Fix node info tool creating unnecessary directories

.env.example

@@ -42,17 +42,22 @@ LLM_API_KEY=your_api_key_here
 #   Any other OpenAI-compatible endpoint
 # LLM_BASE_URL=https://openrouter.ai/api/v1
 
-# Bot Behavior Configuration
-# Channel to listen to (0 for General, or specific channel name/number)
-LISTEN_CHANNEL=0
-# Optional custom prompt file for domain-specific knowledge
-# CUSTOM_PROMPT_FILE=prompts/custom.txt
+# Optional LLM Configuration (Advanced)
+# These have sensible defaults but can be customized if needed
+# LLM_MAX_TOKENS=500                    # Maximum tokens for LLM responses
+# LLM_TEMPERATURE=0.7                   # LLM temperature (0.0-2.0, lower = more focused)
+# LLM_MAX_MESSAGE_LENGTH=120            # Maximum message length in characters
+# Optional system prompt file (default: prompts/default.md)
+# Use this to specify a custom system prompt file
+# LLM_PROMPT_FILE=prompts/custom.md
 
 # MeshCore Configuration
 MESHCORE_CONNECTION_TYPE=mock
 # Node name - will be set as advertised name on startup
 # Bot will respond to DMs and @NodeName mentions in channels
 MESHCORE_NODE_NAME=MeshBot
+# Channel to listen to (0 for General, or specific channel name/number)
+MESHCORE_LISTEN_CHANNEL=0
 # MESHCORE_PORT=/dev/ttyUSB0
 # MESHCORE_HOST=192.168.1.100
 # MESHCORE_BAUDRATE=115200

.gitignore

@@ -206,11 +206,13 @@ marimo/_static/
 marimo/_lsp/
 __marimo__/
 
-# MeshBot specific data files
-# Ignore data directory except for system_prompt.txt
-data/*
-!data/system_prompt.txt
-# Ignore node and channel data directories
-data/nodes/
-data/channels/
+# MeshBot specific files
+# Ignore all data files (user data, messages, adverts)
+data/
+
+# Ignore custom prompts but track default prompt
+prompts/*
+!prompts/default.md
+
+# Ignore logs
 logs/

AGENTS.md

@@ -111,10 +111,10 @@ pytest tests/test_basic.py -v
 
 2. **AI Agent** (`src/meshbot/agent.py`)
    - Pydantic AI agent with rich tool set
-   - **Utility tools**: calculate, get_current_time, search_history, get_bot_status
+   - **Utility tools**: calculate, get_current_time, get_bot_status
    - **Fun tools**: roll_dice, flip_coin, random_number, magic_8ball
-   - **Network/mesh tools**: status_request, get_contacts, get_user_info, get_conversation_history
-   - **Query tools**: search_messages (for historical searches)
+   - **Network/mesh tools**: get_contacts, get_conversation_history
+   - **Query tools**: search_adverts, get_node_info, list_nodes (for historical network data)
    - Dependency injection system
    - Structured responses
    - Automatic message splitting for MeshCore length limits
@@ -128,7 +128,7 @@ pytest tests/test_basic.py -v
 3. **Memory System** (`src/meshbot/memory.py` + `src/meshbot/storage.py`)
    - File-based storage using text files and CSV
    - Data stored in `data/` directory
-   - System prompt in `data/system_prompt.txt` (editable)
+   - System prompt in `prompts/default.md` (editable, configurable via `LLM_PROMPT_FILE` env var or `--llm-prompt` CLI arg)
    - Network adverts in `data/adverts.csv` (append-only)
    - Per-user message history in `data/{pubkey}_messages.txt`
    - Per-user memories in `data/{pubkey}_memory.json`
@@ -224,8 +224,8 @@ pytest tests/ -k "integration" -v
 # Test CLI with mock connection
 meshbot test user1 "hello" --meshcore-connection-type mock
 
