Stage 4: Governed Tool Use at Scale

Where most real-world agent failures happen. CAF takes this seriously.

Task

Let agents invoke expensive, stateful, or dangerous tools under proactive policy enforcement.

Why This Matters

Scaling inference is easy—LLM calls are stateless. Scaling tool use is hard because tools have side effects, consume scarce resources, and can cause real-world harm. This is where safety and cost control matter most.

Details

Aspect	Value
CAF Components	Academy governance
Where it runs	DOE HPC systems
Scale	O(10²–10³) concurrent tool invocations
Status	Work in progress

Architecture

Governed tool use: Governance layer with Policy, Scheduler, Audit Log controlling tool execution

Code

Example	Description
AgentsGovernedTools	Budget limits, rate limiting, approval gates, and audit logging

Prerequisites

Before diving into governed tool use, ensure you’re comfortable with:

AgentsCalculator — Basic LangGraph agent with tools
AgentsAcademyBasic — Academy fundamentals

Next Steps

After understanding governed tool use:

Multi-Agent Coordination — Coordinate agents under shared governance
Long-Lived Agents — Agents that persist for days to months

Federated Agents — Cross-institutional execution (often uses governance)
Scale Inference — Parallel LLM calls (different scaling challenge)