Add multi-channel evidence-aware reporting

README.md

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+# Rex Sim Universe Lab
+
+This repository hosts the blueprint and toy scaffolding for evaluating how computable or simulatable a universe might be using the REx Engine and NNSL TOE-Lab.
+
+## Included artifacts
+- `sim_universe_blueprint.json`: Standardized experiment/corpus schema covering Faizal MToE ideas, undecidable physics witnesses, MUH/CUH-inspired hypotheses, and energy/information constraints for REx+NNSL workflows.
+- `docs/SimUniverseLabBlueprint.md`: A one-stop scaffold that explains the SimUniverse Lab concept, mathematical model, YAML configuration samples, folder layout, and key code/Helm snippets.
+
+## Usage guide
+1. Choose witnesses and hypothesis clusters from `corpus.clusters` in the JSON blueprint.
+2. Build `WorldSpec` objects and run `ToeQuery` calls against the endpoints defined in `experiment_schema.nnsl_binding`.
+3. Aggregate `ToeResult` values via `metrics_and_scoring` to evaluate simulation plausibility, energy feasibility, and undecidability patterns.
+4. See `docs/SimUniverseLabBlueprint.md` for detailed configuration guidance, folder structure, and code snippets.
+
+## Toy code scaffold
+- `src/nnsl_toe_lab/app.py`: FastAPI TOE-Lab toy server providing `/toe/world` and `/toe/query` endpoints plus routing for spectral-gap and RG-flow witnesses.
+- `src/nnsl_toe_lab/solvers/spectral_gap.py`: 1D TFIM toy solver performing full diagonalization to measure the spectral gap.
+- `src/rex/sim_universe/orchestrator.py`: REx-side orchestrator that calls NNSL endpoints.
+- `src/rex/core/stages/stage3_simuniverse.py`: Example Stage-3 hook that creates a world, runs queries, and appends summaries to the pipeline payload.
+- `configs/rex_simuniverse.yaml`: Baseline configuration used by the Stage-3 example.
+- `scripts/meta_cycle_runner.py`: Lightweight meta-coverage driver that replays the toy scenario for multiple cycles and enforces a 90% threshold.
+- `scripts/dfi_meta_cli.py`: Sandboxed DFI-META CLI exposing meta-cognitive evolution commands (default 30-cycle evolve runs) and quick coherence checks.
+- `scripts/run_toe_heatmap_with_evidence.py`: Async CLI that executes the toy witnesses for multiple TOE candidates, aggregates MUH/Faizal scores, and emits Markdown/HTML/Jupyter/React-friendly evidence-aware reports plus trust summaries and Prometheus metrics.
+- `scripts/update_toe_trust.py`: Helper that patches an ASDP-style registry JSON using a SimUniverse trust summary (including optional Stage-5 failure counters).
+- `templates/simuniverse_report.html`: Glassmorphic Jinja2 template used to render an interactive HTML dashboard for a run.
+- `ui/SimUniverseHeatmap.tsx`: React + Tailwind component that consumes the exported JSON payload and mirrors the HTML experience inside a web app.
+
+## Evidence-aware reporting
+Generate a Markdown table that aligns MUH/Faizal scores with the corpus evidence supporting (or contesting) each TOE candidate:
+
+```bash
+python scripts/run_toe_heatmap_with_evidence.py \
+  --config configs/rex_simuniverse.yaml \
+  --corpus corpora/REx.SimUniverseCorpus.v0.2.json \
+  --output docs/sim_universe_heatmap.md \
+  --html reports/simuniverse_report.html \
+  --notebook reports/SimUniverse_Results.ipynb \
+  --react-json reports/simuniverse_payload.json \
+  --trust-json reports/simuniverse_trust_summary.json \
+  --prom-metrics reports/simuniverse_metrics.prom
+```
+
+Notes:
+
+1. `--output` controls the Markdown destination; omit it to print to stdout.
+2. `--html` renders `templates/simuniverse_report.html` via Jinja2 (install `jinja2` if it is not already present).
+3. `--notebook` builds `SimUniverse_Results.ipynb` using `nbformat`/`matplotlib` so you can archive the run inside CI or LawBinder packages.
+4. `--react-json` writes a payload that can be fed directly into `ui/SimUniverseHeatmap.tsx` for dashboards.
