Once the script is running, it will start capturing audio from your microphone and streaming it to the OpenAI Realtime API. You can stop the script at any time using Ctrl+C. Ensure that your microphone is set up correctly and that you have the necessary permissions to access it. For opti...
Confirm this is a feature request for the Python library and not the underlying OpenAI API. This is a feature request for the Python library Describe the feature or improvement you're requesting Please Update Realtime API code documentat...
tool_resources对象 (object)可选助手工具使用的一组资源。 资源特定于工具类型。 例如,code_interpreter工具需要文件 ID 列表,而file_search工具需要矢量存储 ID 列表。 返回 修改后的助手对象。 修改助手示例 Python 1.x REST Python client = AzureOpenAI( api_key=os.getenv("AZURE_OPENAI_API_KEY"), api_...
The input can either be a string (which is considered a user message), or a list of input items, which are the items in the OpenAI Responses API.\ 当你在 Runner 中使用 run 方法时,你需要传入一个起始代理和输入。输入可以是一个字符串(被视为用户消息),或者是一个输入项列表,这些项是 ...
具体的には、Code Interpreterを有効にした上で、ファイルの入出力機能を活用しより複雑なタスクを実行するアシスタントを作成する方法について解説します。実装は前回の記事に基づいているので、ご覧になってない方は是非ご覧ください。(OpenAI Assistants APIをPythonで実装する方法を解説)...
Let's dive into the step-by-step process of building your own real-time voice bot using the GPT-4o Realtime API. Prerequisites Before you begin, ensure you have the following: Azure Subscription:Create one for free. Azure OpenAI Resource:Set up in a supp...
1from openai import OpenAI 2 3client = OpenAI() 4 5PROMPT = "A vaporwave computer" 6 7response = client.images.generate( 8 model="dall-e-3", 9 prompt=PROMPT, 10) 11 12print(response.data[0].url) Just like before, this code sends an authenticated request to the API that generates...
As an example, the following code demonstrates how to define a Blob Storage input binding: JSON Copy // local.settings.json { "IsEncrypted": false, "Values": { "FUNCTIONS_WORKER_RUNTIME": "python", "STORAGE_CONNECTION_STRING": "<AZURE_STORAGE_CONNECTION_STRING>", "AzureWebJobsStorage":...
ConnectionErrorase:print("The server could not be reached")print(e.__cause__)exceptopenai.RateLimitErrorase:print("A 429 status code was received; we should back off a bit.")exceptopenai.APIStatusErrorase:print("Another non-200-range status code was received")print(e.status_code)print(e...
Browse code This solution creates a ChatGPT-like frontend experience over your own documents using RAG (Retrieval Augmented Generation). It uses Azure OpenAI Service to access GPT models, and Azure AI Search for data indexing and retrieval.