This notebook shows how to use LangChain with LlamaAPI - a hosted version of Llama2 that adds in support for function calling.
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)
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