* fix(common_utils.py): handle $id in response schema when calling vertex ai
Fixes issue where `$id` present in response_schema was not accepted by vertex ai
* test(test_vertex.py): add unit test to ensure $id stripped out of vertex schema
* 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 30e5308cb3.
* fix getAuthToken
* update setAuthToken
* fix ui session handling
* fix ui session handler
* 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 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 7f345df477.
* Revert "feature flag error logs"
This reverts commit 0e90c022bb.
* 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 - use common team dropdown component
* re-use team component
* rename org field on add model
* handle add model submit
* working view model_id and team_id on root models page
* cleaner
* show all fields
* working model info view
* working team info selector
* clean up team id
* new component for model dashboard
* ui show table with dropdown
* make public model names like email
* revert changes to litellm model name
* fix litellm model name
* ui fix public model
* fix mappings
* fix conditional text input
* fix message
* ui fix bulk add models
* _add_team_model_to_db
* move model mgmt helper funcs
* test_add_team_model_to_db
* ui - display model team model name
* fix add model tab
* fix remove redundant info tab on models page
* dont pass model mappings all the way through
* fix jarring model name when adding team models
* fix edit model button
* delete button on model info
* ui fix model dashboard
* fix DeploymentTypedDict
* _is_model_access_group_for_wildcard_route
* test _get_public_model_name
* ui fix viewing public model name
* fix linting error
* fix linting errors
* fix selectedModel logic
* fix(key_management_endpoints.py): initial commit with logic to get all keys for teams user is an admin for
* fix(key_managements_endpoints.py): return all keys for teams user is an admin for
* fix(key_management_endpoints.py): add query param to ensure user opts into seeing all team keys (not just their own)
* fix(regenerate_key_modal.tsx): fix key regenerate
* fix(proxy_server.py): fix model metrics check on none api base
* test(test_key_generate_prisma.py): remove redundant test
* test(test_proxy_utils.py): add unit test covering new management endpoint helper util
* fix: fix test
* test(test_proxy_server.py): fix test
* use class ResetBudgetJob
* refactor reset budget job
* update reset_budget job
* refactor reset budget job
* fix LiteLLM_UserTable
* refactor reset budget job
* add telemetry for reset budget job
* dd - log service success/failure on DD
* add detailed reset budget reset info on DD
* initialize_scheduled_background_jobs
* refactor reset budget job
* trigger service failure hook when fails to reset a budget for team, key, user
* fix resetBudgetJob
* unit testing for ResetBudgetJob
* test_duration_in_seconds_basic
* testing for triggering service logging
* fix logs on test teams fail
* remove unused imports
* fix import duration in s
* duration_in_seconds
* fix(parallel_request_limiter.py): add back parallel request information to max parallel request limiter
Resolves https://github.com/BerriAI/litellm/issues/8392
* test: mark flaky test to handle time based tracking issues
* feat(model_management_endpoints.py): expose new patch `/model/{model_id}/update` endpoint
Allows updating specific values of a model in db - makes it easy for admin to know this by calling it a PA
TCH
* feat(edit_model_modal.tsx): allow user to update llm provider + api key on the ui
* fix: fix linting error
* remove code block upserting master key hash to db
* run test to check if key upserted into db
* run ci/cd again
* litellm_proxy_security_tests
* litellm_proxy_security_tests
* run prisma entrypoint
* ci/cd run again
* fix test master key not in db
* feat(proxy/_types.py): add new jwt field params
allows users + services to auth into proxy
* feat(handle_jwt.py): allow team role proxy access
allows proxy admin to set allowed team roles
* fix(proxy/_types.py): add 'routes' to role based permissions
allow proxy admin to restrict what routes a team can access easily
* feat(handle_jwt.py): support more flexible role based route access
v2 on role based 'allowed_routes'
* test(test_jwt.py): add unit test for rbac for proxy routes
* feat(handle_jwt.py): ensure cost tracking always works for any jwt request with `enforce_rbac=True`
* docs(token_auth.md): add documentation on controlling model access via OIDC Roles
* test: increase time delay before retrying
* test: handle model overloaded for test
* fix _decrypt_and_set_db_env_variables
* fix proxy config
* test callbacks in DB
* test langfuse callbacks in db
* test_e2e_langfuse_callbacks_in_db
* proxy_store_model_in_db_tests
* fix proxy_store_model_in_db_tests
* proxy_store_model_in_db_tests
* fix store_model_db_config.yaml
* fix check_langfuse_request
* fix test langfuse base url
* ci/cd run again
* refactor _add_callbacks_from_db_config
* fix check for _custom_logger_exists_in_litellm_callbacks
* move loc of test utils
* run ci/cd again
* test_add_custom_logger_callback_to_specific_event_with_duplicates_callbacks
* fix _custom_logger_class_exists_in_success_callbacks
* unit testing for test_add_callbacks_from_db_config
* test_custom_logger_exists_in_callbacks_individual_functions
* fix config.yml
* fix test test_stream_chunk_builder_openai_audio_output_usage - use direct dict comparison
* fix message.error
* fix add return_wildcard_routes
* ui edit modelAvailableCall
* fetchAvailableModelsForTeamOrKey
* ui set all models for a team
* ui define common helpers
* edit create key button
* fix viewing model display names
* fix editing team models
* update gitignore
* add jest testing for ui
* Revert "add jest testing for ui"
This reverts commit 98f9a3ebfd.
