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feat(sim): reflexive world-state model for the calendar simulation - #6
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October 16, 2026 22:46
Every calendar round is now observe → decide → act → world update, shared by both OASIS platforms: - world_model.py: pure kernel — state variables with causal history and a per-round change-ratio clamp, actor states (capacity, plans, red lines, commitments), valenced relationships, delayed effects on a seeded RNG, events, public/private briefs that never carry scenario shares. - agent_decision.py: 18 agency classes with word-boundary inference, an action catalogue per class, world-grounded option menus (responses, documented plans, class levers within capacity, hold), a JSON decision contract validated against menu/cast/scenarios with typed invalid/failed holds, private memory notes. - world_update.py: deterministic kernel step, bounded arbiter prompt + validation + application, agent-facing digest, round record. - run_parallel_simulation.py: _ReflexiveWorldCoordinator — asyncio barrier (no platform starts round r+1 before update r commits), one shared decision per actor per round, statements published as tagged CREATE_POST ManualActions, USER memory notes (sealed system messages untouched), world_state.json / world_state_history.jsonl / world_actions.jsonl plus the unchanged trajectory/digest/decisions contract, resume guards, world_update rows in actions.jsonl. - PREPARE: world_model_seed.py builds the sealed world_model block from quantitative facts, official series, actor packs and relationships; AgentActivityConfig gains agency_class/archetype/outcome_power; ontology addendum + normalisation carry agency_class/levers. - Downstream: run-state projection, run_summary.world_model, GET /api/simulation/<id>/world-state, report world-evolution block and world-variables chart (EN/ZH titles), orchestrator summary, frontend WorldStatePanel with pure helpers, flags SIM_WORLD_MODEL / SIM_WORLD_ARBITER / SIM_WORLD_BARRIER_TIMEOUT_S / SIM_WORLD_DECISION_MAX_ACTORS / SIM_WORLD_DECISION_CONCURRENCY / SIM_WORLD_MAX_VARIABLES / SIM_WORLD_MAX_CHANGE_RATIO, .env.example and README EN/ZH. SIM_WORLD_MODEL=false and hours mode keep the legacy in-band scenario evolution byte-identical. Offline tests drive the real round loop with a fake env and scripted LLM (reflexivity, two-platform barrier, arbiter failure, off switches, resume).
Design with acceptance matrix, continuity record with verification evidence (full suite 6229 passed; only the two pre-existing demo-asset failures), feature_list entry (passes pending a live run) and the progress log entry.
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| missing = [p for p in self._known_platforms() | ||
| if p != str(platform) and p not in self._done | ||
| and self._watermark.get(p, -1) < round_num - 1] | ||
| self._stalled.update(missing) |
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When a two-platform run loses one platform before its first heartbeat or delivery, that platform is absent from _known_platforms(), so this timeout handler computes missing=[] and never adds it to _stalled. The surviving platform then cannot commit normally because the coordinator still expects two known platforms, causing another full SIM_WORLD_BARRIER_TIMEOUT_S wait before every subsequent round; with the default this can add 30 minutes per round after an initialization failure. Track the expected platform identities up front, or otherwise permanently reduce the live-platform set after the first timeout.
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| if self._ws is not None and self._world.scenario_shares: | ||
| # keep the mirrored scenario shares of a resumed run (the WorldState itself restarts from seed) | ||
| pass |
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On a partial resume, the committed WorldModel is loaded with its saved scenario_shares, but _ws remains freshly initialized from the original base rates and this branch does nothing. If any new rounds are committed, their shares are therefore evolved from the seed rather than the pre-crash distribution, and finalize() overwrites world_state_trajectory.json with a new trajectory containing only seed plus post-resume rounds. This changes the final forecast and discards the earlier trajectory, so the saved shares and existing trajectory/decisions need to be restored before continuing.
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| if _world_coord is not None: | ||
| # REFLEXIVE WORLD: a dead round still advances the world (due effects, events) | ||
| await _world_coord.heartbeat(_ckpt_platform, round_num) |
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When a calendar round has no active agents, this path calls heartbeat() without _scheduled_events_due(...); the heartbeat buffer initializes events as empty, unlike the normal deliver() path. Consequently, if all live platforms have a dead round—or a single-platform round falls into this branch—confirmed events scheduled for that period are silently omitted from register_scheduled_events, the arbiter prompt, and all later world briefs. Pass the due events through the heartbeat path so an inactive cast does not erase exogenous events.
