feat: CI pipeline, lint fixes, and Renovate config

- pyproject.toml with ruff/pytest config (setuptools<81 pin)
- Full test suite (26 tests)
- Gitea Actions CI (lint, test, docker, notify)
- Ruff lint/format fixes across source files
- Renovate config for automated dependency updates

Ref: ADR-0057

.gitea/workflows/ci.yml

@@ -0,0 +1,196 @@
+name: CI
+
+on:
+  push:
+    branches: [main]
+  pull_request:
+    branches: [main]
+
+env:
+  NTFY_URL: http://ntfy.observability.svc.cluster.local:80
+  REGISTRY: gitea-http.gitea.svc.cluster.local:3000/daviestechlabs
+  REGISTRY_HOST: gitea-http.gitea.svc.cluster.local:3000
+  IMAGE_NAME: stt-module
+
+jobs:
+  lint:
+    name: Lint
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up uv
+        uses: astral-sh/setup-uv@v7
+        with:
+          version: "latest"
+          activate-environment: false
+
+      - name: Set up Python
+        run: uv python install 3.12
+
+      - name: Install dependencies
+        run: uv sync --frozen --extra dev
+
+      - name: Run ruff check
+        run: uv run ruff check .
+
+      - name: Run ruff format check
+        run: uv run ruff format --check .
+
+  test:
+    name: Test
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up uv
+        uses: astral-sh/setup-uv@v7
+        with:
+          version: "latest"
+          activate-environment: false
+
+      - name: Set up Python
+        run: uv python install 3.12
+
+      - name: Install dependencies
+        run: uv sync --frozen --extra dev
+
+      - name: Run tests
+        run: uv run pytest -v
+
+  release:
+    name: Release
+    runs-on: ubuntu-latest
+    needs: [lint, test]
+    if: gitea.ref == 'refs/heads/main' && gitea.event_name == 'push'
+    outputs:
+      version: ${{ steps.version.outputs.version }}
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Determine version bump
+        id: version
+        run: |
+          # Get latest tag or default to v0.0.0
+          LATEST=$(git describe --tags --abbrev=0 2>/dev/null || echo "v0.0.0")
+          VERSION=${LATEST#v}
+          IFS='.' read -r MAJOR MINOR PATCH <<< "$VERSION"
+
+          # Check commit message for keywords
+          MSG="${{ gitea.event.head_commit.message }}"
+          if echo "$MSG" | grep -qiE "^major:|BREAKING CHANGE"; then
+            MAJOR=$((MAJOR + 1)); MINOR=0; PATCH=0
+            BUMP="major"
+          elif echo "$MSG" | grep -qiE "^(minor:|feat:)"; then
+            MINOR=$((MINOR + 1)); PATCH=0
+            BUMP="minor"
+          else
+            PATCH=$((PATCH + 1))
+            BUMP="patch"
+          fi
+
+          NEW_VERSION="v${MAJOR}.${MINOR}.${PATCH}"
+          echo "version=$NEW_VERSION" >> $GITHUB_OUTPUT
+          echo "bump=$BUMP" >> $GITHUB_OUTPUT
+          echo "Bumping $LATEST → $NEW_VERSION ($BUMP)"
+
+      - name: Create and push tag
+        run: |
+          git config user.name "gitea-actions[bot]"
+          git config user.email "actions@git.daviestechlabs.io"
+          git tag -a ${{ steps.version.outputs.version }} -m "Release ${{ steps.version.outputs.version }}"
+          git push origin ${{ steps.version.outputs.version }}
+
+  docker:
+    name: Docker Build & Push
+    runs-on: ubuntu-latest
+    needs: [lint, test, release]
+    if: gitea.ref == 'refs/heads/main' && gitea.event_name == 'push'
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+        with:
+          buildkitd-config-inline: |
+            [registry."gitea-http.gitea.svc.cluster.local:3000"]
+              http = true
+              insecure = true
+
+      - name: Login to Docker Hub
+        if: vars.DOCKERHUB_USERNAME != ''
+        uses: docker/login-action@v3
+        with:
+          username: ${{ vars.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+
+      - name: Configure Docker for insecure registry
+        run: |
+          sudo mkdir -p /etc/docker
+          echo '{"insecure-registries": ["${{ env.REGISTRY_HOST }}"]}' | sudo tee /etc/docker/daemon.json
+          sudo systemctl restart docker || sudo service docker restart || true
+          sleep 2
+
+      - name: Login to Gitea Registry
+        run: |
+          echo "${{ secrets.REGISTRY_TOKEN }}" | docker login ${{ env.REGISTRY_HOST }} -u ${{ secrets.REGISTRY_USER }} --password-stdin
+
+      - name: Extract metadata
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+          tags: |
+            type=semver,pattern={{version}},value=${{ needs.release.outputs.version }}
+            type=semver,pattern={{major}}.{{minor}},value=${{ needs.release.outputs.version }}
+            type=raw,value=latest,enable={{is_default_branch}}
+
+      - name: Build and push
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
+
+  notify:
+    name: Notify
+    runs-on: ubuntu-latest
+    needs: [lint, test, release, docker]
+    if: always()
+    steps:
+      - name: Notify on success
+        if: needs.lint.result == 'success' && needs.test.result == 'success'
+        run: |
+          curl -s \
+            -H "Title: ✅ CI Passed: ${{ gitea.repository }}" \
+            -H "Priority: default" \
+            -H "Tags: white_check_mark,github" \
+            -H "Click: ${{ gitea.server_url }}/${{ gitea.repository }}/actions/runs/${{ gitea.run_id }}" \
+            -d "Branch: ${{ gitea.ref_name }}
+          Commit: ${{ gitea.event.head_commit.message || gitea.sha }}
+          Release: ${{ needs.release.result == 'success' && needs.release.outputs.version || 'skipped' }}
+          Docker: ${{ needs.docker.result }}" \
+            ${{ env.NTFY_URL }}/gitea-ci
+
+      - name: Notify on failure
+        if: needs.lint.result == 'failure' || needs.test.result == 'failure'
+        run: |
+          curl -s \
+            -H "Title: ❌ CI Failed: ${{ gitea.repository }}" \
+            -H "Priority: high" \
+            -H "Tags: x,github" \
+            -H "Click: ${{ gitea.server_url }}/${{ gitea.repository }}/actions/runs/${{ gitea.run_id }}" \
+            -d "Branch: ${{ gitea.ref_name }}
+          Commit: ${{ gitea.event.head_commit.message || gitea.sha }}
+          Lint: ${{ needs.lint.result }}
+          Test: ${{ needs.test.result }}" \
+            ${{ env.NTFY_URL }}/gitea-ci

