SuYao fba6c1642d feat: implement tool call progress handling and status updates (#7303) ... * feat: implement tool call progress handling and status updates - Update MCP tool response handling to include 'pending' and 'cancelled' statuses. - Introduce new IPC channel for progress updates. - Enhance UI components to reflect tool call statuses, including pending and cancelled states. - Add localization for new status messages in multiple languages. - Refactor message handling logic to accommodate new tool response types. * fix: adjust alignment of action tool container in MessageTools component - Change justify-content from flex-end to flex-start to improve layout consistency. * feat: enhance tool confirmation handling and update related components - Introduced a new tool confirmation mechanism in userConfirmation.ts, allowing for individual tool confirmations. - Updated GeminiAPIClient and OpenAIResponseAPIClient to include tool configuration options. - Refactored MessageTools component to utilize new confirmation functions and improved styling. - Enhanced mcp-tools.ts to manage tool invocation and confirmation processes more effectively, ensuring real-time status updates. * refactor(McpToolChunkMiddleware): enhance tool execution handling and confirmation tracking - Updated createToolHandlingTransform to manage confirmed tool calls and results more effectively. - Refactored executeToolCalls and executeToolUseResponses to return both tool results and confirmed tool calls. - Adjusted buildParamsWithToolResults to utilize confirmed tool calls for building new request messages. - Improved error handling in messageThunk for tool call status updates, ensuring accurate block ID mapping. * feat(McpToolChunkMiddleware, ToolUseExtractionMiddleware, mcp-tools, userConfirmation): enhance tool execution and confirmation handling - Updated McpToolChunkMiddleware to execute tool calls and responses asynchronously, improving performance and response handling. - Enhanced ToolUseExtractionMiddleware to generate unique tool IDs for better tracking. - Modified parseToolUse function to accept a starting index for tool extraction. - Improved user confirmation handling with abort signal support to manage tool action confirmations more effectively. - Updated SYSTEM_PROMPT to clarify the use of multiple tools per message. * fix(tagExtraction): update test expectations for tag extraction results - Adjusted expected length of results from 7 to 9 to reflect changes in tag extraction logic. - Modified content assertions for specific tag contents to ensure accurate validation of extracted tags. * refactor(GeminiAPIClient, OpenAIResponseAPIClient): remove unused function calling configurations - Removed the unused FunctionCallingConfigMode from GeminiAPIClient to streamline the code. - Eliminated the parallel_tool_calls property from OpenAIResponseAPIClient, simplifying the tool call configuration. * feat(McpToolChunkMiddleware): enhance LLM response handling and tool call confirmation - Added notification to UI for new LLM response processing before recursive calls in createToolHandlingTransform. - Improved tool call confirmation logic in executeToolCalls to match tool IDs more accurately, enhancing response validation. * refactor(McpToolChunkMiddleware, ToolUseExtractionMiddleware, messageThunk): remove unnecessary console logs - Eliminated redundant console log statements in McpToolChunkMiddleware, ToolUseExtractionMiddleware, and messageThunk to clean up the code and improve performance. - Focused on enhancing readability and maintainability by reducing clutter in the logging output. * refactor(McpToolChunkMiddleware): remove redundant logging statements - Eliminated unnecessary logging in createToolHandlingTransform to streamline the code and enhance readability. - Focused on reducing clutter in the logging output while maintaining error handling functionality. * feat: enhance action button functionality with cancel and confirm options * refactor(AbortHandlerMiddleware, McpToolChunkMiddleware, ToolUseExtractionMiddleware, messageThunk): improve error handling and code clarity - Updated AbortHandlerMiddleware to skip abort status checks if an error chunk is received, enhancing error handling logic. - Replaced console.error with Logger.error in McpToolChunkMiddleware for consistent logging practices. - Refined ToolUseExtractionMiddleware to improve tool use extraction logic and ensure proper handling of tool_use tags. - Enhanced messageThunk to include initialPlaceholderBlockId in block ID checks, improving error state management. * refactor(ToolUseExtractionMiddleware): enhance tool use parsing logic with counter - Introduced a toolCounter to track the number of tool use responses processed. - Updated parseToolUse function calls to include the toolCounter, improving the extraction logic and ensuring accurate response handling. * feat(McpService, IpcChannel, MessageTools): implement tool abort functionality - Added Mcp_AbortTool channel to handle tool abortion requests. - Implemented abortTool method in McpService to manage active tool calls and provide logging. - Updated MessageTools component to include an abort button for ongoing tool calls, enhancing user control. - Modified API calls to support optional callId for better tracking of tool executions. - Added localization strings for tool abort messages in multiple languages. --------- Co-authored-by: Vaayne <liu.vaayne@gmail.com>		2025-07-08 17:17:58 +08:00
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shared	feat: implement tool call progress handling and status updates (#7303)	2025-07-08 17:17:58 +08:00