AI Tools Access Guide

Why AI services are so sensitive to your network

Opening a news site barely stresses your network, yet AI services on that same connection often work one minute and fail the next. The reason is not whether the connection can be established, but the series of checks the provider runs after it is. Break those checks down and the problem starts to make sense.

Layer one: IP reputation scoring

AI services are open worldwide, but they also have to prevent automated abuse, so every request's source IP gets a reputation score. The score reflects whether the IP belongs to a residential connection or a data center, whether that IP range has historically been used by large numbers of scripts, and how many accounts currently share the same egress.

Data center IP ranges (cloud hosts, virtual servers) score low by nature, since most automated scripts originate from addresses like these. Shared egress is a more direct problem: when dozens or hundreds of accounts sit behind one egress IP, a single account behaving abnormally drags down the score for the whole range, and every other account suffers with it.

The typical symptom at this layer: the homepage loads, but the moment you sign in you are asked for extra verification; or a chat submission comes back with a bare “request denied” and no detail. This is not a banned account — it is one request that failed the risk check.

Layer two: region checks — three signals must line up

AI services typically read three region signals at once: the region chosen when the account was created, the billing region of the payment method, and the region of the IP making the current request. When all three agree, things run smoothly; when they clearly conflict, the system treats it as a possible account takeover.

The most common case: you pick region A at sign-up, then spend months accessing from region B. Nothing breaks right away, but impossible-travel detection keeps accumulating flags, and one day you are suddenly asked to verify or lose access to some features. The hallmark of this problem is that it detonates late — fine today does not mean fine next week.

Layer three: long-lived connections and streaming output

Reading the news uses short connections: one request of a few KB, response received, done. An AI conversation uses a long connection: a single answer may run for tens of seconds or even minutes, and the connection has to stay up the whole time. Technically this usually means streaming — the server generates and pushes at the same time, and the client renders chunk by chunk.

What this pattern demands from the route is stability, not peak speed. If the egress IP changes mid-answer, if packets are dropped, or if an intermediate device ages out the session entry, the stream breaks. The symptom is an answer that stops halfway with the cursor frozen, or a spinner followed by a network error. Whatever was already generated stays on the page; the rest is lost.

Layer four: signals from the browser and the system

Beyond the IP, the server also reads browser time zone, interface language, font list and similar signals. An IP that says Tokyo combined with a UTC+8 system time zone and a Simplified Chinese browser language is a combination that raises risk on its own. Aligning your time zone and browser language with the egress region removes unnecessary conflicts and lowers the chance of a false flag.

What mainstream AI tools require: a quick reference

Different tools focus their risk checks on different things. Chat tools care most about consistency between the signed-in session and the egress region; image tools care more about staying online after a job is submitted; coding tools are affected by both account status and network configuration on the editor side. The table below is organized around the step people most often overlook.

Claude's strength is long documents, and a single answer can easily run to thousands of words. The longer the generation, the wider the window for something to go wrong along the route. If answers frequently stop halfway, suspect packet loss before you suspect your account — switching to a more stable route is usually more effective than signing in again and again.

Gemini is tied fairly tightly to the account region. If you signed up through one region's egress and then spend months accessing through another, the region checks keep accumulating conflicting signals. The safer approach is to keep your access egress consistent with your sign-up region — don't bounce between Tokyo today and Los Angeles tomorrow.

Copilot is a continuous-request tool inside the editor: code completion fires a request every few characters, so it is more sensitive to latency than to bandwidth. Its connection is established inside the editor process, not the system browser, so a browser that loads pages fine does not prove the editor works — these are two independent network paths.

Midjourney's defining trait is the wait after you submit a job. The connection must not drop while you are queued; if it does, the job may already be generated but you cannot retrieve it. Use this kind of tool during periods when the route is stable, and avoid submitting a large batch of jobs during the most congested evening peak.

Cursor does two things at once: continuous requests for code indexing and completion, and conversational code edits. The indexing phase keeps syncing project information, which uses far more bandwidth than plain chat and is latency-sensitive at the same time. If completion keeps spinning, first rule out local network jitter, then consider changing routes.

