diff --git a/src/langchain_lab/langgraph/marketing_analysis_assistant/marketing_analysis_assistant.py b/src/langchain_lab/langgraph/marketing_analysis_assistant/marketing_analysis_assistant.py index 1227911..183038e 100644 --- a/src/langchain_lab/langgraph/marketing_analysis_assistant/marketing_analysis_assistant.py +++ b/src/langchain_lab/langgraph/marketing_analysis_assistant/marketing_analysis_assistant.py @@ -201,7 +201,7 @@ def run(self): with open(f"sales_analysis_report_{self.model_name}.md", "w") as f: f.write("# 市场部销售智能助手（POC）\n\n") f.write(f"> {self.model_name}\n\n") - f.write(f"```{self.graph.get_graph().draw_ascii()}\n```\n\n") + f.write(f"```\n{self.graph.get_graph().draw_ascii()}\n```\n\n") f.write("![image-20240710141823753](assets/marketing_analysis_assistant.png)\n\n") f.write("## 多代理协商过程\n\n") for s in self.graph.stream( diff --git a/src/langchain_lab/langgraph/network_operations_analysis_assistant/network_operations_analysis_assistant.py b/src/langchain_lab/langgraph/network_operations_analysis_assistant/network_operations_analysis_assistant.py index 64d1c9a..bdaf1ef 100644 --- a/src/langchain_lab/langgraph/network_operations_analysis_assistant/network_operations_analysis_assistant.py +++ b/src/langchain_lab/langgraph/network_operations_analysis_assistant/network_operations_analysis_assistant.py @@ -30,21 +30,30 @@ class NetworkOperationsAnalysisAssistant: def __init__(self, openai_api_base: str, openai_api_key: str, model_name: str, recursion_limit: int = 20): self.model_name = model_name self.recursion_limit = recursion_limit - self.llm = ChatOpenAI(model_name=model_name, openai_api_base=openai_api_base, openai_api_key=openai_api_key, temperature=0.7, request_timeout=600, streaming=True) + self.llm = ChatOpenAI(model_name=model_name, openai_api_base=openai_api_base, openai_api_key=openai_api_key, + temperature=0.000000001, request_timeout=600, streaming=True) + # 网络运营经理 networkOpsManager = self.create_agent( self.llm, - [self.python_repl_tool], + [self.load_data_tool], system_message="负责整体网络运营策略的制定和执行，监控网络性能指标，确保服务质量，解决网络异常和紧急事件。", ) - # 无线网络工程师 - wirelessNetworkEngineer = self.create_agent( + # 数据分析师 + dataAnalyst = self.create_agent( self.llm, - [self.load_data_tool, self.python_repl_tool, self.data_analysis_tool], - system_message="负责根据数据深入挖掘，提供建议并准备可视化报告。", + [self.data_analysis_tool], + system_message="负责从各种数据源中收集、处理、分析数据，并为决策者提供基于数据的洞察和建议。", ) + # 无线网络工程师 + # wirelessNetworkEngineer = self.create_agent( + # self.llm, + # [self.load_data_tool, self.python_repl_tool, self.data_analysis_tool], + # system_message="负责根据数据深入挖掘，提供建议并准备可视化报告。", + # ) + # # IT运营经理 # itOpsManager = self.create_agent( # self.llm, @@ -75,8 +84,13 @@ def __init__(self, openai_api_base: str, openai_api_key: str, model_name: str, r # 定义图 workflow = StateGraph(AgentState) - workflow.add_node("wirelessNetworkEngineer", functools.partial(self.graph_node_agent, agent=wirelessNetworkEngineer, name="wirelessNetworkEngineer")) - workflow.add_node("networkOpsManager", functools.partial(self.graph_node_agent, agent=networkOpsManager, name="networkOpsManager")) + # workflow.add_node("wirelessNetworkEngineer", + # functools.partial(self.graph_node_agent, agent=wirelessNetworkEngineer, + # name="wirelessNetworkEngineer")) + workflow.add_node("networkOpsManager", + functools.partial(self.graph_node_agent, agent=networkOpsManager, name="networkOpsManager")) + workflow.add_node("dataAnalyst", + functools.partial(self.graph_node_agent, agent=dataAnalyst, name="dataAnalyst")) # workflow.add_node("itOpsManager", # functools.partial(self.agent_node, agent=itOpsManager, name="itOpsManager")) # workflow.add_node("customerServiceManager", @@ -87,15 +101,22 @@ def __init__(self, openai_api_base: str, openai_api_key: str, model_name: str, r # functools.partial(self.agent_node, agent=executiveManagement, name="executiveManagement")) workflow.add_node("data_tool", self.graph_node_data_tool) + # workflow.add_conditional_edges( + # "wirelessNetworkEngineer", + # self.graph_node_router, + # {"continue": "networkOpsManager", "data_tool": "data_tool", "end": END}, + # ) + workflow.add_conditional_edges( - "wirelessNetworkEngineer", + "networkOpsManager", self.graph_node_router, - {"continue": "networkOpsManager", "data_tool": "data_tool", "end": END}, + {"continue": "dataAnalyst", "data_tool": "data_tool", "end": END}, ) + workflow.add_conditional_edges( - "networkOpsManager", + "dataAnalyst", self.graph_node_router, - {"continue": "wirelessNetworkEngineer", "data_tool": "data_tool", "end": END}, + {"continue": "networkOpsManager", "data_tool": "data_tool", "end": END}, ) workflow.add_conditional_edges( @@ -103,14 +124,14 @@ def __init__(self, openai_api_base: str, openai_api_key: str, model_name: str, r lambda x: x["sender"], { "networkOpsManager": "networkOpsManager", - "wirelessNetworkEngineer": "wirelessNetworkEngineer", + "dataAnalyst": "dataAnalyst", # "itOpsManager": "itOpsManager", # "customerServiceManager": "customerServiceManager", # "qaTeam": "qaTeam", # "executiveManagement": "executiveManagement", }, ) - workflow.set_entry_point("wirelessNetworkEngineer") + workflow.set_entry_point("networkOpsManager") self.graph = workflow.compile() # from IPython.display import Image @@ -232,7 +253,7 @@ def create_agent(llm, tools, system_message: str): [ ( "system", - "您是一个AI助手，与其他助手合作。" + "您是一个精通电信网络知识的AI助手，与其他助手合作。" "使用提供的工具来逐步回答问题。" "如果您无法完全回答，没关系，另一个使用不同工具的助手将继续帮助您完成。尽力取得进展。" "如果您或其他任何助手有最终答案或可交付成果，" @@ -249,13 +270,13 @@ def create_agent(llm, tools, system_message: str): def run(self): agent_names = { "networkOpsManager": "网络运营经理", - "wirelessNetworkEngineer": "无线网络工程师", + "dataAnalyst": "数据分析师", "data_tool": "数据分析工具", } with open(f"network_operations_analysis_assistant_report_{self.model_name}.md", "w") as f: f.write("# 网络运维智能助手（POC）\n\n") f.write(f"> {self.model_name}\n\n") - f.write(f"```{self.graph.get_graph().draw_ascii()}\n```\n\n") + f.write(f"```\n{self.graph.get_graph().draw_ascii()}\n```\n\n") # f.write("![image-20240710141823753](assets/marketing_analysis_assistant.png)\n\n") f.write("## 多代理协商过程\n\n") for s in self.graph.stream( @@ -263,14 +284,14 @@ def run(self): "messages": [ HumanMessage( content="利用事先准备好的 agent 和 tool 进行会话。" - "会话的主题是'分析总结无线网络统计报表，挖掘数据信息。" - "会话由 wirelessNetworkEngineer 开始。" - "数据分析工具首先加载数据。根据数据生成无线网统计报表的简要分析总结" - "数据分析工具对数据进行基本统计和相关关系分析。并提供基于分析结果的见解。" - "接下来，将数据分析工具给出的分析结果和见解传达给 networkOpsManager，并进行简要分析总结。" - "然后，wirelessNetworkEngineer 和 networkOpsManager 分析结果和见解进行交流，并共发现问题并制定有效措施。" - "wirelessNetworkEngineer 和 networkOpsManager的会话总次数最多为20次。" - "最后，networkOpsManager 在总结所有对话后，从总体概况、异常省份、资源和性能完成率、省份详细表现、文件传输即时率、性能合规率等方面给出综合性总结并结束对话。" + "会话的主题是'分析总结无线网络统计报表，挖掘数据信息。" + "会话由 networkOpsManager 开始。" + "数据分析工具首先加载数据。根据数据生成无线网统计报表的简要分析总结" + "数据分析工具对数据进行基本统计和相关关系分析。并提供基于分析结果的见解。" + "接下来，将数据分析工具给出的分析结果和见解传达给 networkOpsManager，并进行简要分析总结。" + "然后，networkOpsManager 和 dataAnalyst 分析结果和见解进行交流，并共发现问题并制定有效措施。" + "networkOpsManager 和 dataAnalyst。" + "最后，networkOpsManager 在总结所有对话后，从总体概况、异常省份、资源和性能完成率、省份详细表现、文件传输即时率、性能合规率等方面给出综合性总结并结束对话。" ) ], },