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Arshit Malik commited on
Commit ·
7509dd0
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Parent(s):
initial: OpenClaw + custom 70B IQ2_XS + Telegram
Browse files- Dockerfile +18 -0
- SOUL.md +27 -0
- start.sh +157 -0
Dockerfile
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FROM python:3.11-slim-bookworm
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RUN apt-get update && apt-get install -y \
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curl nginx cron procps git \
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&& rm -rf /var/lib/apt/lists/*
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RUN curl -fsSL https://ollama.com/install.sh | sh
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RUN pip install --no-cache-dir openclaw huggingface_hub
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RUN printf 'server {\n listen 7860;\n location / {\n proxy_pass http://127.0.0.1:8080;\n proxy_http_version 1.1;\n proxy_set_header Upgrade $http_upgrade;\n proxy_set_header Connection "upgrade";\n proxy_set_header Host $host;\n }\n}\n' > /etc/nginx/sites-available/default
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WORKDIR /app
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COPY . .
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RUN chmod +x start.sh
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EXPOSE 7860
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CMD ["/app/start.sh"]
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SOUL.md
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# YT Pipeline Assistant
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You are the AI assistant for a YouTube Shorts automation pipeline. You run on a Hugging Face Space with DeepSeek R1 Distill Llama 70B via Ollama.
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## Your Environment
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- **You**: OpenClaw on HF Space `yt-claw`
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- **Pipeline**: HF Space `yt-flow` (automation.py orchestrates Kaggle kernels)
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- **Codebase for editing**: `/app/yt-flow/` — git-enabled, you can commit and push
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- **State backup**: `~/.openclaw/` synced to HF Dataset every 15 min
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## Pipeline Steps
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1. CONTENT — Kaggle kernel with DeepSeek-R1-32B GGUF
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2. FLUX — Kaggle kernel generates images
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3. TTS — Kaggle kernel with StyleTTS2 + Whisper
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## Your Capabilities
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- Read pipeline logs at `https://arshitmalik-yt-flow.hf.space`
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- Edit code in `/app/yt-flow/` and push (git add → commit → push)
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- HF auto-rebuilds yt-flow on push
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- Debug Kaggle kernel failures by analyzing kernel output
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- Monitor topic/fact history to avoid repetition
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## Common Bugs You Can Fix
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- Kaggle 429 → increase time.sleep between kernel pushes
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- llama-cpp build failure → use --only-binary :all: in pip install
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- Space paused → check Ollama memory, reduce context if needed
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- YouTube auth expired → remind user to run auth_youtube.py from Mac
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start.sh
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#!/bin/bash
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set -e
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echo "[boot] Creating 10 GB swap..."
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fallocate -l 10G /swapfile 2>/dev/null || dd if=/dev/zero of=/swapfile bs=1M count=10240 2>/dev/null
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chmod 600 /swapfile && mkswap /swapfile && swapon /swapfile
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echo "[boot] Pulling OpenClaw state..."
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python3 -c "
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import sys, os; sys.path.insert(0, '/app')
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HF_TOKEN = os.environ.get('HF_TOKEN', '')
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DATASET_REPO = os.environ.get('OPENCLAW_DATASET_REPO', '')
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if HF_TOKEN and DATASET_REPO:
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from huggingface_hub import hf_hub_download
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from huggingface_hub.utils import EntryNotFoundError
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for fname in ['openclaw.json', 'SOUL.md']:
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try:
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hf_hub_download(repo_id=DATASET_REPO, filename=f'openclaw/{fname}',
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repo_type='dataset', token=HF_TOKEN,
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local_dir='/root', local_dir_use_symlinks=False)
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except EntryNotFoundError: pass
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except Exception as e: print(f' {e}')
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"
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echo "[boot] Configuring OpenClaw..."
