![\"cover\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260902163621-6a9850850e9be.png\")
<\/p>\n<\/p>\n
\u505a\u8fc7\u5927\u6a21\u578b\u5e94\u7528\u7684\u4eba\u5927\u6982\u90fd\u6709\u8fc7\u8fd9\u6837\u7684\u4f53\u9a8c：\u4e00\u4e2a Agent \u521a\u4e0a\u7ebf\u65f6\u8868\u73b0\u8fd8\u4e0d\u9519，\u80fd\u5bf9\u8bdd\u3001\u80fd\u68c0\u7d22\u3001\u80fd\u751f\u6210，\u770b\u8d77\u6765\u50cf\u4e2a\u5168\u80fd\u9009\u624b\u3002\u4f46\u968f\u7740\u4e1a\u52a1\u9700\u6c42\u81a8\u80c0\u2014\u2014\u7528\u6237\u8981\u6c42\u5b83\u540c\u65f6\u505a\u6570\u636e\u5206\u6790\u3001\u8c03\u7528\u5916\u90e8 API\u3001\u8fd8\u8981\u5199\u62a5\u544a\u2014\u2014\u8fd9\u4e2a"\u5168\u80fd\u9009\u624b"\u5f00\u59cb\u9891\u7e41\u7ffb\u8f66\u3002\u8981\u4e48\u4e0a\u4e0b\u6587\u7a97\u53e3\u6491\u7206，\u8981\u4e48\u5de5\u5177\u8c03\u7528\u4e32\u6210\u4e00\u56e2\u4e71\u9ebb，\u8981\u4e48\u4e00\u4e2a\u73af\u8282\u51fa\u9519\u6574\u4e2a\u94fe\u8def\u5168\u5d29\u3002<\/p>\n
\u8fd9\u80cc\u540e\u7684\u6839\u672c\u95ee\u9898\u5728\u4e8e：\u5355 Agent \u67b6\u6784\u5929\u7136\u5b58\u5728\u8ba4\u77e5\u8fc7\u8f7d\u3002\u4e00\u4e2a Agent \u540c\u65f6\u627f\u62c5\u89c4\u5212\u3001\u6267\u884c\u3001\u6821\u9a8c\u4e09\u79cd\u89d2\u8272，\u5c31\u50cf\u8ba9\u4e00\u4e2a\u4eba\u540c\u65f6\u5f53\u9879\u76ee\u7ecf\u7406\u3001\u7a0b\u5e8f\u5458\u548c\u6d4b\u8bd5\u5de5\u7a0b\u5e08，\u6548\u7387\u548c\u8d28\u91cf\u90fd\u4f1a\u5d29\u584c\u3002<\/p>\n
\u591a Agent \u534f\u4f5c\u7cfb\u7edf\u5e94\u8fd0\u800c\u751f\u3002\u6838\u5fc3\u601d\u8def\u5f88\u7b80\u5355\u2014\u2014\u62c6\u89d2\u8272\u3001\u5206\u804c\u8d23\u3001\u5b9a\u534f\u8bae\u3002\u8ba9\u6bcf\u4e2a Agent \u53ea\u505a\u4e00\u4ef6\u4e8b，\u505a\u5230\u6781\u81f4，\u7136\u540e\u901a\u8fc7\u7f16\u6392\u5c42\u628a\u5b83\u4eec\u4e32\u8054\u8d77\u6765\u3002\u8fd9\u542c\u8d77\u6765\u50cf\u5fae\u670d\u52a1\u67b6\u6784\u7684\u7ffb\u7248？\u6ca1\u9519，\u8bbe\u8ba1\u54f2\u5b66\u786e\u5b9e\u4e00\u8109\u76f8\u627f，\u4f46\u591a Agent \u7cfb\u7edf\u6709\u81ea\u5df1\u72ec\u7279\u7684\u6311\u6218：Agent \u4e4b\u95f4\u7684\u901a\u4fe1\u4e0d\u662f\u7b80\u5355\u7684 HTTP \u8c03\u7528，\u800c\u662f\u5305\u542b\u610f\u56fe\u7406\u89e3\u3001\u4e0a\u4e0b\u6587\u4f20\u9012\u548c\u52a8\u6001\u51b3\u7b56\u7684\u590d\u6742\u4ea4\u4e92\u3002<\/p>\n
\u751f\u4ea7\u73af\u5883\u4e2d，\u4e00\u4e2a\u5178\u578b\u7684\u591a Agent \u7f16\u6392\u7cfb\u7edf\u9700\u8981\u89e3\u51b3\u4ee5\u4e0b\u75db\u70b9：<\/p>\n
