What does this solve?
Question «Claude Code in Russia" appears at the second step: the program has been installed, claude --version prints the number and /login ends with an error or the card does not go through during payment. There are three barriers here, they are structured differently and are treated differently, and half of the advice from the Internet leads to the closure of the account along with the history and balance. The analysis below separates what technically does not work, from what works but violates the conditions, and from what remains a working option for a long time.
How it works
Barrier one: service region
The service has a list of supported countries, and Russia and Belarus are not included in it. This is a condition of the contract, not a technical setting: using a service from an unsupported region violates the terms of service, regardless of how you connected. The consequence is spelled out there - suspension or closure of the account, without returning the balance and without transferring the history.
Barrier two: technical geocontrol
Checks are made at registration, at login and on API calls. In practice, this looks like a refusal when creating an account, a refusal when confirming a phone number, or a response with code 403 and text about an unsupported region on a regular API request.
Barrier three: payment
Write off through international acquiring. Cards issued by Russian banks do not go through. This is a separate barrier: even an account created legally is limited by the inability to pay for a subscription or top up the balance.
What is not blocked?
The CLI itself. The program is installed and launched anywhere: it is a client that goes to the address from the environment variables. Inside it are specified ANTHROPIC_BASE_URL (where to knock), ANTHROPIC_AUTH_TOKEN (how to log in) and ANTHROPIC_MODEL (what to ask for). Restrictions live on the side of the service and payment circuit, and not in the binary on disk. Part of the working paths grows from here.
Why geoblock bypass schemes do not solve the problem
VPN plus someone else’s card or an account purchased from an intermediary gives access for an indefinite period: until the first verification, until payment data is changed, until suspicious activity. The account is closed along with the history, paid period and balance; appeals for violation of conditions do not work. For personal experiments, this is a personal risk. For a company where an agent is involved workflow or CI - guaranteed downtime at an unknown moment, plus a separate conversation with accounting about the nature of the payment to the intermediary.
How to connect
Paths that are not built on cheating checks.
1. Real presence beyond the limited contour
Foreign legal entity or personal residence with real address, account and card. It works normally because there is no need to bypass any checks. The sanctions and currency contours change, so a specific scheme is checked with a lawyer and accountant before, rather than after, payment. There is no general recipe here and cannot be.
2. Access via employer or customer
If a company outside the perimeter issues a corporate account or a place in the team plan, it controls access, including data and jurisdiction rules. Restrictions on the region do not go away and remain the responsibility of the account owner.
3. Cloud Gateways
Amazon Bedrock and Google Vertex AI are directly supported by the client:
export CLAUDE_CODE_USE_BEDROCK=1 # плюс AWS-креды и регион
export CLAUDE_CODE_USE_VERTEX=1 # плюс проект и регион GCPThe invoice is sent to the cloud provider. The rules for accessing the cloud itself are its own, and for the Russian circuit they are no softer.
4. Change model under the same client
CLI remains, the engine changes. Some providers provide an endpoint that is compatible in request format - then the switching is done by three variables:
export ANTHROPIC_BASE_URL=https://<адрес-провайдера>
export ANTHROPIC_AUTH_TOKEN=<ключ провайдера>
export ANTHROPIC_MODEL=<идентификатор модели>The same values are placed in the block env in .claude/settings.jsonso that the setting lives in the project and does not depend on the shell profile. A proxy gateway (a class of tools like LiteLLM) is placed between the client and any set of models, which brings the formats to the same form and keeps the keys in one place. The extreme case is a local model on your machine through the same compatible proxy.
5. Another agent in the terminal
A separate class of instruments with similar operating mechanics. The developments are transferred: project rules, scripts, tool descriptions - regular files in the repository.
What to do anyway
Keep the process portable. CLAUDE.md, catalog .claude/, MCP server configurations and skills - text files under version control. As long as working agreements live in the repository, and not in the head or in the history of one account, changing the engine costs an evening, not a month.
Useful scripts
- Personal experiments without any connection to processes: compatible endpoint from a third-party provider, payment in an available currency, switching of three environment variables.
- Team with a foreign legal entity: regular subscription or seats, payment from a corporate account, the issue is completely closed.
- Company with data jurisdiction requirement: cloud gateway, access and billing within an already agreed upon contract with the cloud provider.
- Private code that cannot be shared outside: a local model through a compatible proxy, with a conscious loss of quality on long agent chains.
- Mixed option: a single gateway with several providers behind, model switching without changes to the project.
- Preparation for the move: put all the rules and prompts into the repository files in advance, so that changing the provider does not delay the rewriting of work processes.
Limitations
Intermediary payment schemes and resale of accounts do not provide guarantees, support, or a predictable lifespan. Build a workflow with CI and the team on them - build downtime into the schedule.
Format compatible endpoint does not mean the same model. The request format is the same, the behavior in long agent chains is different: where one model brings refactoring to green tests, the other gets stuck in the third step. You need to check this on your own task, and not using benchmarks.
Any third-party gateway sees the contents of requests - that is, code, paths, pieces of configs and data that the agent read. For a commercial project, this is a separate decision with a risk assessment, and not a technical detail.
The legal side is changing. Sanctions and currency rules are being revised, and yesterday's working payment scheme turns out to be a violation today. The payer bears responsibility for compliance; the reference article does not relieve it.
Bypass designs do not have support or SLA: when the gateway responds with 500, there is nowhere to turn.
One line rule: do not build a workflow on a scheme that breaks during the first account check - keep the project rules in files and know in advance what to switch to.
How to check the result
The first step is to determine which barrier was triggered. One request:
curl -i https://api.anthropic.com/v1/messages \
-H "x-api-key: $ANTHROPIC_API_KEY" \
-H "anthropic-version: 2023-06-01" \
-H "content-type: application/json" \
-d '{"model":"<модель>","max_tokens":16,"messages":[{"role":"user","content":"ping"}]}'Read not the code itself, but the error text. Mentioning a region or country is geocontrol, and it can only be treated by legally changing the contour. The message about authentication is a question for the key. A message about balance or billing is a payment barrier, but access is technically open.
After switching to a third-party endpoint, check that the client actually goes there:
env | grep ANTHROPIC
claude
/status/status shows the active model and access source - if the previous value remains there, the variables were not picked up from the profile or are overwhelmed by the content settings.json.
Last test - working, on a real repository. Give one meaningful task with several steps: find a place in the code, make an edit, run tests, fix a crash. View git diff and the number of moves. It is precisely this kind of task that shows whether the chosen engine is suitable for everyday work - almost anyone can handle short questions like “explain the function.”