.ensure_rate_limit())
+    except Exception as e:
+        logger.warning(
+            "[Hatchet] Rate limit initialization failed, but continuing. "
+            "If workflows fail to register, rate limits may need to be created manually.",
+            error=str(e),
+        )
+
    logger.info(
        "Starting Hatchet LLM worker pool (all tasks except mixdown)",
        worker_name=WORKER_NAME,
--- a/server/reflector/hatchet/workflows/daily_multitrack_pipeline.py
+++ b/server/reflector/hatchet/workflows/daily_multitrack_pipeline.py
@@ -171,11 +171,13 @@ async def set_workflow_error_status(transcript_id: NonEmptyString) -> bool:

 def _spawn_storage():
    """Create fresh storage instance."""
+    # TODO: replace direct AwsStorage construction with get_transcripts_storage() factory
    return AwsStorage(
        aws_bucket_name=settings.TRANSCRIPT_STORAGE_AWS_BUCKET_NAME,
        aws_region=settings.TRANSCRIPT_STORAGE_AWS_REGION,
        aws_access_key_id=settings.TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID,
        aws_secret_access_key=settings.TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY,
+        aws_endpoint_url=settings.TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL,
    )


--- a/server/reflector/hatchet/workflows/padding_workflow.py
+++ b/server/reflector/hatchet/workflows/padding_workflow.py
@@ -49,11 +49,13 @@ async def pad_track(input: PaddingInput, ctx: Context) -> PadTrackResult:
        from reflector.settings import settings  # noqa: PLC0415
        from reflector.storage.storage_aws import AwsStorage  # noqa: PLC0415

+        # TODO: replace direct AwsStorage construction with get_transcripts_storage() factory
        storage = AwsStorage(
            aws_bucket_name=settings.TRANSCRIPT_STORAGE_AWS_BUCKET_NAME,
            aws_region=settings.TRANSCRIPT_STORAGE_AWS_REGION,
            aws_access_key_id=settings.TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID,
            aws_secret_access_key=settings.TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY,
+            aws_endpoint_url=settings.TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL,
        )

        source_url = await storage.get_file_url(
--- a/server/reflector/hatchet/workflows/track_processing.py
+++ b/server/reflector/hatchet/workflows/track_processing.py
@@ -60,6 +60,7 @@ async def pad_track(input: TrackInput, ctx: Context) -> PadTrackResult:

    try:
        # Create fresh storage instance to avoid aioboto3 fork issues
+        # TODO: replace direct AwsStorage construction with get_transcripts_storage() factory
        from reflector.settings import settings  # noqa: PLC0415
        from reflector.storage.storage_aws import AwsStorage  # noqa: PLC0415

@@ -68,6 +69,7 @@ async def pad_track(input: TrackInput, ctx: Context) -> PadTrackResult:
            aws_region=settings.TRANSCRIPT_STORAGE_AWS_REGION,
            aws_access_key_id=settings.TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID,
            aws_secret_access_key=settings.TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY,
+            aws_endpoint_url=settings.TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL,
        )

        source_url = await storage.get_file_url(
@@ -159,6 +161,7 @@ async def transcribe_track(input: TrackInput, ctx: Context) -> TranscribeTrackRe
            raise ValueError("Missing padded_key from pad_track")

        # Presign URL on demand (avoids stale URLs on workflow replay)
+        # TODO: replace direct AwsStorage construction with get_transcripts_storage() factory
        from reflector.settings import settings  # noqa: PLC0415
        from reflector.storage.storage_aws import AwsStorage  # noqa: PLC0415

@@ -167,6 +170,7 @@ async def transcribe_track(input: TrackInput, ctx: Context) -> TranscribeTrackRe
            aws_region=settings.TRANSCRIPT_STORAGE_AWS_REGION,
            aws_access_key_id=settings.TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID,
            aws_secret_access_key=settings.TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY,
+            aws_endpoint_url=settings.TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL,
        )

        audio_url = await storage.get_file_url(
--- a/server/reflector/llm.py
+++ b/server/reflector/llm.py
@@ -144,7 +144,18 @@ class StructuredOutputWorkflow(Workflow, Generic[OutputT]):
        )