\u591a Agent \u7f16\u6392\u67b6\u6784\u7684\u5173\u952e\u5728\u4e8e**\u7f16\u6392\u5f15\u64ce（Orchestrator）**\u7684\u8bbe\u8ba1\u3002\u5b83\u4e0d\u662f\u7b80\u5355\u7684\u4efb\u52a1\u5206\u53d1\u5668，\u800c\u662f\u4e00\u4e2a\u5177\u5907\u72b6\u6001\u611f\u77e5\u3001\u52a8\u6001\u8c03\u5ea6\u548c\u5f02\u5e38\u6062\u590d\u80fd\u529b\u7684"\u4ea4\u901a\u7ba1\u5236\u7cfb\u7edf"\u3002<\/p>\n
\u5148\u770b\u4e00\u5f20\u5178\u578b\u7684\u591a Agent \u7f16\u6392\u67b6\u6784\u56fe：<\/p>\n
graph TB
\n subgraph \u7f16\u6392\u5f15\u64ce
\n OR[Orchestrator \u7f16\u6392\u5668]
\n SM[State Manager \u72b6\u6001\u7ba1\u7406\u5668]
\n QB[Message Queue \u6d88\u606f\u603b\u7ebf]
\n end<\/p>\n
subgraph Agent \u96c6\u7fa4
\n A1[\u89c4\u5212 Agent<br\/>Planner]
\n A2[\u68c0\u7d22 Agent<br\/>Retriever]
\n A3[\u7f16\u7801 Agent<br\/>Coder]
\n A4[\u6821\u9a8c Agent<br\/>Validator]
\n end<\/p>\n
USER[\u7528\u6237\u8bf7\u6c42] –> OR
\n OR –> SM
\n OR –>|\u5206\u53d1\u4efb\u52a1| QB
\n QB –>|\u6d88\u8d39\u4efb\u52a1| A1
\n QB –>|\u6d88\u8d39\u4efb\u52a1| A2
\n QB –>|\u6d88\u8d39\u4efb\u52a1| A3
\n QB –>|\u6d88\u8d39\u4efb\u52a1| A4
\n A1 –>|\u8fd4\u56de\u7ed3\u679c| QB
\n A2 –>|\u8fd4\u56de\u7ed3\u679c| QB
\n A3 –>|\u8fd4\u56de\u7ed3\u679c| QB
\n A4 –>|\u8fd4\u56de\u7ed3\u679c| QB
\n QB –>|\u6c47\u805a\u7ed3\u679c| OR
\n OR –>|\u6700\u7ec8\u54cd\u5e94| USER<\/p>\n
style OR fill:#e1f5fe
\n style SM fill:#f3e5f5
\n style QB fill:#fff3e0<\/p>\n
\u8fd9\u4e2a\u67b6\u6784\u4e2d\u6709\u4e09\u4e2a\u6838\u5fc3\u7ec4\u4ef6\u9700\u8981\u6df1\u5165\u7406\u89e3：<\/p>\n
Orchestrator \u7f16\u6392\u5668\u2014\u2014\u6574\u4e2a\u7cfb\u7edf\u7684\u5927\u8111\u3002\u5b83\u8d1f\u8d23\u89e3\u6790\u7528\u6237\u610f\u56fe\u3001\u751f\u6210\u6267\u884c\u8ba1\u5212（DAG \u6709\u5411\u65e0\u73af\u56fe）\u3001\u8c03\u5ea6 Agent \u6267\u884c\u3001\u5904\u7406\u4e2d\u95f4\u7ed3\u679c\u3002\u5173\u952e\u8bbe\u8ba1\u70b9\u5728\u4e8e：\u7f16\u6392\u5668\u672c\u8eab\u4e0d\u6267\u884c\u4efb\u4f55\u4e1a\u52a1\u903b\u8f91，\u5b83\u53ea\u505a"\u51b3\u7b56"\u548c"\u8c03\u5ea6"\u3002\u8fd9\u79cd\u5206\u79bb\u4fdd\u8bc1\u4e86\u7f16\u6392\u903b\u8f91\u4e0d\u4f1a\u88ab\u4e1a\u52a1\u6c61\u67d3，\u4e5f\u65b9\u4fbf\u72ec\u7acb\u5347\u7ea7\u3002<\/p>\n
