From 2b542a822f7e79afa454fcd7db197ba1efeea705 Mon Sep 17 00:00:00 2001 From: Fabro Date: Mon, 11 May 2026 15:06:10 -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 | 425 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 485 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..7ef14f519 --- /dev/null +++ b/run.json @@ -0,0 +1,425 @@ +{ + "title": "wire trace", + "spec": { + "run_id": "01KRC6WZ6R40RWQJ118Q8A0N15", + "settings": { + "project": { + "name": null, + "description": null, + "metadata": {} + }, + "workflow": { + "name": null, + "description": null, + "graph": "workflow.fabro", + "metadata": {} + }, + "run": { + "goal": { + "type": "inline", + "value": "wire trace" + }, + "working_dir": null, + "metadata": { + "qa": "wire-trace" + }, + "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": { + "freeform": { + "id": "freeform", + "attrs": { + "question_type": { + "String": "freeform" + }, + "label": { + "String": "Add any final context, constraints, or nuance for the summary." + }, + "shape": { + "String": "hexagon" + } + } + }, + "yes_no": { + "id": "yes_no", + "attrs": { + "shape": { + "String": "hexagon" + }, + "label": { + "String": "Is this interview workflow easy to follow so far?" + }, + "question_type": { + "String": "yes_no" + } + } + }, + "multi_select": { + "id": "multi_select", + "attrs": { + "shape": { + "String": "hexagon" + }, + "label": { + "String": "Which supporting areas should the final summary emphasize?" + }, + "question_type": { + "String": "multi_select" + } + } + }, + "multiple_choice": { + "id": "multiple_choice", + "attrs": { + "shape": { + "String": "hexagon" + }, + "label": { + "String": "Which theme should be the center of the final summary?" + }, + "question_type": { + "String": "multiple_choice" + } + } + }, + "confirmation": { + "id": "confirmation", + "attrs": { + "label": { + "String": "Confirm that you want to continue into more structured questions." + }, + "shape": { + "String": "hexagon" + }, + "question_type": { + "String": "confirmation" + } + } + }, + "exit": { + "id": "exit", + "attrs": { + "shape": { + "String": "Msquare" + }, + "label": { + "String": "Exit" + } + } + }, + "start": { + "id": "start", + "attrs": { + "shape": { + "String": "Mdiamond" + }, + "label": { + "String": "Start" + } + } + }, + "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." + }, + "label": { + "String": "Summarize Interview" + }, + "fidelity": { + "String": "summary:high" + }, + "shape": { + "String": "tab" + } + } + } + }, + "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": { + "goal": { + "String": "wire trace" + }, + "rankdir": { + "String": "LR" + } + } + }, + "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. 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. 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