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Langtrace.ai

β˜…4.4
πŸ’¬864
πŸ’²Free

Langtrace.ai is an open-source platform that provides observability and evaluation tools for AI agents. It enables developers to monitor, evaluate, and improve the performance and security of their AI systems using integrated support for major AI frameworks and LLM providers.

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Platform
web
AI AgentsAPI TracingCrewAIDSPyEvaluationsGenAILLM

What is Langtrace.ai?

Langtrace.ai is an open-source observability and evaluations platform designed for AI agents. It helps developers and teams transform AI prototypes into enterprise-grade products by providing tools to measure performance, track metrics, and ensure safety with AI agents. Langtrace supports popular frameworks like CrewAI, DSPy, LlamaIndex, and Langchain, along with a wide range of LLM providers and VectorDBs. It offers features such as simple setup, API request exploration, prompt version control, and enterprise-grade security.

Core Technologies

  • Open Source Observability Platform
  • AI Agent Evaluation Tools
  • LLM Integration
  • Vector Database Support
  • API Tracing
  • Prompt Version Control
  • Security Protocols

Key Capabilities

  • Track vital metrics for AI agents
  • Explore API requests
  • Perform evaluations on AI models
  • Version control for prompts
  • Ensure enterprise-grade security
  • Support for multiple AI frameworks

Use Cases

  • Improving the performance and security of AI agent applications
  • Curating datasets for automated evaluations and fine-tuning
  • Storing and managing prompt versions for consistent results
  • Comparing model performance across different prompts
  • Deploying secure AI applications with SOC2 Type II certification

Core Benefits

  • Measure and improve the performance of AI agents
  • Ensure security with enterprise-grade protocols
  • Track and analyze critical metrics in real time
  • Compare prompt performance across different models
  • Simplify integration with popular AI frameworks

Key Features

  • Open source observability and evaluations platform
  • Simple non-intrusive setup process
  • Track vital metrics for AI agent performance
  • Explore and analyze API requests
  • Conduct evaluations on AI models
  • Manage and version control prompts
  • Enterprise-grade security with private protocols

How to Use

  1. 1
    Create a project and generate an API key
  2. 2
    Install the appropriate SDK for your programming language
  3. 3
    Instantiate Langtrace with the generated API key
  4. 4
    Use the SDK with just two lines of code in Python or TypeScript

Frequently Asked Questions

Q.What’s the best way to improve the performance and security of my AI agents?

A.You need a combination of observability and evaluations to measure performance and iterate towards better performance and safety with your AI agents. Langtrace is the best platform out there that can help you do this with minimal effort.

Q.How do I set up Langtrace?

A.You can set up Langtrace by following these steps: - Create a project and generate an API key - Follow the instructions to install the appropriate SDK and instantiate Langtrace with the API key.

Q.What frameworks do you support?

A.Langtrace supports CrewAI, DSPy, LlamaIndex, and Langchain. We also support a wide range of LLM providers and VectorDBs out of the box.

Pros & Cons (Reserved)

βœ“ Pros

  • Open source: customizable, auditable, and allows contributions
  • Supports popular LLMs, frameworks, and vector databases
  • Simple and quick integration
  • Provides observability and evaluations for AI agents
  • Enterprise-grade security with private protocols and SOC2 Type II certification

βœ— Cons

  • May require some technical expertise to set up and configure
  • Ongoing maintenance and updates are community-dependent

Alternatives

No alternatives found.