结合使用内置工具和函数调用

Gemini 允许在单次交互中组合使用 内置工具（例如 google_search）和 函数调用 （也称为 自定义工具），方法是保留并公开 工具调用的上下文历史记录。内置工具和自定义工具组合支持复杂的代理工作流，例如，模型可以在调用您的特定业务逻辑之前，根据实时网络数据进行自我定位。

以下示例展示了如何使用 google_search 和自定义函数 getWeather 启用内置工具和自定义工具组合：

Python

# This will only work for SDK newer than 2.0.0
from google import genai

client = genai.Client()

getWeather = {
    "type": "function",
    "name": "getWeather",
    "description": "Gets the weather for a requested city.",
    "parameters": {
        "type": "object",
        "properties": {
            "city": {
                "type": "string",
                "description": "The city and state, e.g. Utqiaġvik, Alaska",
            },
        },
        "required": ["city"],
    },
}

# The Interactions API manages context automatically across tool calls.
# The model will first use Google Search, then call getWeather.
interaction = client.interactions.create(
    model="gemini-3.6-flash",
    input="What is the northernmost city in the United States? What's the weather like there today?",
    tools=[
        {"type": "google_search"},
        getWeather,
    ],
)

# Process steps: the interaction contains search results and a function call
for step in interaction.steps:
    if step.type == "function_call":
        print(f"Function call: {step.name} with args: {step.arguments}")
        # In a real application, you would execute the function here
        # and provide the result back to the model.

JavaScript