healthcheck.py

@@ -3,9 +3,10 @@
 Health check script for Kubernetes probes
 Verifies NATS connectivity
 """
-import sys
+
-import os
 import asyncio
+import os
+import sys
 
 import nats
 

pyproject.toml

@@ -0,0 +1,58 @@
+[project]
+name = "stt-module"
+version = "1.0.0"
+description = "Streaming STT service - speech to text via NATS using Whisper with VAD and interrupt detection"
+readme = "README.md"
+requires-python = ">=3.11"
+license = { text = "MIT" }
+authors = [{ name = "Davies Tech Labs" }]
+
+dependencies = [
+    "nats-py>=2.0.0,<3.0.0",
+    "httpx>=0.20.0,<1.0.0",
+    "msgpack",
+    "numpy>=1.20.0,<2.0.0",
+    "webrtcvad>=2.0.10",
+    "setuptools<81",  # required by webrtcvad for pkg_resources
+    "opentelemetry-api",
+    "opentelemetry-sdk",
+    "opentelemetry-exporter-otlp-proto-grpc",
+    "opentelemetry-exporter-otlp-proto-http",
+    "opentelemetry-instrumentation-httpx",
+    "opentelemetry-instrumentation-logging",
+]
+
+[project.optional-dependencies]
+dev = [
+    "pytest>=8.0.0",
+    "pytest-asyncio>=0.23.0",
+    "ruff>=0.1.0",
+]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["."]
+only-include = ["stt_streaming.py", "stt_streaming_local.py", "healthcheck.py"]
+
+[tool.ruff]
+line-length = 100
+target-version = "py311"
+
+[tool.ruff.lint]
+select = ["E", "F", "W", "I", "UP", "B", "C4", "SIM"]
+ignore = ["E501"]
+
+[tool.ruff.format]
+quote-style = "double"
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"
+testpaths = ["tests"]
+python_files = ["test_*.py"]
+python_classes = ["Test*"]
+python_functions = ["test_*"]
+addopts = "-v --tb=short"
+filterwarnings = ["ignore::DeprecationWarning"]

renovate.json

@@ -0,0 +1,7 @@
+{
+  "$schema": "https://docs.renovatebot.com/renovate-schema.json",
+  "extends": [
+    "local>daviestechlabs/renovate-config",
+    "local>daviestechlabs/renovate-config:python"
+  ]
+}

stt_streaming.py

@@ -11,46 +11,47 @@ Real-time Speech-to-Text service that processes live audio streams from NATS:
 This enables faster response times by processing audio as it arrives rather than
 waiting for complete audio upload.
 """
+
 import asyncio
 import base64
-import contextlib
 import logging
 import os
 import signal
 import time
-import struct
-from typing import Dict, Optional, List, Tuple
-from io import BytesIO
 
 import httpx
 import msgpack
 import nats
 import nats.js
-from nats.aio.msg import Msg
 import numpy as np
 import webrtcvad
+from nats.aio.msg import Msg
 
 # OpenTelemetry imports
-from opentelemetry import trace, metrics
+from opentelemetry import metrics, trace
-from opentelemetry.sdk.trace import TracerProvider
-from opentelemetry.sdk.trace.export import BatchSpanProcessor
-from opentelemetry.sdk.metrics import MeterProvider
-from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
-from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
 from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import OTLPMetricExporter
-from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter as OTLPSpanExporterHTTP
+from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
-from opentelemetry.exporter.otlp.proto.http.metric_exporter import OTLPMetricExporter as OTLPMetricExporterHTTP
+from opentelemetry.exporter.otlp.proto.http.metric_exporter import (
-from opentelemetry.sdk.resources import Resource, SERVICE_NAME, SERVICE_VERSION, SERVICE_NAMESPACE
+    OTLPMetricExporter as OTLPMetricExporterHTTP,
+)
+from opentelemetry.exporter.otlp.proto.http.trace_exporter import (
+    OTLPSpanExporter as OTLPSpanExporterHTTP,
+)
 from opentelemetry.instrumentation.httpx import HTTPXClientInstrumentor
 from opentelemetry.instrumentation.logging import LoggingInstrumentor
+from opentelemetry.sdk.metrics import MeterProvider
+from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
+from opentelemetry.sdk.resources import SERVICE_NAME, SERVICE_NAMESPACE, SERVICE_VERSION, Resource
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import BatchSpanProcessor
 
 # Configure logging
 logging.basicConfig(
-    level=logging.INFO,
+    level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
-    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
 )
 logger = logging.getLogger("stt-streaming")
 
+
 # Initialize OpenTelemetry
 def setup_telemetry():
     """Initialize OpenTelemetry tracing and metrics with HyperDX support."""
@@ -61,7 +62,10 @@ def setup_telemetry():
         return None, None
 
     # OTEL configuration
-    otel_endpoint = os.environ.get("OTEL_EXPORTER_OTLP_ENDPOINT", "http://opentelemetry-collector.observability.svc.cluster.local:4317")
+    otel_endpoint = os.environ.get(
+        "OTEL_EXPORTER_OTLP_ENDPOINT",
+        "http://opentelemetry-collector.observability.svc.cluster.local:4317",
+    )
     service_name = os.environ.get("OTEL_SERVICE_NAME", "stt-streaming")
     service_namespace = os.environ.get("OTEL_SERVICE_NAMESPACE", "ai-ml")
 
@@ -71,13 +75,15 @@ def setup_telemetry():
     use_hyperdx = os.environ.get("HYPERDX_ENABLED", "false").lower() == "true" and hyperdx_api_key
 
