OpenAI 助手(Assistants API)入门 概述 助手playground 步骤1:创建助手 Assistant 步骤2:创建 Thread 步骤3:向 Thread 添加消息 步骤4:运行助手 步骤5:检查 Run 的状态 步骤6:显示助手的响应 深入理解助手(Assistant API)是怎样工作的 概述 对象 创建助手 管理线程 Threads 和消息 Messages 运行Runs 和运行步骤 Run...
from openai import OpenAI client = OpenAI(api_key=api_key) response = client.chat.completions.create( model="gpt-3.5-turbo", messages=[ {"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "Who won the world series in 2020?"}, {"role":...
];$url='https://api.openai.com/v1/chat/completions';//post方法下段代码贴出来$response=Request::post($url,$data);if($response['code'] ===0){return$this->error($response['msg']); }$res=$response['data'];//取得回答$answer=$res['choices'][0]['message']['content'];//除了回答...
api_version="2024-05-01-preview", azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT") )# Create an assistantassistant = client.beta.assistants.create( name="Data Visualization", instructions=f"You are a helpful AI assistant who makes interesting visualizations based...
OpenAI assistant API 在代码解释和知识检索方面颠覆了AI Agent领域。 assistant API的代码解释器功能是一个强大的工具,能够从代码执行生成各种文件类型,如图片和 CSV 文件。例如,当创建图像图表时,开发者可以通过助手消息响应中的 file_id 字段轻松访问它。这种无缝集成方便了生成内容的下载,无需额外操作。 想象一个场...
A PHP class for seamless interaction with the OpenAI Assistant API, enabling developers to build powerful AI assistants capable of performing a variety of tasks. assistantopenaiopenai-apiopenai-assistant-apiopenai-assistant-function-callopenai-php-sdk ...
choices[0].message)注意：这里指定了角色，system指定chatGPT的身份，user是用户发的内容，assistant是...
from openai import AzureOpenAI client = AzureOpenAI( api_key=os.getenv("AZURE_OPENAI_API_KEY"), api_version="2024-05-01-preview", azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT") ) image_data = client.files.content("assistant-abc123") image_data_bytes = image_data.read() with open...
key = API_SECRET_KEY openai.api_base = BASE_URL resp = openai.ChatCompletion.create( model="ft:gpt-3.5-turbo-0613xxxxxxxxxxxxxxxxxxx", # 模型名字要从上一步获取得到 messages=[ {"role": "system", "content": "You are a helpful assistant."}, {"role": "user", ...
How i can achieve this in assistant API, i want to return JSON response always. For example: await openai.beta.threads.runs.submitToolOutputs( thread.id, run.id, { tool_outputs: [ { tool_call_id: toolCall?.id, output: JSON.stringify({'first_name': args.first_name, 'last_name' :...