Hey everyone!
So I'm building a site on Wordpress, it's all installed, with a theme, and some sample posts, and whatnot. Then Iinstalled Openclaw on an ubuntu server, in my house, on an old iMac with 1tb ssd and 32gb ram. I told it to setup a memory.md file and save everything related to the project, instructions, templates, credentials, brainstorming sessions, everything. I gave it instructions, and it was going great - for about 3 minutes which is how long it took to create the categories I gave it to create. Then I told it to research and create some sample review posts based on certain criteria - and it said "no problem."
4 hours later I asked how it was doing. It said, just waiting on you to tell me how I can help.
WHAT!? It had accomplished nothing even though I explicitly told it to "proceed". It finally completes a sample post for me - not bad. I tell it to create 5 more for each category. It says "no problem." How long will it take - 5-8 hours it tells me. I go to bed.
I check on it in the AM. Nothing has been done. It has no memory of anything. It says there are no memory files in it's workspace. I cut and paste the conversation from the day before and spins into a long explanation that really is just gibberish.
I give a single task, to create a sinlge post, and it says "no problem." LOL - I've heard that before!
30 minutes later I ask for an update...it says "I'm waiting on you to allow me to do this."
Now I tell it explicityly how I want it to behave - don't wait for me, save everything in memory for now, when I say jump don't ask "how high" just jump. We agree, and proceed. Now it tells me it can't configure plugins without Wordpress dashboard admin credentials - I give them. I ask for an update. It cant' use the credentials because it can't access the dashboard (chromme relay doesn't work at all - it's the attachment thing is broke).
It tellms me it can configure plugins via ssh. You can only imagine how that's going!
And round and around.
Thoughts?
#Anyone successfully use Openclaw to build a wordpress site?
1 messages · Page 1 of 1 (latest)
What you’re describing usually comes from a few very specific OpenClaw “gotchas” (and they map 1:1 to the symptoms you saw):
1) “It said 5–8 hours… then did nothing overnight”
OpenClaw doesn’t keep working for hours in the background just because it said “no problem”. A single run is basically: message → model thinks → replies → stops.
If you want “keep working while I’m asleep”, you need one of:
- sub-agents (background worker runs that report back), or
- cron/heartbeat (scheduled work)
Docs: https://docs.openclaw.ai/tools/subagents and https://docs.openclaw.ai/automation/cron-jobs
2) “It forgot everything / new day = blank slate”
By default, sessions expire after idle (default is 60 minutes). So “next morning” is commonly a new session with no chat context.
Docs: https://docs.openclaw.ai/help/faq#do-sessions-reset-automatically-if-i-never-send-new
3) “There are no memory files in its workspace”
Memory is not magic-state inside the model — it’s literally markdown files on disk in the agent workspace (MEMORY.md + memory/YYYY-MM-DD.md). If it says “no memory files”, one of these is happening:
- the agent never actually wrote them (it agreed but didn’t call the write tool)
- you’re accidentally running with a different workspace (super common: CLI vs service using different config/profile)
- you’re in a mode where the workspace is effectively not writable (sandbox/read-only situations)
Docs:
- https://docs.openclaw.ai/help/faq#where-should-agentsmd-soulmd-usermd-memorymd-live
- https://docs.openclaw.ai/concepts/memory
- https://docs.openclaw.ai/concepts/agent-workspace
4) “I’m waiting on you to allow me to do this”
That’s almost always exec approvals / allowlists kicking in: the agent tries to run something (SSH/WP-CLI/etc), but policy requires an approval prompt, and if you don’t have the UI prompt path working (or ask-fallback is deny), it stalls.
Docs: https://docs.openclaw.ai/tools/exec-approvals
5) Chrome relay / “attach tab” not working
If your Gateway is on an Ubuntu server but Chrome is on your desktop, the browser takeover flow needs the extension and the browser machine to be reachable (often via a node). Also: you must click the extension icon on the specific tab so it’s “attached”.
Docs: https://docs.openclaw.ai/tools/chrome-extension
What I’d do next (fastest debug loop)
On the Gateway host, run these and paste output (they’re designed to be shareable; tokens get redacted in the --all report):
openclaw --version
openclaw status --all
openclaw gateway status
openclaw config get agents.defaults.workspace
Those 4 lines usually reveal immediately whether this is:
- “service is using a different config/workspace than you think”
- “gateway restarted / session expired”
- “tools blocked by approvals”
- “model/provider issue”
One big safety note: don’t store admin credentials in MEMORY.md / chat logs (especially in Discord). For WordPress automation, a cleaner path is usually WP-CLI or the WP REST API with an application password, and keep secrets in proper secret storage — not in “memory files”.
If you drop the status --all + gateway status outputs, we can pinpoint which of the above is your exact failure mode.
how do I upload a file?
In Discord, just attach it to a message in the thread:
Desktop (Discord app / web)
- Drag & drop the file into the message box, or
- Click the “+” / paperclip next to the message box → pick the file → Send
Mobile
- Tap the “+” next to the message field → Files (or Document) → pick file → Send
If it’s logs / long text
- If it’s short-ish, paste it inside a code block:
like this - If it’s big, save it as
logs.txtand attach it (Discord has upload size limits; if it’s too large, use a paste link and share the URL).
Quick safety note
Before uploading, remove/redact secrets (WP admin password, tokens, API keys). openclaw status --all is generally safe to share (it’s meant to redact), but configs/screenshots can leak secrets.
The "+" only shows "apps"
That usually means one of two things: (a) you’re on a Discord client/UI variant where the “+” is the App Launcher, and file upload is elsewhere, or (b) you don’t have “Attach Files” permission in that channel/thread.
Try these in order:
1) Easiest bypass: drag/paste
- Drag & drop the file into the message box.
- Or copy the file and paste into Discord:
- macOS:
Cmd+V - Windows/Linux:
Ctrl+V
This works even when the “+” menu is apps-only.
- macOS:
2) Look for the paperclip / upload button
Depending on the Discord UI, the actual file upload is a paperclip icon (sometimes on the right side of the message box), not under “+”.
3) If you still can’t: it’s permissions
If you don’t have permission, Discord will hide/disable uploading and you’ll only see “Apps”.
Fix: a server admin needs to grant Attach Files permission for that channel (and threads inherit perms from the parent).
If you tell me desktop vs mobile (and if you’re using Discord app vs browser), I can give the exact click path for that UI.
how do I get permission
You can’t “get” that permission yourself in Discord — it’s granted by the server via roles and/or channel overrides.
If you’re not a server admin/mod
- Ask a server moderator/admin to enable Attach Files for your role in this channel (or tell you which channel is allowed for uploads).
- Workaround: paste the text in-chat (or use a paste link) instead of uploading.
If you are a server admin/mod (or on your own server)
- Server Settings → Roles → (your role) → Permissions
- Enable: Attach Files
- Then check the specific channel:
- Right-click the channel → Edit Channel → Permissions
- Make sure there isn’t an override denying Attach Files for your role (channel overrides can block it even if the role allows it).
- If you’re in a thread, permissions generally inherit from the parent channel—so fix it on the parent channel.
If you tell me whether this is a server you control or the OpenClaw community server, I can tell you the best place to post the debug output if uploads are intentionally restricted here.
Wow...this is just like talking to openclaw! lol
Fair roast.
But yeah: if the “+” is only showing Apps, you almost certainly don’t have “Attach Files” permission in this channel/thread (server-side role setting). There’s nothing you can click to “request” it other than asking a moderator/admin to grant Attach Files for your role here.
Practical workaround so we can still debug right now:
- Paste output as text in a code block:
openclaw --version openclaw status --all openclaw gateway status openclaw config get agents.defaults.workspace - If it’s huge, paste to a text paste site and drop the link (and please redact secrets).
If you paste those 4 outputs, we can usually tell immediately why it “forgot” and why it’s “waiting for permission.”
That paste link looks truncated (I can’t open https://pastes.io/for-discor — it’s missing the rest of the slug).
Can you re-post the full pastes.io URL (it should be something like https://pastes.io/xxxxx...)?
Tip: wrap it in angle brackets so Discord doesn’t “helpfully” shorten it:
<https://pastes.io/your-full-slug-here>
Also, please double-check the paste doesn’t include secrets (WP admin creds, tokens, API keys). If it does, delete/replace the paste and re-upload a redacted version.
Once I can see it, I’ll tell you exactly which of these you’re hitting: wrong workspace, session expiry, exec approvals blocking, or browser relay/node setup.
This is the entire url, it works fine for me: https://pastes.io/for-discor
Yep — that URL works. I can see your paste.
A couple things jump out immediately from the output:
1) Your CLI ↔ gateway auth is misconfigured (token mismatch)
openclaw gateway status is failing with:
unauthorized: gateway token mismatch (set gateway.remote.token to match gateway.auth.token)
That means your config has two different tokens set. Fix is: make gateway.remote.token match gateway.auth.token (or unset gateway.remote.token if you’re not using remote mode).
Run these locally on the gateway machine (don’t paste the token here):
openclaw config get gateway.auth.token
openclaw config get gateway.remote.token
Then set gateway.remote.token to the same value as gateway.auth.token, and restart:
openclaw gateway restart
This doesn’t directly “fix WordPress”, but it does fix a bunch of “gateway status says weird things / tools feel broken” confusion.
2) Your gateway is loopback-only (important for Dashboard + Chrome relay)
Your gateway is bound to 127.0.0.1:
Gateway: bind=loopback (127.0.0.1)
So anything that’s not running on that same machine cannot connect (Dashboard from another computer, Chrome extension on another computer, etc.) unless you use SSH tunnel / Tailscale / bind lan.
This alone can explain “Chrome relay doesn’t work” if Chrome is on your laptop/desktop but OpenClaw is on the Ubuntu box.
3) Memory files are in a specific folder (verify it actually exists)
Your workspace is:
/home/trident50/.openclaw/workspace
On the gateway machine, check what’s actually there:
ls -la /home/trident50/.openclaw/workspace
ls -la /home/trident50/.openclaw/workspace/memory 2>/dev/null || true
If there’s no MEMORY.md (or memory.md) then the bot didn’t persist anything — it wasn’t “hidden”, it just never got written.
If you paste just those ls -la outputs (no secrets), I can tell you if you’re in the wrong workspace vs memory never got created vs permission issue.
(And separately: the “nothing happened overnight” part is expected unless you’re using sub-agents/cron — OpenClaw won’t keep working for 5–8 hours in the background just because it said it would.)
🦞 OpenClaw 2026.2.26 (bc50708)
Give me a workspace and I'll give you fewer tabs, fewer toggles, and more oxygen.
⚠️ Config token differs from service token. The daemon will use the old token after restart.
Run openclaw gateway install --force to sync the token.
Restarted systemd service: openclaw-gateway.service
That message is actually good news — it tells you exactly what’s wrong:
What it means
Your config token (what’s in ~/.openclaw/openclaw.json) is not the same as the token baked into the systemd daemon/service. So after a restart, the service keeps using the old token, and then:
openclaw gateway status/ Dashboard / other clients can’t auth reliably- you get those “unauthorized / token mismatch” symptoms
Fix (run on the Ubuntu box)
This will rewrite the systemd service to match your current config:
openclaw gateway install --force
openclaw gateway restart
openclaw gateway status
(Do not paste any token values into Discord.)
After that
If you use the Dashboard/Control UI, you may need to re-enter the token it uses (because it probably has the other one saved). Easiest is:
openclaw dashboard
Then paste the token from gateway.auth.token into the Control UI settings if prompted.
If openclaw gateway status still complains after this, paste just the non-secret output of openclaw gateway status and we’ll keep going.
🦞 OpenClaw 2026.2.26 (bc50708)
The only bot that stays out of your training set.
│
◇
Service: systemd (enabled)
File logs: /tmp/openclaw/openclaw-2026-03-01.log
Command: /usr/bin/node /home/trident50/.npm-global/lib/node_modules/openclaw/dist/index.js gateway --port 18789
Service file: ~/.config/systemd/user/openclaw-gateway.service
Service env: OPENCLAW_GATEWAY_PORT=18789
Config (cli): ~/.openclaw/openclaw.json
Config (service): ~/.openclaw/openclaw.json
Gateway: bind=loopback (127.0.0.1), port=18789 (service args)
Probe target: ws://127.0.0.1:18789
Dashboard: http://127.0.0.1:18789/
Probe note: Loopback-only gateway; only local clients can connect.
Runtime: running (pid 33938, state active, sub running, last exit 0, reason 0)
RPC probe: ok
Listening: 127.0.0.1:18789
Troubles: run openclaw status
Troubleshooting: https://docs.openclaw.ai/troubleshooting
Perfect — that’s the “good” output:
- service + CLI are using the same config now
- RPC probe: ok
- gateway is actually reachable/authenticated
So the token mismatch problem is fixed.
One remaining big constraint: you’re loopback-only
This line matters a lot:
Gateway: bind=loopback (127.0.0.1)
Probe note: Loopback-only gateway; only local clients can connect.
Meaning:
- Dashboard at
http://127.0.0.1:18789/only works on the Ubuntu box itself - anything like Chrome relay / browser takeover on your laptop won’t work unless you use SSH tunnel/Tailscale, or change bind mode.
Fast options:
- SSH tunnel from your laptop:
then openssh -N -L 18789:127.0.0.1:18789 trident50@192.168.1.131http://127.0.0.1:18789/on your laptop. - Or use Tailscale Serve (docs): https://docs.openclaw.ai/help/faq#how-do-i-authenticate-the-dashboard-token-on-localhost-vs-remote
Next: verify your “memory is gone” claim on disk
On the Ubuntu box, run:
ls -la ~/.openclaw/workspace
ls -la ~/.openclaw/workspace/memory 2>/dev/null || true
If those files aren’t there, the bot wasn’t “forgetting” — it literally never wrote memory to disk.
And the “it said it would take 8 hours” part
That’s still expected behavior: OpenClaw won’t keep working overnight unless you use sub-agents or cron.
Docs: https://docs.openclaw.ai/tools/subagents
Paste the ls -la outputs and we’ll know which bucket you’re in (wrong workspace vs memory never created vs you’re looking on a different machine).
bind [127.0.0.1]:18789: Address already in use
channel_setup_fwd_listener_tcpip: cannot listen to port: 18789
Could not request local forwarding.
That error is coming from your laptop/desktop, not the Ubuntu box.
It means port 18789 is already being used locally (often by another SSH tunnel you left running, or a local OpenClaw gateway), so SSH can’t bind it for forwarding.
Fix: use a different local port
Pick a free local port (e.g. 18889) and map it to the remote gateway:
ssh -N -L 18889:127.0.0.1:18789 trident50@192.168.1.131
Then open on your laptop:
http://127.0.0.1:18889/
If you really want to use 18789 locally
You need to stop whatever is listening on your local machine:
- macOS:
lsof -nP -iTCP:18789 -sTCP:LISTEN - Linux:
ss -ltnp | grep 18789
Then kill/stop that process (or close the other SSH tunnel).
If you tell me what OS you’re running the SSH command from (macOS/Windows/Linux), I’ll give the exact “find listener → stop it” command for that platform.
I ran the ssh line , entered the password, and now just a blinking cursor. Should I CTRL C out of it?
Nope — don’t Ctrl‑C. That blinking cursor is exactly what you want.
ssh -N -L ... opens a tunnel and then intentionally does nothing (no shell), so it just sits there keeping the port-forward alive.
What to do now
- Leave that terminal window running.
- Open a browser on your laptop and go to:
http://127.0.0.1:18889/(or whatever local port you used)
When you’re done
Then you can go back to the terminal and hit Ctrl‑C to close the tunnel.
If you tell me what local port you used in the command, I’ll confirm the exact URL you should open.
I get unable to connect
“Unable to connect” almost always means the SSH tunnel isn’t actually listening on your laptop, or you’re trying to open it from the wrong device.
Quick checklist:
0) Are you opening the URL on the same computer where you ran ssh -N -L …?
- The tunnel binds to 127.0.0.1 on your laptop.
- If you try to open it from your phone / another PC, it will fail.
1) Confirm you’re using the right local port in the browser
If you ran:
ssh -N -L 18889:127.0.0.1:18789 trident50@192.168.1.131
then your browser URL is:
http://127.0.0.1:18889/ (not 18789)
2) Check if the tunnel is listening locally
On the machine where you ran the SSH command, open a second terminal and run:
macOS:
lsof -nP -iTCP:18889 -sTCP:LISTEN
Linux:
ss -ltnp | grep 18889
You should see an ssh process listening. If you don’t, the tunnel didn’t come up (or you Ctrl‑C’d it, or it failed silently).
3) Verify the gateway is reachable on the Ubuntu box itself
On the Ubuntu box:
curl -I http://127.0.0.1:18789/ | head
If that fails, then the gateway isn’t actually serving HTTP (even though WS RPC is ok), and we’ll look at logs.
Tell me:
- the exact SSH command you ran (you can paste it), and
- the exact URL you tried to open (including port), and
- whether you opened it on the same machine that ran the SSH command.
ssh -N -L 18889:127.0.0.1:18789 trident50@192.168.1.13131
trident50@192.168.1.131's password:
Your SSH command has a typo in the IP:
You wrote:
... trident50@192.168.1.13131
That should be:
ssh -N -L 18889:127.0.0.1:18789 trident50@192.168.1.131
A couple important notes:
- The tunnel is NOT active until you finish the login.
If your terminal is sitting at:
trident50@192.168.1.131's password:
…then the tunnel isn’t up yet. Type the password, press Enter, and only after it connects you’ll get the “blinking cursor” (idle SSH session).
- Once it’s connected, open this on the same machine where you ran ssh:
http://127.0.0.1:18889/
If it still says “unable to connect”, run this on that same machine (in a 2nd terminal) and paste the output:
curl -v http://127.0.0.1:18889/ 2>&1 | head -50
That will tell us immediately whether the tunnel is listening vs the browser is hitting the wrong place.
ssh -N -L 18889:127.0.0.1:18789 trident50@192.168.1.131
trident50@192.168.1.131's password:
Yep — you’re at the normal password prompt for SSH.
- Type the Ubuntu box user password for
trident50(nothing will show while you type — that’s normal) - Press Enter
- If it connects successfully, you’ll get the blinking cursor (and the tunnel is now active)
- Keep that terminal window open, then in your browser on the same machine go to:
http://127.0.0.1:18889/
Only hit Ctrl‑C when you’re done and want to close the tunnel.
If after entering the password you get Permission denied, paste that error text (no passwords), and we’ll fix the SSH login side.
So I got to the dashboarfd, on the same machine - why?
Because your Gateway is loopback-only on the Ubuntu box (127.0.0.1:18789), so the dashboard normally only exists “locally” on that box.
What your SSH command did was create a fake local dashboard port on your laptop:
- You open
http://127.0.0.1:18889on your laptop - SSH forwards that to
127.0.0.1:18789on the Ubuntu box - So it feels like the dashboard is local, but it’s really going through the tunnel
That’s also why it only works on the same machine where the ssh tunnel is running. If you try 127.0.0.1:18889 from your phone, it won’t work (because “127.0.0.1” always means “this device”).
If you want the dashboard reachable without running an SSH tunnel all the time, the usual options are:
- Tailscale Serve (recommended), or
- bind the gateway to LAN (
gateway.bind: "lan") and keep token auth on.
You told me to do it on the same machine - that was the Ubuntu box.
Ah — sorry, I used “same machine” ambiguously.
There are two different “same machines” in this setup:
A) “Same machine as the Gateway” = the Ubuntu box
Your gateway is bound to loopback (127.0.0.1:18789), so on the Ubuntu box itself you can open:
http://127.0.0.1:18789/
No SSH tunnel needed if you’re literally using a browser on the Ubuntu box.
B) “Same machine as the SSH command” = your laptop/desktop
The SSH tunnel creates a local port on whatever machine you ran SSH from. So if you ran:
ssh -N -L 18889:127.0.0.1:18789 trident50@192.168.1.131
…then you must open the dashboard on that same computer at:
http://127.0.0.1:18889/
So why did I recommend the tunnel?
Because most people aren’t browsing on the Ubuntu server (it’s usually headless). The tunnel is the standard way to view the dashboard from your normal computer while keeping the gateway loopback-only (safer).
Tell me which device you actually want to use for the dashboard:
- Ubuntu box (has a GUI/browser?)
- your laptop/desktop
…and I’ll give you the “right” one-liner for that path.
I don't know what you're trying to accomplish here. I don't need to ssh into the Openclaw instance from any machine.
Fair — you don’t need SSH in general. The only reason we went there was because your gateway is bound to loopback (127.0.0.1), so the dashboard isn’t reachable from other devices unless you tunnel it.
If you’re happy operating on the Ubuntu box itself (or you don’t care about the dashboard), you can ignore the whole SSH-tunnel thing.
What we are trying to accomplish is to fix the 3 core issues you hit:
1) “It said it would take hours, then did nothing”
OpenClaw won’t keep working for 5–8 hours in the background just because you said “proceed”. One run = one response.
If you want overnight work, you need:
- Sub-agents (background worker runs that report back), or
- Cron jobs (scheduled runs)
Docs: https://docs.openclaw.ai/tools/subagents and https://docs.openclaw.ai/automation/cron-jobs
2) “It forgot everything / no memory files”
Memory is files on disk in the workspace. Also important: MEMORY.md is optional and not auto-created. (So “there is no memory file” can literally be true unless you create it.)
Docs: https://docs.openclaw.ai/concepts/memory
On the Ubuntu box, check what actually exists:
ls -la ~/.openclaw/workspace
ls -la ~/.openclaw/workspace/memory 2>/dev/null || true
Also: if BOOTSTRAP.md is still sitting there long after onboarding, it can keep the agent in “first run” mode. It’s supposed to be deleted after the ritual. (Worth checking if it’s still present.)
3) “I’m waiting on you to allow me”
That’s almost always exec approvals / allowlist gating: the agent tried to run a command (SSH/wp-cli/etc) and got stuck waiting for an approval UI path.
Docs: https://docs.openclaw.ai/tools/exec-approvals
If you tell me which path you actually want:
- A) “I want the bot to just write drafts and I’ll paste into WordPress myself” (no exec/browser needed), or
- B) “I want the bot to publish into WordPress automatically” (exec approvals + WP-CLI/API/browser automation)
…I can give you the simplest, least-annoying setup for that path.
rwxrwxr-x 6 trident50 trident50 4096 Mar 1 07:14 .
drwx------ 14 trident50 trident50 4096 Mar 1 11:07 ..
