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Claude / Anthropic10 min read1 April 2026

Claude API: The Complete Guide for Developers in 2026

Everything you need to know about using Claude (Anthropic's API) in production — from basic calls to tool use, streaming, and multi-turn conversations.

Claude by Anthropic has rapidly become the preferred LLM for production AI applications. In 2026, Claude Opus 4.6 and Sonnet 4.6 lead benchmarks for reasoning, coding, and instruction-following. Here's how to use the API effectively.

Getting Started

Install the SDK:

```

npm install @anthropic-ai/sdk

```

Basic usage:

```typescript

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });

const message = await client.messages.create({

model: "claude-sonnet-4-6",

max_tokens: 1024,

messages: [{ role: "user", content: "Explain RAG in simple terms." }],

});

console.log(message.content[0].text);

```

Choosing the Right Model

  • Claude Opus 4.6 — highest intelligence, best for complex reasoning, coding, and analysis
  • Claude Sonnet 4.6 — best value, production workhorse, handles 90% of use cases
  • Claude Haiku 4.5 — fastest and cheapest, ideal for classification and simple extraction
  • System Prompts

    System prompts define Claude's behaviour. Spend time here — it's the highest-leverage prompt engineering you can do.

    ```typescript

    const message = await client.messages.create({

    model: "claude-sonnet-4-6",

    max_tokens: 1024,

    system: "You are an expert AI consultant. Be concise, specific, and always give actionable advice.",

    messages: [{ role: "user", content: "How should I approach AI implementation?" }],

    });

    ```

    Tool Use (Function Calling)

    Claude's tool use is exceptional — it reliably decides when and how to use tools.

    ```typescript

    const tools = [

    {

    name: "get_customer",

    description: "Fetch customer data by ID",

    input_schema: {

    type: "object",

    properties: { customer_id: { type: "string", description: "The customer ID" } },

    required: ["customer_id"],

    },

    },

    ];

    const message = await client.messages.create({

    model: "claude-sonnet-4-6",

    max_tokens: 1024,

    tools,

    messages: [{ role: "user", content: "Look up customer C123 and summarise their account." }],

    });

    ```

    Streaming

    For long responses or real-time UX, use streaming:

    ```typescript

    const stream = await client.messages.stream({

    model: "claude-sonnet-4-6",

    max_tokens: 2048,

    messages: [{ role: "user", content: "Write a detailed business plan for an AI agency." }],

    });

    for await (const chunk of stream) {

    if (chunk.type === "content_block_delta") {

    process.stdout.write(chunk.delta.text);

    }

    }

    ```

    Production Best Practices

  • Always set max_tokens — prevents runaway costs
  • Use temperature 0 for deterministic tasks (extraction, classification)
  • Cache system prompts — Anthropic offers prompt caching for repeated system prompts (up to 90% cost reduction)
  • Implement retry logic — use exponential backoff for 529 (overload) errors
  • Log every request — for debugging and cost monitoring
  • Cost Optimisation

    Claude Sonnet is 5x cheaper than Opus. For most production workloads, Sonnet delivers 95% of Opus quality at a fraction of the cost. Use Opus only for tasks where maximum intelligence is critical.

    Need help integrating Claude into your product? Book a free call with our team.

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