os.environ["AZURE_OPENAI_ENDPOINT"] = AZURE_OPENAI_ENDPOINT os.environ["OPENAI_API_VERSION"] = OPENAI_API_VERSION main.py最小可运行代码: from langchain_openai import AzureOpenAI import setting llm = AzureOpenAI(deployment_name=setting.deployment_name) # 直接发起会话 def direct_chat(): text =...
在Langchain python中使用AzureChatOpenAI时发送额外的头我已经将我的Open AI服务置于Azure API管理网关之...
提示流还可与 LangChain python 库一起使用,这个库是用于开发由 LLM、代理和依赖项工具提供支持的应用程序的框架。 本文档介绍如何在提示流上增强 LangChain 开发。 企业如何合规、稳定使用ChatGPT以及Copilot? 出于合规角度,建议国内企业可以选择微软的Azure OpenAI服务来使用接口。 通过微软官方合作伙伴获取服务,企业...
第一个应用,就做一个 Hello Word 级别的简单应用,也就是直接用 LangChain 加载OpenAI 的模型,并且实现一个问答。 设置OpenAI API Key 在开始之前,我们需要先设置 OpenAI 的 API Key,这个 key 直接在 OpenAI 的官网,就能直接创建,只要你有 OpenAI 账户。 import os os.environ["OPENAI_API_KEY"] = "KEY" ...
LangChain with Azure OpenAI and ChatGPT (Python v2 Function) This sample shows how to take a human prompt as HTTP Get or Post input, calculates the completions using chains of human input and templates. This is a starting point that can be used for more sophisticated chains. ...
System Info I have just updated my LangChain packages. Until a few weeks ago, LangChain was working fine for me with my Azure OpenAI resource and deployment of the GPT-4-32K model. As I've gone to create more complex applications with it...
In this sample, I demonstrate how to quickly build chat applications using Python and leveraging powerful technologies such as OpenAI ChatGPT models, Embedding models, LangChain framework, ChromaDB vector database, and Chainlit, an open-source Python package that is specifically designed to crea...
, an open-source python package designed explicitly for creating ai applications. chainlit seamlessly integrates with langchain , llamaindex , and langflow , making it a powerful tool for easily developing chatgpt-like applications. by following our example, you can qui...
在Langchain python中使用AzureChatOpenAI时发送额外的头你可以使用连接到Azure APIM的LangChain。诀窍是...
442 return self._create_chat_result(response) File ~/exp-venv/lib/python3.10/site-packages/langchain_community/chat_models/openai.py:356, in ChatOpenAI.completion_with_retry(self, run_manager, **kwargs) 354 \"\"\"Use tenacity to retry the completion call.\"\"\" 355 if is_openai_v1...