ChatGPT, Claude, Gemini, Cursor and Midjourney each ask different things of your network: some are strict about region checks, some about IP reputation, and some break when a long connection drops. This page breaks those requirements down and maps them to routes.
Tools · Route matching
Choose a route per tool — switching happens inside the client
why-it-fails
AI tools differ from ordinary websites in three ways: they read your exit region, they watch your exit IP's reputation, and they hold a connection open far longer than a normal web page. Fail any one of these and it looks like "won't open" or "drops halfway".
Most AI services decide availability from the registered location of your exit IP, and they also compare where the account was created with where it signs in from. If the same account jumps between region A today and region B tomorrow, risk systems treat it as a suspicious login.
A shared exit IP used by many people tends to land on a provider's risk list. You'll see more CAPTCHAs, extra verification steps, or a flat "not available in your region" — none of which has anything to do with how fast the route is.
Streaming output, code completion and agent tasks are all long-connection workloads. If the path jitters often or the exit changes mid-session, output stalls, completions spin, and tasks fail halfway through.
If only the main domain is in your proxy rules while API and static-asset domains go direct, the page loads but nothing works. In developer setups, command-line tools and IDE plugins each have their own network settings and need to be checked separately.
tool-by-tool
Below we break down network requirements for six common categories of tools. These are general usage patterns; specific checks can change at any time, and this page makes no promise of availability.
Sensitive to your exit region and to how clean the exit IP is. When too many people share one exit IP, CAPTCHAs and extra verification become common. The web app also loads several static-asset domains, and any one of them going direct will break features.
Note: sign-up and login are usually stricter about region consistency than day-to-day use.
The same double gate of region checks plus IP reputation. Uploading long documents and very long context chats are long-connection workloads; a mid-session hiccup can fail the upload or cut off a reply, and retrying is costly.
Note: the desktop and web apps may use different domains, so your proxy rules need to cover all of them.
Tightly tied to the Google account system, where a consistent login environment matters more than raw speed. Switching exit regions often tends to trigger extra account verification, so it's best to keep one regional route for the long term.
Note: Google services are sensitive to DNS results, so it's best to send DNS resolution through the same route.
The editor itself is just a shell; the real traffic comes from the model APIs it calls. Code completion needs low-latency short requests, while agent tasks are long connections lasting anywhere from tens of seconds to several minutes. One hiccup on the route and completions spin while a task may fail outright.
Note: IDE plugins often have their own proxy settings; if the system proxy doesn't apply, configure them separately.
Rendering follows a submit-wait-download pattern: the connection has to stay open while you wait, and the download stage tests your bandwidth. Image files are large, so when bandwidth is tight the job finishes but the result never arrives.
Note: a failed image download usually isn't a failed generation — just fetch the result again instead of resubmitting the job.
A working web app doesn't mean the API works: they use different domains and different authentication. Command-line tools, CI pipelines and server-side scripts each have their own network exit, so check the exit region and connectivity for each one.
Note: CI environments usually can't use a system proxy, so set the proxy environment variables explicitly in the job.
match-table
"Route requirements" describes what a route needs to satisfy, not a promise about any specific route. Match your tool's actual scenario when choosing.
| Tool / scenario | Exit region requirement | IP reputation requirement | Connection type | Suggested route type |
|---|---|---|---|---|
| ChatGPT web | Single fixed region | High (avoid shared exits) | Long connection + streaming | IEPL dedicated line |
| Claude web / desktop | Single fixed region | High | Long connection + large uploads | IEPL dedicated line |
| Gemini / Google services | Match account region | Medium | Long connection + DNS sensitive | IEPL dedicated line |
| Cursor code completion | Stable is enough | Medium | Frequent short requests | Relay |
| Cursor agent tasks | Stable is enough | Medium | Sustained long connection | IEPL dedicated line |
| GitHub Copilot | Stable is enough | Medium | Frequent short requests + long connection | IEPL dedicated line |
| Midjourney rendering | Stable is enough | Medium | Waiting + large downloads | Relay |
| API calls / CLI | Match account region | High | Short requests + streaming responses | IEPL dedicated line |
| CI pipeline calls | Match account region | Medium | Batched short requests | Direct |
Route types: IEPL dedicated lines run on a private path with low jitter; relay routes add one forwarding hop at lower cost; direct routes add no extra forwarding.
setup-notes
This stage is the most sensitive to region consistency. Pick a fixed-region route before you sign up and use the same route for registration, verification and first login — don't switch midway. In the VPNEQ client you can assign a route to each tool individually so nothing accidentally uses a different exit.
Daily use is about stability, not switching more often. Keeping your usual tools on one route and maintaining a consistent environment over time triggers fewer verification checks than a new route every day. Routes are grouped by region in the client, so switching takes one click.
The web app needs the main domain, API domain and static-asset domains covered; API calls only touch the API domain but demand stricter authentication and region consistency. Running a script with only web-app rules configured is the most common cause of "the site works but the script errors out".
Command-line tools read environment variables (such as HTTPS_PROXY), IDE plugins use their own settings, and CI pipelines need the proxy passed explicitly in the job definition. None of the three overrides the others, so configure and verify each separately. For sample subscription URLs, use placeholders like https://example.com/sub?token=YOUR_TOKEN — never commit your real subscription to a script repository.
Suggested troubleshooting order: first confirm in a browser that the tool's main domain is reachable, then check the API domain, and finally the CLI and plugins. Checking layer by layer beats switching routes straight away.
failure-modes
The same "won't open" can have completely different causes. Matching the symptom to its cause saves more time than swapping routes over and over.
The main domain is reachable but the API domain isn't. This usually happens when split-routing rules only list the main domain. To check, add the API domain to your proxy rules, or switch that tool to "all traffic through the route" in the client and try again.
An exit IP reputation issue, unrelated to speed. It shows up when a shared exit is used by too many people. Moving to a dedicated-line route and keeping the exit region fixed usually helps. Also avoid changing login regions repeatedly in a short period.
The long connection jittered or the exit changed mid-session. Check whether automatic route switching is enabled, turn it off, pin one route, and see if the problem returns. It also happens when a mobile connection hands over to Wi-Fi.
The plugin isn't using the system proxy. Most AI coding plugins have their own proxy setting that must be filled in separately, and some only pick up new network settings after you restart the editor.
Connectivity and authentication are two different things. If a request reaches the server but is rejected, the exit region usually doesn't match the account region, or the key is misconfigured. Confirm the exit region first, then check the key and request headers.
The connection is fine during the waiting stage; bandwidth is the bottleneck during download. Image files are large, so with tight bandwidth the download just stalls. Avoiding peak hours or retrying on a route with more bandwidth usually fixes it.
how-to-pick
Split your AI tools into two groups: "region-sensitive" and "just needs to be stable". Pin a regional route for the first group long term; for the second, pick whichever route is working well at the time. Once grouped, switching routes no longer means retesting every tool.
Streaming output, agent tasks and code completion tolerate jitter poorly. IEPL dedicated lines run on their own path with less jitter and suit these sustained connections; relay routes are enough for short requests and batch jobs.
Get the whole workflow running on one route first and confirm every tool works, then tune individual tools. Chasing "one perfect route per tool" from the start usually means constant switching that muddles your account environment.
VPNEQ
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