#let claw create his own accounts

39 messages ¡ Page 1 of 1 (latest)

brisk dome
#

I told my clanker right now to create an account on any third party site as it has his own gmail acc. It told me that the vps is blocked (SSRF policy) would a headless browser or anything help?

Any recommendations? I mean, its something that my claw should be able to handle right?

azure copperBOT
#

Short answer, yes for some sites, but not reliably for arbitrary signups.

A few important bits:

  • Giving it its own Gmail/account is the right pattern. The docs recommend separate accounts for bot autonomy.
  • A headless browser can help with public-site forms and logins.
  • But headless does not bypass SSRF. SSRF is a safety policy. In OpenClaw, browser navigation is strict by default for private/internal targets, and that can also affect remote CDP/browser endpoints.

So if it says SSRF policy blocked, then one of these is probably true:

  1. it is trying to reach a private/internal host somewhere in the flow
  2. it is attaching to a browser/CDP endpoint on localhost, 127.0.0.1, or a private IP from the VPS
  3. the site flow redirected somewhere weird

My recommendation:

  • For simple public signup flows: use the managed browser on the VPS, headless is fine.
#
  • For real-world signup flows: pair a desktop/node and use a visible browser there. CAPTCHAs, email verification, and anti-bot stuff are way less painful than pure headless VPS automation.
  • Do not expect random third-party account creation to be fully unattended. Lots of sites actively fight this.

Can you paste these?

openclaw --version
openclaw browser status

and the exact SSRF error text.

If the target is public, it probably means the browser setup/profile endpoint is what’s being blocked, not the signup site itself.

Docs:

brisk dome
#

maybe another thing before that, ( maybe another model can help as well ).

I now setted up codex oauth but it tells me that only gpt 5.4 can be used? But I would like to use 5.4 mini for example.

Even in the dropdown in openclaw chat there is only listed 5.4 and 5.4 (default) so just that one model.

I run chatgpt plus in case it does matter

azure copperBOT
#

Another model might help with behavior, but it won’t fix the SSRF block. That part is browser/network policy, not the LLM.

On the Codex side, what you’re seeing makes sense:

  • ChatGPT Plus does not unlock the direct openai/* API route in OpenClaw.
  • Codex sign-in uses the separate openai-codex/* route.
  • The dropdown only shows what OpenClaw currently discovers and what your config allows.

So if you only see one Codex model, the usual suspects are:

  1. older OpenClaw version
  2. agents.defaults.models is acting as an allowlist
  3. stale models.providers.openai-codex config is shadowing the built-in Codex provider
  4. your current Codex OAuth catalog is only exposing that one entry

Can you paste these?

# 
openclaw --version
openclaw models status
openclaw models list --provider openai-codex

If that list still only shows one model, I’d next check for:

  • agents.defaults.models
  • models.providers.openai-codex

One useful detail, recent builds do have support for the mini ref on the Codex route, so if it’s missing I’d suspect version / allowlist / stale override, not “ChatGPT Plus is wrong”.

Docs:

#

Also, for freshest “who sees which Codex models right now”, ask in #models. That changes fast.

brisk dome
#

I checked the config and found that agents.defaults.models was indeed acting as an allowlist.
It only had openai-codex/gpt-5.4, so I added openai-codex/gpt-5.4-mini there.

After that, openai-codex/gpt-5.4-mini is still rejected by OpenClaw as not allowed.

So it looks like the allowlist was one issue, but not the whole issue.
I also checked and there is no stale models.providers.openai-codex override shadowing the built-in provider.
Version is OpenClaw 2026.4.12. OAuth login succeeded and openai-codex/gpt-5.4 works.

At this point it seems the Codex catalog for this account/build is still only exposing gpt-5.4, not gpt-5.4-mini.
Any idea how to force-refresh or inspect the discovered Codex model catalog?

azure copperBOT
#

Nice catch, I think you’re past normal config trouble and into version-specific behavior / a likely bug.

