2024 \u5e74\u521d\u6211\u4eec\u7684 AI \u5e94\u7528\u8fd8\u53ea\u6709\u4e00\u4e2a Agent \u2014 \u4e00\u4e2a\u667a\u80fd\u5ba2\u670d\u673a\u5668\u4eba\u3002\u7528\u4e86\u5927\u534a\u5e74\u53cd\u54cd\u4e0d\u9519，\u4e1a\u52a1\u90e8\u95e8\u5f00\u59cb\u6765\u63d0\u9700\u6c42：\u6cd5\u52a1\u8981\u4e00\u4e2a\u5408\u540c\u5ba1\u67e5 Agent\u3001HR \u8981\u4e00\u4e2a\u7b80\u5386\u7b5b\u9009 Agent\u3001\u8fd0\u8425\u8981\u4e00\u4e2a\u5185\u5bb9\u5ba1\u6838 Agent\u3002\u8d77\u521d\u6211\u4eec\u5f88\u4e50\u89c2\u2014\u2014\u628a\u7b2c\u4e00\u4e2a Agent \u7684\u4ee3\u7801 copy-paste \u4e00\u4efd，\u6539\u6539 Prompt \u548c Tool \u4e0d\u5c31\u884c\u4e86？<\/p>\n
\u4e00\u4e2a\u6708\u540e\u6211\u4eec\u5c31\u7b11\u4e0d\u51fa\u6765\u4e86\u30024 \u4e2a Agent \u5404\u81ea\u7ef4\u62a4\u4e00\u5957\u4ee3\u7801，LLM \u8c03\u7528\u903b\u8f91\u3001\u9519\u8bef\u5904\u7406\u3001\u65e5\u5fd7\u91c7\u96c6\u5168\u90e8\u91cd\u590d\u3002Prompt \u6a21\u677f\u6563\u843d\u5728 4 \u4e2a\u4e0d\u540c\u7684 repo \u91cc，\u60f3\u7edf\u4e00\u5347\u7ea7\u6a21\u578b\u7248\u672c？\u6bcf\u4e2a Agent \u90fd\u8981\u5355\u72ec\u6539\u914d\u7f6e\u3001\u5355\u72ec\u90e8\u7f72\u3002\u66f4\u5934\u75bc\u7684\u662f Tool \u7684\u590d\u7528\u2014\u2014\u5408\u540c\u5ba1\u67e5\u548c\u7b80\u5386\u7b5b\u9009\u90fd\u9700\u8981"\u6587\u6863\u89e3\u6790"\u8fd9\u4e2a\u80fd\u529b，\u4f46\u5404\u81ea\u7684\u5b9e\u73b0\u65b9\u5f0f\u5b8c\u5168\u4e0d\u540c，\u4e00\u4efd PDF \u5728\u4e24\u4e2a Agent \u91cc\u89e3\u6790\u51fa\u6765\u7684\u6587\u672c\u7ed3\u6784\u90fd\u4e0d\u4e00\u6837\u3002<\/p>\n
\u7ec4\u7ec7\u5c42\u9762\u7684\u6311\u6218\u66f4\u9690\u853d\u3002Agent \u7684\u5f00\u53d1\u8005\u662f\u5404\u4e1a\u52a1\u7ebf\u7684\u5de5\u7a0b\u5e08，\u4ed6\u4eec\u5bf9 Prompt \u5de5\u7a0b\u548c LLM \u63a8\u7406\u7684\u7406\u89e3\u7a0b\u5ea6\u53c2\u5dee\u4e0d\u9f50\u3002\u6cd5\u52a1\u56e2\u961f\u5199\u7684 Agent \u5728\u8f93\u5165\u5f02\u5e38\u65f6\u4f1a\u76f4\u63a5\u629b unhandled exception，\u8fd0\u8425\u56e2\u961f\u5199\u7684 Agent \u6ca1\u6709\u505a\u4efb\u4f55 token \u7528\u91cf\u7edf\u8ba1\u2014\u2014\u6708\u672b\u5bf9\u8d26\u5355\u65f6\u624d\u53d1\u73b0\u4e00\u4e2a Agent \u4e00\u4e2a\u6708\u70e7\u6389\u4e86 2000 \u7f8e\u5143\u7684 API \u8d39\u7528\u3002<\/p>\n
\u5355\u4f53 Agent \u5728\u9a8c\u8bc1 PMF \u9636\u6bb5\u6ca1\u95ee\u9898，\u4f46\u5f53 Agent \u6570\u91cf\u4ece 1 \u53d8\u6210 N \u65f6，\u5171\u4eab\u80fd\u529b\u5fc5\u987b\u5e73\u53f0\u5316\u3001\u6cbb\u7406\u89c4\u5219\u5fc5\u987b\u6807\u51c6\u5316\u3001\u5f00\u53d1\u4f53\u9a8c\u5fc5\u987b\u5de5\u5177\u5316\u3002\u8fd9\u5c31\u662f\u5355\u4f53\u5230\u5e73\u53f0\u7684\u8fc1\u79fb\u3002<\/p>\n