-rw-rw-r-- 1 trident50 trident50 7869 Feb 27 19:16 AGENTS.md
-rw-rw-r-- 1 trident50 trident50 1470 Feb 27 19:16 BOOTSTRAP.md
drwxrwxr-x 7 trident50 trident50 4096 Feb 27 19:16 .git
-rw-rw-r-- 1 trident50 trident50 168 Feb 27 19:16 HEARTBEAT.md
-rw-rw-r-- 1 trident50 trident50 429 Feb 27 19:16 IDENTITY.md
-rw------- 1 trident50 trident50 6139 Feb 28 17:41 instructions_2026-02-28_11-29AM.md
drwxrwxr-x 2 trident50 trident50 4096 Mar 1 07:14 memory
drwxrwxr-x 2 trident50 trident50 4096 Feb 27 19:16 .openclaw
drwxrwxr-x 2 trident50 trident50 4096 Feb 27 17:55 .pi
-rw------- 1 trident50 trident50 1394 Feb 28 17:13 review_page_example.json
-rw-rw-r-- 1 trident50 trident50 1673 Feb 27 19:16 SOUL.md
-rw-rw-r-- 1 trident50 trident50 860 Feb 27 19:16 TOOLS.md
-rw-rw-r-- 1 trident50 trident50 515 Feb 27 19:16 USER.md
That directory listing explains a lot.
1) Your agent is likely stuck in “bootstrapping” forever
You still have BOOTSTRAP.md sitting in the workspace:
BOOTSTRAP.mdis supposed to be one-time, then deleted/removed after the first-run ritual.- If it sticks around, the agent can keep behaving like it’s “new”, which matches your “it forgot everything / gibberish / waiting” experience.
Fix (safe, reversible): on the Ubuntu box:
mv ~/.openclaw/workspace/BOOTSTRAP.md ~/.openclaw/workspace/BOOTSTRAP.md.done
openclaw gateway restart
openclaw status --all
After restart, “Agents … bootstrapping” should go away.
(We’ve seen this exact issue: leftover BOOTSTRAP.md → perpetual bootstrapping.)
2) You don’t actually have a MEMORY.md file
Your workspace has a memory/ folder, but no MEMORY.md in the root. That’s normal because MEMORY.md is optional and not auto-created.
MEMORY.md= curated long-term memory (only loads in normal sessions)memory/= daily notes files (usuallymemory/YYYY-MM-DD.md)
So if you told it “save everything to memory.md”, it may have agreed, but there’s no file unless it actually wrote one.
Create it (manually is simplest):
nano ~/.openclaw/workspace/MEMORY.md
Then put only durable project facts in there (and please don’t store WP admin passwords/tokens in plaintext).
3) Quick check: do you have any daily memory files yet?
Run:
ls -la ~/.openclaw/workspace/memory
If it’s empty, that’s why it keeps saying “no memory files”.
Docs refs (so you know I’m not making it up):
- Workspace + BOOTSTRAP behavior: https://docs.openclaw.ai/start/openclaw
- Memory model: https://docs.openclaw.ai/concepts/memory
If you paste openclaw status --all after moving BOOTSTRAP.md aside, we can confirm the agent is out of bootstrap mode.
mv ~/.openclaw/workspace/BOOTSTRAP.md
mv: missing destination file operand after '/home/trident50/.openclaw/workspace/BOOTSTRAP.md'
Try 'mv --help' for more information.
Yep — mv needs a destination.
Use this exact command (it just renames the file so it’s reversible):
mv ~/.openclaw/workspace/BOOTSTRAP.md ~/.openclaw/workspace/BOOTSTRAP.md.done
Then restart the gateway:
openclaw gateway restart
And confirm it’s no longer “bootstrapping”:
openclaw status --all
If you want to be extra safe first, you can do:
ls -la ~/.openclaw/workspace/BOOTSTRAP.md
before moving it.
Nice — this confirms the fix worked.
Key line:
- Agents: 1 total · 0 bootstrapping
and main │ Bootstrap file │ ABSENT
So removing/renaming BOOTSTRAP.md got you out of the perpetual “newborn agent” state. That alone should reduce a bunch of the “gibberish / amnesia / waiting” weirdness.
Now, the remaining things to align with your original expectations:
1) Memory: you still don’t have MEMORY.md
Bootstrapping being absent doesn’t create memory automatically. If you want a durable project memory file, create it:
nano ~/.openclaw/workspace/MEMORY.md
(Or touch it, then edit.) Put project goals, taxonomy, style guide, templates, etc. Avoid storing credentials in plaintext.
Then in chat you can say: “Write a summary of our WordPress project plan into MEMORY.md”.
2) “Do work overnight”
Still won’t happen unless you use sub-agents or cron. The bot saying “5–8 hours” was just the model being optimistic, not a scheduler.
Docs: https://docs.openclaw.ai/tools/subagents
3) Dashboard / Chrome relay
You’re still bind=loopback, which is fine if you’re using the Ubuntu box directly. If Chrome is on a different machine, browser takeover won’t work until you do SSH tunnel or a proper remote access setup (Tailscale Serve is the “set and forget” way).
If you tell me your preferred workflow:
- “I want it to draft posts only” (no browser automation), or
- “I want it to publish into WordPress automatically”
…I’ll tell you the cleanest next step from here.
Then there was this fromt he other command you told me to run:trident50@RobsUbuntu:~$ ls -la ~/.openclaw/workspace/memory 2>/dev/null || true
total 16
drwxrwxr-x 2 trident50 trident50 4096 Mar 1 07:14 .
drwxrwxr-x 6 trident50 trident50 4096 Mar 1 07:14 ..
-rw------- 1 trident50 trident50 5001 Mar 1 09:44 TS_project.md
That output is good: you do have a memory file on disk now:
~/.openclaw/workspace/memory/TS_project.md(created Mar 1 09:44, ~5KB)
So two important clarifications:
1) Why the bot said “there are no memory files”
In OpenClaw there are two “memory-ish” concepts people mix up:
MEMORY.mdin the workspace root → curated long-term memory (and the thing people expect when they say “memory.md”). This is optional and not auto-created.memory/*.mdfolder → notes files (daily notes convention ismemory/YYYY-MM-DD.md, but any.mdworks).
You currently have the folder memory file, but you don’t have a root MEMORY.md, so the bot might have been answering in that sense.
Also: earlier you still had BOOTSTRAP.md, so the agent was in weird “first-run” behavior. That can absolutely lead to bogus “I can’t see files / I’m waiting” style responses.
2) What to do next (so this actually behaves how you expect)
- Create the root long-term file (name matters):
nano ~/.openclaw/workspace/MEMORY.md
- If
TS_project.mdis your project brain-dump, either:
- keep it as-is and tell the bot “read
memory/TS_project.mdand keep it updated”, or - rename it into the daily convention (optional, but nice):
mv ~/.openclaw/workspace/memory/TS_project.md ~/.openclaw/workspace/memory/2026-03-01.md
- Then in chat, explicitly ask:
- “Summarize our current WordPress plan and write the durable parts to
MEMORY.md.” - “When you learn something new, append it to
MEMORY.md(no credentials).”
If you paste the first ~30 lines of TS_project.md (redacting anything sensitive), I can suggest how to structure MEMORY.md so it stays useful instead of turning into a junk drawer.
You can create it blank — the important part is that the file exists so the agent has a stable place to write “durable” notes.
That said, you’ll get better results if you seed it with a tiny structure so it doesn’t turn into a junk drawer. Minimal starter is enough:
# Project Memory (WordPress site)
## Goal
- (1–2 sentences: what the site is + who it’s for)
## Content rules / style
- Tone:
- Review template / sections:
- Must include:
- Must avoid:
## Categories
- (list)
## Workflow
- Draft → review → publish steps
## Credentials / secrets
- DO NOT STORE HERE. (Keep in a password manager / env vars)
Then tell the agent: “When you learn something durable (templates, rules, decisions), append it to MEMORY.md. Don’t store secrets.”
So: blank is fine, but a 30-second skeleton makes the whole “remember stuff” feature actually work.
Done. Now, I want it to publish to worrdpress directly. This is static/sandbox type setup. I don't care about security, I care about results. I want it to do as much as possible without any intervention from myself. It can have Wordpress Admin access, database access, ftp access, and the Chrome Relay if we can get it working. But, probably the most important thing is - I want to spend less time setting all this up to work with my intervention than it would take me to build the site on my own 🙂
If your goal is “publish to WordPress with basically zero babysitting”, the fastest path is: skip Chrome Relay and use WP‑CLI or the WP REST API. Browser automation is the most fragile + highest-setup-cost option.
The good news about your setup
You already fixed the big OpenClaw-side blocker: BOOTSTRAP.md is gone → no more perpetual bootstrapping. That was a major cause of the “amnesia / nonsense / waiting” behavior.
What you actually want (automation) needs 2 pieces
- A non-browser publish mechanism (WP‑CLI or REST)
- Exec approvals/tool gating configured once, so it stops “waiting for you to allow it”
Even if you “don’t care about security”, OpenClaw still has mechanical guardrails (exec approvals) that will block unattended commands until you allowlist them.
Option A (recommended): WP‑CLI on the server
Best when WordPress files/db are on that Ubuntu box (or you can SSH to wherever WP is).
You’ll do once:
- Install WP‑CLI on the WP host
- Figure out the WP path (e.g.
/var/www/html) - Allowlist the
wpbinary in exec approvals so OpenClaw can run it without prompts
Then the agent can do:
- create categories/tags
- install/activate plugins & themes
- create posts/pages
- set featured images (with a bit more scripting)
Typical commands it will run:
wp --path=/var/www/html plugin install … --activatewp --path=/var/www/html post create … --post_status=publish
Docs for the “waiting on you to allow it” part (exec approvals):
https://docs.openclaw.ai/tools/exec-approvals
Option B: WordPress REST API + Application Password
This avoids shell access entirely. Create an application password for a WP admin user and the agent can POST /wp-json/wp/v2/posts etc.
This is often the lowest “ops” overhead, but you (or the agent) still need to set up auth once and store it somewhere safe (not in Discord, not in MEMORY.md).
The “no intervention” reality check (so you don’t waste time)
You can get to near-zero prompts, but you’ll still need a one-time setup where you either:
- allowlist the needed executables (
wp, maybephp, maybecurl), or - flip approvals to very permissive for that agent (works, but it’s the “chainsaw mode”)
After that, use sub-agents / cron for “generate 50 posts overnight” style work. Otherwise the bot won’t keep working just because it said “no problem”.
Sub-agents docs: https://docs.openclaw.ai/tools/subagents
Quick questions (so I can give you the shortest exact checklist)
- Is WordPress installed on the same Ubuntu machine as OpenClaw?
- If yes: what’s the WP install path (
/var/www/...)? - Do you prefer WP‑CLI (shell-based) or REST API (HTTP-based)?
Answer those and I’ll give you the minimal “do these 5 things once, then it can publish autonomously” recipe.
Let me clear something up - my Wordpress site is hosted on IONOS. It's a hosting package, where I do not have root access to the server. I do have REST API is setup and configured and working. So it can, and has done, basic stuff - it setup categories, and researched some items and then created posts, it made some basic pages. I'd like it to do more - configure plugins mainly. This is a review type site with affiliate services being marketed eventually.
Got it — IONOS managed WordPress changes the game. If REST is working, that explains why categories/posts/pages worked. The part you’re stuck on (plugins) is hard because:
- Core WP REST API generally doesn’t cover “install/activate/configure arbitrary plugins” the way WP‑CLI or wp-admin does.
- On managed hosting you also don’t have root/WP‑CLI, so you’re left with: wp-admin automation, or uploading plugin files via FTP, or adding a custom “bridge” plugin that exposes extra endpoints.
Here are the realistic “maximize results / minimize setup time” paths:
Path 1 (usually fastest): automate wp-admin (no Chrome relay required)
You don’t need the Chrome Relay extension for this. OpenClaw can use its own controlled browser (Playwright) to:
- log into
https://yoursite.com/wp-admin/ - go to Plugins → Add New
- install + activate plugins
- click through plugin setup wizards
- import plugin settings files if they support it
This is the closest to “do what I’d do manually, but faster” without needing server access.
Downside: CAPTCHAs / 2FA / “please re-auth” flows can break automation.
Path 2: use FTP upload + activate (semi-automated)
If IONOS gives you FTP/SFTP:
- upload plugin to
wp-content/plugins/<plugin>/ - then you still need to activate it (normally via wp-admin)
You can activate by directly editing the DB (wp_options.active_plugins), but that’s brittle (PHP serialized arrays, table prefixes, easy to break the site). If you go this route, you really want a backup/export first.
Path 3 (best automation, most setup): install one “bridge” plugin once
If you’re serious about full automation, the clean way is:
- upload a tiny custom plugin (via FTP) that creates authenticated REST routes like:
/openclaw/v1/plugins/install/openclaw/v1/plugins/activate/openclaw/v1/options/set
- then OpenClaw can do everything via HTTP (no browser clicking)
This is the most reliable long-term, but it’s upfront work (and you’ll still hit filesystem permission prompts depending on IONOS).
Quick check to decide (30 seconds)
From your laptop, hit:
https://YOURDOMAIN.com/wp-json/
Search the JSON for anything like plugins / themes routes. If there are none, you can assume: REST won’t manage plugins without adding something → you’ll want wp-admin browser automation or a bridge plugin.
Also: “waiting on you to allow me”
That specific phrasing is very often exec approvals blocking shell commands on your Ubuntu box. If you choose a workflow that uses FTP from the Ubuntu host (CLI tools), you’ll need to set exec approvals once so it stops prompting:
https://docs.openclaw.ai/tools/exec-approvals
If you choose browser automation, you can avoid most exec entirely.
Two questions and I’ll tell you exactly which path to do next
- Can you install plugins manually today in wp-admin on IONOS (Plugins → Add New), or is it restricted by the hosting plan?
- Do you have 2FA / CAPTCHA on the wp-admin login?
If (1) is yes and (2) is no, browser automation is the quickest win and should get you to “configure plugins” with minimal extra setup.
Playwright is part of openclaw?
Yes — OpenClaw’s browser automation stack uses Playwright under the hood.
- The
browsertool talks to Chromium via CDP. - For the “smart” stuff (click/type, snapshots, element targeting, PDFs, screenshots in some modes) it uses Playwright-on-CDP.
Source: https://docs.openclaw.ai/tools/browser#playwright-requirement
Two important details:
-
You don’t write Playwright scripts yourself. You use OpenClaw’s
browsertool /openclaw browser …commands, and it uses Playwright internally. -
Some installs don’t include Playwright, so you might see errors like: “Playwright is not available in this gateway build”. In that case, you need to install the full
playwrightpackage (not justplaywright-core) and restart the gateway (the browser docs call this out explicitly).
If you tell me how you installed OpenClaw (npm vs git checkout vs docker), I can point you at the exact “install Playwright” step for your install type.
Yes, I can install plugins manually through ftp. I can also ssh into my account but openclaw and I worked on it and there seems to be something that blocks my configuring a no-password login - I can manually ssh into it, but can't seem to get openclaw to do the same. I do not have 2FA or Captcha on admin login.
If you have no 2FA / no CAPTCHA on wp-admin, then the highest‑leverage / least hassle setup is:
1) Don’t fight SSH for this — use wp-admin automation for plugins
On managed hosts (IONOS), “configure plugins” is basically a wp-admin UI task anyway. OpenClaw can do that via its built-in browser tool (Playwright under the hood).
Two common flows:
A) Plugins from WP.org
Have it automate:
/wp-admin/plugin-install.php→ search plugin → Install Now → Activate- then go to the plugin’s settings page(s) and configure
B) Premium plugins you upload via FTP
You upload to wp-content/plugins/... via FTP, then have OpenClaw:
- go to
/wp-admin/plugins.php - find the plugin → Activate
- run through setup wizard/settings
This avoids all the weird server-side “filesystem credentials” prompts that often break automated installs on managed hosting.
2) Why OpenClaw “can’t SSH” even though you can
OpenClaw’s command runner can’t reliably handle interactive password prompts (and often doesn’t get a TTY), so “manual SSH works” but “bot SSH works” fails.
To make SSH automation work you generally need key-based auth (or something like sshpass, which is brittle and not worth it). But honestly, for IONOS WordPress plugin config, SSH usually isn’t the best lever anyway.
3) Make sure your OpenClaw browser mode is the right one
For wp-admin automation, you want the OpenClaw-managed browser profile (openclaw), not Chrome Relay (Relay is optional and adds moving parts).
Docs: https://docs.openclaw.ai/tools/browser
Quick sanity checks on the Ubuntu box:
openclaw browser status --browser-profile openclaw
openclaw browser start --browser-profile openclaw
If it ever says Playwright isn’t available, install it and restart the gateway (depends how you installed OpenClaw):
pnpm add -g playwrightORnpm i -g playwright
then:
openclaw gateway restart
4) For “as little intervention as possible”
Even once browser automation works, long multi-step work is best done via sub-agents (so it doesn’t “say ok” and then you come back hours later to nothing).
Docs: https://docs.openclaw.ai/tools/subagents
If you tell me which plugins you want (or just “SEO + affiliate links + schema + caching”), I can suggest a minimal stack for a review/affiliate site and the most automatable configuration order (some plugins fight each other if you set them up in the wrong sequence).
profile: openclaw
enabled: true
running: false
cdpPort: 18800
cdpUrl: http://127.0.0.1:18800
browser: unknown
detectedBrowser: chrome
detectedPath: /usr/bin/google-chrome-stable
profileColor: #FF4500
That status is basically: “OpenClaw sees Chrome on disk, but the managed browser profile isn’t running yet.”
Next step is simply to start it:
openclaw browser start --browser-profile openclaw
openclaw browser status --browser-profile openclaw
If this Ubuntu box is headless (no desktop UI)
You almost certainly want the managed browser to run headless (and on Linux it often needs --no-sandbox too). Set these once, restart, then start the browser again:
openclaw config set browser.headless true --json
openclaw config set browser.noSandbox true --json
openclaw config set browser.executablePath "/usr/bin/google-chrome-stable"
openclaw gateway restart
openclaw browser start --browser-profile openclaw
(Those config keys are straight from the Browser docs: https://docs.openclaw.ai/tools/browser and Linux notes: https://docs.openclaw.ai/tools/browser-linux-troubleshooting)
Quick “does automation work?” test
Once it’s running:
openclaw browser open --browser-profile openclaw https://example.com
openclaw browser screenshot --browser-profile openclaw
openclaw browser snapshot --browser-profile openclaw --interactive
If openclaw browser start fails, paste only the error text from that command (no credentials), and also the tail of:
openclaw logs --follow
Then we can get you to the point where it can reliably log into /wp-admin/ and install/activate/configure plugins via the UI (which is the right approach on IONOS managed WP).
profile: openclaw
enabled: true
running: true
cdpPort: 18800
cdpUrl: http://127.0.0.1:18800
browser: chrome
detectedBrowser: chrome
detectedPath: /usr/bin/google-chrome-stable
profileColor: #FF4500
Nice — that’s the “green light” state. Your managed browser profile (openclaw) is running and attached to Chrome via CDP.
Now the only question is: can it actually drive pages (snapshots/click/type). Do this quick test from the Ubuntu box:
openclaw browser open --browser-profile openclaw https://example.com
openclaw browser screenshot --browser-profile openclaw
openclaw browser snapshot --browser-profile openclaw --interactive
- If
snapshotworks (no 501), you’re good (Playwright is available). - If you get a 501 / “Playwright not available”, you’ll need to install Playwright for this OpenClaw install.
Next: log into wp-admin and install/activate plugins via UI
Replace YOURDOMAIN.com:
openclaw browser open --browser-profile openclaw https://YOURDOMAIN.com/wp-admin/
openclaw browser screenshot --browser-profile openclaw
openclaw browser snapshot --browser-profile openclaw --interactive
Then use the returned refs to click / type your username/password fields and submit. After login:
openclaw browser open --browser-profile openclaw https://YOURDOMAIN.com/wp-admin/plugin-install.php
openclaw browser snapshot --browser-profile openclaw --interactive
From there it’s the normal “search plugin → Install → Activate → Settings” flow, just automated.
If you paste the output of the interactive snapshot from the wp-admin login page (it won’t include your password), I can tell you exactly which click/type commands to run next for that page layout.
do you want me to run the openclaw config commands for headless, sandbox, executibable path first?
No — since you already have:
running: truedetectedPath: /usr/bin/google-chrome-stable
…you can skip the config changes for now and first confirm the “can it actually drive pages?” part.
Run these as-is:
openclaw browser open --browser-profile openclaw https://example.com
openclaw browser screenshot --browser-profile openclaw
openclaw browser snapshot --browser-profile openclaw --interactive
When you should set headless/noSandbox/executablePath
Do the config changes only if one of these is true:
- you’re on a headless Ubuntu box (no desktop) and Chrome starts flaky / can’t open pages
- you see errors about sandboxing / display
- you want it to be “always-on + reliable” without a GUI session
If so, set (once) and restart:
openclaw config set browser.headless true --json
openclaw config set browser.noSandbox true --json
openclaw config set browser.executablePath "/usr/bin/google-chrome-stable"
openclaw gateway restart
openclaw browser start --browser-profile openclaw
But again: test first. If screenshot+snapshot work right now, you’re ready to automate /wp-admin/ and plugin install/activation via the UI.
trident50@RobsUbuntu:~$ openclaw browser open --browser-profile openclaw https://example.com
🦞 OpenClaw 2026.2.26 (bc50708) — Your config is valid, your assumptions are not.
│
◇
opened: https://example.com/
id: 07DF43783E2F16F6B781822709E9EEAC
trident50@RobsUbuntu:~$ openclaw browser screenshot --browser-profile openclaw
🦞 OpenClaw 2026.2.26 (bc50708) — Chat automation for people who peaked at IRC.
│
◇
MEDIA:~/.openclaw/media/browser/b88b17b7-1fbf-4720-8d45-cdfaaf0ab6a2.png
trident50@RobsUbuntu:~$ openclaw browser snapshot --browser-profile openclaw --interactive
🦞 OpenClaw 2026.2.26 (bc50708)
Claws out, commit in—let's ship something mildly responsible.
│
◇
Nice: open + screenshot worked, so Chrome launch + CDP is good.
That snapshot --interactive should also return almost instantly on example.com (there’s at least one link), so if it’s just sitting there, something’s off.
1) If the snapshot --interactive is still “running”
Wait ~10–20 seconds. If it doesn’t print anything, hit Ctrl‑C (just cancels that one command; it won’t break the gateway).
