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import { webSearchTool, Agent, AgentInputItem, Runner, withTrace } from "@openai/agents"; // Tool definitions const webSearchPreview = webSearchTool({ searchContextSize: "medium", userLocation: { type: "approximate" } }) const homepageFaq = new Agent({ name: "Homepage FAQ", instructions: "Bitte suche alle Informationen auf der Webseite https://permasale.de/", model: "gpt-5.4-nano", tools: [ webSearchPreview ], modelSettings: { reasoning: { effort: "low", summary: "auto" }, store: true } }); type WorkflowInput = { input_as_text: string }; // Main code entrypoint export const runWorkflow = async (workflow: WorkflowInput) => { return await withTrace("Permasale FAQ", async () => { const state = { }; const conversationHistory: AgentInputItem[] = [ { role: "user", content: [{ type: "input_text", text: workflow.input_as_text }] } ]; const runner = new Runner({ traceMetadata: { __trace_source__: "agent-builder", workflow_id: "wf_69bba93ea2c48190bfacdfaa07ca895908995bb27205edb4" } }); const homepageFaqResultTemp = await runner.run( homepageFaq, [ ...conversationHistory ] ); conversationHistory.push(...homepageFaqResultTemp.newItems.map((item) => item.rawItem)); if (!homepageFaqResultTemp.finalOutput) { throw new Error("Agent result is undefined"); } const homepageFaqResult = { output_text: homepageFaqResultTemp.finalOutput ?? "" }; }); } Wf_69bba93ea2c48190bfacdfaa07ca895908995bb27205edb4 version="2"