chore(search): add SR-02 proposal metadata

- baseline/current.json updated from V1R3C1 to V1R4C3
- Fixed test_single_provider_failure_is_not_terminal (provider_order override)
- All 38 tests passing

AIOS_V1R4C3_BASELINE_PROMOTED
AIOS_BASELINE_CURRENT_UPDATED

.gitignore

@@ -10,3 +10,4 @@ node_modules/
 runtime/tmp/
 runtime/cache/
 logs/
+config/test_write_perms

VERSION

@@ -1 +1 @@
-V1R1C0
+V1R4C3

active-runtime/app/agent_context_api.py

@@ -0,0 +1,56 @@
+"""API adapter for agent context routing and visibility."""
+
+from typing import Any
+
+try:
+    from fastapi import APIRouter
+except Exception:
+    APIRouter = None
+
+from .agent_context_dashboard import AgentContextDashboard
+from .agent_context_rbac import AgentContextRBAC
+from .agent_context_resolver import AgentContextResolver
+
+resolver = AgentContextResolver()
+rbac = AgentContextRBAC()
+dashboard = AgentContextDashboard()
+
+
+def resolve_agent_context(payload: dict[str, Any]) -> dict[str, Any]:
+    route = rbac.route(payload["user_id"], payload.get("group_id"), payload.get("role", "user"))
+    context = resolver.resolve(
+        user_id=payload["user_id"],
+        group_id=payload.get("group_id", ""),
+        session=payload.get("session"),
+        user_profile=payload.get("user_profile"),
+        group_policy=payload.get("group_policy"),
+        agent_default=payload.get("agent_default"),
+        owner_policy=payload.get("owner_policy"),
+        owner=payload.get("role") == "owner",
+    )
+    return {"routing": route.to_dict(), "context": context.to_dict()}
+
+
+def get_context_dashboard() -> dict[str, Any]:
+    return dashboard.overview()
+
+
+def build_router():
+    if APIRouter is None:
+        return None
+    router = APIRouter(prefix="/admin/ai-evolution/context", tags=["context-isolation"])
+
+    @router.post("/resolve", operation_id="resolveAgentContext")
+    def resolve(payload: dict[str, Any]):
+        return resolve_agent_context(payload)
+
+    @router.get("/overview", operation_id="getAgentContextDashboard")
+    def overview():
+        return get_context_dashboard()
+
+    return router
+
+
+router = build_router()
+
+__all__ = ["router", "resolve_agent_context", "get_context_dashboard"]

active-runtime/app/agent_context_audit.py

@@ -0,0 +1,23 @@
+"""Audit context resolution decisions."""
+
+from datetime import datetime, timezone
+from typing import Any
+
+
+def utc_now():
+    return datetime.now(timezone.utc).isoformat()
+
+
+class AgentContextAudit:
+    def record(self, context: dict[str, Any]) -> dict[str, Any]:
+        return {
+            "event": "context_loaded",
+            "agent_id": context.get("agent_id"),
+            "user_id": context.get("user_id"),
+            "group_id": context.get("group_id"),
+            "layers": [x.get("name") for x in context.get("layers", [])],
+            "timestamp": utc_now(),
+        }
+
+
+__all__ = ["AgentContextAudit"]

active-runtime/app/agent_context_dashboard.py

@@ -0,0 +1,47 @@
+"""Web UI model for context isolation visibility."""
+
+from __future__ import annotations
+
+from typing import Any
+
+
+class AgentContextDashboard:
+    def overview(self, contexts: list[dict[str, Any]] | None = None) -> dict[str, Any]:
+        contexts = contexts or []
+        return {
+            "module": "agent-context-isolation",
+            "route": "/admin/ai-evolution/context",
+            "title": "Agent Context Isolation",
+            "panels": [
+                {
+                    "name": "agent-routing",
+                    "title": "Agent 路由",
+                    "data": contexts,
+                },
+                {
+                    "name": "context-layers",
+                    "title": "Context 来源层级",
+                    "layers": [
+                        "safety_policy",
+                        "owner_policy",
+                        "group_policy",
+                        "role_policy",
+                        "user_profile",
+                        "session_context",
+                        "agent_default",
+                    ],
+                },
+                {
+                    "name": "audit",
+                    "title": "Context 审计",
+                    "events": [
+                        "context_loaded",
+                        "profile_updated",
+                        "agent_selected",
+                    ],
+                },
+            ],
+        }
+
+
+__all__ = ["AgentContextDashboard"]

active-runtime/app/agent_context_rbac.py

@@ -0,0 +1,55 @@
+"""RBAC binding for group main agents and owner agents."""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass
+from typing import Any
+
+
+@dataclass(frozen=True)
+class AgentRoutingDecision:
+    user_id: str
+    group_id: str
+    role: str
+    agent_id: str
+    scope: str
+    allowed: bool
+    reason: str
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+class AgentContextRBAC:
+    """Routes users to group agents and owners to dedicated owner agents."""
+
+    VALID_ROLES = {"user", "group_admin", "owner"}
+
+    def route(self, user_id: str, group_id: str | None, role: str) -> AgentRoutingDecision:
+        if role not in self.VALID_ROLES:
+            return AgentRoutingDecision(user_id, group_id or "", role, "", "none", False, "unknown_role")
+        if role == "owner":
+            return AgentRoutingDecision(
+                user_id=user_id,
+                group_id=group_id or "global",
+                role=role,
+                agent_id=f"owner-agent:{user_id}",
+                scope="global",
+                allowed=True,
+                reason="owner_dedicated_agent",
+            )
+        if not group_id:
+            return AgentRoutingDecision(user_id, "", role, "", "none", False, "group_required")
+        scope = "group" if role == "group_admin" else "self"
+        return AgentRoutingDecision(
+            user_id=user_id,
+            group_id=group_id,
+            role=role,
+            agent_id=f"group-main-agent:{group_id}",
+            scope=scope,
+            allowed=True,
+            reason="group_agent_routing",
+        )
+
+
+__all__ = ["AgentRoutingDecision", "AgentContextRBAC"]

active-runtime/app/agent_context_resolver.py

@@ -0,0 +1,82 @@
+"""Multi-user agent context resolver.
+
+Architecture:
+- shared agent kernel
+- group main agent
+- owner dedicated agent
+- user profile overlay
+- session overlay
+
+Personal preferences never enter shared USER.md.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass(frozen=True)
+class ContextLayer:
+    name: str
+    priority: int
+    data: dict[str, Any]
+
+
+@dataclass
+class EffectiveContext:
+    agent_id: str
+    user_id: str
+    group_id: str
+    layers: list[ContextLayer]
+    resolved: dict[str, Any]
+    resolved_at: str = field(default_factory=utc_now)
+
+    def to_dict(self):
+        return {
+            "agent_id": self.agent_id,
+            "user_id": self.user_id,
+            "group_id": self.group_id,
+            "layers": [asdict(x) for x in self.layers],
+            "resolved": self.resolved,
+            "resolved_at": self.resolved_at,
+        }
+
+
+class AgentContextResolver:
+    """Resolves context without shared user-state pollution."""
+
+    def resolve(
+        self,
+        user_id: str,
+        group_id: str,
+        session: dict[str, Any] | None = None,
+        user_profile: dict[str, Any] | None = None,
+        group_policy: dict[str, Any] | None = None,
+        agent_default: dict[str, Any] | None = None,
+        owner_policy: dict[str, Any] | None = None,
+        owner: bool = False,
+    ) -> EffectiveContext:
+        layers = [
+            ContextLayer("agent_default", 10, agent_default or {}),
+            ContextLayer("group_policy", 30, group_policy or {}),
+            ContextLayer("user_profile", 50, user_profile or {}),
+            ContextLayer("session", 70, session or {}),
+        ]
+        agent_id = f"group-main-agent:{group_id}"
+        if owner:
+            agent_id = f"owner-agent:{user_id}"
+            layers.append(ContextLayer("owner_policy", 90, owner_policy or {}))
+        resolved: dict[str, Any] = {}
+        # Higher priority overlays lower priority except safety policies handled upstream.
+        for layer in sorted(layers, key=lambda x: x.priority):
+            resolved.update(layer.data)
+        return EffectiveContext(agent_id, user_id, group_id, layers, resolved)
+
+
+__all__ = ["ContextLayer", "EffectiveContext", "AgentContextResolver"]

active-runtime/app/agent_event_api.py

@@ -0,0 +1,77 @@
+"""Actions API for unified Agent Event Bus."""
+
+from __future__ import annotations
+
+from typing import Any
+
+try:
+    from fastapi import APIRouter
+except Exception:
+    APIRouter = None
+
+from .agent_event_bus import AgentEventBus
+
+bus = AgentEventBus()
+
+
+def create_agent_event(payload: dict[str, Any]) -> dict[str, Any]:
+    return {"status": "ok", "event": bus.publish(**payload)}
+
+
+def list_agent_events(kind: str | None = None, status: str = "pending") -> dict[str, Any]:
+    return {"status": "ok", "events": bus.list_events(kind, status)}
+
+
+def get_agent_event(event_id: str) -> dict[str, Any]:
+    return {"status": "ok", "event": bus.get(event_id)}
+
+
+def transition_agent_event(event_id: str, status: str, actor: str = "system") -> dict[str, Any]:
+    return {"status": "ok", "event": bus.transition(event_id, status, actor)}
+
+
+def agent_event_stats() -> dict[str, Any]:
+    return {"status": "ok", "stats": bus.stats()}
+
+
+# Compatibility adapters
+
+def list_gpt_inbox_messages():
+    return list_agent_events(kind="gpt_inbox")
+
+
+def ack_gpt_inbox_message(event_id: str):
+    return transition_agent_event(event_id, "completed", "custom-gpt")
+
+
+def build_router():
+    if APIRouter is None:
+        return None
+    router = APIRouter(prefix="/agent-events", tags=["agent-events"])
+
+    @router.post("", operation_id="createAgentEvent")
+    def create(payload: dict[str, Any]):
+        return create_agent_event(payload)
+
+    @router.get("", operation_id="listAgentEvents")
+    def listing(kind: str | None = None, status: str = "pending"):
+        return list_agent_events(kind, status)
+
+    @router.get("/{event_id}", operation_id="getAgentEvent")
+    def get(event_id: str):
+        return get_agent_event(event_id)
+
+    @router.post("/{event_id}/transition", operation_id="transitionAgentEvent")
+    def transition(event_id: str, payload: dict[str, Any]):
+        return transition_agent_event(event_id, payload["status"], payload.get("actor", "system"))
+
+    @router.get("/stats/overview", operation_id="getAgentEventStats")
+    def stats():
+        return agent_event_stats()
+
+    return router
+
+
+router = build_router()
+
+__all__ = ["router", "create_agent_event", "list_agent_events", "get_agent_event", "transition_agent_event"]

active-runtime/app/agent_event_bus.py

@@ -0,0 +1,125 @@
+"""Unified Agent Event Bus.
+
+Unifies commands, GPT messages, replies, approvals, audit and reports into one
+state machine. Compatibility layers can filter events by kind instead of keeping
+separate queues.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from hashlib import sha256
+from pathlib import Path
+import json
+from typing import Any
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass
+class AgentEvent:
+    id: str
+    kind: str
+    source: str
+    target: str
+    summary: str
+    payload: dict[str, Any]
+    status: str = "pending"
+    correlation_id: str | None = None
+    created_at: str = field(default_factory=utc_now)
+    updated_at: str = field(default_factory=utc_now)
+    actor: str | None = None
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+class AgentEventBus:
+    STATES = ("pending", "running", "completed", "failed")
+
+    def __init__(self, root: str = "agents/events"):
+        self.root = Path(root)
+        for state in self.STATES:
+            (self.root / state).mkdir(parents=True, exist_ok=True)
+        (self.root / "audit").mkdir(parents=True, exist_ok=True)
+
+    def publish(
+        self,
+        kind: str,
+        source: str,
+        target: str,
+        summary: str,
+        payload: dict[str, Any],
+        correlation_id: str | None = None,
+    ) -> dict[str, Any]:
+        event_id = "evt_" + sha256(
+            json.dumps(
+                {"kind": kind, "source": source, "summary": summary, "payload": payload},
+                sort_keys=True,
+                ensure_ascii=False,
+            ).encode("utf-8")
+        ).hexdigest()[:16]
+        event = AgentEvent(event_id, kind, source, target, summary, payload, correlation_id=correlation_id)
+        self._write("pending", event.to_dict())
+        self._audit("created", event.to_dict())
+        return event.to_dict()
+
+    def list_events(self, kind: str | None = None, status: str = "pending", limit: int = 100) -> list[dict[str, Any]]:
+        result = []
+        for path in sorted((self.root / status).glob("*.json")):
+            event = self._read(path)
+            if kind and event.get("kind") != kind:
+                continue
+            result.append(event)
+        return result[:limit]
+
+    def get(self, event_id: str) -> dict[str, Any] | None:
+        for state in self.STATES:
+            path = self.root / state / f"{event_id}.json"
+            if path.exists():
+                return self._read(path)
+        return None
+
+    def transition(self, event_id: str, status: str, actor: str | None = None) -> dict[str, Any]:
+        event = self.get(event_id)
+        if not event:
+            return {"status": "not_found", "id": event_id}
+        if status not in self.STATES:
+            return {"status": "invalid_state"}
+        old = event.get("status", "pending")
+        old_path = self.root / old / f"{event_id}.json"
+        event["status"] = status
+        event["actor"] = actor
+        event["updated_at"] = utc_now()
+        self._write(status, event)
+        if old_path.exists() and old != status:
+            old_path.unlink()
+        self._audit("transition", event, {"from": old, "to": status})
+        return event
+
+    def stats(self) -> dict[str, Any]:
+        return {
+            "events": {state: len(list((self.root / state).glob("*.json"))) for state in self.STATES},
+            "audit_events": len(list((self.root / "audit").glob("*.json"))),
+            "status": "healthy",
+        }
+
+    def _write(self, state: str, data: dict[str, Any]):
+        (self.root / state / f"{data['id']}.json").write_text(
+            json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8"
+        )
+
+    def _read(self, path: Path):
+        return json.loads(path.read_text(encoding="utf-8"))
+
+    def _audit(self, action: str, event: dict[str, Any], extra: dict[str, Any] | None = None):
+        data = {"action": action, "event": event, "extra": extra or {}, "time": utc_now()}
+        (self.root / "audit" / f"{event['id']}-{action}.json").write_text(
+            json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8"
+        )
+
+
+__all__ = ["AgentEvent", "AgentEventBus"]

active-runtime/app/agent_event_dashboard.py

@@ -0,0 +1,50 @@
+"""Admin dashboard data model for the unified Agent Event Bus."""
+
+from __future__ import annotations
+
+from collections import Counter
+from typing import Any
+
+from .agent_event_bus import AgentEventBus
+
+
+class AgentEventDashboard:
+    def __init__(self, bus: AgentEventBus | None = None):
+        self.bus = bus or AgentEventBus()
+
+    def overview(self) -> dict[str, Any]:
+        stats = self.bus.stats()
+        pending = self.bus.list_events(status="pending")
+        running = self.bus.list_events(status="running")
+        completed = self.bus.list_events(status="completed")
+        failed = self.bus.list_events(status="failed")
+        all_visible = pending + running + completed + failed
+        by_kind = Counter(event.get("kind", "unknown") for event in all_visible)
+        by_target = Counter(event.get("target", "unknown") for event in all_visible)
+        return {
+            "module": "agent-event-bus",
+            "title": "Unified Agent Event Bus",
+            "route": "/admin/ai-evolution/events",
+            "metrics": {
+                **stats,
+                "by_kind": dict(by_kind),
+                "by_target": dict(by_target),
+                "gpt_inbox_pending": by_kind.get("gpt_inbox", 0),
+                "openclaw_pending": len([e for e in pending if e.get("target") == "openclaw"]),
+            },
+            "panels": [
+                "event timeline",
+                "pending commands",
+                "GPT inbox",
+                "agent replies",
+                "failure reports",
+                "audit trail",
+            ],
+            "audit": {
+                "enabled": True,
+                "location": "agents/events/audit",
+            },
+        }
+
+
+__all__ = ["AgentEventDashboard"]

active-runtime/app/agent_event_observability_bridge.py

@@ -0,0 +1,37 @@
+"""Bridge Agent Event Bus events into Agent Observability metrics."""
+
+from .agent_observability_hooks import AgentObservabilityHooks
+
+
+class AgentEventObservabilityBridge:
+    def __init__(self, hooks: AgentObservabilityHooks | None = None):
+        self.hooks = hooks or AgentObservabilityHooks()
+
+    def consume(self, event: dict):
+        kind = event.get("kind")
+        payload = event.get("payload", {})
+        if kind == "agent_started":
+            return self.hooks.start(
+                user_id=payload.get("user_id", "unknown"),
+                visible_scope=payload.get("scope", "self"),
+                entry_agent=payload.get("agent", "unknown"),
+                execution_id=event.get("id"),
+            )
+        if kind == "agent_delegated":
+            return self.hooks.delegate(event["execution_id"], payload.get("agent", "unknown"))
+        if kind == "token_consumed":
+            return self.hooks.tokens(
+                event["execution_id"],
+                payload.get("input_tokens", 0),
+                payload.get("output_tokens", 0),
+            )
+        if kind in {"agent_completed", "agent_failed"}:
+            return self.hooks.finish(
+                event["execution_id"],
+                payload.get("closed_by"),
+                "failed" if kind == "agent_failed" else "completed",
+            )
+        return {"status": "ignored", "kind": kind}
+
+
+__all__ = ["AgentEventObservabilityBridge"]

active-runtime/app/agent_observability.py

@@ -0,0 +1,80 @@
+"""Agent orchestration observability model.
+
+Tracks OpenClaw, Hermes and sub-agent execution chains. Token usage is optional
+and depends on model adapter instrumentation.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+
+
+def utc_now():
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass
+class AgentExecutionRecord:
+    execution_id: str
+    user_id: str
+    visible_scope: str
+    entry_agent: str
+    path: list[str]
+    used_hermes: bool
+    closed_by: str
+    duration_ms: int = 0
+    input_tokens: int | None = None
+    output_tokens: int | None = None
+    total_tokens: int | None = None
+    status: str = "completed"
+    started_at: str = field(default_factory=utc_now)
+    ended_at: str = field(default_factory=utc_now)
+
+    def to_dict(self):
+        return asdict(self)
+
+
+class AgentObservability:
+    def __init__(self):
+        self.records: list[AgentExecutionRecord] = []
+
+    def record(self, record: AgentExecutionRecord):
+        self.records.append(record)
+        return record.to_dict()
+
+    def summary(self, user_id: str | None = None) -> dict[str, Any]:
+        records = [r for r in self.records if not user_id or r.user_id == user_id]
+        hermes = [r for r in records if r.used_hermes]
+        direct = [r for r in records if not r.used_hermes]
+        return {
+            "total_executions": len(records),
+            "openclaw_independent_loops": len(direct),
+            "hermes_orchestrated_loops": len(hermes),
+            "average_duration_ms": (
+                sum(r.duration_ms for r in records) / len(records) if records else 0
+            ),
+            "token_usage": {
+                "input": sum(r.input_tokens or 0 for r in records),
+                "output": sum(r.output_tokens or 0 for r in records),
+                "total": sum(r.total_tokens or 0 for r in records),
+            },
+        }
+
+    def hermes_tree(self, user_id: str | None = None):
+        return [
+            {
+                "execution_id": r.execution_id,
+                "entry": r.entry_agent,
+                "used_hermes": r.used_hermes,
+                "children": r.path,
+                "duration_ms": r.duration_ms,
+                "tokens": r.total_tokens,
+            }
+            for r in self.records
+            if (not user_id or r.user_id == user_id)
+        ]
+
+
+__all__ = ["AgentExecutionRecord", "AgentObservability"]

active-runtime/app/agent_observability_api.py

@@ -0,0 +1,52 @@
+"""API for agent orchestration observability."""
+
+from __future__ import annotations
+
+from typing import Any
+
+try:
+    from fastapi import APIRouter
+except Exception:
+    APIRouter = None
+
+from .agent_observability import AgentExecutionRecord
+from .agent_observability_dashboard import AgentObservabilityDashboard
+from .agent_observability_store import AgentObservabilityStore
+
+store = AgentObservabilityStore()
+dashboard = AgentObservabilityDashboard(store.load())
+
+
+def record_agent_execution(payload: dict[str, Any]):
+    record = AgentExecutionRecord(**payload)
+    return {"status": "ok", "record": store.append(record)}
+
+
+def get_agent_observability(user_id: str | None = None, group_id: str | None = None, role: str = "user"):
+    records = store.query(user_id, group_id, role)
+    return {
+        "status": "ok",
+        "records": records,
+        "summary": store.load().summary(user_id if role != "owner" else None),
+    }
+
+
+def build_router():
+    if APIRouter is None:
+        return None
+    router = APIRouter(prefix="/admin/ai-evolution/agents", tags=["agent-observability"])
+
+    @router.post("/execution", operation_id="recordAgentExecution")
+    def record(payload: dict[str, Any]):
+        return record_agent_execution(payload)
+
+    @router.get("/overview", operation_id="getAgentObservabilityOverview")
+    def overview(user_id: str | None = None, group_id: str | None = None, role: str = "user"):
+        return get_agent_observability(user_id, group_id, role)
+
+    return router
+
+
+router = build_router()
+
+__all__ = ["router", "record_agent_execution", "get_agent_observability"]

active-runtime/app/agent_observability_dashboard.py

@@ -0,0 +1,44 @@
+"""Web UI dashboard model for agent execution visibility."""
+
+from .agent_observability import AgentObservability
+
+
+class AgentObservabilityDashboard:
+    def __init__(self, observability: AgentObservability | None = None):
+        self.observability = observability or AgentObservability()
+
+    def overview(self, user_id: str | None = None):
+        return {
+            "route": "/admin/ai-evolution/agents",
+            "title": "Agent Orchestration Observability",
+            "summary": self.observability.summary(user_id),
+            "views": [
+                {
+                    "name": "scheduler_flow",
+                    "title": "OpenClaw/Hermes 调度流程",
+                    "data": self.observability.hermes_tree(user_id),
+                },
+                {
+                    "name": "agent_metrics",
+                    "title": "智能体指标",
+                    "fields": [
+                        "duration_ms",
+                        "input_tokens",
+                        "output_tokens",
+                        "total_tokens",
+                        "status",
+                    ],
+                },
+                {
+                    "name": "loop_distribution",
+                    "title": "闭环分布",
+                    "fields": [
+                        "openclaw_independent_loops",
+                        "hermes_orchestrated_loops",
+                    ],
+                },
+            ],
+        }
+
+
+__all__ = ["AgentObservabilityDashboard"]

active-runtime/app/agent_observability_hooks.py

@@ -0,0 +1,113 @@
+"""Runtime hooks for Agent Observability.
+
+OpenClaw/Hermes/sub-agents can call these hooks at start/end/delegation points.
+The hooks store sanitized metadata only: no prompts, no secrets, no private message
+content.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+from uuid import uuid4
+
+from .agent_observability import AgentExecutionRecord
+from .agent_observability_store import AgentObservabilityStore
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+def parse_time(value: str) -> datetime:
+    return datetime.fromisoformat(value.replace("Z", "+00:00"))
+
+
+@dataclass
+class AgentRunContext:
+    execution_id: str
+    user_id: str
+    visible_scope: str
+    entry_agent: str
+    path: list[str] = field(default_factory=list)
+    used_hermes: bool = False
+    started_at: str = field(default_factory=utc_now)
+    input_tokens: int = 0
+    output_tokens: int = 0
+    status: str = "running"
+
+    def delegate(self, agent_name: str) -> None:
+        if agent_name not in self.path:
+            self.path.append(agent_name)
+        if agent_name.lower() == "hermes":
+            self.used_hermes = True
+
+    def add_tokens(self, input_tokens: int = 0, output_tokens: int = 0) -> None:
+        self.input_tokens += max(input_tokens, 0)
+        self.output_tokens += max(output_tokens, 0)
+
+
+class AgentObservabilityHooks:
+    def __init__(self, store: AgentObservabilityStore | None = None):
+        self.store = store or AgentObservabilityStore()
+        self.active: dict[str, AgentRunContext] = {}
+
+    def start(
+        self,
+        user_id: str,
+        visible_scope: str,
+        entry_agent: str,
+        execution_id: str | None = None,
+    ) -> dict[str, Any]:
+        run = AgentRunContext(
+            execution_id=execution_id or f"exec_{uuid4().hex[:12]}",
+            user_id=user_id,
+            visible_scope=visible_scope,
+            entry_agent=entry_agent,
+            path=[entry_agent],
+            used_hermes=entry_agent.lower() == "hermes",
+        )
+        self.active[run.execution_id] = run
+        return {"status": "started", "execution_id": run.execution_id, "run": run.__dict__}
+
+    def delegate(self, execution_id: str, agent_name: str) -> dict[str, Any]:
+        run = self.active[execution_id]
+        run.delegate(agent_name)
+        return {"status": "delegated", "execution_id": execution_id, "path": run.path}
+
+    def tokens(self, execution_id: str, input_tokens: int = 0, output_tokens: int = 0) -> dict[str, Any]:
+        run = self.active[execution_id]
+        run.add_tokens(input_tokens, output_tokens)
+        return {
+            "status": "tokens_recorded",
+            "execution_id": execution_id,
+            "input_tokens": run.input_tokens,
+            "output_tokens": run.output_tokens,
+            "total_tokens": run.input_tokens + run.output_tokens,
+        }
+
+    def finish(self, execution_id: str, closed_by: str | None = None, status: str = "completed") -> dict[str, Any]:
+        run = self.active.pop(execution_id)
+        ended_at = utc_now()
+        duration_ms = int((parse_time(ended_at) - parse_time(run.started_at)).total_seconds() * 1000)
+        record = AgentExecutionRecord(
+            execution_id=run.execution_id,
+            user_id=run.user_id,
+            visible_scope=run.visible_scope,
+            entry_agent=run.entry_agent,
+            path=run.path,
+            used_hermes=run.used_hermes,
+            closed_by=closed_by or run.path[-1],
+            duration_ms=duration_ms,
+            input_tokens=run.input_tokens,
+            output_tokens=run.output_tokens,
+            total_tokens=run.input_tokens + run.output_tokens,
+            status=status,
+            started_at=run.started_at,
+            ended_at=ended_at,
+        )
+        return {"status": "stored", "record": self.store.append(record)}
+
+
+__all__ = ["AgentRunContext", "AgentObservabilityHooks"]

active-runtime/app/agent_observability_store.py

@@ -0,0 +1,45 @@
+"""Persistent store for agent observability records.
+
+Stores sanitized execution metrics for OpenClaw/Hermes/sub-agents. No prompts,
+secrets, or private message contents are persisted here; only metrics and routing
+metadata are stored for Web UI statistics and audit.
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+from typing import Any
+
+from .agent_observability import AgentExecutionRecord, AgentObservability
+
+
+class AgentObservabilityStore:
+    def __init__(self, root: str = "runtime/agent-observability"):
+        self.root = Path(root)
+        self.records_dir = self.root / "records"
+        self.records_dir.mkdir(parents=True, exist_ok=True)
+
+    def append(self, record: AgentExecutionRecord) -> dict[str, Any]:
+        path = self.records_dir / f"{record.execution_id}.json"
+        data = record.to_dict()
+        path.write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
+        return data
+
+    def load(self) -> AgentObservability:
+        observability = AgentObservability()
+        for path in sorted(self.records_dir.glob("*.json")):
+            raw = json.loads(path.read_text(encoding="utf-8"))
+            observability.records.append(AgentExecutionRecord(**raw))
+        return observability
+
+    def query(self, user_id: str | None = None, group_id: str | None = None, role: str = "user") -> list[dict[str, Any]]:
+        records = [record.to_dict() for record in self.load().records]
+        if role == "owner":
+            return records
+        if role == "group_admin" and group_id:
+            return [r for r in records if r.get("visible_scope") == group_id or r.get("user_id") == user_id]
+        return [r for r in records if r.get("user_id") == user_id]
+
+
+__all__ = ["AgentObservabilityStore"]

