Commit Graph

26 Commits

Author SHA1 Message Date
Mateo Wang 2c733c00f5 chore(ci): modernize model references in tests and configs (#27856)
* 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.
2026-05-15 15:44:28 -07:00
Ishaan Jaffer e8461b5b97 style: run black formatter on files from main merge 2026-04-17 13:02:59 -07:00
Ishaan Jaffer 98c2d90f5c fix(logging): update test_get_additional_headers to reflect provider header passthrough 2026-04-15 12:23:33 -07:00
Sameer Kankute 36ec80d90c Fix azure model router 2026-03-12 12:40:37 +05:30
Ryan Crabbe 7dda6b0cbb perf: skip Usage Pydantic round-trip in logging payload (6.8x faster) 2026-02-11 12:39:45 -08:00
ryan-crabbe 8c7051686b perf: optimize get_standard_logging_metadata with set intersection (#19685)
* 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
2026-02-07 09:35:03 -08:00
Sameer Kankute eb49adb201 Add user auth in standard logging object for bedrock passthrough 2026-01-15 18:36:06 +05:30
Dima-Mediator 7c61933bc5 Fix image tokens spend logging for /images/generations 2026-01-12 23:07:08 -05:00
Ishaan Jaff 2dd38420a7 [Feat] - Cost Tracking - show input, output, tool call cost breakdown in StandardLoggingPayload (#14921)
* add new CostBreakdown typed dict

* fix CostBreakdown type

* fix fix _store_cost_breakdown_in_logging_obj

* fix CostBreakdown

* test_cost_breakdown_in_standard_logging_payload
2025-09-25 15:48:22 -07:00
Mubashir Osmani 8b804303ed fix: ci/cd tests + lint errors (#14646)
* fix: lint errors + tests

* fixed ci tests

* fixed tests

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
2025-09-17 17:06:43 -07:00
Ishaan Jaff 331e784db4 [Feat] Responses API - Add session management support for non-openai models (#10321)
* add session id in spendLogs

* fix log proxy server request as independant field

* use trace id for SpendLogs

* add _ENTERPRISE_ResponsesSessionHandler

* use _ENTERPRISE_ResponsesSessionHandler

* working session_ids

* working session management

* working session_ids

* test_async_gcs_pub_sub_v1

* test_spend_logs_payload_e2e

* working session_ids

* test_get_standard_logging_payload_trace_id

* test_get_standard_logging_payload_trace_id

* test_gcs_pub_sub.py

* fix all linting errors

* test_spend_logs_payload_with_prompts_enabled

* _ENTERPRISE_ResponsesSessionHandler

* _ENTERPRISE_ResponsesSessionHandler

* expose session id on ui

* get spend logs by session

* add sessionSpendLogsCall

* add session handling

* session logs

* ui session details

* fix on rowExpandDetails

* ui working sessions
2025-04-25 23:24:24 -07:00
Ishaan Jaff 3a086cee06 (Feat) - Show Error Logs on LiteLLM UI (#8904)
* fix test_moderations_bad_model

* use async_post_call_failure_hook

* basic logging errors in DB

* show status on ui

* show status on ui

* ui show request / response side by side

* stash fixes

* working, track raw request

* track error info in metadata

* fix showing error / request / response logs

* show traceback on error viewer

* ui with traceback of error

* fix async_post_call_failure_hook

* fix(http_parsing_utils.py): orjson can throw errors on some emoji's in text, default to json.loads

* test_get_error_information

* fix code quality

* rename proxy track cost callback test

* _should_store_errors_in_spend_logs

* feature flag error logs

* Revert "_should_store_errors_in_spend_logs"

This reverts commit 7f345df47762ff3be04e6fde2f13e70019ede4ee.

* Revert "feature flag error logs"

This reverts commit 0e90c022bbea3550f169118d81e60d711a4024fe.