2) Run these diagnostics (copy/paste the output)
In a fresh prompt:
openclaw browser snapshot --browser-profile openclaw --format aria --limit 80
openclaw browser console --browser-profile openclaw --level error
openclaw browser errors --browser-profile openclaw
What this tells us:
- If the ARIA snapshot works but
--interactivehangs/fails → it usually points to Playwright not available / not healthy (interactive role snapshots use Playwright). - If even the ARIA snapshot hangs → then it’s more like a CDP/browser control issue.
3) (Optional) quick Playwright check
If you want a fast check without guessing:
node -e "require('playwright'); console.log('playwright ok')"
If that errors with “Cannot find module 'playwright'”, then we know exactly why --interactive is dead.
Paste those outputs and I’ll tell you the exact next fix (either Playwright install/reinstall path, or a browser/CDP tweak).
the snapshot opened a browser windows but it says about:blank
That’s usually just “you’re looking at the browser window, but the active tab (the one OpenClaw is driving) isn’t focused / selected”.
When OpenClaw starts the managed browser it often comes up on about:blank by default.
Do this:
- List tabs (to see what actually exists + which URL loaded):
openclaw browser tabs --browser-profile openclaw
- You should see a tab with an id (targetId) and
https://example.com/. Focus it (use the id you got fromopenclaw browser open, e.g. your07DF...):
openclaw browser focus --browser-profile openclaw 07DF43783E2F16F6B781822709E9EEAC
- Now confirm visually via screenshot (this tells us what the controlled tab actually shows, independent of what you’re looking at on screen):
openclaw browser screenshot --browser-profile openclaw
If tabs shows only about:blank and no example.com, then navigation didn’t actually happen (DNS/firewall/proxy). In that case paste the output of:
openclaw browser tabs --browser-profile openclaw
openclaw browser errors --browser-profile openclaw
. Example Domain
https://example.com/
id: C9DA5E447C69A39557A07CF6A5F19732
2. about:blank
about:blank
id: B82D300F3B846C92340656725D7F29B4
Great — you’ve got two tabs, and the Example Domain one is the one we want OpenClaw to drive.
Run:
openclaw browser focus --browser-profile openclaw C9DA5E447C69A39557A07CF6A5F19732
openclaw browser screenshot --browser-profile openclaw
openclaw browser snapshot --browser-profile openclaw --interactive
What to expect:
- The browser window should switch away from
about:blankto the Example Domain page after thefocus. screenshotshould give you a newMEDIA:...png.snapshot --interactiveshould print a list of clickable elements with refs.
Optional cleanup (not required, but reduces confusion):
openclaw browser close --browser-profile openclaw B82D300F3B846C92340656725D7F29B4
If snapshot --interactive still hangs even after focusing the Example tab, then we’re likely missing/buggy Playwright on that install — in that case paste the output of:
openclaw browser snapshot --browser-profile openclaw --format aria --limit 80
openclaw browser errors --browser-profile openclaw
I had closed the browser windwos...so let's start from the beginning of these commands again, and I'll run them without closing any windows and give you the output
Yep — let’s do a clean “from scratch” run and capture the exact point where it goes weird.
On the Ubuntu box, run these in order (don’t close any windows until we’re done):
# 0) Clean reset (safe)
openclaw browser stop --browser-profile openclaw
openclaw browser start --browser-profile openclaw
openclaw browser status --browser-profile openclaw
# 1) Clear old noise
openclaw browser errors --browser-profile openclaw --clear
# 2) See current tabs (should be about:blank)
openclaw browser tabs --browser-profile openclaw
# 3) Open a test URL
openclaw browser open --browser-profile openclaw https://example.com
# 4) List tabs again + focus the example.com tab (use the id it prints)
openclaw browser tabs --browser-profile openclaw
# then:
# openclaw browser focus --browser-profile openclaw <PASTE_EXAMPLE_TAB_ID_HERE>
# 5) Visual + snapshot
openclaw browser screenshot --browser-profile openclaw
openclaw browser snapshot --browser-profile openclaw --interactive
If snapshot --interactive just hangs again, do Ctrl-C and run:
openclaw browser snapshot --browser-profile openclaw --format aria --limit 80
openclaw browser errors --browser-profile openclaw
openclaw browser console --browser-profile openclaw --level error
Paste the outputs of:
- the two
tabscalls - the
screenshotline (MEDIA path) - and whatever
snapshotprints / errors
That’s enough for me to tell if this is “tab focus issue” vs “Playwright missing/broken” vs “browser control stuck.”
Okay, I ran browser tabs from #4 - and now what?
From that openclaw browser tabs output, find the tab that shows:
- URL:
https://example.com/(or whatever you opened) - and it has an id (a long hex string)
Next step: focus that tab
Run (replace with your tab id):
openclaw browser focus --browser-profile openclaw <TAB_ID>
Example (fake id):
openclaw browser focus --browser-profile openclaw C9DA5E447C69A39557A07CF6A5F19732
Then verify + snapshot
openclaw browser screenshot --browser-profile openclaw
openclaw browser snapshot --browser-profile openclaw --interactive
If you paste your tabs output here, I’ll point at exactly which id to use so you don’t have to guess.
Here's a link to the output for all those commands: https://pastes.io/rident50ro
That paste is exactly what I wanted to see — you’re past the hard part:
- Browser starts ✅
- Tab opens + focuses ✅
- Screenshot works ✅
snapshot --interactivereturns refs ✅ (so Playwright is working)
You’re now at the point where OpenClaw can drive wp-admin reliably.
Next: drive wp-admin login (don’t paste creds in Discord)
Run (replace YOURDOMAIN.com):
openclaw browser open --browser-profile openclaw https://YOURDOMAIN.com/wp-admin/
openclaw browser screenshot --browser-profile openclaw
openclaw browser snapshot --browser-profile openclaw --interactive
That last command will print a list of interactive elements with refs (like your ref=e1). You’re looking for refs for:
- Username/email textbox
- Password textbox
- “Log In” button (or similar)
Then you’ll do something like:
openclaw browser click eX
openclaw browser type eX "YOUR_USERNAME"
openclaw browser click eY
openclaw browser type eY "YOUR_PASSWORD"
openclaw browser click eZ
# or: openclaw browser press Enter
After you submit:
openclaw browser screenshot --browser-profile openclaw
openclaw browser snapshot --browser-profile openclaw --interactive
If you paste the interactive snapshot output of the login page here (it won’t include your password), I’ll tell you exactly which e… refs to use.
Next: plugins
If WP can install from wp-admin (no FTP prompt)
openclaw browser open --browser-profile openclaw https://YOURDOMAIN.com/wp-admin/plugin-install.php
openclaw browser snapshot --browser-profile openclaw --interactive
Then automate search → Install → Activate → Settings.
If managed WP prompts for FTP creds (common on hosted plans)
Do your “upload via FTP” step manually, then have OpenClaw just activate/configure:
openclaw browser open --browser-profile openclaw https://YOURDOMAIN.com/wp-admin/plugins.php
openclaw browser snapshot --browser-profile openclaw --interactive
Once you post the wp-admin login snapshot output, we can get you to “logged in + plugin page automation” in a couple commands.
Not sure I understand - what is "click eX"
eX was just me using “X” as a placeholder.
When you run:
openclaw browser snapshot --browser-profile openclaw --interactive
OpenClaw prints interactive elements with refs, like you already saw:
link "Learn more" [ref=e1]
That means: the reference ID for that element is e1.
So instead of “click eX”, you literally run:
openclaw browser click --browser-profile openclaw e1
Same idea for typing into a field. If the snapshot shows something like:
textbox "Username or Email Address" [ref=e4]
textbox "Password" [ref=e5]
button "Log In" [ref=e6]
You’d do:
openclaw browser click --browser-profile openclaw e4
openclaw browser type --browser-profile openclaw e4 "your-username"
openclaw browser click --browser-profile openclaw e5
openclaw browser type --browser-profile openclaw e5 "your-password"
openclaw browser click --browser-profile openclaw e6
Two important gotchas:
- Refs change after navigation. After you click “Log In”, run
snapshot --interactiveagain and use the new refs. - Don’t paste passwords into Discord. Type them only into the terminal running the command.
trident50@RobsUbuntu:~$ openclaw browser click e3
🦞 OpenClaw 2026.2.26 (bc50708) — If something's on fire, I can't extinguish it—but I can write a beautiful postmortem.
│
◇
Error: Error: Chrome extension relay is running, but no tab is connected. Click the OpenClaw Chrome extension icon on a tab to attach it (profile "chrome").
trident50@RobsUbuntu:~$
That error means your click command is accidentally targeting the chrome profile (the extension-relay one), not your managed openclaw profile.
So it’s saying “no tab is connected” because the Chrome extension isn’t attached (and you don’t need it right now).
Fix: always pass the profile on actions
Use:
openclaw browser click --browser-profile openclaw e3
Same for type/snapshot/etc:
openclaw browser snapshot --browser-profile openclaw --interactive
openclaw browser click --browser-profile openclaw e3
Optional: make openclaw the default so you stop tripping on this
openclaw config set browser.defaultProfile "openclaw"
openclaw gateway restart
After that, openclaw browser click e3 will default to the managed browser instead of the extension relay.
(If you do want to use the extension relay later, that’s when you use --browser-profile chrome and click the extension icon to attach the tab.)
openclaw config set browser.defaultProfile "openclaw"
🦞 OpenClaw 2026.2.26 (bc50708) — Less middlemen, more messages.
Config overwrite: /home/trident50/.openclaw/openclaw.json (sha256 cdaf926d82e831a6f8f3516ce75926ab74a1ad58bdc7b1a861ccb0504856ed68 -> 55a01d0bdd5f0e5fcc43950ac28f5f42a5d568f861b936531e59e4bf21e6d104, backup=/home/trident50/.openclaw/openclaw.json.bak)
Updated browser.defaultProfile. Restart the gateway to apply.
Perfect — that did exactly what we wanted.
Now do:
openclaw gateway restart
After the restart, two gotchas:
- The browser process may need to be started again:
openclaw browser start --browser-profile openclaw
openclaw browser status --browser-profile openclaw
- Your old
e3ref is no longer valid after a restart/navigation. So re-snapshot and use the new refs:
openclaw browser snapshot --interactive
# then
openclaw browser click e<new-number>
From here on, openclaw browser click e… should default to the openclaw profile (no more “extension relay / no tab connected” errors).
when I do e3 (password) and type it all in and hit enter, it then ADDS the command line after my password, removing the two exclamation marks I have at the end of my password
That’s your shell (bash) doing history expansion, not OpenClaw.
In bash, !! means “repeat the previous command”, and it does expand even inside double quotes. So when you type a password ending in !!, bash rewrites the command line and your !! “disappears”.
Fix options (pick one)
Option A (best): put the password in single quotes
Single quotes disable history expansion:
openclaw browser type e3 'YourPassword!!' --submit
Option B: escape the exclamation marks
openclaw browser type e3 "YourPassword\!\!" --submit
Option C: temporarily disable history expansion
set +H # or: set +o histexpand
openclaw browser type e3 "YourPassword!!" --submit
set -H
Bonus: avoid saving the password in your shell history
If you care even a little: do this so it doesn’t end up in ~/.bash_history:
read -s -p "WP password: " WP_PASS; echo
openclaw browser type e3 "$WP_PASS" --submit
unset WP_PASS
(History expansion happens before variable expansion, so !! inside $WP_PASS won’t get mangled.)
It worked! Now, is that login information persistent?
Mostly yes.
When you log in via the managed openclaw browser profile, WordPress sets cookies/local storage in that browser profile’s user-data-dir, so the session usually persists across:
- new tabs
- new browser actions
- restarting the gateway
It will not persist if:
- WordPress expires the session / logs you out (time-based, security plugins, etc.)
- you explicitly clear cookies/storage
- the browser profile/user-data-dir gets wiped
- you switch to a different browser profile (e.g.
chromeextension relay vsopenclaw)
Quick way to confirm later
After a restart, open wp-admin again:
openclaw browser open https://YOURDOMAIN.com/wp-admin/
openclaw browser screenshot
If you land on the dashboard, you’re still logged in. If you land on the login form, you need to log in again.
Tip
If you want this to be “sticky”, avoid “private/incognito” behavior (OpenClaw’s managed profile is not incognito by default) and don’t rotate admin cookies/sessions too aggressively in WP security plugins.
So now what? Openclaw can just login and work like it was me for the most part?
Pretty much, yes — within the limits of browser automation.
Now that the managed openclaw browser profile is logged into /wp-admin/, OpenClaw can usually “act like you” for:
- installing/activating plugins (if your host allows it without FTP prompts)
- configuring plugin settings pages / setup wizards
- creating/editing posts/pages
- changing theme options/customizer pages (sometimes fiddly)
- bulk actions in wp-admin
Where it commonly still stumbles:
- anything that triggers an FTP credentials prompt (managed hosts do this)
- flaky UI / popups / “are you sure?” dialogs
- CAPTCHAs/2FA (you said you don’t have those, so good)
- long “do 50 things” tasks unless you run it as sub-agents / cron
Concrete next step: go to the Plugins page and prove it can navigate + click
Run:
openclaw browser open https://YOURDOMAIN.com/wp-admin/plugins.php
openclaw browser snapshot --interactive
Then pick one safe action to test (like opening “Add New”):
openclaw browser click e<ref-for-Add-New>
openclaw browser snapshot --interactive
Then: tell it which plugins you want
If you give me your target plugin list (or just “affiliate + SEO + schema + caching”), I can suggest an order like:
- SEO (RankMath or Yoast)
- affiliate link management (Pretty Links / ThirstyAffiliates)
- schema/review boxes (depends on theme; sometimes a dedicated plugin)
- caching/performance (often host-provided; be careful stacking)
- analytics + consent (region-dependent)
And we can automate: search → install → activate → run wizard.
If you paste the snapshot --interactive output from plugins.php, I’ll tell you exactly which ref is “Add New” and what to click next.
It just sent me this message: The onboard browser connection to your WordPress admin is active, but the automated login attempt hit a snag due to missing input field references.
I’m working on fixing the interaction method to enter your username and password properly. I'll keep trying to log in so I can proceed with the site build.
That message is basically: the agent tried to type into the login form without having fresh element refs (the e1/e2/e3… ids from snapshot --interactive). Those refs are required for click/type, and they change whenever the page reloads/navigates.
Fast fix (you do it once, then the bot can keep going while logged in)
On the Ubuntu box:
openclaw browser open https://YOURDOMAIN.com/wp-admin/
openclaw browser snapshot --interactive
That will print lines like:
textbox "Username or Email Address" [ref=e4]textbox "Password" [ref=e5]button "Log In" [ref=e6]
Then run (replace refs + username/password):
openclaw browser type e4 "your-username"
openclaw browser type e5 'your-password!!' --submit # single quotes avoid the !! bash issue
# or:
# openclaw browser click e6
Verify you’re in:
openclaw browser screenshot
openclaw browser open https://YOURDOMAIN.com/wp-admin/plugins.php
openclaw browser snapshot --interactive
If you want the agent to fix itself (message to send it)
Send your OpenClaw agent something like:
“Before any click/type, run
browser snapshot --interactiveand use the returnedref=e…ids. Don’t reuse refs after navigation. You were missing input refs on the login form.”
If you paste the snapshot --interactive output of your WP login page here (no passwords), I can tell you exactly which refs are the username/password/login button so you don’t have to hunt.
I did it, I'm in no problem. Should I leave it logged in and have the agent try to do something or should I log out and let it start from the beginning to make sure it works?
Leave it logged in.
That’s the whole point of using the managed openclaw browser profile — once the session cookies are there, the agent can keep operating “as you” without redoing login every time. Logging out just creates extra failure points.
Do this now (quick “proof it can work” test)
- Go straight to Plugins list (no wizard pages, low risk):
openclaw browser open https://YOURDOMAIN.com/wp-admin/plugins.php
openclaw browser snapshot --interactive
- Then tell your agent a small concrete task, e.g.:
- “Go to Plugins → Add New and search for Rank Math SEO, but don’t install yet. Tell me what button you see.”
or - “Open the Plugins page and report which plugins are currently active.”
Why small first?
It confirms it can:
- navigate pages
- take a snapshot
- click/search
without getting stuck on missing refs again.
If it succeeds, then you ramp to: install + activate + configure.
If it fails with “missing ref” again, the fix is to teach it a rule: snapshot → act → snapshot (after every navigation).
give me another plugin I already have rnakmath sucurri site kit mailchimp
If you’re building a review / affiliate site and you already have RankMath + Sucuri + Site Kit + Mailchimp, the biggest “missing piece” is usually one of these (pick based on what you’re actually publishing):
1) Affiliate link management (recommended)
- Pretty Links or ThirstyAffiliates
Lets you create clean/go/product-namelinks, categorize them, and update destinations later without editing 200 posts.
2) Comparison tables (huge for review sites)
- TablePress
Easy way to build/spec tables + “best of” comparison tables. Low drama, usually no wizard.
3) Images/perf (only if the site feels slow)
- ShortPixel or Imagify (image compression)
- (Caching depends on IONOS plan; don’t stack caching plugins unless you know what IONOS already does.)
If you want one plugin to add next with immediate payoff: Pretty Links (if you’ll have lots of affiliate URLs) or TablePress (if you’ll have lots of comparison tables).
Tell me which you want, and I’ll give you the exact “wp-admin → Plugins → Add New → search/install/activate” steps for the browser automation (and what to click if WordPress shows an FTP prompt).
tablepress sounds good
TablePress is a great “boring but useful” pick.
Here’s the clean way to let OpenClaw install it via wp-admin (with your managed openclaw browser already logged in):
1) Go to “Add Plugins”
openclaw browser open https://YOURDOMAIN.com/wp-admin/plugin-install.php
openclaw browser snapshot --interactive
2) Search for TablePress
In the snapshot output, find the Search plugins… textbox ref (it’ll say textbox and usually “Search plugins…”). Then:
openclaw browser click e<searchRef>
openclaw browser type e<searchRef> "TablePress" --submit
openclaw browser snapshot --interactive
3) Install + Activate
Now you should see something like “Install Now” next to TablePress. Click it:
openclaw browser click e<installNowRef>
openclaw browser wait --text "Activate" # or just re-snapshot after ~2-5s
openclaw browser snapshot --interactive
openclaw browser click e<activateRef>
If you hit the managed-host “FTP credentials required” prompt
Stop there and tell me what the page says (or run openclaw browser screenshot). On some hosts, installing from wp-admin triggers an FTP prompt. If that happens, the workaround is:
- you upload TablePress via FTP (zip extracted into
wp-content/plugins/tablepress/)
- then we go to
plugins.phpand activate it (no FTP prompt)
If you paste the snapshot --interactive output for the plugin install page after searching “TablePress”, I’ll tell you exactly which e… is the correct “Install Now” button (there can be multiple).
Wait - why do I want to do this from the cli? I want openclaw to do it from the browser
Because right now you are the “hands” driving OpenClaw’s browser tool via the CLI. The CLI commands (openclaw browser click/type/...) are browser automation — they’re just a manual way to prove the pipeline works and to get you unstuck.
Once you confirm it can reliably:
- open wp-admin
- snapshot elements
- click/type
…then you stop doing the CLI steps and you just tell the agent in chat:
“Install and activate TablePress from wp-admin. Use browser snapshot → click/type → re-snapshot after each navigation.”
and it should run the same underlying browser tool calls by itself.
Why we do a “manual proof” first
Your earlier problem was exactly: the agent said “no problem” but didn’t actually execute the steps / got stuck on missing refs. Doing 3–5 CLI actions verifies:
- browser profile is correct (
openclaw, notchromerelay) - Playwright snapshots work
- it can click the right buttons
If you want to hand it off now
Do this:
- Make sure you’re logged into wp-admin in the managed browser (you are).
- Send the agent a very specific task:
“Go to https://YOURDOMAIN.com/wp-admin/plugin-install.php, search for ‘TablePress’, install it, activate it. If you hit an FTP credentials prompt, stop and tell me exactly what prompt you see.”
If it still “snags”, the fastest way to debug is you paste the snapshot --interactive output and we point it at the right refs.
So: the CLI is just the debugging/control surface. The goal is absolutely “OpenClaw does it in the browser.”
Krill, you're an openclaw agent?
Yep. I’m Krill — an OpenClaw support agent hanging out in the Discord to help people get their own OpenClaw instance unstuck.
I’m not running on your server and I can’t directly click/type in your wp-admin. What I can do is:
- explain what’s happening
- tell you exactly what commands/settings to use
- help interpret your outputs/logs
Your OpenClaw instance is the one actually driving the browser (openclaw browser … / browser tool) on your Ubuntu box.
So - how come my instance of openclaw doesn't have your knowledge???
Because your OpenClaw instance isn’t “Krill” — it’s just a gateway + a model + your workspace files.
What you’re seeing as “my knowledge” is really a mix of:
-
Different system prompt / role
- In this Discord, I’m running as a support agent with a very opinionated playbook (docs-first, common failure modes, etc.).
- Your instance has whatever you put in
AGENTS.md/SOUL.md(and earlier it was also stuck in bootstrap mode becauseBOOTSTRAP.mdwas still present).
-
Your instance doesn’t automatically accumulate durable memory
- OpenClaw doesn’t “train itself” from chats.
- It only remembers durably if it writes files (like
MEMORY.mdormemory/*.md) and then later reads them back (or uses memory search if configured). - If it never wrote
MEMORY.md(or didn’t know it should), it will act like it “forgot.”
-
Model + context limitations
- If your session reset/compacted, or the agent didn’t re-load the right files, it’ll look like it lost its brain.
- Also, different models behave very differently with tools (browser/exec). (For model picks, check
/modeland the server’s #models channel—don’t guess.)
If you want your instance to behave more like this thread’s “Krill-style” support brain, the fastest win is to put a little “operating policy” into AGENTS.md, e.g.:
- “For browser work: always
snapshot --interactive→ click/type using refs → re-snapshot after every navigation.” - “For long tasks: use sub-agents; don’t claim work is running for hours unless a sub-agent/cron is actually started.”
- “Write durable decisions/templates into
MEMORY.md.”
You don’t need to start over—your setup is finally in a good state now (no bootstrapping, browser working, wp-admin logged in). The next step is just making the agent follow a consistent playbook.
It's been 9 minutes and it still hasn't updated me on the TablePress intall. It logged into the dashboard on it's, no problems! But I feel it's just idling, it should take this long.