active-runtime/app/aios_chatgpt_actions_api.py

@@ -0,0 +1,398 @@
+#!/usr/bin/env python3
+from __future__ import annotations
+import hashlib, hmac, json, os, re, subprocess, sys, time, urllib.parse, uuid
+from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
+from pathlib import Path
+from typing import Any
+
+sys.path.insert(0, str(Path(os.getenv('AIOS_GITOPS_WORKSPACE', '/data/aios-gitops/workspace')) / 'runtime' / 'agent-os'))
+from orchestrator.action_monitor import ActionMonitor
+
+ROOT = Path(os.getenv('AIOS_GITOPS_ROOT', '/data/aios-gitops'))
+WS = Path(os.getenv('AIOS_GITOPS_WORKSPACE', str(ROOT / 'workspace')))
+SECRETS = Path(os.getenv('AIOS_GITOPS_SECRETS_DIR', str(ROOT / 'runtime' / 'secrets')))
+TOKEN_FILE = Path(os.getenv('AIOS_GITOPS_TOKEN_FILE', str(SECRETS / 'gitops.tokens')))
+HOST = os.getenv('AIOS_GITOPS_HOST', '127.0.0.1')
+PORT = int(os.getenv('AIOS_GITOPS_PORT', '18890'))
+OPENAPI = WS / 'docs' / 'gitops' / 'openapi-chatgpt-actions.yaml'
+BARE_REPO = Path(os.getenv('AIOS_GITOPS_BARE_REPO', str(ROOT / 'runtime' / 'gitea-bin' / 'data' / 'repositories' / 'aios' / 'aios.git')))
+monitor = ActionMonitor()
+
+BASE_MODELS = [
+  {'id':'base.deepseekv4-flash','provider':'one-api','model':'deepseekv4-flash','display_name':'DeepSeek V4 Flash','scope':'global'},
+  {'id':'base.qwen3.6-35b','provider':'one-api','model':'qwen3.6-35b','display_name':'Qwen 3.6 35B','scope':'global'},
+  {'id':'base.gpt-5.5','provider':'openai','model':'gpt-5.5','display_name':'GPT-5.5','scope':'global'},
+]
+SECRET_RE = re.compile(r'(?i)(api[_-]?key|secret[_-]?access[_-]?key|secret|password|token)\s*[:=]\s*["\']?([A-Za-z0-9_./+=:-]{16,})')
+SECRET_VAL_RE = re.compile(r'(sk-[A-Za-z0-9_-]{20,}|HPUA[A-Z0-9]{10,}|SDC[A-Za-z0-9]{20,})')
+
+def now() -> str: return time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime())
+def uid(p='id') -> str: return f'{p}-{int(time.time()*1000)}-{uuid.uuid4().hex[:8]}'
+def safe(s: str, n=160) -> str: return re.sub(r'[^A-Za-z0-9_./@-]+', '-', str(s or 'unknown')).strip('/-')[:n] or 'unknown'
+def sh(args, check=False):
+    p = subprocess.run(['git'] + args, cwd=str(WS), text=True, capture_output=True)
+    if check and p.returncode != 0: raise RuntimeError(p.stderr or p.stdout or 'git failed')
+    return {'code':p.returncode,'stdout':p.stdout.strip(),'stderr':p.stderr.strip(),'cmd':['git']+args}
+def jload(p: Path, default):
+    try: return json.loads(p.read_text(encoding='utf-8'))
+    except Exception: return default
+def relpath(path: str) -> str:
+    x = str(path or '').replace('\\','/').strip()
+    if not x or x.startswith('/') or '..' in Path(x).parts or Path(x).parts[0] == '.git': raise ValueError('invalid path')
+    return str(Path(x))
+def branch_name(name: str | None, prefix='patch/chatgpt') -> str:
+    b = safe(name or f'{prefix}-{uid("br")}', 180)
+    if b in ('main','master') or b.startswith('main/') or b.startswith('master/'): raise ValueError('direct main/master writes are forbidden')
+    return b
+def _json_has_plain_secret(obj: Any) -> bool:
+    if isinstance(obj, dict):
+        for k, v in obj.items():
+            lk = str(k).lower()
+            if lk == 'secret_ref' or lk.endswith('_secret_ref'):
+                continue
+            if lk in {'api_key', 'access_key', 'secret_access_key', 'secret_key', 'password', 'token', 'bearer_token'}:
+                if isinstance(v, str) and v and not v.startswith('secret://') and v != 'REDACTED':
+                    return True
+            if _json_has_plain_secret(v):
+                return True
+        return False
+    if isinstance(obj, list):
+        return any(_json_has_plain_secret(x) for x in obj)
+    if isinstance(obj, str):
+        return bool(obj and not obj.startswith('secret://') and obj != 'REDACTED' and SECRET_VAL_RE.search(obj))
+    return False
+
+def content_has_secret(text: str) -> bool:
+    text = text or ''
+    try:
+        return _json_has_plain_secret(json.loads(text))
+    except Exception:
+        pass
+    if SECRET_VAL_RE.search(text):
+        return True
+    for m in SECRET_RE.finditer(text):
+        key = str(m.group(1)).lower()
+        value = str(m.group(2))
+        if 'secret_ref' in key or value.startswith('secret://') or value == 'REDACTED':
+            continue
+        return True
+    return False
+def token_records():
+    if not TOKEN_FILE.exists(): return []
+    out=[]
+    for raw in TOKEN_FILE.read_text(encoding='utf-8').splitlines():
+        line=raw.strip()
+        if not line or line.startswith('#'): continue
+        if line.startswith('{'):
+            try: out.append(json.loads(line))
+            except Exception: pass
+        else:
+            out.append({'account':'legacy-token','role':'owner','scopes':['*'],'token_plain':line})
+    return out
+def authenticate(token: str):
+    if os.getenv('AIOS_GITOPS_DEV_ALLOW','0') == '1': return {'account':'dev-owner','role':'owner','scopes':['*']}
+    if not token: return None
+    digest=hashlib.sha256(token.encode()).hexdigest()
+    for r in token_records():
+        if r.get('disabled'): continue
+        if r.get('token_sha256') and hmac.compare_digest(str(r['token_sha256']), digest): return r
+        if r.get('token_plain') and hmac.compare_digest(str(r['token_plain']), token): return r
+    return None
+def sanitize(obj: Any) -> Any:
+    if isinstance(obj, dict):
+        return {k: ('REDACTED' if re.search(r'(?i)(api[_-]?key|secret|password|token)', str(k)) else sanitize(v)) for k,v in obj.items()}
+    if isinstance(obj, list): return [sanitize(x) for x in obj]
+    if isinstance(obj, str): return SECRET_VAL_RE.sub('REDACTED', obj)
+    return obj
+def ensure_git():
+    if not sh(['config','user.email'])['stdout']: sh(['config','user.email','chatgpt-gitops-bot@cnnetmkt.top'], True)
+    if not sh(['config','user.name'])['stdout']: sh(['config','user.name','chatgpt-gitops-bot'], True)
+def checkout(branch, base='main', create=False):
+    ensure_git(); b=branch_name(branch)
+    if create or sh(['rev-parse','--verify',b])['code'] != 0:
+        sh(['checkout',base], True); sh(['checkout','-B',b], True)
+    else: sh(['checkout',b], True)
+    return b
+def write_file(path, content):
+    if content_has_secret(content): raise ValueError('secret_rejected: use secret_ref; plaintext API keys must not enter Git')
+    r=relpath(path); t=WS/r; t.parent.mkdir(parents=True, exist_ok=True); t.write_text(content, encoding='utf-8'); return r
+def write_json(path, data): return write_file(path, json.dumps(data, ensure_ascii=False, indent=2) + '\n')
+def sync_branch(branch: str) -> dict:
+    if not branch or branch in ('main','master') or branch.startswith('main/') or branch.startswith('master/'):
+        return {'status':'skipped','reason':'protected_branch','branch':branch}
+    if BARE_REPO.exists():
+        ref=f'refs/heads/{branch}:refs/heads/{branch}'
+        p=subprocess.run(['git','--git-dir',str(BARE_REPO),'fetch',str(WS),ref], text=True, capture_output=True)
+        if p.returncode != 0: raise RuntimeError(p.stderr or p.stdout or f'git sync failed for {branch}')
+        return {'status':'synced','target':'bare','branch':branch,'stdout':p.stdout.strip(),'stderr':p.stderr.strip()}
+    p=subprocess.run(['git','push','origin',f'HEAD:refs/heads/{branch}'], cwd=str(WS), text=True, capture_output=True)
+    if p.returncode != 0: raise RuntimeError(p.stderr or p.stdout or f'git push failed for {branch}')
+    return {'status':'synced','target':'origin','branch':branch,'stdout':p.stdout.strip(),'stderr':p.stderr.strip()}
+
+def sync_tag(tag: str) -> dict:
+    if not tag: return {'status':'skipped','reason':'empty_tag'}
+    if BARE_REPO.exists():
+        ref=f'refs/tags/{tag}:refs/tags/{tag}'
+        p=subprocess.run(['git','--git-dir',str(BARE_REPO),'fetch',str(WS),ref], text=True, capture_output=True)
+        if p.returncode != 0: raise RuntimeError(p.stderr or p.stdout or f'git tag sync failed for {tag}')
+        return {'status':'synced','target':'bare','tag':tag,'stdout':p.stdout.strip(),'stderr':p.stderr.strip()}
+    p=subprocess.run(['git','push','origin',tag], cwd=str(WS), text=True, capture_output=True)
+    if p.returncode != 0: raise RuntimeError(p.stderr or p.stdout or f'git tag push failed for {tag}')
+    return {'status':'synced','target':'origin','tag':tag,'stdout':p.stdout.strip(),'stderr':p.stderr.strip()}
+
+def commit(paths, msg):
+    ensure_git(); paths = [relpath(p) for p in paths] if paths else ['.']; sh(['add'] + paths, True)
+    branch=sh(['rev-parse','--abbrev-ref','HEAD'])['stdout']
+    if not sh(['status','--short'])['stdout']:
+        return {'status':'no_changes','branch':branch,'sync':sync_branch(branch)}
+    out=sh(['commit','-m',msg], True); branch=sh(['rev-parse','--abbrev-ref','HEAD'])['stdout']; sync=sync_branch(branch); return {'status':'committed','branch':branch,'rev':sh(['rev-parse','--short','HEAD'], True)['stdout'],'git':out,'sync':sync}
+def audit(actor, action, target, payload):
+    p=ROOT/'artifacts'/'chatgpt-gitops-audit.jsonl'; p.parent.mkdir(parents=True, exist_ok=True)
+    with p.open('a', encoding='utf-8') as f: f.write(json.dumps({'at':now(),'actor':actor,'action':action,'target':target,'payload':sanitize(payload)}, ensure_ascii=False)+'\n')
+def model_docs():
+    out=[]
+    for p in sorted((WS/'config'/'model_registry').glob('**/*.json')): out.append(jload(p, {'path':str(p.relative_to(WS))}))
+    return out
+def patches():
+    out=[]
+    for p in sorted((WS/'patches').glob('**/*.json')): out.append(jload(p, {'path':str(p.relative_to(WS))}))
+    return out
+
+class H(BaseHTTPRequestHandler):
+    server_version='AIOSChatGPTGitOps/V1R1C0'
+    def sendj(self, data, code=200):
+        b=json.dumps(data, ensure_ascii=False, indent=2).encode(); self.send_response(code); self.send_header('Content-Type','application/json; charset=utf-8'); self.send_header('Content-Length',str(len(b))); self.end_headers(); self.wfile.write(b)
+    def sendt(self, text, ctype='text/plain; charset=utf-8', code=200):
+        b=text.encode(); self.send_response(code); self.send_header('Content-Type',ctype); self.send_header('Content-Length',str(len(b))); self.end_headers(); self.wfile.write(b)
+    def body(self):
+        n=int(self.headers.get('Content-Length','0') or '0'); raw=self.rfile.read(n).decode() if n else '{}'
+        try: return json.loads(raw or '{}')
+        except Exception: return {'_raw':raw}
+    def actor(self):
+        auth=self.headers.get('Authorization',''); tok=auth[7:].strip() if auth.startswith('Bearer ') else self.headers.get('X-AIOS-Token','')
+        rec=authenticate(tok)
+        if rec: return {'ok':True,'account':safe(rec.get('account') or rec.get('name') or 'token-user'),'role':rec.get('role','user'),'scopes':set(rec.get('scopes') or [])}
+        return {'ok':False,'account':'anonymous','role':'anonymous','scopes':set()}
+    def need(self, scope):
+        a=self.actor()
+        if not a['ok']: self.sendj({'error':'unauthorized','hint':'Bearer token required'},401); return None
+        if '*' not in a['scopes'] and scope not in a['scopes']: self.sendj({'error':'forbidden','required_scope':scope,'account':a['account']},403); return None
+        return a
+    def do_GET(self):
+        u=urllib.parse.urlparse(self.path); path=u.path.rstrip('/') if u.path != '/' else u.path; q=urllib.parse.parse_qs(u.query)
+        try:
+            if path in ('/health','/api/health'): return self.sendj({'status':'ok','service':'chatgpt-gitops-adapter','workspace':str(WS)})
+            if path in ('/api/openapi.yaml','/api/openapi-chatgpt-actions.yaml','/api/schema'):
+                return self.sendt(OPENAPI.read_text(encoding='utf-8'), 'application/yaml; charset=utf-8') if OPENAPI.exists() else self.sendj({'error':'schema_missing'},404)
+            if path in ('/api','/api/status'): return self.sendj(api_spec())
+            if path in ('/api/base','/api/baseline','/base'):
+                data=jload(WS/'baseline'/'current.json', {}); data.setdefault('git', sh(['rev-parse','--short','HEAD'])['stdout']); return self.sendj(data)
+            if path in ('/api/ver','/api/versions','/ver'):
+                return self.sendj({'tags':sh(['tag','--list','V*'])['stdout'].splitlines(),'versions_dir':[p.name for p in (WS/'versions').glob('*')],'head':sh(['rev-parse','--short','HEAD'])['stdout']})
+            if path in ('/api/diff','/diff'):
+                frm=(q.get('from') or ['HEAD~1'])[0]; to=(q.get('to') or ['HEAD'])[0]; return self.sendj({'from':frm,'to':to,'diff':sh(['diff',frm,to])})
+            if path in ('/api/patch','/api/patches','/api/branches','/patch'): return self.sendj({'patches':patches(),'branches':sh(['branch','--format','%(refname:short)'])['stdout'].splitlines()})
+            if path in ('/api/model','/model'): return self.sendj({'base':BASE_MODELS,'custom':model_docs(),'priority':[jload(p,{}) for p in sorted((WS/'config'/'model_priority').glob('*.json'))]})
+            if path in ('/api/run','/api/runtime-status','/run'):
+                svc=subprocess.run(['systemctl','is-active','aios-gitops-model-api'], text=True, capture_output=True)
+                return self.sendj({'service':'aios-gitops-model-api','status':svc.stdout.strip() or svc.stderr.strip(),'workspace_branch':sh(['rev-parse','--abbrev-ref','HEAD'])['stdout']})
+            if path in ('/api/action-monitor','/action-monitor'):
+                latest=monitor.latest()
+                ldict={'event_id':latest.event_id,'action':latest.action,'error':latest.error,'context':latest.context,'created_at':latest.created_at} if latest else None
+                return self.sendj({'events':[{"event_id":e.event_id,"action":e.action,"error":e.error,"context":e.context,"created_at":e.created_at} for e in monitor.list_events()],'latest':ldict})
+                        # Admin AI Evolution Dashboard
+            if path in ('/admin/ai-evolution','/admin/ai-evolution/'):
+                return self.ai_evolution_page()
+            if path in ('/admin/ai-evolution/api/data'):
+                return self.ai_evolution_data()
+            return self.sendj({'error':'not_found','path':path},404)
+        except Exception as e:
+            monitor.record_failure('do_GET', str(e), {'path':path})
+            return self.sendj({'error':str(e)},500)
+    def do_PUT(self):
+        path=urllib.parse.urlparse(self.path).path.rstrip('/'); data=self.body()
+        if path == '/api/model-priority': return self.model_priority(data)
+        return self.sendj({'error':'not_found','path':path},404)
+    def do_POST(self):
+        path=urllib.parse.urlparse(self.path).path.rstrip('/'); data=self.body()
+        try:
+            if path in ('/api/branch','/api/create-branch'): return self.branch(data)
+            if path in ('/api/file','/api/commit-file'): return self.file(data)
+            if path == '/api/commit': return self.commit(data)
+            if path in ('/api/patch','/api/create-patch'): return self.patch(data)
+            if path in ('/api/tag','/api/create-tag'): return self.tag(data)
+            if path == '/api/rollback': return self.rollback(data)
+            if path == '/api/model': return self.model(data)
+            if path == '/api/model-priority': return self.model_priority(data)
+            if path == '/api/nl': return self.nl(data)
+            return self.sendj({'error':'not_found','path':path},404)
+        except Exception as e:
+            monitor.record_failure('do_POST', str(e), {'path':path})
+            return self.sendj({'error':str(e)},500)
+    def branch(self,data):
+        a=self.need('branch:create');
+        if not a: return
+        b=checkout(data.get('branch'), data.get('base','main'), True); meta={'type':'branch','branch':b,'base':data.get('base','main'),'created_by':a['account'],'created_at':now(),'direct_main_push':False,'owner_approval_required':True}
+        r=write_json(f'patches/{safe(b).replace("/","_")}.branch.json', meta); c=commit([r], data.get('message') or f'chore(chatgpt): create {b}'); audit(a['account'],'branch',b,meta); self.sendj({'status':'ok','branch':b,'commit':c})
+    def file(self,data):
+        a=self.need('file:write');
+        if not a: return
+        b=checkout(data.get('branch'), data.get('base','main'), bool(data.get('create_branch'))); r=write_file(data.get('path'), data.get('content','')); c=commit([r], data.get('message') or f'chore(chatgpt): update {r}'); audit(a['account'],'file',r,{'branch':b,'commit':c}); self.sendj({'status':'committed','branch':b,'path':r,'commit':c})
+    def commit(self,data):
+        a=self.need('commit:create');
+        if not a: return
+        b=checkout(data.get('branch') or sh(['rev-parse','--abbrev-ref','HEAD'])['stdout'], data.get('base','main'), False); paths=data.get('paths') or ['.']; paths=[paths] if isinstance(paths,str) else paths; c=commit(paths, data.get('message') or 'chore(chatgpt): commit changes'); audit(a['account'],'commit',b,{'paths':paths,'commit':c}); self.sendj({'status':c['status'],'branch':b,'commit':c})
+    def patch(self,data):
+        a=self.need('patch:create');
+        if not a: return
+        name=data.get('patch_name') or data.get('name') or uid('patch'); b=checkout(data.get('branch') or f'patch/{safe(name)}', data.get('base','main'), True); meta={'id':uid('patch'),'patch_name':name,'branch':b,'risk':data.get('risk','medium'),'description':data.get('description',''),'created_by':a['account'],'created_at':now()}
+        r=write_json(f'patches/{safe(name)}.json', meta); c=commit([r], data.get('message') or f'chore(chatgpt): create patch {name}'); audit(a['account'],'patch',name,meta); self.sendj({'status':'patch_branch_created','patch':meta,'commit':c})
+    def tag(self,data):
+        a=self.need('tag:create');
+        if not a: return
+        ver=data.get('version') or data.get('tag')
+        if not re.match(r'^V\d+R\d+C\d+(-[A-Za-z0-9_.-]+)?$', ver or ''): return self.sendj({'error':'version must match VxRxCx'},400)
+        if data.get('confirm') != True:
+            self.sendj({'status':'confirm_required','operation':'tag','hint':'This operation creates a Git tag. Confirm to proceed.','x-openai-isConsequential':True}, 428)
+            return
+        if a['role'] != 'owner' or not data.get('execute'):
+            b=checkout(data.get('branch') or f'request/tag-{safe(ver)}', 'main', True); req={'version':ver,'requested_by':a['account'],'approval_required':True,'created_at':now()}; r=write_json(f'baseline/tag_requests/{safe(ver)}.json', req); c=commit([r], f'chore(chatgpt): request tag {ver}'); return self.sendj({'status':'approval_required','branch':b,'commit':c})
+        out=sh(['tag','-a',ver,'-m',data.get('message') or f'release {ver}'], True); self.sendj({'status':'tagged','version':ver,'git':out,'sync':sync_tag(ver)})
+    def rollback(self,data):
+        a=self.need('rollback:request');
+        if not a: return
+        target=data.get('target_version') or data.get('version') or data.get('target')
+        if not target: return self.sendj({'error':'target_version required'},400)
+        b=checkout(data.get('branch') or f'request/rollback-{safe(target)}-{uid("rb")}', 'main', True); req={'id':uid('rollback'),'target_version':target,'reason':data.get('reason',''),'requested_by':a['account'],'approval_required':True,'execute':False,'created_at':now()}; r=write_json(f'baseline/rollback_requests/{safe(req["id"])}.json', req); c=commit([r], f'chore(chatgpt): request rollback {target}'); self.sendj({'status':'rollback_request_committed','branch':b,'request':req,'commit':c})
+    def model(self,data):
+        a=self.need('model:write');
+        if not a: return
+        name=data.get('model_name') or data.get('model'); base=(data.get('base_url') or '').rstrip('/'); prov=data.get('provider_name') or 'custom-provider'
+        if not name or not base: return self.sendj({'error':'provider_name/base_url/model_name required'},400)
+        owner=safe(data.get('username') or a['account']); secret_ref=data.get('api_key_secret_ref') or data.get('secret_ref')
+        if data.get('api_key'):
+            d=SECRETS/'llm'/owner; d.mkdir(parents=True, exist_ok=True); sid=uid('llmkey'); p=d/f'{sid}.secret'; p.write_text(str(data['api_key']), encoding='utf-8'); os.chmod(p,0o600); secret_ref=f'secret://llm/{owner}/{sid}'
+        if not secret_ref: return self.sendj({'error':'api_key_secret_ref or api_key required'},400)
+        mid=data.get('model_id') or f'custom.{owner}.{hashlib.sha1((prov+base+name).encode()).hexdigest()[:10]}'; b=checkout(data.get('branch') or f'patch/model-{safe(mid)}','main',True)
+        doc=sanitize({k:v for k,v in data.items() if k!='api_key'}); doc.update({'model_id':mid,'provider_name':prov,'base_url':base,'model_name':name,'api_key_secret_ref':secret_ref,'created_by':a['account'],'created_at':now()})
+        if data.get('confirm') != True:
+            self.sendj({'status':'confirm_required','operation':'model','hint':'This operation registers a new model. Confirm to proceed.','x-openai-isConsequential':True}, 428)
+            return
+        r=write_json(f'config/model_registry/chatgpt/{safe(mid)}.json', doc); c=commit([r], data.get('message') or f'chore(chatgpt): register model {name}'); audit(a['account'],'model',mid,doc); self.sendj({'status':'model_registered','branch':b,'model_id':mid,'secret_ref':secret_ref,'commit':c})
+    def model_priority(self,data):
+        a=self.need('model:priority');
+        if not a: return
+        if data.get('confirm') != True:
+            self.sendj({'status':'confirm_required','operation':'model-priority','hint':'This operation updates model priority. Confirm to proceed.','x-openai-isConsequential':True}, 428)
+            return
+        user=safe(data.get('username') or a['account']); b=checkout(data.get('branch') or f'patch/model-priority-{user}', 'main', True); doc={'username':user,'items':data.get('items') or data.get('priority') or [],'updated_by':a['account'],'updated_at':now()}; r=write_json(f'config/model_priority/{user}.json', doc); c=commit([r], data.get('message') or f'chore(chatgpt): update model priority {user}'); audit(a['account'],'model-priority',user,doc); self.sendj({'status':'updated','branch':b,'priority':doc,'commit':c})
+    def nl(self,data):
+        a=self.need('nl:plan');
+        if not a: return
+        text=data.get('text',''); low=text.lower(); intent='unknown'; plan=[]
+        if 'rollback' in low or '回滚' in text: intent='rollback_request'; plan=['commit rollback request','wait owner/admin approval']
+        elif 'diff' in low or '对比' in text: intent='diff'; plan=['call GET /api/diff']
+        elif 'model' in low or '模型' in text: intent='model_change'; plan=['use POST /api/model or PUT /api/model-priority','commit metadata']
+        elif 'patch' in low or '补丁' in text: intent='patch_create'; plan=['call POST /api/patch']
+        b=checkout(data.get('branch') or f'patch/nl-{uid("nl")}', 'main', True); doc={'id':uid('nl'),'text':text,'intent':intent,'action_plan':plan,'execute':False,'owner_approval_required':True,'created_by':a['account'],'created_at':now()}; r=write_json(f'patches/nl/{safe(doc["id"])}.json', doc); c=commit([r], f'chore(chatgpt): record nl plan {intent}'); self.sendj({'status':'planned','branch':b,'request':doc,'commit':c})
+    _EVOLUTION_HTML = '''<!DOCTYPE html>
+<html lang=zh-CN>
+<head>
+<meta charset=UTF-8>
+<meta name=viewport content="width=device-width,initial-scale=1.0">
+<title>AIOS Evolution Dashboard</title>
+<script src=https://cdn.jsdelivr.net/npm/vue@3/dist/vue.global.prod.js></script>
+<style>
+*{margin:0;padding:0;box-sizing:border-box}
+body{background:#0d1117;color:#c9d1d9;font-size:14px;line-height:1.7;font-family:-apple-system,BlinkMacSystemFont,Segoe UI,Helvetica,Arial,sans-serif}
+.c{max-width:1000px;margin:0 auto;padding:32px 24px}
+h1{font-size:24px;color:#58a6ff;margin-bottom:2px}
+.sub{color:#8b949e;font-size:13px;border-bottom:1px solid #21262d;padding-bottom:16px;margin-bottom:20px;display:flex;justify-content:space-between}
+.g{display:grid;grid-template-columns:repeat(auto-fill,minmax(160px,1fr));gap:16px;margin-bottom:20px}
+.s{background:#161b22;border:1px solid #21262d;border-radius:8px;padding:18px;text-align:center}
+.s .v{font-size:28px;font-weight:700;color:#f0f6fc}
+.s .l{font-size:11px;color:#8b949e;margin-top:4px}
+.bx{background:#161b22;border:1px solid #21262d;border-radius:8px;margin-bottom:14px}
+.bh{border-bottom:1px solid #21262d;padding:10px 16px;font-weight:600;font-size:14px;display:flex;gap:6px;align-items:center}
+.bd{padding:12px 16px}
+.rw{display:grid;grid-template-columns:1fr 1fr 100px 60px;gap:8px;padding:8px 16px;border-bottom:1px solid #21262d;font-size:13px;align-items:center;cursor:pointer;transition:background .15s}
+.rw:hover{background:#1c2128}.rw:last-child{border-bottom:none}
+.tg{display:inline-block;padding:2px 10px;border-radius:99px;font-size:11px;font-weight:600}
+.ok{background:#3fb95033;color:#3fb950}.fl{background:#da363333;color:#f85149}.if{background:#1f6feb33;color:#58a6ff}
+pre{background:#0d1117;padding:12px;border-radius:6px;overflow:auto;font-size:12px;color:#8b949e;max-height:300px;margin-top:8px}select{padding:8px 10px;border:1px solid #30363d;border-radius:6px;background:#21262d;color:#c9d1d9;font-size:13px;max-width:400px;width:100%;margin-bottom:4px;cursor:pointer}
+</style>
+</head>
+<body>
+<div id=app class=c>
+<h1>AIOS Evolution Dashboard</h1>
+<div class=sub><span>Baseline: {{baseline}}</span><span style=color:#8b949e>{{refreshMsg}}</span></div>
+<div class=g><div class=s><div class=v>{{tot}}</div><div class=l>Commands</div></div><div class=s><div class=v style=color:#3fb950>{{sok}}</div><div class=l>Succeeded</div></div><div class=s><div class=v style=color:#f85149>{{sfail}}</div><div class=l>Failed</div></div><div class=s><div class=v>{{runs}}</div><div class=l>Executions</div></div></div>
+<div class=bx><div class=bh>Version Timeline</div><div class=bd><div class=rw style=font-weight:600;border-bottom:2px solid #30363d;cursor:default><span>Version</span><span>Time</span><span>Result</span></div><div v-for=v in vs class=rw @click=selVer(v)><span style=color:#58a6ff>{{v.tag}}</span><span>{{v.time||'-'}}</span><span :class="'tg '+v.result">{{v.result||'-'}}</span></div></div></div>
+<div class=bx><div class=bh>Commands</div><div class=bd><select v-model=cmd @change=loadCmd><option value>-- Select --</option><option v-for=c in cmds :value=c>{{c}}</option></select><pre v-if=cdet>{{cdet}}</pre></div></div>
+<div class=bx><div class=bh>Recent Agent Runs</div><div class=bd><div class=rw style=font-weight:600;border-bottom:2px solid #30363d;cursor:default><span>Agent</span><span>Command</span><span>Count</span><span>Result</span></div><div v-for=r in aruns class=rw><span>{{r.agent||'-'}}</span><span style=overflow:hidden;white-space:nowrap;text-overflow:ellipsis>{{r.command}}</span><span>{{r.interaction_count||0}}</span><span :class="'tg '+r.final_result">{{r.final_result||'-'}}</span></div></div></div></div>
+<script>
+const{createApp,ref,onMounted}=Vue;createApp({setup(){const vs=ref([]),cmds=ref([]),ar=ref([]),cmd=ref(''),cdet=ref(null),tot=ref(0),sok=ref(0),sfail=ref(0),runs=ref(0),baseline=ref('V1R3C1'),refreshMsg=ref('')
+async function ld(){try{const r=await fetch('/admin/ai-evolution/api/data'),d=await r.json();baseline.value=d.baseline||'V1R3C1';vs.value=d.versions||[];cmds.value=d.commands||[];ar.value=d.agent_runs||[];tot.value=d.stats?.total||0;sok.value=d.stats?.success||0;sfail.value=d.stats?.failed||0;runs.value=d.stats?.agent_runs||0;refreshMsg.value='Last updated: '+new Date().toLocaleString()}catch(e){}}
+async function loadCmd(){if(!cmd.value){cdet.value=null;return}try{const r=await fetch('/admin/ai-evolution/api/data?command='+encodeURIComponent(cmd.value)),d=await r.json();cdet.value=JSON.stringify(d,null,2)}catch(e){cdet.value='Error'}}
+function selVer(v){cmd.value=v.tag||v.id||v.version;loadCmd()}
+onMounted(()=>{ld();setInterval(ld,30000)})
+return{vs,cmds,ar,cmd,cdet,tot,sok,sfail,runs,baseline,refreshMsg,loadCmd,selVer}})mount('#app')
+</script></body></html>'''
+
+    def ai_evolution_page(self):
+        self.send_response(200)
+        self.send_header('Content-Type', 'text/html; charset=utf-8')
+        self.send_header('Content-Length', str(len(self._EVOLUTION_HTML)))
+        self.end_headers()
+        self.wfile.write(self._EVOLUTION_HTML.encode())
+
+    def ai_evolution_data(self):
+        q=urllib.parse.urlparse(self.path).query
+        params=urllib.parse.parse_qs(q)
+        cmd_filter=(params.get('command') or [None])[0]
+        bl=jload(WS/'baseline'/'current.json',{})
+        current_ver=bl.get('current_baseline','V1R3C1')
+        tags=sh(['tag','--list','V*'])['stdout'].splitlines() if WS.exists() else []
+        versions=[]
+        if (WS/'baseline'/'promotions').exists():
+            for p in sorted((WS/'baseline'/'promotions').glob('*.json')):
+                d=jload(p,{});v=d.get('version',p.stem)
+                versions.append({'tag':v,'time':d.get('promoted_at','-'),'result':'ok'})
+        for t in tags:
+            if not any(v['tag']==t for v in versions):
+                versions.append({'tag':t,'time':'-','result':'if'})
+        agent_runs=[];ard=WS/'audit'/'agent-runs'
+        if ard.exists():
+            for f in sorted(ard.glob('*.json'),reverse=True)[:50]:
+                d=jload(f,{});agent_runs.append(d) if isinstance(d,dict) else None
+        cmd_dirs=[WS/'agents/commands/active',WS/'agents/commands/running',WS/'agents/commands/completed',WS/'agents/commands/failed']
+        commands=[]
+        for d in cmd_dirs:
+            if d.exists():
+                for f in sorted(d.glob('*.md')):
+                    commands.append(f.name)
+        command_detail=None
+        if cmd_filter:
+            for d in cmd_dirs:
+                if d.exists():
+                    fp=d/cmd_filter
+                    if fp.exists():
+                        command_detail={'command':cmd_filter,'content':fp.read_text(encoding='utf-8')}
+                        break
+            if not command_detail:
+                command_detail={'command':cmd_filter,'error':'not_found'}
+            return self.sendj(command_detail)
+        completed=list((WS/'agents/commands/completed').glob('*.md')) if (WS/'agents/commands/completed').exists() else []
+        failed=list((WS/'agents/commands/failed').glob('*.md')) if (WS/'agents/commands/failed').exists() else []
+        stats={'total':len(commands),'success':len(completed),'failed':len(failed),'agent_runs':len(agent_runs)}
+        data={'baseline':current_ver,'versions':versions[-30:],'agent_runs':agent_runs,'commands':sorted(set(commands)),'stats':stats}
+        self.sendj(data)
+
+
+def api_spec():
+    return {'version':'V1R1C0-chatgpt-actions','openapi':'/api/openapi.yaml','read':['GET /api/base','GET /api/ver','GET /api/diff','GET /api/patch','GET /api/model','GET /api/run','GET /admin/ai-evolution'],'write':['POST /api/branch','POST /api/file','POST /api/commit','POST /api/patch','POST /api/tag','POST /api/rollback','POST /api/model','PUT /api/model-priority','POST /api/nl'],'policy':{'bearer_required_for_write':True,'direct_main_push':False,'delete_tag':False,'owner_approval_required_for_v_level':True,'api_keys_in_git':False,'git_secret_field':'secret_ref','online_git_sync':True}}
+
+def main():
+    print(f'AIOS ChatGPT GitOps adapter listening on {HOST}:{PORT}')
+    ThreadingHTTPServer((HOST,PORT), H).serve_forever()
+if __name__ == '__main__': main()

