Activity v1
Agent Loop and Tool Selection Simulator
Step through bounded agent states and select the correct action tool approval or stop condition for each observation.
percentage
beginner
seed 11Agent Loop and Tool Selection Simulator: Baseline
Explore the core controls with stable inputs and visible assumptions.
Assumptions
The simulation is deterministic and intentionally simplifies provider and hardware behavior.
Failure injection
Stable baseline with no injected production fault.
State Graph Orchestrator
LangGraph Pregel State Machine
Multi-Agent Swarm Sandbox & Cyclic State Simulator
Simulate deterministic multi-agent state transitions, evaluation loops, and human-in-the-loop escalation gates.
Planner Agent
Active Node
Coder Agent
Queued
Tester Agent
Queued
Security Auditor
Queued
Human Approver
Queued
Deployer Agent
Queued
Simulation Controls
Inject Test Failure
When active, forces TesterAgent to reject first patch and trigger a cyclic feedback loop back to CoderAgent.
Workflow Telemetry
Total Tokens1,250
Cyclic Loops0 / 5 max
Human ApprovalPending
Inter-Agent Communication Bus
1 messages loggedSystem→PlannerAgent
00:00:01Task initialized: Build and verify zero-latency KV cache eviction policy.
0 saved attempts
Expected outcomes
- Select actions from environment evidence
- Apply stopping and approval boundaries
Connected concepts
Apply this lab in an architecture
AI Hardware Accelerators & Compute ArchitectureGPU Hardware Architecture, CUDA Optimization & LLM Inference InfrastructureDeep Research & Autonomous Agent Swarms Reference ArchitectureGoverned Agent ArchitectureGraphRAG & Entity-Knowledge Networks Reference ArchitectureLangGraph & Deep Agents Reference ArchitectureProduction RAG Reference Architecture & Retrieval Pipeline GuideQuantization Frontiers & Hardware Execution GuideSecure Tool ExecutionSuperAgent Harness & Sandboxed Execution Architecture Teardown