        # Network retries handled by OpenAILike (max_retries=3)
-        response = await Settings.llm.acomplete(json_prompt)
+        # response_format enables grammar-based constrained decoding on backends
+        # that support it (DMR/llama.cpp, vLLM, Ollama, OpenAI).
+        response = await Settings.llm.acomplete(
+            json_prompt,
+            response_format={
+                "type": "json_schema",
+                "json_schema": {
+                    "name": self.output_cls.__name__,
+                    "schema": self.output_cls.model_json_schema(),
+                },
+            },
+        )
        return ExtractionDone(output=response.text)

    @step
--- a/server/reflector/processors/audio_diarization_pyannote.py
+++ b/server/reflector/processors/audio_diarization_pyannote.py
@@ -1,74 +0,0 @@
-import os
-
-import torch
-import torchaudio
-from pyannote.audio import Pipeline
-
-from reflector.processors.audio_diarization import AudioDiarizationProcessor
-from reflector.processors.audio_diarization_auto import AudioDiarizationAutoProcessor
-from reflector.processors.types import AudioDiarizationInput, DiarizationSegment
-
-
-class AudioDiarizationPyannoteProcessor(AudioDiarizationProcessor):
-    """Local diarization processor using pyannote.audio library"""
-
-    def __init__(
-        self,
-        model_name: str = "pyannote/speaker-diarization-3.1",
-        pyannote_auth_token: str | None = None,
-        device: str | None = None,
-        **kwargs,
-    ):
-        super().__init__(**kwargs)
-        self.model_name = model_name
-        self.auth_token = pyannote_auth_token or os.environ.get("HF_TOKEN")
-        self.device = device
-
-        if device is None:
-            self.device = "cuda" if torch.cuda.is_available() else "cpu"
-
-        self.logger.info(f"Loading pyannote diarization model: {self.model_name}")
-        self.diarization_pipeline = Pipeline.from_pretrained(
-            self.model_name, use_auth_token=self.auth_token
-        )
-        self.diarization_pipeline.to(torch.device(self.device))
-        self.logger.info(f"Diarization model loaded on device: {self.device}")
-
-    async def _diarize(self, data: AudioDiarizationInput) -> list[DiarizationSegment]:
-        try:
-            # Load audio file (audio_url is assumed to be a local file path)
-            self.logger.info(f"Loading local audio file: {data.audio_url}")
-            waveform, sample_rate = torchaudio.load(data.audio_url)
-            audio_input = {"waveform": waveform, "sample_rate": sample_rate}
-            self.logger.info("Running speaker diarization")
-            diarization = self.diarization_pipeline(audio_input)
-
-            # Convert pyannote diarization output to our format
-            segments = []
-            for segment, _, speaker in diarization.itertracks(yield_label=True):
-                # Extract speaker number from label (e.g., "SPEAKER_00" -> 0)
-                speaker_id = 0
-                if speaker.startswith("SPEAKER_"):
-                    try:
-                        speaker_id = int(speaker.split("_")[-1])
-                    except (ValueError, IndexError):
-                        # Fallback to hash-based ID if parsing fails
-                        speaker_id = hash(speaker) % 1000
-
-                segments.append(
-                    {
-                        "start": round(segment.start, 3),
-                        "end": round(segment.end, 3),
-                        "speaker": speaker_id,
-                    }
-                )
-
-            self.logger.info(f"Diarization completed with {len(segments)} segments")
-            return segments
-
-        except Exception as e:
-            self.logger.exception(f"Diarization failed: {e}")
-            raise
-
-
-AudioDiarizationAutoProcessor.register("pyannote", AudioDiarizationPyannoteProcessor)
--- a/server/reflector/services/transcript_process.py
+++ b/server/reflector/services/transcript_process.py
@@ -97,8 +97,11 @@ async def validate_transcript_for_processing(
    if transcript.locked:
        return ValidationLocked(detail="Recording is locked")