9 minutes with no progress usually means it’s stuck mid-run, most commonly on one of these:
- it navigated, but didn’t re-
snapshotso it has no refs (“missing input field references” style) - it hit an FTP/filesystem credentials prompt (managed hosts love this)
- it’s sitting on a spinner / modal / update nag
- it’s simply not running anything (no sub-agent / no background job actually started)
Fastest way to see what’s happening: take a screenshot + snapshot right now
On the Ubuntu box, run:
openclaw browser screenshot
openclaw browser snapshot --interactive
- The screenshot tells us exactly what page it’s stuck on.
- The interactive snapshot tells us what clickable buttons/fields exist right now.
If you paste the snapshot output here (and/or share the screenshot path), I can tell you what to click next (or confirm it’s an FTP prompt).
Also check whether it’s even “working” vs idle
Run:
openclaw status
If it shows no active run, then it wasn’t actually doing work in the background (classic “it said ok but didn’t start a long task” problem). In that case, the fix is: explicit sub-agent for the TablePress install so it keeps working and reports back.
But first: screenshot + snapshot will reveal the truth in 10 seconds.
Here are the outputs from those two commands: https://pastes.io/link-skip-
That snapshot shows you’re already inside wp-admin on the Dashboard page (left sidebar is visible), and there’s an “Add Plugin” link:
link "Add Plugin" [ref=e45]
So you’re not “stuck” on TablePress right now — you’re just sitting on the Dashboard.
Install TablePress (using the browser you already have open)
- Go to “Add Plugin”:
openclaw browser click e45
openclaw browser snapshot --interactive
- In the new snapshot, find the Search plugins… textbox ref, then:
openclaw browser click e<searchRef>
openclaw browser type e<searchRef> "TablePress" --submit
openclaw browser snapshot --interactive
- In that next snapshot, find the Install Now button that corresponds to TablePress:
openclaw browser click e<installRef>
openclaw browser snapshot --interactive
openclaw browser click e<activateRef> # once it changes to “Activate”
If you paste the next snapshot --interactive output after clicking e45, I can point at the exact e… refs for the Search box + the correct “Install Now” (there are often multiple install buttons on that page).
Why your agent didn’t “update you”
Your openclaw status shows no active run right now — so it’s very likely the agent isn’t actually running anything in the background. For “do a bunch of steps and keep going”, you’ll eventually want to use a sub-agent/cron, but the quickest path to success is the 3-step click/search/install flow above.
The other thing - when openclaw started the browser and logged in there were two tabs - one the dashboard the other "about:blank"
Totally normal.
When OpenClaw starts the managed browser, it often creates/keeps an about:blank tab as a “starter” tab for the CDP connection (basically: the browser needs some tab open even before you navigate anywhere). Then when you open a URL, you end up with a second tab (your wp-admin/dashboard).
You can:
Option A: Ignore it
It doesn’t hurt anything. Just make sure you’re focused on the real tab when you’re debugging by hand.
Option B: Close it (recommended to reduce confusion)
openclaw browser tabs
# find the about:blank tab id
openclaw browser close <ABOUT_BLANK_TAB_ID>
If you ever see weird behavior (“I’m clicking but nothing happens”), it’s usually because the active/focused tab is the blank one. In that case:
openclaw browser tabs
openclaw browser focus <REAL_TAB_ID>
So: having about:blank sitting there is expected, and closing it is safe.
I've already used the click and type steps to install a plugin - it works. So I gave openclaw the task of installing TablePress
If you can install it manually via openclaw browser click/type, but “the agent” is idling, it’s almost always one of these:
- it never actually started a run (it just said “ok”)
- it started, but got stuck on a page state (FTP prompt / modal / spinner)
- it’s trying to reuse stale refs (didn’t
snapshot --interactiveafter navigation) - the agent is tool-blocked (e.g.
browsernot allowed by tool policy) and is failing silently-ish
Do this quick triage right now on the Ubuntu box:
A) See what the browser is currently showing
openclaw browser tabs
openclaw browser screenshot
openclaw browser snapshot --interactive
If the screenshot/snapshot show you’re still on Dashboard, it never even navigated to “Add Plugins”.
B) See whether the agent is actually running anything
openclaw status
If there’s no active run, it’s not “working in the background”.
C) Tail logs while you re-issue the “install TablePress” instruction
In one terminal:
openclaw logs --follow
Then re-send the instruction to your OpenClaw bot. In the logs, look for errors like tool denied, browser error, or missing refs.
A prompt that tends to work (paste to your bot)
“Install and activate TablePress via wp-admin. Use the managed browser profile. After every navigation/click, run browser snapshot --interactive again and use fresh ref=e… values. Stop and report if you see any FTP credentials prompt or a modal.”
If you paste the current snapshot --interactive output (like the one with Add Plugin [ref=e45]), I can point to exactly what it should click next and what to look for when TablePress search results appear.
Pulled up your paste — two key things are happening:
- Your browser session is fine and you’re on the WP dashboard.
tabsshows the real tab:
https://technologysolutions.com/wp-admin/index.php(id7C36…)
and yoursnapshot --interactiveis returning refs, including:
- Add Plugin =
ref=e45
openclaw browser screenshotis failing only because the CLI timed out (20s).
That line is not a WordPress problem, it’s theopenclaw browserCLI request timeout:
Error: gateway timeout after 20000ms
If you want screenshots reliably, rerun with a bigger timeout:
openclaw browser --timeout 60000 screenshot
(or just rely on snapshot --interactive since it’s working.)
Why your agent “idles” on TablePress install
When people say “I gave it the task and it’s doing nothing”, it’s usually because no run is actually executing tools (or it hit a prompt/state and didn’t re-snapshot).
Fastest way to confirm what’s going on:
A) Watch logs while you re-issue the TablePress instruction
In one terminal:
openclaw logs --follow
Then tell your bot again: “Install and activate TablePress.”
If it’s attempting the browser tool, you’ll see browser actions/log lines. If it’s blocked, you’ll see “tool denied” / errors. If you see nothing: it’s not running anything.
B) If you just want to finish the install right now (guaranteed)
Since your snapshot already includes Add Plugin [ref=e45], the next step is literally:
openclaw browser click e45
openclaw browser snapshot --interactive
Then search “TablePress”, click “Install Now”, then “Activate” (refs will be in the new snapshot).
If you paste the next snapshot --interactive output after clicking e45, I can point at the exact refs for the search box + the correct TablePress “Install Now” button (there are often multiple install buttons on that page).
It seems to be just be hanging there at the end: https://pastes.io/014132-deb
That paste explains it: it’s not idling, it’s failing.
Two separate failures show up in the logs:
- Model provider rate limit
⚠️ API rate limit reached. Please try again later.
When that happens, the agent can’t keep “thinking” / planning the next browser steps, so it looks like it’s hanging.
- Browser step timed out trying to fill the plugin search box
browser failed: TimeoutError: locator.fill: Timeout 8000ms exceeded.
waiting for locator('aria-ref=aria/searchbox')
That usually means it tried to type into a search field that wasn’t on the page it thought it was on (or it didn’t re-snapshot after navigation, so it used the wrong ref).
What to do now (fastest path)
A) Don’t wait for the agent — finish TablePress install via the working browser flow
Your snapshot --interactive shows Add Plugin is ref=e45 on the dashboard sidebar.
Run:
openclaw browser click e45
openclaw browser snapshot --interactive
Then in that new snapshot, use the actual textbox ref for “Search plugins…” and type TablePress, then click the correct “Install Now” / “Activate” refs.
If you paste the snapshot output after clicking e45, I’ll point out exactly which ref to use for the search box + the right Install button.
B) Fix the “agent hangs” part (rate limit)
You have to either:
- wait for the rate limit window to reset, or
- switch to a different model/provider (use
/modeland pick another available one)
(If you want model advice, best place is the server’s #models channel—limits change constantly.)
C) Screenshot timing out is just a CLI timeout
Your earlier openclaw browser screenshot failed with a 20s gateway timeout. You can bump it:
openclaw browser --timeout 60000 screenshot
If you want the agent to succeed next time, give it this rule in the task:
“After every click/navigation, run
browser snapshot --interactiveagain and only click/type using the new refs. Don’t assume there is anaria/searchbox.”
That one change eliminates 90% of “it got stuck” in wp-admin automation.
Why do you want me to install that plugin via cli? First, I was just using that as a test for openclaw and second, I can install plugins all day long from the GUI - so is there some technocal reason you want me to do it from the cli?
No technical reason. I don’t want you to install plugins via CLI long‑term.
The CLI commands are just a debugging remote control for the same browser automation OpenClaw uses internally. They’re useful when:
- the agent says “I’m working on it” but you need to see exactly what page it’s on
- it gets stuck because it didn’t re‑
snapshot(stale refs) - you hit a host prompt (FTP creds / modal) and need to click one thing to unblock it
- you’re diagnosing whether the failure is browser/tooling vs model rate limit
In your own logs we saw both:
- API rate limit reached (agent can’t think → appears to “idle”)
- browser action timing out waiting for a searchbox it thought existed
That’s why I had you do a couple CLI steps: it proves “the browser pipeline works” and unblocks the current stuck state.
The real goal
Once the pipeline is stable, you should be doing exactly what you want:
Tell OpenClaw in chat: “Install TablePress”
…and it runs the browser tool itself.
What to change so it actually does that reliably
When you give it the task, include this one rule:
“After every navigation/click, run
browser snapshot --interactiveagain and only use freshref=e…values. Don’t reuse refs.”
And if you keep hitting rate limits, switch to a model/provider with more headroom (or just wait for the window to reset).
So: use the GUI manually if you want. Use CLI only as the “diagnostic steering wheel” when the agent flakes out.
will this chat session stay here overnight?
Probably not reliably.
OpenClaw sessions are designed to expire after idle (default is ~60 minutes), and the next message will start a new session. That’s why you were seeing “it forgot everything” earlier.
If you want continuity overnight, do one of these:
- Write the current state to files (best)
- Put durable stuff in
MEMORY.md - Put today’s working notes in
memory/YYYY-MM-DD.md
Then even if the chat session resets, the agent can read those back.
- For long tasks, use sub-agents or cron
That’s how you get “work while I sleep” + a summary when you return:
https://docs.openclaw.ai/tools/subagents
https://docs.openclaw.ai/automation/cron-jobs
If you want, tell your bot: “Before we stop tonight, summarize what we accomplished + what’s next and write it to MEMORY.md.”
I mean this chat, wiht you - Krill - will I be able to pick up tomorrow where we leave off tonight?
The Discord thread will still be here tomorrow, but I can’t guarantee I’ll automatically have full context loaded when you come back (bots/agents don’t have perfect “yesterday memory” unless the important bits are restated or written down somewhere durable).
To make “pick up where we left off” actually work, do this before you log off tonight:
Leave a short “recap” message in this thread
Something like:
- OpenClaw version:
2026.2.26 - Fixed: renamed
BOOTSTRAP.md→ bootstrapping now ABSENT - Browser: managed profile
openclawrunning, defaultProfile set toopenclaw - WP admin: logged in successfully (no 2FA/captcha)
- Current blockers: agent hits API rate limit, and sometimes browser actions time out / stale refs
- Key paste links:
…
Tomorrow, just reply in this same thread with “continuing from recap above” (and link it again if needed), and we’ll be back at full speed.
(Separate but related: your own OpenClaw chat sessions often expire after idle overnight, so doing the same “write a recap to MEMORY.md” trick on your instance is also worth it.)
How many sessions like this are you able to do per day?
I don’t have a hard daily “session limit” I can tell you from here. What actually limits it in practice is:
- Your patience / time
- Rate limits from whatever model/provider you’re using (you already hit “API rate limit reached” in your logs)
- Context size (long threads get harder to keep perfectly coherent unless you recap)
- Human bandwidth in the Discord (sometimes you’ll just be waiting on replies)
If you mean “how many long troubleshooting threads can you run with OpenClaw per day”, the honest answer is: a few deep ones is usually fine, but it gets inefficient fast unless you:
- keep each thread on one topic
- drop a short recap message when you pause
- move repeatable steps into
MEMORY.md/AGENTS.mdso you’re not re-explaining
If you’re asking about your OpenClaw instance doing long work per day: that’s mostly token cost + provider rate limits, and you can see the hard facts with:
openclaw status
openclaw models status
If you tell me which provider/model you’re using (looks like gpt-4.1-mini from your status), I can tell you the most common way people avoid getting rate-limited: set a better default model for tool runs, and/or add a fallback model so it doesn’t just stall when one provider throttles.
Why would my openclaw dashboard be telling me my API rate limit has been reached 14 hours after I last used it?
Because your Gateway is still making model calls even when you aren’t actively chatting.
The two big causes are:
1) Heartbeat runs (default: every 30 minutes)
By default OpenClaw runs a heartbeat every 30m. If your HEARTBEAT.md isn’t empty (or your config explicitly sets a heartbeat), that’s a “background job” that can hit your model API and trigger a 429/rate-limit while you’re asleep.
You can confirm your heartbeat is on via:
openclaw status
If you want it to stop doing that, disable it:
openclaw config set agents.defaults.heartbeat.every "0m" --json
openclaw gateway restart
(Alt: make HEARTBEAT.md effectively empty; OpenClaw will skip heartbeat runs to save calls.)
2) Something else is still triggering runs
Even if you didn’t type anything for 14 hours, runs can still happen if:
- a channel (Telegram/Discord/etc) received a message/mention
- a cron job exists
- you left WebChat/Dashboard open and it retried a failed run (less common, but possible)
Check for cron jobs:
openclaw cron list
openclaw cron runs --limit 20
Quick way to prove what actually caused it (logs)
Look for “heartbeat” / “rate limit” / “429” in the latest log:
tail -n 300 "$(ls -t /tmp/openclaw/openclaw-*.log | head -1)" | rg -i "heartbeat|rate limit|429"
If you paste the few matching lines, I can tell you exactly which path triggered the calls (heartbeat vs inbound message vs cron).
trident50@RobsUbuntu:~$ tail -n 300 "$(ls -t /tmp/openclaw/openclaw-*.log | head -1)" | rg -i "heartbeat|rate limit|429"
Command 'rg' not found, but can be installed with:
sudo snap install ripgrep # version 12.1.0, or
sudo apt install ripgrep # version 13.0.0-2ubuntu0.1
See 'snap info ripgrep' for additional versions.
No worries — ripgrep (rg) just isn’t installed on that Ubuntu box.
Use plain grep instead:
tail -n 300 "$(ls -t /tmp/openclaw/openclaw-*.log | head -1)" | grep -Ei "heartbeat|rate limit|429"
If you want a slightly wider net:
tail -n 800 "$(ls -t /tmp/openclaw/openclaw-*.log | head -1)" | grep -Ei "heartbeat|rate limit|429|HTTP 429|Too Many Requests"
Paste whatever lines that prints.
Also, you can quickly check whether heartbeat is enabled (it probably is) with:
openclaw config get agents.defaults.heartbeat.every
trident50@RobsUbuntu:~$ tail -n 300 "$(ls -t /tmp/openclaw/openclaw-*.log | head -1)" | grep -Ei "heartbeat|rate limit|429"
{"0":"{"subsystem":"agent/embedded"}","1":"embedded run agent end: runId=43623986-e6f4-4f44-a6db-d0b875d3743d isError=true error=⚠️ API rate limit reached. Please try again later.","_meta":{"runtime":"node","runtimeVersion":"22.22.0","hostname":"unknown","name":"{"subsystem":"agent/embedded"}","parentNames":["openclaw"],"date":"2026-03-02T01:15:40.095Z","logLevelId":4,"logLevelName":"WARN","path":{"fullFilePath":"file:///home/trident50/.npm-global/lib/node_modules/openclaw/dist/subsystem-DypCPrmP.js:1170:14","fileName":"subsystem-DypCPrmP.js","fileNameWithLine":"subsystem-DypCPrmP.js:1170","fileColumn":"14","fileLine":"1170","filePath":".npm-global/lib/node_modules/openclaw/dist/subsystem-DypCPrmP.js","filePathWithLine":".npm-global/lib/node_modules/openclaw/dist/subsystem-DypCPrmP.js:1170","method":"logToFile"}},"time":"2026-03-02T01:15:40.096Z"}
{"0":"{"subsystem":"agent/embedded"}","1":"embedded run agent end: runId=43623986-e6f4-4f44-a6db-d0b875d3743d isError=true error=⚠️ API rate limit reached. Please try again later.","_meta":{"runtime":"node","runtimeVersion":"22.22.0","hostname":"unknown","name":"{"subsystem":"agent/embedded"}","parentNames":["openclaw"],"date":"2026-03-02T01:15:50.335Z","logLevelId":4,"logLevelName":"WARN","path":{"fullFilePath":"file:///home/trident50/.npm-global/lib/node_modules/openclaw/dist/subsystem-DypCPrmP.js:1170:14","fileName":"subsystem-DypCPrmP.js","fileNameWithLine":"subsystem-DypCPrmP.js:1170","fileColumn":"14","fileLine":"1170","filePath":".npm-global/lib/node_modules/openclaw/dist/subsystem-DypCPrmP.js","filePathWithLine":".npm-global/lib/node_modules/openclaw/dist/subsystem-DypCPrmP.js:1170","method":"logToFile"}},"time":"2026-03-02T01:15:50.336Z"}
{"0":"{"subsystem":"agent/embedded"}","1":"embedded run agent end: runId
That log snippet answers it: the rate limit wasn’t “14 hours later” — the Gateway hit it at 2026-03-02 ~01:15:
error=⚠️ API rate limit reached...- twice, 10 seconds apart
What’s confusing you is the dashboard is showing the last error it saw, not necessarily “you are currently rate-limited right this second”.
Why would it happen when you weren’t actively using it?
The usual culprits
- Heartbeat (background runs)
Your earlieropenclaw statusshowedHeartbeat: 30m (main). That means it will run and call the model even if you haven’t touched it.
Check:
openclaw config get agents.defaults.heartbeat.every
Disable (if you don’t want background calls):
openclaw config set agents.defaults.heartbeat.every "0m" --json
openclaw gateway restart
- A webchat/dashboard run or retry
If the Control UI / webchat is open, it can trigger “embedded” runs. In your earlier logs, I sawmessageChannel=webchaton runs.
To confirm what triggered it (heartbeat vs webchat vs channel)
Search the same log around that timestamp for “run start” / “messageChannel”:
tail -n 1200 "$(ls -t /tmp/openclaw/openclaw-*.log | head -1)" | grep -E "run start|messageChannel|heartbeat" | tail -n 50
Quick sanity check: are you still rate-limited?
Send your bot a trivial message (e.g. “ping”) and see if it replies now. If it replies, the dashboard warning was just the last error and you’re already past it. If it still fails, you may be on a longer quota window (daily/hourly).
If you paste the output of that last grep command, I can tell you exactly what triggered those 01:15 calls.
It says "HEARTBEAT_OK" - so that's good. Tell me about the heartbeat quickly - I know how I used to configure heartbeats for failovers on email servers, but what's the purpose in openclaw - is it to keep the session active?
means your heartbeat just ran and it had nothing to do — so yeah, that part is healthy. In OpenClaw, a **heartbeat is not a “keepalive”**. It’s a **scheduled, full agent turn** that runs everyagents.defaults.heartbeat.every(default30m) with a special prompt like “Read HEARTBEAT.md…”. ### What it’s for - **Proactive automation**: “every 30m, check X and alert me if something changed” - **Lightweight monitoring / reminders**: “if I haven’t posted today, remind me”, “check if my site is down”, “summarize new items” - **Background routines** when you’re not messaging it ### What it is *not* for - It does **not** keep your chat session from expiring/resetting. - It does **not** prevent memory loss by itself (unless your heartbeat prompt tells it to write notes). ### Why it matters for your rate limits Because each heartbeat is a real model call. If it runs every 30 minutes all day, that can burn quota and hit “API rate limit reached” even when you aren’t chatting. ### Control knob - Disable: agents.defaults.heartbeat.every: "0m"- Change frequency:"2h", "6h"`, etc. If you want, tell it to use a cheap model for heartbeat runs so it doesn’t burn your main model quota (config supports a heartbeat model override).
Can I configure openclaw to use different models for different tasks or auto-rollover to another model when an api limit is reached?
Yes — OpenClaw supports both:
- Different models for different kinds of work, and
- Automatic failover when you hit things like HTTP 429 / rate limits.
1) Different models for different tasks
You have a few “levels” you can use:
- Per-session (quick/manual): use
/modelin chat to switch the current session’s model. - Per-agent (best for roles): make multiple agents (e.g. “writer”, “ops”, “browser”) and give each agent its own default model. Then route work to the right agent (or spawn sub-agents).
- Per-cron job (best for background tasks): cron isolated jobs can set a
modeloverride without affecting your main chat session model. Docs: https://docs.openclaw.ai/automation/cron-jobs#model-and-thinking-overrides - Heartbeat model override: heartbeats can run on a different model via
agents.defaults.heartbeat.model(useful so heartbeats don’t burn/limit your main model). Docs: https://docs.openclaw.ai/help/faq#why-am-i-getting-heartbeat-messages-every-30-minutes
2) Auto-rollover / failover when rate-limited
OpenClaw failover happens in two stages (this is exactly what you want):
- Auth profile rotation inside the same provider (if you have multiple keys/logins configured)
- Model fallback to the next model in
agents.defaults.model.fallbacks
Docs: https://docs.openclaw.ai/concepts/model-failover
Model selection overview: https://docs.openclaw.ai/concepts/models
So if your primary model gets 429’d, OpenClaw can automatically try the next fallback model/provider you configured.
Practical setup knobs (no guessing model names)
- Add fallbacks:
agents.defaults.model.fallbacks - Make sure the models you want are allowed (if you use a catalog):
agents.defaults.models - Inspect what OpenClaw thinks is configured + working:
openclaw models status openclaw models list
If you tell me how you want to split tasks (e.g. “cheap model for heartbeat + browsing, stronger model for writing posts”), I can suggest the cleanest config shape — without guessing specific model IDs (you can pick from openclaw models list).
Yes, Im getting that api rate limit reached again. Can you help me check configuration and see what I have setup for models, failover, etc...and then I'll configure for models for tasks
Yep — we can sanity-check exactly what you have configured (primary model, fallbacks, auth profiles, and whether heartbeat/cron is what’s chewing quota).
