⚡ Bolt: Use AsyncGroq and offload SQLite to unblock FastAPI event loop#84
⚡ Bolt: Use AsyncGroq and offload SQLite to unblock FastAPI event loop#84Adityasingh-8858 wants to merge 1 commit into
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- Replaced synchronous `Groq` client with `AsyncGroq` in `backend/main.py`. - Offloaded blocking SQLite calls using `asyncio.to_thread`. - Added journal entry for event loop optimization learning. Co-authored-by: Deepaksingh7238 <110552872+Deepaksingh7238@users.noreply.github.com>
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Pull request overview
This PR improves FastAPI concurrency by making Groq LLM calls non-blocking (switching to AsyncGroq) and offloading synchronous SQLite persistence operations to background threads, and records the rationale in the Bolt journal.
Changes:
- Replace sync
Groqusage withAsyncGroq+awaitin/ai-voiceand/initiate-transfer. - Offload blocking SQLite persistence calls (
create_transfer_record,set_agent_b,list_transfers,get_transfer) viaasyncio.to_thread. - Add
.jules/bolt.mddocumenting the event-loop blocking constraint and the chosen mitigation.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 3 comments.
| File | Description |
|---|---|
| backend/main.py | Uses AsyncGroq and asyncio.to_thread to avoid blocking the FastAPI event loop during network + SQLite I/O. |
| .jules/bolt.md | Documents the async/performance rationale and recommended patterns. |
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| global groq_client | ||
| if groq_client is None: | ||
| groq_client = Groq(api_key=GROQ_API_KEY) | ||
| groq_client = AsyncGroq(api_key=GROQ_API_KEY) |
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Same concurrency issue as in /ai-voice: concurrent /initiate-transfer requests can race on the global groq_client initialization and create multiple AsyncGroq clients. Use a shared initialization helper with a lock, or create/attach the client once in lifespan startup to ensure only one instance per process.
| import asyncio | ||
| from groq import Groq | ||
| from groq import AsyncGroq |
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AsyncGroq likely manages an underlying async HTTP client; with the switch from the sync Groq client, the app should close groq_client on shutdown (e.g., in lifespan after yield, call await groq_client.aclose() if it exists) to avoid leaking connections/file descriptors during reloads or graceful shutdown.
| global groq_client | ||
| if groq_client is None: | ||
| groq_client = Groq(api_key=GROQ_API_KEY) | ||
| chat_completion = groq_client.chat.completions.create( | ||
| groq_client = AsyncGroq(api_key=GROQ_API_KEY) | ||
| chat_completion = await groq_client.chat.completions.create( |
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The lazy initialization of the global groq_client is not concurrency-safe: multiple concurrent requests can observe groq_client is None and create multiple AsyncGroq instances, potentially leaking connections. Consider guarding initialization with an asyncio.Lock or initializing the client once during app startup (lifespan) and reusing it via app.state.
💡 What:
Groqclient forAsyncGroqin the/ai-voiceand/initiate-transferendpoints.create_transfer_record,set_agent_b,list_transfers,get_transfer) inasyncio.to_thread..jules/bolt.mdjournal.🎯 Why:
The FastAPI framework operates on a single-threaded asynchronous event loop. Calling synchronous network operations or blocking local file I/O completely halted the event loop while those tasks completed, devastating concurrency. By making these I/O operations asynchronous or offloading them to threads, the event loop remains responsive and can serve other concurrent requests efficiently.
📊 Impact:
Massively improves application throughput under load. It prevents AI generation (which can take hundreds of milliseconds) and local DB writes from stalling all other active HTTP connections.
🔬 Measurement:
Load testing with multiple concurrent requests to the
/healthendpoint while simultaneously requesting an/ai-voicegeneration. Prior to this change, the health checks would hang until the generation finished. Now, they return immediately. You can verify this logic directly inbackend/main.py.PR created automatically by Jules for task 7830573953371600428 started by @Deepaksingh7238