-    # Check if recording is ready for processing
-    if transcript.status == "idle" and not transcript.workflow_run_id:
+    if (
+        transcript.status == "idle"
+        and not transcript.workflow_run_id
+        and not transcript.recording_id
+    ):
        return ValidationNotReady(detail="Recording is not ready for processing")

    # Check Celery tasks
--- a/server/reflector/settings.py
+++ b/server/reflector/settings.py
@@ -49,6 +49,7 @@ class Settings(BaseSettings):
    TRANSCRIPT_STORAGE_AWS_REGION: str = "us-east-1"
    TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID: str | None = None
    TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY: str | None = None
+    TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL: str | None = None

    # Platform-specific recording storage (follows {PREFIX}_STORAGE_AWS_{CREDENTIAL} pattern)
    # Whereby storage configuration
@@ -84,9 +85,7 @@ class Settings(BaseSettings):
    )

    # Diarization
-    # backends:
-    #   - pyannote: in-process model loading (no HTTP, runs in same process)
-    #   - modal: HTTP API client (works with Modal.com OR self-hosted gpu/self_hosted/)
+    # backend: modal — HTTP API client (works with Modal.com OR self-hosted gpu/self_hosted/)
    DIARIZATION_ENABLED: bool = True
    DIARIZATION_BACKEND: str = "modal"
    DIARIZATION_URL: str | None = None
@@ -95,9 +94,6 @@ class Settings(BaseSettings):
    # Diarization: modal backend
    DIARIZATION_MODAL_API_KEY: str | None = None

-    # Diarization: local pyannote.audio
-    DIARIZATION_PYANNOTE_AUTH_TOKEN: str | None = None
-
    # Audio Padding (Modal.com backend)
    PADDING_URL: str | None = None
    PADDING_MODAL_API_KEY: str | None = None
--- a/server/reflector/storage/storage_aws.py
+++ b/server/reflector/storage/storage_aws.py
@@ -53,6 +53,7 @@ class AwsStorage(Storage):
        aws_access_key_id: str | None = None,
        aws_secret_access_key: str | None = None,
        aws_role_arn: str | None = None,
+        aws_endpoint_url: str | None = None,
    ):
        if not aws_bucket_name:
            raise ValueError("Storage `aws_storage` require `aws_bucket_name`")
@@ -73,17 +74,26 @@ class AwsStorage(Storage):
        self._access_key_id = aws_access_key_id
        self._secret_access_key = aws_secret_access_key
        self._role_arn = aws_role_arn
+        self._endpoint_url = aws_endpoint_url

        self.aws_folder = ""
        if "/" in aws_bucket_name:
            self._bucket_name, self.aws_folder = aws_bucket_name.split("/", 1)
-        self.boto_config = Config(retries={"max_attempts": 3, "mode": "adaptive"})
+
+        config_kwargs: dict = {"retries": {"max_attempts": 3, "mode": "adaptive"}}
+        if aws_endpoint_url:
+            config_kwargs["s3"] = {"addressing_style": "path"}
+        self.boto_config = Config(**config_kwargs)
+
        self.session = aioboto3.Session(
            aws_access_key_id=aws_access_key_id,
            aws_secret_access_key=aws_secret_access_key,
            region_name=aws_region,
        )
-        self.base_url = f"https://{self._bucket_name}.s3.amazonaws.com/"
+        if aws_endpoint_url:
+            self.base_url = f"{aws_endpoint_url}/{self._bucket_name}/"
+        else:
+            self.base_url = f"https://{self._bucket_name}.s3.amazonaws.com/"

    # Implement credential properties
    @property
@@ -139,7 +149,9 @@ class AwsStorage(Storage):
        s3filename = f"{folder}/{filename}" if folder else filename
        logger.info(f"Uploading {filename} to S3 {actual_bucket}/{folder}")

