DEDUPEDWhat do you want to do?
3 use cases
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Get validated, typed data out of an LLM
Give a Pydantic AI agent an output type and tools so every run returns a checked Pydantic model.
View prompt
Using pydantic/pydantic-ai, build an agent with output_type=<Pydantic model> that extracts <fields> from <input type>. Add a tool that fetches <data>, run it on three examples and show the validated outputs.
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Build your own terminal coding agent in a few lines
Use Pydantic AI Harness's Coder capability to get file access, shell, repo context and sub-agents in one agent.
View prompt
Using pydantic/pydantic-ai and pydantic-ai-harness[coder], create a terminal coding agent on <model> with Coder() and WebSearch(), restrict the shell to an allowlist, and run it on this repo to <task>.
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Make a research agent survive crashes with Temporal
Attach TemporalDurability so the same Pydantic AI agent runs inside a durable Temporal workflow.
View prompt
Using pydantic/pydantic-ai with TemporalDurability, turn my <agent> into a Temporal workflow that writes a brief on a topic. Show me that killing the worker mid-run and restarting it resumes the workflow.
Quick start with Pydantic AI
- Check you have what it needs: Python and uv; An API key for the model provider you choose; Optional extras: pydantic-ai-harness[coder], pydantic-ai[temporal] and a Temporal setup, pydantic-ai[openai-realtime].
- Open pydantic/pydantic-ai on GitHub and read the README and license.
- Install with
uv add pydantic-ai - Define a Pydantic BaseModel for the output, for example a Sentiment with a label and a score between -1 and 1
- Create an Agent with your model string and output_type set to that model
- Add data sources with the @agent.tool decorator; the signature and docstring become the tool schema
These steps come from our top use case, Get validated, typed data out of an LLM, which also has a copy-paste agent prompt.
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Get them freeAbout this repo
- Who it is forPython developers who want type-safe agents with validated structured output, and the option to swap models or add durability later.
- Why it is hot21k stars, talked about in 2 AI sources we track
- LanguagePython
- Sourcegithub.com/pydantic/pydantic-ai ยท Back to Hot repos
Requirements
- Python and uv
- An API key for the model provider you choose
- Optional extras: pydantic-ai-harness[coder], pydantic-ai[temporal] and a Temporal setup, pydantic-ai[openai-realtime]
- Optional: a Logfire account for tracing
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Questions about Pydantic AI
What is Pydantic AI?
Pydantic AI is a typed Python AI SDK from the Pydantic team: an agent loop where any model is a string swap away, tools and outputs are validated, and the same agent can run as a coding agent, a data extractor, a durable Temporal workflow or a realtime voice session. Pydantic AI Harness adds capabilities such as file access, shell, repo context and sub-agents, Pydantic Evals grades outputs and tool trajectories, and Logfire instruments every run. It is an open-source project on GitHub: https://github.com/pydantic/pydantic-ai.
How do I use Pydantic AI?
Install with uv add pydantic-ai; then Define a Pydantic BaseModel for the output, for example a Sentiment with a label and a score between -1 and 1; create an Agent with your model string and output_type set to that model. The use cases on this page give the full steps and a copy-paste agent prompt for each job.
Who is Pydantic AI for?
Python developers who want type-safe agents with validated structured output, and the option to swap models or add durability later.
What can I do with Pydantic AI?
3 use cases so far, for example: Get validated, typed data out of an LLM; Build your own terminal coding agent in a few lines; Make a research agent survive crashes with Temporal. Each has steps and a copy-paste agent prompt.
What do I need to run Pydantic AI?
Python and uv; An API key for the model provider you choose; Optional extras: pydantic-ai-harness[coder], pydantic-ai[temporal] and a Temporal setup, pydantic-ai[openai-realtime]; Optional: a Logfire account for tracing.
What are alternatives to Pydantic AI?
Other hot AI repos in Software and DevOps: Deep Infer, Thinkrail, ECC, Instructor, Aider.
Is Pydantic AI safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.