Merge pull request #590 from mneves75/feat/minimax-anthropic-api
feat: Add MiniMax Anthropic-compatible API support (minimax-api)
This commit is contained in:
@@ -12,6 +12,7 @@
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- Discord: fix forum thread starters and cache channel lookups for thread context. (#585) — thanks @thewilloftheshadow
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- Commands: accept /models as an alias for /model.
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- Commands: add `/usage` as an alias for `/status`. (#492) — thanks @lc0rp
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- Models/Auth: add MiniMax Anthropic-compatible API onboarding (minimax-api). (#590) — thanks @mneves75
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- Commands: harden slash command registry and list text-only commands in `/commands`.
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- Models/Auth: show per-agent auth candidates in `/model status`, and add `clawdbot models auth order {get,set,clear}` (per-agent auth rotation overrides). — thanks @steipete
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- Debugging: add raw model stream logging flags and document gateway watch mode.
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@@ -1464,6 +1464,67 @@ Notes:
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- Responses API enables clean reasoning/output separation; WhatsApp sees only final text.
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- Adjust `contextWindow`/`maxTokens` if your LM Studio context length differs.
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### MiniMax API (platform.minimax.io)
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Use MiniMax's Anthropic-compatible API directly without LM Studio:
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```json5
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{
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agent: {
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model: { primary: "minimax/MiniMax-M2.1" },
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models: {
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"anthropic/claude-opus-4-5": { alias: "Opus" },
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"minimax/MiniMax-M2.1": { alias: "Minimax" }
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}
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},
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models: {
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mode: "merge",
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providers: {
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minimax: {
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baseUrl: "https://api.minimax.io/anthropic",
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apiKey: "${MINIMAX_API_KEY}",
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api: "anthropic-messages",
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models: [
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{
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id: "MiniMax-M2.1",
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name: "MiniMax M2.1",
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reasoning: false,
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input: ["text"],
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// Pricing: MiniMax doesn't publish public rates. Override in models.json for accurate costs.
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cost: { input: 15, output: 60, cacheRead: 2, cacheWrite: 10 },
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contextWindow: 200000,
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maxTokens: 8192
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},
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{
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id: "MiniMax-M2.1-lightning",
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name: "MiniMax M2.1 Lightning",
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reasoning: false,
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input: ["text"],
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cost: { input: 15, output: 60, cacheRead: 2, cacheWrite: 10 },
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contextWindow: 200000,
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maxTokens: 8192
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},
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{
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id: "MiniMax-M2",
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name: "MiniMax M2",
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reasoning: true,
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input: ["text"],
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cost: { input: 15, output: 60, cacheRead: 2, cacheWrite: 10 },
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contextWindow: 200000,
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maxTokens: 8192
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}
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]
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}
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}
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}
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}
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```
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Notes:
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- Set `MINIMAX_API_KEY` environment variable or use `clawdbot onboard --auth-choice minimax-api`
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- Available models: `MiniMax-M2.1` (default), `MiniMax-M2.1-lightning` (~100 tps), `MiniMax-M2` (reasoning)
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- Pricing is a placeholder; MiniMax doesn't publish public rates. Override in `models.json` for accurate cost tracking.
