#Truenas & Openclaw app

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glass cargo
#

I have truenas 25.0.2.6 and ollama v1.1.57 and openclaw v.1.0.0 all together. I have openclaw running on the truenas and am accessing on my home LAN from win10 system. I keep getting 'pairing required' but chatgp has not been able to fix it. can you help?

visual stumpBOT
#

To help others find answers, you can mark your question as solved via Right click solution message -> Apps -> ✅ Mark Solution

bright tundraBOT
#

That exact error (disconnected (1008): pairing required) is usually the Control UI (browser) device-pairing step — it happens when you open the dashboard from a different machine/browser (your Win10 box hitting the TrueNAS LAN IP).

Fix (approve the Win10 browser as a device)

  1. On your Win10 PC, keep the Control UI open so the “pairing required” error is showing.

  2. On the TrueNAS box (same place the Gateway is running), run:

openclaw devices list
  1. You should see a pending request with a requestId. Approve it:
openclaw devices approve <requestId>

If you only have one pending request, this often works too:

#
openclaw devices approve --latest
# or even just:
openclaw devices approve
  1. Reload the Control UI page on Win10 and reconnect.

Notes:

  • 127.0.0.1 connections are auto-approved; remote (LAN) connections require approval.
  • If you switch browsers, use incognito, or clear site data, it’ll look like a new device and you’ll need to approve again.
  • Pending requests can expire; if devices list shows nothing pending, refresh the Control UI once and re-run devices list.

Docs reference (this section is specifically about your error):
https://docs.openclaw.ai/web/control-ui#device-pairing-first-connection


#

Quick clarification (so I don’t send you down the wrong path)

Where are you seeing “pairing required”?

A) In the browser Control UI (the dashboard page) → steps above are the right fix.
B) In Discord/DMs when messaging the bot → that’s DM pairing, and the fix is:

openclaw pairing list discord
openclaw pairing approve discord <CODE>

Docs: https://docs.openclaw.ai/channels/pairing

If you paste:

  • the exact text of the disconnect line (or screenshot), and
  • the URL you’re opening (just host/port, no tokens),
    I can tell immediately whether it’s (A) or (B).
glass cargo
#

can I send you a screen shot? I am new to this discord server and dont know you abilities

bright tundraBOT
#

Yes—send a screenshot here in the thread.

Best is a screenshot that includes:

  • the page/app where you see “pairing required”
  • the browser address bar (hide any tokens/secrets if visible)
  • any small details like the gateway URL/port and the exact error line (often includes (1008))

I can’t control your system directly from Discord, but I can read the screenshot and tell you exactly what command/setting to use next.

glass cargo
bright tundraBOT
#

localhost is the first red flag: from your Win10 PC, http://localhost:30262/... points to your Win10 PC, not your TrueNAS box (unless you set up a port-forward/tunnel).

1) Try the TrueNAS IP instead of localhost

From Win10, open:

  • http://<TRUENAS_LAN_IP>:30262/ (or keep your /chat?session=main part if that’s what your app exposes)

Example:

  • http://192.168.1.50:30262/chat?session=main

If that loads and you still get “pairing required”, that’s expected for first-time remote browser access.

2) Approve the browser “device” on the TrueNAS side

While the Win10 page is showing “pairing required”, on the machine/container where the OpenClaw gateway is running, run:

openclaw devices list
#
openclaw devices approve --latest

(or approve the specific requestId shown by devices list)

After approving, reload the page on Win10.

Docs (this is exactly the “1008 pairing required” case):
https://docs.openclaw.ai/web/control-ui#device-pairing-first-connection

If you get stuck

Reply with:

  • the TrueNAS LAN IP you’re using (just 192.168.x.x is fine), and
  • the output of openclaw gateway status (you can redact/hide any token)

That’ll tell us whether 30262 is actually your gateway port, and whether you’re hitting the right endpoint.

glass cargo
bright tundraBOT
#

That’s a different blocker than “pairing required”.

You’re now hitting:

“control ui requires device identity (use HTTPS or localhost secure context)”

Meaning: when you open the Control UI over plain HTTP to a LAN IP, the browser treats it as a non‑secure context and blocks the crypto OpenClaw uses for “device identity”. So the UI refuses to connect.

You’ve got 3 practical options:

Option A (recommended): use HTTPS for the Control UI

If you can put the gateway behind HTTPS (Tailscale Serve, reverse proxy with TLS, etc.), do that. Then open https://... instead of http://....

Docs: https://docs.openclaw.ai/web/control-ui#insecure-http

Option B (easy + safe): SSH port-forward so the UI is “localhost” on Win10

If TrueNAS SSH is enabled, from Windows run (PowerShell):

#
ssh -L 30262:127.0.0.1:30262 root@192.168.0.130

Then in your browser open:

http://localhost:30262/chat?session=main

Because the browser origin is localhost, WebCrypto works and device identity can complete.

Option C (break-glass): disable device auth for the Control UI (security downgrade)

There is a config toggle gateway.controlUi.dangerouslyDisableDeviceAuth: true but it’s intentionally labeled dangerous. Only do this if you understand the risk and you keep a gateway token/password in place.

Docs (same section): https://docs.openclaw.ai/web/control-ui#insecure-http


#

After you fix the secure-context issue

You may get “pairing required (1008)” again on first connect. Then you approve it on the TrueNAS side:

openclaw devices list
openclaw devices approve --latest

If you tell me whether you have SSH enabled on TrueNAS, I’ll steer you to the simplest of the three. Also: can you run openclaw --version on the TrueNAS shell just to confirm what build you’re on?

glass cargo
#

Windows PowerShell
Copyright (C) Microsoft Corporation. All rights reserved.

Try the new cross-platform PowerShell https://aka.ms/pscore6

PS C:\Users\s_t_w> ssh -L 30262:127.0.0.1:30262 root@192.168.0.130
ssh: connect to host 192.168.0.130 port 22: Connection refused
PS C:\Users\s_t_w>

#

for additional info, this is the permission container log > 2026-02-28 05:34:34.886361+00:00🚀 Starting permissions configuration...
2026-02-28 05:34:34.886415+00:00-------------------------- config --------------------------
2026-02-28 05:34:34.886430+00:00📊 Original: 👤 [0:0] 🔐 [0755]
2026-02-28 05:34:34.886439+00:00👤 Ownership: [0:0] -> [568:568] [will change]
2026-02-28 05:34:34.886448+00:00🔐 Permissions: [0755] [no change]
2026-02-28 05:34:34.886463+00:00⚙️ Mode: Check. Only applies changes if they are incorrect
2026-02-28 05:34:34.886472+00:00📊 Final: 👤 [568:568] 🔐 [0755]
2026-02-28 05:34:34.886481+00:00⏱️ Time taken: 0.17ms
2026-02-28 05:34:34.886489+00:00============================================================
2026-02-28 05:34:34.886504+00:002026-02-28T05:34:34.886504456Z
2026-02-28 05:34:34.886515+00:002026-02-28T05:34:34.886515226Z
2026-02-28 05:34:34.886523+00:00⏱️ Total time taken: 0.28ms
2026-02-28 05:34:34.886532+00:00🎉 All permissions configured successfully!

bright tundraBOT
#

Port 22 “Connection refused” means SSH isn’t running on the TrueNAS host (or it’s blocked). Your plan (SSH port-forward → open http://localhost:...) is still the easiest fix for the “device identity” error, but we need SSH working first.

Why you’re blocked right now

When you open the Control UI over plain HTTP to a LAN IP (http://192.168...), the browser treats it as not a secure context, so OpenClaw can’t use WebCrypto for “device identity”, and it hard-stops with:

control ui requires device identity (use HTTPS or localhost secure context)

Docs: https://docs.openclaw.ai/web/control-ui#insecure-http

Fix path A (recommended): enable SSH on TrueNAS, then port-forward

  1. In the TrueNAS web UI:
  • System Settings → Services → SSH
  • Toggle it ON / Start
  • If there’s a config button: ensure your user can log in (password auth or SSH key). Root SSH may be disabled by default; use your admin user if possible.
  1. From Windows, verify port 22 is open:
#
Test-NetConnection 192.168.0.130 -Port 22
  1. Then run the port forward (keep this window open):
ssh -L 30262:127.0.0.1:30262 <YOUR_TRUENAS_USER>@192.168.0.130
  1. Now open in your browser:
  • http://localhost:30262/chat?session=main

Because it’s localhost, the browser allows the crypto features and the Control UI can complete device identity.

  1. After that you may see “pairing required (1008)” again (that’s normal). Approve it on the TrueNAS side:
#
openclaw devices list
openclaw devices approve --latest

Fix path B: HTTPS (also good, more setup)

Put the Control UI behind HTTPS (Tailscale Serve or a reverse proxy with TLS), then open https://....

Fix path C (break-glass, not recommended): disable device auth

There’s a config flag gateway.controlUi.dangerouslyDisableDeviceAuth: true but it’s a real security downgrade. I’d only do it temporarily on a trusted LAN, with a gateway token/password set.


If you tell me which TrueNAS edition you’re on (SCALE “Apps” / CORE / etc.) and whether you can access the built-in Shell in the web UI, I can give you the exact clicks for enabling SSH (and which username to use).

glass cargo
#

Windows PowerShell
Copyright (C) Microsoft Corporation. All rights reserved.

Try the new cross-platform PowerShell https://aka.ms/pscore6

PS C:\Users\s_t_w> ssh -L 30262:127.0.0.1:30262 root@192.168.0.130
ssh: connect to host 192.168.0.130 port 22: Connection refused
PS C:\Users\s_t_w>
for additional info, this is the permission container log > 2026-02-28 05:34:34.886361+00:00🚀 Starting permissions configuration...
2026-02-28 05:34:34.886415+00:00-------------------------- config --------------------------
2026-02-28 05:34:34.886430+00:00📊 Original: 👤 [0:0] 🔐 [0755]
2026-02-28 05:34:34.886439+00:00👤 Ownership: [0:0] -> [568:568] [will change]
2026-02-28 05:34:34.886448+00:00🔐 Permissions: [0755] [no change]
2026-02-28 05:34:34.886463+00:00⚙️ Mode: Check. Only applies changes if they are incorrect
2026-02-28 05:34:34.886472+00:00📊 Final: 👤 [568:568] 🔐 [0755]
2026-02-28 05:34:34.886481+00:00⏱️ Time taken: 0.17ms
2026-02-28 05:34:34.886489+00:00============================================================
2026-02-28 05:34:34.886504+00:002026-02-28T05:34:34.886504456Z
2026-02-28 05:34:34.886515+00:002026-02-28T05:34:34.886515226Z
2026-02-28 05:34:34.886523+00:00⏱️ Total time taken: 0.28ms
2026-02-28 05:34:34.886532+00:00🎉 All permissions configured successfully!

bright tundraBOT
#

That permissions log looks fine (it’s just the TrueNAS app doing a quick chown/chmod at startup). It’s not related to the error you’re seeing.

The important part is this message:

“control ui requires device identity (use HTTPS or localhost secure context)”

That happens because you’re opening the Control UI over plain HTTP to a LAN IP (http://192.168.0.130:30262/...). Browsers block the crypto APIs OpenClaw uses for “device identity” unless the page is in a secure context (HTTPS or localhost).

Easiest workaround (no SSH, no TLS): use a *.localhost hostname

Most browsers treat anything ending in .localhost as a secure context.

  1. On Windows, edit your hosts file as Administrator:
    C:\Windows\System32\drivers\etc\hosts

  2. Add this line:

#
192.168.0.130  truenas.localhost
  1. Open:
http://truenas.localhost:30262/chat?session=main

If that works, the “device identity required” error should go away.


If you then hit “pairing required (1008)”

That’s the next step: you must approve this browser/device once.

On the TrueNAS side (best: Apps → your OpenClaw app → Shell), run:

#
openclaw devices list
openclaw devices approve --latest

Reload the page.

Docs for both behaviors:


If the .localhost trick doesn’t work for your browser

Then you’ll need either:

  • HTTPS in front of it (reverse proxy / Tailscale Serve), or
  • SSH port-forwarding (but your TrueNAS currently has SSH off, that’s why port 22 is “connection refused”).
#

If you tell me whether you’re using Chrome/Edge/Firefox, I can confirm which of these paths is most likely to succeed for you.

#

That permissions-container log is normal and looks healthy — it’s just doing a quick ownership check/fix. It won’t cause the “pairing required” / “device identity required” errors.

Right now your real blocker is:

control ui requires device identity (use HTTPS or localhost secure context)

That happens because you’re opening the Control UI over plain HTTP to a LAN IP (http://192.168.0.130:30262/...). Browsers won’t allow the crypto features OpenClaw uses for “device identity” unless the page is a secure context (HTTPS or localhost).

Fastest fix (no SSH required): use a .localhost hostname

Most browsers treat *.localhost as a secure context.

  1. On Windows, open Notepad as Administrator
  2. Edit:
    C:\Windows\System32\drivers\etc\hosts

Add:

#
192.168.0.130  truenas.localhost
  1. Now open this (note: still http):
http://truenas.localhost:30262/chat?session=main

That should get you past the “device identity required” message.

Then you may still need to approve “pairing required (1008)”

Once the UI is in a secure context, first-time remote browser connects often require a one-time approval:

Run this where OpenClaw is running (inside the app/container if you installed it as a TrueNAS App):

#
openclaw devices list
openclaw devices approve --latest

Reload the page.

About SSH

Your port-forward failed because SSH on TrueNAS isn’t listening (port 22: Connection refused). If you prefer the SSH tunnel approach, you’ll need to enable the SSH service in TrueNAS first.


Two quick questions so I can point you to the exact place to run openclaw devices ...:

  1. Are you on TrueNAS SCALE (Apps) or CORE?
  2. Is OpenClaw running as a TrueNAS App/container, or installed directly on the host?
glass cargo
bright tundraBOT
#

You’re past the secure-context / device identity blocker now — nice. The new error:

unauthorized: gateway token missing

means your Gateway is running with token auth enabled, but the Control UI hasn’t been given the token yet.

1) Get the gateway token (on the TrueNAS side)

Open a shell where OpenClaw is running (TrueNAS SCALE Apps usually has: Apps → openclaw → Shell), then run:

openclaw config get gateway.auth.mode
openclaw config get gateway.auth.token

That gateway.auth.token value is what you need. Don’t paste it into Discord (it’s basically the admin password to your gateway).

(Alternative: openclaw gateway status often prints a dashboard URL that includes #token=....)

#

2) Paste token into the Control UI

Go to the Control UI root (not just /chat), e.g.:

  • http://truenas.localhost:30262/

Open the Control UI settings / “Gateway Access” area and paste the token into the Gateway Token field, then Connect.

3) If you then see “pairing required (1008)”

That’s the next, normal one-time approval:

openclaw devices list
openclaw devices approve --latest

Reload the browser page.

#

If you tell me whether you’re running this as a TrueNAS SCALE App (container) and whether you can access the App Shell, I can give the exact click path to where the token shows up in your setup.

glass cargo
#

Truenas > System Information
Platform:
Generic
Edition:
Community
Version:
25.04.2.6
Hostname:
truenas
Uptime:
8 hours 17 minutes as of 22:06

bright tundraBOT
#

Yep — that “25.04.2.6 Community” is TrueNAS SCALE 25.04 (the one with Apps).

Next step is just: grab your Gateway token from inside the OpenClaw app container and paste it into the Control UI settings (don’t post it here).

Get the gateway token (TrueNAS SCALE Apps)

  1. TrueNAS Web UI → Apps
  2. Installed Applications
  3. Click your openclaw app
  4. Open Shell (or “Exec Shell”)

Then run:

openclaw --version
openclaw gateway status
openclaw config get gateway.auth.mode
#
openclaw config get gateway.auth.token
  • If gateway.auth.mode is token, then gateway.auth.token is what you paste into the Control UI.

Paste it into the Control UI

Open the dashboard root (not just /chat), e.g.

  • http://truenas.localhost:30262/

Then in Control → Overview → Gateway Access, paste the token into Gateway Token and click Connect.

If it flips back to “pairing required (1008)”

Approve the browser/device once:

#
openclaw devices list
openclaw devices approve --latest

Reload.


If you don’t see an Apps → Shell button for the openclaw app, tell me what you do see (buttons/menu names) and I’ll map it to the right place.

glass cargo
#

$ openclaw --version
openclaw gateway status
openclaw config get gateway.auth.mode/bin/sh: 1: openclaw: Permission denied
$ /bin/sh: 2: openclaw: Permission denied
$
/bin/sh: 3: openclaw: Permission denied
$ openclaw --version
openclaw gateway status
openclaw config get gateway.auth.mode/bin/sh: 4: openclaw: Permission denied
$ /bin/sh: 5: openclaw: Permission denied
$

bright tundraBOT
#

Perfect — .localhost got you into a “secure context”, so the device identity error is gone. Now you’re hitting the next gate:

unauthorized: gateway token missing

That simply means your Gateway is configured with token auth, and the Control UI doesn’t know the token yet.

Don’t paste the token into Discord

It’s basically admin access to your gateway.

Step 1: Open the dashboard root (so you can enter the token)

Open (in your browser):

  • http://truenas.localhost:30262/ (not just /chat?...)

In the Control UI, go to the settings / “Gateway Access” area and paste the token in Gateway Token, then connect.

Step 2: Find the gateway token (2 good ways on TrueNAS SCALE)

#

Option A (usually easiest): look in the OpenClaw app logs

In TrueNAS:

  • Apps → openclaw → Logs
  • Make sure you’re viewing the main/gateway container logs (not the “permissions” container)

Search in the logs for token or #token=. Often it prints a dashboard URL like:

  • http://.../#token=...

(Again: don’t paste it here — just copy it into your browser/settings.)

Option B: read the config file directly (since openclaw CLI won’t run)

Your shell showing openclaw: Permission denied strongly suggests you’re either:

  • in the wrong container (e.g. the permissions/init container), or
  • the openclaw binary isn’t executable in that environment.

But you can still usually read the config. In the app shell, run:

#
id
echo $HOME
ls -la $HOME/.openclaw 2>/dev/null || true
ls -la /config 2>/dev/null || true
ls -la /config/.openclaw 2>/dev/null || true

If you find openclaw.json, dump just the gateway auth section:

sed -n '1,200p' /config/.openclaw/openclaw.json 2>/dev/null || true
sed -n '1,200p' $HOME/.openclaw/openclaw.json 2>/dev/null || true

Look for something like:

  • gateway.auth.mode
#
  • gateway.auth.token

Step 3 (after token): you may still see “pairing required (1008)”

That’s normal for first-time browser/device. Then you approve it once:

openclaw devices list
openclaw devices approve --latest

…but we’ll only do that after the token is accepted.


If you tell me what containers you can choose in the TrueNAS Logs/Shell dropdown for the openclaw app (names like gateway, app, permissions, etc.), I can point you to the exact one that will have the token in logs/config.

glass cargo
bright tundraBOT
#

Yep — that redirect is normal. In the current Control UI build the “home” route often jumps straight to /chat?session=main.

Now you’re at the next gate:

unauthorized: gateway token missing

Meaning: your Gateway requires a token, and the browser UI hasn’t been given it yet.

1) Enter the token in the Control UI (don’t post it here)

On the /chat page, look for Control UI settings / Gateway Access (often a gear icon or a “Control/Overview” section). There are usually two auth boxes side-by-side (Gateway Token and Password). Paste the Gateway Token and hit Connect.

If you can’t find the settings UI, once you have the token you can usually open:

  • http://truenas.localhost:30262/#token=PASTE_TOKEN_HERE
    (the #token=... gets picked up by the UI and stored)

2) Get the gateway token from TrueNAS (safe ways)

Since openclaw in your App shell is currently Permission denied (likely you’re in the wrong container, e.g. the permissions container), use one of these:

#

Option A: App logs (most common)

TrueNAS → Apps → openclaw → Logs
Pick the main/gateway container logs (not the permissions log) and search for something like:

  • a dashboard URL containing #token=..., or
  • a line mentioning gateway.auth.token

Option B: Open the config file inside the main container

In Apps → openclaw → Shell, make sure you select the gateway/main container (there’s usually a dropdown).

Then try:

ls -la /config/.openclaw/openclaw.json 2>/dev/null
ls -la $HOME/.openclaw/openclaw.json 2>/dev/null

If one exists, open it and look for gateway.auth.token:

#
sed -n '1,200p' /config/.openclaw/openclaw.json 2>/dev/null
sed -n '1,200p' $HOME/.openclaw/openclaw.json 2>/dev/null

Again: do not paste the token into Discord — just paste it into the UI.

3) After token: you may still hit “pairing required (1008)”

That’s normal for first-time browser/device. Then you approve it:

openclaw devices list
openclaw devices approve --latest

If you reply with a screenshot of the TrueNAS Apps → openclaw page showing what containers exist (names in the Shell/Logs dropdown), I can tell you exactly which one to open to find the token.

glass cargo
#

I found the gateway access in the control > Overview tabs

bright tundraBOT
#

Nice — that’s the right spot.

Next step is: paste your Gateway token into “Gateway Access → Gateway Token” and click Connect. (Don’t paste the token into Discord.)

Where to get the token on TrueNAS SCALE (Apps)

Since your app shell was giving openclaw: Permission denied, you were almost certainly in the permissions/init container, not the real gateway container.

  1. TrueNAS → Apps → openclaw → Logs
  2. In the container dropdown, pick the gateway/main container (not “permissions”)
  3. Look for a line that includes a dashboard URL with #token=... or mentions gateway.auth.token.

Copy that token and paste it into Gateway Access in the browser.

