@inkeep/ai-sdk-provider

AI SDK provider for Inkeep Agent Framework. This package allows you to use Inkeep agents through the Vercel AI SDK.

Installation

npm install @inkeep/ai-sdk-provider

Usage

Basic Usage

Text Generation

import { generateText } from 'ai';
import { createInkeep } from '@inkeep/ai-sdk-provider';

const inkeep = createInkeep({
  baseURL: proccess.env.INKEEP_AGENTS_RUN_API_URL, // Required
  apiKey: <your-agent-api-key>, // Created in the Agents Dashboard
  headers: { // Optional if you are developing locally and dont want to use an api key
    'x-inkeep-agent-id': 'your-agent-id',
    'x-inkeep-tenant-id': 'your-tenant-id',
    'x-inkeep-project-id': 'your-project-id',
  },
});

const { text } = await generateText({
  model: inkeep(),
  prompt: 'What is the weather in NYC?',
});

console.log(text);

Streaming Responses

import { streamText } from 'ai';
import { createInkeep } from '@inkeep/ai-sdk-provider';

const inkeep = createInkeep({
  baseURL: proccess.env.INKEEP_AGENTS_RUN_API_URL,
  apiKey: <your-agent-api-key>,
  headers: {
    'x-emit-operations': 'true', // Enable tool event streaming
  },
});

const result = await streamText({
  model: inkeep(),
  prompt: 'Plan an event in NYC',
});

for await (const chunk of result.textStream) {
  process.stdout.write(chunk);
}

createInkeep({
  baseURL: string,        // Required. Your agents-run-api URL
  apiKey?: string,        // Optional. Bearer token for authentication
  headers?: Record<string, string>, // Optional. Additional headers
})

Provider Options

Pass options when creating a provider instance:

const provider = inkeep({
  conversationId: 'conv-456',
  headers: { 'user-id': 'user-789' },
});

Additional Options

import { inkeep } from '@inkeep/ai-sdk-provider';
import { generateText } from 'ai';

const result = await generateText({
  model: inkeep({
    conversationId: 'conv-123',
    headers: {
      'user-id': 'user-456',
    },
  }),
  prompt: 'Hello!',
});

Configuration

Provider Settings

When creating a custom provider with createInkeep(), you can configure:

• baseURL - Required. The base URL of your Inkeep agents API (can also be set via INKEEP_AGENTS_RUN_API_URL environment variable)
• apiKey - Your Inkeep API key (can also be set via INKEEP_API_KEY environment variable)
• headers - Additional headers to include in requests

Model Options

When creating a model instance, you can configure:

• conversationId - Conversation ID for multi-turn conversations
• headers - Additional headers for context (validated against agent's context config)

Environment Variables

• INKEEP_AGENTS_RUN_API_URL - Base URL for the Inkeep agents API (unless provided via baseURL option)

Features

• ✅ Text generation (generateText)
• ✅ Streaming responses (streamText)
• ✅ Multi-turn conversations
• ✅ Custom headers for context
• ✅ Authentication with Bearer tokens
• ✅ Tool call observability (with x-emit-operations header)

API Endpoint

This provider communicates with the /run/api/chat endpoint of your Inkeep Agents Run API.

• Non-streaming (generateText): Sends stream: false parameter - returns complete JSON response
• Streaming (streamText): Sends stream: true parameter - returns Vercel AI SDK data stream

The endpoint supports both streaming and non-streaming modes and uses Bearer token authentication.

Tool Call Observability

To receive tool call and tool result events in your stream, include the x-emit-operations: true header:

import { streamText } from 'ai';
import { createInkeep } from '@inkeep/ai-sdk-provider';

const inkeep = createInkeep({
  baseURL: 'https://your-api.example.com',
  apiKey: process.env.INKEEP_API_KEY,
  headers: {
    'x-emit-operations': 'true', // Enable tool event streaming
  },
});

const result = await streamText({
  model: inkeep(),
  prompt: 'Search for recent papers on AI',
});

// Listen for all stream events
for await (const event of result.fullStream) {
  switch (event.type) {
    case 'text-start':
      console.log('📝 Text streaming started');
      break;
    case 'text-delta':
      process.stdout.write(event.delta);
      break;
    case 'text-end':
      console.log('\n📝 Text streaming ended');
      break;
    case 'tool-call':
      console.log(`🔧 Calling tool: ${event.toolName}`);
      console.log(`   Input: ${event.input}`);
      break;
    case 'tool-result':
      console.log(`✅ Tool result from: ${event.toolName}`);
      console.log(`   Output:`, event.result);
      break;
  }
}

Note: Tool events are only emitted when the x-emit-operations: true header is set. Without this header, you'll only receive text lifecycle events (text-start, text-delta, text-end) and the final response.

Supported Stream Events

The provider emits the following AI SDK v2 stream events:

Text Events (always emitted):

• text-start - Marks the beginning of a text stream
• text-delta - Text content chunks as they arrive
• text-end - Marks the end of a text stream

Tool Events (requires x-emit-operations: true header):

• tool-call - Agent is calling a tool
• tool-result - Tool execution completed

Control Events (always emitted):

• finish - Stream completion with usage statistics
• error - Stream error occurred