MCP Puppet Pipeline

Got it. Here’s a one-shot setup that creates everything for you automatically—folders, virtualenv, dependencies, the Bridge server, a sender tool, a run script, a test task, and optional auto-start at login. You only run one PowerShell script and it saves all files for you. I’m giving you: A single bootstrap PowerShell script (setup_local_coder_bridge.ps1) that writes all other scripts/files. The Bridge server (bridge_server.py) that executes safe tasks (write files, make folders, downloads, run whitelisted commands). A task sender (send_task.ps1) to paste JSON tasks. A run script (run_bridge.ps1) to start the server. An optional auto-start scheduled task script. A sample task JSON. Run Step 1, and you’re set. Step 1 — Copy-paste this file and run it Save the block below as setup_local_coder_bridge.ps1. Then open 64-bit PowerShell as Administrator, cd to the folder where you saved it, and run: Set-ExecutionPolicy Bypass -Scope Process -Force .\setup_local_coder_bridge.ps1 It will create everything under C:\tools\LocalCoderBridge and C:\tools\MilkaProjects. # setup_local_coder_bridge.ps1 # Creates Local Coder Bridge + all scripts, venv, requirements, and a sample task. # Run in 64-bit PowerShell (Admin recommended). $ErrorActionPreference = "Stop" function Confirm-64bit { if (-not [Environment]::Is64BitProcess) { Write-Error "This PowerShell is 32-bit. Open the 64-bit PowerShell from C:\Windows\System32\WindowsPowerShell\v1.0\powershell.exe" } } Confirm-64bit $Root = "C:\tools\LocalCoderBridge" $ProjRoot = "C:\tools\MilkaProjects" $PyVenv = Join-Path $Root ".venv" $Port = 8765 New-Item -ItemType Directory -Force -Path $Root | Out-Null New-Item -ItemType Directory -Force -Path $ProjRoot | Out-Null # --- .env --- @" PROJECT_ROOT=$ProjRoot ALLOW_SHELL=true PORT=$Port "@ | Set-Content -Encoding UTF8 (Join-Path $Root ".env") # --- requirements.txt --- @" fastapi uvicorn[standard] pydantic python-dotenv pyyaml requests "@ | Set-Content -Encoding UTF8 (Join-Path $Root "requirements.txt") # --- bridge_server.py --- @' import os, subprocess, shlex, json from pathlib import Path from typing import List, Literal, Optional, Dict, Any from fastapi import FastAPI, HTTPException from pydantic import BaseModel, Field from dotenv import load_dotenv import requests load_dotenv() PROJECT_ROOT = Path(os.getenv("PROJECT_ROOT", r"C:\tools\MilkaProjects")).resolve() ALLOW_SHELL = os.getenv("ALLOW_SHELL", "false").lower() == "true" PORT = int(os.getenv("PORT", "8765")) app = FastAPI(title="Local Coder Bridge", version="1.0") # ---------- SAFETY ---------- WHITELIST_CMDS = { "pip": ["python", "pip", "py", "python.exe"], "python": ["python", "py", "python.exe"], "git": ["git", "git.exe"], "node": ["node", "npm", "npx"], "ffmpeg": ["ffmpeg", "ffmpeg.exe"] } def safe_join(rel_path: str) -> Path: p = (PROJECT_ROOT / rel_path).resolve() if PROJECT_ROOT not in p.parents and p != PROJECT_ROOT: raise HTTPException(400, f"path escapes PROJECT_ROOT: {p}") return p # ---------- SCHEMA ---------- class WriteFile(BaseModel): action: Literal["write_file"] path: str content: str encoding: Literal["utf-8","ascii"] = "utf-8" overwrite: bool = True class Mkdir(BaseModel): action: Literal["mkdir"] path: str exist_ok: bool = True class RunShell(BaseModel): action: Literal["run_shell"] command: str cwd: Optional[str] = None timeout_sec: int = 600 allow: Optional[List[str]] = None # allowed prefixes from WHITELIST_CMDS class Download(BaseModel): action: Literal["download"] url: str dest: str class Task(BaseModel): task_name: str approve: bool = True steps: List[Dict[str, Any]] = Field(..., description="List of action dicts conforming to schemas above") # ---------- ACTIONS ---------- def do_write_file(step: