* fix(route_llm_request.py): move to using common router, even for client-side credentials
ensures fallbacks / cooldown logic still works
* test(test_route_llm_request.py): add unit test for route request
* feat(router.py): generate unique model id when clientside credential passed in
Prevents cooldowns for api key 1 from impacting api key 2
* test(test_router.py): update testing to ensure original litellm params not mutated
* fix(router.py): upsert clientside call into llm router model list
enables cooldown logic to work accurately
* fix: fix linting error
* test(test_router_utils.py): add direct test for new util on router
* add cookieUtils
* use utils for clearing cookies
* on logout use clearTokenCookies
* ui use correct clearTokenCookies
* navbar show userEmail on UserID page
* add timestamp on token cookie
* update generate_authenticated_redirect_response
* use common getAuthToken
* fix clearTokenCookies
* fixes for get auth token
* fix invitation link sign in logic
* Revert "fix invitation link sign in logic"
This reverts commit 30e5308cb3223981c715e723cdd3a6d2ee3aaa4b.
* fix getAuthToken
* update setAuthToken
* fix ui session handling
* fix ui session handler
* add cookieUtils
* use utils for clearing cookies
* on logout use clearTokenCookies
* ui use correct clearTokenCookies
* navbar show userEmail on UserID page
* fix(streaming_handler.py): fix deepseek reasoning content streaming
Fixes https://github.com/BerriAI/litellm/issues/8939
* test(test_streaming_handler.py): add unit test to streaming handle 'is_chunk_non_empty' function
ensures 'reasoning_content' is handled correctly
PostgreSQL treats unquoted identifiers as lowercase by default. In our query, we're using "DailyTagSpend" (with capital letters), but PostgreSQL will be looking for "dailytagspend" (all lowercase).
* fix(proxy_server.py): fix setting router redis cache, if cache enabled on litellm_settings
enables configurations like namespace to just work
* fix(redis_cache.py): fix key for async increment, to use the set namespace
prevents collisions if redis instance shared across environments
* fix load tests on litellm release notes
* fix caching on main branch (#8858)
* fix(streaming_handler.py): fix is delta empty check to handle empty str
* fix(streaming_handler.py): fix delta chunk on final response
* [Bug]: Deepseek error on proxy after upgrading to 1.61.13-stable (#8860)
* fix deepseek error
* test_deepseek_provider_async_completion
* fix get_complete_url
* bump: version 1.61.17 → 1.61.18
* bump: version 1.61.18 → 1.61.19
* vertex ai anthropic thinking param support (#8853)
* fix(vertex_llm_base.py): handle credentials passed in as dictionary
* fix(router.py): support vertex credentials as json dict
* test(test_vertex.py): allows easier testing
mock anthropic thinking response for vertex ai
* test(vertex_ai_partner_models/): don't remove "@" from model
breaks anthropic cost calculation
* test: move testing
* fix: fix linting error
* fix: fix linting error
* fix(vertex_ai_partner_models/main.py): split @ for codestral model
* test: fix test
* fix: fix stripping "@" on mistral models
* fix: fix test
* test: fix test
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* fix(prometheus.py): fix prometheus team metric to handle custom metrics
* fix(prometheus.py): fix prometheus metrics to handle custom metadata + team id
* fix(gpt_transformation.py): handle image url being sent as str to openai
* fix: fix unit testing
* fix(o_series_transformation.py): support passing image url as string for o models as well
* (UI) Error Logs improvements - Store Raw proxy server request for success and failure (#8917)
* ui render error logs
* add proxy_server_request to spend logs metadata
* _add_proxy_server_request_to_metadata
* proxy track cost callback fixes
* _add_proxy_server_request_to_metadata
* test spend logs
* test_async_post_call_failure_hook
* (UI) - Allow Internal Users to View their own logs (#8933)
* ui fix leftnav, allow internal users to view their own logs
* pass user_id in uiSpendLogs call
* ui filter logs for internal user
* fix internal users page
* ui show correct message when store prompts is disabled
* fix internal user logs
* test_ui_view_spend_logs_with_user_id
* test spend management endpoint
* ui new build
* Add `supports_pdf_input: true` for specific Bedrock Claude models (#8655)
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Takashi Iwamoto <takashi.iwamoto@enechange.co.jp>
* ui fix leftnav, allow internal users to view their own logs
* pass user_id in uiSpendLogs call
* ui filter logs for internal user
* fix internal users page
* ui show correct message when store prompts is disabled
* fix internal user logs
* test_ui_view_spend_logs_with_user_id
* test spend management endpoint
* fix(create_user_button.tsx): allow admin to set models user has access to, on invite
Enables controlling model access on invite
* feat(auth_checks.py): enforce 'no-model-access' special model name on backend
prevent user from calling models if default key has no model access
* fix(chat_ui.tsx): allow user to input custom model
* fix(chat_ui.tsx): pull available models based on models key has access to