* test_spend_logs_payload

* fix OTEL log_db_metrics

* fix import json

* fix ui linting error

* test_async_post_call_failure_hook

* test_chat_completion_bad_model_with_spend_logs

---------

Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
2025-02-28 20:10:09 -08:00
Ishaan Jaff 9fef0a6d16 (fix) GCS bucket logger - apply truncate_standard_logging_payload_content to standard_logging_payload and ensure GCS flushes queue on fails (#7519)
* fix async_send_batch for gcs

* fix truncate GCS logger

* test_truncate_standard_logging_payload
2025-01-03 08:09:03 -08:00
Ishaan Jaff a790d43116 [Bug Fix]: ImportError: cannot import name 'T' from 're' (#7314)
* fix unused imports

* add test for python 3.12

* re introduce error - as a test

* update config for ci/cd

* fix python 13 install

* bump pyyaml

* bump numpy

* fix embedding requests

* bump pillow dep

* bump version

* bump pydantic

* bump tiktoken

* fix import

* fix python 3.13 import

* fix unused imports in tests/*
2024-12-19 13:09:30 -08:00
Krish Dholakia b150faff90 Litellm dev 12 13 2024 p1 (#7219)
* fix(litellm_logging.py): pass user metadata to langsmith on sdk calls

* fix(litellm_logging.py): pass nested user metadata to logging integration - e.g. langsmith

* fix(exception_mapping_utils.py): catch and clarify watsonx `/text/chat` endpoint not supported error message.

Closes https://github.com/BerriAI/litellm/issues/7213

* fix(watsonx/common_utils.py): accept new 'WATSONX_IAM_URL' env var

allows user to use local watsonx

Fixes https://github.com/BerriAI/litellm/issues/4991

* fix(litellm_logging.py): cleanup unused function

* test: skip bad ibm test
2024-12-13 19:01:28 -08:00
Ishaan Jaff 431c86cbf5 (feat) add error_code, error_class, llm_provider to StandardLoggingPayload (#7200)
* add StandardLoggingPayloadErrorInformation to error

* test_get_error_information
2024-12-12 12:18:10 -08:00
Ishaan Jaff 153ab055d6 (feat) add response_time to StandardLoggingPayload - logged on datadog, gcs_bucket, s3_bucket etc (#7199)
* feat - add response_time to slp

* test_get_response_time

* docs slp

* fix test_datadog_logging_http_request
2024-12-12 12:04:43 -08:00
Ishaan Jaff 5e5d61d9db (fixes) datadog logging - handle 1MB max log size on DD (#6996)
* fix dd truncate_standard_logging_payload_content

* dd truncate_standard_logging_payload_content

* fix test_datadog_payload_content_truncation

* add clear msg on _truncate_text

* test_truncate_standard_logging_payload

* fix linting error

* fix linting errors
2024-12-02 23:08:28 -08:00
Krish Dholakia b514f39821 Litellm 12 02 2024 (#6994)
* add the logprobs param for fireworks ai (#6915)

* add the logprobs param for fireworks ai

* (feat) pass through llm endpoints - add `PATCH` support (vertex context caching requires for update ops)  (#6924)

* add PATCH for pass through endpoints

* test_pass_through_routes_support_all_methods

* sonnet supports pdf, haiku does not (#6928)

* (feat) DataDog Logger - Add Failure logging + use Standard Logging payload (#6929)

* add async_log_failure_event for dd

* use standard logging payload for DD logging

* use standard logging payload for DD

* fix use SLP status

* allow opting into _create_v0_logging_payload

* add unit tests for DD logging payload

* fix dd logging tests

* (feat) log proxy auth errors on datadog  (#6931)

* add new dd type for auth errors

* add async_log_proxy_authentication_errors

* fix comment

* use async_log_proxy_authentication_errors

* test_datadog_post_call_failure_hook

* test_async_log_proxy_authentication_errors

* (feat) Allow using include to include external YAML files in a config.yaml (#6922)

* add helper to process inlcudes directive on yaml

* add doc on config management

* unit tests for `include` on config.yaml

* bump: version 1.52.16 → 1.53.

* (feat) dd logger - set tags according to the values set by those env vars  (#6933)

* dd logger, inherit from .envs

* test_datadog_payload_environment_variables

* fix _get_datadog_service

* build(ui/): update ui build

* bump: version 1.53.0 → 1.53.1

* Revert "(feat) Allow using include to include external YAML files in a config.yaml (#6922)"

This reverts commit 68e59824a3.

