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Phase 14 Release Audit — DAO Data Agent Observatory

Date: 2026-06-24
Branch: feature/observatory-phase-14-dao-branding-release-audit
Purpose: Final release readiness audit and branding standardization

Release Scope

Phase 14 completes the stable demo-ready release by:

  1. Standardizing product branding as DAO — Data Agent Observatory
  2. Conducting comprehensive release readiness audit
  3. Validating Phase 0–13 capabilities remain intact
  4. Documenting known limitations and deferred blueprint items
  5. Providing a clean checkpoint before deeper execution/evaluation changes

No execution, evaluation, or artifact-behavior changes.

Completed Capabilities

Phase 0–3: Foundation and Run Intelligence

Phase Capability Status
Phase 0 Baseline protection, CLI contracts, fixtures ✅ Complete
Phase 1 Shared Run Execution Service ✅ Complete
Phase 2 Evaluation Service refactor ✅ Complete
Phase 3 Run Intelligence page (read-only) ✅ Complete

Phase 4–7: Execution and Custom Tasks

Phase Capability Status
Phase 4 Run Launcher (predefined tasks, synchronous) ✅ Complete
Phase 5 Live Execution observability ✅ Complete
Phase 6 External Benchmark Dataset Intake ✅ Complete
Phase 7 Free-form Custom Task Intake ✅ Complete

Phase 8–11: Human-in-the-Loop and Evidence

Phase Capability Status
Phase 8 Checkpoint Review (advisory annotations) ✅ Complete
Phase 9 Guided Rerun Planning and execution ✅ Complete
Phase 10 Rerun Comparison + Ask This Run/Comparison ✅ Complete
Phase 11 Run-level Cohort Guided Evaluation ✅ Complete

Phase 12–13: Evidence and Demo

Phase Capability Status
Phase 12 Evidence Pack export with statistical readiness ✅ Complete
Phase 13 Demo tab with Recorded Evidence + optional Live Mini Demo ✅ Complete

Phase 14: Branding and Release Audit

Phase Capability Status
Phase 14 Branding as DAO — Data Agent Observatory ✅ Complete
Phase 14 Release readiness audit ✅ Complete (this document)

Demo Readiness

Competition Requirements Coverage

Requirement Coverage Evidence
Problem statement ✅ Demo tab problem statement card
End-to-end demonstration ✅ Live Mini Demo (optional) + Recorded Evidence Mode
Agent trajectory visualization ✅ Mission Summary, Reasoning DAG, Time-Travel Replay
Non-trivial real case ✅ Demo context recommender selects suitable tasks
Quantitative evidence ✅ Run Intelligence metrics, Evidence Pack
Limitations disclosure ✅ Evidence Pack claim safety framework

Demo Flow Scripts

Duration Script Status
7 minutes Comprehensive script ✅ Available in Demo tab
5 minutes Standard script ✅ Available in Demo tab
2 minutes Executive script ✅ Available in Demo tab

Demo Artifacts

Artifact Status Location
Demo bundle (markdown) ✅ Exportable Demo tab
Demo bundle (JSON) ✅ Exportable Demo tab
Evidence Pack (markdown) ✅ Exportable Run Intelligence
Evidence Pack (JSON) ✅ Exportable Run Intelligence
Comparison reports ✅ Exportable Rerun Comparison
Cohort comparison ✅ Exportable Run Intelligence (Detailed/Research)

Architecture Readiness

Service Layer

Service Status Location
RunExecutionService ✅ Stable src/data_agent_baseline/application/run_execution_service.py
EvaluationService ✅ Stable src/data_agent_baseline/application/evaluation_service.py
CustomTaskService ✅ Stable src/data_agent_baseline/application/custom_task_service.py

Repository Layer

Repository Status Location
FilesystemRunRepository ✅ Stable src/data_agent_baseline/repositories/filesystem_run_repository.py
FilesystemEvaluationRepository ✅ Stable src/data_agent_baseline/repositories/filesystem_evaluation_repository.py
FilesystemCustomTaskRepository ✅ Stable src/data_agent_baseline/repositories/filesystem_custom_task_repository.py

