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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>
54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass
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from typing import Any
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from .adapter import PlanAgentV2Decision, evaluate_for_expert_mode
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from .switch import should_route_to_v2
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from oclaw.runtime.types import StandardMessage
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@dataclass(frozen=True)
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class GatewayPlanV2AdapterOutput:
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used_v2: bool
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decision: PlanAgentV2Decision | None
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def evaluate_gateway_expert_turn_shadow(
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*,
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store: Any,
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msg: StandardMessage,
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lang: str,
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interaction_mode: str,
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requested_specialist: str,
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execution_mode: str = "",
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base_system_prompt: str,
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force_flag: bool = False,
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trace_id: str | None = None,
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parent_span_id: str | None = None,
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) -> GatewayPlanV2AdapterOutput:
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if not should_route_to_v2(store=store, interaction_mode=interaction_mode, force_flag=force_flag):
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return GatewayPlanV2AdapterOutput(used_v2=False, decision=None)
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meta = msg.metadata if isinstance(msg.metadata, dict) else {}
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if "plan_agent_version" in meta:
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if str(meta.get("plan_agent_version") or "").strip().lower() != "v2":
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return GatewayPlanV2AdapterOutput(used_v2=False, decision=None)
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eff_mode = str(execution_mode or "").strip().lower()
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if eff_mode not in {"agent", "plan"}:
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eff_mode = "plan" if force_flag else "agent"
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dec = evaluate_for_expert_mode(
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store=store,
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session_id=str(msg.session_id or ""),
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lang=lang,
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requested_specialist=requested_specialist,
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user_text=str(msg.text or ""),
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execution_mode=eff_mode,
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base_system_prompt=base_system_prompt,
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trace_id=trace_id,
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parent_span_id=parent_span_id,
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)
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return GatewayPlanV2AdapterOutput(used_v2=True, decision=dec)
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__all__ = ["GatewayPlanV2AdapterOutput", "evaluate_gateway_expert_turn_shadow"]
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