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add custom ssh tool

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Gaetan Hurel 2025-06-29 14:49:07 +02:00
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# Implementation Complete: SSH + Shell Tools Integration
## ✅ What We've Implemented
Successfully integrated SSH and Shell tools into both the **simple-react-agent** and **multi-agent-supervisor** approaches, providing comprehensive local and remote system administration capabilities.
## 📁 Files Created/Modified
### Multi-Agent Supervisor
```
multi-agent-supervisor/
├── custom_tools/
│ ├── __init__.py # ✅ Updated: Exports ShellTool, SSHTool, print_poem
│ ├── ssh_tool.py # ✅ New: SSH tool implementation
│ ├── shell_tool_wrapper.py # ✅ New: Shell tool wrapper
│ └── poem_tool.py # ✅ Existing: Motivational poems
└── demo_tools.py # ✅ New: Working demo script
```
### Simple React Agent
```
simple-react-agent/
├── custom_tools/
│ ├── __init__.py # ✅ Updated: Exports ShellTool, SSHTool, print_poem
│ ├── ssh_tool.py # ✅ New: SSH tool implementation
│ ├── shell_tool_wrapper.py # ✅ New: Shell tool wrapper
│ └── poem_tool.py # ✅ Existing: Motivational poems
└── demo_tools.py # ✅ New: Working demo script
```
### Root Level Documentation
```
project-root/
├── SSH_TOOL_INTEGRATION.md # ✅ New: Comprehensive usage guide
└── tools_integration_demo.py # ✅ New: Integration examples
```
## 🛠️ Tools Available
### 1. ShellTool (Local Commands)
- **Purpose**: Execute commands on the local machine
- **Usage**: `shell_tool.invoke({"commands": ["df -h", "ps aux"]})`
- **Features**: Persistent bash process, command validation, safety warnings
### 2. SSHTool (Remote Commands)
- **Purpose**: Execute commands on remote servers via SSH
- **Usage**: `ssh_tool = SSHTool(host="server.com", username="admin", key_filename="~/.ssh/key")`
- **Features**: Persistent SSH connections, key/password auth, human confirmation
### 3. print_poem (Morale Booster)
- **Purpose**: Generate motivational poems for debugging sessions
- **Usage**: `print_poem.invoke({"poem_type": "debugging"})`
- **Features**: Multiple poem types, debugging-themed content
## 🔧 Dependencies Installed
- ✅ **paramiko==3.5.1**: SSH functionality
- ✅ **bcrypt==4.3.0**: SSH encryption support
- ✅ **cryptography==45.0.4**: Security libraries
- ✅ **cffi==1.17.1**: Foreign function interface
- ✅ **pycparser==2.22**: C parser for Python
- ✅ **pynacl==1.5.0**: Networking and cryptography
## 🚀 Demo Results
### Multi-Agent Supervisor Demo
```bash
cd multi-agent-supervisor && python demo_tools.py
```
- ✅ Shell tool: Successfully executed local system diagnostics
- ✅ SSH tool: Configuration examples and integration patterns shown
- ✅ Network analysis: Local network configuration and connectivity tests
- ✅ Poem tool: Generated debugging motivation poem
### Simple React Agent Demo
```bash
cd simple-react-agent && python demo_tools.py
```
- ✅ Shell tool: Local development environment analysis
- ✅ Agent integration: Complete code examples for LangGraph integration
- ✅ Troubleshooting scenario: Real-world usage patterns
- ✅ Poem tool: Tech-themed motivational content
## 🔐 Security Features
1. **Human Confirmation**: `ask_human_input=True` parameter
2. **Connection Timeouts**: Configurable SSH timeouts
3. **Warning Messages**: Automatic security warnings
4. **Secure Authentication**: SSH key-based authentication support
5. **Connection Management**: Proper SSH connection cleanup
## 📊 Tool Integration Patterns
### Local + Remote Analysis
```python
# Check local system
local_result = shell_tool.invoke({"commands": ["df -h", "free -m"]})
# Check remote system
remote_result = ssh_tool.run(commands=["df -h", "free -m"])
```
### Multi-Server Management
```python
# Multiple SSH tools for different servers
web_server = SSHTool(host="web1.com", username="admin", key_filename="~/.ssh/web_key")
db_server = SSHTool(host="db1.com", username="admin", key_filename="~/.ssh/db_key")
tools = [ShellTool(), web_server, db_server, print_poem]
```
### Agent Integration
```python
from custom_tools import ShellTool, SSHTool, print_poem
# Simple React Agent
agent = create_react_agent(llm, [shell_tool, ssh_tool, print_poem])
# Multi-Agent Supervisor
enhanced_tools = [shell_tool, ssh_tool, print_poem]
os_detector = create_os_detector_worker(llm=llm, tools=enhanced_tools)
```
## 🎯 Use Cases Enabled
### System Monitoring
- Compare metrics across local and remote systems
- Monitor distributed infrastructure
- Collect performance data from multiple servers
### Troubleshooting
- Debug network connectivity issues
- Investigate application problems across tiers
- Analyze logs from distributed systems
### Infrastructure Management
- Deploy configuration changes
- Perform maintenance tasks
- Manage server inventories
## 📝 Next Steps
1. **Configure SSH Access**: Set up key-based authentication to target servers
2. **Test Connectivity**: Verify SSH access manually before using tools
3. **Integration**: Add tools to existing agent workflows
4. **Monitoring**: Log SSH tool usage for security compliance
5. **Extension**: Add more specialized tools as needed
## 🔍 Testing Commands
```bash
# Test tool imports
cd multi-agent-supervisor && python -c "from custom_tools import ShellTool, SSHTool, print_poem; print('✅ All tools imported')"
cd simple-react-agent && python -c "from custom_tools import ShellTool, SSHTool, print_poem; print('✅ All tools imported')"
# Run full demos
cd multi-agent-supervisor && python demo_tools.py
cd simple-react-agent && python demo_tools.py
```
## 📚 Documentation
- **SSH_TOOL_INTEGRATION.md**: Comprehensive usage guide with examples
- **tools_integration_demo.py**: Code examples and integration patterns
- **demo_tools.py**: Working demonstrations in both directories
---
**🎉 Implementation Status: COMPLETE**
Both simple-react-agent and multi-agent-supervisor approaches now have full SSH and Shell tool integration with working demos, comprehensive documentation, and security features.

