diff --git a/bots/converters/smart_video_router.py b/bots/converters/smart_video_router.py
new file mode 100644
index 0000000..8db42fc
--- /dev/null
+++ b/bots/converters/smart_video_router.py
@@ -0,0 +1,337 @@
+"""
+bots/converters/smart_video_router.py [NEW]
+
+Budget-aware video engine selection and fallback router.
+
+Selection logic:
+  1. Kling free credits remaining? → use Kling
+  2. Budget allows paid? → cheapest quality engine
+  3. Daily limit hit? → FFmpeg fallback
+  4. Any engine fails? → next in priority (no retry on same)
+
+Usage:
+  from bots.converters.smart_video_router import SmartVideoRouter
+  router = SmartVideoRouter(resolved_config)
+  engine = router.select(duration_sec=30, needs_audio=True)
+  path   = router.generate(prompt, engine, '/tmp/out.mp4')
+
+Test mode:
+  python -m bots.converters.smart_video_router --test
+"""
+
+import json
+import logging
+import os
+import sys
+from datetime import date
+from pathlib import Path
+from typing import Optional
+
+from dotenv import load_dotenv
+
+load_dotenv(dotenv_path='D:/key/blog-writer.env.env')
+
+BASE_DIR = Path(__file__).parent.parent.parent
+LOG_DIR = BASE_DIR / 'logs'
+DATA_DIR = BASE_DIR / 'data'
+STATE_FILE = DATA_DIR / 'video_router_state.json'
+
+LOG_DIR.mkdir(exist_ok=True)
+DATA_DIR.mkdir(exist_ok=True)
+
+logger = logging.getLogger(__name__)
+if not logger.handlers:
+    handler = logging.FileHandler(LOG_DIR / 'smart_video_router.log', encoding='utf-8')
+    handler.setFormatter(logging.Formatter('%(asctime)s [%(levelname)s] %(message)s'))
+    logger.addHandler(handler)
+    logger.addHandler(logging.StreamHandler())
+    logger.setLevel(logging.INFO)
+
+
+class SmartVideoRouter:
+    """
+    Budget-aware video engine selection and fallback.
+
+    Logic:
+    1. Kling free credits remaining? → use Kling
+    2. Budget allows paid? → cheapest quality engine
+    3. Daily limit hit? → FFmpeg fallback
+    4. Any engine fails? → next in priority (no retry on same)
+    """
+
+    def __init__(self, resolved_config: dict):
+        """
+        resolved_config: output from ConfigResolver.resolve(), or raw engine.json dict.
+        Expects video_generation key with provider/options structure.
+        """
+        video_cfg = resolved_config.get('video_generation', {})
+        opts = video_cfg.get('options', {})
+        router_cfg = opts.get('smart_router', {})
+
+        self.priority: list = router_cfg.get(
+            'priority', ['kling_free', 'veo3', 'seedance2', 'ffmpeg_slides']
+        )
+        self.daily_cost_limit_usd: float = router_cfg.get('daily_cost_limit_usd', 0.50)
+        self.prefer_free_first: bool = router_cfg.get('prefer_free_first', True)
+        self.fallback_engine: str = router_cfg.get('fallback', 'ffmpeg_slides')
+
+        self.engine_opts: dict = opts  # all engine option blocks
+        self.state: dict = self._get_state()
+
+    # ── State management ────────────────────────────────────
+
+    def _get_state(self) -> dict:
+        """Load daily state from disk; reset if date has changed."""
+        today = str(date.today())
+        default = {
+            'date': today,
+            'cost_usd': 0.0,
+            'kling_credits_used': 0,
+        }
+        if STATE_FILE.exists():
+            try:
+                saved = json.loads(STATE_FILE.read_text(encoding='utf-8'))
+                if saved.get('date') == today:
+                    return saved
+                # New day — reset counters, keep structure
+                logger.info(f"날짜 변경 감지 ({saved.get('date')} → {today}): 라우터 상태 초기화")
+            except Exception as e:
+                logger.warning(f"상태 파일 읽기 실패: {e}")
+        self._save_state(default)
+        return default
+
+    def _save_state(self, state: Optional[dict] = None) -> None:
+        """Persist router state to data/video_router_state.json."""
