LangWatch

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Introduction: Monitor, Evaluate & Optimize your LLM performance with 1-click.
Added on: Jan 20, 2025
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LangWatch

What is LangWatch

LangWatch empowers AI teams to ship 10x faster with quality assurance at every step. It provides a scientific approach to LLM quality, automates the process of finding the best prompt and models using Stanford’s DSPy framework, and offers an easy drag-and-drop interface for team collaboration.

How to Use LangWatch

  1. Measure Performance: Use LangWatch to evaluate your LLM pipeline at every step.
  2. Optimize: Leverage DSPy optimizers to automatically find the best prompts and models.
  3. Collaborate: Use the drag-and-drop interface to work with your team and domain experts.
  4. Monitor: Track quality, latency, cost, and debug messages and outputs.
  5. Integrate: Deploy LangWatch in your tech stack and use it with any LLM model.

Use Cases of LangWatch

LangWatch is designed for AI teams looking to improve the performance and reliability of their LLM applications. It helps in monitoring, evaluating, and optimizing LLM pipelines, ensuring quality assurance, and speeding up the development process.

Features of LangWatch

  • Measure

    A scientific approach to LLM quality, allowing teams to evaluate performance at every step.

  • Maximize

    Automatically find the best prompt and models using Stanford’s DSPy framework.

  • Easy

    Drag-and-drop interface for team collaboration, making it easy to work with domain experts.

FAQs from LangWatch

1

What is LangWatch?
LangWatch is a platform that helps AI teams monitor, evaluate, and optimize the performance of their LLM applications.
2

How does LangWatch improve LLM performance?
LangWatch uses a scientific approach to measure LLM quality and leverages DSPy optimizers to automatically find the best prompts and models.
3

Can I use LangWatch with any LLM model?
Yes, LangWatch is compatible with all LLM models and can be integrated into any tech stack.