pydantic-collab
VerifiedOrchestrate collaborative AI agent teams using predefined topologies and shared context.
What is pydantic-collab?
Pydantic-collab is an open-source library for creating teams of AI agents that collaborate without manual oversight. It provides ready-made graph structures so agents can pass tasks, request input from peers, or fully transfer control while maintaining shared memory throughout a session.
Developers define agents with system prompts and connect them using topologies such as sequential pipelines or hub-and-spoke stars. The library handles tool calls versus handoffs automatically and includes utilities to visualize the resulting agent graph.
It targets teams building multi-stage workflows like ticket triage, document review, or cross-domain analysis where different expertise must interact in a repeatable way.
Capabilities
What you can build with pydantic-collab
Incident Postmortem Analysis
Chain agents to build timelines, identify root causes, and generate action items from logs in one automated flow.
Feature Specification Review
Use a central coordinator to gather input from engineering, design, and support reviewers before producing a final recommendation.
Vendor Security Evaluation
Let security, engineering, and legal agents exchange perspectives on compliance, integration effort, and contract terms.
Install pydantic-collab
pip install pydantic-collabpip install pydantic-collab- 1Install the package with pip install pydantic-collab
- 2Import PipelineCollab and CollabAgent from pydantic_collab
- 3Create agents by supplying names and system prompts
- 4Instantiate a topology such as PipelineCollab with your model string
- 5Call run_sync with the input and print the final output
Works with
pydantic-collab: pros & cons
Pros
- +Clean abstractions for common multi-agent patterns
- +Native Pydantic-AI and Logfire support
- +Built-in graph visualization and memory sharing
- +Clear distinction between consultation and full handoff
Cons
- –Tied to Pydantic-AI model providers
- –Requires explicit topology choice upfront
- –Visualization and memory features add setup overhead for simple cases
Frequently asked questions
Yes, it is built as a native extension of Pydantic-AI and uses its model interface and observability tools.
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