* LiteLLM Minor Fixes & Improvements (11/26/2024)  (#6913)

* 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

* LiteLLM Minor Fixes & Improvements (11/27/2024) (#6943)

* fix(http_parsing_utils.py): remove `ast.literal_eval()` from http utils

Security fix - https://huntr.com/bounties/96a32812-213c-4819-ba4e-36143d35e95b?token=bf414bbd77f8b346556e
64ab2dd9301ea44339910877ea50401c76f977e36cdd78272f5fb4ca852a88a7e832828aae1192df98680544ee24aa98f3cf6980d8
bab641a66b7ccbc02c0e7d4ddba2db4dbe7318889dc0098d8db2d639f345f574159814627bb084563bad472e2f990f825bff0878a9
e281e72c88b4bc5884d637d186c0d67c9987c57c3f0caf395aff07b89ad2b7220d1dd7d1b427fd2260b5f01090efce5250f8b56ea2
c0ec19916c24b23825d85ce119911275944c840a1340d69e23ca6a462da610

* fix(converse/transformation.py): support bedrock apac cross region inference

Fixes https://github.com/BerriAI/litellm/issues/6905

* fix(user_api_key_auth.py): add auth check for websocket endpoint

Fixes https://github.com/BerriAI/litellm/issues/6926

* fix(user_api_key_auth.py): use `model` from query param

* fix: fix linting error

* test: run flaky tests first

* docs: update the docs (#6923)

* (bug fix) /key/update was not storing `budget_duration` in the DB  (#6941)

* fix - store budget_duration for keys

* test_generate_and_update_key

* test_update_user_unit_test

* fix user update

* (fix) handle json decode errors for DD exception logging (#6934)

* fix JSONDecodeError

* handle async_log_proxy_authentication_errors

* fix test_async_log_proxy_authentication_errors_get_request

* Revert "Revert "(feat) Allow using include to include external YAML files in a config.yaml (#6922)""

This reverts commit 5d13302e6b.

* (docs + fix) Add docs on Moderations endpoint, Text Completion  (#6947)

* fix _pass_through_moderation_endpoint_factory

* fix route_llm_request

* doc moderations api

* docs on /moderations

* add e2e tests for moderations api

* docs moderations api

* test_pass_through_moderation_endpoint_factory

* docs text completion

* (feat) add enforcement for unique key aliases on /key/update and /key/generate  (#6944)

* add enforcement for unique key aliases

* fix _enforce_unique_key_alias

* fix _enforce_unique_key_alias

* fix _enforce_unique_key_alias

* test_enforce_unique_key_alias

* (fix) tag merging / aggregation logic   (#6932)

* use 1 helper to merge tags + ensure unique ness

* test_add_litellm_data_to_request_duplicate_tags

* fix _merge_tags

* fix proxy utils test

* fix doc string

* (feat) Allow disabling ErrorLogs written to the DB  (#6940)

* fix - allow disabling logging error logs

* docs on disabling error logs

* doc string for _PROXY_failure_handler

* test_disable_error_logs

* rename file

* fix rename file

* increase test coverage for test_enable_error_logs

* fix(key_management_endpoints.py): support 'tags' param on `/key/update` (#6945)

* LiteLLM Minor Fixes & Improvements (11/29/2024)  (#6965)

* fix(factory.py): ensure tool call converts image url

Fixes https://github.com/BerriAI/litellm/issues/6953

* fix(transformation.py): support mp4 + pdf url's for vertex ai

Fixes https://github.com/BerriAI/litellm/issues/6936

* fix(http_handler.py): mask gemini api key in error logs

Fixes https://github.com/BerriAI/litellm/issues/6963

* docs(prometheus.md): update prometheus FAQs

* feat(auth_checks.py): ensure specific model access > wildcard model access

if wildcard model is in access group, but specific model is not - deny access

* fix(auth_checks.py): handle auth checks for team based model access groups

handles scenario where model access group used for wildcard models

* fix(internal_user_endpoints.py): support adding guardrails on `/user/update`

Fixes https://github.com/BerriAI/litellm/issues/6942

* fix(key_management_endpoints.py): fix prepare_metadata_fields helper

* fix: fix tests

* build(requirements.txt): bump openai dep version

fixes proxies argument

* test: fix tests

* fix(http_handler.py): fix error message masking

* fix(bedrock_guardrails.py): pass in prepped data

* test: fix test

* test: fix nvidia nim test

* fix(http_handler.py): return original response headers

* fix: revert maskedhttpstatuserror

* test: update tests

* test: cleanup test

* fix(key_management_endpoints.py): fix metadata field update logic

* fix(key_management_endpoints.py): maintain initial order of guardrails in key update

* fix(key_management_endpoints.py): handle prepare metadata

* fix: fix linting errors

* fix: fix linting errors

* fix: fix linting errors

* fix: fix key management errors

* fix(key_management_endpoints.py): update metadata

* test: update test

* refactor: add more debug statements

* test: skip flaky test

* test: fix test

* fix: fix test

* fix: fix update metadata logic

* fix: fix test

* ci(config.yml): change db url for e2e ui testing

* bump: version 1.53.1 → 1.53.2

* Updated config.yml

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: Sara Han <127759186+sdiazlor@users.noreply.github.com>

