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from typing import Literal, cast
from openai import AzureOpenAI
from neollm.llm.abstract_llm import AbstractLLM
from neollm.llm.gpt.abstract_gpt import AbstractGPT
from neollm.types import (
APIPricing,
ClientSettings,
LLMSettings,
Messages,
Response,
StreamResponse,
)
from neollm.utils.utils import cprint, ensure_env_var, suport_unrecomended_env_var
suport_unrecomended_env_var(old_key="AZURE_API_BASE", new_key="AZURE_OPENAI_ENDPOINT")
suport_unrecomended_env_var(old_key="AZURE_API_VERSION", new_key="OPENAI_API_VERSION")
# 0613なし
suport_unrecomended_env_var(old_key="AZURE_ENGINE_GPT35", new_key="AZURE_ENGINE_GPT35T_0613")
suport_unrecomended_env_var(old_key="AZURE_ENGINE_GPT35_16k", new_key="AZURE_ENGINE_GPT35T_16K_0613")
suport_unrecomended_env_var(old_key="AZURE_ENGINE_GPT4", new_key="AZURE_ENGINE_GPT4_0613")
suport_unrecomended_env_var(old_key="AZURE_ENGINE_GPT4_32k", new_key="AZURE_ENGINE_GPT4_32K_0613")
# turbo抜け
suport_unrecomended_env_var(old_key="AZURE_ENGINE_GPT35_0613", new_key="AZURE_ENGINE_GPT35T_0613")
suport_unrecomended_env_var(old_key="AZURE_ENGINE_GPT35_16K_0613", new_key="AZURE_ENGINE_GPT35T_16K_0613")
# Pricing: https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/
SUPPORTED_MODELS = Literal[
"gpt-4o-2024-05-13",
"gpt-4-turbo-2024-04-09",
"gpt-3.5-turbo-0125",
"gpt-4-turbo-0125",
"gpt-3.5-turbo-1106",
"gpt-4-turbo-1106",
"gpt-4v-turbo-1106",
"gpt-3.5-turbo-0613",
"gpt-3.5-turbo-16k-0613",
"gpt-4-0613",
"gpt-4-32k-0613",
]
def get_azure_llm(model_name: SUPPORTED_MODELS | str, client_settings: ClientSettings) -> AbstractLLM:
# 表記変更
model_name = model_name.replace("gpt-35-turbo", "gpt-3.5-turbo")
# Add 日付
replace_map_for_nodate: dict[str, SUPPORTED_MODELS] = {
"gpt-4o": "gpt-4o-2024-05-13",
"gpt-3.5-turbo": "gpt-3.5-turbo-0613",
"gpt-3.5-turbo-16k": "gpt-3.5-turbo-16k-0613",
"gpt-4": "gpt-4-0613",
"gpt-4-32k": "gpt-4-32k-0613",
"gpt-4-turbo": "gpt-4-turbo-1106",
"gpt-4v-turbo": "gpt-4v-turbo-1106",
}
if model_name in replace_map_for_nodate:
cprint("WARNING: model_nameに日付を指定してください", color="yellow", background=True)
print(f"model_name: {model_name} -> {replace_map_for_nodate[model_name]}")
model_name = replace_map_for_nodate[model_name]
# map to LLM
supported_model_map: dict[SUPPORTED_MODELS, AbstractLLM] = {
"gpt-4o-2024-05-13": AzureGPT4O_20240513(client_settings),
"gpt-4-turbo-2024-04-09": AzureGPT4T_20240409(client_settings),
"gpt-3.5-turbo-0125": AzureGPT35T_0125(client_settings),
"gpt-4-turbo-0125": AzureGPT4T_0125(client_settings),
"gpt-3.5-turbo-1106": AzureGPT35T_1106(client_settings),
"gpt-4-turbo-1106": AzureGPT4T_1106(client_settings),
"gpt-4v-turbo-1106": AzureGPT4VT_1106(client_settings),
"gpt-3.5-turbo-0613": AzureGPT35T_0613(client_settings),
"gpt-3.5-turbo-16k-0613": AzureGPT35T16k_0613(client_settings),
"gpt-4-0613": AzureGPT4_0613(client_settings),
"gpt-4-32k-0613": AzureGPT432k_0613(client_settings),
}
# 通常モデル
if model_name in supported_model_map:
model_name = cast(SUPPORTED_MODELS, model_name)
return supported_model_map[model_name]
# FTモデル
return AzureGPT35FT(model_name, client_settings)
class AzureLLM(AbstractGPT):
_engine_name_env_key: str | None = None
@property
def client(self) -> AzureOpenAI:
client: AzureOpenAI = AzureOpenAI(**self.client_settings)
# api_key: str | None = (None,)
# timeout: httpx.Timeout(timeout=600.0, connect=5.0)
# max_retries: int = 2
return client
@property
def engine(self) -> str:
return ensure_env_var(self._engine_name_env_key)
def generate(self, messages: Messages, llm_settings: LLMSettings) -> Response:
openai_response = self.client.chat.completions.create(
model=self.engine,
messages=self._convert_to_platform_messages(messages),
stream=False,
**llm_settings,
)
response = self._convert_to_response(openai_response)
