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.