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Latitude

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Open-source observability for AI agents and production traces

网站：https://latitude.so/
收录时间：2026年7月13日
月访问量：
69.4K
社交与联系：
AI agent observabilityAI monitoringLLM evaluationTrace analysisProduction monitoringOpen source
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Latitude
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工具信息

什么是 Latitude？

Latitude is an open-source platform for monitoring, searching, evaluating, and troubleshooting AI agent sessions and production traces. It helps teams analyze agent behavior, discover issues, annotate traces, create evaluations, and run regression tests using real production data.

核心功能

  • AI agent monitoring

    Captures agent trajectories to help teams identify behavior patterns and issues in real traffic.

  • Conversation intelligence

    Analyzes completed sessions for topics, outcomes, escalations, resolutions, abandonments, trust breaks, retries, and tool failures.

  • Trace search

    Searches traces using semantic search, exact-text search, and metadata filters.

  • Automatic issue discovery

    Detects new issues and escalations and can notify teams through Slack, email, or webhooks.

  • Automated evaluations

    Turns identified issues into evaluations that run on new traces.

  • Dataset management

    Creates versioned golden datasets from validated production traces for evaluations and regression testing.

  • Human annotations

    Lets teams add inline feedback to traces, spans, and outputs and convert that feedback into structured signals.

  • Failure mode clustering

    Groups similar failing traces into issues with examples, trends, affected users, and lifecycle information.

  • MCP server

    Allows coding agents to manage projects, traces, annotations, scores, searches, issues, datasets, members, and keys.

  • OpenTelemetry compatibility

    Accepts Latitude SDK telemetry or existing OpenTelemetry pipelines without requiring a proprietary format.

使用场景

  • #1

    Monitor AI agents in production

    Observe real traffic and identify failures or behavior patterns after deployment.

  • #2

    Investigate agent failures

    Search traces, filter cohorts, annotate outputs, and cluster related failure modes for troubleshooting.

  • #3

    Run evaluations and regression tests

    Convert production issues and validated traces into evaluations and versioned datasets.

  • #4

    Support coding-agent workflows

    Connect a coding agent through the MCP server to manage Latitude workspace data without using the user interface.

适用人群：DevelopersTeams building AI agents at scaleTeams responsible for AI agent monitoring and evaluation

定价方案

The official page states that Latitude is Open Source MIT and offers a free start.

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常见问题

What is Latitude?
Latitude is an open-source platform for monitoring, searching, evaluating, and troubleshooting AI agent sessions and production traces.
What can Latitude monitor?
Latitude captures agent trajectories and analyzes completed sessions to identify behavior patterns, conversation outcomes, escalations, retries, tool failures, and other issues.
Does Latitude support trace search?
Yes. Latitude provides semantic search across traces, along with exact-text search and metadata filters.
Can Latitude discover issues automatically?
Yes. Latitude can detect new issues and escalations and notify teams through Slack, email, or webhooks.
Does Latitude support evaluations and regression testing?
Yes. Teams can turn issues into evaluations and create versioned golden datasets from validated production traces for evaluations and regression tests.
Is Latitude compatible with OpenTelemetry?
Yes. Latitude accepts its own SDK telemetry or existing OpenTelemetry pipelines without requiring a proprietary format.
Does Latitude offer an MCP server?
Yes. Its MCP server lets coding agents manage projects, traces, annotations, scores, searches, issues, datasets, members, and keys.
Is Latitude open source?
The official page states that Latitude is Open Source MIT and offers a free start.

Latitude 联系方式与社交媒体

访问官方网站

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工具信息

定价模式Open Source
分类写作
二级分类
AI agent observabilityAI monitoringLLM evaluationTrace analysisProduction monitoringOpen source
语言英语
最后更新2026年7月16日
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