Connection error operation timed out

AlwaysEnthusiast
(@alwaysenthusiast)

1 month, 3 weeks ago

This is a fantastic plugin and very useful. It works like a charm most of the time. However, sometimes the result is clipped so you see the first part of the chat bot response and then comes in red/pink background: “Error: Connection Error: Operation timed out after 120000 milliseconds with 72640 bytes received“. The server running the website is fast and not overloeaded. It has a fast internet connection (10GB). Are there any settings I can tweak to eliminate the problem? There are some setting in “Behaviour” (like “Context” and “Messages”) where I don’t understand what they do. I looked at the documentation but could not find any information there about this particular problem.

The page I need help with: [log in to see the link]

Viewing 14 replies - 1 through 14 (of 14 total)

Thread Starter AlwaysEnthusiast
(@alwaysenthusiast)

1 month, 3 weeks ago

Additional information: I tried to alter a large number of settings. The only change that made the problem go away was to change model from GPT 5.4 to 5.4-mini. Works fine with that.
Plugin Author senols
(@senols)

1 month, 3 weeks ago
Hi @alwaysenthusiast

Thank you for your kind words and thanks for the extra details.

The fact that GPT-5.4-mini works is a strong clue here.

This is usually not a server speed or internet bandwidth issue. The error means the request to the AI model took longer than the standard 120-second timeout, so the chatbot started returning the answer but did not finish in time.

A few notes about the settings you mentioned:

– Context: this controls the maximum response length / output tokens.
– Messages: this controls how many previous chat messages are sent back to the model as conversation memory

Higher values for those settings can make responses slower, especially with heavier models like GPT-5.4.

To reduce the chance of this timeout, please try:

– Keep Streaming enabled
– Lower Context
– Lower Messages
– For long or frequent replies, use GPT-5.4-mini instead of GPT-5.4
– If you are using gpt-5.4 make sure to set “reasoning” to none under behaviour.

Could you pls let me know followings;

– What is the reasoning value when model is gpt-5.4? Is it none?
– Is streaming enabled?
– Are you using any vector prodiver? If yes, which one? and what is the limit and Threshold values for them?

Best,
- This reply was modified 1 month, 3 weeks ago by senols.
Thread Starter AlwaysEnthusiast
(@alwaysenthusiast)

1 month, 3 weeks ago
1. I tried various reasoning levels for GPT 5-4 including none. That made no difference and I got the same timeout.
2. I got various advice from Gemini and GPT if streaming should be enabled but they both thought that if enabled the bot should recieve the result gradaully and this would reduce the risk for timeout. I tried GPT 5.4 and got the same time out with or without streaming enabled. This also made no difference in behaviour. When streaming was enabled it still waits and presents the whole reply at once. It would be great if streaming worked but so far I can’t se that it does. Can there be a glitch in that setting?? (It is currently enabled).
3. Vector provider: OpenAI and for Vector stores I use my own website. I tried various settings for “Limit” and “Threshold” but none of them made GPT 5.4 work. Currently I have limit=3 and Threshold=50.
- This reply was modified 1 month, 3 weeks ago by AlwaysEnthusiast.
Plugin Author senols
(@senols)

1 month, 3 weeks ago

One more question @alwaysenthusiast

what is your context and messages values under behaviour tab?

Thread Starter AlwaysEnthusiast
(@alwaysenthusiast)

1 month, 3 weeks ago

Context: 5160 (was 7500 but reducing did not make it work with GPT 5.4)
Messages: 15

Just a comment. “Context” appears in two places, a “Context tab” and under the “Behaviour tab” another “Context”. The latter I assume is max toikens in reply. I suggest the latter should be renamed to avoid mixing them up (it certainly made Gemini and GPT confused when they tried to help me).

As I mentioned before, it seems to work fine with GPT 5.4 mini but it results in simpler answers.

Plugin Author senols
(@senols)

1 month, 3 weeks ago

Thanks @alwaysenthusiast appreciate the details.

