steven_li
520a21a027
添加 DEFAULT_TEAM_NODE_MAX_TOOL_ITERATIONS 配置项以控制团队节点的最大工具迭代次数， 并修改 LocalAgentRunner 中的逻辑来使用此默认值当 envelope 中未指定时。 fix(runtime): 修复团队节点运行成功判断逻辑 更新运行成功判断条件，将 finish_reason 为 "max_tool_iterations_finalized" 的情况 视为运行失败，并添加对原始工具调用输出的检测，避免将其误判为成功完成。 feat(mcp): 添加团队工作流MCP工具类别支持 增加新的本地MCP工具类别 "team_workflow" 及其对应的工具创建功能， 为团队工作流提供本地工具支持。 refactor(engine): 调整AgentLoop最大工具迭代次数设置 将 AgentProfile 中的默认 max_tool_iterations 从 30 增加到 100， 同时移除 TaskExecutionPlanner 构造函数中的重复参数传递。 perf(mcp): 优化MCP连接管理避免重复连接 添加 mcp_connected 标志来跟踪MCP连接状态，确保 connect_all 只执行一次， 提高性能并避免不必要的重复连接。 refactor(skills): 移除技能团队模板相关功能 移除与技能团队模板相关的代码，包括解析、存储和处理逻辑， 简化技能记录结构和加载流程。 feat(process): 增强会话过程投影器功能 添加技能激活快照事件处理，改进团队运行完成消息显示， 并增强技能激活事件的时间戳记录功能。 refactor(tasks): 简化任务尝试编排器团队执行逻辑 移除团队执行相关代码，将所有任务统一按单步执行处理， 简化任务编排器的复杂度并提升执行效率。 fix(evidence): 修复节点证据评估中需求验证逻辑 更新节点证据评估逻辑，跳过自然语言证据需求的确定性验证， 只执行机器可读的需求验证，避免因自然语言需求导致的节点失败。
86 lines
3.4 KiB
Python
86 lines
3.4 KiB
Python
from __future__ import annotations
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import hashlib
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import json
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from datetime import datetime, timezone
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from pathlib import Path
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def main() -> None:
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skill_name = "mgm-galaxy-financial-chart-report-safe"
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workspace = Path("/root/.beaver/workspace")
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skill_dir = workspace / "skills" / skill_name
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skill_md = skill_dir / "versions" / "v0001" / "SKILL.md"
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content = skill_md.read_text(encoding="utf-8")
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digest = "sha256:" + hashlib.sha256(content.encode("utf-8")).hexdigest()
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now = datetime.now(timezone.utc).isoformat()
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(skill_dir / "current.json").write_text(
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json.dumps({"current_version": "v0001"}, indent=2, ensure_ascii=False) + "\n",
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encoding="utf-8",
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)
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(skill_dir / "skill.json").write_text(
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json.dumps(
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{
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"name": skill_name,
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"display_name": "MGM/Galaxy Financial Chart Report Safe",
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"description": "Compare MGM China and Galaxy Entertainment using official financial sources, produce chart-ready Markdown, and avoid claiming generated chart image/file artifacts.",
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"created_at": now,
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"updated_at": now,
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"current_version": "v0001",
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"status": "active",
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"tags": ["finance", "research", "report", "chart-ready-data", "mgm", "galaxy"],
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"owners": ["steven"],
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"source_kind": "workspace",
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"lineage": [],
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},
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indent=2,
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ensure_ascii=False,
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)
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+ "\n",
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encoding="utf-8",
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)
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(skill_dir / "versions" / "v0001" / "version.json").write_text(
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json.dumps(
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{
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"skill_name": skill_name,
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"version": "v0001",
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"content_hash": digest,
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"summary_hash": digest,
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"created_at": now,
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"created_by": "steven",
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"change_reason": "Add real Skill Team Template example for MGM/Galaxy finance report demo",
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"parent_version": None,
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"review_state": "published",
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"frontmatter": {
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"name": skill_name,
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"description": "Compare MGM China and Galaxy Entertainment using official financial sources, produce chart-ready Markdown, and avoid claiming generated chart image/file artifacts.",
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"tools": ["web_search", "web_fetch"],
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},
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"summary": "MGM/Galaxy finance report skill with a task-only Beaver team template for official source collection, metric extraction, validation, and Markdown chart-ready reporting.",
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"tool_hints": ["web_search", "web_fetch"],
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"provenance": {"source_kind": "manual_demo", "target_instance": "steven"},
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"tree_hash": "",
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},
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indent=2,
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ensure_ascii=False,
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)
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+ "\n",
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encoding="utf-8",
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)
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index_path = workspace / "skills" / "_index" / "published.json"
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try:
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payload = json.loads(index_path.read_text(encoding="utf-8"))
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except FileNotFoundError:
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payload = {"items": []}
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items = [str(item) for item in payload.get("items", [])]
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if skill_name not in items:
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items.append(skill_name)
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index_path.write_text(json.dumps({"items": items}, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
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print(f"installed metadata for {skill_name}: {digest}")
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if __name__ == "__main__":
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main()
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