mirror of
https://github.com/fabro-sh/fabro.git
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Fabro
parent
235726ae0e
commit
cba88c368d
4 changed files with 190 additions and 20 deletions
176
run.json
176
run.json
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@ -214,10 +214,10 @@
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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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"last_event_at": "2026-05-07T21:31:45.782092Z",
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"pending_control": null,
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"checkpoint": {
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"timestamp": "2026-05-07T21:31:37.803696Z",
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"timestamp": "2026-05-07T21:31:45.778082Z",
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"current_node": "greet",
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"completed_nodes": [
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"start",
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@ -225,25 +225,29 @@
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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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"failure_signature": "",
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"internal.run_id": "01KR25KRS7GP07WAZFA16A5D26",
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"graph.goal": "Say hello and demonstrate a basic Fabro workflow",
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"internal.thread_id": "start",
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"internal.work_dir": "/home/daytona/workspace",
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"thread.start.current_node": "greet",
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"internal.node_visit_count": 1,
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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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"failure_class": "",
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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.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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"outcome": "succeeded",
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"current_node": "greet"
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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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"greet": {
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"status": "succeeded",
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"context_updates": {
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@ -278,13 +282,10 @@
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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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"git_commit_sha": "e4b970c1ce7c764d3f5a03c6632c5870008d932f",
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"node_visits": {
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"start": 1,
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"greet": 1
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@ -325,9 +326,117 @@
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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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41,
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{
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"timestamp": "2026-05-07T21:31:45.778082Z",
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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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"node_retries": {},
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"context_values": {
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"internal.retry_count.greet": 0,
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"graph.rankdir": "LR",
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"failure_signature": "",
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"internal.run_id": "01KR25KRS7GP07WAZFA16A5D26",
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"graph.goal": "Say hello and demonstrate a basic Fabro workflow",
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"internal.thread_id": "start",
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"internal.work_dir": "/home/daytona/workspace",
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"thread.start.current_node": "greet",
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"internal.node_visit_count": 1,
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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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"failure_class": "",
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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.fidelity": "compact",
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"internal.retry_count.start": 0,
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"last_stage": "greet",
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"outcome": "succeeded",
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"current_node": "greet"
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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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"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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},
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"next_node_id": "exit",
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"git_commit_sha": "e4b970c1ce7c764d3f5a03c6632c5870008d932f",
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"node_visits": {
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"greet": 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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"conclusion": {
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"timestamp": "2026-05-07T21:31:45.816445Z",
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"status": "succeeded",
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"duration_ms": 28187,
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"final_git_commit_sha": "e4b970c1ce7c764d3f5a03c6632c5870008d932f",
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"stages": [
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{
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"stage_id": "start",
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"stage_label": "start",
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"duration_ms": 0,
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"retries": 0
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{
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"stage_id": "greet",
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"stage_label": "greet",
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"total_usd_micros": 75014
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},
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"total_retries": 0
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},
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"retro": null,
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"retro_prompt": null,
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"retro_response": null,
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@ -369,7 +478,12 @@
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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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"completion": {
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"outcome": "succeeded",
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"notes": "Stage completed: greet",
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"failure_reason": null,
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"timestamp": "2026-05-07T21:31:37.803400Z"
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},
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"provider_used": {
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"mode": "agent",
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"provider": "anthropic",
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@ -382,7 +496,29 @@
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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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"duration_ms": 15228,
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"state": "succeeded"
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"started_at": "2026-05-07T21:31:45.781998Z",
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"duration_ms": 0,
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"state": "succeeded"
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}
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}
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}
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22
stages/002-greet@1/diff.patch
Normal file
22
stages/002-greet@1/diff.patch
Normal file
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@ -0,0 +1,22 @@
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diff --git a/README.md b/README.md
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index 0a3caeec..6deed784 100644
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--- a/README.md
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+++ b/README.md
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@@ -4,6 +4,10 @@
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## The open source dark software factory for expert engineers
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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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AI coding agents are powerful but unpredictable. You either babysit every step or review a 50-file diff you don't trust. Fabro gives you a middle path: define the process as a graph, let agents execute it, and intervene only where it matters. [Why Fabro?](https://docs.fabro.sh/getting-started/why-fabro)
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[](https://github.com/fabro-sh/fabro/actions/workflows/rust.yml)
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@@ -190,4 +194,4 @@ If you need a capability which is not in-scope for Fabro, you always have the op
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## License
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-Fabro is licensed under the [MIT License](LICENSE.md).
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+Fabro is licensed under the [MIT License](LICENSE.md).
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\ No newline at end of file
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6
stages/002-greet@1/status.json
Normal file
6
stages/002-greet@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": "Stage completed: greet",
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"failure_reason": null,
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"timestamp": "2026-05-07T21:31:37.803400Z"
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}
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6
stages/003-exit@1/status.json
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6
stages/003-exit@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": "2026-05-07T21:31:45.782092Z"
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}
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