Unit Tests: Proxy DB Operations / proxy-db (auth-checks, tests/proxy_unit_tests/test_auth_checks.py tests/proxy_unit_tests/test_user_api_key_auth.py, 20, 8) (push) Has been cancelled
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Previously, PR #19818 (via #20205) removed the model_list check entirely,
causing Router to be created even with no models AND no search_tools.
This fix adds back a conditional check that creates the Router only when:
- There are models to route, OR
- There are search_tools configured
This preserves the PR #19818 goal (search-tools-only deployments) while
avoiding unnecessary Router creation when there's nothing to route.
Fixes test_add_and_delete_deployments[0-None]
Fixes 15 failing tests in the MCP test suite:
1. **OAuth discoverable endpoints** (test_discoverable_endpoints.py):
- Added autouse fixture to mock IPAddressUtils.get_mcp_client_ip
- This bypasses IP-based access control which was blocking server lookup
- Fixes: test_authorize_*, test_token_*, test_oauth_*, test_register_*
2. **A2A endpoints** (test_a2a_endpoints.py):
- Fixed mock path for add_litellm_data_to_request
- Was patching litellm_pre_call_utils but function is called from common_request_processing
3. **MCP guardrail handler** (test_mcp_guardrail_handler.py):
- Updated tests to match new handler behavior
- Handler now passes tools (not texts) to guardrail
- Handler checks for mcp_tool_name (not messages array)
4. **MCP path-based segregation** (test_user_api_key_auth_mcp.py):
- Added client_ip to get_auth_context unpacking (7 values now)
- get_auth_context was updated to include client_ip
5. **MCP registry** (test_mcp_management_endpoints.py):
- Added mock for get_filtered_registry (not just get_registry)
- Registry endpoint uses get_filtered_registry for IP filtering
Co-authored-by: Shin <shin@openclaw.ai>
Add cheap .get() guards in should_run_callback() to short-circuit
the expensive EnterpriseCallbackControls.is_callback_disabled_dynamically()
call. When neither litellm_disabled_callbacks nor x-litellm-disable-callbacks
header is set (the common case), the enterprise function is never entered,
reducing should_run_callback from ~485ms to ~93-165ms across 54k calls.
CallTypes(call_type) was constructing an enum from string on every call,
taking ~4.6µs/call (69.6% of function time). Replace with a frozenset
membership test for ~0.8µs/call (8.3x faster).
Guard verbose_logger.debug() f-strings with isEnabledFor(logging.DEBUG)
checks in the router and cost calculation hot paths. Python evaluates
f-string arguments before the logging framework checks the log level,
causing expensive formatting on every request even with debug logging
disabled.
Changes:
- Remove redundant litellm_params.copy() in _completion/_acompletion
- Guard 5 debug logs in router.py (+ remove 1 duplicate log)
- Guard 6 debug logs in cost_calculator.py and utils.py
- get_model_info(): formatted 50+ field dict every call
- _apply_cost_margin(): called list(dict.keys()) every request
Profiled improvement: completion_cost 769µs → 637µs/call (-17.2%)
* perf: Optimize get_litellm_params with sparse kwargs extraction
- Add _OPTIONAL_KWARGS_KEYS frozenset for O(1) lookups
- Replace 28 unconditional kwargs.get() calls with sparse extraction
- Only add kwargs keys that are actually present in the dict
- Simplify _get_base_model_from_litellm_call_metadata by removing redundant None checks
This reduces get_litellm_params() time by ~31% (743ms → 509ms across 6000 calls)
and Logging.__init__ total time by ~24% (1.61s → 1.23s).
* test: add unit tests for get_litellm_params sparse kwargs extraction
* perf: add early-exit guards in completion_cost for unused features
Skip function calls to get_cost_for_built_in_tools, _apply_cost_discount,
_apply_cost_margin, and _store_cost_breakdown_in_logging_obj when their
respective features are not configured. Reduces completion_cost() time
by ~20% (4.39s → 3.53s over 6K requests) for the common case where
built-in tools, discounts, margins, and logging object are not active.
* fix: always call get_cost_for_built_in_tools regardless of standard_built_in_tools_params
The function can detect web search usage from the usage object (e.g.
server_tool_use.web_search_requests, prompt_tokens_details.web_search_requests)
even when standard_built_in_tools_params is None, so guarding on it can
under-count cost for providers like Vertex AI and Anthropic.
Adds regression test for completion_cost with web search in usage but
no standard_built_in_tools_params.
* fix(tests): Mock async_container_create_handler for async router test
The test was mocking container_create_handler (sync), but
router.acreate_container uses _is_async=True which calls
async_container_create_handler. This caused the test to hit
the real OpenAI API.
Fixed by using AsyncMock on async_container_create_handler.
* fix(tests): Use uuid for unique model name in scientific notation test
The test was using a static "unique" model name which could cause
conflicts when running tests in parallel (-n 16 in CI). Using uuid
ensures truly unique names to prevent test pollution.
---------
Co-authored-by: Shin <shin@openclaw.ai>
* perf: Optimize get_standard_logging_metadata with set intersection
- Cache StandardLoggingMetadata.__annotations__.keys() as module-level frozenset
- Use set intersection to iterate only keys present in both metadata and supported keys
- Single lookup for user_api_key instead of 3 separate .get() calls
Results:
- get_standard_logging_metadata: 1.55s → 1.41s (9.2% faster)
* test: add unit tests for get_standard_logging_metadata non-string user_api_key handling
* fix(tests): Fix sendgrid email tests to properly mock httpx client
The tests were potentially hitting the real SendGrid API because the mock
was patching get_async_httpx_client() but the actual client could be cached
or the mock timing could be off.
Fix by directly replacing logger.async_httpx_client after instantiation,
which guarantees the mock is used regardless of caching or initialization
timing issues.
Changes:
- Replace mock_httpx_client fixture with simpler mock_async_client fixture
- Directly inject mock client into logger instance after creation
- Remove respx decorator (no longer needed with direct injection)
- Simplify test structure while maintaining same assertions
* fix(lint): remove unused imports from SendGrid test
Extract the allowed MCP servers resolution logic with IP filtering into
a dedicated helper function _resolve_allowed_mcp_servers_with_ip_filter.
This reduces the statement count in call_tool_rest_api from 51 to under
50, fixing the ruff PLR0915 (too many statements) lint error.
Co-authored-by: Shin <shin@openclaw.ai>
Replace text-embedding-004 with gemini-embedding-001.
The old model was deprecated and returns 404:
'models/text-embedding-004 is not found for API version v1beta'
Co-authored-by: Shin <shin@openclaw.ai>
- a2a_protocol/exception_mapping_utils.py: Fix type ignore comment for None assignment
- caching/redis_cache.py: Add type ignore for async ping return type
- caching/redis_cluster_cache.py: Add type ignore for async ping return type
- llms/deprecated_providers/palm.py: Add type ignore for palm.generate_text
- proxy/auth/handle_jwt.py: Add type ignore for jwt.decode options argument
All changes add appropriate type: ignore comments to handle library typing inconsistencies.