#The bot stopped responding in the middle of the chat

1 messages · Page 1 of 1 (latest)

simple tangle
#

HI, I started to get this error " The AI service is temporarily overloaded. Please try again in a moment." when using Gemini API.
I thought that this was because the Gemini was overloaded, so I added the Venice AI key and started to get this error: "Cannot read properties of undefined (reading '0')"

Does anyone else go through this? Please let me know how to resolve this.

PS: when you add new models are you supposed to restart the gateway?

old iglooBOT
#

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

edgy birchBOT
# simple tangle HI, I started to get this error " The AI service is temporarily overloaded. Plea...

Hey! 👋 Let me help you troubleshoot this.

"Cannot read properties of undefined (reading '0')" - This is a JavaScript error that typically means the model configuration is having issues. A few things to check:

  1. Restart the gateway - Yes, definitely restart after adding new models or API keys. That might actually resolve the "undefined" error since it's likely a config loading issue.

  2. Check your model list - Make sure the models you're trying to use are properly defined in your config. If you're using an array for models, verify it's not empty or malformed.

  3. Check the gateway logs for more context on where the error is occurring:

    clawdbot gateway logs
    

    The stack trace should point to the specific line causing the issue.

For the "AI service temporarily overloaded" error:

  • This is usually a rate limit from Google's side
  • Try reducing request frequency or checking your Gemini quota
#
  • Adding Venice AI as a fallback was a good idea, but the undefined error is blocking that from working

Quick restart sequence:

clawdbot gateway stop
clawdbot gateway start

If the error persists after restart, share the relevant log lines and I can help dig deeper! 🦐

Also - what's your moltbot --version? Version mismatches can sometimes cause weird errors too.

simple tangle
edgy birchBOT
edgy birchBOT
# simple tangle Logs:

Found it! Looking at the logs:

  1. First run (007160d1...f3f8): Completed successfully with Venice AI (llama-3.3-70b) - no errors
  2. Second run (e04d0ae9...efc2): This is the one failing with "Cannot read properties of undefined (reading '0')"

The issue is that there's a second, separate trigger happening. See this line:

17:49:36 info web-auto-reply {"module":"web-auto-reply","runId":"e04d0ae9-17d3-4b0f-95ab-c69eb998efc2"} ... auto-reply sent (text)

The web-auto-reply module is kicking in and failing. This is likely because:

  1. You have an auto-reply rule configured
  2. Something in that rule's model/model configuration is broken

Questions to help narrow it down:

#
  1. Do you have any auto-reply rules configured? (Check your config for autoReply or similar)
  2. Are you using any message transformation/response rules?
  3. What's your current config structure? Specifically, do you have models defined as an array, and is it empty/malformed somewhere?

Quick thing to try: Check your ~/.moltbot/config.json5 and verify:

  • models is not empty
  • All model entries have the required fields
  • Any fallback chains are properly structured

Can you share the relevant config sections (models, autoReply if present)? That'll help pinpoint exactly where the [0] access is failing. 🦐

simple tangle
edgy birchBOT
# simple tangle I don't remember configuring any auto-reply rules. I am not a coder(haven't code...

Perfect! The image helps a lot. I can see the model configuration now:

gemini-2.0-flash-exp (primary)
gemini-1.5-pro (fallback)
venice-llama-3.3-70b (fallback)

Found the likely issue! The model name venice-llama-3.3-70b is probably the problem.

When using Venice AI as a fallback, the model names need to be in Venice's format, not "provider-model" format. Venice likely expects just the model ID (like llama-3.3-70b or whatever Venice calls it), not prefixed with "venice-".

To find your config file:

# Check where moltbot looks for config
#
clawdbot gateway config.get

# Or search for config files
find ~ -name "*.json5" -o -name "config*" 2>/dev/null | grep -i molt

# Check the default location
ls -la ~/.moltbot/

Quick fix to try:

When you configured the Venice fallback, you likely used a model name like venice-llama-3.3-70b. Try changing it to just Venice's internal model name (check Venice AI docs for correct model IDs).


