feat(simulation): K4 — closed-loop two-run simulation binds §11 'Closed loop' (closes R-1)
Scripted two-run driver over the run.py composition: run A -> persona verdict (shared skill artifact) -> §6 promotion gate -> run B on a fresh store. The marker crosses runs via the promoted wiki layer ONLY - run B reads no inbox, a rejected verdict is refused fail-closed and its marker never crosses. Two detach proofs delivered (promotion step removed -> red; verdict exclusion in bundle_context removed -> red via the '## verdict' section anchor). Known-limitation note (C-F5, deferred to C3.2): a persona verdict over the bundle seed's own candidate mints the seed's §4.2 id and is silently shadowed by first-write-wins; the test has run A propose a distinct candidate. 395 -> 400 tests; README synced (test count + the S10 section now reflects that D7 has its own scripted closed-loop proof). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
parent
3587854074
commit
d4efdd9a35
3 changed files with 341 additions and 5 deletions
12
README.md
12
README.md
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@ -13,7 +13,7 @@ human-in-the-loop, and the system learns from the verdicts.
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> **Status:** the D7 build (S5–S10) is complete, and the deterministic **ingest layer**
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> (CSV and SQL source types) has since been added in front of the loop. The deterministic
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> backbone, the agentic loop, the learning loop, and the ingest connectors are wired seam by
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> seam, each proven by load-bearing tests (395 tests, all running offline without an API
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> seam, each proven by load-bearing tests (400 tests, all running offline without an API
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> key). The programme's single budgeted **live model run has been executed and validated** —
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> its artifacts are committed under [`runs/s10/`](runs/s10/) (see below).
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@ -130,9 +130,11 @@ layer works and how one would extend it is documented in [`docs/extending.md`](d
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## The live run — S10, executed and validated
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Where the MAF sibling proves its loop end-to-end with a scripted offline simulation, this
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repo's end-to-end proof is the programme's single budgeted **real** run (D6: exactly one
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live API run in the whole programme), executed 2026-07-03 against the micro bundle
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The loop's closure is proven offline by a scripted two-run simulation
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(`simulation.py`: run A → persona verdict → §6 promotion gate → run B on a fresh store —
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the marker crosses runs via the gate, and never without it). On top of that offline proof
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sits the programme's single budgeted **real** run (D6: exactly one live API run in the
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whole programme), executed 2026-07-03 against the micro bundle
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[`shared/examples/bygg-energi-mikro/`](shared/examples/bygg-energi-mikro/):
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- exit 0 · validator `validated` · checker `approve` on the first attempt · 2 of 12
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@ -156,7 +158,7 @@ Python ≥3.10 · [`claude-agent-sdk`](https://pypi.org/project/claude-agent-sdk
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```bash
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uv sync # install dependencies
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uv run pytest # 395 tests — run without any API key and without network
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uv run pytest # 400 tests — run without any API key and without network
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uv run ruff check . && uv run ruff format --check .
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uv run mypy src # strict
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```
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152
src/portfolio_optimiser_claude/simulation.py
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152
src/portfolio_optimiser_claude/simulation.py
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@ -0,0 +1,152 @@
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"""Closed-loop two-run simulation driver (method-spec §11 «Closed loop»; §3 Steps 7–8, §6).
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Honesty rule (§1): this is a SCRIPTED stand-in, not a live experiment. The
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driver makes no model calls of its own — both runs use injected ``ModelClient``
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instances (scripted in the suite), and the persona plays the human expert from
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the shared skill artifact. What it proves is the loop's closure: run A →
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persona judgement → §6 promotion gate → run B with a FRESH store, where the
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marker reaches run B's hypothesis prompt through the promoted wiki layer and
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the gated fold ONLY. Run B deliberately reads NO inbox: the persona's raw
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verdict is authored into the inbox (§3 Step 7 write side), but the sole
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sanctioned crossing channel between runs is the gate — a rejected verdict is
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refused there (fail-closed, recorded, nothing written) and its marker must
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never cross. ``timestamp`` is an explicit required argument (no wall-clock
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default) — the whole simulation is deterministic and reproducible.
