langchain-chat-websockets
LangChain LLM chat with streaming response over websockets
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
72views this month
Decision brief
Async live chat with streaming responses over websockets using FastAPI and OpenAI API.
Good fit when
- Need async, real-time chat response functionality integrated via websocket connections.
- Using Docker for deployment simplifies setup across different environments.
Avoid when
- Project doesn't require asynchronous interaction or streaming responses over websockets.
- Prefer alternatives that allow customization beyond FastAPI and OpenAI integration.
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (1024d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- 50 low (50 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/pors/langchain-chat-websocketsSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A repository that provides an implementation of LangChain for facilitating asynchronous live chat responses via websocket connections, leveraging the FastAPI framework and OpenAI's API.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
- Languages
- html
Source: github.language · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
To run the LangChain chat application using Docker Compose, follow these steps:Source link
Source: README excerpt (regex_v1, Sep 20, 2026)
3. Open the newly created `.env` file in a text editor and add your OpenAI API key:Source link
Tags
README
Run with Docker Compose To run the LangChain chat application using Docker Compose, follow these steps: 1. Make sure you have Docker installed on your machine. 2. Create a file named file 3. Open the newly created file in a text editor and add your OpenAI API key: Replace with yo...
For agents
This page has a .md twin and JSON over the API.