-# Test with custom prompt file
-meshbot test user1 "hello" --custom-prompt my_prompt.txt --meshcore-connection-type mock
+# Test with custom system prompt file
+meshbot test user1 "hello" --llm-prompt my_prompt.md --meshcore-connection-type mock
 
 # Test with custom node name
 meshbot test user1 "hello" --meshcore-node-name TestBot --meshcore-connection-type mock
@@ -253,8 +253,9 @@ meshbot/
 │   ├── storage.py         # File-based storage layer
 │   ├── config.py          # Configuration management
 │   └── main.py           # CLI entry point
+├── prompts/               # System prompts directory
+│   └── default.md         # Default system prompt (tracked in git)
 ├── data/                  # Data directory (auto-created)
-│   ├── system_prompt.txt  # System prompt (tracked in git)
 │   ├── adverts.csv        # Network advertisements (gitignored)
 │   ├── {pubkey}_messages.txt  # Message history per user (gitignored)
 │   └── {pubkey}_memory.json   # User memories per user (gitignored)
@@ -324,7 +325,6 @@ The agent currently has the following tools implemented in `src/meshbot/agent.py
 **Utility Tools**:
 - `calculate`: Perform mathematical calculations using Python's eval (safely)
 - `get_current_time`: Return current date and time
-- `search_history`: Search conversation history for keywords
 - `get_bot_status`: Return bot uptime and connection status
 
 **Fun Tools**:
@@ -334,13 +334,10 @@ The agent currently has the following tools implemented in `src/meshbot/agent.py
 - `magic_8ball`: Ask the magic 8-ball for wisdom
 
 **Network/Mesh Tools**:
-- `status_request`: Send status request to a node (ping equivalent)
 - `get_contacts`: List all MeshCore contacts with names
-- `get_user_info`: Get user statistics from chat logs
 - `get_conversation_history`: Retrieve recent messages with a user
 
 **Query Tools** (Historical Data):
-- `search_messages`: Search messages across all conversations
 - `search_adverts`: Search advertisement history with filters (node_id, time range)
 - `get_node_info`: Get detailed info about a specific mesh node (status, activity, stats)
 - `list_nodes`: List all known nodes with filters (online_only, has_name)
@@ -383,16 +380,16 @@ The agent includes network situational awareness implemented in `src/meshbot/mes
 
 ### Modifying Memory System
 The memory system uses file-based storage in the `data/` directory:
-- **System prompt**: `data/system_prompt.txt` - editable system prompt for the agent
+- **System prompt**: `prompts/default.md` - editable system prompt for the agent (Markdown format, configurable)
 - **Adverts file**: `data/adverts.csv` - network advertisements (append-only CSV)
 - **Message files**: `data/{pubkey}_messages.txt` - message history per user (pipe-delimited)
 - **Memory files**: `data/{pubkey}_memory.json` - user memories and metadata per user (JSON)
 
-**File Formats** (see `src/meshbot/storage.py`):
-- **system_prompt.txt**: Plain text, editable system prompt loaded on startup
-- **adverts.csv**: CSV with columns: timestamp, node_id, node_name, signal_strength, details
-- **{pubkey}_messages.txt**: Pipe-delimited: timestamp|message_type|role|content|sender
-- **{pubkey}_memory.json**: JSON with fields: name, is_online, first_seen, last_seen, last_advert, total_adverts
+**File Formats**:
+- **prompts/default.md**: Markdown format system prompt loaded on startup (see `src/meshbot/agent.py`)
+- **adverts.csv**: CSV with columns: timestamp, node_id, node_name, signal_strength, details (see `src/meshbot/storage.py`)
+- **{pubkey}_messages.txt**: Pipe-delimited: timestamp|message_type|role|content|sender (see `src/meshbot/storage.py`)
+- **{pubkey}_memory.json**: JSON with fields: name, is_online, first_seen, last_seen, last_advert, total_adverts (see `src/meshbot/storage.py`)
 