Look at these tools together and a common thread appears: they all need the egress address to stay stable for the duration of a session, and they need low packet loss. Peak speed only affects the first load; stability is what decides whether the whole session gets to finish.

Account sign-up and sign-in: the pitfalls that catch people most

Most complaints that “AI tools don't work” are not actually about chatting — they get stuck at sign-up and sign-in. These two steps have the strictest risk checks, because this is where the provider decides whether you are a real user.

Three things to sort out before signing up

First, settle on a region you will use long term and stay as consistent with it as you can. Switching sign-up regions frequently brings no benefit; it only muddles the account's region information and makes it harder to tell which step went wrong later.

Second, have an email address that reliably receives mail. This is about the AI service's own sign-up requirements, not VPNDM — signing up for this service only needs a username and password, no email address. Don't conflate the two.

Third, don't open multiple tabs and submit the sign-up form over and over. Rapid repeated submissions look like scripted behavior and can trigger a CAPTCHA or a temporary block. Fill it in once, submit once, and if it fails, wait a while before trying again.

Why it pays to stick to one egress region

A signed-in session is usually bound to region information. Signing in from Tokyo today, Frankfurt tomorrow and Singapore the day after looks to the system like the same account crossing half the planet in a short time — something that almost never happens with a real user. In the short term it may just mean one extra verification; over time it accumulates into risk flags, and one day you are suddenly asked to verify or lose access to some features.

Sticking to one egress region does not mean using a single route forever; it means keeping your regular routes within the same region. VPNDM offers 120+ countries / 190+ routes, so there is plenty to choose from — but plenty of choice does not mean you should switch often. Save route switching for nearby access and backup failover, not for changing your sign-in region.

Common sign-in prompts and what to do

Extra verification required: first check whether the current egress region matches your last sign-in. If you just switched routes, switch back to the original region and retry — that usually goes straight through.

“Region not supported”: this means the egress for this request is outside the service's supported range. Switch to a route that is clearly in a supported region rather than refreshing the page — refreshing does not change the egress address, it only adds more requests.

Signed out immediately after signing in: most likely the session write was interrupted. Clear the site's cookies and local storage once, then sign in again. Note that you will need to verify again after clearing — that is normal, not a fault.

Managing devices and signed-in sessions

This service allows unlimited simultaneous devices, so desktop, phone and tablet can all be connected at once without signing out of anything. AI services, however, usually limit how many devices can be signed in, and repeatedly signing in and out across many devices also generates risk flags. Keep your usual devices signed in and sign out of the ones you rarely use.

Why streams suddenly drop when the web app was working fine

A dropped stream is the classic AI failure: the page has not crashed, you are still signed in, the answer just stops moving. It is a completely different problem from “the page won't load”, and it needs a different troubleshooting direction.

Three symptoms, three causes

First: the answer stops halfway, the cursor is still blinking, and nothing more arrives no matter how long you wait. The connection broke mid-stream; what was already pushed stays on the page and the rest will never arrive. Refresh the page and resend the question — your chat history is unaffected.

Second: the spinner runs for a long time after you submit and not a single character appears. The request never arrived, or the response headers are not coming back. First confirm the egress is working, then check whether the current route is congested.

Third: the answer arrives, but the speed swings and one sentence arrives in several fragments. This is link jitter — the connection is not down, but transmission quality is unstable. Switching routes usually fixes it immediately.

Troubleshoot in order, don't guess

1. Confirm the egress region. Open any page that shows your egress location and note the region.
2. Compare it with the region you were on when things last worked. If it differs, switch back first, then retry.
3. Switch to another route in the same region. Changing routes within a region does not change the region signal, but it rules out a problem with one specific route.
4. If every route in that region fails, then consider changing regions, and watch for verification prompts afterwards.
5. Suspect the account last. An account problem looks like “no route works”, not “this one route doesn't work”.

Client-side settings worth checking

Routing rules: if your client uses rule mode, make sure the AI service's domain actually goes through the proxy route and is not being sent direct by a missing rule. When rule lists lag behind, new domains going direct is very common — and it looks exactly like “no route change helps”.

UDP and QUIC: some browsers try UDP-based transport first. If the current route does not fully support UDP, you can temporarily disable the relevant option in the browser to force TCP, which usually stabilizes things right away.

