feat: Add Comfy Agent service for NODE3 image/video generation

- Create comfy-agent service with FastAPI + NATS integration
- ComfyUI client with HTTP/WebSocket support
- REST API: /generate/image, /generate/video, /status, /result
- NATS subjects: agent.invoke.comfy, comfy.request.*
- Async job queue with progress tracking
- Docker compose configuration for NODE3
- Update PROJECT-MASTER-INDEX.md with NODE2/NODE3 docs

Co-Authored-By: Warp <agent@warp.dev>

services/comfy-agent/app/__init__.py

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+# services/comfy-agent/app/__init__.py

services/comfy-agent/app/api.py

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+# services/comfy-agent/app/api.py
+from fastapi import APIRouter, HTTPException
+from .models import GenerateImageRequest, GenerateVideoRequest, JobStatus
+from .jobs import JOB_STORE
+from .worker import enqueue
+
+router = APIRouter()
+
+def _build_workflow_t2i(req: GenerateImageRequest) -> dict:
+    # MVP: placeholder graph; you will replace with your canonical Comfy workflow JSON.
+    # Keep it deterministic and param-driven.
+    return {
+        "1": {"class_type": "CLIPTextEncode", "inputs": {"text": req.prompt, "clip": ["2", 0]}},
+        "2": {"class_type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "sdxl.safetensors"}},
+        # TODO: Add complete workflow JSON for text-to-image
+    }
+
+def _build_workflow_t2v(req: GenerateVideoRequest) -> dict:
+    # MVP placeholder for LTX-2 pipeline; replace with actual LTX-2 workflow.
+    return {
+        "1": {"class_type": "CLIPTextEncode", "inputs": {"text": req.prompt, "clip": ["2", 0]}},
+        # TODO: Add complete workflow JSON for text-to-video with LTX-2
+    }
+
+@router.post("/generate/image", response_model=JobStatus)
+async def generate_image(req: GenerateImageRequest):
+    job = JOB_STORE.create("text-to-image")
+    graph = _build_workflow_t2i(req)
+    enqueue(job.job_id, "text-to-image", graph)
+    return JOB_STORE.get(job.job_id)
+
+@router.post("/generate/video", response_model=JobStatus)
+async def generate_video(req: GenerateVideoRequest):
+    job = JOB_STORE.create("text-to-video")
+    graph = _build_workflow_t2v(req)
+    enqueue(job.job_id, "text-to-video", graph)
+    return JOB_STORE.get(job.job_id)
+
+@router.get("/status/{job_id}", response_model=JobStatus)
+async def status(job_id: str):
+    job = JOB_STORE.get(job_id)
+    if not job:
+        raise HTTPException(status_code=404, detail="job_not_found")
+    return job
+
+@router.get("/result/{job_id}", response_model=JobStatus)
+async def result(job_id: str):
+    job = JOB_STORE.get(job_id)
+    if not job:
+        raise HTTPException(status_code=404, detail="job_not_found")
+    return job

services/comfy-agent/app/comfyui_client.py

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+# services/comfy-agent/app/comfyui_client.py
+import asyncio
+import httpx
+import json
+import websockets
+from typing import Any, Dict, Optional, Callable
+from .config import settings
+
+ProgressCb = Callable[[float, str], None]
+
+class ComfyUIClient:
+    def __init__(self) -> None:
+        self.http = httpx.AsyncClient(base_url=settings.COMFYUI_HTTP, timeout=60)
+
+    async def queue_prompt(self, prompt_graph: Dict[str, Any], client_id: str) -> str:
+        # ComfyUI expects: {"prompt": {...}, "client_id": "..."}
+        r = await self.http.post("/prompt", json={"prompt": prompt_graph, "client_id": client_id})
+        r.raise_for_status()
+        data = r.json()
+        # typically returns {"prompt_id": "...", "number": ...}
+        return data["prompt_id"]
+
+    async def wait_progress(self, client_id: str, prompt_id: str, on_progress: Optional[ProgressCb] = None) -> None:
+        # WS emits progress/executing/status; keep generic handling
+        ws_url = f"{settings.COMFYUI_WS}?clientId={client_id}"
+        async with websockets.connect(ws_url, max_size=50_000_000) as ws:
+            while True:
+                msg = await ws.recv()
+                evt = json.loads(msg)
+
+                # Best-effort progress mapping
+                if evt.get("type") == "progress":
+                    data = evt.get("data", {})
+                    max_v = float(data.get("max", 1.0))
+                    val = float(data.get("value", 0.0))
+                    p = 0.0 if max_v <= 0 else min(1.0, val / max_v)
+                    if on_progress:
+                        on_progress(p, "progress")
+
+                # completion signal varies; "executing" with node=None часто означає done
+                if evt.get("type") == "executing":
+                    data = evt.get("data", {})
+                    if data.get("prompt_id") == prompt_id and data.get("node") is None:
+                        if on_progress:
+                            on_progress(1.0, "done")
+                        return
+
+    async def get_history(self, prompt_id: str) -> Dict[str, Any]:
+        r = await self.http.get(f"/history/{prompt_id}")
+        r.raise_for_status()
+        return r.json()
+
+    async def close(self) -> None:
+        await self.http.aclose()

