并通过load_dotenv函数从一个.env文件中获取# 如果希望从.env文件的环境变量中读取终结点、密钥和部署名称在内的环境变量,# 那么还需要安装python-dotenv库,命令是:pip install python-dotenvclient=AzureOpenAI(azure_endpoint="在这里输入你的终结点URI",api_key="在这里输入你的API密钥",api_version="2023-09-...
OpenAI Python 1.x C# PowerShell 控制台 curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/embeddings?api-version=2024-10-21\ -H 'Content-Type: application/json' \ -H 'api-key: YOUR_API_KEY' \ -d '{"input": "Sample Document goes here"}' ...
endpoint path 是 stringurl 支持的 Azure OpenAI 终结点(协议和主机名,例如:https://aoairesource.openai.azure.com。将“aoairesource”替换为你的 Azure OpenAI 资源名称)。 https://{your-resource-name}.openai.azure.com deployment-id path 是 string 已部署模型的部署 ID。 ...
OPENAI_API_主机 api.openai.com 供Azure 使用的基本 URL https://<endpoint>.openai.azure.com OPENAI_API_类型 openai API 类型,选项为 openai 或 azure OPENAI_API_版本 2023-03-15-preview 仅适用于 Azure OpenAI AZURE_DEPLOYMENT_ID 当使用 Azure OpenAI 时需要,请参考 Azure OpenAI API OPENAI_组织 您...
First make sure you have provisioned the Azure OpenAI resources, and that you have the .env file in the root folder.Run npm install to install the dependencies. Run npm start to run the example.This will use the OpenAI SDK to make a request to the OpenAI API and print the response to...
🙋 使用Azure OpenAI接口返回404,并提示The API deployment for this resource does not exist,但是可以直接通过curl或者postman访问。#274 New issue Closed saynone opened this issue Jul 8, 2023· 2 comments · Fixed by #275 Comments saynone commented Jul 8, 2023 问题说明 当前版本v1.1.3 部署...
在LangChain中,您需要修改相关的配置参数以适配Azure OpenAI。这些参数包括: azureOpenAIApiKey:Azure OpenAI的秘钥。 azureOpenAIApiInstanceName:Azure OpenAI资源的名称。 azureOpenAIApiDeploymentName:您部署的模型名称。 azureOpenAIApiVersion:API的版本号,目前支持2023-03-15-preview、2022-12-01、2023-05-15等。
AzureOpenAI API Calls are crashing GPT 4o deployment is not responding and producing the error - Validation error at #/data_sources/0/azure_search/parameters/endpoint: Field required Azure OpenAI Service Azure OpenAI Service An Azure service that provides access to OpenAI’s GPT-3 models with en...
AZURE_OPENAI_ENDPOINT/openai/deployments/deployment_name/chat/completions?api-version=2023-05-15 注意Body下的raw选json格式 { "messages": [ { "role": "system", "content": "You are a helpful assistant." }, { "role": "user", "content": "Does Azure OpenAI support customer managed keys?"...
接下来让我们部署模型。点击资源管理中的模型部署 → 管理部署。 页面会跳转到Azure AI Studio中,点击[create new deployment](这里我选择 gpt-35-turbo),输入[Deployment name],点击[Create]。 创建完成后,您可以点击[Chat],在窗口进行交流了。 调用API 的 Endpoint 点击View Code查看代码,可直接API调用。