hashbrown

Getting Started

Guide

  1. 1. Basics of AI
  2. 2. System Instructions
  3. 3. Message History
  4. 4. Skillet Schema
  5. 5. Streaming
  6. 6. Tool Calling
  7. 7. Structured Output
  8. 8. Generative UI
  9. 9. JavaScript Runtime

Recipes

  1. Natural Language Forms
  2. UI Chatbot with Tools
  3. UI Kits
  4. Predictive Suggestions
  5. Remote MCP
  6. Threads
  7. Magic Text
  8. JSON Parser
  9. CopilotKit
  10. Local Models

Platforms

Writer

First, install the Writer adapter package:

npm install @hashbrownai/writer

Streaming Text Responses

Hashbrown’s Writer adapter lets you stream chat completions from Writer models, including support for tool calling, response schemas, and request transforms.

API Reference

HashbrownWriter.stream.text(options)

Streams a Writer chat completion as a series of encoded frames. Handles content, tool calls, and errors, and yields each frame as a Uint8Array.

Options:

Name Type Description
apiKey string Your Writer API Key.
request Chat.Api.CompletionCreateParams The chat request: model, messages, tools, system, responseFormat, etc.
transformRequestOptions (params) => params | Promise (Optional) Transform or override the final Writer request before it is sent.

Supported Features:

  • Roles: user, assistant, tool
  • Tools: Supports Writer tool calling, including toolCalls and strict function schemas.
  • Response Format: Optionally specify a JSON schema for structured output (Writer’s response_format parameter).
  • System Prompt: Included as the first message if provided.
  • Tool Calling: Handles Writer tool calling modes and emits tool call frames.
  • Streaming: Each chunk/frame is encoded into a resilient streaming format.

How It Works

  • Messages: Translated to Writer’s message format, supporting all roles and tool calls.
  • Tools/Functions: Tools are passed as function definitions, using your JSON schemas as parameters.
  • Response Format: Pass a JSON schema in responseFormat for Writer to validate the model output.
  • Streaming: All data is sent as a stream of encoded frames (Uint8Array). Chunks may contain text, tool calls, errors, or finish signals.
  • Error Handling: Any thrown errors are sent as error frames before the stream ends.

Example: Node.js Server Integration

import { HashbrownWriter } from '@hashbrownai/writer';
import express from 'express';

const app = express();
app.use(express.json());

app.post('/chat', async (req, res) => {
  const stream = HashbrownWriter.stream.text({
    apiKey: process.env.WRITER_API_KEY!,
    request: req.body, // must be Chat.Api.CompletionCreateParams
  });

  res.header('Content-Type', 'application/octet-stream');

  for await (const chunk of stream) {
    res.write(chunk); // Pipe each encoded frame as it arrives
  }

  res.end();
});

app.listen(3000);
import { HashbrownWriter } from '@hashbrownai/writer';
import Fastify from 'fastify';

const fastify = Fastify();

fastify.post('/chat', async (request, reply) => {
  const stream = HashbrownWriter.stream.text({
    apiKey: process.env.WRITER_API_KEY!,
    request: request.body, // must be Chat.Api.CompletionCreateParams
  });

  reply.header('Content-Type', 'application/octet-stream');

  for await (const chunk of stream) {
    reply.raw.write(chunk); // Pipe each encoded frame as it arrives
  }

  reply.raw.end();
});

fastify.listen({ port: 3000 });
import { Controller, Post, Body, Res } from '@nestjs/common';
import { HashbrownWriter } from '@hashbrownai/writer';
import { Response } from 'express';

@Controller()
export class ChatController {
  @Post('chat')
  async chat(@Body() body: any, @Res() res: Response) {
    const stream = HashbrownWriter.stream.text({
      apiKey: process.env.WRITER_API_KEY!,
      request: body, // must be Chat.Api.CompletionCreateParams
    });

    res.header('Content-Type', 'application/octet-stream');

    for await (const chunk of stream) {
      res.write(chunk); // Pipe each encoded frame as it arrives
    }

    res.end();
  }
}
import { HashbrownWriter } from '@hashbrownai/writer';
import { Hono } from 'hono';

const app = new Hono();

app.post('/chat', async (c) => {
  const body = await c.req.json();

  const stream = HashbrownWriter.stream.text({
    apiKey: process.env.WRITER_API_KEY!,
    request: body, // must be Chat.Api.CompletionCreateParams
  });

  return new Response(
    new ReadableStream({
      async start(controller) {
        for await (const chunk of stream) {
          controller.enqueue(chunk); // Pipe each encoded frame as it arrives
        }
        controller.close();
      },
    }),
    {
      headers: {
        'Content-Type': 'application/octet-stream',
      },
    },
  );
});

export default app;


