- Updated SpotBot to log detailed information when detecting small token balances, indicating potential gas reserves or dust.
- Introduced a minimum threshold for orphaned positions, improving decision-making on whether to open new positions.
- Enhanced logging for potential zombie positions, providing clearer warnings when token balances are missing.
- Improved force close logging to clarify the status of remaining balances after attempts to clear them.
- Updated FuturesBot logging to include a prefix indicating the bot type for better clarity in logs.
- Refactored signal retrieval code for improved readability by formatting the method call across multiple lines.
- Minor whitespace adjustments to enhance code consistency.
- Updated SpotBot to log detailed information when a closing position is found in the history, including position direction and dates.
- Enhanced logging for scenarios where no closing position is found or when position history is unavailable, improving clarity on position status.
- Removed outdated log messages to streamline the logging process.
- Added a new method to force close any remaining balance in a trading position if it was not fully closed.
- Enhanced logging to provide detailed information during the force close process, including current price checks and retry attempts.
- Implemented error handling to manage potential failures during the force close operation, ensuring manual intervention is flagged when necessary.
- Changed the default LLM provider for BYOK from Claude to Gemini.
- Updated the provider selection priority to Gemini > OpenAI > Claude for improved service efficiency.
- Removed redundant gemini provider check from the SelectProvider method to streamline the logic.
- Expanded system message to include a comprehensive critical analysis workflow for data retrieval and analysis.
- Added specific guidelines for retrieving complete data and providing in-depth analysis for backtests, bundles, and indicators.
- Emphasized the importance of proactive engagement and multiple tool iterations to ensure thorough responses.
- Updated tool usage instructions to improve clarity and effectiveness in user interactions.
- Introduced IMemoryCache to cache available MCP tools for improved performance and reduced service calls.
- Updated system message construction to provide clearer guidance on LLM's domain expertise and tool usage.
- Implemented adaptive max iteration logic based on query complexity, allowing for more efficient processing of user requests.
- Enhanced logging to include detailed iteration information and improved context trimming to manage conversation length effectively.
- Added support for iterative tool calling in LlmController, allowing multiple rounds of tool execution until a final answer is reached.
- Updated system message to provide clearer guidance on proactive tool usage and response expectations.
- Enhanced logging to track iterations and tool execution results, improving debugging and user feedback.
- Ensured that the final response is returned even if the maximum iterations are reached, maintaining user engagement.
- Added BotTradingBalance property to UserStrategyDetailsViewModel for better tracking of bot allocations.
- Updated DataController to include BotTradingBalance in the response model.
- Improved LlmController by refining the system message to ensure LLM understands its response capabilities and tool usage.
- Introduced new MCP tools for running and analyzing bundle backtests, enhancing backtesting capabilities for users.
- Implemented security measures in BotTools to ensure users can only access their own bots, improving data privacy.
- Introduced a system message in LlmController to clarify that tools are optional for LLM responses, enhancing user guidance.
- Refactored indicator type resolution in IndicatorTools to support fuzzy matching and provide suggestions for invalid types, improving user experience and error handling.
- Updated methods to utilize the new resolution logic, ensuring consistent handling of indicator types across the application.
- Deleted the McpService class, which was previously responsible for executing Model Context Protocol (MCP) tools.
- Updated the ApiBootstrap class to change the registration of IMcpService to the new Managing.Mcp.McpService implementation.
- Added new MCP tool implementations for DataTools, BotTools, and IndicatorTools to enhance functionality.
- Added functionality to update the default LLM provider for users via a new endpoint in UserController.
- Introduced LlmProvider enum to manage available LLM options: Auto, Gemini, OpenAI, and Claude.
- Updated User and UserEntity models to include DefaultLlmProvider property.
- Enhanced database context and migrations to support the new LLM provider configuration.
- Integrated LLM services into the application bootstrap for dependency injection.
- Updated TypeScript API client to include methods for managing LLM providers and chat requests.
- Introduced a new endpoint in UserController to update the agent summary, ensuring balance data is refreshed after transactions.
- Implemented ForceUpdateSummaryImmediate method in IAgentGrain to allow immediate updates without cooldown checks.
- Enhanced StartBotCommandHandler to force update the agent summary before starting the bot, ensuring accurate balance data.
- Updated TypeScript API client to include the new update-agent-summary method for frontend integration.
- Added early validation to prevent swapping synthetic tokens, ensuring users are informed about the limitations of synthetic tokens.
- Enhanced the swap logic to handle synthetic tokens by falling back to a direct swap order transaction when synthetic tokens are involved or when the SDK swap fails.
- Improved the calculation of minimum output amounts based on swap path statistics or fallback to price-based calculations for better accuracy.
- Updated `getTokenDataFromTicker` to support both synthetic and non-synthetic tokens by attempting to fetch v2 tokens first, falling back to a version-less search if necessary.
- Added minimum and maximum balance filters to the bot list, allowing users to specify balance constraints for better bot management.
- Refactored sorting direction to use a dedicated `SortDirection` enum for improved type safety.
- Simplified Dockerfile by removing redundant build step and adjusting COPY command for clarity.
- Updated publish command to include --no-restore for efficiency during the build process.
- Adjusted Dockerfile to correct project paths for COPY commands, ensuring proper build context.
- Enhanced TypeScript interfaces by adding 'gmxSlippage' to User and 'botTradingBalance' to TradingBotResponse, improving data handling.
- Updated methods in BotClient and DataClient to include optional min and max balance parameters for better filtering capabilities.
- Introduced optional parameters for minimum and maximum BotTradingBalance in BotController, DataController, and related services.
- Updated interfaces and repository methods to support filtering by BotTradingBalance.
- Enhanced TradingBotResponse and BotEntity models to include BotTradingBalance property.
- Adjusted database schema to accommodate new BotTradingBalance field.
- Ensured proper mapping and handling of BotTradingBalance in PostgreSQL repository and mappers.
- Added support for Swagger in the API by setting EnableSwagger environment variable.
- Implemented build error handling for both API and Workers, providing detailed feedback and suggestions for resolution.
- Updated vibe-dev-server.sh to start the API and Workers using Aspire, including improved logging and dashboard URL extraction.
- Enhanced waiting mechanisms for API readiness and Aspire dashboard availability, ensuring smoother startup experience.
- Added new entries to .gitignore for environment files and dynamically generated Docker Compose files.
- Updated documentation to reflect the new path for the Vibe Kanban dev server script.
- Enhanced task composition scripts to extract TASK_SLOT from TASK_ID, ensuring unique Orleans ports and preventing conflicts.
- Removed the old vibe-dev-server script, consolidating functionality into the new structure.
This commit introduces additional user settings properties, including TrendStrongAgreementThreshold, SignalAgreementThreshold, AllowSignalTrendOverride, and DefaultExchange, to the User entity and associated DTOs. The UserController and UserService are updated to handle these new settings, allowing users to customize their trading configurations more effectively. Database migrations are also included to ensure proper schema updates for the new fields.
Implement a new endpoint in UserController to allow users to update their settings. The UserService is updated to handle the logic for updating user settings, including partial updates for various fields. Additionally, the User entity and database schema are modified to accommodate new user settings properties, ensuring persistence and retrieval of user preferences.
