Problem
Operational pain, made explicit.
LLM teams lack a lightweight way to compare prompt and tool changes before shipping.
Why Now
Built for a market that already feels the gap.
Evaluation is moving from optional best practice to baseline engineering hygiene.
Core Capabilities
Focused scope, credible surface area.
Load datasets from JSON or CSV
Designed as a production-facing workflow instead of a throwaway demo path.
Run prompt or agent variants
Designed as a production-facing workflow instead of a throwaway demo path.
Score outputs with rubric functions
Designed as a production-facing workflow instead of a throwaway demo path.
Compare runs and export regressions
Designed as a production-facing workflow instead of a throwaway demo path.
Stack Direction
Implementation posture
- Python
- Typer
- DuckDB
- OpenTelemetry
Local Entry Points
Minimal interface, easy to demo
uv run evalops-workbench summary
uv run evalops-workbench capabilities
uv run evalops-workbench roadmap
vercel deploy -y