     # Create resource with service information
-    resource = Resource.create({
+    resource = Resource.create(
+        {
             SERVICE_NAME: service_name,
             SERVICE_VERSION: os.environ.get("SERVICE_VERSION", "1.0.0"),
             SERVICE_NAMESPACE: service_namespace,
             "deployment.environment": os.environ.get("DEPLOYMENT_ENV", "production"),
             "host.name": os.environ.get("HOSTNAME", "unknown"),
-    })
+        }
+    )
 
     # Setup tracing
     trace_provider = TracerProvider(resource=resource)
@@ -87,12 +93,10 @@ def setup_telemetry():
         logger.info(f"Configuring HyperDX exporter at {hyperdx_endpoint}")
         headers = {"authorization": hyperdx_api_key}
         otlp_span_exporter = OTLPSpanExporterHTTP(
-            endpoint=f"{hyperdx_endpoint}/v1/traces",
+            endpoint=f"{hyperdx_endpoint}/v1/traces", headers=headers
-            headers=headers
         )
         otlp_metric_exporter = OTLPMetricExporterHTTP(
-            endpoint=f"{hyperdx_endpoint}/v1/metrics",
+            endpoint=f"{hyperdx_endpoint}/v1/metrics", headers=headers
-            headers=headers
         )
     else:
         # Use gRPC exporter for standard OTEL collector
@@ -103,7 +107,9 @@ def setup_telemetry():
     trace.set_tracer_provider(trace_provider)
 
     # Setup metrics
-    metric_reader = PeriodicExportingMetricReader(otlp_metric_exporter, export_interval_millis=60000)
+    metric_reader = PeriodicExportingMetricReader(
+        otlp_metric_exporter, export_interval_millis=60000
+    )
     meter_provider = MeterProvider(resource=resource, metric_readers=[metric_reader])
     metrics.set_meter_provider(meter_provider)
 
@@ -122,35 +128,52 @@ def setup_telemetry():
 
     return tracer, meter
 
+
 # Configuration from environment
 WHISPER_URL = os.environ.get("WHISPER_URL", "http://whisper-predictor.ai-ml.svc.cluster.local")
 NATS_URL = os.environ.get("NATS_URL", "nats://nats.ai-ml.svc.cluster.local:4222")
 
 # NATS subjects for streaming
 STREAM_SUBJECT_PREFIX = "ai.voice.stream"  # Full subject: ai.voice.stream.{session_id}
-TRANSCRIPTION_SUBJECT_PREFIX = "ai.voice.transcription"  # Full subject: ai.voice.transcription.{session_id}
+TRANSCRIPTION_SUBJECT_PREFIX = (
+    "ai.voice.transcription"  # Full subject: ai.voice.transcription.{session_id}
+)
 
 # Streaming parameters
-BUFFER_SIZE_BYTES = int(os.environ.get("STT_BUFFER_SIZE_BYTES", "512000"))  # ~5 seconds at 16kHz 16-bit
+BUFFER_SIZE_BYTES = int(
-CHUNK_TIMEOUT_SECONDS = float(os.environ.get("STT_CHUNK_TIMEOUT", "2.0"))  # Process after 2s of silence
+    os.environ.get("STT_BUFFER_SIZE_BYTES", "512000")
+)  # ~5 seconds at 16kHz 16-bit
+CHUNK_TIMEOUT_SECONDS = float(
+    os.environ.get("STT_CHUNK_TIMEOUT", "2.0")
+)  # Process after 2s of silence
 MAX_BUFFER_SIZE_BYTES = int(os.environ.get("STT_MAX_BUFFER_SIZE", "5120000"))  # ~50 seconds max
 
 # Audio constants
 AUDIO_SAMPLE_MAX_INT16 = 32768.0  # Maximum value for 16-bit signed integer audio
-VAD_VOICE_RATIO_THRESHOLD = float(os.environ.get("STT_VAD_VOICE_RATIO", "0.3"))  # Min ratio of voice frames
+VAD_VOICE_RATIO_THRESHOLD = float(
+    os.environ.get("STT_VAD_VOICE_RATIO", "0.3")
+)  # Min ratio of voice frames
 
 # Voice Activity Detection (VAD) parameters
 ENABLE_VAD = os.environ.get("STT_ENABLE_VAD", "true").lower() == "true"
-VAD_AGGRESSIVENESS = int(os.environ.get("STT_VAD_AGGRESSIVENESS", "2"))  # 0-3, higher = more aggressive
+VAD_AGGRESSIVENESS = int(
+    os.environ.get("STT_VAD_AGGRESSIVENESS", "2")
+)  # 0-3, higher = more aggressive
 VAD_FRAME_DURATION_MS = int(os.environ.get("STT_VAD_FRAME_DURATION", "30"))  # 10, 20, or 30 ms
 
 # Audio threshold for interrupt detection (when LLM is responding)
-ENABLE_INTERRUPT_DETECTION = os.environ.get("STT_ENABLE_INTERRUPT_DETECTION", "true").lower() == "true"
+ENABLE_INTERRUPT_DETECTION = (
+    os.environ.get("STT_ENABLE_INTERRUPT_DETECTION", "true").lower() == "true"
+)
 AUDIO_LEVEL_THRESHOLD = float(os.environ.get("STT_AUDIO_LEVEL_THRESHOLD", "0.02"))  # RMS threshold
-INTERRUPT_DURATION_THRESHOLD = float(os.environ.get("STT_INTERRUPT_DURATION", "0.5"))  # Seconds of speech to trigger
+INTERRUPT_DURATION_THRESHOLD = float(
+    os.environ.get("STT_INTERRUPT_DURATION", "0.5")
+)  # Seconds of speech to trigger
 
 # Speaker diarization
-ENABLE_SPEAKER_DIARIZATION = os.environ.get("STT_ENABLE_SPEAKER_DIARIZATION", "false").lower() == "true"
+ENABLE_SPEAKER_DIARIZATION = (
+    os.environ.get("STT_ENABLE_SPEAKER_DIARIZATION", "false").lower() == "true"
+)
 
