wehub-resource-sync
e768098d0e
tools_continuous_delivery / Private PyPI non-main branch release (push) Has been skipped
tools_continuous_delivery / Private PyPI main branch release (push) Failing after 2m42s
Publish Promptflow Doc / Build (push) Has been cancelled
Publish Promptflow Doc / Deploy (push) Has been cancelled
Flake8 Lint / flake8 (push) Has been cancelled
Spell check CI / Spell_Check (push) Has been cancelled
45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
from typing import Union
|
|
|
|
from utils import llm_call
|
|
|
|
from promptflow._core.tool import InputSetting
|
|
from promptflow.connections import AzureOpenAIConnection, OpenAIConnection
|
|
from promptflow.core import tool
|
|
|
|
|
|
@tool(
|
|
input_settings={
|
|
"deployment_name": InputSetting(
|
|
enabled_by="connection",
|
|
enabled_by_type=["AzureOpenAIConnection"],
|
|
capabilities={"completion": False, "chat_completion": True, "embeddings": False},
|
|
),
|
|
"model": InputSetting(enabled_by="connection", enabled_by_type=["OpenAIConnection"]),
|
|
}
|
|
)
|
|
def generate_suggested_answer(
|
|
connection: Union[OpenAIConnection, AzureOpenAIConnection],
|
|
question: str,
|
|
context: str,
|
|
generate_suggested_answer_prompt: str,
|
|
deployment_name: str = "",
|
|
model: str = "",
|
|
temperature: float = 0.2,
|
|
):
|
|
"""
|
|
Generates a suggested answer based on the given prompts and context information.
|
|
|
|
Returns:
|
|
str: The generated suggested answer.
|
|
"""
|
|
if question and context:
|
|
return llm_call(
|
|
connection,
|
|
model,
|
|
deployment_name,
|
|
generate_suggested_answer_prompt,
|
|
temperature=temperature,
|
|
)
|
|
else:
|
|
return ""
|