mirror of
https://github.com/fabro-sh/fabro.git
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Fabro
parent
c38726acae
commit
235726ae0e
5 changed files with 187 additions and 8 deletions
171
run.json
171
run.json
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@ -204,15 +204,129 @@
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"in_place": false
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},
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"graph_source": "digraph Hello {\n graph [goal=\"Say hello and demonstrate a basic Fabro workflow\"]\n rankdir=LR\n\n start [shape=Mdiamond, label=\"Start\"]\n exit [shape=Msquare, label=\"Exit\"]\n\n greet [label=\"Greet\", prompt=\"Add a haiku to the README\"]\n\n start -> greet -> exit\n}\n",
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"start": null,
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"status": {
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"kind": "starting"
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"start": {
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"run_id": "01KR25KRS7GP07WAZFA16A5D26",
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"start_time": "2026-05-07T21:31:17.594967Z",
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"run_branch": "fabro/run/01KR25KRS7GP07WAZFA16A5D26",
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"base_sha": "094ebe164a035164e184240c95695e4b4f3d93d1"
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},
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"status_updated_at": "2026-05-07T21:31:00.306146Z",
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"last_event_at": "2026-05-07T21:31:16.435721Z",
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"status": {
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"kind": "running"
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},
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"status_updated_at": "2026-05-07T21:31:17.595013Z",
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"last_event_at": "2026-05-07T21:31:37.466200Z",
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"pending_control": null,
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"checkpoint": null,
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"checkpoints": [],
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"checkpoint": {
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"timestamp": "2026-05-07T21:31:37.803696Z",
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"current_node": "greet",
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"completed_nodes": [
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"start",
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"greet"
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],
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"node_retries": {},
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"context_values": {
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"failure_signature": "",
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"failure_class": "",
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"internal.retry_count.greet": 0,
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"graph.rankdir": "LR",
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"graph.goal": "Say hello and demonstrate a basic Fabro workflow",
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"internal.fidelity": "compact",
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"internal.retry_count.start": 0,
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"internal.run_id": "01KR25KRS7GP07WAZFA16A5D26",
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"internal.thread_id": "start",
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"internal.node_visit_count": 1,
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"current_node": "greet",
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"outcome": "succeeded",
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"last_response": "Done! Here's the haiku I added, placed right below the tagline:\n\n```\nAgents run the graph\nYou decide where it matters\nShip while you sleep\n```\n\nIt captures the core Fabro idea in three lines: determin",
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"thread.start.current_node": "greet",
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"last_stage": "greet",
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"response.greet": "Done! Here's the haiku I added, placed right below the tagline:\n\n```\nAgents run the graph\nYou decide where it matters\nShip while you sleep\n```\n\nIt captures the core Fabro idea in three lines: deterministic workflow graphs driven by AI agents, human-in-the-loop control at key decision points, and the freedom to step away while work continues.",
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"internal.work_dir": "/home/daytona/workspace"
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},
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"node_outcomes": {
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"greet": {
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"status": "succeeded",
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"context_updates": {
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"last_stage": "greet",
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"response.greet": "Done! Here's the haiku I added, placed right below the tagline:\n\n```\nAgents run the graph\nYou decide where it matters\nShip while you sleep\n```\n\nIt captures the core Fabro idea in three lines: deterministic workflow graphs driven by AI agents, human-in-the-loop control at key decision points, and the freedom to step away while work continues.",
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"last_response": "Done! Here's the haiku I added, placed right below the tagline:\n\n```\nAgents run the graph\nYou decide where it matters\nShip while you sleep\n```\n\nIt captures the core Fabro idea in three lines: determin"
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},
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"notes": "Stage completed: greet",
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"usage": {
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"input": {
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"usage": {
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"model": {
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"provider": "anthropic",
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"model_id": "claude-sonnet-4-6"
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},
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"tokens": {
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"input_tokens": 4687,
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"output_tokens": 436,
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"reasoning_tokens": 0,
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"cache_read_tokens": 25227,
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"cache_write_tokens": 12492
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}
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},
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"facts": {
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"provider": "anthropic",
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"cache_write_5m_tokens": 12492,
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"cache_write_1h_tokens": 0
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}
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},
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"total_usd_micros": 75014
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},
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"files_touched": [
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"/home/daytona/workspace/README.md"
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]
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},
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"start": {
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"status": "succeeded",
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"usage": null
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}
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},
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"next_node_id": "exit",
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"node_visits": {
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"start": 1,
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"greet": 1
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}
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},
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"checkpoints": [