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🟡 Changes recommended
Unresolved seed eligibility, decision constraints, update validation and resume defects can distort simulated outcomes.
13 open findings
What changed in this PR
Adds a shared, evolving world to calendar simulations so actors can observe consequences and adjust subsequent decisions.
Changes:
- Introduces research-seeded world facts, structured actor decisions and bounded world updates.
- Exposes world evolution through the API, dashboard, reports and run summaries.
- Adds offline coverage, configuration flags and design documentation.
| File | Description |
|---|---|
| README.zh-CN.md | Documents the workflow and settings in Chinese. |
| README.md | Documents the workflow and settings in English. |
| frontend/tests/worldState.test.mjs | Tests world-state formatting and summaries. |
| frontend/src/utils/worldState.js | Builds the panel view model. |
| frontend/src/utils/vizManifest.js | Adds the Chinese chart caption. |
| frontend/src/components/research/WorldStatePanel.vue | Displays and polls world state. |
| frontend/src/components/research/SimulationView.vue | Integrates the world-state panel. |
| frontend/src/api/simulation.js | Adds the world-state API client. |
| feature_list.json | Records acceptance steps and pending live validation. |
| docs/handoff/reflexive-world-state/design.md | Defines architecture and acceptance criteria. |
| backend/tests/test_world_update.py | Tests deterministic and arbiter updates. |
| backend/tests/test_world_model.py | Tests world-model mechanics and persistence. |
| backend/tests/test_world_model_seed.py | Tests seed generation and sealing. |
| backend/tests/test_world_model_loop.py | Tests round coordination, fallback and resume. |
| backend/tests/test_world_model_downstream.py | Tests API, reporting and summaries. |
| backend/tests/test_agent_decision.py | Tests action menus and decision validation. |
| backend/scripts/action_logger.py | Logs committed world updates. |
| backend/app/services/world_update.py | Coordinates mechanical and arbiter updates. |
| backend/app/services/world_model_seed.py | Builds research-grounded world seeds. |
| backend/app/services/simulation_runner.py | Projects updates and manages artifacts. |
| backend/app/services/simulation_config_generator.py | Adds actor metadata and sealed world seeds. |
| backend/app/services/report_visualizer.py | Charts simulated world variables. |
| backend/app/services/report_agent.py | Includes world evolution in reports. |
| backend/app/services/pipeline_orchestrator.py | Records world-model summaries. |
| backend/app/services/ontology_generator.py | Adds agency classes and lever metadata. |
| backend/app/services/agent_decision.py | Defines action catalogs and structured decisions. |
| backend/app/config.py | Adds world-model configuration flags. |
| backend/app/api/simulation.py | Exposes committed state and bounded history. |
| agent-progress.txt | Records implementation and verification status. |
| .env.example | Documents world-model environment settings. |
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| row: Dict[str, Any] = { | ||
| "name": name, | ||
| "value": number if number is not None else _clean(fact.get("value"), 160), | ||
| "unit": unit if number is not None else "", | ||
| "kind": "numeric" if number is not None else "text", |
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| if not isinstance(value, (int, float)) or isinstance(value, bool) or not math.isfinite(float(value)): | ||
| continue | ||
| if as_of and date and date > as_of: | ||
| continue | ||
| if latest is None or date > str(latest.get("date") or ""): |
| problems.append(f"empty value for '{var.id}'") | ||
| continue | ||
| row["new_value"] = val | ||
| update["variable_changes"].append(row) |
| except Exception as exc: # noqa: BLE001 — a failed arbiter must not break the round | ||
| logger.warning("world arbiter failed in round %s (status=failed): %s", round_num, exc) | ||
| return "failed", {}, [f"llm error: {type(exc).__name__}"] | ||
| update, problems = validate_arbiter_update(raw, world, scenarios) |
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| if self._ws is not None and self._world.scenario_shares: | ||
| # keep the mirrored scenario shares of a resumed run (the WorldState itself restarts from seed) | ||
| pass |
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| seed = float(hist[0]["value"]) | ||
| xs, ys, hover = [], [], [] | ||
| for h in hist: | ||
| rnd = int(h.get("round") or 0) | ||
| xs.append(labels.get(rnd) or (f"period {rnd}" if rnd else "seed")) | ||
| raw = float(h["value"]) | ||
| ys.append(raw / seed * 100.0 if seed not in (0.0, -0.0) else raw) |
