Merge remote-tracking branch 'origin' into litellm_key_team_create_routing_setting_ui

This commit is contained in:
yuneng-jiang
2026-01-23 16:56:30 -08:00
4 changed files with 262 additions and 3 deletions
@@ -611,6 +611,8 @@ router_settings:
| GALILEO_USERNAME | Username for Galileo authentication
| GOOGLE_SECRET_MANAGER_PROJECT_ID | Project ID for Google Secret Manager
| GCS_BUCKET_NAME | Name of the Google Cloud Storage bucket
| GCS_MOCK | Enable mock mode for GCS integration testing. When set to true, intercepts GCS API calls and returns mock responses without making actual network calls. Default is false
| GCS_MOCK_LATENCY_MS | Mock latency in milliseconds for GCS API calls when mock mode is enabled. Simulates network round-trip time. Default is 150ms
| GCS_PATH_SERVICE_ACCOUNT | Path to the Google Cloud service account JSON file
| GCS_FLUSH_INTERVAL | Flush interval for GCS logging (in seconds). Specify how often you want a log to be sent to GCS. **Default is 20 seconds**
| GCS_BATCH_SIZE | Batch size for GCS logging. Specify after how many logs you want to flush to GCS. If `BATCH_SIZE` is set to 10, logs are flushed every 10 logs. **Default is 2048**
@@ -698,6 +700,7 @@ router_settings:
| LANGFUSE_TRACING_ENVIRONMENT | Environment for Langfuse tracing
| LANGFUSE_HOST | Host URL for Langfuse service
| LANGFUSE_MOCK | Enable mock mode for Langfuse integration testing. When set to true, intercepts Langfuse API calls and returns mock responses without making actual network calls. Default is false
| LANGFUSE_MOCK_LATENCY_MS | Mock latency in milliseconds for Langfuse API calls when mock mode is enabled. Simulates network round-trip time. Default is 100ms
| LANGFUSE_PUBLIC_KEY | Public key for Langfuse authentication
| LANGFUSE_RELEASE | Release version of Langfuse integration
| LANGFUSE_SECRET_KEY | Secret key for Langfuse authentication
@@ -2,6 +2,13 @@ import json
import os
from typing import TYPE_CHECKING, Any, Dict, Optional, Tuple, Union
from litellm.integrations.gcs_bucket.gcs_bucket_mock_client import (
should_use_gcs_mock,
create_mock_gcs_client,
mock_vertex_auth_methods,
)
from litellm._logging import verbose_logger
from litellm.integrations.custom_batch_logger import CustomBatchLogger
from litellm.llms.custom_httpx.http_handler import (
@@ -20,6 +27,12 @@ IAM_AUTH_KEY = "IAM_AUTH"
class GCSBucketBase(CustomBatchLogger):
def __init__(self, bucket_name: Optional[str] = None, **kwargs) -> None:
self.is_mock_mode = should_use_gcs_mock()
if self.is_mock_mode:
mock_vertex_auth_methods()
create_mock_gcs_client()
self.async_httpx_client = get_async_httpx_client(
llm_provider=httpxSpecialProvider.LoggingCallback
)
@@ -0,0 +1,236 @@
"""
Mock client for GCS Bucket integration testing.
This module intercepts GCS API calls and Vertex AI auth calls, returning successful
mock responses, allowing full code execution without making actual network calls.
Usage:
Set GCS_MOCK=true in environment variables or config to enable mock mode.
"""
import httpx
import json
import asyncio
from datetime import timedelta
from typing import Dict, Optional
from litellm._logging import verbose_logger
# Store original methods for restoration
_original_async_handler_post = None
_original_async_handler_get = None
_original_async_handler_delete = None
# Track if mocks have been initialized to avoid duplicate initialization
_mocks_initialized = False
# Default mock latency in seconds (simulates network round-trip)
# Typical GCS API calls take 100-300ms for uploads, 50-150ms for GET/DELETE
_MOCK_LATENCY_SECONDS = float(__import__("os").getenv("GCS_MOCK_LATENCY_MS", "150")) / 1000.0
class MockGCSResponse:
"""Mock httpx.Response that satisfies GCS API requirements."""
def __init__(self, status_code: int = 200, json_data: Optional[Dict] = None, url: Optional[str] = None, elapsed_seconds: float = 0.0):
self.status_code = status_code
self._json_data = json_data or {"kind": "storage#object", "name": "mock-object"}
self.headers = httpx.Headers({})
self.is_success = status_code < 400
self.is_error = status_code >= 400
self.is_redirect = 300 <= status_code < 400
self.url = httpx.URL(url) if url else httpx.URL("")
# Set realistic elapsed time based on mock latency
elapsed_time = elapsed_seconds if elapsed_seconds > 0 else _MOCK_LATENCY_SECONDS
self.elapsed = timedelta(seconds=elapsed_time)
self._text = json.dumps(self._json_data)
self._content = self._text.encode("utf-8")
@property
def text(self) -> str:
"""Return response text."""
return self._text
@property
def content(self) -> bytes:
"""Return response content."""
return self._content
def json(self) -> Dict:
"""Return JSON response data."""
return self._json_data
def read(self) -> bytes:
"""Read response content."""
return self._content
def raise_for_status(self):
"""Raise exception for error status codes."""
if self.status_code >= 400:
raise Exception(f"HTTP {self.status_code}")
async def _mock_async_handler_post(self, url, data=None, json=None, params=None, headers=None, timeout=None, stream=False, logging_obj=None, files=None, content=None):
"""Monkey-patched AsyncHTTPHandler.post that intercepts GCS calls."""
