mirror of
https://github.com/BerriAI/litellm.git
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259 lines
9.1 KiB
Python
259 lines
9.1 KiB
Python
# import traceback
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# from typing import Optional
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# import httpx
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# from fastapi import APIRouter, HTTPException, Request, Response, status
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# import litellm
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# from litellm._logging import verbose_proxy_logger
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# from litellm.fine_tuning.main import vertex_fine_tuning_apis_instance
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# from litellm.proxy._types import *
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# from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
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# from litellm.proxy.pass_through_endpoints.pass_through_endpoints import (
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# create_pass_through_route,
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# )
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# from litellm.secret_managers.main import get_secret_str
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# from litellm.types.passthrough_endpoints.vertex_ai import *
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# from .vertex_passthrough_router import VertexPassThroughRouter
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# router = APIRouter()
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# vertex_pass_through_router = VertexPassThroughRouter()
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# default_vertex_config: Optional[VertexPassThroughCredentials] = None
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# def _get_vertex_env_vars() -> VertexPassThroughCredentials:
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# """
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# Helper to get vertex pass through config from environment variables
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# The following environment variables are used:
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# - DEFAULT_VERTEXAI_PROJECT (project id)
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# - DEFAULT_VERTEXAI_LOCATION (location)
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# - DEFAULT_GOOGLE_APPLICATION_CREDENTIALS (path to credentials file)
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# """
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# return VertexPassThroughCredentials(
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# vertex_project=get_secret_str("DEFAULT_VERTEXAI_PROJECT"),
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# vertex_location=get_secret_str("DEFAULT_VERTEXAI_LOCATION"),
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# vertex_credentials=get_secret_str("DEFAULT_GOOGLE_APPLICATION_CREDENTIALS"),
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# )
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# def set_default_vertex_config(config: Optional[dict] = None):
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# """Sets vertex configuration from provided config and/or environment variables
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# Args:
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# config (Optional[dict]): Configuration dictionary
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# Example: {
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# "vertex_project": "my-project-123",
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# "vertex_location": "us-central1",
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# "vertex_credentials": "os.environ/GOOGLE_CREDS"
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# }
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# """
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# global default_vertex_config
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# # Initialize config dictionary if None
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# if config is None:
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# default_vertex_config = _get_vertex_env_vars()
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# return
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# if isinstance(config, dict):
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# for key, value in config.items():
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# if isinstance(value, str) and value.startswith("os.environ/"):
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# config[key] = litellm.get_secret(value)
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# _set_default_vertex_config(VertexPassThroughCredentials(**config))
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# def _set_default_vertex_config(
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# vertex_pass_through_credentials: VertexPassThroughCredentials,
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# ):
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# global default_vertex_config
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# default_vertex_config = vertex_pass_through_credentials
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# def exception_handler(e: Exception):
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# verbose_proxy_logger.error(
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# "litellm.proxy.proxy_server.v1/projects/tuningJobs(): Exception occurred - {}".format(
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# str(e)
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# )
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# )
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# verbose_proxy_logger.debug(traceback.format_exc())
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# if isinstance(e, HTTPException):
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# return ProxyException(
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# message=getattr(e, "message", str(e.detail)),
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# type=getattr(e, "type", "None"),
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# param=getattr(e, "param", "None"),
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# code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
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# )
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# else:
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# error_msg = f"{str(e)}"
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# return ProxyException(
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# message=getattr(e, "message", error_msg),
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# type=getattr(e, "type", "None"),
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# param=getattr(e, "param", "None"),
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# code=getattr(e, "status_code", 500),
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# )
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# def construct_target_url(
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# base_url: str,
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# requested_route: str,
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# default_vertex_location: Optional[str],
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# default_vertex_project: Optional[str],
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# ) -> httpx.URL:
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# """
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# Allow user to specify their own project id / location.