services/comfy-agent/app/config.py

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+# services/comfy-agent/app/config.py
+from pydantic_settings import BaseSettings
+
+class Settings(BaseSettings):
+    SERVICE_NAME: str = "comfy-agent"
+    API_HOST: str = "0.0.0.0"
+    API_PORT: int = 8880
+
+    COMFYUI_HTTP: str = "http://127.0.0.1:8188"
+    COMFYUI_WS: str = "ws://127.0.0.1:8188/ws"
+
+    NATS_URL: str = "nats://144.76.224.179:4222"  # NODE1 production IP
+    NATS_SUBJECT_INVOKE: str = "agent.invoke.comfy"
+    NATS_SUBJECT_IMAGE: str = "comfy.request.image"
+    NATS_SUBJECT_VIDEO: str = "comfy.request.video"
+
+    STORAGE_PATH: str = "/data/comfy-results"
+    PUBLIC_BASE_URL: str = "http://212.8.58.133:8880/files"  # NODE3 IP
+
+    MAX_CONCURRENCY: int = 1  # для LTX-2 стартово краще 1
+
+settings = Settings()

services/comfy-agent/app/jobs.py

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+# services/comfy-agent/app/jobs.py
+import uuid
+from typing import Dict, Optional
+from .models import JobStatus, GenType
+
+class JobStore:
+    def __init__(self) -> None:
+        self._jobs: Dict[str, JobStatus] = {}
+
+    def create(self, gen_type: GenType) -> JobStatus:
+        job_id = f"job_{uuid.uuid4().hex}"
+        js = JobStatus(job_id=job_id, type=gen_type, status="queued", progress=0.0)
+        self._jobs[job_id] = js
+        return js
+
+    def get(self, job_id: str) -> Optional[JobStatus]:
+        return self._jobs.get(job_id)
+
+    def update(self, job_id: str, **patch) -> JobStatus:
+        js = self._jobs[job_id]
+        updated = js.model_copy(update=patch)
+        self._jobs[job_id] = updated
+        return updated
+
+JOB_STORE = JobStore()

services/comfy-agent/app/main.py

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+# services/comfy-agent/app/main.py
+import asyncio
+from fastapi import FastAPI
+from fastapi.staticfiles import StaticFiles
+from .config import settings
+from .api import router
+from .worker import worker_loop
+from .nats_client import start_nats
+from .storage import ensure_storage
+
+app = FastAPI(title="Comfy Agent Service", version="0.1.0")
+app.include_router(router)
+
+@app.on_event("startup")
+async def startup():
+    ensure_storage()
+
+    # Static files for result URLs: /files/{job_id}/...
+    app.mount("/files", StaticFiles(directory=settings.STORAGE_PATH), name="files")
+
+    asyncio.create_task(worker_loop())
+    await start_nats()
+
+@app.get("/healthz")
+async def healthz():
+    return {"ok": True, "service": settings.SERVICE_NAME}

services/comfy-agent/app/models.py

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+# services/comfy-agent/app/models.py
+from pydantic import BaseModel, Field
+from typing import Any, Dict, Optional, Literal
+
+GenType = Literal["text-to-image", "text-to-video", "image-to-video"]
+
+class GenerateImageRequest(BaseModel):
+    prompt: str = Field(min_length=1)
+    negative_prompt: Optional[str] = None
+    width: int = 1024
+    height: int = 1024
+    steps: int = 28
+    seed: Optional[int] = None
+    workflow: Optional[str] = None
+    workflow_params: Dict[str, Any] = Field(default_factory=dict)
+
+class GenerateVideoRequest(BaseModel):
+    prompt: str = Field(min_length=1)
+    seconds: int = 4
+    fps: int = 24
+    steps: int = 30
+    seed: Optional[int] = None
+    workflow: Optional[str] = None
+    workflow_params: Dict[str, Any] = Field(default_factory=dict)
+
+class JobStatus(BaseModel):
+    job_id: str
+    type: GenType
+    status: Literal["queued", "running", "succeeded", "failed"]
+    progress: float = 0.0
+    message: Optional[str] = None
+    result_url: Optional[str] = None
+    error: Optional[str] = None
+    comfy_prompt_id: Optional[str] = None

