#is this possible to solve this trough telegram commands?

1 messages · Page 1 of 1 (latest)

slate dock
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is it?

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s

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LLM request rejected: messages.7.content.1:
thinking or redacted_thinking blocks in the
latest assistant message cannot be modified.
These blocks must remain as they were in the
original response.
12:50

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@gloomy relic

gloomy relicBOT
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No — my earlier “update from rox” message wasn’t actually based on anything I can see here. I don’t have access to someone else’s machine/chat, so that was wrong on my part.

If your question is “can I fix this purely via Telegram commands?”: only if your Gateway is already running and your Telegram channel is already connected/paired so the agent can execute tooling. If the Gateway is crashing / not starting, you’ll need shell/SSH access on the gateway host to fix it.

For the error you pasted:

LLM request rejected … thinking or redacted_thinking blocks … cannot be modified

That’s a provider-side rejection (commonly Anthropic) when something resends conversation history but changes a previous assistant message that contained thinking blocks. Practical next steps:

  1. Start a fresh session/thread (often the quickest workaround).
  2. Grab diagnostics from the gateway host (this is the “command ladder” from the troubleshooting docs):
    • openclaw --version
    • openclaw status
    • openclaw logs --follow (paste the lines around the rejection)

Docs: https://docs.openclaw.ai/gateway/troubleshooting

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If you paste those outputs, I can tell you whether this is a config/session-store issue vs a provider/model quirk.

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Looks like that “s” might’ve been accidental 🙂

To move this forward, can you paste:

openclaw --version
openclaw status
openclaw gateway status

…and tell me what you’re trying to do via Telegram (restart gateway? fix a config crash? approve pairing?).

slate dock
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i have telegram connected, but the bot is constantly replying this:
:00
LLM request rejected: messages.7.content.1:
thinking or redacted_thinking blocks in the
latest assistant message cannot be modified.
These blocks must remain as they were in the
original response.

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i am not close by my mac mini, so thats why i want to repair it trough telegram

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the gateway is up

gloomy relicBOT
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That error is Anthropic-side, and it means the Gateway is re-sending the chat history but the most recent assistant message’s thinking / redacted_thinking blocks don’t match exactly what Claude originally returned. Anthropic rejects the request when those blocks are changed/stripped.

In practice, this usually happens when:

  • you restart and the session is reloaded but the stored assistant message lost/altered the thinking blocks, or
  • you change thinking settings/model mid-thread, or
  • something tries to “sanitize”/edit the last assistant message before the next call.

Fast workaround

  1. Start a brand new thread/session (don’t continue the broken one).
  2. Disable Claude thinking (so OpenClaw won’t create those blocks in the first place):
openclaw config set agents.defaults.models["anthropic/claude-opus-4-6"].params.thinking "off"
openclaw gateway restart

(If you’re on Sonnet or another Claude model, swap the model key accordingly.)

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Anthropic docs in OpenClaw mention this knob here: https://docs.openclaw.ai/providers/anthropic

To diagnose properly (so we can tell if it’s a known bug/version thing)

Paste:

openclaw --version
openclaw config get agents.defaults.model
openclaw config get agents.defaults.models

Also: if the LLM call is failing like this, you generally can’t “fix it via Telegram commands” unless you still have some other working control path (shell/SSH, Control UI, or another agent that can run exec).

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I’m here.

To fix this, I need two bits of info from the gateway host (terminal/SSH):

openclaw --version
openclaw config get agents.defaults.model

And if you can, also:

openclaw config get agents.defaults.models

If you just want the quickest “make it stop failing” workaround right now: start a new thread/session and disable Claude thinking in config, then restart the gateway:

# 
openclaw config set 'agents.defaults.models["anthropic/claude-opus-4-6"].params.thinking' '"off"' --strict-json
openclaw gateway restart

(If you’re not using claude-opus-4-6, tell me which Anthropic model you’re on and I’ll give the exact key.)

Re: “can I solve it through Telegram commands?” — only if you still have a working path to run those config changes (the gateway + an agent run that can execute). If LLM calls are failing, Telegram usually can’t help because the “brain” can’t produce tool calls; you’ll need shell/SSH or the Control UI to change config and restart.

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That’s almost certainly a single stuck session in your Telegram chat: the last assistant turn in that session contains Anthropic thinking/redacted_thinking blocks, and the gateway is (for whatever reason) re-sending them in a modified form on the next request — Anthropic rejects it, so every new message keeps failing.

Fix from Telegram (no SSH needed) — try this in your Telegram DM

  1. Send /status (standalone)

    • If this works, commands are being parsed correctly.

  2. Send /reset (or /new) as a standalone message

    • This starts a fresh session id for that chat, which should immediately stop the loop.

  3. (Optional but recommended) disable thinking for this session so it can’t happen again:

    • Send /think off (alias: /thinking off) as a standalone message.

Docs for these commands: https://docs.openclaw.ai/tools/slash-commands and session resets: https://docs.openclaw.ai/concepts/session

If /status / /reset don’t work (still goes to the model and errors)

Then commands aren’t being recognized/authorized in that chat. In that case, I’ll need:

  • openclaw --version
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  • and your commands + channels.telegram.commands config (or just paste openclaw config get commands and openclaw config get channels.telegram.commands)

Once I see that, I can tell you exactly what to flip so /reset works and you can recover the session.

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If the Mac mini is up and the Gateway is running, then yes — you can repair this specific problem purely via Telegram, because it’s a “stuck session / thinking-mode history” issue, not something that requires file access.

Do this from Telegram (DM with the bot):

  1. Send /status (standalone)

    • This confirms commands are being parsed (and should reply even if normal LLM calls are failing).

  2. Send /reset (or /new) as a standalone message

    • This creates a fresh session for that chat, which should stop the repeating Anthropic “thinking blocks cannot be modified” rejection.

  3. Then send /think off (standalone)

    • Prevents Claude thinking blocks from reappearing in that session.

If /status doesn’t reply (or /reset still triggers the same LLM rejection), then Telegram can’t fix it because commands aren’t being recognized/authorized in that chat — at that point you’d need remote shell access (SSH/Tailscale) or to get back to the Mac mini.

If you try step 1, paste what /status returns here and I’ll tell you the next move.