open-gsio/workers/site/workflows/preprocessing/webOperator.ts

import { WorkflowOperator } from "manifold-workflow-engine";
import { zodResponseFormat } from "openai/helpers/zod";
import { z } from "zod";

const QuerySchema = z.object({
  query: z.string(), // No min/max constraints in the schema
});

export function createSearchWebhookOperator({
  eventHost,
  streamId,
  openai,
  messages,
}) {
  return new WorkflowOperator("web-search", async (state: any) => {
    const { latestUserMessage } = state;

    const websearchWebhookEndpoint = "/api/webhooks";

    const resource = "web-search";
    const input = await getQueryFromContext({
      openai,
      messages,
      latestUserMessage,
    });

    // process webhooks
    const eventSource = new URL(eventHost);
    const url = `${eventSource}api/webhooks`;

    const stream = {
      id: crypto.randomUUID(),
      parent: streamId,
      resource,
      payload: input,
    };
    const createStreamResponse = await fetch(`${eventSource}api/webhooks`, {
      method: "POST",
      headers: {
        "Content-Type": "application/json",
      },
      body: JSON.stringify({
        id: stream.id,
        parent: streamId,
        resource: "web-search",
        payload: {
          input,
        },
      }),
    });
    const raw = await createStreamResponse.text();
    const { stream_url } = JSON.parse(raw);
    const surl = eventHost + stream_url;
    const webhook = { url: surl, id: stream.id, resource };

    return {
      ...state,
      webhook,
      latestUserMessage: "", // unset to break out of loop
      latestAiMessage: "", // unset to break out of loop
    };
  });
}

async function getQueryFromContext({ messages, openai, latestUserMessage }) {
  const systemMessage = {
    role: "system",
    content: `Analyze the latest message in the conversation and generate a JSON object with a single implied question for a web search. The JSON should be structured as follows:

{
  "query": "the question that needs a web search"
}

## Example
{
  "query": "What was the score of the last Buffalo Sabres hockey game?"
}

Focus on the most recent message to determine the query. Output only the JSON object without any additional text.`,
  };

  const conversation = messages.map((m) => ({
    role: m.role,
    content: m.content,
  }));
  conversation.push({ role: "user", content: `${latestUserMessage}` });

  const m = [systemMessage, ...conversation];

  const completion = await openai.beta.chat.completions.parse({
    model: "gpt-4o-mini",
    messages: m,
    temperature: 0,
    response_format: zodResponseFormat(QuerySchema, "query"),
  });

  const { query } = completion.choices[0].message.parsed;

  return query;
}