Save and restore litellm.initialized_langfuse_clients around
test_max_langfuse_clients_limit to prevent ordering-dependent failures
in other tests that rely on the counter's value.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The same PyPI-override issue existed in test-litellm.yml, test-mcp.yml,
and .circleci/config.yml. Also adds --no-deps (enterprise has no runtime
deps) to avoid redundant dependency resolution on every forced reinstall.
Addresses greptile review comments on PR #21481.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- test_litellm_pre_call_utils.py: wrap test body in try/finally so
litellm.callbacks is always restored even when an assertion fails,
addressing greptile review comment
- test_langfuse_otel.py: resolve trivial merge conflict in comment
("unpatched" vs "unpatch-ed"), keeping correct spelling
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
test_reload_model_cost_map_admin_access calls the /reload/model_cost_map
HTTP endpoint with get_model_cost_map mocked to return a single-entry
dict. The endpoint handler does a direct module-level assignment
(litellm.model_cost = new_model_cost_map) which persists after the
patch context manager exits, stripping all models except gpt-3.5-turbo
from the in-memory cost map and causing subsequent tests that rely on
models like gemini-1.5-flash, multimodalembedding@001, and gpt-4o to
fail with "model not mapped" errors or zero-cost spend payloads.
Fix: save litellm.model_cost before the test and restore it (along with
invalidating the case-insensitive lookup cache) in a finally block.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: guard against None metadata in prometheus metrics
Use get_litellm_metadata_from_kwargs and get_metadata_variable_name_from_kwargs
helpers to properly resolve metadata from both 'metadata' and 'litellm_metadata'
keys, with None safety.
* test: add test for None metadata in prometheus metrics
Update provider matching so github/<model> aliases can resolve capabilities from existing upstream model metadata, including OpenAI and Anthropic entries. Add regression tests for known github aliases and unknown-model fallback behavior.
Three test isolation issues fixed:
1. test_mcp_debug.py: Replace deprecated asyncio.get_event_loop().run_until_complete()
with asyncio.run() in TestWrapSendWithDebugHeaders. In Python 3.10+,
get_event_loop() raises RuntimeError when no event loop is set in the
current thread, causing test_injects_headers and test_body_messages_unchanged
to fail in isolation.
2. test_mcp_server_manager.py: After _reload_mcp_manager_module() creates a new
global_mcp_server_manager instance, server.py still holds a stale reference
to the old instance. Tests in test_mcp_server.py that populate the new
manager's registry and then call server.py functions (e.g. _get_tools_from_mcp_servers)
get empty results because server.py reads from the old manager. Fix: update
server.py's module-level reference after each reload.
3. test_litellm_pre_call_utils.py: test_add_litellm_metadata_from_request_headers
sets litellm.callbacks without restoring it afterward. Add cleanup to restore
original callbacks after the test to prevent state leaking to subsequent tests.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Four finally blocks in test_internal_user_endpoints.py and one in
test_ui_sso.py used the pattern:
if original_default_params is not None:
litellm.default_internal_user_params = original_default_params
else:
delattr(litellm, "default_internal_user_params")
Since the attribute is defined in litellm/__init__.py with a default of
None, `getattr(litellm, "default_internal_user_params", None)` returns
None. The else branch then calls delattr(), permanently removing the
attribute from the module for the rest of the process.
Subsequent tests in the same pytest-xdist worker (e.g.
test_add_new_member_* in test_management_helpers_utils.py) then fail
with: AttributeError: module 'litellm' has no attribute
'default_internal_user_params'
Fix: replace all five flawed finally blocks with a simple assignment:
litellm.default_internal_user_params = original_default_params
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
poetry install includes litellm-enterprise from PyPI, then the editable
install step runs. When the same version is already installed, pip may
skip the editable install leaving the PyPI build in place - which may
lack methods added after the latest PyPI release. Adding
--force-reinstall ensures the local editable version always wins.
Fixes enterprise tests failing with AttributeError on methods that exist
locally but not in the cached PyPI-installed package.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
LogRecord objects do not have a .message attribute by default — it is
only populated after the record has been formatted by a Formatter.
The correct way to retrieve the formatted log message is getMessage().
This fixes AttributeError: 'LogRecord' object has no attribute 'message'
in test_cost_calculation_uses_debug_level and
test_batch_cost_calculation_uses_debug_level.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Prisma's create_many() requires JSON fields to be wrapped in prisma.Json()
not passed as raw JSON strings. Lines 3099-3100 were using safe_dumps()
(which returns str) instead of prisma.Json(), causing Prisma validation
errors during master key rotation.
This is consistent with the existing pattern in the same file (line 3134
already uses prisma.Json for litellm_config env vars).
The regression test test_rotate_master_key_model_data_valid_for_prisma
was already correctly asserting isinstance(..., prisma.Json) — the test
exposed the mismatch.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The file had two unresolved git merge conflict markers from a merge of
litellm_oss_staging_02_17_2026 into main, causing a SyntaxError when
pytest tried to collect the test module.
Kept the instance-level mocking approach (from litellm_oss_staging) for
test_get_complete_url and test_validate_environment, which is consistent
with the rest of the file and avoids class-reference issues caused by
importlib.reload(litellm) in conftest.py.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The model_prices_and_context_window_backup.json file has 'inference_geo'
fields (e.g. on 'us/claude-sonnet-4-6') for geo-prefixed Anthropic models
used in cost calculation, but the JSON schema validator in test_utils.py
did not include 'inference_geo' as an allowed property.
This caused test_aaamodel_prices_and_context_window_json_is_valid to fail
with: Additional properties are not allowed ('inference_geo' was unexpected)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
