Custom Integration

npm install @driftos/client

import { createDriftClient } from '@driftos/client';

// Create client (works with both Core and Embed)
const drift = createDriftClient(
  'https://api.driftos.dev/api/v1/embed',
  'YOUR_API_KEY'
);

// Route a message
const result = await drift.route('conv-123', 'I want to plan a trip to Paris');
console.log(result.branchTopic); // "Paris trip planning"

// Get context for LLM
const { system, messages } = await drift.buildPrompt(result.branchId);

// Use with OpenAI
const response = await openai.chat.completions.create({
  model: 'gpt-4',
  messages: [
    { role: 'system', content: system },
    ...messages,
    { role: 'user', content: 'What hotels do you recommend?' }
  ]
});

// Embedding-based routing (fast, local, free)
const embedClient = createDriftClient(
  'https://api.driftos.dev/api/v1/embed',
  'YOUR_API_KEY'
);

// LLM-based routing (more accurate, requires API credits)
const coreClient = createDriftClient(
  'https://api.driftos.dev/api/v1/llm',
  'YOUR_API_KEY'
);

x-api-key: dft_live_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

Authorization: Bearer dft_live_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

Authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...

POST https://api.driftos.dev/api/v1/drift/route

{
  "conversationId": "conv-123",
  "message": "I want to plan a trip to Paris"
}

{
  "action": "BRANCH",
  "branchId": "branch-xyz789",
  "branchTopic": "Paris trip planning",
  "confidence": 0.923
}

GET https://api.driftos.dev/api/v1/drift/context/:branchId

{
  "messages": [
    { "role": "user", "content": "I want to plan a trip to Paris" },
    { "role": "assistant", "content": "I'd be happy to help you plan your Paris trip!" }
  ],
  "systemPrompt": "You are a helpful travel assistant."
}