Anthropic Claude Integration

Use Anthropic's Claude models for long-context tasks, analysis, and safe AI interactions.

Supported Models

Claude 3 Opus

Most capable model. Excels at complex analysis and reasoning.

200K context window

Claude 3 Sonnet

Balanced performance and cost. Great for most use cases.

200K context window

Claude 3 Haiku

Fastest and most affordable. Ideal for high-volume tasks.

200K context window

Setup

1. Get Anthropic API Key

Sign up at console.anthropic.com and create an API key.

2. Configure CognitiveX

.envbash
COGNITIVEX_API_KEY=your_cognitivex_key
ANTHROPIC_API_KEY=your_anthropic_key

3. Use in Code

typescript
import { CognitiveXClient } from '@cognitivex/sdk';

const client = new CognitiveXClient({
  apiKey: process.env.COGNITIVEX_API_KEY
});

// Use Claude
const result = await client.cognition.reason({
  query: "Analyze this document...",
  model: "claude-3-sonnet"
});

Key Features

Long Context

200K token context window - analyze entire books or codebases

Safety

Built-in safety features and reduced hallucinations

Analysis

Excellent at document analysis and summarization

Reasoning

Strong logical reasoning and step-by-step explanations

Examples

Document Analysis

typescript
// Store long document
const doc = await client.memory.store({
  content: longDocument, // Up to 200K tokens
  tags: ["contracts"]
});

// Analyze with Claude
const result = await client.cognition.reason({
  query: "Identify risks and obligations",
  model: "claude-3-opus",
  context: [doc.id]
});

Safe Content Generation

typescript
const result = await client.cognition.reason({
  query: "Generate user-facing content about...",
  model: "claude-3-sonnet",
  systemPrompt: "Be helpful, harmless, and honest."
});

Code Analysis

typescript
const result = await client.cognition.reason({
  query: "Review this codebase for security issues",
  model: "claude-3-opus",
  context: codebaseIds
});

When to Use Claude

  • Long documents - Analyze entire books, codebases, or contracts
  • Safety-critical - Customer-facing content generation
  • Analysis tasks - Research, summarization, extraction
  • Complex reasoning - Multi-step logical analysis

Best Practices

  • • Use Claude for long-context tasks (GPT-4 has 128K limit)
  • • Leverage 200K context for entire document analysis
  • • Use Haiku for high-volume, cost-sensitive tasks
  • • Use Opus for complex analysis and reasoning
  • • Take advantage of built-in safety features
  • • Monitor costs - Claude pricing differs from OpenAI