Transform Request Options

The transformRequestOptions parameter allows you to intercept and modify the request before it's sent to Writer. This is useful for server-side prompts, message filtering, logging, and dynamic configuration.

import { HashbrownWriter } from '@hashbrownai/writer';
import express from 'express';

const app = express();
app.use(express.json());

app.post('/chat', async (req, res) => {
  const stream = HashbrownWriter.stream.text({
    apiKey: process.env.WRITER_API_KEY!,
    request: req.body,
    transformRequestOptions: (options) => {
      return {
        ...options,
        // Add server-side system prompt
        messages: [
          {
            role: 'system',
            content: 'You are a helpful AI writing assistant.',
          },
          ...options.messages,
        ],
        // Adjust parameters based on writing task
        temperature: getUserPreferences(req.user.id).creativity,
      };
    },
  });

  res.header('Content-Type', 'application/octet-stream');

  for await (const chunk of stream) {
    res.write(chunk);
  }

  res.end();
});
import { HashbrownWriter } from '@hashbrownai/writer';
import Fastify from 'fastify';

const fastify = Fastify();

fastify.post('/chat', async (request, reply) => {
  const stream = HashbrownWriter.stream.text({
    apiKey: process.env.WRITER_API_KEY!,
    request: request.body,
    transformRequestOptions: (options) => {
      return {
        ...options,
        // Add server-side system prompt
        messages: [
          {
            role: 'system',
            content: 'You are a helpful AI writing assistant.',
          },
          ...options.messages,
        ],
        // Adjust parameters based on writing task
        temperature: getUserPreferences(request.user.id).creativity,
      };
    },
  });

  reply.header('Content-Type', 'application/octet-stream');

  for await (const chunk of stream) {
    reply.raw.write(chunk);
  }

  reply.raw.end();
});
import { Controller, Post, Body, Res, Req } from '@nestjs/common';
import { HashbrownWriter } from '@hashbrownai/writer';
import { Response, Request } from 'express';

@Controller()
export class ChatController {
  @Post('chat')
  async chat(@Body() body: any, @Req() req: Request, @Res() res: Response) {
    const stream = HashbrownWriter.stream.text({
      apiKey: process.env.WRITER_API_KEY!,
      request: body,
      transformRequestOptions: (options) => {
        return {
          ...options,
          // Add server-side system prompt
          messages: [
            {
              role: 'system',
              content: 'You are a helpful AI writing assistant.',
            },
            ...options.messages,
          ],
          // Adjust parameters based on writing task
          temperature: getUserPreferences(req.user.id).creativity,
        };
      },
    });

    res.header('Content-Type', 'application/octet-stream');

    for await (const chunk of stream) {
      res.write(chunk);
    }

    res.end();
  }
}
import { HashbrownWriter } from '@hashbrownai/writer';
import { Hono } from 'hono';

const app = new Hono();

app.post('/chat', async (c) => {
  const body = await c.req.json();

  const stream = HashbrownWriter.stream.text({
    apiKey: process.env.WRITER_API_KEY!,
    request: body,
    transformRequestOptions: (options) => {
      return {
        ...options,
        // Add server-side system prompt
        messages: [
          {
            role: 'system',
            content: 'You are a helpful AI writing assistant.',
          },
          ...options.messages,
        ],
        // Adjust parameters based on writing task
        temperature: getUserPreferences(c.req.user.id).creativity,
      };
    },
  });

  return new Response(
    new ReadableStream({
      async start(controller) {
        for await (const chunk of stream) {
          controller.enqueue(chunk);
        }
        controller.close();
      },
    }),
    {
      headers: {
        'Content-Type': 'application/octet-stream',
      },
    },
  );
});

Learn more about transformRequestOptions


Advanced: Tools and Response Schema

  • Tools: Add tools using function specs (name, description, parameters) compatible with Writer.
  • Tool Calling: Supported via toolChoice (auto, required, none, etc.).
  • Response Format: Pass a JSON schema in responseFormat for Writer to return validated structured output.
Writer Streaming Text Responses API Reference How It Works Example: Node.js Server Integration Transform Request Options Advanced: Tools and Response Schema