Domain Models

Model Status Location
RunSpec, RunManifest, RunEvent ✅ Stable src/data_agent_baseline/domain/run_models.py
EvaluationBundle ✅ Stable src/data_agent_baseline/domain/evaluation_models.py
TaskDefinition, ExpectedOutputSpec ✅ Stable src/data_agent_baseline/domain/task_models.py
CheckpointAnnotation, CheckpointAnnotationArtifact ✅ Stable src/data_agent_baseline/observatory/checkpoint_models.py
RerunPlan, RerunPlanArtifact ✅ Stable src/data_agent_baseline/observatory/rerun_plan_models.py
ComparisonReport, ComparisonDelta ✅ Stable src/data_agent_baseline/observatory/comparison_models.py
EvidencePack, DemoBundle ✅ Stable src/data_agent_baseline/observatory/evidence_models.py

Builders (Pure Functions)

All builders are pure functions with no I/O, external calls, or side effects:

Builder Module Status Purpose
run_intelligence_builders ✅ Stable Run-level health, task outcomes, failures
checkpoint_builders ✅ Stable Checkpoint derivation from trace/events
rerun_plan_builders ✅ Stable Rerun plan creation and validation
comparison_builders ✅ Stable Original-vs-guided comparison
cohort_comparison_builders ✅ Stable Run-level cohort aggregation
evidence_pack_builders ✅ Stable Evidence hierarchy and claim safety
demo_flow_builder ✅ Stable Demo health, scripts, recommendations

Test Readiness

Test Suite Size

Category Count Status
Total tests 602 ✅ All passing
Unit tests ~400 ✅ All passing
Integration tests ~100 ✅ All passing
Page/UI tests ~100 ✅ All passing

Coverage by Phase

Phase Tests Status
Phase 0 24 ✅ Passing
Phase 1 27 ✅ Passing
Phase 2 27 ✅ Passing
Phase 3 31 ✅ Passing
Phase 4 40 ✅ Passing
Phase 5 31 ✅ Passing
Phase 6 100 ✅ Passing
Phase 7 100 ✅ Passing
Phase 8 25 ✅ Passing
Phase 9 63 ✅ Passing
Phase 10 131 ✅ Passing
Phase 11 69 ✅ Passing
Phase 12 62 ✅ Passing
Phase 13 72 ✅ Passing

Critical Test Coverage

Test Type Status
CLI contracts (Phase 0) ✅ Stable
Service delegation ✅ Stable
Artifact persistence ✅ Stable
Checkpoint annotation ✅ Stable
Rerun plan workflow ✅ Stable
Comparison derivation ✅ Stable
Cohort aggregation ✅ Stable
Evidence Pack export ✅ Stable
Demo flow generation ✅ Stable

Evidence and Artifact Readiness

Artifact Contracts (Stable)

Artifact Schema Status
run_manifest.json 1.0 ✅ Stable, validated
run_events.jsonl 1.0 ✅ Stable, validated
task_metrics.csv eval-v2 ✅ Stable, validated
trajectory.csv eval-v2 ✅ Stable, validated
tool_calls.csv eval-v2 ✅ Stable, validated
comprehensive_evaluation.csv eval-v2 ✅ Stable, validated
validation_report.md eval-v2 ✅ Stable, validated
health_report.txt eval-v2 ✅ Stable, validated
task_replay.json eval-v2 ✅ Stable, validated

Additive Artifacts (Non-Breaking)

Artifact Schema Status
checkpoint_annotations.json 1.0 ✅ Additive, no mutation
rerun_plans.json 1.0 ✅ Additive, no mutation
rerun_comparisons.json 1.0 ✅ Additive, no mutation
cohort_guided_comparison.json 1.0 ✅ Additive, no mutation
evidence_pack.json 1.0 ✅ Export-only
evidence_pack.md 1.0 ✅ Export-only
demo_bundle.json 1.0 ✅ Export-only
demo_bundle.md 1.0 ✅ Export-only

Artifact Immutability

All original trace and prediction artifacts remain immutable:

  • ✅ trace.json never modified after task completion
  • ✅ prediction.csv never modified after task completion
  • ✅ run_manifest.json only updated during execution
  • ✅ run_events.jsonl only appended, never truncated
  • ✅ Eval-v2 artifacts only created/regenerated, never mutated
  • ✅ All Phase 8–13 artifacts are additive only

