AI Agent Orchestra Module

Multi-agent AI orchestration with vector memory, cross-framework coordination, and multi-site management capabilities.

Overview

The AI Agent Orchestra module provides centralized orchestration for multiple AI agents, enabling complex multi-agent workflows, vector memory management, and cross-platform coordination.

Module Information

Name: AI Agent Orchestra
Machine Name: ai_agents_orchestra
Package: AI & Machine Learning
Version: 0.1.1
Drupal Compatibility: ^10.2 || ^11
OSSA Compliant: Yes
Source: /Users/flux423/Sites/LLM/all_drupal_custom/modules/ai_agents_orchestra/

Features

Multi-Agent Orchestration: Coordinate multiple AI agents
Vector Memory Management: Store and retrieve agent memories using embeddings
Cross-Framework Coordination: Integrate with CrewAI, LangChain, HuggingFace
Multi-Site Management: Deploy agents across multiple Drupal sites
Task Distribution: Intelligent task routing based on agent capabilities
Real-Time Monitoring: Monitor agent performance and health
State Management: Track agent states using state_machine
Queue Processing: Advanced queue management for agent tasks

Installation

composer require drupal/ai_agents_orchestra
drush en ai_agents_orchestra -y
drush cr

Dependencies

Required (Core Drupal Only)

drupal:system (>=10.2)
drupal:user
drupal:node
drupal:field
drupal:text
drupal:views
drupal:datetime
drupal:jsonapi
drupal:serialization
drupal:rest

Suggested

ai:ai - AI framework integration
ai_agents:ai_agents - AI Agents framework
ai_automators:ai_automators - Automation chains
eca:eca - Event-Condition-Action workflows
eca:eca_base
eca:eca_ui
eca:eca_modeller_bpmn
eca:eca_queue
eck:eck - Entity Construction Kit
state_machine:state_machine - State management
advancedqueue:advancedqueue - Queue processing
group:group - Multi-site grouping
views_bulk_operations:views_bulk_operations
rules:rules
field_group:field_group

Configuration

Navigate to: /admin/config/ai/orchestra

# config/ai_agent_orchestra.settings.yml
orchestration:
  max_concurrent_agents: 10
  task_timeout: 300
  enable_vector_memory: true
  memory_dimensions: 768
  coordination_strategy: 'intelligent'

Usage

Create Orchestra

<?php

use Drupal\ai_agents_orchestra\Entity\AgentOrchestra;

$orchestra = AgentOrchestra::create([
  'label' => 'Content Processing Orchestra',
  'description' => 'Orchestrates content analysis agents',
  'agents' => [
    'content_analyzer',
    'sentiment_detector',
    'quality_scorer',
  ],
  'coordination_strategy' => 'sequential',
]);
$orchestra->save();

Execute Orchestra

<?php

// Load orchestra
$orchestra = \Drupal::entityTypeManager()
  ->getStorage('agent_orchestra')
  ->load('content_processing');

// Execute with context
$orchestrator = \Drupal::service('ai_agents_orchestra.orchestrator');
$result = $orchestrator->execute($orchestra, [
  'content' => $content,
  'requirements' => ['quality', 'sentiment'],
]);

Drush Commands

# List orchestras
drush orchestra:list

# Execute orchestra
drush orchestra:execute content_processing --context='{"content": "..."}'

# Monitor orchestras
drush orchestra:monitor

API Endpoints

REST API

# Execute orchestra
curl -X POST /api/v1/orchestra/execute \
  -H "Content-Type: application/json" \
  -d '{
    "orchestra_id": "content_processing",
    "context": {"content": "..."}
  }'

GraphQL API

mutation {
  executeOrchestra(
    orchestraId: "content_processing"
    context: {content: "..."}
  ) {
    success
    result
  }
}

Vector Memory

<?php

// Store agent memory
$memory_service = \Drupal::service('ai_agents_orchestra.vector_memory');
$memory_service->store('agent_id', 'memory_content', [
  'context' => 'conversation',
  'timestamp' => time(),
]);

// Retrieve similar memories
$memories = $memory_service->search('agent_id', 'query', [
  'limit' => 5,
  'threshold' => 0.8,
]);

Resources

Project: https://gitlab.bluefly.io/llm/drupal-modules/ai_agents_orchestra
OSSA: https://gitlab.bluefly.io/llm/ossa