Lookspan v0.4.0 adds datasets and experiments for LLM app evaluation

Lookspan, a local-first observability tool for LLM applications, has released version 0.4.0, introducing datasets and experiments for evaluating LLM outputs. This new version allows users to define test sets, run batches through their applications, and use an LLM-as-judge feature to score results, providing quantifiable metrics for prompt improvements. The tool captures LLM call traces, including prompts and responses, and enables replaying and diffing these traces to catch regressions, all while keeping data local to the user's machine. AI

IMPACT Enhances LLM development workflows by providing local, quantifiable evaluation capabilities for prompt and model changes.

RANK_REASON This is a new release of a software tool for LLM application development.

Read on dev.to — LLM tag →

• LLM
• Lookspan

• product
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →