* test: modernize models used in CircleCI e2e test suites
Replaces obsolete models (gpt-4o, gpt-4o-mini, gpt-3.5-turbo,
claude-3-5-sonnet-20240620, claude-sonnet-4-20250514) with current
equivalents across the e2e_openai_endpoints and
proxy_e2e_anthropic_messages_tests CircleCI jobs.
- gpt-4o -> gpt-5.5 (responses API e2e tests)
- gpt-4o-mini -> gpt-5-mini (websocket responses, oai_misc_config)
- gpt-4o-mini-2024-07-18 -> gpt-4.1-mini-2025-04-14 (fine-tuning,
still actively fine-tunable)
- gpt-4 / gpt-3.5-turbo target_model_names example -> gpt-5.5 /
gpt-5-mini
- bedrock claude-3-5-sonnet-20240620 batch entry -> haiku-4-5-20251001
(also aligning oai_misc_config model_name with what
test_bedrock_batches_api.py actually requests)
- bedrock claude-sonnet-4-20250514 (deprecated, retires 2026-06-15)
-> claude-sonnet-4-5-20250929
* test: point bedrock-claude-sonnet-4 alias at Sonnet 4.6, not 4.5
Greptile/Cursor flagged that after the previous commit, the
bedrock-claude-sonnet-4 alias collided with bedrock-claude-sonnet-4.5
(both pointed to claude-sonnet-4-5-20250929). Rename to
bedrock-claude-sonnet-4.6 and point it at the Sonnet 4.6 Bedrock ID
(us.anthropic.claude-sonnet-4-6, already in the litellm model
registry) so the alias name matches the underlying model version.
* test: modernize models across remaining CI-mounted configs & tests
Expands the modernization sweep to all CircleCI-mounted proxy configs
and to test directories where the model literal is a fixture/route key
(not the test's subject).
Config changes:
- proxy_server_config.yaml: bump gpt-3.5-turbo / gpt-3.5-turbo-1106 /
gpt-4o / gemini-1.5-flash / dall-e-3 underlying models; rename
gpt-3.5-turbo-end-user-test alias to gpt-5-mini-end-user-test; bump
text-embedding-ada-002 underlying to text-embedding-3-small. User-
facing aliases (gpt-3.5-turbo, gpt-4, text-embedding-ada-002, etc.)
preserved for backward compatibility with tests.
- simple_config.yaml, otel_test_config.yaml, spend_tracking_config.yaml:
bump gpt-3.5-turbo underlying to gpt-5-mini.
- pass_through_config.yaml: claude-3-5-sonnet / claude-3-7-sonnet /
claude-3-haiku entries replaced with claude-sonnet-4-5 / claude-
haiku-4-5 / claude-opus-4-7.
- oai_misc_config.yaml: align alias name with the gpt-5-mini rename.
Test changes (proactive: claude-sonnet-4-20250514 / claude-opus-4-
20250514 retire 2026-06-15):
- tests/llm_translation/test_anthropic_completion.py: bump 3 references
+ paired Vertex AI ID to claude-sonnet-4-5.
- tests/llm_translation/test_optional_params.py: bump 2 references.
- tests/pass_through_unit_tests/test_anthropic_messages_passthrough.py
and test_bedrock_anthropic_messages_test.py: bump router fixtures
using the deprecated model IDs.
- tests/pass_through_unit_tests/base_anthropic_messages_tool_search_test.py:
modernize docstring examples.
- tests/test_end_users.py: update references to renamed alias.
* test: modernize placeholder model literals in router_unit_tests
Mass replace_all on fixture/placeholder model literals across the
router_unit_tests/ suite (model name is a routing key / label, not the
test subject). Sub-agent sweep so far — additional commits will follow
for logging_callback_tests/, enterprise/, top-level tests/test_*.py,
and other CI-mounted dirs.
Mappings applied:
- gpt-3.5-turbo -> gpt-5-mini
- gpt-4 (bare) -> gpt-5.5
- gpt-4o (bare) -> gpt-5
- text-embedding-ada-002 -> text-embedding-3-small
- claude-3-sonnet-20240229 / claude-3-opus-20240229 /
claude-3-haiku-20240307 / claude-3-5-sonnet-20240620 ->
claude-sonnet-4-5-20250929 / claude-opus-4-7 /
claude-haiku-4-5-20251001 as appropriate
Explicitly preserved:
- gpt-4o-mini-* variants (transcribe, tts, etc.) where they're current
- gpt-4-turbo / gpt-4-vision-preview / gpt-4-0613 (subject literals)
- JSONL batch body literals
- Mock LLM response model fields (must match upstream)
- Fake/mock identifiers
* test: modernize placeholder model literals across remaining CI suites
Sub-agent sweep across logging_callback_tests/, guardrails_tests/,
enterprise/, pass_through_unit_tests/, otel_tests/,
llm_responses_api_testing/, batches_tests/, spend_tracking_tests/,
litellm_utils_tests/, unified_google_tests/, and a few top-level
tests/test_*.py files where the model literal is a fixture or
placeholder (router model_list, mock standard logging payload, mock
callback data) rather than the test's subject.
Mappings applied (see scope notes below):
- gpt-3.5-turbo -> gpt-5-mini
- gpt-4 (bare) -> gpt-5.5
- gpt-4o (bare) -> gpt-5.5 (corrected from initial gpt-5 — bare gpt-5
is not a valid OpenAI alias; only gpt-5.5 / gpt-5.4 / gpt-5.2-codex
/ gpt-5-mini exist)
- gpt-4o-mini (bare) -> gpt-5-mini
- text-embedding-ada-002 -> text-embedding-3-small
- claude-3-sonnet-20240229 -> claude-sonnet-4-5-20250929
- claude-3-opus-20240229 -> claude-opus-4-7
- claude-3-haiku-20240307 -> claude-haiku-4-5-20251001
- claude-3-5-sonnet-20240620/20241022 -> claude-sonnet-4-5-20250929
- claude-3-7-sonnet-20250219 -> claude-sonnet-4-6
- gemini-1.5-flash -> gemini-2.5-flash
- gemini-1.5-pro -> gemini-2.5-pro
Explicitly preserved (not modernized):
- llm_translation/ tests where model is the SUBJECT (provider-specific
translation/transformation logic). Only the deprecated 20250514
references were already bumped in a prior commit.
- Cost-calc / tokenizer subject tests in test_utils.py (skip-ranges
documented by the sub-agent).
- Bedrock model IDs in test_health_check.py path-stripping tests.
- JSONL batch request bodies and mock LLM response bodies (must match
upstream literal).
- Langfuse expected-request-body JSON fixtures (cost values are exact-
match-asserted; changing the model would shift response_cost).
- gpt-3.5-turbo-instruct (text-completion endpoint; no modern OpenAI
equivalent).
- Top-level tests calling the proxy through user-facing aliases
(gpt-3.5-turbo, gpt-4, text-embedding-ada-002, dall-e-3) — aliases
in proxy_server_config.yaml stay; only the underlying model was
bumped.
- tests/test_gpt5_azure_temperature_support.py (the test's whole point
is model-name handling).
- Fake / mock / openai/fake identifiers.
Notable side fixes:
- test_spend_accuracy_tests.py: UPSTREAM_MODEL now matches what
spend_tracking_config.yaml's proxy actually routes to (gpt-5-mini),
resolving a latent inconsistency.
- proxy_server_config.yaml: bare `gpt-5` alias renamed to `gpt-5.5`
(bare gpt-5 is not a valid OpenAI alias).
- test_batches_logging_unit_tests.py: explicit_models list entries
kept distinct (gpt-5-mini + gpt-5.5) after bulk rename.
* test: fix CI failures from model modernization sweep
CI surfaced 4 categories of regression from the bulk modernization:
1. Azure deployment names are customer-specific. Reverted:
- tests/litellm_utils_tests/test_health_check.py: azure/text-
embedding-3-small -> azure/text-embedding-ada-002 (the CI Azure
account does not have a text-embedding-3-small deployment).
- tests/logging_callback_tests/test_custom_callback_router.py:
same revert for two router fixtures driving aembedding.
2. gpt-5 family does not accept temperature != 1. Tests that pass a
custom temperature swapped from gpt-5-mini to gpt-4.1-mini (modern
non-reasoning OpenAI mini that still accepts temperature/logprobs):
- tests/logging_callback_tests/test_datadog.py
- tests/logging_callback_tests/test_langsmith_unit_test.py
- tests/logging_callback_tests/test_otel_logging.py
3. proxy_server_config.yaml's gpt-3.5-turbo-large alias was routing to
gpt-5.5 (a reasoning model that rejects logprobs). The proxy test
tests/test_openai_endpoints.py::test_chat_completion_streaming
exercises logprobs/top_logprobs through that alias. Bumped the
underlying model to gpt-4.1 (non-reasoning, still modern).
