FOR AI ENGINEERS
Trace prompts and evaluate outputs
A self-hostable platform to trace prompts, evaluate outputs, and monitor costs in LLM applications
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WHAT IT DOES
Comprehensive insights into model behavior
Open-source LLM observability & tracing toolkit provides a self-hostable platform to trace prompts, evaluate outputs, and monitor costs in LLM applications. Unlike other solutions, it supports OpenAI, Anthropic, and open-source models, giving AI engineers comprehensive insights into their models' behavior.
BUILT FOR
Made for AI engineer
AI Engineers
Gain full observability and control
LLM Developers
Streamline debugging processes
Machine Learning Teams
Enhance application performance
THE OLD WAY
Before Open-source LLM observability & tracing toolkit
- Manual processes for tracking prompts and responses
- Inconsistent output quality across various models
- High operational costs from untracked token usage
- Difficulty diagnosing agent behavior issues
Open-source LLM observability & tracing toolkit replaces all of this.
QUESTIONS
Common questions
What problem does Open-source LLM observability & tracing toolkit solve?
Managing and debugging LLM applications is challenging due to opaque prompt-response interactions and unpredictable token costs.
Who is Open-source LLM observability & tracing toolkit for?
Open-source LLM observability & tracing toolkit is built for AI engineers, including LLM developers and machine learning teams.
GET STARTED
Join the early access program
We'll email you when this ships. No spam.