| if plotted == 0: | ||
| return None | ||
| _apply_layout(fig, "Simulated World Variables (indexed, seed = 100)", height=460) | ||
| fig.update_layout(xaxis_title="Simulated period", yaxis_title="Index (seed value = 100)") |
| self.add_variable(nv["name"], nv.get("value"), unit=nv.get("unit") or "", | ||
| kind=nv.get("kind") or "numeric", as_of=str((self.period or {}).get("period_end") or ""), | ||
| provenance="arbiter", rationale=nv.get("rationale") or "", var_id=vid) | ||
| summary["variables_added"].append({"id": vid, "name": self.variables[vid].name, |
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| def _num(value: Any) -> Optional[float]: | ||
| if isinstance(value, bool): | ||
| return None | ||
| if isinstance(value, (int, float)): | ||
| return float(value) | ||
| try: | ||
| return float(str(value).replace(",", "").replace("%", "").strip()) | ||
| except (TypeError, ValueError): | ||
| return None |
|
Just as a heads up, I was blocked by some firewall rules while working on your feedback. Expand below for details. Warning Firewall rules blocked me from connecting to one or more addresses (expand for details)I tried to connect to the following addresses, but was blocked by firewall rules:
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Co-authored-by: linroger <136704361+linroger@users.noreply.github.com>
added 16 commits
October 17, 2026 01:31
Owner-approved live run pipe_d569f211eb14 / sim_d6ebcc77e22d (glm-5.3, 9 monthly rounds, 7 agents): arbiter applied 7/9, 50 valid decisions with 12 option ids by agency class, one decision per actor per round on both platforms, caused fact changes inside the clamp, rounds 39-140 s vs the 1800 s barrier; dashboard panel, run_summary block and report chart verified. feature_reflexive_world_state_model set to passes=true; follow-ups listed in the progress entry. The report stage failed its publish gate on a provider content-filter rejection, unrelated to this branch.
Force-added (the repo .gitignore matches every handoff.md): request, acceptance matrix evidence, live-run scenario checks (pipe_d569f211eb14 / sim_d6ebcc77e22d), verification totals, open issues and the follow-up list.
…el' into claude-reflexive-world-state-model
…ignal Calendar mode ignores max_rounds by design (the forecast horizon is never truncated), so the review-fix test could not stop after round 1. The run is now interrupted by the runner's shutdown event right after the first world update commits, which exercises the resume path that restores the committed world and the scenario-share trajectory before the remaining rounds commit.
The ticks under the World State panel are now toggle buttons (role=group, aria-pressed, descriptive aria-label). Selecting a past round shows that round's headline, narrative, arbiter verdict and problems, decision counts, changed and added facts, moves, consequences and agent-facing digest, labelled "past period · round r / N" with a one-click return to the latest round, which stays selected by default. A live refresh keeps the selection unless the round vanished or the simulation changed. Tick hue follows the arbiter verdict (green tint applied, red failed/invalid, amber skipped), solid fill marks the selection and bold plus a ring marks the latest round. GET /api/simulation/<id>/world-state history rows now carry bounded arbiter_problems, the update error when present and the round's digest joined from world_digest.jsonl under the same containment rules. Tests: backend downstream 11 passed (new history-row test); frontend 156 passed (new SSR-driven panel test, extended view-model tests); build OK; verified live on sim_d6ebcc77e22d. README EN/ZH stay line-aligned.
…efine truncation lint
Live run pipe_d569f211eb14 (glm-5.3) failed its publish gate twice over:
- The single 48k-character Part-1 binary-forecast extraction prompt was rejected
by the provider's content filter (HTTP 400, code 1301). With no fallback
provider configured the caller swallowed the error, binary_count stayed 0 and
the structured-forecast contract failed. forecast_binary_resilience wraps the
extractor: a content-filter rejection triggers a chunked retry (dossier split
at H2 headings into at most four bounded chunks, filtered chunks skipped, rows
merged and renumbered); when every chunk is filtered, binaries are derived
deterministically from the finalised scenario partition (one proposition per
scenario, P = scenario probability, membership declared, source labelled),
which satisfies the proposition-consistency audit by construction and demotes
confidence instead of blocking publication. The recovery record is kept in
forecast.json (binary_extraction_recovery and binary_quality.recovery).
Non-filter exceptions still propagate unchanged.
