socratic-agents 0.4.0

Constitutional AI Agents - Multi-agent platform with governance and ethical decision-making

Socratic Agents

Socratic Agents - Independent multi-agent framework designed for standalone use with optional Constitutional AI governance integration.

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Overview

Socratic Agents is a collection of 19+ specialized agents that handle complex tasks like Socratic questioning, code generation, project management, quality control, learning, and conflict resolution.

The library uses service-based architecture with dependency injection - agents are decoupled from any monolithic system, enabling flexible use in diverse deployment scenarios.

Key Features:

• Service-based architecture with dependency injection
• Multi-agent orchestration with event-driven messaging via AgentBus
• Optional Constitutional AI governance (socratic-morality integration)
• Comprehensive agent implementations ready to use
• REST API for external access
• Clean service interfaces for custom implementations

Requirements

• Python 3.10+ (recommended 3.11 or 3.12)
• pydantic>=2.0 - Data validation and modeling

Optional Dependencies

• FastAPI - For REST API support (pip install socratic-agents[api])
• socratic-morality - For Constitutional AI governance features (governance module)
• Anthropic SDK - For Claude LLM integration

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Installation

Via PyPI (Recommended)

Install the latest version from PyPI:

pip install socratic-agents

For REST API support, install with the api extra:

pip install socratic-agents[api]

For governance features, install with the governance extra:

pip install socratic-agents[governance]

Development Installation

For development or local testing:

cd Socratic-agents
pip install -e ".[dev]"  # Includes all dev dependencies

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The 19+ Agents

Core Dialogue Agents

• SocraticCounselorAgent - Guides users through Socratic questioning with full dialogue orchestration
• QuestionQueueAgent - Manages and prioritizes question queues

Project & Workflow Agents

• ProjectManagerAgent - Manages project lifecycle (creation, loading, collaboration)
• QualityControllerAgent - Orchestrates maturity tracking and quality assurance
• WorkflowOptimizationAgent - Optimizes workflow paths and decision strategies

Code & Technical Agents

• CodeGeneratorAgent - Generates code based on project context
• CodeValidationAgent - Validates and tests code
• DocumentProcessorAgent - Processes and imports project documents
• GitHubSyncHandler - Handles GitHub repository synchronization

Learning & Knowledge Agents

• UserLearningAgent - Tracks user behavior and learning patterns
• KnowledgeManagerAgent - Manages knowledge base enrichment
• KnowledgeAnalysisAgent - Analyzes and extracts knowledge insights
• ConflictDetectorAgent - Detects and resolves conflicts in specifications

User & System Agents

• UserManagerAgent - Manages user accounts and preferences
• SystemMonitorAgent - Monitors system health and token usage
• ContextAnalyzerAgent - Analyzes and manages project context
• MultiLLMAgent - Coordinates multiple LLM providers

Note & Data Agents

• NoteManagerAgent - Manages project notes and documentation
• DocumentContextAnalyzer - Analyzes semantic content of documents

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Architecture

Architecture

Agents are organized by function and work together through the AgentOrchestrator:

┌─────────────────────────────────────┐
│  AgentOrchestrator                  │
│  ├─ Event System                    │
│  ├─ LLM Client (Multi-provider)     │
│  └─ Message Routing (AgentBus)      │
├─────────────────────────────────────┤
│  Socratic Agents (19+)              │
│  ├─ Dialogue Agents                 │
│  ├─ Project Agents                  │
│  ├─ Code Agents                     │
│  ├─ Learning Agents                 │
│  └─ System Agents                   │
├─────────────────────────────────────┤
│  Constitutional AI Governance       │
│  └─ Via socratic-morality library   │
└─────────────────────────────────────┘

Key Features

• Agent Orchestration - Coordinated agent workflows through AgentOrchestrator
• Async Support - Full async/await support for non-blocking operations
• Event System - Real-time event emission for status tracking
• Database Integration - Direct access to Socrates database
• Vector DB Access - Knowledge and context retrieval
• Multi-Provider LLM - Via Socratic Nexus integration
• Type Hints - Full Python type annotations
• Comprehensive Logging - Detailed operation logging

Phase 3 Features - Constitutional AI & Governance

• GovernedAgent - Wraps agents with constitutional governance checks
• Agent Bus - Inter-agent message routing with history tracking (1000 message buffer)
• Governance Integration - Uses socratic-morality for ethical decision making
• REST API - FastAPI endpoints for governance, agents, and precedent lookup
• YAML Configuration - Constitutional governance rules and agent configuration

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Quick Reference

Initialize Agents Within Socrates

from socratic_agents import AgentOrchestrator, SocraticCounselorAgent

# Create orchestrator (within Socrates context)
orchestrator = AgentOrchestrator(
    database=socrates_db,
    vector_db=socrates_vector_db,
    claude_client=socrates_llm_client
)

# Create and use specific agent
counselor = SocraticCounselorAgent(orchestrator)
result = counselor.process({
    "action": "generate_question",
    "project": project_context,
    "current_user": user_id
})

Available Actions Vary by Agent

Each agent has specific actions. See individual agent documentation for details.

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Testing

# Install development dependencies
pip install -e ".[dev]"

# Run all tests
pytest tests/ -v --cov=src/socratic_agents

# Run with coverage report
pytest tests/ --cov=src/socratic_agents --cov-report=html

# Run specific test category
pytest -m unit
pytest -m integration

Test Coverage

Current test coverage: 81%+ across all agent implementations.

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Future: Post-Architecture Redesign

After the Socrates architecture is redesigned and optimized, the following changes are planned:

1. Independent Agents - Some agents will be refactored as independent packages
2. Decoupled Dependencies - Reduced reliance on Socrates internals
3. Modular Publishing - Agent libraries published separately to PyPI
4. Standalone Mode - Core agents usable without full Socrates installation

Current independent Socratic libraries:

• socratic-analyzer - Code analysis (standalone)
• socratic-learning - Learning algorithms (standalone)
• Socratic-workflow - Workflow definitions (standalone)
• Socratic-maturity - Maturity tracking (standalone)
• And 4+ others...

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Architecture Documentation

Status: Currently in integration phase within Socrates monolith.

For detailed agent documentation, see the docs/ directory (available after Socrates publication).

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Contributing

This library is maintained as part of the Socrates monolith. Contributions should follow Socrates contribution guidelines.

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License

MIT License - See LICENSE for details.

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This library is part of the Socrates AI platform

Made by @Nireus79

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Part of Socrates AI Ecosystem

This package is a component of Socrates AI, a production-ready platform for building intelligent multi-agent systems with constitutional governance.

Use This Package Standalone:

pip install socratic-agents

Or As Part of Socrates Platform:

pip install socrates-ai  # Includes 37+ modules + all 11 packages

Integration Example:

See the Socrates ECOSYSTEM.md for detailed integration examples showing how to use socratic-agents with other Socratic packages.

Related packages you might use together:

• See Complete Package Map

More Information:

• 📖 Full Socrates Documentation
• 🏗️ Complete Architecture Guide
• 💬 Socrates Discussions

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