A couple useful facts:

  • There does not seem to be a dedicated “refresh Codex catalog” command.
  • The model catalog is cached in-process, so the practical refresh is the gateway process restarting, not just reopening chat/UI.
  • For inspection, the best read-only view is:
openclaw models list --provider openai-codex --all --json
openclaw models status --probe --probe-provider openai-codex

Why I think this is a bug-ish case:

  • In current source, OpenClaw has forward-compat handling for configured Codex refs like openai-codex/gpt-5.4-mini, even when discovery is sparse.
  • So if you added it to agents.defaults.models and it still says not allowed, that points more to:
#
  • stale gateway/catalog state, or
    • a fix that landed after 2026.4.12

So my recommendation is:

  1. inspect with models list --provider openai-codex --all --json
  2. make sure you’re testing against a freshly restarted gateway
  3. if it still rejects the model on 2026.4.12, file a bug with:
    • openclaw --version
    • openclaw models list --provider openai-codex --all --json
    • the exact “not allowed” error
    • confirmation that agents.defaults.models includes the ref

Bug tracker:
https://github.com/openclaw/openclaw/issues

Docs:

brisk dome
#

openclaw models list --provider openai-codex --all --json
{
"count": 6,
"models": [
{
"key": "openai-codex/gpt-5.1",
"name": "GPT-5.1",
"input": "text+image",
"contextWindow": 272000,
"local": false,
"available": true,
"tags": [],
"missing": false
},
{
"key": "openai-codex/gpt-5.1-codex-max",
"name": "GPT-5.1 Codex Max",
"input": "text+image",
"contextWindow": 272000,
"local": false,
"available": true,
"tags": [],
"missing": false
},
{
"key": "openai-codex/gpt-5.2-codex",
"name": "GPT-5.2 Codex",
"input": "text+image",
"contextWindow": 272000,
"local": false,
"available": true,
"tags": [],
"missing": false
},
{
"key": "openai-codex/gpt-5.3-codex-spark",
"name": "GPT-5.3 Codex Spark",
"input": "text",
"contextWindow": 128000,
"local": false,
"available": true,
"tags": [],
"missing": false
},
{
"key": "openai-codex/gpt-5.4",
"name": "GPT-5.4",
"input": "text+image",
"contextWindow": 272000,
"local": false,
"available": true,
"tags": [
"default",
"configured"
],
"missing": false
},
{
"key": "openai-codex/gpt-5.4-mini",
"name": "GPT-5.4 Mini",
"input": "text+image",
"contextWindow": 272000,
"local": false,
"available": true,
"tags": [
"configured"
],
"missing": false
}
]
}
is that correct like that or do you need something else? maybe I got it running now can I check anyways whcih model was used for the las requests / responses, so it tells mini but not sure if its just assumes that it is or is just a name that was set

azure copperBOT
#

Yep, that output looks good.

The important bits are:

  • the mini row exists
  • available: true
  • missing: false
  • it has the configured tag

So OpenClaw is seeing it as a real available model now, not just a fake label from config.

To check what was actually used for the last/session replies, use:

/status
#

That’s the best one for this. Per docs, /status shows the current session model, and if the active runtime model differs from the selected one, it shows that drift/fallback too.

A good verification flow is:

  1. switch to mini
  2. send one fresh prompt
  3. run /status

A couple notes:

  • /model status is more about selection/auth/endpoints
  • /status is better for what this session is actually running
  • if you switched while a run was already active, the new model can be pending until the next clean turn

So if /status after a fresh prompt shows mini, you’re good.

Docs:

brisk dome
#

🦞 OpenClaw 2026.4.12 (1c0672b)
🧠 Model: openai-codex/gpt-5.4-mini · 🔑 oauth (openai-codex:mustermann (mustermann))
🧮 Tokens: 152k in / 111 out
🗄️ Cache: 95% hit · 20.9m cached, 866k new
📚 Context: 152k/200k (76%) · 🧹 Compactions: 0
📊 Usage: 5h 72% left ⏱4h 29m · Week 53% left ⏱1d 23h
🧵 Session: agent:main:main • updated just now
⚙️ Runtime: direct · Think: low · Text: low
🪢 Queue: collect (depth 0)

it useses a lot of context right? if it exceeds does it compact / reset automatically and are there any tipps to do that autoamtically before?

azure copperBOT
#

Yep, 76% is fairly chunky, but it’s not “oh no” yet.

