# Admin Shell Session Tracking MCP Tools - Implementation Complete
## Summary
Successfully implemented MCP tools for tracking admin shell session lifecycle events in Session-Buddy. The implementation includes JWT authentication, Pydantic validation, and integration with the existing SessionLifecycleManager.
## Files Created/Modified
### New Files
1. **`/Users/les/Projects/session-buddy/session_buddy/mcp/tools/session/admin_shell_tracking_tools.py`**
- Created new MCP tools registration module
- Implements `track_session_start` and `track_session_end` tools
- JWT authentication via `@require_auth()` decorator
- Comprehensive docstrings with examples
- Type-safe parameter handling with Pydantic models
- DI container integration for singleton management
### Modified Files
2. **`/Users/les/Projects/session-buddy/session_buddy/mcp/tools/__init__.py`**
- Added import for `register_admin_shell_tracking_tools`
- Added to `__all__` exports list
3. **`/Users/les/Projects/session-buddy/session_buddy/mcp/server.py`**
- Added import for `register_admin_shell_tracking_tools`
- Added registration call: `register_admin_shell_tracking_tools(mcp)`
## Tool Specifications
### Tool 1: `track_session_start`
**Purpose**: Track admin shell session start events from Mahavishnu, Session-Buddy, Oneiric, etc.
**Parameters**:
- `event_version` (str): Event format version (must be "1.0")
- `event_id` (str): Unique event identifier (UUID v4)
- `event_type` (str): Event type discriminator (must be "session_start")
- `component_name` (str): Component name (e.g., "mahavishnu", "session-buddy")
- `shell_type` (str): Shell class name (e.g., "MahavishnuShell")
- `timestamp` (str): ISO 8601 timestamp in UTC
- `pid` (int): Process ID (1-4194304)
- `user` (dict[str, str]): User info with keys: username, home
- `hostname` (str): System hostname
- `environment` (dict[str, str]): Environment info with keys: python_version, platform, cwd
- `metadata` (dict[str, Any] | None): Optional additional metadata
- `token` (str | None): JWT authentication token (required when SESSION_BUDDY_SECRET is set)
**Returns**:
```python
{
"session_id": str | None, # Unique session identifier (None if failed)
"status": str, # "tracked" or "error"
"error": str | None # Error message if status is "error"
}
```
**Example Usage**:
```python
result = await track_session_start(
event_version="1.0",
event_id="550e8400-e29b-41d4-a716-446655440000",
event_type="session_start",
component_name="mahavishnu",
shell_type="MahavishnuShell",
timestamp="2026-02-06T12:34:56.789Z",
pid=12345,
user={"username": "john", "home": "/home/john"},
hostname="server01",
environment={
"python_version": "3.13.0",
"platform": "Linux-6.5.0-x86_64",
"cwd": "/home/john/projects/mahavishnu"
},
token="eyJ..."
)
```
### Tool 2: `track_session_end`
**Purpose**: Track admin shell session end events.
**Parameters**:
- `session_id` (str): Session ID from SessionStartEvent response
- `timestamp` (str): ISO 8601 timestamp in UTC
- `event_type` (str): Event type discriminator (must be "session_end")
- `metadata` (dict[str, Any] | None): Optional additional metadata (e.g., exit_reason)
- `token` (str | None): JWT authentication token (required when SESSION_BUDDY_SECRET is set)
**Returns**:
```python
{
"session_id": str, # Session ID that was updated
"status": str, # "ended", "error", or "not_found"
"error": str | None # Error message if status is "error"
}
```
**Example Usage**:
```python
result = await track_session_end(
session_id="mahavishnu-20260206-123456",
timestamp="2026-02-06T13:45:67.890Z",
event_type="session_end",
metadata={"exit_reason": "user_exit"},
token="eyJ..."
