langsmith-fetch

npx skills add ComposioHQ/awesome-claude-skills --skill langsmith-fetch --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# LangSmith Fetch - Agent Debugging Skill Debug LangChain and LangGraph agents by fetching execution traces directly from LangSmith Studio in your terminal. ## When to Use This Skill Automatically activate when user mentions: - 🐛 "Debug my agent" or "What went wrong?" - 🔍 "Show me recent traces" or "What happened?" - ❌ "Check for errors" or "Why did it fail?" - 💾 "Analyze memory operations" or "Check LTM" - 📊 "Review agent performance" or "Check token usage" - 🔧 "What tools were called?" or "Show execution flow" ## Prerequisites ### 1. Install langsmith-fetch ```bash pip install langsmith-fetch ``` ### 2. Set Environment Variables ```bash export LANGSMITH_API_KEY="your_langsmith_api_key" export LANGSMITH_PROJECT="your_project_name" ``` **Verify setup:** ```bash echo $LANGSMITH_API_KEY echo $LANGSMITH_PROJECT ``` ## Core Workflows ### Workflow 1: Quick Debug Recent Activity **When user asks:** "What just happened?" or "Debug my agent" **Execute:** ```bash langsmith-fetch traces --last-n-minutes 5 --limit 5 --format pretty ``` **Analyze and report:** 1. ✅ Number of traces found 2. ⚠️ Any errors or failures 3. 🛠️ Tools that were called 4. ⏱️ Execution times 5. 💰 Token usage **E

pip install langsmith-fetch
export LANGSMITH_API_KEY="your_langsmith_api_key"
export LANGSMITH_PROJECT="your_project_name"
echo $LANGSMITH_API_KEY
echo $LANGSMITH_PROJECT
langsmith-fetch traces --last-n-minutes 5 --limit 5 --format pretty
langsmith-fetch trace <trace-id> --format json
Create session folder with timestamp
mkdir -p "$SESSION_DIR"
Export traces