ChatGPT, Claude, Gemini, Copilot, Midjourney and Cursor ask more of a connection than an ordinary web page does: they need a route that holds up for a long time, keeps a stable region, and never changes its exit mid-session. This page breaks those requirements down one by one.
A news page can hiccup and you may never notice. A chat AI writes its answer as it streams, so one hiccup and the reply stops mid-sentence. Three things decide how the experience differs.
AI services generally treat the exit IP as one input to a risk score. Data-center ranges and IPs shared by large numbers of users are more likely to be asked for human verification, or throttled at peak hours. In most cases this has nothing to do with account security, but the checks keep coming back and make the tool annoying to use.
The region where an account was registered, the subscription region and the features available all relate to the exit region. If the exit region changes mid-session, security policies kick in: dropped connections, a prompt to sign in again, or a notice that the current region is unavailable. Being able to connect and staying connected in the same region are two different things.
A single answer can run for tens of seconds, with data returned in fragments. Packet loss and retransmission, an exit switch or route jitter will all cut the reply off mid-sentence. This kind of workload cares more about stability than peak speed — steady beats fast.
The table below groups tools by how they are used. It is qualitative only and contains no measured figures — the same tool varies more across regions and times of day than tools vary from one another.
| Tool | Usage pattern | Sensitivity to exit region | Sensitivity to route jitter | Suggested route type |
|---|---|---|---|---|
| ChatGPT | Web + API | Sensitive; strictest at sign-up and sign-in | Sensitive; streaming output | IEPL dedicated line / relay |
| Claude | Web + API | Sensitive | Sensitive; long-form streaming | IEPL dedicated line |
| Gemini | Web + API | Tightly tied to the account region | Moderate | Relay / IEPL dedicated line |
| GitHub Copilot | IDE extension | Moderate | Moderate; frequent, short requests | Relay |
| Midjourney | Web / desktop app | Moderate | Moderate; long-running tasks | Relay |
| Cursor | In-IDE chat + indexing | Moderate | Sensitive; indexing uploads a lot of data | IEPL dedicated line / relay |
See the routes page for the route types in the table: IEPL dedicated lines suit connections that need to stay up for a long time, relays suit switching between several regions, and direct routes suit light, occasional requests.
Each tool below is described in terms of what it cares about most and where it tends to go wrong. All of it is qualitative, with no measured figures, and none of it restates any third-party service's rules.
ChatGPT
The web app and the API do not ask for the same things. The web app is a long-lived connection with streaming output, and it is most sensitive to the exit region at sign-up and sign-in. The API uses standard HTTPS requests and is more sensitive to exit IP stability and concurrency, so batch calls are more likely to hit rate limits. Give one account a fixed exit region and avoid switching back and forth within a session.
Claude
Mostly long-form conversation, where a single answer runs longer and is more sensitive to route jitter. The web app checks the region at sign-in and subscription steps, so an exit region that differs from the account region tends to trigger re-verification. Pinning the exit region with a dedicated-line route matters more than chasing peak speed.
Gemini
Tied fairly tightly to the account's region setting: when the exit region changes, you may see a notice that the current region is unavailable, or lose access to some features. The web app and the API do not judge region in exactly the same way — the web app loading does not mean the API will work. Point both at the same exit region to cut down on switching.
GitHub Copilot
It runs inside the editor and uses HTTPS requests, so it is less sensitive to region checks than chat tools, but it does care about request continuity: completion requests are frequent and small, and route jitter shows up as delayed completions or the occasional empty response. Following the system proxy is usually enough — just make sure the editor's own proxy setting is on, since some extensions ignore the system proxy.
Midjourney
Generation tasks run long, and both the prompt and the result are pushed over a long-lived connection. Dropping the connection mid-task usually does not lose a submitted job, but you cannot see progress and it is awkward to keep working. Keep the route stable while submitting batch jobs, and do not switch exit regions during generation.
Cursor
In-IDE chat, completions and codebase indexing all go over the network. Indexing uploads far more data than chat does, so it needs both upstream bandwidth and a stable route. If indexing breaks you have to trigger it again, which costs time. Use a stable dedicated-line route for indexing and keep the exit region unchanged.
Most AI services run a region and exit-IP risk check at sign-up, and that check is usually stricter than day-to-day use. The points below are about the order of operations.
Keeping sign-up, first sign-in and daily use in the same region is the easiest and most effective approach. Doing the opposite — switching exits several times in a few minutes to "try another region" — makes the risk score worse and brings more verification, not less.
If a tool keeps saying the region is unavailable at sign-up, check first whether the exit region matches the account region instead of switching nodes and retrying.
The same tool has very different connection characteristics when you open it in a browser and when you call it through an API, and the things to watch for differ too.
What these three have in common: the requests come from a program, not a browser, so when something breaks there is no page to look at — you have to dig through logs.
Most terminal tools read the https_proxy and http_proxy environment variables. Point both at the local client's listening port; use whatever port the client actually shows. The example below uses placeholder address and port values — replace them with your own.
export https_proxy=http://127.0.0.1:7890
export http_proxy=http://127.0.0.1:7890
curl -I https://api.example.comTwo things to note: first, HTTP clients in some languages ignore these variables by default and need to be told explicitly in code; second, environment variables only apply to the current terminal session, so a new window needs them set again.
Completion and chat extensions in an editor usually follow the system proxy, but the editor itself often has a separate proxy setting, and when the two disagree you get the "works in the browser, not in the editor" situation. Check in this order: confirm the system proxy is in effect, then look at the proxy entry in the editor's settings, then check whether the extension has a setting of its own.
Build machines, containers and automation scripts usually share an exit IP, and it changes more often, so they trip risk controls more readily than a personal device. If a pipeline has steps that call AI APIs, give it a fixed exit region and control concurrency; a self-hosted runner makes this easier than a public build machine. Also keep keys in CI's encrypted variables only — never in repository files.
Troubleshoot in a fixed order: first check whether the exit region is stable, then whether the exit IP is shared by a lot of users, and only then suspect the tool's own configuration. Working backwards usually takes longer.
The five symptoms below cover most everyday problems. They look alike, but the causes fall into three groups: route, region and rate.
You do not have to get it right the first time — pick a route for your main use and adjust after a while based on how it performs. VPNDM offers 120+ countries and 190+ routes, with clients for Windows / macOS / iOS / Android / Linux and no limit on simultaneous devices.
If you use chat tools for long stretches every day and interrupted answers bother you, go with a dedicated-line route first. It trades a little flexibility for a steadier connection, so streaming output is less likely to break mid-sentence.
If you need to move between regions or run several tools at once, a relay route is the more flexible fit. Just pin one region per tool and do not let the client hop between regions on its own.
For occasional API calls where latency is not critical, a direct route through the nearest exit is enough. Keeping concurrency reasonable cuts rate limits more than paying for a pricier route.
Ordinary web pages mostly do not check the exit region; AI tools do. That message usually means the exit region does not match the account region, or the region is outside the service's supported range. Check the exit region first, then decide whether to change routes or nodes.
No. The web app cares more about keeping a long-lived connection alive, and route jitter interrupts answers; the API cares more about exit IP stability and request rate, and batch calls are more likely to hit rate limits. For the same tool, you can configure the two paths around their own priorities.
The most visible effects are more verification prompts and an unstable sign-in state. Risk systems treat "the same account signing in from several regions in a short time" as an anomaly. Pinning one exit region for the tools you use most is the simplest and most effective fix.
Just trigger indexing again; submitted jobs are generally not lost. Indexing uploads far more data than chat, so use a stable dedicated-line route while it runs and do not switch exit regions in the middle.
Usually not, but if the old and new routes exit in very different regions you may be asked to verify once more. That is another reason to pin your everyday tools to one region: fewer checks means smoother daily use.
120+ countries / 190+ routes, clients for Windows / macOS / iOS / Android / Linux, no limit on simultaneous devices, from ¥9.9 per month, 14-day money-back guarantee, Alipay / WeChat Pay / USDT accepted.