Langsmith Trace Analyzer

🌐Community
by lubu-labs · vlatest · Repository

Langsmith Trace Analyzer dissects LLM traces to pinpoint performance bottlenecks and identify areas for optimization, boosting efficiency.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add langsmith-trace-analyzer npx -- -y @trustedskills/langsmith-trace-analyzer
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "langsmith-trace-analyzer": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/langsmith-trace-analyzer"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The langsmith-trace-analyzer skill analyzes LangSmith traces to identify potential issues and areas for improvement in agent workflows. It can pinpoint inefficiencies, errors, or unexpected behavior within a sequence of actions taken by an AI agent. This allows developers to debug complex agent interactions and optimize performance.

When to use it

  • Debugging Agent Errors: When your agent is failing unexpectedly, use this skill to examine the trace and identify the exact step causing the problem.
  • Performance Optimization: If your agent's execution time is too long, analyze traces to find bottlenecks in specific tools or steps.
  • Understanding Complex Workflows: Gain a deeper understanding of how an agent navigates a task by visualizing its entire decision-making process through trace analysis.
  • Identifying Unexpected Tool Usage: Detect if the agent is using tools in ways you didn't intend, potentially indicating issues with prompt design or tool configuration.

Key capabilities

  • Trace Analysis: Provides detailed insights into individual steps within a LangSmith trace.
  • Error Identification: Highlights potential errors and failures during execution.
  • Performance Bottleneck Detection: Identifies slow or inefficient steps in the agent workflow.
  • Visualization: Presents traces in a structured, easily understandable format.

Example prompts

  • "Analyze this LangSmith trace ID: [trace_id] and tell me what went wrong."
  • "Show me all the tools used in this trace and their execution times."
  • "Can you identify any potential performance bottlenecks in this agent's workflow based on this trace?"

Tips & gotchas

  • Requires access to LangSmith traces. Ensure your agents are configured to log traces within LangSmith for analysis.

Tags

🛡️

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Details

Version
vlatest
License
Author
lubu-labs
Installs
12

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Passed automated security scans.