user_message = create_user_message(test_row) test_messages.append({"role": "user", "content": user_message}) pprint(test_messages) response = client.chat.completions.create( model=fine_tuned_model_id, messages=test_messages, temperature=0, max_tokens=500 ) print(response.choices[0].message...
如上图所示,OpenAI的API主要有Audio, ChatCompletion, Completion, Customer, Deployment, Edit, Embedding, Engine, ErrorObject, File, FineTune, Image, Model, Moderation等模块. 我们对其中的主要模块先做概要性解释: Audio模块的主要功能是将Audio转换为文本。 ChatCompletion模块的主要功能是聊天(给定一个包含对话...
client = OpenAI(api_key=api_key) def recognize_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.wikimedi...
ChatChoice ChatCompletions ChatCompletions 屬性 Choices 建立時間 識別碼 使用方式 ChatCompletionsOptions ChatMessage ChatRole 選擇 自動完成 CompletionsLogProbability CompletionsOptions CompletionsUsage EmbeddingItem 內嵌 EmbeddingsOptions EmbeddingsUsage OpenAIClient OpenAIClientOptions OpenAIClientOptions.ServiceVersion ...
client=OpenAI(api_key=api_key)defreturn_json():response=client.chat.completions.create(model="gpt-4-1106-preview",# gpt-3.5-turbo-1106messages=[{"role":"system","content":"You are a helpful assistant, return JSON format."},#JSONis necessary{"role":"user","content":"谁赢了2020年的世...
Chat completionsBeta聊天交互 Using the OpenAI Chat API, you can build your own applications withgpt-3.5-turboandgpt-4to do things like: 使用OpenAI Chat API,您可以使用gpt-3.5-turbo和gpt-4构建自己的应用程序,以执行以下操作: Draft an email or other piece of writing ...
Completions support a wide variety of tasks and generate text that continues from or "completes" provided prompt data. C# Copy public class ChatCompletions : System.ClientModel.Primitives.IJsonModel<Azure.AI.OpenAI.ChatCompletions>, System.ClientModel.Primitives.IPersistableModel<Azure.AI.OpenAI....
Query/Question I am using the OpenAIClient.getChatCompletionsStream() method and found that there are garbled characters in the returned data. I tried to set the header of httpClient with the following code: this.CLIENT = new OpenAIClien...
请根据实际使用的模型名称进行替换messages=[{"role":"system","content":"You are an AI assistant."},{"role":"user","content":"中国的全名?"}]# 发送聊天完成请求chat_completion=client.chat.completions.create(model=model_name,messages=messages)# 打印聊天响应内容print(chat_completion.choices[0]....
client = OpenAI(api_key=api_key) def recognize_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...