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"""
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from __future__ import annotations
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from dataclasses import dataclass
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from pathlib import Path
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from portfolio_optimiser_claude.budget import BudgetMeter
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from portfolio_optimiser_claude.contracts import Contracts, load_contracts
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from portfolio_optimiser_claude.experience import CandidateFeatures
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from portfolio_optimiser_claude.inbox import VerdictDocument
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from portfolio_optimiser_claude.loop import ModelClient, RunResult, run_project
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from portfolio_optimiser_claude.persona import drop_persona_verdict
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from portfolio_optimiser_claude.promotion import PromotionError, promote
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from portfolio_optimiser_claude.run import ComposedRunContext, compose_run_context
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_PERSONA_APPROVER = "persona:expert-reviewer"
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_VERDICT_DESCRIPTION = "closed-loop simulation: persona judgement of run A's candidate"
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@dataclass(frozen=True)
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class SimulationRun:
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"""One simulated run: the §5 composition that fed it plus the §3 result."""
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composed: ComposedRunContext
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result: RunResult
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@dataclass(frozen=True)
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class ClosedLoopResult:
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"""The two-run outcome: what run A produced, what the gate did, what run B saw.
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Exactly one of ``promoted_path`` / ``promotion_refusal`` is set: the §6
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gate either promoted the persona's verdict into the bundle or refused it
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fail-closed (the refusal reason recorded, nothing written).
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"""
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run_a: SimulationRun
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verdict: VerdictDocument
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promoted_path: Path | None
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promotion_refusal: str | None
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run_b: SimulationRun
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def _run_once(
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client: ModelClient,
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bundle_dir: Path,
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contracts: Contracts,
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*,
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max_debate_rounds: int,
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max_attempts: int,
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) -> SimulationRun:
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# Fresh store (inside compose) and fresh §8 meter per run — nothing crosses
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# runs except what the promotion gate wrote into the bundle.
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composed = compose_run_context(bundle_dir, None, k=contracts.data_source.top_k)
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result = run_project(
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client,
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composed.context,
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meter=BudgetMeter(contracts.termination),
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max_debate_rounds=max_debate_rounds,
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max_attempts=max_attempts,
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default_project_id=composed.ir_projection.project_id,
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)
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return SimulationRun(composed=composed, result=result)
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def simulate_closed_loop(
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bundle_dir: Path,
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persona_artifact: Path,
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inbox_dir: Path,
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*,
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client_a: ModelClient,
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client_b: ModelClient,
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timestamp: str,
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experiment: str,
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k: int = 3,
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max_rounds: int = 12,
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max_tokens: int = 150_000,
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max_debate_rounds: int = 3,
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max_attempts: int = 3,
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) -> ClosedLoopResult:
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"""Drive the closed loop: run A → persona verdict → §6 gate → run B (fresh store).
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The persona judges run A's actual candidate (§4.2: the verdict id is
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minted from the produced proposal's features) and authors the verdict
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through the inbox primitive. The gate then decides: an approved verdict is
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promoted into the bundle's wiki layer; anything else is refused fail-closed
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and recorded. Run B recomposes from the bundle alone — the promoted layer
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is the ONLY channel a judgement may cross runs on.
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"""
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contracts = load_contracts(
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data_source={"docs_dir": str(bundle_dir), "top_k": k},
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termination={"max_rounds": max_rounds, "max_tokens": max_tokens},
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feedback={"decision": "approved", "rationale": "startup shape check (§10)"},
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)
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# The navigated dir is the CONTRACT's, so the validated config is load-bearing.