Can you run this and share the output?

#
clawdbot gateway config.get | head -100

That will show us exactly how your models are configured so we can fix the format. 🦐

simple tangle
edgy birchBOT
simple tangle
#

clawdbot gateway config.get
error: too many arguments for 'gateway'. Expected 0 arguments but got 1.

#

cat ~/.moltbot/config.json5
cat: /home/molty/.moltbot/config.json5: No such file or directory

edgy birchBOT
simple tangle
#

No no, I am using clawdbot itself.

#

How do I delete pre-configured models? Ideally without wiping out memory from the past

#

I did use this
clawdbot models set google/gemini-2.5-pro
and now I am back to my earlier message:
[clawdbot] ⚠️ Agent failed before reply: The AI service is temporarily overloaded. Please try again in a moment.
Logs: clawdbot logs --follow
I guess this is some progress, haha

edgy birchBOT
# simple tangle I did use this clawdbot models set google/gemini-2.5-pro and now I am back to my...

Progress! 🎉 The "Cannot read properties of undefined" error is gone - that was the config issue.

Now you're seeing the actual error: Google's API is rate-limiting you.

Options to fix this:

  1. Wait it out - Google rate limits usually reset after a minute or two

  2. Check your quota - Visit Google Cloud Console and check your Gemini API quota:

  3. Add Venice AI as a proper fallback (recommended):

    # First, add your Venice API key
    clawdbot configure set apiKeys.venice YOUR_VENICE_KEY
    
#
   
   # Then add a fallback model (use Venice's actual model name)
   clawdbot models add venice-llama-3.3-70b --provider venice

Or configure it manually in your config with the correct Venice model format.

  1. Reduce request frequency - If you're testing rapidly, slow down

Quick question: Did you set up the Venice API key properly? If not, the fallback won't work. The format needs to be correct (Venice's actual model IDs, not "venice-modelname").

Want me to walk you through setting up Venice as a fallback properly? 🦐

simple tangle
#

Hey @edgy birch, the issue is now fixed. I just had to change the Google model from 2.5 pro to 3-flash. It is working, finally 🙂

#

Please tell me how to delete the preconfigured models.

edgy birchBOT
#

That will show you the available commands. Let me know what it outputs! 🦐

simple tangle
#

remove or delete don't work!

molty@srv1301683:~$ clawdbot models delete qwen3-v1-235b-a22b
error: too many arguments for 'models'. Expected 0 arguments but got 2.

sacred moss
#

yoooo did you figure it ut?

edgy birchBOT
# sacred moss yoooo did you figure it ut?

If you’re still stuck, two separate things are going on there:

  1. Gemini “AI service is temporarily overloaded”
  • That’s almost always upstream Gemini returning a transient overload / 5xx. There’s nothing “wrong” with your config if it’s intermittent.
  • Quick sanity check on your side:
openclaw --version
openclaw models status --probe-provider google
openclaw chat --model google/gemini-3-flash-preview "ping"

If the probe/chat shows 5xx/overload, it’s provider-side. Switching to Flash or retrying later is the usual fix.

  1. Venice “Cannot read properties of undefined (reading '0')”
  • That error usually means OpenClaw ended up with a broken/empty model list for that provider (often from a partial manual config edit), or the key isn’t actually visible to the Gateway process.
  • Easiest fix: don’t hand-edit—run the onboard flow so it writes a correct provider block:
#
openclaw onboard --auth-choice venice-api-key
openclaw models list | grep venice
openclaw models status --probe-provider venice
  • Also: if you set VENICE_API_KEY only in your shell, but the Gateway runs as a service, it won’t see new env vars until you restart (or put the key in openclaw.json under env:).

Do you need to restart the Gateway after adding models?

  • Usually no: the Gateway hot-reloads config by default (gateway.reload.mode = "hybrid"), and models changes are dynamically read.
  • You do need a restart if you changed service env vars, or enabled plugins, or if hot-reload is off. When in doubt:
openclaw gateway restart

Docs refs: