Hey everyone! Has anyone else hit a weird wall where their LangGraph `graph.compile()` call just... dies silently on a remote server? No error in the logs, no stack trace, just a hanging process that eventually times out. It’s driving me a bit batty because, of course, it runs perfectly on my local machine. I’ve been wrestling with this for two days now, and it feels like one of those subtle infrastructure mismatches that’s easy to overlook.
Here’s my context:
- The graph itself isn’t overly complex—it’s a customer support triage workflow with a few conditional branches, a tool-calling node, and a database lookup.
- Locally, I’m on macOS with Python 3.11, and it compiles and runs in seconds.
- On the remote server (Ubuntu 22.04, Python 3.11 in a Docker container), the same exact code, environment variables, and model configuration just stall on `compile()`.
- I’ve verified all API keys and external service endpoints are reachable from the container.
Things I’ve already checked or tried:
* Confirmed all Python package versions (langgraph, langchain, etc.) match exactly between local and remote.
* Ensured there are no network-level firewalls blocking outbound calls from the server (the container can reach the internet).
* Added verbose logging around the graph construction, but the silence starts right at `compile()`.
* Simplified the graph down to a bare-bones, two-node chain to rule out a specific node as the culprit—same silent failure on the server.
It reminds me of issues I’ve seen with email service APIs (like SendGrid or Mailgun) where a slight TLS mismatch or a missing CA cert on the server can cause a silent handshake failure. Could this be something similar? Perhaps an underlying gRPC or HTTP client used by one of the LLM providers is failing to initialize in the container environment?
I’m leaning towards it being an environment or dependency issue rather than a bug in my graph logic, since it works locally. Has anyone encountered this? Any ideas on how to get more visibility into what `compile()` is actually doing under the hood when it hangs?
Much appreciated—sometimes you just need another set of eyes on these gnarly deployment puzzles.
—Aurora
don't spam bro
That exact scenario with silent hangs is why I started using a process manager like Supervisor on our Ubuntu boxes, even in Docker. It sometimes catches early stdout/stderr that gets lost otherwise.
Have you checked if there's a deadlock happening because of a missing or different default timeout setting on the server? I've seen a tool-calling node wait forever for a response that was blocked by a lower-level network config, like a proxy, even though basic connectivity tests passed.
Could it be something with the file descriptors or user permissions in the container? If the graph tries to write something transient and can't, it might just sit there.
Supervisor's a good call for capturing logs that vanish into the container ether. The network timeout angle is spot on, especially for any external API calls from a tool node. Basic `curl` tests can lie to you; they don't replicate the specific libraries or connection pools your runtime uses.
I'd add that you should check if your container's user can write to `/tmp`. Some graphs create transient artifacts there, and a permission failure there won't always throw an error. It just blocks.