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resolutionflow/docs/superpowers/plans/2026-03-21-flowpilot-message-bar-and-script-builder.md
2026-03-21 16:46:26 -04:00

66 KiB

FlowPilot Message Bar & AI Script Builder — Implementation Plan

For agentic workers: REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (- [ ]) syntax for tracking.

Goal: Add an always-visible message bar to FlowPilot sessions, build a standalone AI Script Builder with chat-style UX and fullscreen preview modal, reorganize the Script Library with My/Team tabs, and connect FlowPilot to the Script Builder.

Architecture: Five phases executed sequentially. Phase 1 is frontend-only (message bar). Phases 2-3 add the Script Builder (new model, service, endpoints, chat page, preview modal, save flow). Phase 4 reorganizes the existing Script Library. Phase 5 wires FlowPilot to the Script Builder.

Tech Stack: FastAPI, SQLAlchemy 2.0 (async), Alembic, Anthropic Claude API (Sonnet), React 19, TypeScript, Zustand, Tailwind CSS, react-syntax-highlighter, Lucide React

Spec: docs/superpowers/specs/2026-03-21-flowpilot-message-bar-and-script-builder-design.md


File Map

Phase 1 — Message Bar

Action File
Create frontend/src/components/flowpilot/FlowPilotMessageBar.tsx
Modify frontend/src/components/flowpilot/FlowPilotSession.tsx
Modify frontend/src/components/flowpilot/FlowPilotStepCard.tsx

Phase 2 — Script Builder Core (Backend)

Action File
Create backend/app/models/script_builder_session.py
Modify backend/alembic/env.py (import new model)
Create backend/alembic/versions/<id>_add_script_builder_sessions.py (migration)
Create backend/app/schemas/script_builder.py
Create backend/app/services/script_builder_service.py
Create backend/app/api/endpoints/script_builder.py
Modify backend/app/api/router.py (register new router)
Modify backend/app/core/config.py (add script_build action to ACTION_MODEL_MAP)
Create backend/tests/test_script_builder.py

Phase 2 — Script Builder Core (Frontend)

Action File
Create frontend/src/types/script-builder.ts
Modify frontend/src/types/index.ts (export new types)
Create frontend/src/api/scriptBuilder.ts
Modify frontend/src/api/index.ts (export new API module)
Create frontend/src/pages/ScriptBuilderPage.tsx
Create frontend/src/components/script-builder/ScriptBuilderChat.tsx
Create frontend/src/components/script-builder/ScriptBuilderInput.tsx
Create frontend/src/components/script-builder/ScriptCodeBlock.tsx
Modify frontend/src/router.tsx (add route)
Modify frontend/src/components/layout/Sidebar.tsx (add nav item)
Modify frontend/src/components/layout/AppLayout.tsx (add mobile nav item)

Phase 3 — Preview Modal & Save Flow

Action File
Create frontend/src/components/script-builder/ScriptPreviewModal.tsx
Create frontend/src/components/script-builder/SaveToLibraryDialog.tsx
Modify frontend/src/components/script-builder/ScriptCodeBlock.tsx (wire modal + save)
Modify frontend/src/api/scriptBuilder.ts (add save method)

Phase 4 — Library Reorganization

Action File
Create backend/alembic/versions/<id>_add_language_and_ai_generated_category.py (migration)
Modify backend/app/models/script_template.py (add language column)
Modify backend/app/schemas/script_template.py (add language field, SaveToLibraryRequest)
Modify backend/app/api/endpoints/scripts.py (add mine filter)
Modify frontend/src/pages/ScriptLibraryPage.tsx (tabs + Build button)
Modify frontend/src/types/scripts.ts (add language field)

Phase 5 — FlowPilot Integration

Action File
Modify backend/app/services/flowpilot_engine.py (prompt update for script detection)
Modify frontend/src/components/flowpilot/FlowPilotStepCard.tsx (Script Builder action button)

Phase 1: Always-Visible Message Bar

Task 1.1: Create FlowPilotMessageBar Component

Files:

  • Create: frontend/src/components/flowpilot/FlowPilotMessageBar.tsx

  • Step 1: Create the message bar component

// frontend/src/components/flowpilot/FlowPilotMessageBar.tsx
import { useState, useRef, useCallback } from 'react'
import { Send } from 'lucide-react'
import { cn } from '@/lib/utils'
import type { StepResponseRequest } from '@/types/ai-session'

interface FlowPilotMessageBarProps {
  onRespond: (response: StepResponseRequest) => void
  disabled?: boolean
  isProcessing?: boolean
}

export function FlowPilotMessageBar({ onRespond, disabled = false, isProcessing = false }: FlowPilotMessageBarProps) {
  const [message, setMessage] = useState('')
  const textareaRef = useRef<HTMLTextAreaElement>(null)

  const isDisabled = disabled || isProcessing

  const handleSubmit = useCallback(() => {
    const trimmed = message.trim()
    if (!trimmed || isDisabled) return
    onRespond({ free_text_input: trimmed })
    setMessage('')
    // Reset textarea height
    if (textareaRef.current) {
      textareaRef.current.style.height = 'auto'
    }
  }, [message, isDisabled, onRespond])

  const handleKeyDown = useCallback((e: React.KeyboardEvent) => {
    if (e.key === 'Enter' && !e.shiftKey) {
      e.preventDefault()
      handleSubmit()
    }
  }, [handleSubmit])

  const handleInput = useCallback((e: React.ChangeEvent<HTMLTextAreaElement>) => {
    setMessage(e.target.value)
    // Auto-resize textarea
    const textarea = e.target
    textarea.style.height = 'auto'
    textarea.style.height = `${Math.min(textarea.scrollHeight, 120)}px`
  }, [])

  return (
    <div className="px-3 sm:px-4 lg:px-5 pb-3">
      <div className={cn(
        'flex items-end gap-2 rounded-xl border bg-card p-2 transition-colors',
        isDisabled
          ? 'border-border/50 opacity-50'
          : 'border-border focus-within:border-[rgba(6,182,212,0.3)]'
      )}>
        <textarea
          ref={textareaRef}
          value={message}
          onChange={handleInput}
          onKeyDown={handleKeyDown}
          placeholder={isProcessing ? 'FlowPilot is thinking...' : 'Type a message...'}
          disabled={isDisabled}
          rows={1}
          className="flex-1 resize-none bg-transparent text-sm text-foreground placeholder:text-muted-foreground focus:outline-none disabled:cursor-not-allowed py-1.5 px-2"
        />
        <button
          onClick={handleSubmit}
          disabled={isDisabled || !message.trim()}
          className={cn(
            'flex h-8 w-8 shrink-0 items-center justify-center rounded-lg transition-all',
            message.trim() && !isDisabled
              ? 'bg-gradient-brand text-[#101114] hover:opacity-90 active:scale-[0.97]'
              : 'bg-[rgba(255,255,255,0.04)] text-muted-foreground cursor-not-allowed'
          )}
        >
          <Send size={14} />
        </button>
      </div>
    </div>
  )
}
  • Step 2: Verify the component compiles

Run: cd frontend && npx tsc --noEmit --pretty 2>&1 | head -20 Expected: No errors related to FlowPilotMessageBar

Task 1.2: Integrate Message Bar into FlowPilotSession

Files:

  • Modify: frontend/src/components/flowpilot/FlowPilotSession.tsx

  • Step 1: Read the current FlowPilotSession component

Read: frontend/src/components/flowpilot/FlowPilotSession.tsx Identify: Where the step cards are rendered and where FlowPilotActionBar is placed.

  • Step 2: Import and add FlowPilotMessageBar

Add import at top:

import { FlowPilotMessageBar } from './FlowPilotMessageBar'

Add the message bar between the step card list and the action bar. It should be inside the conversation column, after the scrollable step list, pinned to the bottom. The message bar should:

  • Receive the same onRespond callback used by step cards
  • Be disabled when isProcessing is true
  • Be disabled when session.status !== 'active'
  • Be disabled when the current step has allow_free_text === false

The allow_free_text check requires reading the current step. Use the last step in allSteps (the current step) to check the flag.

