FOR AI ENGINEER
Trace prompts without manual processes
A self-hostable observability platform for LLM applications, streamlining monitoring and debugging for AI engineers.
WHAT IT DOES
Open-source LLM observability & tracing toolkit handles the work for you
Tracks prompt and response interactions seamlessly.
Evaluates output quality across diverse models.
Monitors token costs, reducing operational expenses.
Debugs agent behavior with precision.
BUILT FOR
Made for AI engineer
AI engineers seeking streamlined LLM observability.
LLM developers optimizing performance and costs.
Machine learning teams enhancing application reliability.
THE OLD WAY
Before Open-source LLM observability & tracing toolkit
Manual tracking of LLM application performance.
Inconsistent output quality across models undetected.
High operational costs from unmonitored 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.