Files
pi-commandcode-provider/index.ts
T
2026-05-26 23:05:21 +02:00

66 lines
2.2 KiB
TypeScript

/**
* Command Code provider for pi.
*
* Connects pi to Command Code's API (https://api.commandcode.ai/alpha/generate).
*
* Authentication (pick one):
* 1. Run `/login`, then select Command Code — opens browser to commandcode.ai, auto-stores API key
* 2. Set COMMANDCODE_API_KEY environment variable
* 3. Place API key in `~/.commandcode/auth.json` or `~/.pi/agent/auth.json`
* as {"apiKey": "user_..."} or {"commandcode": "user_..."}
*
* Models are fetched from Command Code's Provider API at startup.
*/
import { calculateCost, createAssistantMessageEventStream } from "@mariozechner/pi-ai"
import type { ExtensionAPI } from "@mariozechner/pi-coding-agent"
import { COMMAND_CODE_CLI_VERSION, createStreamCommandCode, DEFAULT_API_BASE } from "./src/core.ts"
import { DEFAULT_MODELS_URL, fetchCommandCodeModels } from "./src/models.ts"
import { getApiKey, login, refreshToken } from "./src/oauth.ts"
const API_BASE = process.env.COMMANDCODE_API_BASE ?? DEFAULT_API_BASE
const MODELS_URL = process.env.COMMANDCODE_MODELS_URL ?? DEFAULT_MODELS_URL
const streamCommandCode = createStreamCommandCode({
createStream: createAssistantMessageEventStream,
calculateCost,
apiBase: API_BASE,
})
// ---------------------------------------------------------------------------
// Extension entry point
// ---------------------------------------------------------------------------
export default async function (pi: ExtensionAPI) {
const models = await fetchCommandCodeModels({ url: MODELS_URL })
pi.registerProvider("commandcode", {
name: "Command Code",
baseUrl: API_BASE,
apiKey: "COMMANDCODE_API_KEY",
authHeader: true,
api: "commandcode-custom",
streamSimple: streamCommandCode,
headers: {
"x-command-code-version": COMMAND_CODE_CLI_VERSION,
"x-cli-environment": "production",
},
oauth: {
name: "Command Code",
login,
refreshToken,
getApiKey,
},
models: models.map((model) => ({
id: model.id,
name: model.name,
reasoning: model.reasoning,
input: ["text"] as const,
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
contextWindow: model.contextWindow,
maxTokens: model.maxTokens,
})),
})
}