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Nebula (Symbl.ai)

概述​

本笔记本介绍如何开始使用Nebula - Symbl.ai的聊天模型。

集成详情​

前往API参考获取详细文档。

模型特性：待办事项​

设置​

凭证​

要开始使用，请申请一个Nebula API key并设置NEBULA_API_KEY环境变量：

import getpass
import os

os.environ["NEBULA_API_KEY"] = getpass.getpass()

安装​

集成设置在 langchain-community 包中。

实例化​

from langchain_community.chat_models.symblai_nebula import ChatNebula
from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
chat = ChatNebula(max_tokens=1024, temperature=0.5)

调用​

messages = [
    SystemMessage(
        content="You are a helpful assistant that answers general knowledge questions."
    ),
    HumanMessage(content="What is the capital of France?"),
]
chat.invoke(messages)
AIMessage(content=[{'role': 'human', 'text': 'What is the capital of France?'}, {'role': 'assistant', 'text': 'The capital of France is Paris.'}])

异步​

await chat.ainvoke(messages)
AIMessage(content=[{'role': 'human', 'text': 'What is the capital of France?'}, {'role': 'assistant', 'text': 'The capital of France is Paris.'}])

流处理​

for chunk in chat.stream(messages):
    print(chunk.content, end="", flush=True)
 The capital of France is Paris.

批次​

chat.batch([messages])
[AIMessage(content=[{'role': 'human', 'text': 'What is the capital of France?'}, {'role': 'assistant', 'text': 'The capital of France is Paris.'}])]

链式调用​

from langchain_core.prompts import ChatPromptTemplate

prompt = ChatPromptTemplate.from_template("Tell me a joke about {topic}")
chain = prompt | chat
API Reference:ChatPromptTemplate
chain.invoke({"topic": "cows"})
AIMessage(content=[{'role': 'human', 'text': 'Tell me a joke about cows'}, {'role': 'assistant', 'text': "Sure, here's a joke about cows:\n\nWhy did the cow cross the road?\n\nTo get to the udder side!"}])

API参考​

查看API参考以获取更多详细信息。

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