-        async with self.session.client("s3", config=self.boto_config) as client:
+        async with self.session.client(
+            "s3", config=self.boto_config, endpoint_url=self._endpoint_url
+        ) as client:
            if isinstance(data, bytes):
                await client.put_object(Bucket=actual_bucket, Key=s3filename, Body=data)
            else:
@@ -162,7 +174,9 @@ class AwsStorage(Storage):
        actual_bucket = bucket or self._bucket_name
        folder = self.aws_folder
        s3filename = f"{folder}/{filename}" if folder else filename
-        async with self.session.client("s3", config=self.boto_config) as client:
+        async with self.session.client(
+            "s3", config=self.boto_config, endpoint_url=self._endpoint_url
+        ) as client:
            presigned_url = await client.generate_presigned_url(
                operation,
                Params={"Bucket": actual_bucket, "Key": s3filename},
@@ -177,7 +191,9 @@ class AwsStorage(Storage):
        folder = self.aws_folder
        logger.info(f"Deleting {filename} from S3 {actual_bucket}/{folder}")
        s3filename = f"{folder}/{filename}" if folder else filename
-        async with self.session.client("s3", config=self.boto_config) as client:
+        async with self.session.client(
+            "s3", config=self.boto_config, endpoint_url=self._endpoint_url
+        ) as client:
            await client.delete_object(Bucket=actual_bucket, Key=s3filename)

    @handle_s3_client_errors("download")
@@ -186,7 +202,9 @@ class AwsStorage(Storage):
        folder = self.aws_folder
        logger.info(f"Downloading {filename} from S3 {actual_bucket}/{folder}")
        s3filename = f"{folder}/{filename}" if folder else filename
-        async with self.session.client("s3", config=self.boto_config) as client:
+        async with self.session.client(
+            "s3", config=self.boto_config, endpoint_url=self._endpoint_url
+        ) as client:
            response = await client.get_object(Bucket=actual_bucket, Key=s3filename)
            return await response["Body"].read()

@@ -201,7 +219,9 @@ class AwsStorage(Storage):
        logger.info(f"Listing objects from S3 {actual_bucket} with prefix '{s3prefix}'")

        keys = []
-        async with self.session.client("s3", config=self.boto_config) as client:
+        async with self.session.client(
+            "s3", config=self.boto_config, endpoint_url=self._endpoint_url
+        ) as client:
            paginator = client.get_paginator("list_objects_v2")
            async for page in paginator.paginate(Bucket=actual_bucket, Prefix=s3prefix):
                if "Contents" in page:
@@ -227,7 +247,9 @@ class AwsStorage(Storage):
        folder = self.aws_folder
        logger.info(f"Streaming {filename} from S3 {actual_bucket}/{folder}")
        s3filename = f"{folder}/{filename}" if folder else filename
-        async with self.session.client("s3", config=self.boto_config) as client:
+        async with self.session.client(
+            "s3", config=self.boto_config, endpoint_url=self._endpoint_url
+        ) as client:
            await client.download_fileobj(
                Bucket=actual_bucket, Key=s3filename, Fileobj=fileobj
            )
--- a/server/reflector/views/daily.py
+++ b/server/reflector/views/daily.py
@@ -80,7 +80,14 @@ async def webhook(request: Request):
    try:
        event = event_adapter.validate_python(body_json)
    except Exception as e:
-        logger.error("Failed to parse webhook event", error=str(e), body=body.decode())
+        err_detail = str(e)
+        if hasattr(e, "errors"):
+            err_detail = f"{err_detail}; errors={e.errors()!r}"
+        logger.error(
+            "Failed to parse webhook event",
+            error=err_detail,
+            body=body.decode(),
+        )
        raise HTTPException(status_code=422, detail="Invalid event format")

    match event:
--- a/server/reflector/views/transcripts_upload.py
+++ b/server/reflector/views/transcripts_upload.py
@@ -5,7 +5,7 @@ from fastapi import APIRouter, Depends, HTTPException, UploadFile
 from pydantic import BaseModel

 import reflector.auth as auth
-from reflector.db.transcripts import transcripts_controller
+from reflector.db.transcripts import SourceKind, transcripts_controller
 from reflector.pipelines.main_file_pipeline import task_pipeline_file_process

 router = APIRouter()
@@ -88,8 +88,10 @@ async def transcript_record_upload(
    finally:
        container.close()

