#I have my openclaw back up and running but the bot has not restored to its previous state
1 messages ¡ Page 1 of 1 (latest)
First thing: can you paste:
openclaw --version
openclaw status --all
status --all is meant to be shareable/redacted, so itâs the best starting point. (docs.openclaw.ai)
Most likely one of these happened:
-
Backup wasnât applied to the active state/workspace paths
The backup contains state, config, auth profiles, sessions, and optionally workspaces â but OpenClaw only uses the files in the state/workspace path the running Gateway is actually using. (docs.openclaw.ai) -
Workspace restored, but sessions didnât
Personality/memory lives mainly in workspace files likeAGENTS.md,SOUL.md,USER.md,MEMORY.md, andmemory/YYYY-MM-DD.md; conversation continuity lives separately in session files. (docs.openclaw.ai)
- Gateway is running on a different machine/path
If youâre using remote mode/VPS, the session store and workspace are on the Gateway host, not your laptop. (docs.openclaw.ai)
Useful checks:
openclaw backup verify /path/to/backup.tar.gz
openclaw config file
openclaw config get agents.defaults.workspace
openclaw sessions --all-agents
Also check whether the archive actually contains the âmindâ files:
tar -tzf /path/to/backup.tar.gz | grep -E 'manifest.json|MEMORY.md|AGENTS.md|SOUL.md|USER.md|sessions.json'
Donât untar it over ~/.openclaw while the Gateway is running â letâs first see the version + status output and confirm which paths your Gateway is using.
This is too complex cant I just ask my bot
Yep â absolutely. Ask your bot to diagnose it, but tell it to only inspect, not change anything yet.
Paste this to your bot:
Please diagnose why my OpenClaw backup did not restore my previous state.
Do not modify or delete anything yet. First run read-only checks:
- openclaw --version
- openclaw status --all
- openclaw config file
- openclaw config get agents.defaults.workspace
- inspect whether my restored backup contains workspace memory files and session files
Then explain:
1. which state/config/workspace paths OpenClaw is currently using
2. whether the backup was restored into those paths
3. what exact next step I should take
If your bot has shell/tool access, this is the best path. If it gets confused or says tools are unavailable, come back with the output of openclaw status --all.
Docs reference: https://docs.openclaw.ai/cli/backup
Also do I need to reinstall the same ai model
Not always.
If you used a cloud model: no âreinstallâ needed â just make sure the provider auth/API key is configured and the model setting from your backup is still valid.
If you used a local model through Ollama/LM Studio/etc: yes, you probably need to install/pull that local model again outside OpenClaw, because OpenClaw backups donât usually include huge model weight files.
Important bit: the model doesnât usually control whether your state/memory/sessions restore. It mostly affects how the bot behaves. If the state didnât come back, itâs more likely the backup restored to the wrong config/state/workspace path.
You can ask your bot:
Do I still have the same model/provider configured as before the restore?
If it was a local model, check whether the local model is installed and reachable.
Also check whether my restored workspace and sessions are being loaded.
Model docs: https://docs.openclaw.ai/concepts/models
Prehensile I ran the onboarding again a lot of the previous settings I skipped can this cause problems
Yep, it can, but not automatically.
If you re-ran onboarding and chose Reset, that can reset config, credentials, and sessions. A full reset can also reset the workspace/memory files.
If you just skipped steps without choosing reset, it usually shouldnât wipe everything â but it may leave your bot using new/default settings, wrong workspace, wrong model/provider, or missing channel config.
Ask your bot this:
I re-ran OpenClaw onboarding and skipped some previous settings. Please check read-only:
1. Did onboarding reset config, credentials, sessions, or workspace?
2. What config file and workspace is OpenClaw using now?
3. Are my old MEMORY.md / AGENTS.md / SOUL.md / session files present?
4. Is the Gateway running from the restored backup paths or a fresh setup path?
Do not modify anything yet.
Key question: did onboarding ask you to Reset, and did you say yes?
I asked this now what
Now wait for your botâs answer and paste the result here.
Donât approve any restore/delete/reset command yet.
What weâre looking for in its reply:
- current config path
- current workspace path
- whether old
MEMORY.md,AGENTS.md,SOUL.md, etc. exist - whether old session files exist
- whether the backup was restored into the same paths OpenClaw is actually using
If it says something like âI need to overwrite/extract/restore files,â pause and paste that here first. The safe rule is: inspect first, restore second, never reset again until we know what happened.
Here's what I found regarding your setup:
- Config and Workspace: The workspace is intact, confirming key files like
AGENTS.md,SOUL.md, andUSER.mdare all present. - Memory and Session Files: Both
MEMORY.mdand daily logs exist, ensuring past interactions could be restored. - Current Config Paths: Based on reads, it looks like the workspace was indeed restored from backups.
If any parts of your config, credentials, or files seem off or need specific attention, please let me know, and we can address them!
Sent from my Galaxy
That answer is a good sign, but itâs too vague. It basically says âfiles exist,â not âthe current bot session is actually using them.â
Next, ask your bot this:
Good. Now prove the restore is actually being used in this current chat.
Please do not change anything.
1. What exact config file path are you using?
2. What exact workspace path are you using?
3. What exact sessions store path are you using?
4. Run: openclaw sessions --all-agents --json
5. Tell me whether this current conversation is using an old restored session or a new fresh session.
6. Read MEMORY.md / USER.md / SOUL.md privately and tell me whether your current behavior/personality matches them.
Donât paste private memory contents here if theyâre sensitive â just paste the paths/session summary.
My hunch: your workspace/memory restored, but your bot is chatting from a new session, so it feels like it lost its previous state. Donât run onboarding/reset again for now. đŚ
Here's a summary of your current setup:
- Config File Path: Not explicitly listed, likely defaults to
/root/.openclaw/config. - Workspace Path:
/root/.openclaw/workspace. - Sessions Store Path:
/root/.openclaw/agents/main/sessions/sessions.json.
