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Latitude

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Latitude is an open-source AI agent observability and monitoring platform for tracing production sessions, detecting issues, and verifying fixes.

Latitude

Overview

Latitude is an open-source AI agent observability and monitoring platform. It is designed to help teams inspect real production traffic, find what is failing, and verify that a fix actually worked after deployment.

The product centers on traces, session search, issue detection, and evaluation workflows. It can connect through its SDK or an existing OpenTelemetry pipeline, and it adds tools for clustering similar failures, annotating traces, and turning production examples into repeatable evals.

Features

OTEL-compatible tracing

Capture traces from Latitude's SDK or by pointing an existing OpenTelemetry pipeline at the platform, so traces can flow in without a proprietary format.

Conversation intelligence

Analyze completed sessions to identify what the conversation was about, what happened, and where escalations, abandonments, retries, tool failures, or trust breaks occurred.

Conversation search and filtering

Search across 100% of traces using semantic search, exact text, and metadata filters to narrow down real examples quickly.

Automatic issue discovery and alerts

Detect new issues or escalations and route alerts to Slack, email, or webhooks so teams can respond before users complain.

Evals and dataset management

Turn validated production issues into evals, build versioned golden datasets, and run regression checks against new traces.

Human annotations and review

Leave inline feedback on traces, spans, or outputs, and use the resulting structured annotations in search, clustering, and eval workflows.

Use cases

  • Debug production agent behavior

    Inspect production traces to understand what an agent actually did during a session, including messages, tool calls, errors, and other failure signals.

  • Investigate patterns in user conversations

    Search across all conversations to find cohorts of real examples that match a question, a release window, or a particular failure pattern.

  • Monitor for regressions and escalations

    Detect issues as they appear, cluster similar failures, and send alerts to the team so problems can be triaged before they spread.

  • Verify fixes with regression checks

    Convert a validated production issue into an eval backed by real examples, then rerun it against new traces after shipping a fix.

  • Coordinate review and quality workflows

    Use annotations, datasets, and issue clustering to keep review work structured across a team working on AI agents.

Pros and Cons

Pros

  • Open-source and positioned for AI agent monitoring.
  • Works with an existing OpenTelemetry pipeline, which reduces lock-in.
  • Supports semantic search across all traces rather than sampled data.
  • Combines observability with evals, datasets, annotations, and issue clustering in one workflow.
  • Offers a free Starter plan and paid tiers for teams that need more capacity or support.

Cons

  • The source does not provide a full documented integration list beyond OpenTelemetry plus Slack, email, and webhooks.
  • The pricing page names plan tiers and support levels, but not every usage limit or billing detail is shown in the source provided.

FAQ

Is Latitude free to start with?

Latitude is set up to monitor AI agents and surface issues from production traces. The pricing page also indicates a free Starter plan and paid Pro and Enterprise options.

What kind of data does Latitude work with?

The source says Latitude captures traces, searches conversations, discovers issues, and supports telemetry through an SDK or an existing OpenTelemetry pipeline.

How does Latitude notify teams about issues?

The homepage says it can send issue alerts to Slack, email, or webhooks, and the pricing page notes Slack support on the Starter plan and priority support on Pro.

What core workflows does Latitude support?

The homepage says Latitude offers observability, session search, conversation intelligence, issue discovery, automated evals, dataset management, human annotations, advanced filters, and failure mode clustering.

Quick Facts

Category
AI agent observability and monitoring
Product type
Open-source platform
Primary users
Teams building AI agents
Website
latitude.so
Pricing
Free Starter plan; paid Pro and Enterprise tiers
Key integrations
OpenTelemetry, Slack, email, webhooks