```
feat(engine): 添加技能查看工具并优化异步任务管理 - 添加SkillViewTool到引擎加载器中,增强技能管理功能 - 在AgentLoop中引入_active_direct_task来跟踪活跃任务 - 实现直接任务执行时的同步处理逻辑 - 更新工具实例化方式以支持依赖注入 feat(config): 增加智能体运行时参数配置支持 - 扩展AgentDefaultsConfig添加max_tokens和temperature字段 - 实现配置解析函数_first_config_value处理多个配置源 - 支持通过Web API动态更新智能体运行时参数 - 添加前端页面配置表单和验证逻辑 refactor(provider): 统一最大令牌数参数类型为可选整型 - 将所有LLM提供者的max_tokens参数改为int | None类型 - 为AnthropicProvider实现模型特定的最大令牌数默认值 - 调整参数传递逻辑,优先级:调用参数 > 配置文件 > 模型默认值 - 移除硬编码的默认值,改用条件判断 feat(process): 增强事件投影功能 - 添加工具调用开始/结束事件的映射逻辑 - 实现技能激活事件的识别和展示 - 添加辅助函数处理工具调用名称和参数提取 - 优化运行记录关联逻辑,提升事件匹配准确性 fix(web): 更新网络请求客户端信任环境设置 - 将WebFetchTool和WebSearchTool的trust_env参数设为True - 确保HTTP客户端能够正确使用系统代理配置 - 修复可能的网络连接问题 test: 添加配置加载和事件投影相关测试 - 新增智能体默认参数配置测试用例 - 实现API配置持久化和重载测试 - 添加技能卡片和工具事件的投影测试 ```
This commit is contained in:
@ -68,6 +68,14 @@ class AgentService:
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def _apply_configured_profile_defaults(self) -> None:
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defaults = self.loader.config.agents_defaults
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self.profile.max_tokens = None
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self.profile.temperature = 0.2
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self.profile.max_context_messages = 1000
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self.profile.max_tool_iterations = 30
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if defaults.max_tokens is not None:
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self.profile.max_tokens = max(1, defaults.max_tokens)
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if defaults.temperature is not None:
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self.profile.temperature = defaults.temperature
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if defaults.max_context_messages is not None:
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self.profile.max_context_messages = max(1, defaults.max_context_messages)
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if defaults.max_tool_iterations is not None:
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@ -50,10 +50,11 @@ class SessionProcessProjector:
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for record in records:
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payload = dict(record.event_payload or {})
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task_id = payload.get("task_id")
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run_record_for_event = run_records.get(str(record.run_id)) if record.run_id else None
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task_id = payload.get("task_id") or getattr(run_record_for_event, "task_id", None)
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if not task_id:
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continue
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attempt_index = int(payload.get("attempt_index") or 1)
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attempt_index = int(payload.get("attempt_index") or getattr(run_record_for_event, "attempt_index", None) or 1)
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root_run_id = f"task:{task_id}:attempt:{attempt_index}"
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created_at = _timestamp(record.timestamp)
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root = runs.setdefault(
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@ -73,7 +74,61 @@ class SessionProcessProjector:
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},
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)
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if record.event_type == "task_execution_planned":
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if record.event_type == "assistant_message_added" and record.tool_calls:
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run_id = record.run_id or root_run_id
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parent_run_id = root_run_id if run_id != root_run_id else None
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for index, tool_call in enumerate(record.tool_calls):
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if not isinstance(tool_call, dict):
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continue
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tool_name = _tool_call_name(tool_call)
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add_event(
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event_id=f"{_event_id(record, 'tool-call')}:{index}",
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run_id=run_id,
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parent_run_id=parent_run_id,
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kind="tool_call_started",
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actor_type="tool",
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actor_id=tool_name,
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actor_name=tool_name,
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text=f"Calling tool: {tool_name}.",
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created_at=created_at,
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status="running",
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metadata={
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"task_id": task_id,
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"attempt_index": attempt_index,
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"timeline_type": "tool_call",
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"tool_name": tool_name,
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"tool_call_id": tool_call.get("id"),
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"arguments": _tool_call_arguments(tool_call),
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},
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)
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elif record.event_type == "tool_result_recorded":
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run_id = record.run_id or root_run_id
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parent_run_id = root_run_id if run_id != root_run_id else None
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tool_name = str(record.tool_name or payload.get("tool_name") or "tool")
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add_event(
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event_id=_event_id(record, "tool-result"),
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run_id=run_id,
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parent_run_id=parent_run_id,
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kind="tool_call_finished",
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actor_type="tool",
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actor_id=tool_name,
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actor_name=tool_name,
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text=_truncate(str(record.content or payload.get("error") or "")),
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created_at=created_at,
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status="done" if payload.get("success", True) else "error",
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metadata={
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**dict(payload),
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"task_id": task_id,
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"attempt_index": attempt_index,
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"timeline_type": "tool_result",
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"tool_name": tool_name,
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"tool_call_id": record.tool_call_id,
