* test: drop the cwd-relative sys.path.insert calls from the test suite
TQ003 stands at 1,077 across 1,058 files, and 1,015 of them are the same shape:
sys.path.insert(0, os.path.abspath("../..")) and its deeper siblings. The
argument resolves against the working directory rather than the file, so from
the repo root, where every job runs pytest, it inserts the directory two levels
above the checkout. It has never pointed at litellm. The package is installed
into the environment anyway, which is what actually makes the import work, and
what the rule's message has said all along.
Removing them leaves 1,634 imports of sys and os with no remaining reference,
and those go too, except where another test module imports the name back out of
the file. The rest of TQ003 is 62 call sites that resolve against __file__ or a
variable, which are a different question and are left alone.
Collection is identical either way: 45,871 tests and the same 51 pre-existing
collection errors before and after, and ruff reports no new undefined name.
* test: drop the duplicate imports the sys.path sweep exposed to F811
* test(pre-call-utils): restore the os import the new bedrock tests need
* fix(together_ai/chat): only return response_format + tools for supported models
Fixes https://github.com/BerriAI/litellm/issues/6972
* feat(bedrock/rerank): initial working commit for bedrock rerank api support
Closes https://github.com/BerriAI/litellm/issues/7021
* feat(bedrock/rerank): async bedrock rerank api support
Addresses https://github.com/BerriAI/litellm/issues/7021
* build(model_prices_and_context_window.json): add 'supports_prompt_caching' for bedrock models + cleanup cross-region from model list (duplicate information - lead to inconsistencies )
* docs(json_mode.md): clarify model support for json schema
Closes https://github.com/BerriAI/litellm/issues/6998
* fix(_service_logger.py): handle dd callback in list
ensure failed spend tracking is logged to datadog
* feat(converse_transformation.py): translate from anthropic format to bedrock format
Closes https://github.com/BerriAI/litellm/issues/7030
* fix: fix linting errors
* test: fix test
* docs(prompt_caching.md): add prompt caching cost calc example to docs
* docs(prompt_caching.md): add proxy examples to docs
* feat(utils.py): expose new helper `supports_prompt_caching()` to check if a model supports prompt caching
* docs(prompt_caching.md): add docs on checking model support for prompt caching
* build: fix invalid json
