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pydantic-ai discussion
pydantic-ai reviews and mentions
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12-factor Agents: Patterns of reliable LLM applications
I've been most impressed with Pydantic AI [1], so much so that we ended up building an SDK around it specifically for LLM workflows on Airflow [2].
[1] https://ai.pydantic.dev
[2] https://github.com/astronomer/airflow-ai-sdk
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Building a fully testable Lovable clone agent in Python with Scenario
Let's go, to build this, we are going to use Pydantic AI:
- MCP Run Python
- Airflow AI SDK to build simple LLM workflows
- New Tools for Building Agents
- PydanticAI
- Pydantic.ai: Python agent framework from Pydantic team
- PydanticAI is a Python agent framework by the Pydantic Team
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Applied Artificial Intelligence & its role in an AGI World
While frameworks can accelerate development, they’re inherently reactive. Over-relying on them can hinder your flexibility and limit opportunities to experiment with recent releases. For instance, I’m a big fan of Pydantic AI, a lightweight framework for building agent-driven applications and defined workflows. However, when I needed to experiment with OpenAI’s recent o1 API release, I discovered that Pydantic didn’t yet support it. This posed a critical limitation as the team I was working with was migrating from an o1-mini setup paired with a 4o structured outputs parser to a direct o1 call with structured outputs.
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A note from our sponsor - CodeRabbit
coderabbit.ai | 19 Apr 2025
Stats
pydantic/pydantic-ai is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of pydantic-ai is Python.