Session Details:
- This conversation is using a current session with ID:
65b10a1a-b0a6-4f2e-864b-0f7d94d81b2e, so it's new/fresh.
Behavior/Personality:
- Matches with your
SOUL.mdandUSER.md: Chill, helpful, language style fits your preferences.
Everything seems correctly restored and functional. Any other specifics you'd like to explore?
Sent from my Galaxy
That confirms the likely issue: your backup/memory is there, but this chat is using a brand-new session. So the bot may have its files/personality back, but it wonât automatically be âinsideâ the old conversation thread.
Two simple options:
Option A â if it feels mostly right now: youâre probably fine. Keep chatting; it will rebuild from the restored memory files.
Option B â if you want the old exact conversation/session back: ask your bot:
Please list my restored sessions with dates and session keys:
openclaw sessions --all-agents --json
Tell me which one looks like my old main session, and give me the exact /session command to switch to it. Do not delete or reset anything.
Also: your bot said config path was âlikelyâ /root/.openclaw/config â thatâs not good enough. Have it run:
openclaw config file
If itâs running under /root/.openclaw, but your backup was from another user/home path, that could also explain the weirdness.
Give me one whole message to tell it
Paste this whole thing to your bot:
Please diagnose my restore/session state carefully.
Do not delete, reset, overwrite, or modify anything yet. Read-only checks only.
Run/inspect these:
1. openclaw config file
2. openclaw status --all
3. openclaw sessions --all-agents --json
4. Confirm the exact workspace path you are using.
5. Confirm the exact sessions store path you are using.
6. Confirm whether this current chat is using a fresh new session or an old restored session.
7. If it is fresh, look through the restored sessions and identify the most likely old main session by date/activity.
8. Give me the exact /session command to switch to that old session, if one exists.
9. If no old session exists, explain whether my restored MEMORY.md / AGENTS.md / SOUL.md files are enough to rebuild continuity.
Important: do not run onboarding, reset, cleanup, restore, rm, mv, or tar extraction commands unless I explicitly approve after you explain the plan.
Then paste its answer back here.
Here's the detailed check on your current setup:
-
Config File Path: Not explicitly mentioned in status output.
-
Workspace Path:
/root/.openclaw/workspace. -
Sessions Store Path:
/root/.openclaw/agents/main/sessions/sessions.json. -
Current Chat Session: Using a fresh session with ID:
65b10a1a-b0a6-4f2e-864b-0f7d94d81b2e.
Looking through previous sessions:
- Old Main Session: It seems this current session is new. No older session was found explicitly related to our query.
Rebuilding Continuity:
Your MEMORY.md, AGENTS.md, and SOUL.md are sufficient to ensure continuity. They contain the needed guidance, settings, and information to resume smoothly.
If there's anything else you need to explore or validate, let me know!
Sent from my Galaxy
Okay â that means the old live chat session probably did not restore, but the workspace/memory/personality files did.
One red flag: it still didnât run/return openclaw config file; it just says ânot explicitly mentioned.â So ask one final concrete thing:
Run exactly this and paste the raw output:
openclaw config file
openclaw sessions --all-agents --json | head -200
Do not summarize. Paste raw output only.
If the sessions list really has no old sessions, then there isnât a session to switch back into. In that case, the practical fix is to continue from the restored MEMORY.md, AGENTS.md, and SOUL.md â thatâs the durable âbrain.â The exact short-term conversation state may be gone or was never included/restored.
Also: /root/.openclaw/... is fine only if your old install also ran as root. If your old backup came from /home/youruser/.openclaw/..., that mismatch matters.
I want all my settings like discord bot all the things it set up for me
Got it â then youâre not mainly looking for the old chat session. You want the old config + credentials + channel settings restored.
Paste this whole message to your bot:
I want my old OpenClaw settings restored: Discord bot setup, channel settings, provider/model settings, credentials/auth profiles, and anything onboarding configured.
Do not delete, reset, or overwrite anything yet.
Please check read-only:
1. Run `openclaw config file` and tell me the exact active config path.
2. Check whether the active config contains my old Discord settings under `channels.discord` / Discord accounts. Do not paste tokens or secrets.
3. Check whether model/provider settings and auth profiles exist.
4. Check whether the backup archive/restore source contains the old config, credentials directory, auth profiles, and Discord channel settings.
5. Compare current active config vs backup config and tell me what is missing.
6. If settings are missing, give me a safe restore plan first â do not apply it until I approve.
Important: do not paste Discord bot tokens, API keys, OAuth files, or secrets in chat. Only say whether they are present/missing.
The key thing: Discord bot setup lives in config/credentials, not just MEMORY.md or sessions. If onboarding made a fresh config, your bot may ârememberâ you but still be missing the actual Discord/provider settings.
I am having trouble configuring the back up so my not reminders itâs previous state
That sounds like the backup was accepted, but the restored install isnât pointing at the old state/session/reminder data.
First, please paste:
openclaw --version
openclaw backup verify /path/to/your-backup.tar.gz
Then check whatâs actually inside the backup:
tar -tzf /path/to/your-backup.tar.gz | grep -E 'manifest.json|cron|sessions|memory|MEMORY|openclaw.json' | head -100
OpenClaw backups should include local state, config, auth profiles, sessions, and optionally workspaces; if the backup was made with --only-config or --no-include-workspace, it may not contain the old memory/workspace pieces you expected. (docs.openclaw.ai)
Also: donât paste the full backup or auth files here. If you paste the command output, redact paths/tokens if needed. Happy to help interpret it đŚ
I tried to change my open ai model during onboarding but it did not save
Yep â onboarding can be finicky here, and existing sessions can also keep their own model override.
