导入必要的库和模块: 在你的Python脚本中,导入OpenAI的API模块。 python import openai 设置OpenAI API的密钥: 你需要在代码中设置你的OpenAI API密钥。这可以通过设置环境变量或直接在代码中指定来完成。 python openai.api_key = "你的API密钥" 调用OpenAI API的相应方法生成embeddings: 使用openai.Embedding.cre...
import openai import json openai.api_key = "" if __name__ == '__main__': embeddings = openai.Embedding.create( model="text-embedding-ada-002", input="一个美女" ) print("result:" + json.dumps(embeddings)) 接口返回了该文本对应的 1536 个维度数据,相当于我们已经掌握了这份文本数据的“...
要获取嵌入,请将文本字符串发送到嵌入 API 终结点,同时选择嵌入模型 ID(例如,)。响应将包含一个嵌入,您可以提取、保存和使用嵌入。text-embedding-ada-002 示例请求: curl https://api.openai.com/v1/embeddings \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -...
os.environ["OPENAI_API_KEY"]=getpass.getpass("Enter your OpenAI API key: ") If you want to get automated tracing of your model calls you can also set yourLangSmithAPI key by uncommenting below: # os.environ["LANGSMITH_TRACING"] = "true" ...
POST https://api.openai.com/v1/embeddings 请求参数: python代码如下: import requests import json headers = { 'Authorization': f'Bearer {key}', # 注:key为OpenAI API申请的key 'Content-Type':'application/json' } url = "https://api.openai.com/v1/embeddings" query = { "model":"text-em...
curl https://api.openai.com/v1/embeddings \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -d '{ "input": "Your text string goes here", "model": "text-embedding-ada-002" }' 请问OpenAI的/v1/embeddings接口付费吗?
Describe the bug First time using datastax. I used this tutorial and created a "Vector Store RAG". I configured the Astra Tokens and API and created an OpenAI API Key. I followed the tutorial an pressed the "play" button. But I am gettin...
OpenAI API Key: Make sure that the openai_api_key you're using is correct and has the necessary permissions. You can check this in your OpenAI account. OpenAI Python Package: Ensure that the OpenAI Python package is installed in your environment. You can do this by running pip show openai...
php// OpenAI Embeddings API endpoint$api_url="https://api.openai.com/v1/embeddings";// Your API key$api_key="YOUR_API_KEY_GOES_HERE";// Text to be embedded$text="This is the text that you want to embed.";// Request body$request_body=array("model"=>"text-embedding","document"...
os.environ["OPENAI_API_KEY"] = "xxxxxxxx" os.environ["SERPAPI_API_KEY"] ="yyyyyyyy" # 导入llm模型 llm = OpenAI(temperature=0) # 导入一些tools,这里倒入serpapi和llm-math # SerpApi是一个付费提供搜索结果API的第三方服务提供商。它允许用户通过简单的API调用访问各种搜索引擎的搜索结果,包括Google...