I just tested your chatbot and noticed the response is returned only after it’s fully generated. this is non-streaming behavior.

You can check our demo at https://aipower.org/, responses are streamed in real-time (they appear in chunks as they are generated).

Since you already enabled streaming, this is likely server-related.

Could you please do the following and share your server details?

– Install and activate the Health Check & Troubleshooting plugin
– Go to Tools → Site Health → Info tab
– Open the Server tab
– Copy and paste the details here

If this is something i can fix related to the streaming, it may also resolve the timeout issue.

Thread Starter AlwaysEnthusiast
(@alwaysenthusiast)

1 month, 3 weeks ago

Server architecture Linux 6.12.0-124.45.1.el10_1.x86_64 x86_64
Web server Apache/2
PHP version 8.3.30 (Supports 64bit values)
PHP SAPI fpm-fcgi
PHP max input variables 1000
PHP time limit 30
PHP memory limit 128M
PHP memory limit (only for admin screens)256M
Max input time 60
Upload max filesize 64M
PHP post max size 64M
cURL version 8.12.1 OpenSSL/3.5.1
Is SUHOSIN installed? No
Is the Imagick library available? Yes
Are pretty permalinks supported? Yes
.htaccess rules Custom rules have been added to your .htaccess file.
robots.txt There is a static robots.txt file in your installation folder. WordPress cannot dynamically serve one.
Current time 2026-04-02T10:27:52+00:00
Current UTC time Thursday, 02-Apr-26 10:27:52 UTC
Current Server time 2026-04-02T13:27:51+03:00

Thread Starter AlwaysEnthusiast
(@alwaysenthusiast)

1 month, 3 weeks ago

I updated to version 2.3.93 but it still return answer only after it’s fully generated.

Plugin Author senols
(@senols)

1 month, 3 weeks ago

Hi @alwaysenthusiast

Thanks for sharing the server details.

The reason streaming is not working as expected on your site is this server setup:

PHP SAPI: fpm-fcgi

What that means:

– your site is running PHP through PHP-FPM / FastCGI instead of direct PHP output
– this setup is normally fast and efficient
– however, on many servers it also buffers the response before sending it to the browser

That buffering is important here because chatbot streaming depends on the server sending small chunks immediately as they are generated.

So instead of:

– chunk 1
– chunk 2
– chunk 3

your server is holding everything in memory and only release it when the request is finished. That is why on your site the reply appears all at once instead of streaming live.

This buffering can also make timeouts more likely with heavier models like gpt-5.4, because the request stays open longer and the browser/server waits for the full response.

Possible fixes:

– ask your hosting provider to disable FastCGI / proxy buffering
– if they use Apache with PHP-FPM, they should check FastCGI/proxy buffering and flush behavior
– disable PHP output buffering / compression if enabled:output_buffering</strong and zlib.output_compression
– check whether if you are using Cloudflare, a reverse proxy, or server cache is buffering responses
– increase server execution/request limits if needed:
– PHP max_execution_time
– PHP-FPM request_terminate_timeout
– proxy/read timeouts

So in short:

the issue is most likely not your internet speed or server hardware, but the way fpm-fcgi commonly buffers output in front of WordPress.

That is also why gpt-5.4-mini works better: it finishes faster, so it is less affected by buffering and timeout limits.

So at this point unfortunately there is not too much i can do about it but i will check more to see if i can add some kind of fallback but i think the fastest way to fix it to ask your provider to disable FastCGI / proxy buffering.

Pls let me know how it goes.
Thread Starter AlwaysEnthusiast
(@alwaysenthusiast)

1 month, 3 weeks ago
Thank you for your reply. I suspect the PHP buffering as you say is the main culprit. However, I asked Gemini if disabelling this might have negative side effects and got an interesting reply:

The developer is completely right about why the chatbot is failing: Server-Sent Events (SSE), which power that live typing effect, require the server to stream data in real-time. If your server is buffering, it collects the whole response first, holding it hostage until the GPT-5 model finishes thinking, which often leads to those frustrating timeouts.