* fix(http_handler.py): support passing ssl verify dynamically and using the correct httpx client based on passed ssl verify param
Fixes https://github.com/BerriAI/litellm/issues/6499
* feat(llm_http_handler.py): support passing `ssl_verify=False` dynamically in call args
Closes https://github.com/BerriAI/litellm/issues/6499
* fix(proxy/utils.py): prevent bad logs from breaking all cost tracking + reset list regardless of success/failure
prevents malformed logs from causing all spend tracking to break since they're constantly retried
* test(test_proxy_utils.py): add test to ensure bad log is dropped
* test(test_proxy_utils.py): ensure in-memory spend logs reset after bad log error
* test(test_user_api_key_auth.py): add unit test to ensure end user id as str works
* fix(auth_utils.py): ensure extracted end user id is always a str
prevents db cost tracking errors
* test(test_auth_utils.py): ensure get end user id from request body always returns a string
* test: update tests
* test: skip bedrock test- behaviour now supported
* test: fix testing
* refactor(spend_tracking_utils.py): reduce size of get_logging_payload
* test: fix test
* bump: version 1.59.4 → 1.59.5
* Revert "bump: version 1.59.4 → 1.59.5"
This reverts commit 1182b46b2e.
* fix(utils.py): fix spend logs retry logic
* fix(spend_tracking_utils.py): fix get tags
* fix(spend_tracking_utils.py): fix end user id spend tracking on pass-through endpoints
* feat(router.py): add retry headers to response
makes it easy to add testing to ensure model-specific retries are respected
* fix(add_retry_headers.py): clarify attempted retries vs. max retries
* test(test_fallbacks.py): add test for checking if max retries set for model is respected
* test(test_fallbacks.py): assert values for attempted retries and max retries are as expected
* fix(utils.py): return timeout in litellm proxy response headers
* test(test_fallbacks.py): add test to assert model specific timeout used on timeout error
* test: add bad model with timeout to proxy
* fix: fix linting error
* fix(router.py): fix get model list from model alias
* test: loosen test restriction - account for other events on proxy
* fix(utils.py): don't pass 'anthropic-beta' header to vertex - will cause request to fail
* fix(utils.py): add flag to allow user to disable filtering invalid headers
ensure user can control behaviour
* style(utils.py): cleanup message
* test(test_utils.py): add unit test to cover invalid header filtering
* fix(proxy_server.py): fix custom openapi schema generation
* fix(utils.py): pass extra headers if set
* fix(main.py): fix image variation to use 'client' param
* fix(proxy_server.py): fix get model info when litellm_model_id is set
Fixes https://github.com/BerriAI/litellm/issues/7873
* test(test_models.py): add test to ensure get model info on specific deployment has same value as all model info
Fixes https://github.com/BerriAI/litellm/issues/7873
* fix(usage.tsx): make model analytics free
Fixes @iqballx's feedback
* fix(fix(invoke_handler.py):-fix-bedrock-error-chunk-parsing): return correct bedrock status code and error message if chunk in stream
Improves bedrock stream error handling
* fix(proxy_server.py): fix linting errors
* test(test_auth_checks.py): remove redundant test
* fix(proxy_server.py): fix linting errors
* test: fix flaky test
* test: fix test
* fix(gemini/): support gemini 'frequency_penalty' and 'presence_penalty'
Closes https://github.com/BerriAI/litellm/issues/7748
* feat(proxy_server.py): new env var to disable prisma health check on startup
* test: fix test