-    # set the status to "uploaded"
-    await transcripts_controller.update(transcript, {"status": "uploaded"})
+    # set the status to "uploaded" and mark as file source
+    await transcripts_controller.update(
+        transcript, {"status": "uploaded", "source_kind": SourceKind.FILE}
+    )

    # launch a background task to process the file
    task_pipeline_file_process.delay(transcript_id=transcript_id)
--- a/server/reflector/views/user_websocket.py
+++ b/server/reflector/views/user_websocket.py
@@ -1,6 +1,6 @@
 from typing import Optional

-from fastapi import APIRouter, WebSocket
+from fastapi import APIRouter, WebSocket, WebSocketDisconnect

 from reflector.auth.auth_jwt import JWTAuth  # type: ignore
 from reflector.db.users import user_controller
@@ -60,6 +60,8 @@ async def user_events_websocket(websocket: WebSocket):
    try:
        while True:
            await websocket.receive()
+    except (RuntimeError, WebSocketDisconnect):
+        pass
    finally:
        if room_id:
            await ws_manager.remove_user_from_room(room_id, websocket)
--- a/server/reflector/ws_manager.py
+++ b/server/reflector/ws_manager.py
@@ -48,7 +48,15 @@ class RedisPubSubManager:
        if not self.redis_connection:
            await self.connect()
        message = json.dumps(message)
-        await self.redis_connection.publish(room_id, message)
+        try:
+            await self.redis_connection.publish(room_id, message)
+        except RuntimeError:
+            # Celery workers run each task in a new event loop (asyncio.run),
+            # which closes the previous loop. Cached Redis connection is dead.
+            # Reconnect on the current loop and retry.
+            self.redis_connection = None
+            await self.connect()
+            await self.redis_connection.publish(room_id, message)

    async def subscribe(self, room_id: str) -> redis.Redis:
        await self.pubsub.subscribe(room_id)
--- a/server/scripts/recreate_daily_webhook.py
+++ b/server/scripts/recreate_daily_webhook.py
@@ -15,8 +15,7 @@ from reflector.settings import settings

 async def setup_webhook(webhook_url: str):
    """
-    Create or update Daily.co webhook for this environment using dailyco_api module.
-    Uses DAILY_WEBHOOK_UUID to identify existing webhook.
+    Create Daily.co webhook. Deletes any existing webhooks first, then creates the new one.
    """
    if not settings.DAILY_API_KEY:
        print("Error: DAILY_API_KEY not set")
@@ -35,79 +34,37 @@ async def setup_webhook(webhook_url: str):
    ]

    async with DailyApiClient(api_key=settings.DAILY_API_KEY) as client:
-        webhook_uuid = settings.DAILY_WEBHOOK_UUID
+        webhooks = await client.list_webhooks()
+        for wh in webhooks:
+            await client.delete_webhook(wh.uuid)
+            print(f"Deleted webhook {wh.uuid}")

-        if webhook_uuid:
-            print(f"Updating existing webhook {webhook_uuid}...")
-            try:
-                # Note: Daily.co doesn't support PATCH well, so we delete + recreate
-                await client.delete_webhook(webhook_uuid)
-                print(f"Deleted old webhook {webhook_uuid}")
+        request = CreateWebhookRequest(
+            url=webhook_url,
+            eventTypes=event_types,
+            hmac=settings.DAILY_WEBHOOK_SECRET,
+        )
+        result = await client.create_webhook(request)
+        webhook_uuid = result.uuid

-                request = CreateWebhookRequest(
-                    url=webhook_url,
-                    eventTypes=event_types,
-                    hmac=settings.DAILY_WEBHOOK_SECRET,
-                )
-                result = await client.create_webhook(request)
+        print(f"✓ Created webhook {webhook_uuid} (state: {result.state})")
+        print(f"  URL: {result.url}")

