Latitude is an open-source AI agent monitoring platform that provides full observability into AI workflows, allowing developers to track, debug, and optimize agent performance in production.

Is Latitude open-source?

Yes, Latitude is open-source, meaning its source code is freely available for modification and distribution under an open-source license.

What kind of data can Latitude monitor?

Latitude can monitor various aspects of AI agent workflows, including inputs, outputs, latency, errors, and other performance metrics to help debug and optimize agents.

How does Latitude help with debugging?

Latitude provides detailed traces and logs of agent interactions, enabling developers to pinpoint issues like unexpected outputs, slow responses, or errors in real-time production environments.

Can Latitude be integrated with existing AI frameworks?

Yes, Latitude is designed to integrate with popular AI frameworks and can be easily added to existing agent pipelines via its SDK or API.

Is Latitude suitable for production use?

Absolutely, Latitude is built for production environments, offering real-time monitoring, scalability, and minimal performance overhead to ensure reliable observability.

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What is Latitude?

Latitude is an open-source AI agent monitoring platform that provides full observability into AI workflows. It captures agent trajectories, discovers behavior patterns, and helps developers catch issues before users encounter them. The platform analyzes completed sessions to extract conversation context, identify escalations, resolutions, abandonments, trust breaks, retries, and tool failures. It is designed for teams building agents at scale, offering OTEL compatibility and automated issue discovery.

Application scenarios

Customer support agents
Monitor agent conversations to detect escalations, resolutions, and abandonments in real time.
AI workflow debugging
Track and debug agent behavior in production by analyzing failure modes and behavior patterns.
Quality assurance
Automatically discover issues like trust breaks and tool failures, and receive alerts via Slack, email, or webhooks.
Regression testing
Turn any identified issue into an automated eval that runs on every new trace, grounded in real failure examples.
Performance optimization
Use semantic search across 100% of traces to find specific cohorts (e.g., "frustrated users on GPT-5.5 in prod after May release") without sampling.
Team collaboration
Leave inline feedback on any trace, span, or output, turning human judgment into structured, searchable signals.

Core Features

Conversation intelligence
Automatically extracts what conversations were about, what happened, and where issues occurred, flagging escalations, retries, and tool failures.
Session search
Runs semantic search across 100% of traces with no sampling, combined with exact text search and metadata filters to quickly narrow down specific examples.
Automatic issue discovery
Sends alerts when new issues are detected or existing ones escalate, integrating with Slack, email, or webhooks.
OTEL compatibility
Drop in the Latitude SDK or point an existing Open Telemetry pipeline at Latitude to capture traces without proprietary formats or lock-in.
Automated evals
Converts any issue into an eval that runs on every new trace, generated from real examples to stay grounded in actual failure modes.
Dataset management
Automatically builds golden datasets from validated production traces, versioned and ready for evals or regression tests.
Human annotations
Allows inline feedback on any trace, span, or output, turning team judgment into structured, searchable, and clusterable signals.
Advanced filters
Combines semantic search, exact text, and metadata filters to find specific cohorts without writing complex queries.
Failure mode clustering
Groups similar failing traces into a single issue with examples, trends, affected users, and lifecycle, so you triage patterns rather than individual logs.

Target users

Latitude is built for developers and teams building AI agents at scale. It is ideal for engineers, AI product managers, and QA teams who need to monitor, debug, and optimize agent performance in production. The platform is designed for those who want observability without vendor lock-in and appreciate open-source tooling.

How to use Latitude?

Set up telemetry: Paste the provided prompt into your coding agent to set up Latitude's telemetry. It captures messages, cost, tool calls, errors, and more.
Integrate with OTEL: Drop in the Latitude SDK or point your existing Open Telemetry pipeline at Latitude to start receiving traces.
Monitor and discover: Use the dashboard to view conversation intelligence, search sessions, and automatically detect issues.
Turn issues into evals: Convert any identified failure into an automated eval that runs on new traces.
Collaborate: Leave inline annotations on traces and outputs to structure team feedback.
Get started for free: Visit the official website to sign up and begin monitoring in less than 5 minutes.

Effect review

Latitude delivers a practical, developer-focused monitoring solution that addresses the real pain of debugging AI agents in production. The emphasis on open-source compatibility and OTEL integration ensures no vendor lock-in, while features like automated evals and failure mode clustering turn raw traces into actionable insights. The ability to search across 100% of traces without sampling is a standout for teams dealing with high-volume agent traffic. While the platform is clearly powerful for observability, its effectiveness ultimately depends on how well teams adopt its alerting and eval workflows. For developers building agents at scale, Latitude offers a solid, transparent foundation for monitoring and optimization.

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