Framework Integration

CrewAI Integration

Secure CrewAI crews with Amorce in 1 decorator

👥 One Decorator for Crew-Wide Security

Add Ed25519 signatures, inter-agent authentication, and human-in-the-loop approvals to entire CrewAI crews with a single decorator.

Quick Start

Installation

pip install crewai-amorce

Basic Usage

Secure an entire crew with one decorator:

from crewai import Crew, Agent, Task
from crewai_amorce import secure_crew

# Define your crew
researcher = Agent(
    role='Research Specialist',
    goal='Find accurate information',
    backstory='Expert researcher'
)

writer = Agent(
    role='Content Writer',
    goal='Write engaging content',
    backstory='Experienced writer'
)

# Secure the entire crew with one decorator
@secure_crew
crew = Crew(
    agents=[researcher, writer],
    tasks=[research_task, write_task]
)

# All agent interactions are now cryptographically signed
result = crew.kickoff()

✅ That's it! Your CrewAI crew now has: Ed25519 cryptographic signatures • Inter-agent authentication • Trust Directory verification • A2A-compatible messages • Audit trail for all interactions

Features

🔐 Crew-Wide Security

Every agent in the crew gets Amorce security automatically:

from crewai_amorce import secure_crew

@secure_crew
crew = Crew(
    agents=[agent1, agent2, agent3],
    tasks=[task1, task2]
)

# All 3 agents now:
# - Have cryptographic identities
# - Sign all communications
# - Verify each other's signatures

👤 Human-in-the-Loop (HITL)

Require human approval for sensitive crew operations:

from crewai_amorce import secure_crew

@secure_crew(
    hitl_required=['execute_code', 'make_payment', 'delete_file']
)
crew = Crew(
    agents=[developer_agent, finance_agent],
    tasks=[code_task, payment_task]
)

# Crew runs normally, but pauses for approval on sensitive actions

🎯 SecureAgent for Fine-Grained Control

Use SecureAgent for individual agent security:

from crewai_amorce import SecureAgent

henri = SecureAgent(
    role="Electronics Seller",
    goal="Maximize profit while maintaining 4.8★ rating",
    backstory="Professional refurbisher",
    tools=[inventory_db, pricing_api],
    hitl_required=['confirm_sale', 'issue_refund']
)

# Henri's actions require human approval for sales

🔗 A2A Protocol Compatible

All crew communications use A2A format:

@secure_crew(a2a_compatible=True)
crew = Crew(agents=[...], tasks=[...])

# Agent-to-agent messages use A2A envelope

Live Example: Marketplace Demo

See CrewAI + Amorce in action with Henri, a seller agent that negotiates with a LangChain buyer agent:

from crewai_amorce import SecureAgent

henri = SecureAgent(
    role="Electronics Reseller",
    goal="Maximize profit while maintaining 4.8★ rating",
    backstory="Professional refurbisher with 500+ sales",
    tools=[
        inventory_database,      # Check stock & condition
        pricing_api,            # Real-time market rates
        shipping_calculator,     # Calculate costs
        receipt_generator       # Generate signed docs
    ],
    hitl_required=['confirm_sale', 'issue_refund'],
    verbose=True
)

# Henri autonomously:
# 1. Receives offer from Sarah (LangChain agent)
# 2. Checks Sarah's reputation in Trust Directory
# 3. Calculates profit margin
# 4. Requests human approval to sell
# 5. Generates cryptographically signed receipt

🎬 Full Demo: Check out the complete Agent Marketplace Demo showing Henri negotiating with Sarah (LangChain).

Multi-Agent Research Crew

Example of securing a complete research crew:

from crewai import Crew, Agent, Task
from crewai_amorce import secure_crew

# Create agents
researcher = Agent(
    role='Senior Researcher',
    goal='Uncover cutting-edge developments',
    backstory='Renowned researcher'
)

analyst = Agent(
    role='Data Analyst',
    goal='Analyze research findings',
    backstory='Statistical expert'
)

writer = Agent(
    role='Tech Writer',
    goal='Create comprehensive reports',
    backstory='Award-winning writer'
)

# Secure the crew
@secure_crew(
    hitl_required=['publish_report']  # Approval before publishing
)
crew = Crew(
    agents=[researcher, analyst, writer],
    tasks=[research, analyze, write],
    verbose=True
)

# Run with full audit trail
result = crew.kickoff()
print(f"Crew ID: {crew.crew_id}")
print(f"All interactions signed: ✓")

Advanced Configuration

Custom Identity for Crew

Load an existing identity for your crew:

from amorce import IdentityManager
from crewai_amorce import secure_crew

# Load existing identity
identity = IdentityManager.load_from_file("crew_identity.pem")

@secure_crew(identity=identity)
crew = Crew(agents=[...], tasks=[...])

Inter-Crew Communication

Crews can discover and delegate to other crews:

# Crew A discovers Crew B in Trust Directory
crew_a.discover_crews(capability='data_analysis')

# Crew A delegates task to Crew B (signed)
crew_a.delegate_to(crew_b, task='analyze_data')

✅ Production Ready

The crewai-amorce integration is battle-tested and used in production environments. It seamlessly adds security to existing CrewAI workflows with minimal code changes.