Skip to content

IMPLEMENTATION.md

Latest commit

 

History

History
172 lines (131 loc) · 5.51 KB

IMPLEMENTATION.md

File metadata and controls

172 lines (131 loc) · 5.51 KB

Implementation Roadmap

This document tracks the implementation progress of the Skills Eval Framework.

Phase 1: Core Framework ✅ COMPLETE

Build the foundational components.

Task Description Status
1.1 Initialize Python project with pyproject.toml, dependencies ✅
1.2 Define data models/schemas (Task, Trial, Result, EvalSpec) ✅
1.3 Implement base Grader interface and code-based graders ✅
1.4 Implement eval Runner that orchestrates task execution ✅
1.5 Implement JSON reporter for results output ✅
1.6 Create CLI entrypoint (waza run, waza init) ✅

Deliverable: ✅ Working CLI that can run basic evals with code-based graders.

Phase 2: Grading System ✅ COMPLETE

Implement the full grading capabilities.

Task Description Status
2.1 Implement trigger accuracy metric (shouldTrigger/shouldNotTrigger) ✅
2.2 Implement task completion metric with assertion-based grading ✅
2.3 Implement LLM-as-judge grader with configurable rubrics ✅
2.4 Implement behavior quality metrics (tool calls, efficiency) ✅
2.5 Implement composite scoring with configurable weights ✅

Deliverable: ✅ Support for all three grader types with weighted composite scores.

Phase 3: Developer Experience ✅ COMPLETE

Make it easy to adopt and use.

Task Description Status
3.1 Create waza init <skill-name> scaffolding command ✅
3.2 Add markdown reporter for human-readable reports ✅
3.3 Create GitHub Actions workflow for CI integration ✅
3.4 Write comprehensive README with examples ✅
3.5 Add example eval suite for azure-deploy skill ✅

Deliverable: ✅ Complete developer workflow from init to CI/CD.

Phase 4: Eval-as-Skill ✅ COMPLETE

Enable meta-evaluation within skill runtimes.

Task Description Status
4.1 Create waza-runner skill with SKILL.md ✅
4.2 Implement skill instructions for running evals ✅
4.3 Add human review workflow support ✅
4.4 Test meta-evaluation capability ✅

Deliverable: ✅ A skill that can evaluate other skills.

Phase 5: Polish & Documentation ✅ COMPLETE

Production-ready quality.

Task Description Status
5.1 Add comprehensive test coverage (>80%) ✅ (34 tests passing)
5.2 Write specification documentation ✅
5.3 Create tutorial for writing skill evals ✅
5.4 Add examples for different skill types ✅

Deliverable: ✅ Production-ready framework with full documentation.

Phase 6: Advanced Integration ✅ COMPLETE

Real Copilot SDK testing, model comparison, and runtime telemetry.

Task Description Status
6.1 Add copilot-sdk as optional dependency ✅
6.2 Create CopilotExecutor class wrapping SDK ✅
6.3 Add executor and model config options ✅
6.4 Add --model and --executor CLI flags ✅
6.5 Create waza compare command ✅
6.6 Create runtime telemetry module ✅
6.7 Add waza analyze command ✅

Deliverable: ✅ Real integration testing with model comparison and runtime metrics.

Architecture

waza/
├── waza/                    # Python package
│   ├── __init__.py
│   ├── cli.py                     # CLI entrypoint
│   ├── runner.py                  # Eval orchestration
│   ├── graders/
│   │   ├── base.py               # Abstract grader interface
│   │   ├── code_graders.py       # Deterministic graders
│   │   ├── llm_graders.py        # LLM-as-judge graders
│   │   └── human_graders.py      # Human review workflow
│   ├── metrics/
│   │   ├── task_completion.py
│   │   ├── trigger_accuracy.py
│   │   ├── behavior_quality.py
│   │   └── composite.py
│   ├── reporters/
│   │   ├── json_reporter.py
│   │   ├── markdown_reporter.py
│   │   └── github_reporter.py
│   └── schemas/
│       ├── eval_spec.py
│       ├── task.py
│       └── results.py
├── waza-runner/             # Eval-as-skill
│   └── SKILL.md
├── examples/
├── tests/
├── pyproject.toml
└── README.md

Legend

  • ⬚ Not started
  • ⏳ In progress
  • ✅ Complete
  • ⚠️ Blocked

Progress Log

2026-01-31

  • ✅ Created project structure
  • ✅ Implemented complete Phase 1 (Core Framework)
  • ✅ Implemented Phase 2 (Grading System)
  • ✅ Implemented Phase 3 (Developer Experience)
  • ✅ Implemented Phase 4 (Eval-as-Skill)
  • ✅ Implemented Phase 5 (Documentation)
  • ✅ Implemented Phase 6 (Advanced Integration)
  • ✅ 34 tests passing
  • ✅ 48 files created
  • ✅ CLI working with new commands:
    • waza run - with --model and --executor flags
    • waza init - scaffolds complete eval suite
    • waza compare - side-by-side model comparison
    • waza analyze - runtime telemetry analysis
    • waza list-graders - available grader types
    • waza report - generate reports from results
  • ✅ Example evals for azure-deploy and cli-session-recorder skills
  • ✅ Created DEMO-SCRIPT.md for video walkthrough
  • ✅ Created Integration Testing and Telemetry documentation

🎉 Implementation Complete!