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- 统一使用 `run_context.run.messages` 作为消息历史的单一数据源,清理 `AgentState` 冗余字段 - 将工具消息装配逻辑 `assemble_tool_message` 提取并重构至 `ToolExecutor` - 引入 `token_drift` 动态校准偏移量,并精确计算工具与系统提示词的 Token 开销 - 重构 `ReflexionCapability` 自愈反思引擎,基于异常多态与模板字典动态生成反馈提示词 - 支持通过 `resolve_model_capabilities` 解析并合并用户自定义的模型能力覆盖 - 在执行器循环中支持 `should_reset_cycle`,以优雅处理外部干预(如用户追加指示) - 扩展 `capabilities` 中对 `gpt-[5-9]*` 等新型号模型的能力定义与上下文限制 Co-authored-by: webjoin111 <455457521@qq.com>
116 lines
4.0 KiB
Python
116 lines
4.0 KiB
Python
from collections import defaultdict
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from collections.abc import Awaitable, Callable
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from zhenxun.services.ai.flow.agent.models import AgentRunResources, AgentState
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from zhenxun.services.ai.run.models import AgentRunResult, HandoffPayload
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from zhenxun.services.ai.tools.models import ToolResult
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from zhenxun.services.ai.utils.logger import log_agent as logger
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from zhenxun.utils.pydantic_compat import model_construct
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from zhenxun.utils.utils import infer_plugin_namespace
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DirectiveHandlerFunc = Callable[
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[AgentState, AgentRunResources, ToolResult], Awaitable[None]
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]
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class DirectiveManager:
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"""工具指令路由注册中心"""
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def __init__(self):
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self._handlers: dict[str, dict[str, DirectiveHandlerFunc]] = defaultdict(dict)
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def register(
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self, name: str, handler: DirectiveHandlerFunc, namespace: str = "global"
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) -> None:
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self._handlers[namespace][name] = handler
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logger.debug(f"已注册工具副作用指令: '{name}' -> Namespace: '{namespace}'")
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def get_handler(
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self, name: str, namespace: str = "global"
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) -> DirectiveHandlerFunc | None:
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"""优先从指定 namespace 找,找不到回退到 global"""
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ns_dict = self._handlers.get(namespace, {})
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if name in ns_dict:
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return ns_dict[name]
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return self._handlers.get("global", {}).get(name)
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directive_manager = DirectiveManager()
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def directive(name: str | None = None, namespace: str | None = None):
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"""
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注册一个自定义工具副作用指令处理器的装饰器。
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参数:
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name: 指令的名称,如果不填则默认使用被装饰的函数名。
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namespace: 插件命名空间,如果不填则基于代码调用栈自动推断。
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"""
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def decorator(func: DirectiveHandlerFunc):
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dir_name = name or func.__name__
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ns = namespace if namespace is not None else infer_plugin_namespace()
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directive_manager.register(dir_name, func, ns)
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return func
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return decorator
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@directive("submit_structured", namespace="global")
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async def handle_submit_structured(
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state: AgentState, resources: AgentRunResources, tool_res: ToolResult
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) -> None:
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parsed_obj = (
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tool_res.directive.payload.get("parsed_obj") if tool_res.directive else None
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)
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logger.debug("✅ 拦截到结构化结果提交,结束循环。")
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state.is_finished = True
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state.pending_result = model_construct(
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AgentRunResult,
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output=None,
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messages=list(resources.run_context.run.messages),
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structured_data=parsed_obj,
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usage=state.usage,
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)
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@directive("end_run", namespace="global")
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async def handle_end_run(
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state: AgentState, resources: AgentRunResources, tool_res: ToolResult
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) -> None:
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output = (
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tool_res.directive.payload.get("output", tool_res.output)
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if tool_res.directive
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else tool_res.output
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)
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logger.debug("✅ 捕获到工具发出的终止信号,提前结束推理循环。")
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state.is_finished = True
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state.pending_result = model_construct(
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AgentRunResult,
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output=output,
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messages=list(resources.run_context.run.messages),
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usage=state.usage,
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)
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@directive("handoff", namespace="global")
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async def handle_handoff(
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state: AgentState, resources: AgentRunResources, tool_res: ToolResult
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) -> None:
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payload = tool_res.directive.payload if tool_res.directive else {}
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handoff = HandoffPayload(
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target=payload.get("target", "unknown"),
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reason=payload.get("reason", ""),
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context_data=payload.get("context_data", ""),
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)
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output_text = f"已触发控制权移交 -> {handoff.target}。原因: {handoff.reason}"
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logger.info(f"✅ 拦截到移交(Handoff)信号: 移交给 -> {handoff.target}。结束循环。")
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state.is_finished = True
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state.pending_result = model_construct(
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AgentRunResult,
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output=output_text,
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messages=list(resources.run_context.run.messages),
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usage=state.usage,
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handoff=handoff,
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)
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