vstorm-co/summarization-pydantic-ai

Context Management processor for Pydantic AI agents, providing LLM-powered summarization or zero-cost sliding window trimming to handle infinite/long-running conversations without context overflow. Supports flexible triggers, safe cutoffs, and custom prompts for efficient AI apps.

48
/ 100
Emerging

This helps AI agents maintain long, continuous conversations without losing track or hitting technical limits. It takes the full conversation history and either intelligently summarizes older parts or simply trims them, producing a condensed, relevant conversation history. This is for anyone building or managing AI-powered chatbots, virtual assistants, or any application involving extended AI dialogues.

Available on PyPI.

Use this if you need your AI agents to handle ongoing interactions like customer support or coding assistance without forgetting prior context.

Not ideal if your AI application only handles short, one-off interactions where conversation history isn't critical.

AI-chatbots virtual-assistants customer-support-automation long-running-conversations AI-context-management
Maintenance 10 / 25
Adoption 5 / 25
Maturity 20 / 25
Community 13 / 25

How are scores calculated?

Stars

10

Forks

2

Language

Python

License

MIT

Last pushed

Feb 27, 2026

Commits (30d)

0

Dependencies

1

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