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refactor(fs_write): improve edit ordering and UI formatting
Implement improved edit ordering approach for fs_write tool:
- Sort operations by type priority (Create/Rewrite first, line-based operations, string operations, append last)
- Give ReplaceLines, DeleteLines, and Insert operations the same priority
- Apply line-based operations from bottom to top to avoid line number shifting
- Eliminate redundant line number adjustment logic
Enhance UI formatting:
- Use green ticks for successful operations
- Use red exclamation marks for errors
- Use neutral bullets for summary lines
- Only color the symbols, not the text that follows them
Update tool_index.json documentation to clearly explain the edit ordering approach
and explicitly state that LLMs should not attempt to adjust line numbers.
Document the approach in code-roast.md for future reference.
🤖 Assisted by [Amazon Q Developer](https://aws.amazon.com/q/developer)
-`semantic_search_client/` - Client for semantic search capabilities
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-`packages/` - Contains all internal npm packages
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-`autocomplete/` - Autocomplete functionality
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-`dashboard-app/` - Dashboard interface
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-`proto/` - Protocol buffer message specifications for inter-process communication
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-`extensions/` - IDE extensions
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-`extensions/` - IDE extensions for VSCode, JetBrains, and GNOME
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-`build-scripts/` - Python scripts for building, signing, and testing
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-`tests/` - Integration tests
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-`rfcs/` - Request for Comments documents for feature proposals
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## Amazon Q Chat Implementation
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### Core Components
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1.**Chat Module Structure**
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- The chat functionality is implemented in the `q_cli/src/cli/chat` directory
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- The chat functionality is implemented in the `chat-cli/src/cli/chat` directory
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- Main components include conversation state management, input handling, response parsing, and tool execution
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2.**User Interface**
@@ -72,6 +80,23 @@ The chat implementation includes a robust tool system that allows Amazon Q to in
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- The `/acceptall` command can toggle automatic acceptance for the session
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- Tool responses are limited to prevent excessive output (30KB limit)
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### MCP (Model Context Protocol) Integration
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1.**MCP Client**:
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- Implements the Model Context Protocol for extending Amazon Q's capabilities
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- Allows communication with external MCP servers that provide additional tools
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- Supports different transport mechanisms (stdio, websocket)
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2.**MCP Server Discovery**:
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- Automatically discovers and connects to available MCP servers
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- Registers server-provided tools with the tool manager
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- Handles tool invocation routing to appropriate servers
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3.**Custom Tool Integration**:
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- Enables third-party developers to extend Amazon Q with custom tools
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- Standardizes tool registration and invocation patterns
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- Provides error handling and response formatting
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### Technical Implementation
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1.**API Communication**:
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- Region checking for service availability
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- Telemetry for usage tracking
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The implementation provides a seamless interface between the user and Amazon Q's AI capabilities, with powerful tools that allow the assistant to help with file operations, command execution, and AWS service interactions, all within a terminal-based chat interface.
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## Recent Developments
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1.**Batch File Operations**:
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- RFC for enhancing fs_read and fs_write tools to support batch operations
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- Multi-file reading and writing in a single operation
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- Multiple edits per file with proper ordering to maintain line number integrity
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- Search/replace operations across files with wildcard patterns
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2.**MCP Improvements**:
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- Enhanced Model Context Protocol implementation
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- Better support for external tool providers
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- Standardized tool registration and invocation
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The implementation provides a seamless interface between the user and Amazon Q's AI capabilities, with powerful tools that allow the assistant to help with file operations, command execution, and AWS service interactions, all within a terminal-based chat interface.
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