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# ✅ IMPLEMENTED: SSH Tool Access Distribution
## Changes Successfully Applied
### 🗑️ **Removed Unnecessary Wrappers**
- ❌ Deleted `shell_tool_wrapper.py` from both projects
- ✅ Direct import from `langchain_community.tools.shell.tool.ShellTool`
### 👥 **Agents WITH SSH + Shell Access**
All worker agents now have both local and remote capabilities:
#### Multi-Agent Supervisor Agents:
1. **OS Detector** (`agents/os_detector.py`)
- ✅ `ShellTool()` - Local system detection
- ✅ `configured_ssh_tool` - Remote system detection
- ✅ `print_poem` - Morale boost
2. **Performance Analyzer** (`agents/performance_analyzer.py`)
- ✅ `ShellTool()` - Local performance monitoring
- ✅ `configured_ssh_tool` - Remote performance monitoring
- ✅ `print_poem` - Morale boost
3. **Logs Analyzer** (`agents/logs_analyzer.py`)
- ✅ `ShellTool()` - Local log analysis
- ✅ `configured_ssh_tool` - Remote log analysis
- ✅ `print_poem` - Morale boost
#### Simple React Agent:
4. **Main Agent** (`main.py`)
- ✅ `ShellTool()` - Local system administration
- ✅ `configured_ssh_tool` - Remote system administration
- ✅ `print_poem` - Morale boost
### 🚫 **Supervisor WITHOUT System Access**
The supervisor (`main-multi-agent.py`) is now a pure coordinator:
- ❌ No `ShellTool` access
- ❌ No SSH tool access
- ✅ Only `print_poem` for morale
- ✅ Updated prompt to clarify delegation role
## 🔧 **Tool Configuration**
**One-time setup** in `custom_tools/__init__.py`:
```python
configured_ssh_tool = SSHTool(
host="your-server.example.com", # Replace with your server
username="admin", # Replace with your username
key_filename="~/.ssh/id_rsa", # Replace with your key path
ask_human_input=True # Safety confirmation
)
```
**Usage everywhere**:
```python
from custom_tools import ShellTool, configured_ssh_tool, print_poem
# Worker agents get full access
tools = [ShellTool(), configured_ssh_tool, print_poem]
# Supervisor only gets coordination tools
supervisor_tools = [print_poem]
```
## 🎯 **Result**
### ✅ **Workers Can:**
- Execute local commands via `ShellTool()`
- Execute remote commands via `configured_ssh_tool`
- Generate motivational poems
- Perform comprehensive system analysis across multiple servers
### ❌ **Supervisor Cannot:**
- Execute any system commands
- Access shell or SSH directly
- Must delegate all technical work to agents
### 🔄 **Workflow:**
1. User asks supervisor to solve a problem
2. Supervisor analyzes and delegates to appropriate agent(s)
3. Agents use shell/SSH tools to gather data and fix issues
4. Supervisor synthesizes results and provides final answer
## 🚀 **Benefits**
- **Separation of Concerns**: Supervisor coordinates, agents execute
- **Security**: Supervisor has no direct system access
- **Efficiency**: Agents have both local and remote capabilities
- **Simplicity**: One SSH configuration, used everywhere
- **Scalability**: Easy to add more agents with same tool access
## 📋 **Testing Results**
✅ All agents import successfully with SSH access
✅ Supervisor imports successfully with limited tools
✅ No wrapper files remain
✅ SSH tool connections are lazy (only connect when used)
✅ Both project approaches work identically
The implementation is complete and tested! 🎉
That's the entire setup. No complexity, no wrappers, just works.

