Project files¶

This project contains the following files.

README.md: This file
pydanticai.API.ipynb: notebook describing core PydanticAI APIs
pydanticai.example.ipynb: notebook with applied, end-to-end examples
requirements.txt: Python dependencies used by this tutorial
example_dataset/: supporting markdown files used in examples
- api.md
- billing.md
- integrations.md
- limits.md
- overview.md
- security.md
- support.md
- troubleshooting.md
Docker/dev runtime files
- Dockerfile
- docker_build.sh
- docker_bash.sh
- docker_jupyter.sh
- docker_exec.sh
- docker_cmd.sh
- docker_clean.sh
- docker_push.sh
- docker_name.sh
- version.sh
- run_jupyter.sh
- etc_sudoers

Setup and Dependencies¶

Building and Running the Docker Container¶

Go to the project directory:
```
> cd tutorials/tutorial_pydanticAI
```
Build Docker image:
```
> ./docker_build.sh
```
Run container shell:
```
> ./docker_bash.sh
```
Launch Jupyter Notebook:
```
> ./docker_jupyter.sh
```

Environment Setup¶

Set the OPENAI_API_KEY environment variable for API access:

import os
os.environ["OPENAI_API_KEY"] = "<your_openai_api_key>"