docbuddy 0.6.0

Add an AI Assistant to your `/docs` page.

Documentation Buddy

Add an AI assistant to your /docs page.

Try the Standalone Demo

Installation

pip install docbuddy

Run the standalone page locally with the command:

docbuddy --port 9000

Python Integration

from fastapi import FastAPI
from docbuddy import setup_docs

app = FastAPI()
setup_docs(app)  # replaces default /docs

That's it! Visit /docs

API Explorer	Chat Interface

Workflow Panel	LLM Settings

Features

• 💬 Chat interface with full OpenAPI context
• 🤖 LLM Settings panel with local providers (Ollama, LM Studio, vLLM, Custom)
• 🔗 Tool-calling for API Requests
• 🎨 Dark/light theme support

Using the Chat

Ask questions like:

• "What endpoints are available?"
• "Create a curl cmd for adding a new user"
• "Ping health"

Enable tool calling in the settings to allow the assistant to make API requests on your behalf.

Standalone Mode

If you prefer manual control, run DocBuddy from the repo root:

1. Run python3 -m http.server 8080 from the repo root
2. Visit in your browser http://localhost:8080/docs/index.html

Note: Due to browser security restrictions (CORS), if you want to use local LLMs (Ollama, LM Studio, vLLM), you must run DocBuddy locally instead of from the GitHub Pages hosted version.

LLM Settings

1. Choose your local LLM provider (Ollama, LM Studio, vLLM, or Custom)
2. Enter the API endpoint for your LLM (e.g. http://localhost:1234/v1 for LMStudio)
3. Verify that the plugin can connect to your LLM provider and select a model from the drop down after.
4. Enable tool calling if you want the assistant to make API requests on your behalf.

Some local LLM providers will require users to enable CORS in their API settings to allow the plugin to connect.

Demo Server

uvicorn examples.demo_server:app --reload --host 0.0.0.0 --port 3333

Development

pip install -e ".[dev]"

pytest tests/
pre-commit run --all-files