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# If missing, use defaults
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# Handle cachedContent scenario - https://github.com/BerriAI/litellm/issues/5460
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# Constructed Url:
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# POST https://LOCATION-aiplatform.googleapis.com/{version}/projects/PROJECT_ID/locations/LOCATION/cachedContents
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# """
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# new_base_url = httpx.URL(base_url)
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# if "locations" in requested_route: # contains the target project id + location
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# updated_url = new_base_url.copy_with(path=requested_route)
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# return updated_url
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# """
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# - Add endpoint version (e.g. v1beta for cachedContent, v1 for rest)
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# - Add default project id
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# - Add default location
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# """
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# vertex_version: Literal["v1", "v1beta1"] = "v1"
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# if "cachedContent" in requested_route:
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# vertex_version = "v1beta1"
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# base_requested_route = "{}/projects/{}/locations/{}".format(
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# vertex_version, default_vertex_project, default_vertex_location
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# )
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# updated_requested_route = "/" + base_requested_route + requested_route
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# updated_url = new_base_url.copy_with(path=updated_requested_route)
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# return updated_url
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# @router.api_route(
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# "/vertex-ai/{endpoint:path}",
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# methods=["GET", "POST", "PUT", "DELETE", "PATCH"],
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# tags=["Vertex AI Pass-through", "pass-through"],
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# include_in_schema=False,
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# )
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# @router.api_route(
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# "/vertex_ai/{endpoint:path}",
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# methods=["GET", "POST", "PUT", "DELETE", "PATCH"],
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# tags=["Vertex AI Pass-through", "pass-through"],
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# )
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# async def vertex_proxy_route(
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# endpoint: str,
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# request: Request,
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# fastapi_response: Response,
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# ):
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# """
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# Call LiteLLM proxy via Vertex AI SDK.
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# [Docs](https://docs.litellm.ai/docs/pass_through/vertex_ai)
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# """
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# encoded_endpoint = httpx.URL(endpoint).path
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# verbose_proxy_logger.debug("requested endpoint %s", endpoint)
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# headers: dict = {}
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# api_key_to_use = get_litellm_virtual_key(request=request)
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# user_api_key_dict = await user_api_key_auth(
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# request=request,
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# api_key=api_key_to_use,
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# )
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# vertex_project: Optional[str] = (
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# VertexPassThroughRouter._get_vertex_project_id_from_url(endpoint)
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# )
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# vertex_location: Optional[str] = (
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# VertexPassThroughRouter._get_vertex_location_from_url(endpoint)
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# )
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# vertex_credentials = vertex_pass_through_router.get_vertex_credentials(
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# project_id=vertex_project,
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# location=vertex_location,
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# )
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# # Use headers from the incoming request if no vertex credentials are found
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# if vertex_credentials.vertex_project is None:
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# headers = dict(request.headers) or {}
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# verbose_proxy_logger.debug(
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# "default_vertex_config not set, incoming request headers %s", headers
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# )
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# base_target_url = f"https://{vertex_location}-aiplatform.googleapis.com/"
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# headers.pop("content-length", None)
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# headers.pop("host", None)
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# else:
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# vertex_project = vertex_credentials.vertex_project
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# vertex_location = vertex_credentials.vertex_location
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# vertex_credentials_str = vertex_credentials.vertex_credentials
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# # Construct base URL for the target endpoint
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# base_target_url = f"https://{vertex_location}-aiplatform.googleapis.com/"
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# _auth_header, vertex_project = (
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# await vertex_fine_tuning_apis_instance._ensure_access_token_async(
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# credentials=vertex_credentials_str,
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# project_id=vertex_project,
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# custom_llm_provider="vertex_ai_beta",
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# )
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# )
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# auth_header, _ = vertex_fine_tuning_apis_instance._get_token_and_url(
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# model="",
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# auth_header=_auth_header,
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# gemini_api_key=None,
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# vertex_credentials=vertex_credentials_str,
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# vertex_project=vertex_project,
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# vertex_location=vertex_location,
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# stream=False,
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# custom_llm_provider="vertex_ai_beta",
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# api_base="",
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# )
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# headers = {
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# "Authorization": f"Bearer {auth_header}",
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# }
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# request_route = encoded_endpoint
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# verbose_proxy_logger.debug("request_route %s", request_route)
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# # Ensure endpoint starts with '/' for proper URL construction
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# if not encoded_endpoint.startswith("/"):
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# encoded_endpoint = "/" + encoded_endpoint
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# # Construct the full target URL using httpx
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# updated_url = construct_target_url(
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# base_url=base_target_url,
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# requested_route=encoded_endpoint,
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# default_vertex_location=vertex_location,
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# default_vertex_project=vertex_project,
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# )
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# # base_url = httpx.URL(base_target_url)
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# # updated_url = base_url.copy_with(path=encoded_endpoint)
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# verbose_proxy_logger.debug("updated url %s", updated_url)
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# ## check for streaming
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# target = str(updated_url)
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# is_streaming_request = False
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# if "stream" in str(updated_url):
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# is_streaming_request = True
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# target += "?alt=sse"
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# ## CREATE PASS-THROUGH
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# endpoint_func = create_pass_through_route(
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# endpoint=endpoint,
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# target=target,
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# custom_headers=headers,
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# ) # dynamically construct pass-through endpoint based on incoming path
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# received_value = await endpoint_func(
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# request,
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# fastapi_response,
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# user_api_key_dict,
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# stream=is_streaming_request, # type: ignore
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# )
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# return received_value
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