Run these on the Ubuntu box and paste the outputs (pastes.io is fine). They’re read-only and should not leak secrets:
1) What model(s) are configured + what failover is available
openclaw models status
openclaw models fallbacks list
2) What your agent defaults are set to in config
openclaw config get agents.defaults.model.primary
openclaw config get agents.defaults.model.fallbacks
openclaw config get agents.defaults.imageModel.primary
openclaw config get agents.defaults.imageModel.fallbacks
3) Is heartbeat burning calls (very common)
openclaw config get agents.defaults.heartbeat.every
openclaw config get agents.defaults.heartbeat.model
4) Any cron jobs running in the background
openclaw cron list
openclaw cron runs --limit 20
5) (Optional but super useful) show which provider actually rate-limited you
tail -n 800 "$(ls -t /tmp/openclaw/openclaw-*.log | head -1)" | grep -Ei "rate limit|429|too many requests" | tail -n 50
Once I see those, I’ll tell you exactly:
- whether you actually have fallbacks configured (and why they didn’t kick in)
- whether your model allowlist is preventing fallback
- whether heartbeat/cron is the thing causing “rate limit reached when I wasn’t using it”
- the cleanest setup for “different models for different tasks” (main chat vs browser automation vs heartbeat)
One immediate lever while you’re debugging (optional): temporarily disable heartbeat so you stop burning quota in the background:
openclaw config set agents.defaults.heartbeat.every "0m" --json
openclaw gateway restart
Pulled up your paste — your current model/failover config is super clear, and it explains exactly why you keep hard-stalling on 429s:
What you have right now (from openclaw models status)
- Primary/default model:
openai/gpt-4.1-mini - Configured models:
openai/gpt-4.1-mini+openai/gpt-5.1-codex(aliasGPT) - Fallbacks: none (
Fallbacks (0)) - Auth profiles: 1 OpenAI API key (so no within-provider rotation either)
So when OpenAI throws API rate limit reached, OpenClaw has nowhere to roll over to → you get a hard error and the agent “hangs”.
Step 1: Add at least one fallback (takes 10 seconds)
Since you already have openai/gpt-5.1-codex configured, the simplest first fallback is:
openclaw models fallbacks add openai/gpt-5.1-codex
openclaw models fallbacks list
This enables model fallback when the primary fails.
Important caveat: if your rate limit is account-wide for OpenAI, falling back to another OpenAI model might still hit the same limit. Which leads to…
Step 2 (recommended): Add a fallback on a different provider
To actually survive OpenAI 429s, you usually want at least one fallback model on another provider (Anthropic / etc.). The clean way is:
openclaw models auth add
(that’s the interactive “add provider credentials” helper), then add one of the newly-available models as a fallback.
I’m not going to name specific model IDs here because they change constantly; use:
openclaw models list
…pick from your list, then:
openclaw models fallbacks add <provider/model-from-your-list>
Step 3: Stop background token burn while you’re debugging (Heartbeat)
Even though agents.defaults.heartbeat.* isn’t set in your config, OpenClaw heartbeats are enabled by default (and they do make model calls).
If you want to eliminate surprise rate-limit hits while you’re setting this up, temporarily disable heartbeat:
openclaw config set agents.defaults.heartbeat.every '"0m"' --json
openclaw gateway restart
(You can turn it back on later at "2h" or similar, and optionally set agents.defaults.heartbeat.model to a cheaper model.)
Docs: https://docs.openclaw.ai/gateway/heartbeat
Why your “cron runs” command errored
openclaw cron runs requires an --id, and you have no cron jobs anyway (No cron jobs.), so you can ignore that for now.
If you paste openclaw status (just the Overview block is enough), I can confirm whether heartbeat is currently firing and what your default model/session is doing right now.
Let's remove the 5.1 codex as a fallback and use gpt-5-mini instead
From your paste earlier, you currently have no fallbacks configured (Fallbacks (0)), so “remove codex as a fallback” might be a no-op unless you added it since then.
Do this on the Ubuntu box:
1) Remove Codex from fallbacks (safe even if it’s not there)
openclaw models fallbacks remove openai/gpt-5.1-codex
2) Add GPT‑5 mini as the fallback
First, verify the model ID exists in your model list:
openclaw models list --plain | grep -i "gpt-5.*mini" || true
Then add it:
openclaw models fallbacks add openai/gpt-5-mini
openclaw models fallbacks list
openclaw models status
If fallbacks add errors with “Model … is not allowed”
That means you have an allowlist (agents.defaults.models) and openai/gpt-5-mini isn’t in it yet. Fix by adding it to your config allowlist (either via your editor or openclaw configure), then retry the fallbacks add.
Also: if your rate limit is account-wide for OpenAI, switching from Codex → GPT‑5 mini might still hit the same 429. The real “survive 429s” setup is adding at least one fallback on a different provider too.
Where does openclaw get/store the WP REST API credentials and is it the same place it stores the WP admin dashboard credentials too? I created a separate admin username and password, and an application password, just for openclaw and I want to change them so it's using those credentials moving forward
OpenClaw does not have a special “WordPress credentials store”.
It only knows WordPress creds in one of these places (depending on how you set it up):
1) WP REST API credentials (Application Password)
If you’re using WP REST, the “credentials” are typically:
- WP username + Application Password (used as HTTP Basic auth), or
- some token/plugin-based auth
OpenClaw would only have that if you:
- put it in your config (
~/.openclaw/openclaw.json), or - put it in env vars (
~/.openclaw/.envor the systemd service env), or - wrote it into workspace files (AGENTS/MEMORY/etc — not recommended), or
- it lives only in your chat history (not durable, but possible)
There’s no automatic capture unless you explicitly gave it the secret somewhere.
2) WP admin dashboard login credentials (browser automation)
Those are not stored as username/password by OpenClaw.
When you log into wp-admin via the managed openclaw browser profile, WordPress sets cookies in that browser profile’s user-data-dir. That’s what persists.
So if you want it to use a new WP admin user:
- open wp-admin in the managed browser
- log out
- log back in with the new user
- (optional) clear cookies for a clean slate
Useful commands:
openclaw browser open https://YOURDOMAIN.com/wp-admin/
openclaw browser cookies # view cookies (not the password)
openclaw browser cookies clear # clears cookies for the current profile
openclaw browser storage local clear
openclaw browser storage session clear
What you should do to “switch to the new creds”
A) For REST API
Find where you configured it originally:
openclaw config get | grep -i wordpress
(If that returns nothing, it’s probably in env vars or was only ever pasted into chat.)
Then update:
~/.openclaw/openclaw.jsonor~/.openclaw/.env(best for secrets when running as a service)
Restart after env/config changes:
openclaw gateway restart
B) For wp-admin browser login
From the managed browser profile:
- Go to
/wp-admin/→ logout - Login with the new admin user
(Or just clear cookies and log in fresh.)
If you tell me how you currently have OpenClaw posting via REST (did you set it in config/env, or did you just paste creds into chat?), I can point you to the exact file/command to update. Also, if you run:
openclaw status --all
it will show whether you’re using WebChat/Telegram/etc and helps narrow down where the bot was configured from.
trident50@RobsUbuntu:~$ openclaw config get | grep -i wordpress
error: missing required argument 'path'
Yep — openclaw config get needs a path, it can’t dump the whole config.
Do this instead (it prints the config file path), then search the file:
1) Find your config file
openclaw status --all | grep -E "^│ Config"
It’ll usually be ~/.openclaw/openclaw.json.
2) Search the config file for WP/REST credentials (without printing the whole file)
grep -Ein "wordpress|wp-json|rest|application password|basic auth" ~/.openclaw/openclaw.json
3) Also check your service/env secrets (very common place for creds)
grep -Ein "wp|wordpress|rest|application" ~/.openclaw/.env 2>/dev/null || true
systemctl --user show openclaw-gateway --property=Environment | grep -Ei "WP|WORDPRESS|REST" || true
What you’ll likely find:
- REST API creds are in
~/.openclaw/.env(best practice) or were hardcoded somewhere inopenclaw.json/ a custom skill file. - WP admin dashboard login is not stored as a username/password anywhere — it’s stored as cookies in the managed browser profile. To switch users, you log out/log in (or clear cookies).
If you paste the output of those grep commands (redact any secrets), I can tell you exactly where OpenClaw is currently sourcing the WP REST credentials so you can rotate them safely.
trident50@RobsUbuntu:~$ grep -Ein "wp|wordpress|rest|application" ~/.openclaw/.env 2>/dev/null || true
trident50@RobsUbuntu:~$ systemctl --user show openclaw-gateway --property=Environment | grep -Ei "WP|WORDPRESS|REST" || true
trident50@RobsUbuntu:~$ grep -Ein "wordpress|wp-json|rest|application password|basic auth" ~/.openclaw/openclaw.json
56: "restart": true,
trident50@RobsUbuntu:~$
OpenClaw doesn’t have a built-in “WordPress credential vault”. It only uses whatever you gave it (env vars, config, workspace files, chat/session history) + for wp-admin it uses browser cookies.
WP Admin dashboard creds (browser automation)
These are not stored as username/password anywhere. When you log into /wp-admin/ in the managed openclaw browser profile, WP sets cookies in that browser profile’s user-data-dir.
To switch the wp-admin user OpenClaw is acting as:
openclaw browser open https://YOURDOMAIN.com/wp-admin/
# log out in the UI (or clear cookies)
openclaw browser cookies clear
openclaw browser storage local clear
openclaw browser storage session clear
# then log in again with the new dedicated admin user
WP REST API creds (Application Password)
If REST posting is working, those creds are coming from somewhere — but your greps show:
- nothing in
~/.openclaw/.env - nothing meaningful in
~/.openclaw/openclaw.json(your earlier “rest” match was just matching"restart")
That usually means the REST creds are in one of:
- a workspace file (instructions / memory / a custom script/skill config)
- session transcripts (
~/.openclaw/agents/main/sessions/*.jsonl) - shell history (if you ran
curl -u user:app-pass ...manually/through exec)
Find where they are (don’t paste secrets back here)
Search for your domain / wp-json / Authorization in likely places:
# workspace (most common)
grep -RInE "technologysolutions\\.com|wp-json|Authorization:|application password|app-password" ~/.openclaw/workspace
# session history (might contain what you pasted in chat)
grep -RInE "technologysolutions\\.com|wp-json|Authorization:|application password|app-password" ~/.openclaw/agents/main/sessions 2>/dev/null | head -50
# logs (if a tool printed the request)
grep -Ein "wp-json|technologysolutions\\.com|Authorization|application password|app-password" /tmp/openclaw/openclaw-*.log | tail -50
If any of those commands prints lines that include credentials, stop and just note the file path (edit locally, don’t paste the secret into Discord).
Best practice going forward (so rotation is easy)
Put the REST creds in ~/.openclaw/.env (service-friendly) and restart:
nano ~/.openclaw/.env
openclaw gateway restart
Then have your WP REST “posting” mechanism (script/skill/exec command) read from env vars instead of hardcoding.
If you tell me how your instance is currently doing REST writes (browser vs an exec curl script vs a custom skill), I can point you to the exact file to update so it uses the new dedicated WP user + app password.
What is the "managed openclaw browser profile" - where is that?
The “managed openclaw browser profile” is OpenClaw’s own dedicated Chrome profile that the Gateway launches and controls. It’s not the Chrome extension, and it’s not your personal Chrome profile.
What it is
- A separate browser instance/profile named
openclaw - Controlled via the
browsertool /openclaw browser …commands - Keeps its own cookies/sessions (so your wp-admin login persists there)
Docs: https://docs.openclaw.ai/tools/browser
Where it “lives”
It lives on the machine running the Gateway (your Ubuntu box). OpenClaw stores the profile’s user data under your OpenClaw state dir (so it can persist cookies). You don’t usually open that folder manually — you just interact with it via:
openclaw browser status
openclaw browser start
openclaw browser tabs
openclaw browser open https://example.com
How it differs from the Chrome Relay profile
openclawprofile: OpenClaw-managed, no extension needed, isolated, best for serverschromeprofile: extension relay that controls an existing Chrome tab you “attach” manually
You already switched your default to this:
openclaw config set browser.defaultProfile "openclaw"
How to “see” it
If you run the gateway on a machine with a desktop, you’ll see a Chrome window pop up when you do:
openclaw browser start --browser-profile openclaw
If the machine is headless, you won’t see a window, but it still works (use screenshot/snapshot to see what it’s doing).
If you want, run openclaw browser tabs and I’ll tell you which tab is the wp-admin one and which is the harmless about:blank.
what's the command line for me to enter the new credentials into the browser proifle
There isn’t a “set wp-admin username/password” command for the managed browser profile.
The browser profile stores cookies, not your credentials. To switch to a new WP admin user, you either log out + log in in wp-admin, or you wipe cookies and log in fresh.
Clean switch (recommended)
- Clear cookies/storage for the managed profile:
openclaw browser cookies clear --browser-profile openclaw
openclaw browser storage local clear --browser-profile openclaw
openclaw browser storage session clear --browser-profile openclaw
- Open wp-admin and log in with the new user (using refs from snapshot):
openclaw browser open --browser-profile openclaw https://YOURDOMAIN.com/wp-admin/
openclaw browser snapshot --browser-profile openclaw --interactive
# then:
# openclaw browser type e<userRef> "new-username"
# openclaw browser type e<passRef> 'new-password!!' --submit
Alternative (if you can find the logout link)
Just navigate to logout in wp-admin (often “Howdy, <user>” menu → Log Out), then log back in.
If you paste the snapshot --interactive output from your wp-admin page, I can tell you which e… ref is the username field, password field, and login button so you can do it in 3 commands.
I've barely used openclaw since I added the backup model and now hitting the limit again...what is going on???
If you’re getting “API rate limit reached” again after adding a fallback model, the key thing is:
A fallback to another OpenAI model usually does not help if the rate limit is on the API key / project / org (which it often is). OpenClaw will just try the fallback and hit the same 429.
Also: your Gateway can still be making calls even when you’re “barely using it” (heartbeat, retries, etc.).
1) First: confirm what’s actually triggering the calls
Run this on the Ubuntu box and paste the output (no secrets in there):
openclaw status
tail -n 2000 "$(ls -t /tmp/openclaw/openclaw-*.log | head -1)" \
| grep -Ei "heartbeat|embedded run start|messageChannel|rate limit|429|Too Many Requests" \
| tail -n 120
That will tell us if it’s:
- heartbeat runs,
- webchat/dashboard runs (
messageChannel=webchat), - or some loop/retry pattern.
2) Heartbeat is the usual “why am I rate-limited when idle”
Even if you’re not chatting, heartbeat can keep calling the model.
To stop background calls while you debug:
openclaw config set agents.defaults.heartbeat.every '"0m"' --json
openclaw gateway restart
(Alternative: make HEARTBEAT.md empty, but disabling is clearer.)
3) If you want real failover on 429s
You need at least one fallback on a different provider, not just another OpenAI model, or you need multiple auth profiles/keys to rotate within OpenAI.
High-signal checks:
openclaw models status
openclaw models fallbacks list
If you paste those 3 outputs (status, log snippet, models status), I can tell you exactly what’s causing the “barely used but rate-limited” behavior and what to change.
Two things jump out from your paste:
1) It’s not “idle” — the Gateway is still starting runs from WebChat
Your log lines show:
embedded run start … messageChannel=webchat … model=gpt-4.1-mini(at least at 19:15 and 21:17)
So even if you feel like you “barely used it”, leaving the Dashboard/WebChat open (or re-clicking things, or a stuck/retrying run) can still trigger real model calls and hit 429s.
Also: your openclaw status now shows Heartbeat: disabled, so this isn’t heartbeat anymore — it’s WebChat activity.
Quick test: close the dashboard/webchat tab(s) everywhere, wait 10 minutes, then check logs for any new embedded run start lines.
2) Your “backup model” probably isn’t actually configured as a fallback (or it won’t help)
From the earlier openclaw models status you pasted, you had:
Default: openai/gpt-4.1-mini
Fallbacks (0): -
So adding a second model to “Configured models” (or an alias) does not automatically make it fail over. Failover only happens when you set fallbacks explicitly.
Run to confirm current state:
openclaw models status
openclaw models fallbacks list
And if you want a fallback:
openclaw models fallbacks add <provider/model>
Important: OpenAI→OpenAI fallback often won’t avoid 429
Many 429s are account-wide on the same OpenAI API key, so falling back to another OpenAI model can still hit the same limit. The reliable fix is either:
- add a fallback on a different provider, or
- add a second OpenAI key/profile so OpenClaw can rotate profiles.
Bonus weirdness: your CLI and Gateway versions look mismatched
Your openclaw status shows CLI 2026.3.1, but Gateway self … app 2026.2.26. That can cause “I changed config but runtime still behaves old”.
Fix:
openclaw gateway install --force
openclaw gateway restart
openclaw gateway status
If you paste openclaw models status + openclaw models fallbacks list + the last ~50 lines of:
tail -n 2000 "$(ls -t /tmp/openclaw/openclaw-*.log | head -1)" | grep -Ei "embedded run start|messageChannel=webchat|rate limit|429" | tail -n 50
…I can tell you exactly whether you’re getting 429 because WebChat is spamming runs, because fallbacks aren’t actually set, or because the Gateway is still on the old version.
I completely understand your frustration, this isn’t a WordPress issue, it’s an automation design problem. Openclaw isn’t running true background jobs or persistent memory, so it responds to prompts but doesn’t actually execute long-running tasks. That’s why it keeps “waiting” and losing context. To make this work reliably, it needs proper task scheduling, persistent storage, and structured WordPress integration instead of prompt-based execution.
You’re not wrong about the shape of the problem (prompt-only “yeah sure” doesn’t magically equal a durable workflow), but a couple details are off:
-
OpenClaw does support background/scheduled work — it’s just not automatic. You need to use sub-agents (background runs) or cron/heartbeat (scheduled runs). If you just tell it “go do 5 hours of work”, it’ll often say yes but there’s no scheduler behind that single message.
Docs: https://docs.openclaw.ai/tools/subagents and https://docs.openclaw.ai/automation/cron-jobs -
Memory is persistent — it’s files on disk in the workspace (
MEMORY.md+memory/*.md). What bites people is (a)MEMORY.mdisn’t auto-created, and (b) sessions reset after idle, so chat context disappears unless it wrote to disk.
Docs: https://docs.openclaw.ai/concepts/memory -
The “waiting / forgetting” behavior we saw in this thread wasn’t “WordPress” at all — it was mostly OpenClaw setup + workflow (e.g. the workspace still had
BOOTSTRAP.md, which can keep an agent stuck in bootstrapping mode; plus missing fallbacks leading to hard stalls on API rate limits).
The practical pattern that does work for WordPress on managed hosting (IONOS) is:
- keep durable instructions/templates in
MEMORY.md - use the OpenClaw-managed browser to operate wp-admin (avoid relying on SSH/WP-CLI you don’t have)
- use sub-agents/cron for “work overnight”
- configure model fallbacks (ideally cross-provider) so 429s don’t hard-stop everything
So yeah: it needs structure — but the building blocks are already there; you just have to wire them in.
Hey Daniel - thank you! I'm not sure what you mean but structured wordpress integration. Beyond using REST API and the internal openclaw browser - there are mor efficient, solid methods? I've already got openclaw almost there...but I'm spending days on config issues - and this api limit stuff is beyond ridiculous, I mean people are out there building entire organizations with openclaw and I can't get mine to write a 100 word review without reaching my limit! lol
“Structured WordPress integration” basically means: don’t treat WP like “a website I click around in”, treat it like a system with an API + a schema + repeatable workflows.
For your IONOS situation, there are really only 3 solid lanes:
Lane A (most robust): WP REST API for content, OpenClaw browser for admin-only stuff
You’re already close to this.
- REST API: posts/pages/categories/tags/media (upload), custom fields/meta (with the right plugin), etc.
- Browser automation: plugin install/activate + plugin settings pages (because REST usually can’t do plugins)
That’s the “structured” approach: content pipeline via API, admin pipeline via browser.
Lane B (best long-term, more setup): one “bridge plugin”
A tiny custom plugin (or existing one) that exposes endpoints you actually need, e.g.:
- install/activate a plugin
- set specific options
- import/export plugin settings
- update theme mods
This turns lots of fragile browser clicks into stable HTTP calls.
Lane C (least reliable): pure browser automation for everything
This works, but it’s the most fragile and most likely to stall on ref changes/modals/timeouts.
About the “API limit stuff is ridiculous”
Two blunt truths from your pasted diagnostics:
1) You had no fallbacks configured for a while
So any 429 = hard stop. Adding “another model” isn’t the same as adding fallbacks.
2) Your logs showed runs triggered by WebChat (messageChannel=webchat)
So even when you “barely used it”, the dashboard/webchat being open (or retrying) can keep starting runs.
Also: falling back from one OpenAI model to another often doesn’t help because 429s are commonly key/project-wide.
The shortest path to “it just works”
Do these 3 things and you’ll feel the difference immediately:
1) Turn off heartbeats while you’re debugging
Even when you don’t chat, heartbeats can burn quota (yours is currently disabled, keep it that way until stable).
2) Stop WebChat from generating surprise runs
Close any dashboard/webchat tabs. Then watch logs for messageChannel=webchat. If those runs stop, you found your “ghost usage”.
3) Add a fallback on a different provider (not just another OpenAI model)
That’s the only way to survive OpenAI 429s cleanly.
If you want, paste your current:
openclaw models statusopenclaw models fallbacks list
And tell me whether you want to stay on OpenAI only or you’re ok adding another provider as a true backup. That determines whether we solve this with “second provider fallback” vs “multiple OpenAI keys/auth profiles + rotation”.
Are you telling me that Openai has imposed such limits on the usage of openclaw for everyone? Whatever the cause, the reason, the inability to get anything done because of such limitations is an incredibly stupid business move.
No — I’m not saying OpenAI has “broken OpenClaw for everyone”.
I’m saying two more boring (but fixable) things:
1) Rate limits are tied to your OpenAI API key/org/project + the model you’re using
OpenAI has per‑account/per‑project quotas (requests/minute, tokens/minute, sometimes daily spend caps). If your key is on a low tier, a fresh account, a strict budget limit, or you’re hitting a high‑token workflow (browser snapshots are chunky), you can hit 429s fast.
Other people “building organizations” typically have:
- higher account limits / paid tiers
- different providers (Anthropic/OpenRouter/etc.)
- fallbacks configured so they don’t hard-stop
- less “UI automation token spam”
So this isn’t “OpenClaw is useless”, it’s “you’re running a tool-heavy workload on a single provider with no real failover”.
2) Your setup was also generating extra runs
Your logs literally showed runs starting from messageChannel=webchat. So you can get billed/limited even when you feel like you “weren’t doing much”.
Practical fixes (so you can actually ship)
A) Add a real failover (different provider)
Falling back from OpenAI→OpenAI often won’t bypass 429, because it’s the same account limit. You need at least one fallback model on another provider.
