two version of R2R are here HEAD master

1 files changed, 274 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/litellm/proxy/vertex_ai_endpoints/vertex_endpoints.py b/.venv/lib/python3.12/site-packages/litellm/proxy/vertex_ai_endpoints/vertex_endpoints.py
new file mode 100644
index 00000000..7444e3d1
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/litellm/proxy/vertex_ai_endpoints/vertex_endpoints.py
@@ -0,0 +1,274 @@
+import traceback
+from typing import Optional
+
+import httpx
+from fastapi import APIRouter, HTTPException, Request, Response, status
+
+import litellm
+from litellm._logging import verbose_proxy_logger
+from litellm.fine_tuning.main import vertex_fine_tuning_apis_instance
+from litellm.proxy._types import *
+from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
+from litellm.proxy.pass_through_endpoints.pass_through_endpoints import (
+    create_pass_through_route,
+)
+from litellm.secret_managers.main import get_secret_str
+from litellm.types.passthrough_endpoints.vertex_ai import *
+
+from .vertex_passthrough_router import VertexPassThroughRouter
+
+router = APIRouter()
+vertex_pass_through_router = VertexPassThroughRouter()
+
+default_vertex_config: VertexPassThroughCredentials = VertexPassThroughCredentials()
+
+
+def _get_vertex_env_vars() -> VertexPassThroughCredentials:
+    """
+    Helper to get vertex pass through config from environment variables
+
+    The following environment variables are used:
+    - DEFAULT_VERTEXAI_PROJECT (project id)
+    - DEFAULT_VERTEXAI_LOCATION (location)
+    - DEFAULT_GOOGLE_APPLICATION_CREDENTIALS (path to credentials file)
+    """
+    return VertexPassThroughCredentials(
+        vertex_project=get_secret_str("DEFAULT_VERTEXAI_PROJECT"),
+        vertex_location=get_secret_str("DEFAULT_VERTEXAI_LOCATION"),
+        vertex_credentials=get_secret_str("DEFAULT_GOOGLE_APPLICATION_CREDENTIALS"),
+    )
+
+
+def set_default_vertex_config(config: Optional[dict] = None):
+    """Sets vertex configuration from provided config and/or environment variables
+
+    Args:
+        config (Optional[dict]): Configuration dictionary
+        Example: {
+            "vertex_project": "my-project-123",
+            "vertex_location": "us-central1",
+            "vertex_credentials": "os.environ/GOOGLE_CREDS"
+        }
+    """
+    global default_vertex_config
+
+    # Initialize config dictionary if None
+    if config is None:
+        default_vertex_config = _get_vertex_env_vars()
+        return
+
+    if isinstance(config, dict):
+        for key, value in config.items():
+            if isinstance(value, str) and value.startswith("os.environ/"):
+                config[key] = litellm.get_secret(value)
+
+    _set_default_vertex_config(VertexPassThroughCredentials(**config))
+
+
+def _set_default_vertex_config(
+    vertex_pass_through_credentials: VertexPassThroughCredentials,
+):
+    global default_vertex_config
+    default_vertex_config = vertex_pass_through_credentials
+
+
+def exception_handler(e: Exception):
+    verbose_proxy_logger.error(
+        "litellm.proxy.proxy_server.v1/projects/tuningJobs(): Exception occurred - {}".format(
+            str(e)
+        )
+    )
+    verbose_proxy_logger.debug(traceback.format_exc())
+    if isinstance(e, HTTPException):
+        return ProxyException(
+            message=getattr(e, "message", str(e.detail)),
+            type=getattr(e, "type", "None"),
+            param=getattr(e, "param", "None"),
+            code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
+        )
+    else:
+        error_msg = f"{str(e)}"
+        return ProxyException(
+            message=getattr(e, "message", error_msg),
+            type=getattr(e, "type", "None"),
+            param=getattr(e, "param", "None"),
+            code=getattr(e, "status_code", 500),
+        )
+
+
+def construct_target_url(
+    base_url: str,
+    requested_route: str,
+    default_vertex_location: Optional[str],
+    default_vertex_project: Optional[str],
+) -> httpx.URL:
+    """
+    Allow user to specify their own project id / location.
+
+    If missing, use defaults
+
+    Handle cachedContent scenario - https://github.com/BerriAI/litellm/issues/5460
+
+    Constructed Url:
+    POST https://LOCATION-aiplatform.googleapis.com/{version}/projects/PROJECT_ID/locations/LOCATION/cachedContents
+    """
+    new_base_url = httpx.URL(base_url)
+    if "locations" in requested_route:  # contains the target project id + location
+        updated_url = new_base_url.copy_with(path=requested_route)
+        return updated_url
+    """
+    - Add endpoint version (e.g. v1beta for cachedContent, v1 for rest)
+    - Add default project id
+    - Add default location
+    """
+    vertex_version: Literal["v1", "v1beta1"] = "v1"
+    if "cachedContent" in requested_route:
+        vertex_version = "v1beta1"
+
+    base_requested_route = "{}/projects/{}/locations/{}".format(
+        vertex_version, default_vertex_project, default_vertex_location
+    )
+
+    updated_requested_route = "/" + base_requested_route + requested_route
+
+    updated_url = new_base_url.copy_with(path=updated_requested_route)
+    return updated_url
+
+
+@router.api_route(
+    "/vertex-ai/{endpoint:path}",
+    methods=["GET", "POST", "PUT", "DELETE", "PATCH"],
+    tags=["Vertex AI Pass-through", "pass-through"],
+    include_in_schema=False,
+)
+@router.api_route(
+    "/vertex_ai/{endpoint:path}",
+    methods=["GET", "POST", "PUT", "DELETE", "PATCH"],
+    tags=["Vertex AI Pass-through", "pass-through"],
+)
+async def vertex_proxy_route(
+    endpoint: str,
+    request: Request,
+    fastapi_response: Response,
+):
+    """
+    Call LiteLLM proxy via Vertex AI SDK.
