open-notebook/open_notebook/graphs/utils.py
2024-10-30 14:30:29 -03:00

39 lines
1.1 KiB
Python

from langchain.output_parsers import OutputFixingParser
from open_notebook.config import DEFAULT_MODELS
from open_notebook.models import get_model
from open_notebook.prompter import Prompter
def run_pattern(
pattern_name: str,
model_name=None,
messages=[],
state: dict = {},
parser=None,
output_fixing_model_name=None,
) -> dict:
if not model_name:
model_name = DEFAULT_MODELS.default_transformation_model
chain = get_model(model_name, model_type="language")
if parser:
chain = chain | parser
if output_fixing_model_name and parser:
output_fix_model = get_model(output_fixing_model_name, model_type="language")
chain = chain | OutputFixingParser.from_llm(
parser=parser,
llm=output_fix_model,
)
system_prompt = Prompter(prompt_template=pattern_name, parser=parser).render(
data=state
)
if len(messages) > 0:
response = chain.invoke([system_prompt] + messages)
else:
response = chain.invoke(system_prompt)
return response