  • Step 3: Verify the component compiles

Run: cd frontend && npx tsc --noEmit --pretty 2>&1 | head -20 Expected: No errors

Task 1.3: Remove Free Text Escape Hatch from FlowPilotStepCard

Files:

  • Modify: frontend/src/components/flowpilot/FlowPilotStepCard.tsx

  • Step 1: Read the current file

Read: frontend/src/components/flowpilot/FlowPilotStepCard.tsx Identify: The free text escape hatch block — the {!isResolutionSuggestion && step.allow_free_text && ...} conditional (around lines 201-238).

  • Step 2: Remove the free text escape hatch block

Remove the entire {!isResolutionSuggestion && step.allow_free_text && ...} block (the "None of these — let me describe" button, the RichTextInput, and the Submit/Cancel buttons).

Also remove unused state and imports that were only used by the escape hatch:

  • const [freeText, setFreeText] = useState('')
  • const [showFreeText, setShowFreeText] = useState(false)
  • const [_freeTextUploads, setFreeTextUploads] = useState<FileUploadResponse[]>([])
  • import { RichTextInput } from '@/components/common/RichTextInput'
  • import type { FileUploadResponse } from '@/types/upload'
  • The handleFreeTextSubmit function

Keep handleOptionSelect, handleSkip, handleActionComplete, handleResolutionResponse — those are still used.

  • Step 3: Verify build passes

Run: cd frontend && npm run build 2>&1 | tail -20 Expected: Build succeeds with no errors

  • Step 4: Commit Phase 1
git add frontend/src/components/flowpilot/FlowPilotMessageBar.tsx \
  frontend/src/components/flowpilot/FlowPilotSession.tsx \
  frontend/src/components/flowpilot/FlowPilotStepCard.tsx
git commit -m "feat(flowpilot): add always-visible message bar, remove hidden free text escape hatch

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>"

Phase 2: Script Builder Core — Backend

Task 2.1: Create ScriptBuilderSession Model

Files:

  • Create: backend/app/models/script_builder_session.py

  • Modify: backend/alembic/env.py

  • Step 1: Create the model

# backend/app/models/script_builder_session.py
"""Script Builder session model.

Tracks AI-powered script generation conversations.
"""
import uuid
from datetime import datetime, timezone
from typing import Optional, Any, TYPE_CHECKING

from sqlalchemy import String, Text, DateTime, ForeignKey, Integer
from sqlalchemy.orm import Mapped, mapped_column, relationship
from sqlalchemy.dialects.postgresql import UUID, JSONB

from app.core.database import Base

if TYPE_CHECKING:
    from app.models.user import User


class ScriptBuilderSession(Base):
    """A conversation session in the AI Script Builder.

    Each session tracks a multi-turn conversation where the user
    describes what script they need and the AI generates it.
    """
    __tablename__ = "script_builder_sessions"

    id: Mapped[uuid.UUID] = mapped_column(
        UUID(as_uuid=True), primary_key=True, default=uuid.uuid4
    )
    user_id: Mapped[uuid.UUID] = mapped_column(
        UUID(as_uuid=True),
        ForeignKey("users.id", ondelete="CASCADE"),
        nullable=False,
        index=True,
    )
    team_id: Mapped[Optional[uuid.UUID]] = mapped_column(
        UUID(as_uuid=True),
        ForeignKey("teams.id", ondelete="SET NULL"),
        nullable=True,
    )
    language: Mapped[str] = mapped_column(
        String(30), nullable=False, default="powershell",
        comment="Script language: powershell, bash, python",
    )
    title: Mapped[Optional[str]] = mapped_column(
        String(200), nullable=True,
        comment="Auto-generated from first AI response",
    )
    messages: Mapped[list[dict[str, Any]]] = mapped_column(
        JSONB, nullable=False, default=list,
        comment="Array of {role, content, script?, script_filename?, timestamp}",
    )
    latest_script: Mapped[Optional[str]] = mapped_column(
        Text, nullable=True,
        comment="Most recent generated script for quick access",
    )
    latest_script_filename: Mapped[Optional[str]] = mapped_column(
        String(200), nullable=True,
        comment="Filename of the latest generated script",
    )
    message_count: Mapped[int] = mapped_column(
        Integer, nullable=False, default=0,
    )
    ai_session_id: Mapped[Optional[uuid.UUID]] = mapped_column(
        UUID(as_uuid=True),
        ForeignKey("ai_sessions.id", ondelete="SET NULL"),
        nullable=True,
        comment="Link to FlowPilot session if launched from there",
    )

    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
    )
    updated_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True),
        default=lambda: datetime.now(timezone.utc),
        onupdate=lambda: datetime.now(timezone.utc),
    )

    # Relationships
    user: Mapped["User"] = relationship("User")
  • Step 2: Import model in alembic/env.py

Read backend/alembic/env.py and add the import alongside existing model imports:

from app.models.script_builder_session import ScriptBuilderSession  # noqa: F401
  • Step 3: Generate migration

Run: cd backend && alembic revision --autogenerate -m "add_script_builder_sessions_table" --rev-id=062

  • Step 4: Review the generated migration

Read the generated migration file. Verify it creates the script_builder_sessions table with all columns and indexes. Remove any unrelated DROP/ALTER operations (per CLAUDE.md lesson #17).

  • Step 5: Run migration

Run: cd backend && alembic upgrade head Expected: Migration applies successfully

  • Step 6: Commit
git add backend/app/models/script_builder_session.py \
  backend/alembic/env.py \
  backend/alembic/versions/
git commit -m "feat: add ScriptBuilderSession model and migration

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>"

Task 2.2: Create Pydantic Schemas

Files:

  • Create: backend/app/schemas/script_builder.py

  • Step 1: Create the schemas

# backend/app/schemas/script_builder.py
"""Pydantic schemas for the AI Script Builder."""
from datetime import datetime
from typing import Any, Optional
from uuid import UUID

from pydantic import BaseModel, Field


class ScriptBuilderCreateRequest(BaseModel):
    """Request to start a new builder session."""
    language: str = Field(
        default="powershell",
        pattern=r"^(powershell|bash|python)$",
        description="Script language",
    )


class ScriptBuilderMessageRequest(BaseModel):
    """User message in a builder session."""
    content: str = Field(min_length=1, max_length=5000)


class ScriptBuilderMessageResponse(BaseModel):
    """AI response to a builder message."""
    role: str = "assistant"
    content: str
    script: str | None = None
    script_filename: str | None = None
    line_count: int | None = None
    timestamp: datetime

    model_config = {"from_attributes": True}


class ScriptBuilderSessionSummary(BaseModel):
    """Lightweight session for list views (no messages)."""
    id: UUID
    language: str
    title: str | None = None
    message_count: int
    latest_script_filename: str | None = None
    created_at: datetime
    updated_at: datetime

    model_config = {"from_attributes": True}


class ScriptBuilderSessionDetail(BaseModel):
    """Full session with message history."""
    id: UUID
    language: str
    title: str | None = None
    messages: list[dict[str, Any]]
    latest_script: str | None = None
    latest_script_filename: str | None = None
    message_count: int
    ai_session_id: UUID | None = None
    created_at: datetime
    updated_at: datetime

    model_config = {"from_attributes": True}


class SaveToLibraryRequest(BaseModel):
    """Request to save a generated script to the Script Library."""
    name: str = Field(min_length=1, max_length=200)
    description: str | None = None
    category_id: UUID | None = None
    share_with_team: bool = False
  • Step 2: Verify schemas compile

Run: cd backend && python -c "from app.schemas.script_builder import *; print('OK')" Expected: OK

Task 2.3: Create Script Builder Service

Files:

  • Create: backend/app/services/script_builder_service.py

  • Modify: backend/app/core/config.py

  • Step 1: Add script_build action to config.py

Read backend/app/core/config.py and find the ACTION_MODEL_MAP dict. Add:

"script_build": "standard",
  • Step 2: Create the service
# backend/app/services/script_builder_service.py
"""AI Script Builder service — generates scripts from natural language descriptions."""
import logging
import re
from datetime import datetime, timezone
from typing import Optional
from uuid import UUID

from sqlalchemy import select, func
from sqlalchemy.ext.asyncio import AsyncSession

from app.core.ai_provider import get_ai_provider
from app.core.config import settings
from app.models.script_builder_session import ScriptBuilderSession
from app.schemas.script_builder import (
    ScriptBuilderMessageResponse,
    ScriptBuilderSessionDetail,
    ScriptBuilderSessionSummary,
)

logger = logging.getLogger(__name__)

MAX_MESSAGES_PER_SESSION = 30

LANGUAGE_PROMPTS = {
    "powershell": """\
You are an expert PowerShell script writer for MSP (Managed Service Provider) environments.

