便携AI聚合API谷歌Gemini模型接入教程

Gemini是由谷歌DeepMind开发一个多模态大型语言模型系列，Gemini API为用户提供交互功能，包括文字和图像的识别，本文分享下便携AI聚合API谷歌Gemini模型模型接入教程。

一、前言

本文参考Anthropic Claude官方API文档：https://docs.anthropic.com/zh-CN/api/getting-started

文中使用的API Key均为便携AI聚合API后台生成的令牌，以sk-开头的一串随机字符，获取方法：《便携AI聚合API新建令牌（API key）教程》。

便携AI聚合API有三个接入地址（即URL），一般推荐选择第一个：

• 中转API调用地址①（中国香港服务器，直连线路，带宽大）：https://api.bianxie.ai
• 中转API调用地址②（国内上海服务器，带宽稍小）：https://api.bianxieai.com
• 中转API调用地址③（国外服务器，也可以直连，备用）：https://api.a8.hk（三个网站都可以登录账号，数据同步）

模型支持各种语言接入，包括python、PHP、C#、C、Ruby、Java、Go、JavaScript等，本文主要分享官方的CURL调用方法，以及基于python的调用方法，如果你是用其他语言调用API的，则直接问ChatGPT或者其他语言模型怎么改写就行了，如下图：

二、谷歌Gemini模型接入教程

便携AI聚合API在接入谷歌Gemini接口做了调整，调用方式与OpenAI的Chat模式一致，即链接是/v1/chat/completions，支持的模型名称有：gemini-1.5-flash-preview-0514、gemini-1.5-pro-latest、gemini-pro、gemini-pro-vision。

直接文本对话，Python代码如下：

import requests
api_key = 'sk-Xy3WuCpTTvY19'
url = 'https://api.bianxie.ai/v1/chat/completions'

headers = {
    'Content-Type': 'application/json',
    'Authorization': f'Bearer {api_key}'
}

data = {
    'model': 'gemini-1.5-flash-preview-0514',
    'messages': [{'role': 'user', 'content': 'Who are you?'}],
}

response = requests.post(url, headers=headers, json=data)

print(response.json())

返回示例：

{
    'id': 'chatcmpl-60cc7f1b43e347a0a2540df32c9d9207',
    'object': 'chat.completion',
    'created': 1717733485,
    'choices': [{
        'index': 0,
        'message': {
            'role': 'assistant',
            'content': "I am a large language model, trained by Google. \n\nHere's a breakdown of what that means:\n\n* **Large Language Model:** I am a complex computer program designed to understand and generate human-like text. I have been trained on a massive dataset of text and code, allowing me to communicate and process information in a way that's similar to humans.\n* **Trained by Google:** I was developed and trained by Google AI researchers. \n* **Not a person:** I am an AI, not a living person. I don't have emotions, personal opinions, or experiences. I can only process and respond to information based on the data I was trained on.\n\nI am here to assist you with tasks like:\n\n* Answering questions\n* Providing information\n* Generating creative content\n* Translating languages\n* And more!\n\nIf you have any questions or requests, feel free to ask! \n"
        },
        'finish_reason': 'stop'
    }],
    'usage': {
        'prompt_tokens': 11,
        'completion_tokens': 182,
        'total_tokens': 193
    }
}

也可以让它直接分析图片，Python代码如下：

import requests
api_key = 'sk-Xy3WuCpTTvY'
url = 'https://api.bianxie.ai/v1/chat/completions'

headers = {
    'Content-Type': 'application/json',
    'Authorization': f'Bearer {api_key}'
}

data = {
    'model': 'gemini-1.5-flash-preview-0514',
    'messages': [{'role': 'user', "content": [
                {
                    "type": "text",
                    "text": "Who are you and 这张图片的图标是个什么动物？"
                },
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://github.com/dianping/cat/raw/master/cat-home/src/main/webapp/images/logo/cat_logo03.png"
                    }
                }
            ]}],
}

response = requests.post(url, headers=headers, json=data)

print(response.json())

返回示例：

{
    'id': 'chatcmpl-5cd6fe3fc5254ac8a6c2971e37c95feb',
    'object': 'chat.completion',
    'created': 1717733607,
    'choices': [{
        'index': 0,
        'message': {
            'role': 'assistant',
            'content': 'I am a large language model, trained by Google.\n\nThe icon in the image is a cat. \n'
        },
        'finish_reason': 'stop'
    }],
    'usage': {
        'prompt_tokens': 1131,
        'completion_tokens': 21,
        'total_tokens': 1152
    }
}