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    Added 6/5/2026

    Latitude

    Open-source agent observability platform with prompt engineering and auto-evaluation.

    Latitude is profiled here as a Observability tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.

    ObservabilityOpen Source
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    Description

    Short Intro: Latitude (latitude.so) is an open-source agent engineering platform founded in 2022 by César Miguelañez and Gerard Clos under the legal entity Latitude Data S.L. The platform began as a prompt management and evaluation tool before pivoting in 2025 toward agent-native observability — tracing multi-turn sessions, tool calls, and subagent activity in production. The platform is available as a managed cloud service and as a fully self-hosted deployment, with $1.32M in seed funding from CB Insights.

    Key Capabilities:

    • Multi-turn agent tracing with full system prompt, tool call, and subagent visibility per session

    • PromptL, a proprietary prompt language with variables, conditionals, and loops for dynamic prompt logic

    • GEPA (Generative Evaluation from Production Annotations), which auto-generates evaluations from annotated production failures

    • Issue lifecycle tracking from active through in-progress, resolved, and regressed states

    • LLM-as-judge, programmatic, and human review evaluation with batch experiment support

    • AI gateway that deploys prompts as live API endpoints updated on each publish

    • AI coding agent skills for Claude Code, Cursor, and Codex to add tracing in one command

    • Cloud-hosted and self-hosted deployment options under a fully open-source license

    See Latitude Pricing Details →

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    • Datadog

      Unified observability for metrics, traces, and logs

    • Arize AX

      Enterprise platform for AI observability and evaluation

    • OpenTelemetry

      Vendor-neutral standard for traces, metrics, and logs

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