Function calling

from openai import OpenAI

client = OpenAI(
    base_url="https://api.sealink.asia/v1",
    api_key="<your-sealink-key>",
)

tools = [
    {
        "type": "function",
        "function": {
            "name": "get_weather",
            "description": "Get the current weather for a city",
            "parameters": {
                "type": "object",
                "properties": {
                    "city": {"type": "string", "description": "City name"},
                    "unit": {"type": "string", "enum": ["c", "f"]},
                },
                "required": ["city"],
            },
        },
    }
]

resp = client.chat.completions.create(
    model="claude-sonnet-4-6",   # or gpt-4o, qwen3-max, doubao-1-5-pro
    messages=[{"role": "user", "content": "Weather in Bangkok in C?"}],
    tools=tools,
    tool_choice="auto",
)

call = resp.choices[0].message.tool_calls[0]
print(call.function.name, call.function.arguments)
# get_weather {"city": "Bangkok", "unit": "c"}

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.sealink.asia/v1",
  apiKey: process.env.SEALINK_API_KEY,
});

const tools = [{
  type: "function" as const,
  function: {
    name: "search_docs",
    description: "Search internal documentation",
    parameters: {
      type: "object",
      properties: {
        query: { type: "string" },
        top_k: { type: "integer", default: 3 },
      },
      required: ["query"],
    },
  },
}];

const resp = await client.chat.completions.create({
  model: "qwen3-max",
  messages: [{ role: "user", content: "How do I refund a customer?" }],
  tools,
  tool_choice: "auto",
});

console.log(resp.choices[0].message.tool_calls);