+        target = state if state is not None else self.state
+        try:
+            STATE_FILE.write_text(
+                json.dumps(target, ensure_ascii=False, indent=2),
+                encoding='utf-8',
+            )
+        except Exception as e:
+            logger.warning(f"상태 파일 저장 실패: {e}")
+
+    # ── Engine availability checks ───────────────────────────
+
+    def _has_api_key(self, engine_name: str) -> bool:
+        """Return True if the engine's API key env var is set and non-empty."""
+        cfg = self.engine_opts.get(engine_name, {})
+        key_env = cfg.get('api_key_env', '')
+        if not key_env:
+            # ffmpeg_slides has no API key requirement
+            return True
+        return bool(os.getenv(key_env, '').strip())
+
+    def _kling_credits_available(self) -> bool:
+        """Return True if Kling free credits are still available today."""
+        kling_cfg = self.engine_opts.get('kling_free', {})
+        daily_credits = kling_cfg.get('free_daily_credits', 66)
+        used = self.state.get('kling_credits_used', 0)
+        return used < daily_credits
+
+    def _budget_allows(self, engine_name: str, duration_sec: float) -> bool:
+        """Return True if engine cost fits within remaining daily budget."""
+        cfg = self.engine_opts.get(engine_name, {})
+        cost_per_sec = cfg.get('cost_per_sec', 0)
+        if cost_per_sec == 0:
+            return True
+        estimated_cost = cost_per_sec * duration_sec
+        spent = self.state.get('cost_usd', 0.0)
+        return (spent + estimated_cost) <= self.daily_cost_limit_usd
+
+    # ── Public API ────────────────────────────────────────────
+
+    def select(self, duration_sec: float, needs_audio: bool) -> str:
+        """
+        Select best available engine for the given clip duration.
+        Returns engine name string (never empty — falls back to ffmpeg_slides).
+        """
+        self.state = self._get_state()  # refresh in case of date change
+
+        for engine in self.priority:
+            if engine == 'ffmpeg_slides':
+                logger.info("영상 라우터: ffmpeg_slides 선택 (최종 폴백)")
+                return 'ffmpeg_slides'
+
+            if engine == 'kling_free':
+                if self._has_api_key('kling_free') and self._kling_credits_available():
+                    logger.info("영상 라우터: kling_free 선택 (무료 크레딧 잔여)")
+                    return 'kling_free'
+                continue
+
+            # Paid engines (veo3, seedance2, ...)
+            if self._has_api_key(engine) and self._budget_allows(engine, duration_sec):
+                logger.info(f"영상 라우터: {engine} 선택 (예산 내 유료 엔진)")
+                return engine
+
+        # Final safety net
+        logger.info("영상 라우터: ffmpeg_slides 최종 폴백 선택")
+        return self.fallback_engine
+
+    def generate(self, prompt, engine: str, output_path: str) -> str:
+        """
+        Generate a video clip using the specified engine.
+
+        prompt: ComposedPrompt object with .text attribute, or plain str.
+        Returns path to output MP4, or '' on failure.
+        """
+        # Normalise prompt to str
+        if hasattr(prompt, 'text'):
+            prompt_text = prompt.text
+        else:
+            prompt_text = str(prompt)
+
+        logger.info(f"영상 생성 시작: 엔진={engine}, 출력={output_path}")
+
+        if engine == 'kling_free':
+            result = self._generate_kling(prompt_text, output_path)
+        elif engine == 'ffmpeg_slides':
+            result = self._generate_ffmpeg(prompt_text, output_path)
+        else:
+            # veo3, seedance2, runway, etc. — stub: not yet implemented
+            logger.warning(f"{engine} 구현 미완성 — 폴백 트리거")
+            result = ''
+
+        if result:
+            # Update cost tracking
+            cfg = self.engine_opts.get(engine, {})
+            cost_per_sec = cfg.get('cost_per_sec', 0)
+            if cost_per_sec > 0:
+                # Estimate 30s clip cost as a rough default
+                self.state['cost_usd'] = round(
+                    self.state.get('cost_usd', 0.0) + cost_per_sec * 30, 4
+                )
+                self._save_state()
+            logger.info(f"영상 생성 완료: {result}")
+        else:
+            logger.warning(f"영상 생성 실패: 엔진={engine}")
+
+        return result
+
+    def on_failure(self, engine: str, error: str) -> str:
+        """
+        Called when an engine fails mid-generation.
+        Returns next engine to try, or 'ffmpeg_slides' as final fallback.