4. tests/logging_callback_tests/test_gcs_pub_sub.py asserts against a
pinned JSON fixture (gcs_pub_sub_body/spend_logs_payload.json) with
hardcoded model="gpt-4o" and a model-specific spend value. Reverted
the litellm.acompletion calls in the test to model="gpt-4o" so the
fixture's exact-match assertions still hold.
5. tests/pass_through_unit_tests/test_anthropic_messages_passthrough.py:
anthropic.messages.create routing to openai/gpt-5-mini returned an
empty content[0] with max_tokens=100 (reasoning-token consumption).
Swapped to openai/gpt-4.1-mini.
* test: fix Assistants API model + 2 cursor[bot] review nits
1. pass_through_unit_tests/test_custom_logger_passthrough.py: gpt-5.5
isn't accepted by the /v1/assistants endpoint
("unsupported_model"). Switch to gpt-4.1-mini (modern, Assistants-
API-supported, non-reasoning).
2. example_config_yaml/pass_through_config.yaml: the previous sweep
bumped the claude-3-7-sonnet alias to claude-opus-4-7, which is a
tier change (Sonnet -> Opus). Map to claude-sonnet-4-6 to keep the
Sonnet tier intact. (Cursor bugbot review.)
3. example_config_yaml/simple_config.yaml: model_name was left as
gpt-3.5-turbo while the underlying was bumped to gpt-5-mini, which
muddles the "simple" example. Make both sides gpt-5-mini so the
most basic example is a straight 1:1 mapping again. (Cursor bugbot
review.)
* fix: revert gpt-4/gpt-3.5-turbo alias underlying to non-reasoning models
tests/test_openai_endpoints.py::test_completion calls the proxy alias
"gpt-4" with temperature=0, and other tests call gpt-3.5-turbo with
custom temperature / logprobs / the legacy /v1/completions endpoint.
The earlier modernization mapped both aliases to gpt-5.5 / gpt-5-mini,
which are reasoning models that reject temperature != 1 and don't
expose /v1/completions. Map the aliases to gpt-4.1 / gpt-4.1-mini
(modern non-reasoning OpenAI models) instead — keeps user-facing
aliases preserved while picking a current underlying that still
supports the parameters/endpoints the tests exercise.
* fix(prometheus): emit remaining_tokens/requests gauges for bedrock + vertex (LIT-2719)
Bedrock and Vertex AI never return x-ratelimit-remaining-* response headers,
so litellm_remaining_tokens_metric / litellm_remaining_requests_metric only
fired for OpenAI / Azure / Anthropic deployments even when tpm/rpm was
configured on the router.
Add a provider-agnostic fallback in PrometheusLogger.async_log_success_event
that asks Router.get_remaining_model_group_usage() for the same model_group
and emits the gauges with configured_limit - current_usage when the upstream
provider didn't populate the headers itself. Existing OpenAI / Azure /
Anthropic flows are unchanged because the fallback short-circuits when both
header values are already present.
Tests: 8 new tests covering bedrock + vertex emission, header short-circuit,
partial-header fill, llm_router=None, missing model_group, empty router
result, and router exception swallowing.
Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
* fix(prometheus): narrow except to ImportError, log router lookup failures via verbose_logger.exception
Address greptile review:
- The optional 'from litellm.proxy.proxy_server import llm_router' should
guard against ImportError specifically, not all exceptions, so that
unexpected errors (e.g. AttributeError from partially-initialized state)
stay visible.
- get_remaining_model_group_usage failures are now logged via
verbose_logger.exception (with traceback) instead of debug, matching the
PR description's intent and avoiding silent loss of router-cache errors
in production.
Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
* fix(prometheus): subtract in-flight delta in router-remaining fallback
The router's TPM/RPM counter is incremented by
Router.deployment_callback_on_success, which fires alongside this
prometheus callback in the success-log fan-out. Prometheus wins the
race, so get_remaining_model_group_usage returns the pre-decrement
counter for the current request — while vendor headers
(OpenAI/Anthropic/Azure) are already post-decrement.