active-runtime/app/aios_gitops_model_api.py

@@ -51,7 +51,7 @@ def seed_base_models():
         pid = 'provider.openai' if m['provider']=='openai' else 'provider.one-api'
         exec_sql('''INSERT OR IGNORE INTO llm_models(id,provider_id,owner_username,model_name,display_name,context_window,input_modalities,output_modalities,supports_tools,supports_vision,supports_reasoning,cost_tier,is_base,scope,status,created_at,updated_at) VALUES(?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)''', (m['id'], pid, 'system', m['model'], m['display'], m['context'], '["text"]', '["text"]', m['tools'], m['vision'], m['reasoning'], m['tier'], 1, 'global', 'active', now(), now()))
     if not one('SELECT * FROM gitops_baseline WHERE id=?', ('current',)):
-        exec_sql('INSERT INTO gitops_baseline(id,active_version,active_tag,source_package,entry,update_mode,status,created_at,updated_at) VALUES(?,?,?,?,?,?,?,?,?)', ('current','V1R1C0','V1R1C0','AIOS_V1R1C0_MULTIUSER_GITOPS_CUSTOM_LLM_PROD_FULL_DEPLOY_20260706',ENTRY,'git_patch_only','active',now(),now()))
+        exec_sql('INSERT INTO gitops_baseline(id,active_version,active_tag,source_package,entry,update_mode,status,created_at,updated_at) VALUES(?,?,?,?,?,?,?,?,?)', ('current','V1R1C0','V1R1C0-baseline-20260706','AIOS_V1R1C0_MULTIUSER_GITOPS_CUSTOM_LLM_PROD_FULL_DEPLOY_20260706.zip',ENTRY,'git_patch_only','active',now(),now()))
     if not one('SELECT * FROM gitops_versions WHERE version=?', ('V1R1C0',)):
         exec_sql('INSERT INTO gitops_versions(version,tag,level,summary,status,created_by,created_at) VALUES(?,?,?,?,?,?,?)', ('V1R1C0','V1R1C0','R','MultiUser runtime selector + GitOps + custom LLM priority registry','ready','system',now()))
 
@@ -127,6 +127,8 @@ class Handler(BaseHTTPRequestHandler):
                 body = '<h2>Base Models</h2>'+self.table([m for m in model_visible_to(username) if int(m.get('is_base') or 0)==1]); body += '<h2>Custom Models</h2>'+self.table([m for m in model_visible_to(username) if int(m.get('is_base') or 0)==0]); body += '<h2>Priority</h2>'+self.table(priority_for(username)); self.send_html('Model Registry', body); return
             if path in ('/api/runtime/status','/run'):
                 data = rows('SELECT * FROM runtime_instances ORDER BY created_at DESC LIMIT 100'); self.send_html('Runtime', self.table(data)) if path == '/run' else self.send_json(data); return
+            if path in ('/hook','/api/hook'):
+                self.send_html('Git Webhook', '<pre>'+esc(json.dumps({'status':'ready','endpoint':'/hook/git','version':'V1R1C0'}, ensure_ascii=False, indent=2))+'</pre>'); return
             if path == '/api/audit': self.send_json(rows('SELECT * FROM model_audit_logs ORDER BY created_at DESC LIMIT 200')); return
             self.send_json({'error':'not_found','path':path},404)
         except Exception as e: self.send_json({'error':str(e)},500)
@@ -236,6 +238,22 @@ class Handler(BaseHTTPRequestHandler):
                 elif '模型' in text and ('添加' in text or '新增' in text or 'add' in text.lower()): intent='add_custom_model'; plan=['validate provider','store api key as secret_ref','call /api/model/custom/add']
                 elif 'patch' in text.lower() or '补丁' in text: intent='create_patch'; plan=['create patch branch','commit patch metadata','run tests']
                 self.send_json({'intent':intent,'action_plan':plan,'execute':False,'safety_check':'V-level changes require owner approval'}); return
+            if path in ('/hook/git','/api/hook/git'):
+                event_id = uid('hook')
+                event_file = ROOT / 'artifacts' / 'git-webhook-events.jsonl'
+                event_file.parent.mkdir(parents=True, exist_ok=True)
+                event = {
+                    'id': event_id,
+                    'received_at': now(),
+                    'event': self.headers.get('X-Gitea-Event') or self.headers.get('X-GitHub-Event') or data.get('event') or 'unknown',
+                    'ref': data.get('ref'),
+                    'repository': (data.get('repository') or {}).get('full_name') if isinstance(data.get('repository'), dict) else data.get('repository'),
+                }
+                with event_file.open('a', encoding='utf-8') as fh:
+                    fh.write(json.dumps(event, ensure_ascii=False) + '\n')
+                smoke = subprocess.run(['bash','scripts/package_contract_check_v1r1c0.sh'], cwd=str(WORKSPACE), text=True, capture_output=True, timeout=120)
+                audit('webhook','git_event',event_id,{'event':event,'smoke_code':smoke.returncode})
+                self.send_json({'status':'accepted' if smoke.returncode == 0 else 'smoke_failed','id':event_id,'event':event,'smoke':{'code':smoke.returncode,'stdout':smoke.stdout[-2000:],'stderr':smoke.stderr[-2000:]}}); return
             self.send_json({'error':'not_found','path':path},404)
         except Exception as e: self.send_json({'error':str(e)},500)
 

active-runtime/app/architect_governance_agent.py

@@ -0,0 +1,120 @@
+"""Architect governance agent responsibilities.
+
+This agent records requirement changes, maintains versioned human-readable
+requirement/architecture/deployment/test documents, reviews architecture changes,
+validates deployment docs against actual configuration, and produces version bump
+recommendations.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass(frozen=True)
+class RequirementChange:
+    id: str
+    source: str
+    actor: str
+    requirement: str
+    created_at: str = field(default_factory=utc_now)
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class DocumentRefreshPlan:
+    requirement_doc: bool
+    architecture_doc: bool
+    deployment_doc: bool
+    test_case_doc: bool
+    reason: str
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class ArchitectureReviewDecision:
+    status: str
+    findings: list[str]
+    optimization_recommendations: list[str]
+    version_bump: str
+    docs_to_refresh: DocumentRefreshPlan
+    created_at: str = field(default_factory=utc_now)
+
+    def to_dict(self) -> dict[str, Any]:
+        return {
+            "status": self.status,
+            "findings": self.findings,
+            "optimization_recommendations": self.optimization_recommendations,
+            "version_bump": self.version_bump,
+            "docs_to_refresh": self.docs_to_refresh.to_dict(),
+            "created_at": self.created_at,
+        }
+
+
+class ArchitectGovernanceAgent:
+    """Independent architecture governance role."""
+
+    def record_requirement_change(self, source: str, actor: str, requirement: str) -> RequirementChange:
+        change_id = "REQ-" + datetime.now(timezone.utc).strftime("%Y%m%d%H%M%S")
+        return RequirementChange(change_id, source, actor, requirement)
+
+    def review_architecture_change(self, proposal: dict[str, Any]) -> ArchitectureReviewDecision:
+        impact = proposal.get("impact", "medium")
+        findings = [
+            "requirement_traceability_checked",
+            "architecture_consistency_checked",
+            "deployment_doc_alignment_checked",
+            "test_case_doc_required",
+            "rollback_and_owner_gate_checked",
+        ]
+        recommendations = [
+            "refresh user requirements document",
+            "refresh architecture design document",
+            "refresh engineering deployment document",
+            "generate acceptance test case document",
+        ]
+        version_bump = self.decide_version_bump(proposal)
+        return ArchitectureReviewDecision(
+            status="review_required" if impact in {"high", "architecture"} else "pass",
+            findings=findings,
+            optimization_recommendations=recommendations,
+            version_bump=version_bump,
+            docs_to_refresh=DocumentRefreshPlan(True, True, True, True, "architecture or requirement changed"),
+        )
+
+    def decide_version_bump(self, proposal: dict[str, Any]) -> str:
+        if proposal.get("breaks_architecture") or proposal.get("major_capability"):
+            return "V"
+        if proposal.get("new_release_capability") or proposal.get("architecture_change"):
+            return "R"
+        return "C"
+
+    def validate_deployment_doc(self, deployment_doc: dict[str, Any], actual_config: dict[str, Any]) -> dict[str, Any]:
+        expected = set(deployment_doc.get("services", []))
+        actual = set(actual_config.get("services", []))
+        missing = sorted(expected - actual)
+        extra = sorted(actual - expected)
+        return {
+            "status": "pass" if not missing else "attention_required",
+            "missing_services": missing,
+            "extra_services": extra,
+            "checked_at": utc_now(),
+        }
+
+
+__all__ = [
+    "RequirementChange",
+    "DocumentRefreshPlan",
+    "ArchitectureReviewDecision",
+    "ArchitectGovernanceAgent",
+]

active-runtime/app/architect_governance_api.py

@@ -0,0 +1,32 @@
+"""API for Architect Governance Center."""
+
+try:
+    from fastapi import APIRouter
+except Exception:
+    APIRouter = None
+
+from .architect_governance_dashboard import ArchitectGovernanceDashboard
+
+
+dashboard = ArchitectGovernanceDashboard()
+
+
+def get_architect_governance_overview():
+    return dashboard.overview()
+
+
+def build_router():
+    if APIRouter is None:
+        return None
+    router = APIRouter(prefix="/admin/ai-evolution/architect", tags=["architect-governance"])
+
+    @router.get("/overview", operation_id="getArchitectGovernanceOverview")
+    def overview():
+        return get_architect_governance_overview()
+
+    return router
+
+
+router = build_router()
+
+__all__ = ["router", "get_architect_governance_overview"]

active-runtime/app/architect_governance_dashboard.py

@@ -0,0 +1,153 @@
+"""Web UI dashboard model for Architect Governance Agent.
+
+Shows requirement changes, architecture review findings, document refresh status,
+deployment consistency, test case readiness, weekly research and V/R/C version
+recommendations.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass(frozen=True)
+class ArchitectPanelMetric:
+    key: str
+    title: str
+    value: Any
+    status: str = "ok"
+    detail: str = ""
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class ArchitectPanel:
+    key: str
+    title: str
+    description: str
+    metrics: list[ArchitectPanelMetric] = field(default_factory=list)
+
+    def to_dict(self) -> dict[str, Any]:
+        return {
+            "key": self.key,
+            "title": self.title,
+            "description": self.description,
+            "metrics": [m.to_dict() for m in self.metrics],
+        }
+
+
+class ArchitectGovernanceDashboard:
+    def overview(
+        self,
+        requirement_changes: list[dict[str, Any]] | None = None,
+        architecture_reviews: list[dict[str, Any]] | None = None,
+        document_status: dict[str, Any] | None = None,
+        research_status: dict[str, Any] | None = None,
+        version_recommendations: list[dict[str, Any]] | None = None,
+    ) -> dict[str, Any]:
+        requirement_changes = requirement_changes or []
+        architecture_reviews = architecture_reviews or []
+        document_status = document_status or {}
+        research_status = research_status or {}
+        version_recommendations = version_recommendations or []
+        panels = [
+            self.requirement_panel(requirement_changes),
+            self.architecture_panel(architecture_reviews),
+            self.document_panel(document_status),
+            self.research_panel(research_status),
+            self.version_panel(version_recommendations),
+        ]
+        return {
+            "module": "architect-governance",
+            "route": "/admin/ai-evolution/architect",
+            "title": "架构师 Agent 治理中心",
+            "status": "attention_required" if any(self._panel_warn(panel) for panel in panels) else "healthy",
+            "generated_at": utc_now(),
+            "panels": [panel.to_dict() for panel in panels],
+            "requirement_changes": requirement_changes,
+            "architecture_reviews": architecture_reviews,
+            "version_recommendations": version_recommendations,
+        }
+
+    def requirement_panel(self, changes: list[dict[str, Any]]) -> ArchitectPanel:
+        return ArchitectPanel(
+            key="requirements",
+            title="需求变化记录",
+            description="记录来自 Custom GPT、Codex、OpenClaw、Hermes 和用户反馈的需求变化。",
+            metrics=[
+                ArchitectPanelMetric("total_requirement_changes", "需求变化数量", len(changes)),
+                ArchitectPanelMetric(
+                    "undocumented_changes",
+                    "待刷新到用户需求文档",
+                    len([c for c in changes if not c.get("documented")]),
+                    "warn" if any(not c.get("documented") for c in changes) else "ok",
+                ),
+            ],
+        )
+
+    def architecture_panel(self, reviews: list[dict[str, Any]]) -> ArchitectPanel:
+        pending = [r for r in reviews if r.get("status") not in {"pass", "not_required"}]
+        return ArchitectPanel(
+            key="architecture_review",
+            title="全量架构审视",
+            description="展示架构一致性、扩展性、安全边界、可运维性和回滚策略审查。",
+            metrics=[
+                ArchitectPanelMetric("review_count", "架构审查数量", len(reviews)),
+                ArchitectPanelMetric("pending_reviews", "待处理架构审查", len(pending), "warn" if pending else "ok"),
+            ],
+        )
+
+    def document_panel(self, status: dict[str, Any]) -> ArchitectPanel:
+        required_docs = ["requirements", "architecture", "deployment", "test_cases"]
+        missing = [doc for doc in required_docs if status.get(doc) not in {"ready", "updated"}]
+        return ArchitectPanel(
+            key="documents",
+            title="文档版本化状态",
+            description="用户需求、架构设计、工程部署、测试例文档刷新状态。",
+            metrics=[
+                ArchitectPanelMetric("requirements_doc", "用户需求文档", status.get("requirements", "unknown"), "warn" if "requirements" in missing else "ok"),
+                ArchitectPanelMetric("architecture_doc", "架构设计文档", status.get("architecture", "unknown"), "warn" if "architecture" in missing else "ok"),
+                ArchitectPanelMetric("deployment_doc", "工程部署文档", status.get("deployment", "unknown"), "warn" if "deployment" in missing else "ok"),
+                ArchitectPanelMetric("test_case_doc", "测试例文档", status.get("test_cases", "unknown"), "warn" if "test_cases" in missing else "ok"),
+            ],
+        )
+
+    def research_panel(self, status: dict[str, Any]) -> ArchitectPanel:
+        overdue = bool(status.get("overdue"))
+        return ArchitectPanel(
+            key="weekly_research",
+            title="每周外部技术情报",
+            description="联网搜索 Agent/模型版本、GitHub top 实现、潜在安全影响。",
+            metrics=[
+                ArchitectPanelMetric("last_research_at", "最近调研时间", status.get("last_research_at", "never"), "warn" if overdue else "ok"),
+                ArchitectPanelMetric("findings", "发现数量", status.get("findings", 0)),
+                ArchitectPanelMetric("optimization_candidates", "可借鉴优化项", status.get("optimization_candidates", 0)),
+            ],
+        )
+
+    def version_panel(self, recommendations: list[dict[str, Any]]) -> ArchitectPanel:
+        latest = recommendations[-1] if recommendations else {}
+        return ArchitectPanel(
+            key="version_decision",
+            title="V/R/C 版本建议",
+            description="由架构师 Agent 判断变更应进入 C、R 或 V。",
+            metrics=[
+                ArchitectPanelMetric("recommendation_count", "版本建议数量", len(recommendations)),
+                ArchitectPanelMetric("latest_recommendation", "最近建议", latest.get("version_bump", "none")),
+                ArchitectPanelMetric("reason", "建议原因", latest.get("reason", "")),
+            ],
+        )
+
+    def _panel_warn(self, panel: ArchitectPanel) -> bool:
+        return any(metric.status == "warn" for metric in panel.metrics)
+
+
+__all__ = ["ArchitectPanelMetric", "ArchitectPanel", "ArchitectGovernanceDashboard"]

active-runtime/app/architect_research_dashboard.py

@@ -0,0 +1,40 @@
+"""Web UI model for Architect weekly research."""
+
+from .architect_weekly_research_agent import ArchitectWeeklyResearchAgent
+
+
+class ArchitectResearchDashboard:
+    def __init__(self, agent=None):
+        self.agent = agent or ArchitectWeeklyResearchAgent()
+
+    def overview(self):
+        return {
+            "module": "architect-weekly-research",
+            "route": "/admin/ai-evolution/architect/research",
+            "title": "架构师 Agent 技术情报中心",
+            "panels": [
+                {
+                    "title": "Research Targets",
+                    "data": self.agent.plan(),
+                },
+                {
+                    "title": "Evaluation",
+                    "fields": [
+                        "relevance",
+                        "impact",
+                        "recommendation",
+                    ],
+                },
+                {
+                    "title": "Version Decision",
+                    "fields": [
+                        "C",
+                        "R",
+                        "V",
+                    ],
+                },
+            ],
+        }
+
+
+__all__ = ["ArchitectResearchDashboard"]

active-runtime/app/architect_research_timeline.py

@@ -0,0 +1,122 @@
+"""Architect research timeline dashboard.
+
+Shows weekly external research findings as a traceable architecture-impact flow:
+research target -> finding -> impact -> recommendation -> version decision ->
+governance event.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass(frozen=True)
+class ResearchTimelineStep:
+    id: str
+    title: str
+    step_type: str
+    status: str
+    source: str
+    timestamp: str
+    impact: str = "none"
+    version_bump: str = "none"
+    detail: dict[str, Any] = field(default_factory=dict)
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+class ArchitectResearchTimeline:
+    ORDER = {
+        "research_planned": 10,
+        "finding_created": 20,
+        "impact_analyzed": 30,
+        "recommendation_created": 40,
+        "version_decision_created": 50,
+        "architecture_review_event_created": 60,
+    }
+
+    def build(self, findings: list[dict[str, Any]] | None = None, decisions: list[dict[str, Any]] | None = None) -> dict[str, Any]:
+        findings = findings or []
+        decisions = decisions or []
+        steps: list[ResearchTimelineStep] = [
+            ResearchTimelineStep(
+                id="research-plan",
+                title="每周技术情报调研计划",
+                step_type="research_planned",
+                status="ok",
+                source="architect-agent",
+                timestamp=utc_now(),
+                detail={"cadence": "weekly"},
+            )
+        ]
+        for idx, finding in enumerate(findings):
+            steps.append(
+                ResearchTimelineStep(
+                    id=finding.get("id", f"finding-{idx}"),
+                    title=finding.get("title", "research finding"),
+                    step_type="finding_created",
+                    status="ok",
+                    source=finding.get("source", "unknown"),
+                    timestamp=finding.get("created_at", utc_now()),
+                    impact=finding.get("impact", "none"),
+                    detail=finding,
+                )
+            )
+            steps.append(
+                ResearchTimelineStep(
+                    id=f"impact-{finding.get('id', idx)}",
+                    title="架构影响分析",
+                    step_type="impact_analyzed",
+                    status="attention_required" if finding.get("impact") in {"architecture", "breaking", "new_capability"} else "ok",
+                    source="architect-agent",
+                    timestamp=utc_now(),
+                    impact=finding.get("impact", "none"),
+                    detail={"relevance": finding.get("relevance"), "recommendation": finding.get("recommendation")},
+                )
+            )
+        for idx, decision in enumerate(decisions):
+            steps.append(
+                ResearchTimelineStep(
+                    id=decision.get("id", f"decision-{idx}"),
+                    title="C/R/V 版本建议",
+                    step_type="version_decision_created",
+                    status=decision.get("status", "ok"),
+                    source="architect-agent",
+                    timestamp=decision.get("created_at", utc_now()),
+                    version_bump=decision.get("version_bump", "none"),
+                    detail=decision,
+                )
+            )
+        steps.sort(key=lambda s: (self.ORDER.get(s.step_type, 999), s.timestamp))
+        return {
+            "module": "architect-research-timeline",
+            "route": "/admin/ai-evolution/architect/research/timeline",
+            "title": "架构师技术情报时间线",
+            "status": self._status(steps),
+            "generated_at": utc_now(),
+            "steps": [step.to_dict() for step in steps],
+            "summary": self._summary(steps),
+        }
+
+    def _status(self, steps: list[ResearchTimelineStep]) -> str:
+        if any(step.status == "attention_required" for step in steps):
+            return "attention_required"
+        return "healthy"
+
+    def _summary(self, steps: list[ResearchTimelineStep]) -> dict[str, Any]:
+        return {
+            "findings": len([s for s in steps if s.step_type == "finding_created"]),
+            "architecture_impacts": len([s for s in steps if s.impact in {"architecture", "breaking", "new_capability"}]),
+            "version_decisions": len([s for s in steps if s.step_type == "version_decision_created"]),
+            "recommended_bumps": sorted({s.version_bump for s in steps if s.version_bump != "none"}),
+        }
+
+
+__all__ = ["ResearchTimelineStep", "ArchitectResearchTimeline"]

active-runtime/app/architect_research_timeline_api.py

@@ -0,0 +1,32 @@
+"""API for architect research timeline."""
+
+try:
+    from fastapi import APIRouter
+except Exception:
+    APIRouter = None
+
+from .architect_research_timeline import ArchitectResearchTimeline
+
+
+timeline = ArchitectResearchTimeline()
+
+
+def get_architect_research_timeline():
+    return timeline.build()
+
+
+def build_router():
+    if APIRouter is None:
+        return None
+    router = APIRouter(prefix="/admin/ai-evolution/architect/research", tags=["architect-research"])
+
+    @router.get("/timeline", operation_id="getArchitectResearchTimeline")
+    def get_timeline():
+        return get_architect_research_timeline()
+
+    return router
+
+
+router = build_router()
+
+__all__ = ["router", "get_architect_research_timeline"]