\u4ece\u5355\u4f53\u5230\u5e73\u53f0\u7684\u67b6\u6784\u6f14\u8fdb，\u6838\u5fc3\u662f\u628a Agent \u7684\u5171\u6027\u80fd\u529b\u62bd\u79bb\u4e3a\u5e73\u53f0\u5c42，\u628a\u4e1a\u52a1\u5dee\u5f02\u5c01\u88c5\u4e3a\u53ef\u63d2\u62d4\u7684\u914d\u7f6e\u548c\u63d2\u4ef6：<\/p>\n
\u5e73\u53f0\u5c42\u7684\u516d\u4e2a\u6a21\u5757\u5404\u53f8\u5176\u804c：<\/p>\n
import asyncio
\nimport logging
\nimport time
\nfrom abc import ABC, abstractmethod
\nfrom dataclasses import dataclass, field
\nfrom enum import Enum
\nfrom typing import Any, Optional, Protocol<\/p>\n
from pydantic import BaseModel, Field, ValidationError<\/p>\n
logging.basicConfig(level=logging.INFO)
\nlogger = logging.getLogger(__name__)<\/p>\n
# \u2500\u2500 Tool \u6ce8\u518c\u4e2d\u5fc3 \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/p>\n
class ToolProtocol(Protocol):
\n """Tool \u63a5\u53e3\u534f\u8bae"""
\n name: str
\n version: str<\/p>\n
async def execute(self, **kwargs) -> dict: …<\/p>\n
class ToolRegistry:
\n """\u5168\u5c40 Tool \u6ce8\u518c\u4e2d\u5fc3"""<\/p>\n
_tools: dict[str, dict[str, type]] = {} # {name: {version: ToolClass}}<\/p>\n
@classmethod
\n def register(cls, tool_cls: type, version: str = "v1"):
\n tool_name = getattr(tool_cls, "name", tool_cls.__name__)
\n if tool_name not in cls._tools:
\n cls._tools[tool_name] = {}
\n cls._tools[tool_name][version] = tool_cls
\n logger.info(f"Tool \u6ce8\u518c: {tool_name}@{version}")<\/p>\n
@classmethod
\n def get(cls, name: str, version: str = "v1") -> type:
\n versions = cls._tools.get(name, {})
\n if version not in versions:
\n available = list(versions.keys())
\n raise ValueError(f"Tool {name}@{version} \u4e0d\u5b58\u5728，\u53ef\u7528: {available}")
\n return versions[version]<\/p>\n
@classmethod
\n def list_tools(cls) -> list[dict]:
\n return [
\n {"name": name, "versions": list(versions.keys())}
\n for name, versions in cls._tools.items()
\n ]<\/p>\n
# \u2500\u2500 Prompt \u7ba1\u7406\u670d\u52a1 \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/p>\n
class PromptTemplate(BaseModel):
\n """Prompt \u6a21\u677f"""
\n name: str
\n version: str
\n system_prompt: str
\n user_prompt_template: str
\n variables: list[str] = Field(default_factory=list)
\n metadata: dict = Field(default_factory=dict)<\/p>\n
def render(self, **kwargs) -> dict[str, str]:
\n try:
\n system = self.system_prompt.format(**kwargs)
\n user = self.user_prompt_template.format(**kwargs)
\n except KeyError as e:
\n raise ValueError(f"Prompt \u53d8\u91cf\u7f3a\u5931: {e}")
\n return {"system": system, "user": user}<\/p>\n
class PromptManager:
\n """\u96c6\u4e2d\u5f0f Prompt \u7ba1\u7406"""<\/p>\n
_prompts: dict[str, dict[str, PromptTemplate]] = {}<\/p>\n
@classmethod
\n def register(cls, prompt: PromptTemplate):