B) Use a stronger model for tool runs (counterintuitive, but often cheaper in practice)
The cheap/small models can take more turns (more retries, more “missing ref” loops), which burns more requests and hits limits faster. A more capable model can finish in fewer steps.
C) Reduce token-heavy UI steps
Browser snapshot --interactive can be heavy. Don’t ask it to repeatedly snapshot huge pages unless needed; navigate directly to specific wp-admin URLs; keep steps short.
If you want a 5-minute “stop the bleeding” plan:
- close WebChat tabs to stop surprise runs
- configure at least one non-OpenAI fallback provider
- re-run the TablePress install as a single short task (not a huge multi-hour “build my site” instruction)
If you paste your current openclaw models status and what OpenAI account tier/budget you’re on (even roughly: “new key, low spend cap” vs “paid with usage”), I can tell you which of the above is the most likely cause for your specific 429 pattern.
Are you talking about webchat in the openclaw dashboard or chatting through telegram as well?
Both can trigger runs, but in your logs the smoking gun was specifically:
messageChannel=webchat
That means the run was triggered by the OpenClaw Dashboard’s WebChat UI (the chat box in the dashboard), not Telegram.
Quick map
- WebChat (Dashboard): shows up in logs as
messageChannel=webchat - Telegram: will show up as
messageChannel=telegram(or similar telegram-specific channel labels in other log lines)
Why WebChat can surprise you
If you leave the dashboard WebChat open, it’s easy to accidentally generate runs by:
- clicking “retry”
- sending an empty/partial message
- the UI reconnecting and re-sending something (rare, but you’ve got evidence of repeated webchat runs)
What to do
If you want to eliminate WebChat as a source of surprise usage while you debug rate limits:
- Close all dashboard tabs (or at least don’t use the WebChat panel).
- Use Telegram only for a while.
- Confirm by checking the log tail after 10–15 minutes — there should be no new
messageChannel=webchatlines.
If you paste your latest “rate limit reached” log lines (the few lines around them), I can tell you which channel triggered those specific runs.
Understood - but I have to click retry quite often because the config is fairly messy in trying to get it to do what I want done. It just doesn't seem to me that this can be considered as heavy usage by any measurement except Openai's. Are you saying if I changed to GPT 5.2 I wouldn't have these limitations? I only switched to 4.1-mini because 5.1 was hitting limits. Let's leave out other llms for the moment - are saying there's no to configure openclaw with openai in such a way that I can just work all day no matter how much I budget (which I'm not even close ot hitting my budget limit yet)?
No — switching to “GPT‑5.2” doesn’t magically remove limits, and OpenClaw can’t be configured to “work all day no matter what” if OpenAI is the bottleneck.
What’s happening is almost always this mismatch:
Budget ($) ≠ Rate limits (429)
You can be nowhere near your spend budget and still hit 429s because OpenAI enforces throughput caps like:
- requests per minute (RPM)
- tokens per minute (TPM)
- sometimes concurrency limits
OpenClaw + browser automation + “retry” is very good at burning TPM because every retry tends to resend a big context + big tool outputs again.
Why “click retry a lot” is heavier than it feels
In WebChat, “Retry” is not “continue where we left off” — it usually means “run another full model turn again”. If your session has accumulated:
- long chat history
- browser snapshots
- tool logs
…each retry can be a big TPM hit even if the user-visible task is “install TablePress”.
Will GPT‑5.2 help?
Maybe, but not reliably:
- Some accounts have different limits per model.
- Some limits are effectively account/org wide.
So: changing models can change rate-limit behavior, but it’s not a guaranteed fix.
OpenAI-only knobs you actually have
If you want to stay OpenAI-only for now, your best options are:
-
Reduce TPM per turn
- Start fresh sessions more often (
/new) when you’re in a messy debug loop. - Avoid repeatedly snapshotting huge pages; keep browser steps tight.
- (If you’re doing lots of browser work) set browser snapshots to a more compact mode to reduce tool output size.
- Start fresh sessions more often (
-
Increase OpenAI limits
- This is the real fix for “work all day”. You need higher RPM/TPM from OpenAI (dashboard “Limits” / request increase / higher tier).
- Multiple OpenAI auth profiles (two keys)
- OpenClaw can rotate profiles on rate limits within a provider if you have more than one profile configured.
- This may or may not help depending on whether your limit is per project/key vs org-wide.
Quick way to confirm what type of limit you’re hitting
Run (it makes tiny probe requests; still real API calls):
openclaw models status --probe --probe-provider openai --probe-max-tokens 32
And check your OpenAI dashboard limits page for RPM/TPM. If TPM is low, browser+retry will hit it constantly.
If you paste the output of openclaw models status --probe --probe-provider openai --probe-max-tokens 32 (redacted is fine) I can tell you whether OpenClaw is able to fall over to another OpenAI profile/model, or whether you’re hard-capped at the OpenAI account level.
I'm not opposed, per se, to use other llms, it's just hard to comprehend why, if I'm willing to spend the money, I can't get a single 100 word post written and published on my website without having limit issues. Am I going to experience these same issues with other llms?
You can spend money and still get blocked — because most providers throttle by throughput, not just dollars.
Why a “100 word post” can still hit limits
The visible output is tiny, but the work can be huge:
- Your session history might be large (tool logs, browser snapshots, past messages).
- Browser automation adds lots of text (snapshots/DOM/accessibility trees).
- “Retry” often means “re-run the whole big prompt again”.
- So the request can be tens/hundreds of thousands of tokens in + out, even if you only want 100 words back.
That’s why it feels absurd: you’re paying for throughput, not “words”.
Will other LLM providers do the same thing?
They can, but it depends:
- Most providers have 429/rate limits (RPM/TPM/concurrency).
- Some are more generous for small accounts.
- Some handle tool-heavy workflows better (fewer retries = fewer calls).
- If you add cross-provider fallbacks, OpenClaw can keep going when one provider throttles.
So you’re not “escaping rate limits forever” by switching providers — you’re creating resilience:
- provider A rate limits → fallback to provider B → keep moving
What I’d do in your case (practical, not philosophical)
- Shrink the context when you want a small post:
- start a fresh session (
/new) before “write & publish” - keep the publishing steps short and direct
- start a fresh session (
- Stop using WebChat “Retry” as a workflow
- retries are expensive; better to fix the instruction and run once
- Add at least one non-OpenAI fallback (even if OpenAI stays primary)
- If you want OpenAI to be your only provider: request/raise OpenAI TPM/RPM limits (this is the real fix)
Quick diagnostic question
When you hit the limit, is it happening during:
- writing (plain text), or
- browser actions (snapshots/click/type)?
If it’s during browser actions, the token footprint is usually the main culprit, and trimming snapshots + session size helps a lot.
For now let's get the config issue figured out. Openclaw connects to my website in two ways: through it's internal browser and through the WP REST API. Leet's take them one at a time and get them both working. Let's start with the internal browser. I'm at a terminal window can you give me a cli to test it's connectivity?
Yep. Here’s a clean “internal browser connectivity” smoke test you can run from the terminal. It proves 4 things: browser process runs, tab can navigate, you can see what it saw, and automation refs work.
0) Make sure the managed browser is running
openclaw browser status --browser-profile openclaw
openclaw browser start --browser-profile openclaw
openclaw browser status --browser-profile openclaw
1) Open a simple public page + verify navigation
openclaw browser open --browser-profile openclaw https://example.com
openclaw browser tabs --browser-profile openclaw
2) Prove you can “see” the page (screenshot)
If screenshot sometimes times out for you, bump the CLI timeout:
openclaw browser --timeout 60000 screenshot --browser-profile openclaw
It will print a MEDIA:...png path.
3) Prove Playwright/ref-based automation works (interactive snapshot)
openclaw browser snapshot --browser-profile openclaw --interactive
You should see at least one element like:
link "Learn more" [ref=e1]
4) Quick click test (optional)
openclaw browser click --browser-profile openclaw e1
openclaw browser tabs --browser-profile openclaw
If any step fails
Run:
openclaw browser errors --browser-profile openclaw
openclaw browser console --browser-profile openclaw --level error
Paste the output of the first failing command + browser status and we’ll pinpoint whether it’s Chrome launch, navigation, screenshot timeout, or Playwright refs.
No errors. Now, what does that mean for accessing and manipulating it's way around my WP Admin Dashboard?
It means the plumbing is working:
- OpenClaw can start/attach to the managed browser
- it can navigate to real URLs
- it can take snapshots and get
ref=e…element IDs - it can click/type using those refs
So yes — it can access and manipulate your wp-admin the same way you were doing manually with click/type.
What it doesn’t automatically guarantee
- That WordPress won’t log you out (cookies expire)
- That the agent will always pick the right element (it must re‑
snapshotafter each navigation) - That installs won’t trigger an FTP prompt (host-specific)
- That you won’t hit model 429s mid-run (separate issue)
The “wp-admin control” pattern that works
- Navigate directly to a known wp-admin URL:
openclaw browser open --browser-profile openclaw https://YOURDOMAIN.com/wp-admin/
- Snapshot and get refs:
openclaw browser snapshot --browser-profile openclaw --interactive
- Click/type using refs:
openclaw browser click --browser-profile openclaw e45
openclaw browser type --browser-profile openclaw e12 "TablePress" --submit
- After every click that changes the page, snapshot again (refs change).
Quick “real” test for wp-admin right now
This just checks you’re still logged in and can navigate:
openclaw browser open --browser-profile openclaw https://YOURDOMAIN.com/wp-admin/plugins.php
openclaw browser snapshot --browser-profile openclaw --interactive
- If the snapshot shows the Plugins UI (and not the login form), you’re good.
- If you land on
wp-login.php, you need to log in again (cookies expired).
If you paste the interactive snapshot from plugins.php, I can tell you which refs correspond to “Add New”, search box, Install/Activate buttons, etc.
Okay, so the accessing of the WP Admin dashboard works. Now, How do I test the REST API as thoroughly?
Do it in two layers: (1) raw HTTP sanity and (2) “can OpenClaw actually use it for the exact things you need?”.
Below are copy/paste commands. None of them require WP-admin login; they test REST directly.
0) Set your base URL once (no secrets)
export WP_BASE="https://technologysolutions.com"
export WP_API="$WP_BASE/wp-json/wp/v2"
1) Public read tests (should work without auth)
Site discovery:
curl -sS "$WP_BASE/wp-json/" | head -c 400 && echo
List categories + verify your earlier ones exist:
curl -sS "$WP_API/categories?per_page=100" | head -c 400 && echo
Search posts:
curl -sS "$WP_API/posts?search=test&per_page=5" | head -c 400 && echo
If any of those return HTML (not JSON) or 403, REST is blocked/rewritten by hosting/security.
2) Auth test (Application Password) — safest “does write work?”
Use an env var so you don’t leak it into shell history:
read -p "WP user: " WP_USER
read -s -p "WP app password: " WP_APP_PASS; echo
Now test “who am I”:
curl -sS -u "$WP_USER:$WP_APP_PASS" "$WP_BASE/wp-json/wp/v2/users/me" | head -c 600 && echo
You should get JSON with your user id/name. If you get 401, the creds/app-password are wrong or blocked.
3) Write tests (create → update → delete a draft)
Create a draft post
POST_ID=$(
curl -sS -u "$WP_USER:$WP_APP_PASS" \
-H "Content-Type: application/json" \
-d '{"title":"OpenClaw REST test","content":"REST write test.","status":"draft"}' \
"$WP_API/posts" | python3 -c 'import sys,json; print(json.load(sys.stdin)["id"])'
)
echo "Created draft post id=$POST_ID"
Update it
curl -sS -u "$WP_USER:$WP_APP_PASS" \
-H "Content-Type: application/json" \
-X POST -d '{"content":"Updated content from REST.","status":"draft"}' \
"$WP_API/posts/$POST_ID" | head -c 400 && echo
Delete it (force=true deletes immediately)
curl -sS -u "$WP_USER:$WP_APP_PASS" \
-X DELETE "$WP_API/posts/$POST_ID?force=true" | head -c 300 && echo
Finally:
unset WP_APP_PASS
If those work, REST “write” is healthy.
4) The WP-specific coverage checks (what REST can/can’t do)
REST can reliably do:
- posts/pages/categories/tags/media uploads
- draft/publish status changes
- search/list/read
REST usually cannot do (without extra plugins/custom endpoints):
- install/activate/configure plugins
- many theme/customizer settings
- some SEO plugin settings (unless the plugin exposes its own endpoints)
So “thorough” for your use case = confirm:
- you can create/update/publish posts
- you can set categories/tags
- you can upload media (optional)
- you can set whatever custom fields you need (if using ACF/etc)
If you tell me what you want the REST side to handle (draft posts only vs full publish incl. featured image + categories + affiliate links), I’ll give you the exact endpoint tests for that.
trident50@RobsUbuntu:~$ curl -sS "$WP_BASE/wp-json/" | head -c 400 && echo
{"name":"Technology Solutions","description":"","url":"https://technologysolutions.com","home":"https://technologysolutions.com","gmt_offset":"0","timezone_string":"","page_for_posts":0,"page_on_front":0,"show_on_front":"posts","namespaces":["oembed/1.0","akismet/v1","kadence-starter-library/v1","rankmath/v1","rankmath/v1/setupWizard","rankmath/v1/an","mc4wp/v1","rankmath/v1/ca","racurl: (23) Failure writing output to destination
trident50@RobsUbuntu:~$ curl -sS "$WP_API/categories?per_page=100" | head -c 400 && echo
[{"id":2,"count":1,"description":"","link":"https://technologysolutions.com/category/ai/","name":"AI","slug":"ai","taxonomy":"category","parent":0,"meta":[],"_links":{"self":[{"href":"https://technologysolutions.com/wp-json/wp/v2/categories/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https://technologysolutions.com/wp-json/wp/v2/categories"}],"about":[{"href":"httcurl: (23) Failed writing body
Good: the REST API is responding and you’re getting real JSON back.
The bad news in your output is not WordPress — it’s your shell pipeline:
curl: (23) Failure writing output to destination
That happens because head -c 400 closes the pipe after 400 bytes, and curl complains when the downstream closes early. It’s harmless, but noisy.
Fix the “curl (23)” noise
Use one of these instead:
Option A: sed (no broken pipe)
curl -sS "$WP_BASE/wp-json/" | sed -n '1,8p'
curl -sS "$WP_API/categories?per_page=100" | sed -n '1,8p'
Option B: head but silence curl errors
curl -sS "$WP_BASE/wp-json/" 2>/dev/null | head -c 400 && echo
What your /wp-json/ output tells us (useful!)
I can see these namespaces are available on your site:
rankmath/v1/...mc4wp/v1(Mailchimp for WP)akismet/v1- etc.
That’s great because it means some plugin settings/actions might be doable via plugin REST endpoints, not just wp-admin clicking.
“Thorough” REST testing checklist (for your use case)
Now test these in order:
1) Posts list (read)
curl -sS "$WP_API/posts?per_page=3" | sed -n '1,5p'
2) Auth works (application password)
(Use your dedicated WP user + app password)
read -p "WP user: " WP_USER
read -s -p "WP app password: " WP_APP_PASS; echo
curl -sS -u "$WP_USER:$WP_APP_PASS" "$WP_BASE/wp-json/wp/v2/users/me" | sed -n '1,20p'
3) Create a draft post (write)
curl -sS -u "$WP_USER:$WP_APP_PASS" \
-H "Content-Type: application/json" \
-d '{"title":"REST Test Post","content":"Hello from REST.","status":"draft"}' \
"$WP_API/posts" | sed -n '1,30p'
If those 3 work, your REST pipeline is solid for “write & publish content”.
If you paste the users/me response (redact name/email if you want) and whether the draft post creation returns an id, I’ll give you the next tests for:
- assigning categories/tags
- uploading a featured image
- publishing the draft
And separately, we can check what RankMath endpoints let you configure over REST (since your namespace list shows RankMath routes exist).
I ran the "posts list" command from above - What is this text output I'm getting -where is coming from?
That output is coming straight from the WordPress REST API response body.
curl is fetching JSON from:
https://technologysolutions.com/wp-json/wp/v2/posts?per_page=3
…and then we pipe it through:
sed -n '1,5p'
So you’re seeing the first few lines of the JSON that WordPress returns for your latest posts. It will look “texty” because it includes post fields like:
title.renderedcontent.rendered(HTML)excerpt.rendered(HTML)
Two common surprises:
1) It’s HTML inside JSON
WordPress stores post content as HTML. So you’ll see <p>...</p> etc.
2) You’re printing a partial JSON blob
Because we’re only showing the first 5 lines, it can look weird/incomplete.
If you want something readable, extract specific fields:
curl -sS "$WP_API/posts?per_page=3" | python3 - <<'PY'
import json,sys
posts=json.load(sys.stdin)
for p in posts:
print(p["id"], "-", p["title"]["rendered"])
PY
Or if you just want to confirm it’s valid JSON without reading it:
curl -sS "$WP_API/posts?per_page=3" | python3 -m json.tool | head -n 40
If you paste 10–20 lines of what you saw, I can tell you exactly which fields you’re looking at.
Oh...right, I forgot about that post, I thought there no posts on that site.
Yep — that’ll do it. wp/v2/posts is literally “show me the posts that exist”, so if you (or OpenClaw earlier) created even one sample post, it’ll show up there.
If you want to double-check what’s live vs draft:
Published only
curl -sS "$WP_API/posts?status=publish&per_page=20" | python3 -m json.tool | head -n 40
Drafts (requires auth)
curl -sS -u "$WP_USER:$WP_APP_PASS" "$WP_API/posts?status=draft&per_page=20" | python3 -m json.tool | head -n 40
And if you just want a clean list of titles/ids:
curl -sS "$WP_API/posts?per_page=20" | python3 - <<'PY'
import json,sys
for p in json.load(sys.stdin):
print(f'{p["id"]}: {p["status"]} - {p["title"]["rendered"]}')
PY
Next “thorough REST” step is the auth check (/users/me) and then create/update/delete a draft — that proves you can publish programmatically.
Okay, so everything is working now - for now 🙂
Nice. You’re in the “it works when you poke it” phase — the next step is making it stay working without babysitting.
If you want the 3 highest-leverage things to do now:
-
Write a short runbook into
MEMORY.md(ormemory/TS_project.md) so tomorrow-you doesn’t re-debug:- gateway token/service sync fix
- BOOTSTRAP.md must stay gone
- browser default profile =
openclaw - wp-admin login persists via cookies
- REST base URL + how to test auth (
/users/me) - “after every click/navigation: snapshot again”
-
Kill surprise usage
- keep heartbeat disabled until you’re stable
- don’t leave dashboard WebChat open if it causes retries/runs
-
Add real model resilience
- at minimum: model fallbacks configured
- best: a fallback on a different provider (so OpenAI 429 doesn’t hard-stop you)
When it breaks again (it will), the fastest “what’s wrong right now” triage is still:
openclaw status
openclaw browser tabs
openclaw browser snapshot --interactive
tail -n 2000 "$(ls -t /tmp/openclaw/openclaw-*.log | head -1)" | grep -Ei "rate limit|429|messageChannel" | tail -n 80
Just saw all this on my openclaw chat and is this what y ou mean by stuff going on in the background that makes it hit my limit? https://pastes.io/security-n
Yep — that’s exactly the kind of thing I meant.
What you’re looking at is not “WordPress doing stuff in the background”. It’s your OpenClaw agent actively running browser-tool steps (and often retrying), and each of those steps can burn tokens / hit rate limits.
What those messages mean (the important bits)
-
Unknown ref "e323". Run a new snapshot...
The agent tried to click/type using an oldref=e…. Refs are only valid for the snapshot they came from. After any navigation/page change, it mustsnapshotagain. -
Error: tab not found(with a targetId like7C36…)
The agent tried to operate on a tab that no longer exists (tab was closed, browser restarted, or it lost the CDP connection). It then correctly reopened the page and got a new targetId. -
The big blocks with “SECURITY NOTICE… EXTERNAL, UNTRUSTED…”
That’s just OpenClaw’s wrapper around browser snapshots/tool output (it treats web content as untrusted input). It’s normal; it’s not a warning that your site is hacked.
Why this can hit your API limits
That sequence is basically:
- model thinks → 2) browser snapshot/tool call → 3) model thinks again → 4) click/type → 5) snapshot again → …
If it gets into a “stale ref / tab lost / retry” loop, you get lots of model turns even though the task seems simple.
Also: if you’re doing this from the Dashboard WebChat, clicking Retry can kick off another full run.
How to stop the looping behavior
Tell your OpenClaw agent (in the prompt) this rule set:
- “Before every click/type, run
browser snapshot --interactiveand use only refs from that snapshot.” - “After any navigation/click that changes the page, immediately snapshot again (refs are not stable).”
- “If you get
tab not found, callbrowser tabs, pick a valid tab, or reopen the URL.”
Quick sanity commands (when it “goes weird”)
On the gateway host:
openclaw browser status
openclaw browser tabs
openclaw browser snapshot --interactive
If those look sane but the agent keeps retrying, the issue is likely the agent loop, not connectivity.
If you want, paste just the first “Unknown ref …” + “tab not found” chunk with the surrounding couple lines and I can tell you what exact step it likely got stuck on (e.g. plugin search box vs install button vs modal).
I just edited my models for primary and fallback and got this error:Invalid config at /home/trident50/.openclaw/openclaw.json:\n- agents.defaults.model: Invalid input Invalid config at /home/trident50/.openclaw/openclaw.json:\n- agents.defaults.model: Invalid input
That error means your openclaw.json is syntactically readable, but the value at agents.defaults.model is the wrong shape for OpenClaw’s config schema.
agents.defaults.model must be either:
✅ Option A: a string
agents: {
defaults: {
model: "openai/gpt-4.1-mini",
},
}
✅ Option B: an object with primary + fallbacks (fallbacks must be an array)
agents: {
defaults: {
model: {
primary: "openai/gpt-4.1-mini",
fallbacks: ["openai/gpt-5-mini"],
},
},
}
Common ways this gets broken:
fallbacksis set to a string instead of an array (fallbacks: "..."❌)- you used
fallbackinstead offallbacks❌ - you made
modelan array (model: ["..."]❌) - you nested it wrong (e.g.
agents.defaultvsagents.defaults) ❌
Fast recovery (recommended)
- Restore your last known-good backup if you have one:
ls -la ~/.openclaw/openclaw.json*
If you see openclaw.json.bak, you can revert:
cp ~/.openclaw/openclaw.json.bak ~/.openclaw/openclaw.json
- Then make model changes using the CLI (avoids schema mistakes):
openclaw models set openai/gpt-4.1-mini
openclaw models fallbacks remove openai/gpt-5.1-codex
openclaw models fallbacks add openai/gpt-5-mini
openclaw models status
- Restart gateway if needed:
openclaw gateway restart
If you don’t want to restore the whole file, paste just the agents: { defaults: { model: ... } } snippet here (redact any secrets) and I’ll tell you the exact edit to make it valid.
how do we test it's all kopacetic?