-                print(
-                    f"✓ Created replacement webhook {result.uuid} (state: {result.state})"
-                )
-                print(f"  URL: {result.url}")
+        env_file = Path(__file__).parent.parent / ".env"
+        if env_file.exists():
+            lines = env_file.read_text().splitlines()
+            updated = False
+            for i, line in enumerate(lines):
+                if line.startswith("DAILY_WEBHOOK_UUID="):
+                    lines[i] = f"DAILY_WEBHOOK_UUID={webhook_uuid}"
+                    updated = True
+                    break
+            if not updated:
+                lines.append(f"DAILY_WEBHOOK_UUID={webhook_uuid}")
+            env_file.write_text("\n".join(lines) + "\n")
+            print("✓ Saved DAILY_WEBHOOK_UUID to .env")

-                webhook_uuid = result.uuid
-
-            except Exception as e:
-                if hasattr(e, "response") and e.response.status_code == 404:
-                    print(f"Webhook {webhook_uuid} not found, creating new one...")
-                    webhook_uuid = None  # Fall through to creation
-                else:
-                    print(f"Error updating webhook: {e}")
-                    return 1
-
-        if not webhook_uuid:
-            print("Creating new webhook...")
-            request = CreateWebhookRequest(
-                url=webhook_url,
-                eventTypes=event_types,
-                hmac=settings.DAILY_WEBHOOK_SECRET,
-            )
-            result = await client.create_webhook(request)
-            webhook_uuid = result.uuid
-
-            print(f"✓ Created webhook {webhook_uuid} (state: {result.state})")
-            print(f"  URL: {result.url}")
-            print()
-            print("=" * 60)
-            print("IMPORTANT: Add this to your environment variables:")
-            print("=" * 60)
-            print(f"DAILY_WEBHOOK_UUID: {webhook_uuid}")
-            print("=" * 60)
-            print()
-
-            # Try to write UUID to .env file
-            env_file = Path(__file__).parent.parent / ".env"
-            if env_file.exists():
-                lines = env_file.read_text().splitlines()
-                updated = False
-
-                # Update existing DAILY_WEBHOOK_UUID line or add it
-                for i, line in enumerate(lines):
-                    if line.startswith("DAILY_WEBHOOK_UUID="):
-                        lines[i] = f"DAILY_WEBHOOK_UUID={webhook_uuid}"
-                        updated = True
-                        break
-
-                if not updated:
-                    lines.append(f"DAILY_WEBHOOK_UUID={webhook_uuid}")
-
-                env_file.write_text("\n".join(lines) + "\n")
-                print(f"✓ Also saved to local .env file")
-            else:
-                print(f"⚠ Local .env file not found - please add manually")
-
-            return 0
+        return 0


 if __name__ == "__main__":
@@ -117,11 +74,7 @@ if __name__ == "__main__":
            "Example: python recreate_daily_webhook.py https://example.com/v1/daily/webhook"
        )
        print()
-        print("Behavior:")
-        print("  - If DAILY_WEBHOOK_UUID set: Deletes old webhook, creates new one")
-        print(
-            "  - If DAILY_WEBHOOK_UUID empty: Creates new webhook, saves UUID to .env"
-        )
+        print("Deletes all existing webhooks, then creates a new one.")
        sys.exit(1)

    sys.exit(asyncio.run(setup_webhook(sys.argv[1])))
--- a/server/tests/test_hatchet_dispatch.py
+++ b/server/tests/test_hatchet_dispatch.py
@@ -255,7 +255,7 @@ async def test_validation_locked_transcript():
@pytest.mark.usefixtures("setup_database")
@pytest.mark.asyncio
 async def test_validation_idle_transcript():
-    """Test that validation rejects idle transcripts (not ready)."""
+    """Test that validation rejects idle transcripts without recording (file upload not ready)."""
    from reflector.services.transcript_process import (
        ValidationNotReady,
        validate_transcript_for_processing,
@@ -274,6 +274,34 @@ async def test_validation_idle_transcript():
    assert "not ready" in result.detail.lower()


