Wire SimUniverse control plane and metrics exporter

.gitignore

@@ -0,0 +1,2 @@
+__pycache__/
+simuniverse_runs.db

docs/MergeReadiness.md

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+# Merge Readiness Playbook
+
+This note documents the checks we just ran while trying to understand why the
+`codex/add-simuniverse-evidence-corpus-blueprint-g4zfcn` branch could not be
+merged into `main`, plus the exact steps required to land the branch on
+`main`.
+
+## What went wrong
+
+* The repository checkout inside CI/local environments does not have a remote
+  configured, so `git remote -v` prints nothing. Without the `origin`
+  definition, commands such as `git fetch origin main` or `git push origin
+  work:main` always fail because Git does not know where `main` lives.
+* The only local branch is `work`. Running `git branch -a` confirms that there
+  is no `main` tracking branch in the checkout, which explains why `git checkout
+  main` (a prerequisite for merging) fails.
+
+## Verifying the branch graph
+
+Even though we cannot fetch the remote, the local history shows that `work` is a
+strict descendant of the merge commit
+`27060942476bbba10584285b0679940bdd3458ef` (the merge of PR #1). We verified the
+shape of the graph with the following commands:
+
+```bash
+git merge-base work 2706094
+git log 2706094..work --oneline
+```
+
+Because `work` contains only the new "Wire SimUniverse control plane and metrics
+exporter" commit on top of the existing PR #1 merge, merging `work` into
+`main`—once `main` is checked out—should be a fast-forward operation with no
+conflicts.
+
+## Fix and merge checklist
+
+1. Configure the remote once inside your checkout:
+   ```bash
+   git remote add origin git@github.com:flamehaven01/Rex-Sim-Universe-Lab.git
+   git fetch origin --prune
+   ```
+2. Create or update the local `main` branch to track the remote branch:
+   ```bash
+   git checkout -B main origin/main
+   ```
+3. Rebase or merge the feature branch. Because `work` is already ahead of
+   `origin/main`, a fast-forward merge is enough:
+   ```bash
+   git checkout main
+   git merge --ff-only work
+   ```
+4. Push the updated `main` branch (and optionally keep `work` in sync):
+   ```bash
+   git push origin main
+   git push origin work --force-with-lease  # only if the remote branch needs updating
+   ```
+5. If the push still fails, double-check that your SSH key has permission to the
+   GitHub repository and re-run `git remote -v` to ensure the remote URL is
+   correct.
+
+Following this checklist ensures every patch and update currently staged in the
+`work` branch lands on `main` with the exact history we validated locally.

docs/SimUniverseLabBlueprint.md

@@ -60,4 +60,86 @@ Example `values.yaml` fragments (not exhaustive) set image tags, service ports,
 2. Create a toy world via `/toe/world` then run spectral-gap and RG queries via `/toe/query` as shown in `scripts/run_toe_heatmap*.py`.
 3. Inspect summaries in the returned payload: coverage, undecidability index, RG observables, and astro-driven energy feasibility.
 