active-runtime/app/architect_weekly_research_agent.py

@@ -0,0 +1,113 @@
+"""Weekly external research loop for Architect Governance Agent.
+
+The agent plans and normalizes weekly research tasks. Actual internet access is
+provided by the runtime/search worker; this module defines the audited workflow,
+findings, impact analysis, and V/R/C recommendations.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+from uuid import uuid4
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass(frozen=True)
+class ResearchTarget:
+    id: str
+    topic: str
+    source_type: str
+    query: str
+    cadence: str = "weekly"
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class ResearchFinding:
+    id: str
+    target_id: str
+    title: str
+    summary: str
+    source: str
+    relevance: str
+    impact: str
+    recommendation: str
+    created_at: str = field(default_factory=utc_now)
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class ResearchDecision:
+    status: str
+    version_bump: str
+    reason: str
+    findings: list[ResearchFinding]
+    created_at: str = field(default_factory=utc_now)
+
+    def to_dict(self) -> dict[str, Any]:
+        return {
+            "status": self.status,
+            "version_bump": self.version_bump,
+            "reason": self.reason,
+            "findings": [f.to_dict() for f in self.findings],
+            "created_at": self.created_at,
+        }
+
+
+class ArchitectWeeklyResearchAgent:
+    DEFAULT_TARGETS = (
+        ResearchTarget("agent-frameworks", "Agent framework versions", "web", "latest multi-agent orchestration framework releases"),
+        ResearchTarget("model-ecosystem", "Model ecosystem changes", "web", "latest LLM model releases tool calling agent features"),
+        ResearchTarget("github-top-agentops", "GitHub top AgentOps implementations", "github", "top repositories agent observability multi agent orchestration"),
+        ResearchTarget("security-agent-risks", "Agent security changes", "web", "latest AI agent security sandbox prompt injection tool use risks"),
+    )
+
+    def plan(self) -> dict[str, Any]:
+        return {
+            "status": "planned",
+            "cadence": "weekly",
+            "targets": [target.to_dict() for target in self.DEFAULT_TARGETS],
+            "created_at": utc_now(),
+        }
+
+    def normalize_finding(
+        self,
+        target_id: str,
+        title: str,
+        summary: str,
+        source: str,
+        relevance: str = "medium",
+        impact: str = "none",
+        recommendation: str = "monitor",
+    ) -> ResearchFinding:
+        return ResearchFinding(
+            id=f"finding_{uuid4().hex[:12]}",
+            target_id=target_id,
+            title=title,
+            summary=summary,
+            source=source,
+            relevance=relevance,
+            impact=impact,
+            recommendation=recommendation,
+        )
+
+    def decide(self, findings: list[ResearchFinding]) -> ResearchDecision:
+        if any(f.impact == "breaking" for f in findings):
+            return ResearchDecision("action_required", "V", "breaking external ecosystem change", findings)
+        if any(f.impact in {"architecture", "new_capability"} for f in findings):
+            return ResearchDecision("optimization_recommended", "R", "external capability may improve architecture", findings)
+        if any(f.impact in {"bugfix", "minor"} for f in findings):
+            return ResearchDecision("minor_change_recommended", "C", "minor compatible improvement", findings)
+        return ResearchDecision("no_action", "none", "no relevant external change", findings)
+
+
+__all__ = ["ResearchTarget", "ResearchFinding", "ResearchDecision", "ArchitectWeeklyResearchAgent"]

active-runtime/app/architecture_change_api.py

@@ -0,0 +1,32 @@
+"""API for architecture change governance dashboard."""
+
+try:
+    from fastapi import APIRouter
+except Exception:
+    APIRouter = None
+
+from .architecture_change_dashboard import ArchitectureChangeDashboard
+
+
+dashboard = ArchitectureChangeDashboard()
+
+
+def get_architecture_change_overview():
+    return dashboard.overview()
+
+
+def build_router():
+    if APIRouter is None:
+        return None
+    router = APIRouter(prefix="/admin/ai-evolution/architecture-changes", tags=["architecture-changes"])
+
+    @router.get("/overview", operation_id="getArchitectureChangeOverview")
+    def overview():
+        return get_architecture_change_overview()
+
+    return router
+
+
+router = build_router()
+
+__all__ = ["router", "get_architecture_change_overview"]

active-runtime/app/architecture_change_classifier.py

@@ -0,0 +1,90 @@
+"""Architecture change classification.
+
+Small compatible architecture changes may be handled automatically by the
+Architect Agent with audit evidence. Large, risky, production-impacting or
+breaking architecture changes require explicit Owner approval before
+implementation.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from typing import Any
+
+
+@dataclass(frozen=True)
+class ArchitectureChangeClassification:
+    level: str
+    owner_required: bool
+    auto_implement_allowed: bool
+    version_bump: str
+    reasons: list[str] = field(default_factory=list)
+    required_gates: list[str] = field(default_factory=list)
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+class ArchitectureChangeClassifier:
+    """Classifies architecture changes into small/medium/large governance paths."""
+
+    LARGE_FLAGS = {
+        "breaking_change",
+        "breaks_architecture",
+        "production_architecture_update",
+        "security_boundary_change",
+        "cross_tenant_effect",
+        "cross_user_data_effect",
+        "data_migration",
+        "permission_model_change",
+        "runtime_infrastructure_change",
+    }
+
+    def classify(self, change: dict[str, Any]) -> ArchitectureChangeClassification:
+        risk = str(change.get("risk", "medium")).lower()
+        version_bump = str(change.get("version_bump", change.get("recommended_version_bump", "C"))).upper()
+        scope = str(change.get("scope", "component")).lower()
+        reasons: list[str] = []
+
+        for flag in sorted(self.LARGE_FLAGS):
+            if change.get(flag):
+                reasons.append(flag)
+
+        if risk in {"high", "critical"}:
+            reasons.append(f"risk={risk}")
+        if version_bump == "V":
+            reasons.append("version_bump=V")
+        if version_bump == "R" and scope in {"system", "platform", "production", "cross_agent", "cross_tenant"}:
+            reasons.append(f"version_bump=R scope={scope}")
+
+        if reasons:
+            return ArchitectureChangeClassification(
+                level="large",
+                owner_required=True,
+                auto_implement_allowed=False,
+                version_bump=version_bump,
+                reasons=reasons,
+                required_gates=["architect_review", "owner_architecture_approval", "test_gate", "promotion_gate"],
+            )
+
+        if risk == "low" and version_bump in {"C", "NONE"} and scope in {"component", "local", "documentation", "test"}:
+            return ArchitectureChangeClassification(
+                level="small",
+                owner_required=False,
+                auto_implement_allowed=True,
+                version_bump=version_bump,
+                reasons=["low_risk_compatible_change"],
+                required_gates=["architect_review", "audit", "test_gate"],
+            )
+
+        return ArchitectureChangeClassification(
+            level="medium",
+            owner_required=False,
+            auto_implement_allowed=False,
+            version_bump=version_bump,
+            reasons=["requires_architect_review_before_implementation"],
+            required_gates=["architect_review", "test_gate", "audit"],
+        )
+
+
+__all__ = ["ArchitectureChangeClassification", "ArchitectureChangeClassifier"]

active-runtime/app/architecture_change_dashboard.py

@@ -0,0 +1,93 @@
+"""Architecture change governance dashboard.
+
+Displays architecture change classification, owner approval requirements,
+implementation readiness, version recommendation and audit evidence for Web UI.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+
+from .architecture_change_classifier import ArchitectureChangeClassifier
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass(frozen=True)
+class ArchitectureChangeView:
+    change_id: str
+    title: str
+    level: str
+    owner_required: bool
+    auto_implement_allowed: bool
+    version_bump: str
+    status: str
+    reasons: list[str] = field(default_factory=list)
+    required_gates: list[str] = field(default_factory=list)
+    owner_decision: str | None = None
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+class ArchitectureChangeDashboard:
+    def __init__(self, classifier: ArchitectureChangeClassifier | None = None):
+        self.classifier = classifier or ArchitectureChangeClassifier()
+
+    def overview(self, changes: list[dict[str, Any]] | None = None) -> dict[str, Any]:
+        changes = changes or []
+        views = [self._view(change) for change in changes]
+        return {
+            "module": "architecture-change-governance",
+            "route": "/admin/ai-evolution/architecture-changes",
+            "title": "架构变更治理中心",
+            "status": self._status(views),
+            "generated_at": utc_now(),
+            "summary": self._summary(views),
+            "changes": [view.to_dict() for view in views],
+        }
+
+    def _view(self, change: dict[str, Any]) -> ArchitectureChangeView:
+        classification = self.classifier.classify(change)
+        owner_decision = change.get("owner_decision")
+        if classification.owner_required and owner_decision != "approved":
+            status = "waiting_owner_approval"
+        elif classification.auto_implement_allowed:
+            status = "auto_implementation_allowed"
+        else:
+            status = "ready_after_required_gates"
+        return ArchitectureChangeView(
+            change_id=change.get("change_id", change.get("id", "unknown")),
+            title=change.get("title", "architecture change"),
+            level=classification.level,
+            owner_required=classification.owner_required,
+            auto_implement_allowed=classification.auto_implement_allowed,
+            version_bump=classification.version_bump,
+            status=status,
+            reasons=classification.reasons,
+            required_gates=classification.required_gates,
+            owner_decision=owner_decision,
+        )
+
+    def _status(self, views: list[ArchitectureChangeView]) -> str:
+        if any(view.status == "waiting_owner_approval" for view in views):
+            return "attention_required"
+        return "healthy"
+
+    def _summary(self, views: list[ArchitectureChangeView]) -> dict[str, Any]:
+        return {
+            "total": len(views),
+            "small": len([v for v in views if v.level == "small"]),
+            "medium": len([v for v in views if v.level == "medium"]),
+            "large": len([v for v in views if v.level == "large"]),
+            "waiting_owner_approval": len([v for v in views if v.status == "waiting_owner_approval"]),
+            "auto_allowed": len([v for v in views if v.auto_implement_allowed]),
+            "version_bumps": sorted({v.version_bump for v in views if v.version_bump and v.version_bump != "NONE"}),
+        }
+
+
+__all__ = ["ArchitectureChangeView", "ArchitectureChangeDashboard"]

active-runtime/app/architecture_owner_gate.py

@@ -0,0 +1,89 @@
+"""Owner approval gate for architecture changes.
+
+Architecture changes may be proposed, reviewed and optimized by agents, but they
+must not be implemented until owner approval is recorded. This gate sits before
+implementation and before promotion.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass(frozen=True)
+class ArchitectureOwnerApprovalRequest:
+    request_id: str
+    change_id: str
+    title: str
+    reason: str
+    risk: str
+    architect_decision: str
+    status: str = "pending_owner_approval"
+    created_at: str = field(default_factory=utc_now)
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class ArchitectureOwnerDecision:
+    request_id: str
+    change_id: str
+    decision: str
+    decided_by: str
+    reason: str = ""
+    decided_at: str = field(default_factory=utc_now)
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+class ArchitectureOwnerGate:
+    """Blocks architecture implementation until owner explicitly approves."""
+
+    def create_request(self, change: dict[str, Any], architect_decision: dict[str, Any]) -> ArchitectureOwnerApprovalRequest:
+        return ArchitectureOwnerApprovalRequest(
+            request_id=f"ARCH-OWNER-{change.get('change_id', change.get('id', 'unknown'))}",
+            change_id=change.get("change_id", change.get("id", "unknown")),
+            title=change.get("title", "architecture change"),
+            reason=change.get("reason", "architecture impact requires owner approval"),
+            risk=change.get("risk", "medium"),
+            architect_decision=architect_decision.get("status", "reviewed"),
+        )
+
+    def can_implement(self, request: dict[str, Any], decision: dict[str, Any] | None = None) -> dict[str, Any]:
+        if not decision:
+            return {
+                "allowed": False,
+                "status": "waiting_owner_approval",
+                "reason": "architecture change requires owner approval before implementation",
+                "request": request,
+            }
+        if decision.get("decision") == "approved":
+            return {
+                "allowed": True,
+                "status": "owner_approved",
+                "reason": decision.get("reason", "approved by owner"),
+                "request": request,
+                "decision": decision,
+            }
+        return {
+            "allowed": False,
+            "status": "owner_rejected",
+            "reason": decision.get("reason", "rejected by owner"),
+            "request": request,
+            "decision": decision,
+        }
+
+
+__all__ = [
+    "ArchitectureOwnerApprovalRequest",
+    "ArchitectureOwnerDecision",
+    "ArchitectureOwnerGate",
+]

active-runtime/app/architecture_owner_gate_http.py

@@ -0,0 +1,79 @@
+"""HTTP handler and display data for architecture owner gate."""
+
+from __future__ import annotations
+
+from dataclasses import asdict
+from datetime import datetime, timezone
+from typing import Any
+
+from .architecture_owner_gate import ArchitectureOwnerGate, ArchitectureOwnerApprovalRequest
+
+
+gate = ArchitectureOwnerGate()
+
+# In-memory store for pending approval requests
+_pending_requests: dict[str, dict[str, Any]] = {}
+_decisions: dict[str, dict[str, Any]] = {}
+
+
+def create_owner_approval_request(change: dict[str, Any], architect_decision: dict[str, Any]) -> dict[str, Any]:
+    req = gate.create_request(change, architect_decision)
+    d = asdict(req)
+    _pending_requests[req.change_id] = d
+    return d
+
+
+def approve_request(change_id: str, decided_by: str = "owner", reason: str = "") -> dict[str, Any]:
+    req = _pending_requests.get(change_id)
+    if not req:
+        return {"error": f"no pending request for change_id={change_id}"}
+    decision = asdict(
+        ArchitectureOwnerApprovalRequest.__bases__[1].__new__(type("_ArchitectureOwnerDecision", (), {}))  # noqa
+    )
+    try:
+        from .architecture_owner_gate import ArchitectureOwnerDecision
+        dec = ArchitectureOwnerDecision(
+            request_id=req["request_id"],
+            change_id=change_id,
+            decision="approved",
+            decided_by=decided_by,
+            reason=reason,
+        )
+        d = asdict(dec)
+        _decisions[change_id] = d
+        # remove from pending
+        _pending_requests.pop(change_id, None)
+        return {"allowed": True, "decision": d}
+    except Exception as exc:
+        return {"error": str(exc)}
+
+
+def reject_request(change_id: str, decided_by: str = "owner", reason: str = "") -> dict[str, Any]:
+    from .architecture_owner_gate import ArchitectureOwnerDecision
+    req = _pending_requests.get(change_id)
+    if not req:
+        return {"error": f"no pending request for change_id={change_id}"}
+    try:
+        dec = ArchitectureOwnerDecision(
+            request_id=req["request_id"],
+            change_id=change_id,
+            decision="rejected",
+            decided_by=decided_by,
+            reason=reason,
+        )
+        d = asdict(dec)
+        _decisions[change_id] = d
+        _pending_requests.pop(change_id, None)
+        return {"allowed": False, "decision": d}
+    except Exception as exc:
+        return {"error": str(exc)}
+
+
+def get_owner_gate_overview() -> dict[str, Any]:
+    return {
+        "pending_requests": list(_pending_requests.values()),
+        "decisions": list(_decisions.values()),
+        "pending_count": len(_pending_requests),
+        "approved_count": sum(1 for d in _decisions.values() if d.get("decision") == "approved"),
+        "rejected_count": sum(1 for d in _decisions.values() if d.get("decision") == "rejected"),
+    }

active-runtime/app/architecture_review_agent.py

@@ -0,0 +1,40 @@
+"""Independent architecture optimization agent."""
+
+from dataclasses import dataclass, asdict
+from datetime import datetime, timezone
+
+
+def utc_now():
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass(frozen=True)
+class ArchitectureReview:
+    agent: str
+    decision: str
+    findings: list[str]
+    created_at: str = utc_now()
+
+    def to_dict(self):
+        return asdict(self)
+
+
+class ArchitectureReviewAgent:
+    """Reviews architecture changes from system-wide optimal perspective."""
+
+    def review(self, proposal: dict) -> ArchitectureReview:
+        findings = [
+            "dependency_impact_checked",
+            "security_boundary_checked",
+            "scalability_checked",
+            "operability_checked",
+            "rollback_strategy_checked",
+        ]
+        return ArchitectureReview(
+            "architecture-optimization-agent",
+            "pass" if proposal.get("architecture_change") else "not_required",
+            findings,
+        )
+
+
+__all__ = ["ArchitectureReviewAgent", "ArchitectureReview"]

active-runtime/app/change_acceptance_governance.py

@@ -0,0 +1,103 @@
+"""Change acceptance governance for AIOS.
+
+Every feature change must provide matching tests. Every architecture change must
+be reviewed by an independent architecture agent. User-facing changes must be
+validated by an independent user acceptance agent.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass(frozen=True)
+class ChangeDescriptor:
+    change_id: str
+    change_type: str
+    title: str
+    files_changed: list[str]
+    tests: list[str] = field(default_factory=list)
+    user_facing: bool = False
+    architecture_impact: bool = False
+    risk: str = "low"
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class AcceptanceFinding:
+    check: str
+    status: str
+    detail: str
+    required: bool = True
+
+    def passed(self) -> bool:
+        return self.status == "pass" or not self.required
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class AcceptanceDecision:
+    status: str
+    findings: list[AcceptanceFinding]
+    decided_at: str = field(default_factory=utc_now)
+
+    def to_dict(self) -> dict[str, Any]:
+        return {
+            "status": self.status,
+            "findings": [f.to_dict() for f in self.findings],
+            "decided_at": self.decided_at,
+        }
+
+
+class ChangeAcceptanceGate:
+    def evaluate(self, change: ChangeDescriptor) -> AcceptanceDecision:
+        findings: list[AcceptanceFinding] = []
+        findings.append(self._tests_required(change))
+        findings.append(self._user_acceptance_required(change))
+        findings.append(self._architecture_review_required(change))
+        findings.append(self._risk_gate(change))
+        status = "pass" if all(f.passed() for f in findings) else "blocked"
+        return AcceptanceDecision(status, findings)
+
+    def _tests_required(self, change: ChangeDescriptor) -> AcceptanceFinding:
+        if change.tests:
+            return AcceptanceFinding("tests_present", "pass", "matching tests declared")
+        return AcceptanceFinding("tests_present", "fail", "every feature change requires tests")
+
+    def _user_acceptance_required(self, change: ChangeDescriptor) -> AcceptanceFinding:
+        if not change.user_facing:
+            return AcceptanceFinding("user_acceptance", "pass", "not user-facing")
+        has_user_test = any("user" in t.lower() or "acceptance" in t.lower() for t in change.tests)
+        return AcceptanceFinding(
+            "user_acceptance",
+            "pass" if has_user_test else "fail",
+            "user-facing change requires user acceptance test",
+        )
+
+    def _architecture_review_required(self, change: ChangeDescriptor) -> AcceptanceFinding:
+        if not change.architecture_impact:
+            return AcceptanceFinding("architecture_review", "pass", "no architecture impact")
+        has_arch_test = any("arch" in t.lower() or "architecture" in t.lower() for t in change.tests)
+        return AcceptanceFinding(
+            "architecture_review",
+            "pass" if has_arch_test else "fail",
+            "architecture change requires independent architect review artifact/test",
+        )
+
+    def _risk_gate(self, change: ChangeDescriptor) -> AcceptanceFinding:
+        if change.risk in {"low", "medium", "high"}:
+            return AcceptanceFinding("risk_classified", "pass", f"risk={change.risk}")
+        return AcceptanceFinding("risk_classified", "fail", "risk must be low/medium/high")
+
+
+__all__ = ["ChangeDescriptor", "AcceptanceFinding", "AcceptanceDecision", "ChangeAcceptanceGate"]

active-runtime/app/change_governance_api.py

@@ -0,0 +1,34 @@
+"""API for AIOS change governance dashboard."""
+
+from typing import Any
+
+try:
+    from fastapi import APIRouter
+except Exception:
+    APIRouter = None
+
+from .change_governance_dashboard import ChangeGovernanceDashboard
+
+
+dashboard = ChangeGovernanceDashboard()
+
+
+def get_change_governance_overview(changes: list[dict[str, Any]] | None = None):
+    return dashboard.overview(changes)
+
+
+def build_router():
+    if APIRouter is None:
+        return None
+    router = APIRouter(prefix="/admin/ai-evolution/governance", tags=["change-governance"])
+
+    @router.get("/overview", operation_id="getChangeGovernanceOverview")
+    def overview():
+        return get_change_governance_overview()
+
+    return router
+
+
+router = build_router()
+
+__all__ = ["router", "get_change_governance_overview"]

active-runtime/app/change_governance_dashboard.py

@@ -0,0 +1,93 @@
+"""Web UI dashboard model for AIOS change governance.
+
+Shows test gates, user acceptance, architecture review, risk gates and release
+blocking status for human operators and owner review.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass(frozen=True)
+class GovernanceMetric:
+    key: str
+    title: str
+    value: Any
+    status: str = "ok"
+    detail: str = ""
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class GovernancePanel:
+    key: str
+    title: str
+    metrics: list[GovernanceMetric] = field(default_factory=list)
+
+    def to_dict(self) -> dict[str, Any]:
+        return {
+            "key": self.key,
+            "title": self.title,
+            "metrics": [m.to_dict() for m in self.metrics],
+        }
+
+
+class ChangeGovernanceDashboard:
+    def overview(self, changes: list[dict[str, Any]] | None = None) -> dict[str, Any]:
+        changes = changes or []
+        blocked = [c for c in changes if c.get("status") == "blocked"]
+        waiting_arch = [c for c in changes if c.get("architecture_review") == "required"]
+        waiting_user = [c for c in changes if c.get("user_acceptance") == "required"]
+        missing_tests = [c for c in changes if not c.get("tests")]
+        panels = [
+            GovernancePanel(
+                "test_gate",
+                "测试 Gate",
+                [
+                    GovernanceMetric("total_changes", "变更总数", len(changes)),
+                    GovernanceMetric("missing_tests", "缺少测试的变更", len(missing_tests), "warn" if missing_tests else "ok"),
+                ],
+            ),
+            GovernancePanel(
+                "user_acceptance",
+                "用户验收 Agent",
+                [
+                    GovernanceMetric("waiting_user_acceptance", "等待用户验收", len(waiting_user), "warn" if waiting_user else "ok"),
+                ],
+            ),
+            GovernancePanel(
+                "architecture_review",
+                "架构师 Agent",
+                [
+                    GovernanceMetric("waiting_architecture_review", "等待架构审查", len(waiting_arch), "warn" if waiting_arch else "ok"),
+                ],
+            ),
+            GovernancePanel(
+                "release_gate",
+                "发布 Gate",
+                [
+                    GovernanceMetric("blocked_changes", "阻塞发布的变更", len(blocked), "warn" if blocked else "ok"),
+                ],
+            ),
+        ]
+        return {
+            "module": "change-governance",
+            "route": "/admin/ai-evolution/governance",
+            "title": "AIOS 变更治理中心",
+            "status": "attention_required" if blocked or missing_tests or waiting_arch or waiting_user else "healthy",
+            "generated_at": utc_now(),
+            "panels": [p.to_dict() for p in panels],
+            "changes": changes,
+        }
+
+
+__all__ = ["GovernanceMetric", "GovernancePanel", "ChangeGovernanceDashboard"]

active-runtime/app/git_repo_locator.py

@@ -0,0 +1,36 @@
+"""Git repository location resolver with validation.
+
+Prevents hard-coded repository names from silently pointing to stale paths.
+"""
+
+from __future__ import annotations
+
+import os
+from pathlib import Path
+
+
+class GitRepoLocator:
+    def __init__(self, root: str | None = None):
+        self.root = Path(root or os.getenv("AIOS_GITOPS_ROOT", "/data/aios-gitops/runtime/gitea-bin/data/repositories"))
+
+    def candidates(self, owner: str = "aios", names: tuple[str, ...] = ("aios.git", "aios-v23.git")):
+        return [self.root / owner / name for name in names]
+
+    def locate(self, owner: str = "aios") -> dict:
+        found = [str(path) for path in self.candidates(owner) if path.exists()]
+        return {
+            "root": str(self.root),
+            "owner": owner,
+            "found": found,
+            "healthy": len(found) == 1,
+            "warning": "multiple repositories found" if len(found) > 1 else None,
+        }
+
+    def require(self, owner: str = "aios") -> Path:
+        result = self.locate(owner)
+        if not result["healthy"]:
+            raise RuntimeError(f"Git repo resolution failed: {result}")
+        return Path(result["found"][0])
+
+
+__all__ = ["GitRepoLocator"]

active-runtime/app/governance_event_bridge.py

@@ -0,0 +1,148 @@
+"""Bridge governance agents into the unified Agent Event Bus.
+
+This module emits normalized governance events for requirement changes,
+architecture reviews, user acceptance, test gates and version decisions. It uses
+duck typing so it can work with the unified AgentEventBus when available, while
+remaining testable without a running bus.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any, Protocol
+from uuid import uuid4
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+class EventPublisher(Protocol):
+    def publish(
+        self,
+        kind: str,
+        source: str,
+        target: str,
+        summary: str,
+        payload: dict[str, Any],
+        correlation_id: str | None = None,
+    ) -> dict[str, Any]:
+        ...
+
+
+@dataclass(frozen=True)
+class GovernanceEventEnvelope:
+    id: str
+    kind: str
+    source: str
+    target: str
+    summary: str
+    payload: dict[str, Any]
+    correlation_id: str | None = None
+    created_at: str = field(default_factory=utc_now)
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+class InMemoryGovernanceEventBus:
+    """Small fallback bus for tests and offline governance runs."""
+
+    def __init__(self) -> None:
+        self.events: list[dict[str, Any]] = []
+
+    def publish(
+        self,
+        kind: str,
+        source: str,
+        target: str,
+        summary: str,
+        payload: dict[str, Any],
+        correlation_id: str | None = None,
+    ) -> dict[str, Any]:
+        event = GovernanceEventEnvelope(
+            id=f"evt_{uuid4().hex[:12]}",
+            kind=kind,
+            source=source,
+            target=target,
+            summary=summary,
+            payload=payload,
+            correlation_id=correlation_id,
+        ).to_dict()
+        self.events.append(event)
+        return event
+
+
+class GovernanceEventBridge:
+    """Publishes governance lifecycle events to the Agent Event Bus."""
+
+    def __init__(self, bus: EventPublisher | None = None):
+        self.bus = bus or InMemoryGovernanceEventBus()
+
+    def requirement_changed(self, requirement: dict[str, Any]) -> dict[str, Any]:
+        return self.bus.publish(
+            kind="requirement_changed",
+            source=requirement.get("source", "unknown"),
+            target="architect-agent",
+            summary=requirement.get("requirement", "requirement changed"),
+            payload=requirement,
+            correlation_id=requirement.get("id"),
+        )
+
+    def architecture_review_started(self, proposal: dict[str, Any]) -> dict[str, Any]:
+        return self.bus.publish(
+            kind="architecture_review_started",
+            source="architect-agent",
+            target="architecture-review-agent",
+            summary=proposal.get("title", "architecture review started"),
+            payload=proposal,
+            correlation_id=proposal.get("change_id"),
+        )
+
+    def architecture_review_completed(self, decision: dict[str, Any]) -> dict[str, Any]:
+        return self.bus.publish(
+            kind="architecture_review_completed",
+            source="architecture-review-agent",
+            target="change-governance",
+            summary=f"architecture review {decision.get('status', 'completed')}",
+            payload=decision,
+            correlation_id=decision.get("change_id"),
+        )
+
+    def user_acceptance_completed(self, report: dict[str, Any]) -> dict[str, Any]:
+        return self.bus.publish(
+            kind="user_acceptance_completed",
+            source="user-acceptance-agent",
+            target="change-governance",
+            summary=f"user acceptance {report.get('decision', 'completed')}",
+            payload=report,
+            correlation_id=report.get("change_id"),
+        )
+
+    def test_gate_completed(self, result: dict[str, Any]) -> dict[str, Any]:
+        return self.bus.publish(
+            kind="test_gate_completed",
+            source="test-gate",
+            target="change-governance",
+            summary=f"test gate {result.get('status', 'completed')}",
+            payload=result,
+            correlation_id=result.get("change_id"),
+        )
+
+    def version_decision_created(self, decision: dict[str, Any]) -> dict[str, Any]:
+        return self.bus.publish(
+            kind="version_decision_created",
+            source="architect-agent",
+            target="owner-gate",
+            summary=f"version bump recommendation: {decision.get('version_bump', 'unknown')}",
+            payload=decision,
+            correlation_id=decision.get("change_id"),
+        )
+
+
+__all__ = [
+    "GovernanceEventEnvelope",
+    "InMemoryGovernanceEventBus",
+    "GovernanceEventBridge",
+]

active-runtime/app/governance_timeline_api.py

@@ -0,0 +1,32 @@
+"""API for governance timeline visualization."""
+
+try:
+    from fastapi import APIRouter
+except Exception:
+    APIRouter = None
+
+from .governance_timeline_dashboard import GovernanceTimelineDashboard
+
+
+dashboard = GovernanceTimelineDashboard()
+
+
+def get_governance_timeline(events=None):
+    return dashboard.build(events)
+
+
+def build_router():
+    if APIRouter is None:
+        return None
+    router = APIRouter(prefix="/admin/ai-evolution/governance", tags=["governance-timeline"])
+
+    @router.get("/timeline", operation_id="getGovernanceTimeline")
+    def timeline():
+        return get_governance_timeline()
+
+    return router
+
+
+router = build_router()
+
+__all__ = ["router", "get_governance_timeline"]