* fix(gpt_transformation.py): fix response_format translation check for 4o models
Fixes https://github.com/BerriAI/litellm/issues/7616
* feat(key_management_endpoints.py): support 'temp_budget_increase' and 'temp_budget_expiry' fields
Allow proxy admin to grant temporary budget increases to keys
* fix(proxy/_types.py): enforce temp_budget_increase and temp_budget_expiry are always passed together
* feat(user_api_key_auth.py): initial working temp budget increase logic
ensures key budget exceeded error checks for temp budget in key metadata
* feat(proxy_server.py): return the key max budget and key spend in the response headers
Allows clientside user to know their remaining limits
* test: add unit testing for new proxy utils
Ensures new key budget is correctly handled
* docs(temporary_budget_increase.md): add doc on temporary budget increase
* fix(utils.py): remove 3.5 from response_format check for now
not all azure 3.5 models support response_format
* fix(user_api_key_auth.py): return valid user api key auth object on all paths
* build(model_prices_and_context_window.json): add azure o1 pricing
Closes https://github.com/BerriAI/litellm/issues/7712
* refactor: replace regex with string method for whitespace check in stop-sequences handling (#7713)
* Allows overriding keep_alive time in ollama (#7079)
* Allows overriding keep_alive time in ollama
* Also adds to ollama_chat
* Adds some info on the docs about this parameter
* fix: together ai warning (#7688)
Co-authored-by: Carl Senze <carl.senze@aleph-alpha.com>
* fix(proxy_server.py): handle config containing thread locked objects when using get_config_state
* fix(proxy_server.py): add exception to debug
* build(model_prices_and_context_window.json): update 'supports_vision' for azure o1
---------
Co-authored-by: Wolfram Ravenwolf <52386626+WolframRavenwolf@users.noreply.github.com>
Co-authored-by: Regis David Souza Mesquita <github@rdsm.dev>
Co-authored-by: Carl <45709281+capsenz@users.noreply.github.com>
Co-authored-by: Carl Senze <carl.senze@aleph-alpha.com>
* fix(vertex_ai/gemini/transformation.py): handle 'http://' in gemini process url
* refactor(router.py): refactor '_prompt_management_factory' to use logging obj get_chat_completion logic
deduplicates code
* fix(litellm_logging.py): update 'get_chat_completion_prompt' to update logging object messages
* docs(prompt_management.md): update prompt management to be in beta
given feedback - this still needs to be revised (e.g. passing in user message, not ignoring)
* refactor(prompt_management_base.py): introduce base class for prompt management
allows consistent behaviour across prompt management integrations
* feat(prompt_management_base.py): support adding client message to template message + refactor langfuse prompt management to use prompt management base
* fix(litellm_logging.py): log prompt id + prompt variables to langfuse if set
allows tracking what prompt was used for what purpose
* feat(litellm_logging.py): log prompt management metadata in standard logging payload + use in langfuse
allows logging prompt id / prompt variables to langfuse
* test: fix test
* fix(router.py): cleanup unused imports
* fix: fix linting error
* fix: fix trace param typing
* fix: fix linting errors
* fix: fix code qa check
- Ensured that `before` and `after` parameters are only passed when provided to avoid AttributeError.
- Implemented safe access using default values for `before` and `after` to prevent missing attribute issues.
- Added consistent handling of `order` and `limit` to improve flexibility and robustness in API calls.
