pydantic-work 0.1.0

A local-first chat UI for Pydantic AI agents

Pydantic Chat

A local-first chat UI for your Pydantic AI agents.

uvx pydantic-chat <module>:<agent variable>

# e.g. uvx pydantic-chat src.my_agent:agent

What is it?

Pydantic Chat provides a beautiful web interface for interacting with your Pydantic AI agents. Your agent runs locally on your machine, and the chat UI can be accessed either via localhost or through a secure remote URL.

Installation

# Install with uv (recommended)
uv tool install pydantic-chat

# Or install in development mode
cd agent
uv pip install -e ".[cli]"

Requirements

You need to have an API key from at least one supported LLM provider:

# Anthropic (Claude)
export ANTHROPIC_API_KEY="your-key-here"

# OpenAI (GPT)
export OPENAI_API_KEY="your-key-here"

# Google (Gemini)
export GOOGLE_API_KEY="your-key-here"

# Mistral
export MISTRAL_API_KEY="your-key-here"

# Groq
export GROQ_API_KEY="your-key-here"

Recommended: Add your API key to a .env file:

# .env
ANTHROPIC_API_KEY="your-key-here"

Then source it before running:

source .env && pydantic-chat your_module:agent

Usage

# Basic usage
pydantic-chat module.path:agent_variable

# Example
pydantic-chat chatbot.agent:agent

# Localhost-only mode (skip remote registration)
pydantic-chat --localhost chatbot.agent:agent

# Custom port
pydantic-chat --port 8000 chatbot.agent:agent

How It Works

1. Local Server: Your agent runs on your machine with a FastAPI server
2. Remote Access (Optional): On first run, you'll be prompted to choose a project slug (e.g., my-project)
3. Two URLs: Access your chat via:
   • Local: http://127.0.0.1:PORT
   • Remote: https://your-project.pydantic.work/ (if registered)

Your agent code and data never leave your machine. The remote URL just provides the frontend.

Example Agent

# src/my_agent.py
from pydantic_ai import Agent

agent = Agent(
    'anthropic:claude-sonnet-4-0',
    instructions="You are a helpful assistant."
)

@agent.tool_plain
def get_current_time() -> str:
    """Get the current time."""
    from datetime import datetime
    return datetime.now().strftime("%I:%M %p")

Run it:

export ANTHROPIC_API_KEY="your-key-here"
pydantic-chat src.my_agent:agent

Configuration

On first run, Pydantic Chat creates .pydantic-chat/config.json in your project directory with your slug, token, and port. This folder is automatically added to .gitignore.

Patterns

Multiple Projects

Each project directory gets its own config, so you can run multiple agents with different slugs:

cd project-a && pydantic-chat agent:agent  # -> project-a.pydantic.work
cd project-b && pydantic-chat agent:agent  # -> project-b.pydantic.work

Environment Files

Keep your API keys in a .env file at the project root:

# .env
ANTHROPIC_API_KEY="sk-ant-..."
OPENAI_API_KEY="sk-..."

# AVOID committing credentials to your repository
echo -e "\n.env" >> .gitignore

Troubleshooting

No API keys found: Export at least one supported API key before running.

Failed to load agent: Check that your module path is correct (module.path:variable_name).

Registration failed: The server will automatically fall back to localhost mode. Use --localhost to skip registration entirely.

Slug already taken: Choose a different slug when prompted. Slugs are globally unique.

Links

• Pydantic AI Documentation
• Pydantic