PydanticAIで型安全なAIエージェントを構築する実践ガイド
PydanticAI v1.54を使って型安全なAIエージェントを構築する方法を、動くPythonコード付きで実践解説。構造化出力・依存性注入・ツール定義・MCP連携まで一貫してカバーします。
Marcus has been gluing systems together for twelve years - first as an integrations engineer at Tray.io, then four years at MuleSoft (post-Salesforce acquisition) leading a team that built connectors for regulated-industry customers. He moved full-time into LLM orchestration in 2023 after a side project - an n8n workflow that triaged his consulting firm's intake email - replaced an actual headcount. He focuses on the boring middle layer: idempotent webhook receivers, dead-letter queues for tool-call failures, and getting Temporal to play nicely with OpenAI's Assistants API. He's published two open-source n8n community nodes (one for Pinecone hybrid search, one for Anthropic prompt caching) and contributed retry-backoff improvements to the LangChain JS repo. Lives in Atlanta. Writes about what actually breaks in production agents, not what looks good in a demo.
PydanticAI v1.54を使って型安全なAIエージェントを構築する方法を、動くPythonコード付きで実践解説。構造化出力・依存性注入・ツール定義・MCP連携まで一貫してカバーします。