Langtrace.ai

Open Source Platform for Observability and Evaluation of AI Agents

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AI Developer Tools AI Monitor AI Agent Large Language Models (LLMs)AI API AI Productivity Tools

About Langtrace.ai

Langtrace is an open source platform designed for monitoring and evaluating AI agents. It enables transforming prototypes into robust, enterprise-ready solutions by offering comprehensive observability and performance assessments. Supports frameworks like CrewAI, DSPy, LlamaIndex, and Langchain, along with numerous LLM providers and vector databases. Features include easy setup, key metrics tracking, API request analysis, and prompt version control to enhance AI safety and efficiency.

How to Use

To get started with Langtrace, create a project, generate an API key, then install the SDK and initialize Langtrace with your key. The SDK setup is straightforward, requiring just two lines of code in Python or TypeScript.

Features

Easy, non-intrusive setup process
Enterprise-grade security features
API request exploration tools
Comprehensive evaluation capabilities
Open source for customization and transparency
Vital metrics tracking for performance monitoring
Prompt version control management

Use Cases

Secure deployment of AI applications
Version control and storage of prompts
Enhance AI agent security and performance
Compare prompt effectiveness across models
Establish performance baselines and curate datasets for evaluations and fine-tuning

Best For

Enterprises deploying GenAIAI Product ManagersMLOps EngineersAI DevelopersData ScientistsChief Technology Officers

Pros

Provides enterprise-level security with private protocols and SOC2 Type II certification
Quick and simple integration process
Offers detailed observability and evaluation tools for AI agents
Supports popular frameworks, LLMs, and vector databases
Open source for full customization, auditing, and community contributions

Cons

Initial setup may require technical expertise
Community-driven updates mean ongoing maintenance depends on contributors

FAQs

How can I improve the performance and security of my AI agents?

Using observability and evaluation tools helps measure and enhance AI performance and safety. Langtrace simplifies this process, providing effective solutions with minimal effort.

What are the steps to set up Langtrace?

Create a project, generate an API key, install the SDK, and initialize Langtrace with your key. The setup process is quick and straightforward.

Which frameworks does Langtrace support?

Langtrace supports CrewAI, DSPy, LlamaIndex, and Langchain, along with various LLM providers and vector databases.

Is Langtrace suitable for enterprise use?

Yes, it offers enterprise-grade security, compliance, and scalability features suitable for large organizations.

Can I customize and extend Langtrace?

Absolutely. As an open source platform, Langtrace allows full customization, code contributions, and integration with your existing systems.