Observability tool for LLM applications
Top 38.1% on sourcepulse
Langtrace provides end-to-end observability for LLM applications, enabling developers to trace, debug, and analyze their AI workflows. It supports real-time monitoring, performance insights, and detailed analytics, integrating with popular LLM providers, vector databases, and frameworks.
How It Works
Langtrace is built on OpenTelemetry (OTEL) standards, ensuring comprehensive and interoperable tracing. It captures data from LLM API calls, vector database operations, and framework interactions, providing a unified view of application performance. The system uses Next.js for its frontend and APIs, with PostgreSQL for metadata and ClickHouse for storing trace data, offering both a managed SaaS and a self-hostable option.
Quick Start & Requirements
npm i @langtrase/typescript-sdk
pip install langtrace-python-sdk
Highlighted Details
Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
The TypeScript SDK has limited support for LLM frameworks compared to the Python SDK. The AGPL-3.0 license for the core application may impose significant restrictions on commercial use and integration into proprietary systems.
3 months ago
Inactive