@orka-js/anthropic

Anthropic adapter for OrkaJS — Claude 4, Claude 3.5, streaming, and cost tracking.

Installation

npm install @orka-js/anthropic

Quick Start

import { AnthropicAdapter } from '@orka-js/anthropic'
import { Orka } from '@orka-js/core'

const llm = new AnthropicAdapter({
  apiKey: process.env.ANTHROPIC_API_KEY!,
  model: 'claude-sonnet-4-6',
})

const orka = new Orka({ llm })

const response = await orka.chat([
  { role: 'user', content: 'Hello!' }
])
console.log(response.content)

Streaming

const stream = await llm.stream([
  { role: 'user', content: 'Tell me a story' }
])

for await (const chunk of stream) {
  process.stdout.write(chunk.delta ?? '')
}

Configuration

| Option | Type | Default | Description | |--------|------|---------|-------------| | apiKey | string | — | Anthropic API key (required) | | model | string | 'claude-sonnet-4-6' | Model to use | | temperature | number | 0.7 | Sampling temperature (0–1) | | maxTokens | number | 4096 | Max tokens in response |

Supported Models

| Model | Description | |-------|-------------| | claude-opus-4-6 | Most powerful, best for complex tasks | | claude-sonnet-4-6 | Balanced performance and speed | | claude-haiku-4-5 | Fastest and most compact | | claude-3-5-sonnet-20241022 | Claude 3.5 Sonnet | | claude-3-opus-20240229 | Claude 3 Opus | | claude-3-haiku-20240307 | Claude 3 Haiku |

API

AnthropicAdapter

const adapter = new AnthropicAdapter(config)

adapter.chat(messages: ChatMessage[])   // Promise<ChatResponse>
adapter.stream(messages: ChatMessage[]) // AsyncIterable<StreamEvent>

Implements: LLMAdapter, StreamingLLMAdapter

Related Packages

• @orka-js/core — Core types and LLMAdapter interface
• @orka-js/openai — OpenAI adapter
• orkajs — Full bundle