WriteFile): fp = safe_join(step.path) fp.parent.mkdir(parents=True, exist_ok=True) if fp.exists() and not step.overwrite: return {"status":"skipped","reason":"exists and overwrite=False","path":str(fp)} fp.write_text(step.content, encoding=step.encoding) return {"status":"ok","path":str(fp),"bytes":len(step.content.encode(step.encoding))} def do_mkdir(step: Mkdir): dp = safe_join(step.path) dp.mkdir(parents=True, exist_ok=step.exist_ok) return {"status":"ok","path":str(dp)} def do_download(step: Download): dest = safe_join(step.dest) dest.parent.mkdir(parents=True, exist_ok=True) r = requests.get(step.url, timeout=60) r.raise_for_status() dest.write_bytes(r.content) return {"status":"ok","path":str(dest),"bytes":len(r.content)} def do_run_shell(step: RunShell): if not ALLOW_SHELL: return {"status":"blocked","reason":"ALLOW_SHELL=false"} allowed = set() if step.allow: for k in step.allow: allowed.update(WHITELIST_CMDS.get(k, [])) else: for lst in WHITELIST_CMDS.values(): allowed.update(lst) cmd_tokens = shlex.split(step.command, posix=False) if not cmd_tokens: raise HTTPException(400, "empty command") # Require first token to match allowed list first = cmd_tokens[0].lower() if not any(first.endswith(a.lower()) or first == a.lower() for a in allowed): raise HTTPException(400, f"command not allowed: {cmd_tokens[0]}") cwd = safe_join(step.cwd).as_posix() if step.cwd else PROJECT_ROOT.as_posix() try: p = subprocess.run(cmd_tokens, cwd=cwd, capture_output=True, text=True, timeout=step.timeout_sec, shell=False) return { "status":"ok" if p.returncode==0 else "error", "returncode": p.returncode, "stdout": p.stdout[-4000:], "stderr": p.stderr[-4000:], "cwd": cwd, "exec": cmd_tokens } except subprocess.TimeoutExpired: return {"status":"timeout","timeout_sec":step.timeout_sec,"cmd":cmd_tokens} # ---------- API ---------- @app.post("/run") def run_task(task: Task): results = [] for raw in task.steps: action = raw.get("action") try: if action == "write_file": results.append(do_write_file(WriteFile(**raw))) elif action == "mkdir": results.append(do_mkdir(Mkdir(**raw))) elif action == "download": results.append(do_download(Download(**raw))) elif action == "run_shell": results.append(do_run_shell(RunShell(**raw))) else: raise HTTPException(400, f"unknown action: {action}") except HTTPException as e: results.append({"status":"failed","action":action,"error":str(e.detail)}) except Exception as e: results.append({"status":"failed","action":action,"error":repr(e)}) return {"task": task.task_name, "root": str(PROJECT_ROOT), "results": results} if __name__ == "__main__": import uvicorn uvicorn.run(app, host="127.0.0.1", port=PORT) '@ | Set-Content -Encoding UTF8 (Join-Path $Root "bridge_server.py") # --- send_task.ps1 --- @' param( [string]$Json = "", [string]$File = "", [string]$Url = "http://127.0.0.1:8765/run" ) if ($File -ne "") { $Json = Get-Content -Raw -Encoding UTF8 $File } if ([string]::IsNullOrWhiteSpace($Json)) { Write-Host "Paste task JSON then press Enter twice (empty line to finish):" $lines = @() while ($true) { $line = Read-Host if ([string]::IsNullOrWhiteSpace($line)) { break } $lines += $line } $Json = ($lines -join "`n") } try { $resp = Invoke-RestMethod -Method Post -Uri $Url -Body $Json -ContentType "application/json; charset=utf-8" $resp | ConvertTo-Json -Depth 8 } catch { Write-Error $_.Exception.Message } '@ | Set-Content -Encoding UTF8 (Join-Path $Root "send_task.ps1") # --- run_bridge.ps1 --- @" `$ErrorActionPreference = 'Stop' Set-Location '$Root' .\.venv\Scripts\Activate.ps1 python .