* fix(redact_messages.py): fix redact messages for non-model response input to be dictionary
fixes issue with otel logging when message redaction is enabled
* fix(proxy_server.py): fix langfuse key leak in exception string
* test: fix test
* test: fix test
* test: fix tests
* fix(internal_user_endpoints.py): fix team list sort - handle team_alias being set + None
* fix(key_management_endpoints.py): allow team admin to create key for member via admin ui
Fixes https://github.com/BerriAI/litellm/issues/7482
* fix(proxy_server.py): allow querying info on specific model group via `/model_group/info`
allows client-side user to get model info from proxy
* fix(proxy_server.py): add docstring on `/model_group/info` showing how to filter by model name
* test(test_proxy_utils.py): add unit test for returning model group info filtered
* fix(proxy_server.py): fix query param
* fix(test_Get_model_info.py): handle no whitelisted bedrock modells
* fix(langfuse_prompt_management.py): migrate dynamic logging to langfuse custom logger compatible class
* fix(langfuse_prompt_management.py): support failure callback logging to langfuse as well
* feat(proxy_server.py): support setting custom tokenizer on config.yaml
Allows customizing value for `/utils/token_counter`
* fix(proxy_server.py): fix linting errors
* test: skip if file not found
* style: cleanup unused import
* docs(configs.md): add docs on setting custom tokenizer
* feat(proxy/utils.py): get associated litellm budget from db in combined_view for key
allows user to create rate limit tiers and associate those to keys
* feat(proxy/_types.py): update the value of key-level tpm/rpm/model max budget metrics with the associated budget table values if set
allows rate limit tiers to be easily applied to keys
* docs(rate_limit_tiers.md): add doc on setting rate limit / budget tiers
make feature discoverable
* feat(key_management_endpoints.py): return litellm_budget_table value in key generate
make it easy for user to know associated budget on key creation
* fix(key_management_endpoints.py): document 'budget_id' param in `/key/generate`
* docs(key_management_endpoints.py): document budget_id usage
* refactor(budget_management_endpoints.py): refactor budget endpoints into separate file - makes it easier to run documentation testing against it
* docs(test_api_docs.py): add budget endpoints to ci/cd doc test + add missing param info to docs
* fix(customer_endpoints.py): use new pydantic obj name
* docs(user_management_heirarchy.md): add simple doc explaining teams/keys/org/users on litellm
* Litellm dev 12 26 2024 p2 (#7432)
* (Feat) Add logging for `POST v1/fine_tuning/jobs` (#7426)
* init commit ft jobs logging
* add ft logging
* add logging for FineTuningJob
* simple FT Job create test
* (docs) - show all supported Azure OpenAI endpoints in overview (#7428)
* azure batches
* update doc
* docs azure endpoints
* docs endpoints on azure
* docs azure batches api
* docs azure batches api
* fix(key_management_endpoints.py): fix key update to actually work
* test(test_key_management.py): add e2e test asserting ui key update call works
* fix: proxy/_types - fix linting erros
* test: update test
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* fix: test
* fix(parallel_request_limiter.py): enforce tpm/rpm limits on key from tiers
* fix: fix linting errors
* test: fix test
* fix: remove unused import
* test: update test
* docs(customer_endpoints.py): document new model_max_budget param
* test: specify unique key alias
* docs(budget_management_endpoints.py): document new model_max_budget param
* test: fix test
* test: fix tests
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* fix(utils.py): default custom_llm_provider=None for 'supports_response_schema'
Closes https://github.com/BerriAI/litellm/issues/7397
* refactor(langfuse/): call langfuse logger inside customlogger compatible langfuse class, refactor langfuse logger to use verbose_logger.debug instead of print_verbose
* refactor(litellm_pre_call_utils.py): move config based team callbacks inside dynamic team callback logic
enables simpler unit testing for config-based team callbacks
* fix(proxy/_types.py): handle teamcallbackmetadata - none values
drop none values if present. if all none, use default dict to avoid downstream errors
* test(test_proxy_utils.py): add unit test preventing future issues - asserts team_id in config state not popped off across calls
Fixes https://github.com/BerriAI/litellm/issues/6787
* fix(langfuse_prompt_management.py): add success + failure logging event support
* fix: fix linting error
* test: fix test
* test: fix test
* test: override o1 prompt caching - openai currently not working
* test: fix test
* feat(guardrails_endpoint.py): new `/guardrails/list` endpoint
Allow users to view what the available guardrails are
* docs: document new `/guardrails/list` endpoint
* docs(enterprise.md): update docs
* fix(openai/transcription/handler.py): support cost tracking on vtt + srt formats
* fix(openai/transcriptions/handler.py): default to 'verbose_json' response format if 'text' or 'json' response_format received. ensures 'duration' param is received for all audio transcription requests
* fix: fix linting errors
* fix: remove unused import
