qiaoqichaoandClaude Code
d56c699ce6
按 docs/v2/05-implementation-plan.md §1 候选迁移表与 claude_use/T00 白名单， 从 55e2cdb 抽取 224 个文件（2.48 MB）到独立目录 F:/mini-OpenClaw-v2。 - 排除：凭据(.env/server-deploy.conf/旧DELIVERY.md)、运行数据(xingbang_data 等 4 个 SQLite)、依赖(venv/node_modules 符号链接)、归档(_backup*/test-evidence/ ori_file)、Office 临时文件 - 目标目录独立 git 仓库，初始恢复点；Gitea 远程与分支待 OQ-06 Q2 定案 - 未部署、未启动服务、未调用模型 Co-Authored-By: Claude Code <noreply@anthropic.com>
61 lines
2.1 KiB
Python
61 lines
2.1 KiB
Python
"""Prompt Builder — Assemble system prompt from 6 Markdown files."""
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from pathlib import Path
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MAX_COMPONENT_LENGTH = 20000
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def _read_component(path: Path) -> str:
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"""Read a file, truncating if it exceeds MAX_COMPONENT_LENGTH."""
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if not path.exists():
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return ""
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content = path.read_text(encoding="utf-8")
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if len(content) > MAX_COMPONENT_LENGTH:
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content = content[:MAX_COMPONENT_LENGTH] + "\n...[truncated]"
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return content
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RAG_GUIDANCE = """注意：长期记忆(MEMORY.md)已切换为RAG检索模式。
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系统会根据用户的问题自动检索相关记忆片段并注入上下文。
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如果检索到了相关记忆，它们会以"[记忆检索结果]"标记呈现在你的上下文中。"""
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def build_system_prompt(base_dir: Path, rag_mode: bool = False) -> str:
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"""Build the full system prompt by concatenating components in order.
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Order:
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1. SKILLS_SNAPSHOT.md — available skills listing
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2. workspace/SOUL.md — persona, tone, boundaries
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3. workspace/IDENTITY.md — name, style, emoji
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4. workspace/USER.md — user profile
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5. workspace/AGENTS.md — operation instructions & memory/skill protocols
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6. memory/MEMORY.md — cross-session long-term memory (skipped in RAG mode)
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When rag_mode=True, MEMORY.md is excluded and a RAG guidance note is appended.
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"""
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components = [
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("Skills Snapshot", base_dir / "SKILLS_SNAPSHOT.md"),
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("Soul", base_dir / "workspace" / "SOUL.md"),
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("Identity", base_dir / "workspace" / "IDENTITY.md"),
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("User Profile", base_dir / "workspace" / "USER.md"),
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("Agents Guide", base_dir / "workspace" / "AGENTS.md"),
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]
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# Only include MEMORY.md when not in RAG mode
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if not rag_mode:
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components.append(
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("Long-term Memory", base_dir / "memory" / "MEMORY.md")
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)
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parts: list[str] = []
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for label, path in components:
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content = _read_component(path)
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if content:
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parts.append(f"<!-- {label} -->\n{content}")
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# Append RAG guidance when in RAG mode
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if rag_mode:
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parts.append(f"<!-- RAG Mode -->\n{RAG_GUIDANCE}")
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return "\n\n".join(parts)
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