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What is Latitude?

Latitude is an AI agent observability and monitoring tool designed to automatically detect and diagnose failures in AI agents deployed in production. Built by Latitude S.L., it addresses the challenge of AI agents not only crashing but also hallucinating, losing context, or returning incorrect answers confidently. The platform provides automatic failure clustering without requiring manual configuration, enabling users to identify and analyze issues quickly. It generates continuous evaluations from real failures and builds golden datasets from validated traces to improve monitoring accuracy. Latitude is ideal for developers, AI teams, and organizations deploying AI agents who need deeper insights beyond traditional logging to ensure reliability and performance.

AI Tool Review Summary

Performance Score

4.5/5

Content/Output Quality

Accurate, detailed, and actionable

Interface

Intuitive and developer-focused

AI Technology
LLMNLP
Purpose of Tool

To provide automatic observability and failure detection for AI agents in production.

Compatibility

Integrates with AI agent projects via OpenTelemetry and GitHub skills, fitting into modern AI development workflows.

Pricing

Freemium with paid tiers offering advanced monitoring features.

Features

Features with the highest value for users are highlighted here.

Automatic failure detection

Failure clustering without configuration

Continuous evaluation generation

Custom alert notifications

Golden dataset creation

Trace filtering by error type and model

Integration with production AI agents

User feedback clustering

Who Is It For?

AI Developers

Machine Learning Engineers

Product Managers

QA Teams

Startups

Enterprises

AI Researchers

DevOps Teams

Data Scientists

Technical Support

Pricing

Free

$0/monthly
  • Basic failure detection
  • Automatic issue clustering
  • Limited evals and alerts
Popular

Pro

$49/monthly
  • Unlimited failure detection
  • Advanced evals and golden datasets
  • Custom alerting and integrations
  • Priority support

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Pros & Cons

Pros

  • Automatically identifies complex AI agent failures beyond simple crashes.
  • Enables continuous monitoring with real-time alerts and evaluations.

Cons

  • May require initial validation of discovered issues to ensure accuracy.
  • Focused primarily on AI agent observability, less suited for general logging.

FAQs

Just Launched

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Rating

5.0

Pros

Cons

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