services/comfy-agent/app/nats_client.py

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+# services/comfy-agent/app/nats_client.py
+import json
+import asyncio
+from nats.aio.client import Client as NATS
+from .config import settings
+from .jobs import JOB_STORE
+from .worker import enqueue
+
+async def start_nats() -> NATS:
+    nc = NATS()
+    await nc.connect(servers=[settings.NATS_URL])
+
+    async def handle(msg):
+        subj = msg.subject
+        reply = msg.reply
+        payload = json.loads(msg.data.decode("utf-8"))
+
+        # payload contract (MVP):
+        # { "type": "text-to-image|text-to-video", "workflow": {...} }
+        gen_type = payload.get("type", "text-to-image")
+        workflow = payload.get("workflow")
+        if not workflow:
+            if reply:
+                await nc.publish(reply, json.dumps({"error": "missing_workflow"}).encode())
+            return
+
+        job = JOB_STORE.create(gen_type)
+        enqueue(job.job_id, gen_type, workflow)
+
+        if reply:
+            await nc.publish(reply, json.dumps({"job_id": job.job_id}).encode())
+
+    await nc.subscribe(settings.NATS_SUBJECT_INVOKE, cb=handle)
+    await nc.subscribe(settings.NATS_SUBJECT_IMAGE, cb=handle)
+    await nc.subscribe(settings.NATS_SUBJECT_VIDEO, cb=handle)
+    return nc

services/comfy-agent/app/storage.py

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+# services/comfy-agent/app/storage.py
+import os
+from pathlib import Path
+from .config import settings
+
+def ensure_storage() -> None:
+    Path(settings.STORAGE_PATH).mkdir(parents=True, exist_ok=True)
+
+def make_job_dir(job_id: str) -> str:
+    ensure_storage()
+    d = os.path.join(settings.STORAGE_PATH, job_id)
+    Path(d).mkdir(parents=True, exist_ok=True)
+    return d
+
+def public_url(job_id: str, filename: str) -> str:
+    return f"{settings.PUBLIC_BASE_URL}/{job_id}/{filename}"

services/comfy-agent/app/worker.py

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+# services/comfy-agent/app/worker.py
+import asyncio
+import uuid
+import os
+import json
+from typing import Any, Dict, Optional, Tuple
+from .jobs import JOB_STORE
+from .storage import make_job_dir, public_url
+from .comfyui_client import ComfyUIClient
+from .config import settings
+
+_queue: "asyncio.Queue[Tuple[str, str, Dict[str, Any]]]" = asyncio.Queue()
+
+def enqueue(job_id: str, gen_type: str, prompt_graph: Dict[str, Any]) -> None:
+    _queue.put_nowait((job_id, gen_type, prompt_graph))
+
+async def _extract_first_output(history: Dict[str, Any], job_dir: str) -> Optional[str]:
+    # ComfyUI history structure can vary; implement a conservative extraction:
+    # try to find any "images" or "gifs"/"videos" outputs and download via /view
+    # For MVP: prefer /view?filename=...&type=output&subfolder=...
+    # Here we return a "manifest.json" to unblock integration even if file fetching needs refinement.
+    manifest_path = os.path.join(job_dir, "manifest.json")
+    with open(manifest_path, "w", encoding="utf-8") as f:
+        json.dump(history, f, ensure_ascii=False, indent=2)
+    return "manifest.json"
+
+async def worker_loop() -> None:
+    client = ComfyUIClient()
+    sem = asyncio.Semaphore(settings.MAX_CONCURRENCY)
+
+    async def run_one(job_id: str, gen_type: str, prompt_graph: Dict[str, Any]) -> None:
+        async with sem:
+            JOB_STORE.update(job_id, status="running", progress=0.01)
+
+            client_id = f"comfy-agent-{uuid.uuid4().hex}"
+            def on_p(p: float, msg: str) -> None:
+                JOB_STORE.update(job_id, progress=float(p), message=msg)
+
+            try:
+                prompt_id = await client.queue_prompt(prompt_graph, client_id=client_id)
+                JOB_STORE.update(job_id, comfy_prompt_id=prompt_id)
+
+                await client.wait_progress(client_id=client_id, prompt_id=prompt_id, on_progress=on_p)
+
+                hist = await client.get_history(prompt_id)
+                job_dir = make_job_dir(job_id)
+                fname = await _extract_first_output(hist, job_dir)
+                if not fname:
+                    JOB_STORE.update(job_id, status="failed", error="No outputs found in ComfyUI history")
+                    return
+
+                url = public_url(job_id, fname)
+                JOB_STORE.update(job_id, status="succeeded", progress=1.0, result_url=url)
+
+            except Exception as e:
+                JOB_STORE.update(job_id, status="failed", error=str(e))
+
+    while True:
+        job_id, gen_type, prompt_graph = await _queue.get()
+        asyncio.create_task(run_one(job_id, gen_type, prompt_graph))