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Latitude

AI

Open-source platform for monitoring AI agents: captures traces, surfaces failure patterns, alerts on issues, and helps you verify fixes with automated evals.

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  • Activity score


    88/100
  • Stars


    4,468
  • Forks


    363
  • Last commit


    10 hours ago
  • Repository age


    2 years
  • Version


    typescript-telemetry-4.0.0
  • License


    MIT
  • Self-hosted


    Yes
  • Repository


    latitude-dev/latitude-llm

Latitude is an open-source monitoring platform built specifically for AI agents. It captures everything happening in production, including messages, tool calls, costs, and errors, then helps you understand what's actually going wrong and why. It's aimed at teams building AI agent platforms who need more than raw logs to debug production behavior.

The core idea is full-coverage observability. Latitude runs semantic search across 100% of your traces, no sampling, so you never miss a cohort of failing users. Combine that with exact text search and metadata filters to go from a broad hunch to a focused set of real examples fast.

Key capabilities:

  • Conversation intelligence analyzes completed sessions to extract what happened: escalations, trust breaks, tool failures, retries, and abandonments, then surfaces them as patterns rather than individual log lines.
  • Failure mode clustering groups similar failing traces into a single issue with examples, trends, affected users, and lifecycle. You triage patterns, not one-off events.
  • Automated evals turn any discovered issue into an evaluation that runs on every new trace, generated from real examples so it stays grounded in your actual failure mode.
  • Dataset management builds golden datasets automatically from validated production traces, versioned and ready for regression tests.
  • Alerts via Slack, email, or webhooks notify your team when a new issue appears or an existing one escalates.
  • Human annotations let your team leave inline feedback on any trace, span, or output, turning judgment into structured signal you can search and cluster.

Latitude is OpenTelemetry compatible, so you can point an existing OTEL pipeline at it without adopting a proprietary format. It also exposes an MCP server so coding agents can manage projects, traces, annotations, and datasets without touching the UI. Tools like Helicone and Arize Phoenix cover similar ground, but Latitude's automatic issue discovery and eval generation from production failures is a distinct angle.

It's SOC 2 Type II certified, GDPR compliant, and supports SSO with SAML 2.0, end-to-end encryption, data residency options, and audit logs.

Share:

  • Activity score


    88/100
  • Stars


    4,468
  • Forks


    363
  • Last commit


    10 hours ago
  • Repository age


    2 years
  • Version


    typescript-telemetry-4.0.0
  • License


    MIT
  • Self-hosted


    Yes
  • Repository


    latitude-dev/latitude-llm
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