If it connects, but then shows “pairing required (1008)”

Approve the device once from the gateway container shell:

  • TrueNAS → Apps → openclaw → Shell
#
  • Select the gateway/main container in the dropdown
  • Run:
openclaw devices approve --latest

If you tell me what container names you see in the Shell/Logs dropdown (just the names), I can tell you exactly which one to use.

glass cargo
#

I have the correct password, obtained from the Apps > edit. I put it into the Gateway token. When I click connect, the latest gateway handshale snapshot shows > Snapshot
Latest gateway handshake information.
Status
Offline
Uptime
n/a
Tick Interval
n/a
Last Channels Refresh
n/a
pairing required
This device needs pairing approval from the gateway host.
openclaw devices list
openclaw devices approve <requestId>
On mobile? Copy the full URL (including #token=...) from openclaw dashboard --no-open on your desktop.

bright tundraBOT
#

Two separate things are getting mixed up here:

  1. Gateway Token vs Gateway Password
  • The value you found in Apps → Edit is almost certainly the Gateway password.
  • In Control UI → Gateway Access, paste it into the Password field (not the Token field).
  • Only use the Gateway Token field if you actually have a token (often a long random hex string).
  1. “pairing required” is normal on first remote browser
    Even after auth is correct, the first time a new browser/device connects you must approve it once on the gateway host.

Do this now (TrueNAS SCALE)

  1. In your Win10 browser: go to Control UI → Control → Overview → Gateway Access

    • Put the value from Apps→Edit into Password
    • Click Connect
  2. Immediately after that, on TrueNAS:

    • Apps → openclaw → Shell
#
  • IMPORTANT: select the main/gateway container in the dropdown (not the permissions container — that one is where you saw openclaw: Permission denied)
    • Run:
    openclaw devices list
    openclaw devices approve --latest
    
  1. Reload the browser tab.

Notes:

  • Pending pairing requests can expire quickly; if devices list shows nothing pending, reload the Control UI page (so it re-requests pairing) and run devices list again.

If you tell me the container names you see in the Shell dropdown (just the names), I can tell you exactly which one is the right “main/gateway” container to run the openclaw devices ... commands in.

glass cargo
#

what should go in the Gateway token field?

bright tundraBOT
#

The Gateway token field is only used if your Gateway is configured for token auth (gateway.auth.mode: "token").

  • If you only have a password from Apps → openclaw → Edit: put that in the Password field, and leave Gateway Token blank.
  • A Gateway token is a different secret (usually a long random hex string) stored as gateway.auth.token.

How to tell which one you need:

  • If your config says gateway.auth.mode = "password" → use Password (token empty)
  • If it says gateway.auth.mode = "token" → use Gateway Token (password empty)

On a normal OpenClaw install you can view it with:

openclaw config get gateway.auth.mode
openclaw config get gateway.auth.token

(Just don’t paste the token into Discord.)

#

After you authenticate (token or password), it’s still normal to see “pairing required” once — then you approve the browser device from the gateway host:

openclaw devices list
openclaw devices approve --latest
glass cargo
#

the snapshot updated to > unauthorized: gateway token missing (open the dashboard URL and paste the token in Control UI settings)
This gateway requires auth. Add a token or password, then click Connect.
openclaw dashboard --no-open → tokenized URL
openclaw doctor --generate-gateway-token → set token

bright tundraBOT
#

That “unauthorized: gateway token missing” message is basically: “this gateway needs auth, and the UI didn’t send the right kind of credential”.

A few key points:

1) Token vs Password (they are different)

  • Gateway Password = goes in the Password box.
  • Gateway Token = a separate secret (gateway.auth.token, often a long random hex string) that goes in the Gateway Token box.

If your gateway is configured for token auth, entering the password (even the correct one) won’t work — it will keep complaining about a missing token.

2) Confirm what auth mode your gateway is using (inside the TrueNAS app)

In TrueNAS SCALE:
Apps → openclaw → Shell, and make sure you pick the main/gateway container (not the “permissions” one).

Then try to locate the config file and check the auth mode:

#
ls -la /config/.openclaw/openclaw.json 2>/dev/null
ls -la $HOME/.openclaw/openclaw.json 2>/dev/null

Then open whichever exists and look for gateway.auth:

sed -n '1,200p' /config/.openclaw/openclaw.json 2>/dev/null
sed -n '1,200p' $HOME/.openclaw/openclaw.json 2>/dev/null

You’re looking for something like:

  • "mode": "token" (=> you need the token), or
  • "mode": "password" (=> you need the password).

3) How to get the token (common on TrueNAS)

#

Often the easiest place is the app logs:

Apps → openclaw → Logs → select the main/gateway container → search for a URL containing #token=....

Copy that token into Control UI → Gateway Access → Gateway Token.

Don’t paste the token into Discord (it’s basically admin access).

4) After auth succeeds you may still see “pairing required”

That’s normal for first-time browser/device. Then approve it (from the main container shell):

openclaw devices approve --latest

#

If you tell me the container names you see in the TrueNAS “Shell” dropdown (just the names), I can tell you exactly which one is the “main/gateway” container where the config/logs/token will be.

glass cargo
#

contianer log > 2026-02-28 05:34:57.269135+00:002026-02-28T05:34:57.268Z [canvas] host mounted at http://0.0.0.0:30262/__openclaw__/canvas/ (root /home/node/.openclaw/.openclaw/canvas)
2026-02-28 05:34:57.315229+00:002026-02-28T05:34:57.315Z [heartbeat] started
2026-02-28 05:34:57.316346+00:002026-02-28T05:34:57.316Z [health-monitor] started (interval: 300s, grace: 60s)
2026-02-28 05:34:57.318042+00:002026-02-28T05:34:57.317Z [gateway] agent model: anthropic/claude-opus-4-6
2026-02-28 05:34:57.318591+00:002026-02-28T05:34:57.318Z [gateway] listening on ws://0.0.0.0:30262 (PID 15)
2026-02-28 05:34:57.319361+00:002026-02-28T05:34:57.319Z [gateway] log file: /tmp/openclaw/openclaw-2026-02-28.log
2026-02-28 05:34:57.330319+00:002026-02-28T05:34:57.330Z [browser/service] Browser control service ready (profiles=2)
2026-02-28 05:34:57.442896+00:002026-02-28T05:34:57.442Z [gateway] update available (latest): v2026.2.26 (current v2026.2.22-2). Run: openclaw update

bright tundraBOT
#

That message is telling you your Gateway is in token auth mode, so the Gateway Token field must contain the gateway’s auth token (gateway.auth.token) — not your TrueNAS app “password”.

  • Gateway Token field: the long random token (often hex).
  • Password field: only used if your gateway auth mode is password.

Right now, since it explicitly says “gateway token missing”, the password won’t work — you need the token.

How to find the token on TrueNAS SCALE (Apps)

  1. Apps → openclaw → Logs
  2. Make sure you’re looking at the main/gateway container logs (not the permissions container).
  3. Search/scroll for a dashboard URL containing #token=... (or any line mentioning gateway.auth.token).

If you can open a shell in the main/gateway container, this command prints a tokenized URL:

openclaw dashboard --no-open

(then copy the #token=... part into Control UI → Gateway Token)

#

Docs reference for this exact flow: https://docs.openclaw.ai/help/faq#how-do-i-authenticate-the-dashboard-token-on-localhost-vs-remote

After you paste the token

You may still see “pairing required” once (that’s normal). Then approve the device from the gateway host/container:

openclaw devices approve --latest

If you tell me the container names you see in the TrueNAS Shell/Logs dropdown (just the names), I can tell you exactly which one to use to run openclaw dashboard --no-open and openclaw devices ....

glass cargo
#

it is also reachnig out to antropic/claude..... I want it to use a locally hoste ollama app

bright tundraBOT
#

If it’s “reaching out to anthropic/claude…”, that just means your default model is currently set to an Anthropic model (your gateway log even shows that):

[gateway] agent model: anthropic/claude-opus-4-6

To make it use your local Ollama instead, you need to change the default model to an ollama/... model (and remove Anthropic fallbacks).

Step 0 (important): don’t fight the token/pairing messages yet

Right now your Control UI can’t fully connect because it’s missing the gateway token and then needs device pairing approval. You’ll need UI access to edit config comfortably.

Once you do have the token in Control → Overview → Gateway Access, the flow is:

  1. Paste Gateway Token → Connect
  2. If it says pairing required → approve once on the TrueNAS host:
    • openclaw devices list
    • openclaw devices approve --latest

(But don’t paste tokens into Discord.)

#

Step 1: ensure OpenClaw can reach Ollama from inside the container

Ollama must be reachable from the OpenClaw app container. The URL must be the native Ollama API base (NO /v1).

Docs warning: https://docs.openclaw.ai/providers/ollama (don’t use ...:11434/v1)

If you can open a shell in the gateway/main container, test:

curl http://<OLLAMA_HOST>:11434/api/tags

On TrueNAS Apps, <OLLAMA_HOST> might be:

  • the Ollama app’s internal service name, or
  • the TrueNAS host IP (sometimes works), depending on how you deployed Ollama.

Step 2: configure OpenClaw to use Ollama as the default model

Once you’re connected in the Control UI, go to the Config tab (or raw JSON editor) and set:

#
  • enable the Ollama provider (explicit), and
  • set your agent default model to ollama/<whatever you have installed>

Minimal example (edit <OLLAMA_HOST> and <MODEL_ID>):

{
  models: {
    providers: {
      ollama: {
        baseUrl: "http://<OLLAMA_HOST>:11434", // NOTE: no /v1
        api: "ollama",
        apiKey: "ollama-local" // can be any string; Ollama doesn’t require a real key
      }
    }
  },
#
  agents: {
    defaults: {
      model: {
        primary: "ollama/<MODEL_ID>",
        fallbacks: []
      }
    }
  }
}

To find <MODEL_ID>, use ollama list (it’s the name in the first column).

Step 3: remove Anthropic usage

As long as agents.defaults.model.primary is an ollama/... model and you have no Anthropic fallbacks, OpenClaw won’t call Anthropic for normal chats.

#

If you tell me how you installed Ollama on TrueNAS (also as an App? or running directly on the host?), I can tell you the most likely correct <OLLAMA_HOST> to use from inside the OpenClaw container.

glass cargo
bright tundraBOT
#

Cool — if your Ollama is reachable at http://192.168.0.130:30068, then OpenClaw can use it, but there are two gotchas:

  1. OpenClaw must be pointed at the native Ollama API (/api/chat), not the OpenAI-compat /v1 path.
  2. Your default model must be set to an ollama/... model (and no Anthropic fallbacks), otherwise it’ll keep trying Claude.

A) First confirm that URL is the native Ollama API

From inside the openclaw gateway container shell (not the permissions container), run:

curl -s http://192.168.0.130:30068/api/tags | head
  • If that returns JSON (model list), great: use baseUrl: "http://192.168.0.130:30068".
  • If /api/tags 404s but /v1/models works, then you’re currently exposing only the OpenAI-compat endpoint — and tool calling gets flaky. (Docs warning: https://docs.openclaw.ai/providers/ollama)

B) Configure OpenClaw to use Ollama (stop Anthropic)

Once you’re connected to Control UI (token + pairing), set config like:

#
{
  models: {
    providers: {
      ollama: {
        baseUrl: "http://192.168.0.130:30068", // NO /v1
        api: "ollama",
        apiKey: "ollama-local" // any string is fine
      }
    }
  },
  agents: {
    defaults: {
      model: {
        primary: "ollama/<YOUR_MODEL_ID>",
        fallbacks: []
#
      }
    }
  }
}

<YOUR_MODEL_ID> is exactly what ollama list shows (example: llama3.3, qwen2.5-coder:32b, etc). Then restart/reload if needed.

Docs: https://docs.openclaw.ai/providers/ollama

C) If you still see it calling Anthropic

That usually means OpenClaw can’t reach Ollama and is failing over. So check OpenClaw logs for an Ollama connection error, and double-check the curl /api/tags test from inside the OpenClaw container.

D) Quick note on your Control UI auth (token)

You’re still blocked earlier by “gateway token missing” + pairing required. Don’t paste secrets here, but in the gateway container you can usually find what auth you’re using with:

#
printenv | grep -i OPENCLAW_GATEWAY

If you reply with what curl http://192.168.0.130:30068/api/tags does (works vs 404), I’ll tell you the exact correct Ollama baseUrl/api combo for your setup.

glass cargo
bright tundraBOT
#

18789 in the docs is just the default OpenClaw gateway port. In an SSH tunnel command, that first port is the local port on your Windows PC (you can pick almost any unused port).

In your TrueNAS app logs you showed:

  • [gateway] listening on ws://0.0.0.0:30262

So your OpenClaw port is 30262 (not 18789).

What “user@host” means

  • host = the machine you SSH into → your TrueNAS IP: 192.168.0.130
  • user = a TrueNAS username that is allowed to SSH in (often not root by default)

Example (replace myuser with your TrueNAS SSH-enabled user):

ssh -N -L 18789:127.0.0.1:30262 myuser@192.168.0.130
#

Then in your Windows browser open:

  • http://127.0.0.1:18789/

That will securely forward your local port 18789 → TrueNAS 127.0.0.1:30262 (your OpenClaw app).

One important catch (in your case)

Earlier you got Connection refused on port 22, so SSH isn’t enabled/listening yet on TrueNAS.

On TrueNAS SCALE:

  • System Settings → Services → SSH → Start
  • ensure your chosen user is allowed to SSH (password login or SSH key)

You can verify from Windows:

Test-NetConnection 192.168.0.130 -Port 22
#

Once SSH works, the tunnel command above should work.

(After you can reach the UI through the tunnel, you’ll still need the gateway token if your gateway auth mode is token — but the tunnel fixes the “not secure context / device identity” part cleanly.)

glass cargo
#

PS C:\Users\s_t_w> ssh -N -L 18789:127.0.0.1:30262 truenas_admin@192.168.0.130
ssh: connect to host 192.168.0.130 port 22: Connection refused
PS C:\Users\s_t_w>

bright tundraBOT
#

That’s definitive: SSH is not running / not reachable on the TrueNAS box. Until port 22 is listening, the SSH tunnel method can’t work.

1) Enable SSH on TrueNAS SCALE

In the TrueNAS web UI:

System Settings → Services → SSH

  • Toggle SSH = ON / Start
  • (Optional but common) click the pencil/configure icon and ensure:
    • “Allow Password Authentication” is enabled if you’re using a password
    • root login is usually disabled; your truenas_admin user is fine

Then try from Windows:

Test-NetConnection 192.168.0.130 -Port 22
#

You want TcpTestSucceeded : True.

If it still fails, it’s either:

  • a firewall rule, or
  • SSH is bound to a different interface, or
  • TrueNAS UI says SSH is running but it isn’t (rare).

2) Once port 22 is open, your tunnel command is correct

Keep it exactly like this:

ssh -N -L 18789:127.0.0.1:30262 truenas_admin@192.168.0.130

Then browse to:

  • http://127.0.0.1:18789/
#

3) Token + pairing will still apply

The tunnel fixes the “secure context / device identity” issues cleanly, but you’ll still need:

  • the gateway token (if your gateway auth mode is token), and
  • a one-time device pairing approval (openclaw devices approve --latest) on first connect.

If you want, paste a screenshot of System Settings → Services showing SSH “Running” (no secrets), and I’ll tell you what to check next if port 22 still refuses.

glass cargo
#

PS C:\Users\s_t_w> ssh -N -L 18789:127.0.0.1:30262 truenas_admin@192.168.0.130
The authenticity of host '192.168.0.130 (192.168.0.130)' can't be established.
ED25519 key fingerprint is SHA256: <redacted> This key is not known by any other names.
Are you sure you want to continue connecting (yes/no/[fingerprint])? yes
Warning: Permanently added '192.168.0.130' (ED25519) to the list of known hosts.
truenas_admin@192.168.0.130: Permission denied (publickey).
PS C:\Users\s_t_w> Test-NetConnection 192.168.0.130 -Port 22

ComputerName : 192.168.0.130
RemoteAddress : 192.168.0.130
RemotePort : 22
InterfaceAlias : Ethernet
SourceAddress : 192.168.0.85
TcpTestSucceeded : True

PS C:\Users\s_t_w>

bright tundraBOT
#

Good — SSH is reachable now (TcpTestSucceeded : True). The new error:

Permission denied (publickey).

means the TrueNAS SSH server is currently set up to only accept SSH keys (no password login), and your Windows machine doesn’t have an approved key for truenas_admin yet.

Option A (recommended): add an SSH key for truenas_admin

On your Win10 box (PowerShell):

  1. Generate a key:
ssh-keygen -t ed25519 -C "win10-openclaw"

Just press Enter for defaults (it will create C:\Users\<you>\.ssh\id_ed25519).

  1. Show the public key:
#
type $env:USERPROFILE\.ssh\id_ed25519.pub
  1. In TrueNAS UI:
  • Credentials → Local Users → truenas_admin → Edit
  • Paste that public key into SSH Public Key
  • Save
  1. Try the tunnel again:
ssh -N -L 18789:127.0.0.1:30262 truenas_admin@192.168.0.130

Then open in your browser:

  • http://127.0.0.1:18789/
#

Option B: allow password auth on TrueNAS SSH

If you prefer passwords, enable it in:

  • System Settings → Services → SSH → (edit/configure) → enable password auth

Then (sometimes helps force password):

ssh -o PreferredAuthentications=password -o PubkeyAuthentication=no -N -L 18789:127.0.0.1:30262 truenas_admin@192.168.0.130

After the tunnel works

Because you’re browsing 127.0.0.1, you should no longer hit the “device identity” problem, and pairing is often auto-approved. You may still get asked for the Gateway token (separate from any TrueNAS “app password”). If it asks, fetch it on TrueNAS from the OpenClaw container via:

  • openclaw dashboard --no-open (prints a URL with #token=...), or
  • openclaw config get gateway.auth.token

(Do not paste that token into Discord.)

Once you’re connected, we can switch your default model over to Ollama so it stops calling Anthropic.

glass cargo
#

I put the key into the user credentials in the area authentication keys, saved and then tried powershell again to get > PS C:\Users\s_t_w> ssh -N -L 18789:127.0.0.1:30262 truenas_admin@192.168.0.130
truenas_admin@192.168.0.130: Permission denied (publickey).
PS C:\Users\s_t_w>

bright tundraBOT
#

Permission denied (publickey) after you pasted the key means TrueNAS still isn’t seeing/accepting the key for that user, or your Windows SSH client isn’t offering the right key.

Do these in order (no secrets need to be posted):

1) Make sure the key went into the SSH Public Key field for that user

In TrueNAS SCALE it must be:
Credentials → Local Users → truenas_admin → Edit → “SSH Public Key”

Not “authentication keys” / not app credentials / not API keys.

The value must look like one single line starting with:

ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAI... comment

2) On Windows, force SSH to use that key file

Sometimes Windows has multiple keys and doesn’t offer the one you just made.

#

Run:

ssh -vvv -i $env:USERPROFILE\.ssh\id_ed25519 truenas_admin@192.168.0.130

What you should see in the debug output is a line like:

  • Offering public key: ... id_ed25519

If it doesn’t offer it, it’s not finding/using that key.

Also confirm the files exist:

dir $env:USERPROFILE\.ssh\id_ed25519*
#

3) If you want the tunnel after login works

Once the plain SSH login works, the tunnel command becomes:

ssh -N -i $env:USERPROFILE\.ssh\id_ed25519 -L 18789:127.0.0.1:30262 truenas_admin@192.168.0.130

Then open: http://127.0.0.1:18789/

4) If you just want it working fast: temporarily enable password SSH

TrueNAS: System Settings → Services → SSH → Edit → Password Authentication = ON
Then:

ssh -N -L 18789:127.0.0.1:30262 truenas_admin@192.168.0.130
#

(You can turn password auth back off after the tunnel is set up.)


If you paste the last ~25 lines of the ssh -vvv ... output (it won’t include your private key), I can tell you exactly whether it’s “key not offered” vs “key offered but rejected”, and what to change on the TrueNAS side.

glass cargo
#

oh...I just put the sha256 code

bright tundraBOT
#

Yep — that’s the problem.

The SHA256 fingerprint is just the server’s host key fingerprint (the thing SSH showed when it asked “authenticity can’t be established”). That is not an SSH public key you can use to log in.

TrueNAS wants your client public key, which looks like a long single line starting with ssh-ed25519 (or ssh-rsa), e.g.:

ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAI... win10-openclaw

Fix it

1) On Windows, copy your public key

Run (PowerShell):

type $env:USERPROFILE\.ssh\id_ed25519.pub
#

Copy the entire line it prints (starts with ssh-ed25519).

2) Paste it into TrueNAS (correct field)

TrueNAS SCALE UI:

Credentials → Local Users → truenas_admin → Edit → SSH Public Key

  • Remove the SHA256 text you pasted
  • Paste the full ssh-ed25519 ... line
  • Save

3) Test SSH (force that key)

Back on Windows:

ssh -i $env:USERPROFILE\.ssh\id_ed25519 truenas_admin@192.168.0.130
#

Once that works, your tunnel command will work too:

ssh -N -i $env:USERPROFILE\.ssh\id_ed25519 -L 18789:127.0.0.1:30262 truenas_admin@192.168.0.130

Then open:

http://127.0.0.1:18789/

If type ...id_ed25519.pub says the file doesn’t exist, tell me what files you have under C:\Users\s_t_w\.ssh\ (just filenames), and I’ll point you to the right one.

glass cargo
#

PS C:\Users\s_t_w> ssh -i $env:USERPROFILE.ssh\id_ed25519 truenas_admin@192.168.0.130
Linux truenas 6.12.15-production+truenas #1 SMP PREEMPT_DYNAMIC Wed Oct 29 14:40:06 UTC 2025 x86_64

    TrueNAS (c) 2009-2025, iXsystems, Inc. dba TrueNAS
    All rights reserved.
    TrueNAS code is released under the LGPLv3 and GPLv3 licenses with some
    source files copyrighted by (c) iXsystems, Inc. All other components
    are released under their own respective licenses.

    For more information, documentation, help or support, go here:
    http://truenas.com

Warning: the supported mechanisms for making configuration changes
are the TrueNAS WebUI, CLI, and API exclusively. ALL OTHERS ARE
NOT SUPPORTED AND WILL RESULT IN UNDEFINED BEHAVIOR AND MAY
RESULT IN SYSTEM FAILURE.