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bundle = Path(contracts.data_source.docs_dir)
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run_a = _run_once(
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client_a,
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bundle,
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contracts,
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max_debate_rounds=max_debate_rounds,
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max_attempts=max_attempts,
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)
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verdict = drop_persona_verdict(
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inbox_dir,
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persona_artifact,
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CandidateFeatures.from_proposal(run_a.result.proposal),
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description=_VERDICT_DESCRIPTION,
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)
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promoted_path: Path | None
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promotion_refusal: str | None
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try:
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promoted_path = promote(
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verdict,
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bundle,
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approved_by=_PERSONA_APPROVER,
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experiment=experiment,
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timestamp=timestamp,
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)
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promotion_refusal = None
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except PromotionError as refusal:
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promoted_path = None
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promotion_refusal = str(refusal)
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run_b = _run_once(
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client_b,
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bundle,
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contracts,
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max_debate_rounds=max_debate_rounds,
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max_attempts=max_attempts,
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)
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return ClosedLoopResult(
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run_a=run_a,
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verdict=verdict,
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promoted_path=promoted_path,
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promotion_refusal=promotion_refusal,
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run_b=run_b,
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)
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182
tests/test_simulation_loadbearing.py
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182
tests/test_simulation_loadbearing.py
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"""Closed-loop two-run simulation — LOAD-BEARING (K4/R-1; method-spec §11 «Closed loop»).
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The seam this file keeps alive: the persona's marker crosses from run A to
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run B's hypothesis prompt VIA the §6 promotion gate — and NEVER crosses
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without it. Both directions are bound: detach the promotion step from the
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driver → the marker is absent from run B → red; render the verdict layer
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into the read-context → the marker leaks around the gated fold → red (the
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verdict-exclusion invariant, re-proven at simulation level).
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"""
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from __future__ import annotations
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import json
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from pathlib import Path
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import pytest
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from _scripted import ScriptedClient, reply
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from portfolio_optimiser_claude.ir import load_validator_input
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from portfolio_optimiser_claude.okf import bundle_context
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from portfolio_optimiser_claude.persona import load_persona_example
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from portfolio_optimiser_claude.simulation import ClosedLoopResult, simulate_closed_loop
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SHARED_BUNDLE = Path(__file__).resolve().parents[1] / "shared" / "examples" / "bygg-energi-mikro"
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SHARED_ARTIFACT = (
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Path(__file__).resolve().parents[1]
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/ "shared"
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/ "skills"
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/ "expert-reviewer"
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/ "references"
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/ "example-verdict.json"
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)
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# The shared artifact's own marker (realiseringsgrad=0.79) — distinct from the
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# bundle seed's 0.82, so its presence in run B proves the PROMOTION crossing,
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# not the pre-existing seeding path.
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MARKER = load_persona_example(SHARED_ARTIFACT).marker
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TIMESTAMP = "2026-07-17T04:00:00Z"
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EXPERIMENT = "K4-closed-loop-sim"
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@pytest.fixture()
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def bundle(tmp_path: Path) -> Path:
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import shutil
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target = tmp_path / "bundle"
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shutil.copytree(SHARED_BUNDLE, target)
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return target
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def _proposal_json(bundle: Path, *, measure_suffix: str = "") -> str:
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proposal = load_validator_input(bundle).model_dump()
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if measure_suffix:
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proposal["measure"] = f"{proposal['measure']}{measure_suffix}"
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return json.dumps(proposal)
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def _scripted_client(proposal_json: str) -> ScriptedClient:
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# One full run: debate round (proposer + approving checker) + generation.
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return ScriptedClient(
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replies=[reply("debate reasoning"), reply("VERDICT: APPROVE"), reply(proposal_json)]
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)
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def _simulate(
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bundle: Path, artifact: Path, inbox: Path
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) -> tuple[ClosedLoopResult, ScriptedClient, ScriptedClient]:
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# Run A proposes a DISTINCT candidate (measure variant): the persona's
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# verdict then gets its own §4.2 id. Judging the bundle seed's own
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# candidate would mint the seed's id, and the store's first-write-wins
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# would silently shadow the promoted rationale behind the seed (the known
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# C-F5 feature-keying limitation — deferred to C3.2, not worked around
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# in src).
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client_a = _scripted_client(_proposal_json(bundle, measure_suffix="-simulert-variant"))
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client_b = _scripted_client(_proposal_json(bundle))
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result = simulate_closed_loop(
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bundle,
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artifact,
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inbox,
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client_a=client_a,
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client_b=client_b,
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timestamp=TIMESTAMP,
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experiment=EXPERIMENT,
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)
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return result, client_a, client_b
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def _rejecting_artifact(tmp_path: Path, marker: str) -> Path:
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path = tmp_path / "rejecting-example-verdict.json"
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path.write_text(
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json.dumps(
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{
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"decision": "rejected",
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"marker": marker,
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"rationale": f"Avvist: driftstimene er overestimert ({marker}).",
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}
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),
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encoding="utf-8",
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)
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return path
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class TestMarkerCrossesViaPromotion:
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"""§11 «Closed loop», direction 1: WITH promotion the marker MUST cross."""