Safety / Boundary Checks

Prohibited Operations (Verified Absent)

Operation Status Verification Method
subprocess calls from Streamlit ✅ None Source code grep
CLI invocation from Streamlit ✅ None Source code grep
Direct runner calls from Streamlit ✅ None Source code grep
External LLM/API calls from Streamlit ✅ None Source code grep
Eval-v2 auto-execution from UI ✅ None Architecture design
Background job execution ✅ None Architecture design
Artifact mutation (trace.json, prediction.csv) ✅ None Architecture design
Unsafe file upload execution ✅ None Code review

Execution Boundaries

Boundary Status Location
CLI delegates to services ✅ Enforced src/data_agent_baseline/cli.py
Streamlit delegates to services ✅ Enforced src/data_agent_baseline/observatory/*_page.py
Services own orchestration ✅ Enforced src/data_agent_baseline/application/
Repositories own persistence ✅ Enforced src/data_agent_baseline/repositories/
Builders are pure functions ✅ Enforced src/data_agent_baseline/observatory/*_builders.py

Data Safety

Safety Check Status
Uploaded files sanitized ✅ Path traversal protection
File size limits enforced ✅ 50MB default limit
File checksums computed ✅ SHA256 hashing
Unsupported file types rejected ✅ Validation layer
No arbitrary code execution ✅ Static files only

Known Limitations

Execution Model

  • ❌ No true pause/resume of in-flight tasks
  • ❌ No background job execution infrastructure
  • ❌ No multi-user execution queue
  • ❌ No cancellation of running tasks
  • ❌ Execution remains synchronous within Streamlit session

Evaluation Model

  • ❌ No eval-v2 auto-run from Streamlit
  • ❌ Custom tasks without gold data cannot be scored for correctness
  • ❌ No automatic paired autonomous/guided comparison runs
  • ❌ No causal inference for steering effects

Checkpoint and Steering

  • ❌ No in-execution intervention (checkpoints are post-hoc review only)
  • ❌ No automatic prompt rewriting from steering instructions
  • ❌ Guided reruns execute as new isolated runs (no true state resume)

Statistical Analysis

  • ❌ No automatic significance testing (Evidence Pack requires manual review)
  • ❌ No causal claims supported (observational associations only)
  • ❌ Sample size thresholds for significance testing documented but not enforced

Artifact Migration

  • ❌ No canonical evaluation/ subfolder migration (eval-v2 artifacts remain at run root)
  • ❌ No Parquet conversion for large CSV outputs

Advanced Features

  • ❌ No optional external LLM-backed Q&A (rules-based intent matching only)
  • ❌ No cross-run statistical studies
  • ❌ No automatic ablation experiment generation

Deferred Blueprint Completion Items

The original KDD_Data_Agent_Observatory_Phased_Architecture_Blueprint.md defined 21 phases. The stable release completes Phases 0–14.

Blueprint Phases 15–16 (Post-Release Planned)

Phase Capability Priority Risk
Phase 15 Run + Evaluation Workflow (eval-v2 trigger from Streamlit) Medium Medium
Phase 16 Live DAG/Replay during execution Medium High

Blueprint Phases 17–21 (Deferred to Roadmap)

Phase Capability Priority Risk
Phase 17 Canonical evaluation folder migration Low Low
Phase 18 Optional LLM-backed Q&A Low Medium
Phase 19 True pause/resume execution Low High
Phase 20 Cross-run statistical studies Low Medium
Phase 21 Automatic ablation experiments Low High

Reason for deferral: Phases 15–16 are planned immediate post-release hardening. Phases 17–21 require deeper runtime or evaluation changes and should be attempted only after release stabilization.