Short version:

  • No, it does not auto-reset.
  • Yes, it auto-compacts by default.
  • If it actually overflows, OpenClaw will usually compact and retry automatically.

A useful mental model:

  • at 152k / 200k, you’re getting into “watch it” territory
  • auto-compaction usually kicks in when the session gets close enough to the limit that OpenClaw wants to keep headroom for the next turn
  • big tool output is usually what blows context up fastest, not normal chat

If you want it to behave better before it gets ugly:

  1. Enable/tune session pruning
#

This trims old tool results from the in-memory prompt and helps a lot.
Docs: https://docs.openclaw.ai/concepts/session-pruning

  1. Keep threads/topic scope tighter
    If a thread changes subject a lot, use /new sooner.

  2. Manual preemptive compaction
    Use /compact when a thread gets long but you still want continuity.

  3. If you want earlier compaction/headroom, look at compaction settings, especially:

    • agents.defaults.compaction.reserveTokensFloor
    • agents.defaults.compaction.memoryFlush.*
    • optional notifyUser: true

Also nice: before auto-compaction, OpenClaw can do a silent memory flush so important stuff gets written out first.

Docs:

brisk dome
#

and this status model would never fool me? or could that be another model what was naed like this?

azure copperBOT
#

I wouldn’t say never, but for your case I’d trust it pretty strongly.

Why:

  • /status is not just a cosmetic label
  • it uses the session’s selected model, and it can also recover the active runtime model from usage/transcript data
  • if the runtime had actually fallen back to something else, /status is designed to show that difference

So for a built-in route like:

  • openai-codex/...
  • with oauth (...)
  • and your models list also showing that mini entry as available: true

that’s very unlikely to be some random other model merely named like that.

The realistic caveats are:

#
  1. right during/after a live model switch, status can momentarily reflect pending/stale state
  2. fallback situations, where selected model and active runtime model differ
  3. custom providers/proxies, where an operator could technically label things however they want

But on the normal built-in Codex path, what you showed looks legit. So I’d read that as: yes, your last session turn is on mini.

If you want the paranoid check, the best pattern is still:

  1. switch model
  2. send one fresh prompt
  3. run /status right after

If /status still says mini after that, I’d consider it confirmed enough.

Docs:

brisk dome
#

thank you

I’m running OpenClaw on a VPS and trying to summarize YouTube videos with the youtube-watcher skill.

The problem is that yt-dlp / transcript fetching gets blocked by YouTube from my VPS IP (cloud IP), so the skill keeps failing.

What’s the best free or low-cost way to reliably get YouTube transcripts in OpenClaw?

• Any recommended transcript APIs with a free tier?
• Any proxy / cookie / browser-based workaround that actually works on a VPS?
• How are you handling YouTube summaries in production?

Would love to hear the most practical setup. Thanks!

azure copperBOT
#

Yeah, this is usually not an OpenClaw bug, it’s YouTube distrusting datacenter/VPS IPs.

My practical take:

What actually works

Best low-friction option: use a transcript API, not yt-dlp from the VPS.

Why:

  • headless browser alone usually won’t fix it
  • cookies can help for some cases, but if the IP reputation is the problem, YouTube still blocks you
  • VPS scraping tends to get flaky over time

Good practical setups

1. Easiest / most reliable
Use a transcript API as primary.

#

A couple I found:

  • Supadata: claims 100 free credits/month, then paid
  • TranscriptAPI: claims 100 free starter credits, then about $5/mo for 1k requests

Those are vendor claims, so double-check pricing before wiring it in.

2. Cheapest long-term
Run the fetcher on a home/residential machine instead of the VPS.
That can be:

  • a tiny always-on box at home
  • a node/browser worker on residential IP
  • then let your VPS OpenClaw call that worker

This is usually way more reliable than fighting YouTube from AWS/Hetzner/etc.

3. Fallback path
If captions are unavailable, do:

#
  • fetch audio from a non-blocked environment
  • transcribe with Whisper / Groq / OpenAI / Deepgram

That’s slower, but it’s a good fallback when native captions/transcript APIs fail.

