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760328b6ad
* test: add new test image embedding to base llm unit tests Addresses https://github.com/BerriAI/litellm/issues/6515 * fix(bedrock/embed/multimodal-embeddings): strip data prefix from image urls for bedrock multimodal embeddings Fix https://github.com/BerriAI/litellm/issues/6515 * feat: initial commit for fireworks ai audio transcription support Relevant issue: https://github.com/BerriAI/litellm/issues/7134 * test: initial fireworks ai test * feat(fireworks_ai/): implemented fireworks ai audio transcription config * fix(utils.py): register fireworks ai audio transcription config, in config manager * fix(utils.py): add fireworks ai param translation to 'get_optional_params_transcription' * refactor(fireworks_ai/): define text completion route with model name handling moves model name handling to specific fireworks routes, as required by their api * refactor(fireworks_ai/chat): define transform_Request - allows fixing model if accounts/ is missing * fix: fix linting errors * fix: fix linting errors * fix: fix linting errors * fix: fix linting errors * fix(handler.py): fix linting errors * fix(main.py): fix tgai text completion route * refactor(together_ai/completion): refactors together ai text completion route to just use provider transform request * refactor: move test_fine_tuning_api out of local_testing reduces local testing ci/cd time |
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|---|---|---|
| .. | ||
| audio_utils | ||
| llm_cost_calc | ||
| llm_response_utils | ||
| prompt_templates | ||
| tokenizers | ||
| asyncify.py | ||
| core_helpers.py | ||
| default_encoding.py | ||
| duration_parser.py | ||
| exception_mapping_utils.py | ||
| get_llm_provider_logic.py | ||
| get_supported_openai_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"