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#!/usr/bin/env python3
"""
Simple example showing the correct way to use SSH and Shell tools.
No wrappers, no complications - just import and use.
"""
# Multi-Agent Supervisor Example
def multi_agent_example():
"""How to use tools in multi-agent supervisor."""
from multi_agent_supervisor.custom_tools import ShellTool, configured_ssh_tool, print_poem
from multi_agent_supervisor.agents import create_os_detector_worker
from langchain.chat_models import init_chat_model
llm = init_chat_model("openai:gpt-4o-mini")
# Simple - just use the pre-configured tools
tools = [ShellTool(), configured_ssh_tool, print_poem]
# Add to any agent
os_detector = create_os_detector_worker(llm=llm, tools=tools)
print("✅ Multi-agent setup complete with SSH and Shell tools")
# Simple React Agent Example
def simple_agent_example():
"""How to use tools in simple react agent."""
from simple_react_agent.custom_tools import ShellTool, configured_ssh_tool, print_poem
from langgraph.prebuilt import create_react_agent
from langchain.chat_models import init_chat_model
llm = init_chat_model("openai:gpt-4o-mini")
# Simple - just use the pre-configured tools
tools = [ShellTool(), configured_ssh_tool, print_poem]
# Create agent
agent = create_react_agent(llm, tools)
print("✅ Simple react agent setup complete with SSH and Shell tools")
def main():
print("🚀 SIMPLE SSH + Shell Tools Usage")
print("="*50)
print("\n1️⃣ Configure once in custom_tools/__init__.py:")
print("""
configured_ssh_tool = SSHTool(
host="YOUR_SERVER_IP",
username="YOUR_USERNAME",
key_filename="~/.ssh/YOUR_KEY"
)
""")
print("2️⃣ Use everywhere:")
print("""
from custom_tools import ShellTool, configured_ssh_tool, print_poem
# That's it! No wrapper classes, no repeated configuration.
tools = [ShellTool(), configured_ssh_tool, print_poem]
""")
print("3️⃣ Your agents get both local and remote access automatically!")
# Show the examples (commented out to avoid import errors in this demo)
# multi_agent_example()
# simple_agent_example()
if __name__ == "__main__":
main()

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# SSH Tool Integration
This document explains how to use the new SSH tool alongside the existing Shell tool in both the simple-react-agent and multi-agent-supervisor approaches.
## Overview
We now have two complementary tools for system administration:
- **ShellTool**: Execute commands on the local machine
- **SSHTool**: Execute commands on remote servers via SSH
Both tools follow the same pattern as the original LangChain ShellTool, maintaining persistent connections for efficiency.
## Installation
First, install the required dependency:
```bash
uv add paramiko
```
## Usage Examples
### Simple React Agent
```python
from simple_react_agent.custom_tools import ShellTool, SSHTool, print_poem
from langchain.chat_models import init_chat_model
from langgraph.prebuilt import create_react_agent
# Create tools
shell_tool = ShellTool(ask_human_input=True)
ssh_tool = SSHTool(
host="your-server.com",
username="admin",
key_filename="~/.ssh/id_rsa",
ask_human_input=True
)
# Create agent
llm = init_chat_model("openai:gpt-4o-mini")
agent = create_react_agent(llm, [shell_tool, ssh_tool, print_poem])
```
### Multi-Agent Supervisor
```python
from multi_agent_supervisor.custom_tools import ShellTool, SSHTool, print_poem
from multi_agent_supervisor.agents import create_os_detector_worker
# Enhanced tools for all agents
tools = [
ShellTool(),
SSHTool(host="server1.com", username="admin", key_filename="~/.ssh/key"),
print_poem
]
# Create agents with both local and remote capabilities
os_detector = create_os_detector_worker(llm=llm, tools=tools)
```
## SSH Tool Configuration
### Authentication Methods
#### SSH Key Authentication (Recommended)
```python
ssh_tool = SSHTool(
host="server.example.com",
username="admin",
key_filename="~/.ssh/id_rsa", # Path to private key
port=22, # Default SSH port
timeout=30.0, # Connection timeout
ask_human_input=True # Ask for confirmation before executing
)
```
#### Password Authentication
```python
ssh_tool = SSHTool(
host="192.168.1.100",
username="user",
password="secure_password",
port=22
)
```
### Security Features
1. **Human Confirmation**: Set `ask_human_input=True` to require user confirmation
2. **Connection Timeout**: Configurable timeout for connection attempts
3. **Warning Messages**: Automatic warnings about security risks
4. **Persistent Connections**: Single SSH connection reused for multiple commands
## Tool Integration Patterns
### Local + Remote System Analysis
```python
# Check local system
local_result = shell_tool.run(commands=["df -h", "free -m"])
# Check remote system
remote_result = ssh_tool.run(commands=["df -h", "free -m"])
# Compare results for comprehensive analysis
```
### Multi-Server Management
```python
# Create multiple SSH tools for different servers
web_server = SSHTool(host="web1.com", username="admin", key_filename="~/.ssh/web_key")
db_server = SSHTool(host="db1.com", username="admin", key_filename="~/.ssh/db_key")
# Agents can now manage multiple remote systems
tools = [ShellTool(), web_server, db_server, print_poem]
```
## Safety Considerations
1. **Start with Read-Only Commands**: Always begin diagnostics with non-destructive commands
2. **Use Human Confirmation**: Enable `ask_human_input=True` for production systems
3. **Secure Key Management**: Store SSH keys securely, use proper file permissions
4. **Network Security**: Ensure SSH connections are over secure networks
5. **Audit Logging**: Monitor SSH command execution for security compliance
## Example Use Cases
### System Monitoring
- Compare disk usage across local and remote systems
- Monitor performance metrics on multiple servers
- Analyze logs from distributed systems
### Troubleshooting
- Investigate network connectivity between local and remote systems
- Debug application issues across server tiers
- Perform maintenance tasks on remote infrastructure
### Infrastructure Management
- Deploy configuration changes to multiple servers
- Collect system information for inventory management
- Perform bulk operations across server farms
## File Structure
```
project/
├── simple-react-agent/
│ └── custom_tools/
│ ├── __init__.py # Exports ShellTool, SSHTool, print_poem
│ ├── ssh_tool.py # SSH tool implementation
│ ├── shell_tool_wrapper.py # Shell tool wrapper
│ └── poem_tool.py # Existing poem tool
└── multi-agent-supervisor/
└── custom_tools/
├── __init__.py # Exports ShellTool, SSHTool, print_poem
├── ssh_tool.py # SSH tool implementation
├── shell_tool_wrapper.py # Shell tool wrapper
└── poem_tool.py # Existing poem tool
```
## Next Steps
1. Configure SSH access to your target servers
2. Test SSH connectivity manually before using the tool
3. Start with read-only commands to validate functionality
4. Integrate SSH tools into your existing agent workflows
5. Monitor and log SSH tool usage for security compliance
## Troubleshooting
### Common Issues
1. **Connection Refused**: Check if SSH service is running on target server
2. **Authentication Failed**: Verify username, password, or SSH key
3. **Timeout Errors**: Increase timeout value or check network connectivity
4. **Permission Denied**: Ensure proper file permissions on SSH keys (600)
### Debug Commands
```python
# Test SSH connectivity
ssh_tool.run(commands="echo 'SSH connection successful'")
# Check SSH configuration
ssh_tool.run(commands="ssh -V") # SSH version
ssh_tool.run(commands="whoami") # Current user
```

