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AI · January 8, 2026

Pydantic-AI-stream – Structured event streaming for pydantic-AI agents

Contribute to opale-ai/pydantic-ai-stream development by creating an account on GitHub.

Pydantic-AI-stream – Structured event streaming for pydantic-AI agents launched on January 8, 2026 with 6 votes, #2,272 of 14,584 launches that month and more than 75% of that year's launches.

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What it does

Production runtime for pydantic-ai agents. Provides structured event streaming via Redis Streams, session persistence, and cancellation support. pip install pydantic-ai-stream Quick Start from dataclasses import dataclass from redis . asyncio import Redis from pydantic_ai import Agent from pydantic_ai_stream import Deps , Session , run # 1. Define your deps (includes Redis client) @ dataclass class MyDeps ( Deps ): def get_scope_id ( self ) -> int : return 1 # 2. Implement session persistence @ dataclass class MySession ( Session ): session_id : str async def load ( self ) -> None : pass # Load from your storage async def save ( self ) -> None : pass # Save to your storage # 3. Create agent…from github.com

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