examples/integrations/pydantic-ai/README.md
This is a starter template for building AI agents using PydanticAI and CopilotKit. It provides a modern Next.js application with an integrated investment analyst agent that can research stocks, analyze market data, and provide investment insights.
# Using npm (default)
npm install
# Using pnpm
pnpm install
# Using yarn
yarn install
# Using bun
bun install
Note: This will automatically setup the Python environment as well.
If you have manual issues, you can run:
shnpm run install:agent
Create a .env file in the project root with the following content:
OPENAI_API_KEY=sk-...your-openai-key-here...
# Using npm (default)
npm run dev
# Using pnpm
pnpm dev
# Using yarn
yarn dev
# Using bun
bun run dev
This will start both the UI and agent servers concurrently.
The following scripts can also be run using your preferred package manager:
dev - Starts both UI and agent servers in development modedev:debug - Starts development servers with debug logging enableddev:ui - Starts only the Next.js UI serverdev:agent - Starts only the PydanticAI agent serverbuild - Builds the Next.js application for productionstart - Starts the production serverinstall:agent - Installs Python dependencies for the agentThe main UI component is in src/app/page.tsx. You can:
Feel free to submit issues and enhancement requests! This starter is designed to be easily extensible.
This project is licensed under the MIT License - see the LICENSE file for details.
If you see "I'm having trouble connecting to my tools", make sure:
If you encounter Python import errors:
cd agent
uv sync
uv run src/main.py