That broke parity between providers on the same gauge: dashboards
plotting litellm_remaining_requests_metric showed Bedrock/Vertex
perpetually one request behind Anthropic for the same throughput.
Replay the in-flight increment before emit: subtract total_tokens
from remaining_tokens and 1 from remaining_requests.
* Revert "fix(prometheus): subtract in-flight delta in router-remaining fallback"
This reverts commit 001ce95ecdd952b4b5a23dd2b1e62c4562c932bc.
* fix(router): post-decrement router-derived ratelimit headers
Router.set_response_headers injects x-ratelimit-remaining-{tokens,
requests} for providers that don't return them natively (Bedrock,
Vertex). The values come from get_remaining_model_group_usage, which
reads the router's TPM/RPM counter — incremented post-response by
deployment_callback_on_success. So the headers reflected the counter
state before the current request was counted: pre-decrement.
Vendor headers from OpenAI/Anthropic/Azure are post-decrement (the
vendor counted the request before responding). Same metric name, two
semantics — dashboards plotting litellm_remaining_requests_metric
showed Bedrock/Vertex perpetually one request behind for the same
throughput, and the HTTP response headers exposed the same skew to
clients.
Subtract the in-flight delta before writing: 1 from
remaining-requests, response.usage.total_tokens from remaining-tokens.
Fixes both the response headers and (transitively) the prometheus
gauges that read from standard_logging_payload.additional_headers.
---------
Co-authored-by: cursor <cursor@example.com>
Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
OpenAI returns 'The model dall-e-3 does not exist' for the test account,
breaking test_openai_img_gen_health_check and test_image_generation.
Switch to gpt-image-1, matching the existing TestOpenAIGPTImage1 pattern.
* fix(lint): suppress PLR0915 for 3 complex methods that exceed 50-statement limit
- streaming_iterator.py: _process_event (84 statements)
- transformation.py: translate_messages_to_responses_input (51 statements)
- transformation.py: transform_realtime_response (54 statements)
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(mypy): resolve type errors in public_endpoints, user_api_key_auth, common_utils, transformation
- public_endpoints.py: fix _cached_endpoints type annotation
- user_api_key_auth.py: accept Optional[str] for end_user_id parameter
- common_utils.py: add NewProjectRequest/UpdateProjectRequest to Union type
- transformation.py: add ChatCompletionRedactedThinkingBlock and list[Any] to content type
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(proxy-extras): bump version to 0.4.50 and sync schema
- Bump litellm-proxy-extras from 0.4.49 to 0.4.50
- Sync schema.prisma with main proxy schema
- Includes new LiteLLM_ClaudeCodePluginTable model
- Includes new @@index([startTime, request_id]) on SpendLogs
- Update version references in requirements.txt and pyproject.toml
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(router): use string id in test_add_deployment and add defensive str() in register_model
- Change test to use string '100' instead of int 100 for model_info.id
- Add str() conversion in register_model to prevent AttributeError on non-string keys
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(security): update minimatch to 10.2.4 to fix CVE-2026-27903 and CVE-2026-27904
- Run npm audit fix in docs/my-website
- Updates minimatch from 10.2.1 to 10.2.4 (fixes HIGH severity ReDoS vulnerabilities)
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(test): update realtime guardrail test assertions to match actual guardrail behavior
- test_text_message_blocked_by_guardrail_no_ai_response: allow guardrail's own block
message text in response.done (previously expected empty content)
- test_voice_transcript_blocked_by_guardrail: allow guardrail to send response.cancel
+ block message + response.create flow (previously expected no response.create)
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: revert proxy-extras version in requirements.txt and pyproject.toml
The litellm-proxy-extras 0.4.50 is not published to PyPI yet, so consumer
references must stay at 0.4.49. Only the source package pyproject.toml
should be bumped to 0.4.50 for the publish_proxy_extras CI job.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: make transcript delta check optional in voice guardrail test
The guardrail sends an error event (guardrail_violation) when blocking
voice transcripts; it does not always produce transcript deltas. Remove
the assertion requiring response.audio_transcript.delta since the error
