feat: add persisted batch text testing
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@@ -103,6 +103,8 @@ class PromptBrain(BaseBrain):
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async def setup(self, cfg: AssistantConfig, runtime: BrainRuntime) -> None:
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self._runtime = runtime
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if runtime.tool_executor_factory is not None:
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self._tools = runtime.tool_executor_factory(self._store)
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self._tools.set_client_tools(runtime.client_tools)
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self._actions = ActionRunner(
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self._tools,
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@@ -651,14 +653,27 @@ class PromptBrain(BaseBrain):
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if not kind:
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raise ValueError(f"系统工具 {tool.id} 缺少有效 kind")
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if kind == "end_conversation":
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return self._make_end_call_tool(tool, runtime)
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if kind == "update_state":
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return self._make_update_state_tool(tool, runtime)
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if kind == "skip_turn":
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return self._make_skip_turn_tool(tool)
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if kind == "request_human_handoff":
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return self._make_handoff_tool(tool, runtime)
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raise ValueError(f"未知系统工具: {kind}")
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schema, handler = self._make_end_call_tool(tool, runtime)
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elif kind == "update_state":
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schema, handler = self._make_update_state_tool(tool, runtime)
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elif kind == "skip_turn":
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schema, handler = self._make_skip_turn_tool(tool)
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elif kind == "request_human_handoff":
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schema, handler = self._make_handoff_tool(tool, runtime)
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else:
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raise ValueError(f"未知系统工具: {kind}")
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if runtime.tool_executor_factory is None:
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return schema, handler
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async def mock_system_tool(params: FunctionCallParams) -> None:
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result = await self._tools.execute(
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tool,
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dict(params.arguments or {}),
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)
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await params.result_callback(result)
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return schema, mock_system_tool
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def _make_update_state_tool(self, tool, runtime: BrainRuntime):
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"""更新已声明的动态变量(会话状态),并让模型继续当前回答。"""
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