#Cron job

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solemn idol
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Summarize top news every 10 minutes. Additionally, send QCOM stock price and volume analysis every day at 9 AM. running as a persistent, always-on agent.

I am running a Local LLM on a machine with custom target. Tell me whether running the gateway on another machine is efficient or running on same machine is efficient.

Consider the workspace privacy, data integrity, and security. Also give me a feasible architecture solution.

Should I need to use CRON jobs for both. Should I need to bind the trigger with heartbeat etc?

Give me ideal solution

edgy steepleBOT
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jagged skyBOT
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I’d use cron for both jobs, not heartbeat.

Ideal setup:

  • Gateway on a stable always-on machine that owns Discord/Telegram/etc., workspace, sessions, credentials, cron, and delivery.
  • Local LLM on the GPU/custom-target machine, exposed only over Tailscale/WireGuard/SSH tunnel/private LAN, never public internet.
  • Gateway calls the local model via models.providers.<id>.baseUrl; set a longer timeoutSeconds for slow local models. (docs.openclaw.ai)
  • Optional: run a node on the LLM/tool machine only if you need tools to execute there. Gateway stays the scheduler/control plane. (docs.openclaw.ai)

Same machine vs separate machine:

  • Same machine = most efficient latency-wise: localhost model calls, less network exposure, simpler.
  • Separate Gateway = better operational architecture if your GPU box restarts, overheats, sleeps, or is less trusted. The Gateway should be boring and reliable; the LLM box can be treated as compute.
  • My recommendation: separate if you have a stable small server/VPS/home box; same machine if the LLM box is the only always-on trusted host.

Cron vs heartbeat:

  • Use cron for:
    • “Top news every 10 minutes”
    • “QCOM analysis daily at 9 AM”
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  • Cron is exact, persistent, creates task records, and survives restarts. (docs.openclaw.ai)
  • Heartbeat is approximate/main-session awareness and should be for “notice anything important?” style checks, not precise reports. (docs.openclaw.ai)

Example shape:

openclaw cron add \
  --name "Top news digest" \
  --every 10m \
  --session isolated \
  --message "Summarize top news since the last run. Deduplicate heavily. Only report material changes. Include sources." \
  --announce \
  --channel discord \
  --to "channel:<discord-channel-id>"
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openclaw cron add \
  --name "QCOM daily price-volume analysis" \
  --cron "0 9 * * 1-5" \
  --tz "America/New_York" \
  --session isolated \
  --message "Get current QCOM price, volume, volume vs recent average, trend, notable news, and risks. Keep it concise. Not financial advice." \
  --announce \
  --channel discord \
  --to "channel:<discord-channel-id>"

For privacy/security:

  • Keep Gateway bind/auth private; token auth + private network is the sane default.
  • Don’t expose the local model API publicly.
  • Treat the workspace as private memory; it is the default cwd, not a hard sandbox unless sandboxing is enabled. (docs.openclaw.ai)
  • If multiple people can DM/use the bot, use DM isolation / pairing; OpenClaw is not meant as a hostile multi-tenant boundary. (docs.openclaw.ai)