Open-source, self-hosted AI observability platform for tracing, evaluating, and debugging LLM applications and agents.
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What is it?
Latitude is an open-source observability platform for LLM applications and AI agents. Telemetry is added with a short SDK setup or OpenTelemetry, and every LLM call, multi-turn session and tool call is recorded as a trace.
Failing traces are grouped automatically into tracked signals that show status, volume and trend. From a signal, Latitude can dispatch a coding agent such as Claude Code or Cursor with the relevant traces and context, and that agent can write a fix and open a pull request. Fixes are then replayed against the original failing traces through regression datasets and monitors.
The project is written in TypeScript and provides a UI, an MCP server and a CLI. It can be self-hosted with Docker Compose or Kubernetes via a Helm chart, and Python is supported alongside TypeScript.
Key features
- 01Captures LLM calls, multi-turn sessions and tool calls as traces via SDK or OpenTelemetry.
- 02Groups failing traces automatically into signals with status, size and trend.
- 03Dispatches coding agents like Claude Code and Cursor with traces and context to fix issues.
- 04Replays fixes against real failing traces with regression datasets and monitors.
- 05Provides an MCP server and CLI so the same actions are available from a coding agent.
- 06Can be self-hosted via Docker Compose or Kubernetes Helm chart.
Use cases
- Finding out which user requests or agent workflows are failing in a production LLM app.
- Letting a coding agent pick up recurring agent failures and open a fix PR.
- Preventing previously fixed agent failures from returning through regression tests.
- Running a self-hosted observability stack for AI agents on your own infrastructure.
Quick start
- 1
Sign up at latitude.so and get your API key and project slug
- 2
Install the TypeScript telemetry package
npm install @latitude-data/telemetry - 3
Initialize the Latitude client with your LLM SDK as shown in the README example
Things to know
- Full use needs a Latitude account and API key, and the free tier has a 30-day data retention limit.
- Self-hosting requires running the Docker Compose or Kubernetes deployment yourself.
Topics
FAQ
- What is latitude-llm?
- Open-source observability for AI agents that groups failing traces, dispatches coding agents to fix them, and replays fixes against real traces. Latitude is an open-source observability platform for LLM applications and AI agents. Telemetry is added with a short SDK setup or OpenTelemetry, and every LLM call, multi-turn session and tool call is recorded as a trace.
- Is latitude-llm free to use? What license does it have?
- latitude-llm is open source under the MIT license. Check the license terms before using it in commercial products.
- Is latitude-llm still maintained?
- Actively maintained. The last commit to latitude-llm was on Oct 21, 2026.
- What can I use latitude-llm for?
- Finding out which user requests or agent workflows are failing in a production LLM app. Letting a coding agent pick up recurring agent failures and open a fix PR. Preventing previously fixed agent failures from returning through regression tests. Running a self-hosted observability stack for AI agents on your own infrastructure.
- How do I install latitude-llm?
- Sign up at latitude.so and get your API key and project slug Install the TypeScript telemetry package: npm install @latitude-data/telemetry Initialize the Latitude client with your LLM SDK as shown in the README example
- Where can I get latitude-llm?
- The source code and installation instructions are on GitHub: https://github.com/latitude-dev/latitude-llm
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