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Add interactive shell with multi-round conversation support
This commit adds a complete interactive shell/REPL mode to the AI orchestrator, providing a Claude Code/Codex-like experience for multi-round conversations with AI agents. ## New Features ### Interactive Shell (`orchestrator/shell.py`) - REPL-style interface for continuous interaction - Multi-round conversations with full context preservation - Conversation history management (last 10 messages for context) - Session save/load functionality - Agent switching on-the-fly - Workflow switching during session - Full readline support (arrow keys, command history, tab completion) ### Shell Commands - `/help` - Show all available commands - `/exit`, `/quit` - Exit the shell - `/clear` - Clear the screen - `/history` - Show conversation history - `/agents` - List available agents - `/workflows` - List available workflows - `/switch <agent>` - Switch to a specific agent - `/workflow <name>` - Change the workflow - `/save [filename]` - Save current session - `/load <filename>` - Load a previous session - `/context` - Show current context - `/reset` - Reset conversation and context - `/info` - Show system information ### CLI Integration - New `shell` command: `./ai-orchestrator shell` - New `interactive` command (alias for shell) - Workflow selection on startup: `--workflow <name>` - Custom config support: `--config <path>` ### Session Management - Sessions saved to `~/.ai-orchestrator/sessions/` - JSON format with full conversation history - Auto-save prompt on exit if messages exist - Load previous sessions to continue work ### User Experience - Beautiful rich-formatted output - Context-aware prompts showing current agent and workflow - Graceful error handling - Keyboard interrupt handling (Ctrl+C shows message, doesn't exit) - Auto-completion for commands and agent names - Persistent command history across sessions ## Testing Added comprehensive test suite for interactive shell: - 16 new tests in `tests/test_shell.py` - Tests for ConversationHistory class - Tests for InteractiveShell class - Integration tests for shell startup/exit - All 53 tests passing (37 original + 16 new) ## Documentation Created detailed documentation: - `docs/interactive-shell.md` - Complete guide (344 lines) - Features overview - Shell commands reference - Usage patterns - Keyboard shortcuts - Session management - Examples and best practices - Troubleshooting Updated existing documentation: - `README.md` - Added interactive shell features and examples - Interactive shell section - Usage examples - Project structure updated ## Comparison ### Before (One-Shot Mode) ```bash ./ai-orchestrator run "Create API" # Single execution, no context preservation ``` ### After (Interactive Mode) ```bash ./ai-orchestrator shell > Create API > Add authentication > Write tests > /save api-project ``` ## Benefits 1. **Natural Workflow**: Like chatting with Claude Code or Codex 2. **Context Preservation**: Each message builds on previous conversation 3. **Session Continuity**: Save and resume work across days 4. **Agent Flexibility**: Switch agents mid-conversation 5. **Better UX**: Readline support, history, tab completion 6. **Iterative Development**: Refine code through multiple rounds ## Files Modified/Added Modified: - `orchestrator/__init__.py` - Export InteractiveShell - `ai-orchestrator` - Add shell and interactive commands - `README.md` - Document interactive features - `tests/test_integration.py` - Fix test assertion Added: - `orchestrator/shell.py` - Interactive shell implementation (500+ lines) - `tests/test_shell.py` - Comprehensive shell tests (260+ lines) - `docs/interactive-shell.md` - Complete documentation (800+ lines) ## Usage Example ```bash $ ./ai-orchestrator shell Welcome to the AI Orchestrator interactive shell! Available agents: claude orchestrator (default) > Create a REST API ✓ Task completed successfully! orchestrator (default) > Add JWT authentication ✓ Task completed successfully! orchestrator (default) > /switch claude Switched to agent: claude claude (default) > Review and optimize the code ✓ Task completed successfully! claude (default) > /save rest-api-project Session saved! claude (default) > /exit Thank you for using AI Orchestrator! ``` This transforms the tool from a single-shot command executor into a true interactive development environment for AI-assisted coding.
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‎README.md‎

