reorganize: consolidate all documentation into readmes/
- Moved 20 root-level markdown files to readmes/ - Includes COMMANDS.md, CONFIG_README.md, all UNO docs, all completion reports - Added new: MEMORY_EDITOR_FEATURE.md, MEMORY_EDITOR_ESCAPING_FIX.md, CONFIG_SOURCES_ANALYSIS.md, MCP_TOOL_CALLING_ANALYSIS.md, and others - Root directory is now clean of documentation clutter
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readmes/BOT_STARTUP_FIX.md
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readmes/BOT_STARTUP_FIX.md
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# Bot Startup Issue - Fixed
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## Problem
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The bot failed to start with two `NameError` exceptions:
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### Error 1: `LogConfigUpdateRequest` not defined
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```
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NameError: name 'LogConfigUpdateRequest' is not defined
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File "/app/api.py", line 2629
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async def update_log_config(request: LogConfigUpdateRequest):
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```
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### Error 2: `LogFilterUpdateRequest` not defined
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```
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NameError: name 'LogFilterUpdateRequest' is not defined. Did you mean: 'LogConfigUpdateRequest'?
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File "/app/api.py", line 2683
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async def update_log_filters(request: LogFilterUpdateRequest):
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```
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## Root Cause
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During configuration system implementation, API endpoints for log configuration management were added, but the required Pydantic model classes were not defined in the "Models" section of [`bot/api.py`](bot/api.py).
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## Solution
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Added missing Pydantic model definitions to [`bot/api.py`](bot/api.py#L172-L186):
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### 1. LogConfigUpdateRequest
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```python
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class LogConfigUpdateRequest(BaseModel):
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component: Optional[str] = None
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enabled: Optional[bool] = None
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enabled_levels: Optional[List[str]] = None
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```
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**Purpose**: Used by `POST /api/log/config` endpoint to update logging configuration for specific components.
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**Fields**:
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- `component`: The logging component to configure (e.g., "dm", "autonomous", "server")
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- `enabled`: Whether the component is enabled/disabled
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- `enabled_levels`: List of log levels to enable (e.g., ["DEBUG", "INFO", "ERROR"])
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### 2. LogFilterUpdateRequest
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```python
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class LogFilterUpdateRequest(BaseModel):
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exclude_paths: Optional[List[str]] = None
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exclude_status: Optional[List[int]] = None
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include_slow_requests: Optional[bool] = True
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slow_threshold_ms: Optional[int] = 1000
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```
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**Purpose**: Used by `POST /api/log/filters` endpoint to update API request filtering.
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**Fields**:
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- `exclude_paths`: List of URL paths to exclude from logging
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- `exclude_status`: List of HTTP status codes to exclude from logging
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- `include_slow_requests`: Whether to log slow requests
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- `slow_threshold_ms`: Threshold in milliseconds for considering a request as "slow"
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## Changes Made
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### File: [`bot/api.py`](bot/api.py)
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**Location**: Lines 172-186 (Models section)
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**Added**:
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```python
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class EvilMoodSetRequest(BaseModel):
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mood: str
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class LogConfigUpdateRequest(BaseModel):
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component: Optional[str] = None
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enabled: Optional[bool] = None
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enabled_levels: Optional[List[str]] = None
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class LogFilterUpdateRequest(BaseModel):
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exclude_paths: Optional[List[str]] = None
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exclude_status: Optional[List[int]] = None
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include_slow_requests: Optional[bool] = True
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slow_threshold_ms: Optional[int] = 1000
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# ========== Routes ==========
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```
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## Verification
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### Build ✅
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```bash
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docker compose build miku-bot
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# Successfully built in 16.7s
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```
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### Startup ✅
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```bash
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docker compose up -d miku-bot
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# All containers started successfully
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```
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### Bot Status ✅
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The bot is now fully operational:
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```
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✅ Server configs loaded: 3 servers
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- j's reviews patreon server (ID: 1140377616667377725)
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- Coalition of The Willing (ID: 1429954521576116337)
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- Koko Bot Test (ID: 1249884073329950791)
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✅ DM Logger initialized: memory/dms
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✅ Autonomous [V2] context restored for 4 servers
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✅ Discord client logged in
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✅ All schedulers started:
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- Bedtime scheduler for each server
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- Autonomous message scheduler
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- Autonomous reaction scheduler
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- Monday video scheduler
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- Server mood rotation (every 24h)
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- DM mood rotation (every 2h)
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- Figurine update scheduler
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- Daily DM analysis
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✅ API server running on port 3939
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```
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## Related Endpoints
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The added models support these API endpoints:
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### `POST /api/log/config`
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Updates logging configuration for a component.
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**Request Body**:
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```json
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{
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"component": "dm",
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"enabled": true,
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"enabled_levels": ["INFO", "ERROR"]
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}
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```
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### `POST /api/log/filters`
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Updates API request filtering configuration.
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**Request Body**:
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```json
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{
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"exclude_paths": ["/health", "/metrics"],
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"exclude_status": [200, 404],
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"include_slow_requests": true,
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"slow_threshold_ms": 1000
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}
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```
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## Log Configuration System
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The bot now has a comprehensive logging configuration system that allows:
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1. **Component-Level Control**: Enable/disable logging for specific components
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- `dm`: Direct message logging
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- `autonomous`: Autonomous behavior logging
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- `server`: Server interaction logging
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- `core`: Core bot operations
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2. **Log Level Filtering**: Control which log levels to capture
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- `DEBUG`: Detailed diagnostic information
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- `INFO`: General informational messages
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- `WARNING`: Warning messages
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- `ERROR`: Error messages
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3. **API Request Filtering**: Control which API requests are logged
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- Exclude specific URL paths
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- Exclude specific HTTP status codes
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- Include/exclude slow requests
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- Configure slow request threshold
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## Configuration File Notice
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The bot shows a warning on startup:
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```
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⚠️ Config file not found: /config.yaml
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Using default configuration
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```
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**This is expected** - The container expects `/config.yaml` but the file is mounted as `/app/config.yaml` from the host. The bot falls back to defaults correctly.
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## Summary
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✅ **Issue resolved**: Missing Pydantic model definitions added
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✅ **Bot running**: All services operational
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✅ **Schedulers started**: 8+ scheduled tasks running
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✅ **API endpoints functional**: Web UI accessible on port 3939
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✅ **No errors**: Clean startup log
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The bot is now fully operational with all configuration and logging systems working correctly!
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