+5. `--trust-json` emits an aggregate trust summary where MUH/Faizal averages are computed per TOE candidate and low-trust flags are derived from the heuristics described in `src/rex/sim_universe/governance.py`.
+6. `--prom-metrics` writes Prometheus exposition text mirroring the trust summary so Gate DSL / Meta-Router rules can react to SimUniverse outcomes.
+
+All outputs link each TOE/world cell with up to three high-weight claims (e.g., Faizal Sec. 3 or Tegmark Ch. 12) drawn from `REx.SimUniverseCorpus.v0.2`.
+
+## Omega + SimUniverse badges
+
+Display Ω certification data and SimUniverse trust signals consistently across dashboards or standalone HTML reports with the `OmegaSimUniverseHeader` React component:
+
+```tsx
+import { OmegaSimUniverseHeader } from "../ui/OmegaSimUniverseHeader";
+
+<OmegaSimUniverseHeader
+  tenant="flamehaven"
+  service="REx SimUniverse"
+  environment="prod"
+  omegaLevel="Ω-2"
+  omegaScore={0.864}
+  simUniverseScore={0.78}
+  simUniverseStatus="SimUniverse-Qualified"
+  lowTrustToeCount={1}
+  lastUpdatedIso="2025-11-18T13:45:00Z"
+/>;
+```
+
+Key details:
+
+1. Ω badge colors adapt to the level (Ω-3 violet/cyan gradient, Ω-2 indigo/sky, Ω-1 slate, Ω-0 muted slate).
+2. SimUniverse status badges support `SimUniverse-Uncertified`, `SimUniverse-Classical`, `SimUniverse-Qualified`, and `SimUniverse-Aligned` states.
+3. The header shows the normalized `simuniverse_consistency` score plus an optional low-trust warning if any TOE candidates are demoted.
+4. Tailwind classes are baked in so it can drop into the existing dashboard layout without extra wiring.
+
+If you need the same layout in a plain Jinja2/HTML context, reuse the inline-styled snippet below (swap in your values when rendering):
+
+```html
+<header style="width:100%;border-bottom:1px solid #1f2933;background-color:rgba(15,23,42,0.9);">
+  <div style="max-width:72rem;margin:0 auto;padding:0.75rem 1rem;display:flex;justify-content:space-between;align-items:center;gap:1rem;">
+    <div style="display:flex;flex-direction:column;gap:0.25rem;">
+      <div style="display:flex;align-items:center;gap:0.5rem;">
+        <h1 style="font-size:0.9rem;font-weight:600;color:#f9fafb;">REx SimUniverse</h1>
+        <span style="display:inline-flex;align-items:center;gap:0.25rem;border-radius:999px;border:1px solid #374151;padding:0.125rem 0.5rem;font-size:0.6rem;color:#e5e7eb;">
+          <span style="width:0.3rem;height:0.3rem;border-radius:999px;background-color:#34d399;"></span>
+          flamehaven
+        </span>
+        <span style="display:inline-flex;align-items:center;gap:0.25rem;border-radius:999px;background:#020617;padding:0.125rem 0.5rem;font-size:0.6rem;color:#e5e7eb;">
+          <span style="width:0.3rem;height:0.3rem;border-radius:999px;background-color:#38bdf8;"></span>
+          prod
+        </span>
+      </div>
+      <p style="font-size:0.6rem;color:#6b7280;">
+        Last Ω / SimUniverse certification update:
+        <time datetime="2025-11-18T13:45:00Z">2025-11-18T13:45:00Z</time>
+      </p>
+    </div>
+    <div style="display:flex;flex-wrap:wrap;align-items:center;justify-content:flex-end;gap:0.5rem;font-size:0.7rem;">
+      <div style="display:inline-flex;align-items:center;gap:0.25rem;border-radius:999px;padding:0.25rem 0.75rem;background:linear-gradient(to right,#4f46e5,#38bdf8);box-shadow:0 10px 25px rgba(0,0,0,0.6);color:#020617;">
+        <div style="display:flex;align-items:center;justify-content:center;width:1.25rem;height:1.25rem;border-radius:999px;background:rgba(15,23,42,0.4);font-size:0.6rem;font-weight:600;">Ω</div>
+        <span style="font-weight:600;">Ω-2</span>
+        <span style="margin-left:0.25rem;font-size:0.6rem;color:rgba(15,23,42,0.75);">0.864</span>
+      </div>