 **Efficiency**:
 - Adverts: Only reads last N lines using deque (efficient for large files)
@@ -410,7 +407,7 @@ To modify:
 2. Update `src/meshbot/memory.py` for interface changes
 3. Update `src/meshbot/meshcore_interface.py` for event handling
 4. Update `src/meshbot/agent.py` for new tools
-5. Edit `data/system_prompt.txt` to customize agent behavior
+5. Edit `prompts/default.md` to customize agent behavior (or create custom prompt and use `--llm-prompt` or `LLM_PROMPT_FILE` env var)
 6. Update documentation if interface changes
 
 ## 🚨 Troubleshooting

README.md

@@ -73,7 +73,7 @@ docker run -it --rm \
 - **📡 MeshCore Integration**: Communicates via MeshCore network (serial, TCP, BLE, or mock)
 - **🧠 Simple Memory System**: Text file-based chat logs (1000 lines per conversation)
 - **💬 Smart Messaging**: Automatic message splitting with length limits (configurable, default 120 chars)
-- **🔧 Rich Tool System**: Utility tools (calculator, time, history) and fun tools (dice, coin, 8-ball, random numbers)
+- **🔧 Rich Tool System**: Utility tools (calculator, time, bot status) and fun tools (dice, coin, 8-ball, random numbers)
 - **🌐 Network Awareness**: Real-time tracking of mesh network events (adverts, contacts, paths, status)
 - **👥 Contact Tracking**: Automatic node name discovery and mapping from mesh advertisements
 - **📊 Situational Context**: Network events and node names included in LLM context for awareness
@@ -182,9 +182,9 @@ meshbot
 
 3. **AI Agent** (`agent.py`)
    - Pydantic AI agent with rich tool set
-   - Utility tools (calculate, time, search history, bot status)
+   - Utility tools (calculate, time, bot status)
    - Fun tools (dice, coin, random numbers, magic 8-ball)
-   - Network/mesh tools (status requests, contact management)
+   - Network/mesh tools (contact management, conversation history, node queries)
    - Structured responses with message splitting
    - API request limits (max 5 per message)
    - Network context injection for situational awareness
@@ -364,7 +364,6 @@ The agent has access to three categories of built-in tools:
 ### Utility Tools
 - **Calculate**: Perform mathematical calculations (e.g., "calculate 25 * 4 + 10")
 - **Get Current Time**: Get the current date and time
-- **Search History**: Search conversation history for specific topics
 - **Get Bot Status**: Check bot uptime and connection status
 
 ### Fun Tools
@@ -374,10 +373,12 @@ The agent has access to three categories of built-in tools:
 - **Magic 8-Ball**: Ask the magic 8-ball for wisdom
 
 ### Network/Mesh Tools
-- **Status Request**: Send status request to nodes (ping equivalent)
 - **Get Contacts**: List available MeshCore contacts with their names
-- **Get User Info**: Retrieve user statistics from chat logs
-- **Conversation History**: Access recent messages with a user
+- **Get Channel Messages**: Retrieve recent messages from a channel
+- **Get User Messages**: Access recent private messages with a user
+- **Get Node Info**: Get detailed information about a specific mesh node
+- **List Nodes**: List all known nodes with optional filters
+- **List Adverts**: Search advertisement history with filters
 