\n if prompt.name not in cls._prompts:
\n cls._prompts[prompt.name] = {}
\n cls._prompts[prompt.name][prompt.version] = prompt<\/p>\n
@classmethod
\n def get(cls, name: str, version: str = "v1") -> PromptTemplate:
\n versions = cls._prompts.get(name, {})
\n if version not in versions:
\n raise ValueError(f"Prompt {name}@{version} \u4e0d\u5b58\u5728")
\n return versions[version]<\/p>\n
# \u2500\u2500 Agent \u914d\u7f6e（\u58f0\u660e\u5f0f\u5b9a\u4e49） \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/p>\n
class AgentConfig(BaseModel):
\n """\u4e1a\u52a1 Agent \u7684\u58f0\u660e\u5f0f\u914d\u7f6e"""
\n agent_id: str
\n name: str
\n description: str = ""
\n prompt_name: str
\n prompt_version: str = "v1"
\n tools: list[dict] = Field(default_factory=list) # [{name, version}]
\n llm_model: str = "gpt-4o-mini"
\n temperature: float = 0.0
\n max_iterations: int = 10
\n max_tokens: int = 4096
\n error_budget: int = 3
\n owner: str = ""
\n sla_target_ms: int = 5000 # P95 \u5ef6\u8fdf\u76ee\u6807<\/p>\n
# \u2500\u2500 Agent \u8fd0\u884c\u65f6\u5f15\u64ce \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/p>\n
class AgentRuntime:
\n """\u6807\u51c6\u5316\u7684 Agent \u8fd0\u884c\u65f6"""<\/p>\n
def __init__(self, config: AgentConfig):
\n self.config = config
\n self._tools: dict[str, Any] = {}
\n self._prompt: Optional[PromptTemplate] = None
\n self._init_time = time.time()
\n self._call_count = 0
\n self._total_tokens = 0<\/p>\n
async def _load_prompt(self):
\n """\u4ece PromptManager \u52a0\u8f7d Prompt \u6a21\u677f"""
\n try:
\n self._prompt = PromptManager.get(
\n self.config.prompt_name, self.config.prompt_version
\n )
\n except ValueError as e:
\n logger.error(f"Prompt \u52a0\u8f7d\u5931\u8d25 {self.config.agent_id}: {e}")
\n raise<\/p>\n
async def _load_tools(self):
\n """\u4ece ToolRegistry \u52a0\u8f7d\u58f0\u660e\u5f0f\u5f15\u7528\u7684 Tool"""
\n for tool_ref in self.config.tools:
\n name = tool_ref["name"]
\n version = tool_ref.get("version", "v1")
\n try:
\n tool_cls = ToolRegistry.get(name, version)
\n self._tools[name] = tool_cls()
\n except ValueError as e:
\n logger.error(f"Tool \u52a0\u8f7d\u5931\u8d25 {self.config.agent_id}\/{name}: {e}")
\n raise<\/p>\n
async def initialize(self):
\n """\u521d\u59cb\u5316 Agent（\u52a0\u8f7d Prompt \u548c Tool）"""
\n await asyncio.gather(self._load_prompt(), self._load_tools())
\n logger.info(f"Agent [{self.config.agent_id}] \u521d\u59cb\u5316\u5b8c\u6210, tools={list(self._tools.keys())}")<\/p>\n
async def execute(self, user_input: str, context: Optional[dict] = None) -> dict:
\n """\u6267\u884c\u4e00\u6b21 Agent \u5bf9\u8bdd"""
\n start_time = time.time()
\n self._call_count += 1<\/p>\n
try:
\n if self._prompt is None:
\n raise RuntimeError("Agent \u672a\u521d\u59cb\u5316")<\/p>\n
# \u6e32\u67d3 Prompt
\n render_vars = {"user_input": user_input, **(context or {})}
\n rendered = self._prompt.render(**render_vars)<\/p>\n
# \u6784\u9020 Tool \u63cf\u8ff0\u7ed9 LLM
\n tool_descriptions = "\\\\n".join(
\n f"- {name}: {getattr(tool, 'description', 'no description')}"
\n for name, tool in self._tools.items()
\n )<\/p>\n
# \u6a21\u62df LLM \u8c03\u7528（\u5b9e\u9645\u5e94\u8d70 LLM Gateway）
\n response = (
\n f"[{self.config.agent_id}] \u6536\u5230: {user_input}\\\\n"
\n f"\u53ef\u7528\u5de5\u5177: {tool_descriptions}\\\\n"
\n f"\u7cfb\u7edf\u6307\u4ee4: {rendered['system'][:100]}…"
\n )<\/p>\n
# \u6a21\u62df token \u7edf\u8ba1
\n estimated_tokens = len(user_input) + len(rendered["system"])
\n self._total_tokens += estimated_tokens<\/p>\n
elapsed_ms = (time.time() – start_time) * 1000
\n sla_breach = elapsed_ms > self.config.sla_target_ms<\/p>\n
return {
\n "agent_id": self.config.agent_id,
\n "response": response,
\n "elapsed_ms": elapsed_ms,
\n "tokens_used": estimated_tokens,
\n "tool_calls": len(self._tools),
\n "sla_breach": sla_breach,
\n }
\n except Exception as e:
\n elapsed_ms = (time.time() – start_time) * 1000
\n logger.exception(f"Agent [{self.config.agent_id}] \u6267\u884c\u5f02\u5e38: {e}")
\n return {
\n "agent_id": self.config.agent_id,
\n "error": str(e),
\n "elapsed_ms": elapsed_ms,
\n "sla_breach": elapsed_ms > self.config.sla_target_ms,
\n }<\/p>\n
def get_stats(self) -> dict:
\n return {
\n "agent_id": self.config.agent_id,
\n "uptime_seconds": time.time() – self._init_time,
\n "call_count": self._call_count,
\n "total_tokens": self._total_tokens,
\n }<\/p>\n
# \u2500\u2500 \u5e73\u53f0\u5165\u53e3 \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/p>\n
class AgentPlatform:
\n """Agent \u5e73\u53f0\u4e3b\u63a7"""<\/p>\n
def __init__(self):
\n self._agents: dict[str, AgentRuntime] = {}<\/p>\n
async def deploy_agent(self, config: AgentConfig) -> AgentRuntime:
\n """\u90e8\u7f72\u4e00\u4e2a Agent"""
\n if config.agent_id in self._agents:
\n raise ValueError(f"Agent {config.agent_id} \u5df2\u5b58\u5728")<\/p>\n
runtime = AgentRuntime(config)
\n await runtime.initialize()
\n self._agents[config.agent_id] = runtime
\n logger.info(f"Agent [{config.agent_id}] \u5df2\u90e8\u7f72")
\n return runtime<\/p>\n
async def stop_agent(self, agent_id: str):
\n if agent_id not in self._agents:
\n raise ValueError(f"Agent {agent_id} \u4e0d\u5b58\u5728")
\n stats = self._agents[agent_id].get_stats()
\n del self._agents[agent_id]
\n logger.info(f"Agent [{agent_id}] \u5df2\u505c\u6b62, stats={stats}")<\/p>\n
