* feat(langfuse): Add support for custom masking function
Allow users to pass a custom masking function via metadata to selectively
redact sensitive data (credit cards, emails, PII) before sending to Langfuse.
Usage:
```python
def mask_pii(data):
if isinstance(data, str):
data = re.sub(r'\b\d{4}[\s-]?\d{4}[\s-]?\d{4}[\s-]?\d{4}\b', '[CARD]', data)
return data
litellm.completion(
model="gpt-4",
messages=[...],
metadata={"langfuse_masking_function": mask_pii}
)
```
* fix(langfuse): Isolate masking function from other logging integrations
Extract langfuse_masking_function from metadata early in the flow and store
it in a dedicated key (_langfuse_masking_function) that only the Langfuse
logger knows to look for. This prevents the callable from leaking to other
logging integrations (Datadog, S3, etc.) which would serialize it as
"<function at 0x...>".
Changes:
- scrub_sensitive_keys_in_metadata() now extracts and stores the function
- Langfuse logger looks in the dedicated key first, falls back to metadata
- Added tests to verify isolation works correctly
* fix: add flag for disabling use_aiohttp_transport
* feat: add _create_async_transport
* feat: fixes for transport
* add httpx-aiohttp
* feat: fixes for transport
* refactor: fixes for transport
* build: fix deps
* fixes: test fixes
* fix: ensure aiohttp does not auto set content type
* test: test fixes
* feat: add LiteLLMAiohttpTransport
* fix: fixes for responses API handling
* test: fixes for responses API handling
* test: fixes for responses API handling
* feat: fixes for transport
* fix: base embedding handler
* test: test_async_http_handler_force_ipv4
* test: fix failing deepeval test
* fix: add YARL for bedrock urls
* fix: issues with transport
* fix: comment out linting issues
* test fix
* test: XAI is unstable
* test: fixes for using respx
* test: XAI fixes
* test: XAI fixes
* test: infinity testing fixes
* docs(config_settings.md): document param
* test: test_openai_image_edit_litellm_sdk
* test: remove deprecated test
* bump respx==0.22.0
* test: test_xai_message_name_filtering
* test: fix anthropic test after bumping httpx
* use n 4 for mapped tests (#11109)
* fix: use 1 session per event loop
* test: test_client_session_helper
* fix: linting error
* fix: resolving GET requests on httpx 0.28.1
* test fixes proxy unit tests
* fix: add ssl verify settings
* fix: proxy unit tests
* fix: refactor
* tests: basic unit tests for aiohttp transports
* tests: fixes xai
---------
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
* feat(bedrock/converse/transformation.py): support claude-3-7-sonnet reasoning_Content transformation
Closes https://github.com/BerriAI/litellm/issues/8777
* fix(bedrock/): support returning `reasoning_content` on streaming for claude-3-7
Resolves https://github.com/BerriAI/litellm/issues/8777
* feat(bedrock/): unify converse reasoning content blocks for consistency across anthropic and bedrock
* fix(anthropic/chat/transformation.py): handle deepseek-style 'reasoning_content' extraction within transformation.py
simpler logic
* feat(bedrock/): fix streaming to return blocks in consistent format
* fix: fix linting error
* test: fix test
* feat(factory.py): fix bedrock thinking block translation on tool calling
allows passing the thinking blocks back to bedrock for tool calling
* fix(types/utils.py): don't exclude provider_specific_fields on model dump
ensures consistent responses
* fix: fix linting errors
* fix(convert_dict_to_response.py): pass reasoning_content on root
* fix: test
* fix(streaming_handler.py): add helper util for setting model id
* fix(streaming_handler.py): fix setting model id on model response stream chunk
* fix(streaming_handler.py): fix linting error
* fix(streaming_handler.py): fix linting error
* fix(types/utils.py): add provider_specific_fields to model stream response
* fix(streaming_handler.py): copy provider specific fields and add them to the root of the streaming response
* fix(streaming_handler.py): fix check
* fix: fix test
* fix(types/utils.py): ensure messages content is always openai compatible
* fix(types/utils.py): fix delta object to always be openai compatible
only introduce new params if variable exists
* test: fix bedrock nova tests
* test: skip flaky test
* test: skip flaky test in ci/cd
* refactor _get_langfuse_input_output_content
* test_langfuse_logging_completion_with_malformed_llm_response
* fix _get_langfuse_input_output_content
* fixes for langfuse linting
* unit testing for get chat/text content for langfuse
* fix _should_raise_content_policy_error
* fix(base_utils.py): supported nested json schema passed in for anthropic calls
* refactor(base_utils.py): refactor ref parsing to prevent infinite loop
* test(test_openai_endpoints.py): refactor anthropic test to use bedrock
* fix(langfuse_prompt_management.py): add unit test for sync langfuse calls
Resolves https://github.com/BerriAI/litellm/issues/7938#issuecomment-2613293757
* fix(caching): convert arg to equivalent kwargs in llm caching handler
prevent unexpected errors
* fix(caching_handler.py): don't pass args to caching
* fix(caching): remove all *args from caching.py
* fix(caching): consistent function signatures + abc method
* test(caching_unit_tests.py): add unit tests for llm caching
ensures coverage for common caching scenarios across different implementations
* refactor(litellm_logging.py): move to using cache key from hidden params instead of regenerating one
* fix(router.py): drop redis password requirement
* fix(proxy_server.py): fix faulty slack alerting check
* fix(langfuse.py): avoid copying functions/thread lock objects in metadata
fixes metadata copy error when parent otel span in metadata
* test: update test