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Interactive 3D/Agent Checkpointing & Recovery
Task Timeline - 8 Steps
1
Parse requirements
Read and understand the task specification
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1.2k tok
2 calls
2
Design schema
Define database schema and API endpoints
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2.4k tok
3 calls
3
Scaffold project
Create directory structure and config files
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3.8k tok
8 calls
4
Implement auth
Write JWT authentication middleware
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5.2k tok
12 calls
5
Implement CRUDFAIL POINT
Write all CRUD handlers and DB queries
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7.1k tok
18 calls
6
Add validation
Input validation and error handling
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8.6k tok
22 calls
7
Write tests
Integration and unit tests for all endpoints
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10.2k tok
28 calls
8
Deploy and verify
Deploy to staging, run smoke tests
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11.8k tok
31 calls
Inject Failure at Step
Checkpoint Frequency
Last checkpoint before failure:
Step 4: Implement auth
Re-execute: 1 step(s)
Checkpointing saves agent state so a failure mid-task doesn't restart from zero. Checkpoint frequency trades storage cost against re-work cost.

Agent Checkpointing & Recovery - Interactive Visualization

Long-horizon agentic tasks - spanning dozens of steps and thousands of tokens - are vulnerable to failures mid-execution. Checkpointing saves the agent's full state (conversation history, tool call log, intermediate results, current plan) at key points during the task. When a failure occurs, the agent can resume from the last checkpoint rather than restarting from scratch, dramatically reducing wasted compute and API cost. This visualization lets you inject failures at any step, choose checkpoint frequency, and compare three recovery strategies.

  • 8-step long-horizon task (build REST API) with checkpoints shown as disk-save icons
  • Inject failure at any step (1–8) to see recovery options activate
  • Three recovery strategies: resume from last checkpoint, restart from scratch, resume with error context
  • Checkpoint frequency control: every step, every 3 steps, or manual only
  • State viewer shows tokens consumed, tool calls, and intermediate results at each checkpoint
  • Calculates re-execution cost: how many steps must be re-run given the chosen checkpoint frequency

Part of the EngineersOfAI Interactive 3D - free interactive visualizations covering every major concept in machine learning and AI engineering. Hover any element for a plain-English explanation. No code required.