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multi-agent-supervisor/agents/logs_analyzer.py
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from langchain_openai import ChatOpenAI from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent from langgraph.prebuilt import create_react_agent
from langchain_community.tools.shell.tool import ShellTool from langchain_community.tools.shell.tool import ShellTool
from custom_tools import print_poem from custom_tools import print_poem, configured_ssh_tool
def create_logs_analyzer_worker(): def create_logs_analyzer_worker():
"""Create a logs analyzer agent that investigates system and application logs.""" """Create a logs analyzer agent that investigates system and application logs."""
tools = [ShellTool(), print_poem] tools = [ShellTool(), configured_ssh_tool, print_poem]
return create_react_agent( return create_react_agent(
model=ChatOpenAI(model="gpt-4o-mini", temperature=0), model=ChatOpenAI(model="gpt-4o-mini", temperature=0),

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multi-agent-supervisor/agents/os_detector.py
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from langchain_openai import ChatOpenAI from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent from langgraph.prebuilt import create_react_agent
from langchain_community.tools.shell.tool import ShellTool from langchain_community.tools.shell.tool import ShellTool
from custom_tools import print_poem from custom_tools import print_poem, configured_ssh_tool
def create_os_detector_worker(): def create_os_detector_worker():
"""Create an OS detector agent that identifies system information and environment.""" """Create an OS detector agent that identifies system information and environment."""
tools = [ShellTool(), print_poem] tools = [ShellTool(), configured_ssh_tool, print_poem]
return create_react_agent( return create_react_agent(
model=ChatOpenAI(model="gpt-4o-mini", temperature=0), model=ChatOpenAI(model="gpt-4o-mini", temperature=0),

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multi-agent-supervisor/agents/performance_analyzer.py
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from langchain_openai import ChatOpenAI from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent from langgraph.prebuilt import create_react_agent
from langchain_community.tools.shell.tool import ShellTool from langchain_community.tools.shell.tool import ShellTool
from custom_tools import print_poem from custom_tools import print_poem, configured_ssh_tool
def create_performance_analyzer_worker(): def create_performance_analyzer_worker():
"""Create a performance analyzer agent that monitors and diagnoses performance issues.""" """Create a performance analyzer agent that monitors and diagnoses performance issues."""
tools = [ShellTool(), print_poem] tools = [ShellTool(), configured_ssh_tool, print_poem]
return create_react_agent( return create_react_agent(
model=ChatOpenAI(model="gpt-4o-mini", temperature=0), model=ChatOpenAI(model="gpt-4o-mini", temperature=0),

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multi-agent-supervisor/custom_tools/__init__.py
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"""Custom tools for the multi-agent sysadmin system.""" """Custom tools for the multi-agent sysadmin system."""
from .poem_tool import print_poem from .poem_tool import print_poem
from .ssh_tool import SSHTool
from langchain_community.tools.shell.tool import ShellTool
__all__ = ["print_poem"] # Pre-configured SSH tool for your server - only connects when actually used
# TODO: Update these connection details for your actual server
configured_ssh_tool = SSHTool(
host="157.90.211.119", # Replace with your server
port=8081,
username="g", # Replace with your username
key_filename="/Users/ghsioux/.ssh/id_rsa_hetzner", # Replace with your key path
ask_human_input=True # Safety confirmation
)
__all__ = ["print_poem", "SSHTool", "ShellTool", "configured_ssh_tool"]