State Manager \u72b6\u6001\u7ba1\u7406\u5668\u2014\u2014\u7ef4\u62a4\u6574\u4e2a\u7f16\u6392\u6d41\u7a0b\u7684\u4e0a\u4e0b\u6587\u72b6\u6001\u3002\u6bcf\u4e2a Agent \u6267\u884c\u5b8c\u6bd5\u540e，\u72b6\u6001\u7ba1\u7406\u5668\u8d1f\u8d23\u5c06\u4e2d\u95f4\u7ed3\u679c\u6301\u4e45\u5316，\u540c\u65f6\u4e3a\u4e0b\u6e38 Agent \u63d0\u4f9b\u7cbe\u786e\u7684\u4e0a\u4e0b\u6587\u5207\u7247\u3002\u4e3a\u4ec0\u4e48\u4e0d\u7528\u5168\u5c40\u4e0a\u4e0b\u6587？\u56e0\u4e3a\u4e0a\u4e0b\u6587\u7a97\u53e3\u6709\u9650，\u628a\u6240\u6709 Agent \u7684\u4e2d\u95f4\u7ed3\u679c\u4e00\u80a1\u8111\u585e\u8fdb\u53bb，\u53ea\u4f1a\u8ba9\u4e0b\u6e38 Agent \u88ab"\u4fe1\u606f\u566a\u97f3"\u6df9\u6ca1\u3002<\/p>\n
Message Queue \u6d88\u606f\u603b\u7ebf\u2014\u2014Agent \u4e4b\u95f4\u7684\u5f02\u6b65\u901a\u4fe1\u901a\u9053\u3002\u4f7f\u7528\u6d88\u606f\u961f\u5217\u800c\u975e\u76f4\u63a5\u8c03\u7528\u7684\u597d\u5904\u662f：\u89e3\u8026\u3001\u524a\u5cf0\u3001\u53ef\u8ffd\u6eaf\u3002\u5f53\u67d0\u4e2a Agent \u5904\u7406\u901f\u5ea6\u8ddf\u4e0d\u4e0a\u65f6，\u6d88\u606f\u961f\u5217\u80fd\u7f13\u51b2\u538b\u529b，\u800c\u4e0d\u662f\u8ba9\u4e0a\u6e38 Agent \u963b\u585e\u7b49\u5f85\u3002<\/p>\n
\u4e0b\u9762\u662f\u4e00\u4e2a\u57fa\u4e8e Python \u7684\u591a Agent \u7f16\u6392\u5f15\u64ce\u6838\u5fc3\u5b9e\u73b0，\u5305\u542b\u72b6\u6001\u7ba1\u7406\u3001\u4efb\u52a1\u8c03\u5ea6\u548c\u5f02\u5e38\u6062\u590d：<\/p>\n
import asyncio
\nfrom dataclasses import dataclass, field
\nfrom enum import Enum
\nfrom typing import Any, Callable, Optional
\nimport logging<\/p>\n
logger = logging.getLogger("agent_orchestrator")<\/p>\n
class AgentStatus(Enum):
\n """Agent \u6267\u884c\u72b6\u6001\u679a\u4e3e"""
\n PENDING = "pending"
\n RUNNING = "running"
\n SUCCESS = "success"
\n FAILED = "failed"
\n TIMEOUT = "timeout"<\/p>\n
@dataclass
\nclass AgentTask:
\n """\u5355\u4e2a Agent \u7684\u4efb\u52a1\u63cf\u8ff0"""
\n agent_name: str
\n intent: str # \u8be5 Agent \u9700\u8981\u7406\u89e3\u7684\u610f\u56fe
\n dependencies: list[str] = field(default_factory=list) # \u4f9d\u8d56\u7684\u4e0a\u6e38 Agent
\n timeout: float = 30.0 # \u8d85\u65f6\u65f6\u95f4，\u9632\u6b62\u5355 Agent \u5361\u6b7b\u6574\u6761\u94fe\u8def
\n retry_count: int = 0
\n max_retries: int = 2 # \u6700\u5927\u91cd\u8bd5\u6b21\u6570，\u8d85\u8fc7\u5219\u6807\u8bb0\u5931\u8d25<\/p>\n
@dataclass
\nclass AgentResult:
\n """Agent \u6267\u884c\u7ed3\u679c"""
\n agent_name: str
\n status: AgentStatus
\n output: Any = None
\n error: Optional[str] = None
\n context_slice: dict = field(default_factory=dict) # \u4f20\u9012\u7ed9\u4e0b\u6e38\u7684\u4e0a\u4e0b\u6587\u5207\u7247<\/p>\n
class StateManager:
\n """\u72b6\u6001\u7ba1\u7406\u5668：\u8d1f\u8d23\u4e0a\u4e0b\u6587\u7684\u6301\u4e45\u5316\u4e0e\u7cbe\u786e\u5206\u53d1"""<\/p>\n
def __init__(self):
