feat(governance): 顯示 Agent 互動學習證據

apps/api/src/api/v1/agents.py

@@ -61,6 +61,9 @@ from src.services.ai_agent_gitea_pr_draft_lane import (
 from src.services.ai_agent_host_stateful_version_inventory import (
     load_latest_ai_agent_host_stateful_version_inventory,
 )
+from src.services.ai_agent_interaction_learning_proof import (
+    load_latest_ai_agent_interaction_learning_proof,
+)
 from src.services.ai_agent_proactive_operations_contract import (
     load_latest_ai_agent_proactive_operations_contract,
 )
@@ -572,6 +575,33 @@ async def get_agent_communication_learning_contract() -> dict[str, Any]:
         ) from exc
 
 
+@router.get(
+    "/agent-interaction-learning-proof",
+    response_model=dict[str, Any],
+    summary="取得 AI Agent 互動與學習證據面",
+    description=(
+        "讀取最新已提交的 OpenClaw / Hermes / NemoTron 互動、接手、學習、成長與 Telegram 收據證據面；"
+        "此端點不啟動 worker、不讀寫 Redis consumer group、不建立 DB migration、不送 Telegram、"
+        "不顯示工作視窗對話、prompt、private reasoning 或 secret。"
+    ),
+)
+async def get_agent_interaction_learning_proof() -> dict[str, Any]:
+    """Return the latest read-only AI Agent interaction and learning proof surface."""
+    try:
+        return await asyncio.to_thread(load_latest_ai_agent_interaction_learning_proof)
+    except FileNotFoundError as exc:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=str(exc),
+        ) from exc
+    except (json.JSONDecodeError, ValueError) as exc:
+        logger.error("ai_agent_interaction_learning_proof_invalid", error=str(exc))
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail="AI Agent 互動與學習證據面無效",
+        ) from exc
+
+
 @router.get(
     "/agent-proactive-operations-contract",
     response_model=dict[str, Any],