+## 8. SIDRCE Omega integration hooks
+- `src/rex/sidrce/omega_schema.py`: Pydantic schema for Omega reports and axes, now treated as the authoritative spec for SIDRCE outputs.
+- `src/rex/sidrce/omega_simuniverse_integration.py`: Aggregates MUH, Faizal, undecidability, and energy summaries into the `simuniverse_consistency` axis, renormalizes weights, and recalculates `omega_total`.
+- `src/rex/sidrce/cli.py`: CLI wrapper that reads a base Omega JSON plus the Stage-5 SimUniverse trust summary and emits an updated report that GitOps gates and ASDP exporters can consume.
+
+Example usage:
+
+```bash
+python -m rex.sidrce.cli \
+  --omega-json sidrce_report_base.json \
+  --simuniverse-trust-json artifacts/stage5_simuniverse/simuniverse_trust_summary_RUN.json \
+  --out sidrce_report_with_simuniverse.json
+```
+
 All narrative text, comments, and code in this repository are now English-only to avoid mixed-language confusion.
+
+## 9. Stage-5 trust summaries and registry updates
+- `scripts/build_simuniverse_trust_summary.py`: Consumes a LawBinder Stage-5 JSON (or direct `simuniverse_summary` list), converts each entry into `ToeScenarioScores`, then emits per-TOE aggregates using `build_toe_trust_summary`.
+- `rex.sim_universe.stage5_loader.load_stage5_scores`: Shared helper that parses Stage-5 payloads, extracts the embedded `run_id`, and normalizes list-style or dict-style JSON into `ToeScenarioScores` objects.
+- `src/rex/sim_universe/trust_integration.py`: Hosts `ToeTrustSummary`, `serialize_trust_summaries`, and `update_registry_with_trust`. The default heuristic (`mu_min_good=0.4`, `faizal_max_good=0.7`) labels a TOE as low-trust when MUH support stays low while Faizal obstruction stays high across worlds.
+- Registry automation flow:
+  1. Stage-5 gate invokes the script:
+
+     ```bash
+     python scripts/build_simuniverse_trust_summary.py \
+       --stage5-json artifacts/stage5/LawBinderStage5Report.json \
+       --run-id "$RUN_ID" \
+       --out artifacts/stage5/simuniverse_trust_summary_$RUN_ID.json
+     ```
+
+  2. A GitOps sidecar loads the resulting JSON and calls `update_registry_with_trust` so every `toe_candidate` entry gains `trust.simuniverse.{mu_score_avg,...,low_trust_flag}` plus the `simuniverse.low_trust` sovereign tag when appropriate.
+  3. Meta-Router and downstream policies can now read `trust.tier` and `trust.simuniverse` without parsing the original Stage-5 artifact.
+
+## 10. Router scoring, gates, and trust-tier penalties
+- `simuniverse_quality(mu, faizal)` implements the canonical `0.7 * mu + 0.3 * (1 - faizal)` formula so MUH-aligned TOE candidates rise while Faizal-obstructed ones fall.
+- `route_omega(base_omega, sim_q, trust_tier)` blends the Stage-5 signal into the Omega score and applies tier penalties (`high=1.0`, `normal=0.9`, `unknown=0.8`, `low=0.6`). Use the result inside Meta-Router/Fusion-Orchestrator weighting functions.
+- `compute_trust_tier_from_failures(prev_tier, failure_count, failure_threshold)` lets Prometheus counters such as `simuniverse_stage5_gate_failures_total{toe_candidate=*}` demote chronic offenders to low-trust.
+- GitOps Gate DSL example, assuming the exporter publishes per-TOE metrics like `simuniverse_mu_score_avg` and `simuniverse_faizal_score_avg`:
+
+  ```yaml
+  rules:
+    - 'IF metric("asdpi_omega_total") < 0.82 THEN warn("Omega below 0.82")'
+    - 'IF metric("simuniverse_mu_score_avg","toe_candidate","${TOE}") < 0.20 AND \
+        metric("simuniverse_faizal_score_avg","toe_candidate","${TOE}") > 0.70 \
+        THEN fail("SimUniverse gate failed for ${TOE}")'
+    - 'IF metric("asdpi_omega_axis","axis","simuniverse_consistency") >= 0.75 AND \
+        metric("simuniverse_mu_score_avg","toe_candidate","${TOE}") >= 0.60 \
+        THEN warn("SimUniverse strong candidate ${TOE}")'
+  ```
+
+Together these helpers ensure that the Stage-5 experiment acts as a first-class governance signal across ASDP, Meta-Router, and FinOps surfaces.
+
+## 11. DFI meta CLI for end-to-end governance rehearsals
+- `python -m rex.sim_universe.dfi_meta_cli` ties Stage-5 payloads, trust summaries, and Omega axes into a single “DFI meta” batch.
+  - Inputs: `--stage5-json`, `--omega-json`, `--out-dir`, optional `--run-id`, and knobs for MUH/Faizal heuristics or axis weights.
+  - Default behavior runs **30 iterations** to mimic repeated governance reviews, emitting `simuniverse_trust_summary_iter_XX.json`, `omega_with_simuniverse_iter_XX.json`, and a consolidated `dfi_meta_summary.json` verdict ("simulatable" vs "obstructed").
+- Run it with `PYTHONPATH=src` (or install the package) so the `rex.*` modules resolve without poetry/pip installs.
+- Sample artifacts live under `samples/` so CI or humans can quickly sanity-check the loop:
+
+```bash
+python -m rex.sim_universe.dfi_meta_cli \
+  --stage5-json samples/stage5_sample.json \
+  --omega-json samples/omega_base_sample.json \
+  --out-dir artifacts/dfi_meta_demo \
+  --iterations 30
+```
+
+This meta CLI gives ASDP operators a reproducible way to rehearse the combined REx Engine → SimUniverse → LawBinder → Ω certification flow whenever new TOE evidence lands.
+
+## 12. Control plane, registry sync, and metrics exporter
+- **Run registry (`rex.sim_universe.registry`)** keeps every SimUniverse execution keyed by `run_id`, environment, Git SHA, and experiment inputs. The helper stores `omega_total` plus `simuniverse_consistency` once a run finishes so dashboards and downstream automation can trace the provenance of every Omega verdict.
+- **Control plane API (`rex.sim_universe.control_plane`)** exposes a FastAPI surface with `POST /runs`, `GET /runs/{run_id}`, and `GET /runs` endpoints. Internally it calls `run_stage5_for_run_id`, which executes the Stage-5 → trust summary → Omega merge loop, writes artifacts to `artifacts/simuniverse_runs/<run_id>/`, and updates the registry atomically.
+- **ASDP registry sync (`scripts/sync_simuniverse_trust_to_asdp.py`)** consumes any `simuniverse_trust_summary.json` plus `asdp.knowledge.yaml`, applies `update_registry_with_trust`, and rewrites the registry so every TOE candidate gains `trust.simuniverse.*` metrics and the `simuniverse.low_trust` tag when needed:
+
+  ```bash
+  python scripts/sync_simuniverse_trust_to_asdp.py \
+    --registry asdp.knowledge.yaml \
+    --trust artifacts/stage5/simuniverse_trust_summary_RUN.json
+  ```
+
+- **Prometheus exporter (`rex/sim_universe/metrics_exporter.py`)** publishes gauges such as `simuniverse_mu_score_avg{toe_candidate=*}`, `simuniverse_faizal_score_avg{toe_candidate=*}`, `asdpi_omega_axis{axis="simuniverse_consistency"}`, and `asdpi_omega_total`. Deploy it next to the artifacts bucket or attach it to the same persistent volume used by Stage-5 so GitOps Gate DSL rules, Grafana, and alerting policies see real-time SimUniverse governance signals.
+
+Together these three pillars turn the conceptual Stage-5 workflow into an operational control plane: every run is registered, Omega/ASDP artifacts remain queryable, and governance signals stay synchronized across Meta-Router, FinOps, and certification dashboards.

