File size: 2,740 Bytes
469eae6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
from abc import abstractmethod
from typing import TYPE_CHECKING, Any, List, Optional, Union

import httpx

from litellm.types.llms.openai import (
    AllMessageValues,
    CreateFileRequest,
    OpenAICreateFileRequestOptionalParams,
    OpenAIFileObject,
)
from litellm.types.utils import LlmProviders, ModelResponse

from ..chat.transformation import BaseConfig

if TYPE_CHECKING:
    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj

    LiteLLMLoggingObj = _LiteLLMLoggingObj
else:
    LiteLLMLoggingObj = Any


class BaseFilesConfig(BaseConfig):
    @property
    @abstractmethod
    def custom_llm_provider(self) -> LlmProviders:
        pass

    @abstractmethod
    def get_supported_openai_params(
        self, model: str
    ) -> List[OpenAICreateFileRequestOptionalParams]:
        pass

    def get_complete_file_url(
        self,
        api_base: Optional[str],
        api_key: Optional[str],
        model: str,
        optional_params: dict,
        litellm_params: dict,
        data: CreateFileRequest,
    ):
        return self.get_complete_url(
            api_base=api_base,
            api_key=api_key,
            model=model,
            optional_params=optional_params,
            litellm_params=litellm_params,
        )

    @abstractmethod
    def transform_create_file_request(
        self,
        model: str,
        create_file_data: CreateFileRequest,
        optional_params: dict,
        litellm_params: dict,
    ) -> Union[dict, str, bytes]:
        pass

    @abstractmethod
    def transform_create_file_response(
        self,
        model: Optional[str],
        raw_response: httpx.Response,
        logging_obj: LiteLLMLoggingObj,
        litellm_params: dict,
    ) -> OpenAIFileObject:
        pass

    def transform_request(
        self,
        model: str,
        messages: List[AllMessageValues],
        optional_params: dict,
        litellm_params: dict,
        headers: dict,
    ) -> dict:
        raise NotImplementedError(
            "AudioTranscriptionConfig does not need a request transformation for audio transcription models"
        )

    def transform_response(
        self,
        model: str,
        raw_response: httpx.Response,
        model_response: ModelResponse,
        logging_obj: LiteLLMLoggingObj,
        request_data: dict,
        messages: List[AllMessageValues],
        optional_params: dict,
        litellm_params: dict,
        encoding: Any,
        api_key: Optional[str] = None,
        json_mode: Optional[bool] = None,
    ) -> ModelResponse:
        raise NotImplementedError(
            "AudioTranscriptionConfig does not need a response transformation for audio transcription models"
        )