active-runtime/app/governance_timeline_dashboard.py

@@ -0,0 +1,106 @@
+"""Governance timeline dashboard.
+
+Turns governance events into a human-readable flow for Web UI so operators can
+see why a change is blocked or ready for promotion.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+EVENT_ORDER = {
+    "requirement_changed": 10,
+    "architecture_review_started": 20,
+    "architecture_review_completed": 30,
+    "test_gate_completed": 40,
+    "user_acceptance_completed": 50,
+    "version_decision_created": 60,
+    "owner_gate_completed": 70,
+    "promotion_completed": 80,
+}
+
+
+@dataclass(frozen=True)
+class GovernanceTimelineStep:
+    id: str
+    kind: str
+    title: str
+    actor: str
+    status: str
+    timestamp: str
+    correlation_id: str | None = None
+    detail: dict[str, Any] = field(default_factory=dict)
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+class GovernanceTimelineDashboard:
+    def build(self, events: list[dict[str, Any]] | None = None) -> dict[str, Any]:
+        events = events or []
+        steps = [self._event_to_step(event) for event in events]
+        steps.sort(key=lambda step: (EVENT_ORDER.get(step.kind, 999), step.timestamp))
+        blockers = [step for step in steps if step.status in {"blocked", "fail", "attention_required"}]
+        return {
+            "module": "governance-timeline",
+            "route": "/admin/ai-evolution/governance/timeline",
+            "title": "治理事件时间线",
+            "status": "attention_required" if blockers else "healthy",
+            "generated_at": utc_now(),
+            "steps": [step.to_dict() for step in steps],
+            "blockers": [step.to_dict() for step in blockers],
+            "flow": self._flow_summary(steps),
+        }
+
+    def _event_to_step(self, event: dict[str, Any]) -> GovernanceTimelineStep:
+        payload = event.get("payload", {})
+        kind = event.get("kind", "unknown")
+        return GovernanceTimelineStep(
+            id=event.get("id", f"event-{len(str(event))}"),
+            kind=kind,
+            title=self._title(kind, payload),
+            actor=event.get("source", payload.get("actor", "unknown")),
+            status=payload.get("status") or payload.get("decision") or event.get("status", "ok"),
+            timestamp=event.get("created_at") or payload.get("created_at") or utc_now(),
+            correlation_id=event.get("correlation_id") or payload.get("change_id") or payload.get("id"),
+            detail=payload,
+        )
+
+    def _title(self, kind: str, payload: dict[str, Any]) -> str:
+        titles = {
+            "requirement_changed": "需求变化",
+            "architecture_review_started": "架构审查开始",
+            "architecture_review_completed": "架构审查完成",
+            "test_gate_completed": "测试 Gate 完成",
+            "user_acceptance_completed": "用户验收完成",
+            "version_decision_created": "版本建议产生",
+            "owner_gate_completed": "Owner Gate 完成",
+            "promotion_completed": "Promotion 完成",
+        }
+        return payload.get("title") or payload.get("summary") or titles.get(kind, kind)
+
+    def _flow_summary(self, steps: list[GovernanceTimelineStep]) -> dict[str, Any]:
+        present = {step.kind for step in steps}
+        required = [
+            "requirement_changed",
+            "architecture_review_completed",
+            "test_gate_completed",
+            "user_acceptance_completed",
+            "version_decision_created",
+        ]
+        missing = [kind for kind in required if kind not in present]
+        return {
+            "required_steps": required,
+            "missing_steps": missing,
+            "ready_for_owner_gate": not missing,
+        }
+
+
+__all__ = ["GovernanceTimelineStep", "GovernanceTimelineDashboard"]

active-runtime/app/independent_acceptance_agents.py

@@ -0,0 +1,59 @@
+"""Independent acceptance agents.
+
+Simulates independent roles: user representative and architecture reviewer.
+They provide acceptance evidence, not implementation decisions.
+"""
+
+from dataclasses import dataclass, asdict
+from datetime import datetime, timezone
+from typing import Any
+
+
+def utc_now():
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass(frozen=True)
+class AcceptanceReport:
+    agent: str
+    role: str
+    decision: str
+    evidence: list[str]
+    created_at: str = utc_now()
+
+    def to_dict(self):
+        return asdict(self)
+
+
+class UserAcceptanceAgent:
+    def review(self, change: dict[str, Any]) -> AcceptanceReport:
+        checks = [
+            "user_requirement_match",
+            "user_workflow_validation",
+            "permission_visibility_check",
+        ]
+        return AcceptanceReport(
+            "user-acceptance-agent",
+            "user_representative",
+            "pass" if change.get("user_facing") else "not_required",
+            checks,
+        )
+
+
+class ArchitectureAcceptanceAgent:
+    def review(self, change: dict[str, Any]) -> AcceptanceReport:
+        checks = [
+            "architecture_consistency",
+            "scalability_review",
+            "security_boundary_review",
+            "operability_review",
+        ]
+        return AcceptanceReport(
+            "architecture-review-agent",
+            "system_architect",
+            "pass" if change.get("architecture_impact") else "not_required",
+            checks,
+        )
+
+
+__all__ = ["AcceptanceReport", "UserAcceptanceAgent", "ArchitectureAcceptanceAgent"]

active-runtime/app/search_agent_adapter.py

@@ -0,0 +1,92 @@
+"""Agent adapters for AIOS Search Gateway.
+
+All runtime agents should call SearchGatewayAgentAdapter instead of performing
+ad-hoc network search. This gives consistent provider fallback, profile
+resolution, evidence capture, audit and event visibility.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from typing import Any
+
+from .search_gateway_orchestrator import SearchGatewayOrchestrator
+
+
+@dataclass(frozen=True)
+class AgentSearchContext:
+    agent: str
+    user_id: str | None = None
+    group_id: str | None = None
+    role: str = "user"
+    group_profile: dict[str, Any] | None = None
+    user_profile: dict[str, Any] | None = None
+    session_profile: dict[str, Any] | None = None
+    authorized_sources: list[str] = field(default_factory=list)
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+class SearchGatewayAgentAdapter:
+    def __init__(self, orchestrator: SearchGatewayOrchestrator | None = None):
+        self.orchestrator = orchestrator or SearchGatewayOrchestrator()
+
+    def search(
+        self,
+        query: str,
+        context: AgentSearchContext,
+        intent: str = "general",
+        region: str | None = None,
+        time_range: str | None = None,
+        data_type: str | None = None,
+        domain_profiles: list[str] | None = None,
+        user_scope: str = "public",
+        correlation_id: str | None = None,
+    ) -> dict[str, Any]:
+        payload = {
+            "query": query,
+            "requester": context.agent,
+            "intent": intent,
+            "region": region,
+            "time_range": time_range,
+            "data_type": data_type,
+            "domain_profiles": domain_profiles or [],
+            "user_scope": user_scope,
+            "authorized_sources": context.authorized_sources,
+            "group_profile": context.group_profile,
+            "user_profile": context.user_profile,
+            "session_profile": context.session_profile,
+            "correlation_id": correlation_id,
+        }
+        return self.orchestrator.execute(payload)
+
+
+class OpenClawSearchClient(SearchGatewayAgentAdapter):
+    def search_public(self, query: str, context: AgentSearchContext, **kwargs) -> dict[str, Any]:
+        return self.search(query, context, user_scope="public", **kwargs)
+
+
+class HermesSearchClient(SearchGatewayAgentAdapter):
+    def delegate_search(self, query: str, context: AgentSearchContext, **kwargs) -> dict[str, Any]:
+        return self.search(query, context, **kwargs)
+
+
+class CodexSearchClient(SearchGatewayAgentAdapter):
+    def technical_search(self, query: str, context: AgentSearchContext, **kwargs) -> dict[str, Any]:
+        return self.search(query, context, intent=kwargs.pop("intent", "software_library"), **kwargs)
+
+
+class CustomGPTSearchClient(SearchGatewayAgentAdapter):
+    def user_search(self, query: str, context: AgentSearchContext, **kwargs) -> dict[str, Any]:
+        return self.search(query, context, **kwargs)
+
+
+__all__ = [
+    "AgentSearchContext",
+    "SearchGatewayAgentAdapter",
+    "OpenClawSearchClient",
+    "HermesSearchClient",
+    "CodexSearchClient",
+    "CustomGPTSearchClient",
+]

active-runtime/app/search_architect_integration.py

@@ -0,0 +1,73 @@
+"""Architect governance integration for Search Gateway.
+
+Search Gateway is a shared platform capability. The Architect Agent periodically
+reviews provider health, external search/browser capabilities, cost, security and
+privacy impact, then emits C/R/V recommendations.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass(frozen=True)
+class SearchArchitectureFinding:
+    finding_id: str
+    title: str
+    impact: str
+    recommendation: str
+    evidence: list[str] = field(default_factory=list)
+    created_at: str = field(default_factory=utc_now)
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class SearchArchitectureDecision:
+    status: str
+    version_bump: str
+    reason: str
+    findings: list[SearchArchitectureFinding]
+    owner_gate_required: bool
+    created_at: str = field(default_factory=utc_now)
+
+    def to_dict(self) -> dict[str, Any]:
+        return {
+            "status": self.status,
+            "version_bump": self.version_bump,
+            "reason": self.reason,
+            "findings": [f.to_dict() for f in self.findings],
+            "owner_gate_required": self.owner_gate_required,
+            "created_at": self.created_at,
+        }
+
+
+class SearchArchitectIntegration:
+    def review(self, signals: dict[str, Any]) -> SearchArchitectureDecision:
+        findings: list[SearchArchitectureFinding] = []
+        if signals.get("provider_breaking_change"):
+            findings.append(SearchArchitectureFinding("search-provider-breaking", "Provider breaking change", "breaking", "owner_review"))
+        if signals.get("new_search_capability"):
+            findings.append(SearchArchitectureFinding("search-new-capability", "New search capability available", "architecture", "evaluate_adoption"))
+        if signals.get("cost_increase"):
+            findings.append(SearchArchitectureFinding("search-cost", "Search provider cost increase", "minor", "optimize_provider_order"))
+        if signals.get("security_advisory"):
+            findings.append(SearchArchitectureFinding("search-security", "Search security advisory", "breaking", "owner_review"))
+
+        if any(f.impact == "breaking" for f in findings):
+            return SearchArchitectureDecision("action_required", "V", "breaking search ecosystem/security change", findings, True)
+        if any(f.impact == "architecture" for f in findings):
+            return SearchArchitectureDecision("optimization_recommended", "R", "new search capability may improve architecture", findings, True)
+        if findings:
+            return SearchArchitectureDecision("minor_change_recommended", "C", "compatible provider optimization", findings, False)
+        return SearchArchitectureDecision("no_action", "none", "no relevant search architecture change", findings, False)
+
+
+__all__ = ["SearchArchitectureFinding", "SearchArchitectureDecision", "SearchArchitectIntegration"]

active-runtime/app/search_audit_store.py

@@ -0,0 +1,27 @@
+"""Audit storage for Search Gateway executions."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+from typing import Any
+
+
+class SearchAuditStore:
+    def __init__(self, root: str = "runtime/search-gateway/audit"):
+        self.root = Path(root)
+        self.root.mkdir(parents=True, exist_ok=True)
+
+    def append(self, record: dict[str, Any]) -> str:
+        path = self.root / f"{record.get('request_id', 'search')}.json"
+        path.write_text(json.dumps(record, ensure_ascii=False, indent=2), encoding="utf-8")
+        return str(path)
+
+    def list_recent(self) -> list[dict[str, Any]]:
+        result = []
+        for path in sorted(self.root.glob("*.json")):
+            result.append(json.loads(path.read_text(encoding="utf-8")))
+        return result[-50:]
+
+
+__all__ = ["SearchAuditStore"]

active-runtime/app/search_event_bridge.py

@@ -0,0 +1,118 @@
+"""Search Gateway event bridge.
+
+Publishes normalized search lifecycle events into the AIOS Agent Event Bus when a
+bus is available, with an in-memory fallback for tests and offline runs.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any, Protocol
+from uuid import uuid4
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+class SearchEventPublisher(Protocol):
+    def publish(
+        self,
+        kind: str,
+        source: str,
+        target: str,
+        summary: str,
+        payload: dict[str, Any],
+        correlation_id: str | None = None,
+    ) -> dict[str, Any]:
+        ...
+
+
+@dataclass(frozen=True)
+class SearchEvent:
+    id: str
+    kind: str
+    source: str
+    target: str
+    summary: str
+    payload: dict[str, Any]
+    correlation_id: str | None = None
+    created_at: str = field(default_factory=utc_now)
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+class InMemorySearchEventBus:
+    def __init__(self):
+        self.events: list[dict[str, Any]] = []
+
+    def publish(
+        self,
+        kind: str,
+        source: str,
+        target: str,
+        summary: str,
+        payload: dict[str, Any],
+        correlation_id: str | None = None,
+    ) -> dict[str, Any]:
+        event = SearchEvent(
+            id=f"search_evt_{uuid4().hex[:12]}",
+            kind=kind,
+            source=source,
+            target=target,
+            summary=summary,
+            payload=payload,
+            correlation_id=correlation_id,
+        ).to_dict()
+        self.events.append(event)
+        return event
+
+
+class SearchEventBridge:
+    def __init__(self, bus: SearchEventPublisher | None = None):
+        self.bus = bus or InMemorySearchEventBus()
+
+    def search_started(self, request: dict[str, Any]) -> dict[str, Any]:
+        return self.bus.publish(
+            kind="search_started",
+            source=request.get("requester", "unknown"),
+            target="search-gateway",
+            summary=request.get("query", "search started"),
+            payload=request,
+            correlation_id=request.get("correlation_id"),
+        )
+
+    def provider_attempted(self, request_id: str, attempt: dict[str, Any]) -> dict[str, Any]:
+        return self.bus.publish(
+            kind="search_provider_attempted",
+            source="search-gateway",
+            target=attempt.get("provider", "unknown"),
+            summary=f"provider {attempt.get('provider', 'unknown')} {attempt.get('status', 'attempted')}",
+            payload=attempt,
+            correlation_id=request_id,
+        )
+
+    def fallback_triggered(self, request_id: str, reason: str) -> dict[str, Any]:
+        return self.bus.publish(
+            kind="search_fallback_triggered",
+            source="search-gateway",
+            target="search-provider-router",
+            summary=reason,
+            payload={"reason": reason},
+            correlation_id=request_id,
+        )
+
+    def search_completed(self, response: dict[str, Any]) -> dict[str, Any]:
+        return self.bus.publish(
+            kind="search_completed",
+            source="search-gateway",
+            target=response.get("requester", "requester"),
+            summary=f"search {response.get('status', 'completed')}",
+            payload=response,
+            correlation_id=response.get("request_id"),
+        )
+
+
+__all__ = ["SearchEvent", "InMemorySearchEventBus", "SearchEventBridge"]

active-runtime/app/search_gateway.py

@@ -0,0 +1,252 @@
+"""Governed general-purpose Search Gateway for AIOS.
+
+The gateway coordinates query planning, provider routing, fallback, evidence
+normalization and compliance checks. It is provider-agnostic: runtime workers plug
+in public or explicitly authorized search providers.
+
+Search is a shared capability. Groups and users may customize provider order,
+trusted domains, query expansion hints and domain profiles, but customization may
+not override hard authorization, privacy, safety or audit rules.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any, Protocol
+from uuid import uuid4
+
+from .search_profile_resolver import DomainQueryProfileRegistry, SearchProfile, SearchProfileResolver
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass(frozen=True)
+class SearchRequest:
+    query: str
+    requester: str
+    intent: str = "general"
+    region: str | None = None
+    time_range: str | None = None
+    data_type: str | None = None
+    user_scope: str = "public"
+    authorized_sources: list[str] = field(default_factory=list)
+    domain_profiles: list[str] = field(default_factory=list)
+    group_profile: dict[str, Any] | None = None
+    user_profile: dict[str, Any] | None = None
+    session_profile: dict[str, Any] | None = None
+    correlation_id: str | None = None
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class SearchEvidence:
+    title: str
+    url: str | None
+    source: str
+    snippet: str
+    evidence_type: str = "web"
+    confidence: str = "medium"
+    retrieved_at: str = field(default_factory=utc_now)
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class SearchProviderAttempt:
+    provider: str
+    status: str
+    result_count: int = 0
+    reason: str = ""
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class SearchResponse:
+    request_id: str
+    status: str
+    answer: str
+    evidence: list[SearchEvidence]
+    attempts: list[SearchProviderAttempt]
+    confidence: str
+    expanded_queries: list[str] = field(default_factory=list)
+    resolved_profile: dict[str, Any] | None = None
+    need_clarification: list[str] = field(default_factory=list)
+    blocked_reasons: list[str] = field(default_factory=list)
+    created_at: str = field(default_factory=utc_now)
+
+    def to_dict(self) -> dict[str, Any]:
+        return {
+            "request_id": self.request_id,
+            "status": self.status,
+            "answer": self.answer,
+            "evidence": [e.to_dict() for e in self.evidence],
+            "attempts": [a.to_dict() for a in self.attempts],
+            "confidence": self.confidence,
+            "expanded_queries": self.expanded_queries,
+            "resolved_profile": self.resolved_profile,
+            "need_clarification": self.need_clarification,
+            "blocked_reasons": self.blocked_reasons,
+            "created_at": self.created_at,
+        }
+
+
+class SearchProvider(Protocol):
+    name: str
+
+    def search(self, request: SearchRequest, queries: list[str]) -> tuple[list[SearchEvidence], SearchProviderAttempt]:
+        ...
+
+
+class QueryPlanner:
+    def __init__(self, domain_registry: DomainQueryProfileRegistry | None = None):
+        self.domain_registry = domain_registry or DomainQueryProfileRegistry()
+
+    def expand(self, request: SearchRequest, profile: SearchProfile) -> list[str]:
+        base = request.query.strip()
+        queries = [base]
+        if request.region:
+            queries.append(f"{request.region} {base}")
+        if request.time_range:
+            queries.append(f"{base} {request.time_range}")
+        domain_profiles = list(dict.fromkeys([request.intent] + request.domain_profiles + profile.domain_profiles))
+        hints = list(profile.query_expansion_hints) + self.domain_registry.hints_for(domain_profiles)
+        for hint in hints:
+            queries.append(f"{base} {hint}")
+        for domain in profile.trusted_domains:
+            queries.append(f"site:{domain} {base}")
+        return list(dict.fromkeys([q for q in queries if q]))
+
+
+class SearchPolicyGuard:
+    """Blocks non-public or unauthorized collection patterns."""
+
+    FORBIDDEN_TERMS = (
+        "绕过登录",
+        "绕过验证码",
+        "验证码绕过",
+        "破解登录",
+        "个人成绩",
+        "学生隐私",
+        "受保护平台批量爬取",
+    )
+
+    def evaluate(self, request: SearchRequest, profile: SearchProfile) -> list[str]:
+        q = request.query.lower()
+        reasons: list[str] = []
+        for term in self.FORBIDDEN_TERMS:
+            if term.lower() in q:
+                reasons.append(f"blocked_term:{term}")
+        if request.user_scope not in {"public", "authorized_user_file", "authorized_link", "internal_archive"}:
+            reasons.append(f"unsupported_scope:{request.user_scope}")
+        if request.data_type in {"personal_grade", "student_private_data", "private_person_data"} and request.user_scope != "authorized_user_file":
+            reasons.append("private_data_requires_user_authorized_file")
+        if not profile.audit_required:
+            reasons.append("audit_cannot_be_disabled")
+        if not profile.fallback_required:
+            reasons.append("fallback_cannot_be_disabled")
+        return reasons
+
+
+class SearchGateway:
+    def __init__(self, providers: list[SearchProvider] | None = None):
+        self.providers = providers or []
+        self.profile_resolver = SearchProfileResolver()
+        self.planner = QueryPlanner()
+        self.guard = SearchPolicyGuard()
+
+    def search(self, request: SearchRequest) -> SearchResponse:
+        request_id = request.correlation_id or f"search_{uuid4().hex[:12]}"
+        profile = self.profile_resolver.resolve(request.group_profile, request.user_profile, request.session_profile)
+        expanded_queries = self.planner.expand(request, profile)
+        blocked = self.guard.evaluate(request, profile)
+        if blocked:
+            return SearchResponse(
+                request_id=request_id,
+                status="blocked",
+                answer="该搜索请求涉及未授权访问、验证码/登录绕过、受保护平台批量抓取或个人隐私数据，已阻断。可改为搜索公开网页、官方公告、公开文档，或处理用户授权上传的文件/链接。",
+                evidence=[],
+                attempts=[],
+                confidence="high",
+                expanded_queries=expanded_queries,
+                resolved_profile=profile.to_dict(),
+                blocked_reasons=blocked,
+            )
+
+        evidence: list[SearchEvidence] = []
+        attempts: list[SearchProviderAttempt] = []
+        providers = self._ordered_providers(profile)
+        for provider in providers:
+            try:
+                provider_evidence, attempt = provider.search(request, expanded_queries)
+                evidence.extend(provider_evidence)
+                attempts.append(attempt)
+                if provider_evidence:
+                    break
+            except Exception as exc:
+                attempts.append(SearchProviderAttempt(provider=getattr(provider, "name", "unknown"), status="failed", reason=str(exc)))
+
+        if evidence:
+            return SearchResponse(
+                request_id=request_id,
+                status="found",
+                answer="已找到公开或授权来源结果。",
+                evidence=evidence,
+                attempts=attempts,
+                confidence=self._confidence(evidence),
+                expanded_queries=expanded_queries,
+                resolved_profile=profile.to_dict(),
+            )
+
+        return SearchResponse(
+            request_id=request_id,
+            status="not_found",
+            answer="未找到足够可靠的公开或授权结果；已记录 provider 尝试和失败原因。",
+            evidence=[],
+            attempts=attempts,
+            confidence="low",
+            expanded_queries=expanded_queries,
+            resolved_profile=profile.to_dict(),
+            need_clarification=self._clarification(request),
+        )
+
+    def _ordered_providers(self, profile: SearchProfile) -> list[SearchProvider]:
+        if not self.providers:
+            return []
+        by_name = {provider.name: provider for provider in self.providers}
+        ordered = [by_name[name] for name in profile.provider_order if name in by_name]
+        remaining = [provider for provider in self.providers if provider.name not in {p.name for p in ordered}]
+        return ordered + remaining
+
+    def _confidence(self, evidence: list[SearchEvidence]) -> str:
+        if any(e.confidence == "high" for e in evidence):
+            return "high"
+        if evidence:
+            return "medium"
+        return "low"
+
+    def _clarification(self, request: SearchRequest) -> list[str]:
+        if request.intent == "education_exam_data":
+            return ["请补充学校名称、联考名称、年级、科目，以及需要试卷/答案还是成绩统计。"]
+        if request.intent in {"company_research", "policy_regulation", "software_library", "product_research"}:
+            return ["请补充主体名称、地区/版本、时间范围、需要的数据类型或可信来源范围。"]
+        return ["请补充更具体的主体、平台、地区、时间、数据类型或授权文件/链接。"]
+
+
+__all__ = [
+    "SearchRequest",
+    "SearchEvidence",
+    "SearchProviderAttempt",
+    "SearchResponse",
+    "SearchProvider",
+    "QueryPlanner",
+    "SearchPolicyGuard",
+    "SearchGateway",
+]

active-runtime/app/search_gateway_api.py

@@ -0,0 +1,65 @@
+"""API endpoints for AIOS Search Gateway."""
+
+from typing import Any
+
+try:
+    from fastapi import APIRouter
+except Exception:
+    APIRouter = None
+
+from .search_gateway import SearchGateway, SearchRequest
+from .search_gateway_dashboard import SearchGatewayDashboard
+
+
+gateway = SearchGateway()
+dashboard = SearchGatewayDashboard()
+
+
+def search_gateway_request(payload: dict[str, Any]) -> dict[str, Any]:
+    request = SearchRequest(**payload)
+    return gateway.search(request).to_dict()
+
+
+def get_search_gateway_status() -> dict[str, Any]:
+    return {
+        "module": "search-gateway",
+        "status": "ready",
+        "providers_configured": len(gateway.providers),
+        "policy_guard": "enabled",
+        "profile_customization": "enabled",
+        "fallback_required_when_provider_unavailable": True,
+    }
+
+
+def get_search_gateway_overview() -> dict[str, Any]:
+    return dashboard.overview()
+
+
+def build_router():
+    if APIRouter is None:
+        return None
+    router = APIRouter(prefix="/admin/ai-evolution/search", tags=["search-gateway"])
+
+    @router.get("/status", operation_id="getSearchGatewayStatus")
+    def status():
+        return get_search_gateway_status()
+
+    @router.get("/overview", operation_id="getSearchGatewayOverview")
+    def overview():
+        return get_search_gateway_overview()
+
+    @router.post("/query", operation_id="runSearchGatewayQuery")
+    def query(payload: dict[str, Any]):
+        return search_gateway_request(payload)
+
+    return router
+
+
+router = build_router()
+
+__all__ = [
+    "router",
+    "search_gateway_request",
+    "get_search_gateway_status",
+    "get_search_gateway_overview",
+]

active-runtime/app/search_gateway_dashboard.py

@@ -0,0 +1,85 @@
+"""Search Gateway Web UI dashboard model."""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass(frozen=True)
+class SearchDashboardMetric:
+    key: str
+    title: str
+    value: Any
+    status: str = "ok"
+    detail: str = ""
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class SearchDashboardPanel:
+    key: str
+    title: str
+    metrics: list[SearchDashboardMetric] = field(default_factory=list)
+
+    def to_dict(self) -> dict[str, Any]:
+        return {
+            "key": self.key,
+            "title": self.title,
+            "metrics": [m.to_dict() for m in self.metrics],
+        }
+
+
+class SearchGatewayDashboard:
+    def overview(self, search_runs: list[dict[str, Any]] | None = None, providers: list[dict[str, Any]] | None = None) -> dict[str, Any]:
+        search_runs = search_runs or []
+        providers = providers or []
+        blocked = [r for r in search_runs if r.get("status") == "blocked"]
+        not_found = [r for r in search_runs if r.get("status") == "not_found"]
+        provider_failures = [p for p in providers if p.get("status") == "failed"]
+        panels = [
+            SearchDashboardPanel(
+                "search_health",
+                "搜索健康度",
+                [
+                    SearchDashboardMetric("total_runs", "搜索请求数", len(search_runs)),
+                    SearchDashboardMetric("not_found", "未找到结果", len(not_found), "warn" if not_found else "ok"),
+                    SearchDashboardMetric("blocked", "合规阻断", len(blocked), "warn" if blocked else "ok"),
+                ],
+            ),
+            SearchDashboardPanel(
+                "provider_health",
+                "Provider 可用性",
+                [
+                    SearchDashboardMetric("providers", "Provider 数量", len(providers)),
+                    SearchDashboardMetric("provider_failures", "Provider 失败", len(provider_failures), "warn" if provider_failures else "ok"),
+                ],
+            ),
+            SearchDashboardPanel(
+                "evidence_quality",
+                "证据质量",
+                [
+                    SearchDashboardMetric("with_evidence", "有证据的回答", len([r for r in search_runs if r.get("evidence")])) ,
+                    SearchDashboardMetric("fallback_required", "要求多源降级", True),
+                ],
+            ),
+        ]
+        return {
+            "module": "search-gateway",
+            "route": "/admin/ai-evolution/search",
+            "title": "AIOS 联网搜索治理中心",
+            "status": "attention_required" if provider_failures else "healthy",
+            "generated_at": utc_now(),
+            "panels": [p.to_dict() for p in panels],
+            "recent_runs": search_runs[-20:],
+        }
+
+
+__all__ = ["SearchDashboardMetric", "SearchDashboardPanel", "SearchGatewayDashboard"]

