File size: 10,098 Bytes
4304c6d |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 |
from collections.abc import Generator
from typing import IO, Optional, Union, cast
from core.entities.provider_configuration import ProviderModelBundle
from core.errors.error import ProviderTokenNotInitError
from core.model_runtime.callbacks.base_callback import Callback
from core.model_runtime.entities.llm_entities import LLMResult
from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool
from core.model_runtime.entities.model_entities import ModelType
from core.model_runtime.entities.rerank_entities import RerankResult
from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
from core.model_runtime.model_providers.__base.moderation_model import ModerationModel
from core.model_runtime.model_providers.__base.rerank_model import RerankModel
from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel
from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
from core.model_runtime.model_providers.__base.tts_model import TTSModel
from core.provider_manager import ProviderManager
class ModelInstance:
"""
Model instance class
"""
def __init__(self, provider_model_bundle: ProviderModelBundle, model: str) -> None:
self.provider_model_bundle = provider_model_bundle
self.model = model
self.provider = provider_model_bundle.configuration.provider.provider
self.credentials = self._fetch_credentials_from_bundle(provider_model_bundle, model)
self.model_type_instance = self.provider_model_bundle.model_type_instance
def _fetch_credentials_from_bundle(self, provider_model_bundle: ProviderModelBundle, model: str) -> dict:
"""
Fetch credentials from provider model bundle
:param provider_model_bundle: provider model bundle
:param model: model name
:return:
"""
credentials = provider_model_bundle.configuration.get_current_credentials(
model_type=provider_model_bundle.model_type_instance.model_type,
model=model
)
if credentials is None:
raise ProviderTokenNotInitError(f"Model {model} credentials is not initialized.")
return credentials
def invoke_llm(self, prompt_messages: list[PromptMessage], model_parameters: Optional[dict] = None,
tools: Optional[list[PromptMessageTool]] = None, stop: Optional[list[str]] = None,
stream: bool = True, user: Optional[str] = None, callbacks: list[Callback] = None) \
-> Union[LLMResult, Generator]:
"""
Invoke large language model
:param prompt_messages: prompt messages
:param model_parameters: model parameters
:param tools: tools for tool calling
:param stop: stop words
:param stream: is stream response
:param user: unique user id
:param callbacks: callbacks
:return: full response or stream response chunk generator result
"""
if not isinstance(self.model_type_instance, LargeLanguageModel):
raise Exception("Model type instance is not LargeLanguageModel")
self.model_type_instance = cast(LargeLanguageModel, self.model_type_instance)
return self.model_type_instance.invoke(
model=self.model,
credentials=self.credentials,
prompt_messages=prompt_messages,
model_parameters=model_parameters,
tools=tools,
stop=stop,
stream=stream,
user=user,
callbacks=callbacks
)
def invoke_text_embedding(self, texts: list[str], user: Optional[str] = None) \
-> TextEmbeddingResult:
"""
Invoke large language model
:param texts: texts to embed
:param user: unique user id
:return: embeddings result
"""
if not isinstance(self.model_type_instance, TextEmbeddingModel):
raise Exception("Model type instance is not TextEmbeddingModel")
self.model_type_instance = cast(TextEmbeddingModel, self.model_type_instance)
return self.model_type_instance.invoke(
model=self.model,
credentials=self.credentials,
texts=texts,
user=user
)
def invoke_rerank(self, query: str, docs: list[str], score_threshold: Optional[float] = None,
top_n: Optional[int] = None,
user: Optional[str] = None) \
-> RerankResult:
"""
Invoke rerank model
:param query: search query
:param docs: docs for reranking
:param score_threshold: score threshold
:param top_n: top n
:param user: unique user id
:return: rerank result
"""
if not isinstance(self.model_type_instance, RerankModel):
raise Exception("Model type instance is not RerankModel")
self.model_type_instance = cast(RerankModel, self.model_type_instance)
return self.model_type_instance.invoke(
model=self.model,
credentials=self.credentials,
query=query,
docs=docs,
score_threshold=score_threshold,
top_n=top_n,
user=user
)
def invoke_moderation(self, text: str, user: Optional[str] = None) \
-> bool:
"""
Invoke moderation model
:param text: text to moderate
:param user: unique user id
:return: false if text is safe, true otherwise
"""
if not isinstance(self.model_type_instance, ModerationModel):
raise Exception("Model type instance is not ModerationModel")
self.model_type_instance = cast(ModerationModel, self.model_type_instance)
return self.model_type_instance.invoke(
model=self.model,
credentials=self.credentials,
text=text,
user=user
)
def invoke_speech2text(self, file: IO[bytes], user: Optional[str] = None) \
-> str:
"""
Invoke large language model
:param file: audio file
:param user: unique user id
:return: text for given audio file
"""
if not isinstance(self.model_type_instance, Speech2TextModel):
raise Exception("Model type instance is not Speech2TextModel")
self.model_type_instance = cast(Speech2TextModel, self.model_type_instance)
return self.model_type_instance.invoke(
model=self.model,
credentials=self.credentials,
file=file,
user=user
)
def invoke_tts(self, content_text: str, tenant_id: str, voice: str, streaming: bool, user: Optional[str] = None) \
-> str:
"""
Invoke large language tts model
:param content_text: text content to be translated
:param tenant_id: user tenant id
:param user: unique user id
:param voice: model timbre
:param streaming: output is streaming
:return: text for given audio file
"""
if not isinstance(self.model_type_instance, TTSModel):
raise Exception("Model type instance is not TTSModel")
self.model_type_instance = cast(TTSModel, self.model_type_instance)
return self.model_type_instance.invoke(
model=self.model,
credentials=self.credentials,
content_text=content_text,
user=user,
tenant_id=tenant_id,
voice=voice,
streaming=streaming
)
def get_tts_voices(self, language: str) -> list:
"""
Invoke large language tts model voices
:param language: tts language
:return: tts model voices
"""
if not isinstance(self.model_type_instance, TTSModel):
raise Exception("Model type instance is not TTSModel")
self.model_type_instance = cast(TTSModel, self.model_type_instance)
return self.model_type_instance.get_tts_model_voices(
model=self.model,
credentials=self.credentials,
language=language
)
class ModelManager:
def __init__(self) -> None:
self._provider_manager = ProviderManager()
def get_model_instance(self, tenant_id: str, provider: str, model_type: ModelType, model: str) -> ModelInstance:
"""
Get model instance
:param tenant_id: tenant id
:param provider: provider name
:param model_type: model type
:param model: model name
:return:
"""
if not provider:
return self.get_default_model_instance(tenant_id, model_type)
provider_model_bundle = self._provider_manager.get_provider_model_bundle(
tenant_id=tenant_id,
provider=provider,
model_type=model_type
)
return ModelInstance(provider_model_bundle, model)
def get_default_model_instance(self, tenant_id: str, model_type: ModelType) -> ModelInstance:
"""
Get default model instance
:param tenant_id: tenant id
:param model_type: model type
:return:
"""
default_model_entity = self._provider_manager.get_default_model(
tenant_id=tenant_id,
model_type=model_type
)
if not default_model_entity:
raise ProviderTokenNotInitError(f"Default model not found for {model_type}")
return self.get_model_instance(
tenant_id=tenant_id,
provider=default_model_entity.provider.provider,
model_type=model_type,
model=default_model_entity.model
)
|