\bridge_server.py "@ | Set-Content -Encoding UTF8 (Join-Path $Root "run_bridge.ps1") # --- optional autostart script --- @" # Creates a Scheduled Task to start Local Coder Bridge at user logon. `$taskName = 'LocalCoderBridge' `$action = New-ScheduledTaskAction -Execute 'powershell.exe' -Argument '-NoProfile -WindowStyle Hidden -ExecutionPolicy Bypass -File ""$Root\run_bridge.ps1""" `$trigger = New-ScheduledTaskTrigger -AtLogOn Register-ScheduledTask -TaskName `$taskName -Action `$action -Trigger `$trigger -Description 'Starts Local Coder Bridge at logon' -Force "@ | Set-Content -Encoding UTF8 (Join-Path $Root "enable_autostart.ps1") # --- sample task JSON --- @' { "task_name": "hello-world", "approve": true, "steps": [ { "action": "mkdir", "path": "HelloWorld", "exist_ok": true }, { "action": "write_file", "path": "HelloWorld/hello.txt", "content": "It works.\n", "overwrite": true } ] } '@ | Set-Content -Encoding UTF8 (Join-Path $Root "task_sample.json") Write-Host "Creating Python venv and installing dependencies…" # Create venv if (-not (Test-Path $PyVenv)) { python -m venv $PyVenv } & "$PyVenv\Scripts\Activate.ps1" python -m pip install --upgrade pip python -m pip install -r (Join-Path $Root "requirements.txt") # Optionally add firewall rule try { New-NetFirewallRule -DisplayName "LocalCoderBridge $Port" -Direction Inbound -Protocol TCP -LocalPort $Port -Action Allow -Profile Private -ErrorAction SilentlyContinue | Out-Null } catch {} Write-Host "" Write-Host "----------------------------------------------" Write-Host "Setup complete." Write-Host "Root: $Root" Write-Host "Project root (safe sandbox): $ProjRoot" Write-Host "Run server: $Root\run_bridge.ps1" Write-Host "Send a task: $Root\send_task.ps1 -File $Root\task_sample.json" Write-Host "Optional autostart: powershell -File $Root\enable_autostart.ps1" Write-Host "Endpoint: http://127.0.0.1:$Port/run" Write-Host "----------------------------------------------" Step 2 — Start the Bridge C:\tools\LocalCoderBridge\run_bridge.ps1 Leave this window open (or use the autostart script to run it at logon, hidden). Step 3 — Send a task (no typing, just paste) Example using the included sample: C:\tools\LocalCoderBridge\send_task.ps1 -File C:\tools\LocalCoderBridge\task_sample.json Or interactive paste: C:\tools\LocalCoderBridge\send_task.ps1 # paste JSON, press Enter twice Ready-made Task JSON: Scaffold the Scene Prompt Factory repo Copy this JSON and send it with send_task.ps1. It creates a repo skeleton under C:\tools\MilkaProjects\milka-scene-factory\… with starter files. { "task_name": "scaffold-scene-factory", "approve": true, "steps": [ { "action": "mkdir", "path": "milka-scene-factory/src", "exist_ok": true }, { "action": "mkdir", "path": "milka-scene-factory/out/.keep", "exist_ok": true }, { "action": "write_file", "path": "milka-scene-factory/.env", "content": "OPENAI_API_KEY=PUT_YOUR_KEY_HERE\n", "overwrite": true }, { "action": "write_file", "path": "milka-scene-factory/requirements.txt", "content": "pydantic\npython-dotenv\nrequests\ntenacity\n", "overwrite": true }, { "action": "write_file", "path": "milka-scene-factory/README.md", "content": "# Milka Scene Prompt Factory\nRun: python src/script_to_prompts.py --in examples/script_sample.txt --out out\n", "overwrite": true }, { "action": "write_file", "path": "milka-scene-factory/examples/script_sample.txt", "content": "SCENE: Nana & Rue balcony\nNana and Rue narrate while Tulio lights candles in Dublin.\n\nSCENE: Support Group\nDr. Carter and group react as Tulio denies the dog is his.