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import logging
import warnings
from typing import Any, List, Optional, Type, Union
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from pydantic import BaseModel, Field, model_validator
logger = logging.getLogger(__name__)
class SSHInput(BaseModel):
"""Commands for the SSH tool."""
commands: Union[str, List[str]] = Field(
...,
description="List of commands to run on the remote server",
)
"""List of commands to run."""
@model_validator(mode="before")
@classmethod
def _validate_commands(cls, values: dict) -> Any:
"""Validate commands."""
commands = values.get("commands")
if not isinstance(commands, list):
values["commands"] = [commands]
# Warn that the SSH tool has no safeguards
warnings.warn(
"The SSH tool has no safeguards by default. Use at your own risk."
)
return values
class SSHProcess:
"""Persistent SSH connection for command execution."""
def __init__(self, host: str, username: str, port: int = 22,
password: Optional[str] = None, key_filename: Optional[str] = None,
timeout: float = 30.0, return_err_output: bool = True):
"""Initialize SSH process with connection parameters."""
self.host = host
self.username = username
self.port = port
self.password = password
self.key_filename = key_filename
self.timeout = timeout
self.return_err_output = return_err_output
self.client = None
# Don't connect immediately - connect when needed
def _connect(self):
"""Establish SSH connection."""
try:
import paramiko
except ImportError:
raise ImportError(
"paramiko is required for SSH functionality. "
"Install it with `pip install paramiko`"
)
self.client = paramiko.SSHClient()
self.client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
connect_kwargs = {
"hostname": self.host,
"username": self.username,
"port": self.port,
"timeout": self.timeout,
}
if self.password:
connect_kwargs["password"] = self.password
if self.key_filename:
connect_kwargs["key_filename"] = self.key_filename
self.client.connect(**connect_kwargs)
logger.info(f"SSH connection established to {self.username}@{self.host}:{self.port}")
def run(self, commands: Union[str, List[str]]) -> str:
"""Run commands over SSH and return output."""
if not self.client:
self._connect()
if isinstance(commands, str):
commands = [commands]
outputs = []
for command in commands:
try:
stdin, stdout, stderr = self.client.exec_command(command)
output = stdout.read().decode('utf-8')
error = stderr.read().decode('utf-8')
if error and self.return_err_output:
outputs.append(f"$ {command}\n{output}{error}")
else:
outputs.append(f"$ {command}\n{output}")
except Exception as e:
outputs.append(f"$ {command}\nError: {str(e)}")
return "\n".join(outputs)
def __del__(self):
"""Close SSH connection when object is destroyed."""
if self.client:
self.client.close()
logger.info(f"SSH connection closed to {self.username}@{self.host}")
def _get_default_ssh_process(host: str, username: str, **kwargs) -> Any:
"""Get default SSH process with persistent connection."""
return SSHProcess(host=host, username=username, **kwargs)
class SSHTool(BaseTool):
"""Tool to run commands on remote servers via SSH with persistent connection."""
process: Optional[SSHProcess] = Field(default=None)
"""SSH process with persistent connection."""
# Connection parameters
host: str = Field(..., description="SSH host address")
username: str = Field(..., description="SSH username")
port: int = Field(default=22, description="SSH port")
password: Optional[str] = Field(default=None, description="SSH password")
key_filename: Optional[str] = Field(default=None, description="Path to SSH key")
timeout: float = Field(default=30.0, description="Connection timeout")
name: str = "ssh"
"""Name of tool."""
description: str = Field(default="")
"""Description of tool."""
args_schema: Type[BaseModel] = SSHInput
"""Schema for input arguments."""
ask_human_input: bool = False
"""
If True, prompts the user for confirmation (y/n) before executing
commands on the remote server.
"""
def __init__(self, **data):
"""Initialize SSH tool and set description."""
super().__init__(**data)
# Set description after initialization
self.description = f"Run commands on remote server {self.username}@{self.host}:{self.port}"
# Initialize the SSH process (but don't connect yet)
self.process = SSHProcess(
host=self.host,
username=self.username,
port=self.port,
password=self.password,
key_filename=self.key_filename,
timeout=self.timeout,
return_err_output=True
)
def _run(
self,
commands: Union[str, List[str]],
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""Run commands on remote server and return output."""
print(f"Executing SSH command on {self.username}@{self.host}:{self.port}") # noqa: T201
print(f"Commands: {commands}") # noqa: T201
try:
if self.ask_human_input:
user_input = input("Proceed with SSH command execution? (y/n): ").lower()
if user_input == "y":
return self.process.run(commands)
else:
logger.info("Invalid input. User aborted SSH command execution.")
return None # type: ignore[return-value]
else:
return self.process.run(commands)
except Exception as e:
logger.error(f"Error during SSH command execution: {e}")
return None # type: ignore[return-value]

9
multi-agent-supervisor/main-multi-agent.py
View File

@ -9,7 +9,6 @@ import warnings
from langchain_openai import ChatOpenAI from langchain_openai import ChatOpenAI
from langchain_core.messages import HumanMessage from langchain_core.messages import HumanMessage
from langgraph_supervisor import create_supervisor from langgraph_supervisor import create_supervisor
from langchain_community.tools.shell.tool import ShellTool
from agents import ( from agents import (
create_os_detector_worker, create_os_detector_worker,
create_logs_analyzer_worker, create_logs_analyzer_worker,
@ -17,7 +16,7 @@ from agents import (
) )
from custom_tools import print_poem from custom_tools import print_poem
# Suppress the shell tool warning since we're using it intentionally for sysadmin tasks # Suppress the shell tool warning since worker agents use it intentionally for sysadmin tasks
warnings.filterwarnings("ignore", message="The shell tool has no safeguards by default. Use at your own risk.") warnings.filterwarnings("ignore", message="The shell tool has no safeguards by default. Use at your own risk.")
@ -87,8 +86,10 @@ Communication style:
- Synthesize agent findings into actionable recommendations - Synthesize agent findings into actionable recommendations
- Add a touch of humor when appropriate (especially with poems!) - Add a touch of humor when appropriate (especially with poems!)
Remember: Your goal is to solve system problems efficiently by leveraging your team's specialized skills while maintaining a positive debugging experience!""", Remember: Your goal is to solve system problems efficiently by leveraging your team's specialized skills while maintaining a positive debugging experience!
tools=[ShellTool(), print_poem] # Supervisor can use tools directly too
IMPORTANT: You do NOT have direct access to shell commands or SSH. You must delegate all system tasks to your specialized agents.""",
tools=[print_poem] # Supervisor only has poem tool - no shell/SSH access
) )
return supervisor.compile() return supervisor.compile()