## Script Standards
- Use Advanced Functions with CmdletBinding and param() blocks
- Include comment-based help (.SYNOPSIS, .DESCRIPTION, .PARAMETER, .EXAMPLE)
- Use try/catch/finally for error handling
- Use Write-Verbose for diagnostic output, Write-Error for failures
- Support pipeline input where appropriate
- Use approved PowerShell verbs (Get-, Set-, New-, Remove-, etc.)
- Import required modules at the top (e.g., Import-Module ActiveDirectory)
- Use [Parameter(Mandatory=$true)] for required params
- Default to UTF-8 output for exports

## Security
- Never hardcode credentials — use Get-Credential or SecureString params
- Use -WhatIf and -Confirm support via SupportsShouldProcess
- Validate input with ValidateSet, ValidatePattern, ValidateRange
""",
    "bash": """\
You are an expert Bash script writer for Linux/macOS system administration.

## Script Standards
- Start with #!/bin/bash
- Use set -euo pipefail for safety
- Parse arguments with getopts or positional parameters
- Include a usage() function for --help
- Use functions for logical grouping
- Quote all variable expansions ("$var" not $var)
- Use [[ ]] for conditionals (not [ ])
- Add comments explaining non-obvious logic
- Use lowercase_with_underscores for variable names
- Exit with meaningful exit codes (0=success, 1=general error, 2=usage error)

## Security
- Never store passwords in scripts — use environment variables or prompts
- Validate all user inputs
- Use mktemp for temporary files
""",
    "python": """\
You are an expert Python script writer for IT automation and system administration.

## Script Standards
- Use Python 3.10+ syntax
- Add type hints to all function signatures
- Use argparse for CLI argument parsing
- Include if __name__ == "__main__": guard
- Use logging module (not print) for diagnostic output
- Use docstrings for functions and modules
- Use pathlib.Path instead of os.path
- Handle exceptions with specific exception types
- Use f-strings for string formatting
- Follow PEP 8 naming conventions

## Security
- Never hardcode secrets — use environment variables or config files
- Validate and sanitize all user inputs
- Use subprocess.run() with shell=False (never shell=True with user input)
""",
}

SYSTEM_PROMPT_TEMPLATE = """\
{language_prompt}

## Response Format
Respond conversationally. When generating a script:
1. Briefly explain what the script does and any assumptions
2. Include the complete script in a single fenced code block with the language tag
3. Suggest a filename (e.g., `Get-LinkedGPOs.ps1`)

When the user asks for modifications, generate the COMPLETE updated script (not a diff).

## Context
The user is an MSP engineer using ResolutionFlow. They need scripts for managing client infrastructure.
Keep scripts practical, production-ready, and well-documented.\
"""


def _extract_script_from_response(content: str, language: str) -> tuple[str | None, str | None]:
    """Extract code block and filename from AI response.

    Returns (script, filename) tuple.
    """
    # Map language to code fence tags
    lang_tags = {
        "powershell": ["powershell", "ps1", "pwsh"],
        "bash": ["bash", "sh", "shell"],
        "python": ["python", "py", "python3"],
    }
    tags = lang_tags.get(language, [language])

    # Try each language-specific tag, then fall back to generic fence
    script = None
    for tag in tags:
        pattern = rf"```{tag}\s*\n(.*?)```"
        match = re.search(pattern, content, re.DOTALL | re.IGNORECASE)
        if match:
            script = match.group(1).strip()
            break
    else:
        # Try generic code fence
        pattern = r"```\s*\n(.*?)```"
        match = re.search(pattern, content, re.DOTALL)
        script = match.group(1).strip() if match else None

    # Extract filename suggestion
    filename = None
    ext_map = {"powershell": ".ps1", "bash": ".sh", "python": ".py"}
    ext = ext_map.get(language, ".txt")
    filename_pattern = rf"`([A-Za-z0-9_\-]+{re.escape(ext)})`"
    fname_match = re.search(filename_pattern, content)
    if fname_match:
        filename = fname_match.group(1)

    return script, filename


async def create_session(
    db: AsyncSession,
    user_id: UUID,
    team_id: UUID | None,
    language: str,
    initial_prompt: str | None = None,
) -> ScriptBuilderSession:
    """Create a new Script Builder session."""
    session = ScriptBuilderSession(
        user_id=user_id,
        team_id=team_id,
        language=language,
        messages=[],
        message_count=0,
    )
    db.add(session)
    await db.flush()

    # If initial prompt provided (e.g., from FlowPilot), send first message
    if initial_prompt:
        await send_message(db, session, initial_prompt)

    return session


async def send_message(
    db: AsyncSession,
    session: ScriptBuilderSession,
    user_content: str,
) -> ScriptBuilderMessageResponse:
    """Send a user message and get AI response with generated script."""
    if session.message_count >= MAX_MESSAGES_PER_SESSION:
        raise ValueError(f"Session has reached the maximum of {MAX_MESSAGES_PER_SESSION} messages.")

    now = datetime.now(timezone.utc)

    # Append user message
    user_msg = {
        "role": "user",
        "content": user_content,
        "timestamp": now.isoformat(),
    }
    messages = list(session.messages or [])
    messages.append(user_msg)

    # Build system prompt
    language_prompt = LANGUAGE_PROMPTS.get(session.language, LANGUAGE_PROMPTS["powershell"])
    system_prompt = SYSTEM_PROMPT_TEMPLATE.format(language_prompt=language_prompt)

    # Build conversation for AI (just role + content)
    ai_messages = [{"role": m["role"], "content": m["content"]} for m in messages]

    # Context window management: keep last 20 messages (10 exchanges)
    if len(ai_messages) > 20:
        ai_messages = ai_messages[-20:]

    # Call AI
    model = settings.get_model_for_action("script_build")
    provider = get_ai_provider(model=model)
    ai_text, input_tokens, output_tokens = await provider.generate_text(
        system_prompt=system_prompt,
        messages=ai_messages,
        max_tokens=8192,
    )

    # Extract script from response
    script, filename = _extract_script_from_response(ai_text, session.language)
    line_count = len(script.splitlines()) if script else None

    # Build assistant message
    assistant_msg = {
        "role": "assistant",
        "content": ai_text,
        "timestamp": datetime.now(timezone.utc).isoformat(),
        "input_tokens": input_tokens,
        "output_tokens": output_tokens,
    }
    if script:
        assistant_msg["script"] = script
        assistant_msg["script_filename"] = filename
        assistant_msg["line_count"] = line_count

    messages.append(assistant_msg)