DNS: use the client's built-in DNS resolution to avoid inconsistent answers from your local ISP's DNS. When the resolved result does not match the actual egress region, connections can misbehave — and this kind of fault often shows up on only some domains, which makes it harder to pin down.

IPv6: if your local network offers IPv6 while the route only handles IPv4, you can end up with “it loads, but slowly”. Turning off IPv6 preference in the client is a worthwhile first thing to try.

API calls vs. the web app: the requirements are not the same

Many people assume that if the web app loads, the API must work. In reality the two go through different check chains, and applying web-app experience directly to the API often leads to the wrong conclusion.

Authentication mismatches

The web app relies on session state, usually maintained by browser cookies and a session token, and every request after sign-in carries it automatically. The API relies on a key that must be sent explicitly in the request headers every single time — there is no session concept. That means every API call is an independent risk decision; there is no such thing as “sign in once and you're covered for a long time”.

Region restrictions are enforced differently

For the web app, region checks mostly happen at sign-in and are relatively relaxed afterwards. The API may validate region on every request, and if the egress region changes mid-run it returns a region error directly. For API workloads, egress stability matters more than it does for the web app — run an entire batch through the same route from start to finish.

Timeouts and concurrency differ

The web app sends one request per conversation with timeouts measured in minutes. API calls usually have shorter timeouts, and batch jobs fire multiple requests concurrently. When concurrency exceeds what your account tier allows, you get a rate-limit error rather than a region error — the two are handled completely differently, so read the error type before you act.

A minimal connectivity check

# 1. First confirm your current egress region in the browser and note it down
# 2. Set the proxy environment variables; use the port your local client is actually configured with
export HTTPS_PROXY="http://127.0.0.1:7890"
export HTTP_PROXY="http://127.0.0.1:7890"

# 3. Run a connectivity check against the example endpoint; replace the key with your own
export API_KEY="sk-xxxx-replace-with-your-own-key"
curl -sS -m 20 -o /dev/null -w "%{http_code}\n" \
  https://api.example.com/v1/models \
  -H "Authorization: Bearer $API_KEY"

A 200 means both the route and authentication are fine; a 401 is a key problem; a 403 is usually a region or permission problem; a 429 is rate limiting. Work out which one you have before changing anything — don't retry blindly without reading the status code.

Developer setups: command line, IDE plugins and CI

Most connection problems developers hit are not the route itself but a tool not taking the path you expect. Configuring the three common paths separately saves a lot of troubleshooting time.

Command line

Command-line tools do not read the browser's proxy settings automatically; you have to set them explicitly through environment variables. Most tools recognize both uppercase and lowercase forms, so set both to avoid the odd tool that only reads one. After setting them, run a simple connectivity check to confirm they took effect before starting real work.

IDE plugins

Plugins inside an editor run in the editor process, on a network path completely independent of the browser. In other words, everything can work in the browser and the plugin still cannot connect. Most plugins read the system proxy settings; some have their own proxy options that must be filled in separately.

Once configured, do a minimal check first: have the plugin make the simplest possible request and see whether it returns. If completion keeps spinning while chat works fine, the problem is usually in the request path completion uses, not the network as a whole.

CI environments

CI environments are configured differently from a local dev machine, usually by injecting pipeline variables. Three things to watch:

1. Always inject keys through the pipeline's encrypted variables; never write them into repository files.
2. A CI runner's egress address is usually a data center address, and its region may differ from your local dev environment — confirm in advance for any job that involves region checks.
3. CI jobs tend to be batched and concurrent, which easily triggers rate limits. Lower the concurrency when needed rather than retrying over and over.

A practical habit for local development

# .env.local (remember to add it to your version-control ignore list)
HTTPS_PROXY="http://127.0.0.1:7890"
HTTP_PROXY="http://127.0.0.1:7890"
NO_PROXY="localhost,127.0.0.1,.internal.example.com"

# Example key — replace it with your own
API_KEY="sk-xxxx-replace-with-your-own-key"

Putting the local loopback address and internal domains into NO_PROXY keeps local debugging requests from being routed through the proxy, which cuts down on noise. Remember to add this file to your repository's ignore list, and rotate the key in the provider's dashboard immediately if it leaks.