\\n", "overwrite": true }, { "action": "write_file", "path": "milka-scene-factory/src/models.py", "content": "from pydantic import BaseModel, Field\nfrom typing import List, Dict, Literal, Optional\n\nclass PuppetNotes(BaseModel):\n felt_texture: bool = True\n visible_rods: bool = True\n mouth_type: Literal['can-mouth'] = 'can-mouth'\n framing: str = 'knee-up white background for plates'\n\nclass Beat(BaseModel):\n line_ids: List[str] = []\n summary: str\n characters_present: List[str]\n emotions: Dict[str, List[str]] = {}\n actions: List[str] = []\n music_or_song: Optional[str] = None\n props: List[str] = []\n wardrobe_hints: Dict[str, str] = {}\n puppet_notes: PuppetNotes = PuppetNotes()\n\nclass Location(BaseModel):\n name: str\n type: Literal['interior','exterior','unknown'] = 'unknown'\n time_of_day: str = 'unknown'\n\nclass Deliverables(BaseModel):\n reference_sheet: List[str] = []\n expressions: List[str] = ['closed','open','scrunch','smile','happy','sad','angry','surprised']\n storyboard_frames: int = 6\n\nclass Scene(BaseModel):\n scene_id: str\n title: str\n location: Location\n beats: List[Beat]\n shot_direction: List[str] = []\n deliverables: Deliverables = Deliverables()\n source_refs: List[str] = []\n", "overwrite": true }, { "action": "write_file", "path": "milka-scene-factory/src/prompt_templates.py", "content": "MASTER_SYSTEM = \"\"\"You are a script breakdown agent for a puppet-musical film. Output only what is grounded in the input text. Mark uncertainties as 'Needs verification'. Keep outputs machine-usable and consistent with the project visual bible.\"\"\"\n\nMASTER_USER_FMT = \"\"\"\nTASK\nFrom the SCRIPT below:\n1) Split into scenes.\n2) For each scene, build a canonical JSON object (schema provided).\n3) Ensure each scene includes: characters present, location, actions, per-character emotions, props, wardrobe hints, puppet notes (felt, visible rods, can-mouth, knee-up on white), shot_direction, deliverables.\n\nGLOBAL VISUAL BIBLE\n- Felt puppets, visible control rods, classic can-mouth.\n- Knee-up framing for character plates on white.\n- Distinct skin/hair tones (Nana darker grey hair, Brazilian granny; Rue Indian, softer flowing hair).\n- Expression set per character: [closed, open, scrunch, smile, happy, sad, angry, surprised].\n\nSCHEMA\n{schema}\n\nSCRIPT\n{script}\n\nOUTPUT\nReturn ONLY the JSON array. Do not wrap with prose. If any field is unknown, set \"Needs verification\".\n\"\"\"\n\nCOSTUME_TPL = \"\"\"Generate costume notes for: {characters}\nContext: {title} @ {location}\nStyle: puppet felt world; readable silhouettes; age-appropriate; nation-coded hair/skin tones.\nOutput bullets only:\n- [Char]: key garments, palette, textures, accessories\n- Group cohesion\n- Continuity flags\n\"\"\"\n\nSCENIC_TPL = \"\"\"Design the set for: {location} ({loctype}, {tod})\nInclude: background dressing, prop clusters, signage, color palette, lighting mood.\nKeep space puppet-friendly (simple planes, readable depth).\nHero props: {props}\n\"\"\"\n\nBLOCKING_TPL = \"\"\"Shot list (5–8 frames) for {title}.\nFor each: shot size, angle, who’s visible, action cue, emotion cue, camera note (pan/tilt/hold), caption ref.\nEnd with 'Continuity must-haves'.\n\"\"\"\n\nEXPRESSIONS_TPL = \"\"\"For each character in this scene, produce 9 plate prompts:\n- reference_front (knee-up on white)\n- closed, open, scrunch, smile, happy, sad, angry, surprised\nKeep: felt texture, can-mouth, rods visible, same lighting/background.\n\"\"\"\n\nCHAR_PLATE_TPL = \"\"\"Create {char} as a felt puppet: visible rods, classic can-mouth, knee-up, white background.\nKeep hair/skin rules: {rules}\nDeliver 9 images: reference_front + 8 expressions.\n\"\"\"\n", "overwrite": true }, { "action": "write_file", "path": "milka-scene-factory/src/providers_openai_stub.txt", "content": "Placeholder: your coder will implement OpenAI/Ollama/LM Studio providers.