# Hermes Tool Implementation Guide

## Overview

This document explains how to create a Hermes tool that integrates with external services (like Pi agent).

---

## What is a Hermes Tool?

A Hermes tool is a Python function that:
1. **Hermes calls** when the agent decides to use it
2. **Receives parameters** from the LLM
3. **Does work** (calls external services, runs commands, etc.)
4. **Returns a string** that Hermes shows to the agent

---

## Tool Structure

Every Hermes tool needs:

```python
def my_tool(param1: str, param2: Optional[int] = None) -> str:
    """
    Tool description that LLM sees.
    
    Args:
        param1: Description
        param2: Description
    
    Returns:
        What the tool returns
    """
    # Do work here
    return "result"

def check_my_tool_requirements() -> bool:
    """Check if tool can be used (e.g., external service available)."""
    return True

# Schema for LLM
MY_TOOL_SCHEMA = {
    "name": "my_tool",
    "description": "What the tool does",
    "parameters": {
        "type": "object",
        "properties": {
            "param1": {"type": "string", "description": "..."},
        },
        "required": ["param1"]
    }
}

# Register
registry.register(
    name="my_tool",
    toolset="my_toolset",  # Group in Hermes config
    schema=MY_TOOL_SCHEMA,
    handler=lambda args, **kw: my_tool(**args),
    check_fn=check_my_tool_requirements,
    emoji="📦",
)
```

---

## Key Components

### 1. Function Handler
```python
def my_tool(param1: str, ...) -> str:
    # Work
    return "result as string"
```

### 2. Requirements Check
```python
def check_my_tool_requirements() -> bool:
    # Check external service, API key, etc.
    return True  # or False if not available
```

### 3. Schema (JSON)
```python
MY_TOOL_SCHEMA = {
    "name": "tool_name",
    "description": "What it does (LLM reads this!)",
    "parameters": {
        "type": "object",
        "properties": {
            "param1": {"type": "string", "description": "..."},
        },
        "required": ["param1"]
    }
}
```

### 4. Registry
```python
registry.register(
    name="tool_name",
    toolset="toolset_name",  # Enable in config
    schema=SCHEMA,
    handler=lambda args, **kw: my_tool(**args),
    check_fn=check_requirements,
    emoji="📦",
)
```

---

## Example: Pi Agent Tool

See `pi_agent_tool.py` for a working example.

### Flow
```
User: "Fix the bug in auth.py"
  ↓
Hermes Agent decides to use pi_agent tool
  ↓
Calls pi_agent_tool(message="Fix the bug...")
  ↓
Tool calls HTTP server (Level 4)
  ↓
HTTP server runs Pi agent
  ↓
Returns response to Hermes
  ↓
Hermes shows to user
```

---

## How to Use

### 1. Start Pi Server (Level 4)
```bash
npx tsx level4.ts
```

### 2. Add Tool to Hermes

Option A: Copy to Hermes tools
```bash
cp pi_agent_tool.py ~/.hermes/hermes-agent/tools/
```

Option B: Add to Python path or custom tools directory

### 3. Enable in Hermes Config

```yaml
# In config.yaml
toolset:
  - pi_agent
```

### 4. Use in Conversation

```
User: Can you fix the bug in auth.py?

Hermes: *uses pi_agent tool*

Tool result: Fixed the bug by changing line 42...
```

---

## Tool Best Practices

### 1. Always Return a String
```python
# Good
return "Result: found 5 files"

# Bad  
return {"result": "found 5"}  # JSON must be stringified
```

### 2. Handle Errors Gracefully
```python
try:
    # Do work
    return result
except Exception as e:
    return f"Error: {str(e)}"
```

### 3. Add Requirements Check
```python
def check_requirements() -> bool:
    # Check API keys, services, etc.
    return api_key is not None
```

### 4. Write Clear Descriptions
```python
# Good - LLM knows when to use
"""
Analyze the codebase for security vulnerabilities.
Use after finding potential issues.
"""

# Bad - LLM confused
"""Do something"""
```

### 5. Keep Schema Simple
- Only include needed parameters
- Mark required parameters
- Add descriptions for each parameter

---

## Testing

### 1. Test the Function Directly
```python
# In Python
result = pi_agent_tool(message="Say hello")
print(result)
```

### 2. Test with curl
```bash
curl -X POST http://localhost:3000/message \
  -d '{"message": "Hello"}'
```

### 3. Test with Hermes
- Add to toolset
- Ask Hermes to use the tool

---

## Troubleshooting

### Tool Not Found
- Check tool is in `~/.hermes/hermes-agent/tools/`
- Check it's in the toolset config

### Tool Not Available
- Check `check_*_requirements()` returns `True`
- Check external service is running

### Tool Called but No Response
- Check tool returns a string
- Check for exceptions in handler

---

## Integration Options: HTTP vs Direct Spawn

There are two ways to integrate Pi agent with Hermes:

### Option 1: HTTP Server (Current Implementation)

```
Hermes → Python Tool → HTTP Request → Node/TS Server → Pi Agent
```

```python
# In tool
import requests
response = requests.post("http://localhost:3000/message", json={"message": "..."})
return response.json()["response"]
```

**Pros:**
- Easy to test/debug (curl, logs)
- Stateful (agent stays alive between calls)
- Reuses connections
- Easier monitoring/rate-limiting

**Cons:**
- More complex (two services)
- HTTP overhead (~50ms per call)
- Server must stay running

### Option 2: Direct Spawn (Alternative)

```
Hermes → Python Tool → Spawn Process → Pi Wrapper
```

```python
# In tool
import subprocess
process = subprocess.Popen(["npx", "tsx", "pi-wrapper.ts", message], 
                           stdout=subprocess.PIPE)
stdout, _ = process.communicate(timeout=300)
return stdout.decode()
```

**Pros:**
- Simpler (one process per call)
- No server to maintain
- Matches Kugetsu's current pattern
- Good for low traffic

**Cons:**
- Slow startup (~100-500ms per call)
- No state between calls
- Harder to debug
- Resource heavy under load

### Comparison Table

| Factor | HTTP Server | Direct Spawn |
|--------|-------------|--------------|
| Latency | ~50ms | ~100-500ms |
| Memory | Persistent (50-100MB) | Per-call |
| State | Yes | No |
| Complexity | Higher | Lower |
| Debugging | Network logs | Process logs |
| Best For | Production | POC/Simple |

### Recommendation

- **High load / Production**: HTTP Server
- **Low load / POC**: Direct Spawn
- **Matches Kugetsu pattern**: Direct Spawn

---

## Files in This Project

| File | Description |
|------|-------------|
| `pi_agent_tool.py` | Working Hermes tool (HTTP approach) |
| `level4.ts` | HTTP server |
| `hermes-tool-guide.md` | This document |