litellm-mirror/litellm/proxy/vertex_ai_endpoints/vertex_passthrough_router.py
Krish Dholakia 88eedb22b9
vertex ai anthropic thinking param support (#8853)
* fix(vertex_llm_base.py): handle credentials passed in as dictionary

* fix(router.py): support vertex credentials as json dict

* test(test_vertex.py): allows easier testing

mock anthropic thinking response for vertex ai

* test(vertex_ai_partner_models/): don't remove "@" from model

breaks anthropic cost calculation

* test: move testing

* fix: fix linting error

* fix: fix linting error

* fix(vertex_ai_partner_models/main.py): split @ for codestral model

* test: fix test

* fix: fix stripping "@" on mistral models

* fix: fix test

* test: fix test
2025-02-26 21:37:18 -08:00

121 lines
4.2 KiB
Python

import json
import re
from typing import Dict, Optional
from litellm._logging import verbose_proxy_logger
from litellm.proxy.vertex_ai_endpoints.vertex_endpoints import (
VertexPassThroughCredentials,
)
from litellm.types.llms.vertex_ai import VERTEX_CREDENTIALS_TYPES
class VertexPassThroughRouter:
"""
Vertex Pass Through Router for Vertex AI pass-through endpoints
- if request specifies a project-id, location -> use credentials corresponding to the project-id, location
- if request does not specify a project-id, location -> use credentials corresponding to the DEFAULT_VERTEXAI_PROJECT, DEFAULT_VERTEXAI_LOCATION
"""
def __init__(self):
"""
Initialize the VertexPassThroughRouter
Stores the vertex credentials for each deployment key
```
{
"project_id-location": VertexPassThroughCredentials,
"adroit-crow-us-central1": VertexPassThroughCredentials,
}
```
"""
self.deployment_key_to_vertex_credentials: Dict[
str, VertexPassThroughCredentials
] = {}
pass
def get_vertex_credentials(
self, project_id: Optional[str], location: Optional[str]
) -> VertexPassThroughCredentials:
"""
Get the vertex credentials for the given project-id, location
"""
from litellm.proxy.vertex_ai_endpoints.vertex_endpoints import (
default_vertex_config,
)
deployment_key = self._get_deployment_key(
project_id=project_id,
location=location,
)
if deployment_key is None:
return default_vertex_config
if deployment_key in self.deployment_key_to_vertex_credentials:
return self.deployment_key_to_vertex_credentials[deployment_key]
else:
return default_vertex_config
def add_vertex_credentials(
self,
project_id: str,
location: str,
vertex_credentials: VERTEX_CREDENTIALS_TYPES,
):
"""
Add the vertex credentials for the given project-id, location
"""
from litellm.proxy.vertex_ai_endpoints.vertex_endpoints import (
_set_default_vertex_config,
)
deployment_key = self._get_deployment_key(
project_id=project_id,
location=location,
)
if deployment_key is None:
verbose_proxy_logger.debug(
"No deployment key found for project-id, location"
)
return
vertex_pass_through_credentials = VertexPassThroughCredentials(
vertex_project=project_id,
vertex_location=location,
vertex_credentials=vertex_credentials,
)
self.deployment_key_to_vertex_credentials[deployment_key] = (
vertex_pass_through_credentials
)
verbose_proxy_logger.debug(
f"self.deployment_key_to_vertex_credentials: {json.dumps(self.deployment_key_to_vertex_credentials, indent=4, default=str)}"
)
_set_default_vertex_config(vertex_pass_through_credentials)
def _get_deployment_key(
self, project_id: Optional[str], location: Optional[str]
) -> Optional[str]:
"""
Get the deployment key for the given project-id, location
"""
if project_id is None or location is None:
return None
return f"{project_id}-{location}"
@staticmethod
def _get_vertex_project_id_from_url(url: str) -> Optional[str]:
"""
Get the vertex project id from the url
`https://${LOCATION}-aiplatform.googleapis.com/v1/projects/${PROJECT_ID}/locations/${LOCATION}/publishers/google/models/${MODEL_ID}:streamGenerateContent`
"""
match = re.search(r"/projects/([^/]+)", url)
return match.group(1) if match else None
@staticmethod
def _get_vertex_location_from_url(url: str) -> Optional[str]:
"""
Get the vertex location from the url
`https://${LOCATION}-aiplatform.googleapis.com/v1/projects/${PROJECT_ID}/locations/${LOCATION}/publishers/google/models/${MODEL_ID}:streamGenerateContent`
"""
match = re.search(r"/locations/([^/]+)", url)
return match.group(1) if match else None