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From Convenience to Agency: LangChain's Structured Outputs and Tool Calling
편의 도구에서 지능형 플랫폼으로: LangChain의 구조화된 출력과 도구 호출
Why it matters
This deep dive reveals how structured outputs and tool calling transform LangChain from a convenience wrapper into a platform for building genuinely intelligent agents. By combining reliable JSON extraction through Pydantic models with autonomous function invocation, developers can create systems where the LLM independently decides which actions to take—essential for production-grade AI applications. Mastering these concepts is the bridge between simple prompt-response patterns and agent-based architectures.
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LangChainStructured OutputsTool CallingClaudePydantic