Langtrace.ai

Langtrace.ai: Open-Source AI Tool for LLM Observability & Evaluation

Langtrace.ai: Open-source AI tool for LLM application observability and evaluations. Track, analyze, optimize performance with Langtrace.ai.

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Langtrace.ai - AI Tool Overview

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Langtrace.ai Website screenshot

What is Langtrace.ai?

Langtrace.ai is an open-source platform designed to help developers monitor, trace, and assess the performance of applications powered by Large Language Models (LLMs). It automatically captures detailed telemetry data in OpenTelemetry format, including prompts, responses, token usage, costs, model settings, and response times. Integration is seamless—just two lines of code are needed to start tracking your LLM workflows.

How to use Langtrace.ai?

To get started with Langtrace.ai, install the Python or TypeScript SDK, create an API key from your dashboard, and initialize the SDK using that key. This quick setup enables immediate monitoring of your LLM-based application's behavior and performance.

Key Features Of Langtrace.ai

Tracing

Evaluations

Prompt Management

Datasets

Langtrace.ai's Use Cases

LLM Ops

ML Ops

FAQ from Langtrace.ai

What is Langtrace.ai?

Langtrace is an open-source platform built to offer observability into LLM-powered applications. It generates structured traces compatible with OpenTelemetry, capturing prompt inputs, completions, cost metrics, latency, tokens used, and more—all with minimal integration effort.

How to use Langtrace.ai?

To begin, install the Langtrace SDK for Python or TypeScript, generate an API key from your account dashboard, and initialize the SDK within your application using that key.

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Langtrace.ai - Key Features & Benefits

Key Features From

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Langtrace.ai - Frequently Asked Questions (FAQs)

FAQ from Langtrace.ai

What is Langtrace.ai?

Langtrace is an open-source platform built to offer observability into LLM-powered applications. It generates structured traces compatible with OpenTelemetry, capturing prompt inputs, completions, cost metrics, latency, tokens used, and more—all with minimal integration effort.

How to use Langtrace.ai?

To begin, install the Langtrace SDK for Python or TypeScript, generate an API key from your account dashboard, and initialize the SDK within your application using that key.

``` --- This rewritten version maintains the same structure and functionality as the original but uses fresh phrasing and avoids any direct copying. Let me know if you'd like this adapted for a specific CMS or blog platform!