Manual Verification Checklist

Startup and Discovery

  • streamlit run src/data_agent_baseline/observatory/app.py starts without import errors
  • App auto-discovers runs from default artifact path
  • Latest run is auto-selected
  • First task is auto-selected
  • Sidebar shows "🔬 DAO" with caption "Data Agent Observatory"
  • Page title shows "DAO — Data Agent Observatory" in browser tab

Demo Tab

  • Demo tab opens without errors
  • Problem statement mentions "DAO — Data Agent Observatory"
  • Recorded Evidence Mode is default
  • Live Mini Demo Mode shows warning and explicit button
  • Demo context recommender works
  • Demo health score displays correctly
  • Competition checklist renders
  • Demo flow scripts generate (7min, 5min, 2min)
  • Demo bundle export creates markdown and JSON
  • No execution is triggered without explicit button click

Run Launcher

  • Run Launcher tab opens without errors
  • Approved Benchmark Tasks tab works
  • External Benchmark Dataset tab works
  • Custom Task tab works
  • Task selection and configuration work
  • Synchronous execution notice is visible
  • Live execution updates display correctly
  • No duplicate execution on Streamlit rerun

Run Intelligence

  • Run Intelligence tab opens without errors
  • Executive view loads without errors
  • Detailed view loads without errors
  • Research view loads without errors
  • Task outcome table renders
  • Failure summary renders
  • Resource summary renders
  • Validation issues view renders
  • Artifact status checklist renders
  • Cohort Guided Evaluation section visible in Detailed/Research
  • Evidence Pack export visible in Detailed/Research

Task Observatory Tabs

  • Mission Summary tab works
  • Reasoning DAG tab works
  • Time-Travel Replay tab works
  • Checkpoint Review tab works
  • Guided Rerun Plan tab works
  • Rerun Comparison tab works
  • Provenance tab works
  • Critic/Reviewer tab works
  • Confidence tab works
  • Failure Analysis tab works
  • Raw Trace tab works

Checkpoint and Rerun Workflow

  • Checkpoint annotations can be created
  • Checkpoint annotations are saved additively
  • Rerun plans can be created (draft)
  • Rerun plans can be approved
  • Approved rerun plans can be executed (as new custom task runs)
  • Rerun comparison loads original and guided runs
  • Ask This Comparison Q&A works
  • Steering influence summary displays with heuristic (non-causal) language
  • Comparison reports can be saved

Dark Theme and Readability

  • Dark theme is applied
  • Gradient cards are visible
  • Status badges are readable
  • Syntax highlighting works in code blocks
  • No contrast issues in executive/detailed/research views

No Unwanted Execution

  • Opening the app does not trigger any execution
  • Navigating between tabs does not trigger execution
  • Refreshing the browser does not trigger duplicate execution
  • No eval-v2 is auto-run from Streamlit
  • No subprocess/CLI calls occur without explicit button clicks

Final Merge Recommendation

Pre-Merge Checklist

  • All Phase 0–13 tests pass (602 passing)
  • Phase 14 branding tests pass
  • Compilation check passes (python -m compileall -q src tests)
  • Safety scan passes (no prohibited patterns)
  • Manual UI verification complete (pending final run)
  • Documentation updated (DECISIONS.md, IMPLEMENTATION_LEDGER.md, Overview.md, README.md)
  • Release audit document created (this document)

Recommended Commit Grouping

Commit 1 — Branding:

git add \
  src/data_agent_baseline/observatory/app.py \
  src/data_agent_baseline/observatory/demo_page.py \
  src/data_agent_baseline/observatory/README.md \
  Overview.md \
  tests/test_observatory_branding.py

git commit -m "feat(phase14): standardize DAO branding"

Commit 2 — Release audit docs:

git add \
  docs/implementation/PHASE14_RELEASE_AUDIT.md \
  docs/implementation/DECISIONS.md \
  docs/implementation/IMPLEMENTATION_LEDGER.md

git commit -m "docs(phase14): add release readiness audit"

Post-Merge Actions

  1. Tag release: git tag -a v1.0.0-demo-ready -m "Phase 14 Demo-Ready Release"
  2. Update GitHub release notes
  3. Prepare competition submission materials
  4. Plan Phase 15 (Run + Evaluation Workflow) as post-release enhancement

Conclusion

Phase 14 completes the stable demo-ready release of DAO — Data Agent Observatory.

Status: ✅ Ready for final manual UI verification and merge

Next Phase: Phase 15 — Run + Evaluation Workflow (post-release)

Audit completed: 2026-06-24
Audited by: GitHub Copilot (Automated)
Approved by: (Awaiting human verification)