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bad05a2bdc
* Add initial harness console for python * Add textual to project * Add planning and approval flows with list selector * Address PR comments * Fix list selection bug * Fix PR #6312 round 2 review comments - Escape untrusted agent text with rich.markup.escape() in observers (text_output, planning_output, reasoning_display) to prevent markup injection - Remove non-functional 'Always approve' choices from tool_approval.py (framework lacks CreateAlwaysApproveToolResponse support) - Remove textual from root pyproject.toml dev deps (sample-specific) - Add PEP 723 inline script metadata to harness_research.py - Narrow except Exception to except NoMatches in list_selection.py Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix build error * Fix build errors --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
95 lines
3.7 KiB
Markdown
95 lines
3.7 KiB
Markdown
# Harness Console
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A Textual-based terminal UI for running and observing AI agents built with the Agent Framework.
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## Quick Start
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```python
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from console import run_agent_async, build_default_observers
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await run_agent_async(
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agent=my_agent,
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session=my_session,
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observers=build_default_observers(),
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)
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```
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See [`harness_research.py`](../harness_research.py) for a complete example.
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## Package Structure
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```
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console/
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├── __init__.py # Public API exports
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├── harness_console.py # run_agent_async() entry point
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├── app.py # HarnessApp (Textual application)
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├── app_state.py # HarnessAppState, enums, data types
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├── agent_runner.py # HarnessAgentRunner (streaming orchestration)
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├── state_driver.py # IUXStateDriver protocol
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├── textual_state_driver.py # Textual implementation of IUXStateDriver
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├── formatters.py # Tool call formatters
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├── observers/ # Lifecycle observers
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│ ├── base.py # ConsoleObserver abstract base
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│ ├── text_output.py # Streaming text display
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│ ├── tool_call_display.py # Tool call formatting
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│ ├── tool_approval.py # User approval for tool calls
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│ ├── error_display.py # Error messages
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│ ├── usage_display.py # Token usage tracking
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│ └── reasoning_display.py # Reasoning/thinking blocks
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├── components/ # Textual UI widgets
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│ ├── scroll_panel.py # Conversation history
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│ ├── text_input.py # User text input
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│ ├── list_selection.py # Multiple choice selector
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│ ├── agent_status.py # Spinner + usage display
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│ └── agent_mode_help.py # Mode indicator + help text
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└── commands/ # Slash command handlers
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├── base.py # CommandHandler abstract base
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├── exit_handler.py # /exit
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├── mode_handler.py # /mode [plan|execute]
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├── todo_handler.py # /todos
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└── session_handler.py # /session-export, /session-import
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```
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## Public API
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| Export | Description |
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|--------|-------------|
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| `run_agent_async` | Main entry point — runs the Textual app with an agent |
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| `build_default_observers` | Factory for the standard observer set |
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| `build_default_command_handlers` | Factory for slash command handlers |
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| `ConsoleObserver` | Base class for custom observers |
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| `ToolCallFormatter` | Base class for custom tool formatters |
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| `CommandHandler` | Base class for custom slash commands |
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## Architecture
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The console follows a unidirectional data flow:
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```
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AgentRunner → Observers → StateDriver → AppState → Textual UI
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↑
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User Input (app.py)
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```
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- **AgentRunner** streams responses from the agent and dispatches events to observers.
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- **Observers** process events (text chunks, tool calls, errors) and update the state driver.
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- **StateDriver** (`IUXStateDriver`) mutates `HarnessAppState` and notifies the UI.
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- **Textual App** reads state and syncs widgets on each notification.
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### Key Design Choices
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| Concern | Approach |
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|---------|----------|
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| Rendering | Textual widgets + Rich markup (no manual ANSI) |
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| State | Single `HarnessAppState` dataclass, mutated by driver |
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| Streaming text | Truncate-and-rewrite on RichLog for flicker-free updates |
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| Extensibility | Custom observers, formatters, and commands via base classes |
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| Follow-up questions | Observer returns `FollowUpQuestion` → UI shows prompt/choices |
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## Dependencies
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- `textual` — TUI framework
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- `rich` — Text formatting
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- `agent-framework` — Core agent framework
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