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"result_summary": _truncate(str(record.content or payload.get("error") or "")),
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},
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)
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elif record.event_type == "task_execution_planned":
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plan_mode = payload.get("plan_mode") or "single"
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strategy = payload.get("strategy") or "single"
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node_ids = payload.get("node_ids") or []
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@ -241,6 +296,7 @@ class SessionProcessProjector:
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main_run_id = str(payload.get("main_run_id") or "")
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if main_run_id:
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run_record = run_records.get(main_run_id)
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activated_skill_names = _activated_skill_names(run_record)
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runs[main_run_id] = {
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"run_id": main_run_id,
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"parent_run_id": root_run_id,
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@ -254,8 +310,32 @@ class SessionProcessProjector:
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"started_at": run_record.started_at if run_record is not None else created_at,
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"finished_at": run_record.ended_at if run_record is not None else created_at,
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"summary": _truncate(run_record.task_text if run_record is not None else ""),
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"metadata": {"task_id": task_id, "attempt_index": attempt_index},
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"metadata": {
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"task_id": task_id,
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"attempt_index": attempt_index,
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"skill_names": activated_skill_names,
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},
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}
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if activated_skill_names:
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add_event(
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event_id=_event_id(record, "synthesis-skills"),
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run_id=main_run_id,
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parent_run_id=root_run_id,
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kind="skill_selected",
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actor_type="system",
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actor_id="skill-selector",
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actor_name="Skill Selector",
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text=f"Selected skill guidance: {', '.join(activated_skill_names)}.",
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created_at=created_at,
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status="done",
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metadata={
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"task_id": task_id,
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"attempt_index": attempt_index,
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"timeline_type": "skill",
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"skill_names": activated_skill_names,
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"activation_reasons": _activated_skill_reasons(run_record),
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},
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)
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add_event(
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event_id=_event_id(record, "synthesis"),
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run_id=main_run_id,
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@ -335,3 +415,49 @@ def _truncate(text: str, limit: int = 800) -> str:
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if len(cleaned) <= limit:
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return cleaned
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return cleaned[: limit - 1] + "..."
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def _activated_skill_names(run_record: Any | None) -> list[str]:
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if run_record is None:
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return []
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names = []
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for receipt in getattr(run_record, "activated_skills", []) or []:
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skill_name = str(getattr(receipt, "skill_name", "") or "").strip()
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if skill_name:
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names.append(skill_name)
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return list(dict.fromkeys(names))
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def _activated_skill_reasons(run_record: Any | None) -> list[str]:
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if run_record is None:
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return []
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reasons = []
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for receipt in getattr(run_record, "activated_skills", []) or []:
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reason = str(getattr(receipt, "activation_reason", "") or "").strip()
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if reason:
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reasons.append(reason)
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return reasons
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def _tool_call_name(tool_call: dict[str, Any]) -> str:
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function_payload = tool_call.get("function")
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if isinstance(function_payload, dict):
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name = function_payload.get("name")
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if name:
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return str(name)
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for key in ("name", "tool_name"):
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value = tool_call.get(key)
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if value:
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return str(value)
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return "tool"
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def _tool_call_arguments(tool_call: dict[str, Any]) -> Any:
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function_payload = tool_call.get("function")
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if isinstance(function_payload, dict) and "arguments" in function_payload:
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return function_payload.get("arguments")
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if "arguments" in tool_call:
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return tool_call.get("arguments")
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if "args" in tool_call:
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return tool_call.get("args")
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return None
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