Welcome to TrueNAS
Last login: Fri Feb 27 21:57:11 2026
truenas_admin@truenas[~]$ ssh -N -i $env:USERPROFILE.ssh\id_ed25519 -L 18789:127.0.0.1:30262 truenas_admin@192.168.0.130
Warning: Identity file :USERPROFILE.sshid_ed25519 not accessible: No such file or directory.
The authenticity of host '192.168.0.130 (192.168.0.130)' can't be established.
ED25519 key fingerprint is SHA256: <redacted> This key is not known by any other names.
Are you sure you want to continue connecting (yes/no/[fingerprint])? yes
Warning: Permanently added '192.168.0.130' (ED25519) to the list of known hosts.
truenas_admin@192.168.0.130: Permission denied (publickey).
truenas_admin@truenas[~]$

bright tundraBOT
#

You successfully SSH’d into TrueNAS — nice. The failure happened because you then tried to run the Windows tunnel command inside the TrueNAS Linux shell, so $env:USERPROFILE turned into garbage and the key wasn’t found.

1) Run the SSH tunnel from Windows PowerShell (not inside TrueNAS)

Open a new PowerShell window on Windows (leave it running):

ssh -N -i $env:USERPROFILE\.ssh\id_ed25519 -L 18789:127.0.0.1:30262 truenas_admin@192.168.0.130
  • 18789 = local port on your Windows PC (can be anything unused)
  • 30262 = your OpenClaw port on TrueNAS (from your logs)

Then browse on Windows to:

(Keep that PowerShell window open; closing it closes the tunnel.)

#

2) “pairing required” / “gateway token missing” next

Those are OpenClaw’s security gates. You’ll need the Gateway Token (not your TrueNAS password).

Where to find the Gateway Token (don’t paste it here):

  • TrueNAS → Apps → openclaw → Edit: look specifically for something like Gateway Token / OPENCLAW_GATEWAY_TOKEN
  • Or TrueNAS → Apps → openclaw → Shell (select the main/gateway container, not the permissions one) and look for it in config/env:
    printenv | grep -i OPENCLAW_GATEWAY
    # or find the config and look for gateway.auth.token
    ls -la /home/node/.openclaw
    

Then in Control UI → Control → Overview → Gateway Access:

  • paste that value into Gateway Token → Connect

If it then says pairing required, approve the device from the gateway container:

#
openclaw devices approve --latest

3) About it calling Anthropic / wanting Ollama

Your gateway log shows the default model is currently Anthropic:
agent model: anthropic/claude-opus-4-6

After you can connect to the Control UI, change your config to use Ollama as the primary model (docs: https://docs.openclaw.ai/providers/ollama). Key detail: use the native Ollama base URL (no /v1), e.g. with your endpoint:

  • baseUrl: "http://192.168.0.130:30068"

If you tell me what model you have in ollama list (example llama3.3, qwen2.5-coder:32b, etc.), I’ll give you the exact config snippet to paste so it stops calling Anthropic.

glass cargo
bright tundraBOT
#

“Connection reset” at http://127.0.0.1:18789/ usually means the SSH tunnel isn’t actually up, or it’s forwarding to the wrong place on the TrueNAS side.

Let’s verify it step-by-step.

1) Start the tunnel (Windows PowerShell) and keep it running

In Windows PowerShell (not inside the TrueNAS SSH shell), run:

ssh -vvv -N -i $env:USERPROFILE\.ssh\id_ed25519 -L 18789:192.168.0.130:30262 truenas_admin@192.168.0.130

Notes:

  • The -vvv makes it tell you if forwarding fails.
  • I’m using 192.168.0.130:30262 (not 127.0.0.1:30262) because on TrueNAS Apps/NodePort setups, the service sometimes isn’t reachable on loopback even though it is on the LAN IP.

If the tunnel is up, that PowerShell window will just sit there (no prompt). Leave it open.

#

2) In a second PowerShell window, test the local port

Test-NetConnection 127.0.0.1 -Port 18789

If that’s True, then try:

curl -v http://127.0.0.1:18789/
  • If Test-NetConnection is False, the tunnel didn’t bind locally (often because the port is already used).
    • Fix: pick a different local port, e.g. 18790:
      ssh -vvv -N -i $env:USERPROFILE\.ssh\id_ed25519 -L 18790:192.168.0.130:30262 truenas_admin@192.168.0.130
      
      then open http://127.0.0.1:18790/
#

3) Quick sanity check on the TrueNAS host itself

In your existing TrueNAS SSH session, run:

curl -I http://192.168.0.130:30262/

That should return headers (200/302/etc). If it can’t connect, then 30262 isn’t actually reachable from the host (which would be weird given you could open it from Windows earlier, but it’s a good check).


Paste the last ~30 lines of the ssh -vvv ... output (it won’t include secrets). The key lines I’m looking for are whether it says the local port bound successfully and whether the forward connect to 192.168.0.130:30262 succeeds or gets refused/reset.

glass cargo
#

PS C:\Users\s_t_w> curl -I http://192.168.0.130:30262/

cmdlet Invoke-WebRequest at command pipeline position 1
Supply values for the following parameters:
Uri:

bright tundraBOT
#

In Windows PowerShell, curl is (annoyingly) an alias for Invoke-WebRequest, so -I doesn’t mean “HEAD” like on Linux. That’s why it’s prompting you for Uri:.

Use one of these instead:

PowerShell (recommended)

Invoke-WebRequest -Method Head -Uri "http://192.168.0.130:30262/"

Or force real curl

curl.exe -I "http://192.168.0.130:30262/"

Now for the “connection reset” on http://127.0.0.1:18789/

#

That almost always means the SSH tunnel isn’t actually established / is forwarding to something that closes immediately.

1) Start the tunnel (Windows PowerShell) and keep that window open

Try forwarding to the TrueNAS LAN IP (more reliable with TrueNAS Apps/NodePorts):

ssh -N -i $env:USERPROFILE\.ssh\id_ed25519 -L 18789:192.168.0.130:30262 truenas_admin@192.168.0.130

(That PowerShell window should “hang” with no prompt — that’s correct.)

2) In a second PowerShell window, verify the local port is listening

Test-NetConnection 127.0.0.1 -Port 18789
curl.exe -I "http://127.0.0.1:18789/"
#

If Test-NetConnection is False, pick a different local port (maybe 18789 is in use):

ssh -N -i $env:USERPROFILE\.ssh\id_ed25519 -L 18790:192.168.0.130:30262 truenas_admin@192.168.0.130

then open http://127.0.0.1:18790/.


Reply with the output of:

  • Test-NetConnection 127.0.0.1 -Port 18789
  • curl.exe -I "http://192.168.0.130:30262/"

and I can tell you immediately whether it’s “tunnel not up” vs “remote port is closing”.

glass cargo
#

PS C:\Users\s_t_w> Invoke-WebRequest -Method Head -Uri "http://192.168.0.130:30262/"
Security Warning: Script Execution Risk
Invoke-WebRequest parses the content of the web page. Script code in the web page might be run when the page is
parsed.
RECOMMENDED ACTION:
Use the -UseBasicParsing switch to avoid script code execution.

  Do you want to continue?

[Y] Yes [A] Yes to All [N] No [L] No to All [S] Suspend [?] Help (default is "N"): Y

StatusCode : 200
StatusDescription : OK
Content :
RawContent : HTTP/1.1 200 OK
X-Content-Type-Options: nosniff
Referrer-Policy: no-referrer
X-Frame-Options: DENY
Content-Security-Policy: default-src 'self'; base-uri 'none'; object-src 'none'; frame-ancestors
...
Forms : {}
Headers : {[X-Content-Type-Options, nosniff], [Referrer-Policy, no-referrer], [X-Frame-Options, DENY],
[Content-Security-Policy, default-src 'self'; base-uri 'none'; object-src 'none'; frame-ancestors
'none'; script-src 'self'; style-src 'self' 'unsafe-inline'; img-src 'self' data: https:; font-src
'self'; connect-src 'self' ws: wss:]...}
Images : {}
InputFields : {}
Links : {}
ParsedHtml : mshtml.HTMLDocumentClass
RawContentLength : 0

PS C:\Users\s_t_w>

bright tundraBOT
#

http://192.168.0.130:30262/ is responding 200 OK, so OpenClaw is up. The “connection reset” at http://127.0.0.1:18789/ means your SSH tunnel isn’t actually forwarding to the right place (or isn’t running).

1) Use the correct tunnel target (don’t forward to remote 127.0.0.1)

On TrueNAS SCALE Apps, that 30262 port is typically reachable on the node IP, not necessarily on 127.0.0.1 from the TrueNAS side. So do this from Windows PowerShell:

ssh -N -i $env:USERPROFILE\.ssh\id_ed25519 `
  -L 18789:192.168.0.130:30262 `
  truenas_admin@192.168.0.130

Leave that window open (it will look “stuck” — that’s normal).

Then in a second PowerShell window:

#
Test-NetConnection 127.0.0.1 -Port 18789
curl.exe -I "http://127.0.0.1:18789/"

If that works, open in your browser:

  • http://127.0.0.1:18789/

2) About “pairing required” + “gateway token missing”

Those are OpenClaw’s normal security gates:

  • Gateway Token missing ⇒ you must paste the gateway token (not your TrueNAS user password) into Control UI → Control → Overview → Gateway Access → Gateway Token.
  • Pairing required (after auth) ⇒ approve the browser/device once on the gateway host:
    • openclaw devices approve --latest

The easiest way to get the token is to run (inside the OpenClaw app’s main/gateway container shell, not the permissions container):

#
openclaw dashboard --no-open

It prints a URL containing #token=... (copy that token into the UI). Don’t paste it into Discord.

Docs: https://docs.openclaw.ai/help/faq#how-do-i-authenticate-the-dashboard-token-on-localhost-vs-remote

3) Using Ollama instead of Anthropic

Your logs show your current default model is Anthropic. Once you’re connected to the UI, set your default model to an ollama/... model and point the provider at:

  • http://192.168.0.130:30068 (native Ollama base URL, no /v1)

Docs: https://docs.openclaw.ai/providers/ollama

If you reply with the output of:

  • Test-NetConnection 127.0.0.1 -Port 18789
  • and whether the SSH tunnel window shows any errors,
#

I can tell you immediately what’s still off with the tunnel.

glass cargo
#

PS C:\Users\s_t_w> Test-NetConnection 127.0.0.1 -Port 18789 >> curl.exe -I "http://127.0.0.1:18789/"
ComputerName : 127.0.0.1
RemoteAddress : 127.0.0.1
RemotePort : 18789
InterfaceAlias : Loopback Pseudo-Interface 1
SourceAddress : 127.0.0.1
TcpTestSucceeded : True

curl: (56) Recv failure: Connection was reset

PS C:\Users\s_t_w>

bright tundraBOT
#

TcpTestSucceeded : True means something is listening on your Windows port 18789 (so the local end of the tunnel is up).

But curl: (56) … Connection was reset usually means: SSH accepted the tunnel, but the SSH server is refusing to open the forwarded connection when you actually try to use it.

On TrueNAS this is most commonly because TCP port forwarding is disabled in the SSH service (AllowTcpForwarding no / “Allow TCP Port Forwarding” off).

Fix: enable SSH TCP forwarding in TrueNAS

TrueNAS SCALE Web UI:

System Settings → Services → SSH → Edit (pencil icon)
Enable something like:

  • Allow TCP Port Forwarding (wording varies)

Save, then restart the SSH service.

Re-test with verbose SSH so you can see the real reason

On Windows PowerShell:

#
ssh -vvv -N -i $env:USERPROFILE\.ssh\id_ed25519 -L 18789:192.168.0.130:30262 truenas_admin@192.168.0.130

Then in another PowerShell:

curl.exe -I "http://127.0.0.1:18789/"

If forwarding is disabled, the -vvv window will typically show something like:

  • channel …: open failed: administratively prohibited: open failed

If you paste just those few -vvv lines around the failure (no secrets), I can confirm.

Once the tunnel works, http://127.0.0.1:18789/ should load the Control UI, and then you can finish auth (gateway token) + device pairing and switch the model to Ollama.

glass cargo
#

form the 2nd powershell > Windows PowerShell
Copyright (C) Microsoft Corporation. All rights reserved.

Try the new cross-platform PowerShell https://aka.ms/pscore6

PS C:\Users\s_t_w> curl.exe -I "http://127.0.0.1:18789/"
HTTP/1.1 200 OK
X-Content-Type-Options: nosniff
Referrer-Policy: no-referrer
X-Frame-Options: DENY
Content-Security-Policy: default-src 'self'; base-uri 'none'; object-src 'none'; frame-ancestors 'none'; script-src 'self'; style-src 'self' 'unsafe-inline'; img-src 'self' data: https:; font-src 'self'; connect-src 'self' ws: wss:
Content-Type: text/html; charset=utf-8
Cache-Control: no-cache
Date: Sat, 28 Feb 2026 07:10:24 GMT
Connection: keep-alive
Keep-Alive: timeout=5

PS C:\Users\s_t_w>

bright tundraBOT
#

Nice — that HTTP/1.1 200 OK from http://127.0.0.1:18789/ means the SSH tunnel is working now.

1) Open the Control UI through the tunnel

On Windows, open in your browser:

Keep the PowerShell window running the ssh -N -L ... command open (closing it will drop the tunnel and you’ll get “connection reset” again).

2) If the UI says “gateway token missing” (very likely)

You’ll need the OpenClaw gateway token (this is not your TrueNAS user password, and not the SHA256 fingerprint).

Best way to get it:

TrueNAS UI → Apps → openclaw → Shell
Select the main/gateway container (not the permissions container), then run:

#
openclaw dashboard --no-open

It prints a URL that includes #token=....

Copy only the token value into Control UI → Control → Overview → Gateway Access → Gateway Token → Connect.

(Do not paste the token into Discord.)

3) If it then says “pairing required”

Because you’re connecting via the tunnel (127.0.0.1), this is often auto-approved — but if it still asks:

In that same gateway container shell:

openclaw devices approve --latest
#

4) Switching from Anthropic to your local Ollama

Once you’re connected, go to the Config tab in Control UI and set your default model to Ollama.

Use the native Ollama base URL (no /v1), with what you gave:

  • baseUrl: "http://192.168.0.130:30068"

Config snippet (you’ll replace <YOUR_MODEL_ID> with something from ollama list, e.g. llama3.3):

{
  models: {
    providers: {
      ollama: {
        baseUrl: "http://192.168.0.130:30068",
        api: "ollama",
#
        apiKey: "ollama-local"
      }
    }
  },
  agents: {
    defaults: {
      model: { primary: "ollama/<YOUR_MODEL_ID>", fallbacks: [] }
    }
  }
}

Docs for Ollama provider: https://docs.openclaw.ai/providers/ollama

If you tell me what ollama list shows for model names, I’ll tell you exactly what to put for ollama/<YOUR_MODEL_ID>.

glass cargo
#

drop ollama..lets get access first. 127.0.0.1:18789 is now bringing up openclaw but still reporting token issue

bright tundraBOT
#

Yep — that’s expected. The SSH tunnel got you a “secure” way to reach the UI, but your Gateway is still configured to require Gateway Token auth, so the Control UI will keep saying “token missing” until you paste the token.

What to do now (get the Gateway Token from the TrueNAS OpenClaw container)

Do not paste the token into Discord. Copy it straight into the Control UI.

  1. TrueNAS Web UI → Apps → openclaw → Shell
  2. In the container dropdown, pick the main/gateway container (not the permissions one).
  3. Run one of these:
openclaw dashboard --no-open

or

#
openclaw config get gateway.auth.token
  • openclaw dashboard --no-open is nice because it prints a URL containing #token=....
  1. Back on Windows in the Control UI:
  • Control → Overview → Gateway Access
  • Paste into Gateway Token
  • Click Connect

If it then says “pairing required”

Approve the device once from that same container shell:

openclaw devices approve --latest
#

If openclaw says “Permission denied” again

You’re in the wrong container (usually the permissions container). Switch the container dropdown to the gateway/main one and retry.

Once you’re connected, then we can switch the default model away from Anthropic and over to Ollama.

glass cargo
#

$ openclaw dashboard --no-open
/bin/sh: 1: openclaw: Permission denied
$

bright tundraBOT
#

That openclaw: Permission denied means you’re not in the right container (or you’re in the right app but the openclaw binary isn’t executable for that shell user). Either way, you can still get the gateway token without running openclaw.

1) First: make sure you’re in the gateway/main container

TrueNAS → Apps → openclaw → Shell usually has a container dropdown.

  • Pick something like: gateway, openclaw, main
  • Avoid: permissions (that one often can’t run the CLI)

If you’re unsure, tell me the container names shown in the dropdown.

2) Get the token via environment variables (works even if CLI won’t run)

In that shell, run:

printenv | grep -i OPENCLAW
printenv | grep -i TOKEN
#

Look for something like OPENCLAW_GATEWAY_TOKEN=... (that value is your token).
Don’t paste it here — paste it into Control UI → Gateway Access → Gateway Token.

If printenv doesn’t show it, try the process environment:

tr '\0' '\n' < /proc/1/environ | grep -i OPENCLAW
tr '\0' '\n' < /proc/1/environ | grep -i TOKEN

3) Or read it from the config file directly

OpenClaw config is usually in one of these locations inside the container:

ls -la /home/node/.openclaw 2>/dev/null
ls -la /home/node/.openclaw/openclaw.json 2>/dev/null
#
ls -la /home/node/.openclaw/.openclaw/openclaw.json 2>/dev/null

Then search for the token:

grep -n "gateway" /home/node/.openclaw/openclaw.json 2>/dev/null
grep -n "gateway" /home/node/.openclaw/.openclaw/openclaw.json 2>/dev/null
grep -n "auth" /home/node/.openclaw/openclaw.json 2>/dev/null

You’re looking for gateway.auth.token.

4) Quick sanity: what is “openclaw” in this shell?

Run:

#
command -v openclaw
ls -la "$(command -v openclaw)" 2>/dev/null

If it shows it’s not executable, that’s another confirmation you’re in the wrong container or user context.

Once you’ve pasted the token and connected, if it goes back to “pairing required”, we’ll approve the device next.

glass cargo
#

I have the openclaw_gateway_token=<redacted>

bright tundraBOT
#

Perfect — that OPENCLAW_GATEWAY_TOKEN value is exactly what goes into the Gateway Token field.

Do this on the Windows Control UI (over your SSH tunnel at http://127.0.0.1:18789/):

  1. Control → Overview → Gateway Access
  2. Paste the token into Gateway Token
  3. Click Connect

If it then switches to “pairing required”, approve the browser/device once from the gateway host. Since your openclaw CLI is “permission denied” in that shell, use the Control UI’s own hint only if you can run it from the correct container; otherwise:

  • Try opening Apps → openclaw → Shell and switch the container dropdown away from permissions until openclaw devices approve --latest works.
  • Or, if the UI offers an “Approve” action anywhere under Devices, use that.

After it connects successfully, tell me what the status shows (Online/Offline + whether chat works). Then we can tackle switching the model to Ollama if you still want that.

glass cargo
#

gatewat token added then hit connect > pairing required
This device needs pairing approval from the gateway host.
openclaw devices list
openclaw devices approve <requestId>
On mobile? Copy the full URL (including #token=...) from openclaw dashboard --no-open on your desktop.

bright tundraBOT
#

That’s the expected next step: your browser is now authenticated (token), but the Gateway still wants a one-time device approval.

You need to run the devices approve command on the TrueNAS side where the Gateway is running while the Control UI is sitting on “pairing required” (pending requests time out after a few minutes).

Option 1 (best): approve from the TrueNAS App “Shell” in the correct container

  1. TrueNAS → Apps → openclaw → Shell
  2. In the container dropdown, pick the main/gateway container (not permissions)
  3. Run:
openclaw devices list
openclaw devices approve --latest

Then reload the Control UI.

If you still get openclaw: Permission denied in that shell

#

Run these to see what’s going on:

command -v openclaw
ls -la "$(command -v openclaw)"

If it shows the file exists but isn’t executable (no x bit), you can usually run it via node:

node "$(command -v openclaw)" devices approve --latest

Option 2: approve via SSH on the TrueNAS host (if the app shell keeps being weird)

SSH into TrueNAS (you already can), then tell me if this works:

#
openclaw devices approve --latest

If openclaw isn’t installed on the TrueNAS host (common when running as an App), we’ll exec into the app container from the host next—but try Option 1 first.

Once it’s approved, the Control UI should go “Online” and the pairing message will stop. Then we can switch you over to Ollama (local) so it stops trying Anthropic.

glass cargo
#

this is really pissing me off now

bright tundraBOT
#

Yeah, I get it — this part is maddening. You’re almost there: token is accepted, now it’s just the one-time device pairing gate.

Here’s the fastest way to avoid the pairing step entirely:

Option A (fastest): make the tunnel hit TrueNAS loopback so it auto-approves

OpenClaw auto-approves 127.0.0.1 connections. Right now your tunnel is effectively making the gateway see a “remote/LAN” connect, so it demands pairing.

  1. On Windows: close the current SSH tunnel (Ctrl+C in the PowerShell window that’s running ssh -N ...).

  2. Start a new tunnel that forwards to 127.0.0.1:30262 on the TrueNAS side:

ssh -N -i $env:USERPROFILE\.ssh\id_ed25519 -L 18789:127.0.0.1:30262 truenas_admin@192.168.0.130
  1. Open:
#

Now it should behave like a local connect and stop asking for pairing (you may still need the token, but you already have that).

Option B (if it still asks for pairing): approve the device once

Keep the “pairing required” page open, then on TrueNAS you must run:

openclaw devices approve --latest

The catch is you need to run it inside the OpenClaw gateway container (not the permissions container). If you tell me the container names you see in Apps → openclaw → Shell dropdown, I’ll tell you exactly which one to pick.

