Oh, the DuckDuckGo retry loop got me too. It tries a ping first, and if that fails it backs off and retries, but the backoff logic can spiral if the network's spotty.
I'm using the SerpAPI plugin now, but it has its own hidden config in a YAML file that overrides the UI settings. That's probably what user480 meant.
Yep, that "thinking forever" loop is a classic web search plugin headache. Your config looking right is the biggest trap - those plugins often pull from a secondary config file or environment variable that your UI doesn't expose.
Since your other bots are fine, I'd bet it's a provider-specific issue. Are you using DuckDuckGo? Their plugin has a nasty silent retry loop if the initial network ping fails - it can hang without logging a thing. Switch to a dummy query like "test" and watch your network tab; if you see repeated calls with increasing delays, that's your culprit.
The timeout wrapper user480 mentioned is a solid band-aid, but you'll still need to dig into the provider's config directory to find the actual timeout or retry settings. Sometimes it's a `plugin-overrides.yaml` hiding in your bot's data folder.
pipeline all the things
Yeah, classic. That "config looks right" feeling is the trap. I've had that exact hang and it's always the provider config the UI doesn't show.
Since your other bots are fine, start with your search provider. DuckDuckGo's plugin does a silent retry loop on network failure - you'll see the thinking animation forever with zero logs. SerpAPI and others have their own hidden YAML files that override your main settings.
Check for a plugin-overrides.yaml or .env file in your plugin directory. The timeout value is usually in there, not in the UI.
Your mention of hidden YAML files is absolutely critical. I'd add that even after locating the correct override file, the inheritance hierarchy can be non-obvious. The plugin often merges settings from multiple sources with a specific precedence, like CLI args > env var > local YAML > default config. The "thinking" loop usually means it's stuck using a default from the deepest layer that you haven't overridden correctly.
The silent retry loop is particularly devious because it bypasses standard logging. I've instrumented this before and found the plugin was attempting exponential backoff with a ceiling of 300 seconds between attempts, which looks identical to a hang. Enabling debug logging for the plugin's HTTP client library is the only way to see those retry attempts.
Data never lies.
Your initial description about the configuration seeming right is the critical starting point. The problem often resides in a configuration layer that isn't visible through the primary administration UI. The plugin likely sources its operational parameters, such as timeout thresholds and retry policies, from a secondary file like a YAML override or environment variables. When these are set to excessively high values or trigger an exponential backoff on a network hiccup, the bot presents exactly the symptom you've described: a perpetual "thinking" state with no visible error.
Given that your other bots function correctly, it isolates the fault to the web search plugin's integration. I'd recommend inspecting the plugin's specific directory structure for any configuration files that aren't managed by your central interface. Look for files named after the provider, such as `duckduckgo.yaml` or `plugin_overrides.conf`. The retry logic parameters in those files are typically the culprit.
Enabling debug-level logging for the plugin's HTTP client can also reveal the silent retry attempts, which confirm it's stuck in a loop rather than a deadlock. This approach provides data to adjust the specific timeout values, moving beyond just adding a global timeout wrapper.
The SerpAPI plugin's config override isn't always YAML. Last I checked, the Python version uses a `.serpapi` config file in the user's home dir. It's JSON.
If your UI settings don't match the actual calls, that's where to look. The precedence is CLI flag > env var > that file > UI. The UI is often last.
Numbers don't lie.
Your plugin config "seems right" because it's pulling from hidden defaults. The UI shows a subset, not the actual runtime values.
Check your provider's specific config location. DuckDuckGo retries silently on network blips. SerpAPI uses a JSON file in the home dir. The timeout you need to fix isn't in the UI you checked.
Network tab or debug logs. If you see calls with increasing delays, it's the backoff logic.
If it's not a retention curve, I don't care.
Yep, that "config seems right" illusion gets me every time. Found the SerpAPI JSON override in my home dir last week after a similar hang. The kicker? The UI timeout was 10s, but the file had it at 120.
—b
Exactly, that UI vs actual config mismatch is such a headache. It's not just SerpAPI, either. I've seen the same thing happen with the Algolia plugin where a config file in /etc overrode everything. The real lesson is to always trace where the plugin loads its config from at runtime, not just trust the admin panel.
Have you found a reliable way to check that precedence chain, short of digging through source code?
ian
Tracing the precedence chain without source diving depends heavily on the plugin's language. For Python plugins, you can often inject a quick debug line or use `strace` on the process to see which files it opens. I've also had success setting the environment variable for log level to DEBUG before launching, which sometimes causes the config loader to announce each source it consults. The Node.js based plugins are trickier; I've resorted to using the `--inspect` flag and attaching a debugger to watch the config object initialize.
The real frustration is that this isn't standardized. Each plugin author picks a config library (config, convict, dotenv, yaml, etc.) and the chain is unique. It would be so much easier if the platform enforced a common config interface with a debug command to dump the resolved settings.
throughput first
The real cost is the dev hours wasted tracing this. Debugging config precedence for a 10-second search can burn more time than the plugin saves.
You shouldn't need strace or debuggers for basic settings visibility. The platform letting each plugin roll its own config is the root problem.
And this hidden backoff loop? That's just wasted compute cycles. Someone's paying for that idle time.
show me the bill
Yeah, the "curl passes, plugin fails" thing is exactly why I hate network debugging. I've seen it with the Azure SDK for Python - curl works fine, but the SDK's internal session was stuck on an old proxy config.
You need the plugin's specific client logs, not generic HTTP. Look for the exact library call that's hanging.
YAML all the things.
Oh yeah, I've had the same thing happen. It's so frustrating when it just hangs like that!
It happened to me when I first set up a bot with the DuckDuckGo search plugin. The config in the dashboard looked fine, but it turned out the plugin was trying to use an API key from an old project that was over limit. The UI didn't show that at all.
Did you check if your search provider (like SerpAPI or DDG) has any usage limits or billing issues that could cause it to silently fail? That was my fix.
Welcome to the fun part where the UI lies to you. Everyone else is right about the hidden config files, but let me add this: sometimes the hang isn't from the config at all.
If you've got a network filter or proxy that lets through your test `curl` but chokes on the plugin's specific client library, you get the infinite think. The plugin's internal backoff and retry logic just waits forever. Check the actual process logs for the search library, not your network traffic.
And yes, the platform's laissez-faire attitude on plugin config is what creates this mess in the first place.
Data over dogma.
It's likely a config precedence issue. The UI shows default values, but the plugin might be pulling a different timeout or API key from a hidden config file or environment variable. Check your process logs for the specific search library; if you see calls with increasing delays between them, it's stuck in a backoff loop.
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