return response
def generate_stream(self, messages: Messages, llm_settings: LLMSettings) -> StreamResponse:
platform_stream_response = self.client.chat.completions.create(
model=self.engine,
messages=self._convert_to_platform_messages(messages),
stream=True,
**llm_settings,
)
stream_response = self._convert_to_streamresponse(platform_stream_response)
return stream_response
# omni 2024-05-13 --------------------------------------------------------------------------------------------
class AzureGPT4O_20240513(AzureLLM):
dollar_per_ktoken = APIPricing(input=0.005, output=0.015) # 30倍/45倍
model: str = "gpt-4o-2024-05-13"
_engine_name_env_key: str = "AZURE_ENGINE_GPT4O_20240513"
context_window: int = 128_000
# 2024-04-09 --------------------------------------------------------------------------------------------
class AzureGPT4T_20240409(AzureLLM):
dollar_per_ktoken = APIPricing(input=0.01, output=0.03)
model: str = "gpt-4-turbo-2024-04-09"
_engine_name_env_key: str = "AZURE_ENGINE_GPT4T_20240409"
context_window: int = 128_000
# 0125 --------------------------------------------------------------------------------------------
class AzureGPT35T_0125(AzureLLM):
dollar_per_ktoken = APIPricing(input=0.0005, output=0.0015)
model: str = "gpt-3.5-turbo-0125"
_engine_name_env_key: str = "AZURE_ENGINE_GPT35T_0125"
context_window: int = 16_385
class AzureGPT4T_0125(AzureLLM):
dollar_per_ktoken = APIPricing(input=0.01, output=0.03)
model: str = "gpt-4-turbo-0125"
_engine_name_env_key: str = "AZURE_ENGINE_GPT4T_0125"
context_window: int = 128_000
# 1106 --------------------------------------------------------------------------------------------
class AzureGPT35T_1106(AzureLLM):
dollar_per_ktoken = APIPricing(input=0.001, output=0.002)
model: str = "gpt-3.5-turbo-1106"
_engine_name_env_key: str = "AZURE_ENGINE_GPT35T_1106"
context_window: int = 16_385
class AzureGPT4VT_1106(AzureLLM):
dollar_per_ktoken = APIPricing(input=0.01, output=0.03) # 10倍/15倍
model: str = "gpt-4-1106-vision-preview"
_engine_name_env_key: str = "AZURE_ENGINE_GPT4VT_1106"
context_window: int = 128_000
class AzureGPT4T_1106(AzureLLM):
dollar_per_ktoken = APIPricing(input=0.01, output=0.03)
model: str = "gpt-4-turbo-1106"
_engine_name_env_key: str = "AZURE_ENGINE_GPT4T_1106"
context_window: int = 128_000
# FT --------------------------------------------------------------------------------------------
class AzureGPT35FT(AzureLLM):
dollar_per_ktoken = APIPricing(input=0.0005, output=0.0015) # 1倍 + セッション稼働時間
model: str = "gpt-3.5-turbo-ft"
context_window: int = 4_096
def __init__(self, model_name: str, client_setting: ClientSettings) -> None:
super().__init__(client_setting)
self._engine = model_name
@property
def engine(self) -> str:
return self._engine
# 0613 --------------------------------------------------------------------------------------------
class AzureGPT35T_0613(AzureLLM):
dollar_per_ktoken = APIPricing(input=0.0015, output=0.002)
model: str = "gpt-3.5-turbo-0613"
_engine_name_env_key: str = "AZURE_ENGINE_GPT35T_0613"
context_window: int = 4_096
class AzureGPT35T16k_0613(AzureLLM):
dollar_per_ktoken = APIPricing(input=0.003, output=0.004) # 2倍
model: str = "gpt-3.5-turbo-16k-0613"
_engine_name_env_key: str = "AZURE_ENGINE_GPT35T_16K_0613"
context_window: int = 16_385
class AzureGPT4_0613(AzureLLM):
dollar_per_ktoken = APIPricing(input=0.03, output=0.06) # 20倍/30倍
model: str = "gpt-4-0613"
_engine_name_env_key: str = "AZURE_ENGINE_GPT4_0613"
context_window: int = 8_192
class AzureGPT432k_0613(AzureLLM):
dollar_per_ktoken = APIPricing(input=0.06, output=0.12) # 40倍/60倍
model: str = "gpt-4-32k-0613"
_engine_name_env_key: str = "AZURE_ENGINE_GPT4_32K_0613"
context_window: int = 32_768
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