)
```
## Authentication
Both tools require JWT authentication when `SESSION_BUDDY_SECRET` environment variable is set:
1. **Generate JWT Secret**:
```bash
python -c 'import secrets; print(secrets.token_urlsafe(32))'
```
2. **Set Environment Variable**:
```bash
export SESSION_BUDDY_SECRET="<generated-secret>"
```
3. **Generate JWT Token** (for testing):
```python
import jwt
from datetime import datetime, timedelta, UTC
token = jwt.encode(
{
"user_id": "test_user",
"exp": datetime.now(tz=UTC) + timedelta(minutes=60),
"iat": datetime.now(tz=UTC),
"type": "access",
"iss": "session-buddy",
},
SECRET,
algorithm="HS256"
)
```
The `@require_auth()` decorator:
- Validates JWT tokens before executing tool functions
- Returns error messages if authentication fails
- Allows anonymous access when SESSION_BUDDY_SECRET is not set (development mode)
## Event Validation
All events are validated using Pydantic models:
### SessionStartEvent Validation
- UUID v4 format validation for event_id
- ISO 8601 timestamp validation (with 'T' separator required)
- Component name format validation (alphanumeric, underscore, hyphen only)
- PID range validation (1-4194304)
- Type coercion for all fields
### SessionEndEvent Validation
- ISO 8601 timestamp validation (with 'T' separator required)
- Type coercion for all fields
## Integration with Existing Components
### SessionTracker
- Wraps SessionLifecycleManager for session operations
- Generates session IDs in format: `{component_name}-{timestamp_YYYYMMDD-HHMMSS}`
- Handles errors gracefully with structured error responses
- Comprehensive logging for debugging
### SessionLifecycleManager
- `initialize_session()`: Creates session record
- `end_session()`: Updates session record on exit
- Returns structured results with success/error status
### DI Container
- SessionTracker registered as singleton
- SessionLifecycleManager registered as singleton
- Automatic dependency resolution
## Error Handling
Both tools implement comprehensive error handling:
1. **Pydantic Validation Errors**: Caught and returned as error results
2. **SessionTracker Errors**: Caught and returned with error details
3. **Authentication Errors**: Handled by @require_auth() decorator
4. **Unexpected Exceptions**: Logged with traceback and returned as error
Error response format:
```python
{
"session_id": None, # or session_id for track_session_end
"status": "error",
"error": "Detailed error message"
}
```
## Logging
Comprehensive logging at multiple levels:
- **INFO**: Successful session tracking events
- **WARNING**: Authentication failures, session not found
- **ERROR**: Session tracking failures, exceptions
- **DEBUG**: Detailed event data for troubleshooting
Log format includes:
- Session ID
- Component name
- Shell type
- PID
- User information
- Hostname
- Working directory
## Testing
### Syntax Validation
```bash
python -m py_compile session_buddy/mcp/tools/session/admin_shell_tracking_tools.py
# ✓ Syntax check passed
```
### Import Validation
```bash
python -c "
from session_buddy.mcp.tools.session.admin_shell_tracking_tools import register_admin_shell_tracking_tools
print('✓ Import successful')
"
# Note: Requires duckdb dependency to be installed
```
### Test Script
Created `/Users/les/Projects/session-buddy/test_admin_shell_tracking.py` for comprehensive testing:
- Tool registration verification
- Event model validation
- SessionTracker functionality
- Mock lifecycle manager integration
## Security Considerations
1. **JWT Authentication**: HS256 algorithm with configurable secret
2. **Input Validation**: All inputs validated via Pydantic
3. **Path Validation**: Working directory validated by SessionLifecycleManager
4. **Error Messages**: Sanitized to prevent information leakage
5. **Logging**: No sensitive data in logs (no passwords, tokens, etc.)
## Dependencies
### Required
- `session_buddy.core.SessionLifecycleManager`
- `session_buddy.mcp.auth.require_auth`
- `session_buddy.mcp.event_models.*`
- `session_buddy.mcp.session_tracker.SessionTracker`
- `session_buddy.di` (dependency injection)
### Optional
- `SESSION_BUDDY_SECRET`: JWT secret for authentication
- `duckdb`: Required by other tools in session-buddy (not directly by this module)
## Next Steps
1. **Integration Testing**: Test with actual admin shells (Mahavishnu, Session-Buddy, Oneiric)
2. **Documentation**: Add to Session-Buddy MCP tools documentation
3. **Monitoring**: Add metrics for session tracking (success rate, error rate, etc.)
4. **Session Database**: Implement persistent session storage for session_id lookups
5. **Cross-Project Integration**: Test with Mahavishnu admin shell integration
## Notes
- The implementation follows Session-Buddy MCP tool patterns
- Compatible with existing SessionLifecycleManager API
- No breaking changes to existing functionality
- Graceful degradation when authentication is disabled
- Type-safe with comprehensive Pydantic validation
## Files Summary
```
session_buddy/mcp/tools/session/admin_shell_tracking_tools.py (NEW)
session_buddy/mcp/tools/__init__.py (MODIFIED)
session_buddy/mcp/server.py (MODIFIED)
test_admin_shell_tracking.py (NEW - test script)
```
Total lines of code: ~350 (including docstrings and comments)
Test coverage: Manual test script provided
Documentation: Comprehensive docstrings with examples
