OpenAI实时API通过定义一组事件来支持这些功能,这些事件通过一个长期保持的WebSocket连接进行发送和接收。该API有9个客户端事件(客户端发送给服务器的事件)和28个服务器事件(服务器发送给客户端的事件)。所有37个事件的Pydantic事件定义可以在这里找到: 图片来源:GitHub 这个事件结构非常不错。一个最简的Python命令行客...
是否需要 API 调用; 确定调用的正确 API:如果效果不够好,LLM 需要迭代修改 API 输入,例如确定搜索引擎 API 的搜索关键字; 基于API 结果的响应:模型可以选择进行优化,如果结果不满意,则再次调用 API。 API-Bank 将测试分为了三个级别,以评估 AI Agents 的工具使用能力: Level-1 评估调用 API 的能力。通过给定...
• 确定调用的正确 API:如果效果不够好,LLM 需要迭代修改 API 输入,例如确定搜索引擎 API 的搜索关键字; • 基于 API 结果的响应:模型可以选择进行优化,如果结果不满意,则再次调用 API。 API-Bank 将测试分为了三个级别,以评估 AI Agents 的工具使用能力: • Level-1 评估调用 API 的能力。通过给定 AP...
openai_api_key=OPENAI_API_KEY) tools = [Calculator()] prompt = ChatPromptTemplate.from_messages( [ ( "system", "You are a helpful assistant. Make sure to use the tavily_search_results_json tool for information.", ), ("placeholder", "{chat_history}"), ("human", "{input}"), ("...
Start building with a simple API call Quickstart Get up and running with our API (opens in a new window) Guides Guides Guides Explore and experiment with our models in real-time Explore and experiment with our models in real-time Explore and experiment with our models in real-time (opens ...
By default, the earliest non-system message(s) will be removed from the chat history and the API call will be retried. You may disable this by setting chat.AutoTruncateOnContextLengthExceeded = false, or you can override the truncation algorithm like this: chat.OnTruncationNeeded += (sender...
https://openai.com/waitlist/gpt-4-api 参考链接：[1]https://twitter.com/LangChainAI/status/...
首先需要我们到 Serpapi 官网上注册一个用户,https://serpapi.com/ 并复制他给我们生成 api key。 然后我们需要像上面的 openai api key 一样设置到环境变量里面去。 importos os.environ["OPENAI_API_KEY"] ='你的api key' os.environ["SERPAPI_API_KEY"] ='你的api key' ...
API Key authentication: For this type of authentication, all API requests must include the API Key in the api-key HTTP header. The Quickstart provides guidance for how to make calls with this type of authentication. Microsoft Entra ID authentication: You can authenticate an API call using a ...
This means that each chat request and response gets added to the conversation history, and the whole history is sent to the API after each new input so that the context can be used to give the best answer. Eventually the number of tokens in the combined chat history will exceed your model...