​
Gemini 2.5 Flash 支持

本站目前以 Openai 的兼容方式提供 Gemini 2.5 Flash 的 API 支持。 用于快速任务时，可以通过以下代码进行调用关闭思考的模型：

from openai import OpenAI

client = OpenAI(
    api_key="sk-***", # 换成你在 AiHubMix 生成的密钥
    base_url="https://aihubmix.com/v1",
)

completion = client.chat.completions.create(
    model="gemini-2.5-flash-preview-04-17-nothink",
    messages=[
        {
            "role": "user",
            "content": "Explain the Occam's Razor concept and provide everyday examples of it"
        }
    ]
)

print(completion.choices[0].message.content)

用于复杂任务时，只需要将模型 id 设置为默认开启思考的 gemini-2.5-flash-preview-04-17 即可。

Gemini 2.5 Flash 通过 budget（思考预算）来控制思考的深度，范围 0-24K，目前转发采用的是默认预算1024，最佳边际效果为 16K。 后续我们将通过 gemini 原生支持的方式，让开发者可以精准控制预算。

​
Gemini Function calling

使用 openai 兼容方式调用 Gemini 的 function calling 功能时，需要在请求体内部传入tool_choice="auto"，否则会报错。

from openai import OpenAI

# Define the function declaration for the model
schedule_meeting_function = {
    "name": "schedule_meeting",
    "description": "Schedules a meeting with specified attendees at a given time and date.",
    "parameters": {
        "type": "object",
        "properties": {
            "attendees": {
                "type": "array",
                "items": {"type": "string"},
                "description": "List of people attending the meeting.",
            },
            "date": {
                "type": "string",
                "description": "Date of the meeting (e.g., '2024-07-29')",
            },
            "time": {
                "type": "string",
                "description": "Time of the meeting (e.g., '15:00')",
            },
            "topic": {
                "type": "string",
                "description": "The subject or topic of the meeting.",
            },
        },
        "required": ["attendees", "date", "time", "topic"],
    },
}

# Configure the client
client = OpenAI(
    api_key="sk-***", # 换成你在 AiHubMix 生成的密钥
    base_url="https://aihubmix.com/v1",
)

# Send request with function declarations using OpenAI compatible format
response = client.chat.completions.create(
    model="gemini-2.0-flash",
    messages=[
        {"role": "user", "content": "Schedule a meeting with Bob and Alice for 03/14/2025 at 10:00 AM about the Q3 planning."}
    ],
    tools=[{"type": "function", "function": schedule_meeting_function}],
    tool_choice="auto" ## 📍 此处追加了 Aihubmix 兼容，更稳定的请求方式
)

# Check for a function call
if response.choices[0].message.tool_calls:
    tool_call = response.choices[0].message.tool_calls[0]
    function_call = tool_call.function
    print(f"Function to call: {function_call.name}")
    print(f"Arguments: {function_call.arguments}")
    print(response.usage)
    #  In a real app, you would call your function here:
    #  result = schedule_meeting(**json.loads(function_call.arguments))
else:
    print("No function call found in the response.")
    print(response.choices[0].message.content)

输出结果示例：

Function to call: schedule_meeting
Arguments: {"attendees":["Bob","Alice"],"date":"2025-03-14","time":"10:00","topic":"Q3 planning"}
CompletionUsage(completion_tokens=28, prompt_tokens=111, total_tokens=139, completion_tokens_details=None, prompt_tokens_details=None)