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* docs: `temporaryChatRetention` to configure retention period for temporary chats to changelog * docs: `clientImageResize` for automatic client-side image resizing before upload to changelog * docs: Add rate limiting configurations for login, registration, import conversations, and forking - Introduced detailed documentation for rate limiting features to prevent abuse, including limits on login attempts, registration, conversation imports, and conversation forking. - Added configuration options for both IP and user-based limits across these features. - Updated existing documentation to reflect new rate limiting capabilities and their implications for system security and resource management. * docs: Fix typos in OpenID on-behalf flow configuration variables * docs: Add GOOGLE_SERVICE_KEY_FILE environment variable for Vertex AI authentication - Introduced the `GOOGLE_SERVICE_KEY_FILE` option in the dotenv documentation, allowing users to specify the path to their Google service account JSON key file. - Updated the Google configuration documentation to include alternative methods for managing service account credentials, enhancing flexibility for users. * chore: Update bun.lockb to reflect dependency changes * docs: Update changelog for version 1.2.8 with enhancements to MCP server management and new features - Enhanced MCP server management with new features including `serverInstructions`, user placeholder variables, `customUserVars`, and centralized `mcpServers` configuration. - Improved connection status tracking and OAuth support for MCP servers. - Added support for dynamic user field placeholders in custom endpoint headers. - Updated `clientImageResize` and `temporaryChatRetention` configurations with detailed descriptions. - Enhanced web search configuration with comprehensive Firecrawl scraper options. - Improved Model Specs documentation with updates on parameter support. * docs: Update OCR configuration documentation for Google Vertex AI support - Added `vertexai_mistral_ocr` strategy option for OCR configuration, enabling the use of Mistral OCR models on Google Cloud Vertex AI. - Updated documentation to include methods for providing Google Cloud service account credentials, including file path, URL, base64 encoded JSON, and raw JSON string. - Enhanced existing sections to reflect the new strategy and its requirements, including automatic extraction of project ID and JWT authentication for secure access. - Included example configurations for Google Vertex AI deployments in the documentation. * docs: Enhance GOOGLE_SERVICE_KEY_FILE documentation for base64 encoding option - Added support for providing the `GOOGLE_SERVICE_KEY_FILE` as a base64 encoded JSON string in the documentation. - Updated existing sections to clarify the various methods for specifying Google Cloud service account credentials, improving user guidance for Vertex AI authentication. * docs: Add `REDIS_KEY_PREFIX_VAR` to dotenv documentation for dynamic Redis key prefix - Introduced `REDIS_KEY_PREFIX_VAR`, an environment variable for specifying a dynamic Redis key prefix, enhancing flexibility for cloud deployments. - Updated documentation to reflect this new option and its use case, particularly in scenarios involving Kubernetes revision numbers. * docs: Update changelog and configuration documentation for title generation enhancements - Added detailed configuration options for title generation across all endpoints, including `titleMethod`, `titlePrompt`, `titlePromptTemplate`, and `titleEndpoint`. - Updated existing documentation to reflect these new options and their usage, improving clarity on how to customize title generation. - Included notes on shared endpoint settings applicable to various AI models, enhancing user guidance for configuration. * fix: broken links * chore: formatting * chore: reorganize librechat.yaml sub sections