+
+    [Docs](https://docs.litellm.ai/docs/pass_through/vertex_ai)
+    """
+    encoded_endpoint = httpx.URL(endpoint).path
+    verbose_proxy_logger.debug("requested endpoint %s", endpoint)
+    headers: dict = {}
+    api_key_to_use = get_litellm_virtual_key(request=request)
+    user_api_key_dict = await user_api_key_auth(
+        request=request,
+        api_key=api_key_to_use,
+    )
+
+    vertex_project: Optional[str] = (
+        VertexPassThroughRouter._get_vertex_project_id_from_url(endpoint)
+    )
+    vertex_location: Optional[str] = (
+        VertexPassThroughRouter._get_vertex_location_from_url(endpoint)
+    )
+    vertex_credentials = vertex_pass_through_router.get_vertex_credentials(
+        project_id=vertex_project,
+        location=vertex_location,
+    )
+
+    # Use headers from the incoming request if no vertex credentials are found
+    if vertex_credentials.vertex_project is None:
+        headers = dict(request.headers) or {}
+        verbose_proxy_logger.debug(
+            "default_vertex_config  not set, incoming request headers %s", headers
+        )
+        base_target_url = f"https://{vertex_location}-aiplatform.googleapis.com/"
+        headers.pop("content-length", None)
+        headers.pop("host", None)
+    else:
+        vertex_project = vertex_credentials.vertex_project
+        vertex_location = vertex_credentials.vertex_location
+        vertex_credentials_str = vertex_credentials.vertex_credentials
+
+        # Construct base URL for the target endpoint
+        base_target_url = f"https://{vertex_location}-aiplatform.googleapis.com/"
+
+        _auth_header, vertex_project = (
+            await vertex_fine_tuning_apis_instance._ensure_access_token_async(
+                credentials=vertex_credentials_str,
+                project_id=vertex_project,
+                custom_llm_provider="vertex_ai_beta",
+            )
+        )
+
+        auth_header, _ = vertex_fine_tuning_apis_instance._get_token_and_url(
+            model="",
+            auth_header=_auth_header,
+            gemini_api_key=None,
+            vertex_credentials=vertex_credentials_str,
+            vertex_project=vertex_project,
+            vertex_location=vertex_location,
+            stream=False,
+            custom_llm_provider="vertex_ai_beta",
+            api_base="",
+        )
+
+        headers = {
+            "Authorization": f"Bearer {auth_header}",
+        }
+
+    request_route = encoded_endpoint
+    verbose_proxy_logger.debug("request_route %s", request_route)
+
+    # Ensure endpoint starts with '/' for proper URL construction
+    if not encoded_endpoint.startswith("/"):
+        encoded_endpoint = "/" + encoded_endpoint
+
+    # Construct the full target URL using httpx
+    updated_url = construct_target_url(
+        base_url=base_target_url,
+        requested_route=encoded_endpoint,
+        default_vertex_location=vertex_location,
+        default_vertex_project=vertex_project,
+    )
+    # base_url = httpx.URL(base_target_url)
+    # updated_url = base_url.copy_with(path=encoded_endpoint)
+
+    verbose_proxy_logger.debug("updated url %s", updated_url)
+
+    ## check for streaming
+    target = str(updated_url)
+    is_streaming_request = False
+    if "stream" in str(updated_url):
+        is_streaming_request = True
+        target += "?alt=sse"
+
+    ## CREATE PASS-THROUGH
+    endpoint_func = create_pass_through_route(
+        endpoint=endpoint,
+        target=target,
+        custom_headers=headers,
+    )  # dynamically construct pass-through endpoint based on incoming path
+    received_value = await endpoint_func(
+        request,
+        fastapi_response,
+        user_api_key_dict,
+        stream=is_streaming_request,  # type: ignore
+    )
+
+    return received_value
+
+
+def get_litellm_virtual_key(request: Request) -> str:
+    """
+    Extract and format API key from request headers.
+    Prioritizes x-litellm-api-key over Authorization header.
+
+
+    Vertex JS SDK uses `Authorization` header, we use `x-litellm-api-key` to pass litellm virtual key
+
+    """
+    litellm_api_key = request.headers.get("x-litellm-api-key")
+    if litellm_api_key:
+        return f"Bearer {litellm_api_key}"
+    return request.headers.get("Authorization", "")