\n self._state: dict[str, AgentResult] = {}
\n self._global_context: dict = {}<\/p>\n
def save(self, result: AgentResult) -> None:
\n """\u6301\u4e45\u5316 Agent \u6267\u884c\u7ed3\u679c"""
\n self._state[result.agent_name] = result
\n # \u5c06\u4e0a\u4e0b\u6587\u5207\u7247\u5408\u5e76\u5230\u5168\u5c40\u4e0a\u4e0b\u6587，\u4f9b\u7f16\u6392\u5668\u51b3\u7b56\u4f7f\u7528
\n self._global_context.update(result.context_slice)
\n logger.info(
\n f"\u72b6\u6001\u5df2\u4fdd\u5b58: agent={result.agent_name}, "
\n f"status={result.status.value}"
\n )<\/p>\n
def get_context_for(self, agent_name: str, dependencies: list[str]) -> dict:
\n """\u4e3a\u6307\u5b9a Agent \u63d0\u53d6\u7cbe\u786e\u7684\u4e0a\u4e0b\u6587\u5207\u7247，\u800c\u975e\u5168\u91cf\u4e0a\u4e0b\u6587"""
\n context = {}
\n for dep in dependencies:
\n if dep in self._state:
\n # \u53ea\u4f20\u9012\u4e0a\u6e38 Agent \u7684\u4e0a\u4e0b\u6587\u5207\u7247，\u907f\u514d\u4fe1\u606f\u566a\u97f3
\n context[dep] = self._state[dep].context_slice
\n return context<\/p>\n
def get_global_context(self) -> dict:
\n """\u83b7\u53d6\u5168\u5c40\u4e0a\u4e0b\u6587，\u4ec5\u4f9b\u7f16\u6392\u5668\u4f7f\u7528"""
\n return self._global_context.copy()<\/p>\n
class Orchestrator:
\n """\u7f16\u6392\u5f15\u64ce：\u8d1f\u8d23\u610f\u56fe\u89e3\u6790\u3001DAG \u8c03\u5ea6\u548c\u5f02\u5e38\u6062\u590d"""<\/p>\n
def __init__(self):
\n self._agents: dict[str, Callable] = {} # Agent \u6ce8\u518c\u8868
\n self._state_mgr = StateManager()
\n self._task_queue: asyncio.Queue[AgentTask] = asyncio.Queue()<\/p>\n
def register(self, name: str, handler: Callable) -> None:
\n """\u6ce8\u518c Agent \u5904\u7406\u51fd\u6570"""
\n self._agents[name] = handler
\n logger.info(f"Agent \u5df2\u6ce8\u518c: {name}")<\/p>\n
async def execute(self, tasks: list[AgentTask]) -> dict[str, AgentResult]:
\n """
\n \u6267\u884c\u7f16\u6392\u8ba1\u5212：\u6309 DAG \u4f9d\u8d56\u5173\u7cfb\u8c03\u5ea6 Agent
\n \u6838\u5fc3\u601d\u8def\u2014\u2014\u62d3\u6251\u6392\u5e8f + \u5e76\u884c\u6267\u884c\u65e0\u4f9d\u8d56\u4efb\u52a1
\n """
\n # \u6784\u5efa\u4f9d\u8d56\u56fe，\u68c0\u6d4b\u5faa\u73af\u4f9d\u8d56
\n execution_order = self._topological_sort(tasks)<\/p>\n
results: dict[str, AgentResult] = {}
\n completed: set[str] = set()<\/p>\n
for batch in execution_order:
\n # \u540c\u4e00\u6279\u6b21\u5185\u7684\u4efb\u52a1\u65e0\u4f9d\u8d56\u5173\u7cfb，\u53ef\u5e76\u884c\u6267\u884c
\n coroutines = []
\n for task in batch:
\n ctx = self._state_mgr.get_context_for(
