* feat: add _fix_enum_types function to remove enums from non-string fields in schema
* test: add test for _fix_enum_types function to validate enum removal from non-string fields
* fix(gemini): exclude image models from automatic thinking_level parameter (#17013)
- gemini-3-pro-image-preview does not support thinking_level parameter
- Added check to skip adding thinkingConfig for models containing "image"
- Fixes BadRequestError: "Thinking level is not supported for this model"
- Only affects automatic default behavior, user can still pass reasoning_effort explicitly
Fixes#17013
* test: add tests for gemini-3 image models thinking_level exclusion
* update docs
* propagate model id on errors too
* make it work for messages and streaming
* fix
* cleanup
* cleanup
* final
* cleanup
* clean up method name and fix responses api streaming
* remove comment
- Replace Logging type annotations with LiteLLMLoggingObj in main.py (lines 1157, 4097, 5811)
- Fixes NameError: name 'Logging' is not defined errors
- Maintains lazy loading benefits - Logging only loaded when accessed via litellm.Logging
- Add error handling to lazy import functions for better debugging
Adds null/empty check before processing contents in GoogleAIStudioTokenCounter
to prevent errors when contents is None or empty.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-authored-by: Claude <noreply@anthropic.com>
* add claude opus 4.5
* Apply suggestion from @Chesars
Co-authored-by: Cesar Garcia <128240629+Chesars@users.noreply.github.com>
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Co-authored-by: Cesar Garcia <128240629+Chesars@users.noreply.github.com>
* add prompt security guardrails provider
* cosmetic
* small
* add file sanitization and update context window
* add pdf and OOXML files support
* add system prompt support
* add tests and documentation
* remove print
* fix PLR0915 Too many statements (96 > 50)
* cosmetic
* fix mypy error
* Fix failed tests due to naming conflict of responses directory with same-named pip package
* Fix mypy error: use 'aembedding' instead of 'embeddings' for async embedding call type
* Fix: Install enterprise package into Poetry virtualenv for tests
The GitHub Actions workflow was installing litellm-enterprise to system Python
using 'python -m pip install -e .', but tests run in Poetry's virtualenv using
'poetry run pytest'. This caused ImportError for enterprise package types.
Changed to 'poetry run pip install -e .' so the package is available in the
same virtualenv where pytest executes.
Fixes enterprise test collection errors in GitHub Actions CI.
* Move Prompt Security guardrail tests to tests/test_litellm/
Per reviewer feedback, move test_prompt_security_guardrails.py from
tests/guardrails_tests/ to tests/test_litellm/proxy/guardrails/ so
it will be executed by GitHub Actions workflow test-litellm.yml.
This ensures the Prompt Security integration tests run in CI.
---------
Co-authored-by: Ori Tabac <oritabac@prompt.security>
Co-authored-by: Vitaly Neyman <vitaly@prompt.security>
* Add doc for adding model pricing and context window
Co-authored-by: krrishdholakia <krrishdholakia@gmail.com>
* Refactor model pricing documentation to include sample spec and examples
Co-authored-by: krrishdholakia <krrishdholakia@gmail.com>
---------
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
* Add fallback in sort to prevent NoneType and str comparison
* Hide Default Team Settings from Proxy Admin Viewers
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Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
* fix: prevent duplicate spend logs in Responses API for non-OpenAI providers
Fixes#15740
This fixes a logging duplication bug where using kwargs.pop() removed
the litellm_logging_obj before passing kwargs to internal acompletion()
calls, causing duplicate spend log entries for providers without native
Responses API support (Anthropic, Gemini, etc).
By changing from pop() to get(), the logging object is preserved and
reused across the internal completion call, preventing duplicate entries
and maintaining correct cost tracking.
* test: add test for logging object preservation in responses API
Verify that litellm_logging_obj is preserved in kwargs when calling
responses(), ensuring no duplicate spend log entries are created.