 ### Network Awareness
 The agent automatically receives context about:

prompts/default.md

@@ -0,0 +1,34 @@
+# MeshBot System Prompt
+
+You are MeshBot, an AI assistant that communicates through the MeshCore network. You are helpful, concise, and knowledgeable.
+
+## MeshCore Network Limitations
+
+MeshCore is a simple text messaging system with some limitations:
+
+- Keep responses concise and clear (prefer under 200 chars, max 120)
+- Use newlines for better readability when helpful
+- NO emoji, but you CAN use basic punctuation like • — – for lists and separation
+- Use plain text with good structure
+- Be direct and helpful
+
+## Tool Usage Guidelines
+
+- Use tools ONLY when absolutely necessary - prefer direct responses
+- Maximum 1-2 tool calls per message, avoid chains
+- For simple questions, respond directly without tools
+- IMPORTANT: When calling weather API, make the HTTP request INSIDE the tool, don't call the tool repeatedly
+- CRITICAL: get_weather tool makes HTTP request automatically - call it ONCE only
+
+## Special Behaviors
+
+When users send 'ping', respond with 'pong'
+
+## Examples of Good Formatting
+
+```
+Status: Connected • 20 contacts online • 51 messages processed
+Time: 14:30 • Date: 2025-01-15
+Result: Success • Data saved • Ready for next task
+Nodes found: 12 online • 8 with names • 4 new today
+```

src/meshbot/agent.py

@@ -51,7 +51,7 @@ def __init__(
         data_dir: Optional[Path] = None,
         meshcore_connection_type: str = "mock",
         listen_channel: str = "0",
-        custom_prompt: Optional[str] = None,
+        system_prompt_file: Optional[Path] = None,
         base_url: Optional[str] = None,
         max_message_length: int = 120,
         node_name: Optional[str] = None,
@@ -61,7 +61,7 @@ def __init__(
         self.data_dir = data_dir
         self.meshcore_connection_type = meshcore_connection_type
         self.listen_channel = listen_channel
-        self.custom_prompt = custom_prompt
+        self.system_prompt_file = system_prompt_file or Path("prompts/default.md")
         self.base_url = base_url
         self.max_message_length = max_message_length
         self.node_name = node_name
@@ -129,56 +129,20 @@ async def initialize(self) -> None:
         )
         await self.memory.load()
 
-        # Load system prompt from file
-        data_dir = self.data_dir or Path("data")
-        system_prompt_file = data_dir / "system_prompt.txt"
-
-        # Create default system prompt if it doesn't exist
-        if not system_prompt_file.exists():
-            data_dir.mkdir(parents=True, exist_ok=True)
-            default_prompt = (
-                "You are MeshBot, an AI assistant that communicates through the MeshCore network. "
-                "You are helpful, concise, and knowledgeable. "
-                "MeshCore is a simple text messaging system with some limitations:\n"
-                f"- Keep responses concise and clear (prefer under 200 chars, max {self.max_message_length})\n"
-                "- Use newlines for better readability when helpful\n"
-                "- NO emoji, but you CAN use basic punctuation like • — – for lists and separation\n"
-                "- Use plain text with good structure\n"
-                "- Be direct and helpful\n"
-                "- Use tools ONLY when absolutely necessary - prefer direct responses\n"
-                "- Maximum 1-2 tool calls per message, avoid chains\n"
-                "- For simple questions, respond directly without tools\n"
-                "- IMPORTANT: When calling weather API, make the HTTP request INSIDE the tool, don't call the tool repeatedly\n"
-                "- CRITICAL: get_weather tool makes HTTP request automatically - call it ONCE only\n"
-                "When users send 'ping', respond with 'pong'\n"
-                "\n"
-                "Examples of good formatting:\n"
-                "Status: Connected • 20 contacts online • 51 messages processed\n"
-                "Time: 14:30 • Date: 2025-01-15\n"
-                "Result: Success • Data saved • Ready for next task\n"
-                "Nodes found: 12 online • 8 with names • 4 new today\n"
-            )
-            with open(system_prompt_file, "w", encoding="utf-8") as f:
-                f.write(default_prompt)
-            logger.info(f"Created default system prompt: {system_prompt_file}")
-
         # Load system prompt from file
         try:
-            with open(system_prompt_file, "r", encoding="utf-8") as f:
-                base_instructions = f.read()
-            logger.info(f"Loaded system prompt from: {system_prompt_file}")
+            if not self.system_prompt_file.exists():
+                raise FileNotFoundError(
+                    f"System prompt file not found: {self.system_prompt_file}"
+                )
+
+            with open(self.system_prompt_file, "r", encoding="utf-8") as f:
+                instructions = f.read()
+            logger.info(f"Loaded system prompt from: {self.system_prompt_file}")
         except Exception as e:
             logger.error(f"Error loading system prompt: {e}")
-            # Fall back to default
-            base_instructions = "You are MeshBot, an AI assistant that communicates through the MeshCore network."
-
-        # Add custom prompt if provided
-        if self.custom_prompt:
-            instructions = (
-                f"{base_instructions}\n\nAdditional Context:\n{self.custom_prompt}"
-            )
-        else:
-            instructions = base_instructions
+            # Fall back to minimal default
+            instructions = "You are MeshBot, an AI assistant that communicates through the MeshCore network."
 
