* 🧠 feat: Add Thinking Level Config for Gemini 3 Models
- Introduced a new setting for 'thinking level' in the Google configuration, allowing users to control the depth of reasoning for Gemini 3 models.
- Updated translation files to include the new 'thinking level' label and description.
- Enhanced the Google LLM configuration to support the new 'thinking level' parameter, ensuring compatibility with both Google and Vertex AI providers.
- Added necessary schema and type definitions to accommodate the new setting across the data provider and API layers.
* test: Google LLM Configuration for Gemini 3 Models
- Added tests to validate default thinking configuration for Gemini 3 models, ensuring `thinkingConfig` is set correctly without `thinkingLevel`.
- Implemented logic to ignore `thinkingBudget` for Gemini 3+ models, confirming that it does not affect the configuration.
- Included a test to verify that `gemini-2.9-flash` is not classified as a Gemini 3+ model, maintaining expected behavior for earlier versions.
- Updated existing tests to ensure comprehensive coverage of the new configurations and behaviors.
* fix: Update translation for Google LLM thinking settings
- Revised descriptions for 'thinking budget' and 'thinking level' in the English translation file to clarify their applicability to different Gemini model versions.
- Ensured that the new descriptions accurately reflect the functionality and usage of the settings for Gemini 2.5 and 3 models.
* docs: Update comments for Gemini 3+ thinking configuration
- Added detailed comments in the Google LLM configuration to clarify the differences between `thinkingLevel` and `thinkingBudget` for Gemini 3+ models.
- Explained the necessity of `includeThoughts` in Vertex AI requests and how it interacts with `thinkingConfig` for improved understanding of the configuration logic.
* fix: Update comment for Gemini 3 model versioning
- Corrected comment in the configuration file to reflect the proper versioning for Gemini models, changing "Gemini 3.0 Models" to "Gemini 3 Models" for clarity and consistency.
* fix: Update thinkingLevel schema for Gemini 3 Models
- Removed nullable option from the thinkingLevel field in the tConversationSchema to ensure it is always defined when present, aligning with the intended configuration for Gemini 3 models.
When users don't explicitly set `maxOutputTokens` in Google/Gemini endpoint
settings, LibreChat was sending `"maxOutputTokens": ""` instead of omitting
the field. This caused issues with Gemini SDK and AI reverse proxies that
expect numeric types.
Changes:
- Add `removeEmptyStrings=true` to `removeNullishValues()` in googleSchema
- Add `removeEmptyStrings=true` to `removeNullishValues()` in compactGoogleSchema
- Add `removeEmptyStrings=true` to `removeNullishValues()` in getGoogleConfig()
- Create comprehensive test suite for Google endpoint (45 tests)
The fix ensures empty strings for numeric fields like maxOutputTokens,
temperature, topP, and topK are properly removed from the request payload.
Closes#11187