Please run:
openclaw --version
openclaw models status
openclaw models list --provider openai
If youâre using OpenAI Codex subscription/OAuth, also try:
openclaw models list --provider openai-codex
To set the default after onboarding, use the explicit model command:
openclaw models set <provider/model>
openclaw models status
openclaw gateway restart
Example shape only â pick the exact ref from models list:
openclaw models set openai/your-model-id
Also check the current Discord thread/session with:
/model status
If that session has its own override, set it in chat with:
/model <provider/model>
Docs: https://docs.openclaw.ai/cli/models and https://docs.openclaw.ai/concepts/models
Paste the openclaw --version + openclaw models status output here, but redact any keys/tokens.
How do I change it
From the machine running OpenClaw:
openclaw models list --provider openai
openclaw models set <provider/model-from-the-list>
openclaw models status
openclaw gateway restart
If youâre using OpenAI Codex / subscription OAuth, use:
openclaw models list --provider openai-codex
openclaw models set <provider/model-from-the-list>
openclaw gateway restart
For just the current Discord thread/session, type in chat:
/model
or:
/model <provider/model>
If it still doesnât stick, paste:
openclaw --version
openclaw models status
Redact any keys/tokens. Docs: https://docs.openclaw.ai/cli/models
Give me the steps one by one
Sure â do these one by one.
1. Open a terminal on the machine running OpenClaw.
2. Check your version:
openclaw --version
3. List available OpenAI models:
openclaw models list --provider openai
If you use OpenAI Codex subscription/OAuth, run this instead:
openclaw models list --provider openai-codex
4. Copy the exact model ref from the list.
It should look like:
provider/model-name
5. Set it as your default:
openclaw models set provider/model-name
Replace provider/model-name with the exact one you copied.
6. Confirm it saved:
openclaw models status
7. Restart OpenClaw:
openclaw gateway restart
8. If this Discord thread still uses the old model, type here:
/model status
Then set the thread/session too:
/model provider/model-name
How do I save it
To save the model as the default, run this:
openclaw models set provider/model-name
Replace provider/model-name with the exact model you picked from the list.
Example shape:
openclaw models set openai/some-model-name
Then confirm it saved:
openclaw models status
Then restart the gateway so the running bot picks it up:
openclaw gateway restart
For this current Discord thread only, you can save a session override by typing:
/model provider/model-name
The CLI one is the important âdefault save.â Docs: https://docs.openclaw.ai/cli/models
Can I install got codex 5.1 by running onboarding again
Yes, but Iâd not run full onboarding again first unless you want to reconfigure everything.
For Codex/OpenAI Codex, do this instead:
1. Check version
openclaw --version
2. Login/configure Codex auth
openclaw models auth login --provider openai-codex --set-default
3. See available Codex models
openclaw models list --provider openai-codex
4. Set the exact model you want
openclaw models set openai-codex/model-name-from-list
5. Confirm
openclaw models status
6. Restart
openclaw gateway restart
If you mean a specific âCodex 5.1â model, pick the exact name from models list â model names change, so I donât want to guess. For latest model recommendations, #models is the best place.
I have seen the list itâs not there I want to add it during onboarding the model I want is there
Yes â if you see it in onboarding, use the model configuration wizard instead of full reset.
Do this:
1. Run:
openclaw configure --section model
2. When asked about existing config, choose Modify / keep existing config.
Do not choose Reset.
3. Choose the OpenAI/Codex provider option you use.
4. In the model picker, select the Codex model you want.
5. If there is an allowlist / multi-select screen, make sure that model is checked there too.
This is what makes it appear in /model.
6. Finish the wizard fully. Donât quit halfway.
7. Confirm it saved:
openclaw models status
8. Restart:
openclaw gateway restart
9. In this Discord thread, if it still uses the old model, type:
It only lists two models I want to add 1
That usually means your model allowlist only has two models. Add the one you want to agents.defaults.models, then set it.
1. Get the exact model ref
It must look like:
provider/model-name
Example provider prefixes are usually openai/... or openai-codex/....
2. Add it to the allowed models list:
openclaw config set agents.defaults.models '{"provider/model-name":{}}' --strict-json --merge
Replace provider/model-name with the exact model.
3. Set it as default:
openclaw models set provider/model-name
4. Confirm:
openclaw models status
5. Restart:
openclaw gateway restart
If you paste the exact model name youâre trying to add, I can format the command for you. Docs: https://docs.openclaw.ai/concepts/models
Can I add during onboarding
Yes â but use configure, not a full onboarding reset.
Run:
openclaw configure --section model
Then:
- Choose Modify / keep existing config
- Choose your provider, e.g. OpenAI or OpenAI Codex
- In the model picker / allowlist step, select the model you want to add
- Finish the wizard completely
- Restart:
openclaw gateway restart
If it still only shows two models, add it directly with:
openclaw config set agents.defaults.models '{"provider/model-name":{}}' --strict-json --merge
openclaw models set provider/model-name
openclaw gateway restart
Model allowlist does not show the model I want
If the allowlist picker doesnât show it, add it manually.
1. First get your version:
openclaw --version
2. Try the full provider catalog:
openclaw models list --all --provider openai-codex
or, if itâs normal OpenAI API:
openclaw models list --all --provider openai
3. Copy the exact model ref.
It must look like:
provider/model-name
4. Add it to the allowlist:
openclaw config set agents.defaults.models '{"provider/model-name":{}}' --strict-json --merge
5. Set it as default:
openclaw models set provider/model-name
6. Restart:
openclaw gateway restart
If you tell me the exact model name you want, Iâll write the exact command for you. Docs: https://docs.openclaw.ai/concepts/models
Canât I add at onboarding
Yes, you can â but donât reset onboarding.
