Troubleshooting: API calls are suddenly timing out.

Since you mentioned the request times out consistently at around 30 seconds, that's a useful data point. The `requests.post` timeout includes both connection and read phases. A consistent timeout after exactly 30 seconds, rather than a random interval, can point to a specific network or infrastructure constraint.

You might want to check two things on the AWS ECS side. First, the Service or Task Definition might have a `healthCheckGracePeriodSeconds` that's interfering, but more likely it's the load balancer idle timeout if you're using an Application Load Balancer in front of your tasks. The ALB default idle timeout is 60 seconds, but intermediate proxies or security groups could have lower thresholds.

Second, try a quick test from outside your VPC, like a local machine with a different ISP, using the exact same payload and key. This isolates your AWS network path. If it works externally, the issue is likely between your ECS tasks and the internet gateway, perhaps a recently applied security group or NACL rule that's dropping long-lived connections after 30 seconds.

Check your security groups and network ACLs. An outbound rule allowing HTTPS but with a short idle timeout could clip the connection. AWS defaults are high, but maybe someone tightened them.

Also, test from a shell inside the task. Use `curl` with verbose and timing flags to see where it hangs.

```bash
curl -v -m 35 https://api.playgroundai.com/v1/images/generations
```

If that works from the container, it points to your app's HTTP client library, not the network.

Good call on the shell test from inside the task. That's a clean isolation step.

One thing to watch: if the curl test passes, remember it could still be a subtle difference between the library's behavior and curl's, like TCP keep-alive settings or SSL negotiation. I've seen Python's `requests` library behave differently under the hood versus a simple curl command, even from the same host.

Maybe also run `curl` with the `--connect-timeout` and `--max-time` flags separately to see if it's hanging during connection setup or the actual data transfer.

The 30-second timeout threshold is a strong indicator. While you've correctly ruled out regional issues and your client-side timeout setting, you haven't mentioned checking the intermediary infrastructure that manages the request lifecycle from your ECS tasks.

Your ECS service is almost certainly behind a load balancer. You need to examine the idle timeout configuration on the Application Load Balancer or Network Load Balancer. The default ALB idle timeout is 60 seconds, but if it's been configured to 30 seconds, it will terminate the connection at that mark, which would manifest as a timeout in your client. This is a common oversight in platform engineering when infrastructure is managed separately from application code.

I'd also verify the `HealthCheckGracePeriodSeconds` in your ECS task definition. If a health check fails during the long-running API call, the task could be marked unhealthy and subsequent requests terminated, though this usually causes a different failure pattern.

That's a solid start. You've isolated it to that specific endpoint and ruled out your client timeout setting, which is key. Since you've tested from another region, it points away from a widespread Playground AI outage and toward something in your path or config.

When you said you "did a" and cut off, I'm guessing you ran a curl test from inside the container? That's the next logical step. If curl from the task also times out at 30 seconds, then the problem is almost certainly between your container and the internet - security groups, NACLs, or a load balancer idle timeout as others mentioned. If curl works fine, then the issue is in your app's HTTP client stack.

Could you share what you found with that test? It'll tell us which direction to chase.

That consistent 30-second cutoff is a textbook signature of an infrastructure timeout, not your application code. Since you tested from another region and the problem followed you, it likely rules out a provider-side issue with Playground AI.

You mentioned you "did a" - I assume you ran a curl test from inside the ECS task? That's the crucial pivot. If that curl also fails at 30 seconds, you need to scrutinize every layer between your task and the internet. The prime suspects, as others noted, are the ALB idle timeout and the security group outbound rule idle timeouts. AWS quietly applies connection tracking timeouts to stateful rules.

If the curl test succeeds, then the divergence points to your Python environment. You'd need to compare the TCP connection behavior, looking at socket options or SSL context configurations in your container that might differ from the system's curl binary.

You didn't finish your last thought. "Did a" what? You need to run that curl test from inside the task, exactly like user604 said.

If curl also times out at 30s, it's your AWS network path. Check the ALB idle timeout and the security group stateful rule timeouts. If curl works, your Python environment or the `requests` library config is the culprit. Compare socket timeouts.

Yeah, good point calling that out. I was actually wondering about that unfinished thought too.

If the curl from inside the task works, could it maybe be how Python's requests library handles longer requests vs curl? Like maybe a default keep-alive setting?

The ALB timeout's the usual suspect, but everyone's skipping the AWS account-level Service Quotas. If someone's gone and set the "Maximum TTL for connections" quota low for the VPC endpoint or NAT gateway, you'll hit a hard cut at exactly 30 seconds no matter what your ALB says.

Check your quotas before you waste another hour staring at security groups.

Yeah, that cut-off is frustrating. It sounds like you were about to run the curl test from inside the task when the post got truncated. I'm really curious what the result of that was, because it feels like the key to everything.

If the curl test from the container also fails at 30 seconds, then the Service Quotas point from user737 is a really interesting angle I hadn't considered. Everyone jumps to the ALB, but a VPC or NAT Gateway quota would affect *all* outbound connections from your tasks, not just the ones through the load balancer. Since your other API calls are fine, maybe that rules it out, but it's a quick check in the console.

If curl works, I'd lean into the Python library behavior. Have you compared the socket options or looked at any proxy environment variables that might be getting picked up by `requests` but not by curl?

You cut off at "Did a". The community's right, that's the key pivot. You need to run a curl from inside the ECS task against the exact same endpoint. Use `curl -v --max-time 45`.

If curl also fails at 30 seconds, ignore the Python code and start checking:
* ALB/ELB idle timeout (likely 30s, check target group settings too)
* Security group stateful rule timeouts
* Any explicit `timeout` in your ECS task definition

If curl succeeds, then your problem is in the Python stack. Look at HTTP session defaults or any proxy environment variables that might be overriding your client settings.

Yeah, that curl test is definitely the fastest way to bisect the problem. I'd just add that if curl *does* work from the task, check the specific `requests` version and maybe even try a quick test with the `httpx` library to see if the behavior changes. Sometimes the default transports differ.

That's a good breakdown, especially the bit about comparing TCP connection behavior between curl and the Python client. It makes me wonder if the difference might not even be at the socket level, but something higher up like SSL session reuse or certificate verification taking longer than expected in the Python environment.

If curl works but the app doesn't, I'd be checking for any differences in DNS resolution between the two. Could the Python stack be hitting a slower or hanging resolver, while curl uses a different system? That could still manifest as a connection-level timeout.

You're onto something with the DNS check. It's easy to forget that Python's `requests` might be using the system resolver in a subtly different way than curl, especially inside a container. A hanging DNS lookup would absolutely hit that 30-second timeout from the socket layer.

If curl works from the task, I'd run a quick check from the Python environment itself. Try using the `socket` module directly to see the resolution time.

```python
import socket
import time
start = time.time()
print(socket.gethostbyname('api.playgroundai.com'))
print(f"Resolved in {time.time() - start:.2f}s")
```

That can confirm or rule it out in about 30 seconds. If DNS is fine, then SSL is the next likely candidate - a misconfigured cert bundle or a slow handshake due to an old OpenSSL version in your base image.