mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-18 07:19:35 +00:00
27 lines
1.1 KiB
Python
27 lines
1.1 KiB
Python
from __future__ import annotations
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from typing import Any, Dict
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from app.openclaw.durable_flow import DurableTaskFlow
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class SelfImprovementFlow:
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"""6-phase self-improvement loop v2.0 as durable flow."""
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def run(self, tenant_id: str, input_state: Dict[str, Any]) -> Dict[str, Any]:
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flow = DurableTaskFlow(flow_name="self_improvement_v2", tenant_id=tenant_id)
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flow.checkpoint("collect_signals", {"signals": input_state.get("signals", [])})
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flow.checkpoint("diagnose_bottlenecks", {"bottlenecks": input_state.get("bottlenecks", [])})
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flow.checkpoint("generate_experiments", {"experiments": input_state.get("experiments", [])})
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flow.checkpoint("run_ab_tests", {"ab_results": input_state.get("ab_results", {})})
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flow.checkpoint(
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"validate_security_governance",
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{"governance_passed": input_state.get("governance_passed", True)},
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)
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flow.checkpoint("promote_or_rollback", {"promoted": input_state.get("promoted", True)})
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flow.checkpoint("done", {"status": "completed"})
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return flow.as_dict()
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self_improvement_flow = SelfImprovementFlow()
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