Tool Use

Python

import anthropic

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

tools = [
    {
        "name": "get_weather",
        "description": "Get the weather for a specified city",
        "input_schema": {
            "type": "object",
            "properties": {
                "city": {"type": "string", "description": "City name"}
            },
            "required": ["city"]
        }
    }
]

response = client.messages.create(
    model="claude-opus-4-7",
    max_tokens=1024,
    tools=tools,
    messages=[{"role": "user", "content": "What is the weather in Guangzhou today?"}]
)

for block in response.content:
    if block.type == "tool_use":
        print(f"Tool call: {block.name}, args: {block.input}")

JavaScript

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

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

const tools = [
  {
    name: "get_weather",
    description: "Get the weather for a specified city",
    input_schema: {
      type: "object",
      properties: {
        city: { type: "string", description: "City name" },
      },
      required: ["city"],
    },
  },
];

const response = await client.messages.create({
  model: "claude-opus-4-7",
  max_tokens: 1024,
  tools,
  messages: [{ role: "user", content: "What is the weather in Guangzhou today?" }],
});

for (const block of response.content) {
  if (block.type === "tool_use") {
    console.log(`Tool call: ${block.name}, args:`, block.input);
  }
}

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": 1024,
    "tools": [{
      "name": "get_weather",
      "description": "Get the weather for a specified city",
      "input_schema": {
        "type": "object",
        "properties": {"city": {"type": "string", "description": "City name"}},
        "required": ["city"]
      }
    }],
    "messages": [{"role": "user", "content": "What is the weather in Guangzhou today?"}]
  }'

Complete Tool Calling Loop

Python

import anthropic

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

def get_weather(city: str) -> str:
    return f"{city} is sunny today, 25°C"

tools = [
    {
        "name": "get_weather",
        "description": "Get the weather for a specified city",
        "input_schema": {
            "type": "object",
            "properties": {"city": {"type": "string"}},
            "required": ["city"]
        }
    }
]

messages = [{"role": "user", "content": "What is the weather in Beijing?"}]

while True:
    response = client.messages.create(
        model="claude-opus-4-7",
        max_tokens=1024,
        tools=tools,
        messages=messages
    )

    if response.stop_reason == "end_turn":
        print(response.content[0].text)
        break

    tool_results = []
    for block in response.content:
        if block.type == "tool_use":
            result = get_weather(**block.input)
            tool_results.append({
                "type": "tool_result",
                "tool_use_id": block.id,
                "content": result
            })

    messages.append({"role": "assistant", "content": response.content})
    messages.append({"role": "user", "content": tool_results})

JavaScript

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

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

function getWeather(city) {
  return `${city} is sunny today, 25°C`;
}

const tools = [
  {
    name: "get_weather",
    description: "Get the weather for a specified city",
    input_schema: {
      type: "object",
      properties: { city: { type: "string" } },
      required: ["city"],
    },
  },
];

const messages = [{ role: "user", content: "What is the weather in Beijing?" }];

while (true) {
  const response = await client.messages.create({
    model: "claude-opus-4-7",
    max_tokens: 1024,
    tools,
    messages,
  });

  if (response.stop_reason === "end_turn") {
    console.log(response.content[0].text);
    break;
  }

  const toolResults = [];
  for (const block of response.content) {
    if (block.type === "tool_use") {
      const result = getWeather(block.input.city);
      toolResults.push({ type: "tool_result", tool_use_id: block.id, content: result });
    }
  }

  messages.push({ role: "assistant", content: response.content });
  messages.push({ role: "user", content: toolResults });
}

curl

# Step 1: send a request; the model returns tool_use
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": 1024,
    "tools": [{"name": "get_weather", "description": "Get the weather for a specified city", "input_schema": {"type": "object", "properties": {"city": {"type": "string"}}, "required": ["city"]}}],
    "messages": [{"role": "user", "content": "What is the weather in Beijing?"}]
  }'

# Step 2: continue the conversation with tool_result
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": 1024,
    "tools": [{"name": "get_weather", "description": "Get the weather for a specified city", "input_schema": {"type": "object", "properties": {"city": {"type": "string"}}, "required": ["city"]}}],
    "messages": [
      {"role": "user", "content": "What is the weather in Beijing?"},
      {"role": "assistant", "content": [{"type": "tool_use", "id": "tool_123", "name": "get_weather", "input": {"city": "Beijing"}}]},
      {"role": "user", "content": [{"type": "tool_result", "tool_use_id": "tool_123", "content": "Beijing is sunny today, 25°C"}]}
    ]
  }'