mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-18 15:29:36 +00:00
49 lines
2.0 KiB
Python
49 lines
2.0 KiB
Python
from __future__ import annotations
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from typing import Any, Dict
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from app.openclaw.approval_bridge import approval_bridge
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from app.openclaw.observability_bridge import observability_bridge
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from app.openclaw.task_router import task_router
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class OpenClawGateway:
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"""Single ingress for OpenClaw tasks: policy -> progress -> execute."""
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async def execute(
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self,
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*,
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tenant_id: str,
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task_type: str,
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action: str,
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payload: Dict[str, Any],
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model_provider: str = "auto",
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cache_hint: str = "prompt-cache-reuse",
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) -> Dict[str, Any]:
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gate = approval_bridge.evaluate(action=action, payload=payload, tenant_id=tenant_id)
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run_id = observability_bridge.start_run(
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tenant_id=tenant_id,
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task_type=task_type,
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model_provider=model_provider,
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cache_hint=cache_hint,
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approval_required=bool(gate.get("requires_approval")),
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)
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observability_bridge.step(run_id, "policy_gate", "ok" if gate["allowed"] else "blocked", {"gate": gate})
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if not gate["allowed"]:
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observability_bridge.finish(run_id, status="blocked", error=gate["reason"])
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return {"run_id": run_id, "status": "blocked", "gate": gate}
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try:
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observability_bridge.step(run_id, "routing", "ok", {"task_type": task_type})
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result = await task_router.route(task_type, tenant_id, payload)
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observability_bridge.step(run_id, "execution", "ok")
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observability_bridge.finish(run_id, status="completed")
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return {"run_id": run_id, "status": "completed", "gate": gate, "result": result}
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except Exception as e:
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observability_bridge.step(run_id, "execution", "error", {"error": str(e)})
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observability_bridge.finish(run_id, status="failed", error=str(e))
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return {"run_id": run_id, "status": "failed", "gate": gate, "error": str(e)}
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openclaw_gateway = OpenClawGateway()
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