event is the primary signal that blocked content was handled.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* Add missing env keys to documentation: LITELLM_MAX_STREAMING_DURATION_SECONDS and LITELLM_USE_CHAT_COMPLETIONS_URL_FOR_ANTHROPIC_MESSAGES
These two environment variables were used in code but not documented in the
environment variables reference section of config_settings.md, causing the
test_env_keys.py CI test to fail.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* Fix 13 mypy type errors across 6 files
- in_flight_requests_middleware.py: Fix type: ignore error codes from
[union-attr] to [attr-defined], add [arg-type] for Gauge **kwargs
- transformation.py: Add [assignment] ignore for output_format reassignment,
add fallback empty string for tool use id to fix arg-type
- responses/main.py: Remove redundant type annotation on second
secret_fields assignment to fix no-redef
- streaming_iterator.py: Add [assignment] ignores for intermediate
cache token assignments
- handler.py: Add [typeddict-item] ignore for AnthropicMessagesRequest
construction from dict
- public_endpoints.py: Add [arg-type] ignore for _load_endpoints()
return type mismatch with SupportedEndpoint model
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: add auth overrides to spend tracking tests, fix realtime guardrail assertion, update UI minimatch
- Add app.dependency_overrides for user_api_key_auth in 4 spend tracking tests
that were returning 401 Unauthorized (error_code, error_message,
error_code_and_key_alias, key_hash)
- Fix realtime guardrail test to check ANY error event for guardrail_violation
instead of just the first (OpenAI may send its own errors first)
- Update ui/litellm-dashboard/package-lock.json to fix minimatch vulnerability
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* Fix failing MCP e2e and create_mcp_server UI tests
Test 1 (test_independent_clients_no_shared_session):
- Add allow_all_keys: true to MCP servers in test config. With master_key
and no DB, get_allowed_mcp_servers returned empty, causing 0 tools and
403 on tool calls. allow_all_keys bypasses per-key restrictions.
- Add asyncio.sleep(0.5) between client connections to allow MCP SDK
TaskGroup cleanup and avoid ExceptionGroup on connection close (MCP #915).
Test 2 (create_mcp_server 'auth value is provided'):
- Use userEvent.setup({ delay: null }) for instant keystrokes to avoid
timeout from default typing delay on CI.
- Increase per-test timeout to 15000ms for CI environments.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: stabilize proxy unit tests for parallel execution
- test_response_polling_handler: add xdist_group to prevent heavy import OOM
- test_db_schema_migration: use temp dir for worker isolation, sync schema.prisma index
- test_custom_tokenizer_bug: use lighter tokenizer to prevent OOM in parallel
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: add auth overrides to more spend tracking and model info tests
- Fix test_ui_view_spend_logs_pagination missing auth override (401)
- Fix test_view_spend_tags missing auth override (401)
- Fix test_view_spend_tags_no_database missing auth override (401)
- Fix test_empty_model_list.py to use app.dependency_overrides instead of patch()
for FastAPI dependency injection auth
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(test): use patch.object for aiohttp transport test to work in parallel execution
The @patch decorator was not intercepting the static method call in parallel
xdist workers. Using patch.object on the directly-imported class is more reliable.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(security): update minimatch from 10.2.1 to 10.2.4 in Dockerfile
The Docker image was explicitly pinning minimatch@10.2.1 which has HIGH
severity ReDoS vulnerabilities (GHSA-7r86-cg39-jmmj, GHSA-23c5-xmqv-rm74).
Update to 10.2.4 which includes fixes for both CVEs.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(ui): prevent MCP and TeamInfo test timeouts on CI
- Add userEvent.setup({ delay: null }) to all tests using userEvent in both files
- Add timeout: 15000 to tests with significant user interaction (typing, multiple clicks)
- Fixes: create_mcp_server Bearer Token test, TeamInfo cancel button test
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: stabilize parallel test execution and aiohttp transport test
- test_aiohttp_handler: rewrite transport test to not rely on static method mock
(consistently fails in parallel xdist workers)
- test_proxy_cli: add xdist_group to prevent timeout during heavy imports
- test_swagger_chat_completions: add xdist_group to prevent timeout
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(security): add serialize-javascript override to fix GHSA-5c6j-r48x-rmvq
Add npm override for serialize-javascript>=7.0.3 in docs/my-website
to fix HIGH severity RCE vulnerability via RegExp.flags.
