看下请求里的另一个参数 model，可以选择几种不同模型，包括 text-davinci-003、text-curie-001、text...
id for model in models.data] print("老式写法") print(model_list); 输出结果是符合预期的: 新式写法 新式的写法是(注意红字部分: 需要构造一个OpenAI对象,并且传入api_key和base_url) import os from openai import OpenAI os.environ["OPENAI_API_KEY"]='sk-xxx(open ai上的API Key)'; client = ...
数据集以JSON形式呈现"}, {"role": "user", "content": "请在数据集input_json上执行计算所有人年龄总和函数"} ] res = openai.ChatCompletion.create( model="gpt-3.5-turbo", messages=messages, functions=functions
client=OpenAI(api_key=api_key)defrecognize_image():response=client.chat.completions.create(model="gpt-4-vision-preview",messages=[{"role":"user","content":[{"type":"text","text":"这个图片里面有什么"},{"type":"image_url","image_url":"https://upload.wikimedia.org/wikipedia/commons/th...
"model": "content-filter-alpha", "prompt": "<|endoftext|>[prompt]\n--\nLabel:", "max_tokens": 1, "user": "1" }' 或者通过我们的openaipython客户端: 12345678910content_to_classify = "Your content here" response = openai.Completion.create( model="content-filter-alpha", prompt = "<...
An Azure OpenAI resource that's located in a region that supports fine-tuning of the Azure OpenAI model. Check the Model summary table and region availability for the list of available models by region and supported functionality. For more information, see Create a resource and deploy a model ...
OpenAI Python 1.x OpenAI Python 0.28.1 You need to set themodelvariable to the deployment name you chose when you deployed the GPT-3.5-Turbo or GPT-4 models. Entering the model name results in an error unless you chose a deployment name that is identical to the underlying model name. ...
model True string The used model, choose between text-davinci-002, text-curie-001, text-babbage-001, text-ada-001 prompt prompt True string Text that will be completed by GPT3 n n integer How many completions to generate for each prompt best_of best_of integer If set to more ...
Python 1.x REST Python fromopenaiimportAzureOpenAI client = AzureOpenAI( api_key=os.getenv("AZURE_OPENAI_API_KEY"), api_version="2024-08-01-preview", azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT") ) my_assistants = client.beta.assistants.list( order="desc", limit="20", ) print...
// Configure the default for all requests:constclient=newOpenAI({timeout:20*1000,// 20 seconds (default is 10 minutes)});// Override per-request:awaitclient.chat.completions.create({messages:[{role:'user',content:'How can I list all files in a directory using Python?'}],model:'gpt-4...