 # Session states
 SESSION_STATE_LISTENING = "listening"
@@ -209,7 +232,7 @@ def detect_voice_activity(audio_data: bytes, sample_rate: int = 16000) -> bool:
         total_frames = 0
 
         for i in range(0, len(audio_data) - frame_size, frame_size):
-            frame = audio_data[i:i + frame_size]
+            frame = audio_data[i : i + frame_size]
             if len(frame) == frame_size:
                 try:
                     is_speech = vad.is_speech(frame, sample_rate)
@@ -259,7 +282,9 @@ class AudioBuffer:
         self.has_voice_activity = has_voice
         self._last_chunk_vad_result = has_voice
 
-        logger.debug(f"Session {self.session_id}: Added chunk, total {self.total_bytes} bytes, voice={has_voice}")
+        logger.debug(
+            f"Session {self.session_id}: Added chunk, total {self.total_bytes} bytes, voice={has_voice}"
+        )
 
     def check_interrupt(self, audio_data: bytes) -> bool:
         """
@@ -279,13 +304,19 @@ class AudioBuffer:
         rms_level = calculate_audio_rms(audio_data)
 
         # Use cached VAD result if available to avoid duplicate processing
-        has_voice = self._last_chunk_vad_result if self._last_chunk_vad_result is not None else detect_voice_activity(audio_data)
+        has_voice = (
+            self._last_chunk_vad_result
+            if self._last_chunk_vad_result is not None
+            else detect_voice_activity(audio_data)
+        )
 
         # Check if audio exceeds threshold and contains voice
         if rms_level >= AUDIO_LEVEL_THRESHOLD and has_voice:
             if self.interrupt_start_time is None:
                 self.interrupt_start_time = time.time()
-                logger.info(f"Session {self.session_id}: Potential interrupt detected (RMS={rms_level:.3f})")
+                logger.info(
+                    f"Session {self.session_id}: Potential interrupt detected (RMS={rms_level:.3f})"
+                )
 
             # Check if interrupt has lasted long enough
             elapsed = time.time() - self.interrupt_start_time
@@ -311,9 +342,12 @@ class AudioBuffer:
     def should_process(self) -> bool:
         """Determine if buffer should be processed now."""
         # Don't process if no voice activity detected (unless buffer is full or timed out)
-        if ENABLE_VAD and not self.has_voice_activity:
+        if (
-            # Still process if buffer is very large or has timed out
+            ENABLE_VAD
-            if self.total_bytes < BUFFER_SIZE_BYTES and time.time() - self.last_chunk_time < CHUNK_TIMEOUT_SECONDS:
+            and not self.has_voice_activity
+            and self.total_bytes < BUFFER_SIZE_BYTES
+            and time.time() - self.last_chunk_time < CHUNK_TIMEOUT_SECONDS
+        ):
             return False
 
         # Process if buffer size threshold reached
@@ -323,13 +357,11 @@ class AudioBuffer:
         if time.time() - self.last_chunk_time > CHUNK_TIMEOUT_SECONDS and self.total_bytes > 0:
             return True
         # Process if buffer is too large (safety limit)
-        if self.total_bytes >= MAX_BUFFER_SIZE_BYTES:
+        return self.total_bytes >= MAX_BUFFER_SIZE_BYTES
-            return True
-        return False
 
     def get_audio(self) -> bytes:
         """Get concatenated audio data."""
-        return b''.join(self.chunks)
+        return b"".join(self.chunks)
 
     def clear(self) -> None:
         """Clear the buffer after processing."""
@@ -350,7 +382,7 @@ class StreamingSTT:
         self.nc = None
         self.js = None
         self.http_client = None
-        self.sessions: Dict[str, AudioBuffer] = {}
+        self.sessions: dict[str, AudioBuffer] = {}
         self.running = True
         self.processing_tasks = {}
         self.is_healthy = False
@@ -369,12 +401,12 @@ class StreamingSTT:
             self.stream_counter = self.meter.create_counter(
                 name="stt_streams_total",
                 description="Total number of STT streams processed",
-                unit="1"
+                unit="1",
             )
             self.transcription_duration = self.meter.create_histogram(
                 name="stt_transcription_duration_seconds",
                 description="Duration of STT transcription",
-                unit="s"
+                unit="s",
             )
 
         # NATS connection
@@ -406,13 +438,12 @@ class StreamingSTT:
         # Mark as healthy once connections are established
         self.is_healthy = True
 
-    async def transcribe(self, audio_bytes: bytes) -> Optional[str]:
+    async def transcribe(self, audio_bytes: bytes) -> str | None:
         """Transcribe audio using Whisper."""
         try:
             files = {"file": ("audio.wav", audio_bytes, "audio/wav")}
             response = await self.http_client.post(
-                f"{WHISPER_URL}/v1/audio/transcriptions",
+                f"{WHISPER_URL}/v1/audio/transcriptions", files=files
-                files=files
             )
             response.raise_for_status()
             result = response.json()
@@ -433,7 +464,9 @@ class StreamingSTT:
         if not audio_data:
             return
 
-        logger.info(f"Processing {len(audio_data)} bytes for session {session_id}, sequence {buffer.sequence}")
+        logger.info(
+            f"Processing {len(audio_data)} bytes for session {session_id}, sequence {buffer.sequence}"
+        )
 
         # Transcribe
         transcript = await self.transcribe(audio_data)
@@ -449,14 +482,15 @@ class StreamingSTT:
                 "timestamp": time.time(),
                 "speaker_id": buffer.speaker_id,
                 "has_voice_activity": buffer.has_voice_activity,
-                "state": buffer.state
+                "state": buffer.state,
             }
 
             await self.nc.publish(
-                f"{TRANSCRIPTION_SUBJECT_PREFIX}.{session_id}",
+                f"{TRANSCRIPTION_SUBJECT_PREFIX}.{session_id}", msgpack.packb(result)
-                msgpack.packb(result)
+            )
+            logger.info(
+                f"Published transcription for session {session_id} (seq {buffer.sequence}, speaker={buffer.speaker_id})"
             )
-            logger.info(f"Published transcription for session {session_id} (seq {buffer.sequence}, speaker={buffer.speaker_id})")
 
