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litellm-mirror/litellm/litellm_core_utils
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Krish Dholakia 94d28d59e4
Fix deepseek 'reasoning_content' error (#8963) 
* 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
2025-03-03 14:34:10 -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 Litellm dev bedrock anthropic 3 7 v2 (#8843) 2025-02-26 16:05:33 -08:00
prompt_templates Litellm dev bedrock anthropic 3 7 v2 (#8843) 2025-02-26 16:05:33 -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
dd_tracing.py (Bug fix) - don't log messages in model_parameters in StandardLoggingPayload (#8932) 2025-03-01 13:39:45 -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 (Bug Fix + Better Observability) - BudgetResetJob: (#8562) 2025-02-15 16:13:08 -08:00
exception_mapping_utils.py Fix bedrock passing response_format: {"type": "text"} (#8900) 2025-02-28 20:09:59 -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 build: merge squashed commit 2025-02-26 09:39:27 -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 fix(utils.py): fix vertex ai optional param handling (#8477) 2025-02-13 19:58:50 -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) - don't log messages in model_parameters in StandardLoggingPayload (#8932) 2025-03-01 13:39:45 -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
model_param_helper.py (Bug fix) - don't log messages in model_parameters in StandardLoggingPayload (#8932) 2025-03-01 13:39:45 -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
safe_json_dumps.py (Bug fix) - Cache Health not working when configured with prometheus service logger (#8687) 2025-02-20 13:41:56 -08:00
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 Fix deepseek 'reasoning_content' error (#8963) 2025-03-03 14:34:10 -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"