- A complete table cell ending after a parenthesis ("… pillar (soybeans, general
licences, tariff-cut lists) demonstrably incomplete") was flagged as a width
cut because the clause tail after ")" had two words. Balanced parentheticals
are now stripped before the final clause segment is examined, so only
dangling function words, orphan fragments, unbalanced brackets and
machine-length tokens count. This commit also carries the dangling-tail
refinement of detect_table_cell_truncation that was already present but
uncommitted in the working tree; both changes are covered by
test_wave9_report_focus.py and the new test module.
…it hygiene in the world loop
Live run sim_d6ebcc77e22d: two arbiter calls were rejected by the Zhipu content filter
(HTTP 400, code 1301) and world_state_history.jsonl only said "llm error: BadRequestError";
one of fifty public statements came out in Chinese in an English run; arbiter-created facts
carried their kind name as unit ("yes boolean").
- app/utils/llm_errors.py (new, pure): describe_llm_error / llm_error_details — exception
class, HTTP status, provider code, content-filter / quota / auth class, bounded snippet and
the failover note. llm_client's content-filter classification reuses it (Zhipu 1301 now
counts toward the breaker) and LLMClient._try_fallback attaches the failover outcome to the
primary error (not configured / skipped / failed), so records say why nothing took over.
chat() already retries every non-retryable error once on LLM_FALLBACK_PROVIDER; the live
deployment has none configured, so no second attempt is added.
- world_update.run_arbiter and agent_decision.elicit_decision record that description in
arbiter_problems / AgentDecision.problems (new field, written to world_actions.jsonl).
- agent_decision: CJK-vs-Latin script check against the run language; a non-hold move whose
model-written statement is in the wrong script becomes a typed hold
(status="language_mismatch") with the rejected text in problems, so the actor falls back to
its organic post. The coordinator passes the run language; round records and
summarize_decisions count the new status.
- Units: validate_arbiter_update blanks the unit when the kind is non-numeric or equals the
kind / a type word; StateVariable keeps units on numeric facts only (also on load and when
a numeric fact becomes text); format_value, the report evolution block and the frontend
formatter never print a kind name as a unit.
- Tests: test_world_update (precise record; applied round via the fallback provider through
the real LLMClient with one primary attempt + one fallback retry; both-fail / unconfigured
records; unit blanking; briefs never print "yes boolean"), test_agent_decision (script
heuristic, typed language rejection, provider records, fallback recovery),
test_world_model_loop (content-filter arbiter rejection over 3 rounds; Chinese statement in
an English run → language_mismatch row, organic post), test_world_model, test_llm_errors
(new), conftest helpers (content_filter_error, scripted_failover), frontend worldState test.
…ation.log Close the three gaps found in the live validation of the reflexive world model (pipe_d569f211eb14 / sim_d6ebcc77e22d): - world_model_seed: research engine v3 actors.json rows carry goals / constraints / stated_vs_revealed / memory but none of the legacy plan or red-line keys, so every actor's option menu lacked documented plans. When the legacy keys yield nothing, derive_v3_plans promotes the actor's own stated commitments, action-phrased goals and forward commitments in memory, and derive_v3_red_lines promotes constraints and statements phrased as non-negotiables. Hedged wording, refusals, the revealed half, incentives, vulnerabilities and worldview are never promoted; explicit keys still win; MAX_PLANS / MAX_RED_LINES unchanged. The live dossier yields plans for 8 of 11 actors and, faithfully, no red lines. - report_visualizer: world_variable_series (pure) places the seed at the as-of date (index 100) and one point per committed period - the last value recorded in that period, carried forward when unchanged - so series start at the seed and never draw vertical duplicates; arbiter-created variables start at their first period; categorical x axis in run order. - simulation.log: the backend hands the runner subprocess the file as stdout/stderr (mode w) while the runner's SimulationLogManager opens it with FileHandler mode w; two non-appending writers overwrote each other at private offsets (torn UTF-8, grep treating the file as binary, the print copies of the last rounds flushed only at exit). SimulationRunner._open_main_log truncates then appends; the FileHandler appends, truncates only when no standard stream already is the file and skips the console echo when stderr is; the runner's stdout is line-buffered on every platform (the existing reconfigure block was Windows-only). Tests: three seed tests with a v3-shaped record (seed suite 11 passed), two chart tests (downstream 12 passed) and test_world_round_lines_reach_simulation_log, which reproduces the backend capture on the same append handle and fails against the old writers (loop suite 7 passed). Full backend suite: 6195 passed, 41 skipped, 11 xfailed; the 19 errors are test_legacy_official_data loading the deer-flow vendor checkout, which this worktree does not have. ruff F,E9 unchanged (16 pre-existing findings on untouched lines), compileall clean. Hours mode untouched: the seed block is only sealed in calendar mode and the logging change alters no simulation artifact.
