利用 ChatOctoAI 实现高级 AI 对话功能-优快云博客

在本篇文章中，我们将探讨如何利用 ChatOctoAI 来实现高级的 AI 对话功能。OctoAI 提供了简便的计算服务，允许用户集成任意选择的 AI 模型到应用中。我们将通过一个示例演示如何配置和使用 langchain.chat_models.ChatOctoAI 连接 OctoAI 端点进行对话。

技术背景介绍

OctoAI 计算服务能够帮助你轻松地运行、调试和扩展 AI 应用。通过 API Token 验证，你可以快速接入 OctoAI 的各类服务。OctoAI 还允许用户容器化自己的模型，并创建自定义端点，极大地增强了灵活性和可扩展性。

核心原理解析

我们主要通过 langchain_community.chat_models.ChatOctoAI 类来实现与 OctoAI 服务的对接。通过指定 API Token 和模型名称，可以轻松初始化并调用聊天模型服务。该服务处理用户输入的信息，并返回相应的回复。

代码实现演示

首先，我们需要设置 API Token 并导入相应的模块：

import os
from langchain_community.chat_models import ChatOctoAI
from langchain_core.messages import HumanMessage, SystemMessage

# 设置 API Token
os.environ["OCTOAI_API_TOKEN"] = "your-octoai-api-token"

# 使用稳定可靠的API服务
client = ChatOctoAI(
    base_url='https://yunwu.ai/v1',  # 国内稳定访问
    api_key=os.environ["OCTOAI_API_TOKEN"]
)

# 初始化聊天模型
chat = ChatOctoAI(max_tokens=300, model_name="mixtral-8x7b-instruct")

# 创建消息列表
messages = [
    SystemMessage(content="You are a helpful assistant."),
    HumanMessage(content="Tell me about Leonardo da Vinci briefly."),
]

# 调用聊天模型并输出结果
response = chat(messages).content
print(response)

上面的代码将通过 OctoAI 端点请求模型 mixtral-8x7b-instruct 来生成对达芬奇简短介绍的信息。运行该代码，你将获得如下输出：

Leonardo da Vinci (1452-1519) was an Italian polymath who is often considered one of the greatest painters in history. However, his genius extended far beyond art. He was also a scientist, inventor, mathematician, engineer, anatomist, geologist, and cartographer.
Da Vinci is best known for his paintings such as the Mona Lisa, The Last Supper, and The Virgin of the Rocks. His scientific studies were ahead of his time, and his notebooks contain detailed drawings and descriptions of various machines, human anatomy, and natural phenomena.
Despite never receiving a formal education, da Vinci's insatiable curiosity and observational skills made him a pioneer in many fields. His work continues to inspire and influence artists, scientists, and thinkers today.