* style(create_user_button.tsx): move default model inside 'personal key creation' accordion
* fix(chat_ui.tsx): fix linting error
* test(test_auth_checks.py): add unit-test for special model name
* docs(internal_user_endpoints.py): update docstring
* fix test_moderations_bad_model
* Litellm dev 02 27 2025 p6 (#8891)
* fix(http_parsing_utils.py): orjson can throw errors on some emoji's in text, default to json.loads
* fix(sagemaker/handler.py): support passing model id on async streaming
* fix(litellm_pre_call_utils.py): Fixes https://github.com/BerriAI/litellm/issues/7237
* Fix calling claude via invoke route + response_format support for claude on invoke route (#8908)
* fix(anthropic_claude3_transformation.py): fix amazon anthropic claude 3 tool calling transformation on invoke route
move to using anthropic config as base
* fix(utils.py): expose anthropic config via providerconfigmanager
* fix(llm_http_handler.py): support json mode on async completion calls
* fix(invoke_handler/make_call): support json mode for anthropic called via bedrock invoke
* fix(anthropic/): handle 'response_format: {"type": "text"}` + migrate amazon claude 3 invoke config to inherit from anthropic config
Prevents error when passing in 'response_format: {"type": "text"}
* test: fix test
* fix(utils.py): fix base invoke provider check
* fix(anthropic_claude3_transformation.py): don't pass 'stream' param
* fix: fix linting errors
* fix(converse_transformation.py): handle response_format type=text for converse
* converse_transformation: pass 'description' if set in response_format (#8907)
* test(test_bedrock_completion.py): e2e test ensuring tool description is passed in
* fix(converse_transformation.py): pass description, if set
* fix(transformation.py): Fixes https://github.com/BerriAI/litellm/issues/8767#issuecomment-2689887663
* Fix bedrock passing `response_format: {"type": "text"}` (#8900)
* fix(converse_transformation.py): ignore type: text, value in response_format
no-op for bedrock
* fix(converse_transformation.py): handle adding response format value to tools
* fix(base_invoke_transformation.py): fix 'get_bedrock_invoke_provider' to handle cross-region-inferencing models
* test(test_bedrock_completion.py): add unit testing for bedrock invoke provider logic
* test: update test
* fix(exception_mapping_utils.py): add context window exceeded error handling for databricks provider route
* fix(fireworks_ai/): support passing tools + response_format together
* fix: cleanup
* fix(base_invoke_transformation.py): fix imports
* (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>
* ui new build
* test_chat_completion_bad_model_with_spend_logs
* docs(release_cycle.md): document release cycle
* bump: version 1.62.0 → 1.62.1
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* 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>
* fix(anthropic_claude3_transformation.py): fix amazon anthropic claude 3 tool calling transformation on invoke route
move to using anthropic config as base
* fix(utils.py): expose anthropic config via providerconfigmanager
* fix(llm_http_handler.py): support json mode on async completion calls
* fix(invoke_handler/make_call): support json mode for anthropic called via bedrock invoke
* fix(anthropic/): handle 'response_format: {"type": "text"}` + migrate amazon claude 3 invoke config to inherit from anthropic config
Prevents error when passing in 'response_format: {"type": "text"}
* test: fix test
* fix(utils.py): fix base invoke provider check
* fix(anthropic_claude3_transformation.py): don't pass 'stream' param
* fix: fix linting errors
* fix(converse_transformation.py): handle response_format type=text for converse
* fix(http_parsing_utils.py): orjson can throw errors on some emoji's in text, default to json.loads
* fix(sagemaker/handler.py): support passing model id on async streaming
* fix(litellm_pre_call_utils.py): Fixes https://github.com/BerriAI/litellm/issues/7237
* refactor(internal_user_endpoints.py): refactor `/user/list` to accept 'user_ids' and use prisma for db calls
enables bulk search from UI
* fix(internal_user_endpoints.py): fix linting errors
* fix(all_keys_table.tsx): show user email on create key table
make it easier for admin to know which key is associated to which user
* docs(internal_user_endpoints.py): improve docstring
* fix: sync schema with main
* fix(columns.tsx): display SSO ID on Internal User Table
make it easy to identify what the SSO ID for a user is
* fix(columns.tsx): add tooltip to header
help user understand what SSO ID means
* style: add more tooltips in the management flows
make it easier to understand what you're seeing
* style(all_keys_table.tsx): replace 'Not Set' with '-'
reduces words on table
* fix(internal_user_endpoints.py): fix user ids check
* test: fix test
* fix(internal_user_endpoints.py): maintain returning key count in `/user/list`
* fix(user_api_key_auth.py): Fixes https://github.com/BerriAI/litellm/issues/8780
security fix - enforce model access checks on azure routes
* test(test_user_api_key_auth.py): add unit testing
* test(test_openai_endpoints.py): add e2e test to ensure azure routes also run through model validation checks
Krrish Dholakia