However, yes, following this advice blindly and disabling FastCGI/proxy buffering globally across your entire server can absolutely cause negative side effects.

Here is a breakdown of exactly what buffering does, what happens if you turn it off, and the safest way to actually fix this.Why Your Server Uses Buffering in the First Place

Right now, when someone loads a standard page on your WordPress site, your server’s PHP workers generate the page and immediately hand the finished file over to the FastCGI proxy (usually Nginx). The proxy then sends it to the visitor’s browser.

Because the proxy takes over the delivery, your PHP worker is instantly freed up to handle the next visitor. This is what makes your site fast and efficient.The Side Effects of Disabling Buffering Globally

If you ask your host to just “disable FastCGI buffering,” and they do it for your entire website, here is what you risk:
- PHP Worker Exhaustion (The biggest risk): Without buffering, your PHP workers have to stay connected to the visitor until the very last byte of the page is downloaded. If a visitor is on a slow 3G mobile connection, your PHP worker is stuck waiting for them. If you get a spike in traffic, all your PHP workers get tied up, and your site will start throwing “502 Bad Gateway” or “504 Gateway Timeout” errors for everyone else.
- Higher Memory (RAM) Usage: Because those PHP processes are staying alive much longer to babysit the connection, your server will use significantly more memory.
- Slower Overall Site Speed: While the chatbot might stream nicely, regular visitors loading your homepage or blog posts might experience sluggish load times during busy periods because the server’s traffic-cop system (the buffer) has been dismantled.
The “Smart” Solution: Targeted Disabling

You do not have to choose between a broken chatbot and a slow website. You can have both work perfectly, but it requires a surgical approach.

Instead of disabling buffering for the whole server, buffering should only be disabled for the specific URL or connection the chatbot uses. There are two ways this is usually handled:
1. Nginx Rules: Your host can add a specific rule in your server settings that says, “Keep buffering ON for the whole website, but turn fastcgi_buffering off; ONLY when a request goes to the AI Puffer chatbot endpoint.”
2. The Header Trick: A well-coded streaming plugin should actually send a special hidden message to the server (specifically header('X-Accel-Buffering: no');) right before it streams. This tells Nginx to automatically bypass the buffer just for that one single chat response.
My question is what do you think about Gemini’s proposal “The Header Trick”? Is that something you could implement in AI Puffer??
Plugin Author senols
(@senols)

1 month, 3 weeks ago

hi @alwaysenthusiast

Thanks for sharing this.

The problem with all the suggestions and workarounds from Gemini is based on the assumption that your server is Nginx. However your webserver is using Apache not Nginx.

The workaround that he suggest using header trick is already in place for the users that have nginx. but it is not the case for your server.

I did a lot discussions both with codex and claude and the main conclusion is that turning off the fast cgi as it does not have any huge impact.

Plugin Author senols
(@senols)

1 month, 3 weeks ago

by the way if you can switch to nginx from apache that will also fix the issue.
Thread Starter AlwaysEnthusiast
(@alwaysenthusiast)

1 month, 3 weeks ago
Gemini says about this:

Gemini said

Ah, that changes the game entirely! It is a very good thing you clarified that you are on Apache. Nginx and Apache handle FastCGI and server buffering quite differently, so the previous Nginx-specific fixes won’t do anything for your setup.

In an Apache environment using PHP-FPM, the buffering that stops your chatbot from streaming is usually caused by a combination of Apache’s FastCGI module (mod_proxy_fcgi) and its compression module (mod_deflate or Gzip), which try to bundle the data together to save bandwidth.

Just like with Nginx, you do not want to turn this off globally. Here are the targeted ways to fix the streaming issue specifically for Apache, without slowing down the rest of your website.Fix 1: The .htaccess Rule (The Safest DIY Method)

Apache allows you to control server behavior using your website’s hidden .htaccess file. You can tell Apache: “Disable compression and force the server to flush data immediately, but ONLY for the chatbot.”

