* fix: cli auth with SSO okta
* fix: add LITTELM_CLI_SERVICE_ACCOUNT_NAME
* fix: get_litellm_cli_user_api_key_auth
* use existing_key CLI
* fix: use existing key
* test auth commands
* test_cli_sso_callback_regenerate_vs_create_flow
* feat: add CLI Token Utilities
* fix: get_stored_api_key
* move file
* fix: get_valid_models
* fix config.yaml
* TestCLITokenUtils
* TestGetValidModelsWithCLI
* fix: tie user id to keys created through CLI
* fix: add teams interface to CLI
* add /keys/update to the list client commands
* fix /sso/cli/poll to return the user_id
* fix: working TeamsManagementClient
* fix CLI Login command
* fixes for auth
* Potential fix for code scanning alert no. 3400: Clear-text logging of sensitive information
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
* ruff fix
---------
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
Allow proxy admins to add arbitrary metadata fields to MCP servers
in config.yaml under mcp_servers.<server>.mcp_info, similar to how
model_info already works.
Changes:
- Changed MCPInfo from TypedDict to Dict[str, Any] for flexibility
- Updated load_servers_from_config to preserve all custom fields
- Updated add_update_server to handle arbitrary fields from database
- Added comprehensive unit tests covering all scenarios
* feat: add Vertex AI support for file content retrieval
- Extended `custom_llm_provider` to include "vertex_ai" in `afile_content` function.
- Implemented file content retrieval logic for Vertex AI in `VertexAIFilesHandler`.
- Added helper method to extract bucket and object from URL-encoded file_id.
- Created comprehensive unit and integration tests for Vertex AI file handling.
- Updated transformation logic to ensure compatibility with Vertex AI file responses.
* fix: update Vertex AI file transformation logic
- Modified the transformation logic in `VertexAIFilesConfig` to return a newline-separated JSON string for batch JSONL files instead of a array if JSON strings.
* fix: enhance Vertex AI output handling in transformation logic
- Updated the transformation logic in `VertexAIBatchTransformation` to utilize the new `OutputInfo` TypedDict for retrieving the GCS output directory.
- Added `OutputInfo` class to type definitions for better structure and clarity in Vertex AI responses.
* fix: avoid NoneType AttributeError when extracting tags
I've been running into this error:
```
21:47:08 - LiteLLM:ERROR: litellm_logging.py:2396 - LiteLLM.LoggingError: [Non-Blocking] Exception occurred while success logging Traceback (most recent call last):
File "/usr/lib/python3.13/site-packages/litellm/litellm_core_utils/litellm_logging.py", line 2312, in async_success_handler
await callback.async_log_success_event(
...<6 lines>...
)
File "/usr/lib/python3.13/site-packages/litellm/router_strategy/budget_limiter.py", line 396, in async_log_success_event
request_tags = _get_tags_from_request_kwargs(kwargs)
File "/usr/lib/python3.13/site-packages/litellm/router_strategy/tag_based_routing.py", line 144, in _get_tags_from_request_kwargs
return _metadata.get("tags", [])
^^^^^^^^^^^^^
AttributeError: 'NoneType' object has no attribute 'get'
```
This makes the function more resilient without resorting to try catch.
* add tests
Signed-off-by: Max Falk <gmdfalk@gmail.com>
---------
Signed-off-by: Max Falk <gmdfalk@gmail.com>