Langtrace.ai
Langtrace is an open-source observability tool for monitoring, evaluating, and optimizing large language model applications with real-time insights and detailed performance metrics.
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https://www.langtrace.ai/
Product Information
Updated:09/09/2024
What is Langtrace.ai
Langtrace.ai is a comprehensive platform designed to enhance AI applications by providing end-to-end observability for large language models (LLMs). It offers a suite of tools for tracing, annotating, evaluating, and improving LLM-powered applications. As an open-source solution, Langtrace supports popular LLMs, frameworks, and vector databases, allowing developers to gain deep visibility into their entire machine learning pipeline. The platform is built on OpenTelemetry standards, ensuring compatibility with various observability tools and avoiding vendor lock-in.
Key Features of Langtrace.ai
Langtrace.ai is an open-source observability tool for monitoring, evaluating, and optimizing large language model (LLM) applications. It offers end-to-end tracing, real-time insights, performance metrics, and automated evaluations. The platform includes an SDK for easy integration, a web dashboard for analysis, and supports popular LLMs, frameworks, and vector databases. It can be self-hosted and is compatible with OpenTelemetry standards.
End-to-end Tracing: Provides visibility into the entire ML pipeline, including framework, vectorDB, and LLM requests.
Automated Evaluations: Offers built-in heuristic, statistical, and model-based evaluations to continuously test and improve AI applications.
Annotation Capabilities: Allows users to annotate and create golden datasets from traced LLM interactions for ongoing improvement.
Performance Metrics: Tracks cost and latency at project, model, and user levels for comprehensive performance analysis.
Prompt Playground: Enables comparison of prompt performance across different models to optimize LLM usage.
Use Cases of Langtrace.ai
AI Application Development: Helps developers monitor and improve the performance of LLM-powered applications during development and production.
LLM Performance Optimization: Allows businesses to analyze and optimize the cost, latency, and accuracy of their LLM implementations.
Continuous AI Model Improvement: Enables teams to establish feedback loops for ongoing enhancement of AI models and applications.
AI Security and Compliance: Assists organizations in maintaining oversight and ensuring compliance in their AI systems through comprehensive tracing and evaluation.
Pros
Open-source and self-hostable, providing flexibility and avoiding vendor lock-in
Comprehensive suite of tools for monitoring, evaluation, and optimization
Easy integration with popular LLMs, frameworks, and vector databases
SOC 2 Type II certified for enhanced security
Cons
May require technical expertise to set up and fully utilize all features
As a relatively new tool, it may have a smaller community compared to more established solutions
How to Use Langtrace.ai
Sign up for Langtrace: Go to https://langtrace.ai/signup to create an account and generate an API key for your project.
Install the Langtrace SDK: Install the Langtrace SDK in your project using pip install langtrace-python-sdk for Python or npm install langtrace-js-sdk for JavaScript.
Initialize Langtrace in your code: Import and initialize Langtrace at the beginning of your script, before any LLM module imports: from langtrace_python_sdk import langtrace; langtrace.init(api_key='<LANGTRACE_API_KEY>')
Integrate with your LLM application: Langtrace will automatically trace LLM, VectorDB, and framework-level requests once initialized. No additional code changes are needed for basic tracing.
View traces in dashboard: Log into the Langtrace web dashboard to view and analyze the automatically generated traces and metrics for your LLM application.
Annotate and evaluate: Use the dashboard to manually annotate traces, create golden datasets, and run automated evaluations on your LLM outputs.
Set up continuous monitoring: Configure alerts and ongoing evaluations to continuously monitor and improve your LLM application's performance over time.
Langtrace.ai FAQs
Langtrace.ai is an open-source observability tool that collects and analyzes traces and metrics to help monitor, evaluate, and improve LLM (Large Language Model) applications. It provides end-to-end visibility into ML pipelines, including RAG systems and fine-tuned models.
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Analytics of Langtrace.ai Website
Langtrace.ai Traffic & Rankings
12.7K
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#2022820
Global Rank
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Traffic Trends: Jun 2024-Aug 2024
Langtrace.ai User Insights
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User Bounce Rate
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VN: 23.91%
FR: 11.21%
GB: 7.84%
IN: 7.48%
Others: 12.33%
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