From 79e364a0ee130841cbde40472e1a50dc0802d360 Mon Sep 17 00:00:00 2001 From: grillazz Date: Thu, 22 Oct 2026 12:01:37 +0200 Subject: [PATCH 1/2] feat: add documentation for websocket AI chat service in README --- README.md | 60 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 60 insertions(+) diff --git a/README.md b/README.md index c560ab9..94e8864 100644 --- a/README.md +++ b/README.md @@ -33,6 +33,7 @@
  • Testing Strategy
  • UV knowledge and inspirations
  • Integration with local LLM
    • +
  • Websocket AI chat service
  • High Availability sample with nginx as load balancer
  • Performance Profiling with Pyinstrument
    • @@ -179,6 +180,65 @@ ollama run llama3.2

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    +### Websocket AI chat service +A general-purpose, websocket-based chat service lives at `/v1/chat/ws`, built with FastAPI 0.139.0 +and Pydantic models for every message shape exchanged over the wire. It follows the +[Pydantic AI chat-app](https://github.com/pydantic/pydantic-ai/blob/main/docs/web.md) interaction +pattern - a session id, role-labeled messages, and streamed assistant chunks - so a UI can be wired +up later without changing the backend contract. + +**Module layout** +- `app/schemas/chat.py` — Pydantic `BaseModel`s for `ChatMessage` (role/content) and the + client/server websocket event envelopes (discriminated on a `type` field). +- `app/services/chat_agent.py` — the pluggable async `ChatAgent` adapter `Protocol`, a + dependency-free `LocalEchoAgent` stub (default, no API keys/network required), and an + `OllamaChatAgent` example that streams from an OpenAI-compatible `/chat/completions` endpoint. +- `app/services/chat_session.py` — a small in-memory `ChatSessionManager` tracking one + `ChatSession` (id + message history) per open websocket connection. +- `app/api/chat.py` (re-exported as `app/ws.py`) — the `/ws` websocket route implementing the + chat flow. + +**Lifespan wiring**: `app/main.py`'s `lifespan` builds the configured `ChatAgent` via +`build_chat_agent(settings.chat)` and a fresh `ChatSessionManager` on startup (`app.chat_agent` +/ `app.state.chat_sessions`), and calls `chat_agent.aclose()` on shutdown to release any held +connections. + +**Configuration** (`ChatConfig` in `app/config.py`, all overridable via environment variables): + +| Env var | Default | Description | +| --- | --- | --- | +| `CHAT_BACKEND` | `stub` | `stub` (local echo, no network) or `ollama` (OpenAI-compatible streaming) | +| `CHAT_BASE_URL` | `http://localhost:11434/v1` | Base URL used by the `ollama` backend | +| `CHAT_MODEL` | `llama3.2` | Model name sent to the `ollama` backend | +| `CHAT_STREAM_DELAY` | `0.02` | Per-word delay (seconds) the stub uses to emulate token streaming | + +**Example websocket flow** (one JSON object per text frame): +``` +-> (connect to ws://localhost:8080/v1/chat/ws) +<- {"type": "connected", "session_id": "..."} +-> {"type": "start", "system_prompt": "You are a helpful assistant."} +<- {"type": "started", "session_id": "..."} +-> {"type": "user_message", "content": "Hello there"} +<- {"type": "assistant_chunk", "index": 0, "content": "Hello "} +<- {"type": "assistant_chunk", "index": 1, "content": "there! "} +<- {"type": "assistant_message", "message": {"role": "assistant", "content": "Hello there! "}} +-> {"type": "history_request"} +<- {"type": "history", "messages": [...]} +-> {"type": "end"} +``` + +**Swapping in a real model**: implement the `ChatAgent` protocol (an async `stream_reply(messages)` +generator yielding text chunks, plus `aclose()`) in a new class - e.g. wrapping the OpenAI SDK - and +return it from `build_chat_agent` for a new `backend` value. No changes are needed in +`app/api/chat.py` or the session manager. + +Run the tests for this service locally with: +```shell +pytest tests/api/test_chat_ws.py -vv +``` + +

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    + ### HA sample with nginx as load balancer Sample high availability setup with nginx as load balancer and 2 uvicorn instances running on different ports. ```shell From 74dcffd4c64a482dd96cceda8add888a5a3525cc Mon Sep 17 00:00:00 2001 From: grillazz Date: Thu, 22 Oct 2026 12:01:54 +0200 Subject: [PATCH 2/2] chore: update project dependencies and description in pyproject.toml --- pyproject.toml | 49 +-- uv.lock | 1128 ++++++++++++++++++++++++++---------------------- 2 files changed, 629 insertions(+), 548 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 9ccfcc5..9b88b57 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,50 +1,51 @@ [project] name = "fastapi-sqlalchemy-asyncpg" version = "3.0.0" -description = "A modern FastAPI application with SQLAlchemy 2.0 and AsyncPG for high-performance async database operations. Features include JWT authentication with Redis token storage, password hashing, connection pooling, data processing with Polars, Rich logging, task scheduling with APScheduler, and Shakespeare datasets integration." +description = "A modern FastAPI application with SQLAlchemy 2.1 and AsyncPG for high-performance async database operations. Features include JWT authentication with Redis token storage, password hashing, connection pooling, data processing with Polars, Rich logging, task scheduling with APScheduler, and Shakespeare datasets integration." readme = "README.md" requires-python = ">=3.14,<3.15" dependencies = [ - "fastapi==0.139.2", - "pydantic[email]==2.13.4", - "pydantic-settings==2.14.2", - "sqlalchemy==2.0.51", - "uvicorn[standard]==0.51.0", - "asyncpg==0.31.0", - "alembic==1.18.5", + "fastapi==0.159.1", + "pydantic[email]==2.14.1", + "pydantic-settings==2.16.1", + "sqlalchemy==2.1.6", + "uvicorn[standard]==0.54.0", + "asyncpg==0.32.0", + "alembic==1.20.1", "httpx==0.28.1", - "uvloop==0.22.1", - "httptools==0.8.0", + "uvloop==0.23.0", + "httptools==0.9.0", "rich==15.0.0", - "pyjwt==2.13.0", - "redis==8.0.1", + "pyjwt==2.15.1", + "redis==8.1.0", "bcrypt==5.0.0", - "polars==1.42.1", + "polars==2.0.0", "python-multipart==0.0.32", - "fastexcel==0.20.2", - "granian==2.7.9", + "fastexcel==0.21.0", + 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