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- Add ChatAISystemLLMEnum with comprehensive provider information - Create LLMProviderInfo class for structured metadata - Implement extension methods for JSON serialization and batch operations - Update ChatAIGAgentConfigDto to use enum instead of string - Support automatic schema generation with x-enumNames extensions - Enable type-safe LLM provider selection with rich metadata This provides: - Strong typing for LLM provider selection - Rich metadata including performance characteristics and use cases - JSON serialization support for schema generation - Backward compatibility through ToString() conversion - Structured information for Station UI dropdown enhancement
- Add JSON-encoded Description attributes to ChatAISystemLLMEnum values - Create ChatAISchemaEnhancer for advanced schema generation - Include structured metadata: provider, performance, use cases - Support provider grouping and categorization - Enable rich UI dropdown with detailed provider information - Add features, pricing, and enterprise classification - Provide both automated and manual schema enhancement options This enables Station to display: - Provider names and categories - Performance characteristics - Use case descriptions - Enterprise vs standard tiers - Feature comparisons - Structured metadata for better UX
… schema enhancement - Create comprehensive metadata framework with interfaces, base classes, and processors - Add LLMProviderMetadataAttribute and MCPServerMetadataAttribute for structured enum metadata - Implement UniversalSchemaProcessor for automatic schema enhancement from metadata attributes - Create ConfigurationSchemaEnhancer for unified configuration schema generation - Update ChatAISystemLLMEnum with rich metadata attributes for Station frontend - Add support for provider info, performance data, use cases, and UI configuration - Enable Station to receive structured metadata via JSON Schema x-extensions - Maintain backward compatibility with existing Orleans serialization - Provide type-safe metadata access through extension methods This framework enables any GAgent configuration to expose rich metadata to the Station frontend through standardized metadata attributes, making the system highly extensible and maintainable for future enhancements.
- Delete LLMProviderMetadataService.cs as it's superseded by the universal framework - UniversalSchemaProcessor and ConfigurationSchemaEnhancer provide better abstraction - Keep LLMProviderMetadataAttribute.cs as it's the core metadata attribute - Maintain cleaner codebase with single responsibility principle - Reduce maintenance overhead by eliminating duplicate functionality
…project - Delete MCPServerMetadataAttribute.cs from Twitter/ChatAIAgent directory - This file was mistakenly placed in Twitter project during development - MCPServerType enum currently only uses simple [Description] attributes - UniversalSchemaProcessor is designed to be generic and doesn't require MCP-specific references - Maintain clean separation of concerns: MCP-related code stays in MCP.Core - Code compiles successfully after cleanup
…tion success - Delete ConfigurationSchemaEnhancer.cs as it was superseded by simplified approach - Delete LLMProviderMetadataAttribute.cs as it referenced deleted framework components - Remove ChatAISchemaEnhancer.cs which had compilation errors due to deleted methods - Clean up ChatAISystemLLMEnum.cs by removing LLMProviderMetadata attributes and extension code - Simplify to only use basic [Description] attributes on enum values - All files compile successfully after cleanup - Maintain simple and maintainable code structure
…MEnum - Remove all [Description] attributes as they duplicate XML documentation comments - Remove unnecessary System.ComponentModel using directive - Keep only XML summary comments for developer documentation - Enum names are self-descriptive and sufficient for schema generation - Reduces code duplication and maintenance overhead - Compilation verified successful with no errors
- Add System.ComponentModel.Description attributes to all ConfigDto classes - Improve code documentation and maintainability - Cover all major configuration classes including: * MemberConfigDto and GroupMemberConfigDto * LLMConfigDto and SelfLLMConfig * ChatConfigDto and ChatAIGAgentConfigDto * InputConfigDto and PsiOmniGAgentConfig * MCPGAgentConfig and WorkflowCoordinatorConfigDto * WorkflowUnitDto and related workflow classes - Restore WorkflowViewConfigDto to original state (not a config class) - Ensure all descriptions are accurate and helpful for developers
…tructured metadata - Add GenericMetaAttribute class for flexible enum metadata support - Add comprehensive metadata to ChatAISystemLLMEnum with provider, type, strengths, best_for, and speed attributes - Implement SystemLLMMetaKeys constants for metadata key management - Support multiple parameter constructors for nested metadata structures - Enhance LLM selection with detailed capability descriptions
- Add Aevatar.GAgents.Basic namespace to GenericMetaAttribute.cs - Add System and System.Linq using statements for proper compilation - Add using Aevatar.GAgents.Basic to ChatAISystemLLMEnum.cs for attribute resolution - Ensure proper packaging and reference for GenericMetaAttribute usage across projects
# Conflicts: # src/Aevatar.GAgents.PsiOmni/PsiOmniGAgentConfig.cs
- Create new two-parameter validation demonstration module - Implement HTTP request input type validation (None, FormData, XWwwFormUrlencoded, JSON, Raw, Binary) - Add ConfigValidateGAgentConfig with IValidatableObject implementation - Support dynamic validation based on InputType enum - Provide comprehensive validation error messages - Include complete English localization for international development - Follow GAgent implementation best practices with event sourcing - Add proper Orleans serialization attributes and state management
- Delete src/Aevatar.GAgents.ConfigValidateGagent/ directory and all its contents - Remove project reference from AevatarGAgents.sln solution file - Remove ConfigValidateGagent from MyGet publish workflow - Clean up test project that was no longer needed
arg-foo
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Aug 26, 2025
| [Id(1)] public string SystemLLM { get; set; } = "OpenAI"; | ||
| [Id(1)] | ||
| [Description("The system LLM configuration to use for AI chat functionality")] | ||
| public ChatAISystemLLMEnum SystemLLM { get; set; } = ChatAISystemLLMEnum.OpenAI; |
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This should stay consistent with appsettings' llm configuration instead of creating an enum to correspond to each.
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Sep 4, 2025
…tar-gagents - Add GenericMetaAttribute and ChatAISystemLLMEnum for metadata framework - Add Description attributes to all ConfigDto properties across the project - Cover all major configuration classes including: * MemberConfigDto and GroupMemberConfigDto * LLMConfigDto and SelfLLMConfig * ChatConfigDto and ChatAIGAgentConfigDto * InputConfigDto and PsiOmniGAgentConfig * MCPGAgentConfig and WorkflowCoordinatorConfigDto * WorkflowUnitDto and related workflow classes - Migrated from aevatarAI/aevatar-gagents#163
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