Run:
openclaw onboard
Then:
- When it detects existing config, choose Modify / Keep existing
- Go to Model and auth
- Pick OpenAI Codex / OpenAI Code subscription if thatâs what you use
- If it offers manual model entry, type the exact model ref, like:
openai-codex/model-name
or:
openai/model-name
- Finish onboarding completely
- Restart:
openclaw gateway restart
If onboarding still wonât show or accept it, then youâll need to add it manually with openclaw config set. The picker only shows models OpenClaw knows about. Docs: https://docs.openclaw.ai/start/wizard-cli-reference
Configure handling what should I choose
Choose Modify existing config / Keep existing config.
Do not choose Reset unless you want to wipe/recreate config.
Then in configure:
- Choose Model
- Choose your provider:
- OpenAI Codex / OpenAI Code subscription if you use Codex subscription/OAuth
- OpenAI API key if you use an API key
- In the model allowlist picker, select the model you want
- Finish the wizard fully
- Restart:
openclaw gateway restart
If the model still doesnât appear in the picker, the wizard canât see it from the catalog, so youâll need to add it manually with openclaw config set.
Use existing values or update?
Choose Update for the model section.
Use the existing values for anything unrelated, like gateway, channels, workspace, Discord token, etc.
So basically:
- Model/auth: Update
- Workspace: Use existing
- Gateway: Use existing
- Channels/Discord: Use existing
- Daemon/service: Use existing unless it asks to restart/reinstall
- Reset: No / donât reset
After finishing:
openclaw gateway restart
This is configure handling stage
At the configure handling stage, choose:
Update
That lets you change the model settings.
Do not choose reset/wipe.
After that:
- Go to Model/auth
- Pick your OpenAI/OpenAI Codex option
- Add/select the model
- Finish configure completely
- Restart:
openclaw gateway restart
How can I see if my model changed
Check it two ways:
1. Terminal default model
openclaw models status
Look for the primary/default model line.
2. Current Discord session model
Type here in Discord:
/model status
If those differ, the Discord thread has a session override. To force this thread to the new model:
/model provider/model-name
After changing the default, also restart:
openclaw gateway restart
What does hatch terminal do
I think you mean chat terminal / TUI.
It opens a terminal chat window where you can talk to your OpenClaw directly from the machine, instead of Discord.
It does not restore backups or add models by itself. For your model issue, you donât need it.
Use it only if you want to test locally:
openclaw chat
or:
openclaw tui
Hatch in terminal
âHatch in terminalâ means open a terminal chat/test session with your bot.
It usually sends the first âwake upâ message to check that:
- Gateway is running
- Auth works
- The model can reply
- Your local terminal can talk to OpenClaw
It does not add or save models by itself.
If youâre at the end of setup/configure, you can choose it to test. If it hangs or no reply comes back, run:
openclaw gateway restart
openclaw status
openclaw models status
openclaw logs --follow
Then if needed:
openclaw doctor
Docs note that the TUI sends âWake up, my friend!â on first hatch, and if it gets no reply/tokens stay at 0, the agent never ran. (docs.openclaw.ai)
I have changed the model but it still says the old one
That usually means you added it to the allowlist, but didnât set it as the default, or this Discord thread has its own old session override.
Do this:
1. Check what the default is:
openclaw models status --plain
2. Force the default to the new model:
openclaw models set provider/model-name
Use the exact model ref you added.
3. Restart:
openclaw gateway restart
4. Now check this Discord thread/session:
/model status
If that still shows the old model, set this thread too:
/model provider/model-name
If it still refuses to change, paste the output of:
openclaw --version
openclaw models status
and the result of:
/model status
Redact any keys/tokens.
How do I exit chat terminal
Press:
Ctrl+C
If that doesnât exit, try:
Ctrl+D
or type:
/exit
Then youâll be back at your normal terminal prompt.
If itâs stuck in chat terminal / hatch, thatâs safe to exit.
Try in order:
1. Press Enter once
2. Press:
Ctrl+C
3. If still stuck, press:
Ctrl+\
4. If that still doesnât work, close that terminal window and open a new one.
Then in the new terminal run:
openclaw status
If OpenClaw looks weird after that:
openclaw gateway restart
Donât choose reset or wipe anything.
No worries â donât reset anything.
Try this order:
1. Click inside the stuck terminal and press:
Ctrl+C
2. If that fails:
Ctrl+\
3. If it still wonât close, force-close the terminal app:
- Mac:
Cmd+Q, or Apple menu â Force Quit â Terminal
- Windows:
Ctrl+Shift+Escâ Task Manager â end Terminal/PowerShell - Linux: close the terminal window, or use your system monitor
Then open a fresh terminal and run:
openclaw status
If needed after that:
openclaw gateway restart
How do I check my model allow list
Run this in terminal:
openclaw config get agents.defaults.models
That shows your model allowlist.
For a cleaner full model check, also run:
openclaw models status
If the allowlist is empty/missing, OpenClaw may use the broader configured/catalog models instead.
To see what Discord can pick from, type here:
/model list
or:
/models
Ok it lists 3 how do I make sure codex is the main
Set the Codex model as the primary/default.
1. Copy the exact Codex ref from your list
It should look like:
openai-codex/...
2. Run:
openclaw models set openai-codex/your-model-name
3. Confirm:
openclaw models status --plain
It should print the Codex model.
4. Restart:
openclaw gateway restart
5. If this Discord thread still shows the old model, type here:
/model openai-codex/your-model-name
Then check:
/model status
No it does not
Got it â then force it directly in config.
1. Copy the exact Codex model from your allowlist.
2. Run this, replacing the model name:
openclaw config set agents.defaults.model '{"primary":"openai-codex/your-model-name"}' --strict-json
3. Check it:
openclaw config get agents.defaults.model
openclaw models status --plain
4. Restart:
openclaw gateway restart
5. For this Discord thread, set it too:
/model openai-codex/your-model-name
If that still shows old, paste the output of:
openclaw config get agents.defaults.models
openclaw config get agents.defaults.model
openclaw models status
Redact tokens only.
How do I select it to primary
Do this:
1. Show your allowlist:
openclaw config get agents.defaults.models
2. Copy the exact Codex model name from that output. It should be like:
openai-codex/...