    # Update session
    session.messages = messages
    session.message_count = len([m for m in messages if m["role"] == "user"])
    if script:
        session.latest_script = script
        session.latest_script_filename = filename
    if not session.title and len(messages) >= 2:
        # Auto-generate title from first user message (truncate)
        first_user = user_content[:100]
        session.title = first_user if len(user_content) <= 100 else first_user + "..."
    session.updated_at = datetime.now(timezone.utc)

    await db.flush()

    return ScriptBuilderMessageResponse(
        role="assistant",
        content=ai_text,
        script=script,
        script_filename=filename,
        line_count=line_count,
        timestamp=datetime.now(timezone.utc),
    )


async def get_session(
    db: AsyncSession,
    session_id: UUID,
    user_id: UUID,
) -> ScriptBuilderSession | None:
    """Get a session by ID, ensuring the user owns it."""
    result = await db.execute(
        select(ScriptBuilderSession).where(
            ScriptBuilderSession.id == session_id,
            ScriptBuilderSession.user_id == user_id,
        )
    )
    return result.scalar_one_or_none()


async def list_sessions(
    db: AsyncSession,
    user_id: UUID,
    limit: int = 20,
    offset: int = 0,
) -> list[ScriptBuilderSession]:
    """List user's builder sessions ordered by updated_at desc."""
    result = await db.execute(
        select(ScriptBuilderSession)
        .where(ScriptBuilderSession.user_id == user_id)
        .order_by(ScriptBuilderSession.updated_at.desc())
        .limit(limit)
        .offset(offset)
    )
    return list(result.scalars().all())


async def delete_session(
    db: AsyncSession,
    session_id: UUID,
    user_id: UUID,
) -> bool:
    """Delete a builder session. Returns True if deleted."""
    session = await get_session(db, session_id, user_id)
    if not session:
        return False
    await db.delete(session)
    await db.flush()
    return True


async def count_user_sessions(db: AsyncSession, user_id: UUID) -> int:
    """Count active builder sessions for a user."""
    result = await db.execute(
        select(func.count(ScriptBuilderSession.id)).where(
            ScriptBuilderSession.user_id == user_id
        )
    )
    return result.scalar_one()


async def save_to_library(
    db: AsyncSession,
    session: ScriptBuilderSession,
    name: str,
    description: str | None,
    category_id: UUID | None,
    share_with_team: bool,
    user_id: UUID,
    team_id: UUID | None,
) -> "ScriptTemplate":
    """Save the latest generated script to the Script Library as a ScriptTemplate."""
    import uuid as uuid_mod
    from app.models.script_template import ScriptTemplate, ScriptCategory

    if not session.latest_script:
        raise ValueError("No script has been generated in this session yet")

    # Resolve category: use provided, or find "AI Generated" default
    resolved_category_id = category_id
    if not resolved_category_id:
        result = await db.execute(
            select(ScriptCategory.id).where(ScriptCategory.slug == "ai-generated")
        )
        default_cat = result.scalar_one_or_none()
        if not default_cat:
            raise ValueError("Default 'AI Generated' category not found. Run migrations.")
        resolved_category_id = default_cat

    # Generate unique slug
    base_slug = name.lower().replace(" ", "-").replace("_", "-")[:80]
    base_slug = re.sub(r"[^a-z0-9\-]", "", base_slug)
    slug = base_slug
    # Check uniqueness
    existing = await db.execute(
        select(ScriptTemplate.id).where(ScriptTemplate.slug == slug)
    )
    if existing.scalar_one_or_none():
        slug = f"{base_slug}-{uuid_mod.uuid4().hex[:6]}"

    template = ScriptTemplate(
        id=uuid_mod.uuid4(),
        category_id=resolved_category_id,
        created_by=user_id,
        team_id=team_id if share_with_team else None,
        name=name,
        slug=slug,
        description=description,
        script_body=session.latest_script,
        language=session.language,
        parameters_schema={"parameters": []},
        default_values={},
        validation_rules={},
        tags=[session.language, "ai-generated"],
        complexity="intermediate",
        is_verified=False,
        is_active=True,
        version=1,
        usage_count=0,
    )
    db.add(template)
    await db.flush()
    return template
  • Step 3: Verify service compiles

Run: cd backend && python -c "from app.services.script_builder_service import *; print('OK')" Expected: OK

  • Step 4: Commit
git add backend/app/services/script_builder_service.py \
  backend/app/schemas/script_builder.py \
  backend/app/core/config.py
git commit -m "feat: add Script Builder service with language-specific prompts

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>"

Task 2.4: Create API Endpoints

Files:

  • Create: backend/app/api/endpoints/script_builder.py

  • Modify: backend/app/api/router.py

  • Step 1: Create the endpoints

# backend/app/api/endpoints/script_builder.py
"""Script Builder API endpoints."""
from typing import Annotated
from uuid import UUID

from fastapi import APIRouter, Depends, HTTPException, Request
from sqlalchemy.ext.asyncio import AsyncSession

from app.core.database import get_db
from app.core.rate_limit import limiter
from app.api.deps import get_current_active_user
from app.models.user import User
from app.schemas.script_builder import (
    ScriptBuilderCreateRequest,
    ScriptBuilderMessageRequest,
    ScriptBuilderMessageResponse,
    ScriptBuilderSessionDetail,
    ScriptBuilderSessionSummary,
    SaveToLibraryRequest,
)
from app.schemas.script_template import ScriptTemplateDetail
from app.services import script_builder_service

router = APIRouter(prefix="/scripts/builder", tags=["script-builder"])

MAX_SESSIONS_PER_USER = 5


@router.post("/sessions", response_model=ScriptBuilderSessionDetail, status_code=201)
async def create_session(
    data: ScriptBuilderCreateRequest,
    db: Annotated[AsyncSession, Depends(get_db)],
    current_user: Annotated[User, Depends(get_current_active_user)],
) -> ScriptBuilderSessionDetail:
    """Start a new Script Builder session."""
    # Enforce max concurrent sessions
    count = await script_builder_service.count_user_sessions(db, current_user.id)
    if count >= MAX_SESSIONS_PER_USER:
        raise HTTPException(
            status_code=400,
            detail=f"Maximum of {MAX_SESSIONS_PER_USER} builder sessions allowed. Delete an old session first.",
        )

    session = await script_builder_service.create_session(
        db=db,
        user_id=current_user.id,
        team_id=current_user.team_id,
        language=data.language,
    )
    await db.commit()
    return ScriptBuilderSessionDetail.model_validate(session)


@router.get("/sessions", response_model=list[ScriptBuilderSessionSummary])
async def list_sessions(
    db: Annotated[AsyncSession, Depends(get_db)],
    current_user: Annotated[User, Depends(get_current_active_user)],
    limit: int = 20,
    offset: int = 0,
) -> list[ScriptBuilderSessionSummary]:
    """List user's recent builder sessions (lightweight, no messages)."""
    sessions = await script_builder_service.list_sessions(
        db=db, user_id=current_user.id, limit=limit, offset=offset
    )
    return [ScriptBuilderSessionSummary.model_validate(s) for s in sessions]


@router.get("/sessions/{session_id}", response_model=ScriptBuilderSessionDetail)
async def get_session(
    session_id: UUID,
    db: Annotated[AsyncSession, Depends(get_db)],
    current_user: Annotated[User, Depends(get_current_active_user)],
) -> ScriptBuilderSessionDetail:
    """Get full session detail with message history."""
    session = await script_builder_service.get_session(db, session_id, current_user.id)
    if not session:
        raise HTTPException(status_code=404, detail="Session not found")
    return ScriptBuilderSessionDetail.model_validate(session)


@router.post(
    "/sessions/{session_id}/messages",
    response_model=ScriptBuilderMessageResponse,
)
@limiter.limit("10/minute")
async def send_message(
    request: Request,
    session_id: UUID,
    data: ScriptBuilderMessageRequest,
    db: Annotated[AsyncSession, Depends(get_db)],
    current_user: Annotated[User, Depends(get_current_active_user)],
) -> ScriptBuilderMessageResponse:
    """Send a message and get AI-generated script response."""
    session = await script_builder_service.get_session(db, session_id, current_user.id)
    if not session:
        raise HTTPException(status_code=404, detail="Session not found")

    try:
        response = await script_builder_service.send_message(db, session, data.content)
    except ValueError as e:
        raise HTTPException(status_code=400, detail=str(e))

    await db.commit()
    return response


@router.delete("/sessions/{session_id}", status_code=204)
async def delete_session(
    session_id: UUID,
    db: Annotated[AsyncSession, Depends(get_db)],
    current_user: Annotated[User, Depends(get_current_active_user)],
) -> None:
    """Delete a builder session."""
    deleted = await script_builder_service.delete_session(db, session_id, current_user.id)
    if not deleted:
        raise HTTPException(status_code=404, detail="Session not found")
    await db.commit()


