LangWatch by LangWatch | AI Agents

Agent framework

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By LangWatch

LangWatch is a cutting-edge **AI quality and analytics platform** designed to enhance the safety, performance, and reliability of **Generative AI (GenAI)** models. With over 25 years of experience in the software industry, the team behind LangWatch addresses the critical need for comprehensive quality control and real-time monitoring in the rapidly evolving AI sector.

Features

LangWatch comes equipped with a suite of features that facilitate the optimization, assessment, and monitoring of AI models. These features include tools for pipeline optimization, quality assurance, advanced analytics, and stringent safety protocols. Below is a detailed overview of its key features:

Feature	Description
Optimization Studio	Drag-and-drop interface for LLM pipeline optimization based on Stanford's DSPy framework, enabling automatic prompt generation and visual experiment tracking.
Quality Assurance	Includes over 30 off-the-shelf evaluators, a custom evaluation builder, full dataset management, and built-in compliance and safety checks.
Monitoring & Analytics	Real-time tracking of costs and performance, detailed debugging, customizable user analytics and business metrics, and tailored dashboards and alerts.
Safety Protocols	Includes automated monitoring systems for security breaches, enhanced data encryption methods, and regular updates to safety features.

Use cases

LangWatch can be employed in various scenarios, including:

AI Model Development: Developers can utilize the Optimization Studio to streamline the training and evaluation processes of their models, ensuring optimal performance before deployment.
Quality Control in Production: Businesses can implement the quality assurance tools to regularly assess AI outputs and ensure compliance with industry standards.
Real-Time Monitoring: Organizations can track user interactions and performance metrics in real-time, enabling immediate adjustments based on analytics.
Enhanced Security Measures: Companies can benefit from the safety protocols to protect sensitive data and maintain compliance with regulatory requirements.

How to get started

To get started with LangWatch, interested users can explore their official website for more information. They may also contact the team for a trial or request access to a GitHub repository if available. Detailed documentation and support resources are typically provided to facilitate onboarding and usage.

LangWatch Pricing

Pricing information for LangWatch is not available.

Features

Feature

Description

Optimization Studio

Drag-and-drop interface for LLM pipeline optimization based on Stanford's DSPy framework, enabling automatic prompt generation and visual experiment tracking.

Quality Assurance

Includes over 30 off-the-shelf evaluators, a custom evaluation builder, full dataset management, and built-in compliance and safety checks.

Monitoring & Analytics

Real-time tracking of costs and performance, detailed debugging, customizable user analytics and business metrics, and tailored dashboards and alerts.

Safety Protocols

Includes automated monitoring systems for security breaches, enhanced data encryption methods, and regular updates to safety features.

Use cases

LangWatch can be employed in various scenarios, including:

AI Model Development: Developers can utilize the Optimization Studio to streamline the training and evaluation processes of their models, ensuring optimal performance before deployment.

Quality Control in Production: Businesses can implement the quality assurance tools to regularly assess AI outputs and ensure compliance with industry standards.

Real-Time Monitoring: Organizations can track user interactions and performance metrics in real-time, enabling immediate adjustments based on analytics.

Enhanced Security Measures: Companies can benefit from the safety protocols to protect sensitive data and maintain compliance with regulatory requirements.

How to get started