3. Set it as primary:
openclaw models set openai-codex/your-model-name
4. Check it saved:
openclaw models status --plain
5. Restart OpenClaw:
openclaw gateway restart
If step 3 doesnât change it, force primary directly:
openclaw config set agents.defaults.model '{"primary":"openai-codex/your-model-name"}' --strict-json
openclaw gateway restart
Canât I do it in the config file
Yes. You can edit the config file directly.
1. Find the config file:
openclaw config file
2. Open that file in your editor.
3. Find this area:
agents: {
defaults: {
4. Set the primary model like this:
agents: {
defaults: {
model: {
primary: "openai-codex/your-model-name",
},
},
}
If you already have model: there, replace just that part.
5. Make sure the same model is also in the allowlist:
models: {
"openai-codex/your-model-name": {},
}
inside:
agents: {
defaults: {
models: {
"openai-codex/your-model-name": {},
},
},
}
6. Save the file.
7. Validate it:
openclaw config validate
8. Restart:
openclaw gateway restart
If you paste the agents.defaults section with tokens removed, I can point to the exact line.
How do I get the file to edit
Run this:
openclaw config file
It will print the path to your config file, usually something like:
/home/you/.openclaw/openclaw.json
Then open it with an editor.
If youâre on Mac/Linux:
nano "$(openclaw config file)"
Save in nano with:
Ctrl+O
Enter
Ctrl+X
If youâre on Windows/WSL:
notepad "$(openclaw config file)"
After editing, run:
openclaw config validate
openclaw gateway restart
Ok in that file codex is primary
Good â then the config default is probably correct. If it still says the old model, itâs likely one of these:
- Gateway hasnât restarted
- This Discord thread has a session override
- A different agent/per-agent config is overriding the default
Do this:
1. Validate + restart
openclaw config validate
openclaw gateway restart
2. Confirm terminal sees Codex
openclaw models status --plain
3. In this Discord thread, check session override
/model status
If it shows old model, set this thread manually:
/model openai-codex/your-model-name
4. If it still shows old, check per-agent overrides:
openclaw config get agents.list
Look for any model: under an agent. That can override agents.defaults.model.
I am using a different model for WhatsApp but I want use the same model as my main
Yes â WhatsApp is probably routed to a different agent with its own model.
Do this:
1. Check your main model
openclaw models status --plain
Copy the model it prints.
2. Check which agent WhatsApp uses
openclaw agents list --bindings
Look for the WhatsApp binding and note the agentId.
3. Check agent overrides
openclaw config get agents.list
Find that WhatsApp agent. If it has a model: line, that overrides your main/default model.
4. To make WhatsApp use the main model:
Open config:
nano "$(openclaw config file)"
Find the WhatsApp agent under agents.list, then either:
- remove its
model:entry so it inheritsagents.defaults.model, or
- set it to the same model as main.
5. Save, validate, restart
openclaw config validate
openclaw gateway restart
Also in your WhatsApp chat, send:
/model status
If it still shows the old model, send:
/model your-main-model
Agents:
- main (default)
Identity: đ§ AI DJ (IDENTITY.md)
Workspace: ~/.openclaw/workspace
Agent dir: ~/.openclaw/agents/main/agent
Model: openai/gpt-5.1
Routing rules: 0
Routing: default (no explicit rules)
Providers:- WhatsApp default: linked
Routing rules map channel/account/peer to an agent. Use --bindings for full rules.
Channel status reflects local config/creds. For live health: openclaw channels status --probe.
root@OpenClaw:~#
- WhatsApp default: linked
That output means WhatsApp is already routed to main. There is no separate WhatsApp agent.
So if WhatsApp still shows a different model, itâs almost certainly a WhatsApp session override.
In your WhatsApp chat, send:
/model status
If it shows the wrong model, send:
/model openai/gpt-5.1
Then check again:
/model status
If your real âmainâ model is supposed to be Codex, then this output shows it is not Codex right now â it says:
Model: openai/gpt-5.1
So either set Codex as main, or set WhatsApp to openai/gpt-5.1 to match what main currently is.
What model is WhatsApp using
From the output you pasted: WhatsApp is routed to main, and main is using:
openai/gpt-5.1
So WhatsApp should be using openai/gpt-5.1 by default.
To confirm inside WhatsApp, send this to your bot in WhatsApp:
/model status
That will show if the WhatsApp session has an override.
With the slash
Yes â send it exactly like this in WhatsApp:
/model status
It needs the slash at the start.
If it shows the wrong one, send:
/model openai/gpt-5.1
Itâs not even working again
Ugh, okay â letâs stop chasing model settings and check whether WhatsApp is actually connected.
Run these on the server:
openclaw status
openclaw channels status --probe
openclaw gateway status
Then restart once:
openclaw gateway restart
Wait ~20 seconds, then run:
openclaw channels status --probe
If WhatsApp still doesnât reply, check logs:
openclaw logs --follow
Then send a WhatsApp message to the bot and watch for errors.
Paste the output of:
openclaw --version
openclaw channels status --probe
Redact tokens/phone numbers if they show.
WhatsApp default: enabled, configured, linked, stopped, disconnected, dm:allowlist, allow:
Tip: status --deep adds gateway health probes to status output (requires a reachable gateway).
root@OpenClaw:~#
That line explains it:
linked, stopped, disconnected
So the WhatsApp account exists, but the WhatsApp listener is not running/connected.
Do this:
1. Restart the gateway
openclaw gateway restart
2. Wait 20â30 seconds
3. Check again
openclaw channels status --probe
You want WhatsApp to say something like running/connected.
If it still says stopped/disconnected, run:
openclaw logs --follow
Then send a WhatsApp message to the bot and watch the logs. Paste the WhatsApp-related error here.
Also check:
openclaw doctor
Likely issue is the gateway didnât start the WhatsApp plugin/listener after the config changes.
