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from typing import List, Optional, Tuple
from litellm._logging import verbose_logger
from litellm.integrations.custom_prompt_management import CustomPromptManagement
from litellm.types.llms.openai import AllMessageValues
from litellm.types.utils import StandardCallbackDynamicParams
class X42PromptManagement(CustomPromptManagement):
def get_chat_completion_prompt(
self,
model: str,
messages: List[AllMessageValues],
non_default_params: dict,
prompt_id: Optional[str],
prompt_variables: Optional[dict],
dynamic_callback_params: StandardCallbackDynamicParams,
) -> Tuple[str, List[AllMessageValues], dict]:
"""
Returns:
- model: str - the model to use (can be pulled from prompt management tool)
- messages: List[AllMessageValues] - the messages to use (can be pulled from prompt management tool)
- non_default_params: dict - update with any optional params (e.g. temperature, max_tokens, etc.) to use (can be pulled from prompt management tool)
"""
verbose_logger.debug(
f"in async get chat completion prompt. Prompt ID: {prompt_id}, Prompt Variables: {prompt_variables}, Dynamic Callback Params: {dynamic_callback_params}"
)
return model, messages, non_default_params
@property
def integration_name(self) -> str:
return "x42-prompt-management"
x42_prompt_management = X42PromptManagement()
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