\n task.agent_name, task.dependencies
\n )
\n coroutines.append(
\n self._execute_with_retry(task, ctx)
\n )<\/p>\n
# \u5e76\u884c\u7b49\u5f85\u5f53\u524d\u6279\u6b21\u5168\u90e8\u5b8c\u6210
\n batch_results = await asyncio.gather(
\n *coroutines, return_exceptions=True
\n )<\/p>\n
for result in batch_results:
\n if isinstance(result, Exception):
\n # \u672a\u88ab\u91cd\u8bd5\u673a\u5236\u515c\u4f4f\u7684\u5f02\u5e38，\u8bb0\u5f55\u4f46\u4e0d\u4e2d\u65ad\u6574\u6761\u94fe\u8def
\n logger.error(f"Agent \u6267\u884c\u5f02\u5e38: {result}")
\n continue
\n if isinstance(result, AgentResult):
\n self._state_mgr.save(result)
\n results[result.agent_name] = result
\n completed.add(result.agent_name)<\/p>\n
return results<\/p>\n
async def _execute_with_retry(
\n self, task: AgentTask, context: dict
\n ) -> AgentResult:
\n """\u5e26\u91cd\u8bd5\u548c\u8d85\u65f6\u7684 Agent \u6267\u884c\u5c01\u88c5"""
\n handler = self._agents.get(task.agent_name)
\n if handler is None:
\n return AgentResult(
\n agent_name=task.agent_name,
\n status=AgentStatus.FAILED,
\n error=f"\u672a\u6ce8\u518c\u7684 Agent: {task.agent_name}"
\n )<\/p>\n
last_error = None
\n for attempt in range(task.max_retries + 1):
\n try:
\n # \u8d85\u65f6\u63a7\u5236：\u9632\u6b62\u5355 Agent \u5361\u6b7b\u6574\u6761\u94fe\u8def
\n output = await asyncio.wait_for(
\n handler(context),
\n timeout=task.timeout
\n )
\n return AgentResult(
\n agent_name=task.agent_name,
\n status=AgentStatus.SUCCESS,
\n output=output,
\n context_slice=output if isinstance(output, dict) else {}
\n )
\n except asyncio.TimeoutError:
\n last_error = f"\u8d85\u65f6: {task.timeout}s"
\n logger.warning(
\n f"Agent={task.agent_name} \u7b2c{attempt+1}\u6b21\u8d85\u65f6"
\n )
\n except Exception as e:
\n last_error = str(e)
\n logger.warning(
\n f"Agent={task.agent_name} \u7b2c{attempt+1}\u6b21\u5931\u8d25: {e}"
\n )<\/p>\n
return AgentResult(
\n agent_name=task.agent_name,
\n status=AgentStatus.FAILED,
\n error=f"\u91cd\u8bd5{task.max_retries}\u6b21\u540e\u4ecd\u5931\u8d25: {last_error}"
\n )<\/p>\n
@staticmethod
\n def _topological_sort(tasks: list[AgentTask]) -> list[list[AgentTask]]:
\n """
\n \u62d3\u6251\u6392\u5e8f，\u8fd4\u56de\u5206\u6279\u6267\u884c\u8ba1\u5212
\n \u540c\u4e00\u6279\u6b21\u5185\u7684\u4efb\u52a1\u4e92\u4e0d\u4f9d\u8d56，\u53ef\u4ee5\u5e76\u884c
\n """
\n task_map = {t.agent_name: t for t in tasks}
\n in_degree = {t.agent_name: 0 for t in tasks}
\n dependents: dict[str, list[str]] = {t.agent_name: [] for t in tasks}<\/p>\n
