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EvalOps Workbench

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OverviewDashboardPrototypeReal eval loopTelemetry/api/statsCapabilitiesMVP scopeRoadmapStage + plan

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Prototype

Developer Tool · LLM

Built by eleventh.Explore the fleet · 6 systems
Capabilities

Capabilities

MVP scope and target audience for EvalOps Workbench

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Prototype
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
  • 5Inspect runs case-by-case and persist shareable reports
  • 6Gate releases on regression thresholds
Built for

Agent builders, prompt engineers, applied AI teams

Stack
Initial direction — subject to refinement once the MVP is exercised against real workload.
Python
Argparse CLI
DuckDB
OpenTelemetry