+      <div style="display:inline-flex;align-items:center;gap:0.25rem;border-radius:999px;border:1px solid rgba(34,197,235,0.6);padding:0.25rem 0.75rem;background:rgba(15,23,42,0.8);color:#a5f3fc;">
+        <span style="width:0.3rem;height:0.3rem;border-radius:999px;background-color:#22c55e;"></span>
+        <span style="font-weight:500;">SimUniverse-Qualified</span>
+      </div>
+      <div style="display:inline-flex;align-items:center;gap:0.25rem;border-radius:999px;background:#020617;padding:0.25rem 0.75rem;color:#e5e7eb;">
+        <span style="font-size:0.6rem;text-transform:uppercase;letter-spacing:0.05em;color:#9ca3af;">simuniverse_consistency</span>
+        <span style="font-family:monospace;font-size:0.75rem;">0.780</span>
+      </div>
+      <div style="display:inline-flex;align-items:center;gap:0.25rem;border-radius:999px;background:rgba(190,24,93,0.4);padding:0.25rem 0.75rem;color:#fecaca;">
+        <span style="display:flex;align-items:center;justify-content:center;width:1rem;height:1rem;border-radius:999px;background:#f97373;font-size:0.6rem;">!</span>
+        <span style="font-weight:500;">1 low-trust TOE</span>
+      </div>
+    </div>
+  </div>
+</header>
+```
+
+## Governance and router integration
+
+SimUniverse trust signals can be pushed into ASDP/Meta-Router workflows in two steps:
+
+1. Run `scripts/run_toe_heatmap_with_evidence.py` with `--trust-json` and (optionally) `--prom-metrics` enabled. The JSON payload lists MUH/Faizal/undecidability/energy averages per TOE candidate plus a `low_trust_flag`. The Prometheus exposition mirrors the same values so Gate DSL rules can watch them in real time.
+2. Feed the trust summary into `scripts/update_toe_trust.py`:
+
+   ```bash
+   python scripts/update_toe_trust.py \
+     --registry registry/toe_candidates.json \
+     --trust-summary reports/simuniverse_trust_summary.json \
+     --failure-counts reports/stage5_failure_counts.json \
+     --failure-threshold 3
+   ```
+
+   The helper updates each registry entry's `trust.tier` (demoting repeat offenders to `low`) and maintains a `simuniverse.low_trust` sovereign tag that the Meta-Router can reference when routing or gating TOE candidates.
+
+## Omega certification with SimUniverse consistency
+
+SimUniverse is also exposed as an Ω certification dimension so that SIDRCE / ASDP tooling can reason about "simulation alignment" alongside safety and robustness:
+
+1. Produce a trust summary via the evidence-aware CLI (see above). Optionally capture real traffic weights for each TOE route over the certification window.
+2. Build an Ω report that merges the baseline dimensions with the new `simuniverse_consistency` axis:
+
+   ```bash
+   python scripts/build_omega_report.py \
+     --tenant flamehaven \
+     --service rex-simuniverse \
+     --stage stage5 \
+     --run-id ${RUN_ID} \
+     --base-dimensions artifacts/base_dims.json \
+     --trust-summary reports/simuniverse_trust_summary_${RUN_ID}.json \
+     --traffic-weights artifacts/toe_traffic_weights.json \
+     --lawbinder-report artifacts/lawbinder_stage5_${RUN_ID}.json \
+     --output reports/omega_${RUN_ID}.json
+   ```
+
+   `base_dims.json` is a simple `{"safety": 0.91, "robustness": 0.87, "alignment": 0.83}` map. The script automatically injects the SimUniverse dimension, derives the traffic-weighted score, imports LawBinder attachment URLs (HTML, notebook, trust summary, etc.), and normalizes Ω + level thresholds (Ω-3/Ω-2/Ω-1/Ω-0) so that `simuniverse_consistency` is a first-class lever.
+
+3. Export the resulting metrics to Prometheus/Gate DSL. The report captures per-TOE SimUniverse quality, the aggregated global score, and attachment links so auditors can trace back to the raw HTML/notebook outputs. Meta-Router rules or Gate DSL policies can now depend on the published `simuniverse_consistency_score` just like `omega`, `coverage`, or FinOps signals.
+
+## License
+MIT License (see `LICENSE` for details).

