pi-commandcode-provider

A custom provider for pi that connects to the Command Code Provider API.

Disclaimer: This is an unofficial, community-maintained integration. It is not affiliated with, endorsed by, or supported by Command Code. You need your own Command Code account, API key, and a plan with Provider API access. Command Code's terms, availability, and pricing apply.

pi install npm:pi-commandcode-provider

Start or reload pi, then authenticate:

/login

Select Use a subscription, then Command Code. Choose browser login or paste an API key, then select a model with /model.

Install the same package in Oh My Pi:

omp plugin install pi-commandcode-provider

Restart OMP or run /reload, then use /login and select Use a subscription followed by Command Code.

Run /login in pi or OMP. Select Use a subscription, then Command Code. Press Enter for browser login, type key to open a paste prompt, or paste the API key directly. The selected credential is stored in the host's auth file.

If automatic transfer from the browser fails, copy the API key shown by Command Code and paste it into the terminal prompt.

export COMMAND_CODE_API_KEY="user_..."

The provider also reads existing credentials from:

• ~/.commandcode/auth.json
• ~/.pi/agent/auth.json
• ~/.omp/agent/auth.json

Supported examples:

{
  "apiKey": "user_..."
}

{
  "command-code": {
    "type": "api",
    "key": "user_..."
  }
}

{
  "commandcode": "user_..."
}

Open /model and select one of the models provided by Command Code. Model availability changes over time and is refreshed from the Provider API when the extension loads.

Reasoning capability and selectable effort levels follow the official CLI catalog independently. Models can therefore be marked as reasoning-capable even when Command Code chooses their depth automatically. Models with explicit effort support also register a model-specific thinkingLevelMap, so pi and OMP expose only valid levels. Pi's native OpenAI- and Anthropic-compatible providers translate the selected level for Provider API accounts; the existing Command Code generate transport sends the matching reasoning_effort for Go accounts.

List Command Code models from the terminal:

pi --list-models commandcode

In OMP, use:

omp models

For non-interactive OMP requests, use a provider-qualified model ID shown by omp models. For example:

omp -p "hello" --model commandcode/deepseek/deepseek-v4-flash

The provider fetches the current model catalog from:

https://api.commandcode.ai/provider/v1/models

The last successful catalog is cached at <agent-dir>/commandcode-models.json. For pi this is ~/.pi/agent/commandcode-models.json by default. Compatible hosts such as OMP use their own agent directory.

If the endpoint is temporarily unavailable, the provider uses the cached catalog. On a first offline start without a cache, pi still loads, but Command Code models remain unavailable until the connection is restored and /commandcode-refresh succeeds.

While pi is running, use these provider commands without restarting:

• /commandcode-refresh fetches and re-registers the current model catalog. Overlapping refreshes are coalesced, and a failed refresh keeps the last valid catalog active.
• /commandcode-status shows redacted discovery diagnostics, including the source, model count, timestamps, cache path, endpoint, and warning.
• /commandcode-quota shows your Command Code account usage and quota in a dashboard-style layout: credits remaining and used with a percentage, monthly/purchased/free sources, the current plan, available usage totals, the API key name, and the 5-hour and weekly usage windows.

The commandcode-quota command reads from the Command Code alpha usage endpoints (the same ones the cmd CLI /usage command uses): whoami, billing/credits, billing/subscriptions, and usage/summary. It authenticates with the same API key the provider already uses. If the command cannot reach those endpoints or an endpoint schema changes, unavailable sections are reported explicitly instead of being displayed as zero usage. Output is plain text (via ui.notify) so it works across pi and compatible hosts such as OMP.

Set CMD_ZDR=1 to send Command Code's documented x-cmd-zdr: 1 zero-data-retention header. The legacy COMMANDCODE_ZDR=1 alias remains supported.

The following environment variables are intended for tests, local mocks, and compatible API endpoints:

• COMMANDCODE_API_BASE
• COMMANDCODE_MODELS_URL
• COMMANDCODE_MODELS_CACHE
• COMMANDCODE_MODELS_TIMEOUT_MS (defaults to 10 seconds; invalid or non-positive values use the default)

The provider advertises image input only for models marked with the image input modality in the official Command Code CLI model catalog. The capability snapshot currently follows command-code@1.32.2; unknown models default to text-only until their upstream metadata is reviewed. A daily GitHub Actions job synchronizes the CLI version, image capabilities, reasoning flags, reasoning efforts, and model-specific output limits with the latest published CLI package and opens or updates a reviewable pull request when they change. Pricing remains manually reviewed because temporary promotions and long-context tiers require explicit review.

For vision-capable models, Pi's native provider adapters forward image blocks from user messages and tool results using the documented OpenAI or Anthropic message schema. Unknown and text-only models remain marked text-only in Pi.

The Command Code Provider API does not currently include prices in its model catalog. This extension therefore keeps a static table for models with known prices so pi can display estimated request costs. DeepSeek V4 uses time-dependent rates; pi displays the documented off-peak rate, which applies for 17 hours per day.

Models missing from that table display zero cost in pi. This does not mean that Command Code will bill the request at zero. The Command Code Usage page remains authoritative for each request. Check the current Command Code pricing before relying on the displayed value.

Update installed pi packages:

pi update --extensions

Remove the provider:

pi remove npm:pi-commandcode-provider

For OMP:

omp plugin upgrade pi-commandcode-provider
omp plugin uninstall pi-commandcode-provider

Start an isolated pi instance with only the current checkout installed and no existing Command Code credentials:

npm run pi:isolated

Run /login inside pi. Temporary credentials, configuration, and sessions are deleted when pi exits.

Start the current checkout with your existing pi credentials and only Command Code models in the model picker:

npm run pi:authenticated

Both commands accept additional pi arguments after --, for example npm run pi:authenticated -- --model claude-sonnet-4-6.

Keep Go-, GOAT-, and optional Provider-plan test keys in separate secret-manager entries. Pass them through protected files so the keys do not enter shell history:

COMMANDCODE_E2E_GO_API_KEY_FILE=/path/to/go-key \
  npm run test:e2e:live:go

COMMANDCODE_E2E_GOAT_API_KEY_FILE=/path/to/goat-key \
  npm run test:e2e:live:goat

COMMANDCODE_E2E_PROVIDER_API_KEY_FILE=/path/to/provider-key \
  npm run test:e2e:live:provider

COMMANDCODE_E2E_GO_API_KEY_FILE=/path/to/go-key \
COMMANDCODE_E2E_GOAT_API_KEY_FILE=/path/to/goat-key \
  npm run test:e2e:live:all

Each profile runs with an isolated Pi agent directory and asserts transport selection, reasoning across turns, quota plan identity, abort handling, tool calls, and the packed npm artifact. Go must select generate and reject unsupported images; GOAT must select provider and complete a live vision request. The profile-specific *_API_KEY environment variables are also supported for CI secrets, but key files are preferred for local use.

The Go profile defaults to DeepSeek V4 Flash; GOAT defaults to Grok 4.6 because its Provider API stream exposes reasoning consistently across consecutive turns. Override them with COMMANDCODE_E2E_GO_MODEL, COMMANDCODE_E2E_GOAT_MODEL, or COMMANDCODE_E2E_PROVIDER_MODEL. A successful live Anthropic /provider/v1/messages test requires a paid account whose plan includes the selected Claude model.

See CONTRIBUTING.md for local setup and tests. See RELEASE.md for the release process.

MIT