+        """
+        logger.warning(f"엔진 실패 처리: {engine} — {error}")
+        try:
+            idx = self.priority.index(engine)
+            next_engines = self.priority[idx + 1:]
+        except ValueError:
+            next_engines = []
+
+        for candidate in next_engines:
+            logger.info(f"다음 엔진 시도: {candidate}")
+            return candidate
+
+        logger.info("모든 엔진 소진 — ffmpeg_slides 최종 폴백")
+        return 'ffmpeg_slides'
+
+    # ── Engine implementations ────────────────────────────────
+
+    def _generate_kling(self, prompt_text: str, output_path: str) -> str:
+        """
+        Kling free tier stub implementation.
+
+        The actual Kling API integration is pending (V3.1).
+        For now, log that the call would be made and fall back to ffmpeg_slides.
+        """
+        api_key = os.getenv('KLING_API_KEY', '')
+        if not api_key:
+            logger.warning("KLING_API_KEY 미설정 — ffmpeg_slides 폴백")
+            return self._generate_ffmpeg(prompt_text, output_path)
+
+        kling_cfg = self.engine_opts.get('kling_free', {})
+        api_url = kling_cfg.get('api_url', 'https://api.klingai.com/v1')
+
+        # Stub: log what would happen, then fall back
+        logger.info(
+            f"[스텁] Kling API 호출 예정: POST {api_url}/videos/text2video "
+            f"(프롬프트: {prompt_text[:60]}...) — 실제 통합 V3.1에서 구현 예정"
+        )
+        logger.info("Kling 스텁 실행 — ffmpeg_slides로 폴백하여 영상 생성")
+
+        # Track credit usage even for stub (as if 1 credit consumed per call)
+        self.state['kling_credits_used'] = self.state.get('kling_credits_used', 0) + 1
+        self._save_state()
+
+        return self._generate_ffmpeg(prompt_text, output_path)
+
+    def _generate_ffmpeg(self, prompt_text: str, output_path: str) -> str:
+        """
+        Generate a minimal single-scene video using FFmpegSlidesEngine.
+        Accepts a plain text prompt and wraps it into a scene list.
+        """
+        try:
+            from bots.converters.video_engine import FFmpegSlidesEngine
+            ffmpeg_cfg = self.engine_opts.get('ffmpeg_slides', {})
+            engine = FFmpegSlidesEngine(ffmpeg_cfg)
+
+            # Wrap prompt into minimal scene structure expected by FFmpegSlidesEngine
+            scenes = [
+                {
+                    'text': prompt_text[:200],  # truncate if very long
+                    'type': 'headline',
+                }
+            ]
+            return engine.generate(scenes, output_path)
+        except Exception as e:
+            logger.error(f"FFmpegSlidesEngine 실패: {e}")
+            return ''
+
+
+# ── Module entry point (--test mode) ─────────────────────────
+
+def _load_engine_config() -> dict:
+    """Load engine.json from config directory."""
+    config_path = BASE_DIR / 'config' / 'engine.json'
+    try:
+        return json.loads(config_path.read_text(encoding='utf-8'))
+    except Exception as e:
+        logger.error(f"engine.json 로드 실패: {e}")
+        return {}
+
+
+def _run_test() -> None:
+    """Print current router state and selected engine for a 30s clip."""