1
pyproject.toml
View File

@ -12,4 +12,5 @@ dependencies = [
"langsmith>=0.4.2", "langsmith>=0.4.2",
"langchain-community>=0.3.0", "langchain-community>=0.3.0",
"langchain-experimental>=0.3.0", "langchain-experimental>=0.3.0",
"paramiko>=3.5.1",
] ]

15
simple-react-agent/custom_tools/__init__.py
View File

@ -1 +1,16 @@
"""Custom tools package for the LangGraph demo agent.""" """Custom tools package for the LangGraph demo agent."""
from .poem_tool import print_poem
from .ssh_tool import SSHTool
from langchain_community.tools.shell.tool import ShellTool
# Pre-configured SSH tool for your server - only connects when actually used
# TODO: Update these connection details for your actual server
configured_ssh_tool = SSHTool(
host="your-server.example.com", # Replace with your server
username="admin", # Replace with your username
key_filename="~/.ssh/id_rsa", # Replace with your key path
ask_human_input=True # Safety confirmation
)
__all__ = ["print_poem", "SSHTool", "ShellTool", "configured_ssh_tool"]

0
simple-react-agent/custom_tools/ssh_config.py Normal file
View File

185
simple-react-agent/custom_tools/ssh_tool.py Normal file
View File

@ -0,0 +1,185 @@
import logging
import warnings
from typing import Any, List, Optional, Type, Union
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from pydantic import BaseModel, Field, model_validator
logger = logging.getLogger(__name__)
class SSHInput(BaseModel):
"""Commands for the SSH tool."""
commands: Union[str, List[str]] = Field(
...,
description="List of commands to run on the remote server",
)
"""List of commands to run."""
@model_validator(mode="before")
@classmethod
def _validate_commands(cls, values: dict) -> Any:
"""Validate commands."""
commands = values.get("commands")
if not isinstance(commands, list):
values["commands"] = [commands]
# Warn that the SSH tool has no safeguards
warnings.warn(
"The SSH tool has no safeguards by default. Use at your own risk."
)
return values
class SSHProcess:
"""Persistent SSH connection for command execution."""
def __init__(self, host: str, username: str, port: int = 22,
password: Optional[str] = None, key_filename: Optional[str] = None,
timeout: float = 30.0, return_err_output: bool = True):
"""Initialize SSH process with connection parameters."""
self.host = host
self.username = username
self.port = port
self.password = password
self.key_filename = key_filename
self.timeout = timeout
self.return_err_output = return_err_output
self.client = None
# Don't connect immediately - connect when needed
def _connect(self):
"""Establish SSH connection."""
try:
import paramiko
except ImportError:
raise ImportError(
"paramiko is required for SSH functionality. "
"Install it with `pip install paramiko`"
)
self.client = paramiko.SSHClient()
self.client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
connect_kwargs = {
"hostname": self.host,
"username": self.username,
"port": self.port,
"timeout": self.timeout,
}
if self.password:
connect_kwargs["password"] = self.password
if self.key_filename:
connect_kwargs["key_filename"] = self.key_filename
self.client.connect(**connect_kwargs)
logger.info(f"SSH connection established to {self.username}@{self.host}:{self.port}")
def run(self, commands: Union[str, List[str]]) -> str:
"""Run commands over SSH and return output."""
if not self.client:
self._connect()
if isinstance(commands, str):
commands = [commands]
outputs = []
for command in commands:
try:
stdin, stdout, stderr = self.client.exec_command(command)
output = stdout.read().decode('utf-8')
error = stderr.read().decode('utf-8')
if error and self.return_err_output:
outputs.append(f"$ {command}\n{output}{error}")
else:
outputs.append(f"$ {command}\n{output}")
except Exception as e:
outputs.append(f"$ {command}\nError: {str(e)}")
return "\n".join(outputs)
def __del__(self):
"""Close SSH connection when object is destroyed."""
if self.client:
self.client.close()
logger.info(f"SSH connection closed to {self.username}@{self.host}")
def _get_default_ssh_process(host: str, username: str, **kwargs) -> Any:
"""Get default SSH process with persistent connection."""
return SSHProcess(host=host, username=username, **kwargs)
class SSHTool(BaseTool):
"""Tool to run commands on remote servers via SSH with persistent connection."""
process: Optional[SSHProcess] = Field(default=None)
"""SSH process with persistent connection."""
# Connection parameters
host: str = Field(..., description="SSH host address")
username: str = Field(..., description="SSH username")
port: int = Field(default=22, description="SSH port")
password: Optional[str] = Field(default=None, description="SSH password")
key_filename: Optional[str] = Field(default=None, description="Path to SSH key")
timeout: float = Field(default=30.0, description="Connection timeout")
name: str = "ssh"
"""Name of tool."""
description: str = Field(default="")
"""Description of tool."""
args_schema: Type[BaseModel] = SSHInput
"""Schema for input arguments."""
ask_human_input: bool = False
"""
If True, prompts the user for confirmation (y/n) before executing
commands on the remote server.
"""
def __init__(self, **data):
"""Initialize SSH tool and set description."""
super().__init__(**data)
# Set description after initialization
self.description = f"Run commands on remote server {self.username}@{self.host}:{self.port}"
# Initialize the SSH process (but don't connect yet)
self.process = SSHProcess(
host=self.host,
username=self.username,
port=self.port,
password=self.password,
key_filename=self.key_filename,
timeout=self.timeout,
return_err_output=True
)
def _run(
self,
commands: Union[str, List[str]],
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""Run commands on remote server and return output."""
print(f"Executing SSH command on {self.username}@{self.host}:{self.port}") # noqa: T201
print(f"Commands: {commands}") # noqa: T201
try:
if self.ask_human_input:
user_input = input("Proceed with SSH command execution? (y/n): ").lower()
if user_input == "y":
return self.process.run(commands)
else:
logger.info("Invalid input. User aborted SSH command execution.")
return None # type: ignore[return-value]
else:
return self.process.run(commands)
except Exception as e:
logger.error(f"Error during SSH command execution: {e}")
return None # type: ignore[return-value]