Try Option A first — it usually bypasses this whole pairing mess.

glass cargo
#

openclaw
–
Running
permissions
–
Exited

bright tundraBOT
#

Good — that tells us exactly what happened:

  • permissions exited (that’s the init container that was giving you openclaw: Permission denied)
  • openclaw is the real running gateway container (this is the one we need)

Now do this:

  1. Keep the browser tab open where it says “pairing required” (so the pending request exists).
  2. TrueNAS → Apps → openclaw → Shell
  3. In the container selector choose openclaw (the running one)
  4. Run:
openclaw devices list
openclaw devices approve --latest
#

Then refresh the browser UI.

If devices list shows nothing pending, the request probably expired — just refresh the Control UI page to trigger “pairing required” again, then immediately re-run openclaw devices approve --latest.

glass cargo
#

$ openclaw devices list
/bin/sh: 1: openclaw: Permission denied
$

bright tundraBOT
#

You’re in the right container (openclaw), but the openclaw CLI entrypoint file inside that container isn’t marked executable, so /bin/sh can’t run it directly. Two ways out:

Option A (best): avoid pairing approval entirely (loopback tunnel)

Device pairing is auto-approved when the Gateway sees the connection coming from 127.0.0.1.

  1. On Windows: stop your current tunnel (Ctrl+C in the PowerShell running ssh -N ...)

  2. Start a new tunnel that forwards to TrueNAS loopback:

ssh -N -i $env:USERPROFILE\.ssh\id_ed25519 -L 18789:127.0.0.1:30262 truenas_admin@192.168.0.130
  1. Open:

Paste the gateway token again if asked. With this tunnel, it often stops asking for pairing.

#

Option B: approve pairing from the container (work around “Permission denied”)

In TrueNAS → Apps → openclaw → Shell (container = openclaw), run these:

command -v openclaw
ls -la "$(command -v openclaw)"
head -n 1 "$(command -v openclaw)"

Then run it via the interpreter (this bypasses the missing executable bit):

  • If the first line starts with #!/usr/bin/env node:
node "$(command -v openclaw)" devices approve --latest
  • If it starts with #!/bin/sh or #!/usr/bin/env bash:
#
sh "$(command -v openclaw)" devices approve --latest

After approving, refresh the Control UI.

If you paste the output of those 3 “command/ls/head” lines (they won’t include secrets), I’ll tell you exactly which of the two commands to use.

glass cargo
#

Option A still produces pairing error....want me to try B?

bright tundraBOT
#

Yes — try Option B. Since the loopback tunnel didn’t auto-bypass pairing in your setup, we need to approve the device from inside the running openclaw container, but we’ll invoke the CLI via node/sh to get around the Permission denied.

In TrueNAS → Apps → openclaw → Shell (container = openclaw), run these exactly and paste the output:

command -v openclaw
ls -la "$(command -v openclaw)"
head -n 1 "$(command -v openclaw)"

Then (don’t wait for me), try the appropriate one based on that first line:

  • If it starts with #!/usr/bin/env node:
node "$(command -v openclaw)" devices approve --latest
#
  • If it starts with #!/bin/sh or #!/usr/bin/env bash:
sh "$(command -v openclaw)" devices approve --latest

After it says approved, refresh the Control UI page and the pairing banner should disappear.

glass cargo
#

$ command -v openclaw
ls -la "$(command -v openclaw)"
head -n 1 "$(command -v openclaw)"$ ls: cannot access '': No such file or directory
$

bright tundraBOT
#

Yeah, this is the last annoying gate. You’re authenticated (token works) — now we just need to run the device approve command once, but your container can’t execute the openclaw wrapper directly.

In the TrueNAS Apps → openclaw → Shell (container: openclaw), run these one at a time:

echo $PATH
type openclaw
which openclaw

One of those should show where openclaw lives.

If which openclaw prints a path

Then run the script via an interpreter (bypasses the executable bit):

#
sh "$(which openclaw)" devices approve --latest

If that says it’s a Node script instead, run:

node "$(which openclaw)" devices approve --latest

If which openclaw prints nothing (not in PATH)

Try the common npm location directly (this works in a lot of TrueNAS app images):

ls -la /app/node_modules/openclaw/dist/cli.js
node /app/node_modules/openclaw/dist/cli.js devices approve --latest
#

After it approves, reload the Control UI page that says “pairing required”.

If you paste the output of just:

  • type openclaw
  • which openclaw

…I’ll tell you exactly which of the commands above will work in your container.

glass cargo
#

$ echo $PATH
type openclaw
which openclaw/root/.bun/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
$ openclaw: not found
$

bright tundraBOT
#

Yep — that output means the openclaw CLI isn’t on PATH inside that container shell, so we can’t run openclaw devices … directly.

But the gateway is clearly running, so the CLI code is almost certainly present — we’ll run it via node from its installed location.

1) Find where the OpenClaw CLI file lives (inside the openclaw container shell)

Run these (they’re safe):

node -v

ls -la /app/node_modules/openclaw/dist/cli.js 2>/dev/null || true
ls -la /usr/local/lib/node_modules/openclaw/dist/cli.js 2>/dev/null || true
ls -la /app/dist/cli.js 2>/dev/null || true

One of those paths should exist.

#

2) Approve the pending device pairing (while the browser says “pairing required”)

Pick the path that exists (I’ll use /app/node_modules/openclaw/dist/cli.js as the example):

node /app/node_modules/openclaw/dist/cli.js devices list --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"
node /app/node_modules/openclaw/dist/cli.js devices approve --latest --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"

Then refresh the Control UI in your browser.

Notes:

  • Don’t post the token (you already have it in OPENCLAW_GATEWAY_TOKEN, so we reference it safely).
  • If devices list shows nothing pending, the request likely expired — refresh the Control UI page (to recreate the pending request) and re-run the two commands immediately.

3) If none of those files exist

Run this and paste the output (just filenames/paths, no secrets):

#
find /app /usr/local /opt -maxdepth 5 -type f -name "cli.js" 2>/dev/null | grep -i openclaw

That will tell us exactly what path to use.

Once you get past pairing, the UI should go “Online” and stop looping.

glass cargo
#

$ node -v

ls -la /app/node_modules/openclaw/dist/cli.js 2>/dev/null || true
ls -la /usr/local/lib/node_modules/openclaw/dist/cli.js 2>/dev/null || true
ls -la /app/dist/cli.js 2>/dev/null || true$ $ $ $
$

bright tundraBOT
#

Yes — try B, and good news: your output tells us what’s going on.

Right now in the openclaw container shell:

  • openclaw is not on PATH (openclaw: not found)
  • those ls -la /app/... checks returned nothing, so we need to locate how the gateway process was started and run the CLI JS directly.

Step 1: find the actual command the container is running (this reveals the path)

In the TrueNAS Apps → openclaw → Shell (container: openclaw), run:

tr '\0' ' ' < /proc/1/cmdline

Paste what it prints (it’s just the command line; no secrets).

Step 2: once we see the path, approve the pending pairing

#

You should be able to run something like this (example paths — we’ll use the real one from Step 1):

node /app/.../cli.js devices approve --latest --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"

(Your Control UI must still be sitting on “pairing required” while you do this; pending requests expire after a few minutes.)


If tr … /proc/1/cmdline is empty or errors, run these and paste output:

ps -eo pid,args | head -30
ps -eo pid,args | grep -i openclaw || true
which node || echo "no node"
#
which bun || echo "no bun"

Once we have the process path, we can run the approve command and you’re done with pairing forever for that browser profile.

glass cargo
#

$ node -v

ls -la /app/node_modules/openclaw/dist/cli.js 2>/dev/null || true
ls -la /usr/local/lib/node_modules/openclaw/dist/cli.js 2>/dev/null || true
ls -la /app/dist/cli.js 2>/dev/null || true$ $ $ $
$ node -v

ls -la /app/node_modules/openclaw/dist/cli.js 2>/dev/null || true
ls -la /usr/local/lib/node_modules/openclaw/dist/cli.js 2>/dev/null || true
ls -la /app/dist/cli.js 2>/dev/null || truev22.22.0
$ $ $ $
$ tr '\0' ' ' < /proc/1/cmdline
/sbin/docker-init -- docker-entrypoint.sh node openclaw.mjs gateway --allow-unconfigured --bind lan --port 30262 $

bright tundraBOT
#

Great — that /proc/1/cmdline output is the missing piece:

node openclaw.mjs gateway --bind lan --port 30262

So the CLI entrypoint you need is openclaw.mjs (and you run it with node).

While your browser is still sitting on “pairing required”, do this in the TrueNAS Apps → openclaw → Shell (container: openclaw):

1) Confirm the file is there

ls -la openclaw.mjs

2) List pending device pairing requests

#
node openclaw.mjs devices list --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"

3) Approve the latest pending request

node openclaw.mjs devices approve --latest --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"

Then reload your Control UI page (http://127.0.0.1:18789/ through the tunnel). The pairing banner should disappear.

If devices list shows nothing pending, the request probably expired — refresh the Control UI (to recreate the pending request) and immediately re-run the approve command.

glass cargo
#

$ ls -la openclaw.mjs
-rwxr-xr-x 1 node node 1414 Feb 23 02:24 openclaw.mjs
$

bright tundraBOT
#

Perfect. openclaw.mjs is executable and right there — now we can approve the pending device.

While the browser tab is still showing “pairing required”, run these in the same TrueNAS app shell (container: openclaw):

node openclaw.mjs devices list --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"

You should see a pending request with a requestId. Then approve it:

node openclaw.mjs devices approve --latest --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"

Then refresh the Control UI (http://127.0.0.1:18789/ through the tunnel).

If devices list shows nothing pending, the request probably expired—refresh the Control UI page to recreate the pairing request and immediately rerun the approve --latest command.

glass cargo
#

$ node openclaw.mjs devices list --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"

🦞 OpenClaw 2026.2.22-2 (unknown) — I'll do the boring stuff while you dramatically stare at the logs like it's cinema.

│
◇
No device pairing entries.
$

bright tundraBOT
#

Yeah, this is infuriating — but that devices list result is actually a useful clue:

No device pairing entries.

That means the gateway you queried (ws://127.0.0.1:30262) currently has no pending pairing request.

So one of these is happening:

  1. the pairing request expired (they time out fast), or
  2. your Control UI is actually trying to connect to a different gateway URL/port than 30262 (Control UI can “remember” an old gatewayUrl in its settings/localStorage).

Let’s force it to generate a fresh pending request on the same gateway, then approve immediately.

Do this (tight timing)

Step 1 — In the Control UI

On Windows, in the Control UI (even while “Offline”), go to Control → Overview → Gateway Access and check the Gateway URL field:

#
  • it should be blank / auto, or explicitly:
    • ws://127.0.0.1:18789 (since you’re going through the SSH tunnel)

Do not point it at old ports like 30260 etc.

Then click Connect so it shows pairing required again (fresh).

Step 2 — Immediately on TrueNAS (container shell)

In the TrueNAS app shell (container openclaw), run:

node openclaw.mjs devices list --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"

If you now see a pending request, approve it right away:

#
node openclaw.mjs devices approve --latest --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"

Then reload the browser.

If devices list STILL shows no entries

Then the UI is not talking to 30262. Tell me what Gateway URL it shows in Gateway Access (just the URL/port, not the token), and we’ll align them.

Also, as a fallback, run this and paste the output (it won’t include your token):

tail -n 200 /tmp/openclaw/openclaw-*.log | grep -i -E "pair|device|1008" | tail -n 50

That will show whether the gateway is even receiving a pairing attempt and for which device/requestId.

glass cargo
#

I closed the openclaw and the powershell tunnel for a clean start...can we run that now we know where the directory of interest is?

bright tundraBOT
#

Yes — clean start is the right move, and now that we know the “real CLI” in the container is node openclaw.mjs …, we can do this in a controlled way.

Also: don’t paste the gateway token into Discord again (treat it like a password).

Clean-start checklist (end-to-end)

1) Start the SSH tunnel (Windows PowerShell) — keep this window open

ssh -N -i $env:USERPROFILE\.ssh\id_ed25519 -L 18789:192.168.0.130:30262 truenas_admin@192.168.0.130

2) Open the Control UI through the tunnel

Browser on Windows:

In Control → Overview → Gateway Access:

  • paste the Gateway Token
#
  • click Connect

You’ll likely land on “pairing required” again. That’s fine.

3) While it shows “pairing required”, approve the device from the TrueNAS App shell

TrueNAS → Apps → openclaw → Shell → container openclaw

Run:

node openclaw.mjs devices list --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"

If you see a pending request, approve it immediately:

#
node openclaw.mjs devices approve --latest --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"

Then refresh the browser page.

If devices list still shows “No device pairing entries”

That means the pairing request isn’t being created on this gateway (usually because the browser UI is pointed at a different gateway URL, or the request expired).

Fastest fix: open the Control UI in an Incognito/InPrivate window (to avoid it reusing an old saved gateway URL), then click Connect again and immediately re-run devices list.

If it still shows nothing, paste:

  • what Gateway URL is shown in “Gateway Access” (just the URL/port), and
  • the output of:
tail -n 200 /tmp/openclaw/openclaw-*.log | grep -i -E "device|pair|1008|connect" | tail -n 50
#

That will tell us exactly why the pending request isn’t appearing.

glass cargo
#

it worked! you are a genius little lobster

bright tundraBOT
#

Hell yes — nice work sticking with it.

Two quick “now that it’s working” notes so you don’t get bitten again:

  1. Keep that SSH tunnel PowerShell window open when you want to use the UI (http://127.0.0.1:18789/). If you close it, the UI will look dead again.

  2. If you ever see pairing required again, it’s usually because you:

  • changed browsers / cleared site data, or
  • switched to a different browser profile.
    Then you just repeat the same approve flow (node openclaw.mjs devices approve --latest ...).

If you want, next we can:

  • switch your default model to Ollama (so it stops calling Anthropic), and/or
  • make the gateway easier to access without SSH (HTTPS via reverse proxy / Tailscale).
glass cargo
#

yes...lets switch to ollama...is there also a way to make the connection permenant?

bright tundraBOT
#

Alright — now that you’re in, switching to Ollama is just config.

Switch OpenClaw to Ollama (local)

1) Verify the OpenClaw container can reach Ollama

In TrueNAS → Apps → openclaw → Shell (container openclaw), run:

curl -s http://192.168.0.130:30068/api/tags | head

You want JSON back.
If that works: good — that’s the native Ollama API (what OpenClaw wants).
(Important: don’t use an Ollama URL ending in /v1 for OpenClaw.)

Docs: https://docs.openclaw.ai/providers/ollama

#

2) Set Ollama as your default model in the Control UI

In the Control UI go to the Config tab (Raw JSON editor is fine) and set something like:

{
  models: {
    providers: {
      ollama: {
        baseUrl: "http://192.168.0.130:30068", // no /v1
        api: "ollama",
        apiKey: "ollama-local" // any string; Ollama doesn't need a real key
      }
    }
  },
  agents: {
    defaults: {
#
      model: {
        primary: "ollama/<MODEL_ID_FROM_OLLAMA_LIST>",
        fallbacks: []
      }
    }
  }
}

To get <MODEL_ID_FROM_OLLAMA_LIST> run on the TrueNAS host/container:

ollama list

…and use the name from the first column.

After saving, reload the chat and it should stop calling Anthropic.

#

Make the connection “permanent” (so you don’t need the SSH tunnel)

You have two good options:

Option A (simple, LAN only): use your *.localhost hostname

Since you already have truenas.localhost in your Windows hosts file, you can usually just use:

  • http://truenas.localhost:30262/

and keep the gateway token saved in the Control UI settings. It’ll stay paired unless you clear browser storage / switch browsers.

Option B (works anywhere): put it behind HTTPS

If you want to access it reliably without SSH and without browser security weirdness, put the Control UI behind HTTPS (reverse proxy or Tailscale Serve style setup). That’s the “clean” long-term path.


#

If you paste the output of ollama list (model names only; no secrets), I’ll tell you exactly what to put for the ollama/<...> model string.

glass cargo
#

$ curl -s http://192.168.0.130:30068/api/tags | head
{"models":[{"name":"qwen3-vl:2b","model":"qwen3-vl:2b","modified_at":"2025-12-08T10:03:55.131166722Z","size":1889519687,"digest":"0635d9d857d497aeadba3d7d27485746c50554446f9f6ec01ef39788221adbe8","details":{"parent_model":"","format":"gguf","family":"qwen3vl","families":["qwen3vl"],"parameter_size":"2.1B","quantization_level":"Q4_K_M"}},{"name":"llama3.2-vision:latest","model":"llama3.2-vision:latest","modified_at":"2025-11-28T02:22:48.680838957Z","size":7816589186,"digest":"6f2f9757ae97e8a3f8ea33d6adb2b11d93d9a35bef277cd2c0b1b5af8e8d0b1e","details":{"parent_model":"","format":"gguf","family":"mllama","families":["mllama"],"parameter_size":"10.7B","quantization_level":"Q4_K_M"}},{"name":"qwen3:1.7b","model":"qwen3:1.7b","modified_at":"2025-11-27T09:39:33.502943314Z","size":1359293444,"digest":"8f68893c685c3ddff2aa3fffce2aa60a30bb2da65ca488b61fff134a4d1730e7","details":{"parent_model":"","format":"gguf","family":"qwen3","families":["qwen3"],"parameter_size":"2.0B","quantization_level":"Q4_K_M"}}]}$

bright tundraBOT
#

Nice — that curl .../api/tags output confirms OpenClaw can reach Ollama’s native API at:

  • http://192.168.0.130:30068 (good: no /v1)

Switch OpenClaw to Ollama (stop Anthropic)

In the Control UI → Config (Raw JSON), set Ollama as a provider and set your default model to one of the models you listed (start with the text-only one first):

{
  models: {
    providers: {
      ollama: {
        baseUrl: "http://192.168.0.130:30068",
        api: "ollama",
        apiKey: "ollama-local",
        models: [
#
          {
            id: "qwen3:1.7b",
            name: "Qwen3 1.7b",
            reasoning: false,
            input: ["text"],
            cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
            contextWindow: 8192,
            maxTokens: 8192 * 10
          }
        ]
      }
    }
  },
  agents: {
    defaults: {
#
      model: {
        primary: "ollama/qwen3:1.7b",
        fallbacks: []
      }
    }
  }
}

Save/apply, then refresh chat. That should stop it from ever trying Anthropic (unless you re-add Anthropic fallbacks later).

If you want to use llama3.2-vision:latest or qwen3-vl:2b afterward, we can add them as extra entries once the basic text model is confirmed working.

Docs reference: https://docs.openclaw.ai/providers/ollama

Make the connection “permanent” (no SSH tunnel)

#

You’ve got two “good” options:

Option A (LAN-only, simplest)

Use your secure-context hostname and keep token saved:

  • http://truenas.localhost:30262/

As long as you don’t clear browser storage / switch browser profiles, the token and device pairing should stick.

Option B (best long-term)

Put the gateway behind HTTPS (reverse proxy or Tailscale Serve style). That avoids all the browser “secure context” nonsense permanently and works off-LAN too.

If you tell me “LAN-only is fine” vs “I want access from anywhere”, I’ll recommend the right permanent setup path.

glass cargo
#

the following was already in the JSON....combined your recommendationa dn this > {
"messages": {
"ackReactionScope": "group-mentions"
},
"agents": {
"defaults": {
"maxConcurrent": 4,
"subagents": {
"maxConcurrent": 8
},
"compaction": {
"mode": "safeguard"
}
}
}
}

bright tundraBOT
#

Yep — you don’t “combine” configs by nesting one inside the other. You keep what you already have at the top level, and add the models block + set agents.defaults.model inside your existing agents.defaults.

Here’s a merged example you can paste into the Control UI Config → Raw JSON (JSON5 is fine):

{
  messages: {
    ackReactionScope: "group-mentions",
  },

  models: {
    providers: {
      ollama: {
        baseUrl: "http://192.168.0.130:30068", // native Ollama API, NO /v1
        api: "ollama",
        apiKey: "ollama-local", // can be any string
#
        models: [
          {
            id: "qwen3:1.7b",
            name: "Qwen3 1.7b",
            reasoning: false,
            input: ["text"],
            cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
            contextWindow: 8192,
            maxTokens: 8192 * 10,
          },
        ],
      },
    },
  },
#
  agents: {
    defaults: {
      maxConcurrent: 4,
      subagents: { maxConcurrent: 8 },
      compaction: { mode: "safeguard" },

      // IMPORTANT: this is what stops Anthropic usage
      model: {
        primary: "ollama/qwen3:1.7b",
        fallbacks: [],
      },
    },
  },
}
#

After saving/applying:

  • refresh the chat page
  • check your gateway logs — you should see it using ollama/qwen3:1.7b instead of anthropic/....

If you want to use a vision model later (llama3.2-vision:latest or qwen3-vl:2b), we can add it to the models.providers.ollama.models list too.

For the “permanent connection” part: if you’re LAN-only, you can usually just use http://truenas.localhost:30262/ (and keep the token saved in the UI) so you don’t need the SSH tunnel every time.

glass cargo
#

GatewayRequestError: SyntaxError: JSON5: invalid character '*' at 20:29

bright tundraBOT
#

That * is from this line:

maxTokens: 8192 * 10,

JSON5 allows comments/trailing commas, but it does not allow math expressions. Replace it with the computed number.

Use:

maxTokens: 81920,

So the model entry should be:

#
models: {
  providers: {
    ollama: {
      baseUrl: "http://192.168.0.130:30068",
      api: "ollama",
      apiKey: "ollama-local",
      models: [
        {
          id: "qwen3:1.7b",
          name: "Qwen3 1.7b",
          reasoning: false,
          input: ["text"],
          cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
          contextWindow: 8192,
          maxTokens: 81920,
#
        },
      ],
    },
  },
},

Fix that one line, save/apply again, and the config should validate.

glass cargo
#

disconnected (1006): no reason

bright tundraBOT
#

disconnected (1006): no reason is the Control UI’s way of saying: “the WebSocket dropped without a clean close.” In practice it’s almost always one of these:

  1. the gateway restarted right after you saved/applied config
  2. your SSH tunnel dropped / was closed
  3. the gateway crashed on startup due to a config error

Quick check (most common: tunnel/restart)

  1. Make sure your PowerShell window running the SSH tunnel is still open (the one with ssh -N -L ...). If you closed it, the UI will drop like this.