         # Clear buffer after processing
         buffer.clear()
@@ -494,7 +528,7 @@ class StreamingSTT:
         """Handle incoming audio stream message."""
         try:
             # Extract session_id from subject: ai.voice.stream.{session_id}
-            subject_parts = msg.subject.split('.')
+            subject_parts = msg.subject.split(".")
             if len(subject_parts) < 4:
                 logger.warning(f"Invalid subject format: {msg.subject}")
                 return
@@ -570,11 +604,10 @@ class StreamingSTT:
                         "session_id": session_id,
                         "type": "interrupt",
                         "timestamp": time.time(),
-                        "speaker_id": buffer.speaker_id
+                        "speaker_id": buffer.speaker_id,
                     }
                     await self.nc.publish(
-                        f"{TRANSCRIPTION_SUBJECT_PREFIX}.{session_id}",
+                        f"{TRANSCRIPTION_SUBJECT_PREFIX}.{session_id}", msgpack.packb(interrupt_msg)
-                        msgpack.packb(interrupt_msg)
                     )
                     logger.info(f"Published interrupt notification for session {session_id}")
 

stt_streaming_local.py

@@ -15,44 +15,43 @@ instead of calling an external Whisper service.
 
 Supports HyperDX for observability via OpenTelemetry.
 """
+
 import asyncio
 import base64
-import contextlib
-import io
 import logging
 import os
 import signal
 import tempfile
 import time
-from typing import Dict, Optional
 
-from aiohttp import web
 import msgpack
 import nats
 import nats.js
-import numpy as np
-import soundfile as sf
 import torch
 import whisper
+from aiohttp import web
 from nats.aio.msg import Msg
 
 # OpenTelemetry imports
-from opentelemetry import trace, metrics
+from opentelemetry import metrics, trace
-from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import OTLPMetricExporter
-from opentelemetry.sdk.trace.export import BatchSpanProcessor
+from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
+from opentelemetry.exporter.otlp.proto.http.metric_exporter import (
+    OTLPMetricExporter as OTLPMetricExporterHTTP,
+)
+from opentelemetry.exporter.otlp.proto.http.trace_exporter import (
+    OTLPSpanExporter as OTLPSpanExporterHTTP,
+)
+from opentelemetry.instrumentation.logging import LoggingInstrumentor
 from opentelemetry.sdk.metrics import MeterProvider
 from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
-from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
+from opentelemetry.sdk.resources import SERVICE_NAME, SERVICE_NAMESPACE, SERVICE_VERSION, Resource
-from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import OTLPMetricExporter
+from opentelemetry.sdk.trace import TracerProvider
-from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter as OTLPSpanExporterHTTP
+from opentelemetry.sdk.trace.export import BatchSpanProcessor
-from opentelemetry.exporter.otlp.proto.http.metric_exporter import OTLPMetricExporter as OTLPMetricExporterHTTP
-from opentelemetry.sdk.resources import Resource, SERVICE_NAME, SERVICE_VERSION, SERVICE_NAMESPACE
-from opentelemetry.instrumentation.logging import LoggingInstrumentor
 
 # Configure logging
 logging.basicConfig(
-    level=logging.INFO,
+    level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
-    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
 )
 logger = logging.getLogger("stt-streaming-rocm")
 
@@ -66,7 +65,10 @@ def setup_telemetry():
         return None, None
 
     # OTEL configuration
-    otel_endpoint = os.environ.get("OTEL_EXPORTER_OTLP_ENDPOINT", "http://opentelemetry-collector.observability.svc.cluster.local:4317")
+    otel_endpoint = os.environ.get(
+        "OTEL_EXPORTER_OTLP_ENDPOINT",
+        "http://opentelemetry-collector.observability.svc.cluster.local:4317",
+    )
     service_name = os.environ.get("OTEL_SERVICE_NAME", "stt-streaming-rocm")
     service_namespace = os.environ.get("OTEL_SERVICE_NAMESPACE", "ai-ml")
 
@@ -76,13 +78,15 @@ def setup_telemetry():
     use_hyperdx = os.environ.get("HYPERDX_ENABLED", "false").lower() == "true" and hyperdx_api_key
 
     # Create resource with service information
-    resource = Resource.create({
+    resource = Resource.create(
+        {
             SERVICE_NAME: service_name,
             SERVICE_VERSION: os.environ.get("SERVICE_VERSION", "1.0.0"),
             SERVICE_NAMESPACE: service_namespace,
             "deployment.environment": os.environ.get("DEPLOYMENT_ENV", "production"),
             "host.name": os.environ.get("HOSTNAME", "unknown"),
-    })
+        }
+    )
 
     # Setup tracing
     trace_provider = TracerProvider(resource=resource)
@@ -92,12 +96,10 @@ def setup_telemetry():
         logger.info(f"Configuring HyperDX exporter at {hyperdx_endpoint}")
         headers = {"authorization": hyperdx_api_key}
         otlp_span_exporter = OTLPSpanExporterHTTP(
-            endpoint=f"{hyperdx_endpoint}/v1/traces",
+            endpoint=f"{hyperdx_endpoint}/v1/traces", headers=headers
-            headers=headers
         )
         otlp_metric_exporter = OTLPMetricExporterHTTP(
-            endpoint=f"{hyperdx_endpoint}/v1/metrics",
+            endpoint=f"{hyperdx_endpoint}/v1/metrics", headers=headers
-            headers=headers
         )
     else:
         # Use gRPC exporter for standard OTEL collector
@@ -109,7 +111,9 @@ def setup_telemetry():
     trace.set_tracer_provider(trace_provider)
 
     # Setup metrics
-    metric_reader = PeriodicExportingMetricReader(otlp_metric_exporter, export_interval_millis=60000)
+    metric_reader = PeriodicExportingMetricReader(
+        otlp_metric_exporter, export_interval_millis=60000
+    )
     meter_provider = MeterProvider(resource=resource, metric_readers=[metric_reader])
     metrics.set_meter_provider(meter_provider)
 
