BASE_URL = "https://flag.smarttrot.com/v1" #智增增的base_url openai.api_key = API_SECRET_KEY openai.api_base = BASE_URL # Example dummy function hard coded to return the same weather # In production, this could be your backend API or an external API def get_current_weather(locatio...
【OpenAI量化金融】3.Python接口自动识别介绍 OpenAI API Python - Earnings Call Summarization In this video, we get started with the OpenAI Python package. We write code to perform a simple task: summarizing an earnin, 视频播放量 423、弹幕量 0、点赞数 7、投
你的代码这是对不齐的 https://cookbook.openai.com/examples/how_to_call_functions_with_chat_models 在这个部分openai 关于工具的流的返回结构也不是这个样子的 我测试了下,我post 这个的时候用的你之前版本的predict_stream,现在这版的确实会兑不齐。 问题出在: GLM-4/basic_demo/openai_api_server.py ...
(function calling)实现: 使用OpenAI库在Ollama中实现函数调用 使用Ollama官方Python库实现航班信息查询系统 高级应用: 电商平台客户服务场景示例 并行函数调用(Parallel function calling)的实现和优势 AutoGen集成:演示如何在AutoGen中使用Mistral Large模型 本视频涵盖了多种技术和工具,包括Python编程、API调用、函数调用、...
I'm gettin the following error message when calling the Azure OpenAI API using Python json. #<Response [404]> #{ # "error": { # "code": "DeploymentNotFound", # "message": "The API deployment for this resource does not exist. If you #created the deployment within the ...
Anyway, I had to give more money to OpenAI to test their APIs. So there's your first citizen developer tip: the ChatGPT Plus secret API key doesn't let you access APIs. Consulting OpenAI's Developer Quickstart shows three ways to access its APIs: curl, Python or Node.js. No mention ...
我们已经有了一个create_openai_tools_agent()构造函数，它可以方便地构建一个符合OpenAI工具调用API的...
不同于OpenAI提供了Python库作为API接入方式,OpenWeather API是通过https协议进行通信,所以使用Python调用OpenWeather API的基本步骤为: Step 1:构建请求URL HTTPs请求是通过URL(统一资源定位符)来标识网络上的一个资源的,所以对于OpenWeather实时查询天气的API来说,这个URL就是:api.openweathermap.org/ Step 2:设置...
openai.ChatCompletion.create( File "/Users/tadeo/anaconda3/lib/python3.10/site-packages/openai/api_resources/chat_completion.py", line 25, in create return super().create(*args, **kwargs) File "/Users/tadeo/anaconda3/lib/python3.10/site-packages/openai/api_resources/abstract/engine_api_...
OpenAI(api_key="anything",base_url="http://0.0.0.0:8000") # set proxy to base_url # request sent to model set on litellm proxy, `litellm --model` response = client.chat.completions.create(model="gpt-3.5-turbo", messages = [ { "role": "user", "content": "this is a test ...