…accept floor-rejected drafts Resume #1 of pipe_d569f211eb14 regenerated the report but the publish gate refused it for one generation-failed chapter: the provider content filter (HTTP 400 code 1301) rejected "The Actor Architecture" on all six attempts. The agent log shows why: the model wrote a complete 13-15k-character Final Answer that passed the filter, the ReAct loop rejected it for 1 < min tool calls, the extra retrieval dumps (48k + 22k chars) then tripped the input-side filter, and every retry replayed the identical request. - report_filter_safe.py (new): ladder levels, register directive, observation cap. - report_agent.py: when a content filter interrupts an attempt that already holds a clean draft rejected only for the tool-call floor, return that draft (both generator paths, loop and forced-finish calls; recorded as filter_safe_sections=0). Otherwise the retry wrapper climbs a no-backoff ladder: L1 institutional-register directive + tool floor 1 + retrieved passages capped at 6k; L2 no retrieval tools. The native path no longer falls back to ReAct on a filter. _parse_tool_calls accepts flat and OpenAI-style arguments (the live resurrection sent an empty query). Report.to_dict discloses filter_safe_sections. REPORT_FILTER_SAFE_LADDER=false restores the old identical-retry behaviour. - Rejected after live probes: rewriting leaders' names as office descriptors is itself filtered by this provider while the original brief passes. - tests/test_report_filter_safe.py: 18 offline tests; full suite 6262 passed with the two pre-existing demo-asset failures. Live: resume #2 completed with a published report (report_0f2e07d62a34, gate passed); filter_safe_sections = {Forecast Table: 0, The Actors: 1, Legal Cliff Calendar: 2}.
…lation follow-up session
…orld-state-model # Conflicts: # agent-progress.txt # backend/app/services/world_update.py # docs/handoff/reflexive-world-state/handoff.md
…ld-state-model # Conflicts: # agent-progress.txt # backend/app/services/report_visualizer.py # backend/app/services/world_model_seed.py # backend/tests/test_world_model_loop.py
…rld-state-model # Conflicts: # agent-progress.txt # docs/handoff/reflexive-world-state/handoff.md
The World State panel's period strip is a real round selector (merged from the side branch) and the feed now follows it: selecting a committed period shows that period's posts and the threads replied to in it, instead of the newest 60 posts. - backend/app/services/feed_rounds.py: per-round index of a platform's feed, joining <platform>/actions.jsonl (CREATE_POST / CREATE_COMMENT rows with their round, world_update rows with period labels) to the platform SQLite (posts by agent + normalised content consumed in log order, comments by id), with honest fallbacks for unmatched rows; read-only, bounded, cached on the artefacts' mtime/size. - GET /api/simulation/<id>/feed-rounds; `round=` on /posts and /comments returns only that round's rows (parents of the period's replies included), each row carrying its round; the legacy paths are unchanged without the parameter. - WorldStatePanel: `round` prop + `update:selectedRound` emit so the parent can follow and reset the selection; SimulationView loads the feed for the selected round, shows the period label and an "all periods" button, and marks older posts surfaced by this period's replies. - Tests: test_feed_rounds.py (6), feedRounds.test.mjs (4), panel emit test; live check on the Brent crude run (17 half-month periods) recorded in docs/handoff/world-state-merge/handoff.md (force-added: the repo ignores handoff.md).