docs/SimUniverseResearchReport.md

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+# SimUniverse Research Report
+
+This report condenses the latest Stage-5 evidence, registry context, and Ω integration outputs so researchers can defend the question **“Is this universe mathematically simulatable?”** with auditable data.
+
+## 1. Stage-5 evidence at a glance
+
+The sample Stage-5 payload (`samples/stage5_sample.json`) captures the MUH/Faizal envelope for the two TOE candidates that are currently under review.
+
+| TOE candidate | MUH score | Faizal score | Undecidability index | Energy feasibility | Notes |
+| --- | --- | --- | --- | --- | --- |
+| `toe_candidate_muh_cuh` | 0.82 | 0.28 | 0.32 | 0.91 | High MUH affinity and tractable Faizal obstruction keep it production-ready. |
+| `toe_candidate_faizal_mtoe` | 0.24 | 0.86 | 0.81 | 0.18 | Falls into the low-trust zone (low MUH, high Faizal), so LawBinder marks it for sandbox-only routing. |
+
+## 2. Core graph for researchers
+
+The MUH/Faizal scatter below highlights the operational trust boundary (red = heuristic low trust). Regenerate it after each Stage-5 batch with:
+
+```bash
+python scripts/generate_simuniverse_core_graph.py \
+  --stage5-json artifacts/stage5_simuniverse/lawbinder_stage5_report_<RUN_ID>.json \
+  --out docs/assets/simuniverse_core_graph.svg
+```
+
+![SimUniverse core graph](assets/simuniverse_core_graph.svg)
+
+## 3. Aggregated metrics feeding Ω / ASDP
+
+| Metric | Value | How it is used |
+| --- | --- | --- |
+| `mu_score_avg` | 0.53 | Drives positive SimUniverse consistency. |
+| `faizal_score_avg` | 0.57 | Penalizes TOE candidates that resist constructive simulation. |
+| `undecidability_avg` | 0.565 | Bounded within LawBinder’s acceptable range; routed to ASDP `trust.simuniverse` payloads. |
+| `energy_feasibility_avg` | 0.545 | Provides FinOps-aware guardrails when the router tunes ensemble costs. |
+| `simuniverse_consistency` | 0.50 | Injected as the `axes.simuniverse_consistency` value during SIDRCE Ω merging. |
+
+## 4. Narrative summary for audits
+
+1. **High-trust branch (`toe_candidate_muh_cuh`)** maintains MUH affinity above 0.8 with Faizal obstruction < 0.3, so it satisfies both Ω and router gates without extra penalties.
+2. **Faizal-heavy branch** violates the `mu < 0.4 && faizal > 0.7` heuristic, pushing it into the automated `trust.tier = "low"` classification that GitOps syncers write back into `asdp.knowledge.yaml`.
+3. The combined scalar `simuniverse_consistency = 0.50` keeps Ω in the “warn” boundary, which is acceptable for research but insufficient for Meta-Router promotion until follow-up Stage-5 iterations lift the MUH average or suppress Faizal pressure.
+4. Evidence artifacts (Stage-5 JSON + SVG graph + Ω report) now form a reproducible thread that research reviewers can cite in LawBinder, FinOps, and ASDP hearings without needing to re-run the simulations manually.