@router.post(
    "/sessions/{session_id}/save",
    response_model=ScriptTemplateDetail,
    status_code=201,
)
async def save_to_library(
    session_id: UUID,
    data: SaveToLibraryRequest,
    db: Annotated[AsyncSession, Depends(get_db)],
    current_user: Annotated[User, Depends(get_current_active_user)],
) -> ScriptTemplateDetail:
    """Save the latest generated script to the Script Library."""
    session = await script_builder_service.get_session(db, session_id, current_user.id)
    if not session:
        raise HTTPException(status_code=404, detail="Session not found")

    try:
        template = await script_builder_service.save_to_library(
            db=db,
            session=session,
            name=data.name,
            description=data.description,
            category_id=data.category_id,
            share_with_team=data.share_with_team,
            user_id=current_user.id,
            team_id=current_user.team_id,
        )
    except ValueError as e:
        raise HTTPException(status_code=400, detail=str(e))

    await db.commit()
    await db.refresh(template)
    return ScriptTemplateDetail.model_validate(template)
  • Step 2: Register the router

Read backend/app/api/router.py and add:

from app.api.endpoints.script_builder import router as script_builder_router
# ... in the include_router section:
router.include_router(script_builder_router)
  • Step 3: Verify server starts

Run: cd backend && timeout 10 python -c "from app.api.endpoints.script_builder import router; print('Router OK')" 2>&1 Expected: Router OK

  • Step 4: Commit
git add backend/app/api/endpoints/script_builder.py \
  backend/app/api/router.py
git commit -m "feat: add Script Builder API endpoints

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>"

Task 2.5: Write Backend Tests

Files:

  • Create: backend/tests/test_script_builder.py

  • Step 1: Create test file

# backend/tests/test_script_builder.py
"""Tests for the Script Builder API endpoints."""
import pytest
import uuid
from unittest.mock import AsyncMock, patch, PropertyMock

import sqlalchemy as sa


class TestScriptBuilderSessions:
    """Test Script Builder session CRUD."""

    @pytest.mark.asyncio
    async def test_create_session(self, client, auth_headers):
        """Creating a builder session returns a valid session."""
        resp = await client.post(
            "/api/v1/scripts/builder/sessions",
            json={"language": "powershell"},
            headers=auth_headers,
        )
        assert resp.status_code == 201
        data = resp.json()
        assert data["language"] == "powershell"
        assert data["messages"] == []
        assert data["message_count"] == 0
        assert data["title"] is None

    @pytest.mark.asyncio
    async def test_create_session_invalid_language(self, client, auth_headers):
        """Invalid language is rejected."""
        resp = await client.post(
            "/api/v1/scripts/builder/sessions",
            json={"language": "cobol"},
            headers=auth_headers,
        )
        assert resp.status_code == 422

    @pytest.mark.asyncio
    async def test_create_session_bash(self, client, auth_headers):
        """Bash language is accepted."""
        resp = await client.post(
            "/api/v1/scripts/builder/sessions",
            json={"language": "bash"},
            headers=auth_headers,
        )
        assert resp.status_code == 201
        assert resp.json()["language"] == "bash"

    @pytest.mark.asyncio
    async def test_list_sessions_empty(self, client, auth_headers):
        """Listing sessions when none exist returns empty list."""
        resp = await client.get(
            "/api/v1/scripts/builder/sessions",
            headers=auth_headers,
        )
        assert resp.status_code == 200
        assert resp.json() == []

    @pytest.mark.asyncio
    async def test_list_sessions_returns_summaries(self, client, auth_headers):
        """Listed sessions are lightweight (no messages field)."""
        # Create a session first
        await client.post(
            "/api/v1/scripts/builder/sessions",
            json={"language": "powershell"},
            headers=auth_headers,
        )
        resp = await client.get(
            "/api/v1/scripts/builder/sessions",
            headers=auth_headers,
        )
        assert resp.status_code == 200
        data = resp.json()
        assert len(data) == 1
        assert "messages" not in data[0]
        assert "language" in data[0]
        assert "title" in data[0]

    @pytest.mark.asyncio
    async def test_get_session_detail(self, client, auth_headers):
        """Getting a session by ID returns full detail with messages."""
        create_resp = await client.post(
            "/api/v1/scripts/builder/sessions",
            json={"language": "python"},
            headers=auth_headers,
        )
        session_id = create_resp.json()["id"]

        resp = await client.get(
            f"/api/v1/scripts/builder/sessions/{session_id}",
            headers=auth_headers,
        )
        assert resp.status_code == 200
        data = resp.json()
        assert data["id"] == session_id
        assert "messages" in data
        assert data["language"] == "python"

    @pytest.mark.asyncio
    async def test_get_session_not_found(self, client, auth_headers):
        """Getting a nonexistent session returns 404."""
        fake_id = str(uuid.uuid4())
        resp = await client.get(
            f"/api/v1/scripts/builder/sessions/{fake_id}",
            headers=auth_headers,
        )
        assert resp.status_code == 404

    @pytest.mark.asyncio
    async def test_delete_session(self, client, auth_headers):
        """Deleting a session removes it."""
        create_resp = await client.post(
            "/api/v1/scripts/builder/sessions",
            json={"language": "powershell"},
            headers=auth_headers,
        )
        session_id = create_resp.json()["id"]

        resp = await client.delete(
            f"/api/v1/scripts/builder/sessions/{session_id}",
            headers=auth_headers,
        )
        assert resp.status_code == 204

        # Verify it's gone
        resp = await client.get(
            f"/api/v1/scripts/builder/sessions/{session_id}",
            headers=auth_headers,
        )
        assert resp.status_code == 404

    @pytest.mark.asyncio
    async def test_delete_session_not_found(self, client, auth_headers):
        """Deleting a nonexistent session returns 404."""
        fake_id = str(uuid.uuid4())
        resp = await client.delete(
            f"/api/v1/scripts/builder/sessions/{fake_id}",
            headers=auth_headers,
        )
        assert resp.status_code == 404


class TestScriptBuilderMessages:
    """Test sending messages (requires AI mock)."""

    @pytest.fixture
    def _enable_ai(self):
        """Mock AI as enabled for tests without API key."""
        with patch.object(
            type(__import__("app.core.config", fromlist=["settings"]).settings),
            "ai_enabled",
            new_callable=PropertyMock,
            return_value=True,
        ):
            yield

    @pytest.fixture
    def _mock_ai_response(self):
        """Mock the AI provider to return a script response."""
        mock_response = (
            'Here is your script:\n\n```powershell\nGet-Process | Format-Table\n```\n\nSaved as `Get-Processes.ps1`.',
            100,  # input_tokens
            200,  # output_tokens
        )
        with patch("app.services.script_builder_service.get_ai_provider") as mock:
            provider = AsyncMock()
            provider.generate_text = AsyncMock(return_value=mock_response)
            mock.return_value = provider
            yield

    @pytest.mark.asyncio
    async def test_send_message(self, client, auth_headers, _enable_ai, _mock_ai_response):
        """Sending a message returns AI response with script."""
        # Create session
        create_resp = await client.post(
            "/api/v1/scripts/builder/sessions",
            json={"language": "powershell"},
            headers=auth_headers,
        )
        session_id = create_resp.json()["id"]