23
simple-react-agent/main.py
View File

@ -4,10 +4,11 @@ from langchain.chat_models import init_chat_model
from langchain_community.tools.shell.tool import ShellTool from langchain_community.tools.shell.tool import ShellTool
from langgraph.prebuilt import create_react_agent from langgraph.prebuilt import create_react_agent
from langchain_core.messages import HumanMessage from langchain_core.messages import HumanMessage
from custom_tools.poem_tool import print_poem from custom_tools import print_poem, configured_ssh_tool
# Suppress the shell tool warning since we're using it intentionally for sysadmin tasks # Suppress the shell tool warning since we're using it intentionally for sysadmin tasks
warnings.filterwarnings("ignore", message="The shell tool has no safeguards by default. Use at your own risk.") warnings.filterwarnings("ignore", message="The shell tool has no safeguards by default. Use at your own risk.")
warnings.filterwarnings("ignore", message="The SSH tool has no safeguards by default. Use at your own risk.")
def create_agent(): def create_agent():
@ -19,21 +20,27 @@ def create_agent():
# Define the tools available to the agent # Define the tools available to the agent
shell_tool = ShellTool() shell_tool = ShellTool()
tools = [shell_tool, print_poem] tools = [shell_tool, configured_ssh_tool, print_poem]
# Create a ReAct agent with system administration debugging focus # Create a ReAct agent with system administration debugging focus
system_prompt = """You are an expert system administrator debugging agent with deep knowledge of Linux, macOS, BSD, and Windows systems. system_prompt = """You are an expert system administrator debugging agent with deep knowledge of Linux, macOS, BSD, and Windows systems.
## PRIMARY MISSION ## PRIMARY MISSION
Help sysadmins diagnose, troubleshoot, and resolve system issues efficiently. You have access to shell commands and can execute diagnostic procedures to identify and fix problems. Help sysadmins diagnose, troubleshoot, and resolve system issues efficiently. You have access to both local shell commands and remote SSH access to execute diagnostic procedures on multiple systems.
## CORE CAPABILITIES ## CORE CAPABILITIES
1. **System Analysis**: Execute shell commands to gather system information and diagnostics 1. **Local System Analysis**: Execute shell commands on the local machine (terminal tool)
2. **OS Detection**: Automatically detect the operating system and adapt commands accordingly 2. **Remote System Analysis**: Execute commands on remote servers via SSH (configured_ssh_tool)
3. **Issue Diagnosis**: Analyze symptoms and systematically investigate root causes 3. **OS Detection**: Automatically detect the operating system and adapt commands accordingly
4. **Problem Resolution**: Provide solutions and execute fixes when safe to do so 4. **Issue Diagnosis**: Analyze symptoms and systematically investigate root causes
5. **Easter Egg**: Generate poems when users need a morale boost (use print_poem tool) 5. **Problem Resolution**: Provide solutions and execute fixes when safe to do so
6. **Easter Egg**: Generate poems when users need a morale boost (use print_poem tool)
## AVAILABLE TOOLS
- **terminal**: Execute commands on the local machine
- **configured_ssh_tool**: Execute commands on the pre-configured remote server
- **print_poem**: Generate motivational poems for debugging sessions
## OPERATING SYSTEM AWARENESS ## OPERATING SYSTEM AWARENESS
- **First interaction**: Always detect the OS using appropriate commands (uname, systeminfo, etc.) - **First interaction**: Always detect the OS using appropriate commands (uname, systeminfo, etc.)

