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feat: implement research command with enhanced context gathering - Add comprehensive research command with AI-powered queries - Implement ContextGatherer utility for reusable context extraction - Support multiple context types: tasks, files, custom text, project tree - Add fuzzy search integration for automatic task discovery - Implement detailed token breakdown display with syntax highlighting - Add enhanced UI with boxed output and code block formatting - Support different detail levels (low, medium, high) for responses - Include project-specific context for more relevant AI responses - Add token counting with gpt-tokens library integration - Create reusable patterns for future context-aware commands - Task 94.4 completed

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Eyal Toledano
2025-05-25 03:51:51 -04:00
parent 4234cc3d87
commit bb5a0211f4
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@@ -1,5 +1,5 @@
---
'task-master-ai': minor
"task-master-ai": minor
---
Add comprehensive AI-powered research command with intelligent context gathering and interactive follow-ups.
@@ -7,6 +7,7 @@ Add comprehensive AI-powered research command with intelligent context gathering
The new `research` command provides AI-powered research capabilities that automatically gather relevant project context to answer your questions. The command intelligently selects context from multiple sources and supports interactive follow-up questions in CLI mode.
**Key Features:**
- **Intelligent Task Discovery**: Automatically finds relevant tasks and subtasks using fuzzy search based on your query keywords, supplementing any explicitly provided task IDs
- **Multi-Source Context**: Gathers context from tasks, files, project structure, and custom text to provide comprehensive answers
- **Interactive Follow-ups**: CLI users can ask follow-up questions that build on the conversation history while allowing fresh context discovery for each question
@@ -15,6 +16,7 @@ The new `research` command provides AI-powered research capabilities that automa
- **Enhanced Display**: Syntax-highlighted code blocks and structured output with clear visual separation
**Usage Examples:**
```bash
# Basic research with auto-discovered context
task-master research "How should I implement user authentication?"
@@ -30,12 +32,14 @@ task-master research "Quick implementation steps?" --context="Using JWT tokens"
```
**Context Sources:**
- **Tasks**: Automatically discovers relevant tasks/subtasks via fuzzy search, plus any explicitly specified via `--id`
- **Files**: Include specific files via `--files` for code-aware responses
- **Project Tree**: Add `--tree` to include project structure overview
- **Custom Context**: Provide additional context via `--context` for domain-specific information
**Interactive Features (CLI only):**
- Follow-up questions that maintain conversation history
- Fresh fuzzy search for each follow-up to discover newly relevant tasks
- Cumulative context building across the conversation