# Via Claude Code (recommended)
curl -fsSL https://fabro.sh/install.md | claude

# Via Codex
codex "$(curl -fsSL https://fabro.sh/install.md)"

# Via Bash
curl -fsSL https://fabro.sh/install.sh | bash

fabro install      # global one-time setup
cd my-project
fabro init         # per-project setup (creates .fabro/ config)

# Workflow management
fabro run <workflow.dot>          # execute a workflow
fabro run <workflow.dot> --watch  # stream live output
fabro runs                        # list all runs
fabro runs show <run-id>          # inspect a specific run

# Human-in-the-loop
fabro approve <run-id>            # approve a pending gate
fabro reject <run-id>             # reject / revise a pending gate

# Sandbox access
fabro ssh <run-id>                # shell into a running sandbox
fabro preview <run-id> <port>     # expose a sandbox port locally

# Retrospectives
fabro retro <run-id>              # view run retrospective (cost, duration, narrative)

# Config
fabro config                      # view current configuration
fabro config set <key> <value>    # set a config value

// hello.dot
digraph HelloWorld {
    graph [
        goal="Say hello and write a greeting file"
        model_stylesheet="
            * { model: claude-haiku-4-5; }
        "
    ]

    start [shape=Mdiamond, label="Start"]
    exit  [shape=Msquare,  label="Exit"]

    greet [label="Greet", prompt="Write a friendly greeting to hello.txt"]

    start -> greet -> exit
}

fabro run hello.dot

digraph PlanImplementReview {
    graph [
        goal="Plan, implement, and review a feature"
        model_stylesheet="
            *          { model: claude-haiku-4-5; reasoning_effort: low; }
            .planning  { model: claude-opus-4-5;  reasoning_effort: high; }
            .coding    { model: claude-sonnet-4-5; reasoning_effort: high; }
            .review    { model: gpt-4o; }
        "
    ]

    start  [shape=Mdiamond, label="Start"]
    exit   [shape=Msquare,  label="Exit"]

    plan     [label="Plan",      class="planning", prompt="Analyze the codebase and write plan.md"]
    implement [label="Implement", class="coding",   prompt="Read plan.md and implement every step"]
    review   [label="Review",    class="review",   prompt="Cross-review the implementation for bugs and clarity"]

    start -> plan -> implement -> review -> exit
}

model: <model-id>           # e.g. claude-sonnet-4-5, gpt-4o, gemini-2-flash
reasoning_effort: low|medium|high
provider: anthropic|openai|google

digraph PlanApproveImplement {
    graph [
        goal="Plan and implement with human approval"
        model_stylesheet="
            * { model: claude-sonnet-4-5; }
        "
    ]

    start   [shape=Mdiamond, label="Start"]
    exit    [shape=Msquare,  label="Exit"]

    plan    [label="Plan",         prompt="Write a detailed implementation plan to plan.md"]
    approve [shape=hexagon,        label="Approve Plan"]
    implement [label="Implement",  prompt="Read plan.md and implement every step exactly"]

    start -> plan -> approve
    approve -> implement [label="[A] Approve"]
    approve -> plan      [label="[R] Revise"]
    implement -> exit
}

fabro runs                          # find the paused run-id
fabro approve <run-id>              # continue with implementation
fabro reject <run-id> --note "Add error handling to the plan"

digraph ImplementAndTest {
    graph [
        goal="Implement a feature and fix failing tests automatically"
        model_stylesheet="
            *       { model: claude-haiku-4-5; }
            .coding { model: claude-sonnet-4-5; reasoning_effort: high; }
        "
    ]

    start    [shape=Mdiamond, label="Start"]
    exit     [shape=Msquare,  label="Exit"]

    implement [label="Implement", class="coding",
               prompt="Implement the feature described in TASK.md"]
    test      [label="Run Tests",
               prompt="Run the test suite with `cargo test`. Report pass/fail."]
    fix       [label="Fix",       class="coding",
               prompt="Read the test failures and fix the code. Do not change tests."]

    start -> implement -> test
    test -> exit [label="[P] Pass"]
    test -> fix  [label="[F] Fail"]
    fix  -> test
}

digraph ParallelReview {
    graph [
        goal="Implement then review from multiple perspectives in parallel"
        model_stylesheet="
            *         { model: claude-haiku-4-5; }
            .coding   { model: claude-sonnet-4-5; }
            .critique { model: gpt-4o; }
        "
    ]

    start     [shape=Mdiamond, label="Start"]
    exit      [shape=Msquare,  label="Exit"]

    implement [label="Implement",      class="coding",
               prompt="Implement the task in TASK.md"]
    sec_review  [label="Security Review",  class="critique",
                 prompt="Review the implementation for security issues"]
    perf_review [label="Perf Review",      class="critique",
                 prompt="Review the implementation for performance issues"]
    summarize   [label="Summarize",
                 prompt="Combine the security and performance reviews into REVIEW.md"]

    start -> implement
    implement -> sec_review
    implement -> perf_review
    sec_review  -> summarize
    perf_review -> summarize
    summarize -> exit
}

digraph FeatureWorkflow {
    graph [
        goal="Implement {feature_name} from the spec"
        model_stylesheet="* { model: claude-sonnet-4-5; }"
    ]

    start [shape=Mdiamond, label="Start"]
    exit  [shape=Msquare,  label="Exit"]

    implement [label="Implement {feature_name}",
               prompt="Read specs/{feature_name}.md and implement the feature completely."]