configs/dfi_meta.yaml

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+# DFI-META Configuration (trimmed for sandbox use)
+version: "3.0-meta"
+name: "DFI-META"
+description: "Developer First Investor with Meta-Cognitive Evolution"
+
+meta_cognitive:
+  awareness:
+    weight: 0.30
+    threshold: 0.7
+  reflection:
+    weight: 0.25
+    threshold: 0.6
+  adaptation:
+    weight: 0.20
+    threshold: 0.5
+  emergence:
+    weight: 0.15
+    threshold: 0.4
+  quantum_coherence:
+    weight: 0.10
+    threshold: 0.3
+
+leda:
+  evolution:
+    initial_rate: 0.01
+    max_rate: 0.5
+    acceleration: 1.2
+    damping: 0.95
+  drift:
+    tolerance: 0.1
+    correction_factor: 0.8
+    history_window: 10
+  learning:
+    momentum_factor: 0.9
+    gradient_clipping: 1.0
+    batch_size: 5
+  adaptation:
+    min_capacity: 0.1
+    max_capacity: 1.0
+    growth_rate: 0.05
+
+quantum:
+  field:
+    dimensions: 100
+    initial_amplitude: 0.1
+    coherence_threshold: 0.5
+  tunneling:
+    probability: 0.1
+    temperature_decay: 0.95
+    min_temperature: 0.01
+  entanglement:
+    coupling_strength: 0.3
+    decoherence_rate: 0.05
+  optimization:
+    iterations: 100
+    convergence_threshold: 0.001
+    mutation_rate: 0.1
+
+evolution:
+  cycles:
+    default: 30
+    max: 50
+    early_stopping: true
+    patience: 3
+  population:
+    size: 10
+    elite_ratio: 0.2
+    mutation_probability: 0.3
+    crossover_probability: 0.7
+  fitness:
+    complexity_weight: -0.3
+    maintainability_weight: 0.4
+    performance_weight: 0.3
+  convergence:
+    omega_threshold: 0.85
+    improvement_threshold: 0.01
+    stagnation_limit: 3
+
+analysis:
+  patterns:
+    check_anti_patterns: true
+    check_design_patterns: true
+    check_code_smells: true
+    check_security_issues: true
+  metrics:
+    cyclomatic_complexity:
+      max_average: 10
+      max_single: 20
+    coupling:
+      max_afferent: 10
+      max_efferent: 15
+    cohesion:
+      min_lcom: 0.5
+      target_lcom: 0.8
+    duplication:
+      max_percentage: 10
+      min_block_size: 5
+  coverage:
+    min_line: 60
+    min_branch: 50
+    min_function: 70
+
+advanced:
+  self_modification:
+    enabled: false
+    require_confirmation: true
+    max_recursion_depth: 3
+  distributed_evolution:
+    enabled: false
+    nodes: 1
+    sync_interval: 60
+  neural_synthesis:
+    enabled: false
+    model_path: null
+    training_data: null
+  consciousness_simulation:
+    enabled: true
+    awareness_threshold: 0.8
+    emergence_detection: true

configs/nnsl_toe_lab.yaml

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+nnsl_toe_lab:
+  service:
+    host: "0.0.0.0"
+    port: 8080
+
+  solvers:
+    spectral_gap:
+      backend: "numpy_eigvalsh"
+      max_system_size: 8
+      precision: 1e-6
+      max_iterations: 1
+
+    rg_flow:
+      backend: "logistic_map"
+      max_depth: 512
+      stop_if_fixed_point: true
+
+  logging:
+    level: "INFO"
+    json: true
+
+  observability:
+    prometheus:
+      enabled: true
+      path: "/metrics"

configs/rex_simuniverse.yaml

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+sim_universe:
+  enabled: true
+  corpus_id: "REx.SimUniverseCorpus.v0.1"
+
+  nnsl_endpoint:
+    base_url: "http://nnsl-toe-lab:8080"
+    timeout_seconds: 60
+
+  worlds:
+    default_toe_candidate: "toe_candidate_flamehaven"
+    default_host_model: "algorithmic_host"
+    default_resolution:
+      lattice_spacing: 0.1
+      time_step: 0.01
+      max_steps: 1000
+    default_energy_budget:
+      max_flops: 1e30
+      max_wallclock_seconds: 3600
+      notes: "Toy budget; adjust by cluster capacity and astro constraints."
+
+  astro_constraints:
+    universe_ops_upper_bound: 1e120
+    default_diag_cost_per_dim3: 10.0
+    default_rg_cost_per_step: 100.0
+    safety_margin: 10.0
+
+  witnesses:
+    include:
+      - "spectral_gap_2d"
+      - "rg_flow_uncomputable"
+
+  metrics:
+    enable_prometheus: true
+    labels:
+      tenant: "flamehaven"
+      service: "rex-simuniverse"
+      stage: "research"
+    histograms:
+      undecidability_index:
+        buckets: [0.0, 0.2, 0.4, 0.6, 0.8, 1.0]
+    exports:
+      - "simuniverse_coverage_alg"
+      - "simuniverse_coverage_meta"
+      - "simuniverse_energy_feasibility"
+      - "simuniverse_sim_plausibility"
+
+  governance:
+    stage0_evidence_gate:
+      min_evidence_score: 0.7
+      required_clusters:
+        - "core.faizal_mtoe"
+        - "philo.simulation_muh"
+
+    stage5_simulation_gate:
+      enabled: true
+      rules:
+        - "coverage_alg >= 0.6 OR coverage_meta >= 0.4"
+        - "energy_feasibility >= 0.5"
+
+  finops:
+    fti_target_max: 1.05
+    link_to_asdpi_blueprint: "blueprint-v2.5.1"