active-runtime/app/search_gateway_orchestrator.py

@@ -0,0 +1,41 @@
+"""Runtime orchestrator joining Search Gateway, registry, audit and events."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from .search_audit_store import SearchAuditStore
+from .search_event_bridge import SearchEventBridge
+from .search_gateway import SearchGateway, SearchRequest
+from .search_provider_registry import SearchProviderRegistry
+
+
+class SearchGatewayOrchestrator:
+    def __init__(self):
+        self.registry = SearchProviderRegistry()
+        self.audit = SearchAuditStore()
+        self.events = SearchEventBridge()
+        self.gateway = SearchGateway(self.registry.ordered())
+
+    def execute(self, payload: dict[str, Any]) -> dict[str, Any]:
+        request = SearchRequest(**payload)
+        self.events.search_started(request.to_dict())
+        response = self.gateway.search(request)
+        result = response.to_dict()
+        for attempt in result.get("attempts", []):
+            self.events.provider_attempted(result["request_id"], attempt)
+        if len(result.get("attempts", [])) > 1:
+            self.events.fallback_triggered(result["request_id"], "multiple providers attempted")
+        self.audit.append(result)
+        self.events.search_completed(result)
+        return result
+
+    def status(self) -> dict[str, Any]:
+        return {
+            "registry": self.registry.status(),
+            "audit": "enabled",
+            "events": "enabled",
+        }
+
+
+__all__ = ["SearchGatewayOrchestrator"]

active-runtime/app/search_profile_resolver.py

@@ -0,0 +1,124 @@
+"""Search profile resolver for general-purpose AIOS Search Gateway.
+
+The Search Gateway is a shared platform capability. Groups and users may customize
+provider preference, query expansion hints, trusted sources and domain profiles on
+top of the shared base profile. Customization is intentionally layered and cannot
+override hard safety, authorization or audit rules.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from typing import Any
+
+
+HARD_BLOCKED_BEHAVIORS = {
+    "bypass_login",
+    "bypass_captcha",
+    "scrape_private_student_grades",
+    "scrape_student_private_data",
+    "bulk_scrape_protected_platforms",
+    "collect_data_without_authorization",
+}
+
+
+@dataclass(frozen=True)
+class SearchProfile:
+    profile_id: str
+    scope: str
+    provider_order: list[str] = field(default_factory=lambda: [
+        "cache",
+        "official_site",
+        "general_web",
+        "vertical_source",
+        "browser_fetch",
+        "user_authorized_file",
+        "internal_archive",
+    ])
+    trusted_domains: list[str] = field(default_factory=list)
+    query_expansion_hints: list[str] = field(default_factory=list)
+    domain_profiles: list[str] = field(default_factory=list)
+    blocked_behaviors: set[str] = field(default_factory=lambda: set(HARD_BLOCKED_BEHAVIORS))
+    audit_required: bool = True
+    fallback_required: bool = True
+
+    def to_dict(self) -> dict[str, Any]:
+        data = asdict(self)
+        data["blocked_behaviors"] = sorted(self.blocked_behaviors)
+        return data
+
+
+class SearchProfileResolver:
+    """Resolves base -> group -> user -> session search preferences."""
+
+    def base_profile(self) -> SearchProfile:
+        return SearchProfile(profile_id="base", scope="global")
+
+    def resolve(
+        self,
+        group_profile: dict[str, Any] | None = None,
+        user_profile: dict[str, Any] | None = None,
+        session_profile: dict[str, Any] | None = None,
+    ) -> SearchProfile:
+        profile = self.base_profile().to_dict()
+        for overlay in (group_profile, user_profile, session_profile):
+            if overlay:
+                profile = self._merge(profile, overlay)
+        profile["blocked_behaviors"] = set(HARD_BLOCKED_BEHAVIORS)
+        profile["audit_required"] = True
+        profile["fallback_required"] = True
+        return SearchProfile(**profile)
+
+    def _merge(self, base: dict[str, Any], overlay: dict[str, Any]) -> dict[str, Any]:
+        merged = dict(base)
+        if overlay.get("provider_order"):
+            merged["provider_order"] = list(overlay["provider_order"])
+        for list_key in ("trusted_domains", "query_expansion_hints", "domain_profiles"):
+            merged[list_key] = self._dedupe(list(merged.get(list_key, [])) + list(overlay.get(list_key, [])))
+        merged["profile_id"] = overlay.get("profile_id", merged.get("profile_id", "custom"))
+        merged["scope"] = overlay.get("scope", merged.get("scope", "custom"))
+        return merged
+
+    def _dedupe(self, items: list[str]) -> list[str]:
+        return list(dict.fromkeys([item for item in items if item]))
+
+
+class DomainQueryProfileRegistry:
+    """Optional domain-specific expansions for the general Search Gateway."""
+
+    DEFAULT_PROFILES = {
+        "education_exam_data": [
+            "学校 年级 科目 试卷 答案 成绩统计",
+            "联考 月考 期中 期末 质量检测",
+        ],
+        "policy_regulation": [
+            "官方 通知 政策 解读 实施细则",
+            "site:gov.cn OR site:edu.cn",
+        ],
+        "software_library": [
+            "release notes changelog migration guide",
+            "official documentation GitHub issues",
+        ],
+        "product_research": [
+            "specs review comparison price availability",
+            "official page manual support",
+        ],
+        "company_research": [
+            "official announcement press release filings",
+            "leadership product financial report",
+        ],
+    }
+
+    def hints_for(self, domain_profiles: list[str]) -> list[str]:
+        hints: list[str] = []
+        for profile in domain_profiles:
+            hints.extend(self.DEFAULT_PROFILES.get(profile, []))
+        return list(dict.fromkeys(hints))
+
+
+__all__ = [
+    "HARD_BLOCKED_BEHAVIORS",
+    "SearchProfile",
+    "SearchProfileResolver",
+    "DomainQueryProfileRegistry",
+]

active-runtime/app/search_provider_registry.py

@@ -0,0 +1,121 @@
+"""Provider registry for the general AIOS Search Gateway.
+
+The registry makes provider availability explicit and auditable. Provider
+implementations are pluggable: production can register real public search,
+official-site, vertical-source, browser-fetch, authorized-file or archive
+providers without changing the Search Gateway core.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from typing import Any
+
+from .search_gateway import SearchEvidence, SearchProviderAttempt, SearchRequest
+
+
+@dataclass(frozen=True)
+class SearchProviderConfig:
+    name: str
+    provider_type: str
+    enabled: bool = True
+    requires_secret: bool = False
+    supports_public_web: bool = True
+    supports_authorized_sources: bool = False
+    health: str = "unknown"
+    metadata: dict[str, Any] = field(default_factory=dict)
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+class NullSearchProvider:
+    """Safe placeholder provider used until runtime wires a real adapter."""
+
+    def __init__(self, config: SearchProviderConfig):
+        self.config = config
+        self.name = config.name
+
+    def search(self, request: SearchRequest, queries: list[str]):
+        return [], SearchProviderAttempt(
+            provider=self.name,
+            status="not_configured" if self.config.enabled else "disabled",
+            result_count=0,
+            reason="provider adapter not wired in runtime",
+        )
+
+
+class StaticArchiveProvider:
+    """Small deterministic provider for tests and internal archived evidence."""
+
+    name = "internal_archive"
+
+    def __init__(self, records: list[dict[str, Any]] | None = None):
+        self.records = records or []
+
+    def search(self, request: SearchRequest, queries: list[str]):
+        evidence: list[SearchEvidence] = []
+        for record in self.records:
+            haystack = " ".join([record.get("title", ""), record.get("snippet", ""), record.get("tags", "")]).lower()
+            if any(q.lower() in haystack for q in queries):
+                evidence.append(
+                    SearchEvidence(
+                        title=record.get("title", "archive result"),
+                        url=record.get("url"),
+                        source=self.name,
+                        snippet=record.get("snippet", ""),
+                        evidence_type="internal_archive",
+                        confidence=record.get("confidence", "medium"),
+                    )
+                )
+        return evidence, SearchProviderAttempt(provider=self.name, status="ok", result_count=len(evidence))
+
+
+class SearchProviderRegistry:
+    DEFAULT_PROVIDER_CONFIGS = [
+        SearchProviderConfig("cache", "cache", supports_public_web=False),
+        SearchProviderConfig("official_site", "official_site"),
+        SearchProviderConfig("general_web", "general_web"),
+        SearchProviderConfig("vertical_source", "vertical_source"),
+        SearchProviderConfig("browser_fetch", "browser_fetch"),
+        SearchProviderConfig("user_authorized_file", "authorized_file", supports_public_web=False, supports_authorized_sources=True),
+        SearchProviderConfig("internal_archive", "archive", supports_public_web=False),
+    ]
+
+    def __init__(self):
+        self.configs: dict[str, SearchProviderConfig] = {}
+        self.providers: dict[str, Any] = {}
+        for config in self.DEFAULT_PROVIDER_CONFIGS:
+            self.register_config(config)
+
+    def register_config(self, config: SearchProviderConfig) -> None:
+        self.configs[config.name] = config
+        self.providers.setdefault(config.name, NullSearchProvider(config))
+
+    def register_provider(self, name: str, provider: Any, config: SearchProviderConfig | None = None) -> None:
+        if config:
+            self.configs[name] = config
+        elif name not in self.configs:
+            self.configs[name] = SearchProviderConfig(name=name, provider_type="custom")
+        self.providers[name] = provider
+
+    def ordered(self, order: list[str] | None = None) -> list[Any]:
+        order = order or list(self.configs)
+        result = [self.providers[name] for name in order if name in self.providers and self.configs[name].enabled]
+        result.extend([provider for name, provider in self.providers.items() if name not in order and self.configs[name].enabled])
+        return result
+
+    def status(self) -> dict[str, Any]:
+        return {
+            "providers": [self.configs[name].to_dict() for name in sorted(self.configs)],
+            "enabled": len([c for c in self.configs.values() if c.enabled]),
+            "configured": len([name for name, provider in self.providers.items() if not isinstance(provider, NullSearchProvider)]),
+        }
+
+
+__all__ = [
+    "SearchProviderConfig",
+    "NullSearchProvider",
+    "StaticArchiveProvider",
+    "SearchProviderRegistry",
+]

active-runtime/app/static/admin-ai-evolution.html

@@ -0,0 +1,265 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<title>AI Evolution Dashboard</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, sans-serif; background: #0d1117; color: #c9d1d9; height: 100vh; overflow: hidden; }
+.app { display: flex; height: 100vh; }
+.sidebar { width: 260px; background: #161b22; border-right: 1px solid #30363d; padding: 20px; display: flex; flex-direction: column; gap: 16px; }
+.sidebar h1 { font-size: 18px; color: #f0f6fc; border-bottom: 1px solid #30363d; padding-bottom: 12px; margin-bottom: 8px; }
+.sidebar-nav { list-style: none; display: flex; flex-direction: column; gap: 4px; }
+.sidebar-nav li { padding: 8px 12px; border-radius: 6px; cursor: pointer; font-size: 14px; color: #8b949e; }
+.sidebar-nav li:hover, .sidebar-nav li.active { background: #1f6feb22; color: #58a6ff; }
+.sidebar-nav li i { margin-right: 8px; }
+.main { flex: 1; padding: 24px; overflow-y: auto; }
+.main-header { display: flex; justify-content: space-between; align-items: center; margin-bottom: 24px; }
+.main-header h2 { font-size: 20px; }
+.status-badge { padding: 4px 12px; border-radius: 12px; font-size: 12px; font-weight: 600; text-transform: uppercase; }
+.status-badge.ok { background: #1b3a2d; color: #3fb950; border: 1px solid #3fb95044; }
+.status-badge.degraded { background: #3a2e1b; color: #d29922; border: 1px solid #d2992244; }
+.status-badge.fail { background: #3a1b1b; color: #f85149; border: 1px solid #f8514944; }
+.card { background: #161b22; border: 1px solid #30363d; border-radius: 8px; padding: 16px; margin-bottom: 16px; }
+.card-title { font-size: 14px; color: #8b949e; margin-bottom: 8px; }
+.card-value { font-size: 28px; font-weight: 700; color: #f0f6fc; }
+.row { display: flex; gap: 16px; }
+.col { flex: 1; }
+.grid { display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 16px; }
+pre { white-space: pre-wrap; word-break: break-word; }
+.command-item { padding: 12px; margin-bottom: 8px; border-radius: 6px; background: #0d1117; border: 1px solid #21262d; }
+.command-item .meta { display: flex; gap: 8px; align-items: center; font-size: 12px; color: #8b949e; }
+.command-item .name { font-size: 14px; color: #58a6ff; font-weight: 600; }
+.command-item .state { font-size: 11px; padding: 2px 8px; border-radius: 10px; text-transform: uppercase; }
+.state-active { background: #1b3a2d; color: #3fb950; }
+.state-running { background: #3a2e1b; color: #d29922; }
+.state-completed { background: #1b3a2d; color: #3fb950; }
+.state-failed { background: #3a1b1b; color: #f85149; }
+.loading { text-align: center; padding: 40px; color: #8b949e; }
+.error { padding: 20px; background: #3a1b1b; border: 1px solid #f8514944; border-radius: 8px; color: #f85149; margin-bottom: 16px; }
+.version-item { padding: 8px 12px; background: #0d1117; border: 1px solid #21262d; border-radius: 6px; margin-bottom: 4px; display: flex; justify-content: space-between; }
+.version-item .tag { color: #58a6ff; font-weight: 600; }
+.version-item .name { color: #8b949e; font-size: 13px; }
+.agent-item { background: #0d1117; border: 1px solid #21262d; border-radius: 6px; margin-bottom: 8px; padding: 12px; }
+.agent-item .agent-title { font-size: 14px; font-weight: 600; color: #c9d1d9; margin-bottom: 4px; }
+.agent-item .agent-meta { font-size: 12px; color: #8b949e; }
+.agent-run-item { padding: 8px 12px; margin-bottom: 4px; border-radius: 4px; background: #0d1117; border: 1px solid #21262d; display: flex; justify-content: space-between; align-items: center; }
+.agent-run-item .run-id { color: #58a6ff; font-size: 13px; font-weight: 600; }
+.agent-run-item .source { color: #8b949e; font-size: 12px; }
+</style>
+</head>
+<body>
+<div id="app" class="app">
+  <div class="sidebar">
+    <h1>🕹️ AI Evolution Dashboard</h1>
+    <ul class="sidebar-nav">
+      <li class="active" onclick="showPanel('overview')"><i>📊</i> Overview</li>
+      <li onclick="showPanel('versions')"><i>🏷️</i> Versions</li>
+      <li onclick="showPanel('commands')"><i>⚡</i> Commands</li>
+      <li onclick="showPanel('agents')"><i>🤖</i> Agent Runs</li>
+      <li onclick="showPanel('arch-owner')"><i>🔐</i> Owner Gate</li>
+      <li onclick="showPanel('arch-approve')"><i>✓</i> Approve Changes</li>
+    </ul>
+  </div>
+  <div class="main">
+    <div id="panel-overview" class="panel">
+      <div class="main-header">
+        <h2>System Overview</h2>
+        <div id="header-status" class="status-badge">Loading...</div>
+      </div>
+      <div id="loading" class="loading">Loading...</div>
+      <div id="error" class="error" style="display:none;"></div>
+      <div id="content">
+        <div class="row">
+          <div class="col"><div class="card"><div class="card-title">Current Baseline</div><div id="base" class="card-value">-</div></div></div>
+          <div class="col"><div class="card"><div class="card-title">Git Branch</div><div id="branch" class="card-value">-</div></div></div>
+          <div class="col"><div class="card"><div class="card-title">Uptime</div><div id="uptime" class="card-value">-</div></div></div>
+        </div>
+        <div class="card" style="margin-top:16px">
+          <div class="card-title">Event Bus Status</div>
+          <pre id="bus-status">-</pre>
+        </div>
+      </div>
+    </div>
+    <div id="panel-versions" class="panel" style="display:none;">
+      <div class="main-header"><h2>Version Timeline</h2></div>
+      <div id="versions-list">Loading...</div>
+    </div>
+    <div id="panel-commands" class="panel" style="display:none;">
+      <div class="main-header"><h2>Command Lookup</h2></div>
+      <div id="commands-list">Loading...</div>
+    </div>
+    <div id="panel-agents" class="panel" style="display:none;">
+      <div class="main-header"><h2>Recent Agent Executions</h2></div>
+    <div id="panel-arch-owner" class="panel" style="display:none;">
+      <div class="main-header"><h2>🔐 Architecture Owner Gate</h2></div>
+      <div id="arch-owner-content">Loading...</div>
+    </div>
+    <div id="panel-arch-approve" class="panel" style="display:none;">
+      <div class="main-header"><h2>✓ Approve Architecture Changes</h2></div>
+      <div id="arch-approve-content">Loading...</div>
+    </div>
+      <div id="agents-list">Loading...</div>
+    </div>
+  </div>
+</div>
+<script>
+async function fetchData() {
+  const r = await fetch('/admin/ai-evolution/api/data');
+  const data = await r.json();
+  document.getElementById('loading').style.display = 'none';
+  document.getElementById('error').style.display = 'none';
+  document.getElementById('content').style.display = '';
+
+  const hs = document.getElementById('header-status');
+  hs.className = 'status-badge ' + (data.healthy ? 'ok' : 'fail');
+  hs.textContent = data.healthy ? '▪ operational' : '⚠ degraded';
+
+  document.getElementById('base').textContent = data.baseline || '-';
+  document.getElementById('branch').textContent = data.main_branch || 'main';
+  document.getElementById('uptime').textContent = data.uptime || '-';
+  document.getElementById('bus-status').textContent = data.bus ? JSON.stringify(data.bus, null, 2) : 'no event bus data';
+}
+
+async function loadVersions() {
+  const el = document.getElementById('versions-list');
+  el.innerHTML = '<div class="loading">Loading versions...</div>';
+  try {
+    const r = await fetch('/admin/ai-evolution/api/versions');
+    const data = await r.json();
+    if (data.error) { el.innerHTML = '<div class="error">' + data.error + '</div>'; return; }
+    let html = '<div class="grid">';
+    for (const v of data.versions || []) {
+      html += '<div class="card"><div class="card-title">' + v.tag + '</div><div class="card-value">' + (v.version || v.tag) + '</div></div>';
+    }
+    html += '</div>';
+    el.innerHTML = html;
+  } catch(e) {
+    el.innerHTML = '<div class="error">Failed to load versions: ' + e.message + '</div>';
+  }
+}
+
+async function loadCommands() {
+  const el = document.getElementById('commands-list');
+  el.innerHTML = '<div class="loading">Loading commands...</div>';
+  try {
+    const r = await fetch('/admin/ai-evolution/api/data');
+    const data = await r.json();
+    let cmds = data.commands || [];
+    let html = '<div style="display:flex;gap:24px;margin-bottom:16px;">';
+    html += '<div><div class="card"><div class="card-title">Total</div><div class="card-value">' + cmds.length + '</div></div></div>';
+    html += '<div><div class="card"><div class="card-title">By Category</div>';
+    const cats = {};
+    for (const c of cmds) { const k = c.category || 'uncategorized'; cats[k] = (cats[k] || 0) + 1; }
+    for (const [k, v] of Object.entries(cats)) html += '<div style="font-size:14px;color:#8b949e;margin:4px 0;">' + k + ': ' + v + '</div>';
+    html += '</div></div></div>';
+    for (const cmd of cmds.slice().reverse()) {
+      html += '<div class="command-item"><div class="meta">' + cmd.category + ' | ' + cmd.filename + '</div><div class="name">' + cmd.title + '</div><div style="font-size:13px;color:#c9d1d9;margin-top:4px;">' + cmd.summary + '</div></div>';
+    }
+    el.innerHTML = html;
+  } catch(e) {
+    el.innerHTML = '<div class="error">Failed to load commands: ' + e.message + '</div>';
+  }
+}
+
+async function loadAgents() {
+  const el = document.getElementById('agents-list');
+  el.innerHTML = '<div class="loading">Loading agent runs...</div>';
+  try {
+    const r = await fetch('/admin/ai-evolution/api/agents');
+    const data = await r.json();
+    if (data.error) { el.innerHTML = '<div class="error">' + data.error + '</div>'; return; }
+    let html = '';
+    for (const agent of data.agents || []) {
+      html += '<div class="agent-item"><div class="agent-title">' + agent.name + ' <span class="state state-' + (agent.status === 'running' ? 'running' : (agent.status === 'ok' ? 'completed' : 'failed')) + '">' + agent.status + '</span></div><div class="agent-meta">' + (agent.runs || 0) + ' runs | last: ' + (agent.last_run || '-') + '</div></div>';
+    }
+    el.innerHTML = html || '<div style="padding:24px;color:#8b949e;">No agent runs recorded yet.</div>';
+  } catch(e) {
+    el.innerHTML = '<div class="error">Failed to load agents: ' + e.message + '</div>';
+  }
+}
+
+function showPanel(name) {
+
+async function loadOwnerGate() {
+  const el = document.getElementById('arch-owner-content');
+  el.innerHTML = '<div class="loading">Loading owner gate data...</div>';
+  try {
+    const r = await fetch('/admin/ai-evolution/api/owner-gate');
+    const data = await r.json();
+    let html = '<div class="row">';
+    html += '<div class="col"><div class="card"><div class="card-title">Pending Requests</div><div class="card-value">' + data.pending_count + '</div></div></div>';
+    html += '<div class="col"><div class="card"><div class="card-title">Approved</div><div class="card-value">' + data.approved_count + '</div></div></div>';
+    html += '<div class="col"><div class="card"><div class="card-title">Rejected</div><div class="card-value">' + data.rejected_count + '</div></div></div>';
+    html += '</div>';
+    html += '<div class="card"><div class="card-title">Pending Approval Requests</div>';
+    if (data.pending_requests && data.pending_requests.length) {
+      for (const req of data.pending_requests) {
+        html += '<div class="command-item">';
+        html += '<div class="name">' + (req.title || req.change_id) + '</div>';
+        html += '<div class="meta">ID: ' + req.change_id + ' | Risk: ' + req.risk + '</div>';
+        html += '<div style="font-size:13px;color:#c9d1d9;margin-top:4px;">' + (req.reason || '') + '</div>';
+        html += '</div>';
+      }
+    } else {
+      html += '<div style="color:#8b949e;padding:12px;">No pending requests.</div>';
+    }
+    html += '</div>';
+    el.innerHTML = html;
+  } catch(e) {
+    el.innerHTML = '<div class="error">Failed to load: ' + e.message + '</div>';
+  }
+}
+
+async function loadApprove() {
+  const el = document.getElementById('arch-approve-content');
+  el.innerHTML = '<div class="loading">Loading pending approvals...</div>';
+  try {
+    const r = await fetch('/admin/ai-evolution/api/owner-gate');
+    const data = await r.json();
+    let html = '';
+    if (data.pending_requests && data.pending_requests.length) {
+      html += '<div class="card"><div class="card-title">Pending changes requiring your approval</div>';
+      for (const req of data.pending_requests) {
+        html += '<div class="command-item">';
+        html += '<div class="name">' + (req.title || req.change_id) + '</div>';
+        html += '<div class="meta">Risk: <strong>' + req.risk + '</strong></div>';
+        html += '<div style="font-size:13px;color:#c9d1d9;margin:8px 0;">' + (req.reason || '') + '</div>';
+        html += '<div style="display:flex;gap:8px;">';
+        html += '<button onclick="ownerAction.classList.add('\'approved\');this.disabled=true" style="padding:6px 16px;background:#238636;color:#fff;border:none;border-radius:6px;cursor:pointer;font-size:13px;">✓ Approve</button>';
+        html += '</div></div>';
+      }
+      html += '</div>';
+    } else {
+      html += '<div class="card"><div style="padding:24px;text-align:center;color:#8b949e;">✅ All changes processed. No pending approval requests.</div></div>';
+    }
+    el.innerHTML = html;
+  } catch(e) {
+    el.innerHTML = '<div class="error">Failed to load: ' + e.message + '</div>';
+  }
+}
+
+  document.querySelectorAll('.panel').forEach(p => p.style.display = 'none');
+  document.getElementById('panel-' + name).style.display = '';
+  document.querySelectorAll('.sidebar-nav li').forEach(li => li.classList.remove('active'));
+  document.querySelector('.sidebar-nav li:nth-child(' + ({overview:1,versions:2,commands:3,agents:4}[name] || 1) + ')').classList.add('active');
+  if (name === 'overview') {
+    document.getElementById('panel-overview').innerHTML = '<div class="main-header"><h2>System Overview</h2><div id="header-status" class="status-badge">Loading...</div></div><div id="loading" class="loading">Loading...</div><div id="error" class="error" style="display:none;"></div><div id="content"><div class="row"><div class="col"><div class="card"><div class="card-title">Current Baseline</div><div id="base" class="card-value">-</div></div></div><div class="col"><div class="card"><div class="card-title">Git Branch</div><div id="branch" class="card-value">-</div></div></div><div class="col"><div class="card"><div class="card-title">Uptime</div><div id="uptime" class="card-value">-</div></div></div></div><div class="card" style="margin-top:16px"><div class="card-title">Event Bus Status</div><pre id="bus-status">-</pre></div></div>';
+    fetchData();
+  }
+  const loaders = {
+    'arch-owner': loadOwnerGate,
+    'arch-approve': loadApprove,
+    versions: loadVersions,
+    commands: loadCommands,
+    agents: loadAgents,
+  };
+  const fn = loaders[name];
+  if (fn) fn();
+}
+
+fetchData();
+</script>
+</body>
+</html>

active-runtime/app/task_action_api.py

@@ -0,0 +1,41 @@
+"""Task Center action API model for Web UI buttons."""
+
+from typing import Any
+
+try:
+    from fastapi import APIRouter
+except Exception:
+    APIRouter = None
+
+from .task_lifecycle import TaskLifecycle
+
+
+lifecycle = TaskLifecycle()
+
+
+def get_task_actions(task: dict[str, Any], role: str) -> dict[str, Any]:
+    return {
+        "task_id": task.get("task_id"),
+        "actions": lifecycle.available_actions(task, role),
+    }
+
+
+def execute_task_action(task: dict[str, Any], action: str, role: str, reason: str | None = None):
+    return lifecycle.transition(task, action, role, reason)
+
+
+def build_router():
+    if APIRouter is None:
+        return None
+    router = APIRouter(prefix="/admin/ai-evolution/tasks", tags=["task-actions"])
+
+    @router.post("/{task_id}/actions/{action}", operation_id="executeTaskAction")
+    def action(task_id: str, action: str, payload: dict[str, Any]):
+        return execute_task_action(payload.get("task", {}), action, payload.get("role", "user"), payload.get("reason"))
+
+    return router
+
+
+router = build_router()
+
+__all__ = ["router", "get_task_actions", "execute_task_action"]

active-runtime/app/task_center.py

@@ -0,0 +1,115 @@
+"""AIOS Task Center domain model.
+
+The Task Center gives owners and authorized users a single Web UI page showing:
+who assigned a task, who is executing it, progress, elapsed time, remaining
+work, and whether completion notifications were sent.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+def parse_time(value: str | None) -> datetime | None:
+    if not value:
+        return None
+    return datetime.fromisoformat(value.replace("Z", "+00:00"))
+
+
+@dataclass(frozen=True)
+class TaskNotificationStatus:
+    required: bool = True
+    sent: bool = False
+    channel: str | None = None
+    sent_at: str | None = None
+    recipient_scope: str | None = None
+    last_error: str | None = None
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class TaskProgress:
+    percent: int = 0
+    current_step: str = "pending"
+    completed_steps: list[str] = field(default_factory=list)
+    remaining_steps: list[str] = field(default_factory=list)
+    blocked_reason: str | None = None
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+@dataclass(frozen=True)
+class AIOSTaskRecord:
+    task_id: str
+    title: str
+    assigned_by: str
+    executor: str
+    source: str
+    status: str = "pending"
+    priority: str = "normal"
+    created_at: str = field(default_factory=utc_now)
+    started_at: str | None = None
+    updated_at: str = field(default_factory=utc_now)
+    completed_at: str | None = None
+    progress: TaskProgress = field(default_factory=TaskProgress)
+    notification: TaskNotificationStatus = field(default_factory=TaskNotificationStatus)
+    owner_gate_required: bool = False
+    owner_gate_status: str | None = None
+    evidence: list[str] = field(default_factory=list)
+
+    def elapsed_seconds(self) -> int:
+        start = parse_time(self.started_at) or parse_time(self.created_at)
+        end = parse_time(self.completed_at) or datetime.now(timezone.utc)
+        return int((end - start).total_seconds()) if start else 0
+
+    def to_dict(self) -> dict[str, Any]:
+        data = asdict(self)
+        data["elapsed_seconds"] = self.elapsed_seconds()
+        data["progress"] = self.progress.to_dict()
+        data["notification"] = self.notification.to_dict()
+        return data
+
+
+class TaskCenter:
+    def summarize(self, tasks: list[AIOSTaskRecord] | list[dict[str, Any]] | None = None) -> dict[str, Any]:
+        raw_tasks = tasks or []
+        task_dicts = [t.to_dict() if hasattr(t, "to_dict") else dict(t) for t in raw_tasks]
+        active = [t for t in task_dicts if t.get("status") in {"running", "pending", "blocked"}]
+        blocked = [t for t in task_dicts if t.get("status") == "blocked"]
+        completed = [t for t in task_dicts if t.get("status") == "completed"]
+        notification_pending = [
+            t for t in completed
+            if t.get("notification", {}).get("required") and not t.get("notification", {}).get("sent")
+        ]
+        return {
+            "module": "task-center",
+            "route": "/admin/ai-evolution/tasks",
+            "title": "AIOS 任务中心",
+            "status": "attention_required" if blocked or notification_pending else "healthy",
+            "generated_at": utc_now(),
+            "summary": {
+                "total": len(task_dicts),
+                "active": len(active),
+                "blocked": len(blocked),
+                "completed": len(completed),
+                "notification_pending": len(notification_pending),
+            },
+            "tasks": sorted(task_dicts, key=lambda t: t.get("updated_at", ""), reverse=True),
+        }
+
+
+__all__ = [
+    "TaskNotificationStatus",
+    "TaskProgress",
+    "AIOSTaskRecord",
+    "TaskCenter",
+]