+@pytest.mark.usefixtures("setup_database")
+@pytest.mark.asyncio
+async def test_validation_idle_transcript_with_recording_allowed():
+    """Test that validation allows idle transcripts with recording_id (multitrack ready/retry)."""
+    from reflector.services.transcript_process import (
+        ValidationOk,
+        validate_transcript_for_processing,
+    )
+
+    mock_transcript = Transcript(
+        id="test-transcript-id",
+        name="Test",
+        status="idle",
+        source_kind="room",
+        recording_id="test-recording-id",
+    )
+
+    with patch(
+        "reflector.services.transcript_process.task_is_scheduled_or_active"
+    ) as mock_celery_check:
+        mock_celery_check.return_value = False
+
+        result = await validate_transcript_for_processing(mock_transcript)
+
+    assert isinstance(result, ValidationOk)
+    assert result.recording_id == "test-recording-id"
+
+
@pytest.mark.usefixtures("setup_database")
@pytest.mark.asyncio
 async def test_prepare_multitrack_config():
--- a/server/tests/test_storage.py
+++ b/server/tests/test_storage.py
@@ -319,3 +319,51 @@ def test_aws_storage_constructor_rejects_mixed_auth():
            aws_secret_access_key="test-secret",
            aws_role_arn="arn:aws:iam::123456789012:role/test-role",
        )
+
+
+@pytest.mark.asyncio
+async def test_aws_storage_custom_endpoint_url():
+    """Test that custom endpoint_url configures path-style addressing and passes endpoint to client."""
+    storage = AwsStorage(
+        aws_bucket_name="reflector-media",
+        aws_region="garage",
+        aws_access_key_id="GKtest",
+        aws_secret_access_key="secret",
+        aws_endpoint_url="http://garage:3900",
+    )
+    assert storage._endpoint_url == "http://garage:3900"
+    assert storage.boto_config.s3["addressing_style"] == "path"
+    assert storage.base_url == "http://garage:3900/reflector-media/"
+    # retries config preserved (merge, not replace)
+    assert storage.boto_config.retries["max_attempts"] == 3
+
+    mock_client = AsyncMock()
+    mock_client.put_object = AsyncMock()
+    mock_client.__aenter__ = AsyncMock(return_value=mock_client)
+    mock_client.__aexit__ = AsyncMock(return_value=None)
+    mock_client.generate_presigned_url = AsyncMock(
+        return_value="http://garage:3900/reflector-media/test.txt"
+    )
+
+    with patch.object(
+        storage.session, "client", return_value=mock_client
+    ) as mock_session_client:
+        await storage.put_file("test.txt", b"data")
+        mock_session_client.assert_called_with(
+            "s3", config=storage.boto_config, endpoint_url="http://garage:3900"
+        )
+
+
+@pytest.mark.asyncio
+async def test_aws_storage_none_endpoint_url():
+    """Test that None endpoint preserves current AWS behavior."""
+    storage = AwsStorage(
+        aws_bucket_name="reflector-bucket",
+        aws_region="us-east-1",
+        aws_access_key_id="AKIAtest",
+        aws_secret_access_key="secret",
+    )
+    assert storage._endpoint_url is None
+    assert storage.base_url == "https://reflector-bucket.s3.amazonaws.com/"
+    # No s3 addressing_style override — boto_config should only have retries
+    assert not hasattr(storage.boto_config, "s3") or storage.boto_config.s3 is None
--- a/server/uv.lock
+++ b/server/uv.lock
@@ -235,12 +235,6 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643 },
 ]

-[[package]]
-name = "antlr4-python3-runtime"
-version = "4.9.3"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/3e/38/7859ff46355f76f8d19459005ca000b6e7012f2f1ca597746cbcd1fbfe5e/antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b", size = 117034 }
-
 [[package]]
 name = "anyio"
 version = "4.9.0"
@@ -267,21 +261,6 @@ wheels = [
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