        # Send message
        resp = await client.post(
            f"/api/v1/scripts/builder/sessions/{session_id}/messages",
            json={"content": "List all running processes"},
            headers=auth_headers,
        )
        assert resp.status_code == 200
        data = resp.json()
        assert data["role"] == "assistant"
        assert data["script"] is not None
        assert "Get-Process" in data["script"]
        assert data["script_filename"] == "Get-Processes.ps1"
        assert data["line_count"] == 1

    @pytest.mark.asyncio
    async def test_send_message_updates_session(self, client, auth_headers, _enable_ai, _mock_ai_response):
        """Sending a message updates session state."""
        create_resp = await client.post(
            "/api/v1/scripts/builder/sessions",
            json={"language": "powershell"},
            headers=auth_headers,
        )
        session_id = create_resp.json()["id"]

        await client.post(
            f"/api/v1/scripts/builder/sessions/{session_id}/messages",
            json={"content": "List processes"},
            headers=auth_headers,
        )

        # Check session was updated
        resp = await client.get(
            f"/api/v1/scripts/builder/sessions/{session_id}",
            headers=auth_headers,
        )
        data = resp.json()
        assert data["message_count"] == 1
        assert data["latest_script"] is not None
        assert len(data["messages"]) == 2  # user + assistant
        assert data["title"] is not None


class TestScriptBuilderSaveToLibrary:
    """Test saving generated scripts to the library."""

    @pytest.fixture
    def _enable_ai(self):
        with patch.object(
            type(__import__("app.core.config", fromlist=["settings"]).settings),
            "ai_enabled",
            new_callable=PropertyMock,
            return_value=True,
        ):
            yield

    @pytest.fixture
    def _mock_ai_response(self):
        mock_response = (
            'Here is your script:\n\n```powershell\nGet-Process | Format-Table\n```\n\nSaved as `Get-Processes.ps1`.',
            100, 200,
        )
        with patch("app.services.script_builder_service.get_ai_provider") as mock:
            provider = AsyncMock()
            provider.generate_text = AsyncMock(return_value=mock_response)
            mock.return_value = provider
            yield

    @pytest.fixture
    async def _seed_ai_category(self, test_db):
        """Seed the AI Generated category for save tests."""
        await test_db.execute(
            sa.text("""
                INSERT INTO script_categories (id, name, slug, description, icon, sort_order, is_active, created_at, updated_at)
                VALUES (
                    'a0000000-0000-0000-0000-000000000001'::uuid,
                    'AI Generated', 'ai-generated', 'Scripts from AI', 'sparkles', 100, true, NOW(), NOW()
                )
                ON CONFLICT (slug) DO NOTHING
            """)
        )
        await test_db.commit()

    @pytest.mark.asyncio
    async def test_save_to_library_no_script(self, client, auth_headers):
        """Cannot save if no script has been generated."""
        create_resp = await client.post(
            "/api/v1/scripts/builder/sessions",
            json={"language": "powershell"},
            headers=auth_headers,
        )
        session_id = create_resp.json()["id"]

        resp = await client.post(
            f"/api/v1/scripts/builder/sessions/{session_id}/save",
            json={"name": "Test Script"},
            headers=auth_headers,
        )
        assert resp.status_code == 400
        assert "No script" in resp.json()["detail"]

    @pytest.mark.asyncio
    async def test_save_to_library_success(
        self, client, auth_headers, _enable_ai, _mock_ai_response, _seed_ai_category
    ):
        """Saving a generated script creates a ScriptTemplate."""
        # Create session and generate a script
        create_resp = await client.post(
            "/api/v1/scripts/builder/sessions",
            json={"language": "powershell"},
            headers=auth_headers,
        )
        session_id = create_resp.json()["id"]

        await client.post(
            f"/api/v1/scripts/builder/sessions/{session_id}/messages",
            json={"content": "List processes"},
            headers=auth_headers,
        )

        # Save to library
        resp = await client.post(
            f"/api/v1/scripts/builder/sessions/{session_id}/save",
            json={"name": "My Process Script", "share_with_team": False},
            headers=auth_headers,
        )
        assert resp.status_code == 201
        data = resp.json()
        assert data["name"] == "My Process Script"
        assert "ai-generated" in data["tags"]
  • Step 2: Run the tests

Run: cd backend && python -m pytest tests/test_script_builder.py -v --override-ini="addopts=" 2>&1 | tail -30 Expected: All tests pass

  • Step 3: Commit
git add backend/tests/test_script_builder.py
git commit -m "test: add Script Builder API tests

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>"

Task 2.6: Create Frontend Types and API Client

Files:

  • Create: frontend/src/types/script-builder.ts

  • Modify: frontend/src/types/index.ts

  • Create: frontend/src/api/scriptBuilder.ts

  • Modify: frontend/src/api/index.ts

  • Step 1: Create TypeScript types

// frontend/src/types/script-builder.ts
export interface ScriptBuilderSessionSummary {
  id: string
  language: string
  title: string | null
  message_count: number
  latest_script_filename: string | null
  created_at: string
  updated_at: string
}

export interface ScriptBuilderSessionDetail {
  id: string
  language: string
  title: string | null
  messages: ScriptBuilderMessage[]
  latest_script: string | null
  latest_script_filename: string | null
  message_count: number
  ai_session_id: string | null
  created_at: string
  updated_at: string
}

export interface ScriptBuilderMessage {
  role: 'user' | 'assistant'
  content: string
  script?: string | null
  script_filename?: string | null
  line_count?: number | null
  timestamp: string
}

export interface ScriptBuilderMessageResponse {
  role: 'assistant'
  content: string
  script: string | null
  script_filename: string | null
  line_count: number | null
  timestamp: string
}

export interface SaveToLibraryRequest {
  name: string
  description?: string
  category_id?: string
  share_with_team?: boolean
}
  • Step 2: Export from types/index.ts

Add to frontend/src/types/index.ts:

export * from './script-builder'
  • Step 3: Create API client
// frontend/src/api/scriptBuilder.ts
import { apiClient } from './client'
import type {
  ScriptBuilderSessionSummary,
  ScriptBuilderSessionDetail,
  ScriptBuilderMessageResponse,
  SaveToLibraryRequest,
} from '@/types'
import type { ScriptTemplateDetail } from '@/types'

export const scriptBuilderApi = {
  async createSession(language: string): Promise<ScriptBuilderSessionDetail> {
    const { data } = await apiClient.post('/scripts/builder/sessions', { language })
    return data
  },

  async listSessions(limit = 20, offset = 0): Promise<ScriptBuilderSessionSummary[]> {
    const { data } = await apiClient.get('/scripts/builder/sessions', {
      params: { limit, offset },
    })
    return data
  },

  async getSession(sessionId: string): Promise<ScriptBuilderSessionDetail> {
    const { data } = await apiClient.get(`/scripts/builder/sessions/${sessionId}`)
    return data
  },

  async sendMessage(sessionId: string, content: string): Promise<ScriptBuilderMessageResponse> {
    const { data } = await apiClient.post(
      `/scripts/builder/sessions/${sessionId}/messages`,
      { content }
    )
    return data
  },

  async deleteSession(sessionId: string): Promise<void> {
    await apiClient.delete(`/scripts/builder/sessions/${sessionId}`)
  },

  async saveToLibrary(sessionId: string, req: SaveToLibraryRequest): Promise<ScriptTemplateDetail> {
    const { data } = await apiClient.post(
      `/scripts/builder/sessions/${sessionId}/save`,
      req
    )
    return data
  },
}
  • Step 4: Export from api/index.ts

Add to frontend/src/api/index.ts:

export { scriptBuilderApi } from './scriptBuilder'
  • Step 5: Verify build

Run: cd frontend && npx tsc --noEmit --pretty 2>&1 | head -20 Expected: No errors

  • Step 6: Commit
git add frontend/src/types/script-builder.ts \
  frontend/src/types/index.ts \
  frontend/src/api/scriptBuilder.ts \
  frontend/src/api/index.ts
git commit -m "feat: add Script Builder frontend types and API client

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>"

Task 2.7: Create Script Builder Page and Components

Files:

  • Create: frontend/src/components/script-builder/ScriptBuilderChat.tsx

  • Create: frontend/src/components/script-builder/ScriptBuilderInput.tsx

  • Create: frontend/src/components/script-builder/ScriptCodeBlock.tsx

  • Create: frontend/src/pages/ScriptBuilderPage.tsx

  • Modify: frontend/src/router.tsx

  • Modify: frontend/src/components/layout/Sidebar.tsx

  • Modify: frontend/src/components/layout/AppLayout.tsx

  • Step 1: Install react-syntax-highlighter

Run: cd frontend && npm install react-syntax-highlighter && npm install -D @types/react-syntax-highlighter

  • Step 2: Create ScriptCodeBlock component

Create frontend/src/components/script-builder/ScriptCodeBlock.tsx — displays a collapsed code preview (first 5 lines + line count) with "View Full Script", "Copy", and "Save to Library" buttons. Uses react-syntax-highlighter with oneDark theme. Props: script: string, filename: string | null, lineCount: number | null, language: string, onViewFull: () => void, onSave: () => void.

