langsmith-dataset

SKILL.md

Create, manage, and upload evaluation datasets to LangSmith for testing and validation.

Supports four dataset types: final_response (full conversations), single_step (individual node behavior), trajectory (tool call sequences), and RAG (question/chunks/answer/citations)

CLI commands for dataset lifecycle management: create, list, get, delete, export, and upload from local JSON files

SDK-based dataset creation in Python and JavaScript with programmatic example addition

Example management commands to add, list, and delete individual examples within datasets

Complete workflow from trace export through processing to LangSmith upload with experiment tracking

LANGSMITH_API_KEY=lsv2_pt_your_api_key_here          # REQUIRED
LANGSMITH_PROJECT=your-project-name                   # Check this to know which project has traces
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 dataset list --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.