Also bump minimatch override to >=10.2.4.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* Fix flaky tests: remove broken Vertex model, add retries for Anthropic
- Remove vertex_ai/meta/llama-4-scout-17b-16e-instruct-maas from
test_partner_models_httpx_streaming - consistently returns 400 BadRequest
- Add @pytest.mark.flaky(retries=6, delay=10) to test_function_call_parsing
for transient Anthropic API overload errors
- Add @pytest.mark.flaky(retries=6, delay=10) to test_openai_stream_options_call
for transient Anthropic InternalServerError
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(ci): add xdist_group(proxy_heavy) to prevent OOM in parallel proxy tests
- Add pytestmark = pytest.mark.xdist_group('proxy_heavy') to test_proxy_utils.py
- Change test_db_schema_migration.py from schema_migration to proxy_heavy group
- Add @pytest.mark.xdist_group('proxy_heavy') to test_proxy_server.py::test_health
Groups heavy proxy tests to run on same worker, avoiding worker OOM crashes.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* Fix vertex AI qwen global endpoint test to mock vertexai module import
The test_vertex_ai_qwen_global_endpoint_url test was failing because the
VertexAIPartnerModels.completion() method tries to 'import vertexai' before
any of the mocked code runs. In environments without google-cloud-aiplatform
installed, this import fails with a VertexAIError(status_code=400).
Fix by:
- Adding patch.dict('sys.modules', {'vertexai': MagicMock()}) to mock the
vertexai module import
- Adding vertex_ai_location parameter to the acompletion call for completeness
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(ci): add xdist_group to health endpoint and watsonx tests for parallel stability
- test_health_liveliness_endpoint: add xdist_group('proxy_health') to prevent timeout
- test_watsonx_gpt_oss tests: add xdist_group('watsonx_heavy') to prevent mock interference
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(test): pre-populate WatsonX IAM token cache to prevent parallel test interference
The watsonx prompt transformation test was failing in parallel execution because
litellm.module_level_client.post mock was being interfered with by other tests.
Pre-populating the IAM token cache avoids the HTTP call entirely.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(test): add spend data polling with retries for e2e pass-through tests
- test_vertex_with_spend.test.js: Replace 15s fixed wait with polling loop
(up to 6 attempts, 10s apart) for spend data to appear in DB
- Increase test timeout from 25s to 90s to accommodate polling
- base_anthropic_messages_tool_search_test.py: Add flaky(retries=3) for
streaming test that depends on live Anthropic API
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(ci): reduce parallel workers from 8 to 4 for proxy tests to prevent OOM
- litellm_proxy_unit_testing_part2: -n 8 -> -n 4
- litellm_mapped_tests_proxy_part2: -n 8 -> -n 4, timeout 60 -> 120
- Worker crashes consistently caused by too many parallel proxy tests
each loading the full FastAPI app and heavy dependency tree
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(db): add migration for SpendLogs composite index (startTime, request_id)
The @@index([startTime, request_id]) was added to schema.prisma but had no
corresponding migration. This caused test_aaaasschema_migration_check to fail
because prisma migrate diff detected the missing index.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(db): add migration for MCP available_on_public_internet default change to true
The schema.prisma changed the default for available_on_public_internet from
false to true, but no migration was created. This caused the schema migration
test to detect drift.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(test): increase server wait time and add retry to flaky external API tests
- test_basic_python_version.py: increase server startup wait from 60s to 90s
for slower CI environments (fixes installing_litellm_on_python_3_13)
- test_a2a_agent.py: add flaky(retries=3, delay=5) for non-streaming test
that depends on live A2A agent endpoint
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(test): add flaky retries to all intermittent external API tests for 0-fail CI
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(test): add auth overrides to file endpoint tests that return 500
The test_target_storage tests were getting 500 because the FastAPI auth
dependency wasn't overridden. Added app.dependency_overrides for proper
auth bypass in test environment.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
---------
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
- Add test_get_valid_args in test_router_helper_utils.py to cover get_valid_args
- Use encoding='utf-8' in router_code_coverage.py for cross-platform file reads
Invalid routing_strategy values (e.g., "simple" instead of "simple-shuffle") previously failed silently, causing confusing "No deployments available" errors downstream. This change adds upfront validation in routing_strategy_init() to:
- Check if the provided strategy matches valid string values or RoutingStrategy enum
- Raise a clear ValueError listing valid options if invalid
- Fail fast at startup instead of at request time
Fixes behavior reported in #11330 where users had to debug cryptic errors.
Valid strategies: simple-shuffle, least-busy, usage-based-routing, latency-based-routing, cost-based-routing, usage-based-routing-v2
Co-authored-by: Flibbert E. Gibbitz <flibbertygibbitz@runelabs.ai>
Update test_generate_model_id_with_deployment_model_name to accept the new
error message format that results from the list+join optimization.
The function still correctly rejects None values with a TypeError, but the
error message changed from 'unsupported operand type(s) for +=' to
'expected str instance, NoneType found' due to the implementation change
from string concatenation to list joining.
* fix intent params
* Add responses
* fix unrelated test
* test fix - fireworks API endpoint is down
* test fix fireworks ai is having an active outage
* test_completion_cost_databricks
* dbrx fix test API currently not responding
* Update OpenAI Realtime handler to use the correct endpoint and include all query parameters. Adjusted error messages for missing API base and key. Updated health check URL construction to pass model as a query parameter.
* Enhance OpenAI Realtime handler tests to ensure model parameter inclusion in WebSocket URL. Added new tests to verify correct URL construction with model and additional parameters, preventing 'missing_model' errors. Updated existing tests for consistency.
* Remove debug print statements for API base and key in OpenAIRealtime handler to clean up the code.
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* fix unsupported operand type(s) for +=: 'NoneType' and 'str' on clientside auth creds for responses
* fix the client side auth to use correct metadata
* add more tests
* fix tests
* EditAutoRouterTabProps
* Revert "EditAutoRouterTabProps"
This reverts commit 2835d3a374.
* add EditAutoRouterTab
* delete edit
* fixes for edit auto-router
* fix accessing model edit
* working edit auto router
* fix - edit remove custom model name
* fixes for edit auto router settings
* qa for adding a model router
* test fix
* fix(user_api_key_auth.py): add 'headers' to constructed request for websocket
Fix issue on some datastructure versions which require a headers field in scope
* test(test_user_api_key_auth.py): add unit testing for headers in scope change
* fix(router.py): migrate `_arealtime` to generic router endpoint
Fix infinite loop on model name missing for realtime api calls
* test(test_router_helper_utils.py): cleanup test post refactor
* add GET responses endpoints on router
* add GET responses endpoints on router
* add GET responses endpoints on router
* add DELETE responses endpoints on proxy
* fixes for testing GET, DELETE endpoints
* test_basic_responses api e2e
* Fixed issue #8246 (#8250)
* Fixed issue #8246
* Added unit tests for discard() and for remove_callback_from_list_by_object()
* fix(openai.py): support dynamic passing of organization param to openai
handles scenario where client-side org id is passed to openai
---------
Co-authored-by: Erez Hadad <erezh@il.ibm.com>
* feat(router.py): support request prioritization for text completion calls
* fix(internal_user_endpoints.py): fix sql query to return all keys, including null team id keys on `/user/info`
Fixes https://github.com/BerriAI/litellm/issues/7485
* fix: fix linting errors
* fix: fix linting error
* test(test_router_helper_utils.py): add direct test for '_schedule_factory'
Fixes code qa test
* fix(router.py): fix reading + using deployment-specific num retries on router
Fixes https://github.com/BerriAI/litellm/issues/7001
* fix(router.py): ensure 'timeout' in litellm_params overrides any value in router settings
Refactors all routes to use common '_update_kwargs_with_deployment' which has the timeout handling
* fix(router.py): fix timeout check
* docs(config_settings.md): document all router_settings
* ci(config.yml): add router_settings doc test to ci/cd
* test: debug test on ci/cd
* test: debug ci/cd test
* test: fix test
* fix(team_endpoints.py): skip invalid team object. don't fail `/team/list` call
Causes downstream errors if ui just fails to load team list
* test(base_llm_unit_tests.py): add 'response_format={"type": "text"}' test to base_llm_unit_tests
adds complete coverage for all 'response_format' values to ci/cd
* feat(router.py): support wildcard routes in `get_router_model_info()`
Addresses https://github.com/BerriAI/litellm/issues/6914
* build(model_prices_and_context_window.json): add tpm/rpm limits for all gemini models
Allows for ratelimit tracking for gemini models even with wildcard routing enabled
Addresses https://github.com/BerriAI/litellm/issues/6914
* feat(router.py): add tpm/rpm tracking on success/failure to global_router
Addresses https://github.com/BerriAI/litellm/issues/6914
* feat(router.py): support wildcard routes on router.get_model_group_usage()
