From 02d9a4034759b6f3f0ce7644a3ee6652ca2ac8b4 Mon Sep 17 00:00:00 2001 From: Fabro Date: Mon, 11 May 2026 16:14:40 -0400 Subject: [PATCH] =?UTF-8?q?init=20run=20=E2=9A=92=EF=B8=8F=20Generated=20w?= =?UTF-8?q?ith=20[Fabro](https://fabro.sh)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- graph.fabro | 60 ++++++++ run.json | 427 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 487 insertions(+) create mode 100644 graph.fabro create mode 100644 run.json diff --git a/graph.fabro b/graph.fabro new file mode 100644 index 000000000..4fa8ce18f --- /dev/null +++ b/graph.fabro @@ -0,0 +1,60 @@ +digraph Interview { + graph [goal="Run a progressive human interview and summarize the answers"] + rankdir=LR + + start [shape=Mdiamond, label="Start"] + exit [shape=Msquare, label="Exit"] + + yes_no [ + shape=hexagon, + label="Is this interview workflow easy to follow so far?", + question_type="yes_no" + ] + confirmation [ + shape=hexagon, + label="Confirm that you want to continue into more structured questions.", + question_type="confirmation" + ] + multiple_choice [ + shape=hexagon, + label="Which theme should be the center of the final summary?", + question_type="multiple_choice" + ] + multi_select [ + shape=hexagon, + label="Which supporting areas should the final summary emphasize?", + question_type="multi_select" + ] + freeform [ + shape=hexagon, + label="Add any final context, constraints, or nuance for the summary.", + question_type="freeform" + ] + summarize [ + shape=tab, + label="Summarize Interview", + fidelity="summary:high", + prompt="Summarize the full human interview. Include each question and answer in order, then synthesize the user's priorities, constraints, and open questions. Use the human.gate..question and human.gate..answer context keys when present. Do not invent missing answers." + ] + + start -> yes_no + + yes_no -> confirmation [label="[Y] Yes"] + yes_no -> confirmation [label="[N] No"] + + confirmation -> multiple_choice [label="[Y] Continue"] + confirmation -> multiple_choice [label="[N] Stop after this, but still summarize"] + + multiple_choice -> multi_select [label="[G] Goals"] + multiple_choice -> multi_select [label="[R] Risks"] + multiple_choice -> multi_select [label="[T] Tradeoffs"] + multiple_choice -> multi_select [label="[Q] Open questions"] + + multi_select -> freeform [label="[S] Success criteria"] + multi_select -> freeform [label="[B] Blockers"] + multi_select -> freeform [label="[D] Decisions needed"] + multi_select -> freeform [label="[N] Next steps"] + + freeform -> summarize [freeform=true] + summarize -> exit +} diff --git a/run.json b/run.json new file mode 100644 index 000000000..3bd0cddf1 --- /dev/null +++ b/run.json @@ -0,0 +1,427 @@ +{ + "title": "codex answer repro option_y_fresh", + "spec": { + "run_id": "01KRCATB9S8MDCEA24J1B9KFV3", + "settings": { + "project": { + "name": null, + "description": null, + "metadata": {} + }, + "workflow": { + "name": null, + "description": null, + "graph": "workflow.fabro", + "metadata": {} + }, + "run": { + "goal": { + "type": "inline", + "value": "codex answer repro option_y_fresh" + }, + "working_dir": null, + "metadata": { + "qa": "codex-answer-repro", + "case": "option_y_fresh" + }, + "inputs": {}, + "model": { + "provider": "anthropic", + "name": "claude-sonnet-4-6", + "fallbacks": [] + }, + "git": { + "author": null + }, + "prepare": { + "commands": [], + "timeout_ms": 300000 + }, + "execution": { + "mode": "normal", + "approval": "prompt" + }, + "checkpoint": { + "exclude_globs": [] + }, + "sandbox": { + "provider": "daytona", + "preserve": false, + "stop_on_terminal": true, + "devcontainer": false, + "env": {}, + "docker": { + "image": "buildpack-deps:noble", + "network_mode": null, + "memory_limit": 4000000000, + "cpu_quota": 200000, + "env_vars": {}, + "skip_clone": false + }, + "daytona": { + "auto_stop_interval": 30, + "labels": { + "repo": "fabro-sh/fabro" + }, + "snapshot": { + "name": "fabro-v8", + "cpu": 8, + "memory_gb": 16, + "disk_gb": 20, + "dockerfile": { + "type": "inline", + "value": "FROM ubuntu:24.04\n\nRUN apt-get update && apt-get install -y --no-install-recommends curl git ca-certificates build-essential pkg-config libssl-dev unzip python3 && rm -rf /var/lib/apt/lists/*\n\n# GitHub CLI\nRUN curl -fsSL https://cli.github.com/packages/githubcli-archive-keyring.gpg | dd of=/usr/share/keyrings/githubcli-archive-keyring.gpg && echo \"deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/githubcli-archive-keyring.gpg] https://cli.github.com/packages stable main\" | tee /etc/apt/sources.list.d/github-cli.list > /dev/null && apt-get update && apt-get install -y --no-install-recommends gh && rm -rf /var/lib/apt/lists/*\n\n# Rust\nRUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y\nENV PATH=\"/root/.cargo/bin:${PATH}\"\nRUN rustup toolchain install nightly-2026-04-14 --profile minimal --component clippy,rustfmt\nRUN cargo install cargo-nextest --locked\nENV CARGO_INCREMENTAL=0\n\n# Bun\nRUN curl -fsSL https://bun.sh/install | bash\nENV PATH=\"/root/.bun/bin:${PATH}\"\n\nWORKDIR /root\n" + } + }, + "network": null, + "skip_clone": false + } + }, + "notifications": {}, + "interviews": { + "provider": null, + "slack": null + }, + "agent": { + "permissions": null, + "mcps": {} + }, + "hooks": [], + "scm": { + "provider": null, + "owner": null, + "repository": null, + "github": null + }, + "pull_request": { + "enabled": true, + "draft": false, + "auto_merge": false, + "merge_strategy": "squash" + }, + "artifacts": { + "include": [] + }, + "integrations": { + "github": { + "permissions": {} + } + } + } + }, + "graph": { + "name": "Interview", + "nodes": { + "yes_no": { + "id": "yes_no", + "attrs": { + "shape": { + "String": "hexagon" + }, + "question_type": { + "String": "yes_no" + }, + "label": { + "String": "Is this interview workflow easy to follow so far?" + } + } + }, + "multiple_choice": { + "id": "multiple_choice", + "attrs": { + "question_type": { + "String": "multiple_choice" + }, + "shape": { + "String": "hexagon" + }, + "label": { + "String": "Which theme should be the center of the final summary?" + } + } + }, + "multi_select": { + "id": "multi_select", + "attrs": { + "shape": { + "String": "hexagon" + }, + "label": { + "String": "Which supporting areas should the final summary emphasize?" + }, + "question_type": { + "String": "multi_select" + } + } + }, + "start": { + "id": "start", + "attrs": { + "shape": { + "String": "Mdiamond" + }, + "label": { + "String": "Start" + } + } + }, + "confirmation": { + "id": "confirmation", + "attrs": { + "label": { + "String": "Confirm that you want to continue into more structured questions." + }, + "question_type": { + "String": "confirmation" + }, + "shape": { + "String": "hexagon" + } + } + }, + "freeform": { + "id": "freeform", + "attrs": { + "label": { + "String": "Add any final context, constraints, or nuance for the summary." + }, + "question_type": { + "String": "freeform" + }, + "shape": { + "String": "hexagon" + } + } + }, + "summarize": { + "id": "summarize", + "attrs": { + "prompt": { + "String": "Summarize the full human interview. Include each question and answer in order, then synthesize the user's priorities, constraints, and open questions. Use the human.gate..question and human.gate..answer context keys when present. Do not invent missing answers." + }, + "fidelity": { + "String": "summary:high" + }, + "shape": { + "String": "tab" + }, + "label": { + "String": "Summarize Interview" + } + } + }, + "exit": { + "id": "exit", + "attrs": { + "shape": { + "String": "Msquare" + }, + "label": { + "String": "Exit" + } + } + } + }, + "edges": [ + { + "from": "start", + "to": "yes_no", + "attrs": {} + }, + { + "from": "yes_no", + "to": "confirmation", + "attrs": { + "label": { + "String": "[Y] Yes" + } + } + }, + { + "from": "yes_no", + "to": "confirmation", + "attrs": { + "label": { + "String": "[N] No" + } + } + }, + { + "from": "confirmation", + "to": "multiple_choice", + "attrs": { + "label": { + "String": "[Y] Continue" + } + } + }, + { + "from": "confirmation", + "to": "multiple_choice", + "attrs": { + "label": { + "String": "[N] Stop after this, but still summarize" + } + } + }, + { + "from": "multiple_choice", + "to": "multi_select", + "attrs": { + "label": { + "String": "[G] Goals" + } + } + }, + { + "from": "multiple_choice", + "to": "multi_select", + "attrs": { + "label": { + "String": "[R] Risks" + } + } + }, + { + "from": "multiple_choice", + "to": "multi_select", + "attrs": { + "label": { + "String": "[T] Tradeoffs" + } + } + }, + { + "from": "multiple_choice", + "to": "multi_select", + "attrs": { + "label": { + "String": "[Q] Open questions" + } + } + }, + { + "from": "multi_select", + "to": "freeform", + "attrs": { + "label": { + "String": "[S] Success criteria" + } + } + }, + { + "from": "multi_select", + "to": "freeform", + "attrs": { + "label": { + "String": "[B] Blockers" + } + } + }, + { + "from": "multi_select", + "to": "freeform", + "attrs": { + "label": { + "String": "[D] Decisions needed" + } + } + }, + { + "from": "multi_select", + "to": "freeform", + "attrs": { + "label": { + "String": "[N] Next steps" + } + } + }, + { + "from": "freeform", + "to": "summarize", + "attrs": { + "freeform": { + "Boolean": true + } + } + }, + { + "from": "summarize", + "to": "exit", + "attrs": {} + } + ], + "attrs": { + "rankdir": { + "String": "LR" + }, + "goal": { + "String": "codex answer repro option_y_fresh" + } + } + }, + "graph_source": "digraph Interview {\n graph [goal=\"Run a progressive human interview and summarize the answers\"]\n rankdir=LR\n\n start [shape=Mdiamond, label=\"Start\"]\n exit [shape=Msquare, label=\"Exit\"]\n\n yes_no [\n shape=hexagon,\n label=\"Is this interview workflow easy to follow so far?\",\n question_type=\"yes_no\"\n ]\n confirmation [\n shape=hexagon,\n label=\"Confirm that you want to continue into more structured questions.\",\n question_type=\"confirmation\"\n ]\n multiple_choice [\n shape=hexagon,\n label=\"Which theme should be the center of the final summary?\",\n question_type=\"multiple_choice\"\n ]\n multi_select [\n shape=hexagon,\n label=\"Which supporting areas should the final summary emphasize?\",\n question_type=\"multi_select\"\n ]\n freeform [\n shape=hexagon,\n label=\"Add any final context, constraints, or nuance for the summary.\",\n question_type=\"freeform\"\n ]\n summarize [\n shape=tab,\n label=\"Summarize Interview\",\n fidelity=\"summary:high\",\n prompt=\"Summarize the full human interview. 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