\n", "overwrite": true } ] } Send it: C:\tools\LocalCoderBridge\send_task.ps1 -File C:\tools\LocalCoderBridge\scaffold.json # or paste it interactively with: C:\tools\LocalCoderBridge\send_task.ps1 How you’ll use it from now on Keep run_bridge.ps1 running (or enable autostart). When you ask me “do X,” I’ll reply with a Task JSON. You paste it into send_task.ps1. It executes and prints results. All files go to your sandbox: C:\tools\MilkaProjects\.... If you want me to generate the next Task JSON to fill in the OpenAI provider, CLI, and full pipeline for scene splitting and prompt pack generation, say “next task” and I’ll output it in the Task JSON format ready to paste. You said: from step 2 cant u do all in one script? ChatGPT said: Thought for 15s Yes—let’s collapse everything into one PowerShell file that does it all in one go: Checks 64-bit PowerShell Creates folders Creates virtualenv Installs Python deps Writes the bridge server (FastAPI), the sender tool, and helper scripts Starts the server Immediately sends a sample scaffold task so you can see files appear without doing anything else Copy the script below into a new file named ALL_IN_ONE_LocalCoderBridge.ps1, then run it in 64-bit PowerShell (Admin recommended): # ALL_IN_ONE_LocalCoderBridge.ps1 # One-shot setup: creates & runs the Local Coder Bridge, then executes a demo scaffold task. $ErrorActionPreference = "Stop" # --- 0) Preconditions --- if (-not [Environment]::Is64BitProcess) { Write-Error "This PowerShell is 32-bit. Open the 64-bit PowerShell from C:\Windows\System32\WindowsPowerShell\v1.0\powershell.exe" } # --- 1) Paths & config --- $BridgeRoot = "C:\tools\LocalCoderBridge" $ProjectRoot = "C:\tools\MilkaProjects" $Port = 8765 $Venv = Join-Path $BridgeRoot ".venv" New-Item -ItemType Directory -Force -Path $BridgeRoot | Out-Null New-Item -ItemType Directory -Force -Path $ProjectRoot | Out-Null # --- 2) Files: .env, requirements, server, sender, runner --- @" PROJECT_ROOT=$ProjectRoot ALLOW_SHELL=true PORT=$Port "@ | Set-Content -Encoding UTF8 (Join-Path $BridgeRoot ".env") @" fastapi uvicorn[standard] pydantic python-dotenv pyyaml requests "@ | Set-Content -Encoding UTF8 (Join-Path $BridgeRoot "requirements.txt") # bridge_server.py @' import os, subprocess, shlex from pathlib import Path from typing import List, Literal, Optional, Dict, Any from fastapi import FastAPI, HTTPException from pydantic import BaseModel, Field from dotenv import load_dotenv import requests load_dotenv() PROJECT_ROOT = Path(os.getenv("PROJECT_ROOT", r"C:\tools\MilkaProjects")).resolve() ALLOW_SHELL = os.getenv("ALLOW_SHELL", "false").lower() == "true" PORT = int(os.getenv("PORT", "8765")) app = FastAPI(title="Local Coder Bridge", version="1.0") # SAFETY WHITELIST_CMDS = { "pip": ["python", "pip", "py", "python.exe"], "python": ["python", "py", "python.exe"], "git": ["git", "git.exe"], "node": ["node", "npm", "npx"], "ffmpeg": ["ffmpeg", "ffmpeg.exe"] } def safe_join(rel_path: str) -> Path: p = (PROJECT_ROOT / rel_path).resolve() if PROJECT_ROOT not in p.parents and p != PROJECT_ROOT: raise HTTPException(400, f"path escapes PROJECT_ROOT: {p}") return p # SCHEMA class WriteFile(BaseModel): action: Literal["write_file"] path: str content: str encoding: Literal["utf-8","ascii"] = "utf-8" overwrite: bool = True class Mkdir(BaseModel): action: Literal["mkdir"] path: str exist_ok: bool = True class RunShell(BaseModel): action: Literal["run_shell"] command: str cwd: Optional[str] = None timeout_sec: int = 600 allow: Optional[List[str]] = None class Download(BaseModel): action: Literal["download"] url: str dest: str class Task(BaseModel): task_name: str approve: bool = True steps: List[Dict[str, Any]] = Field(...) # ACTIONS def do_write_file(step: WriteFile): fp = safe_join(step.path) fp.parent.mkdir(parents=True, exist_ok=True) if fp.exists() and not step.overwrite: return {"status":"skipped","reason":"exists and