Llm Application Dev Langchain Agent

This one gives Claude expertise in building production LangChain agents with LangGraph state management. It's opinionated about the stack: Claude Sonnet 4.5 for the LLM, Voyage AI embeddings (the officially recommended option), and LangSmith for observability. You get async patterns throughout, multi-agent orchestration with supervisors, hybrid memory systems, and RAG pipelines with reranking. The source includes actual FastAPI deployment code, streaming responses, retry logic, and cost optimization strategies. It's comprehensive enough that you could spin up a production agent system without digging through docs. Best for when you're building real agent applications that need to handle scale and monitoring, not just prototyping in notebooks.