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BREAKTHROUGH: Configuration-driven agent management that scales to 100+ agents ## New System Architecture: - **JSON Configuration Files**: All agents defined in version-controlled JSON - **Dynamic Loading**: populate_agents.py reads from config files automatically - **Zero Code Changes**: Add new agents by creating JSON files only - **Automatic Railway Sync**: Single command ensures database consistency ## File Structure: - agents/configs/categories/categories.json - All categories - agents/configs/agents/*.json - Individual agent configurations - agents/configs/README.md - Complete documentation ## Key Benefits: ✅ **Ultimate Scalability**: Add 1000+ agents without touching code ✅ **Version Control**: All agent definitions tracked in git ✅ **Railway Consistency**: Single command syncs local and production ✅ **Developer Experience**: JSON files are easier than Python commands ✅ **Validation**: Built-in error handling and field validation ✅ **Documentation**: Self-documenting with clear examples ## Migration Path: - Extracted all 6 existing agents to JSON configurations - Updated populate_agents.py to load dynamically from configs - Maintained backward compatibility - Added comprehensive documentation ## Usage: ```bash # Add new agent: Create JSON file in agents/configs/agents/ # Deploy to Railway: python manage.py populate_agents # Result: Agent automatically appears in marketplace ``` This solves the original issue: "if we create another will it show on railway also???" Answer: YES - just create JSON file and run populate_agents\! 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
113 lines
3.4 KiB
Markdown
113 lines
3.4 KiB
Markdown
# Agent Configuration System
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This directory contains JSON configuration files for dynamically creating agents and categories in the Quantum Tasks AI platform.
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## Directory Structure
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```
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agents/configs/
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├── categories/
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│ └── categories.json # All agent categories
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├── agents/
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│ ├── ai-brand-strategist.json # Direct access agent
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│ ├── cybersec-career-navigator.json # Direct access agent
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│ ├── five-whys-analysis.json # Chat webhook agent
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│ ├── job-posting-generator.json # Form webhook agent
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│ ├── pdf-summarizer.json # File upload webhook agent
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│ └── social-ads-generator.json # Form webhook agent
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└── README.md # This file
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```
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## How It Works
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1. **Categories** are defined in `categories/categories.json`
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2. **Agents** are defined in individual JSON files in `agents/`
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3. Run `python manage.py populate_agents` to create all agents from configs
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4. **Adding new agents** is as simple as creating a new JSON file
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## Adding New Agents
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### Step 1: Create JSON Configuration File
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Create a new file in `agents/` directory, e.g., `email-writer.json`:
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```json
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{
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"slug": "email-writer",
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"name": "Email Writer",
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"short_description": "AI-powered professional email writing assistant",
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"description": "Generate professional emails for any purpose with AI assistance.",
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"category": "marketing",
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"price": 3.0,
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"agent_type": "form",
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"system_type": "webhook",
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"form_schema": {
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"fields": [
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{
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"name": "email_type",
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"type": "select",
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"label": "Email Type",
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"required": true,
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"options": [
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{"value": "business", "label": "Business Email"},
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{"value": "marketing", "label": "Marketing Email"}
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]
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}
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]
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},
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"webhook_url": "http://localhost:5678/webhook/email-writer",
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"access_url_name": "",
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"display_url_name": ""
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}
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```
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### Step 2: Run Population Command
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```bash
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python manage.py populate_agents
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```
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### Step 3: Agent Appears Automatically
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The agent will now appear in the marketplace with the configured settings.
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## Agent Types
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### Webhook Agents (N8N Integration)
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- Set `system_type`: `"webhook"`
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- Include detailed `form_schema` with fields
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- Set `webhook_url` to N8N endpoint
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- Leave `access_url_name` and `display_url_name` empty
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### Direct Access Agents (External Forms)
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- Set `system_type`: `"direct_access"`
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- Set `form_schema`: `{"fields": []}`
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- Set `webhook_url` to external form URL (JotForm, etc.)
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- Set `access_url_name`: `"agents:direct_access_handler"`
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- Set `display_url_name`: `"agents:direct_access_display"`
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## Field Types for Webhook Agents
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- `text`: Single-line text input
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- `textarea`: Multi-line text input
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- `select`: Dropdown with options array
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- `file`: File upload with drag-and-drop
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- `url`: URL input with validation
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- `checkbox`: Boolean checkbox
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## Benefits
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✅ **Scalable**: Add 100+ agents without code changes
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✅ **Version Controlled**: All agent definitions in git
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✅ **Consistent**: Ensures local and Railway databases match
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✅ **Simple**: Just create JSON file and run command
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✅ **Validated**: Built-in validation and error handling
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## Railway Deployment
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On Railway, just run:
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```bash
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python manage.py populate_agents
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```
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All agents defined in JSON files will be created automatically, ensuring Railway marketplace shows all agents consistently. |