overwrite=False","path":str(fp)} fp.write_text(step.content, encoding=step.encoding) return {"status":"ok","path":str(fp),"bytes":len(step.content.encode(step.encoding))} def do_mkdir(step: Mkdir): dp = safe_join(step.path) dp.mkdir(parents=True, exist_ok=step.exist_ok) return {"status":"ok","path":str(dp)} def do_download(step: Download): dest = safe_join(step.dest) dest.parent.mkdir(parents=True, exist_ok=True) r = requests.get(step.url, timeout=60) r.raise_for_status() dest.write_bytes(r.content) return {"status":"ok","path":str(dest),"bytes":len(r.content)} def do_run_shell(step: RunShell): if not ALLOW_SHELL: return {"status":"blocked","reason":"ALLOW_SHELL=false"} allowed = set() if step.allow: for k in step.allow: allowed.update(WHITELIST_CMDS.get(k, [])) else: for lst in WHITELIST_CMDS.values(): allowed.update(lst) import shlex cmd_tokens = shlex.split(step.command, posix=False) if not cmd_tokens: raise HTTPException(400, "empty command") first = cmd_tokens[0].lower() if not any(first.endswith(a.lower()) or first == a.lower() for a in allowed): raise HTTPException(400, f"command not allowed: {cmd_tokens[0]}") cwd = safe_join(step.cwd).as_posix() if step.cwd else PROJECT_ROOT.as_posix() try: p = subprocess.run(cmd_tokens, cwd=cwd, capture_output=True, text=True, timeout=step.timeout_sec, shell=False) return { "status":"ok" if p.returncode==0 else "error", "returncode": p.returncode, "stdout": p.stdout[-4000:], "stderr": p.stderr[-4000:], "cwd": cwd, "exec": cmd_tokens } except subprocess.TimeoutExpired: return {"status":"timeout","timeout_sec":step.timeout_sec,"cmd":cmd_tokens} # API @app.post("/run") def run_task(task: Task): results = [] for raw in task.steps: action = raw.get("action") try: if action == "write_file": results.append(do_write_file(WriteFile(**raw))) elif action == "mkdir": results.append(do_mkdir(Mkdir(**raw))) elif action == "download": results.append(do_download(Download(**raw))) elif action == "run_shell": results.append(do_run_shell(RunShell(**raw))) else: raise HTTPException(400, f"unknown action: {action}") except HTTPException as e: results.append({"status":"failed","action":action,"error":str(e.detail)}) except Exception as e: results.append({"status":"failed","action":action,"error":repr(e)}) return {"task": task.task_name, "root": str(PROJECT_ROOT), "results": results} if __name__ == "__main__": import uvicorn uvicorn.run(app, host="127.0.0.1", port=PORT) '@ | Set-Content -Encoding UTF8 (Join-Path $BridgeRoot "bridge_server.py") # send_task.ps1 @' param( [string]$Json = "", [string]$File = "", [string]$Url = "http://127.0.0.1:8765/run" ) if ($File -ne "") { $Json = Get-Content -Raw -Encoding UTF8 $File } if ([string]::IsNullOrWhiteSpace($Json)) { Write-Host "Paste task JSON then press Enter twice (empty line to finish):" $lines = @() while ($true) { $line = Read-Host if ([string]::IsNullOrWhiteSpace($line)) { break } $lines += $line } $Json = ($lines -join "`n") } try { $resp = Invoke-RestMethod -Method Post -Uri $Url -Body $Json -ContentType "application/json; charset=utf-8" $resp | ConvertTo-Json -Depth 8 } catch { Write-Error $_.Exception.Message } '@ | Set-Content -Encoding UTF8 (Join-Path $BridgeRoot "send_task.ps1") # run_bridge.ps1 @" `$ErrorActionPreference = 'Stop' Set-Location '$BridgeRoot' .\.venv\Scripts\Activate.ps1 python .