async def execute(self, agent_id: str, user_input: str, context: Optional[dict] = None) -> dict:
\n if agent_id not in self._agents:
\n raise ValueError(f"Agent {agent_id} \u672a\u90e8\u7f72")
\n return await self._agents[agent_id].execute(user_input, context)<\/p>\n
def list_agents(self) -> list[dict]:
\n return [
\n {"agent_id": aid, **agent.get_stats()}
\n for aid, agent in self._agents.items()
\n ]<\/p>\n
# \u2500\u2500 \u4f7f\u7528\u793a\u4f8b \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/p>\n
async def main():
\n # \u6ce8\u518c\u5171\u4eab Tool
\n class DocumentParser:
\n name = "document_parser"
\n version = "v1"
\n description = "\u89e3\u6790 PDF\/Word \u6587\u6863\u4e3a\u7ed3\u6784\u5316\u6587\u672c"
\n async def execute(self, **kwargs) -> dict:
\n return {"text": "\u6a21\u62df\u6587\u6863\u89e3\u6790\u7ed3\u679c…"}<\/p>\n
class WebSearch:
\n name = "web_search"
\n version = "v1"
\n description = "\u641c\u7d22\u4e92\u8054\u7f51\u4fe1\u606f"
\n async def execute(self, **kwargs) -> dict:
\n return {"results": "\u6a21\u62df\u641c\u7d22\u7ed3\u679c…"}<\/p>\n
ToolRegistry.register(DocumentParser, "v1")
\n ToolRegistry.register(WebSearch, "v1")<\/p>\n
# \u6ce8\u518c Prompt \u6a21\u677f
\n PromptManager.register(PromptTemplate(
\n name="customer_service",
\n version="v1",
\n system_prompt="\u4f60\u662f\u5ba2\u670d\u52a9\u624b，\u8bf7\u53cb\u597d\u5730\u56de\u7b54\u7528\u6237\u95ee\u9898\u3002",
\n user_prompt_template="\u7528\u6237\u95ee\u9898：{user_input}",
\n variables=["user_input"],
\n ))
\n PromptManager.register(PromptTemplate(
\n name="contract_review",
\n version="v1",
\n system_prompt="\u4f60\u662f\u6cd5\u52a1\u5ba1\u67e5\u52a9\u624b，\u8bf7\u68c0\u67e5\u5408\u540c\u6761\u6b3e\u7684\u5408\u89c4\u6027\u3002",
\n user_prompt_template="\u5408\u540c\u5185\u5bb9：{user_input}",
\n variables=["user_input"],
\n ))<\/p>\n
# \u521b\u5efa\u5e73\u53f0
\n platform = AgentPlatform()<\/p>\n
# \u90e8\u7f72\u4e24\u4e2a\u4e1a\u52a1 Agent（\u53ea\u9700\u8981\u914d\u7f6e，zero \u4ee3\u7801\u590d\u5236）
\n service_agent = AgentConfig(
\n agent_id="customer-service-v1",
\n name="\u667a\u80fd\u5ba2\u670d",
\n prompt_name="customer_service",
\n prompt_version="v1",
\n tools=[{"name": "web_search", "version": "v1"}],
\n llm_model="gpt-4o-mini",
\n owner="\u5ba2\u670d\u56e2\u961f",
\n )<\/p>\n
legal_agent = AgentConfig(
\n agent_id="contract-review-v1",
\n name="\u5408\u540c\u5ba1\u67e5",
\n prompt_name="contract_review",
\n prompt_version="v1",
\n tools=[{"name": "document_parser", "version": "v1"}],
\n llm_model="gpt-4o",
\n owner="\u6cd5\u52a1\u56e2\u961f",
\n )<\/p>\n
try:
\n await platform.deploy_agent(service_agent)
\n await platform.deploy_agent(legal_agent)<\/p>\n
