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* feat(databricks/chat/): add anthropic w/ reasoning content support via databricks Allows user to call claude-3-7-sonnet with thinking via databricks * refactor: refactor choices transformation + add unit testing * fix(databricks/chat/transformation.py): support thinking blocks on databricks response streaming * feat(databricks/chat/transformation.py): support response_format for claude models * fix(databricks/chat/transformation.py): correctly handle response_format={"type": "text"} * feat(databricks/chat/transformation.py): support 'reasoning_effort' param mapping for anthropic * fix: fix ruff errors * fix: fix linting error * test: update test * fix(databricks/chat/transformation.py): handle json mode output parsing * fix(databricks/chat/transformation.py): handle json mode on streaming * test: update test * test: update dbrx testing * test: update testing * fix(base_model_iterator.py): handle non-json chunk * test: update tests * fix: fix ruff check * fix: fix databricks config import * fix: handle _tool = none * test: skip invalid test |
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.. | ||
audio_utils | ||
llm_cost_calc | ||
llm_response_utils | ||
prompt_templates | ||
specialty_caches | ||
tokenizers | ||
asyncify.py | ||
core_helpers.py | ||
credential_accessor.py | ||
dd_tracing.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_model_cost_map.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_callback_manager.py | ||
logging_utils.py | ||
mock_functions.py | ||
model_param_helper.py | ||
README.md | ||
realtime_streaming.py | ||
redact_messages.py | ||
response_header_helpers.py | ||
rules.py | ||
safe_json_dumps.py | ||
sensitive_data_masker.py | ||
streaming_chunk_builder_utils.py | ||
streaming_handler.py | ||
thread_pool_executor.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"