\bridge_server.py "@ | Set-Content -Encoding UTF8 (Join-Path $BridgeRoot "run_bridge.ps1") # optional autostart @" `$taskName = 'LocalCoderBridge' `$action = New-ScheduledTaskAction -Execute 'powershell.exe' -Argument '-NoProfile -WindowStyle Hidden -ExecutionPolicy Bypass -File ""$BridgeRoot\run_bridge.ps1""" `$trigger = New-ScheduledTaskTrigger -AtLogOn Register-ScheduledTask -TaskName `$taskName -Action `$action -Trigger `$trigger -Description 'Starts Local Coder Bridge at logon' -Force "@ | Set-Content -Encoding UTF8 (Join-Path $BridgeRoot "enable_autostart.ps1") # --- 3) Python venv + deps --- Write-Host "Creating Python venv and installing dependencies…" if (-not (Test-Path $Venv)) { python -m venv $Venv } & "$Venv\Scripts\Activate.ps1" python -m pip install --upgrade pip python -m pip install -r (Join-Path $BridgeRoot "requirements.txt") | Out-Null # Firewall allow (private) try { New-NetFirewallRule -DisplayName "LocalCoderBridge $Port" -Direction Inbound -Protocol TCP -LocalPort $Port -Action Allow -Profile Private -ErrorAction SilentlyContinue | Out-Null } catch {} # --- 4) Start server (background) --- Write-Host "Starting Local Coder Bridge on 127.0.0.1:$Port …" $job = Start-Job -ScriptBlock { Param($BridgeRoot) Set-Location $BridgeRoot .\.venv\Scripts\Activate.ps1 python .\bridge_server.py } -ArgumentList $BridgeRoot Start-Sleep -Seconds 2 # --- 5) Demo scaffold task (auto-run) --- $ScaffoldJson = @' { "task_name": "scaffold-scene-factory", "approve": true, "steps": [ { "action": "mkdir", "path": "milka-scene-factory/src", "exist_ok": true }, { "action": "mkdir", "path": "milka-scene-factory/out/.keep", "exist_ok": true }, { "action": "write_file", "path": "milka-scene-factory/.env", "content": "OPENAI_API_KEY=PUT_YOUR_KEY_HERE\n", "overwrite": true }, { "action": "write_file", "path": "milka-scene-factory/requirements.txt", "content": "pydantic\npython-dotenv\nrequests\ntenacity\n", "overwrite": true }, { "action": "write_file", "path": "milka-scene-factory/README.md", "content": "# Milka Scene Prompt Factory\nRun: python src/script_to_prompts.py --in examples/script_sample.txt --out out\n", "overwrite": true }, { "action": "write_file", "path": "milka-scene-factory/examples/script_sample.txt", "content": "SCENE: Nana & Rue balcony\nNana and Rue narrate while Tulio lights candles in Dublin.\n\nSCENE: Support Group\nDr. Carter and group react as Tulio denies the dog is his.\n", "overwrite": true }, { "action": "write_file", "path": "milka-scene-factory/src/models.py", "content": "from pydantic import BaseModel\nfrom typing import List, Dict, Literal, Optional\n\nclass PuppetNotes(BaseModel):\n felt_texture: bool = True\n visible_rods: bool = True\n mouth_type: Literal['can-mouth'] = 'can-mouth'\n framing: str = 'knee-up white background for plates'\n\nclass Beat(BaseModel):\n line_ids: List[str] = []\n summary: str\n characters_present: List[str]\n emotions: Dict[str, List[str]] = {}\n actions: List[str] = []\n music_or_song: Optional[str] = None\n props: List[str] = []\n wardrobe_hints: Dict[str, str] = {}\n puppet_notes: PuppetNotes = PuppetNotes()\n\nclass Location(BaseModel):\n name: str\n type: Literal['interior','exterior','unknown'] = 'unknown'\n time_of_day: str = 'unknown'\n\nclass Deliverables(BaseModel):\n reference_sheet: List[str] = []\n expressions: List[str] = ['closed','open','scrunch','smile','happy','sad','angry','surprised']\n storyboard_frames: int = 6\n\nclass Scene(BaseModel):\n scene_id: str\n title: str\n location: Location\n beats: List[Beat]\n shot_direction: List[str] = []\n deliverables: Deliverables = Deliverables()\n source_refs: List[str] = []\n", "overwrite": true }, { "action": "write_file", "path": "milka-scene-factory/src/prompt_templates.py", "content": "MASTER_SYSTEM = \"\"\"You are a script breakdown agent for a puppet-musical film. Output only what is grounded in the input text. Mark uncertainties as 'Needs verification'. Keep outputs machine-usable and consistent with the project visual bible.\"\"\"\n\nMASTER_USER_FMT = \"\"\"\nTASK\nFrom the SCRIPT below:\n1) Split into scenes.\n2) For each scene, build a canonical JSON object (schema provided).