What I would not rely on

  • Headless browser on the same blocked VPS IP
  • random free proxies
  • cookie hacks as the main production path

They can work briefly, but they’re brittle.

My recommendation

For production-ish reliability:

#
  1. Transcript API first
  2. Residential/home worker second
  3. Audio transcription fallback third

That gives you the least pain.

If you want, I can help sketch the cleanest OpenClaw setup for this, for example:

  • API-based youtube-watcher flow
  • or VPS + home node split setup

If you want exact config advice for your install, paste:

openclaw --version

Docs:

brisk dome
#

okay thank you than I think I will go with supadata, can my clanker set up an account there on its own? it has his own gmail acc

azure copperBOT
#

Yes, in principle, yes.

If your clanker has:

  • browser access
  • access to that separate Gmail
  • and the site does not hard-block automation with CAPTCHA / phone verification

then it can usually do most of the signup flow on its own.

The big caveat is: fully autonomous account creation is often flaky, especially on a VPS.

What usually happens:

  • form filling works
  • email verification often works
  • then CAPTCHA / anti-bot / suspicious-IP checks show up and need a human
#

So my honest recommendation is:

Best setup

  • use the browser tool
  • preferably from a local/residential machine, not a cloud VPS
  • give it a dedicated browser profile for that Gmail/account
  • expect human assist for CAPTCHA / OTP / weird consent pages

For Supadata specifically

That kind of signup is probably simple enough that the agent can get pretty far, maybe all the way through if the site is chill.

What I would not expect

I would not assume “agent can always create any third-party account fully unattended.”
That’s still hit-or-miss because of anti-bot systems, not because OpenClaw is bad.

If you want, I can outline the cleanest browser setup for this in OpenClaw, for example:

  • isolated openclaw browser profile
brisk dome
#

thank you, will try it now. what is the best way for my setup to let my claw access reddit? is it possible and good usable?

azure copperBOT
#

Yes, definitely possible, but the best path depends on what you want Reddit for.

Best options

1. Read-only Reddit access, best/easiest
Use:

  • web_search to find threads
  • web_fetch to read them

This is good for:

  • research
  • finding answers
  • summarizing discussions

2. Logged-in / interactive Reddit
Use the browser tool with a dedicated browser profile.

#

This is better if your claw needs to:

  • open threads properly
  • click around
  • log in
  • maybe draft replies/posts

My recommendation for your setup

Since you’re on a VPS, I’d do this:

  • for reading/summarizing Reddit: use search/fetch first
  • for real browsing or login: use a browser on a local/residential machine, not the VPS

Why:

  • Reddit is usually much more usable through a real browser than through scraping
  • VPS/headless setups can still hit anti-bot friction
  • for logged-in use, a local browser profile is much nicer and more stable
#

Is it “good usable”?

  • Read-only summaries/search: yes, very usable
  • fully interactive Reddit on a VPS: possible, but more annoying
  • interactive Reddit via local browser/profile: much better

So the short answer is:

  • Yes, possible
  • Yes, usable
  • Best setup: search/fetch for reading, browser for interactive stuff, ideally not on the VPS for the browser part

If you want, I can give you a simple “Reddit stack” recommendation:

  • minimal setup
  • best setup
  • best fully autonomous setup
brisk dome
#

okay thank you another thing as I now have setted up gpt 5.4 mini through codex oauth. if my weekly limit goes to 0% it will not use more and than bill me extra right? so nothing like extra usage in claude that I have to disable?

azure copperBOT
#

Yes, for Codex OAuth there is not an Anthropic-style “Extra Usage” switch in OpenClaw that you need to disable.

So the normal expectation is:

  • if the Codex OAuth weekly quota hits 0%
  • that route should stop serving requests / rate-limit / quota-error
  • it should not silently keep going and bill extra on that same OAuth route

The one important caveat:

  • if you configured model fallbacks
  • or another paid API-key model/provider
  • OpenClaw can fail over to that and keep replying there

So if you want a true hard stop, make sure you don’t have a paid fallback path configured for that agent/session.

Good checks: