Langtrace: Open Source Platform for AI Observability and Evaluation

Frequently Asked Questions about Langtrace

What is Langtrace?

Langtrace is an open-source platform designed for AI developers and organizations. It helps users track, analyze, and improve AI models, especially large language models (LLMs). The platform includes SDKs for Python and TypeScript. These SDKs make it easy to add monitoring features into different applications. Users can see real-time data using dashboards that show how well models perform. They can also check token usage, detect issues with response latency, and measure accuracy. Langtrace allows for tracking and comparing prompts, which helps in testing different inputs to improve results. It also offers version control for prompts, so users can keep track of changes and manage updates securely. The platform supports API request tracing, which assists in diagnosing problems and optimizing integrations.

You can use Langtrace for various tasks like monitoring AI model performance, evaluating prompt effectiveness, tracking usage costs, managing prompt versions securely, and integrating AI evaluation into CI/CD pipelines. It is useful across many roles such as AI developers, data scientists, machine learning engineers, AI researchers, and software engineers.

One of the key features of Langtrace is its security. It provides enterprise-grade security, encryption, and compliance features, making it suitable for large organizations. The open-source nature means users can customize the code, contribute to improvements, and audit the platform for transparency.

Pricing details are available on their website, and the platform's features are designed to replace manual tracking methods, ad hoc scripts, and basic dashboards. This makes model management more transparent, efficient, and secure.

Getting started with Langtrace is simple. Users can integrate the SDK into their projects using Python or TypeScript, then use the dashboards and APIs to monitor and evaluate their AI models effectively. Overall, Langtrace enhances AI development by offering a robust, flexible, and secure environment for model evaluation, monitoring, and management, all in an open-source package.

Key Features:

Who should be using Langtrace?

AI Tools such as Langtrace is most suitable for AI Developers, Data Scientists, Machine Learning Engineers, AI Researchers & Software Engineers.

What type of AI Tool Langtrace is categorised as?

What AI Can Do Today categorised Langtrace under:

How can Langtrace AI Tool help me?

This AI tool is mainly made to model monitoring and evaluation. Also, Langtrace can handle monitor performance, evaluate prompts, track token usage, version control prompts & analyze api requests for you.

What Langtrace can do for you:

Common Use Cases for Langtrace

How to Use Langtrace

Integrate the Langtrace SDK into your project using Python or TypeScript, then access dashboards and APIs to monitor, evaluate, and improve your AI models.

What Langtrace Replaces

Langtrace modernizes and automates traditional processes:

Additional FAQs

Is Langtrace open source?

Yes, Langtrace's source code is fully accessible on GitHub for customization and contribution.

What languages does SDK support?

The SDK supports Python and TypeScript.

Can it be used for enterprise deployment?

Yes, it provides enterprise-grade security and compliance features suitable for organizations of any size.

Discover AI Tools by Tasks

Explore these AI capabilities that Langtrace excels at:

AI Tool Categories

Langtrace belongs to these specialized AI tool categories:

Getting Started with Langtrace

Ready to try Langtrace? This AI tool is designed to help you model monitoring and evaluation efficiently. Visit the official website to get started and explore all the features Langtrace has to offer.