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[
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18,
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{
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"timestamp": "2026-05-07T21:31:22.574370Z",
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"current_node": "start",
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"completed_nodes": [
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"start"
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],
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"node_retries": {},
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"context_values": {
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"graph.goal": "Say hello and demonstrate a basic Fabro workflow",
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"graph.rankdir": "LR",
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"internal.thread_id": null,
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"outcome": "succeeded",
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"failure_class": "",
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"internal.run_id": "01KR25KRS7GP07WAZFA16A5D26",
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"internal.fidelity": "compact",
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"internal.node_visit_count": 1,
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"internal.retry_count.start": 0,
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"internal.work_dir": "/home/daytona/workspace",
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"current_node": "start",
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"failure_signature": ""
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},
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"node_outcomes": {
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"start": {
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"status": "succeeded",
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"usage": null
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}
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},
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"next_node_id": "greet",
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"node_visits": {
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"start": 1
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}
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}
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]
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],
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"conclusion": null,
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"retro": null,
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"retro_prompt": null,
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@ -229,5 +343,46 @@
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"pull_request": null,
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"superseded_by": null,
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"pending_interviews": {},
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"stages": {}
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"stages": {
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"start@1": {
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"first_event_seq": 15,
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"prompt": null,
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"response": null,
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"completion": {
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"outcome": "succeeded",
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"notes": null,
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"failure_reason": null,
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"timestamp": "2026-05-07T21:31:22.574023Z"
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},
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"provider_used": null,
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"diff": null,
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"script_invocation": null,
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"script_timing": null,
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"parallel_results": null,
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"stdout": null,
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"stderr": null,
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"started_at": "2026-05-07T21:31:22.572853Z",
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"duration_ms": 0,
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"state": "succeeded"
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},
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"greet@1": {
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"first_event_seq": 19,
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"prompt": null,
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"response": null,
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"completion": null,
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"provider_used": {
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"mode": "agent",
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"provider": "anthropic",
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"model": "claude-sonnet-4-6"
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},
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"diff": null,
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"script_invocation": null,
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"script_timing": null,
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"parallel_results": null,
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"stdout": null,
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"stderr": null,
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"started_at": "2026-05-07T21:31:22.574542Z",
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"state": "running"
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}
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}
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}
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6
stages/001-start@1/status.json
Normal file
6
stages/001-start@1/status.json
Normal file
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@ -0,0 +1,6 @@
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{
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"outcome": "succeeded",
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"notes": null,
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"failure_reason": null,
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"timestamp": "2026-05-07T21:31:22.574023Z"
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}
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4
stages/002-greet@1/prompt.md
Normal file
4
stages/002-greet@1/prompt.md
Normal file
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@ -0,0 +1,4 @@
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Goal: Say hello and demonstrate a basic Fabro workflow
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Add a haiku to the README
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5
stages/002-greet@1/provider_used.json
Normal file
5
stages/002-greet@1/provider_used.json
Normal file
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@ -0,0 +1,5 @@
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{
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"mode": "agent",
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"provider": "anthropic",
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"model": "claude-sonnet-4-6"
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}
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9
stages/002-greet@1/response.md
Normal file
9
stages/002-greet@1/response.md
Normal file
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@ -0,0 +1,9 @@
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Done! Here's the haiku I added, placed right below the tagline:
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```
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Agents run the graph
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You decide where it matters
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Ship while you sleep
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```
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It captures the core Fabro idea in three lines: deterministic workflow graphs driven by AI agents, human-in-the-loop control at key decision points, and the freedom to step away while work continues.
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Loading…
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