Build in minutes
Deploy multi-agent systems with the Python SDK. Automatic conversation continuity, agent routing, OAuth2 authentication, and quantum-safe TLS built-in.
- ✓ Conversation continuity (ThreadManager)
- ✓ Multi-agent routing
- ✓ OAuth2 authentication
- ✓ SSE streaming support
- ✓ Quantum-safe hybrid TLS
- ✓ Production-ready storage backends
from arc import Client
# Initialize client
client = Client(
"https://api.example.com/arc",
token="your-token"
)
# Call agent
response = await client.task.create(
target_agent="finance-agent",
initial_message={
"role": "user",
"parts": [{
"type": "text",
"content": "Analyze Q4 report"
}]
}
)
print(response.result)Built for modern AI systems
Stateless RPC
Lightweight remote procedure call optimized for agent communication. Route hundreds of specialized agents through a single endpoint with built-in discovery and intelligent routing.
Quantum-Safe Security
Hybrid TLS combining classical X25519 with post-quantum Kyber-768 (FIPS 203 ML-KEM). Future-proof encryption protecting against quantum computing threats.
Workflow Tracing
End-to-end observability across distributed agent interactions. Automatic traceId propagation enables complete workflow visibility and debugging capabilities.
Multi-Agent Architectures
Deploy specialized agents for different domains. Finance, HR, support—all on one endpoint with intelligent routing.
Enterprise Security
OAuth2 authentication, scope validation, and quantum-safe encryption. Production-ready security out of the box.
Full Observability
Trace workflows across distributed agents. Integrate with LangFuse, OpenTelemetry, and monitoring tools.