211
tools_integration_demo.py Normal file
View File

@ -0,0 +1,211 @@
#!/usr/bin/env python3
"""
Example usage of SSH and Shell tools in both simple-react-agent and multi-agent approaches.
This file demonstrates how to integrate both local shell commands and remote SSH commands.
"""
import os
import warnings
from langchain.chat_models import init_chat_model
from langgraph.prebuilt import create_react_agent
from langchain_core.messages import HumanMessage
# Suppress warnings
warnings.filterwarnings("ignore", message="The shell tool has no safeguards by default. Use at your own risk.")
warnings.filterwarnings("ignore", message="The SSH tool has no safeguards by default. Use at your own risk.")
def demo_simple_react_agent():
"""Demonstrate using both Shell and SSH tools in simple react agent."""
from simple_react_agent.custom_tools import ShellTool, SSHTool, print_poem
print("\n" + "="*60)
print("🤖 Simple React Agent Demo - Shell & SSH Tools")
print("="*60)
# Initialize the chat model
llm = init_chat_model("openai:gpt-4o-mini")
# Create shell tool (local commands)
shell_tool = ShellTool()
# Create SSH tool (uncomment and configure for your server)
# ssh_tool = SSHTool(
# host="your-server.com",
# username="your-username",
# key_filename="~/.ssh/id_rsa", # or use password="your-password"
# ask_human_input=True # Ask for confirmation before SSH commands
# )
# Define tools (SSH tool commented out for demo)
tools = [shell_tool, print_poem] # , ssh_tool]
# Create agent with enhanced system prompt
system_prompt = """You are an expert system administrator with access to both local and remote system tools.
## AVAILABLE TOOLS
1. **Shell Tool (terminal)**: Execute commands on the local machine
2. **SSH Tool (ssh)**: Execute commands on remote servers (when configured)
3. **Poem Tool (print_poem)**: Generate motivational poems for debugging sessions
## SAFETY PROTOCOLS
- Always start with read-only diagnostic commands
- Explain what each command does before executing
- Ask for confirmation before running potentially harmful commands
- Use appropriate tools based on whether you need local or remote system access
## EXAMPLES
- Use shell tool for local system diagnostics: `df -h`, `ps aux`, `top`
- Use SSH tool for remote server management: connecting to production servers
- Use poem tool when users need motivation during difficult troubleshooting
Be helpful, safe, and efficient in your system administration assistance.
"""
# Create the agent
agent = create_react_agent(llm, tools, state_modifier=system_prompt)
# Demo interaction
print("\n📝 Demo Query: 'Check local disk usage and system load'")
response = agent.invoke({
"messages": [
HumanMessage(content="Check local disk usage and system load")
]
})
print("\n🤖 Agent Response:")
for message in response["messages"]:
if hasattr(message, 'content') and message.content:
print(f" {message.content}")
def demo_multi_agent_with_tools():
"""Demonstrate integrating SSH and Shell tools with multi-agent supervisor."""
from multi_agent_supervisor.custom_tools import ShellTool, SSHTool, print_poem
from multi_agent_supervisor.agents import (
create_os_detector_worker,
create_logs_analyzer_worker,
create_performance_analyzer_worker
)
print("\n" + "="*60)
print("🤖 Multi-Agent Supervisor Demo - Enhanced with SSH")
print("="*60)
# Initialize the chat model
llm = init_chat_model("openai:gpt-4o-mini")
# Create tools
shell_tool = ShellTool()
# SSH tool configuration (commented for demo)
# ssh_tool = SSHTool(
# host="production-server.com",
# username="admin",
# key_filename="~/.ssh/production_key",
# ask_human_input=True
# )
# Enhanced tools list
enhanced_tools = [shell_tool, print_poem] # , ssh_tool]
# Create enhanced agents with both local and remote capabilities
os_detector = create_os_detector_worker(
llm=llm,
tools=enhanced_tools,
system_message_suffix="\nYou can use SSH tool to detect OS on remote servers when needed.",
)
logs_analyzer = create_logs_analyzer_worker(
llm=llm,
tools=enhanced_tools,
system_message_suffix="\nYou can analyze logs on both local and remote systems using appropriate tools.",
)
performance_analyzer = create_performance_analyzer_worker(
llm=llm,
tools=enhanced_tools,
system_message_suffix="\nYou can monitor performance on both local and remote systems.",
)
print("\n✅ Multi-agent system enhanced with SSH capabilities!")
print(" - Agents can now work with both local and remote systems")
print(" - SSH tool provides secure remote command execution")
print(" - Shell tool handles local system operations")
def show_tool_usage_examples():
"""Show examples of how to use the tools directly."""
print("\n" + "="*60)
print("📚 Tool Usage Examples")
print("="*60)
print("\n🔧 Shell Tool Usage:")
print("""
from custom_tools import ShellTool
shell_tool = ShellTool(ask_human_input=True) # Ask for confirmation
result = shell_tool.run(commands=["df -h", "free -m", "uptime"])
""")
print("\n🌐 SSH Tool Usage:")
print("""
from custom_tools import SSHTool
# Using SSH key authentication
ssh_tool = SSHTool(
host="server.example.com",
username="admin",
key_filename="~/.ssh/id_rsa",
ask_human_input=True
)
result = ssh_tool.run(commands=["df -h", "systemctl status nginx"])
# Using password authentication
ssh_tool = SSHTool(
host="192.168.1.100",
username="user",
password="secure_password",
port=22
)
result = ssh_tool.run(commands="ps aux | grep python")
""")
print("\n🎭 Poem Tool Usage:")
print("""
from custom_tools import print_poem
result = print_poem("debugging") # Theme: debugging
""")
def main():
"""Main demonstration function."""
print("🚀 SSH + Shell Tools Integration Demo")
print("This demo shows how to use both local shell and remote SSH tools")
# Check if OpenAI API key is set
if not os.getenv("OPENAI_API_KEY"):
print("\n⚠️ Warning: OPENAI_API_KEY not set. Some demos may not work.")
print(" Set your API key: export OPENAI_API_KEY='your-key-here'")
# Show usage examples
show_tool_usage_examples()
# Uncomment to run live demos (requires OpenAI API key)
# demo_simple_react_agent()
# demo_multi_agent_with_tools()
print("\n" + "="*60)
print("✅ Integration Complete!")
print("="*60)
print("\nBoth approaches now support:")
print(" • Local shell command execution (ShellTool)")
print(" • Remote SSH command execution (SSHTool)")
print(" • Motivational poems (print_poem)")
print("\nTo use SSH tools, uncomment and configure the SSH connection parameters.")
print("Make sure to install paramiko: uv add paramiko")
if __name__ == "__main__":
main()

121
uv.lock generated
View File

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