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Architecture
Production stack, observability, rate limits, operations.
- Agent Runtime: Control the Agent Execution Loopβ β βExecution layer that controls the agent loop, enforces limits, and records stop reasons for each run.
- Tool Execution Layer: Safe Tool Execution for AI Agentsβ β βLayer that validates, authorizes, and executes tool_call under policy, limits, and response-format control.
- Memory Layer: How Agents Store and Retrieve Memoryβ β βLayer that stores and returns relevant memory across steps and sessions under limits, quality, and privacy controls.
- Policy Boundaries in Architecture: What Agents Are Allowed to Doβ β βA governed layer that defines and enforces rules: what the agent is allowed to do, what is forbidden, and what requires approval.
- Production Stack: Build Reliable Agent Systemsβ β βProduction Stack combines Runtime, tools, memory, policy, HITL, containerization, and multi-tenant boundaries into one governed system.
- Orchestration Topologies: How Agents Coordinate Workflowsβ β βArchitectural coordination schemes between agents: who hands tasks to whom, how the process stops, and where risks are controlled.
- Hybrid Workflow Agent: Combine AI Agents and Workflowsβ β βA governed scheme where Workflow executes deterministic steps and side effects (state changes), while the agent solves uncertain subtasks within guardrails.
- Human-in-the-Loop Architecture: When Humans Approve Agent Decisionsβ β βA governed architecture layer that moves risky actions into human approval mode before actual execution.
- Containerizing Agents: Run Agents in Stable Containersβ β βA governed architectural isolation layer: image, runtime config, resource limits, health checks, and safe rollout for agents.
- Multi-Tenant: Isolate Agents Across Customersβ β βA governed architectural isolation layer for tenant data: separate context, scoped credentials, per-tenant limits, and audit without cross-tenant leaks.
Architecture: Build a system, not a demo
This section focuses on production architecture: runtime control, execution layers, policy boundaries, orchestration topologies, and multi-tenant isolation.
Core pages in this section
- Production Stack: Build Reliable Agent Systems
- Agent Runtime: Control the Agent Execution Loop
- Tool Execution Layer: Safe Tool Execution for AI Agents
- Policy Boundaries in Architecture: What Agents Are Allowed to Do
- Orchestration Topologies: How Agents Coordinate Workflows
FAQ
What is the best way to go through this section?
Start with the first baseline article, continue with the core pages below, and then validate the ideas with runnable examples.
Can I jump directly to advanced pages?
Yes, but you'll move faster with fewer gaps if you cover the core pages in this section first.
How does this section connect to production work?
These guides map directly to production concerns: architecture, governance, failure modes, and implementation-ready code patterns.