3.\u667a\u80fd\u5e76\u884c\u5904\u7406<\/strong><\/p>\n\n\n\n\u7528\u6237\u6570\u636e\u8f93\u5165\u540e\uff0c\u62a5\u544a\u751f\u6210 Agent \u8fdb\u5165 conduct_report_prompts \u6d41\u7a0b\uff0c\u6839\u636e\u7528\u6237\u9009\u62e9\u7684\u591a\u6761\u5177\u4f53\u7ec6\u5219\uff0c\u7ec4\u5efa\u5404\u4e2a\u5177\u4f53\u7ec6\u5219\u7684\u62a5\u544a\u751f\u6210 Prompt, \u7136\u540e\u5229\u7528 LangGraph \u7684 Map-reduce \u529f\u80fd\uff0c\u5c06\u591a\u7ec4 Prompt \u5e76\u884c\u53d1\u9001\u5230 gen_topic_report_agent\u3002<\/p>\n\n\n\n
Map-reduce \u53d1\u9001 Prompt \u7684\u4ee3\u7801\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n\n\n\n
def continue_to_gen_report(state: State):<\/code> return [Send(\"gen_topic_report_agent\", {\"topic\": topic,\"user_data\": user_data, \"gen_prompt\": prompt}) for (topic,user_data,prompt) in zip(state[\"topics\"],state['user_datas'],state[\"gen_prompts\"])]<\/code><\/pre>\n\n\n\n4.\u4e3b\u9898\u62a5\u544a\u751f\u6210-\u8bc4\u4f30\u6d41\u7a0b<\/strong><\/p>\n\n\n\ngen_topic_report_agent \u8d1f\u8d23\u751f\u6210\u548c\u8bc4\u4f30\u5404\u4e2a\u7ec6\u5219\u62a5\u544a\uff0c\u6bcf\u4e2a\u7ec6\u5219\u62a5\u544a\u901a\u8fc7\u95ed\u73af\u8bc4\u4f30\u7cfb\u7edf\u786e\u4fdd\u8d28\u91cf\u8fbe\u6807\uff1a<\/p>\n\n\n\n
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\u4ee3\u7801\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n\n\n\n
class GenTopicReportState(TypedDict):<\/code> topic:str<\/code> user_data:str<\/code> gen_prompt: str<\/code> topic_report: str<\/code> eva_result: str<\/code> eva_score: float<\/code>def gen_topic_report(state: GenTopicReportState):<\/code> regen_prompt = ''<\/code> if state['topic_report'] == '' and state['eva_result'] == '':<\/code> regen_prompt = state['gen_prompt']<\/code> else:<\/code> regen_prompt_template = get_prompt_template(step='regen_report',topic=state['topic'])<\/code> regen_prompt = regen_prompt_template.format(topic_report=state['topic_report'],eva_result=state['eva_result'])<\/code> response = model.with_structured_output(TopicReport).invoke(regen_prompt)<\/code> print('gen report response:',response.topic_report)<\/code> return {\"topic_report\": response.topic_report}<\/code>def eva_topic_report(state: GenTopicReportState):<\/code> eva_prompt_template = get_prompt_template(step='eva_report',topic=state['topic'])<\/code> eva_prompt = eva_prompt_template.format(topic_report=state['topic_report'])<\/code> response = model.with_structured_output(TopicEvaResult).invoke(eva_prompt)<\/code> print('eva report response:',response)<\/code> return {\"eva_result\": response.eva_result, \"eva_score\": response.eva_score}<\/code>def route_gen_report(state: GenTopicReportState):<\/code> if float(state[\"eva_score\"]) >= report_score:<\/code> return \"Accepted\"<\/code> elif float(state[\"eva_score\"]) < report_score:<\/code> return \"Rejected + Feedback\"<\/code>gen_topic_report_builder = StateGraph(GenTopicReportState)<\/code>gen_topic_report_builder.add_node(\"gen_topic_report\", gen_topic_report)<\/code>gen_topic_report_builder.add_node(\"eva_topic_report\", eva_topic_report)<\/code>gen_topic_report_builder.add_edge(START, \"gen_topic_report\")<\/code>gen_topic_report_builder.add_edge(\"gen_topic_report\", \"eva_topic_report\")<\/code>gen_topic_report_builder.add_conditional_edges(<\/code> \"eva_topic_report\",<\/code> route_gen_report,<\/code> {<\/code> \"Accepted\": END,<\/code> \"Rejected + Feedback\": \"gen_topic_report\",<\/code> },<\/code>)<\/code>gen_topic_report_agent = gen_topic_report_builder.compile()<\/code><\/code><\/pre>\n\n\n\n\u62a5\u544a\u8bc4\u4f30\u6807\u51c6\u53c2\u8003\u5982\u4e0b\uff1a<\/p>\n\n\n\n\u5f53\u8bbe\u5b9a\u9608\u503c\u7b49\u4e8e 3.5\uff0c\u6700\u7ec8\u7ecf\u591a\u8f6e\u751f\u6210-\u8bc4\u4f30\u6d41\u7a0b\u540e\uff0ctopic \u62a5\u544a\u8bc4\u4f30\u7684\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n\n\n\n\u6700\u7ec8\u8bc4\u4f30\u7ed3\u679c 3.95 \u5206\u5927\u4e8e\u8bbe\u5b9a\u9608\u503c\uff0c\u5f97\u5230\u8be5 topic \u62a5\u544a\uff0c\u9000\u51fa\u8be5 topic \u62a5\u544a\u7684\u751f\u6210-\u8bc4\u4f30\u6d41\u7a0b\u3002<\/p>\n\n\n\n
5.\u62a5\u544a\u6574\u5408\u4e0e\u6700\u7ec8\u8f93\u51fa<\/strong><\/p>\n\n\n\n\u5728\u6240\u6709\u7684 topic \u62a5\u544a\u751f\u6210\u5b8c\u6210\u540e\uff0c\u5c06\u6c47\u603b\u5230 generate_final_report \u8282\u70b9\uff0c\u5c06\u5404\u90e8\u5206\u667a\u80fd\u6574\u5408\u4e3a\u7ed3\u6784\u4e00\u81f4\u3001\u903b\u8f91\u8fde\u8d2f\u7684\u5b8c\u6574 ESG \u62a5\u544a\uff0c\u786e\u4fdd\u5404\u7ae0\u8282\u95f4\u7684\u8854\u63a5\u81ea\u7136\uff0c\u6570\u636e\u5f15\u7528\u4e00\u81f4\uff0c\u5e76\u4fdd\u6301\u6574\u4f53\u98ce\u683c\u7edf\u4e00\u3002<\/p>\n\n\n\n\u62a5\u544a\u8282\u9009\u53c2\u8003\u5982\u4e0b\uff1a<\/p>\n\n\n\n
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