docs(container): fix GPU_SERVER_URL for Xander — use public orch.circuitforge.tech
Xander's example-node.tv has no WireGuard route to Heimdall's LAN (10.1.10.x), so the <YOUR_HOST_IP>:7700 private address is unreachable from there. Use the public cf-orch endpoint instead: GPU_SERVER_URL=https://orch.circuitforge.tech Daniel's Huginn has WireGuard to Heimdall LAN — <YOUR_HOST_IP>:7700 stays correct. Added both options to docker-standalone.sh for clarity.
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2 changed files with 12 additions and 6 deletions
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@ -85,13 +85,17 @@ TZ="${TZ:-America/Los_Angeles}"
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# ── Multi-agent diagnose pipeline ────────────────────────────────────────────
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# ── Multi-agent diagnose pipeline ────────────────────────────────────────────
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# Enable the 5-stage ML pipeline to get smarter diagnose results.
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# Enable the 5-stage ML pipeline to get smarter diagnose results.
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# Requires WireGuard connectivity to Heimdall (<YOUR_HOST_IP>) for LLM synthesis.
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#
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#
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# For Daniel's instance (Huginn) — Heimdall's cf-orch via WireGuard:
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# If your host has WireGuard to Heimdall's LAN (e.g. Huginn):
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# export GPU_SERVER_URL=http://<YOUR_HOST_IP>:7700
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# export GPU_SERVER_URL=http://<YOUR_HOST_IP>:7700
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# export TURNSTONE_MULTI_AGENT_DIAGNOSE=true
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# export TURNSTONE_MULTI_AGENT_DIAGNOSE=true
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# bash ~/turnstone/docker-standalone.sh
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# bash ~/turnstone/docker-standalone.sh
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#
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#
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# If your host has no WireGuard to Heimdall (use public cf-orch endpoint):
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# export GPU_SERVER_URL=https://orch.circuitforge.tech
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# export TURNSTONE_MULTI_AGENT_DIAGNOSE=true
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# bash ~/turnstone/docker-standalone.sh
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#
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# ML models are downloaded on first diagnose run and cached in HF_CACHE_DIR.
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# ML models are downloaded on first diagnose run and cached in HF_CACHE_DIR.
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# First run takes a few minutes (downloading ~400MB of CPU-only models).
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# First run takes a few minutes (downloading ~400MB of CPU-only models).
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# Subsequent runs are instant (models served from hf-cache/).
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# Subsequent runs are instant (models served from hf-cache/).
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@ -91,15 +91,17 @@ TZ=America/Los_Angeles
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# ML models are downloaded on first diagnose run and cached in HF_CACHE_DIR.
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# ML models are downloaded on first diagnose run and cached in HF_CACHE_DIR.
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# On a CPU-only host (no GPU) set TURNSTONE_EMBED_DEVICE=cpu (default).
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# On a CPU-only host (no GPU) set TURNSTONE_EMBED_DEVICE=cpu (default).
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#
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#
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# For Xander's instance (example-node.tv) — Heimdall's cf-orch via WireGuard:
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# For Xander's instance (example-node.tv) — no WireGuard to Heimdall LAN,
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# export GPU_SERVER_URL=http://<YOUR_HOST_IP>:7700
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# use the public cf-orch endpoint instead:
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# export GPU_SERVER_URL=https://orch.circuitforge.tech
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# export TURNSTONE_MULTI_AGENT_DIAGNOSE=true
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# export TURNSTONE_MULTI_AGENT_DIAGNOSE=true
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# sudo bash /opt/turnstone/podman-standalone.sh
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# sudo bash /opt/turnstone/podman-standalone.sh
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#
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#
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# For Daniel's instance (Huginn) — same cf-orch via WireGuard:
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# For Daniel's instance (Huginn) — WireGuard reaches Heimdall LAN directly,
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# use docker-standalone.sh (not this script — Docker host):
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# export GPU_SERVER_URL=http://<YOUR_HOST_IP>:7700
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# export GPU_SERVER_URL=http://<YOUR_HOST_IP>:7700
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# export TURNSTONE_MULTI_AGENT_DIAGNOSE=true
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# export TURNSTONE_MULTI_AGENT_DIAGNOSE=true
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# bash /opt/turnstone/podman-standalone.sh (or rebuild Docker container)
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# bash ~/turnstone/docker-standalone.sh
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# ── Turnstone container ───────────────────────────────────────────────────────
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# ── Turnstone container ───────────────────────────────────────────────────────
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# Image is built locally — no registry auto-update label.
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# Image is built locally — no registry auto-update label.
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