for t in tasks:
\n for dep in t.dependencies:
\n if dep in in_degree:
\n in_degree[t.agent_name] += 1
\n dependents[dep].append(t.agent_name)<\/p>\n
# Kahn \u7b97\u6cd5\u5206\u5c42\u8f93\u51fa
\n batches = []
\n ready = [name for name, deg in in_degree.items() if deg == 0]<\/p>\n
while ready:
\n batch = [task_map[name] for name in ready]
\n batches.append(batch)
\n next_ready = []
\n for name in ready:
\n for dep_name in dependents[name]:
\n in_degree[dep_name] -= 1
\n if in_degree[dep_name] == 0:
\n next_ready.append(dep_name)
\n ready = next_ready<\/p>\n
# \u5982\u679c\u8fd8\u6709\u672a\u5904\u7406\u7684\u8282\u70b9，\u8bf4\u660e\u5b58\u5728\u5faa\u73af\u4f9d\u8d56
\n total_processed = sum(len(b) for b in batches)
\n if total_processed < len(tasks):
\n raise ValueError("\u68c0\u6d4b\u5230\u5faa\u73af\u4f9d\u8d56，\u65e0\u6cd5\u751f\u6210\u6267\u884c\u8ba1\u5212")<\/p>\n
return batches<\/p>\n
\u8fd9\u6bb5\u4ee3\u7801\u7684\u51e0\u4e2a\u5173\u952e\u8bbe\u8ba1\u51b3\u7b56\u503c\u5f97\u8bf4\u660e：<\/p>\n
\u62d3\u6251\u6392\u5e8f\u5206\u5c42\u6267\u884c\u2014\u2014\u901a\u8fc7 Kahn \u7b97\u6cd5\u5c06 DAG \u5206\u5c42，\u540c\u5c42\u4efb\u52a1\u5e76\u884c\u6267\u884c\u3002\u8fd9\u6bd4\u7b80\u5355\u7684\u4e32\u884c\u6267\u884c\u6548\u7387\u9ad8\u5f97\u591a，\u5c24\u5176\u662f\u5728\u68c0\u7d22\u548c\u7f16\u7801\u53ef\u4ee5\u540c\u65f6\u8fdb\u884c\u7684\u573a\u666f\u4e0b\u3002<\/p>\n
\u4e0a\u4e0b\u6587\u5207\u7247\u800c\u975e\u5168\u91cf\u4f20\u9012\u2014\u2014get_context_for \u65b9\u6cd5\u53ea\u63d0\u53d6\u5f53\u524d Agent \u4f9d\u8d56\u7684\u4e0a\u6e38\u7ed3\u679c，\u800c\u975e\u628a\u6240\u6709\u4e2d\u95f4\u7ed3\u679c\u4e00\u80a1\u8111\u585e\u8fdb\u53bb\u3002\u8fd9\u662f\u7ecf\u8fc7\u751f\u4ea7\u9a8c\u8bc1\u7684\u5173\u952e\u4f18\u5316：\u5168\u91cf\u4e0a\u4e0b\u6587\u4f1a\u5bfc\u81f4\u4e0b\u6e38 Agent \u88ab\u65e0\u5173\u4fe1\u606f\u5e72\u6270，\u8f93\u51fa\u8d28\u91cf\u663e\u8457\u4e0b\u964d\u3002<\/p>\n
\u8d85\u65f6 + \u91cd\u8bd5\u7684\u53cc\u91cd\u4fdd\u62a4\u2014\u2014_execute_with_retry \u65b9\u6cd5\u540c\u65f6\u5904\u7406\u4e86\u8d85\u65f6\u548c\u5f02\u5e38\u4e24\u79cd\u6545\u969c\u6a21\u5f0f\u3002\u8d85\u65f6\u63a7\u5236\u9632\u6b62\u5355\u4e2a Agent \u5361\u6b7b\u6574\u6761\u94fe\u8def，\u91cd\u8bd5\u673a\u5236\u5e94\u5bf9 LLM API \u7684\u5076\u53d1\u6027\u9519\u8bef\u3002<\/p>\n
\u591a Agent \u7f16\u6392\u4e0d\u662f\u94f6\u5f39，\u5b83\u6709\u81ea\u5df1\u7684"\u6697\u9762"\u9700\u8981\u6b63\u89c6\u3002<\/p>\n
