mirror of
https://github.com/microsoft/SkillOpt.git
synced 2026-07-03 14:02:58 +08:00
4a1b984d87
- Rename teacher -> optimizer, student -> target across all code, configs, docs, prompts - CLI: --teacher_model -> --optimizer_model, --student_model -> --target_model - Remove best_skill files, keep only initial skills - Fix slow update gate (force write into skill) - Fix SLOW_UPDATE marker stripping - Remove deep_reflect and meta_reflect mechanisms - Update .env.example with export prefix and azure_cli docs - Add endpoint empty validation in azure_openai.py Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
60 lines
2.0 KiB
Python
60 lines
2.0 KiB
Python
"""Optimizer-driven full skill rewrite from selected revise_suggestions."""
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from __future__ import annotations
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import json
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from skillopt.model import chat_optimizer
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from skillopt.prompts import load_prompt
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from skillopt.optimizer.update_modes import get_payload_items
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from skillopt.utils import extract_json
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def rewrite_skill_from_suggestions(
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skill_content: str,
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patch: dict,
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*,
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system_prompt: str | None = None,
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step_buffer_context: str = "",
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env: str | None = None,
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reasoning_effort: str | None = "high",
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max_completion_tokens: int = 64000,
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) -> dict | None:
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suggestions = get_payload_items(patch, "rewrite_from_suggestions")
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if not suggestions:
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return None
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user = (
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f"## Current Skill\n{skill_content}\n\n"
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f"## Selected Revise Suggestions ({len(suggestions)} total)\n"
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f"{json.dumps(suggestions, ensure_ascii=False, indent=2)}\n\n"
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)
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if step_buffer_context.strip():
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user += f"## Previous Steps in This Epoch\n{step_buffer_context}\n\n"
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user += (
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"Rewrite the full skill document so it integrates the selected suggestions. "
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"Return the complete new skill in `new_skill`."
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)
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actual_system = system_prompt if system_prompt is not None else load_prompt(
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"rewrite_skill", env=env,
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)
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try:
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response, _ = chat_optimizer(
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system=actual_system,
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user=user,
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max_completion_tokens=max_completion_tokens,
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retries=3,
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stage="rewrite",
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reasoning_effort=reasoning_effort,
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)
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result = extract_json(response)
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if result and str(result.get("new_skill", "")).strip():
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result["new_skill"] = str(result["new_skill"]).rstrip() + "\n"
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if "change_summary" not in result or not isinstance(result["change_summary"], list):
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result["change_summary"] = []
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return result
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except Exception: # noqa: BLE001
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return None
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return None
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