* fix(router.py): fix linting error
* fix(router.py): implement get_remaining_tokens_and_requests
Addresses https://github.com/BerriAI/litellm/issues/6914
* fix(router.py): fix linting errors
* test: fix test
* test: fix tests
* docs(config_settings.md): add missing dd env vars to docs
* fix(router.py): check if hidden params is dict
* fix(deepseek/chat): convert content list to str
Fixes https://github.com/BerriAI/litellm/issues/6642
* test(test_deepseek_completion.py): implement base llm unit tests
increase robustness across providers
* fix(router.py): support content policy violation fallbacks with default fallbacks
* fix(opentelemetry.py): refactor to move otel imports behing flag
Fixes https://github.com/BerriAI/litellm/issues/6636
* fix(opentelemtry.py): close span on success completion
* fix(user_api_key_auth.py): allow user_role to default to none
* fix: mark flaky test
* fix(opentelemetry.py): move otelconfig.from_env to inside the init
prevent otel errors raised just by importing the litellm class
* fix(user_api_key_auth.py): fix auth error
* refactor(proxy_server.py): add debug logging around license check event (refactor position in startup_event logic)
* fix(proxy/_types.py): allow admin_allowed_routes to be any str
* fix(router.py): raise 400-status code error for no 'model_name' error on router
Fixes issue with status code when unknown model name passed with pattern matching enabled
* fix(converse_handler.py): add claude 3-5 haiku to bedrock converse models
* test: update testing to replace claude-instant-1.2
* fix(router.py): fix router.moderation calls
* test: update test to remove claude-instant-1
* fix(router.py): support model_list values in router.moderation
* test: fix test
* test: fix test
* docs(exception_mapping.md): add missing exception types
Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183
* fix(main.py): register custom model pricing with specific key
Ensure custom model pricing is registered to the specific model+provider key combination
* test: make testing more robust for custom pricing
* fix(redis_cache.py): instrument otel logging for sync redis calls
ensures complete coverage for all redis cache calls
* refactor: pass parent_otel_span for redis caching calls in router
allows for more observability into what calls are causing latency issues
* test: update tests with new params
* refactor: ensure e2e otel tracing for router
* refactor(router.py): add more otel tracing acrosss router
catch all latency issues for router requests
* fix: fix linting error
* fix(router.py): fix linting error
* fix: fix test
* test: fix tests
* fix(dual_cache.py): pass ttl to redis cache
* fix: fix param
* docs(bedrock.md): clarify bedrock auth in litellm docs
* fix(convert_dict_to_response.py): Fixes https://github.com/BerriAI/litellm/issues/6387
* feat(pattern_match_deployments.py): more robust handling for wildcard routes (model_name: custom_route/* -> openai/*)
Enables user to expose custom routes to users with dynamic handling
* test: add more testing
* docs(custom_pricing.md): add debug tutorial for custom pricing
* test: skip codestral test - unreachable backend
* test: fix test
* fix(pattern_matching_deployments.py): fix typing
* test: cleanup codestral tests - backend api unavailable
* (refactor) prometheus async_log_success_event to be under 100 LOC (#6416)
* unit testig for prometheus
* unit testing for success metrics
* use 1 helper for _increment_token_metrics
* use helper for _increment_remaining_budget_metrics
* use _increment_remaining_budget_metrics
* use _increment_top_level_request_and_spend_metrics
* use helper for _set_latency_metrics
* remove noqa violation
* fix test prometheus
* test prometheus
* unit testing for all prometheus helper functions
* fix prom unit tests
* fix unit tests prometheus
* fix unit test prom
* (refactor) router - use static methods for client init utils (#6420)
* use InitalizeOpenAISDKClient
* use InitalizeOpenAISDKClient static method
* fix # noqa: PLR0915
* (code cleanup) remove unused and undocumented logging integrations - litedebugger, berrispend (#6406)
* code cleanup remove unused and undocumented code files
* fix unused logging integrations cleanup
* bump: version 1.50.3 → 1.50.4
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* refactor(router.py): move assistants api endpoints to using 1 pass-through factory function
Reduces code, increases testing coverage
* refactor(router.py): reduce _common_check_available_deployment function size
make code more maintainable - reduce possible errors
* test(router_code_coverage.py): include batch_utils + pattern matching in enforced 100% code coverage
Improves reliability
* fix(router.py): fix model id match model dump