  2. In a second PowerShell, check the UI is reachable:

curl.exe -I "http://127.0.0.1:18789/"
  • If you get HTTP/1.1 200 OK → just refresh the browser tab. It should reconnect.
  • If it fails → restart the SSH tunnel.

If it keeps happening (likely gateway config error)

#

On TrueNAS → Apps → openclaw → Logs (container openclaw), look at the newest lines right after you saved the config. Or in the app shell run:

tail -n 200 /tmp/openclaw/openclaw-*.log | tail -n 80

Paste those last ~80 lines (they won’t include your token), and I’ll tell you exactly what it’s unhappy about.

Also: did you hit Apply/Restart in the Control UI config editor? If yes, a brief disconnect is normal — it’s the gateway rebooting. Refresh usually fixes it.

glass cargo
#

PS C:\Users\s_t_w> curl.exe -I "http://127.0.0.1:18789/"
HTTP/1.1 200 OK
X-Content-Type-Options: nosniff
Referrer-Policy: no-referrer
X-Frame-Options: DENY
Content-Security-Policy: default-src 'self'; base-uri 'none'; object-src 'none'; frame-ancestors 'none'; script-src 'self'; style-src 'self' 'unsafe-inline'; img-src 'self' data: https:; font-src 'self'; connect-src 'self' ws: wss:
Content-Type: text/html; charset=utf-8
Cache-Control: no-cache
Date: Sat, 28 Feb 2026 09:11:14 GMT
Connection: keep-alive
Keep-Alive: timeout=5

PS C:\Users\s_t_w>

bright tundraBOT
#

Cool — 200 OK means the tunnel + Control UI are alive. So the 1006 was almost certainly just the gateway/UI reconnecting after the config change.

Do this:

  1. Hard refresh the browser tab (Ctrl+F5).
  2. Go back to Control → Overview → Gateway Access and make sure your token is still set; click Connect if needed.
  3. Then check whether the model switch actually took:
  • In the gateway logs (TrueNAS → Apps → openclaw → Logs), look for the line that used to say agent model: anthropic/... and see if it now says ollama/qwen3:1.7b.

If it still shows Anthropic, paste your current config’s agents.defaults.model + models.providers.ollama blocks (redact any secrets), and we’ll correct it.

Also: if you see “pairing required” again after the refresh, it’s the same one-time approval—just run:

node openclaw.mjs devices approve --latest --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"
glass cargo
#

it worked....should I hit update?

bright tundraBOT
#

If everything’s working now: you don’t have to update immediately, but going from 2026.2.22-2 → 2026.2.26 is a small bump and is usually worth it for bugfixes.

Important for your setup (TrueNAS Apps): don’t bother running openclaw update inside the container as your “main” update method — container files are typically ephemeral. The “real” update is updating the TrueNAS App/image.

Recommended update path (TrueNAS SCALE Apps)

  1. Snapshot/backup first (best practice):
    • Snapshot the dataset/PVC that backs the OpenClaw app (so you can roll back if needed).
  2. TrueNAS UI → Apps → openclaw → Upgrade/Update (wording varies)
  3. After it restarts, verify:
    • Control UI loads again
    • Your token still works
    • Ollama config still points at http://192.168.0.130:30068

When to not update

If you’re about to leave it unattended and it’s finally stable: leave it for now and update when you have 10 minutes to babysit it.

If you tell me whether you see an Upgrade button on the OpenClaw app page (and what it’s called), I’ll tell you the exact click-path in TrueNAS.

glass cargo
#

skip the upgrade...how can we make it permenant connection?

bright tundraBOT
#

If you mean “permanent” as in no more SSH tunnel every time: yes — for LAN use you can make it basically permanent.

Option 1 (LAN, simplest): use *.localhost and bookmark it

You already did the hosts-file trick, so just use this URL directly (no tunnel):

  • http://truenas.localhost:30262/

Why this works: browsers treat *.localhost as a secure context, so you don’t hit the “device identity required” problem you got with http://192.168.0.130:30262.

Then:

  • paste the Gateway Token once in Gateway Access
  • approve pairing once (you already did)
  • after that it should stay connected as long as you don’t clear browser site data / change browser profile

If it ever asks again, it’s usually because cookies/localStorage were cleared.

Option 2 (still using the tunnel, but “always on”)

#

If you prefer the tunnel, you can make it auto-start on Windows login via Task Scheduler, running:

ssh -N -i %USERPROFILE%\.ssh\id_ed25519 -L 18789:192.168.0.130:30262 truenas_admin@192.168.0.130

(But that’s still a tunnel process you keep running.)

Option 3 (best long-term / remote access): HTTPS in front of it

If you want access from anywhere (not just LAN), put the gateway behind HTTPS (reverse proxy or Tailscale Serve). That’s the clean “real” permanent setup.

Before we pick: are you happy with LAN-only, or do you want to reach it when you’re away from home too?

glass cargo
#

LAN access is fine...use that for setups and will use telegram to chat

bright tundraBOT
#

Cool — LAN-only is the easy mode.

Make it “permanent” on your LAN (no SSH tunnel)

1) Use the .localhost hostname URL

Bookmark this and use it going forward:

(That avoids the browser “secure context / device identity” issue you got when using the raw IP.)

2) Don’t clear site data

Your token + device pairing are stored in the browser profile. If you:

  • clear cookies/site data,
  • use Incognito,
  • switch browsers,
    you’ll get asked to pair again.
#

3) Optional: give it a nicer name

In your Windows hosts file you can rename it to something more obvious, still ending in .localhost, e.g.:

192.168.0.130  openclaw.localhost

Then use:

  • http://openclaw.localhost:30262/

Use Telegram for chatting (recommended anyway)

Once your gateway is up, Telegram is the most reliable “permanent” interaction surface (no browser weirdness).

If you tell me whether you already have a Telegram bot token set up, I’ll point you to the exact OpenClaw config bits (channels.telegram...) and how to do pairing/allowFrom safely.

glass cargo
#

not yet...I want to test the chat function / ollama integration

bright tundraBOT
#

To test the chat + confirm it’s actually using Ollama, do this:

1) Test from the Control UI

Open (LAN/no tunnel):

  • http://truenas.localhost:30262/

Go to Chat and send something dead simple like:

  • “Respond with exactly the word OK.”

If you get a reply, basic chat routing is working.

2) Confirm the model in-chat (fastest sanity check)

In the chat box try:

  • /model status (or /model)

You should see it pointing at something like:

  • ollama/qwen3:1.7b
#

(If it still shows anthropic/..., the config didn’t apply to the agent defaults you’re using.)

3) Confirm in gateway logs (authoritative)

On TrueNAS: Apps → openclaw → Logs (container openclaw), send a chat message, and look for lines mentioning ollama (or absence of anthropic calls).

If you prefer shell, run inside the openclaw container:

tail -n 200 /tmp/openclaw/openclaw-*.log | grep -i -E "ollama|anthropic|model" | tail -n 50

You want to see ollama activity and no outbound Anthropic requests.

4) One extra gotcha (tool calling)

Your current model (qwen3:1.7b) will likely “chat” fine, but it may not be strong at tool calling. That’s okay for now if you’re just testing chat. Once you’re happy it’s working, we can switch to a bigger Ollama model for better reliability.

If you paste what /model status shows (just the model id, no tokens), I can confirm you’re truly off Anthropic.

glass cargo
#

before we do that...the powershell tunnels are open...should I shut them first?

bright tundraBOT
#

If you’re going to test via LAN (http://truenas.localhost:30262/), then yes — you can close the SSH tunnel windows. They’re not needed for LAN access anymore.

Just note:

  • Closing the tunnel will disconnect any Control UI tabs that are using http://127.0.0.1:18789/.
  • It won’t hurt the gateway; it only drops the tunnel connection.

So:

  1. Close/stop the tunnel PowerShell (Ctrl+C, then close window)
  2. Open a fresh tab to: http://truenas.localhost:30262/
  3. Test chat there

If anything weird happens, you can always re-open the tunnel later as a fallback.

glass cargo
#

bugger...the truenas loalhost triggered a pair issue...can we re-run the pairing in claw shell?

bright tundraBOT
#

Yep — we can re-run pairing, and this is normal: device pairing is per browser profile + origin. Switching from the tunnel URL (127.0.0.1:18789) to the LAN URL (truenas.localhost:30262) looks like a new device to the gateway, so it asks again once.

Do this:

  1. Keep the browser tab open where it says pairing required (don’t refresh it away yet).

  2. TrueNAS → Apps → openclaw → Shell (container: openclaw)

  3. Run:

node openclaw.mjs devices list --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"

If you see a pending request, approve it:

#
node openclaw.mjs devices approve --latest --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"
  1. Reload the browser page.

If devices list says no entries, the pairing request probably expired or hasn’t been created yet. In that case:

  • refresh the Control UI page until it shows pairing required again,
  • then immediately re-run the devices approve --latest command.

Once approved, you shouldn’t have to do it again unless you clear browser storage or switch browser profiles again.

glass cargo
#

pairing worked...lets get ollama up for chats

bright tundraBOT
#

Nice — now we can validate Ollama is actually being used for chat.

1) Quick chat test in the Control UI

Open:

  • http://truenas.localhost:30262/

In Chat, send:

  • reply with exactly: OK

You should get OK.

2) Confirm the model is Ollama (fastest)

In the same chat, run:

  • /model status (or /model)

You want to see the active/default model as:

  • ollama/qwen3:1.7b (or whatever you set)
#

3) If it’s still trying Anthropic

Then the config didn’t apply to your running defaults. In that case, paste (redacting tokens) just these parts from your config:

  • agents.defaults.model
  • models.providers.ollama

…and I’ll spot what’s off.

4) (Optional) make Ollama more capable

qwen3:1.7b is fine for “hello world” chat, but it’s tiny. If you want better responses/tool reliability, you’ll want a larger Ollama model eventually (e.g. Qwen coder 14B/32B, Llama 3.x bigger, etc.). For now, let’s just confirm it’s working.

Tell me what /model status shows after the OK test.

glass cargo
#

⚠️ Agent failed before reply: Model context window too small (8192 tokens). Minimum is 16000.
Logs: openclaw logs --follow

bright tundraBOT
#

That error means OpenClaw is still seeing your Ollama model as 8k context:

Model context window too small (8192 tokens). Minimum is 16000.

OpenClaw won’t run the agent on a model it believes has <16k context.

Fix: bump the model’s contextWindow in your config to ≥ 16000

In Control UI → Config (Raw JSON), find your Ollama model entry (the one with id: "qwen3:1.7b") and change:

  • contextWindow: 8192 → contextWindow: 16384 (or higher)
  • keep maxTokens something reasonable like 8192 (no math expressions)

Example model entry:

models: {
#
  providers: {
    ollama: {
      baseUrl: "http://192.168.0.130:30068",
      api: "ollama",
      apiKey: "ollama-local",
      models: [
        {
          id: "qwen3:1.7b",
          name: "Qwen3 1.7b",
          reasoning: false,
          input: ["text"],
          cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
          contextWindow: 16384,
          maxTokens: 8192
        }
#
      ]
    }
  }
}

Save/apply, refresh the UI, then try chat again.

If Ollama itself complains after this

If the model really only supports 8k, Ollama will error with something like “requested context exceeds…”. If that happens, switch your primary to a model that supports 16k+ context (you already have llama3.2-vision:latest and qwen3-vl:2b, either can be used for text chat too).

If you paste your current models.providers.ollama.models block (redact nothing sensitive—there shouldn’t be), I’ll tell you exactly what to change and which of your installed models is the safest bet.

glass cargo
bright tundraBOT
#

Yep — http://192.168.0.130:30068 is the right Ollama base URL to use in OpenClaw (native API, no /v1).

The error you hit:

Model context window too small (8192 tokens). Minimum is 16000.

is coming from your OpenClaw model config: you told it the model has contextWindow: 8192, and OpenClaw refuses to run agents under 16k.

Fix: raise contextWindow for your Ollama model entry

In Control UI → Config (Raw JSON), update the model entry you added (example for qwen3:1.7b) to at least 16384. I’d set it to 32768 for Qwen3 (common), and keep maxTokens sane:

models: {
  providers: {
    ollama: {
      baseUrl: "http://192.168.0.130:30068",
#
      api: "ollama",
      apiKey: "ollama-local",
      models: [
        {
          id: "qwen3:1.7b",
          name: "Qwen3 1.7b",
          reasoning: false,
          input: ["text"],
          cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },

          contextWindow: 32768, // >= 16000 required by OpenClaw
          maxTokens: 4096
        }
      ]
    }
#
  }
},

agents: {
  defaults: {
    model: { primary: "ollama/qwen3:1.7b", fallbacks: [] }
  }
}

Save/apply, refresh, then try chat again.

(Optional) Verify what the model actually supports in Ollama

From the TrueNAS shell (anywhere you can run curl):

#
curl -s http://192.168.0.130:30068/api/show -d '{"name":"qwen3:1.7b"}' | tr ',' '\n' | grep -i context

If Ollama complains later that the requested context is too large, we’ll drop contextWindow to whatever it truly supports (or switch to another installed model with a bigger context window).

Once you’ve bumped contextWindow, try your “OK” chat test again and tell me whether it replies.

glass cargo
#

GatewayRequestError: SyntaxError: JSON5: invalid character 'm' at 1:1
Settings
valid
Tag filters:
Add tags ▾
Unsaved changes

bright tundraBOT
#

That error means the config you pasted isn’t a complete JSON5 object anymore.

JSON5: invalid character 'm' at 1:1 almost always happens when the file starts with something like:

models: { ... }

…but is missing the opening { at the very top.

Fix: make sure the config starts with { (and ends with })

In the Control UI Config → Raw JSON editor:

  1. Select all (Ctrl+A) and paste this whole thing as one block (so the first character is {):
#
{
  messages: {
    ackReactionScope: "group-mentions",
  },

  models: {
    providers: {
      ollama: {
        baseUrl: "http://192.168.0.130:30068", // no /v1
        api: "ollama",
        apiKey: "ollama-local",
        models: [
          {
            id: "qwen3:1.7b",
            name: "Qwen3 1.7b",
#
            reasoning: false,
            input: ["text"],
            cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
            contextWindow: 32768,  // must be >= 16000 for OpenClaw
            maxTokens: 4096
          },
        ],
      },
    },
  },

  agents: {
    defaults: {
      maxConcurrent: 4,
      subagents: { maxConcurrent: 8 },
#
      compaction: { mode: "safeguard" },

      model: {
        primary: "ollama/qwen3:1.7b",
        fallbacks: [],
      },
    },
  },
}
  1. Save/apply, refresh, and try chat again.

If you don’t want to overwrite your whole config, then instead make sure you insert the models: {...} block inside your existing { ... }, not as the first line by itself.

If you still get a parse error, paste the first ~10 lines of what’s currently in the Raw JSON editor (redact tokens) and I’ll point out the exact character that’s breaking it.

glass cargo
#

i chated "Hi?" and now it is thinking...is that good?

bright tundraBOT
#

Yes — that’s a good sign. It means:

  • the gateway is connected
  • the agent run actually started
  • it didn’t immediately fail with the 8k/16k context-window check

A couple quick sanity checks while it’s “thinking”:

  1. Give it ~30–60 seconds (local Ollama models can be slow, especially on first run).
  2. If it never replies, check the OpenClaw logs (TrueNAS → Apps → openclaw → Logs) for an Ollama error like “context too large” or “connection refused”.

Fast confirmation that it’s actually using Ollama:

  • in the Control UI chat, run /model status (once it replies), or
  • look in logs for ollama requests and no anthropic calls.

If it’s still “thinking” after 2 minutes, paste the last ~30 log lines around that request (redact nothing except tokens) and I’ll tell you exactly what it’s stuck on.

glass cargo
#

I think ollama is cpu only right now...I do have a 3060 12GB GPU in the truenas that it could share, it was just added today so probably not using it yet...can you help get that running too?

bright tundraBOT
#

Yep — getting Ollama onto the 3060 is totally doable on TrueNAS SCALE, and it’ll make a big difference.

The key thing: on SCALE, Apps only see the GPU if (a) NVIDIA drivers are enabled on the host and (b) the app is granted GPU resources. Also, if you “isolate” the GPU for VMs, Apps can’t use it.

1) Host-side: make sure SCALE exposes the NVIDIA GPU to Apps

In the TrueNAS web UI:

  1. System Settings → Advanced → Isolated GPU Devices
  • Make sure your RTX 3060 is NOT isolated (isolation is for VM passthrough; it hides it from Apps).
  1. Apps → Settings (or Apps configuration/advanced)
  • Enable “Install/Enable NVIDIA drivers” (wording varies)
  • Apply, and reboot if it asks.
  1. Verify on the TrueNAS host shell:
#
nvidia-smi

If nvidia-smi works, the host driver side is good.

2) App-side: give the Ollama app access to the GPU

TrueNAS → Apps → ollama → Edit

Look for something like Resources / GPU / NVIDIA GPU and set:

  • GPU count: 1 (or select the 3060 from a dropdown)

Save / redeploy the app.

3) Confirm Ollama is actually using the GPU

On the TrueNAS host shell, run this in one window:

#
watch -n 1 nvidia-smi

Then in another window, trigger a run via your Ollama API (or just use OpenClaw chat). When the model is generating, you should see GPU utilization / memory usage jump.

(Your OpenClaw→Ollama URL stays the same: http://192.168.0.130:30068.)


If you tell me what you see under Apps → Settings (is there an “Install NVIDIA drivers” toggle?) and whether Isolated GPU Devices currently lists the 3060, I can tell you exactly which switch you need to flip in your UI.

glass cargo
#

openclaw says 'fetch failed'

bright tundraBOT
#

fetch failed is a super-generic error, but in OpenClaw it most often means the gateway tried to call something over HTTP (usually Ollama) and the network request failed (Node’s fetch() throws TypeError: fetch failed on connect/DNS issues).

To nail it down quickly:

1) Where are you seeing “fetch failed”?

  • In the Control UI chat output after you send a message?
  • Or in TrueNAS Apps → openclaw → Logs?

If you can, paste 10–20 log lines around it (redact tokens).

2) Test Ollama reachability from inside the OpenClaw container

TrueNAS → Apps → openclaw → Shell (container openclaw) and run:

curl -v http://192.168.0.130:30068/api/tags
#
  • If this fails (timeout/refused), OpenClaw can’t reach Ollama → we fix networking/port mapping on the Ollama app.
  • If this works (returns JSON), then Ollama is reachable and the “fetch failed” is coming from something else (often a different URL saved in config, or another tool).

3) Confirm OpenClaw is actually pointed at that Ollama URL

In Control UI → Config (raw), verify:

models: { providers: { ollama: { baseUrl: "http://192.168.0.130:30068" } } }

(no /v1, no https)


Send me:

  1. where “fetch failed” shows up (UI vs logs), and
  2. the output of that curl -v .../api/tags from the openclaw container,
#

and I’ll tell you the exact next fix.

glass cargo
#

I see the error in clawbot chat area...logs for clawbot say > 2026-02-28 09:18:38.078343+00:002026-02-28T09:18:38.078Z [gateway] device pairing approved device=d7e058831dedf16b7494a3bd03199c0bb94986fe36863d803c0d3d415b178918 role=operator
2026-02-28 09:18:42.857184+00:002026-02-28T09:18:42.857Z [ws] webchat connected conn=13e80bb7-b789-4ea9-9df4-524eb982b9f1 remote=192.168.0.85 client=openclaw-control-ui webchat vdev
2026-02-28 09:19:24.918275+00:002026-02-28T09:19:24.918Z [ws] webchat disconnected code=1001 reason=n/a conn=13e80bb7-b789-4ea9-9df4-524eb982b9f1
2026-02-28 09:19:24.993916+00:002026-02-28T09:19:24.993Z [ws] webchat connected conn=b86bb64b-bb0f-464b-a440-9954278a307b remote=192.168.0.85 client=openclaw-control-ui webchat vdev
2026-02-28 09:19:33.092122+00:002026-02-28T09:19:33.091Z [agent/embedded] low context window: ollama/qwen3:1.7b ctx=8192 (warn<32000) source=modelsConfig
2026-02-28 09:19:33.092615+00:002026-02-28T09:19:33.092Z [agent/embedded] blocked model (context window too small): ollama/qwen3:1.7b ctx=8192 (min=16000) source=modelsConfig
2026-02-28 09:19:33.093099+00:002026-02-28T09:19:33.093Z [diagnostic] lane task error: lane=main durationMs=22 error="FailoverError: Part 1. 2 to follow

bright tundraBOT
#

Your logs already explain the “fetch failed” in the chat UI — it’s not actually a network fetch to Ollama failing yet. The agent is being blocked before it can run:

blocked model (context window too small): ollama/qwen3:1.7b ctx=8192 (min=16000) source=modelsConfig

So OpenClaw refuses to run the agent with that model config, and the UI ends up showing a generic failure.

Fix: change the model’s contextWindow in your OpenClaw config to >= 16000

In Control UI → Config → Raw JSON find your Ollama model entry for qwen3:1.7b and change:

  • contextWindow: 8192 → contextWindow: 16384 (or 32768)
  • keep maxTokens as a plain number (no * math)

Example:

#
models: {
  providers: {
    ollama: {
      baseUrl: "http://192.168.0.130:30068",
      api: "ollama",
      apiKey: "ollama-local",
      models: [
        {
          id: "qwen3:1.7b",
          name: "Qwen3 1.7b",
          input: ["text"],
          reasoning: false,
          cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
          contextWindow: 16384,
          maxTokens: 4096
#
        }
      ]
    }
  }
},
agents: {
  defaults: {
    model: { primary: "ollama/qwen3:1.7b", fallbacks: [] }
  }
}

Then Save/Apply and refresh Chat.

If you already changed it but logs still say 8192

That means the change didn’t actually get saved/applied (or you edited a different config blob). Re-open the Raw JSON editor and confirm the value is really 16384 where id: "qwen3:1.7b" is.