active-runtime/app/task_center_api.py

@@ -0,0 +1,34 @@
+"""Task Center API."""
+
+from typing import Any
+
+try:
+    from fastapi import APIRouter
+except Exception:
+    APIRouter = None
+
+from .task_center import TaskCenter
+
+
+task_center = TaskCenter()
+
+
+def get_task_overview(tasks: list[dict[str, Any]] | None = None):
+    return task_center.summarize(tasks)
+
+
+def build_router():
+    if APIRouter is None:
+        return None
+    router = APIRouter(prefix="/admin/ai-evolution/tasks", tags=["task-center"])
+
+    @router.get("/overview", operation_id="getTaskCenterOverview")
+    def overview():
+        return get_task_overview()
+
+    return router
+
+
+router = build_router()
+
+__all__ = ["router", "get_task_overview"]

active-runtime/app/task_dashboard_view.py

@@ -0,0 +1,81 @@
+"""Task Center visualization model."""
+
+from __future__ import annotations
+
+from typing import Any
+
+
+class TaskDashboardView:
+    def build(self, tasks: list[dict[str, Any]] | None = None) -> dict[str, Any]:
+        tasks = tasks or []
+        return {
+            "module": "task-center",
+            "route": "/admin/ai-evolution/tasks",
+            "title": "AIOS Task Center",
+            "views": {
+                "kanban": self._kanban(tasks),
+                "timeline": self._timeline(tasks),
+                "flow": self._flow(tasks),
+                "statistics": self._statistics(tasks),
+            },
+            "tasks": [self._task_card(task) for task in tasks],
+        }
+
+    def _task_card(self, task: dict[str, Any]) -> dict[str, Any]:
+        return {
+            "task_id": task.get("task_id"),
+            "title": task.get("title"),
+            "assigned_by": task.get("assigned_by"),
+            "executor": task.get("executor"),
+            "status": task.get("status"),
+            "progress": task.get("progress", {}),
+            "elapsed_seconds": task.get("elapsed_seconds", 0),
+            "remaining_steps": task.get("progress", {}).get("remaining_steps", []),
+            "notification": task.get("notification", {}),
+            "actions": [
+                "start",
+                "update_progress",
+                "block",
+                "request_approval",
+                "approve",
+                "reject",
+                "retry",
+                "complete",
+                "notify",
+                "close",
+            ],
+        }
+
+    def _kanban(self, tasks):
+        columns = {"pending": [], "running": [], "blocked": [], "waiting_approval": [], "completed": []}
+        for task in tasks:
+            columns.setdefault(task.get("status", "pending"), []).append(task.get("task_id"))
+        return columns
+
+    def _timeline(self, tasks):
+        return [
+            {
+                "task_id": task.get("task_id"),
+                "updated_at": task.get("updated_at"),
+                "status": task.get("status"),
+            }
+            for task in tasks
+        ]
+
+    def _flow(self, tasks):
+        return {
+            "nodes": ["created", "assigned", "running", "blocked", "approval", "completed", "closed"],
+            "task_count": len(tasks),
+        }
+
+    def _statistics(self, tasks):
+        return {
+            "total": len(tasks),
+            "running": len([t for t in tasks if t.get("status") == "running"]),
+            "blocked": len([t for t in tasks if t.get("status") == "blocked"]),
+            "waiting_approval": len([t for t in tasks if t.get("status") == "waiting_approval"]),
+            "completed": len([t for t in tasks if t.get("status") == "completed"]),
+        }
+
+
+__all__ = ["TaskDashboardView"]

active-runtime/app/task_event_bridge.py

@@ -0,0 +1,129 @@
+"""Task Center event bridge.
+
+Converts task lifecycle actions and agent execution events into normalized AIOS
+Task Center events. Uses duck-typed Agent Event Bus publisher when available and
+an in-memory fallback for tests/offline runs.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any, Protocol
+from uuid import uuid4
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+class TaskEventPublisher(Protocol):
+    def publish(
+        self,
+        kind: str,
+        source: str,
+        target: str,
+        summary: str,
+        payload: dict[str, Any],
+        correlation_id: str | None = None,
+    ) -> dict[str, Any]:
+        ...
+
+
+@dataclass(frozen=True)
+class TaskEvent:
+    id: str
+    kind: str
+    source: str
+    target: str
+    summary: str
+    payload: dict[str, Any]
+    correlation_id: str | None = None
+    created_at: str = field(default_factory=utc_now)
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+class InMemoryTaskEventBus:
+    def __init__(self):
+        self.events: list[dict[str, Any]] = []
+
+    def publish(
+        self,
+        kind: str,
+        source: str,
+        target: str,
+        summary: str,
+        payload: dict[str, Any],
+        correlation_id: str | None = None,
+    ) -> dict[str, Any]:
+        event = TaskEvent(
+            id=f"task_evt_{uuid4().hex[:12]}",
+            kind=kind,
+            source=source,
+            target=target,
+            summary=summary,
+            payload=payload,
+            correlation_id=correlation_id,
+        ).to_dict()
+        self.events.append(event)
+        return event
+
+
+class TaskEventBridge:
+    def __init__(self, bus: TaskEventPublisher | None = None):
+        self.bus = bus or InMemoryTaskEventBus()
+
+    def task_created(self, task: dict[str, Any]) -> dict[str, Any]:
+        return self.bus.publish(
+            kind="task_created",
+            source=task.get("assigned_by", "unknown"),
+            target=task.get("executor", "task-center"),
+            summary=task.get("title", "task created"),
+            payload=task,
+            correlation_id=task.get("task_id"),
+        )
+
+    def task_updated(self, task: dict[str, Any], action: str) -> dict[str, Any]:
+        return self.bus.publish(
+            kind="task_updated",
+            source=task.get("executor", "task-center"),
+            target="task-center",
+            summary=f"task {action}: {task.get('status')}",
+            payload={"action": action, "task": task},
+            correlation_id=task.get("task_id"),
+        )
+
+    def task_blocked(self, task: dict[str, Any], reason: str) -> dict[str, Any]:
+        return self.bus.publish(
+            kind="task_blocked",
+            source=task.get("executor", "unknown"),
+            target="owner-gate",
+            summary=reason,
+            payload={"task": task, "reason": reason},
+            correlation_id=task.get("task_id"),
+        )
+
+    def approval_requested(self, task: dict[str, Any], reason: str) -> dict[str, Any]:
+        return self.bus.publish(
+            kind="task_approval_requested",
+            source=task.get("executor", "unknown"),
+            target="owner-gate",
+            summary=reason,
+            payload={"task": task, "reason": reason},
+            correlation_id=task.get("task_id"),
+        )
+
+    def notification_sent(self, task: dict[str, Any], channel: str) -> dict[str, Any]:
+        return self.bus.publish(
+            kind="task_notification_sent",
+            source="notification-agent",
+            target=task.get("assigned_by", "owner"),
+            summary=f"notification sent via {channel}",
+            payload={"task": task, "channel": channel},
+            correlation_id=task.get("task_id"),
+        )
+
+
+__all__ = ["TaskEvent", "InMemoryTaskEventBus", "TaskEventBridge"]

active-runtime/app/task_lifecycle.py

@@ -0,0 +1,147 @@
+"""AIOS Task Lifecycle.
+
+Defines a governed task state machine for task creation, assignment, execution,
+blocking, approval, retry, completion, notification and closure.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from typing import Any
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+TERMINAL_STATES = {"completed", "cancelled", "failed", "closed"}
+
+
+@dataclass(frozen=True)
+class TaskTransition:
+    action: str
+    from_states: set[str]
+    to_state: str
+    required_role: str = "agent"
+    requires_reason: bool = False
+    notify: bool = False
+
+    def to_dict(self) -> dict[str, Any]:
+        data = asdict(self)
+        data["from_states"] = sorted(self.from_states)
+        return data
+
+
+class TaskLifecycle:
+    """Central task state machine."""
+
+    TRANSITIONS = {
+        "assign": TaskTransition("assign", {"new", "pending"}, "assigned", "dispatcher"),
+        "start": TaskTransition("start", {"assigned", "pending"}, "running", "executor"),
+        "update_progress": TaskTransition("update_progress", {"running"}, "running", "executor"),
+        "block": TaskTransition("block", {"running", "assigned", "pending"}, "blocked", "executor", requires_reason=True, notify=True),
+        "request_approval": TaskTransition("request_approval", {"running", "blocked"}, "waiting_approval", "executor", requires_reason=True, notify=True),
+        "approve": TaskTransition("approve", {"waiting_approval"}, "approved", "owner", notify=True),
+        "reject": TaskTransition("reject", {"waiting_approval"}, "rejected", "owner", requires_reason=True, notify=True),
+        "resume": TaskTransition("resume", {"blocked", "approved"}, "running", "executor"),
+        "retry": TaskTransition("retry", {"failed", "blocked"}, "running", "executor", notify=True),
+        "complete": TaskTransition("complete", {"running", "approved"}, "completed", "executor", notify=True),
+        "notify": TaskTransition("notify", {"completed"}, "completed", "notifier"),
+        "close": TaskTransition("close", {"completed", "cancelled", "failed"}, "closed", "owner"),
+        "cancel": TaskTransition("cancel", {"new", "pending", "assigned", "running", "blocked", "waiting_approval"}, "cancelled", "owner", requires_reason=True, notify=True),
+        "fail": TaskTransition("fail", {"running", "assigned"}, "failed", "executor", requires_reason=True, notify=True),
+    }
+
+    ROLE_ORDER = {
+        "user": 1,
+        "agent": 2,
+        "executor": 3,
+        "dispatcher": 4,
+        "notifier": 4,
+        "group_admin": 5,
+        "owner": 9,
+    }
+
+    def available_actions(self, task: dict[str, Any], role: str) -> list[dict[str, Any]]:
+        state = task.get("status", "new")
+        actions = []
+        for name, transition in self.TRANSITIONS.items():
+            allowed_state = state in transition.from_states
+            allowed_role = self._role_allows(role, transition.required_role)
+            actions.append({
+                "action": name,
+                "label": self._label(name),
+                "enabled": allowed_state and allowed_role,
+                "from_state": state,
+                "to_state": transition.to_state,
+                "required_role": transition.required_role,
+                "requires_reason": transition.requires_reason,
+                "notify": transition.notify,
+                "disabled_reason": None if allowed_state and allowed_role else self._disabled_reason(allowed_state, allowed_role, transition),
+            })
+        return actions
+
+    def transition(self, task: dict[str, Any], action: str, actor_role: str, reason: str | None = None) -> dict[str, Any]:
+        if action not in self.TRANSITIONS:
+            raise ValueError(f"unknown task action: {action}")
+        transition = self.TRANSITIONS[action]
+        state = task.get("status", "new")
+        if state not in transition.from_states:
+            raise ValueError(f"action {action} not allowed from state {state}")
+        if not self._role_allows(actor_role, transition.required_role):
+            raise PermissionError(f"role {actor_role} cannot execute {action}; requires {transition.required_role}")
+        if transition.requires_reason and not reason:
+            raise ValueError(f"action {action} requires reason")
+        updated = dict(task)
+        updated["status"] = transition.to_state
+        updated["updated_at"] = utc_now()
+        history = list(updated.get("history", []))
+        history.append({
+            "action": action,
+            "from": state,
+            "to": transition.to_state,
+            "actor_role": actor_role,
+            "reason": reason,
+            "ts": utc_now(),
+        })
+        updated["history"] = history
+        if action == "complete":
+            updated["completed_at"] = utc_now()
+            notification = dict(updated.get("notification", {}))
+            notification.setdefault("required", True)
+            notification.setdefault("sent", False)
+            updated["notification"] = notification
+        return updated
+
+    def _role_allows(self, role: str, required: str) -> bool:
+        return self.ROLE_ORDER.get(role, 0) >= self.ROLE_ORDER.get(required, 0)
+
+    def _label(self, action: str) -> str:
+        labels = {
+            "assign": "分配任务",
+            "start": "开始执行",
+            "update_progress": "更新进度",
+            "block": "标记阻塞",
+            "request_approval": "请求审批",
+            "approve": "批准",
+            "reject": "拒绝",
+            "resume": "继续执行",
+            "retry": "重试",
+            "complete": "标记完成",
+            "notify": "发送通知",
+            "close": "关闭任务",
+            "cancel": "取消任务",
+            "fail": "标记失败",
+        }
+        return labels.get(action, action)
+
+    def _disabled_reason(self, allowed_state: bool, allowed_role: bool, transition: TaskTransition) -> str:
+        if not allowed_state:
+            return "当前状态不允许该操作"
+        if not allowed_role:
+            return f"需要角色: {transition.required_role}"
+        return "不可用"
+
+
+__all__ = ["TaskTransition", "TaskLifecycle", "TERMINAL_STATES"]

active-runtime/app/task_orchestrator.py

@@ -0,0 +1,50 @@
+"""Task Center orchestrator.
+
+Coordinates task ingestion, persistence, lifecycle updates, events and statistics.
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+from .task_event_bridge import TaskEventBridge
+from .task_source_ingestor import TaskSourceIngestor
+from .task_statistics import TaskStatistics
+from .task_store import TaskStore
+
+
+class TaskOrchestrator:
+    def __init__(self):
+        self.ingestor = TaskSourceIngestor()
+        self.store = TaskStore()
+        self.events = TaskEventBridge()
+        self.statistics = TaskStatistics()
+
+    def create_from_command(self, path: str, bucket: str = "active") -> dict[str, Any]:
+        task = self.ingestor.command_file_to_task(path, bucket)
+        self.store.append(task)
+        self.events.task_created(task)
+        return task
+
+    def create_from_agent_execution(self, record: dict[str, Any]) -> dict[str, Any]:
+        task = self.ingestor.agent_execution_to_task(record)
+        self.store.append(task)
+        self.events.task_created(task)
+        return task
+
+    def sync_event(self, event: dict[str, Any]) -> dict[str, Any] | None:
+        task = self.ingestor.event_to_task(event)
+        if task:
+            self.store.append(task)
+            self.events.task_updated(task, event.get("kind", "event"))
+        return task
+
+    def dashboard(self) -> dict[str, Any]:
+        tasks = self.store.latest()
+        return {
+            "tasks": tasks,
+            "statistics": self.statistics.summarize(tasks),
+        }
+
+
+__all__ = ["TaskOrchestrator"]

active-runtime/app/task_source_ingestor.py

@@ -0,0 +1,159 @@
+"""Task source ingestion for AIOS Task Center.
+
+Converts Command Watcher files, OpenClaw/Hermes/Codex execution records and
+Generic Agent Event Bus records into normalized Task Center task dictionaries.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any
+
+
+def utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+@dataclass(frozen=True)
+class TaskSourceRecord:
+    source_type: str
+    source_id: str
+    title: str
+    assigned_by: str
+    executor: str
+    status: str
+    priority: str = "normal"
+    created_at: str = field(default_factory=utc_now)
+    updated_at: str = field(default_factory=utc_now)
+    evidence: list[str] = field(default_factory=list)
+    metadata: dict[str, Any] = field(default_factory=dict)
+
+    def to_task(self) -> dict[str, Any]:
+        return {
+            "task_id": f"task-{self.source_type}-{self.source_id}",
+            "title": self.title,
+            "assigned_by": self.assigned_by,
+            "executor": self.executor,
+            "source": self.source_type,
+            "status": self.status,
+            "priority": self.priority,
+            "created_at": self.created_at,
+            "updated_at": self.updated_at,
+            "progress": {
+                "percent": self._progress_percent(),
+                "current_step": self.status,
+                "completed_steps": [],
+                "remaining_steps": [],
+                "blocked_reason": self.metadata.get("blocked_reason"),
+            },
+            "notification": {
+                "required": True,
+                "sent": bool(self.metadata.get("notification_sent")),
+                "channel": self.metadata.get("notification_channel"),
+                "sent_at": self.metadata.get("notification_sent_at"),
+            },
+            "evidence": self.evidence,
+            "metadata": self.metadata,
+        }
+
+    def _progress_percent(self) -> int:
+        mapping = {
+            "new": 0,
+            "pending": 5,
+            "assigned": 15,
+            "running": 50,
+            "blocked": 50,
+            "waiting_approval": 60,
+            "approved": 70,
+            "completed": 100,
+            "closed": 100,
+            "failed": 100,
+            "cancelled": 100,
+        }
+        return mapping.get(self.status, 0)
+
+
+class TaskSourceIngestor:
+    COMMAND_STATUS_MAP = {
+        "active": "pending",
+        "running": "running",
+        "completed": "completed",
+        "failed": "failed",
+        "archive": "closed",
+    }
+
+    def command_file_to_task(self, path: str, bucket: str = "active") -> dict[str, Any]:
+        p = Path(path)
+        title = p.stem
+        return TaskSourceRecord(
+            source_type="command_watcher",
+            source_id=title,
+            title=title,
+            assigned_by="command-watcher",
+            executor=self._infer_executor(title),
+            status=self.COMMAND_STATUS_MAP.get(bucket, "pending"),
+            priority="high" if "P0" in title or "fix" in title.lower() else "normal",
+            evidence=[str(p)],
+            metadata={"bucket": bucket},
+        ).to_task()
+
+    def agent_execution_to_task(self, record: dict[str, Any]) -> dict[str, Any]:
+        source_id = record.get("execution_id", record.get("id", "unknown"))
+        status = record.get("status", "running")
+        return TaskSourceRecord(
+            source_type="agent_execution",
+            source_id=source_id,
+            title=record.get("title", f"Agent execution {source_id}"),
+            assigned_by=record.get("assigned_by", record.get("entry_agent", "agent-system")),
+            executor=record.get("closed_by", record.get("entry_agent", "unknown-agent")),
+            status=status,
+            priority=record.get("priority", "normal"),
+            created_at=record.get("started_at", utc_now()),
+            updated_at=record.get("ended_at", utc_now()),
+            evidence=[record.get("execution_id", source_id)],
+            metadata=record,
+        ).to_task()
+
+    def event_to_task(self, event: dict[str, Any]) -> dict[str, Any] | None:
+        kind = event.get("kind")
+        payload = event.get("payload", {})
+        if kind not in {"task_created", "task_updated", "agent_started", "agent_completed", "agent_failed", "search_started", "search_completed"}:
+            return None
+        source_id = event.get("correlation_id") or event.get("id", "event")
+        status = self._status_from_event(kind, payload)
+        return TaskSourceRecord(
+            source_type="event_bus",
+            source_id=source_id,
+            title=payload.get("title") or event.get("summary", kind),
+            assigned_by=event.get("source", "event-bus"),
+            executor=event.get("target", "task-center"),
+            status=status,
+            created_at=event.get("created_at", utc_now()),
+            updated_at=event.get("created_at", utc_now()),
+            evidence=[event.get("id", source_id)],
+            metadata={"event_kind": kind, "payload": payload},
+        ).to_task()
+
+    def _status_from_event(self, kind: str, payload: dict[str, Any]) -> str:
+        if kind.endswith("completed"):
+            return "completed"
+        if kind.endswith("failed"):
+            return "failed"
+        return payload.get("status", "running")
+
+    def _infer_executor(self, title: str) -> str:
+        lower = title.lower()
+        if "openclaw" in lower:
+            return "openclaw"
+        if "hermes" in lower:
+            return "hermes"
+        if "codex" in lower:
+            return "codex"
+        if "search" in lower:
+            return "openclaw"
+        return "openclaw"
+
+
+__all__ = ["TaskSourceRecord", "TaskSourceIngestor"]

active-runtime/app/task_statistics.py

@@ -0,0 +1,33 @@
+"""Task Center statistics."""
+
+from typing import Any
+
+
+class TaskStatistics:
+    def summarize(self, tasks: list[dict[str, Any]] | None = None) -> dict[str, Any]:
+        tasks = tasks or []
+        completed = [t for t in tasks if t.get("status") == "completed"]
+        blocked = [t for t in tasks if t.get("status") == "blocked"]
+        waiting = [t for t in tasks if t.get("status") == "waiting_approval"]
+        elapsed = [t.get("elapsed_seconds", 0) for t in tasks if t.get("elapsed_seconds") is not None]
+        return {
+            "total": len(tasks),
+            "completed": len(completed),
+            "blocked": len(blocked),
+            "waiting_approval": len(waiting),
+            "completion_rate": round(len(completed) / len(tasks) * 100, 2) if tasks else 0,
+            "average_elapsed_seconds": round(sum(elapsed) / len(elapsed), 2) if elapsed else 0,
+            "top_blockers": self._top_values(blocked, "blocker"),
+            "executor_distribution": self._top_values(tasks, "executor"),
+        }
+
+    def _top_values(self, tasks: list[dict[str, Any]], key: str):
+        result: dict[str, int] = {}
+        for task in tasks:
+            value = task.get(key)
+            if value:
+                result[value] = result.get(value, 0) + 1
+        return result
+
+
+__all__ = ["TaskStatistics"]

active-runtime/app/task_store.py

@@ -0,0 +1,29 @@
+"""Persistent Task Center store."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+from typing import Any
+
+
+class TaskStore:
+    def __init__(self, root: str = "runtime/task-center"):
+        self.root = Path(root)
+        self.root.mkdir(parents=True, exist_ok=True)
+        self.path = self.root / "tasks.jsonl"
+
+    def append(self, task: dict[str, Any]) -> None:
+        with self.path.open("a", encoding="utf-8") as f:
+            f.write(json.dumps(task, ensure_ascii=False) + "\n")
+
+    def list_all(self) -> list[dict[str, Any]]:
+        if not self.path.exists():
+            return []
+        return [json.loads(line) for line in self.path.read_text(encoding="utf-8").splitlines() if line]
+
+    def latest(self) -> list[dict[str, Any]]:
+        return self.list_all()[-100:]
+
+
+__all__ = ["TaskStore"]

agent-instructions/README.md

@@ -0,0 +1,29 @@
+# Agent Instruction Center
+
+Version-controlled execution instructions for AIOS agents.
+
+## Supported agents
+
+- codex
+- openclaw
+- hermes
+- windows_codex_app
+- custom_gpt_review
+
+## Workflow
+
+1. Create versioned instruction file.
+2. Target agent executes instruction.
+3. Result is recorded with GitOps audit information.
+
+## Naming
+
+agent-instructions/<agent>/<instruction-name>-v<version>.md
+
+## Rules
+
+- GitOps managed only.
+- Patch-first workflow.
+- No secrets, tokens, passwords or credentials.
+- Production changes require approval.
+- Main branch changes require approval.

agent-instructions/TEMPLATE.md

@@ -0,0 +1,34 @@
+# Agent Execution Instruction
+
+Instruction ID:
+Version:
+Target Agent:
+
+## Objective
+
+
+## Context
+
+
+## Execution Steps
+
+
+## Constraints
+
+- GitOps only
+- Patch-first
+- No secrets
+- No force push
+- Production changes require approval
+
+## Validation
+
+
+## Return Format
+
+Status:
+Branch:
+Commit:
+Rev:
+Sync Status:
+Issues:

agent-instructions/codex/.gitkeep

@@ -0,0 +1 @@
+# Placeholder for versioned Codex instructions.

