from agents import Runner, trace, gen_trace_id from search_agent import search_agent from planner_agent import planner_agent, WebSearchItem, WebSearchPlan from writer_agent import writer_agent, ReportData from email_agent import email_agent import asyncio class ResearchManager: async def run(self, query: str): """ Run the deep research process, yielding the status updates and the final report""" trace_id = gen_trace_id() with trace("Research trace", trace_id=trace_id): yield f"Starting research. Trace: https://platform.openai.com/traces/trace?trace_id={trace_id}" search_plan = await self.plan_searches(query) yield f"Searches planned, starting {len(search_plan.searches)} searches..." search_results = await self.perform_searches(search_plan) yield "Searches complete, writing report..." report = await self.write_report(query, search_results) yield "Report written, sending email..." await self.send_email(report) yield "Email sent, research complete" yield report.markdown_report async def plan_searches(self, query: str) -> WebSearchPlan: """ Plan the searches to perform for the query """ result = await Runner.run(planner_agent, f"Query: {query}") return result.final_output async def perform_searches(self, search_plan: WebSearchPlan) -> list[str]: """ Perform the searches to perform for the query """ tasks = [self.search(item) for item in search_plan.searches] return await asyncio.gather(*tasks) async def search(self, item: WebSearchItem) -> str | None: """ Perform a search for the query """ input_message = f"Search term: {item.query}\nReason for searching: {item.reason}" return await Runner.run(search_agent, input_message) async def write_report(self, query: str, search_results: list[str]) -> ReportData: """ Write the report for the query """ input_message = f"Original query: {query}\nSummarized search results: {search_results}" result = await Runner.run(writer_agent, input_message) return result.final_output async def send_email(self, report: ReportData) -> None: await Runner.run(email_agent, report.markdown_report)