fabro/checkpoint.json
Fabro 055d62642f checkpoint
⚒️ Generated with [Fabro](https://fabro.sh)
2026-03-27 10:58:26 -04:00

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3.8 KiB
JSON

{
"timestamp": "2026-03-27T14:58:26.502242Z",
"current_node": "ship",
"completed_nodes": [
"start",
"draft",
"approve",
"ship"
],
"node_retries": {},
"context_values": {
"command.output": "shipped\n",
"command.stderr": "",
"graph.rankdir": "LR",
"response.draft": "# Greeting Message\n\nHello! 👋 \n\nWelcome to Fabro! I'm here to help you build, test, and deploy AI-powered workflows. Whether you're orchestrating agents, running automations, or testing workflow gates, let's get started. What would you like to build today?\n\n---\n\nIf you're testing the human gate with auto-approve, this greeting message could serve as the output from a workflow stage that requires human verification. Feel free to let me know if you'd like to adjust the tone or content!",
"internal.retry_count.draft": 0,
"internal.retry_count.ship": 0,
"failure_class": "",
"last_response": "# Greeting Message\n\nHello! 👋 \n\nWelcome to Fabro! I'm here to help you build, test, and deploy AI-powered workflows. Whether you're orchestrating agents, running automations, or testing workflow gat",
"current_node": "ship",
"thread.start.current_node": "draft",
"internal.retry_count.approve": 0,
"current.preamble": "Goal: Test human gate with auto-approve\n\n## Completed stages\n- **draft**: success\n - Model: claude-haiku-4-5, 2.2k tokens in / 235 out\n- **approve**: success\n\n## Context\n- human.gate.label: [A] Approve\n- human.gate.selected: A\n",
"thread.approve.current_node": "ship",
"graph.goal": "Test human gate with auto-approve",
"thread.draft.current_node": "approve",
"human.gate.selected": "A",
"internal.thread_id": "approve",
"internal.fidelity": "compact",
"internal.node_visit_count": 1,
"human.gate.label": "[A] Approve",
"internal.run_id": "01KMQWTV544SGDZTYEWVMSPPAS",
"last_stage": "draft",
"preferred_label": "[A] Approve",
"outcome": "success",
"failure_signature": "",
"internal.retry_count.start": 0
},
"node_outcomes": {
"approve": {
"status": "success",
"preferred_label": "[A] Approve",
"suggested_next_ids": [
"ship"
],
"context_updates": {
"human.gate.label": "[A] Approve",
"human.gate.selected": "A"
},
"usage": null
},
"start": {
"status": "success",
"usage": null
},
"ship": {
"status": "success",
"context_updates": {
"command.output": "shipped\n",
"command.stderr": ""
},
"notes": "Script completed: echo shipped",
"usage": null
},
"draft": {
"status": "success",
"context_updates": {
"last_response": "# Greeting Message\n\nHello! 👋 \n\nWelcome to Fabro! I'm here to help you build, test, and deploy AI-powered workflows. Whether you're orchestrating agents, running automations, or testing workflow gat",
"response.draft": "# Greeting Message\n\nHello! 👋 \n\nWelcome to Fabro! I'm here to help you build, test, and deploy AI-powered workflows. Whether you're orchestrating agents, running automations, or testing workflow gates, let's get started. What would you like to build today?\n\n---\n\nIf you're testing the human gate with auto-approve, this greeting message could serve as the output from a workflow stage that requires human verification. Feel free to let me know if you'd like to adjust the tone or content!",
"last_stage": "draft"
},
"notes": "Stage completed: draft",
"usage": {
"model": "claude-haiku-4-5",
"input_tokens": 2206,
"output_tokens": 235,
"cache_read_tokens": 0,
"cache_write_tokens": 0,
"reasoning_tokens": 132,
"cost": 0.0027048000000000003
}
}
},
"next_node_id": "exit",
"node_visits": {
"approve": 1,
"start": 1,
"draft": 1,
"ship": 1
}
}