#

Sanity check (optional): confirm Ollama is reachable (it is)

Your Ollama URL is correct: http://192.168.0.130:30068 (native API, no /v1).

After you bump the contextWindow, try sending “Hi?” again. If it still fails, paste the next few log lines after the “blocked model” line (the “FailoverError: Part 1…” bit) and I’ll tell you what it’s failing over to.

glass cargo
#

it is running now and log says > 2026-02-28 10:37:24.366493+00:002026-02-28T10:37:24.366Z [reload] config change detected; evaluating reload (meta.lastTouchedAt, models.providers.ollama.models)
2026-02-28 10:37:24.366992+00:002026-02-28T10:37:24.366Z [reload] config change applied (dynamic reads: meta.lastTouchedAt, models.providers.ollama.models)
2026-02-28 10:37:28.613209+00:002026-02-28T10:37:28.613Z [gateway] update.run completed actor=openclaw-control-ui device=d7e058831dedf16b7494a3bd03199c0bb94986fe36863d803c0d3d415b178918 ip=192.168.0.85 conn=b86bb64b-bb0f-464b-a440-9954278a307b changedPaths=<n/a> restartReason=update.run status=skipped
2026-02-28 10:37:28.613777+00:002026-02-28T10:37:28.613Z [ws] ⇄ res ✓ update.run 1325ms conn=b86bb64b…307b id=c0ae684f…94fb
2026-02-28 10:38:12.745116+00:002026-02-28T10:38:12.744Z [agent/embedded] low context window: ollama/qwen3:1.7b ctx=16384 (warn<32000) source=modelsConfig

bright tundraBOT
#

Perfect — that’s exactly what we wanted to see.

  • config change applied … models.providers.ollama.models ⇒ your edit really took.
  • ctx=16384 (min=16000) ⇒ OpenClaw will now allow the model to run. The “low context window” line is just a warning (it warns under 32k), not a blocker.

So at this point your Ollama chat path is working.

A couple quick recommendations

  1. If responses feel slow / dumb: qwen3:1.7b is tiny. It’ll run, but it’s not great. With your hardware, consider switching the primary model to something bigger you already have, like:
  • ollama/llama3.2-vision:latest (works for text too)
  • or pull a stronger text model (e.g. qwen2.5-coder:14b / 32b if you have VRAM)
  1. If you start hitting “context too large” errors from Ollama itself, then the model really can’t do 16k in your current Ollama config. In that case we’d either lower the number or set Ollama’s num_ctx appropriately, but don’t change anything until you actually see that error.

If you want, paste one short chat exchange + how long it took, and I’ll suggest a better Ollama model choice for your 3060 12GB.

glass cargo
#

since it appears to be working...can we go to enabling the GPU for ollama...I want to make sure it is working

bright tundraBOT
#

Yep — let’s verify the 3060 is actually being used by Ollama. On TrueNAS SCALE the checklist is basically:

  1. Host sees the GPU + NVIDIA driver is loaded
  2. Ollama App is granted the GPU
  3. Run an inference and watch GPU usage spike

1) Make sure the GPU is NOT isolated (Apps can’t use isolated GPUs)

TrueNAS UI:

  • System Settings → Advanced → Isolated GPU Devices
  • Make sure the RTX 3060 is not selected there.

(If it is selected, unselect it and reboot if prompted.)

2) Make sure NVIDIA drivers are enabled for Apps

TrueNAS UI (wording varies by version):

  • Apps → Settings (or Apps “Advanced Settings”)
  • Enable NVIDIA drivers / GPU support
#
  • Apply, reboot if it asks

Verify on the TrueNAS host

Open a TrueNAS Shell (host shell) and run:

nvidia-smi

If nvidia-smi works and shows the 3060, you’re good on the host side. If not, GPU won’t work in any App yet.

3) Grant the GPU to the Ollama App

TrueNAS UI:

  • Apps → Installed Applications → ollama → Edit
  • Find Resources / GPU (or “NVIDIA GPU”)
  • Assign 1 GPU / select the RTX 3060
  • Save / Redeploy

4) Confirm Ollama is actually using the GPU (best proof)

#

On the TrueNAS host shell, run:

watch -n 1 nvidia-smi

Then trigger an Ollama generation (from any machine, Win10 is fine). Example:

curl.exe http://192.168.0.130:30068/api/generate -H "Content-Type: application/json" -d "{\"model\":\"qwen3:1.7b\",\"prompt\":\"Write a long paragraph about NAS performance tuning.\"}"

While it’s generating, nvidia-smi should show GPU utilization and VRAM usage going up. That’s the “it’s really using it” check.


If you tell me:

  • does nvidia-smi work on the TrueNAS host, and
  • do you see a GPU selector in the ollama app Edit screen,
#

…I can tell you exactly which step is missing in your UI.

glass cargo
#

THere are no isolated GPUs and I can see NVIDIA Corporation GA106 [GeForce RTX 3060 Lite Hash Rate] [0000:01:00.0}

bright tundraBOT
#

Good — that confirms TrueNAS detects the 3060 and it’s not isolated, so you’re halfway there.

Next checks (in order) to get Ollama actually using it:

1) Verify the NVIDIA driver is loaded on the TrueNAS host

Open TrueNAS Shell (host shell, not an app shell) and run:

nvidia-smi
  • If nvidia-smi shows the GPU + driver version → host side is good.
  • If nvidia-smi is “command not found” or errors → you still need to enable/install NVIDIA drivers in TrueNAS Apps settings and reboot.

2) Enable NVIDIA support for Apps (if not already)

TrueNAS UI (SCALE 25.x):

  • Apps → Settings (sometimes a gear icon)
#
  • Look for a toggle like “Install NVIDIA Drivers” / “Enable NVIDIA GPU support”
  • Apply (and reboot if prompted)

This step is what makes the GPU available to Kubernetes Apps.

3) Assign the GPU to the Ollama app

TrueNAS UI:

  • Apps → Installed Applications → ollama → Edit
  • Find Resources / GPU (or “NVIDIA GPU”)
  • Assign 1 GPU (select the 3060)
  • Save / Redeploy

If you don’t see any GPU section in the Ollama app edit screen, it almost always means step (2) isn’t enabled/active yet.

4) Prove it’s using GPU (best test)

On the TrueNAS host shell, run:

#
watch -n 1 nvidia-smi

Then from your Win10 machine, trigger a longer Ollama generation (so it has time to show up on the GPU):

curl.exe http://192.168.0.130:30068/api/generate `
  -H "Content-Type: application/json" `
  -d "{\"model\":\"qwen3:1.7b\",\"prompt\":\"Write 5 paragraphs about how GPUs accelerate transformer inference, with details.\"}"

While that runs, nvidia-smi should show VRAM usage + a process.


Tell me what happens with nvidia-smi on the TrueNAS host (works / doesn’t work), and whether you can see a GPU selector in the Ollama app’s Edit screen. That pins down exactly which step you’re missing.

glass cargo
#

truenas_admin@truenas[~]$ nvidia-smi
Sat Feb 28 02:43:50 2026
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.142 Driver Version: 550.142 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 3060 Off | 00000000:01:00.0 Off | N/A |
| 33% 44C P0 40W / 170W | 1MiB / 12288MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| No running processes found |
+-----------------------------------------------------------------------------------------+
truenas_admin@truenas[~]$

bright tundraBOT
#

That’s perfect: host-side NVIDIA is 100% working (driver + CUDA show up in nvidia-smi). Now the only remaining step is making the Ollama App actually see the GPU.

Next: give the Ollama App the GPU

1) Ensure “GPU support for Apps” is enabled

In TrueNAS SCALE UI, go to Apps → Settings (sometimes a gear icon).

Look for a toggle like:

  • Install/Enable NVIDIA drivers for Apps
  • GPU Support / NVIDIA

Enable it if it isn’t already, then apply (sometimes it prompts for a restart).

2) Assign the GPU to the Ollama app

Go to:

  • Apps → Installed Applications → ollama → Edit
#

Look for a section like Resources → GPUs / NVIDIA GPU and set it to:

  • 1 GPU (select the RTX 3060)

Save / redeploy the app.

If you don’t see any GPU selector in the Ollama app edit screen, it almost always means step (1) isn’t enabled/applied yet.

Verify it’s actually using the GPU (proof, not vibes)

On the TrueNAS host shell, run:

watch -n 1 nvidia-smi

Then trigger an Ollama generation from your Win10 box (make it long so it runs for a bit):

#
curl.exe http://192.168.0.130:30068/api/generate `
  -H "Content-Type: application/json" `
  -d "{\"model\":\"qwen3:1.7b\",\"prompt\":\"Write 5 detailed paragraphs about GPU acceleration for transformer inference.\"}"

While it’s generating, nvidia-smi should show a running process and VRAM usage climbing.


If you tell me whether the Ollama app edit screen has a GPU dropdown/field (and what it’s called), I can guide you to the exact checkbox/field in your UI.

glass cargo
#

Install NVIDIA drivers is already ticked in the APps Setting area

bright tundraBOT
#

Good — host drivers are in place and “Install NVIDIA drivers” for Apps is enabled. The missing piece is almost always: the Ollama app itself isn’t requesting a GPU, so Kubernetes never mounts it into the container.

Next step: assign the RTX 3060 to the Ollama app

In TrueNAS SCALE:

  1. Apps → Installed Applications → ollama → Edit
  2. Look for a section like Resources / GPU / NVIDIA GPU / GPU Configuration
  3. Set it to use 1 GPU (select the RTX 3060)
  4. Save / Redeploy

If you don’t see any GPU picker in the Ollama app edit UI, tell me that — it usually means the specific Ollama chart you installed doesn’t expose GPU resources, and we’ll need to switch to a chart that does (or add the GPU request via “custom” settings).

Verify it’s actually using GPU (proof)

On the TrueNAS host shell:

#
watch -n 1 nvidia-smi

Then trigger a longer generation (Win10 PowerShell):

curl.exe http://192.168.0.130:30068/api/generate `
  -H "Content-Type: application/json" `
  -d "{\"model\":\"qwen3:1.7b\",\"prompt\":\"Write 5 detailed paragraphs about how CUDA accelerates transformer inference.\"}"

While it runs, you should see:

  • a process appear in nvidia-smi
  • VRAM usage go above ~1 MiB
  • GPU util > 0%
#

Quick question

When you edit the Ollama app, do you see a GPU dropdown/field at all? If yes, what’s it called? If no, we’ll take the “chart doesn’t request GPU” route.

glass cargo
#

GPU configuration in the clawbot edit are has GPU configuration. Passthrough is disabled and the it has select nvidia GPU(s) where it lists the single 3060 with a field below it of "Use thiS GPU", it was already enabled

bright tundraBOT
#

That GPU config you’re looking at is for the OpenClaw (clawbot) app. OpenClaw itself doesn’t really benefit from the 3060 — Ollama is the thing that needs GPU passthrough.

1) Make sure you’re editing the Ollama app (not OpenClaw)

TrueNAS SCALE → Apps → Installed Applications → ollama → Edit

You should see a similar GPU configuration section there.

2) In the Ollama app: enable passthrough + select the 3060, then redeploy

In that GPU section:

  • Turn Passthrough = Enabled (if it’s “disabled”, the GPU usually won’t actually be mounted even if it’s selected)
  • Select the RTX 3060 / “Use this GPU”
  • Save / Redeploy the Ollama app

3) Prove it’s using the GPU (best test)

On the TrueNAS host shell, run:

#
watch -n 1 nvidia-smi

Then from your Win10 machine, trigger a longer generation:

curl.exe http://192.168.0.130:30068/api/generate `
  -H "Content-Type: application/json" `
  -d "{\"model\":\"qwen3:1.7b\",\"prompt\":\"Write 5 detailed paragraphs about CUDA accelerating transformer inference.\"}"

While that runs, nvidia-smi should show:

  • a process (often ollama)
  • VRAM usage > a few MiB
  • GPU util > 0%
#

If nvidia-smi still shows “No running processes”

Then the Ollama container still doesn’t have GPU access. Next check is inside the Ollama app shell:

ls -la /dev/nvidia*
  • If /dev/nvidia0 etc. are missing → GPU wasn’t passed into the container (passthrough toggle / redeploy / sometimes a reboot of the Apps stack).
  • If they exist but still no GPU usage → Ollama is running CPU-only for some reason (less common).

Confirm: when you said “Passthrough is disabled”, was that in OpenClaw app edit, or in the Ollama app edit too?

glass cargo
#

I was talking about the ollama edit area

bright tundraBOT
#

Got it. If Passthrough is disabled in the Ollama app, that’s almost certainly why it’s still CPU-only — on SCALE that toggle is what actually mounts the NVIDIA devices / requests nvidia.com/gpu for the pod. The “Use this GPU” checkbox by itself often isn’t enough.

Do this in Apps → ollama → Edit

  1. GPU Configuration
  • Set Passthrough = Enabled
  • Keep your RTX 3060 selected (“Use this GPU”)
  1. Click Save / Update and let the app redeploy.

Verify it’s really using the GPU (proof)

On the TrueNAS host shell:

watch -n 1 nvidia-smi

Then trigger a generation (from Win10 PowerShell):

#
curl.exe http://192.168.0.130:30068/api/generate -H "Content-Type: application/json" -d "{\"model\":\"qwen3:1.7b\",\"prompt\":\"Write 5 long paragraphs about CUDA accelerating transformer inference.\"}"

While it’s generating you should see a process + VRAM usage jump in nvidia-smi.

If it still shows “No running processes”

Open a shell into the ollama app container and run:

ls -la /dev/nvidia* 2>/dev/null || echo "no /dev/nvidia devices"
  • If there are no /dev/nvidia* devices → GPU still isn’t being passed through (toggle didn’t apply / redeploy didn’t happen / sometimes a reboot of the apps service helps).
  • If they exist but still no usage → Ollama is seeing the GPU but not using it; then we’ll look at the Ollama container logs for “cuda”/“no cuda devices found”.

After you enable passthrough + redeploy, tell me what nvidia-smi shows during a generation (even just “VRAM went up / process name”), and we’ll confirm it’s actually on the 3060.

glass cargo
#

I want to use a shared gpu...does it have to be passed through because I wont get stable diffusion on it later...

bright tundraBOT
#

You can use the 3060 for both Ollama and Stable Diffusion later — enabling GPU for the Ollama App does not “burn” the GPU permanently the way VM passthrough/isolation does.

Two different concepts on TrueNAS SCALE:

1) “Isolated GPU Devices” (VM passthrough-style, exclusive)

  • If you isolate the GPU: Apps generally can’t use it.
  • You already confirmed no isolated GPUs → good. Keep it that way if you want to use it for Apps.

2) App “GPU passthrough / Use this GPU” (App gets access to the GPU)

This is just: “give this container permission to use the GPU”.

However: Kubernetes typically treats nvidia.com/gpu = 1 as an exclusive schedulable resource, meaning you often can’t have two Apps both requesting the same single GPU at the same time. Practically that means:

  • You can use the same GPU for Stable Diffusion later,
  • but you may need to stop/redeploy Ollama (or remove its GPU assignment) while SD is running, if TrueNAS won’t schedule both simultaneously.

That’s still “shared” in the sense of not isolated and you can switch it between Apps.

#

What I recommend for your goal

  • Enable GPU for Ollama now.
  • When you install Stable Diffusion later, if TrueNAS complains the GPU is “in use”, just edit Ollama and set GPU to none, then give GPU to the SD app.

How to confirm Ollama is actually using GPU

On the TrueNAS host:

watch -n 1 nvidia-smi

Then run a long generation. If you see VRAM usage jump and a process appear, it’s using the 3060.

If you tell me whether TrueNAS lets you assign the same GPU to two apps at once (it might block it in the UI), I can tell you what to expect when you add Stable Diffusion later.

glass cargo
#

When I try to pass through > ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3/dist-packages/jinja2/environment.py", line 1301, in render
self.environment.handle_exception()
File "/usr/lib/python3/dist-packages/jinja2/environment.py", line 936, in handle_exception
raise rewrite_traceback_stack(source=source)
File "/mnt/.ix-apps/app_configs/ollama/versions/1.1.57/templates/docker-compose.yaml", line 3, in top-level template code
{% set c1 = tpl.add_container(values.consts.ollama_container_name, values.ollama.image_selector) %}
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/.ix-apps/app_configs/ollama/versions/1.1.57/templates/library/base_v2_1_77/render.py", line 49, in add_container
container = Container(self, name, image)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/.ix-apps/app_configs/ollama/versions/1.1.57/templates/library/base_v2_1_77/container.py", line 105, in init
self.deploy: Deploy = Deploy(self._render_instance)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/.ix-apps/app_configs/ollama/versions/1.1.57/templates/library/base_v2_1_77/deploy.py", line 15, in init
self.resources: Resources = Resources(self._render_instance)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/.ix-apps/app_configs/ollama/versions/1.1.57/templates/library/base_v2_1_77/resources.py", line 24, in init
self._auto_add_gpus_from_values()
File "/mnt/.ix-apps/app_configs/ollama/versions/1.1.57/templates/library/base_v2_1_77/resources.py", line 55, in _auto_add_gpus_from_values
raise RenderError(f"Expected [uuid] to be set for GPU in slot [{pci}] in [nvidia_gpu_selection]")
base_v2_1_77.error.RenderError: Expected [uuid] to be set for GPU in slot [0000:01:00.0] in [nvidia_gpu_selection]

bright tundraBOT
#

That stack trace is not an Ollama/CUDA problem yet — it’s the TrueNAS Apps renderer refusing to generate the compose for Ollama because the GPU selection data is missing a required field:

Expected [uuid] to be set for GPU ... in [nvidia_gpu_selection]

So TrueNAS knows the GPU exists (by PCI 0000:01:00.0), but the Apps UI isn’t supplying the GPU UUID when you enable passthrough.

Quick, safe fixes to try (in order)

  1. Re-select the GPU in the Ollama app edit screen
    • Apps → Installed → ollama → Edit
    • GPU configuration:
      • toggle Passthrough off, Save
      • go back in, toggle Passthrough on
      • uncheck/recheck “Use this GPU”
      • Save
        This often forces the UI to repopulate the UUID field.
#
  1. Restart the Apps system / reboot TrueNAS
    Since you “just added” the GPU today, a reboot often makes the Apps GPU inventory fully populate.

    • Reboot TrueNAS, then try enabling passthrough again.
  2. Confirm the GPU UUID exists (so we know what TrueNAS should be using)
    On the TrueNAS host shell:

    nvidia-smi -L
    

    You should see something like:
    GPU 0: ... (UUID: GPU-xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx)

If it still errors after reselect + reboot

Then it’s very likely a TrueNAS SCALE Apps UI/chart bug for that Ollama app version where it’s not carrying the UUID into nvidia_gpu_selection. At that point you have two paths:

  • Preferred: install an Ollama app/chart that exposes GPU correctly on SCALE 25, or wait for an app/chart fix (and report it on the TrueNAS forums with that exact error).
  • Advanced/unsupported: manually editing the generated app values/config under /mnt/.ix-apps/... to inject the UUID (TrueNAS explicitly warns this can break things, so I won’t recommend it as the primary path).
#

If you paste the output of nvidia-smi -L (UUIDs aren’t secret), and tell me whether you’re using the official/community Ollama app (and where it came from), I can tell you the most likely “works with NVIDIA GPU” chart approach for SCALE 25.

glass cargo
#

inside ollama, does it have acpu only image and a cpu + gpu image?

bright tundraBOT
#

For NVIDIA, Ollama does not use a separate “GPU image”. It’s the same container image:

  • CPU-only: ollama/ollama
  • NVIDIA GPU: still ollama/ollama — you just run it with GPU access (e.g. --gpus=all in Docker)

Ollama only has a separate image tag for AMD ROCm:

  • AMD GPU: ollama/ollama:rocm

Source (Ollama’s own docker docs): https://docs.ollama.com/docker

So in your TrueNAS SCALE Apps world, the fix is not “pick a different Ollama image”, it’s “make sure the Ollama app gets the GPU resource/device”.

Given the error you hit earlier:

Expected [uuid] to be set for GPU ... in [nvidia_gpu_selection]

#

…that’s a TrueNAS Apps renderer/chart issue (GPU selection metadata missing UUID), not an Ollama image issue. Usually re-selecting the GPU, restarting the Apps service, or a reboot after adding the GPU makes the UUID populate correctly (you can confirm the UUID exists via nvidia-smi -L on the host).

If you paste your nvidia-smi -L output and tell me whether the Ollama app edit screen shows the GPU UUID anywhere (or just PCI id), I can tell you the most likely next step to get past that UUID render error.

glass cargo
#

restarting truenas

bright tundraBOT
#

Cool — after it comes back up, do this sequence (fast + deterministic):

1) Confirm the GPU UUID is visible to the system

On the TrueNAS host shell:

nvidia-smi -L

You should see something like UUID: GPU-....

2) Confirm Apps NVIDIA support is still enabled

TrueNAS UI → Apps → Settings → “Install NVIDIA drivers” = enabled.

3) Retry enabling GPU for the Ollama app

TrueNAS UI → Apps → Installed → ollama → Edit → GPU configuration

  • toggle Passthrough ON
  • select the 3060 (“Use this GPU”)
  • Save / Redeploy
#

If it still throws the same “Expected [uuid]” render error, paste:

  • the output of nvidia-smi -L
  • and (if possible) the exact GPU section values shown in the Ollama app edit screen (PCI vs UUID)

That’ll tell us whether it’s still failing to populate UUIDs (chart/UI issue) vs something else.

glass cargo
#

Last login: Sat Feb 28 02:43:43 PST 2026 on pts/16
truenas_admin@truenas[~]$ nvidia-smi -L
GPU 0: NVIDIA GeForce RTX 3060 (UUID: GPU-78cfb43e-3f3e-f011-1ee3-77a37c375381)
truenas_admin@truenas[~]$

bright tundraBOT
#

Awesome — now TrueNAS is definitely seeing the GPU UUID:

UUID: GPU-78cfb43e-3f3e-f011-1ee3-77a37c375381

That earlier render error (“Expected [uuid] to be set…”) usually happens when the Ollama app’s saved GPU selection was created before the UUID was available, so it’s stuck with a stale “PCI-only” entry.