# \u6267\u884c
\n result = await platform.execute("customer-service-v1", "\u6211\u7684\u8ba2\u5355\u600e\u4e48\u8fd8\u6ca1\u53d1\u8d27？")
\n logger.info(f"\u5ba2\u670d\u56de\u590d: {result['response'][:100]}")<\/p>\n
result = await platform.execute("contract-review-v1", "\u8bf7\u5ba1\u67e5\u8fd9\u4efd\u91c7\u8d2d\u5408\u540c\u7684\u4ed8\u6b3e\u6761\u6b3e")
\n logger.info(f"\u6cd5\u52a1\u56de\u590d: {result['response'][:100]}")<\/p>\n
# \u67e5\u770b\u5e73\u53f0\u72b6\u6001
\n agents = platform.list_agents()
\n for a in agents:
\n logger.info(f"Agent: {a['agent_id']}, \u8c03\u7528: {a['call_count']}, tokens: {a['total_tokens']}")<\/p>\n
except ValueError as e:
\n logger.error(f"\u90e8\u7f72\u5931\u8d25: {e}")
\n except Exception as e:
\n logger.exception(f"\u672a\u9884\u671f\u9519\u8bef: {e}")<\/p>\n
if __name__ == "__main__":
\n asyncio.run(main())<\/p>\n
\u5e73\u53f0\u5316 vs \u7075\u6d3b\u6027：\u5e73\u53f0\u5316\u4e4b\u540e，Agent \u5f00\u53d1\u8005\u53ea\u80fd\u901a\u8fc7\u58f0\u660e\u5f0f\u914d\u7f6e\u6765\u5b9a\u5236\u884c\u4e3a，\u4e0d\u80fd\u50cf\u4ee5\u524d\u90a3\u6837\u5728\u4ee3\u7801\u91cc\u968f\u610f\u63d2 Hook\u3002\u8fd9\u5bf9 80% \u7684\u7b80\u5355 Agent（\u5ba2\u670d\u3001FAQ\u3001\u5b57\u6bb5\u63d0\u53d6）\u6765\u8bf4\u662f\u8db3\u591f\u7684，\u5bf9 20% \u7684\u590d\u6742 Agent（\u591a\u6b65\u63a8\u7406\u3001\u81ea\u5b9a\u4e49\u7f16\u6392）\u6765\u8bf4\u4e0d\u591f\u3002\u89e3\u51b3\u65b9\u6848\u662f\u63d0\u4f9b"\u5e73\u53f0\u57fa\u7c7b + \u81ea\u5b9a\u4e49\u6269\u5c55\u70b9"\u2014\u2014\u4fdd\u7559\u4e00\u4e2a on_pre_execute \u548c on_post_execute \u7684\u94a9\u5b50\u65b9\u6cd5，\u5141\u8bb8\u4e1a\u52a1\u65b9\u6ce8\u5165\u81ea\u5df1\u7684\u903b\u8f91\u3002<\/p>\n
Tool \u6ce8\u518c\u4e2d\u5fc3\u7684\u7248\u672c\u7ba1\u7406：Tool \u5347\u7ea7\u7248\u672c\u540e（\u6bd4\u5982 DocumentParser v1\u2192v2），\u5df2\u6709\u7684 Agent \u662f\u7ee7\u7eed\u7528 v1 \u8fd8\u662f\u81ea\u52a8\u5207\u5230 v2？\u5efa\u8bae\u9ed8\u8ba4\u4fdd\u6301 v1，\u5141\u8bb8 Agent \u914d\u7f6e\u4e2d\u663e\u5f0f\u58f0\u660e\u7248\u672c，\u540c\u65f6\u5e73\u53f0\u4fa7\u63d0\u4f9b\u7070\u5ea6\u8fc1\u79fb\u5de5\u5177\u2014\u2014\u5148\u5207 10% \u6d41\u91cf\u5230 v2 \u89c2\u5bdf\u4e00\u5468，\u786e\u8ba4\u65e0\u5f02\u5e38\u518d\u5168\u91cf\u3002<\/p>\n
\u4e1a\u52a1\u56e2\u961f\u7684\u6280\u672f\u80fd\u529b\u5dee\u5f02：\u6cd5\u52a1\u5de5\u7a0b\u5e08\u5199\u7684 Prompt \u548c AI \u5de5\u7a0b\u5e08\u5199\u7684 Prompt \u8d28\u91cf\u5dee\u8ddd\u5de8\u5927\u3002\u5e73\u53f0\u4fa7\u5e94\u8be5\u63d0\u4f9b Prompt Playground \u548c\u8bc4\u4f30\u5de5\u5177，\u8ba9\u975e AI \u80cc\u666f\u7684\u5de5\u7a0b\u5e08\u4e5f\u80fd\u53ef\u89c6\u5316\u5730\u8c03\u8bd5 Prompt \u6548\u679c，\u800c\u4e0d\u662f\u5728 .yaml \u6587\u4ef6\u91cc\u76f2\u5199\u3002<\/p>\n
