Updated 2026年4月
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 相对于 1.0 基线（LangGraph）具有 ×1.0 的 token 开销系数。对于每月 50,000 个任务、15,000 个基础 token 的工作负载，在 HITL 或多智能体扇出之前大约是 每月 750.0M token。
运行向导以根据您的工作负载和所选模型获得校准估算。
Run the selector with your workloadStarter scaffold
Buzzi 为 Pydantic AI 提供 2 智能体 hello-world ZIP（Dockerfile、锁定依赖、README、MIT 许可证）。完成向导时生成。
Closest alternatives
- Haystack
×1.3 overhead · python
- CrewAI
×1.3 overhead · python
- LlamaIndex Agents
×1.4 overhead · python
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