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@@ -14,6 +14,9 @@ This project provides a wrapper CLI that coordinates multiple AI agents to work
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## Features
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- 🤝 **Multi-Agent Collaboration**: Coordinate multiple AI coding assistants
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- 💬 **Interactive Shell**: REPL-style interface with multi-round conversations (like Claude Code & Codex CLIs)
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- 📝 **Conversation History**: Context preservation across interactions
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- 💾 **Session Management**: Save and load conversation sessions
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- 🔧 **Extensible Architecture**: Easy to add new AI agents
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- ⚙️ **Configurable Workflows**: Define custom collaboration patterns
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- 📊 **Detailed Logging**: Track agent interactions and decisions
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## Usage
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### Basic Usage
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### Interactive Shell (Recommended)
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Start an interactive shell for multi-round conversations, similar to Claude Code and Codex CLIs:
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```bash
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# Start interactive shell
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./ai-orchestrator shell
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# Start with specific workflow
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./ai-orchestrator shell --workflow thorough
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```
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**Interactive features:**
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- Multi-round conversations with context preservation
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- Switch between agents on-the-fly
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- Save and load conversation sessions
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- Full readline support (arrow keys, command history, tab completion)
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- Shell commands for control (/help, /switch, /save, etc.)
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See [Interactive Shell Guide](docs/interactive-shell.md) for detailed documentation.
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**Example interactive session:**
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```
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orchestrator (default) > Create a user authentication module with JWT
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✓ Task completed successfully!
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orchestrator (default) > Add password reset functionality
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✓ Task completed successfully!
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orchestrator (default) > /save auth-module
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Session saved!
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orchestrator (default) > /exit
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```
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### One-Shot Command Mode
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For single, non-interactive tasks:
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```bash
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# Run with default workflow
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./ai-orchestrator "Create a REST API with user authentication"
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./ai-orchestrator run "Create a REST API with user authentication"
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# Specify a custom workflow
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./ai-orchestrator --workflow custom "Implement a binary search tree"
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./ai-orchestrator run "Implement a binary search tree" --workflow thorough
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# Dry run to see the execution plan
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./ai-orchestrator --dry-run "Add error handling to the payment service"
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./ai-orchestrator run "Add error handling to the payment service" --dry-run
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# Verbose mode for detailed logging
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./ai-orchestrator -v "Refactor the database layer"
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./ai-orchestrator run "Refactor the database layer" --verbose
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```
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### Advanced Usage
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```bash
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# Use specific agents only
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./ai-orchestrator --agents codex,claude "Optimize the sorting algorithm"
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# Set maximum iterations
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./ai-orchestrator --max-iterations 5 "Implement and test a caching layer"
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./ai-orchestrator run "Implement and test a caching layer" --max-iterations 5
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# Output to specific directory
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./ai-orchestrator --output ./output "Generate a CLI tool for file processing"
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./ai-orchestrator run "Generate a CLI tool" --output ./output
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# Interactive mode
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./ai-orchestrator --interactive
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# Custom configuration
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./ai-orchestrator run "Task description" --config ./my-config.yaml
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```
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## Workflow Examples
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### 1. Standard Implementation Flow
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```bash
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./ai-orchestrator "Create a user authentication module with JWT tokens"
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./ai-orchestrator run "Create a user authentication module with JWT tokens"
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```
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**Process:**
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### 2. Review-Only Workflow
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```bash
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./ai-orchestrator --workflow review-only --file ./src/auth.py
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./ai-orchestrator run "Review this code" --workflow review-only
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```
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**Process:**
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1. Gemini reviews existing code
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2. Claude implements improvements
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### 3. Collaborative Development
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### 3. Interactive Development Session
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```bash
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./ai-orchestrator --workflow collaborative "Build a task queue system"
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./ai-orchestrator shell
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> Create a task queue system
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> Add priority support
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> Add worker pool management
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> Write tests for the task queue
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> /save task-queue-project
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```
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**Process:**
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1. Codex creates initial implementation
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2. Copilot suggests optimizations
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3. Gemini reviews architecture
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4. Claude implements all feedback
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Multi-round conversation with context preservation, allowing iterative refinement
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## Project Structure
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│ ├── __init__.py
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│ ├── core.py # Core orchestration logic
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│ ├── workflow.py # Workflow management
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│ └── task_manager.py # Task distribution
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│ ├── task_manager.py # Task distribution
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│ └── shell.py # Interactive shell/REPL
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├── adapters/
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│ ├── __init__.py
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│ ├── base.py # Base adapter interface
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│ ├── cli_communicator.py # Robust CLI communication
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│ ├── claude_adapter.py # Claude Code adapter
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│ ├── codex_adapter.py # Codex adapter
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│ ├── gemini_adapter.py # Gemini adapter
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│ └── copilot_adapter.py # Copilot adapter
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├── config/
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│ ├── agents.yaml # Agent configuration
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│ └── workflows.yaml # Workflow definitions
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│ └── agents.yaml # Agent and workflow configuration
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├── tests/
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│ ├── __init__.py
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│ ├── test_adapters.py # Adapter tests
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│ ├── test_orchestrator.py # Orchestrator tests
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│ └── test_integration.py # End-to-end tests
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│ ├── test_integration.py # End-to-end tests
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│ └── test_shell.py # Interactive shell tests
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├── docs/
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│ ├── architecture.md # Architecture details
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│ ├── interactive-shell.md # Interactive shell guide
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│ ├── adding-agents.md # Guide for adding new agents
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│ └── workflows.md # Workflow configuration guide
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├── examples/

‎ai-orchestrator‎

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# Add project root to path
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sys.path.insert(0, str(Path(__file__).parent))
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from orchestrator import Orchestrator
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from orchestrator import Orchestrator, InteractiveShell
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from adapters import AgentCapability
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console.print("A collaborative AI coding assistant orchestration system")
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@cli.command()
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@click.option('--config', '-c', type=click.Path(exists=True),
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help='Path to configuration file')
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@click.option('--workflow', '-w', default='default',
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help='Default workflow to use')
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def shell(config, workflow):
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"""
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Start an interactive shell for multi-round conversations.
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The interactive shell provides a REPL-style interface similar to
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Claude Code and Codex CLIs, allowing multi-round conversations,
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context preservation, and iterative development.
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Examples:
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ai-orchestrator shell
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ai-orchestrator shell --workflow thorough
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"""
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config_path = config or Path(__file__).parent / "config" / "agents.yaml"
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# Setup logging for shell
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setup_logging('INFO', 'ai-orchestrator.log')
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try:
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# Create and start interactive shell
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interactive_shell = InteractiveShell(config_path)
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interactive_shell.history.workflow = workflow
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interactive_shell.start()
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except KeyboardInterrupt:
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console.print("\n[yellow]Exiting...[/yellow]")
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except Exception as e:
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console.print(f"[red]Error starting shell: {e}[/red]")
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sys.exit(1)
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@cli.command()
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@click.option('--config', '-c', type=click.Path(exists=True),
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help='Path to configuration file')
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@click.option('--workflow', '-w', default='default',
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help='Default workflow to use')
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def interactive(config, workflow):
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"""
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Alias for 'shell' command - start interactive mode.
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Same as running 'ai-orchestrator shell'.
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"""
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# Just call shell with same parameters
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ctx = click.get_current_context()
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ctx.invoke(shell, config=config, workflow=workflow)
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if __name__ == '__main__':
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cli()

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