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The debugger for AI agents — add 2 lines, replay every run, get the plain-English root cause and exact fix in 30 seconds.

Project description

vorlo-trace

The debugger for AI agents. Add 2 lines of code to see exactly which step of your agent failed, the plain-English root cause, and the exact fix — in 30 seconds.

Quick Start

pip install vorlo-trace
import vorlo_trace
from langchain.agents import create_tool_calling_agent, AgentExecutor

# 1. Initialize Vorlo (or set VORLO_API_KEY env var)
vorlo_trace.init(api_key="vrlo_your_key_here", agent_name="my-agent")

# 2. Add the handler to your agent
handler = vorlo_trace.get_handler()
result = agent_executor.invoke(
    {"input": "Check my latest emails"},
    config={"callbacks": [handler]}
)

That's it. Open vorlo.dev to see every step your agent took, with:

  • Step Replay — chronological view of every tool call
  • Root Cause — plain English explanation, not raw HTTP errors
  • Fix Hints — specific, actionable steps to resolve the issue
  • LLM Reasoning — why the agent made each decision

What You See

Without Vorlo:

ToolError: 403

With Vorlo:

Stripe token expired after retry chain caused stale auth context.
Your Stripe OAuth token was issued 23h ago — Stripe tokens expire at 24h.
Fix: Reconnect your Stripe account in Settings → Integrations.

How It Works

Vorlo wraps your agent's callback system. It captures:

  1. Every tool call (input, output, latency)
  2. Every LLM reasoning step (chain of thought)
  3. Every error (translated to plain English with fix hints)
  4. Cross-step context (what data flowed between steps)

All sends are fire-and-forget — Vorlo never slows or crashes your agent, even if the Vorlo server is unreachable.

Features

  • 2-line integration — works with any LangChain agent
  • Sensor/Actuator classification — reads vs writes, clearly labeled
  • Cross-step root cause — understands data flow between steps
  • OTel-compatible — trace_id, span_id for enterprise export
  • Zero impact — async sends, daemon threads, silent failures

MCP server — debug from inside your editor

The package ships an MCP server (vorlo-mcp), so Claude Code / Cursor / any MCP client can ask Vorlo "why did my last run fail?" without leaving the editor:

pip install vorlo-trace
claude mcp add vorlo --env VORLO_API_KEY=vrlo_... -- vorlo-mcp
# or without installing first:
claude mcp add vorlo --env VORLO_API_KEY=vrlo_... -- uvx --from vorlo-trace vorlo-mcp

Tools: why_did_my_last_run_fail, get_session_diagnosis, list_recent_sessions, get_failure_clusters.

Configuration

vorlo_trace.init(
    api_key="vrlo_...",             # or set VORLO_API_KEY env var
    server_url="https://...",       # or set VORLO_SERVER_URL env var
    agent_name="order-processor",   # shown in dashboard
    verify_ssl=True,                 # or set VORLO_VERIFY_SSL=false for local proxy testing
)

Environment Variables

Variable Description
VORLO_API_KEY Your Vorlo API key
VORLO_SERVER_URL Custom server URL (default: production)
VORLO_VERIFY_SSL Set to false only for local corporate proxy testing
VORLO_DEBUG Set to 1 for debug logging to stderr

License

MIT — see LICENSE

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