\u6210\u672c\u63a7\u5236\u7684\u6311\u6218：\u5e73\u53f0\u5316\u4e4b\u540e，Token \u6d88\u8d39\u53d8\u6210\u4e86\u5404\u4e1a\u52a1\u56e2\u961f\u72ec\u7acb\u7684\u884c\u4e3a，\u5e73\u53f0\u5c42\u5fc5\u987b\u63d0\u4f9b\u9884\u7b97\u63a7\u5236\u3002\u6700\u7b80\u5355\u7684\u505a\u6cd5\u662f\u6309 Agent \u8bbe\u7f6e\u6708\u5ea6 Token \u914d\u989d，\u8fbe\u5230 80% \u65f6\u53d1\u9884\u8b66\u3001100% \u65f6\u81ea\u52a8\u9650\u6d41\u3002\u8fd9\u79cd"\u7ed9\u4f60\u81ea\u7531\u4f46\u7ed9\u4f60\u9884\u7b97"\u7684\u6a21\u5f0f\u6bd4\u4e2d\u592e\u7ba1\u63a7\u66f4\u5bb9\u6613\u88ab\u4e1a\u52a1\u56e2\u961f\u63a5\u53d7\u3002<\/p>\n
\u4ece\u5355\u4f53\u5230\u5e73\u53f0\u7684\u8fc1\u79fb，\u4ee3\u7801\u5c42\u9762\u7684\u5de5\u4f5c\u91cf\u5176\u5b9e\u53ea\u5360 30%，\u5269\u4e0b 70% \u662f\u7ec4\u7ec7\u534f\u8c03\u2014\u2014\u8bf4\u670d\u4e1a\u52a1\u56e2\u961f\u63a5\u53d7\u5171\u4eab\u80fd\u529b\u800c\u975e\u5404\u81ea\u9020\u8f6e\u5b50\u3001\u5efa\u7acb Prompt \u548c Tool \u7684\u6cbb\u7406\u89c4\u8303\u3001\u63d0\u4f9b\u591f\u597d\u7528\u7684\u5f00\u53d1\u8005\u5de5\u5177\u964d\u4f4e\u4f7f\u7528\u95e8\u69db\u3002\u6280\u672f\u4e0a\u5c31\u4e00\u53e5\u8bdd：\u628a Agent \u4ece\u4ee3\u7801\u53d8\u6210\u914d\u7f6e，\u8ba9\u65b0\u5efa\u4e00\u4e2a Agent \u7684\u65f6\u95f4\u4ece\u5929\u7ea7\u964d\u5230\u5206\u949f\u7ea7\u3002\u8dd1\u8d77\u6765\u4e4b\u540e\u6700\u5927\u7684\u611f\u53d7\u662f：\u7ec8\u4e8e\u4e0d\u7528\u5728 4 \u4e2a repo \u4e4b\u95f4\u6765\u56de\u5207\u6539\u540c\u4e00\u884c LLM \u8c03\u7528\u7684\u53c2\u6570\u4e86\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u4ece\u5355\u4f53 Agent \u5230 Agent \u5e73\u53f0：\u4e00\u6b21\u67b6\u6784\u8fc1\u79fb\u7684\u6280\u672f\u65b9\u6848\u548c\u7ec4\u7ec7\u6311\u6218
\n\u4e00\u3001\u6df1\u5ea6\u5f15\u8a00\u4e0e\u573a\u666f\u75db\u70b9
\n2024 \u5e74\u521d\u6211\u4eec\u7684 AI \u5e94\u7528\u8fd8\u53ea\u6709\u4e00\u4e2a Agent \u2014 \u4e00\u4e2a\u667a\u80fd\u5ba2\u670d\u673a\u5668\u4eba\u3002\u7528\u4e86\u5927\u534a\u5e74\u53cd\u54cd\u4e0d\u9519，\u4e1a\u52a1\u90e8\u95e8\u5f00\u59cb\u6765\u63d0\u9700\u6c42：\u6cd5\u52a1\u8981\u4e00\u4e2a\u5408\u540c\u5ba1\u67e5 Agent\u3001HR \u8981\u4e00\u4e2a\u7b80\u5386\u7b5b\u9009 Agent\u3001\u8fd0\u8425\u8981\u4e00\u4e2a\u5185\u5bb9\u5ba1\u6838 Agent\u3002\u8d77\u521d\u6211\u4eec\u5f88\u4e50\u89c2\u2014\u2014\u628a\u7b2c\u4e00\u4e2a Agent \u7684\u4ee3\u7801 copy-paste \u4e00\u4efd，\u6539\u6539 Prompt \u548c To<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[50],"topic":[],"class_list":["post-85117","post","type-post","status-publish","format-standard","hentry","category-server","tag-50"],"yoast_head":"\n