If you already use Claude Code, Codex, OpenCode, Kimi Code, or another bring-your-own-provider coding client, this guide shows how to avoid tying every development task to one model or protocol. The current AceDataCloud Coding Plan starts with Coding Plus at $14.645677 for 500 promotional Credits over 30 days (a ¥99 display anchor). That total includes 400 base Credits plus a 100-Credit limited-time bonus through November 30, 2026, UTC+8.
This is a metered, fixed-term API package—not an official Claude, OpenAI, or other vendor membership, and not unlimited usage. Credits are deducted according to usage, including relevant input, output, cache-write, and cache-read metering.
Start with the protocol, not the model name
A common setup mistake is choosing a model first and assuming every client can call it. A safer order is:
- Identify the protocol your client supports.
- Confirm that the Coding Application credential has the matching API scope.
- Select a currently listed model compatible with both.
- Run a minimal request before allowing repository-wide agent work.
Coding Plan currently exposes three useful protocol families:
- Claude Messages, including token counting, for clients built around Anthropic-style Messages.
- OpenAI Responses for tools designed for the newer Responses workflow.
- OpenAI-compatible Chat Completions, with endpoints for model ecosystems including GPT/Codex, Claude, GLM, Kimi, and DeepSeek.
That distinction matters. “The model appears in a catalog” does not prove that your credential, endpoint, and client form a supported combination.
A task-routing policy that controls spend
Do not make the most expensive capable model your global default. Route by uncertainty and blast radius instead:
| Work type | Suggested tier | Why |
|---|---|---|
| Formatting, comments, small tests | Fast/efficient model | Low-risk, easy to verify locally |
| Routine implementation | General coding model | Balance reasoning depth and Credit use |
| Cross-file debugging or migration planning | Strong reasoning model | More context and dependency analysis |
| Final security or architecture review | Second model family | Independent review can expose different assumptions |
For example, let an efficient GLM, Kimi, or DeepSeek option draft repetitive tests, use a GPT/Codex or Claude model for a difficult refactor, then ask a different family to review the patch. These are routing examples, not a claim that every listed client supports every family. Check the live catalog and your client's protocol first.
This policy also creates a useful escalation rule: start cheap, run tests, and move up only when the lower tier fails a defined acceptance check. Model switching becomes an engineering decision rather than a habit.
Verify the live model catalog
Create a Coding Application in the AceDataCloud console and use its token as a placeholder below. Do not commit the token to your repository.
export ACE_CODING_TOKEN="YOUR_API_TOKEN" curl -sS https://api.acedata.cloud/v1/models \ -H "Authorization: Bearer $ACE_CODING_TOKEN" Use the returned id as the API model value. It is a model name, not a service, API, or Application UUID.
There is an important boundary: /v1/models is a global directory and is not automatically filtered to your Coding credential. Before configuring a client, cross-check the chosen ID against:
- the credential's API scope or
allowed_api_ids; - the protocol required by the client;
- the client's own custom-provider limitations.
The Coding Plan integration center links dedicated instructions for Claude Code, Codex, OpenCode, Kimi Code, OpenClaw, Cline, Continue, Aider, Cursor, and other clients. Follow the client-specific page rather than copying environment variables from an unrelated tool.
Run a minimal protocol check
Before an agent reads a large repository, validate authentication and model selection with a small call. For an OpenAI-compatible Chat Completions route, the request shape is:
curl -sS https://api.acedata.cloud/openai/chat/completions \ -H "Authorization: Bearer $ACE_CODING_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "model": "MODEL_ID_FROM_CATALOG", "messages": [ {"role": "user", "content": "Return exactly: coding-plan-ok"} ] }' For a Claude-native client, use its documented Claude Messages configuration instead. For Codex-style workflows that require Responses, use the documented OpenAI Responses route. Do not silently substitute Chat Completions just because its JSON looks familiar; tool calling and agent behavior can depend on protocol semantics.
A successful smoke test should confirm all four conditions:
- HTTP authentication succeeds;
- the model ID is accepted;
- the response follows the expected protocol shape;
- your Coding Application balance changes as expected.
Then test the actual client in a disposable repository: ask it to change one function, inspect the diff, run the test suite, and confirm that restarting the client preserves the configured base URL and model.
Choose a plan from measured usage
All four current tiers have the same Coding model access scope; the difference is the Credit allowance. Coding Plus is therefore a sensible starting point for occasional work rather than a restricted model tier.
Under the current promotion, its effective package cost is:
$14.645677 / 500 Credits = $0.029291354 per Credit That figure is useful for internal budgeting, but it is not a model-token price by itself. Actual consumption varies with the selected model, context size, output, caching, tools, and parallel agent loops.
Track Credits per completed task for a week. Label each task as small, routine, or complex, and record retries. You can then estimate a monthly package from your own workflow rather than converting Credits into an unreliable fixed number of prompts.
Renewing before expiry carries remaining Credits forward and extends validity by 30 days. If the term expires first, unused Credits expire; a later purchase starts a new term, and there is no automatic renewal.
Practical rollout checklist
- Pick one client and its native protocol.
- Create a Coding Application credential with the required scope.
- Query the live model directory.
- Run a one-line API smoke test.
- Test a small repository change and inspect the diff.
- Define escalation rules for difficult tasks.
- Review Credit usage before increasing the plan size.
The value of a multi-model coding package is not “use every model everywhere.” It is keeping a familiar client while making protocol-aware model choice and budget escalation explicit.
See the current Coding Plan product and pricing page for available packages. Technical and plan details in this article are sourced from Ace Data Cloud's Coding Plan configuration guide, ¥99 plan explainer, and multi-subscription overview.
