AI Tools•SOTAAZ Lab•March 30, 2026•KR

AgentScope Production Deployment — Runtime, Monitoring, Scaling

Docker deployment with agentscope-runtime, OpenTelemetry tracing, AgentScope Studio, RL fine-tuning, production checklist.

AgentScope Production Deployment — Runtime, Monitoring, Scaling

You've built agents that reason, use tools, search documents, remember users, and speak. Now the question is: how do you run them in production?

This final post covers Docker deployment, observability, session management, evaluation, and the full production checklist.

Series: Part 1: Getting Started | Part 2: Multi-Agent | Part 3: MCP Integration | Part 4: RAG + Memory | Part 5: Realtime Voice | Part 6 (this post)

1. agentscope-runtime Overview

agentscope-runtime is the official deployment package. It provides sandboxed execution environments for agents.

Runtime Mode	Isolation	Use Case
Docker	Container-level	Standard production
Kubernetes	Pod-level	Scaled deployments
VNC Sandbox	Full desktop	Agents that interact with GUIs

Install:

bash

pip install agentscope[runtime]

The runtime wraps your agent in a container with resource limits, networking, and lifecycle management.

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