* fix(exceptions.py): ensure ratelimit error code == 429, type == "throttling_error"

Fixes https://github.com/BerriAI/litellm/pull/6973

* fix(utils.py): add jina ai dimensions embedding param support

Fixes https://github.com/BerriAI/litellm/issues/6591

* fix(exception_mapping_utils.py): add bedrock 'prompt is too long' exception to context window exceeded error exception mapping

Fixes https://github.com/BerriAI/litellm/issues/6629

Closes https://github.com/BerriAI/litellm/pull/6975

* fix(litellm_logging.py): strip trailing slash for api base

Closes https://github.com/BerriAI/litellm/pull/6859

* test: skip timeout issue

---------

Co-authored-by: ershang-dou <erlie.shang@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
Co-authored-by: Sara Han <127759186+sdiazlor@users.noreply.github.com>
2024-12-02 23:08:28 -08:00
Ishaan Jaff 2d10f48c43 (fixes) datadog logging - handle 1MB max log size on DD (#6996)
* fix dd truncate_standard_logging_payload_content

* dd truncate_standard_logging_payload_content

* fix test_datadog_payload_content_truncation

* add clear msg on _truncate_text

* test_truncate_standard_logging_payload

* fix linting error

* fix linting errors
2024-12-02 23:01:42 -08:00
Krish Dholakia 89fcd7b0e1 Litellm 12 02 2024 (#6994)
* add the logprobs param for fireworks ai (#6915)

* add the logprobs param for fireworks ai

* (feat) pass through llm endpoints - add `PATCH` support (vertex context caching requires for update ops)  (#6924)

* add PATCH for pass through endpoints

* test_pass_through_routes_support_all_methods

* sonnet supports pdf, haiku does not (#6928)

* (feat) DataDog Logger - Add Failure logging + use Standard Logging payload (#6929)

* add async_log_failure_event for dd

* use standard logging payload for DD logging

* use standard logging payload for DD

* fix use SLP status

* allow opting into _create_v0_logging_payload

* add unit tests for DD logging payload

* fix dd logging tests

* (feat) log proxy auth errors on datadog  (#6931)

* add new dd type for auth errors

* add async_log_proxy_authentication_errors

* fix comment

* use async_log_proxy_authentication_errors

* test_datadog_post_call_failure_hook

* test_async_log_proxy_authentication_errors

* (feat) Allow using include to include external YAML files in a config.yaml (#6922)

* add helper to process inlcudes directive on yaml

* add doc on config management

* unit tests for `include` on config.yaml

* bump: version 1.52.16 → 1.53.

* (feat) dd logger - set tags according to the values set by those env vars  (#6933)

* dd logger, inherit from .envs

* test_datadog_payload_environment_variables

* fix _get_datadog_service

* build(ui/): update ui build

* bump: version 1.53.0 → 1.53.1

* Revert "(feat) Allow using include to include external YAML files in a config.yaml (#6922)"

This reverts commit 68e59824a3.

* LiteLLM Minor Fixes & Improvements (11/26/2024)  (#6913)

* 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

* LiteLLM Minor Fixes & Improvements (11/27/2024) (#6943)

* fix(http_parsing_utils.py): remove `ast.literal_eval()` from http utils

Security fix - https://huntr.com/bounties/96a32812-213c-4819-ba4e-36143d35e95b?token=bf414bbd77f8b346556e
64ab2dd9301ea44339910877ea50401c76f977e36cdd78272f5fb4ca852a88a7e832828aae1192df98680544ee24aa98f3cf6980d8
bab641a66b7ccbc02c0e7d4ddba2db4dbe7318889dc0098d8db2d639f345f574159814627bb084563bad472e2f990f825bff0878a9
e281e72c88b4bc5884d637d186c0d67c9987c57c3f0caf395aff07b89ad2b7220d1dd7d1b427fd2260b5f01090efce5250f8b56ea2
c0ec19916c24b23825d85ce119911275944c840a1340d69e23ca6a462da610

* fix(converse/transformation.py): support bedrock apac cross region inference

Fixes https://github.com/BerriAI/litellm/issues/6905

* fix(user_api_key_auth.py): add auth check for websocket endpoint

Fixes https://github.com/BerriAI/litellm/issues/6926

* fix(user_api_key_auth.py): use `model` from query param

* fix: fix linting error

* test: run flaky tests first

* docs: update the docs (#6923)

* (bug fix) /key/update was not storing `budget_duration` in the DB  (#6941)

* fix - store budget_duration for keys

* test_generate_and_update_key

* test_update_user_unit_test

* fix user update

* (fix) handle json decode errors for DD exception logging (#6934)

* fix JSONDecodeError

* handle async_log_proxy_authentication_errors

* fix test_async_log_proxy_authentication_errors_get_request

* Revert "Revert "(feat) Allow using include to include external YAML files in a config.yaml (#6922)""

This reverts commit 5d13302e6b.