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def test_the_persona_marker_reaches_run_b_via_promotion(
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self, bundle: Path, tmp_path: Path
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) -> None:
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result, _, client_b = _simulate(bundle, SHARED_ARTIFACT, tmp_path / "inbox")
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# The marker did not exist anywhere before the persona judged run A.
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assert MARKER not in result.run_a.composed.context
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# The gate promoted the approved verdict into the bundle...
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assert result.promoted_path is not None and result.promoted_path.is_file()
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assert result.promotion_refusal is None
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# ...and run B's FRESH store picked it up through seeding into the fold.
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assert result.run_b.composed.seeded == result.run_a.composed.seeded + 1
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assert MARKER in result.run_b.composed.context
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# Detach proof 1 anchor: the marker reaches run B's actual prompts.
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assert any(MARKER in prompt for prompt in client_b.prompts("proposer"))
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def test_both_runs_complete_against_the_scripted_clients(
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self, bundle: Path, tmp_path: Path
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) -> None:
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result, _, _ = _simulate(bundle, SHARED_ARTIFACT, tmp_path / "inbox")
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assert result.run_a.result.validator_decision == "validated"
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assert result.run_b.result.validator_decision == "validated"
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# The persona judged run A's candidate — the verdict carries its rationale.
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assert MARKER in result.verdict.rationale
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class TestMarkerNeverCrossesWithoutPromotion:
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"""§11 «Closed loop», direction 2: WITHOUT promotion the marker NEVER crosses.
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The rejected persona verdict IS authored into the inbox — if run B read the
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inbox (or any channel other than the promoted wiki layer), the marker would
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cross anyway and this control goes red.
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"""
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def test_a_rejected_verdict_is_refused_and_the_marker_stays_out(
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self, bundle: Path, tmp_path: Path
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) -> None:
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marker = "realiseringsgrad=0.11"
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artifact = _rejecting_artifact(tmp_path, marker)
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result, _, client_b = _simulate(bundle, artifact, tmp_path / "inbox")
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assert result.promoted_path is None
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assert result.promotion_refusal is not None
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assert "rejected" in result.promotion_refusal
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assert marker not in result.run_b.composed.context
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assert all(marker not in prompt for prompt in client_b.prompts("proposer"))
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def test_a_refused_promotion_leaves_the_bundle_untouched(
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self, bundle: Path, tmp_path: Path
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) -> None:
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before = {p.name: p.read_bytes() for p in bundle.iterdir()}
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_simulate(
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bundle, _rejecting_artifact(tmp_path, "realiseringsgrad=0.11"), tmp_path / "inbox"
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)
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after = {p.name: p.read_bytes() for p in bundle.iterdir()}
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assert after == before
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class TestGatedFoldIsTheOnlyChannel:
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"""LOAD-BEARING (§11): the marker crosses ONLY via the gated experience fold.
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Detach proof 2 anchor: render the verdict layer into the read-context and
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the marker leaks into the base context around the fold — red.
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"""
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def test_the_verdict_layer_is_never_rendered_into_either_context(
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self, bundle: Path, tmp_path: Path
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) -> None:
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result, _, _ = _simulate(bundle, SHARED_ARTIFACT, tmp_path / "inbox")
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assert MARKER in result.run_b.composed.context # crossing happened...
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# ...but NO verdict-typed concept is rendered into the read-context —
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# a `## verdict` section in either run's context means the seed's (or
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# a promoted file's) body leaked around the gated fold (§3 Step 1).
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assert "## verdict" not in result.run_a.composed.context
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assert "## verdict" not in result.run_b.composed.context
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# Belt and braces: the promoted marker itself never surfaces via
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# rendering (promoted files are frontmatter-only by design, §6).
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assert MARKER not in bundle_context(bundle)
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Loading…
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Reference in a new issue