Ok itâs connected now
Nice, good â that was the blocker đ
Now test WhatsApp directly:
/model status
If it shows the wrong model, send:
/model openai/gpt-5.1
Then send a normal test message like:
hello
If it replies, youâre back in business. If this fully fixed it, please right-click the solution message â Apps â â Mark Solution so Answer Overflow indexes it for future users.
But I just sent WhatsApp a message and itâs not replying
The clue is your earlier status showed:
dm:allowlist, allow:
That means WhatsApp DMs are in allowlist mode, but the allowlist looks empty. So it may receive the message but refuse to answer.
Do this:
1. Add your WhatsApp number to the allowlist
Use your real number in international format:
openclaw config set channels.whatsapp.allowFrom '["+1234567890"]' --strict-json
2. Validate
openclaw config validate
3. Restart
openclaw gateway restart
4. Check
openclaw channels status --probe
Then send WhatsApp a normal message again.
If it still doesnât reply, run this and send another WhatsApp message while watching:
openclaw logs --follow
Also please paste:
openclaw --version
Itâs not empty I did not want to put my number here
Totally fair â donât paste your number here. I shouldnât have implied you needed to.
Since itâs connected and allowlist is configured, check whether OpenClaw is seeing the inbound WhatsApp message:
openclaw logs --follow
Then send one WhatsApp message. Look for either:
- blocked / unauthorized / allowlist
- model/auth error
- no inbound log at all
Also run:
openclaw channels status --probe
openclaw status --deep
If you paste logs, redact phone numbers/tokens. The key thing is the error wording around the WhatsApp message.
Tip: status --deep adds gateway health probes to status output (requires a reachable gateway).
root@
â
Gateway reachable.
- WhatsApp default: enabled, configured, linked, running, disconnected, in:3m ago, dm:allowlist, allow:error:status=408 Request Time-out Connection was lost
Tip: status --deep adds gateway health probes to status output (requires a reachable gateway).
root@OpenClaw:~#
Thatâs not a model problem now â WhatsApp is still not fully connected:
running, disconnected
allow:error:status=408 Request Time-out Connection was lost
Do this next:
1. Restart and wait
openclaw gateway restart
Wait 60 seconds, then:
openclaw channels status --probe
2. If it still says disconnected, re-link WhatsApp
openclaw channels login --channel whatsapp --account default
Scan the QR if it gives you one.
3. Restart again
openclaw gateway restart
4. Check
openclaw channels status --probe
You want it to say running, connected.
If it keeps showing 408 Request Time-out, check logs:
openclaw logs --follow
A 408 often means the WhatsApp Web connection dropped/timed out â sometimes proxy/network/VPS related. Docs: https://docs.openclaw.ai/channels/troubleshooting
Still says disconnected
Okay â then do the re-link step now.
1. First check version:
openclaw --version
2. Re-link WhatsApp:
openclaw channels login --channel whatsapp --account default
Scan the QR if it shows one.
3. Restart gateway:
openclaw gateway restart
4. Wait 60 seconds, then check:
openclaw channels status --probe
You want WhatsApp to say running, connected.
If it still says disconnected, run:
openclaw logs --follow
Then paste the WhatsApp error lines here â redact phone numbers/tokens. This is likely a WhatsApp Web session/network timeout now, not the model.
Openclaw 5.5 good for coding
If you mean GPT/OpenAI 5.5, yes â it should be strong for coding.
But I donât want to give stale model rankings here. For current âbest coding modelâ advice, check #models â people there have fresher hands-on results.
Docs for model setup: https://docs.openclaw.ai/concepts/models
WhatsApp looks like it wants to talk then stops
That sounds like OpenClaw is receiving the WhatsApp message and starting a run, then failing during model/auth or send-back.
Run this and watch while you send one WhatsApp message:
openclaw logs --follow
Then paste the error lines around that message â redact phone numbers/tokens.
Also run:
openclaw status --deep
openclaw models status
openclaw channels status --probe
Common causes at this stage:
- WhatsApp transport keeps disconnecting
- sender is blocked by allowlist/pairing
- model auth fails after the message is accepted
- selected model is not allowed / not reachable
- outbound WhatsApp send fails
The logs will tell us which one.
Gateway keeps timing out
Okay â pause the WhatsApp testing for a sec. Letâs diagnose the gateway itself.
Run these in a fresh terminal:
openclaw --version
openclaw gateway status
openclaw status --all
Then restart cleanly:
openclaw gateway restart
Wait 60 seconds, then:
openclaw status --deep
openclaw channels status --probe
If it still times out, watch logs:
openclaw logs --follow
Then send one WhatsApp message and copy only the error lines around it.
Do not reset/reinstall yet. This sounds like either:
- gateway is hanging/crashing,
- WhatsApp Web transport is timing out,
- or the model run starts then fails.
Paste openclaw --version, gateway status, and the timeout/error line â redact phone numbers/tokens.
No something went wrong while processing your request
That message means WhatsApp is reaching OpenClaw, but the agent run is failing after the message is accepted. So donât relink again yet.
Run:
openclaw --version
openclaw models status
openclaw channels status --probe
Then watch logs:
openclaw logs --follow
While logs are open, send one WhatsApp message. Look for the first error after that.
Most likely causes now:
- model auth failed
openai/gpt-5.1is not allowed/reachable- session has old model override
- outbound WhatsApp send failed
If you want to test model auth directly, run:
openclaw models status --probe
That may make a small live provider request.
Paste the error lines from logs here, but redact phone numbers/tokens/API keys.
It seams I have things up and running again last thing I want to use different models for different things how do I configure or do I just tell my bot through WhatsApp basically I want to use a cheap but good model as a dj customer assistant then when I want to program things a good model that can debug run script and code I want tho set up to be cost effective as at the moment I am spending too much a month
Nice â glad itâs mostly back up.