@@ -134,11 +138,17 @@ WHISPER_FP16 = os.environ.get("WHISPER_FP16", "true").lower() == "true"
 
 # NATS subjects for streaming
 STREAM_SUBJECT_PREFIX = "ai.voice.stream"  # Full subject: ai.voice.stream.{session_id}
-TRANSCRIPTION_SUBJECT_PREFIX = "ai.voice.transcription"  # Full subject: ai.voice.transcription.{session_id}
+TRANSCRIPTION_SUBJECT_PREFIX = (
+    "ai.voice.transcription"  # Full subject: ai.voice.transcription.{session_id}
+)
 
 # Streaming parameters
-BUFFER_SIZE_BYTES = int(os.environ.get("STT_BUFFER_SIZE_BYTES", "512000"))  # ~5 seconds at 16kHz 16-bit
+BUFFER_SIZE_BYTES = int(
-CHUNK_TIMEOUT_SECONDS = float(os.environ.get("STT_CHUNK_TIMEOUT", "2.0"))  # Process after 2s of silence
+    os.environ.get("STT_BUFFER_SIZE_BYTES", "512000")
+)  # ~5 seconds at 16kHz 16-bit
+CHUNK_TIMEOUT_SECONDS = float(
+    os.environ.get("STT_CHUNK_TIMEOUT", "2.0")
+)  # Process after 2s of silence
 MAX_BUFFER_SIZE_BYTES = int(os.environ.get("STT_MAX_BUFFER_SIZE", "5120000"))  # ~50 seconds max
 
 # Health server port for kserve compatibility
@@ -172,13 +182,11 @@ class AudioBuffer:
         if time.time() - self.last_chunk_time > CHUNK_TIMEOUT_SECONDS and self.total_bytes > 0:
             return True
         # Process if buffer is too large (safety limit)
-        if self.total_bytes >= MAX_BUFFER_SIZE_BYTES:
+        return self.total_bytes >= MAX_BUFFER_SIZE_BYTES
-            return True
-        return False
 
     def get_audio(self) -> bytes:
         """Get concatenated audio data."""
-        return b''.join(self.chunks)
+        return b"".join(self.chunks)
 
     def clear(self) -> None:
         """Clear the buffer after processing."""
@@ -198,7 +206,7 @@ class StreamingSTTLocal:
         self.nc = None
         self.js = None
         self.whisper_model = None
-        self.sessions: Dict[str, AudioBuffer] = {}
+        self.sessions: dict[str, AudioBuffer] = {}
         self.running = True
         self.processing_tasks = {}
         self.is_healthy = False
@@ -218,17 +226,17 @@ class StreamingSTTLocal:
             self.stream_counter = self.meter.create_counter(
                 name="stt_streams_total",
                 description="Total number of STT streams processed",
-                unit="1"
+                unit="1",
             )
             self.transcription_duration = self.meter.create_histogram(
                 name="stt_transcription_duration_seconds",
                 description="Duration of STT transcription",
-                unit="s"
+                unit="s",
             )
             self.gpu_memory_gauge = self.meter.create_observable_gauge(
                 name="stt_gpu_memory_bytes",
                 description="GPU memory usage in bytes",
-                callbacks=[self._get_gpu_memory]
+                callbacks=[self._get_gpu_memory],
             )
 
         # Check GPU availability
@@ -274,16 +282,17 @@ class StreamingSTTLocal:
     async def health_handler(self, request: web.Request) -> web.Response:
         """Handle health check requests for kserve compatibility."""
         if self.is_healthy:
-            return web.json_response({
+            return web.json_response(
+                {
                     "status": "healthy",
                     "model": WHISPER_MODEL_SIZE,
                     "device": WHISPER_DEVICE,
                     "nats_connected": self.nc is not None and self.nc.is_connected,
-            })
+                }
+            )
         else:
             return web.json_response(
-                {"status": "unhealthy", "model": WHISPER_MODEL_SIZE},
+                {"status": "unhealthy", "model": WHISPER_MODEL_SIZE}, status=503
-                status=503
             )
 
     async def start_health_server(self) -> web.AppRunner:
@@ -306,7 +315,7 @@ class StreamingSTTLocal:
             memory_used = torch.cuda.memory_allocated(0)
             yield metrics.Observation(memory_used, {"device": "0"})
 
-    def transcribe(self, audio_bytes: bytes) -> Optional[str]:
+    def transcribe(self, audio_bytes: bytes) -> str | None:
         """Transcribe audio using local Whisper model."""
         start_time = time.time()
 
@@ -351,7 +360,9 @@ class StreamingSTTLocal:
         if not audio_data:
             return
 
-        logger.info(f"Processing {len(audio_data)} bytes for session {session_id}, sequence {buffer.sequence}")
+        logger.info(
+            f"Processing {len(audio_data)} bytes for session {session_id}, sequence {buffer.sequence}"
+        )
 
         # Record stream counter
         if self.stream_counter:
@@ -375,8 +386,7 @@ class StreamingSTTLocal:
             }
 
             await self.nc.publish(
-                f"{TRANSCRIPTION_SUBJECT_PREFIX}.{session_id}",
+                f"{TRANSCRIPTION_SUBJECT_PREFIX}.{session_id}", msgpack.packb(result)
-                msgpack.packb(result)
             )
             logger.info(f"Published transcription for session {session_id} (seq {buffer.sequence})")
 
