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microsoft/waza azd-ext-microsoft-azd-waza_0.11.0

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Waza azd Extension v0.11.0

Repository: microsoft/waza

Tag: azd-ext-microsoft-azd-waza_0.11.0

Published: 2026-02-28T04:06:41Z

Prerelease: no

Release notes:

Changelog

All notable changes to waza will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]

[0.9.0] - 2026-02-23

Added

  • A/B baseline testing — --baseline flag runs each task with and without skill, computes weighted improvement scores across quality, tokens, turns, time, and task completion (#307)
  • Pairwise LLM judging — pairwise mode on prompt grader with position-swap bias mitigation. Three modes: pairwise, independent, both. Magnitude scoring from much-better to much-worse (#310)
  • Tool constraint grader — New tool_constraint grader type with expect_tools, reject_tools, max_turns, max_tokens constraints. Validates agent tool usage behavior (#391)
  • Auto skill discovery — --discover flag walks directory trees for SKILL.md + eval.yaml pairs. --strict mode fails if any skill lacks eval coverage (#392)
  • Releases page — New docs site page at reference/releases with platform download links, install commands, and azd extension info (#383)

Fixed

  • Lint warnings — Resolved errcheck (webserver) and ineffassign (utils) lint warnings

Changed

  • Competitive research — Added OpenAI Evals analysis (docs/research/waza-vs-openai-evals.md), skill-validator analysis (docs/research/waza-vs-skill-validator.md), and eval registry design doc (docs/research/waza-eval-registry-design.md)
  • Mermaid diagrams — Converted remaining ASCII diagrams to Mermaid across all markdown files. Added Mermaid directive to AGENTS.md

[0.8.0] - 2026-02-21

Added

  • MCP Server — waza serve now includes an always-on MCP server with 10 tools (eval.list, eval.get, eval.validate, eval.run, task.list, run.status, run.cancel, results.summary, results.runs, skill.check) via stdio transport (#286)
  • `waza suggest` command — LLM-powered eval suggestions: reads SKILL.md, proposes test cases, graders, and fixtures. Flags: --model, --dry-run, --apply, --output-dir, --format (#287)
  • Interactive workflow skill — skills/waza-interactive/SKILL.md with 5 workflow scenarios for conversational eval orchestration (#288)
  • Grader weighting — weight field on grader configs, ComputeWeightedRunScore method, dashboard weighted scores column (#299)
  • Statistical confidence intervals — Bootstrap CI with 10K resamples, 95% confidence, normalized gain. Dashboard CI bands and significance badges (#308)
  • Judge model support — --judge-model flag and judge_model config for separate LLM-as-judge model (#309)
  • Spec compliance checks — 8 agentskills.io compliance checks in waza check and waza dev (#314)
  • SkillsBench advisory — 5 advisory checks (module-count, complexity, negative-delta, procedural, over-specificity) (#315)
  • MCP integration scoring — 4 MCP integration checks in waza dev (#316)
  • Batch skill processing — waza dev processes multiple skills in one run (#317)
  • Token compare --strict — Budget enforcement mode for waza tokens compare (#318)
  • Scaffold trigger tests — Auto-generate trigger test YAML from SKILL.md frontmatter (#319)
  • Skill profile — waza tokens profile for static analysis of skill token distribution (#311)
  • JUnit XML reporter — --format junit output for CI integration (#312)
  • Template Variables — New internal/template package with Render() for Go text/template syntax in hooks and commands. System variables: JobID, TaskName, Iteration, Attempt, Timestamp. User variables via vars map (#186)
  • GroupBy Results — New group_by config field to organize results by dimension (e.g., model). CLI shows grouped output, JSON includes GroupStats with name/passed/total/avg_score (#188)
  • Custom Input Variables — New inputs section in eval.yaml for defining key-value pairs available as {{.Vars.key}} throughout evaluation. Accessible in hooks, task templates, and grader configs (#189)
  • CSV Dataset Support — New tasks_from field to generate tasks from CSV files. Each row becomes a task with columns accessible as {{.Vars.column}}. Optional range: [start, end] for row filtering. First row treated as headers (#187)
  • Retry/Attempts — Add max_attempts config field for retrying failed task executions within each trial (#191)
  • Lifecycle Hooks — Add hooks section with before_run/after_run/before_task/after_task lifecycle points (#191)
  • `prompt` grader (LLM-as-judge) — LLM-based evaluation with rubrics, tool-based grading, and session management modes (#177, closes #104)
  • Two modes: clean (fresh context) and continue_session (resumes test session)
  • Tool-based grading: set_waza_grade_pass and set_waza_grade_fail tools for LLM graders
  • Separate judge model configuration: run evaluation with a different model than the executor
  • Pre-built rubric templates adapted from Azure ML evaluators
  • `trigger_tests.yaml` auto-discovery — measure prompt trigger accuracy for skills (#166, closes #36)
  • New internal/trigger/ package for trigger testing
  • Automatically discovered alongside eval.yaml
  • Confidence weighting: high (weight 1.0) and medium (weight 0.5) for borderline cases
  • trigger_accuracy metric with configurable cutoff threshold
  • Metrics: accuracy, precision, recall, F1, error count
  • `diff` grader — new grader type for workspace file comparison with snapshot matching and contains-line fragment checks (#158)
  • Azure ML evaluation rubrics — 8 pre-built rubric YAMLs in examples/rubrics/ adapted from Azure ML evaluators (#160, #161):
  • Tool call rubrics: tool_call_accuracy, tool_selection, tool_input_accuracy, tool_output_utilization
  • Task evaluation rubrics: task_completion, task_adherence, intent_resolution, response_completeness
  • MockEngine WorkspaceDir support — test infrastructure for graders that need workspace access (#159)

Changed

  • Dashboard — Aspire-style trajectory waterfall, weighted scores column, CI bands with significance indicators, judge model badge (#303, #330, #331, #332)
  • Docs site — Dashboard explore page with 14+ screenshots, light/dark mode, navbar polish (#357, #358, #360)

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