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@memberjunction/ai-anthropic

MemberJunction AI provider for Anthropic's Claude models. Implements the BaseLLM interface from @memberjunction/ai, supporting the Claude 4, Claude 3.5, and Claude 3 model families including Opus, Sonnet, and Haiku variants.

Architecture

graph TD
    A["AnthropicLLM<br/>(Provider)"] -->|extends| B["BaseLLM<br/>(@memberjunction/ai)"]
    B -->|registered via| C["@RegisterClass<br/>(@memberjunction/global)"]
    A -->|wraps| D["Anthropic SDK<br/>(@anthropic-ai/sdk)"]
    A -->|provides| E["Chat Completions"]
    A -->|provides| F["Streaming"]
    A -->|provides| G["Prompt Caching"]
    A -->|provides| H["Thinking/Reasoning<br/>Extraction"]

    style A fill:#7c5295,stroke:#563a6b,color:#fff
    style B fill:#2d6a9f,stroke:#1a4971,color:#fff
    style C fill:#b8762f,stroke:#8a5722,color:#fff
    style D fill:#2d8659,stroke:#1a5c3a,color:#fff
    style E fill:#2d6a9f,stroke:#1a4971,color:#fff
    style F fill:#2d6a9f,stroke:#1a4971,color:#fff
    style G fill:#2d6a9f,stroke:#1a4971,color:#fff
    style H fill:#2d6a9f,stroke:#1a4971,color:#fff

Features

• Chat Completions: Full support for Anthropic's Messages API
• Streaming: Real-time response streaming with thinking block extraction
• Prompt Caching: Automatic ephemeral cache control on content blocks for reduced latency and cost
• Multimodal Input: Support for text, images (base64 and URL), and content block arrays
• Thinking/Reasoning: Extraction of thinking content from Claude's extended thinking responses
• Error Analysis: Integrated error analysis via ErrorAnalyzer

Installation

npm install @memberjunction/ai-anthropic

Usage

import { AnthropicLLM } from "@memberjunction/ai-anthropic";

const llm = new AnthropicLLM("your-anthropic-api-key");

const result = await llm.ChatCompletion({
    model: "claude-sonnet-4-20250514",
    messages: [
        { role: "user", content: "Explain quantum computing in simple terms." },
    ],
    temperature: 0.7,
    maxOutputTokens: 1024,
});

console.log(result.data.choices[0].message.content);

Streaming

const result = await llm.ChatCompletion({
    model: "claude-sonnet-4-20250514",
    messages: [{ role: "user", content: "Write a short story." }],
    streaming: true,
    streamingCallbacks: {
        OnContent: (content) => process.stdout.write(content),
        OnComplete: (result) => console.log("\nDone!"),
    },
});

Extended Thinking

const result = await llm.ChatCompletion({
    model: "claude-opus-4-20250514",
    messages: [{ role: "user", content: "Solve this step by step: ..." }],
    effortLevel: "80",
});

// Access thinking content alongside the response
console.log("Thinking:", result.data.choices[0].message.thinking);
console.log("Answer:", result.data.choices[0].message.content);

Supported Parameters

| Parameter | Supported | Notes | |-----------|-----------|-------| | temperature | Yes | Controls randomness | | maxOutputTokens | Yes | Maximum response length | | topP | Yes | Nucleus sampling | | topK | Yes | Top-K sampling | | stopSequences | Yes | Custom stop sequences | | assistantPrefill | Yes | Pre-seed the start of the assistant's response (guide) | | responseFormat | Yes | JSON mode supported | | streaming | Yes | Real-time streaming | | effortLevel | Yes | Maps to thinking budget |

Class Registration

Registered as AnthropicLLM via @RegisterClass(BaseLLM, 'AnthropicLLM') for use with MemberJunction's class factory system.

Dependencies

• @memberjunction/ai - Core AI abstractions
• @memberjunction/global - Class registration
• @anthropic-ai/sdk - Official Anthropic SDK