@orchard9ai/comm9-api-client v1.0.1

@orchard9ai/comm9-api-client

TypeScript client for comm9 LLM routing service with full OpenAI compatibility and provider routing.

Features

• 🔄 Provider Routing - Route requests to specific LLM providers (Ollama, vLLM)
• 🚀 OpenAI Compatible - Drop-in replacement for OpenAI API clients
• 📡 Streaming Support - Real-time chat completions with Server-Sent Events
• 🔧 TypeScript First - Fully typed with auto-generated types from OpenAPI spec
• ⚛️ React Query Ready - Built-in hooks for React applications
• 🌐 Universal - Works in Node.js and browser environments

Installation

npm install @orchard9ai/comm9-api-client

For React applications:

npm install @orchard9ai/comm9-api-client @tanstack/react-query

Quick Start

Configuration

import { configure } from '@orchard9ai/comm9-api-client';

// Configure the client
configure({
  baseURL: 'https://your-comm9-instance.com',
  auth: { type: 'bearer', token: 'your-jwt-token' },
  defaultProvider: 'ollama',
});

Basic Usage

import { createChatCompletion, listModels } from '@orchard9ai/comm9-api-client';

// Chat completion
const response = await createChatCompletion({
  model: 'llama3.2',
  provider: 'ollama', // comm9 extension
  messages: [
    { role: 'user', content: 'Hello!' }
  ],
  max_tokens: 100,
});

// List available models
const models = await listModels();
console.log(models.data); // Array of available models

React Usage

import { useCreateChatCompletion, useListModels } from '@orchard9ai/comm9-api-client';

function ChatComponent() {
  const { mutate: sendMessage, data, isLoading } = useCreateChatCompletion();
  const { data: models } = useListModels();

  const handleSend = () => {
    sendMessage({
      data: {
        model: 'llama3.2',
        provider: 'ollama',
        messages: [{ role: 'user', content: 'Hello!' }],
      }
    });
  };

  return (
    <div>
      <button onClick={handleSend} disabled={isLoading}>
        Send Message
      </button>
      {data && <p>{data.choices[0].message.content}</p>}
    </div>
  );
}

Streaming

import { createStreamingClient } from '@orchard9ai/comm9-api-client';

const streamingClient = createStreamingClient();

// Stream chat completion
const stream = streamingClient.chatCompletionStream({
  model: 'llama3.2',
  provider: 'ollama',
  messages: [{ role: 'user', content: 'Tell me a story' }],
});

for await (const chunk of stream) {
  console.log(chunk.choices[0].delta.content);
}

API Reference

Chat Completions

await createChatCompletion({
  model: 'llama3.2',
  provider: 'ollama', // optional: 'ollama' | 'vllm'
  messages: [
    { role: 'system', content: 'You are a helpful assistant.' },
    { role: 'user', content: 'Hello!' }
  ],
  max_tokens: 100,
  temperature: 0.7,
  stream: false, // set to true for streaming
});

Models

// List all models
const allModels = await listModels();

// List models from specific provider
const ollamaModels = await listModels({ provider: 'ollama' });

Embeddings

const embeddings = await createEmbedding({
  model: 'nomic-embed-text',
  provider: 'ollama',
  input: 'Text to embed',
});

Provider Routing

comm9 extends the OpenAI API with a provider field to route requests to specific LLM providers:

// Route to Ollama
await createChatCompletion({
  model: 'llama3.2',
  provider: 'ollama',
  messages: [{ role: 'user', content: 'Hello' }],
});

// Route to vLLM
await createChatCompletion({
  model: 'microsoft/Phi-4-mini-reasoning',
  provider: 'vllm',
  messages: [{ role: 'user', content: 'Hello' }],
});

// Auto-route (uses first healthy provider)
await createChatCompletion({
  model: 'llama3.2',
  // provider omitted - comm9 will auto-route
  messages: [{ role: 'user', content: 'Hello' }],
});

Authentication

JWT Tokens

import { setDefaultAuth } from '@orchard9ai/comm9-api-client';

setDefaultAuth({ type: 'bearer', token: 'your-jwt-token' });

API Keys

setDefaultAuth({ type: 'apikey', token: 'your-api-key' });

Environment Variables

The client automatically uses these environment variables:

COMM9_API_URL=https://your-comm9-instance.com
COMM9_JWT_TOKEN=your-jwt-token
COMM9_API_KEY=your-api-key
COMM9_DEFAULT_PROVIDER=ollama

Error Handling

The client provides enhanced error handling with comm9-specific error types:

try {
  await createChatCompletion({ /* ... */ });
} catch (error) {
  if (error.name === 'Comm9APIError') {
    console.log(`Error type: ${error.type}`);
    console.log(`Message: ${error.message}`);
    console.log(`Param: ${error.param}`);
    console.log(`Status: ${error.status}`);
  }
}

Type Safety

All request and response types are automatically generated from the OpenAI specification with comm9 extensions:

import type {
  CreateChatCompletionRequest,
  CreateChatCompletionResponse,
  ChatMessage,
  Model,
} from '@orchard9ai/comm9-api-client';

License

MIT

Support

• GitHub Issues
• Documentation