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Nebula (Symbl.ai)

概述

本笔记本涵盖了如何开始使用 Nebula - Symbl.ai 的聊天模型。

集成详情

请访问 API 参考,获取详细文档。

模型功能:TODO

设置

凭证

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

import getpass
import os

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

安装

集成已在 langchain-community 包中设置。

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.'}])

流式传输

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

批量

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

from langchain_core.prompts import ChatPromptTemplate

prompt = ChatPromptTemplate.from_template("Tell me a joke about {topic}")
chain = prompt | chat
API 参考: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,了解更多详细信息。


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