mirror of
https://github.com/fabro-sh/fabro.git
synced 2026-09-09 22:33:37 +00:00
parent
8286cc5aeb
commit
8a8269d7c4
4 changed files with 127 additions and 19 deletions
112
run.json
112
run.json
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@ -208,7 +208,7 @@
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"kind": "running"
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},
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"status_updated_at": "2026-05-11T21:12:41.799310Z",
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"last_event_at": "2026-05-11T21:12:59.051112Z",
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"last_event_at": "2026-05-11T21:13:04.236777Z",
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"pending_control": null,
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"checkpoints": [
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{
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@ -248,9 +248,9 @@
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"diff": {}
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},
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{
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"seq": 0,
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"seq": 42,
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"checkpoint": {
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"timestamp": "2026-05-11T21:12:59.263965Z",
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"timestamp": "2026-05-11T21:13:04.236569Z",
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"current_node": "greet",
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"completed_nodes": [
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"start",
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@ -258,23 +258,23 @@
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],
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"node_retries": {},
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"context_values": {
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"current_node": "greet",
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"graph.rankdir": "LR",
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"thread.start.current_node": "greet",
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"internal.work_dir": "/home/daytona/workspace",
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"internal.thread_id": "start",
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"failure_class": "",
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"internal.retry_count.greet": 0,
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"failure_signature": "",
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"internal.fidelity": "compact",
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"internal.run_id": "01KRCE4MSB8DK908K6QB17Y69H",
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"internal.retry_count.greet": 0,
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"last_stage": "greet",
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"last_response": "Done! Here's what was added to the README, just below the main tagline:\n\n```\n> *Agents run the graph*\n> *Human gates hold what matters*\n> *Ship with confidence*\n```\n\nThe haiku (5–7–5) captures Fab",
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"outcome": "succeeded",
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"graph.rankdir": "LR",
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"internal.thread_id": "start",
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"failure_class": "",
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"current_node": "greet",
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"internal.node_visit_count": 1,
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"graph.goal": "Say hello and demonstrate a basic Fabro workflow",
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"internal.run_id": "01KRCE4MSB8DK908K6QB17Y69H",
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"outcome": "succeeded",
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"thread.start.current_node": "greet",
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"response.greet": "Done! Here's what was added to the README, just below the main tagline:\n\n```\n> *Agents run the graph*\n> *Human gates hold what matters*\n> *Ship with confidence*\n```\n\nThe haiku (5–7–5) captures Fabro's core philosophy:\n- **Line 1** — agents execute workflow graphs autonomously\n- **Line 2** — human-in-the-loop gates give engineers control at the right moments\n- **Line 3** — the end result is confidence in what ships",
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"internal.retry_count.start": 0
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"failure_signature": "",
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"last_response": "Done! Here's what was added to the README, just below the main tagline:\n\n```\n> *Agents run the graph*\n> *Human gates hold what matters*\n> *Ship with confidence*\n```\n\nThe haiku (5–7–5) captures Fab",
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"internal.work_dir": "/home/daytona/workspace"
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},
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"node_outcomes": {
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"start": {
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@ -318,15 +318,54 @@
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}
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"next_node_id": "exit",
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"git_commit_sha": "2c182ff71a85e480026654434f59dc3d3e30e589",
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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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"diff": {}
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"diff": {
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"patch": "diff --git a/README.md b/README.md\nindex 7cc53e30..d2da91dc 100644\n--- a/README.md\n+++ b/README.md\n@@ -4,6 +4,10 @@\n \n ## The open source dark software factory for expert engineers\n \n+> *Agents run the graph*\n+> *Human gates hold what matters*\n+> *Ship with confidence*\n+\n 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)\n \n [](https://github.com/fabro-sh/fabro/actions/workflows/rust.yml)\n@@ -190,4 +194,4 @@ If you need a capability which is not in-scope for Fabro, you always have the op\n \n ## License\n \n-Fabro is licensed under the [MIT License](LICENSE.md).\n+Fabro is licensed under the [MIT License](LICENSE.md).\n\\ No newline at end of file\n",
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"summary": {
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"files_changed": 1,
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"additions": 5,
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"deletions": 1
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}
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"conclusion": null,
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"conclusion": {
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"timestamp": "2026-05-11T21:13:04.288762Z",
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"status": "succeeded",
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"duration_ms": 22437,
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"final_git_commit_sha": "2c182ff71a85e480026654434f59dc3d3e30e589",
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"stages": [
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{
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"stage_label": "start",
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{
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"stage_id": "greet",
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"duration_ms": 14272,
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"billing_usd_micros": 74879,
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"retries": 0
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"billing": {
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"input_tokens": 4664,
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"total_retries": 0,
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"diff": {}
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},
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"sandbox": {
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"provider": "daytona",
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"image": "buildpack-deps:noble",
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@ -376,7 +415,12 @@
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"first_event_seq": 20,
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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": "2026-05-11T21:12:59.263737Z"
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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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@ -389,6 +433,7 @@
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"output": null,
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"started_at": "2026-05-11T21:12:44.990471Z",
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"handler": "agent",
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"duration_ms": 14272,
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"usage": {
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@ -402,7 +447,36 @@
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"provider": "anthropic",
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"model_id": "claude-sonnet-4-6"
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},
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"state": "running"
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"state": "succeeded"
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"exit@1": {
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"state": "succeeded"
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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 7cc53e30..d2da91dc 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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+> *Human gates hold what matters*
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+> *Ship with confidence*
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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
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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": "2026-05-11T21:12:59.263737Z"
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}
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6
stages/003-exit@1/status.json
Normal file
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": "2026-05-11T21:13:04.236777Z"
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}
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