Vellum

Overview

Vellum is an observability platform for AI applications that tracks model performance, costs, and behavior across different providers. It provides monitoring, debugging, and evaluation tools to help teams understand and improve their LLM-powered systems.

Best for

Best for
Teams building LLM applications who need to monitor performance, debug issues, and evaluate model outputs across providers.

Use cases

• Monitor latency and token usage across multiple LLM providers
• Debug unexpected model outputs with trace logs and prompt history
• Run offline evaluations to compare model versions before deployment

Notes

Vellum is an observability platform for AI applications that tracks model performance, costs, and behavior across different providers. It provides monitoring, debugging, and evaluation tools to help teams understand and improve their LLM-powered systems.

Use cases

• Monitor latency and token usage across multiple LLM providers
• Debug unexpected model outputs with trace logs and prompt history
• Run offline evaluations to compare model versions before deployment

Pros

• Centralizes observability across different LLM providers
• Supports both real-time monitoring and offline evaluation
• Open source community edition available

Cons

• Requires integration setup for each application
• Limited to LLM-focused observability, not general application monitoring
• Community edition may lack advanced enterprise features

Indexed from awesome-llmops and enriched against its public facts.