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MONITOR, EVALUATE & IMPROVE
YOUR LLM APPS


LANGTRACE IS AN OPEN-SOURCE OBSERVABILITY TOOL THAT COLLECTS AND ANALYZES TRACES
AND METRICS TO HELP YOU IMPROVE YOUR LLM APPS.

Start for FreeBook a Demo

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SIMPLE NON-INTRUSIVE SETUP

ACCESS THE LANGTRACE SDK WITH 2 LINES OF CODE

PythonTypeScript
from langtrace_python_sdk import langtrace

langtrace.init(api_key=<your_api_key>)


SUPPORTS POPULAR LLMS, FRAMEWORKS AND VECTOR DATABASES

OpenAI

Anthropic

Perplexity

Groq

Cohere

Langchain

LlamaIndex

See All


WHY LANGTRACE?


OPEN-SOURCE & SECURE

Langtrace can be self-hosted and supports OpenTelemetry standard traces, which
can be ingested by any observability tool of your choice, resulting in no vendor
lock-in.


END-TO-END OBSERVABILITY

Get visibility and insights into your entire ML pipeline, whether it is a RAG or
a fine-tuned model with traces and logs that cut across framework, vectorDB and
LLM requests.


ESTABLISH A FEEDBACK LOOP

Annotate and create golden datasets with traced LLM interactions, and use them
to continuously test and enhance your AI applications. Langtrace includes
built-in heuristic, statistical, and model-based evaluations to support this
process.


BUILD AND DEPLOY WITH CONFIDENCE


RUN EVALUATIONS TO IMPROVE THE ACCURACY OF YOUR AI APPLICATION HOLISTICALLY AND
EFFICIENTLY.


TRACK THE TOKEN USAGE, COSTS, AND PERFORMANCE OF VARIOUS LLMS SIMULTANEOUSLY


TRACE REQUESTS, DETECT BOTTLENECKS, AND OPTIMIZE PERFORMANCE WITH TRACES.


DEVELOP, TEST, ITERATE AND VERSION PROMPTS SEAMLESSLY.


LATEST FROM LANGTRACE

Monitoring & Tracing DSPy with Langtrace

Automatic tracing of DSPy based applications using Langtrace

Integrating Langtrace with Inspect AI

Langtrace now has first party support for Inspect AI, an open source evaluations
framework that is super flexible to use.

How To Evaluate LLM Powered Applications

How to evaluate LLMs, and LLM powered applications


BUILT BY A WORLD CLASS TEAM OF BUILDERS FROM




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