The component should:

  • Show the filename and line count in a header row

  • Render first 5 lines with syntax highlighting

  • Show "··· N more lines" if truncated

  • Have Copy button that copies full script to clipboard

  • Have View Full Script button (primary, calls onViewFull)

  • Have Save to Library button (emerald-colored, calls onSave)

  • The entire code area should be clickable to open the full view

  • Step 3: Create ScriptBuilderInput component

Create frontend/src/components/script-builder/ScriptBuilderInput.tsx — chat input bar. Same auto-resize textarea pattern as FlowPilotMessageBar but with the Script Builder styling. Props: onSend: (content: string) => void, disabled: boolean, placeholder?: string.

  • Step 4: Create ScriptBuilderChat component

Create frontend/src/components/script-builder/ScriptBuilderChat.tsx — renders the message list. User messages right-aligned with cyan tint, AI messages left-aligned with glass card styling. AI messages that contain a script render ScriptCodeBlock inline. Props: messages: ScriptBuilderMessage[], language: string, onViewScript: (script: string, filename: string | null) => void, onSaveScript: () => void.

Auto-scroll to bottom when new messages are added (use useEffect + scrollIntoView on a bottom ref).

  • Step 5: Create ScriptBuilderPage

Create frontend/src/pages/ScriptBuilderPage.tsx — main page component. Layout:

  • Language selector pills at top (PowerShell, Bash, Python) — only changeable before first message
  • ScriptBuilderChat in the center (flex-1, overflow-y-auto)
  • ScriptBuilderInput pinned to bottom
  • Session history drawer (optional, can be a simple "Recent" dropdown or sidebar)

State management via local useState (not Zustand — per CLAUDE.md lesson #41 pattern for chat-style pages):

  • session: ScriptBuilderSessionDetail | null
  • messages: ScriptBuilderMessage[]
  • language: string (default "powershell")
  • isLoading: boolean
  • previewScript: { script: string, filename: string | null } | null (for modal)
  • showSaveDialog: boolean

On mount: check for sessionStorage key scriptBuilderContext (FlowPilot handoff). If found, parse it, create session with that language, and auto-send the initial prompt.

Handle ?from=flowpilot URL param to know this was a FlowPilot handoff.

  • Step 6: Add route to router.tsx

Read frontend/src/router.tsx. Add the Script Builder route inside the protected layout children:

{ path: 'script-builder', element: page(ScriptBuilderPage) },

Add the lazy import at the top:

const ScriptBuilderPage = lazy(() => import('@/pages/ScriptBuilderPage'))
  • Step 7: Add sidebar nav item

Read frontend/src/components/layout/Sidebar.tsx. Add a "Script Builder" nav item in the Knowledge section, after Scripts. Use the Wand2 icon from Lucide and a new color in NAV_COLORS:

scriptBuilder: '#e879f9', // fuchsia-400

Add in both collapsed and expanded nav sections:

<NavItem href="/script-builder" icon={Wand2} label="Script Builder" iconColor={NAV_COLORS.scriptBuilder} />
  • Step 8: Add mobile nav item

Read frontend/src/components/layout/AppLayout.tsx. Add to the mobileNavItems array:

{ path: '/script-builder', label: 'Script Builder', icon: Wand2 },

Import Wand2 from lucide-react.

  • Step 9: Verify build

Run: cd frontend && npm run build 2>&1 | tail -20 Expected: Build succeeds

  • Step 10: Commit
git add frontend/src/components/script-builder/ \
  frontend/src/pages/ScriptBuilderPage.tsx \
  frontend/src/router.tsx \
  frontend/src/components/layout/Sidebar.tsx \
  frontend/src/components/layout/AppLayout.tsx \
  frontend/package.json frontend/package-lock.json
git commit -m "feat: add Script Builder page with chat UI, code blocks, and nav

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>"

Phase 3: Script Preview Modal & Save Flow

Task 3.1: Create ScriptPreviewModal

Files:

  • Create: frontend/src/components/script-builder/ScriptPreviewModal.tsx

  • Step 1: Create the fullscreen modal

Create frontend/src/components/script-builder/ScriptPreviewModal.tsx — fullscreen overlay modal for viewing complete scripts. Structure:

  • Fixed overlay with bg-black/80 backdrop-blur-sm z-50
  • Modal container: bg-[#18191f] rounded-xl border border-[rgba(255,255,255,0.08)] centered, max-width ~900px, max-height ~85vh
  • Header: filename (JetBrains Mono, cyan), language badge, Copy button (secondary), Save to Library button (emerald), close button (X)
  • Body: full script with react-syntax-highlighter, scrollable, line numbers enabled
  • Footer: line count + "Generated just now" metadata, "Close & Return to Chat" button (secondary)

Props: script: string, filename: string | null, language: string, onClose: () => void, onSave: () => void.

Handle Escape key to close. Handle click outside to close.

  • Step 2: Verify build

Run: cd frontend && npx tsc --noEmit --pretty 2>&1 | head -20 Expected: No errors

Task 3.2: Create SaveToLibraryDialog

Files:

  • Create: frontend/src/components/script-builder/SaveToLibraryDialog.tsx

  • Step 1: Create the save dialog

Create frontend/src/components/script-builder/SaveToLibraryDialog.tsx — modal dialog for saving scripts to the library. Structure:

  • Standard modal overlay (reuse the app's modal pattern)
  • Form fields: Name (text, required, auto-filled from filename), Description (textarea, optional), Category (select dropdown, loads from scriptsApi.getCategories()), Share with team (toggle, default off)
  • Submit button: "Save to Library" (primary, bg-gradient-brand)
  • Cancel button (secondary)
  • Loading state while saving
  • Error handling: show inline error on 409 conflict (duplicate name)

Props: sessionId: string, defaultName: string, defaultDescription?: string, onClose: () => void, onSaved: () => void.

Calls scriptBuilderApi.saveToLibrary() on submit.

  • Step 2: Wire modal and dialog into ScriptBuilderPage

Modify frontend/src/pages/ScriptBuilderPage.tsx to render:

  • ScriptPreviewModal when previewScript is set
  • SaveToLibraryDialog when showSaveDialog is true

Pass the appropriate handlers to ScriptBuilderChatScriptCodeBlock for opening the modal and save dialog.