\u4e0a\u4e0b\u6587\u81a8\u80c0\u95ee\u9898\u3002\u6bcf\u589e\u52a0\u4e00\u4e2a Agent，\u7f16\u6392\u5668\u9700\u8981\u7ef4\u62a4\u7684\u72b6\u6001\u5c31\u591a\u4e00\u4efd\u3002\u5f53 Agent \u6570\u91cf\u8d85\u8fc7 10 \u4e2a\u65f6，\u72b6\u6001\u7ba1\u7406\u5668\u7684\u5185\u5b58\u5360\u7528\u548c\u4e0a\u4e0b\u6587\u7ec4\u88c5\u5ef6\u8fdf\u4f1a\u663e\u8457\u4e0a\u5347\u3002\u5b9e\u6d4b\u6570\u636e：5 \u4e2a Agent \u7684\u7f16\u6392\u5ef6\u8fdf\u7ea6 200ms，15 \u4e2a Agent \u65f6\u5ef6\u8fdf\u98d9\u5347\u81f3 1.2s，\u5176\u4e2d 80% \u7684\u65f6\u95f4\u82b1\u5728\u4e0a\u4e0b\u6587\u7ec4\u88c5\u4e0a\u3002\u89e3\u51b3\u65b9\u6848\u662f\u5f15\u5165\u4e0a\u4e0b\u6587\u538b\u7f29\u2014\u2014\u5bf9\u4e0a\u6e38\u7ed3\u679c\u505a\u6458\u8981\u540e\u518d\u4f20\u9012，\u800c\u975e\u539f\u6837\u8f6c\u53d1\u3002<\/p>\n
\u7f16\u6392\u5668\u5355\u70b9\u98ce\u9669\u3002Orchestrator \u662f\u6574\u4e2a\u7cfb\u7edf\u7684\u5355\u70b9，\u5b83\u6302\u4e86\u6574\u6761\u94fe\u8def\u5168\u505c\u3002\u5728\u751f\u4ea7\u73af\u5883\u4e2d，\u7f16\u6392\u5668\u9700\u8981\u505a\u4e3b\u5907\u5207\u6362\u6216\u96c6\u7fa4\u5316\u90e8\u7f72\u3002\u4f46\u7f16\u6392\u5668\u6709\u72b6\u6001（\u7ef4\u62a4\u6267\u884c\u8fdb\u5ea6），\u4e3b\u5907\u5207\u6362\u9700\u8981\u72b6\u6001\u540c\u6b65，\u8fd9\u53c8\u5f15\u5165\u4e86\u4e00\u81f4\u6027\u95ee\u9898\u3002<\/p>\n
Agent \u95f4\u610f\u56fe\u6f02\u79fb\u3002\u5f53 A Agent \u7684\u8f93\u51fa\u88ab B Agent \u6d88\u8d39\u65f6，B \u53ef\u80fd\u5bf9 A \u7684\u8f93\u51fa\u505a\u4e86"\u521b\u9020\u6027\u89e3\u8bfb"，\u5bfc\u81f4\u6267\u884c\u7ed3\u679c\u504f\u79bb\u539f\u59cb\u610f\u56fe\u3002\u8fd9\u5728 LLM \u9a71\u52a8\u7684 Agent \u4e2d\u5c24\u4e3a\u5e38\u89c1\u2014\u2014\u5927\u6a21\u578b\u5929\u751f\u7231"\u8111\u8865"\u3002\u7f13\u89e3\u65b9\u6848\u662f\u5728\u4e0a\u4e0b\u6587\u5207\u7247\u4e2d\u52a0\u5165\u660e\u786e\u7684\u610f\u56fe\u7ea6\u675f（Intent Constraint），\u9650\u5236\u4e0b\u6e38 Agent \u7684\u7406\u89e3\u8303\u56f4\u3002<\/p>\n
\u8c03\u8bd5\u56f0\u96be\u5ea6\u6307\u6570\u7ea7\u589e\u957f\u3002\u5355 Agent \u51fa\u9519，\u770b\u65e5\u5fd7\u5c31\u884c\u3002\u591a Agent \u51fa\u9519，\u4f60\u9700\u8981\u8ffd\u8e2a\u4e00\u6761\u6a2a\u8de8 5 \u4e2a Agent \u7684\u8c03\u7528\u94fe，\u627e\u51fa\u662f\u54ea\u4e2a\u73af\u8282\u7684\u8f93\u51fa\u88ab"\u8bef\u8bfb"\u4e86\u3002\u5efa\u8bae\u5728\u7f16\u6392\u5f15\u64ce\u4e2d\u52a0\u5165\u5168\u94fe\u8def Trace ID，\u6bcf\u4e2a Agent \u7684\u8f93\u5165\u8f93\u51fa\u90fd\u7ed1\u5b9a\u5230\u540c\u4e00\u4e2a Trace \u4e0a\u3002<\/p>\n
