Langtrace

Overview

Langtrace is an open-source observability software that lets you capture, debug and analyze traces and metrics from all your applications, automatically capturing traces from LLM APIs/inferences, Vector Databases, and LLM-based Frameworks.

OpenTelemetry Integration

Langtrace leverages OpenTelemetry standard traces across the most popular frameworks, LLMs, and vector databases to better understand the pathways and transformations within your LLM applications.

Key Features

• Built with OpenTelemetry standards, avoiding vendor lock-in
• Integration with any observability platform: Signoz, Grafana, Datadog, Splunk, Logz
• Native tracing for over 30 popular providers
• Open source SDKs for capturing OpenTelemetry traces from LLM frameworks, vectorDBs and LLM providers
• End-to-end observability for LLM-powered applications
• Data privacy protection through self-hosting capability

Semantic Conventions

Actively developing semantic conventions for:

• LLM clients
• Vector databases
• Agentic frameworks

Recent Contributions

First official OpenAI instrumentation package that is part of the official OpenTelemetry contrib repository is live, contributed by Langtrace.

Enterprise Features

Fully open sourced, enterprises can self-host and leverage Langtrace for end-to-end observability while protecting data privacy and ensuring effective use of underlying LLMs.