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Nebula (Symbl.ai)

概觀​

本筆記本涵蓋如何開始使用 Nebula - Symbl.ai 的聊天模型。

整合細節​

前往 API 參考 以取得詳細文件。

模型功能：待辦事項​

設定​

憑證​

若要開始，請請求 Nebula API 金鑰 並設定 NEBULA_API_KEY 環境變數

import getpass
import os

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

安裝​

整合已在 langchain-community 套件中設定。

實例化​

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)

調用​

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.'}])

非同步​

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

串流​

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.'}])]

鏈式​

from langchain_core.prompts import ChatPromptTemplate

prompt = ChatPromptTemplate.from_template("Tell me a joke about {topic}")
chain = prompt | chat
API 參考：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 參考​

查看 API 參考 以了解更多詳細資訊。

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