  • Step 3: Verify build

Run: cd frontend && npm run build 2>&1 | tail -20 Expected: Build succeeds

  • Step 4: Commit Phase 3
git add frontend/src/components/script-builder/ScriptPreviewModal.tsx \
  frontend/src/components/script-builder/SaveToLibraryDialog.tsx \
  frontend/src/components/script-builder/ScriptCodeBlock.tsx \
  frontend/src/pages/ScriptBuilderPage.tsx
git commit -m "feat: add script preview modal and save-to-library dialog

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>"

Phase 4: Library Reorganization

Task 4.1: Add Language Column and AI Generated Category (Migration)

Files:

  • Create: migration file

  • Modify: backend/app/models/script_template.py

  • Modify: backend/app/schemas/script_template.py

  • Step 1: Add language column to ScriptTemplate model

Read backend/app/models/script_template.py. Add after the script_body column:

language: Mapped[Optional[str]] = mapped_column(
    String(30), nullable=True, default="powershell",
    comment="Script language: powershell, bash, python",
)
  • Step 2: Add language field to schemas

Read backend/app/schemas/script_template.py. Add language: str | None = None to ScriptTemplateListItem, ScriptTemplateDetail, and ScriptTemplateCreate.

  • Step 3: Create migration

Run: cd backend && alembic revision --autogenerate -m "add_language_to_script_templates_and_ai_generated_category" --rev-id=063

  • Step 4: Review and edit the migration

Read the generated migration. It should add the language column. Manually add seed data for the "AI Generated" category in the upgrade() function:

# Seed the "AI Generated" category
op.execute(
    sa.text("""
        INSERT INTO script_categories (id, name, slug, description, icon, sort_order, is_active, created_at, updated_at)
        VALUES (
            'a0000000-0000-0000-0000-000000000001'::uuid,
            'AI Generated',
            'ai-generated',
            'Scripts generated by the AI Script Builder',
            'sparkles',
            100,
            true,
            NOW(),
            NOW()
        )
        ON CONFLICT (slug) DO NOTHING
    """)
)

Add the reverse in downgrade():

op.execute(sa.text("DELETE FROM script_categories WHERE slug = 'ai-generated'"))

Remove any unrelated autogenerated operations.

  • Step 5: Run migration

Run: cd backend && alembic upgrade head Expected: Migration applies successfully

  • Step 6: Commit
git add backend/app/models/script_template.py \
  backend/app/schemas/script_template.py \
  backend/alembic/versions/
git commit -m "feat: add language column to script_templates and seed AI Generated category

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>"

Task 4.2: Add Mine Filter to Scripts Endpoint

Files:

  • Modify: backend/app/api/endpoints/scripts.py

  • Step 1: Read the templates list endpoint

Read backend/app/api/endpoints/scripts.py and find the list_templates endpoint.

  • Step 2: Add mine and shared query parameters

Add mine: bool = False and shared: bool = False parameters to the endpoint:

  • When mine=True, add .where(ScriptTemplate.created_by == current_user.id) filter

  • When shared=True, add .where(ScriptTemplate.team_id == current_user.team_id) filter (only team-shared scripts)

  • Step 3: Run existing script tests

Run: cd backend && python -m pytest tests/test_scripts.py -v --override-ini="addopts=" 2>&1 | tail -20 Expected: All existing tests still pass

  • Step 4: Commit
git add backend/app/api/endpoints/scripts.py
git commit -m "feat: add mine and shared filters to script templates list endpoint

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>"

Task 4.3: Reorganize Script Library Frontend

Files:

  • Modify: frontend/src/pages/ScriptLibraryPage.tsx

  • Modify: frontend/src/types/scripts.ts

  • Step 1: Add language field to frontend types

Read frontend/src/types/scripts.ts. Add language?: string | null to ScriptTemplateListItem and ScriptTemplateDetail.

  • Step 2: Read the Script Library page

Read frontend/src/pages/ScriptLibraryPage.tsx to understand its current structure.

  • Step 3: Add tabs and Build button

Modify ScriptLibraryPage.tsx:

  1. Add a "Build a New Script" button at the top of the page, styled with bg-gradient-brand. Uses Link to /script-builder.
  2. Add tab bar below the header: "My Scripts" | "Team Scripts"
  3. "My Scripts" tab: calls scriptsApi.getTemplates({ mine: true })
  4. "Team Scripts" tab: calls scriptsApi.getTemplates({ shared: true })
  5. Default to "My Scripts" tab

Use local state for the active tab. Add mine param to the getTemplates API call.

  • Step 4: Update scripts API client for mine and shared params

Read frontend/src/api/scripts.ts. Add mine?: boolean and shared?: boolean to the getTemplates params object.

  • Step 5: Verify build

Run: cd frontend && npm run build 2>&1 | tail -20 Expected: Build succeeds

  • Step 6: Commit
git add frontend/src/pages/ScriptLibraryPage.tsx \
  frontend/src/types/scripts.ts \
  frontend/src/api/scripts.ts
git commit -m "feat: add My Scripts/Team Scripts tabs and Build button to Script Library

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>"

Phase 5: FlowPilot Integration

Task 5.1: Add Script Builder Handoff to FlowPilot

Files:

  • Modify: backend/app/services/flowpilot_engine.py

  • Modify: frontend/src/components/flowpilot/FlowPilotStepCard.tsx

  • Step 1: Update FlowPilot system prompt

Read backend/app/services/flowpilot_engine.py and find the STRUCTURED_OUTPUT_SCHEMA and FLOWPILOT_SYSTEM_PROMPT constants. Add guidance for the AI to detect script needs:

In the RULES section of FLOWPILOT_SYSTEM_PROMPT, add:

- When the engineer needs a custom script that doesn't match an existing template, suggest opening the Script Builder. Use action_type "open_script_builder" with a "script_prompt" field containing a clear description of what the script should do, and a "script_language" field (powershell, bash, or python).

In STRUCTURED_OUTPUT_SCHEMA, add to the action type:

action_type values: "instruction | script_generation | verification | info_request | open_script_builder"
  • Step 2: Handle open_script_builder action in FlowPilotStepCard

Read frontend/src/components/flowpilot/FlowPilotStepCard.tsx. In the action step buttons section (around the handleActionComplete area), add a new conditional for action_type === 'open_script_builder':

{!isResolutionSuggestion && step.step_type === 'action' && (content.action_type as string) === 'open_script_builder' && (
  <button
    onClick={() => {
      // Store context in sessionStorage for Script Builder to pick up
      sessionStorage.setItem('scriptBuilderContext', JSON.stringify({
        from_session: sessionId,
        prompt: (content.script_prompt as string) || '',
        language: (content.script_language as string) || 'powershell',
      }))
      window.open('/script-builder?from=flowpilot', '_blank')
      // Mark action as completed
      onRespond({ action_result: { success: true, details: 'Opened Script Builder' } })
    }}
    className="flex-1 min-h-[44px] rounded-lg bg-gradient-brand px-4 py-2.5 text-sm font-semibold text-[#101114] hover:opacity-90 active:scale-[0.97] transition-all"
  >
    Open Script Builder
  </button>
)}
  • Step 3: Verify build

Run: cd frontend && npm run build 2>&1 | tail -20 Expected: Build succeeds

  • Step 4: Run all backend tests

Run: cd backend && python -m pytest --override-ini="addopts=" 2>&1 | tail -10 Expected: All tests pass

  • Step 5: Commit Phase 5
git add backend/app/services/flowpilot_engine.py \
  frontend/src/components/flowpilot/FlowPilotStepCard.tsx
git commit -m "feat: connect FlowPilot to Script Builder with handoff action

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>"

Final Verification

  • Step 1: Run full backend test suite

Run: cd backend && python -m pytest --override-ini="addopts=" -v 2>&1 | tail -30 Expected: All tests pass

  • Step 2: Run frontend build

Run: cd frontend && npm run build 2>&1 | tail -20 Expected: Build succeeds with no errors

  • Step 3: Manual smoke test checklist
  1. Start backend + frontend dev servers
  2. Open FlowPilot session — verify message bar is visible at bottom, can type and submit
  3. Verify message bar is disabled during resolution suggestion steps
  4. Navigate to Script Builder via sidebar — verify page loads with language selector
  5. Type a script request — verify AI responds with code block
  6. Click "View Full Script" — verify fullscreen modal opens
  7. Click "Save to Library" — verify dialog with name/category/share fields
  8. Navigate to Scripts library — verify "My Scripts" / "Team Scripts" tabs and "Build a New Script" button