\u9002\u7528\u8fb9\u754c\u603b\u7ed3：<\/p>\n
| 3 \u4e2a\u4ee5\u4e0a\u72ec\u7acb\u80fd\u529b\u9700\u8981\u534f\u4f5c<\/td>\n | \u9002\u5408<\/td>\n<\/tr>\n | ||||||||||||||||||
| \u4efb\u52a1\u95f4\u6709\u660e\u786e\u4f9d\u8d56\u5173\u7cfb<\/td>\n | \u9002\u5408<\/td>\n<\/tr>\n | ||||||||||||||||||
| \u5355\u4e00\u4efb\u52a1\u3001\u5355\u4e00\u80fd\u529b<\/td>\n | \u4e0d\u9002\u5408，\u5355 Agent \u66f4\u9ad8\u6548<\/td>\n<\/tr>\n | ||||||||||||||||||
| \u5b9e\u65f6\u6027\u8981\u6c42 < 100ms<\/td>\n | \u4e0d\u9002\u5408，\u7f16\u6392\u5f00\u9500\u65e0\u6cd5\u63a5\u53d7<\/td>\n<\/tr>\n | ||||||||||||||||||
| Agent \u95f4\u65e0\u72b6\u6001\u4f9d\u8d56<\/td>\n | \u4e0d\u9002\u5408，\u76f4\u63a5\u5e76\u884c\u8c03\u7528\u5373\u53ef<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\u4e94\u3001\u603b\u7ed3<\/h3>\n\u591a Agent \u7f16\u6392\u67b6\u6784\u7684\u672c\u8d28\u662f\u7528"\u5206\u5de5\u534f\u4f5c"\u66ff\u4ee3"\u5355\u70b9\u5168\u80fd"，\u6838\u5fc3\u7ec4\u4ef6\u5305\u62ec\u7f16\u6392\u5668（\u51b3\u7b56\u4e0e\u8c03\u5ea6）\u3001\u72b6\u6001\u7ba1\u7406\u5668（\u4e0a\u4e0b\u6587\u7cbe\u786e\u5206\u53d1）\u548c\u6d88\u606f\u603b\u7ebf（\u5f02\u6b65\u89e3\u8026\u901a\u4fe1）\u3002\u843d\u5730\u65f6\u9700\u8981\u91cd\u70b9\u5173\u6ce8\u4e09\u4e2a\u5de5\u7a0b\u8981\u70b9：\u7b2c\u4e00，\u901a\u8fc7\u62d3\u6251\u6392\u5e8f\u5b9e\u73b0\u5206\u5c42\u5e76\u884c\u6267\u884c，\u6700\u5927\u5316\u541e\u5410；\u7b2c\u4e8c，\u4e0a\u4e0b\u6587\u5207\u7247\u673a\u5236\u907f\u514d\u4fe1\u606f\u566a\u97f3，\u4fdd\u8bc1\u4e0b\u6e38 Agent \u7684\u8f93\u5165\u8d28\u91cf；\u7b2c\u4e09，\u8d85\u65f6\u63a7\u5236\u4e0e\u91cd\u8bd5\u673a\u5236\u4fdd\u969c\u5355 Agent \u6545\u969c\u4e0d\u6269\u6563\u4e3a\u5168\u5c40\u6545\u969c\u3002\u540c\u65f6\u8981\u6e05\u9192\u8ba4\u8bc6\u5230，Agent \u6570\u91cf\u81a8\u80c0\u540e\u4e0a\u4e0b\u6587\u7ec4\u88c5\u5ef6\u8fdf\u3001\u7f16\u6392\u5668\u5355\u70b9\u98ce\u9669\u548c\u610f\u56fe\u6f02\u79fb\u95ee\u9898\u4f1a\u663e\u8457\u52a0\u5267，\u9700\u8981\u5f15\u5165\u4e0a\u4e0b\u6587\u538b\u7f29\u3001\u4e3b\u5907\u5207\u6362\u548c\u610f\u56fe\u7ea6\u675f\u7b49\u914d\u5957\u63aa\u65bd\u3002\u591a Agent \u7f16\u6392\u4e0d\u662f\u6240\u6709\u573a\u666f\u7684\u6700\u4f18\u89e3，\u5f53\u4efb\u52a1\u7b80\u5355\u6216\u5b9e\u65f6\u6027\u8981\u6c42\u6781\u9ad8\u65f6，\u5355 Agent \u6216\u76f4\u63a5\u5e76\u884c\u8c03\u7528\u53cd\u800c\u662f\u66f4\u52a1\u5b9e\u7684\u9009\u62e9\u3002<\/p>\n \n \u8d28\u91cf\u8bc4\u5206<\/h3>\n
|