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litellm-mirror/litellm/litellm_core_utils
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Krish Dholakia edbf5eeeb3 Litellm remove circular imports (#7232) 
* fix(utils.py): initial commit to remove circular imports - moves llmproviders to utils.py

* fix(router.py): fix 'litellm.EmbeddingResponse' import from router.py

'

* refactor: fix litellm.ModelResponse import on pass through endpoints

* refactor(litellm_logging.py): fix circular import for custom callbacks literal

* fix(factory.py): fix circular imports inside prompt factory

* fix(cost_calculator.py): fix circular import for 'litellm.Usage'

* fix(proxy_server.py): fix potential circular import with `litellm.Router'

* fix(proxy/utils.py): fix potential circular import in `litellm.Router`

* fix: remove circular imports in 'auth_checks' and 'guardrails/'

* fix(prompt_injection_detection.py): fix router impor t

* fix(vertex_passthrough_logging_handler.py): fix potential circular imports in vertex pass through

* fix(anthropic_pass_through_logging_handler.py): fix potential circular imports

* fix(slack_alerting.py-+-ollama_chat.py): fix modelresponse import

* fix(base.py): fix potential circular import

* fix(handler.py): fix potential circular ref in codestral + cohere handler's

* fix(azure.py): fix potential circular imports

* fix(gpt_transformation.py): fix modelresponse import

* fix(litellm_logging.py): add logging base class - simplify typing

makes it easy for other files to type check the logging obj without introducing circular imports

* fix(azure_ai/embed): fix potential circular import on handler.py

* fix(databricks/): fix potential circular imports in databricks/

* fix(vertex_ai/): fix potential circular imports on vertex ai embeddings

* fix(vertex_ai/image_gen): fix import

* fix(watsonx-+-bedrock): cleanup imports

* refactor(anthropic-pass-through-+-petals): cleanup imports

* refactor(huggingface/): cleanup imports

* fix(ollama-+-clarifai): cleanup circular imports

* fix(openai_like/): fix impor t

* fix(openai_like/): fix embedding handler

cleanup imports

* refactor(openai.py): cleanup imports

* fix(sagemaker/transformation.py): fix import

* ci(config.yml): add circular import test to ci/cd
2024-12-14 16:28:34 -08:00
..
audio_utils fix import error 2024-09-05 10:09:44 -07:00
llm_cost_calc LiteLLM Minor Fixes & Improvements (10/09/2024) (#6139) 2024-10-10 00:42:11 -07:00
llm_response_utils (fix) litellm.text_completion raises a non-blocking error on simple usage (#6546) 2024-11-04 15:47:48 -08:00
prompt_templates Litellm remove circular imports (#7232) 2024-12-14 16:28:34 -08:00
tokenizers Code Quality Improvement - remove tokenizers/ from /llms (#7163) 2024-12-10 23:50:15 -08:00
asyncify.py build(config.yml): bump anyio version 2024-08-27 07:37:06 -07:00
core_helpers.py Litellm dev 11 07 2024 (#6649) 2024-11-08 19:34:22 +05:30
default_encoding.py Code Quality Improvement - remove tokenizers/ from /llms (#7163) 2024-12-10 23:50:15 -08:00
duration_parser.py (QOL improvement) Provider budget routing - allow using 1s, 1d, 1mo, 2mo etc (#6885) 2024-11-23 16:59:46 -08:00
exception_mapping_utils.py Litellm dev 12 13 2024 p1 (#7219) 2024-12-13 19:01:28 -08:00
get_llm_provider_logic.py Litellm merge pr (#7161) 2024-12-10 22:49:26 -08:00
get_supported_openai_params.py fix(get_supported_openai_params.py): cleanup (#7176) 2024-12-11 01:15:53 -08:00
json_validation_rule.py feat(vertex_ai_anthropic.py): support response_schema for vertex ai anthropic calls 2024-07-18 16:57:38 -07:00
litellm_logging.py Litellm remove circular imports (#7232) 2024-12-14 16:28:34 -08:00
llm_request_utils.py Litellm ruff linting enforcement (#5992) 2024-10-01 19:44:20 -04:00
logging_utils.py (refactor) use helper function _assemble_complete_response_from_streaming_chunks to assemble complete responses in caching and logging callbacks (#6220) 2024-10-15 12:45:12 +05:30
mock_functions.py test(router_code_coverage.py): check if all router functions are dire… (#6186) 2024-10-14 22:44:00 -07:00
README.md (QOL improvement) Provider budget routing - allow using 1s, 1d, 1mo, 2mo etc (#6885) 2024-11-23 16:59:46 -08:00
realtime_streaming.py Litellm dev 10 22 2024 (#6384) 2024-10-22 21:18:54 -07:00
redact_messages.py (feat) Allow enabling logging message / response for specific virtual keys (#7071) 2024-12-06 21:25:36 -08:00
response_header_helpers.py fix(utils.py): guarantee openai-compatible headers always exist in response 2024-09-28 21:08:15 -07:00
rules.py Litellm dev 11 07 2024 (#6649) 2024-11-08 19:34:22 +05:30
streaming_chunk_builder_utils.py LiteLLM Minor Fixes & Improvements (12/05/2024) (#7051) 2024-12-06 14:29:53 -08:00
streaming_handler.py (Refactor) Code Quality improvement - rename text_completion_codestral.py -> codestral/completion/ (#7172) 2024-12-11 00:55:47 -08:00
token_counter.py fix: Support WebP image format and avoid token calculation error (#7182) 2024-12-12 14:32:39 -08:00

README.md

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 utils
  • core_helpers.py: code used in types/ - 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"