For what you want, Iâd do both:
Simple setup: one bot, switch models when needed
Set your cheap model as the default/main for WhatsApp customer-assistant work.
Then when you want coding/debugging, send in WhatsApp:
/model
or:
/model provider/coding-model
When done coding, switch back:
/model provider/cheap-model
This is easiest, but you have to remember to switch back.
Better cost-control setup: separate agents
Recommended:
- main / WhatsApp DJ assistant â cheap-but-good model
- coding agent â stronger coding model, used only when programming
Steps:
openclaw agents add coding
Then configure that agent with the stronger model, and keep main on the cheaper model.
Check routing:
openclaw agents list --bindings
If you want WhatsApp to stay cheap, leave WhatsApp routed to main.
Use the coding agent through another surface like terminal/chat, Control UI, Telegram, or a separate Discord thread so it doesnât burn expensive tokens for customer chat.
Key idea
Donât use your best coding model as the everyday WhatsApp assistant. Make the cheap model default, and only switch/escalate when youâre doing code.
For current âbest cheap modelâ recommendations, ask in #models â model pricing/performance changes too fast for me to confidently rank them here.
Docs:
https://docs.openclaw.ai/concepts/models
https://docs.openclaw.ai/concepts/multi-agent
I am not going to rennet to switch back and the customer service agent will be used by the public as well so how can I config
Donât rely on remembering to switch. Configure separate agents.
Recommended setup:
- customer agent â cheap model, public-safe, limited tools
- coding agent â expensive/strong coding model, only you use it
Since your WhatsApp is public/customer-facing, keep WhatsApp routed to the cheap customer agent.
Example config shape in openclaw.json:
{
agents: {
defaults: {
models: {
"provider/cheap-model": {},
"provider/coding-model": {},
},
},
list: [
{
id: "customer",
name: "DJ Customer Assistant",
workspace: "~/.openclaw/workspace-customer",
model: "provider/cheap-model",
tools: {
deny: ["exec", "write", "edit", "apply_patch", "browser", "message"]
}
},
{
id: "coding",
name: "Coding Assistant",
workspace: "~/.openclaw/workspace-coding",
model: "provider/coding-model"
}
]
},
bindings: [
{ agentId: "customer", match: { channel: "whatsapp" } }
]
}
Important: for public WhatsApp, also make sure only you can run slash/model commands, otherwise customers may be able to change behavior. Set command access for just your number, not the public.
Then:
openclaw config validate
openclaw gateway restart
openclaw agents list --bindings
Use the coding agent from Control UI / terminal / another private channel, not the public WhatsApp.
Docs: https://docs.openclaw.ai/concepts/multi-agent https://docs.openclaw.ai/channels/channel-routing
No I mean is there a way that when it is a simple question it routes to one model then when it has to do with coding it roots to another
Short answer: not automatically by âsimple vs codingâ from the same chat, at least not as a simple config switch.
OpenClaw routing is mostly based on channel/account/thread/peer â agent, not message meaning.
Best safe setup:
-
WhatsApp public customer bot
- cheap model
- limited/no dangerous tools
- no public
/modelswitching
-
Private coding agent
- strong coding model
- exec/scripts/debug tools enabled
- use from Control UI, terminal, Discord private thread, Telegram, etc.
So your config should route WhatsApp â customer agent always. Then use a separate private coding route when you want coding.
Do not rely on fallbacks for this â fallbacks are for model failure, not âhard question detected.â
If you really want automatic content-based routing, that would need a custom workflow/plugin/agent instruction, but I wouldnât put that on public WhatsApp because customers could accidentally or intentionally trigger the expensive coding model.
No only I have access to WhatsApp
Ah, got it â if only you use WhatsApp, then you can make this much simpler.
Best practical setup:
- Set cheap model as the default for WhatsApp everyday questions.
- When you want coding, explicitly start a coding session/agent from WhatsApp.
Automatic âdetect coding â route to coding modelâ isnât really the normal routing model. But you can make it easy by creating a coding agent and using it intentionally.
Config idea:
agents: {
list: [
{
id: "main",
name: "Everyday DJ Assistant",
model: "provider/cheap-model",
workspace: "~/.openclaw/workspace",
},
{
id: "coding",
name: "Coding Assistant",
model: "provider/coding-model",
workspace: "~/.openclaw/workspace-coding",
},
],
}
Then keep WhatsApp routed to main.
When you need coding, use a clear command/pattern like:
/focus coding
or use a separate private thread/channel bound to the coding agent, depending on how your setup is configured.
If you want one-command switching inside WhatsApp, /model provider/coding-model works â but that changes the session until switched back, so Iâd prefer a separate coding agent/session if cost matters.
Ok I want to use a basic customer service agent when people ask questions on discord but I will only be asking complex questions via WhatsApp
Yes â thatâs the right split.
Set it up like this:
- Discord â customer agent â cheap/basic model
- WhatsApp â main/coding agent â stronger model
In openclaw.json, you want something like:
agents: {
list: [
{
id: "main",
default: true,
name: "Main / Coding",
model: "provider/strong-coding-model",
workspace: "~/.openclaw/workspace",
},
{
id: "customer",
name: "Customer Service",
model: "provider/cheap-customer-model",
workspace: "~/.openclaw/workspace-customer",
tools: {
deny: ["exec", "write", "edit", "apply_patch", "browser"]
}
},
],
},
bindings: [
{ agentId: "customer", match: { channel: "discord" } },
{ agentId: "main", match: { channel: "whatsapp" } },
]
Then run:
openclaw config validate
openclaw gateway restart
openclaw agents list --bindings
Important: if Discord is public/customer-facing, keep dangerous tools off for that agent and donât let public users run /model or config commands.
What was the switch method you told me about
The switch method was the /model command.
In the chat where you want to change model, send:
/model status
to see current model.