@@ -416,7 +426,7 @@ class StreamingSTTLocal:
         """Handle incoming audio stream message."""
         try:
             # Extract session_id from subject: ai.voice.stream.{session_id}
-            subject_parts = msg.subject.split('.')
+            subject_parts = msg.subject.split(".")
             if len(subject_parts) < 4:
                 logger.warning(f"Invalid subject format: {msg.subject}")
                 return

tests/conftest.py

@@ -0,0 +1,71 @@
+"""
+Pytest configuration and fixtures for stt-module tests.
+"""
+
+import asyncio
+import base64
+import os
+import struct
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+
+# Set test environment variables before importing
+os.environ.setdefault("NATS_URL", "nats://localhost:4222")
+os.environ.setdefault("WHISPER_URL", "http://localhost:8000")
+os.environ.setdefault("OTEL_ENABLED", "false")
+os.environ.setdefault("STT_ENABLE_VAD", "false")
+
+
+@pytest.fixture(scope="session")
+def event_loop():
+    """Create event loop for async tests."""
+    loop = asyncio.new_event_loop()
+    yield loop
+    loop.close()
+
+
+@pytest.fixture
+def silent_pcm_bytes():
+    """16-bit PCM silence (1000 samples at 16kHz = 62.5ms)."""
+    return bytes([0x00] * 2000)
+
+
+@pytest.fixture
+def noisy_pcm_bytes():
+    """16-bit PCM with some signal (sine-like pattern)."""
+    samples = []
+    for i in range(1000):
+        val = int(16000 * ((i % 50) / 50.0 - 0.5))
+        samples.append(struct.pack("<h", val))
+    return b"".join(samples)
+
+
+@pytest.fixture
+def sample_audio_b64(silent_pcm_bytes):
+    """Base64-encoded silent PCM audio."""
+    return base64.b64encode(silent_pcm_bytes).decode()
+
+
+@pytest.fixture
+def mock_nats():
+    """Mock NATS connection."""
+    nc = AsyncMock()
+    nc.publish = AsyncMock()
+    nc.subscribe = AsyncMock()
+    nc.close = AsyncMock()
+    nc.jetstream = MagicMock(return_value=AsyncMock())
+    return nc
+
+
+@pytest.fixture
+def mock_http_client():
+    """Mock httpx async client."""
+    client = AsyncMock()
+    response = MagicMock()
+    response.status_code = 200
+    response.json.return_value = {"text": "Hello world"}
+    response.raise_for_status = MagicMock()
+    client.post = AsyncMock(return_value=response)
+    client.aclose = AsyncMock()
+    return client