Run a quick “end‑to‑end” checklist: config valid → gateway healthy → model selection/fallbacks sane → browser works → REST write works.
1) Config + gateway health
openclaw status --all
openclaw gateway status
If config is invalid, these will complain immediately.
2) Models + fallbacks (make sure you’re not one-429-from-dead)
openclaw models status
openclaw models fallbacks list
3) Browser sanity (managed openclaw profile)
openclaw browser status --browser-profile openclaw
openclaw browser open --browser-profile openclaw https://example.com
openclaw browser snapshot --browser-profile openclaw --interactive
4) REST sanity (read + auth)
export WP_BASE="https://technologysolutions.com"
export WP_API="$WP_BASE/wp-json/wp/v2"
curl -sS "$WP_API/categories?per_page=5" | python3 -m json.tool | head -n 20
read -p "WP user: " WP_USER
read -s -p "WP app password: " WP_APP_PASS; echo
curl -sS -u "$WP_USER:$WP_APP_PASS" "$WP_BASE/wp-json/wp/v2/users/me" | python3 -m json.tool | head -n 40
unset WP_APP_PASS
5) Optional “real” write test (creates then deletes a draft)
Only do this if you’re ok with a temporary draft post being created:
read -s -p "WP app password: " WP_APP_PASS; echo
POST_JSON=$(curl -sS -u "$WP_USER:$WP_APP_PASS" -H "Content-Type: application/json" \
-d '{"title":"REST smoke test","content":"ok","status":"draft"}' \
"$WP_API/posts")
POST_ID=$(python3 -c 'import sys,json; print(json.loads(sys.argv[1])["id"])' "$POST_JSON")
echo "Created draft id=$POST_ID"
curl -sS -u "$WP_USER:$WP_APP_PASS" -X DELETE "$WP_API/posts/$POST_ID?force=true" | head -c 200 && echo
unset WP_APP_PASS
If you paste the outputs of steps 1–3 + the users/me response status, I’ll tell you exactly what’s still shaky (if anything).
We did most of these last night - I just want to test the model usage and fallback work
Cool — then just test (a) what model is active, (b) that fallbacks are configured, and (c) that a fallback actually triggers when the primary is “blocked”.
1) Confirm current primary + fallbacks
openclaw models status
openclaw models fallbacks list
2) Quick “does the model respond?” sanity (tiny prompt)
Send your bot a short message like “ping” (or from CLI if you prefer):
openclaw system event --text "ping" --mode now
3) Force a fallback (safe way)
The safest way is to temporarily set a bogus/blocked primary and see if it rolls to fallback. Do this only for a minute:
- Set primary to something you know will fail for you (example: temporarily point primary at a provider you have no auth for), then run a ping, then set it back.
But since I don’t know which providers you have configured, here’s the clean method:
- Paste the output of:
openclaw models status
…and I’ll tell you the exact “temporary primary” to pick that will fail instantly (without spending tokens) so you can watch fallback engage.
4) Watch fallback in logs
In another terminal:
openclaw logs --follow
Then trigger a run. You should see it attempt primary, then move to fallback if configured.
If your models status still shows Fallbacks (0): -, then fallback is not actually configured yet (a common confusion: “configured models” ≠ “fallbacks”).
trident50@RobsUbuntu:~$ openclaw models status
🦞 OpenClaw 2026.3.1 (2a8ac97) — Meta wishes they shipped this fast.
Config : ~/.openclaw/openclaw.json
Agent dir : ~/.openclaw/agents/main/agent
Default : google/gemini-1.5-flash
Fallbacks (1) : openai/gpt-5.1-mini
Image model : -
Image fallbacks (0): -
Aliases (1) : GPT -> openai/gpt-5.1-codex
Configured models (2): openai/gpt-5.1-codex, openai/gpt-4.1-mini
Auth overview
Auth store : ~/.openclaw/agents/main/agent/auth-profiles.json
Shell env : off
Providers w/ OAuth/tokens (0): -
- google effective=env:AIzaSyDL...RFFDdQxY | env=AIzaSyDL...RFFDdQxY | source=env: GEMINI_API_KEY
- openai effective=profiles:~/.openclaw/agents/main/agent/auth-profiles.json | profiles=1 (oauth=0, token=0, api_key=1) | openai:default=sk-proj-...CuORh0gA | env=sk-proj-...CuORh0gA | source=env: OPENAI_API_KEY
OAuth/token status
- none
You’re very close — that models status output already tells us your failover chain is wired:
- Primary/default:
google/gemini-1.5-flash - Fallbacks:
openai/gpt-5.1-mini
Now the goal is to prove three things:
- runs are actually using the primary when it’s healthy
- the fallback model itself is usable
- when the primary fails (429/auth/etc.), OpenClaw really falls back automatically
A) Watch what model is used (no guessing)
Open one terminal and tail logs:
tail -f "$(ls -t /tmp/openclaw/openclaw-*.log | head -1)" | grep -Ei "embedded run start|provider=|model=|rate limit|429|cooldown|fallback"
Then trigger a tiny run (either send “ping” from Telegram, or run this locally):
openclaw system event --text "model test: reply ok" --mode now
In the log line for embedded run start, you should see provider=google model=gemini-1.5-flash (or similar).
B) Verify the fallback model actually works (direct test)
Temporarily switch the default model to the fallback model and run another ping:
openclaw models set openai/gpt-5.1-mini
openclaw system event --text "openai direct test" --mode now
Then set it back:
openclaw models set google/gemini-1.5-flash
This proves the fallback isn’t “configured but unusable”.
C) Prove automatic fallback (only if you want a hard test)
Fallback only triggers when the primary fails. The cleanest “hard test” is to temporarily remove/break the Google key for the gateway service, restart, send a ping, and confirm it uses OpenAI — then restore the key.
If you don’t want to touch keys, the practical test is just: when you next hit a Google 429, the logs should show a run start on Google, then a subsequent attempt on OpenAI.
One oddity in your output (not fatal, but confusing)
Configured models (2): openai/gpt-5.1-codex, openai/gpt-4.1-mini
That list is just your model catalog/allowlist (agents.defaults.models). It doesn’t currently include google/gemini-1.5-flash or openai/gpt-5.1-mini, which is why /model list can look weird. If you use the CLI commands (openclaw models set … and openclaw models fallbacks add …) it will auto-add entries to the catalog and keep everything consistent.
If you paste the relevant embedded run start lines from the log after steps A+B, I’ll confirm whether you’re actually switching models cleanly and whether anything is still “stuck on the old model.”
Getting this in the openclaw dashboard: LLM error: { "error": { "code": 404, "message": "models/gemini-1.5-flash is not found for API version v1beta, or is not supported for generateContent. Call ListModels to see the list of available models and their supported methods...
That error is coming from the Google (“google” provider / Gemini API) side, and it means your current primary model string is not a valid/supported model for the API endpoint OpenClaw is calling (generateContent on v1beta).
So right now your “primary” is effectively broken, which will spam errors and make the dashboard look like it’s constantly failing.
1) Get unblocked immediately (use your fallback as primary)
Set the default model to your OpenAI fallback so you can keep working:
openclaw models set openai/gpt-5.1-mini
openclaw models status
(You can switch back to Google once you pick a valid Google model name.)
2) Pick a valid Google model name (don’t guess)
List the Google models OpenClaw knows about and choose one from that list:
openclaw models list --all --provider google
Then set it:
openclaw models set google/<one-of-the-listed-model-ids>
openclaw models status
If you paste the output of openclaw models list --all --provider google (it’s not secret), I can tell you which entry is the right “text generateContent” one to use.
3) (If it still 404s) confirm your gateway is actually on the same version as your CLI
You previously had a CLI/gateway mismatch. Verify:
openclaw gateway status
If it shows an older gateway binary, sync it:
openclaw gateway install --force
openclaw gateway restart
Once the primary is a real Google model again, your fallback chain (Fallbacks (1) : openai/gpt-5.1-mini) becomes meaningful instead of “primary always errors.”
Yep — that paste shows the exact problem: you accidentally set a double‑prefixed model name and (separately) your OpenAI fallback model name doesn’t exist in your OpenClaw model catalog.
1) Fix the Google model string (you set google/google/...)
OpenClaw parses model refs by splitting on the first /.
So when you ran:
openclaw models set google/google/gemini-1.5-flash
…it interpreted that as:
- provider =
google - model =
google/gemini-1.5-flash
…which becomes the invalid key google/google/gemini-1.5-flash.
Fix:
openclaw models set google/gemini-1.5-flash
2) Fix the OpenAI fallback model string (openai/gpt-5.1-mini is “model_not_found”)
Your error shows:
openai/gpt-5.1-mini (model_not_found)
So replace it with a model that actually exists in your openclaw models list.
First, list OpenAI models and find the exact “gpt-5 mini” entry:
openclaw models list --all --provider openai --plain | grep -i "gpt-5" | head -50
Then clear and set fallbacks cleanly:
openclaw models fallbacks clear
openclaw models fallbacks add openai/gpt-5-mini # only if it appears in the list above
(If your list shows a different exact ID, use that exact string.)
3) Verify it’s sane
openclaw models status
You want to see:
- Default:
google/gemini-1.5-flash - Fallbacks: contains a real OpenAI model key (not “5.1-mini” if it isn’t listed)
If you paste the output of:
openclaw models list --all --provider openai --plain | grep -i "gpt-5" | head -30
…I’ll tell you exactly which line to use as your fallback so you don’t have to guess.
penai/gpt-5
openai/gpt-5-chat-latest
openai/gpt-5-codex
openai/gpt-5-mini
openai/gpt-5-nano
openai/gpt-5-pro
openai/gpt-5.1
openai/gpt-5.1-chat-latest
openai/gpt-5.1-codex
openai/gpt-5.1-codex-max
openai/gpt-5.1-codex-mini
openai/gpt-5.2
openai/gpt-5.2-chat-latest
openai/gpt-5.2-codex
openai/gpt-5.2-pro
openai/gpt-5.3-codex
openai/gpt-5.3-codex-spark
trident50@RobsUbuntu:~$
Perfect — use openai/gpt-5-mini. That one is in your catalog, so it won’t “model_not_found”.
Now fix both sides cleanly:
1) Fix primary Google model (remove the double google/)
openclaw models set google/gemini-1.5-flash
2) Set fallback to OpenAI GPT‑5 mini
First clear whatever broken fallback you had, then add the correct one:
openclaw models fallbacks clear
openclaw models fallbacks add openai/gpt-5-mini
3) Verify
openclaw models status
You want to see:
Default : google/gemini-1.5-flashFallbacks (1) : openai/gpt-5-mini
4) Restart gateway (safe)
openclaw gateway restart
Then send a simple “ping” in your chat to confirm it replies without the “All models failed … model_not_found” error.
given the same prompt through the openclaw dashboard chat will I get different responses based on the model I'm using?
Yes.
If you send the exact same text through the dashboard chat, you can get different results depending on:
1) Which model is selected for that session
Different models will:
- write differently (tone/structure)
- follow instructions differently
- be more/less reliable with tools (browser/REST)
- make different choices about what to do first
You can check/switch the current session model with /model (in the chat UI if commands are enabled), or by setting the default model in config.
2) Different context = different output
Even with the same model, if:
- the session history changed
- you retried (so the model sees different previous errors/tool outputs)
- you ran browser snapshots (which add lots of context)
…you’ll get different answers.
3) Provider/model failover can silently change which model actually answered
With fallbacks configured, if the primary errors/429s, OpenClaw may answer using the fallback model. Same prompt, different model → different response.
How to tell what model actually replied
- Run
openclaw status/ check session model info, or - watch logs for
embedded run start … provider=… model=…around the time you sent the message.
If you want, we can do a controlled test: send the same short prompt twice, once after setting openclaw models set google/gemini-1.5-flash, and once after setting openclaw models set openai/gpt-5-mini, and compare.
Now what?LLM error: { "error": { "code": 404, "message": "models/gemini-1.5-flash is not found for API version v1beta, or is not supported for generateContent. Call ListModels to see the list of available models and their supported methods...
That 404 means your Google primary model is currently invalid for the Gemini API your Gateway is calling (v1beta generateContent). Until you fix it, the agent will just keep erroring.
0) Get unstuck immediately (switch primary to a known-good model)
So you can keep working while debugging Google:
openclaw models set openai/gpt-5-mini
openclaw models status
1) Verify what Google models your API key actually has (source of truth)
OpenClaw’s models list is a catalog; the Google API response is what matters.
Run this (doesn’t print your key, it uses $GEMINI_API_KEY from env):
curl -sS "https://generativelanguage.googleapis.com/v1beta/models?key=$GEMINI_API_KEY" \
| python3 - <<'PY'
import json,sys
data=json.load(sys.stdin)
names=[m.get("name","") for m in data.get("models",[])]
for n in names:
if "gemini" in n:
print(n)
PY
Look for entries like models/gemini-....
- If
models/gemini-1.5-flashis not in that list, then Google has not enabled it for your key (or it’s been removed), and OpenClaw is right to 404. - Pick one that is listed (often something like
models/gemini-flash-latestormodels/gemini-2.0-flashdepending on what your key has).
2) Set OpenClaw to the model name (without the models/ prefix)
Example (adjust to whatever you actually saw in the list):
openclaw models set google/gemini-flash-latest
# or: openclaw models set google/gemini-2.0-flash
openclaw models status
3) If you still get 404 after choosing a listed model
Then suspect a CLI vs gateway mismatch / stale service:
openclaw gateway status
openclaw gateway install --force
openclaw gateway restart
If you paste the output of the v1beta/models list (just the model names), I’ll tell you exactly which Google model string to use in openclaw models set.
raceback (most recent call last):
File "<stdin>", line 2, in <module>
File "/usr/lib/python3.10/json/init.py", line 293, in load
return loads(fp.read(),
File "/usr/lib/python3.10/json/init.py", line 346, in loads
return _default_decoder.decode(s)
File "/usr/lib/python3.10/json/decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "/usr/lib/python3.10/json/decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
curl: (23) Failed writing body
That traceback means: the thing your Python script received from curl was not JSON (often it’s empty, or it’s an HTML/text error response). Then Python exits immediately, the pipe closes, and curl prints:
curl: (23) Failed writing body
So the curl (23) is just a symptom of “the downstream consumer died”, not the root cause.
Let’s debug this without pipes so you can see the actual HTTP response.
1) Confirm your key is actually set (don’t paste it)
echo "GEMINI_API_KEY length = ${#GEMINI_API_KEY}"
If that prints 0, the key isn’t set in your shell (even if the gateway has it).
2) Fetch the models list to a file + show HTTP status
curl -sS \
-o /tmp/gemini-models.json \
-w "HTTP %{http_code}\n" \
"https://generativelanguage.googleapis.com/v1beta/models?key=${GEMINI_API_KEY}"
head -c 400 /tmp/gemini-models.json && echo
What you want:
HTTP 200- and the file starts with
{and contains"models": [...]
If you get:
HTTP 401/403→ key invalid / not allowedHTTP 0→ network/DNS issue- HTML/text in the file → wrong response, still useful to read the first 400 chars
3) Now parse it and print only models that support generateContent
python3 - <<'PY'
import json
data=json.load(open("/tmp/gemini-models.json"))
for m in data.get("models", []):
name = m.get("name","")
methods = m.get("supportedGenerationMethods", [])
if "generateContent" in methods and "gemini" in name:
# name looks like "models/gemini-..."
print(name, methods)
PY
Then set OpenClaw to one of those (drop the models/ prefix)
If the list prints e.g. models/gemini-2.0-flash, set:
openclaw models set google/gemini-2.0-flash
Run steps 1–2 and paste:
- the
HTTP ###line - and the first ~200–400 chars of
/tmp/gemini-models.json
…and I’ll tell you exactly whether it’s a missing key, a permissions issue, or which model name to use.
trident50@RobsUbuntu:~$ curl -sS
-o /tmp/gemini-models.json
-w "HTTP %{http_code}\n"
"https://generativelanguage.googleapis.com/v1beta/models?key=${GEMINI_API_KEY}"
head -c 400 /tmp/gemini-models.json && echo
HTTP 403
{
"error": {
"code": 403,
"message": "Method doesn't allow unregistered callers (callers without established identity). Please use API Key or other form of API consumer identity to call this API.",
"status": "PERMISSION_DENIED"
}
}
trident50@RobsUbuntu:~$ python3 - <<'PY'
import json
data=json.load(open("/tmp/gemini-models.json"))
for m in data.get("models", []):
name = m.get("name","")
methods = m.get("supportedGenerationMethods", [])
if "generateContent" in methods and "gemini" in name:
# name looks like "models/gemini-..."
print(name, methods)
PY
trident50@RobsUbuntu:~$
That result is actually super informative:
HTTP 403+ “unregistered callers… use API Key” almost always means your shell didn’t send a valid API key (i.e.${GEMINI_API_KEY}was empty in that terminal), or the key is restricted in a way that blocks this endpoint.
And the python json decode + curl: (23) is just fallout from “the file contains an error JSON, not a models list”.
Step 1 — confirm whether your terminal has the key (don’t paste the key)
echo "GEMINI_API_KEY length = ${#GEMINI_API_KEY}"
- If it prints
0, your gateway service has the key (OpenClaw can use it) but your interactive shell does not.
If length is 0: pull it from the systemd service env into your shell (no printing)
export GEMINI_API_KEY="$(
systemctl --user show openclaw-gateway -p Environment --value \
| tr ' ' '\n' \
| sed -n 's/^GEMINI_API_KEY=//p'
)"
echo "GEMINI_API_KEY length = ${#GEMINI_API_KEY}"
Step 2 — rerun the models list call
curl -sS \
-o /tmp/gemini-models.json \
-w "HTTP %{http_code}\n" \
"https://generativelanguage.googleapis.com/v1beta/models?key=${GEMINI_API_KEY}"
head -c 200 /tmp/gemini-models.json && echo
You want HTTP 200.
If you still get 403 with a non-empty key
Then the key itself is blocked for that endpoint (common causes):
- API key restrictions don’t include the Generative Language API
- key has referrer/IP restrictions that don’t match your host
At that point, the fix is: create/adjust a Gemini API key that can call generativelanguage.googleapis.com from your server.
Once you get HTTP 200
Run the parser again and pick a model that supports generateContent, then set OpenClaw to it (dropping the models/ prefix):
python3 - <<'PY'
import json
data=json.load(open("/tmp/gemini-models.json"))
for m in data.get("models", []):
name=m.get("name","")
methods=m.get("supportedGenerationMethods", [])
if "generateContent" in methods and "gemini" in name:
print(name)
PY
Example: if it prints models/gemini-flash-latest, you set:
openclaw models set google/gemini-flash-latest
Run the echo length check and tell me whether it’s 0 or not — that’ll determine which branch you’re on.
None of this is working and it's getting confusing keeping with all these iterations of "fixing" - tell me, in plain language, what the problem is - is it the model is non-existant? The model isn't made for what I'm trying to do? That openclaw doesn't work with this model?
The plain-language problem is:
OpenClaw is configured to use Google (Gemini) as your primary model, but Google is rejecting it.
So it’s not “WordPress” and it’s not “browser automation” — it’s your Gemini provider/model configuration.
There are two concrete failure modes you’ve already seen:
1) The model name you set is not valid for your Gemini API key / endpoint
The dashboard error:
models/gemini-1.5-flash is not found for API version v1beta, or is not supported for generateContent
That means: OpenClaw did call Google, but Google answered “I don’t have that model (or not for this API/method)”.
So yes, for your current key + API, that model is “non-existent” in practice.
2) Your key can’t even list models (permission / identity issue)
Your direct test to list models returned:
HTTP 403 … unregistered callers … use API key
This usually means either:
- the key wasn’t actually present in that shell (
$GEMINI_API_KEYempty), or - the key is restricted / not enabled for the Generative Language API from that machine.
Either way, it confirms: your Google/Gemini setup is not in a clean, verifiable state.
What this is not
- It’s not that “OpenClaw doesn’t support Gemini” in general.
- It’s not that Gemini can’t write posts.
- It’s that the specific model string + key permissions you currently have do not work together.
What to do next (least confusing)
Step 1: Get stable immediately
Set your primary to a model that you know works (OpenAI) so you can keep building:
openclaw models set openai/gpt-5-mini
openclaw models fallbacks clear
openclaw models status
Now your agent stops failing just because Google is unhappy.
Step 2 (optional): Fix Gemini later, properly
Only after you’re stable:
- Make sure
GEMINI_API_KEYis truly set for the gateway service (and in your shell when testing). - Ensure the key is allowed to call
generativelanguage.googleapis.com. - Run the
v1beta/modelslist call and pick a model name that actually appears and supportsgenerateContent.
- Then set
openclaw models set google/<that-model>.
If you want, paste:
echo ${#GEMINI_API_KEY}(just the number), andopenclaw models status
…and I’ll tell you whether your key is missing vs restricted, and the cleanest way to fix it without more random iterations.
This is surreal. After hours I'm right back were we started from.
Yeah — and the reason it feels like Groundhog Day is you keep trying to “fix rate limits” by switching models/providers, but the workflow is:
- you change model config
- the primary model is invalid / unauth’d / wrong name
- OpenClaw hard-fails (or loops retries) and burns more calls
- you hit limits again
- everything looks broken again
So you end up back at “it can’t do anything”.
The clean “stop the madness” move
Pick one provider that you know works (OpenAI, since your key works), set it as primary, and remove Gemini from the equation until you’re stable.
Run exactly this on the Ubuntu box:
openclaw models set openai/gpt-5-mini
openclaw models fallbacks clear
openclaw models status
openclaw gateway restart
Then test a single small prompt from Telegram (not dashboard webchat): “write a 100 word post”.
If that works, you’ve got a stable baseline again.
Why I’m telling you to drop Gemini for now
Because your Gemini setup is currently failing with:
- “model not found / not supported”
- and your direct
v1beta/modelscall returned 403
That means it’s not just “pick a different Gemini model” — it’s an auth/permissions/compatibility rabbit hole. You can absolutely fix it later, but not while you’re trying to build the site.