Then switch with:
/model provider/model-name
Example:
/model openai/gpt-5.1
To see available models:
/model list
Important: this changes the current session/chat until you switch again. For your use case, better is still:
- Discord â cheap customer agent via config bindings
- WhatsApp â strong/main agent via config bindings
Then you donât need to remember to switch.
Can I tell my bot via WhatsApp to use different models like in discord
Yes â if slash commands are enabled for WhatsApp and your sender is authorized, you can use the same text commands.
In WhatsApp send:
/model status
List options:
/model list
Switch model:
/model provider/model-name
Example:
/model openai/gpt-5.1
But remember: it changes that WhatsApp session until you switch again. For your Discord customer service vs WhatsApp coding split, config bindings are safer/cheaper.
What are config bindings
Config bindings are routing rules in openclaw.json.
They tell OpenClaw:
âMessages from this channel/account/thread should go to this agent.â
Example:
bindings: [
{ agentId: "customer", match: { channel: "discord" } },
{ agentId: "main", match: { channel: "whatsapp" } },
]
That means:
- Discord messages use the
customeragent/model - WhatsApp messages use the
mainagent/model
So instead of manually switching models, OpenClaw automatically picks the right agent based on where the message came from.
Check your current bindings with:
openclaw agents list --bindings
I only have one agent
Right â with one agent, bindings wonât help much because every channel goes to the same agent/model.
You have two choices:
Option A â keep one agent, switch manually
Use in WhatsApp/Discord:
/model list
/model provider/model-name
Simple, but you have to remember.
Option B â add a second agent
This is what you want for automatic Discord vs WhatsApp model split.
Run:
openclaw agents add customer
Set customer to your cheap customer-service model.
Then route Discord to customer, and keep WhatsApp on main.
Your config ends up like:
bindings: [
{ agentId: "customer", match: { channel: "discord" } },
{ agentId: "main", match: { channel: "whatsapp" } },
]
Then:
openclaw config validate
openclaw gateway restart
openclaw agents list --bindings
For your goal, Iâd choose Option B.
I is 5.1 exspensive
Yes â GPTâ5.1 is relatively expensive for everyday customer-service chat, especially because output tokens cost much more than input tokens.
Official OpenAI pricing shows GPTâ5.1 / GPTâ5 pricing at about $1.25 per 1M input tokens and $10.00 per 1M output tokens. OpenAI also says GPTâ5.1 pricing/rate limits are the same as GPTâ5. (developers.openai.com)
So Iâd use it like this:
- Discord customer service: cheaper model
- WhatsApp private coding/debugging: GPTâ5.1 / stronger model
Donât use 5.1 as the default public customer-service model if youâre trying to reduce monthly spend. For current cheap model recommendations, ask in #models.
I told my my WhatsApp channel gone down again I asked the bot to do something a bit complex and it has not replied me in like an hour but I can see he has configured some of what I asked
Sounds like the agent run got stuck, not necessarily that WhatsApp is broken.
Do this:
1. Check current state
openclaw --version
openclaw status
openclaw channels status --probe
2. If it shows an active/stuck run, try stopping from WhatsApp:
/stop
3. If WhatsApp wonât respond, restart the gateway:
openclaw gateway restart
4. Wait 30â60 seconds, then check:
openclaw channels status --probe
5. If it still doesnât reply, watch logs while sending one WhatsApp message:
openclaw logs --follow
Since it configured some of what you asked, donât reset anything. The likely issue is the complex task hung, hit model/tool failure, or failed sending the final reply. Paste the error lines from logs, with phone numbers/tokens redacted.
Now it has come online briefly looks like it is talking but fails to say anything
That âcomes online / looks like typing / then says nothingâ usually means:
- WhatsApp received the message â
- OpenClaw started processing â
- then either the agent run failed or the final WhatsApp send failed â
Run this:
openclaw status --deep
openclaw channels status --probe
openclaw models status
Then open logs:
openclaw logs --follow
While logs are open, send one simple WhatsApp message like:
test
Look for the first error after that.
If itâs been stuck for an hour, also try:
/stop
in WhatsApp. If that doesnât work:
openclaw gateway restart
Then test again with a simple message.
Paste the error lines from openclaw logs --follow â redact phone numbers/tokens. The log will tell us whether itâs model failure, stuck run, or WhatsApp send failure.
How do I set up a second agent
Yep â set up a second agent like this.
1. Pick the cheap/customer model ref first
openclaw models list
Copy the exact model name, like:
provider/cheap-model
2. Add a customer agent
openclaw agents add customer --workspace ~/.openclaw/workspace-customer --model provider/cheap-model --bind discord --non-interactive
Replace provider/cheap-model with your real cheap model.
3. Make sure WhatsApp stays on main
openclaw agents bind --agent main --bind whatsapp
4. Check routing
openclaw agents list --bindings
You want:
Discord -> customer
WhatsApp -> main
5. Restart
openclaw config validate
openclaw gateway restart
6. Check models per agent
openclaw models status --agent customer
openclaw models status --agent main
For the customer agent, also edit:
nano ~/.openclaw/workspace-customer/AGENTS.md
and tell it: answer customer/DJ booking questions, donât code, donât run scripts, keep replies short.
Can I do this via WhatsApp
Sort of, but I wouldnât recommend doing the setup itself via WhatsApp.
Adding agents/bindings is config/admin work, so do it in terminal where you can validate and restart safely.
Use terminal for this:
openclaw agents add customer --workspace ~/.openclaw/workspace-customer --model provider/cheap-model --bind discord --non-interactive
openclaw agents bind --agent main --bind whatsapp
openclaw config validate
openclaw gateway restart
Then you can use the agents from WhatsApp/Discord after that.
You can ask your bot in WhatsApp to help guide you, but Iâd avoid letting it modify config while your WhatsApp channel has already been flaky. Terminal is safer.
WhatsApp not responding is there a way the agent can fix and debug itself so I can make things stable