# Only mock GCS API calls
if isinstance(url, str) and "storage.googleapis.com" in url:
verbose_logger.info(f"[GCS MOCK] POST to {url}")
# Simulate network latency
await asyncio.sleep(_MOCK_LATENCY_SECONDS)
return MockGCSResponse(
status_code=200,
json_data={"kind": "storage#object", "name": "mock-object"},
url=url,
elapsed_seconds=_MOCK_LATENCY_SECONDS
)
# For non-GCS calls, use original method
if _original_async_handler_post is not None:
return await _original_async_handler_post(self, url=url, data=data, json=json, params=params, headers=headers, timeout=timeout, stream=stream, logging_obj=logging_obj, files=files, content=content)
# Fallback: if original not set, raise error
raise RuntimeError("Original AsyncHTTPHandler.post not available")
async def _mock_async_handler_get(self, url, params=None, headers=None, follow_redirects=None):
"""Monkey-patched AsyncHTTPHandler.get that intercepts GCS calls."""
# Only mock GCS API calls
if isinstance(url, str) and "storage.googleapis.com" in url:
verbose_logger.info(f"[GCS MOCK] GET to {url}")
# Simulate network latency
await asyncio.sleep(_MOCK_LATENCY_SECONDS)
return MockGCSResponse(
status_code=200,
json_data={"data": "mock-log-data"},
url=url,
elapsed_seconds=_MOCK_LATENCY_SECONDS
)
# For non-GCS calls, use original method
if _original_async_handler_get is not None:
return await _original_async_handler_get(self, url=url, params=params, headers=headers, follow_redirects=follow_redirects)
# Fallback: if original not set, raise error
raise RuntimeError("Original AsyncHTTPHandler.get not available")
async def _mock_async_handler_delete(self, url, data=None, json=None, params=None, headers=None, timeout=None, stream=False, content=None):
"""Monkey-patched AsyncHTTPHandler.delete that intercepts GCS calls."""
# Only mock GCS API calls
if isinstance(url, str) and "storage.googleapis.com" in url:
verbose_logger.info(f"[GCS MOCK] DELETE to {url}")
# Simulate network latency
await asyncio.sleep(_MOCK_LATENCY_SECONDS)
return MockGCSResponse(
status_code=204,
json_data={},
url=url,
elapsed_seconds=_MOCK_LATENCY_SECONDS
)
# For non-GCS calls, use original method
if _original_async_handler_delete is not None:
return await _original_async_handler_delete(self, url=url, data=data, json=json, params=params, headers=headers, timeout=timeout, stream=stream, content=content)
# Fallback: if original not set, raise error
raise RuntimeError("Original AsyncHTTPHandler.delete not available")
def create_mock_gcs_client():
"""
Monkey-patch AsyncHTTPHandler methods to intercept GCS calls.
AsyncHTTPHandler is used by LiteLLM's get_async_httpx_client() which is what
GCSBucketBase uses for making API calls.
This function is idempotent - it only initializes mocks once, even if called multiple times.
"""
global _original_async_handler_post, _original_async_handler_get, _original_async_handler_delete
global _mocks_initialized
# If already initialized, skip
if _mocks_initialized:
return
verbose_logger.debug("[GCS MOCK] Initializing GCS mock client...")
# Patch AsyncHTTPHandler methods (used by LiteLLM's custom httpx handler)
if _original_async_handler_post is None:
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
_original_async_handler_post = AsyncHTTPHandler.post
AsyncHTTPHandler.post = _mock_async_handler_post # type: ignore
verbose_logger.debug("[GCS MOCK] Patched AsyncHTTPHandler.post")
if _original_async_handler_get is None:
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
_original_async_handler_get = AsyncHTTPHandler.get
AsyncHTTPHandler.get = _mock_async_handler_get # type: ignore
verbose_logger.debug("[GCS MOCK] Patched AsyncHTTPHandler.get")
if _original_async_handler_delete is None:
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
_original_async_handler_delete = AsyncHTTPHandler.delete
AsyncHTTPHandler.delete = _mock_async_handler_delete # type: ignore
verbose_logger.debug("[GCS MOCK] Patched AsyncHTTPHandler.delete")
verbose_logger.debug(f"[GCS MOCK] Mock latency set to {_MOCK_LATENCY_SECONDS*1000:.0f}ms")
verbose_logger.debug("[GCS MOCK] GCS mock client initialization complete")
_mocks_initialized = True
def mock_vertex_auth_methods():
"""
Monkey-patch Vertex AI auth methods to return fake tokens.
This prevents auth failures when GCS_MOCK is enabled.
This function is idempotent - it only patches once, even if called multiple times.
"""
from litellm.llms.vertex_ai.vertex_llm_base import VertexBase
# Store original methods if not already stored
if not hasattr(VertexBase, '_original_ensure_access_token_async'):
setattr(VertexBase, '_original_ensure_access_token_async', VertexBase._ensure_access_token_async)
setattr(VertexBase, '_original_ensure_access_token', VertexBase._ensure_access_token)
setattr(VertexBase, '_original_get_token_and_url', VertexBase._get_token_and_url)
async def _mock_ensure_access_token_async(self, credentials, project_id, custom_llm_provider):
"""Mock async auth method - returns fake token."""
verbose_logger.debug("[GCS MOCK] Vertex AI auth: _ensure_access_token_async called")
return ("mock-gcs-token", "mock-project-id")
def _mock_ensure_access_token(self, credentials, project_id, custom_llm_provider):
"""Mock sync auth method - returns fake token."""
verbose_logger.debug("[GCS MOCK] Vertex AI auth: _ensure_access_token called")
return ("mock-gcs-token", "mock-project-id")
def _mock_get_token_and_url(self, model, auth_header, vertex_credentials, vertex_project,
vertex_location, gemini_api_key, stream, custom_llm_provider, api_base):
"""Mock get_token_and_url - returns fake token."""
verbose_logger.debug("[GCS MOCK] Vertex AI auth: _get_token_and_url called")
return ("mock-gcs-token", "https://storage.googleapis.com")
# Patch the methods
VertexBase._ensure_access_token_async = _mock_ensure_access_token_async # type: ignore
VertexBase._ensure_access_token = _mock_ensure_access_token # type: ignore
VertexBase._get_token_and_url = _mock_get_token_and_url # type: ignore
verbose_logger.debug("[GCS MOCK] Patched Vertex AI auth methods")
def should_use_gcs_mock() -> bool:
"""
Determine if GCS should run in mock mode.
Checks the GCS_MOCK environment variable.
Returns:
bool: True if mock mode should be enabled
"""
import os
from litellm.secret_managers.main import str_to_bool
mock_mode = os.getenv("GCS_MOCK", "false")
result = str_to_bool(mock_mode)
# Ensure we return a bool, not None
result = bool(result) if result is not None else False
if result:
verbose_logger.info("GCS Mock Mode: ENABLED - API calls will be mocked")
return result
@@ -10,17 +10,22 @@ Usage:
import httpx
import json
from datetime import timedelta
from typing import Dict, Optional
from litellm._logging import verbose_logger
_original_httpx_post = None
# Default mock latency in seconds (simulates network round-trip)
# Typical Langfuse API calls take 50-150ms
_MOCK_LATENCY_SECONDS = float(__import__("os").getenv("LANGFUSE_MOCK_LATENCY_MS", "100")) / 1000.0
class MockLangfuseResponse:
"""Mock httpx.Response that satisfies Langfuse SDK requirements."""
def __init__(self, status_code: int = 200, json_data: Optional[Dict] = None, url: Optional[str] = None):
def __init__(self, status_code: int = 200, json_data: Optional[Dict] = None, url: Optional[str] = None, elapsed_seconds: float = 0.0):
self.status_code = status_code
self._json_data = json_data or {"status": "success"}
self.headers = httpx.Headers({})
@@ -28,7 +33,9 @@ class MockLangfuseResponse:
self.is_error = status_code >= 400
self.is_redirect = 300 <= status_code < 400
self.url = httpx.URL(url) if url else httpx.URL("")
self.elapsed = httpx.Timeout(0.0)
# Set realistic elapsed time based on mock latency
elapsed_time = elapsed_seconds if elapsed_seconds > 0 else _MOCK_LATENCY_SECONDS
self.elapsed = timedelta(seconds=elapsed_time)
self._text = json.dumps(self._json_data)
self._content = self._text.encode("utf-8")
@@ -70,7 +77,7 @@ def _mock_httpx_post(self, url, **kwargs):
"""Monkey-patched httpx.Client.post that intercepts Langfuse calls."""
if _is_langfuse_url(url):
verbose_logger.info(f"[LANGFUSE MOCK] POST to {url}")
return MockLangfuseResponse(status_code=200, json_data={"status": "success"}, url=url)
return MockLangfuseResponse(status_code=200, json_data={"status": "success"}, url=url, elapsed_seconds=_MOCK_LATENCY_SECONDS)
if _original_httpx_post is not None:
return _original_httpx_post(self, url, **kwargs)