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169171268f
* feat(handle_jwt.py): initial commit adding custom RBAC support on jwt auth allows admin to define user role field and allowed roles which map to 'internal_user' on litellm * fix(auth_checks.py): ensure user allowed to access model, when calling via personal keys Fixes https://github.com/BerriAI/litellm/issues/8029 * feat(handle_jwt.py): support role based access with model permission control on proxy Allows admin to just grant users roles on IDP (e.g. Azure AD/Keycloak) and user can immediately start calling models * docs(rbac): add docs on rbac for model access control make it clear how admin can use roles to control model access on proxy * fix: fix linting errors * test(test_user_api_key_auth.py): add unit testing to ensure rbac role is correctly enforced * test(test_user_api_key_auth.py): add more testing * test(test_users.py): add unit testing to ensure user model access is always checked for new keys Resolves https://github.com/BerriAI/litellm/issues/8029 * test: fix unit test * fix(dot_notation_indexing.py): fix typing to work with python 3.8 |
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| .. | ||
| audio_utils | ||
| llm_cost_calc | ||
| llm_response_utils | ||
| prompt_templates | ||
| specialty_caches | ||
| tokenizers | ||
| asyncify.py | ||
| core_helpers.py | ||
| default_encoding.py | ||
| dot_notation_indexing.py | ||
| duration_parser.py | ||
| exception_mapping_utils.py | ||
| fallback_utils.py | ||
| get_litellm_params.py | ||
| get_llm_provider_logic.py | ||
| get_supported_openai_params.py | ||
| health_check_utils.py | ||
| initialize_dynamic_callback_params.py | ||
| json_validation_rule.py | ||
| litellm_logging.py | ||
| llm_request_utils.py | ||
| logging_utils.py | ||
| mock_functions.py | ||
| README.md | ||
| realtime_streaming.py | ||
| redact_messages.py | ||
| response_header_helpers.py | ||
| rules.py | ||
| streaming_chunk_builder_utils.py | ||
| streaming_handler.py | ||
| token_counter.py | ||
Folder Contents
This folder contains general-purpose utilities that are used in multiple places in the codebase.
Core files:
streaming_handler.py: The core streaming logic + streaming related helper utilscore_helpers.py: code used intypes/- e.g.map_finish_reason.exception_mapping_utils.py: utils for mapping exceptions to openai-compatible error types.default_encoding.py: code for loading the default encoding (tiktoken)get_llm_provider_logic.py: code for inferring the LLM provider from a given model name.duration_parser.py: code for parsing durations - e.g. "1d", "1mo", "10s"