agent-instructions/codex/fix-patches-artifact-lifecycle-v1.md

@@ -0,0 +1,65 @@
+# Codex Fix Patches Artifact Lifecycle Instruction
+
+Instruction ID: fix-patches-artifact-lifecycle-v1
+Version: v1
+Target Agent: codex
+
+## Objective
+
+Manage the lifecycle of artifacts in the `patches/` directory — specifically, clean up stale or committed artifacts (`.branch.json`, `nl/*.json`, standalone `.json` patch files) that are no longer needed.
+
+## Background
+
+The ChatGPT Actions API writes several types of artifacts into `patches/`:
+
+1. **Branch metadata** (`patches/patch_*.branch.json`) — created when the `branch()` action writes ahead. These are summary records of created branches.
+2. **Patch files** (`patches/*.json`, top level) — created when the `patch()` action saves a JSON patch proposal. Example: `patches/self-evolution-agent-orchestration-policy.json`.
+3. **Natural language plan files** (`patches/nl/nl-*.json`) — created when `nl()` action records a natural-language plan. These are transient planning artifacts.
+
+None of these files represent durable long-term state. Once committed, they are snapshots of ephemeral decisions. The `patches/` directory should not grow unboundedly with stale artifacts.
+
+## Preconditions
+
+- GitOps authentication healthy.
+- Current working branch should not be diverging from main unnecessarily for this cleanup.
+- Run from the workspace root.
+
+## Steps
+
+### Phase 1: Assess Current State
+
+1. List all files under `patches/`.
+2. For each file, check its git log (`git log --oneline patches/<file>`) to understand its purpose and age.
+3. Identify which files are:
+   - Stale `.branch.json` files describing branches that have already been merged.
+   - Stale `nl/` plan files that were experimental, incomplete, or superseded.
+   - Patch files that are still relevant for the current self-evolution state.
+
+### Phase 2: Clean Up Stale Artifacts
+
+For each stale artifact file:
+1. Remove it with `git rm`.
+2. Create a single commit message describing the batch cleanup, e.g.:
+   `chore(patches): remove stale artifact files [nl/*.json|branch.json]`
+
+### Phase 3: Housekeeping (Optional)
+
+If the file `self-evolution-agent-orchestration-policy.json` in patches/ is superseded by the active `config/self-evolution/agent-orchestration-policy.json`, evaluate whether it should also be removed or kept as reference. Document this decision.
+
+## Constraints
+
+- No force push.
+- No direct production publish.
+- No secret output.
+- Preserve audit trail.
+- Only remove files that are confirmed stale (do not remove actively referenced patches that the runtime still uses to bootstrap state).
+
+## Return Format
+
+Status:
+Workspace:
+Branch:
+Files Removed:
+Files Kept:
+Commit:
+Issues:

agent-instructions/codex/fix-reports-permission-v1.md

@@ -0,0 +1,66 @@
+# Codex Execution Instruction
+
+Instruction ID: fix-reports-permission-v1
+Version: v1
+Target Agent: codex
+
+## Objective
+Fix the GitOps workspace reports directory permission issue so the Agent OS acceptance report can be committed.
+
+## Context
+Current blocked path:
+
+/data/aios-gitops/workspace/reports/
+
+Error:
+
+Permission denied
+
+## Execution Steps
+
+1. Enter workspace:
+
+cd /data/aios-gitops/workspace
+
+2. Check current user and permissions:
+
+whoami
+id
+ls -ld reports
+
+3. Create directory if missing:
+
+mkdir -p reports
+
+4. Fix ownership and write permission for this directory only:
+
+chown -R <gitops-user>:<gitops-group> reports
+chmod -R u+rwX reports
+
+5. Verify write access:
+
+touch reports/.write-test
+rm reports/.write-test
+
+6. Commit pending acceptance report changes after verification.
+
+## Constraints
+
+- GitOps only.
+- No force push.
+- No chmod 777.
+- Do not modify unrelated directories.
+- Do not write secrets.
+- Production changes require approval.
+
+## Validation
+
+Return:
+
+Status:
+Branch:
+Commit:
+Rev:
+Sync Status:
+Permission Result:
+Issues:

agent-instructions/codex/system-recovery-v1.md

@@ -0,0 +1,31 @@
+# Codex System Recovery Instruction
+
+Version: v1
+Target Agent: codex
+
+## Objective
+Recover AIOS system issues requiring deep diagnosis or administrator assistance.
+
+## Execution
+1. Inspect runtime status.
+2. Inspect GitOps state.
+3. Identify root cause.
+4. Propose safe patch.
+5. Apply only approved GitOps changes.
+
+## Escalation
+Use when server agents cannot resolve issues.
+
+## Constraints
+- GitOps only.
+- No secrets.
+- No force push.
+- Production changes require approval.
+
+## Return
+Status:
+Branch:
+Commit:
+Rev:
+Sync Status:
+Issues:

agent-instructions/codex/v1r1c5-main-merge-verify-v1.md

@@ -0,0 +1,48 @@
+# Codex Main Merge Verification Instruction
+
+Instruction ID: v1r1c5-main-merge-verify-v1
+Version: v1
+Target Agent: codex
+
+## Objective
+Verify whether V1R1C5 patch branch has been merged into main.
+
+## Preconditions
+
+Ensure GitOps authentication is healthy.
+If Gitea account password state blocks access, resolve account activation through approved admin procedure before continuing.
+
+## Verification Steps
+
+1. Check repository status.
+2. Fetch remote branches.
+3. Compare:
+
+source:
+patch/self-evolution-agent-orchestration-policy
+
+target:
+main
+
+4. Confirm merge commit.
+5. Confirm main HEAD.
+6. Confirm no divergence.
+
+## Constraints
+
+- No force push.
+- No direct production publish.
+- No secret output.
+- Preserve audit trail.
+
+## Return Format
+
+Status:
+Source Branch:
+Target Branch:
+Merge Commit:
+Rev:
+Sync Status:
+Conflicts:
+Main HEAD:
+Issues:

agent-instructions/codex/v1r2c2-branch-sync-validation-v1.md

@@ -0,0 +1,59 @@
+# Codex V1R2C2 Branch Sync Validation Instruction
+
+Instruction ID: v1r2c2-branch-sync-validation-v1
+Version: v1
+Target Agent: codex
+
+## Objective
+
+Validate synchronization state of all git branches between local, origin (Gitea), and gitops remote. Identify divergent branches that need reconciliation.
+
+## Preconditions
+
+- GitOps authentication healthy.
+- Run from workspace root (`/data/aios-gitops/workspace`).
+
+## Validation Scope
+
+1. **main branch sync**: local main == origin/main == gitops/main
+2. **patch branch sync**: for each local branch, compare HEAD against origin and gitops remotes
+3. **Current branch**: verify the active working branch is on the correct base
+4. **Untracked files**: check for files that should be committed vs ignored
+
+## Steps
+
+1. Fetch all remotes.
+2. Capture local branch HEAD hashes.
+3. Capture remote origin branch HEAD hashes.
+4. Capture remote gitops branch HEAD hashes.
+5. For each branch, report:
+   - Fully synced: local == origin == gitops
+   - Divergent: local != origin or local != gitops
+   - Missing remote: branch exists locally but not in remote
+6. Check if current branch is based on main or is diverging.
+7. List untracked files that may need governance.
+
+## Return Format
+
+```
+Status: <synced|divergence_found>
+Workspace: /data/aios-gitops/workspace
+Main Sync: <yes|no>
+Main HEAD: <sha>
+Origin/main HEAD: <sha>
+Gitops/main HEAD: <sha>
+Divergent Branches:
+  - <branch name>: <local sha> vs <remote sha> [origin|gitops] (<reason>)
+Missing Remote Branches:
+  - <branch name>: <local sha>
+Untracked File Count: <count>
+Issues:
+- <issue description>
+```
+
+## Constraints
+
+- No force push.
+- No destructive actions.
+- No secret output.
+- Report only; do not auto-resolve discrepancies.

agent-instructions/custom_gpt_review/.gitkeep

@@ -0,0 +1 @@
+# Placeholder for versioned custom GPT review instructions.

agent-instructions/custom_gpt_review/solution-review-v1.md

@@ -0,0 +1,31 @@
+# Custom GPT Solution Review Instruction
+
+Version: v1
+Target Agent: custom_gpt_review
+
+## Objective
+Review difficult architecture decisions and implementation proposals from server agents.
+
+## Role
+Act as reviewer and advisor for OpenClaw, Hermes and other AIOS agents.
+
+## Execution
+1. Receive complete problem context.
+2. Review baseline, branch and proposed changes.
+3. Analyze alternative solutions.
+4. Recommend implementation approach.
+5. Identify risks and validation requirements.
+
+## Constraints
+- Advisory role only.
+- No direct production changes.
+- No secrets.
+- GitOps workflow required.
+- Release requires approval.
+
+## Return
+Status:
+Recommendation:
+Risk:
+Validation:
+Next Step:

agent-instructions/hermes/.gitkeep

@@ -0,0 +1 @@
+# Placeholder for versioned Hermes instructions.

agent-instructions/hermes/architecture-review-v1.md

@@ -0,0 +1,32 @@
+# Hermes Architecture Review Instruction
+
+Version: v1
+Target Agent: hermes
+
+## Objective
+Review AIOS architecture, policies and implementation plans.
+
+## Execution
+1. Review baseline and branch diff.
+2. Analyze architecture impact.
+3. Review OpenClaw execution proposals.
+4. Validate acceptance criteria.
+5. Provide improvement recommendations.
+
+## Escalation
+For unresolved architecture choices, prepare complete context for external review.
+
+## Constraints
+- GitOps only.
+- No secrets.
+- No direct production changes.
+- Approval required for release.
+
+## Return
+Status:
+Branch:
+Commit:
+Rev:
+Sync Status:
+Issues:
+Recommendations:

agent-instructions/openclaw/.gitkeep

@@ -0,0 +1 @@
+# Placeholder for versioned OpenClaw instructions.

agent-instructions/openclaw/README.md

@@ -0,0 +1,24 @@
+# OpenClaw Agent Instructions Index
+
+## Available Instructions
+
+### v1r1c5-hermes-coordination-v1
+
+Instruction file:
+
+agent-instructions/openclaw/v1r1c5-hermes-coordination-v1.md
+
+Purpose:
+
+Coordinate Hermes architecture review through OpenClaw controlled communication channel.
+
+Invocation:
+
+Execute openclaw/v1r1c5-hermes-coordination-v1 instruction
+
+Requirements:
+
+- Read the referenced markdown file from the GitOps workspace.
+- Do not treat the identifier as a local shell command.
+- Do not search external skill marketplaces unless the file is missing.
+- Follow GitOps workflow rules defined in the instruction.

agent-instructions/openclaw/runtime-maintenance-v1.md

@@ -0,0 +1,32 @@
+# OpenClaw Runtime Maintenance Instruction
+
+Version: v1
+Target Agent: openclaw
+
+## Objective
+Maintain server-side AIOS runtime and perform safe optimization tasks.
+
+## Execution
+1. Check runtime health.
+2. Review logs and GitOps status.
+3. Identify optimization opportunities.
+4. Create patch proposals.
+5. Execute approved changes.
+
+## Escalation
+When solution selection or implementation is uncertain, prepare full context and escalate for review.
+
+## Constraints
+- GitOps only.
+- Patch-first workflow.
+- No secrets.
+- No force push.
+- Production release requires approval.
+
+## Return
+Status:
+Branch:
+Commit:
+Rev:
+Sync Status:
+Issues:

agent-instructions/openclaw/v1r1c5-hermes-coordination-v1.md

@@ -0,0 +1,51 @@
+# OpenClaw Execution Instruction: Hermes Coordination
+
+Instruction ID: v1r1c5-hermes-coordination-v1
+Version: v1
+Target Agent: openclaw
+
+## Objective
+
+Coordinate Hermes architecture review through OpenClaw-controlled communication channel.
+
+## Architecture Rule
+
+Hermes is not directly connected to external control channels.
+All Hermes requests and responses must be routed through OpenClaw personal WeChat channel.
+
+## Workflow
+
+1. Receive AIOS task or review request.
+2. Send required context to Hermes through OpenClaw WeChat.
+3. Collect Hermes architecture analysis.
+4. Record review result in GitOps reports.
+5. Continue execution or escalate when required.
+
+## Context Package
+
+Include:
+
+- Baseline version
+- Branch
+- Diff summary
+- Problem description
+- Proposed solution
+- Validation requirements
+
+## Constraints
+
+- GitOps only.
+- No secrets.
+- No direct production changes.
+- Maintain audit records.
+- Use escalation flow for unresolved decisions.
+
+## Return Format
+
+Status:
+Branch:
+Commit:
+Rev:
+Sync Status:
+Hermes Result:
+Issues:

agent-instructions/openclaw/v1r1c5-hermes-review-improvement-v1.md

@@ -0,0 +1,119 @@
+# OpenClaw Execution Instruction
+
+Instruction ID: v1r1c5-hermes-review-improvement-v1
+Version: v1
+Target Agent: openclaw
+
+## Objective
+
+Implement V1R1C5 improvements based on Hermes Conditional Approval review.
+
+## Context
+
+Baseline:
+V1R1C4
+
+Branch:
+patch/self-evolution-agent-orchestration-policy
+
+Proposal:
+V1R1C5-agent-os-evolution-proposal
+
+## Required Changes
+
+1. Add Agent Resource Governance:
+
+Create:
+config/self-evolution/agent-resource-manager.json
+
+Support:
+- resource limits
+- parallel task limits
+- agent priority
+- runtime isolation
+- overload handling
+
+2. Enhance Consensus Engine:
+
+Add dynamic weighting:
+
+Final Weight = Base Weight * Quality Score * Historical Reliability * Domain Expertise
+
+Base weights:
+- custom_gpt: 2
+- windows_codex: 2
+- server_agent: 1
+
+Add risk gates:
+- Production Release
+- V-Level Change
+- Security Policy Change
+
+Require:
+Consensus Approval + Owner Approval
+
+3. Enhance Message Bus:
+
+Update runtime/agent-os/message_bus.py
+
+Add:
+- task_id
+- correlation_id
+- retry_state
+- delivery_status
+
+Support:
+- message tracking
+- retry
+- recovery
+- audit
+
+4. Add Agent Health Score:
+
+Create:
+runtime/agent-os/agent_health_score.py
+
+Calculate from:
+- quality score
+- acceptance rate
+- historical reliability
+
+Use for:
+- scheduler selection
+- consensus weighting
+
+## Validation
+
+Run:
+python3 -m compileall runtime/agent-os
+
+Run:
+runtime/agent-os/integration_test.py
+
+Validate:
+- scheduler
+- consensus
+- message bus
+- escalation
+- recovery
+
+## Constraints
+
+- GitOps only
+- Patch-first
+- No secrets
+- No force push
+- No direct main write
+- Production changes require approval
+
+## Return Format
+
+Status:
+Branch:
+Commit:
+Rev:
+Sync Status:
+Changed Files:
+Tests:
+Hermes Review Items Completed:
+Remaining Issues:

agent-instructions/openclaw/v1r1c5-hermes-routing-correction-v1.md

@@ -0,0 +1,61 @@
+# OpenClaw Hermes Routing Correction Instruction
+
+Instruction ID: v1r1c5-hermes-routing-correction-v1
+Version: v1
+Target Agent: openclaw
+
+## Objective
+Correct Hermes coordination routing. OpenClaw must actively package AIOS review requests and route them through the configured Hermes communication path instead of asking the user to provide missing context when the request context already exists in GitOps.
+
+## Current Architecture
+
+OpenClaw is the coordination entry point.
+Hermes is reached indirectly through OpenClaw controlled communication.
+
+## Hermes Routing Targets
+
+Authorized Hermes communication Chat IDs:
+
+- o9cq80wSaJq6utQBkUC4fE1sJWxY@im.wechat
+- o9cq80x9RoA6ljoFZDxg71mS0gDA@im.wechat
+
+## Execution Flow
+
+1. Read current AIOS GitOps context.
+2. Collect:
+   - Baseline version
+   - Branch
+   - Diff summary
+   - Problem description
+   - Proposed solution
+   - Validation requirements
+3. Send complete review package to Hermes through configured OpenClaw communication channel.
+4. Receive Hermes analysis.
+5. Record review result in GitOps reports.
+
+## Current Review Context
+
+Baseline:
+V1R1C4
+
+Branch:
+patch/self-evolution-agent-orchestration-policy
+
+Proposal:
+V1R1C5-agent-os-evolution-proposal
+
+## Constraints
+
+- Do not ask user for context that already exists in GitOps.
+- Do not treat instruction ID as external skill package.
+- GitOps audit required.
+- No secrets.
+- No direct production changes.
+
+## Return
+
+Status:
+Hermes Routing:
+Review Context:
+Result:
+Issues:

agent-instructions/openclaw/v1r1c5-owner-approval-gate-v1.md

@@ -0,0 +1,52 @@
+# OpenClaw Owner Approval Gate Instruction
+
+Instruction ID: v1r1c5-owner-approval-gate-v1
+Version: v1
+Target Agent: openclaw
+
+## Objective
+
+Manage owner approval workflow for high-risk AIOS operations.
+
+## Approval Required For
+
+- V-level version changes.
+- Production release.
+- Tag creation.
+- Runtime changes with production impact.
+- Administrator authorization actions.
+- Unresolved multi-agent decisions.
+
+## Workflow
+
+1. Collect approval context.
+2. Include baseline version, branch, diff summary and risk assessment.
+3. Route approval request through owner communication channel registry.
+4. Wait for approval decision.
+5. Record decision in GitOps audit.
+
+## Approval Context
+
+Must include:
+
+- Request reason.
+- Affected components.
+- Validation results.
+- Rollback considerations.
+- Risk level.
+
+## Constraints
+
+- No direct production action without approval.
+- No secrets in messages or reports.
+- Use configured owner communication channels only.
+- Maintain audit records.
+
+## Return Format
+
+Status:
+Approval Status:
+Channel Used:
+Decision:
+Audit Record:
+Issues:

agent-instructions/openclaw/v1r1c5-owner-notification-routing-v1.md

@@ -0,0 +1,43 @@
+# OpenClaw Owner Notification Routing Instruction
+
+Instruction ID: v1r1c5-owner-notification-routing-v1
+Version: v1
+Target Agent: openclaw
+
+## Objective
+
+Implement owner notification routing through configured owner communication channels.
+
+## Routing Rules
+
+1. OpenClaw must first inspect the owner-bound communication channels already configured in the system.
+2. Select the primary owner communication channel according to system priority configuration.
+3. If the primary channel is unavailable, unhealthy, or delivery fails, automatically fallback to the configured backup communication channel.
+4. Record routing decision and delivery status in GitOps audit records.
+
+## Notification Scenarios
+
+Notify owner for:
+
+- High risk architecture decisions.
+- Agent consensus deadlock.
+- Production-impacting approval requests.
+- Required administrator authorization.
+- Release approval gates.
+
+## Constraints
+
+- Do not hardcode personal communication identifiers in instruction files.
+- Use configured channel registry only.
+- Do not expose private contact information in logs.
+- Maintain audit trail.
+- GitOps workflow required.
+
+## Return Format
+
+Status:
+Primary Channel Status:
+Fallback Channel Status:
+Delivery Result:
+Audit Record:
+Issues:

agent-instructions/windows_codex_app/.gitkeep

@@ -0,0 +1 @@
+# Placeholder for versioned Windows Codex App instructions.

agent-instructions/windows_codex_app/v1r1c5-recovery-and-admin-assistance-v1.md

@@ -0,0 +1,47 @@
+# Windows Codex App Execution Instruction
+
+Instruction ID: v1r1c5-recovery-and-admin-assistance-v1
+Version: v1
+Target Agent: windows_codex_app
+
+## Objective
+
+Participate in V1R1C5 Agent OS evolution as recovery, administrator assistance and exceptional execution support agent.
+
+## Responsibilities
+
+1. Assist when server OpenClaw agents have runtime failures.
+2. Assist when Hermes review cannot be completed through OpenClaw.
+3. Handle cases requiring administrator authorization workflow.
+4. Participate in multi-agent voting when decision conflicts occur.
+5. Validate recovery results after server agent restoration.
+
+## Execution Rules
+
+- Work from online GitOps versions.
+- Use patch-first workflow.
+- Do not bypass approval gates.
+- Do not write secrets.
+- Do not force push.
+- Do not directly publish production versions.
+
+## Recovery Flow
+
+Server agent failure:
+
+OpenClaw/Hermes issue
+        -> Windows Codex diagnosis
+        -> propose fix
+        -> GitOps patch
+        -> validation
+        -> approval
+
+## Return Format
+
+Status:
+Branch:
+Commit:
+Rev:
+Sync Status:
+Recovery Result:
+Issues:

agents/ACKNOWLEDGEMENT.md

@@ -0,0 +1,2 @@
+# Agent Acknowledgement
+Initialized by CMD-20260708-fix-git-actions-write-and-enable-audit-plane

agents/commands/archive/CMD-20260708-fix-git-actions-write-and-enable-audit-plane.md

@@ -0,0 +1,36 @@
+# CMD-20260708-fix-git-actions-write-and-enable-audit-plane
+
+## Command ID
+CMD-20260708-fix-git-actions-write-and-enable-audit-plane
+
+## Priority
+P0
+
+## Mode
+autonomous
+
+## Target
+Primary: OpenClaw
+Supporting: Hermes
+Review: Codex
+
+## Objective
+解决当前 AIOS Git Actions 写权限问题，恢复 ChatGPT Actions → AIOS GitOps API → Git Commit 链路，
+同时建立 Agent 全生命周期审计体系。
+
+## Status
+- Part 1 (Fix Git Actions Write Permission): ✅ COMPLETE
+- Part 2 (Agent Command Plane Structure): ✅ COMPLETE
+- Part 3 (Agent Execution Audit): ✅ COMPLETE
+- Part 4 (Conversation Trace): 🚧 IN PROGRESS
+- Part 5 (Version Association): ⏳ PENDING
+- Part 6 (Web UI Integration): ⏳ PENDING
+- Part 7 (Evidence): ⏳ PENDING
+- Part 8 (Regression Test): ⏳ PENDING
+
+## Completion Criteria
+1. Code committed: agents/, audit/, evidence/, web-ui/
+2. Doc: docs/architecture/AIOS_AGENT_AUDIT_PLANE.md
+3. Report: evidence/CMD-20260708.../final-report.md
+4. Output: AIOS_AGENT_AUDIT_PLANE_READY, AIOS_GIT_ACTION_WRITE_READY
+5. Next command created: CMD-20260709-autonomous-controller-enable

agents/commands/archive/CMD-20260709-enable-autonomous-controller.md

@@ -0,0 +1,35 @@
+# CMD-20260709-enable-autonomous-controller
+
+## Command ID
+CMD-20260709-enable-autonomous-controller
+
+## Priority
+P0
+
+## Mode
+autonomous
+
+## Target
+Primary: OpenClaw
+Supporting: Hermes
+Review: Codex
+
+## Objective
+Enable autonomous controller for AIOS GitOps:
+- Auto-detect issues
+- Auto-diagnose
+- Auto-generate fixes
+- Auto-test
+- Auto-create patches
+- Auto-request approval
+
+## Preconditions
+- Agent Command Plane initialized (CMD-BOOTSTRAP-001)
+- Git Actions write permission fixed (CMD-20260708)
+- Audit plane enabled (CMD-20260708)
+- Notification service enabled (CMD-20260708)
+
+## Completion Criteria
+- Autonomous controller service running
+- Can detect, diagnose, fix, and report
+- Pipeline: detect → diagnose → fix → test → patch → approve → commit → notify

agents/commands/completed/CMD-20260708-fix-git-actions-write-and-enable-audit-plane.md

@@ -0,0 +1,36 @@
+# CMD-20260708-fix-git-actions-write-and-enable-audit-plane
+
+## Command ID
+CMD-20260708-fix-git-actions-write-and-enable-audit-plane
+
+## Priority
+P0
+
+## Mode
+autonomous
+
+## Target
+Primary: OpenClaw
+Supporting: Hermes
+Review: Codex
+
+## Objective
+解决当前 AIOS Git Actions 写权限问题，恢复 ChatGPT Actions → AIOS GitOps API → Git Commit 链路，
+同时建立 Agent 全生命周期审计体系。
+
+## Status
+- Part 1 (Fix Git Actions Write Permission): ✅ COMPLETE
+- Part 2 (Agent Command Plane Structure): ✅ COMPLETE
+- Part 3 (Agent Execution Audit): ✅ COMPLETE
+- Part 4 (Conversation Trace): 🚧 IN PROGRESS
+- Part 5 (Version Association): ⏳ PENDING
+- Part 6 (Web UI Integration): ⏳ PENDING
+- Part 7 (Evidence): ⏳ PENDING
+- Part 8 (Regression Test): ⏳ PENDING
+
+## Completion Criteria
+1. Code committed: agents/, audit/, evidence/, web-ui/
+2. Doc: docs/architecture/AIOS_AGENT_AUDIT_PLANE.md
+3. Report: evidence/CMD-20260708.../final-report.md
+4. Output: AIOS_AGENT_AUDIT_PLANE_READY, AIOS_GIT_ACTION_WRITE_READY
+5. Next command created: CMD-20260709-autonomous-controller-enable

agents/commands/completed/CMD-20260709-enable-autonomous-controller.md

@@ -0,0 +1,35 @@
+# CMD-20260709-enable-autonomous-controller
+
+## Command ID
+CMD-20260709-enable-autonomous-controller
+
+## Priority
+P0
+
+## Mode
+autonomous
+
+## Target
+Primary: OpenClaw
+Supporting: Hermes
+Review: Codex
+
+## Objective
+Enable autonomous controller for AIOS GitOps:
+- Auto-detect issues
+- Auto-diagnose
+- Auto-generate fixes
+- Auto-test
+- Auto-create patches
+- Auto-request approval
+
+## Preconditions
+- Agent Command Plane initialized (CMD-BOOTSTRAP-001)
+- Git Actions write permission fixed (CMD-20260708)
+- Audit plane enabled (CMD-20260708)
+- Notification service enabled (CMD-20260708)
+
+## Completion Criteria
+- Autonomous controller service running
+- Can detect, diagnose, fix, and report
+- Pipeline: detect → diagnose → fix → test → patch → approve → commit → notify

agents/notifications/archive/20260709-pr2-cleanup/n-1783527185.json

@@ -0,0 +1,7 @@
+{
+  "nid": "n-1783527185",
+  "title": "⚠️ Issue Detected: branch_sync",
+  "body": "10 branches missing from Gitea DB",
+  "urgency": "warning",
+  "ts": "2026-07-09T00:13:05+0800"
+}

agents/notifications/archive/20260709-pr2-cleanup/n-1783529900.json

@@ -0,0 +1,7 @@
+{
+  "nid": "n-1783529900",
+  "title": "⚠️ Issue Detected: branch_sync",
+  "body": "10 branches missing from Gitea DB",
+  "urgency": "warning",
+  "ts": "2026-07-09T00:58:20+0800"
+}

agents/notifications/archive/20260709-pr2-cleanup/n-1783529914.json

@@ -0,0 +1,7 @@
+{
+  "nid": "n-1783529914",
+  "title": "⚠️ Issue Detected: branch_sync",
+  "body": "10 branches missing from Gitea DB",
+  "urgency": "warning",
+  "ts": "2026-07-09T00:58:34+0800"
+}

agents/notifications/archive/20260709-pr2-cleanup/n-1783530514.json

@@ -0,0 +1,7 @@
+{
+  "nid": "n-1783530514",
+  "title": "⚠️ Issue Detected: branch_sync",
+  "body": "10 branches missing from Gitea DB",
+  "urgency": "warning",
+  "ts": "2026-07-09T01:08:34+0800"
+}

agents/notifications/archive/20260709-pr2-cleanup/n-1783531114.json

@@ -0,0 +1,7 @@
+{
+  "nid": "n-1783531114",
+  "title": "⚠️ Issue Detected: branch_sync",
+  "body": "10 branches missing from Gitea DB",
+  "urgency": "warning",
+  "ts": "2026-07-09T01:18:34+0800"
+}

agents/notifications/archive/20260709-pr2-cleanup/n-1783531714.json

@@ -0,0 +1,7 @@
+{
+  "nid": "n-1783531714",
+  "title": "⚠️ Issue Detected: branch_sync",
+  "body": "10 branches missing from Gitea DB",
+  "urgency": "warning",
+  "ts": "2026-07-09T01:28:34+0800"
+}

agents/notifications/archive/20260709-pr2-cleanup/n-1783532314.json

@@ -0,0 +1,7 @@
+{
+  "nid": "n-1783532314",
+  "title": "⚠️ Issue Detected: branch_sync",
+  "body": "10 branches missing from Gitea DB",
+  "urgency": "warning",
+  "ts": "2026-07-09T01:38:34+0800"
+}

agents/notifications/archive/20260709-pr2-cleanup/n-1783532914.json

@@ -0,0 +1,7 @@
+{
+  "nid": "n-1783532914",
+  "title": "⚠️ Issue Detected: branch_sync",
+  "body": "10 branches missing from Gitea DB",
+  "urgency": "warning",
+  "ts": "2026-07-09T01:48:34+0800"
+}

agents/notifications/archive/20260709-pr2-cleanup/n-1783533514.json

@@ -0,0 +1,7 @@
+{
+  "nid": "n-1783533514",
+  "title": "⚠️ Issue Detected: branch_sync",
+  "body": "10 branches missing from Gitea DB",
+  "urgency": "warning",
+  "ts": "2026-07-09T01:58:34+0800"
+}

agents/notifications/archive/20260709-pr2-cleanup/n-1783534114.json

@@ -0,0 +1,7 @@
+{
+  "nid": "n-1783534114",
+  "title": "⚠️ Issue Detected: branch_sync",
+  "body": "10 branches missing from Gitea DB",
+  "urgency": "warning",
+  "ts": "2026-07-09T02:08:34+0800"
+}

agents/patches/archive/20260709-pr2-cleanup/patch-1783527185.json

@@ -0,0 +1,16 @@
+{
+  "patch_id": "patch-1783527185",
+  "created": "2026-07-09T00:13:05+0800",
+  "check": "branch_sync",
+  "severity": "high",
+  "diagnosis": "10 branches missing from Gitea DB",
+  "branches": [
+    "patch/agent-event-bus-unified",
+    "test/alias-write-verify",
+    "patch/V1R2C3-tag-execute-idempotent-permission",
+    "patch/gitops-write-auth-smoke-20260706T115230Z",
+    "patch/gpt-actions-auth-live-20260708"
+  ],
+  "stuck": [],
+  "fix": "sync_branches"
+}

agents/patches/archive/20260709-pr2-cleanup/patch-1783529900.json

@@ -0,0 +1,16 @@
+{
+  "patch_id": "patch-1783529900",
+  "created": "2026-07-09T00:58:20+0800",
+  "check": "branch_sync",
+  "severity": "high",
+  "diagnosis": "10 branches missing from Gitea DB",
+  "branches": [
+    "test/alias-test-file-branch",
+    "patch/codex-online-sync-acceptance-20260706T102819Z",
+    "patch/V1R2C3-tag-execute-idempotent-permission",
+    "patch/actions-invalid-diag-smoke-20260706T140311Z",
+    "patch/V1R2C2-autonomous-recovery-loop"
+  ],
+  "stuck": [],
+  "fix": "sync_branches"
+}

agents/patches/archive/20260709-pr2-cleanup/patch-1783529914.json

@@ -0,0 +1,16 @@
+{
+  "patch_id": "patch-1783529914",
+  "created": "2026-07-09T00:58:34+0800",
+  "check": "branch_sync",
+  "severity": "high",
+  "diagnosis": "10 branches missing from Gitea DB",
+  "branches": [
+    "patch/codex-write-auth-smoke-20260706T115256Z",
+    "patch/v1r3c0-user-portal-rbac-ops-20260708",
+    "request/tag-V1R3C0-self-loop-autonomous-engine",
+    "patch/fix-tag-confirmation-state-machine",
+    "patch/gitops-write-auth-fix"
+  ],
+  "stuck": [],
+  "fix": "sync_branches"
+}