ChatLlamaAPI
此笔记本演示了如何将 LangChain 与LlamaAPI（Llama2 的托管版本，增加了对函数调用的支持）一起使用。
%pip install --upgrade --quiet llamaapi
from llamaapi import LlamaAPI
# Replace 'Your_API_Token' with your actual API token
llama = LlamaAPI("Your_API_Token")
from langchain_experimental.llms import ChatLlamaAPI
API 参考：ChatLlamaAPI
/Users/harrisonchase/.pyenv/versions/3.9.1/envs/langchain/lib/python3.9/site-packages/deeplake/util/check_latest_version.py:32: UserWarning: A newer version of deeplake (3.6.12) is available. It's recommended that you update to the latest version using `pip install -U deeplake`.
warnings.warn(
model = ChatLlamaAPI(client=llama)
from langchain.chains import create_tagging_chain
schema = {
"properties": {
"sentiment": {
"type": "string",
"description": "the sentiment encountered in the passage",
},
"aggressiveness": {
"type": "integer",
"description": "a 0-10 score of how aggressive the passage is",
},
"language": {"type": "string", "description": "the language of the passage"},
}
}
chain = create_tagging_chain(schema, model)
API 参考：create_tagging_chain
chain.run("give me your money")
{'sentiment': 'aggressive', 'aggressiveness': 8, 'language': 'english'}