
What is Langtrace?
Langtrace is an Open Source Observability and Evaluations Platform for AI Agents. It helps transform AI Prototypes into Enterprise-Grade Products by providing observability and evaluations to measure performance and iterate towards better performance and safety with AI agents. Langtrace supports frameworks like CrewAI, DSPy, LlamaIndex & Langchain, and a wide range of LLM providers and VectorDBs out of the box. It offers simple setup, vital metrics tracking, API request exploration, and prompt version control.
How to use Langtrace?
To set up Langtrace, create a project and generate an API key, then install the appropriate SDK and instantiate Langtrace with the API key. The SDK can be accessed with 2 lines of code in Python and TypeScript.
Langtrace’s Core Features
Open Source Observability and Evaluations Platform Simple non-intrusive setup Track Vital Metrics Explore API Requests Evaluations Prompt Version Control Enterprise-grade Security
Langtrace’s Use Cases
- Improve the performance and security of AI agents
- Measure baseline performance and curate datasets for automated evaluations and finetuning
- Store and version control prompts
- Compare the performance of prompts across different models
- Deploy AI apps safely with enterprise-grade security
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