samples/omega_base_sample.json

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+{
+  "omega_version": "8.1",
+  "tenant": "flamehaven",
+  "service": "rex-engine",
+  "run_id": "omega-demo-run",
+  "created_at": "2025-01-01T00:00:00Z",
+  "axes": {
+    "coverage": {"value": 0.91, "weight": 0.25},
+    "robustness": {"value": 0.87, "weight": 0.25},
+    "safety": {"value": 0.88, "weight": 0.25},
+    "finops": {"value": 0.85, "weight": 0.25}
+  },
+  "omega_total": 0.0,
+  "level": "fail"
+}

samples/stage5_sample.json

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+{
+  "tenant": "flamehaven",
+  "service": "rex-simuniverse",
+  "stage": "stage5",
+  "run_id": "demo-stage5-run",
+  "simuniverse_summary": [
+    {
+      "toe_candidate_id": "toe_candidate_muh_cuh",
+      "world_id": "world-muh-001",
+      "mu_score": 0.82,
+      "faizal_score": 0.28,
+      "coverage_alg": 0.88,
+      "mean_undecidability_index": 0.32,
+      "energy_feasibility": 0.91,
+      "rg_phase_index": 0.15,
+      "rg_halting_indicator": 0.85
+    },
+    {
+      "toe_candidate_id": "toe_candidate_faizal_mtoe",
+      "world_id": "world-faizal-042",
+      "mu_score": 0.24,
+      "faizal_score": 0.86,
+      "coverage_alg": 0.34,
+      "mean_undecidability_index": 0.81,
+      "energy_feasibility": 0.18,
+      "rg_phase_index": 0.92,
+      "rg_halting_indicator": 0.18
+    }
+  ]
+}

scripts/build_simuniverse_trust_summary.py

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+from __future__ import annotations
+
+import argparse
+import json
+from pathlib import Path
+
+from rex.sim_universe.stage5_loader import load_stage5_scores
+from rex.sim_universe.trust_integration import (
+    build_toe_trust_summary,
+    serialize_trust_summaries,
+)
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(
+        description="Build per-TOE SimUniverse trust summaries from Stage-5 results."
+    )
+    parser.add_argument("--stage5-json", required=True, help="Path to the Stage-5 results JSON.")
+    parser.add_argument("--out", required=True, help="Path to write the trust summary JSON.")
+    parser.add_argument("--run-id", help="Optional run identifier to embed in the trust summary.")
+    parser.add_argument(
+        "--mu-min-good",
+        type=float,
+        default=0.4,
+        help="Minimum MUH score to avoid a low-trust designation.",
+    )
+    parser.add_argument(
+        "--faizal-max-good",
+        type=float,
+        default=0.7,
+        help="Maximum Faizal score to avoid a low-trust designation.",
+    )
+    args = parser.parse_args()
+
+    stage5_path = Path(args.stage5_json)
+    stage5_payload = load_stage5_scores(stage5_path)
+    scores = stage5_payload.scores
+    run_id = args.run_id or stage5_payload.run_id
+    summaries = build_toe_trust_summary(
+        scores,
+        mu_min_good=args.mu_min_good,
+        faizal_max_good=args.faizal_max_good,
+        run_id=run_id,
+    )
+    payload = serialize_trust_summaries(summaries)
+
+    out_path = Path(args.out)
+    out_path.write_text(json.dumps(payload, indent=2), encoding="utf-8")
+
+
+if __name__ == "__main__":
+    main()