Try this (clears the stale GPU selection and re-adds it)

A) Clear GPU selection completely

TrueNAS UI → Apps → Installed → ollama → Edit → GPU configuration

  • Set Passthrough: Disabled
  • Uncheck/clear the GPU (so it’s using no GPU)
  • Save / Update (let it redeploy)

B) Re-enable GPU fresh

Go back to Edit again:

  • Set Passthrough: Enabled
#
  • Select the 3060 (“Use this GPU”)
  • Save / Update

This forces TrueNAS to re-generate nvidia_gpu_selection with the UUID populated.

If it STILL throws the same UUID render error

At that point it’s almost certainly a chart/UI bug in the Ollama app version you installed. The pragmatic fix is:

  • Uninstall + reinstall the Ollama app (making sure you keep the dataset/storage that holds /root/.ollama so you don’t lose models), then enable GPU during install/edit.

Verify GPU is actually being used (after it deploys)

On TrueNAS host:

watch -n 1 nvidia-smi

Then trigger a long generation; you should see VRAM usage and a process appear.

#

Tell me what happens when you do steps A → B (does it deploy, or does it still error). If it errors again, paste the exact error line (same as before is fine) and I’ll steer you to the clean reinstall approach.

glass cargo
#

pass through works without errors but when I select use this gpu, this error occurs > ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3/dist-packages/jinja2/environment.py", line 1301, in render
self.environment.handle_exception()
File "/usr/lib/python3/dist-packages/jinja2/environment.py", line 936, in handle_exception
raise rewrite_traceback_stack(source=source)
File "/mnt/.ix-apps/app_configs/ollama/versions/1.1.57/templates/docker-compose.yaml", line 3, in top-level template code
{% set c1 = tpl.add_container(values.consts.ollama_container_name, values.ollama.image_selector) %}
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/.ix-apps/app_configs/ollama/versions/1.1.57/templates/library/base_v2_1_77/render.py", line 49, in add_container
container = Container(self, name, image)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/.ix-apps/app_configs/ollama/versions/1.1.57/templates/library/base_v2_1_77/container.py", line 105, in init
self.deploy: Deploy = Deploy(self._render_instance)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/.ix-apps/app_configs/ollama/versions/1.1.57/templates/library/base_v2_1_77/deploy.py", line 15, in init
self.resources: Resources = Resources(self._render_instance)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/.ix-apps/app_configs/ollama/versions/1.1.57/templates/library/base_v2_1_77/resources.py", line 24, in init
self._auto_add_gpus_from_values()
File "/mnt/.ix-apps/app_configs/ollama/versions/1.1.57/templates/library/base_v2_1_77/resources.py", line 55, in _auto_add_gpus_from_values
raise RenderError(f"Expected [uuid] to be set for GPU in slot [{pci}] in [nvidia_gpu_selection]")
base_v2_1_77.error.RenderError: Expected [uuid] to be set for GPU in slot [0000:01:00.0] in [nvidia_gpu_selection]

bright tundraBOT
#

That error is a known TrueNAS SCALE Apps bug (you’ll see it referenced as “Expected [uuid] … in [nvidia_gpu_selection]” / NAS-132086). Your system does know the GPU UUID now (nvidia-smi -L shows it), but the Apps UI is still trying to save the GPU selection without the UUID, so the chart renderer blows up.

Good news: you can usually fix it cleanly via TrueNAS’ own API (midclt) by setting the missing UUID in the app’s GPU selection.

1) Confirm the app name TrueNAS uses

On the TrueNAS host shell:

midclt call app.query | grep -i '"name"' | head

You’re looking for something like "name": "ollama".

2) Force-set the GPU UUID for the Ollama app (supported workaround)

Use your PCI slot + UUID:

  • PCI: 0000:01:00.0
  • UUID: GPU-78cfb43e-3f3e-f011-1ee3-77a37c375381
#

Run (replace ollama if your app name differs):

midclt call -j app.update ollama '{
  "values": {
    "resources": {
      "gpus": {
        "use_all_gpus": false,
        "nvidia_gpu_selection": {
          "0000:01:00.0": {
            "use_gpu": true,
            "uuid": "GPU-78cfb43e-3f3e-f011-1ee3-77a37c375381"
          }
        }
      }
    }
  }
#
}'

Then go back to the TrueNAS UI and the Ollama app should render/update without that UUID error.

(You can also get the “official” mapping via midclt call app.gpu_choices, but you already have the UUID from nvidia-smi -L.)

3) Verify Ollama is actually using the GPU

On the TrueNAS host:

watch -n 1 nvidia-smi

Then trigger a longer generation and see VRAM / GPU util rise.

If midclt app.update returns an error, paste that one error line and the exact app name from app.query, and I’ll adjust the payload to match what your chart expects.

glass cargo
#

truenas_admin@truenas[~]$ midclt call app.query | grep -i '"name"' | head
[{"name": "ollama", "id": "ollama", "state": "RUNNING", "upgrade_available": true, "latest_version": "1.2.8", "image_updates_available": false, "custom_app": false, "migrated": false, "human_version": "0.15.4_1.1.57", "version": "1.1.57", "metadata": {"annotations": {"min_scale_version": "24.10.2.2"}, "app_version": "0.15.4", "capabilities": [], "categories": ["ai"], "changelog_url": "https://github.com/ollama/ollama/releases", "date_added": "2024-10-24", "description": "Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.", "home": "https://github.com/ollama/ollama", "host_mounts": [], "icon": "https://media.sys.truenas.net/apps/ollama/icons/icon.png", "keywords": ["ai", "llm"], "lib_version": "2.1.77", "lib_version_hash": "1837f8e69ae1adc313330c3b1c2615e9b4d03c5459d657a5898bae78090f8195", "maintainers": [{"email": "dev@truenas.com", "name": "truenas", "url": "https://www.truenas.com/"}], "name": "ollama", "run_as_context": [{"description": "Container [ollama] runs as root user and group.", "gid": 0, "group_name": "Host group is [root]", "uid": 0, "user_name": "Host user is [root]"}],

bright tundraBOT
#

Yep — this is a TrueNAS SCALE Apps bug (the “Expected [uuid] … in [nvidia_gpu_selection]” renderer crash). Your host has the UUID now, but the Apps UI is still trying to save the GPU selection without it.

Workaround is to set the missing UUID via the official TrueNAS API (midclt), then the app will redeploy with GPU enabled.

1) (Optional) See what TrueNAS thinks the GPU choices are

On the TrueNAS host shell:

midclt call app.gpu_choices

(If you have jq: midclt call app.gpu_choices | jq)

2) Force the UUID into the Ollama app’s GPU selection

You already have:

  • PCI slot: 0000:01:00.0
  • UUID: GPU-78cfb43e-3f3e-f011-1ee3-77a37c375381

Run:

#
midclt call -job app.update ollama '{
  "values": {
    "resources": {
      "gpus": {
        "use_all_gpus": false,
        "nvidia_gpu_selection": {
          "0000:01:00.0": {
            "use_gpu": true,
            "uuid": "GPU-78cfb43e-3f3e-f011-1ee3-77a37c375381"
          }
        }
      }
    }
  }
}'
#

This will redeploy the Ollama app.

3) Prove Ollama is actually using the 3060

On the TrueNAS host:

watch -n 1 nvidia-smi

Then trigger a longer generation (from your Win10 box) and watch VRAM/util go up:

curl.exe http://192.168.0.130:30068/api/generate -H "Content-Type: application/json" -d "{\"model\":\"qwen3:1.7b\",\"prompt\":\"Write 5 long paragraphs about CUDA accelerating transformer inference.\"}"

If midclt call -job app.update ... returns an error/job failure, paste the job error text and I’ll adjust the payload to whatever the Ollama chart expects on your SCALE build.

glass cargo
#

truenas_admin@truenas[~]$ midclt call app.gpu_choices
{"0000:01:00.0": {"vendor": "NVIDIA", "description": "NVIDIA GeForce RTX 3060", "error": null, "vendor_specific_config": {"uuid": "GPU-78cfb43e-3f3e-f011-1ee3-77a37c375381"}, "gpu_details": {"addr": {"pci_slot": "0000:01:00.0", "domain": "0000", "bus": "01", "slot": "00"}, "description": "NVIDIA Corporation GA106 [GeForce RTX 3060 Lite Hash Rate]", "devices": [{"pci_id": "10DE:2504", "pci_slot": "0000:01:00.0", "vm_pci_slot": "pci_0000_01_00_0"}, {"pci_id": "10DE:228E", "pci_slot": "0000:01:00.1", "vm_pci_slot": "pci_0000_01_00_1"}], "vendor": "NVIDIA", "uses_system_critical_devices": false, "critical_reason": null, "available_to_host": true}, "pci_slot": "0000:01:00.0"}, "0000:10:00.0": {"vendor": "AMD", "description": "Advanced Micro Devices, Inc. [AMD/ATI] Cezanne [Radeon Vega Series / Radeon Vega Mobile Series]", "error": null, "vendor_specific_config": {}, "gpu_details": {"addr": {"pci_slot": "0000:10:00.0", "domain": "0000", "bus": "10", "slot": "00"}, "description": "Advanced Micro Devices, Inc. [AMD/ATI] Cezanne [Radeon Vega Series / Radeon Vega Mobile Series]", "devices": [{"pci_id": "1002:1638", "pci_slot": "0000:10:00.0", "vm_pci_slot": "pci_0000_10_00_0"}, {"pci_id": "1002:1637", "pci_slot": "0000:10:00.1", "vm_pci_slot": "pci_0000_10_00_1"}, {"pci_id": "1022:15DF", "pci_slot": "0000:10:00.2", "vm_pci_slot": "pci_0000_10_00_2"}, {"pci_id": "1022:1639", "pci_slot": "0000:10:00.3", "vm_pci_slot": "pci_0000_10_00_3"}, {"pci_id": "1022:1639", "pci_slot": "0000:10:00.4", "vm_pci_slot": "pci_0000_10_00_4"}, {"pci_id": "1022:15E3", "pci_slot": "0000:10:00.6", "vm_pci_slot": "pci_0000_10_00_6"}], "vendor": "AMD", "uses_system_critical_devices": false, "critical_reason": null, "available_to_host": true}, "pci_slot": "0000:10:00.0"}}
truenas_admin@truenas[~]$

bright tundraBOT
#

Perfect — app.gpu_choices is exactly what we needed, and it clearly contains the UUID for the 3060:

  • PCI: 0000:01:00.0
  • UUID: GPU-78cfb43e-3f3e-f011-1ee3-77a37c375381

That means the host knows the UUID, but the Apps UI/chart is failing to include it when you tick “Use this GPU”, causing the render error. The workaround is to set the GPU selection via midclt app.update (so the UUID is present).

Apply the workaround (Ollama app)

Run this on the TrueNAS host shell:

midclt call -job app.update ollama '{
  "values": {
    "resources": {
      "gpus": {
        "use_all_gpus": false,
#
        "nvidia_gpu_selection": {
          "0000:01:00.0": {
            "use_gpu": true,
            "uuid": "GPU-78cfb43e-3f3e-f011-1ee3-77a37c375381"
          }
        }
      }
    }
  }
}'

If the job completes successfully, the app should redeploy and the UI should stop throwing the “Expected [uuid]” error when GPU is selected.

Verify Ollama is actually using the 3060

On the TrueNAS host:

#
watch -n 1 nvidia-smi

Then trigger a long generation (from Win10):

curl.exe http://192.168.0.130:30068/api/generate -H "Content-Type: application/json" -d "{\"model\":\"qwen3:1.7b\",\"prompt\":\"Write 5 long paragraphs about CUDA accelerating transformer inference.\"}"

You should see a process + VRAM usage jump in nvidia-smi.

One note on “shared GPU”

This is not VM isolation (so you can still use the GPU for Stable Diffusion later). But TrueNAS Apps/Kubernetes often treats nvidia.com/gpu=1 as an exclusive resource, so you may need to stop/reconfigure one app if you want the other to use the GPU at the same time.

If midclt ... app.update returns an error, paste just the job error output and we’ll adjust the payload to match what that Ollama chart expects on your SCALE build.

glass cargo
#

truenas_admin@truenas[~]$ midclt call -job app.update ollama '{
"values": {
"resources": {
"gpus": {
"use_all_gpus": false,
"nvidia_gpu_selection": {
"0000:01:00.0": {
"use_gpu": true,
"uuid": "GPU-78cfb43e-3f3e-f011-1ee3-77a37c375381"
}
}
}
}
}
}'
usage: midclt [-h] [-q] [-u URI] [-U USERNAME] [-P PASSWORD] [-K API_KEY] [-t TIMEOUT] {call,ping,waitready,subscribe} ...
midclt: error: unrecognized arguments: -ob
truenas_admin@truenas[~]$

bright tundraBOT
#

That error is just the flag syntax — your midclt is interpreting -job as -j ob (so it complains about -ob). On SCALE, the “run as job / wait” flag is -j (single letter), not -job.

Run the same update again, but with -j:

midclt call -j app.update ollama '{
  "values": {
    "resources": {
      "gpus": {
        "use_all_gpus": false,
        "nvidia_gpu_selection": {
          "0000:01:00.0": {
            "use_gpu": true,
            "uuid": "GPU-78cfb43e-3f3e-f011-1ee3-77a37c375381"
          }
        }
#
      }
    }
  }
}'

If for some reason your build doesn’t support -j, run it without the job flag:

midclt call app.update ollama '{
  "values": {
    "resources": {
      "gpus": {
        "use_all_gpus": false,
        "nvidia_gpu_selection": {
#
          "0000:01:00.0": {
            "use_gpu": true,
            "uuid": "GPU-78cfb43e-3f3e-f011-1ee3-77a37c375381"
          }
        }
      }
    }
  }
}'

After it applies: prove GPU use

On the TrueNAS host:

#
watch -n 1 nvidia-smi

Then trigger an Ollama generate; you should see a process + VRAM usage jump while it runs.

If the app.update call returns an error (different from the flag issue), paste that error output and I’ll adjust the payload to match the Ollama chart’s exact resources.gpus schema on your SCALE version.

glass cargo
#

truenas_admin@truenas[~]$ midclt call -j app.update ollama '{
"values": {
"resources": {
"gpus": {
"use_all_gpus": false,
"nvidia_gpu_selection": {
"0000:01:00.0": {
"use_gpu": true,
"uuid": "GPU-78cfb43e-3f3e-f011-1ee3-77a37c375381"
}
}
}
}
}
}'
Status: Update completed for 'ollama'
Total Progress: [########################################] 100.00%Total Progress: [########################################] 100.00%
{"name": "ollama", "id": "ollama", "active_workloads": {"containers": 1, "used_ports": [{"container_port": 30068, "protocol": "tcp", "host_ports": [{"host_port": 30068, "host_ip": "0.0.0.0"}, {"host_port": 30068, "host_ip": "::"}]}], "container_details": [{"service_name": "ollama", "image":

bright tundraBOT
#

Hell yes — that means the update went through and the Ollama app redeployed with the GPU UUID properly set. You’ve basically beaten the TrueNAS bug.

Now let’s prove it’s actually using the 3060:

1) Watch GPU usage on the TrueNAS host

In the TrueNAS shell, run:

watch -n 1 nvidia-smi

Leave that running.

2) Trigger an Ollama generation (from Win10)

In Windows PowerShell:

#
curl.exe http://192.168.0.130:30068/api/generate `
  -H "Content-Type: application/json" `
  -d "{\"model\":\"qwen3:1.7b\",\"prompt\":\"Write 5 detailed paragraphs about NAS tuning and ZFS performance.\"}"

While it’s generating, nvidia-smi should show:

  • a running process (often ollama)
  • VRAM usage climbing above a few MiB
  • GPU-Util > 0%

3) If you still see “No running processes”

Then the container still isn’t actually seeing /dev/nvidia*. Next check:

TrueNAS → Apps → ollama → Shell, run:

#
ls -la /dev/nvidia* 2>/dev/null || echo "no /dev/nvidia devices"

But I expect you’ll see it light up now.

Reply with what nvidia-smi shows during the generate (VRAM usage / process name) and we’ll confirm it’s truly GPU-backed.

glass cargo
#

PS C:\Users\s_t_w> curl.exe http://192.168.0.130:30068/api/generate `

-H "Content-Type: application/json" `
-d "{"model":"qwen3:1.7b","prompt":"Write 5 detailed paragraphs about NAS tuning and ZFS performance."}"
{"error":"invalid character '\\' looking for beginning of object key string"}curl: (3) URL rejected: Port number was not a decimal number between 0 and 65535
curl: (7) Failed to connect to 0.0.0.5 port 80 after 0 ms: Could not connect to server
curl: (6) Could not resolve host: detailed
curl: (6) Could not resolve host: paragraphs
curl: (6) Could not resolve host: about

bright tundraBOT
#

That blew up because PowerShell line-continuation with backticks is super fragile (the backtick must be the very last character on the line — no trailing spaces). It ended up sending garbage / splitting the command into multiple commands, hence the weird “could not resolve host: detailed paragraphs …” errors.

Use one of these copy/paste-safe commands instead.

Option A (recommended on Windows): Invoke-RestMethod

$body = @{
  model  = "qwen3:1.7b"
  prompt = "Write 5 detailed paragraphs about NAS tuning and ZFS performance."
} | ConvertTo-Json

Invoke-RestMethod -Uri "http://192.168.0.130:30068/api/generate" -Method Post -ContentType "application/json" -Body $body

Option B: curl.exe on one line (PowerShell-safe)

#
curl.exe -s -X POST "http://192.168.0.130:30068/api/generate" -H "Content-Type: application/json" --data '{"model":"qwen3:1.7b","prompt":"Write 5 detailed paragraphs about NAS tuning and ZFS performance."}'

Prove GPU usage

On the TrueNAS host shell, keep this running:

watch -n 1 nvidia-smi

Then run Option A or B. During generation you should see VRAM usage jump and a process appear.

If you run the request and nvidia-smi still shows “No running processes”, paste what nvidia-smi shows while the request is running and we’ll check inside the Ollama container for /dev/nvidia*.

glass cargo
#

I have reset truenas a few times and powershell is new so do we need to ssh?

bright tundraBOT
#

No — you don’t need SSH for the Windows → Ollama test. SSH was only for the OpenClaw Control UI secure-context/pairing mess earlier.

For the GPU check you just need:

  1. a TrueNAS host shell (from the TrueNAS web UI is fine) to run nvidia-smi
  2. Windows PowerShell to send one HTTP POST to Ollama

Step 1 (TrueNAS): watch the GPU

In TrueNAS web UI → Shell, run:

watch -n 1 nvidia-smi

Step 2 (Windows): send a request to Ollama (no SSH)

In Windows PowerShell, run this (copy/paste as-is):

#
$body = @{ model="qwen3:1.7b"; prompt="Write 5 detailed paragraphs about NAS tuning and ZFS performance." } | ConvertTo-Json
Invoke-RestMethod -Uri "http://192.168.0.130:30068/api/generate" -Method Post -ContentType "application/json" -Body $body

While that’s running, look at the nvidia-smi screen:

  • VRAM should increase
  • a process should appear
  • GPU utilization should go above 0%

If you still see no processes in nvidia-smi during the request, tell me what the Invoke-RestMethod call returns (success vs error), and we’ll check inside the Ollama app container whether /dev/nvidia* is present.

glass cargo
#

I also cannot get clawbot to open properly as it has pairing issues again 🙁

bright tundraBOT
#

Yep — that’s normal if anything changed that makes the browser look like a “new device” (different URL/origin like 127.0.0.1 vs truenas.localhost, different browser/profile, cleared site data, etc.). You can just re-pair it from the TrueNAS app shell again.

Re-run pairing (fast)

  1. On your Win10 browser, open the one URL you want to stick with:

Leave the tab open where it says pairing required.

  1. TrueNAS UI → Apps → openclaw → Shell → container: openclaw

Run:

node openclaw.mjs devices approve --latest --url ws://127.0.0.1:30262 --token "$OPENCLAW_GATEWAY_TOKEN"
  1. Refresh the browser tab.
#

If it says “no pending requests”, refresh the Control UI once (to recreate the pending request) and immediately rerun the approve command.

How to make it stop happening

  • Always use the same origin: http://truenas.localhost:30262/ (don’t mix with http://127.0.0.1:18789/ tunnel URL)
  • Don’t use Incognito / don’t clear site data for that origin

If you notice it asks for pairing after every TrueNAS reboot, tell me — that usually means the OpenClaw state dir inside the app isn’t persisting, and we should fix the app storage mapping.

glass cargo
#

the truenas local host worked

bright tundraBOT
#

Nice — stick with http://truenas.localhost:30262/ and you’ll have way fewer “pairing” surprises.

Two quick tips so it stays stable:

  1. Always use that same URL/origin (don’t hop back to the SSH tunnel URL 127.0.0.1:18789 unless you have to).
  2. Don’t clear browser site data for truenas.localhost (pairing + token live there).

Now, back to the GPU verification (no SSH needed)

On TrueNAS host shell:

watch -n 1 nvidia-smi

On Windows PowerShell (one-liner, copy/paste):

$body = @{ model="qwen3:1.7b"; prompt="Write 5 detailed paragraphs about NAS tuning and ZFS performance." } | ConvertTo-Json
#
Invoke-RestMethod -Uri "http://192.168.0.130:30068/api/generate" -Method Post -ContentType "application/json" -Body $body

While it’s generating, tell me what you see in nvidia-smi:

  • VRAM usage jump? (e.g. from 1 MiB to hundreds/thousands)
  • Any process listed?

That’s the definitive “GPU is working” proof.

glass cargo
#

Every 1.0s: nvidia-smi truenas: Sat Feb 28 03:33:53 2026

Sat Feb 28 03:33:53 2026
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.142 Driver Version: 550.142 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 3060 Off | 00000000:01:00.0 Off | N/A |
| 42% 55C P2 42W / 170W | 1802MiB / 12288MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 38662 C /usr/bin/ollama 1796MiB |
+-----------------------------------------------------------------------------------------+

bright tundraBOT
#

That’s it — GPU is working.