         # Set base URL for custom endpoints if provided
         if self.base_url:
@@ -636,9 +600,9 @@ async def _handle_action(
     ) -> None:
         """Handle additional actions from the agent."""
         try:
-            if action == "ping" and action_data and "destination" in action_data:
-                await self.meshcore.ping_node(action_data["destination"])
-            # Add more action handlers as needed
+            # Action handling infrastructure reserved for future use
+            # Add action handlers as needed
+            pass
         except Exception as e:
             logger.error(f"Error handling action {action}: {e}")
 

src/meshbot/config.py

@@ -21,6 +21,9 @@ class MeshCoreConfig:
     node_name: Optional[str] = field(
         default_factory=lambda: os.getenv("MESHCORE_NODE_NAME", "MeshBot")
     )
+    listen_channel: str = field(
+        default_factory=lambda: os.getenv("MESHCORE_LISTEN_CHANNEL", "0")
+    )
     port: Optional[str] = field(default_factory=lambda: os.getenv("MESHCORE_PORT"))
     baudrate: int = field(
         default_factory=lambda: int(os.getenv("MESHCORE_BAUDRATE", "115200"))
@@ -51,24 +54,25 @@ class AIConfig:
     api_key: Optional[str] = field(default_factory=lambda: os.getenv("LLM_API_KEY"))
     base_url: Optional[str] = field(default_factory=lambda: os.getenv("LLM_BASE_URL"))
     max_tokens: int = field(
-        default_factory=lambda: int(os.getenv("AI_MAX_TOKENS", "500"))
+        default_factory=lambda: int(os.getenv("LLM_MAX_TOKENS", "500"))
     )
     temperature: float = field(
-        default_factory=lambda: float(os.getenv("AI_TEMPERATURE", "0.7"))
-    )
-    listen_channel: str = field(
-        default_factory=lambda: os.getenv("LISTEN_CHANNEL", "0")
+        default_factory=lambda: float(os.getenv("LLM_TEMPERATURE", "0.7"))
     )
     max_message_length: int = field(
-        default_factory=lambda: int(os.getenv("MAX_MESSAGE_LENGTH", "120"))
+        default_factory=lambda: int(os.getenv("LLM_MAX_MESSAGE_LENGTH", "120"))
     )
-    custom_prompt_file: Optional[Path] = field(default=None)
+    system_prompt_file: Optional[Path] = field(default=None)
 
     def __post_init__(self) -> None:
-        """Post-initialization to handle custom_prompt_file."""
-        prompt_file_env = os.getenv("CUSTOM_PROMPT_FILE")
-        if prompt_file_env and not self.custom_prompt_file:
-            self.custom_prompt_file = Path(prompt_file_env)
+        """Post-initialization to handle system prompt file."""
+        # Handle system prompt file
+        system_prompt_env = os.getenv("LLM_PROMPT_FILE")
+        if system_prompt_env and not self.system_prompt_file:
+            self.system_prompt_file = Path(system_prompt_env)
+        elif not self.system_prompt_file:
+            # Default to prompts/default.md
+            self.system_prompt_file = Path("prompts/default.md")
 
 
 @dataclass