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Latitude

Open Source
• Updated Jun 30, 2026, 03:29 PM

Latitude is an open-source observability and evaluation platform tailored for AI agents built on large language models.

Use Cases ▼
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Monitoring AI agent performance in production

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Debugging agent failures by tracing step-by-step execution

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Clustering similar failure patterns to identify systemic issues

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Auto-generating evaluation sets for regression testing

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Evaluating agent behavior across different prompts and environments

06

Performance regression detection for agent updates

What Problem It Solves ▼

AI agents often fail silently in production, with limited visibility into what went wrong. Latitude solves this by providing deep observability into agent trajectories, automatically clustering failures into actionable issues, and generating evaluation datasets from real-world data, making it easier for teams to monitor, debug, and improve their agents.

Key Features ▼
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Free and open source

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Built on OpenTelemetry for standardized tracing

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Automatic issue clustering saves debugging time

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Auto-generated evals from production failures

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Improves agent reliability and observability

Overview

Latitude is an open-source observability and evaluation platform tailored for AI agents built on large language models. It integrates with OpenTelemetry to capture detailed traces of agent runs, including step-by-step interactions, tool calls, and decision points. This data enables developers to visualize agent behavior in production, identify bottlenecks, and debug unexpected outcomes. By clustering similar failures into issues, Latitude automatically groups related errors, reducing the manual effort required to sift through logs and allowing teams to focus on the most impactful problems. Additionally, the platform auto-generates evaluation cases directly from production failures, turning real-world anomalies into reusable test suites that can be integrated into CI/CD pipelines to prevent regressions and improve agent reliability over time.

Pros & Cons

Pros

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Free and open source

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Built on OpenTelemetry for standardized tracing

+

Automatic issue clustering saves debugging time

+

Auto-generated evals from production failures

+

Improves agent reliability and observability

Cons

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Requires self-hosting and setup

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Limited to LLM-based agents

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May have a learning curve for OpenTelemetry integration

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Relatively new project, potentially limited community

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Documentation might be sparse

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