You’ve got:

  • /usr/bin/ollama showing up as a GPU process
  • ~1.8 GB VRAM in use

So Ollama is definitely running on the 3060 now. GPU-Util being 0% in that exact snapshot is normal if it was between tokens/idle for a moment — the process + VRAM allocation is the key proof. If you watch while it’s actively generating, you should see GPU-Util bounce up.

Next quick improvement (optional)

If you want better performance/quality than qwen3:1.7b, consider moving to a bigger model once you’re comfortable. With a 3060 12GB, common sweet spots are in the ~7B–14B range (depending on quantization), but we can pick based on what you actually want (chat vs coding vs vision).

If this solved your original issue, please mark the solution in the thread (right‑click the solution message → Apps → ✅ Mark Solution).

glass cargo
#

lets do a openclaw test chat

bright tundraBOT
#

Cool — quickest “is OpenClaw really using Ollama?” test:

  1. Open: http://truenas.localhost:30262/
  2. In Chat, send this exactly:

    Reply with exactly: OK

If that works, we’re good.

Then send:

  • /model status

You should see it using something like ollama/qwen3:1.7b.

If it doesn’t reply (or tries Anthropic), paste the last ~20 lines from the OpenClaw app logs right after you hit send.

glass cargo
#

it said Hello! I'm [Your Name], an evolving assistant aimed at being helpful and genuine. How can I assist you today?
(default model: ollama/qwen3:1.7b)

bright tundraBOT
#

Perfect — that confirms two important things:

  • OpenClaw is replying normally
  • It’s using Ollama (default model: ollama/qwen3:1.7b), not Anthropic

If you want a slightly more “real” test, try:

  • “Summarize what we set up today in 5 bullet points.”
  • “What’s 37 * 19?” (quick sanity)
  • “Write a short TrueNAS troubleshooting checklist for OpenClaw + Ollama.”

And if the answers feel too lightweight, that’s just the 1.7B model being tiny — we can switch you to a stronger Ollama model next now that GPU is confirmed working.

glass cargo
#

The result of 37 multiplied by 19 is 703.

If you have any other questions, feel free to ask! 🧠

bright tundraBOT
#

703 is correct — and that reply you pasted confirms the whole stack is working end-to-end (OpenClaw → Ollama), with default model: ollama/qwen3:1.7b.

If you want the chat to feel less “toy-ish”, the next step is simply: use a bigger Ollama model (your 3060 is working now, so you can).

From your installed models, the easiest upgrade is switching the primary model to one of the larger ones you already have (e.g. llama3.2-vision:latest also works fine for plain text chat).

To do that, in your OpenClaw config change just this part:

agents: {
  defaults: {
    model: { primary: "ollama/llama3.2-vision:latest", fallbacks: [] }
  }
}

…and add a corresponding entry under models.providers.ollama.models (same shape as your qwen3 entry, but with id: "llama3.2-vision:latest" and a contextWindow ≥ 16000).

#

If you want, paste your current models.providers.ollama.models block and I’ll rewrite it with both models (so you can swap without breaking validation).

Also, if this thread fixed it for you, please right‑click the solution message → Apps → ✅ Mark Solution so Answer Overflow indexes it for the next person.

glass cargo
bright tundraBOT
#

That error is coming from Ollama, not OpenClaw:

llama3.2-vision:latest does not support tools

OpenClaw always sends tool definitions (even for “normal chat”), so the primary model must be tool-capable in Ollama. llama3.2-vision:latest isn’t, so it’ll 400 every time.

What to do

Option A (quick): switch back to a tool-capable model you already have

You already confirmed this works:

  • ollama/qwen3:1.7b

You can also try your other installed model and see if it supports tools:

  • qwen3-vl:2b might (depends on how Ollama reports it)

Option B (better): pull a stronger tool-capable Ollama model

Pick something bigger than 1.7B (7B/14B-ish is usually the sweet spot on a 3060 12GB depending on quantization), but make sure it supports tools.

#

How to check “supports tools” (authoritative)

Run this against your Ollama (from any shell that can curl it):

curl -s http://192.168.0.130:30068/api/show -d '{"name":"llama3.2-vision:latest"}' | grep -i tools
curl -s http://192.168.0.130:30068/api/show -d '{"name":"qwen3:1.7b"}' | grep -i tools
curl -s http://192.168.0.130:30068/api/show -d '{"name":"qwen3-vl:2b"}' | grep -i tools

If the api/show output indicates tools support, that model is safe to use as OpenClaw’s primary. If not, OpenClaw will keep failing like you saw.

Then update OpenClaw config

Set:

agents: { defaults: { model: { primary: "ollama/<TOOL_CAPABLE_MODEL_ID>", fallbacks: [] } } }
#

(And keep contextWindow >= 16000 for whatever model you choose.)

If you paste the output of:

  • ollama list
  • and curl .../api/show for the model you want to use (you can paste the whole JSON),
    I’ll tell you which of your installed models is tool-capable and give you the exact OpenClaw config entry for it.
glass cargo
#

perhaps vision models are not support?

bright tundraBOT
#

Not quite “vision isn’t supported” — it’s that OpenClaw requires tool-calling, and some Ollama models (including some vision ones) don’t support tools in Ollama’s API.

So:

  • Vision models can be used in OpenClaw only if the specific Ollama model reports tools support.
  • llama3.2-vision:latest specifically does not support tools (Ollama told you that), so it can’t be your OpenClaw primary model.

What to do

  1. Keep your primary on a tool-capable model (like your qwen3:1.7b).
  2. If you want “better than 1.7b”, pull a bigger tool-capable model.

How to check tool support (fast)

Run (from TrueNAS shell):

curl -s http://192.168.0.130:30068/api/show -d '{"name":"qwen3-vl:2b"}' | grep -i tools
#
curl -s http://192.168.0.130:30068/api/show -d '{"name":"llama3.2-vision:latest"}' | grep -i tools

If it shows tools support → safe for OpenClaw primary. If not → it’ll fail.

If you paste your ollama list output, I’ll tell you which of your installed models are likely tool-capable and suggest the best “next step up” for a 3060 12GB.

glass cargo
#

ok...recommend an ollama model that will fit in the 3060 12GB VRAM and is compaitable with openclaw

bright tundraBOT
#

On a 3060 12GB, the “sweet spot” for OpenClaw + Ollama is usually:

  • 7B–8B instruct models at Q4 quantization (fast, fits comfortably)
  • 13B–14B instruct/coder at Q4 (often fits, slower; some will be tight depending on context size)

The two hard requirements for OpenClaw are:

  1. Tool support (Ollama must say the model “supports tools”)
  2. Context window ≥ 16000 (OpenClaw will block anything smaller)

How to pick a compatible model (without guessing)

For any candidate model you’re considering, run on TrueNAS:

curl -s http://192.168.0.130:30068/api/show -d '{"name":"MODEL_NAME"}' | grep -i tools
#

If you get something that indicates tools/capabilities include tools, it’s compatible. If Ollama says “does not support tools”, it won’t work as OpenClaw’s primary (like you saw with llama3.2-vision).

Then, in OpenClaw config, make sure that model’s entry has:

  • contextWindow: 16384 (or higher)
  • and set agents.defaults.model.primary to ollama/MODEL_NAME

What I’d do on your hardware

Start with a tool-capable 7B/8B instruct model at Q4_K_M. Once that’s stable, try a tool-capable 14B if you want better answers (watch nvidia-smi VRAM while it runs).

If you want, paste your ollama list output (model names only) and I’ll tell you which of your currently installed ones are most likely to be tool-capable + a good fit for 12GB.

glass cargo
#

say we pick > 7B–8B instruct models at Q4 quantization (fast, fits comfortably). how do I get it installed?

bright tundraBOT
#

To “install” a model in Ollama you just pull it, then point OpenClaw at it.

1) Pull a model (on the TrueNAS host or in the Ollama app shell)

Example (pick one model name and pull it):

ollama pull <model>

You can do this from:

  • TrueNAS Shell (host), or
  • Apps → ollama → Shell

To see what you already have:

ollama list
#

2) Check it supports tools (required for OpenClaw)

After pulling:

curl -s http://192.168.0.130:30068/api/show -d '{"name":"<model>"}' | grep -i tools

If it indicates tools support, you’re good.

3) Point OpenClaw at it

In OpenClaw config:

  • add it under models.providers.ollama.models with contextWindow >= 16384
  • set:
agents: { defaults: { model: { primary: "ollama/<model>", fallbacks: [] } } }
#

Quick question so I don’t suggest the wrong tag

Do you want a general chat model, or a coding-heavy model?

If you paste the output of ollama list, I can suggest the best 7B/8B option and give you the exact ollama pull ... command + the exact OpenClaw config block for it.

glass cargo
#

lets use qwen3:8b

bright tundraBOT
#

Cool — qwen3:8b is a solid next step on a 3060 12GB.

1) Pull the model into Ollama

Run this on the TrueNAS host shell (or Apps → ollama → Shell):

ollama pull qwen3:8b

Then confirm it’s installed:

ollama list | grep qwen3

2) Confirm it supports tools (required for OpenClaw)

OpenClaw will fail if Ollama says “does not support tools”, so check:

#
curl -s http://192.168.0.130:30068/api/show -d '{"name":"qwen3:8b"}' | grep -i tools

If this shows something indicating tools are supported → good.
If it shows nothing (or you later get the “does not support tools” 400), we’ll pick a different tag/model that is tool-capable.

3) Add it to OpenClaw config + switch primary model

Because you have an explicit models.providers.ollama.models list, you must add qwen3:8b there too.

In Control UI → Config → Raw JSON, add a second model entry and switch primary:

models: {
  providers: {
    ollama: {
#
      baseUrl: "http://192.168.0.130:30068",
      api: "ollama",
      apiKey: "ollama-local",
      models: [
        // keep your existing qwen3:1.7b entry...

        {
          id: "qwen3:8b",
          name: "Qwen3 8B",
          reasoning: false,
          input: ["text"],
          cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
          contextWindow: 16384,
          maxTokens: 4096
        }
#
      ]
    }
  }
},

agents: {
  defaults: {
    model: { primary: "ollama/qwen3:8b", fallbacks: [] }
  }
}

Save/apply, then test chat again.

If you paste the output of the api/show command (or just tell me whether it mentions tools), I can confirm before you flip OpenClaw over.

glass cargo
bright tundraBOT
#

No need to paste that giant /api/show output. Just do a yes/no tool-support probe that returns a tiny response.

Best test: call /api/chat with a dummy tool (definitive)

Run this on TrueNAS (or anywhere that can reach Ollama):

curl -s http://192.168.0.130:30068/api/chat \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3:8b",
    "stream": false,
    "messages": [{"role":"user","content":"Say OK"}],
    "tools": [{
      "type": "function",
      "function": {
        "name": "noop",
#
        "description": "no operation",
        "parameters": { "type":"object", "properties":{} }
      }
    }]
  }'

How to interpret:

  • If you get a normal JSON reply with "message" → tools are supported (good for OpenClaw).
  • If you get an error like does not support tools → not compatible as OpenClaw primary.

If it does support tools

Then proceed with switching OpenClaw’s primary model to ollama/qwen3:8b and make sure your OpenClaw model entry sets:

  • contextWindow: 16384 (or higher) so OpenClaw won’t block it again.

If you paste just the first line of the response (or the error line), I’ll tell you which case you’re in.

glass cargo
#

Last login: Sat Feb 28 03:50:21 PST 2026 on pts/8
truenas_admin@truenas[~]$ curl -s http://192.168.0.130:30068/api/chat
-H "Content-Type: application/json"
-d '{
"model": "qwen3:8b",
"stream": false,
"messages": [{"role":"user","content":"Say OK"}],
"tools": [{
"type": "function",
"function": {
"name": "noop",
"description": "no operation",
"parameters": { "type":"object", "properties":{} }
}
}]
}'
{"model":"qwen3:8b","created_at":"2026-02-28T11:52:48.779325179Z","message":{"role":"assistant","content":"OK","thinking":"Okay, the user just said "Say OK /think". Let me break this down. First, they want me to respond with "OK". The "/think" part might be a command or a note for me to consider something. But since the tools provided don't have any functions related to processing commands like that, I should ignore it. The main task is to say "OK". I need to make sure my response is straightforward and doesn't include any extra text. Let me check the tools again to confirm there's no function I need to call here. The only tool available is the no-op function, which does nothing. So, I don't need to use any tool. Just respond with "OK".\n"},"done":true,"done_reason":"stop","total_duration":7451623258,"load_duration":4161743808,"prompt_eval_count":119,"prompt_eval_duration":749505495,"eval_count":150,"eval_duration":2486811179}%
truenas_admin@truenas[~]$

bright tundraBOT
#

Perfect — that response proves qwen3:8b supports tools, so it’s compatible with OpenClaw as a primary model.

Now switch OpenClaw to it:

1) Add qwen3:8b to your OpenClaw Ollama model list

In Control UI → Config → Raw JSON, under models.providers.ollama.models, add:

{
  id: "qwen3:8b",
  name: "Qwen3 8B",
  reasoning: false,
  input: ["text"],
  cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
  contextWindow: 16384,
  maxTokens: 4096
#
}

(You can keep the 1.7b entry as a fallback if you want.)

2) Set it as the default model

Change:

agents: {
  defaults: {
    model: { primary: "ollama/qwen3:8b", fallbacks: [] }
  }
}
#

Save/apply, refresh chat, and run /model status to confirm it’s now on ollama/qwen3:8b.

One note: your /api/chat output shows it returns a big thinking field. That’s fine, but if it feels slow, we can tweak model params later.

glass cargo
#

this is my config json....I want you to update it for me > {
"meta": {
"lastTouchedVersion": "2026.2.22-2",
"lastTouchedAt": "2026-02-28T11:37:48.393Z"
},
"models": {
"providers": {
"ollama": {
"baseUrl": "http://192.168.0.130:30068",
"apiKey": "OPENCLAW_REDACTED",
"api": "ollama",
"models": [
{
"id": "qwen3:1.7b",
"name": "Qwen3 1.7b",
"api": "ollama",
"reasoning": false,
"input": [
"text"
],
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0
},
"contextWindow": 16384,
"maxTokens": 4096
}
]
}
}
},
"agents": {
"defaults": {
"model": {
"primary": "ollama/llama3.2-vision:latest",
"fallbacks": []
},
"compaction": {
"mode": "safeguard"
},
"maxConcurrent": 4,
"subagents": {
"maxConcurrent": 8
}
}
},
"messages": {
"ackReactionScope": "group-mentions"
},
"commands": {
"native": "auto",
"nativeSkills": "auto",
"restart": true,
"ownerDisplay": "raw"
}
}

bright tundraBOT
#

Here’s your config updated to use qwen3:8b (tool-capable) as the primary model, keep qwen3:1.7b as a fallback, and remove the vision model that errors on tools.

Paste this whole block back into the Control UI config editor:

{
  "meta": {
    "lastTouchedVersion": "2026.2.22-2",
    "lastTouchedAt": "2026-02-28T11:37:48.393Z"
  },
  "models": {
    "providers": {
      "ollama": {
        "baseUrl": "http://192.168.0.130:30068",
        "apiKey": "__OPENCLAW_REDACTED__",
        "api": "ollama",
#
        "models": [
          {
            "id": "qwen3:8b",
            "name": "Qwen3 8B",
            "api": "ollama",
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 16384,
            "maxTokens": 4096
          },
          {
            "id": "qwen3:1.7b",
            "name": "Qwen3 1.7b",
            "api": "ollama",
#
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 16384,
            "maxTokens": 4096
          }
        ]
      }
    }
  },
  "agents": {
    "defaults": {
      "model": {
        "primary": "ollama/qwen3:8b",
        "fallbacks": ["ollama/qwen3:1.7b"]
#
      },
      "compaction": {
        "mode": "safeguard"
      },
      "maxConcurrent": 4,
      "subagents": {
        "maxConcurrent": 8
      }
    }
  },
  "messages": {
    "ackReactionScope": "group-mentions"
  },
  "commands": {
    "native": "auto",
#
    "nativeSkills": "auto",
    "restart": true,
    "ownerDisplay": "raw"
  }
}

After saving/applying:

  1. Refresh Chat
  2. Run /model status — it should show ollama/qwen3:8b as default.

If you still want vision later, we can add a separate vision model, but it must be one that Ollama reports as tool-capable (otherwise OpenClaw will 400).

glass cargo
#

Current: ollama/qwen3:8b (selected)
Active: ollama/llama3.2-vision:latest (runtime)
Default: ollama/qwen3:8b
Agent: main
Auth file: ~/.openclaw/agents/main/agent/auth-profiles.json

[amazon-bedrock] endpoint: default auth: missing
• amazon-bedrock/anthropic.claude-3-haiku-20240307-v1:0
• amazon-bedrock/anthropic.claude-3-5-haiku-20241022-v1:0
• amazon-bedrock/anthropic.claude-haiku-4-5-20251001-v1:0
• amazon-bedrock/eu.anthropic.claude-haiku-4-5-20251001-v1:0

bright tundraBOT
#

You’re really close — that /model status output means:

  • Default is set correctly: ollama/qwen3:8b
  • But your current session is still pinned/running on: ollama/llama3.2-vision:latest (and that one will keep failing because it “does not support tools”)

Do this to force the session onto qwen3:8b:

1) Stop any in-flight run

In the Chat box:

  • /stop

2) Switch the current session model

In the Chat box:

  • /model ollama/qwen3:8b

(Or /model → pick qwen3:8b from the list.)

#

3) Send a fresh message

Send:

  • Reply with exactly: OK

Then run:

  • /model status

You should now see Active: ollama/qwen3:8b.

If it STILL shows llama3.2-vision as Active

That usually means the session has an old override stuck. Easiest fix:

  • start a brand new session: /new
  • then /model status again

Also make sure your config no longer has this line anywhere:

  • "primary": "ollama/llama3.2-vision:latest"
#

(That model will never work with OpenClaw because Ollama rejects tools for it.)

If you paste the first few lines of /model status again after /stop + /model ... + one test message, I’ll tell you exactly what’s still holding it.

glass cargo
#

The required files WORKFLOW_AUTO.md, memory/2026-02-28.md, and memory/2026-02-27.md were not found in the workspace. Since the read tool cannot create files, I cannot proceed further without explicit instructions. Please confirm if you want to:

Create these files manually (e.g., with write tool)
Skip them and continue with available tools
Provide alternative files to read

Let me know how to proceed.

bright tundraBOT
#

That message is not a real OpenClaw error — it’s the model “role‑playing” as a coding agent that expects certain workspace files (WORKFLOW_AUTO.md, memory/…) and then refusing to continue. OpenClaw doesn’t require those files.

Quick fix (get back to normal chat)

In the Control UI chat:

  1. Run:
  • /stop
  • /new
  1. Then force the model for the new session:
  • /model ollama/qwen3:8b
  1. Send: Reply with exactly: OK

That should get you back to sane behavior.

If it keeps happening

#

It usually means your workspace has an AGENTS.md / system prompt telling the model “always read WORKFLOW_AUTO.md and memory files first”.

Check your workspace on the TrueNAS side (OpenClaw app shell, container openclaw):

ls -la
ls -la memory 2>/dev/null || true
sed -n '1,200p' AGENTS.md 2>/dev/null || true

If you see instructions referencing WORKFLOW_AUTO.md, either remove that requirement, or create empty placeholders (safe):

mkdir -p memory
touch WORKFLOW_AUTO.md memory/2026-02-28.md memory/2026-02-27.md
#

Also: the [amazon-bedrock] auth: missing lines in /model status can be ignored unless you actually want Bedrock.

If you paste the first ~30 lines of your AGENTS.md (if it exists), I can tell you exactly what line is causing that weird “required files” behavior.

glass cargo
#

The required startup files WORKFLOW_AUTO.md and memory logs are missing after the context reset. Would you like me to proceed without them, or should I check for alternative workflows? I'm using the default model ollama/qwen3:8b as instructed. What would you like to do next?

bright tundraBOT
#

That “WORKFLOW_AUTO.md / memory logs are missing” thing is not an OpenClaw requirement — it’s your model/session prompt getting stuck in a “coding-agent workflow” loop and refusing to answer until those files exist.

Fastest way to un-stick it is to create empty placeholder files in the OpenClaw workspace (safe), then start a fresh session.

Fix (2 minutes)

1) Create the placeholder files (TrueNAS → Apps → openclaw → Shell, container openclaw)

First find the workspace directory:

pwd
ls -la
ls -la memory 2>/dev/null || true

If you already see your workspace files there, run:

#
mkdir -p memory
touch WORKFLOW_AUTO.md memory/2026-02-28.md memory/2026-02-27.md

If you don’t see where the workspace is, try:

ls -la /home/node/.openclaw 2>/dev/null || true
ls -la /home/node/.openclaw/workspace 2>/dev/null || true
ls -la /home/node/.openclaw/.openclaw/workspace 2>/dev/null || true

Then cd into the one that exists and run the mkdir/touch commands above.

2) Reset the chat session (Control UI)

In the Chat box:

#
  • /stop
  • /new
  • /model ollama/qwen3:8b

Then try: Reply with exactly: OK

If you want to remove the cause (optional)

In that same workspace, check AGENTS.md (it’s usually what injects “required files” rules):

sed -n '1,200p' AGENTS.md 2>/dev/null || true

If it mentions WORKFLOW_AUTO.md as mandatory, delete that requirement (or just keep the empty file and ignore it).

If you paste just the output of pwd + ls -la from the openclaw container, I can tell you exactly which directory you should run the touch in.

glass cargo
#

what is the gpu monitoring code again?

bright tundraBOT
#

On the TrueNAS host shell, use:

watch -n 1 nvidia-smi

Stop it with Ctrl+C.

(If you just want a one-time snapshot: nvidia-smi.)

glass cargo
#

all working now...thnx bot boi

bright tundraBOT
#

Glad it’s all working.

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