Capabilities
MVP scope and target audience for EvalOps Workbench
Researching
Developer Tool
LLM
EvalOps Workbench
A local-first evaluation harness for prompts, tools, and agents with regression tracking and experiment history.
Problem
LLM teams lack a lightweight way to compare prompt and tool changes before shipping.
Why now
Evaluation is moving from optional best practice to baseline engineering hygiene.
MVP scope
What ships first. Each item is a hard commitment, not a stretch goal.
- 1Load datasets from JSON or CSV
- 2Run prompt or agent variants
- 3Score outputs with rubric functions
- 4Compare runs and export regressions
Built for
Agent builders, prompt engineers, applied AI teams
Stack
Initial direction — subject to refinement once the MVP is exercised against real workload.
Python
Typer
DuckDB
OpenTelemetry