+    print("=" * 60)
+    print("SmartVideoRouter - 테스트 모드")
+    print("=" * 60)
+
+    config = _load_engine_config()
+    if not config:
+        print("[오류] engine.json 로드 실패")
+        sys.exit(1)
+
+    router = SmartVideoRouter(config)
+
+    print("\n[현재 상태]")
+    state = router._get_state()
+    for k, v in state.items():
+        print(f"  {k}: {v}")
+
+    print("\n[엔진 우선순위]")
+    for i, eng in enumerate(router.priority, 1):
+        has_key = router._has_api_key(eng)
+        key_env = router.engine_opts.get(eng, {}).get('api_key_env', '(없음)')
+        print(f"  {i}. {eng} - API키={key_env} 설정됨={has_key}")
+
+    print("\n[30초 클립 엔진 선택]")
+    selected = router.select(duration_sec=30, needs_audio=True)
+    print(f"  → 선택된 엔진: {selected}")
+
+    cost_spent = state.get('cost_usd', 0.0)
+    cost_limit = router.daily_cost_limit_usd
+    kling_used = state.get('kling_credits_used', 0)
+    kling_limit = router.engine_opts.get('kling_free', {}).get('free_daily_credits', 66)
+    print(f"\n[예산 현황]")
+    print(f"  일일 비용: ${cost_spent:.4f} / ${cost_limit:.2f}")
+    print(f"  Kling 크레딧: {kling_used} / {kling_limit} 사용")
+    print("=" * 60)
+
+
+if __name__ == '__main__':
+    if '--test' in sys.argv:
+        _run_test()
+    else:
+        print("사용법: python -m bots.converters.smart_video_router --test")
diff --git a/config/engine.json b/config/engine.json
index e291f98..de22589 100644
--- a/config/engine.json
+++ b/config/engine.json
@@ -1,6 +1,6 @@
 {
   "_comment": "The 4th Path 블로그 자동 수익 엔진 — 엔진 설정 (v3)",
-  "_updated": "2026-03-26",
+  "_updated": "2026-03-29",
   "writing": {
     "provider": "openclaw",
     "_comment_provider": "openclaw=ChatGPT Pro(OAuth), claude_web=Claude Max(웹쿠키), gemini_web=Gemini Pro(웹쿠키), claude=Anthropic API키, gemini=Google AI API키",
@@ -75,8 +75,40 @@
     }
   },
   "video_generation": {
-    "provider": "sora",
+    "provider": "smart_router",
     "options": {
+      "smart_router": {
+        "priority": ["kling_free", "veo3", "seedance2", "ffmpeg_slides"],
+        "daily_cost_limit_usd": 0.50,
+        "prefer_free_first": true,
+        "fallback": "ffmpeg_slides"
+      },
+      "kling_free": {
+        "api_url": "https://api.klingai.com/v1",
+        "api_key_env": "KLING_API_KEY",
+        "free_daily_credits": 66,
+        "mode": "standard",
+        "resolution": "720p",
+        "aspect_ratio": "9:16",
+        "audio": true,
+        "cost_per_sec": 0
+      },
+      "veo3": {
+        "api_key_env": "GEMINI_API_KEY",
+        "model": "veo-3.1",
+        "resolution": "720p",
+        "aspect_ratio": "9:16",
+        "audio": true,
+        "cost_per_sec": 0.03
+      },
+      "seedance2": {
+        "provider": "fal.ai",
+        "api_key_env": "FAL_API_KEY",
+        "model": "seedance-2.0",
+        "resolution": "720p",
+        "audio": true,
+        "cost_per_sec": 0.022
+      },
       "ffmpeg_slides": {
         "resolution": "1080x1920",
         "fps": 30,
@@ -88,6 +120,7 @@
         "burn_subtitles": true
       },
       "seedance": {
+        "_comment": "레거시 — seedance2/FAL_API_KEY로 대체됨",
         "api_url": "https://api.seedance2.ai/v1/generate",
         "api_key_env": "SEEDANCE_API_KEY",
         "resolution": "1080x1920",
@@ -95,11 +128,6 @@
         "audio": true,
         "fallback": "ffmpeg_slides"
       },
-      "sora": {
-        "comment": "OpenAI Sora — API 접근 가능 시 활성화",
-        "api_key_env": "OPENAI_API_KEY",
-        "fallback": "ffmpeg_slides"
-      },
       "runway": {
         "api_key_env": "RUNWAY_API_KEY",
         "model": "gen3a_turbo",
@@ -108,7 +136,7 @@
         "fallback": "ffmpeg_slides"
       },
       "veo": {
-        "comment": "Google Veo 3.1 — API 접근 가능 시 활성화",
+        "comment": "Google Veo 3.1 레거시 — veo3로 대체됨",
         "api_key_env": "GEMINI_API_KEY",
         "fallback": "ffmpeg_slides"
       }
@@ -170,9 +198,10 @@
     "cta": "팔로우하면 매일 이런 정보를 받습니다"
   },
   "optional_keys": {
-    "SEEDANCE_API_KEY": "Seedance 2.0 AI 영상 생성",
+    "KLING_API_KEY": "Kling 3.0 AI 영상 생성 (66 무료 크레딧/일)",
+    "FAL_API_KEY": "Seedance 2.0 AI 영상 생성 (fal.ai)",
     "ELEVENLABS_API_KEY": "ElevenLabs 고품질 TTS",
     "GEMINI_API_KEY": "Google Gemini 글쓰기 / Veo 영상",
     "RUNWAY_API_KEY": "Runway Gen-3 AI 영상 생성"
   }
-}
\ No newline at end of file
+}