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mkdir -p ~/.openclaw
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cat > ~/.openclaw/openclaw.json << JSONEOF
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{
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"gateway": {"port": 8080, "bind": "0.0.0.0"},
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"identity": {"name": "YT Pipeline Assistant"},
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"channels": {
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"telegram": {
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"enabled": true,
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"botToken": "${TELEGRAM_BOT_TOKEN}",
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"dmPolicy": "pairing"
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}
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},
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"models": {
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"providers": {
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"ollama": {
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"baseUrl": "http://127.0.0.1:11434/v1",
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"apiKey": "ollama-local",
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"api": "openai-chat",
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"models": [
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{
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"id": "deepseek-r1-70b",
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"name": "DeepSeek R1 Distill Llama 70B IQ2_XS",
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"contextWindow": 131072,
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"maxTokens": 8192
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}
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]
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}
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}
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},
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"agents": {
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"defaults": {
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"model": {"primary": "ollama/deepseek-r1-70b"},
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"workspace": "/app/yt-flow"
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}
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}
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}
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JSONEOF
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[ -f /app/SOUL.md ] && cp /app/SOUL.md ~/.openclaw/SOUL.md
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git config --global user.name "YT Pipeline Bot"
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git config --global user.email "yt-pipe-bot@hf.space"
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git clone https://arshitmalik:${HF_TOKEN}@huggingface.co/spaces/arshitmalik/yt-flow /app/yt-flow 2>/dev/null || true
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# Backup cron
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cat > /tmp/backup.sh << 'CRONEOF'
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#!/bin/bash
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python3 -c "
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import os, sys; sys.path.insert(0, '/app')
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HF_TOKEN = os.environ.get('HF_TOKEN', '')
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DATASET_REPO = os.environ.get('OPENCLAW_DATASET_REPO', '')
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if not HF_TOKEN or not DATASET_REPO: sys.exit(0)
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from huggingface_hub import HfApi
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api = HfApi(token=HF_TOKEN)
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from pathlib import Path
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for f in Path('/root/.openclaw').glob('*'):
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if f.is_file():
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try:
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api.upload_file(
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path_or_fileobj=str(f),
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path_in_repo=f'openclaw/{f.name}',
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repo_id=DATASET_REPO,
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repo_type='dataset'
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)
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except Exception as e: pass
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" 2>/dev/null
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CRONEOF
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chmod +x /tmp/backup.sh
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echo "*/15 * * * * /tmp/backup.sh" | crontab -
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# Temporary health server (keeps Space alive during setup)
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python3 -c "
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from http.server import HTTPServer, BaseHTTPRequestHandler
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class H(BaseHTTPRequestHandler):
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def do_GET(self):
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self.send_response(200); self.end_headers(); self.wfile.write(b'ok')
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HTTPServer(('0.0.0.0', 8080), H).serve_forever()
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" &
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HEALTH_PID=$!
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echo "[boot] Starting nginx..."
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nginx
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echo "[boot] Starting Ollama..."
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export OLLAMA_FLASH_ATTENTION=1
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export OLLAMA_KV_CACHE_TYPE=q4_0
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OLLAMA_HOST=127.0.0.1 OLLAMA_NUM_PARALLEL=1 OLLAMA_MAX_LOADED_MODELS=1 ollama serve &
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for i in $(seq 1 30); do
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if curl -sf http://127.0.0.1:11434/api/tags > /dev/null 2>&1; then
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echo "[boot] Ollama ready after ${i}s"; break
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fi
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sleep 2
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done
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echo "[boot] Building custom 70B IQ2_XS model (~3 min)..."
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python3 << PYEOF
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import subprocess, sys, os
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from pathlib import Path
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from huggingface_hub import hf_hub_download
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gguf_path = hf_hub_download(
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repo_id="bartowski/DeepSeek-R1-Distill-Llama-70B-GGUF",
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filename="DeepSeek-R1-Distill-Llama-70B-IQ2_XS.gguf",
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local_dir="/tmp/gguf",
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resume_download=True,
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token=os.environ.get("HF_TOKEN", None)
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)
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modelfile = f"""FROM {gguf_path}
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TEMPLATE \"\"\"<|begin▁of▁sentence|>{{ .System }}
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{{ .Prompt }}<|end▁of▁sentence|>
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<|begin▁of▁sentence|>assistant
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\"\"\"
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PARAMETER stop "<|begin▁of▁sentence|>"
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PARAMETER stop "<|end▁of▁sentence|>"
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PARAMETER num_ctx 131072
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PARAMETER num_predict 8192
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"""
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(Path("/tmp") / "Modelfile").write_text(modelfile)
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subprocess.run(["ollama", "create", "deepseek-r1-70b", "-f", "/tmp/Modelfile"], check=True)
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Path(gguf_path).unlink()
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PYEOF
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# Kill temp health server, start OpenClaw
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kill $HEALTH_PID 2>/dev/null
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echo "[boot] Starting OpenClaw gateway..."
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openclaw gateway &
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OPENCLAW_PID=$!
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echo "[boot] Deployment complete. PID: $OPENCLAW_PID"
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wait $OPENCLAW_PID 2>/dev/null
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sleep infinity
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