Updated April 2026

Pydantic AI for Multi-Agent Systems

Pydantic · MIT · primary language python · token-overhead ×1.0

15-axis capability scores

  • Sequential workflows8/10
  • Parallel workflows6/10
  • Hierarchical workflows6/10
  • Adaptive workflows7/10
  • State management6/10
  • Human-in-the-loop5/10
  • Python support10/10
  • TypeScript support0/10
  • .NET / Java support0/10
  • MCP support6/10
  • A2A support3/10
  • Observability8/10
  • Deployment flexibility8/10
  • Maturity6/10
  • Learning curve (higher = easier)8/10

Tokens per task

Pydantic AI carries a ×1.0 token overhead multiplier against a 1.0 baseline (LangGraph). For a workload of 50,000 tasks per month at 15,000 base tokens, that is roughly 750.0M tokens per month before HITL or multi-agent fan-out.

Run the wizard for a calibrated estimate against your workload and chosen model.

Run the selector with your workload

Starter scaffold

Buzzi ships a 2-agent hello-world ZIP for Pydantic AI (Dockerfile, pinned deps, README, MIT licence). Generated when you complete the wizard.

Closest alternatives

Ready to commit to Pydantic AI?

Run the wizard, download the scaffold, and book a 30-minute scoping call with Buzzi.ai.

Start the selector