Bans and rate limits: causes and how to avoid them

First, separate the two. Rate limiting is a temporary measure that clears on its own after a while; a ban is an account-level action that usually does not reverse itself. They are triggered by different things and handled differently, and conflating them leads to the wrong move.

Common causes of rate limiting

Requests too dense in a short window: manual refreshing, scripted batch submissions, or several devices firing off large numbers of requests at once. This is the most common cause and the easiest one to control yourself.

Being caught up in a shared egress: other users behind the same egress address are calling at high frequency, and the quota for the whole address gets used up early. This is hard to avoid entirely on shared routes; choosing a service with more stable route quality reduces how often it happens.

Concurrency above your account tier's cap: a batch job fires too many requests at once and the excess is rejected. Lower the concurrency and add a retry interval — no need to change accounts or routes.

Common causes of bans

Long-running region conflicts: the sign-up region, billing region and access egress stay inconsistent for a long time, and past a certain point it triggers action. This kind of problem does not blow up the same day; it tends to appear after weeks of use.

The egress address has been heavily abused: if the egress address you use has a history of heavy script usage, your account may be flagged by association. This has nothing to do with your own habits — moving to a cleaner route improves it.

Violating the provider's own terms of service: for example, using automation to get around usage limits, or sharing an account with people outside the permitted scope. This one has nothing to do with your network — it is about how you use the service, and no route change will help.

How to avoid trouble

• Fix the region: keep sign-up, billing and daily access in the same region, and don't switch often.
• Pace yourself: add intervals between batch tasks instead of chasing peak concurrency.
• Separate environments: keep experimental scripts on separate accounts from the ones you use daily, so experiments don't affect the real ones.
• Keep records: note which route and which region you changed each time, so you have something to check when a problem appears.

Route types and choosing a plan

The previous chapters covered how to use the service; this one covers what to use. Cross-border routes of the same nominal bandwidth differ mainly in congestion control and packet loss, not in the headline number.

How the three route types differ

The most expensive route type is not automatically the best one — what matters is matching your use case. The core requirement for AI chat is not dropping the connection mid-session, so favor routes with less congestion and lower packet loss; if you only look something up now and then, a direct route is enough. The full route list and region coverage are on the routes page.

Plans and data

Three monthly tiers: ¥9.9/month for 60GB, ¥18/month for 250GB, ¥28/month for 500GB. Data resets monthly on the day you subscribed, and upgrading mid-cycle converts the price difference into the remaining days. AI chat itself does not use much data — the bulk goes to client updates, code index syncing and file uploads; if you regularly sync projects with coding tools, start from the middle tier.

If your usage is concentrated in a shorter period, you can also pick a data pack: ¥158/300GB, ¥358/1000GB, ¥658/3000GB — use it until it runs out, it never expires. Data packs and monthly subscriptions can coexist: the former suits occasional high-intensity use, the latter suits daily use. Full plan details and comparisons are on the plans page.

Payment and refunds

Alipay / WeChat Pay / USDT are all supported. Within 14 days of your first payment you can request a full refund, no questions asked — the point of that promise is that testing the route quality yourself is more reliable than any description. Simultaneous devices are unlimited, so desktop, phone and tablet can all be used at once with no extra charge for more devices.

Troubleshooting checklist and FAQ

Many users who go looking for a cross-border network tool are really trying to solve something specific: an AI tool that won't open, an answer that stops halfway. Work through the checklist below and most cases can be diagnosed on your own.

Five-step troubleshooting checklist

1. Check the egress: confirm the current egress region and compare it with the last time things worked.
2. Switch routes within the region: rules out a single route's problem without changing the region signal.
3. Clear session state: clear the site's cookies and local storage once, then sign in again.
4. Check the client: make sure routing rules, DNS and IPv6 settings are not leaking requests to a direct connection.
5. Test in another environment: reproduce on a different device or network to tell whether the problem is local or on the route.

FAQ

More questions sorted by category are in the Help Center; if this page does not cover your situation, walk through the main flow again using the steps on the Guides page — most problems disappear after re-importing the subscription. Related hands-on write-ups are in the Streaming comparison and Account and subscription safety.