    start -> implement -> exit
}

fabro run feature.dot --var feature_name=oauth-login

fabro config set sandbox.provider daytona
fabro config set sandbox.api_key $DAYTONA_API_KEY
fabro config set sandbox.region us-east-1

digraph SandboxedWorkflow {
    graph [
        goal="Implement and test in an isolated environment"
        sandbox="daytona"
        model_stylesheet="* { model: claude-sonnet-4-5; }"
    ]

    start [shape=Mdiamond, label="Start"]
    exit  [shape=Msquare,  label="Exit"]

    implement [label="Implement", prompt="Implement the feature in TASK.md"]
    test      [label="Test",      prompt="Run the full test suite and report results"]

    start -> implement -> test -> exit
}

fabro run sandboxed.dot          # spins up cloud VM, runs workflow, tears it down
fabro ssh <run-id>               # shell into the running sandbox for debugging
fabro preview <run-id> 3000      # forward sandbox port 3000 locally

fabro runs show <run-id>         # see branch names per stage
git checkout fabro/<run-id>/implement   # inspect the code at a specific stage
git diff fabro/<run-id>/plan fabro/<run-id>/implement  # diff between stages

fabro retro <run-id>

Run: implement-oauth-2024
Duration:  4m 32s
Cost:      $0.043
Files:     src/auth.rs (+142), src/lib.rs (+8), tests/auth_test.rs (+67)

Narrative:
  The agent successfully implemented OAuth2 PKCE flow. It created the auth
  module, integrated with the existing middleware, and added integration tests.
  One fix loop was needed after the token refresh test failed.

fabro serve --port 8080

curl -X POST http://localhost:8080/api/runs \
  -H "Content-Type: application/json" \
  -d '{
    "workflow": "workflows/plan-implement.dot",
    "variables": { "feature_name": "dark-mode" }
  }'

curl -N http://localhost:8080/api/runs/<run-id>/events

curl -X POST http://localhost:8080/api/runs/<run-id>/approve \
  -H "Content-Type: application/json" \
  -d '{ "decision": "approve" }'

# Required — at least one LLM provider key
export ANTHROPIC_API_KEY=...
export OPENAI_API_KEY=...
export GOOGLE_API_KEY=...

# Optional — cloud sandboxes
export DAYTONA_API_KEY=...

# Optional — Fabro API server auth
export FABRO_API_TOKEN=...

my-project/
├── .fabro/               # Fabro config (created by `fabro init`)
│   └── config.toml
├── workflows/            # Your DOT workflow definitions
│   ├── plan-implement.dot
│   ├── fix-loop.dot
│   └── ensemble-review.dot
├── specs/                # Natural language specs referenced by prompts
│   └── feature-name.md
└── src/                  # Your actual source code

digraph SpecDriven {
    graph [
        goal="Implement from spec with LLM-as-judge verification"
        model_stylesheet="
            * { model: claude-sonnet-4-5; }
        "
    ]

    start  [shape=Mdiamond, label="Start"]
    exit   [shape=Msquare,  label="Exit"]

    implement [label="Implement",
               prompt="Read specs/feature.md and implement it completely"]
    judge     [label="Judge",
               prompt="Compare the implementation against specs/feature.md. Does it conform? Reply PASS or FAIL with reasons."]
    fix       [label="Fix",
               prompt="Read the judge feedback and fix the implementation"]

    start -> implement -> judge
    judge -> exit [label="[P] PASS"]
    judge -> fix  [label="[F] FAIL"]
    fix -> judge
}

digraph CheapThenExpensive {
    graph [
        goal="Draft cheaply, refine with a frontier model"
        model_stylesheet="
            *        { model: claude-haiku-4-5; }
            .premium { model: claude-opus-4-5; reasoning_effort: high; }
        "
    ]

    start  [shape=Mdiamond, label="Start"]
    exit   [shape=Msquare,  label="Exit"]

    draft  [label="Draft",  prompt="Write a first draft implementation of the task"]
    refine [label="Refine", class="premium",
            prompt="Review and substantially improve the draft for correctness and clarity"]

    start -> draft -> refine -> exit
}