Architect Agent Platforms
Design platforms that run many AI agents: choose the MCP and tool-calling architecture, design tools, enforce approvals, policies and budgets, and evaluate and govern agents in production.
Architect Agent Platforms badgeComplete all 4 lessons to earn it. About 3.1 hours.
0 of 4 lessonsStart course
What you'll be able to do
- Choose between the hosted MCP server, your own MCP server and direct function calling for each agent, and isolate tenants with scoped keys
- Design tools at the right granularity, validate model-supplied arguments in code, and pass large outputs by reference
- Route consequential actions through approval queues and enforce policies and per-run credit and call budgets outside the model
- Contain prompt injection that arrives through tool outputs with taint tracking, quarantined extraction and least privilege
- Gate agent changes on replayed evals, trace every run, measure cost per outcome and run change control with clear ownership
This course is one of three skill areas on exam APV-400, APIVerve Certified Architect: Solutions Architecture: 10 of its 30 questions. See the full path
Syllabus
- MCP architecture patterns for agent platformsStart hereChoose between the hosted MCP server, your own MCP server and direct function calling, then scope keys per deployment and isolate tenants on a shared platform.
- Design tools for agents at scaleSize agent tools well, validate model-supplied arguments in code, return structured output, pass large results by reference and write actionable errors.
- Human approval and guardrails for AI agentsRoute consequential agent actions through approval queues, enforce policies and per-run budgets in code, and contain prompt injection arriving in tool outputs.
- Evaluate and govern AI agents in productionGate agent changes on replayed evals, trace every run end to end, measure cost per run and per outcome, detect drift, and run ownership and change control.