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langtrace

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OpenTelemetry-based observability for LLM applications in Python and TypeScript.

Autonomous AgentsGeneral-Purpose 1.2kOpen source
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Updated 2026-06-15
langtrace GitHub repository

What is langtrace?

Langtrace is an open-source observability solution built on OpenTelemetry for monitoring LLM applications from start to finish.

It supplies real-time tracing together with evaluations and metrics that cover popular LLMs, frameworks, and vector databases.

Developers working in Python or TypeScript can add it to gain visibility into their LLM stacks.

What you can build with langtrace

LLM tracing

Capture detailed traces of calls made to large language models during runtime.

Performance evaluation

Run evaluations on LLM outputs to measure quality and consistency.

Vector database metrics

Collect metrics from vector databases used alongside LLM frameworks.

Install langtrace

Quick start
# For TypeScript/JavaScript
npm i @langtrase/typescript-sdk

# For Python
pip install langtrace-python-sdk
  1. 1Install the package for your language via pip or npm.
  2. 2Import the Langtrace client in your Python or TypeScript code.
  3. 3Initialize the client with your project credentials.
  4. 4Wrap your LLM calls to begin automatic tracing.
  5. 5View traces, evaluations, and metrics in the dashboard.

langtrace: pros & cons

Pros

  • +Fully open-source with no vendor lock-in
  • +Built on the OpenTelemetry standard for broad compatibility
  • +Covers tracing, evaluations, and metrics in one tool
  • +Supports both Python and TypeScript integrations

Cons

  • Requires manual integration into existing codebases
  • Limited to languages explicitly listed (Python and TypeScript)
  • No built-in support mentioned for other programming languages
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An open-source, OpenTelemetry-based tool that provides end-to-end observability for LLM applications.

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