langsmith-trace
LANGSMITH_API_KEY=lsv2_pt_your_api_key_here # REQUIRED
LANGSMITH_PROJECT=your-project-name # Optional: default project
LANGSMITH_WORKSPACE_ID=your-workspace-id # Optional: for org-scoped keys
Authentication is REQUIRED: either set the LANGSMITH_API_KEY environment variable, or pass the --api-key flag to CLI commands (preferred):
langsmith trace list --project my-project --api-key $LANGSMITH_API_KEY
IMPORTANT: Always check the environment variables or .env file for LANGSMITH_PROJECT before querying or interacting with LangSmith. This tells you which project contains the relevant traces and data. If the LangSmith project is not available, use your best judgement to identify the right one.
More from langchain-ai/skills-benchmarks
react-components
Modern React component patterns with hooks and TypeScript
34api-docs
OpenAPI documentation and REST API design patterns
22testing-patterns
Unit testing and integration testing best practices
22langchain-rag
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).
22langchain-fundamentals
Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.
22langchain-oss-primer
ALWAYS START HERE for any LangChain, Deep Agents, or LangGraph agent building project. Required starting point before choosing other skills or writing any code. Covers framework selection (LangChain vs LangGraph vs Deep Agents), agent archetypes, dependency setup, and which skills to load next based on your decisions.
22