
Langtrace AI
Monitor, evaluate & improve your LLM apps

Langtrace AI is an open-source observability tool powered by Scale3 Labs that helps monitor, evaluate, and improve LLM (Large Language Model) applications. It collects and analyzes traces and metrics to provide insights into the ML pipeline, ensuring security through SOC 2 Type II certification. Langtrace supports popular LLMs, frameworks, and vector databases, offering end-to-end observability and the ability to build and deploy AI applications with confidence.
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Features
- Advanced Security with SOC 2 Type II Certification
- Non-intrusive setup with 2 lines of code access
- Support for popular LLMs, frameworks, and vector databases
- End-to-end observability across ML pipeline
- Built-in heuristic, statistical, and model-based evaluations
Advantages
- Open-source and self-hosted option
- Supports OpenTelemetry standard traces
- No vendor lock-in for observability tools
- Provides visibility and insights into AI applications
- Enables continuous testing and enhancement of AI applications
Disadvantages
- May require technical expertise to fully utilize
- Limited to monitoring and improving LLM applications
- Complex setup for detailed evaluations
Frequently Asked Questions
-
Q:Is Langtrace AI open-source?
A:Yes, Langtrace AI is an open-source observability tool. -
Q:What security certifications does Langtrace have?
A:Langtrace is SOC 2 Type II certified for advanced security. -
Q:Can Langtrace be self-hosted?
A:Yes, Langtrace can be self-hosted and supports OpenTelemetry standard traces.
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