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https://github.com/hansjone/oclaw.git
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oliver
37522f492a
- Add runtime/plan_agent_v2 package and shims; gateway/direct_loop/WS wiring - Admin chat: interaction mode and specialist only in user menu; session API stores memory_mode and execution_mode only - POST /admin/api/chat/user-mode mirrors plan_agent_version to AIA_EXPERT_PLAN_AGENT_V2_ENABLED (v2 to 1, v1 to 0) - Composer cleanup (hidden mode select, no reasoning toggle in meta bar); tests and _local/system.env.example Co-authored-by: Cursor <cursoragent@cursor.com>
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
from __future__ import annotations
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from typing import Any
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from .adapter import PlanAgentV2Decision
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from oclaw.runtime.gateway import OclawGatewayResult
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def legacy_gateway_result_keys() -> set[str]:
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return set(OclawGatewayResult.__dataclass_fields__.keys())
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def build_shadow_gateway_result(
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*,
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decision: PlanAgentV2Decision,
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run_id: str,
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trace_id: str,
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elapsed_ms: int,
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requested_specialist: str,
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) -> dict[str, Any]:
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return {
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"run_id": str(run_id),
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"reply_text": str(decision.reply_text or ""),
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"trace_id": str(trace_id),
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"elapsed_ms": int(elapsed_ms),
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"mode": "sync_direct",
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"task_id": None,
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"selected_specialist": str((decision.plan_state or {}).get("owner_specialist") or requested_specialist or "generalist"),
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"interaction_mode": "expert",
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"dispatch_reason": f"plan_agent_v2:{decision.action}",
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"manager_selected_specialist": str((decision.plan_state or {}).get("owner_specialist") or requested_specialist or "generalist"),
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"requested_specialist": str(requested_specialist or "generalist"),
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"dynamic_agent_used": False,
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"dynamic_agent_name": "",
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"relay_pointer_count": 0,
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"relay_envelope_present": False,
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"relay_envelope_pointer_count": 0,
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"relay_ttl_turn_count": 0,
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"relay_ttl_session_count": 0,
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"relay_ttl_keep_count": 0,
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}
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__all__ = ["build_shadow_gateway_result", "legacy_gateway_result_keys"]
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