apps/api/src/services/ai_agent_interaction_learning_proof.py

@@ -0,0 +1,197 @@
+"""
+AI Agent interaction and learning proof snapshot.
+
+Loads the latest committed, read-only proof surface for how operators can see
+OpenClaw, Hermes, and NemoTron communicating, handing off work, learning, and
+growing. This module is intentionally truth-gated: it never starts workers,
+opens Redis consumer groups, writes database migrations, sends Telegram
+messages, exposes transcripts, or marks live runtime as active.
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+from typing import Any
+
+from src.services.snapshot_paths import default_evaluations_dir
+
+_DEFAULT_EVALUATIONS_DIR = default_evaluations_dir(Path(__file__))
+_SNAPSHOT_PATTERN = "ai_agent_interaction_learning_proof_*.json"
+_SCHEMA_VERSION = "ai_agent_interaction_learning_proof_v1"
+
+
+def load_latest_ai_agent_interaction_learning_proof(
+    evaluations_dir: Path | None = None,
+) -> dict[str, Any]:
+    """Load the newest committed AI Agent interaction learning proof snapshot."""
+    directory = evaluations_dir or _DEFAULT_EVALUATIONS_DIR
+    candidates = sorted(directory.glob(_SNAPSHOT_PATTERN))
+    if not candidates:
+        raise FileNotFoundError(
+            f"no AI Agent interaction learning proof snapshots found in {directory}"
+        )
+
+    latest = candidates[-1]
+    with latest.open(encoding="utf-8") as handle:
+        payload = json.load(handle)
+
+    if not isinstance(payload, dict):
+        raise ValueError(f"{latest}: expected JSON object")
+    _require_schema(payload, _SCHEMA_VERSION, str(latest))
+    _require_read_only_truth(payload, str(latest))
+    _require_rollup_consistency(payload, str(latest))
+    _require_agent_lanes(payload, str(latest))
+    _require_frontend_redaction(payload, str(latest))
+    return payload
+
+
+def _require_schema(payload: dict[str, Any], expected: str, label: str) -> None:
+    actual = payload.get("schema_version")
+    if actual != expected:
+        raise ValueError(f"{label}: expected schema_version={expected}, got {actual!r}")
+
+
+def _require_read_only_truth(payload: dict[str, Any], label: str) -> None:
+    program_status = payload.get("program_status") or {}
+    if program_status.get("read_only_mode") is not True:
+        raise ValueError(f"{label}: program_status.read_only_mode must be true")
+    if program_status.get("runtime_authority") != "proof_surface_only_no_live_worker":
+        raise ValueError(
+            f"{label}: runtime_authority must stay proof_surface_only_no_live_worker"
+        )
+
+    live_truth = payload.get("live_truth") or {}
+    live_flags = {
+        "runtime_loop_enabled",
+        "live_agent_session_readback_enabled",
+        "redis_consumer_group_enabled",
+        "telegram_send_enabled",
+        "learning_writeback_enabled",
+    }
+    enabled = sorted(flag for flag in live_flags if live_truth.get(flag) is not False)
+    if enabled:
+        raise ValueError(f"{label}: live truth flags must remain false: {enabled}")
+
+    live_counts = {
+        "active_live_agent_sessions",
+        "live_agent_messages_24h",
+        "live_handoffs_24h",
+        "live_learning_writes_24h",
+        "telegram_digest_receipts_24h",
+    }
+    non_zero = sorted(key for key in live_counts if live_truth.get(key) != 0)
+    if non_zero:
+        raise ValueError(f"{label}: live truth counts must remain zero: {non_zero}")
+
+    boundaries = payload.get("approval_boundaries") or {}
+    blocked_flags = {
+        "runtime_worker_allowed",
+        "db_migration_allowed",
+        "redis_consumer_group_allowed",
+        "telegram_direct_send_allowed",
+        "conversation_transcript_display_allowed",
+        "agent_private_reasoning_display_allowed",
+        "secret_plaintext_allowed",
+        "autonomous_self_modify_allowed",
+    }
+    allowed = sorted(flag for flag in blocked_flags if boundaries.get(flag) is not False)
+    if allowed:
+        raise ValueError(f"{label}: approval boundaries must remain false: {allowed}")
+
+
+def _require_rollup_consistency(payload: dict[str, Any], label: str) -> None:
+    rollups = payload.get("rollups") or {}
+    proof_ladder = payload.get("proof_ladder") or []
+    proof_signals = payload.get("proof_signals") or []
+    operator_surfaces = payload.get("operator_surfaces") or []
+    runtime_gates = payload.get("runtime_gates") or []
+
+    expected_counts = {
+        "proof_level_count": len(proof_ladder),
+        "signal_count": len(proof_signals),
+        "operator_surface_count": len(operator_surfaces),
+        "runtime_gate_count": len(runtime_gates),
+    }
+    mismatched = {
+        key: {"expected": expected, "actual": rollups.get(key)}
+        for key, expected in expected_counts.items()
+        if rollups.get(key) != expected
+    }
+    if mismatched:
+        raise ValueError(f"{label}: rollup counts must match payload sections: {mismatched}")
+
+    contract_ready_ids = sorted(
+        level.get("level_id")
+        for level in proof_ladder
+        if level.get("status") in {"contract_ready", "proof_surface_ready"}
+    )
+    if rollups.get("contract_ready_level_count") != len(contract_ready_ids):
+        raise ValueError(f"{label}: rollups.contract_ready_level_count mismatch")
+
+    live_pending_ids = sorted(
+        level.get("level_id")
+        for level in proof_ladder
+        if level.get("status") in {"live_pending", "blocked_by_gate"}
+    )
+    if sorted(rollups.get("live_pending_level_ids") or []) != live_pending_ids:
+        raise ValueError(f"{label}: rollups.live_pending_level_ids mismatch")
+
+    live_signal_count = sum(
+        1 for signal in proof_signals if signal.get("current_state") == "live_verified"
+    )
+    if rollups.get("live_signal_count") != live_signal_count:
+        raise ValueError(f"{label}: rollups.live_signal_count mismatch")
+
+    blocked_gate_ids = sorted(
+        gate.get("gate_id")
+        for gate in runtime_gates
+        if gate.get("status") in {"blocked", "approval_required"}
+    )
+    if sorted(rollups.get("blocked_gate_ids") or []) != blocked_gate_ids:
+        raise ValueError(f"{label}: rollups.blocked_gate_ids mismatch")
+
+    live_truth = payload.get("live_truth") or {}
+    for key in (
+        "active_live_agent_sessions",
+        "live_agent_messages_24h",
+        "live_handoffs_24h",
+        "live_learning_writes_24h",
+        "telegram_digest_receipts_24h",
+    ):
+        if rollups.get(key) != live_truth.get(key):
+            raise ValueError(f"{label}: rollups.{key} must mirror live_truth.{key}")
+
+
+def _require_agent_lanes(payload: dict[str, Any], label: str) -> None:
+    lanes = payload.get("agent_lanes") or []
+    lane_ids = {lane.get("agent_id") for lane in lanes}
+    required_lanes = {"openclaw", "hermes", "nemotron"}
+    if not required_lanes.issubset(lane_ids):
+        raise ValueError(f"{label}: missing required agent lanes: {sorted(required_lanes - lane_ids)}")
+
+    missing_visible_signal = [
+        lane.get("agent_id")
+        for lane in lanes
+        if not lane.get("visible_signals")
+    ]
+    if missing_visible_signal:
+        raise ValueError(f"{label}: every agent lane needs visible_signals: {missing_visible_signal}")
+
+    unsafe_lanes = [
+        lane.get("agent_id")
+        for lane in lanes
+        if "conversation_transcript" in set(lane.get("visible_signals") or [])
+    ]
+    if unsafe_lanes:
+        raise ValueError(f"{label}: visible signals must not expose transcripts: {unsafe_lanes}")
+
+
+def _require_frontend_redaction(payload: dict[str, Any], label: str) -> None:
+    redaction = payload.get("frontend_redaction") or {}
+    if redaction.get("operator_conversation_display_allowed") is not False:
+        raise ValueError(f"{label}: operator conversation display must stay false")
+    if redaction.get("agent_private_reasoning_display_allowed") is not False:
+        raise ValueError(f"{label}: agent private reasoning display must stay false")
+    if redaction.get("raw_prompt_display_allowed") is not False:
+        raise ValueError(f"{label}: raw prompt display must stay false")