tests/test_stt_streaming.py

@@ -0,0 +1,262 @@
+"""
+Unit tests for STT streaming service.
+"""
+
+import time
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import msgpack
+import pytest
+
+from stt_streaming import (
+    TRANSCRIPTION_SUBJECT_PREFIX,
+    AudioBuffer,
+    StreamingSTT,
+    calculate_audio_rms,
+)
+
+# ---------------------------------------------------------------------------
+# Utility function tests
+# ---------------------------------------------------------------------------
+
+
+class TestCalculateAudioRms:
+    """Tests for calculate_audio_rms helper."""
+
+    def test_silence_returns_zero(self, silent_pcm_bytes):
+        rms = calculate_audio_rms(silent_pcm_bytes)
+        assert rms == 0.0
+
+    def test_noisy_signal_above_zero(self, noisy_pcm_bytes):
+        rms = calculate_audio_rms(noisy_pcm_bytes)
+        assert rms > 0.0
+
+    def test_empty_bytes(self):
+        rms = calculate_audio_rms(b"")
+        assert rms == 0.0
+
+    def test_single_byte(self):
+        rms = calculate_audio_rms(b"\x00")
+        assert rms == 0.0
+
+
+# ---------------------------------------------------------------------------
+# AudioBuffer tests
+# ---------------------------------------------------------------------------
+
+
+class TestAudioBuffer:
+    """Tests for AudioBuffer session management."""
+
+    def test_init(self):
+        buf = AudioBuffer("sess-1")
+        assert buf.session_id == "sess-1"
+        assert buf.total_bytes == 0
+        assert buf.is_complete is False
+        assert buf.sequence == 0
+        assert buf.state == "listening"
+
+    def test_add_chunk(self, silent_pcm_bytes):
+        buf = AudioBuffer("sess-1")
+        buf.add_chunk(silent_pcm_bytes)
+        assert buf.total_bytes == len(silent_pcm_bytes)
+        assert len(buf.chunks) == 1
+
+    def test_get_audio_concatenates(self, silent_pcm_bytes):
+        buf = AudioBuffer("sess-1")
+        buf.add_chunk(silent_pcm_bytes)
+        buf.add_chunk(silent_pcm_bytes)
+        audio = buf.get_audio()
+        assert len(audio) == len(silent_pcm_bytes) * 2
+
+    def test_clear_resets(self, silent_pcm_bytes):
+        buf = AudioBuffer("sess-1")
+        buf.add_chunk(silent_pcm_bytes)
+        buf.clear()
+        assert buf.total_bytes == 0
+        assert buf.chunks == []
+        assert buf.sequence == 1  # Incremented after clear
+
+    def test_mark_complete(self):
+        buf = AudioBuffer("sess-1")
+        buf.mark_complete()
+        assert buf.is_complete is True
+
+    def test_set_state(self):
+        buf = AudioBuffer("sess-1")
+        assert buf.state == "listening"
+        buf.set_state("responding")
+        assert buf.state == "responding"
+        buf.set_state("listening")
+        assert buf.state == "listening"
+
+    def test_set_invalid_state_ignored(self):
+        buf = AudioBuffer("sess-1")
+        buf.set_state("invalid")
+        assert buf.state == "listening"  # Unchanged
+
+    @patch("stt_streaming.BUFFER_SIZE_BYTES", 100)
+    def test_should_process_when_buffer_full(self, silent_pcm_bytes):
+        buf = AudioBuffer("sess-1")
+        buf.add_chunk(silent_pcm_bytes)  # 2000 bytes > 100 threshold
+        assert buf.should_process() is True
+
+    def test_should_not_process_when_empty(self):
+        buf = AudioBuffer("sess-1")
+        assert buf.should_process() is False
+
+    @patch("stt_streaming.CHUNK_TIMEOUT_SECONDS", 0.0)
+    def test_should_process_on_timeout(self, silent_pcm_bytes):
+        buf = AudioBuffer("sess-1")
+        buf.add_chunk(silent_pcm_bytes)
+        buf.last_chunk_time = time.time() - 10  # Force timeout
+        assert buf.should_process() is True
+
+
+# ---------------------------------------------------------------------------
+# StreamingSTT tests
+# ---------------------------------------------------------------------------
+
+
+class TestStreamingSTT:
+    """Tests for the StreamingSTT service."""
+
+    @pytest.fixture
+    def service(self, mock_nats, mock_http_client):
+        svc = StreamingSTT()
+        svc.nc = mock_nats
+        svc.js = mock_nats.jetstream()
+        svc.http_client = mock_http_client
+        svc.is_healthy = True
+        return svc
+
+    @pytest.mark.asyncio
+    async def test_transcribe_success(self, service):
+        """Successful transcription returns text."""
+        result = await service.transcribe(b"fake-audio")
+        assert result == "Hello world"
+        service.http_client.post.assert_called_once()
+
+    @pytest.mark.asyncio
+    async def test_transcribe_failure(self, service):
+        """Transcription failure returns None."""
+        service.http_client.post = AsyncMock(side_effect=Exception("timeout"))
+        result = await service.transcribe(b"fake-audio")
+        assert result is None
+
+    @pytest.mark.asyncio
+    async def test_handle_start_message(self, service):
+        """Start message creates a new session buffer."""
+        msg = MagicMock()
+        msg.subject = "ai.voice.stream.sess-1"
+        msg.data = msgpack.packb({"type": "start"})
+
+        await service.handle_stream_message(msg)
+
+        assert "sess-1" in service.sessions
+        assert service.sessions["sess-1"].state == "listening"
+
+    @pytest.mark.asyncio
+    async def test_handle_start_with_speaker_id(self, service):
+        """Start message with speaker_id stores it on the buffer."""
+        msg = MagicMock()
+        msg.subject = "ai.voice.stream.sess-2"
+        msg.data = msgpack.packb({"type": "start", "speaker_id": "user-42"})
+
+        await service.handle_stream_message(msg)
+        assert service.sessions["sess-2"].speaker_id == "user-42"
+
+    @pytest.mark.asyncio
+    async def test_handle_state_change(self, service):
+        """State change message updates the buffer state."""
+        # Create session first
+        service.sessions["sess-1"] = AudioBuffer("sess-1")
+
+        msg = MagicMock()
+        msg.subject = "ai.voice.stream.sess-1"
+        msg.data = msgpack.packb({"type": "state_change", "state": "responding"})
+
+        await service.handle_stream_message(msg)
+        assert service.sessions["sess-1"].state == "responding"
+
+    @pytest.mark.asyncio
+    async def test_handle_audio_chunk(self, service, sample_audio_b64):
+        """Audio chunks are added to the session buffer."""
+        service.sessions["sess-1"] = AudioBuffer("sess-1")
+        # Prevent auto-creation of monitoring task
+        service.processing_tasks["sess-1"] = MagicMock()
+
+        msg = MagicMock()
+        msg.subject = "ai.voice.stream.sess-1"
+        msg.data = msgpack.packb({"type": "chunk", "audio_b64": sample_audio_b64})
+
+        await service.handle_stream_message(msg)
+        assert service.sessions["sess-1"].total_bytes > 0
+
+    @pytest.mark.asyncio
+    async def test_handle_end_message(self, service, mock_http_client):
+        """End message triggers processing of remaining audio."""
+        buf = AudioBuffer("sess-1")
+        buf.add_chunk(b"\x00" * 100)
+        service.sessions["sess-1"] = buf
+
+        msg = MagicMock()
+        msg.subject = "ai.voice.stream.sess-1"
+        msg.data = msgpack.packb({"type": "end"})
+
+        await service.handle_stream_message(msg)
+
+        # Should have published a transcription
+        assert service.nc.publish.called
+
+    @pytest.mark.asyncio
+    async def test_handle_auto_create_session(self, service, sample_audio_b64):
+        """Chunk message auto-creates session when start was missed."""
+        msg = MagicMock()
+        msg.subject = "ai.voice.stream.new-sess"
+        msg.data = msgpack.packb({"type": "chunk", "audio_b64": sample_audio_b64})
+
+        await service.handle_stream_message(msg)
+        assert "new-sess" in service.sessions
+
+    @pytest.mark.asyncio
+    async def test_process_buffer_publishes_result(self, service, mock_http_client):
+        """process_buffer publishes transcription to NATS."""
+        buf = AudioBuffer("sess-1")
+        buf.add_chunk(b"\x00" * 100)
+        service.sessions["sess-1"] = buf
+
+        await service.process_buffer("sess-1")
+
+        # Verify transcription published
+        pub_calls = service.nc.publish.call_args_list
+        assert len(pub_calls) >= 1
+        subject = pub_calls[0].args[0]
+        assert subject == f"{TRANSCRIPTION_SUBJECT_PREFIX}.sess-1"
+        data = msgpack.unpackb(pub_calls[0].args[1], raw=False)
+        assert data["transcript"] == "Hello world"
+        assert data["session_id"] == "sess-1"
+
+    @pytest.mark.asyncio
+    async def test_process_buffer_no_session(self, service):
+        """process_buffer handles missing session gracefully."""
+        await service.process_buffer("nonexistent")
+        service.nc.publish.assert_not_called()
+
+    @pytest.mark.asyncio
+    async def test_process_buffer_empty_audio(self, service):
+        """process_buffer skips empty buffers."""
+        service.sessions["sess-1"] = AudioBuffer("sess-1")
+        await service.process_buffer("sess-1")
+        service.nc.publish.assert_not_called()
+
+    def test_invalid_subject(self, service):
+        """Messages with invalid subjects are skipped."""
+        msg = MagicMock()
+        msg.subject = "ai.voice"  # Too few parts
+        msg.data = msgpack.packb({"type": "start"})
+
+        import asyncio
+
+        asyncio.get_event_loop().run_until_complete(service.handle_stream_message(msg))
+        assert len(service.sessions) == 0

uv.lock

@@ -0,0 +1,738 @@
+version = 1
+revision = 3
+requires-python = ">=3.11"
+resolution-markers = [
+    "python_full_version >= '3.13'",
+    "python_full_version < '3.13'",
+]
+
+[[package]]
+name = "anyio"
+version = "4.12.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "idna" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+]
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