[ ABORT TO HUD ]
SEQ. 1
SEQ. 2
SEQ. 3

Dynamic Chaining & Action Execution

⚙️ Copilot Studio Runtime & Dynamic Chaining⏱ 20 min⭐ 200 BASE XP⌨ HANDS-ON LAB

Dynamic Chaining: Autonomous Tool Composition

In Copilot Studio, Dynamic Chaining allows the model to inspect all available tools and actions in real time and compose multi-step execution graphs on the fly:

  • Action Schemas: Every action exposes an OpenAPI JSON schema describing parameters, requirements, and outputs.
  • Slot Auto-Mapping: Outputs from prior actions automatically feed required inputs for downstream actions.
  • Runtime Guardrails: Actions marked with destructive flags (e.g. DELETE or payment transfers) automatically halt for human confirmation.
⌨ HANDS-ON LABTest Generative Action Chaining in Terminal
⭐ +200 XP

Simulate a multi-action user prompt requiring the runtime orchestrator to dynamically link a database search action with a shipping notification action.

1Invoke the copilot dynamic planner test command.
lab-sandbox — simulated environment
INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$
OBJECTIVE 1 / 1 — type "hint" if stuck
SYNAPSE VERIFICATION
QUERY 1 // 1
How does Dynamic Chaining in Copilot Studio construct an execution plan?
By asking the user to manually select buttons
By analyzing action descriptions and parameter schemas to dynamically compose an execution graph
By converting all actions into static Power Automate flows
By requiring a pre-compiled state machine in C#