Most WordPress AI chatbot plugins process their streams through the WordPress REST API (/wp-json/). You can add a rule to bypass buffering for those specific requests.

You can add this snippet to your .htaccess file (usually right at the top):

Apache
```
<IfModule mod_setenvif.c>
    # Disable gzip compression and force flushing for WordPress REST API requests
    SetEnvIfNoCase Request_URI "^/wp-json/" no-gzip dont-vary
    SetEnvIfNoCase Request_URI "^/wp-json/" flush
</IfModule>
```
Note: This tells Apache not to buffer or compress the AI’s response, allowing the text chunks to flow through to your browser immediately.Fix 2: What to Ask Your Hosting Provider

If you are not comfortable editing the .htaccess file, or if your host has locked it down, you can pass a very specific request to their support team so they don’t accidentally ruin your global performance.

Instead of asking them to “disable FastCGI buffering,” send them this exact message:

“My site is running Apache and PHP-FPM. I am using an AI chatbot plugin that relies on Server-Sent Events (SSE) to stream responses. Currently, the server is buffering the PHP output, causing timeouts. Could you please configure mod_proxy_fcgi to set flushpackets=on and disable mod_deflate (gzip) specifically for the chatbot’s endpoint (the WordPress REST API or admin-ajax.php), rather than disabling buffering globally across my entire server?”

Fix 3: The Plugin Developer’s Responsibility

It is worth noting that the AI Puffer developers also share some responsibility here. Well-coded streaming in PHP on Apache should forcefully push data out using specific PHP commands.

The developer should be using ob_end_flush(); and flush(); inside their plugin’s code loop. This manually tells the Apache PHP worker, “Stop holding this data in memory and send it to the browser right now,” chunk by chunk. If they aren’t using those commands properly, the server will naturally wait until the GPT-5 response is completely finished before sending it.

To help narrow down the exact code needed for your .htaccess file, do you happen to know if AI Puffer routes its chat requests through the standard WordPress REST API (URLs containing /wp-json/), or does it route them through the older WordPress AJAX system (admin-ajax.php)?

##############################################

I can modigy my .htaccess file but what do you think about when Gemini says:

he developer should be using ob_end_flush(); and flush(); inside their plugin’s code loop. This manually tells the Apache PHP worker, “Stop holding this data in memory and send it to the browser right now,” chunk by chunk. If they aren’t using those commands properly, the server will naturally wait until the GPT-5 response is completely finished before sending it.
Thread Starter AlwaysEnthusiast
(@alwaysenthusiast)

1 month, 3 weeks ago
In the meantime I elaborated on some alternatives Gemini gave me on manipulating .htaccess. This did not make any difference:
```
# BEGIN AI Puffer Streaming Fix
<IfModule mod_setenvif.c>
    # Disable gzip compression and force flushing for WordPress REST API requests to allow SSE streaming
    SetEnvIfNoCase Request_URI "^/wp-json/" no-gzip dont-vary
    SetEnvIfNoCase Request_URI "^/wp-json/" flush
</IfModule>
# END AI Puffer Streaming Fix
```
However, this made the streaming work:
```
# BEGIN AI Puffer Streaming Fix
<IfModule mod_setenvif.c>
    # Disable gzip and force flush for REST API
    SetEnvIfNoCase Request_URI "^/wp-json/" no-gzip dont-vary
    SetEnvIfNoCase Request_URI "^/wp-json/" flush
    
    # Disable gzip and force flush for Admin AJAX (just in case)
    SetEnvIfNoCase Request_URI "^/wp-admin/admin-ajax\.php" no-gzip dont-vary
    SetEnvIfNoCase Request_URI "^/wp-admin/admin-ajax\.php" flush
</IfModule>
# END AI Puffer Streaming Fix
```
I guess this means AI Puffer use Admin AJAX rather than REST API.

Viewing 14 replies - 1 through 14 (of 14 total)

You must be logged in to reply to this topic.