* (docs + fix) Add docs on Moderations endpoint, Text Completion  (#6947)

* fix _pass_through_moderation_endpoint_factory

* fix route_llm_request

* doc moderations api

* docs on /moderations

* add e2e tests for moderations api

* docs moderations api

* test_pass_through_moderation_endpoint_factory

* docs text completion

* (feat) add enforcement for unique key aliases on /key/update and /key/generate  (#6944)

* add enforcement for unique key aliases

* fix _enforce_unique_key_alias

* fix _enforce_unique_key_alias

* fix _enforce_unique_key_alias

* test_enforce_unique_key_alias

* (fix) tag merging / aggregation logic   (#6932)

* use 1 helper to merge tags + ensure unique ness

* test_add_litellm_data_to_request_duplicate_tags

* fix _merge_tags

* fix proxy utils test

* fix doc string

* (feat) Allow disabling ErrorLogs written to the DB  (#6940)

* fix - allow disabling logging error logs

* docs on disabling error logs

* doc string for _PROXY_failure_handler

* test_disable_error_logs

* rename file

* fix rename file

* increase test coverage for test_enable_error_logs

* fix(key_management_endpoints.py): support 'tags' param on `/key/update` (#6945)

* LiteLLM Minor Fixes & Improvements (11/29/2024)  (#6965)

* fix(factory.py): ensure tool call converts image url

Fixes https://github.com/BerriAI/litellm/issues/6953

* fix(transformation.py): support mp4 + pdf url's for vertex ai

Fixes https://github.com/BerriAI/litellm/issues/6936

* fix(http_handler.py): mask gemini api key in error logs

Fixes https://github.com/BerriAI/litellm/issues/6963

* docs(prometheus.md): update prometheus FAQs

* feat(auth_checks.py): ensure specific model access > wildcard model access

if wildcard model is in access group, but specific model is not - deny access

* fix(auth_checks.py): handle auth checks for team based model access groups

handles scenario where model access group used for wildcard models

* fix(internal_user_endpoints.py): support adding guardrails on `/user/update`

Fixes https://github.com/BerriAI/litellm/issues/6942

* fix(key_management_endpoints.py): fix prepare_metadata_fields helper

* fix: fix tests

* build(requirements.txt): bump openai dep version

fixes proxies argument

* test: fix tests

* fix(http_handler.py): fix error message masking

* fix(bedrock_guardrails.py): pass in prepped data

* test: fix test

* test: fix nvidia nim test

* fix(http_handler.py): return original response headers

* fix: revert maskedhttpstatuserror

* test: update tests

* test: cleanup test

* fix(key_management_endpoints.py): fix metadata field update logic

* fix(key_management_endpoints.py): maintain initial order of guardrails in key update

* fix(key_management_endpoints.py): handle prepare metadata

* fix: fix linting errors

* fix: fix linting errors

* fix: fix linting errors

* fix: fix key management errors

* fix(key_management_endpoints.py): update metadata

* test: update test

* refactor: add more debug statements

* test: skip flaky test

* test: fix test

* fix: fix test

* fix: fix update metadata logic

* fix: fix test

* ci(config.yml): change db url for e2e ui testing

* bump: version 1.53.1 → 1.53.2

* Updated config.yml

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: Sara Han <127759186+sdiazlor@users.noreply.github.com>

* fix(exceptions.py): ensure ratelimit error code == 429, type == "throttling_error"

Fixes https://github.com/BerriAI/litellm/pull/6973

* fix(utils.py): add jina ai dimensions embedding param support

Fixes https://github.com/BerriAI/litellm/issues/6591

* fix(exception_mapping_utils.py): add bedrock 'prompt is too long' exception to context window exceeded error exception mapping

