mirror of
https://github.com/BerriAI/litellm.git
synced 2026-10-09 03:18:44 +00:00
Update transformation.py
This commit is contained in:
parent
8765f4d277
commit
fb80d55127
1 changed files with 23 additions and 32 deletions
|
|
@ -13,6 +13,7 @@ from typing import Any, Callable, Dict, List, Optional, Union, cast
|
|||
import httpx
|
||||
|
||||
from litellm.llms.base_llm.chat.transformation import BaseLLMException
|
||||
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
|
||||
from litellm.llms.openai.chat.gpt_transformation import OpenAIGPTConfig
|
||||
from litellm.types.llms.openai import AllMessageValues
|
||||
from litellm.types.utils import ModelResponse
|
||||
|
|
@ -138,7 +139,7 @@ class VertexGemmaConfig(OpenAIGPTConfig):
|
|||
acompletion: bool,
|
||||
litellm_params: dict,
|
||||
logger_fn: Optional[Callable] = None,
|
||||
client: Optional[httpx.Client] = None,
|
||||
client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
|
||||
timeout: Optional[Union[float, httpx.Timeout]] = None,
|
||||
encoding=None,
|
||||
custom_llm_provider: str = "vertex_ai",
|
||||
|
|
@ -158,7 +159,7 @@ class VertexGemmaConfig(OpenAIGPTConfig):
|
|||
logging_obj=logging_obj,
|
||||
optional_params=optional_params,
|
||||
litellm_params=litellm_params,
|
||||
client= client,
|
||||
client=client,
|
||||
timeout=timeout,
|
||||
encoding=encoding,
|
||||
)
|
||||
|
|
@ -173,7 +174,7 @@ class VertexGemmaConfig(OpenAIGPTConfig):
|
|||
logging_obj=logging_obj,
|
||||
optional_params=optional_params,
|
||||
litellm_params=litellm_params,
|
||||
client= client,
|
||||
client=client,
|
||||
timeout=timeout,
|
||||
encoding=encoding,
|
||||
)
|
||||
|
|
@ -189,12 +190,11 @@ class VertexGemmaConfig(OpenAIGPTConfig):
|
|||
logging_obj: Any,
|
||||
optional_params: dict,
|
||||
litellm_params: dict,
|
||||
client: Any = None,
|
||||
timeout: Optional[Union[float, httpx.Timeout]]= None,
|
||||
encoding: Any= None,
|
||||
client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
|
||||
timeout: Optional[Union[float, httpx.Timeout]] = None,
|
||||
encoding: Any = None,
|
||||
):
|
||||
"""Synchronous completion request"""
|
||||
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
|
||||
from litellm.utils import convert_to_model_response_object
|
||||
|
||||
# Check if streaming is requested (will be faked)
|
||||
|
|
@ -226,17 +226,17 @@ class VertexGemmaConfig(OpenAIGPTConfig):
|
|||
)
|
||||
|
||||
# Make the HTTP request
|
||||
if client is None or isinstance(client, (httpx.AsyncClient, AsyncHTTPHandler)):
|
||||
if client is None or not isinstance(client, HTTPHandler):
|
||||
http_handler = HTTPHandler(concurrent_limit=1)
|
||||
elif isinstance(client, httpx.Client):
|
||||
http_handler = HTTPHandler(client=client)
|
||||
elif isinstance(client, HTTPHandler):
|
||||
http_handler = client
|
||||
else:
|
||||
raise BaseLLMException(
|
||||
status_code=400,
|
||||
message=f"Invalid sync client type: {type(client)}. Expected HTTPHandler or httpx.Client.",
|
||||
)
|
||||
http_handler = client
|
||||
|
||||
response = http_handler.post(
|
||||
url=api_base,
|
||||
headers=headers,
|
||||
json=request_data,
|
||||
timeout=timeout,
|
||||
)
|
||||
|
||||
if response.status_code != 200:
|
||||
raise BaseLLMException(
|
||||
|
|
@ -286,16 +286,12 @@ class VertexGemmaConfig(OpenAIGPTConfig):
|
|||
logging_obj: Any,
|
||||
optional_params: dict,
|
||||
litellm_params: dict,
|
||||
client: Optional[Any]= None,
|
||||
timeout: Optional[Union[float, httpx.Timeout]]= None,
|
||||
encoding: Any= None,
|
||||
client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
|
||||
timeout: Optional[Union[float, httpx.Timeout]] = None,
|
||||
encoding: Any = None,
|
||||
):
|
||||
"""Asynchronous completion request"""
|
||||
from litellm.llms.custom_httpx.http_handler import (
|
||||
AsyncHTTPHandler,
|
||||
HTTPHandler,
|
||||
get_async_httpx_client,
|
||||
)
|
||||
from litellm.llms.custom_httpx.http_handler import get_async_httpx_client
|
||||
from litellm.types.utils import LlmProviders
|
||||
from litellm.utils import convert_to_model_response_object
|
||||
|
||||
|
|
@ -328,18 +324,13 @@ class VertexGemmaConfig(OpenAIGPTConfig):
|
|||
)
|
||||
|
||||
# Make the HTTP request
|
||||
if client is None or isinstance(client, (httpx.Client, HTTPHandler)):
|
||||
if client is None or not isinstance(client, AsyncHTTPHandler):
|
||||
http_handler = get_async_httpx_client(
|
||||
llm_provider=LlmProviders.VERTEX_AI,
|
||||
)
|
||||
elif isinstance(client, (httpx.AsyncClient, AsyncHTTPHandler)):
|
||||
http_handler = client
|
||||
else:
|
||||
raise BaseLLMException(
|
||||
status_code=400,
|
||||
message=f"Invalid async client type: {type(client)}. Expected AsyncHTTPHandler or httpx.AsyncClient.",
|
||||
)
|
||||
|
||||
http_handler = client
|
||||
|
||||
response = await http_handler.post(
|
||||
url=api_base,
|
||||
headers=headers,
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue