Langtrace

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Langtrace is an open-source observability tool for LLM applications. It provides real-time tracing, evaluations, and metrics for various LLMs and related frameworks.

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At a glance

Pricing

open-source

Free tier

Yes

API

—

Skill level

Technical

About

What is langtrace?

Langtrace is an open-source observability solution specifically designed for Large Language Model (LLM) applications. Built upon the Open Telemetry standard, it offers comprehensive real-time tracing capabilities, allowing developers to monitor the execution flow of their LLM-powered systems. The tool also provides evaluations and metrics for popular LLMs, LLM frameworks, and vector databases, giving insights into performance and behavior. Langtrace supports integration through Typescript and Python, making it accessible for a wide range of developers working with LLM technologies.

Best used for

Monitoring and debugging the performance and behavior of Large Language Model (LLM) applications in real-time.

Common actions

Monitor LLM applications

Debug LLM performance

Evaluate LLM models

Track LLM metrics

Integrate observability

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Capabilities

Key features

Open-source observability
Real-time tracing
LLM evaluations
Metrics for LLMs
Typescript/Python integration

Target Audience

AI/ML DevelopersSoftware EngineersData Scientists

Integrations

Not yet documented

Pricing & Plans

open-source

Free

FAQs

Since Langtrace is open-source, are there any hidden costs or limitations I should be aware of for production use?

Langtrace is genuinely open-source and free to use without hidden costs. However, you will incur costs for the underlying observability backend (e.g., OpenTelemetry collectors, tracing storage like Jaeger/Tempo, or commercial APM tools) that you choose to integrate it with.

What kind of LLM evaluations does Langtrace provide out-of-the-box, and can I add custom evaluation metrics?

Langtrace offers built-in evaluations and metrics for popular LLMs, frameworks, and vector databases, focusing on performance and behavior. While specific out-of-the-box metrics are detailed in its documentation, its open-source nature generally allows for custom metric integration, though this may require development effort.

How does Langtrace integrate with my existing observability stack if I'm already using OpenTelemetry?

Langtrace is built upon the OpenTelemetry standard, meaning it's designed to seamlessly integrate with your existing OpenTelemetry collectors and backends. It emits traces and metrics in a compatible format, allowing you to leverage your current observability infrastructure for LLM monitoring.

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