Then (optional) add resilience without chaos
After you have a stable baseline:
- add one fallback model that you can actually use (and confirm it works)
- only then experiment with Google again
If you paste the output of openclaw models status after running those commands, I’ll confirm you’re truly back on a stable primary and not secretly still pointing at a broken provider.
I WAS stable, you told me the best fix for hitting the rate limits was to use a second provider. I don't care about "building the site" if I'm just going to keep bumping up into api limits to the point and I can't build the site anyway. And why would I be able to "fix this later" if we can't fix it now?
I get why it feels surreal: you were stable, then we introduced a second provider to solve OpenAI 429s, but that second provider (Gemini) is currently misconfigured / not working, so instead of “fallback”, you effectively added a second failure mode.
So the plain-language answer is:
- OpenClaw works with Gemini.
- Your Gemini configuration does not work right now (either the key isn’t being used in your shell when you test, and/or the model name you picked isn’t actually available for your key on the
v1beta generateContentendpoint). - Because Gemini is set as primary, every run tries it first and you keep seeing the error again.
The “fix it now” plan (one pass, no more random iteration)
Step 1 — Stop breaking your working system while we debug Gemini
Make OpenAI the primary again (so you can keep working), and keep Gemini out of the hot path:
openclaw models set openai/gpt-5-mini
openclaw models fallbacks clear
openclaw models status
Now you should be stable again.
Step 2 — Make your shell use the same GEMINI key the gateway uses (no guessing)
Right now your shell curl got the “unregistered callers” 403, which is almost always “your $GEMINI_API_KEY was empty in that terminal”.
Check length:
echo "GEMINI_API_KEY length = ${#GEMINI_API_KEY}"
If it’s 0, load it from the gateway service env:
export GEMINI_API_KEY="$(
systemctl --user show openclaw-gateway -p Environment --value \
| tr ' ' '\n' | sed -n 's/^GEMINI_API_KEY=//p'
)"
echo "GEMINI_API_KEY length = ${#GEMINI_API_KEY}"
Step 3 — Ask Google what models your key actually has (source of truth)
curl -sS \
-o /tmp/gemini-models.json \
-w "HTTP %{http_code}\n" \
"https://generativelanguage.googleapis.com/v1beta/models?key=${GEMINI_API_KEY}"
head -c 200 /tmp/gemini-models.json && echo
You need HTTP 200. If you still get 403, then your key is restricted/invalid for this API from this machine and you’ll need a new/unrestricted Gemini key (Google AI Studio style) or fix the key restrictions.
Step 4 — Only after you get HTTP 200: pick a model that supports generateContent
python3 - <<'PY'
import json
data=json.load(open("/tmp/gemini-models.json"))
for m in data.get("models", []):
if "generateContent" in m.get("supportedGenerationMethods", []):
print(m.get("name"))
PY
Take one line like models/gemini-… and set OpenClaw using it without the models/ prefix:
openclaw models set google/<that-model-name-without-models/>
Example: if it prints models/gemini-flash-latest:
openclaw models set google/gemini-flash-latest
Once Gemini is verified working, then we add it as a fallback (or make it primary) and you’ll finally have the “second provider” safety net we wanted.
If you paste just:
- the
GEMINI_API_KEY length = ...number, and - the
HTTP ###+ first ~200 chars from/tmp/gemini-models.json
…I can tell you which exact branch you’re in (missing key in shell vs key restricted vs model-name issue).
I had openclaw create some drafts yesterday, it worked no problem. Then I gave it additional tasks - to expand those drafts, add media, etc...and it didn't do it. I've created .md files given it explicit instructions on how to proceed, including credentials, and that it doesn't have to ask permission when I tell it to proceed - but it still does. Here is some of most recent "chat": https://pastes.io/run-expand
I had openclaw create some drafts yesterday, it worked no problem. Then I gave it additional tasks - to expand those drafts, add media, etc...and it didn't do it. I've created .md files given it explicit instructions on how to proceed, including credentials, and that it doesn't have to ask permission when I tell it to proceed - but it still does. Here is some of most recent "chat": https://pastes.io/run-expand
krill?
I read that paste. The key smell is: it never shows any actual REST calls happening — it just keeps “planning”, “acknowledging”, and then asking for permission again.
Plain-language: it’s not actually able to execute the “update WordPress via REST API” step from chat, because that requires running a real HTTP write (PUT/POST). In OpenClaw today that usually means using the exec tool + curl, and exec is gated by approvals. If approvals can’t pop up (headless box / no UI), it falls back to “deny” and you get the loop of “push now” → nothing.
The fix (make it stop asking + actually run curl)
- Check your current approvals:
openclaw approvals get
- Set approvals so the agent can run
/usr/bin/curlwithout prompting (gateway host). This is the minimal “let it do REST updates” config:
cat <<'JSON' | openclaw approvals set --stdin
{
"version": 1,
"defaults": { "security": "allowlist", "ask": "off", "askFallback": "allowlist" },
"agents": {
"main": {
"security": "allowlist",
"ask": "off",
"askFallback": "allowlist",
"allowlist": [
{ "pattern": "/usr/bin/curl" }
]
}
}
}
JSON
- Then rerun one small “update post 47” task and watch logs:
openclaw logs --follow
You should finally see actual exec activity (curl commands) and HTTP responses.
Why your .md “instructions” don’t override this
Those files can tell the LLM what to do, but they can’t bypass exec approvals. Approvals are a hard safety gate enforced by the gateway/node host, not the model.
If you paste the output of openclaw approvals get (it won’t contain secrets), I’ll tell you exactly what’s currently blocking you (defaults likely deny + askFallback=deny).
But why did it work yesterday?
Because “worked yesterday” doesn’t necessarily mean “the same mechanics were working”.
In practice it’s usually one (or more) of these:
- Yesterday’s task didn’t require
exec(curl)
- If it only generated text (or did read-only REST GETs), it can look like it’s “doing the job” without ever needing the gated tools.
- Today you asked it to update existing posts + add media, which typically requires HTTP PUT/POST → usually done via
exec+curl→ that’s exactly where approvals kick in.
- Approvals changed / got reset
- Exec approvals live in
~/.openclaw/exec-approvals.json. - If you restarted the gateway, updated OpenClaw, changed user/service env, or moved between “local” vs “gateway” targeting, you can end up back in a state where
askFallback=denyapplies (headless = no prompt UI = automatic deny).
- It’s a different command, so the old approval doesn’t match
- Even if you approved something yesterday, approvals are effectively tied to what executable/path is being run.
- “Create draft post” might have used one curl shape; “upload media / set featured image / download images” often involves additional commands or different binaries/paths → new allowlist miss → it asks again.
The quickest way to prove which case you’re in:
openclaw approvals get
If you paste that output here, I can tell you immediately whether you’re currently in deny mode / missing allowlist entries (most common cause of the “I’m waiting on you to allow me” loop).
Showing local approvals.
Approvals
┌───────────┬──────────────────────────────────────────────────────────────────────────────┐
│ Field │ Value │
├───────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Target │ local │
│ Path │ ~/.openclaw/exec-approvals.json │
│ Exists │ yes │
│ Hash │ 2882edc2db0415a415b5d81ab58d7755bcc753f653745b4b279f58bc82122cae │
│ Version │ 1 │
│ Socket │ ~/.openclaw/exec-approvals.sock │
│ Defaults │ none │
│ Agents │ 0 │
│ Allowlist │ 0 │
└───────────┴──────────────────────────────────────────────────────────────────────────────┘
No allowlist entries.
There it is. This explains everything about the “waiting for permission” loop:
- Agents: 0
- Allowlist: 0
- Defaults: none
So your gateway currently has an approvals file, but it contains no policy and no allowed commands. In a headless setup, that effectively means: exec can’t run anything, and prompts can’t be resolved → the agent stalls.
For WordPress REST updates (PUT/POST), the agent typically needs exec + /usr/bin/curl. With approvals empty, it can talk all day and never actually push.
Fix it (allow curl, no prompts)
Run this exactly:
cat <<'JSON' | openclaw approvals set --stdin
{
"version": 1,
"defaults": { "security": "allowlist", "ask": "off", "askFallback": "allowlist" },
"agents": {
"main": {
"security": "allowlist",
"ask": "off",
"askFallback": "allowlist",
"allowlist": [
{ "pattern": "/usr/bin/curl" }
]
}
}
}
JSON
Then confirm:
openclaw approvals get
You should now see:
- Defaults:
security=allowlist, ask=off, askFallback=allowlist - Agents:
1 - Allowlist:
1(with/usr/bin/curl)
Then retry your task
Re-run “expand post 47 and PUT it back as draft” and tail logs:
openclaw logs --follow
You should finally see real exec activity / HTTP responses instead of “acknowledged… starting…” with nothing happening.
If you want maximum autonomy (no allowlist), we can do that too (security=full), but the allowlist-with-curl is the smallest change that makes WP REST updates actually work.
Showing local approvals.
Approvals
┌───────────┬──────────────────────────────────────────────────────────────────────────────┐
│ Field │ Value │
├───────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Target │ local │
│ Path │ ~/.openclaw/exec-approvals.json │
│ Exists │ yes │
│ Hash │ 39302cf1c9f1b454eedb23e39384da9fafb29a5dc1aa8593c6ec77bf10f320a3 │
│ Version │ 1 │
│ Socket │ default │
│ Defaults │ security=allowlist, ask=off, askFallback=allowlist │
│ Agents │ 1 │
│ Allowlist │ 1 │
└───────────┴──────────────────────────────────────────────────────────────────────────────┘
Allowlist
┌──────────┬────────┬──────────────────────────────────────────────────────────┬───────────┐
│ Target │ Agent │ Pattern │ Last Used │
├──────────┼────────┼──────────────────────────────────────────────────────────┼───────────┤
│ local │ main │ /usr/bin/curl │ unknown │
Good — that’s the first time your setup has shown a configuration that can actually execute WordPress REST writes without stalling.
You now have:
security=allowlistask=off/usr/bin/curlallowlisted
That should eliminate the “waiting on you to allow me” for anything the agent does via curl.
Next step: do a tiny smoke test (1 post, minimal change)
Before you ask for 5× 2000-word expansions again, force a quick proof that “exec→curl→WP REST PUT” is working:
- In one terminal:
openclaw logs --follow
- In chat, tell the agent something like:
“Test WP REST update: fetch post 47 and update it by appending a single line
<!-- exec-smoke-test -->to the content. Keep status=draft. Report the HTTP status + response JSON.”
If it succeeds, you’ll see curl exec activity in logs and the post changes immediately.
If it still doesn’t run
Watch the logs for this exact kind of message: exec denied: allowlist miss.
That means the agent is trying to run something other than /usr/bin/curl (common ones are wrappers like /usr/bin/env or a shell). If that happens, paste the deny line and we’ll add the missing binary with:
openclaw approvals allowlist add "/path/to/the/binary"
Once the smoke test passes, then go back to “expand drafts 47–51 + add media”, because media workflows often need additional binaries beyond curl.
Update completed.
HTTP result for GET (fetch): 200 OK (initial fetch returned post JSON saved to /tmp/post47.json).
HTTP result for update POST: 200 OK
Response JSON (trimmed): id=47, status="draft", modified="2026-03-06T07:24:39", content.rendered now ends with <!-- exec-smoke-test -->.
Full response saved to /tmp/resp47.json on the host. If you want, I can:
Show the updated content for verification, or
Repeat the same smoke-test append for posts 48–51 and report their HTTP statuses. - That's the chat windows response and here are the logs: https://pastes.io/trident50r-76246
Nice — that’s a real breakthrough. The smoke test did what it was supposed to do:
- GET 200
- update 200
- post 47 content changed (draft) ✅
So the “permission loop” was the blocker, and exec approvals fixed it.
What the logs are telling you now
At the very bottom of your paste:
/bin/bash: line 1: jq: command not found
So the next blocker is simply: jq isn’t installed, and the agent tried to use it to parse JSON.
Fix (recommended)
Install jq on the Ubuntu host:
sudo apt-get update
sudo apt-get install -y jq
(After that, the agent’s “fetch JSON → parse → update JSON → report” flow becomes much more reliable.)
Also: those “ENOENT read failed” lines
These just mean the agent tried to read files you referenced but they don’t exist at the paths it expects:
/home/trident50/.openclaw/workspace/memory/2026-03-06.md/home/trident50/.openclaw/workspace/system_map.md
Not fatal, but if you want it to stop whining, create them (even empty) in ~/.openclaw/workspace/….
Next step
Once jq is installed, tell it to repeat the exact same update pattern for posts 48–51, then you can move on to “expand drafts + add media” with way fewer stalls.
If you hit a new stall, paste the first exec denied / error line from logs — now we can actually diagnose the next concrete failure instead of guessing.
What is that .md file with the date in the memory folder? Isn't that created automatically each day and kept for two days? I thought it was a reference to the chats from each day
That dated memory/YYYY-MM-DD.md file is not an automatic “daily chat transcript” feature.
It’s just a normal markdown file in your workspace that only exists if you (or the agent) created it. OpenClaw won’t create one every day by itself, and it doesn’t automatically “keep two days” of those files.
What is automatic vs not:
- Automatic (if present):
MEMORY.md/memory.mdin the workspace root gets injected as durable context. - Not automatic:
workspace/memory/*.md(includingmemory/2026-03-06.md) is not auto-created and not auto-injected unless your agent explicitly reads it.
The “kept for two days” thing you’re thinking of is more like session/thread binding max-age behavior (chat/session routing), not a “daily markdown memory file” policy.
In your logs earlier, the agent tried to read ~/.openclaw/workspace/memory/2026-03-06.md and it was missing — that’s why you saw ENOENT. If you want that daily-log pattern, just create the folder/file once and tell the agent to append to “today’s file” each run.
it's still not functioning. Here are it's responses and some log files: https://pastes.io/qXrc36i5
I pulled your paste. Two concrete takeaways:
1) It is functioning at the “can I update WP via REST?” level
All the smoke-tests (GET 200 / UPDATE 200) prove the pipeline works when it actually runs the curl updates.
So you’re no longer blocked by “permission to exec curl” — that part is solved.
2) Your logs show a real hard failure: jq is missing
This is the only actual tool error in the log snippet:
exec failed: /bin/bash: line 1: jq: command not found
That means: the agent is trying to parse WP’s JSON responses using jq, and on your host jq isn’t installed, so parts of its “fetch → parse → update” flow will fail or abort.
Fix that first:
sudo apt-get update
sudo apt-get install -y jq
(After installing, re-run the same action once; you should stop seeing that error.)
Why it still “doesn’t do the big expansions”
From the chat you pasted, it keeps replanning and asking A/B style questions instead of committing to a long run. Two tips that usually stop that:
- Do one post end-to-end first (47 only). Don’t ask for 5 posts until you see one fully expanded + PUT successfully.
- Don’t send “why aren’t you working” messages while it’s generating. In chat-driven agents, that often interrupts/resets the run and you get another “status update” instead of completion.
Minimal next test
After jq is installed, tell it:
“Expand post 47 only to 1500–2200 words and PUT it back as draft. No questions, no A/B. After the PUT, report the HTTP code.”
If that still doesn’t land, paste the next exec failed / exec denied line after the install — at this point we’re down to fixable, specific errors.
jq was already installed and update was run - both about an hour ago.
That jq: command not found line in the paste is timestamped 12:24:23. If you installed jq “about an hour ago”, that log line is almost certainly from before the install — it doesn’t prove the current state.
Let’s stop guessing and verify what the agent’s exec environment can see:
1) Confirm jq is visible to a login bash (this matches what the agent was using)
Run as the same user the gateway runs under (trident50):
which jq
/bin/bash -lc 'command -v jq; jq --version; echo PATH=$PATH'
- If
which jqworks but the/bin/bash -lc ...part says “not found”, you’ve got a PATH/login-shell issue (common if dotfiles overwrite PATH). In that case, the agent can run/usr/bin/curl(absolute) but fails on plainjq.
2) Show me the newest exec error after your install
grep -n "exec failed" /tmp/openclaw/openclaw-2026-03-06.log | tail -n 30
grep -n "jq: command not found" /tmp/openclaw/openclaw-2026-03-06.log | tail -n 10
If there are no new exec failed lines, then the remaining problem isn’t jq at all — it’s that the agent is not actually starting the long “generate 2000 words + PUT” step (often because it keeps getting interrupted by new chat messages / replanning).
Post the output of the /bin/bash -lc ... command and the last few exec failed lines and I’ll tell you exactly which bucket you’re in.
rident50@RobsUbuntu:~$ which jq
/bin/bash -lc 'command -v jq; jq --version; echo PATH=$PATH'
/usr/bin/jq
/usr/bin/jq
jq-1.6
PATH=/home/trident50/.npm-global/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/snap/bin
Great — that proves jq is not the current problem anymore. Your exec environment can see it fine:
jq-1.6- PATH includes
/usr/bin bash -lcresolves it
So we can rule out the “missing jq” failure as the reason it’s still stalling right now. That error in the earlier log was just from before you installed it.
What’s left (and why it still feels “not functioning”)
At this point the failure mode is almost certainly one of these:
- It’s not actually making the “generate → PUT update” tool calls at all (it’s stuck in replanning / chatty status mode).
- The run is failing on something else (429/rate limit, timeout, allowlist miss on another binary, WP 401/413, etc.) — but you’re not seeing the specific error yet.
We need one clean capture of a single expand attempt in the logs.
Do this exact debug run (10 minutes, deterministic)
- Start log follow:
openclaw logs --follow
- Send ONE command to the agent:
“Expand post 47 only to 1500–2200 words and PUT it back as draft. Don’t ask questions. Don’t offer A/B. Don’t reply until the PUT finishes and you can report HTTP status.”
- Do not send any other messages for ~10 minutes (no “status?”). Just watch logs.
Then paste just the relevant log slice
Run this and paste the output:
grep -nE "embedded run start|LLM error|All models failed|rate limit|429|exec denied|exec failed|HTTP|wp-json" \
/tmp/openclaw/openclaw-2026-03-06.log | tail -n 120
That will tell us immediately which bucket you’re in:
- no exec calls at all (agent not executing),
- exec denied (allowlist miss on something besides curl),
- LLM/rate-limit/timeouts,
- WP API rejecting the update.
Right now we’ve fixed the “can’t run commands” part — the next step is identifying the next concrete blocker from the logs.
@late furnace, this thread is getting very long and answers may not be accurate due to the large context. Please start a new thread for any different problems/topics. @obtuse pollen please sum up the answer to the initial message and the conversation briefly.
It worked. Here is the output:$ grep -nE "embedded run start|LLM error|All models failed|rate limit|429|exec denied|exec failed|HTTP|wp-json"
/tmp/openclaw/openclaw-2026-03-06.log | tail -n 120
44:{"0":"[tools] exec failed: /bin/bash: line 1: jq: command not found\n\nCommand not found","_meta":{"runtime":"node","runtimeVersion":"22.22.0","hostname":"unknown","name":"openclaw","date":"2026-03-06T12:24:23.782Z","logLevelId":5,"logLevelName":"ERROR","path":{"fullFilePath":"file:///home/trident50/.npm-global/lib/node_modules/openclaw/dist/subsystem-BfkFJ4uQ.js:260:68","fileName":"subsystem-BfkFJ4uQ.js","fileNameWithLine":"subsystem-BfkFJ4uQ.js:260","fileColumn":"68","fileLine":"260","filePath":".npm-global/lib/node_modules/openclaw/dist/subsystem-BfkFJ4uQ.js","filePathWithLine":".npm-global/lib/node_modules/openclaw/dist/subsystem-BfkFJ4uQ.js:260","method":"console.error"}},"time":"2026-03-06T07:24:23.782-05:00"}
45:{"0":"[tools] exec failed: /bin/bash: line 1: jq: command not found\n\nCommand not found","_meta":{"runtime":"node","runtimeVersion":"22.22.0","hostname":"unknown","name":"openclaw","date":"2026-03-06T12:24:23.784Z","logLevelId":5,"logLevelName":"ERROR","path":{"fullFilePath":"file:///home/trident50/.npm-global/lib/node_modules/openclaw/dist/logger-DOAKKqsf.js:22:34","fileName":"logger-DOAKKqsf.js","fileNameWithLine":"logger-DOAKKqsf.js:22","fileColumn":"34","fileLine":"22","filePath":".npm-global/lib/node_modules/openclaw/dist/logger-DOAKKqsf.js","filePathWithLine":".npm-global/lib/node_modules/openclaw/dist/logger-DOAKKqsf.js:22","method":"logWithSubsystem"}},"time":"2026-03-06T07:24:23.784-05:00"}
trident50@RobsUbuntu:~$
Will do Hermit!
Awesome — and that grep output actually makes sense.
Your grep … | tail is only showing the last matching error lines in the whole log file, and the only thing in the file that matches your pattern right now is the old jq: command not found error from 12:24.
If the run succeeded, there often won’t be any new lines matching:
exec failedexec deniedLLM error429
etc.
So: the grep output does not mean it failed again — it just means “no new errors of those types”.
What to do next (now that it worked)
- Repeat the same “expand + PUT” for post 48 next (one post at a time is the most reliable):
- “Expand post 48 to 1500–2200 words using template, PUT as draft, don’t ask questions, report HTTP status + word count.”
- If you want a better “did it actually do the PUT?” proof from logs, don’t grep for errors — instead just watch live while it runs:
openclaw logs --follow
or verify directly via REST:
curl -sS "https://technologysolutions.com/wp-json/wp/v2/posts/47" | jq -r '.modified, (.content.rendered|length)'
If you paste the agent’s “post 47 completed” message (HTTP status + any summary), I can help you turn it into a repeatable loop for 48–51 without it slipping back into the A/B replanning mode.
Cool. Once you’ve got 48–51 done the same way, if anything slips back into “planning but not executing”, paste the first new exec denied / exec failed / LLM error line from openclaw logs --follow and we’ll nail it quickly.
If the approvals fix was the blocker for the “waiting on you to allow me” loop, please right‑click the solution message → Apps → ✅ Mark Solution so Answer Overflow indexes it for the next person.
Right-click where,, exactly?
On the message you want to mark as the solution (the one with the approvals fix):
Desktop (Discord app / web)
- Hover the message
- Right‑click the message bubble (or click the … menu)
- Go to Apps
- Click ✅ Mark Solution
Mobile
- Long‑press the message
- Tap Apps
- Tap ✅ Mark Solution
If you don’t see Apps → Mark Solution, it usually means either:
- the channel/thread isn’t configured for solutions, or
- only the thread starter / mods can mark it.