zod-stream v2.0.0

zod-stream

Installation

with pnpm

$ pnpm add zod-stream zod openai

with npm

$ npm install zod-stream zod openai

with bun

$ bun add zod-stream zod openai

Basic Usage

Creating an endpoint that calls OpenAI with a defined response model. (Next.js app router, route handler example)

/api/get-stream

  import { OAIStream } from "zod-stream/OAIStream"
  import { withResponseModel } from "zod-stream/response-model"

  import OpenAI from "openai"
  import { z } from "zod"

  const oai = new OpenAI({
    apiKey: process.env["OPENAI_API_KEY"] ?? undefined,
    organization: process.env["OPENAI_ORG_ID"] ?? undefined
  })

export async function POST(request: Request) {
  const { messages } = await request.json()

  const params = withResponseModel({
    response_model: { schema: z.object({ content: z.string() }), name: "Content response" },
    params: {
      messages,
      model: "gpt-4"
    },
    mode: "TOOLS"
  })

  const extractionStream = await oai.chat.completions.create({
    ...params,
    stream: true
  })

  return new Response(
    OAIStream({
      res: extractionStream
    })
  )
}

Consuming the structured stream elsewhere, maybe in the browser.

  const client = new ZodStream()

  const stream = await client.create({
    completionPromise: async () => {
      const response = fetch("/api/get-stream", {
        body: JSON.stringify({ messages: [] }),
        method: "POST"
      })

      return response.body
    },
    response_model: { // should match model expected to be returned by the completion.
      schema: z.object({
        content: z.string()
      })
    }
  })

  for await (const chunk of extractionStream) {
    console.log(chunk) // safe to parse partial json
  }