Extended Thinking

Extended thinking lets the model reason deeply before answering. It is suitable for complex math, logic, and analysis tasks.

Python

import anthropic

client = anthropic.Anthropic(api_key="your-api-key", base_url="https://aisupermarket.work")

response = client.messages.create(
    model="claude-opus-4-7",
    max_tokens=16000,
    thinking={
        "type": "enabled",
        "budget_tokens": 10000
    },
    messages=[{"role": "user", "content": "Prove that the square root of 2 is irrational"}]
)

for block in response.content:
    if block.type == "thinking":
        print("Thinking process:")
        print(block.thinking)
    elif block.type == "text":
        print("Answer:")
        print(block.text)

JavaScript

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

const client = new Anthropic({ apiKey: "your-api-key", baseURL: "https://aisupermarket.work" });

const response = await client.messages.create({
  model: "claude-opus-4-7",
  max_tokens: 16000,
  thinking: { type: "enabled", budget_tokens: 10000 },
  messages: [{ role: "user", content: "Prove that the square root of 2 is irrational" }],
});

for (const block of response.content) {
  if (block.type === "thinking") {
    console.log("Thinking process:");
    console.log(block.thinking);
  } else if (block.type === "text") {
    console.log("Answer:");
    console.log(block.text);
  }
}

curl

curl https://aisupermarket.work/v1/messages \
  -H "x-api-key: your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-opus-4-7",
    "max_tokens": 16000,
    "thinking": {"type": "enabled", "budget_tokens": 10000},
    "messages": [{"role": "user", "content": "Prove that the square root of 2 is irrational"}]
  }'

Streaming Extended Thinking

Python

import anthropic

client = anthropic.Anthropic(api_key="your-api-key", base_url="https://aisupermarket.work")

with client.messages.stream(
    model="claude-opus-4-7",
    max_tokens=16000,
    thinking={"type": "enabled", "budget_tokens": 8000},
    messages=[{"role": "user", "content": "Analyze the pros and cons of this business plan: ..."}]
) as stream:
    for event in stream:
        if hasattr(event, "type"):
            if event.type == "content_block_start" and hasattr(event.content_block, "type"):
                if event.content_block.type == "thinking":
                    print("\n[Thinking...]")
            elif event.type == "content_block_delta":
                if hasattr(event.delta, "thinking"):
                    print(event.delta.thinking, end="", flush=True)
                elif hasattr(event.delta, "text"):
                    print(event.delta.text, end="", flush=True)

JavaScript

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

const client = new Anthropic({ apiKey: "your-api-key", baseURL: "https://aisupermarket.work" });

const stream = await client.messages.stream({
  model: "claude-opus-4-7",
  max_tokens: 16000,
  thinking: { type: "enabled", budget_tokens: 8000 },
  messages: [{ role: "user", content: "Analyze the pros and cons of this business plan: ..." }],
});

for await (const event of stream) {
  if (event.type === "content_block_start" && event.content_block?.type === "thinking") {
    console.log("\n[Thinking...]");
  } else if (event.type === "content_block_delta") {
    if (event.delta.type === "thinking_delta") {
      process.stdout.write(event.delta.thinking);
    } else if (event.delta.type === "text_delta") {
      process.stdout.write(event.delta.text);
    }
  }
}

curl

curl https://aisupermarket.work/v1/messages \
  -H "x-api-key: your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-opus-4-7",
    "max_tokens": 16000,
    "stream": true,
    "thinking": {"type": "enabled", "budget_tokens": 8000},
    "messages": [{"role": "user", "content": "Analyze the pros and cons of this business plan: ..."}]
  }'

budget_tokens must be at least 1024, and max_tokens must be greater than budget_tokens.