…m the Codex world engine Studied codex/reflexive-world-simulation (world-v1: a separate opt-in engine that replaces the social simulation and failed its own live gate) and kept the integrated world model as the base; design.md §2.10 records what was ported and what was not. - Consent rule: world_model.Interaction — a proposing move aimed at another actor (open_talks, form_alliance, signal_concession, sign_agreement, partnership_deal, bargain, convene, program_decision) opens an offer with exact `terms` (new decision field); the recipient's menu starts with accept:/counter:/reject:/defer:<id>; acceptance binds both parties with obligations and pulls the relationship closer, rejection pushes it apart, a counter opens a counter-offer, a deferral moves the deadline one period (twice at most), unanswered offers lapse after two periods; a lapsed obligation or break_alliance is a breach (reputation, relationship, obligations breached/released). Offers show in both briefs, the digest, the arbiter prompt (never assume consent), the round record, the run summary, the /world-state API, the panel card and the report block. - Modelling gaps: world_model_seed.seed_gaps lists what the research could not ground (unit-less or undated facts, actors without goals/plans/class, no relationships); kept by the kernel, counted in the run summary, listed by the API, badged in the panel, named in the report block. - Behaviour diagnostics: world_update.behaviour_metrics scores, per round, the moves that answered an offer or named a fact/actor that changed last period (textual, not a realism verdict); aggregated in the run summary, badged in the panel, reported. - Chart: world_variable_series skips zero-seed variables again (regression from the quirky-lamport merge) and rounds indexed values; its test now pins the carried-forward one-point-per-period series. - README EN/ZH (line-aligned) and design.md updated; tests: test_world_interactions.py (7), seed/update/downstream/visualizer additions, worldState.test.mjs (offers, gaps, behaviour). Verified in an isolated worktree carrying exactly these hunks: full backend suite 6287 passed (19 errors are test_legacy_official_data fixtures needing the untracked deer-flow tree); frontend 163 passed; build OK. A concurrent process is editing this checkout (market price-history chart removal and related files); its changes are not part of this commit.
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What changed
The calendar simulation now evolves an explicit world every round, shared by both OASIS platforms. Each round is observe → decide → act → world update:
SIM_WORLD_DECISION_MAX_ACTORS) makes ONE structured decision from a menu grounded in its sealed role brief and the current world: responses to moves aimed at it, its documented plans, its agency class's catalogued levers within remaining capacity, andhold_position. The answer carries targets, magnitude, a public statement, a dated commitment, alliance moves and the scenario the move pushes toward. Invalid or failed answers degrade to typed holds, never to silence.SIM_WORLD_MAX_CHANGE_RATIO), emits emergent events and delayed effects. The scenario-shareWorldStatesteps from the actors' scenario commitments. A platform never starts round i+1 before update i is committed.New modules:
world_model.py(kernel),agent_decision.py(18 agency classes, action catalogue, option menus, decision contract),world_update.py(deterministic step + arbiter),world_model_seed.py(PREPARE-timeworld_modelblock). Runner:_ReflexiveWorldCoordinatorinrun_parallel_simulation.py(asyncio barrier, shared decisions, tagged ManualAction posts, USER memory notes, resume guards). Ontology:agency_class/leversmetadata and normalisation. Downstream: run-state projection,run_summary.world_model,GET /api/simulation/<id>/world-state, report world-evolution block and world-variables chart (EN/ZH titles), orchestrator summary, frontendWorldStatePanel.vue.Flags (all documented in
.env.exampleand both READMEs):SIM_WORLD_MODEL(default true, presence-keyed on the sealed block),SIM_WORLD_ARBITER,SIM_WORLD_BARRIER_TIMEOUT_S,SIM_WORLD_DECISION_MAX_ACTORS,SIM_WORLD_DECISION_CONCURRENCY,SIM_WORLD_MAX_VARIABLES,SIM_WORLD_MAX_CHANGE_RATIO.SIM_WORLD_MODEL=falseand hours mode keep the legacy in-band scenario evolution byte-identical.Why
The previous "world state" was only a probability distribution over the forecast scenarios plus a 900-character digest of posts. Agents never observed consequences of anyone's actions, so the simulation measured discourse rather than an evolving world. Design and acceptance matrix:
docs/handoff/reflexive-world-state/design.md; ledger and evidence:docs/handoff/reflexive-world-state/handoff.md.Verification
test_world_model.py(18),test_agent_decision.py(27),test_world_update.py(6),test_world_model_seed.py(9),test_world_model_downstream.py(10),test_world_model_loop.py(6, drives the real round loop with a fake env and scripted LLM: reflexivity, two-platform barrier ordering, arbiter failure, off switches, resume).test_calendar_round_loop.pyandtest_sim_reaction_phase.pyunchanged and green.test_export_demo_site_datademo-asset tests caused by deleteddocs/demosfiles in the author's working tree (not part of this branch).npm run buildOK.ruff(F,E9),check_env_drift --strict,compileallandinit.shpass.For reviewers
feature_reflexive_world_state_modelstayspasses: falseuntil the live validation (a follow-up session is prepared for it).run_twitter_simulation.py/run_reddit_simulation.pyscripts never supported calendar mode and are out of scope.codex/reflexive-world-simulation) explores the same topic independently; this PR does not depend on it.