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litellm-mirror/litellm/litellm_core_utils
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Ishaan Jaff 00c596a852
(Feat) - Allow viewing Request/Response Logs stored in GCS Bucket (#8449) 
* BaseRequestResponseFetchFromCustomLogger

* get_active_base_request_response_fetch_from_custom_logger

* get_request_response_payload

* ui_view_request_response_for_request_id

* fix uiSpendLogDetailsCall

* fix get_request_response_payload

* ui fix RequestViewer

* use 1 class AdditionalLoggingUtils

* ui_view_request_response_for_request_id

* cache the prefetch logs details

* refactor prefetch

* test view request/resp logs

* fix code quality

* fix get_request_response_payload

* uninstall posthog
prevent it from being added in ci/cd

* fix posthog

* fix traceloop test

* fix linting error
2025-02-10 20:38:55 -08:00
..
audio_utils (Refactor) - Re use litellm.completion/litellm.embedding etc for health checks (#7455) 2024-12-28 18:38:54 -08:00
llm_cost_calc LiteLLM Minor Fixes & Improvements (12/23/2024) - p3 (#7394) 2024-12-23 22:02:52 -08:00
llm_response_utils Handle azure deepseek reasoning response (#8288) (#8366) 2025-02-07 17:45:51 -08:00
prompt_templates Anthropic Citations API Support (#8382) 2025-02-07 22:27:01 -08:00
specialty_caches Fix team-based logging to langfuse + allow custom tokenizer on /token_counter endpoint (#7493) 2024-12-31 23:18:41 -08:00
tokenizers Code Quality Improvement - remove tokenizers/ from /llms (#7163) 2024-12-10 23:50:15 -08:00
asyncify.py (core sdk fix) - fix fallbacks stuck in infinite loop (#7751) 2025-01-13 19:34:34 -08:00
core_helpers.py fix unused imports 2025-01-02 22:28:22 -08:00
default_encoding.py Code Quality Improvement - remove tokenizers/ from /llms (#7163) 2024-12-10 23:50:15 -08:00
dot_notation_indexing.py feat(handle_jwt.py): initial commit adding custom RBAC support on jwt… (#8037) 2025-01-28 16:27:06 -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 Easier user onboarding via SSO (#8187) 2025-02-02 23:02:33 -08:00
fallback_utils.py LiteLLM Minor Fixes & Improvements (2024/16/01) (#7826) 2025-01-17 20:59:21 -08:00
get_litellm_params.py Ensure base_model cost tracking works across all endpoints (#7989) 2025-01-24 21:05:26 -08:00
get_llm_provider_logic.py Fix deepseek calling - refactor to use base_llm_http_handler (#8266) 2025-02-04 22:30:00 -08:00
get_model_cost_map.py Doc updates + management endpoint fixes (#8138) 2025-01-30 22:56:41 -08:00
get_supported_openai_params.py Improved O3 + Azure O3 support (#8181) 2025-02-01 09:52:28 -08:00
health_check_utils.py (Refactor) - Re use litellm.completion/litellm.embedding etc for health checks (#7455) 2024-12-28 18:38:54 -08:00
initialize_dynamic_callback_params.py Fix team-based logging to langfuse + allow custom tokenizer on /token_counter endpoint (#7493) 2024-12-31 23:18:41 -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 (Bug Fix - Langfuse) - fix for when model response has choices=[] (#8339) 2025-02-06 18:02:26 -08:00
llm_request_utils.py Revert "test_completion_mistral_api_mistral_large_function_call" 2025-01-17 07:20:46 -08:00
logging_callback_manager.py (Feat) - Allow viewing Request/Response Logs stored in GCS Bucket (#8449) 2025-02-10 20:38:55 -08:00
logging_utils.py Add datadog health check support + fix bedrock converse cost tracking w/ region name specified (#7958) 2025-01-23 22:17:09 -08:00
mock_functions.py Ensure base_model cost tracking works across all endpoints (#7989) 2025-01-24 21:05:26 -08:00
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 (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -08:00
redact_messages.py Litellm staging (#8270) 2025-02-04 22:35:48 -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
sensitive_data_masker.py Litellm dev 02 07 2025 p2 (#8377) 2025-02-07 17:30:38 -08:00
streaming_chunk_builder_utils.py LiteLLM Minor Fixes & Improvements (01/08/2025) - p2 (#7643) 2025-01-08 19:45:19 -08:00
streaming_handler.py Anthropic Citations API Support (#8382) 2025-02-07 22:27:01 -08:00
thread_pool_executor.py (Fixes) OpenAI Streaming Token Counting + Fixes usage track when litellm.turn_off_message_logging=True (#8156) 2025-01-31 15:06:37 -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"