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Chrome DevTools for AI agents — capture, view, and debug agent traces

Project description

AgentX 🔍

Chrome DevTools for AI agents. Capture, view, and debug your agent traces.

Install

pip install agentx

Usage

from agentx import trace

@trace(output_dir="./traces")
def my_agent(prompt):
    response = call_llm(prompt)
    tool_output = call_tool("search", {"query": "something"})
    return response

Then view your traces:

agentx serve ./traces

Opens a browser at http://localhost:8766 with a timeline view of every LLM call and tool call.

Features

  • 🎯 @trace decorator — one line, captures everything
  • ⏱️ Timeline view — expandable entries with durations
  • 🔢 Token tracking — prompt vs completion, per-call and totals
  • 🔍 Search & filter — find specific calls by type or keyword
  • 📊 Stats sidebar — steps, tokens, duration, LLM/tool breakdown
  • 💾 JSONL traces — portable, version-controllable

Coming Soon

  • Replay — re-run traces against a different model
  • Step-through — breakpoints and prompt injection
  • Diff view — compare two runs side by side

Built by SG1 Labs — small, useful tools. One-time purchase. No subscriptions.

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