Files
DocsGPT/application/llm/base.py
2025-04-07 20:15:11 +05:30

67 lines
2.0 KiB
Python

from abc import ABC, abstractmethod
from application.cache import gen_cache, stream_cache
from application.usage import gen_token_usage, stream_token_usage
class BaseLLM(ABC):
def __init__(self, decoded_token=None):
self.decoded_token = decoded_token
self.token_usage = {"prompt_tokens": 0, "generated_tokens": 0}
def _apply_decorator(self, method, decorators, *args, **kwargs):
for decorator in decorators:
method = decorator(method)
return method(self, *args, **kwargs)
@abstractmethod
def _raw_gen(self, model, messages, stream, tools, *args, **kwargs):
pass
def gen(self, model, messages, stream=False, tools=None, *args, **kwargs):
decorators = [gen_token_usage, gen_cache]
return self._apply_decorator(
self._raw_gen,
decorators=decorators,
model=model,
messages=messages,
stream=stream,
tools=tools,
*args,
**kwargs
)
@abstractmethod
def _raw_gen_stream(self, model, messages, stream, *args, **kwargs):
pass
def gen_stream(self, model, messages, stream=True, tools=None, *args, **kwargs):
decorators = [stream_cache, stream_token_usage]
return self._apply_decorator(
self._raw_gen_stream,
decorators=decorators,
model=model,
messages=messages,
stream=stream,
tools=tools,
*args,
**kwargs
)
def supports_tools(self):
return hasattr(self, "_supports_tools") and callable(
getattr(self, "_supports_tools")
)
def _supports_tools(self):
raise NotImplementedError("Subclass must implement _supports_tools method")
def get_supported_attachment_types(self):
"""
Return a list of MIME types supported by this LLM for file uploads.
Returns:
list: List of supported MIME types
"""
return [] # Default: no attachments supported