\n3) Ensure each scene includes: characters present, location, actions, per-character emotions, props, wardrobe hints, puppet notes (felt, visible rods, can-mouth, knee-up on white), shot_direction, deliverables.\n\nGLOBAL VISUAL BIBLE\n- Felt puppets, visible control rods, classic can-mouth.\n- Knee-up framing for character plates on white.\n- Distinct skin/hair tones (Nana darker grey hair, Brazilian granny; Rue Indian, softer flowing hair).\n- Expression set per character: [closed, open, scrunch, smile, happy, sad, angry, surprised].\n\nSCHEMA\n{schema}\n\nSCRIPT\n{script}\n\nOUTPUT\nReturn ONLY the JSON array. Do not wrap with prose. If any field is unknown, set \"Needs verification\".\n\"\"\"\n\nCOSTUME_TPL = \"\"\"Generate costume notes for: {characters}\nContext: {title} @ {location}\nStyle: puppet felt world; readable silhouettes; age-appropriate; nation-coded hair/skin tones.\nOutput bullets only:\n- [Char]: key garments, palette, textures, accessories\n- Group cohesion\n- Continuity flags\n\"\"\"\n\nSCENIC_TPL = \"\"\"Design the set for: {location} ({loctype}, {tod})\nInclude: background dressing, prop clusters, signage, color palette, lighting mood.\nKeep space puppet-friendly (simple planes, readable depth).\nHero props: {props}\n\"\"\"\n\nBLOCKING_TPL = \"\"\"Shot list (5–8 frames) for {title}.\nFor each: shot size, angle, who’s visible, action cue, emotion cue, camera note (pan/tilt/hold), caption ref.\nEnd with 'Continuity must-haves'.\n\"\"\"\n\nEXPRESSIONS_TPL = \"\"\"For each character in this scene, produce 9 plate prompts:\n- reference_front (knee-up on white)\n- closed, open, scrunch, smile, happy, sad, angry, surprised\nKeep: felt texture, can-mouth, rods visible, same lighting/background.\n\"\"\"\n\nCHAR_PLATE_TPL = \"\"\"Create {char} as a felt puppet: visible rods, classic can-mouth, knee-up, white background.\nKeep hair/skin rules: {rules}\nDeliver 9 images: reference_front + 8 expressions.\n\"\"\"\n", "overwrite": true } ] } '@ $ScaffoldPath = Join-Path $BridgeRoot "scaffold.json" $ScaffoldJson | Set-Content -Encoding UTF8 $ScaffoldPath # Send scaffold task $Sender = Join-Path $BridgeRoot "send_task.ps1" Write-Host "Sending scaffold task…" & $Sender -File $ScaffoldPath | Out-Host Write-Host "" Write-Host "===============================================" Write-Host "Local Coder Bridge is running." Write-Host "Sandbox root: $ProjectRoot" Write-Host "Server endpoint: http://127.0.0.1:$Port/run" Write-Host "Send tasks with: $Sender (paste JSON) OR -File path.json" Write-Host "Repo scaffold created under: $ProjectRoot\milka-scene-factory" Write-Host "Start server later with: $BridgeRoot\run_bridge.ps1" Write-Host "Enable autostart (optional): powershell -File $BridgeRoot\enable_autostart.ps1" Write-Host "===============================================" How to run Open 64-bit PowerShell (Admin recommended). Navigate to where you saved ALL_IN_ONE_LocalCoderBridge.ps1. Run: Set-ExecutionPolicy Bypass -Scope Process -Force .\ALL_IN_ONE_LocalCoderBridge.ps1 It will: Start the server in the background Create C:\tools\MilkaProjects\milka-scene-factory\… with initial files Print the endpoint and usage What you do next Whenever you want me to “just do it,” I’ll reply with a Task JSON. You run: C:\tools\LocalCoderBridge\send_task.ps1 Paste the JSON, press Enter twice. Done. Troubleshooting If it says you’re in 32-bit PowerShell, open the 64-bit one from C:\Windows\System32\.... If port blocked, rerun script; it adds a Private firewall rule. If Python not found, install Python 3.11+ and reopen PowerShell. If you want the next step (a Task JSON that fills in the OpenAI provider + CLI + end-to-end scene splitter), say “next task” and I’ll output it ready to paste into send_task.ps1.