Fixes https://github.com/BerriAI/litellm/issues/6629

Closes https://github.com/BerriAI/litellm/pull/6975

* fix(litellm_logging.py): strip trailing slash for api base

Closes https://github.com/BerriAI/litellm/pull/6859

* test: skip timeout issue

---------

Co-authored-by: ershang-dou <erlie.shang@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
Co-authored-by: Sara Han <127759186+sdiazlor@users.noreply.github.com>
2024-12-02 22:00:01 -08:00
Ishaan Jaff ae385cfcdc (QOL improvement) add unit testing for all static_methods in litellm_logging.py (#6640)
* add unit testing for standard logging payload

* unit testing for static methods in litellm_logging

* add code coverage check for litellm_logging

* litellm_logging_code_coverage

* test_get_final_response_obj

* fix validate_redacted_message_span_attributes

* test validate_redacted_message_span_attributes
2024-11-07 16:26:53 -08:00
Krish Dholakia 1e403a8447 Litellm dev 10 29 2024 (#6502)
* fix(core_helpers.py): return None, instead of raising kwargs is None error

Closes https://github.com/BerriAI/litellm/issues/6500

* docs(cost_tracking.md): cleanup doc

* fix(vertex_and_google_ai_studio.py): handle function call with no params passed in

Closes https://github.com/BerriAI/litellm/issues/6495

* test(test_router_timeout.py): add test for router timeout + retry logic

* test: update test to use module level values

* (fix) Prometheus - Log Postgres DB latency, status on prometheus  (#6484)

* fix logging DB fails on prometheus

* unit testing log to otel wrapper

* unit testing for service logger + prometheus

* use LATENCY buckets for service logging

* fix service logging

* docs clarify vertex vs gemini

* (router_strategy/) ensure all async functions use async cache methods (#6489)

* fix router strat

* use async set / get cache in router_strategy

* add coverage for router strategy

* fix imports

* fix batch_get_cache

* use async methods for least busy

* fix least busy use async methods

* fix test_dual_cache_increment

* test async_get_available_deployment when routing_strategy="least-busy"

* (fix) proxy - fix when `STORE_MODEL_IN_DB` should be set (#6492)

* set store_model_in_db at the top

* correctly use store_model_in_db global

* (fix) `PrometheusServicesLogger` `_get_metric` should return metric in Registry  (#6486)

* fix logging DB fails on prometheus

* unit testing log to otel wrapper

* unit testing for service logger + prometheus

* use LATENCY buckets for service logging

* fix service logging

* fix _get_metric in prom services logger

* add clear doc string

* unit testing for prom service logger

* bump: version 1.51.0 → 1.51.1

* Add `azure/gpt-4o-mini-2024-07-18` to model_prices_and_context_window.json (#6477)

* Update utils.py (#6468)

Fixed missing keys

* (perf) Litellm redis router fix - ~100ms improvement (#6483)

* 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

* perf(cooldown_cache.py): improve cooldown cache, to store cache results in memory for 5s, prevents redis call from being made on each request

reduces 100ms latency per call with caching enabled on router

* fix: fix test

* fix(cooldown_cache.py): handle if a result is None

* fix(cooldown_cache.py): add debug statements

* refactor(dual_cache.py): move to using an in-memory check for batch get cache, to prevent redis from being hit for every call

* fix(cooldown_cache.py): fix linting erropr

* refactor(prometheus.py): move to using standard logging payload for reading the remaining request / tokens

Ensures prometheus token tracking works for anthropic as well

* fix: fix linting error

* fix(redis_cache.py): make sure ttl is always int (handle float values)

Fixes issue where redis_client.ex was not working correctly due to float ttl

* fix: fix linting error

* test: update test

* fix: fix linting error

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Xingyao Wang <xingyao@all-hands.dev>
Co-authored-by: vibhanshu-ob <115142120+vibhanshu-ob@users.noreply.github.com>
2024-10-29 22:04:16 -07:00
Krish Dholakia c04c4a82f1 feat(litellm_logging.py): refactor standard_logging_payload function … (#6388)
* feat(litellm_logging.py): refactor standard_logging_payload function to be <50 LOC

fixes issue where usage information was not following typed values

* fix(litellm_logging.py): fix completion start time handling
2024-10-24 18:59:01 -07:00
Ishaan Jaff 400cbff9ba Revert "(fix) standard logging metadata + add unit testing (#6366)" (#6381)
This reverts commit 8359cb6fa9.
2024-10-22 23:20:01 +05:30
Ishaan Jaff 8359cb6fa9 (fix) standard logging metadata + add unit testing (#6366)
* fix setting StandardLoggingMetadata

* add unit testing for standard logging metadata

* fix otel logging test

* fix linting

* fix typing
2024-10-22 19:13:19 +05:30