rise-ai / agent /jsonencoder.py
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from langchain_openai import ChatOpenAI
from agent.datastructures import parser,ResponseSchema
model = ChatOpenAI(model="gpt-3.5-turbo-0125", temperature=0)
model.with_structured_output(ResponseSchema)
from langchain.prompts import ChatPromptTemplate,PromptTemplate, MessagesPlaceholder,SystemMessagePromptTemplate
prompt = PromptTemplate(
template="""
{format_instructions}
Only provide a single JSON blob, beginning with '{{' and ending with '}}'
/n {input} /n
""",
input_variables=["input"],
partial_variables={"format_instructions": parser.get_format_instructions()},
)
prompt = ChatPromptTemplate.from_messages(
[
("system", "You will be given the chat so far, you should render the final answer as a JSON object"),
MessagesPlaceholder(variable_name="conversation"),
]
)
json_parse_chain = prompt | model | parser