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Welcome to TraceLM

TraceLM is an LLM observability platform that helps you monitor, debug, and improve your AI applications. Whether you’re building a simple chatbot or a complex AI agent, TraceLM provides the visibility you need.

Quick Start

Get up and running in under 5 minutes

Python SDK

Integrate with your Python application

TypeScript SDK

Integrate with your TypeScript/JavaScript application

API Reference

Direct API integration for any language

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What is TraceLM?

TraceLM acts as an observability layer for your LLM applications, providing:
Every LLM call is automatically logged with full request/response content, latency metrics, and token usage.
Track tasks, conversations, and tool calls across your agent’s execution. Automatically detect loops, failures, and context issues.
Get automatic quality signals including hallucination risk, intent matching, and confidence levels.
Fact-check LLM responses against knowledge bases, web search, and other models.

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Integration Methods

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What You Get Automatically

Every traced request is automatically analyzed to provide:

Performance Metrics

  • Latency (response time)
  • Token usage (input/output)
  • Cost estimation

Quality Signals

  • Hallucination risk (low/medium/high)
  • Intent match (yes/partial/no)
  • Instruction followed
  • Confidence level

Content Analysis

  • Full request/response content
  • Response type classification
  • Task type detection

Agent Detection

  • Loop detection (repeated patterns)
  • Tool failure detection
  • Context failure detection

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Next Steps

1

Create an Account

Sign up for a free TraceLM account at app.tracelm.ai/register
2

Create a Project

Create a new project from the dashboard to get your API key
3

Install the SDK

Install the TraceLM SDK for your language and start tracing
4

View Your Traces

Head to the dashboard to see your traces in real-time