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Notes:
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- Supported APIs: `openai-completions`, `openai-responses`, `anthropic-messages`,
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`google-generative-ai`
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@@ -3,7 +3,7 @@ import { describe, expect, it } from "vitest";
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const MINIMAX_KEY = process.env.MINIMAX_API_KEY ?? "";
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const MINIMAX_BASE_URL =
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process.env.MINIMAX_BASE_URL?.trim() || "https://api.minimax.io/v1";
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process.env.MINIMAX_BASE_URL?.trim() || "https://api.minimax.io/anthropic";
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const MINIMAX_MODEL = process.env.MINIMAX_MODEL?.trim() || "MiniMax-M2.1";
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const LIVE = process.env.MINIMAX_LIVE_TEST === "1" || process.env.LIVE === "1";
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@@ -11,15 +11,16 @@ const describeLive = LIVE && MINIMAX_KEY ? describe : describe.skip;
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describeLive("minimax live", () => {
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it("returns assistant text", async () => {
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const model: Model<"openai-completions"> = {
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const model: Model<"anthropic-messages"> = {
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id: MINIMAX_MODEL,
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name: `MiniMax ${MINIMAX_MODEL}`,
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api: "openai-completions",
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api: "anthropic-messages",
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provider: "minimax",
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baseUrl: MINIMAX_BASE_URL,
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reasoning: false,
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reasoning: MINIMAX_MODEL === "MiniMax-M2",
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input: ["text"],
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
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// Pricing: placeholder values (per 1M tokens, multiplied by 1000 for display)
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cost: { input: 15, output: 60, cacheRead: 2, cacheWrite: 10 },
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contextWindow: 200000,
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maxTokens: 8192,
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};
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@@ -101,6 +101,10 @@ export function buildAuthChoiceOptions(params: {
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// Token flow is currently Anthropic-only; use CLI for advanced providers.
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options.push({ value: "minimax-cloud", label: "MiniMax M2.1 (minimax.io)" });
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options.push({ value: "minimax", label: "Minimax M2.1 (LM Studio)" });
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options.push({
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value: "minimax-api",
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label: "MiniMax API (platform.minimax.io)",
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});
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if (params.includeSkip) {
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options.push({ value: "skip", label: "Skip for now" });
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}
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@@ -36,6 +36,8 @@ import {
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} from "./google-gemini-model-default.js";
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import {
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applyAuthProfileConfig,
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applyMinimaxApiConfig,
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applyMinimaxApiProviderConfig,
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applyMinimaxConfig,
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applyMinimaxHostedConfig,
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applyMinimaxHostedProviderConfig,
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@@ -629,6 +631,24 @@ export async function applyAuthChoice(params: {
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agentModelOverride = "lmstudio/minimax-m2.1-gs32";
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await noteAgentModel("lmstudio/minimax-m2.1-gs32");
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}
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} else if (params.authChoice === "minimax-api") {
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const key = await params.prompter.text({
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message: "Enter MiniMax API key",
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validate: (value) => (value?.trim() ? undefined : "Required"),
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});
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await setMinimaxApiKey(String(key).trim(), params.agentDir);
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nextConfig = applyAuthProfileConfig(nextConfig, {
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profileId: "minimax:default",
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provider: "minimax",
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mode: "api_key",
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});
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if (params.setDefaultModel) {
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nextConfig = applyMinimaxApiConfig(nextConfig);
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} else {
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nextConfig = applyMinimaxApiProviderConfig(nextConfig);
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agentModelOverride = "minimax/MiniMax-M2.1";
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await noteAgentModel("minimax/MiniMax-M2.1");
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}
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}
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return { config: nextConfig, agentModelOverride };
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@@ -7,6 +7,8 @@ import { afterEach, describe, expect, it } from "vitest";
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import {
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applyAuthProfileConfig,
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applyMinimaxApiConfig,
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applyMinimaxApiProviderConfig,
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writeOAuthCredentials,
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} from "./onboard-auth.js";
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@@ -105,3 +107,146 @@ describe("applyAuthProfileConfig", () => {
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]);
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});
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});
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describe("applyMinimaxApiConfig", () => {
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it("adds minimax provider with correct settings", () => {
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const cfg = applyMinimaxApiConfig({});
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expect(cfg.models?.providers?.minimax).toMatchObject({
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baseUrl: "https://api.minimax.io/anthropic",
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api: "anthropic-messages",
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});
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});
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it("sets correct primary model", () => {
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const cfg = applyMinimaxApiConfig({}, "MiniMax-M2.1-lightning");
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expect(cfg.agents?.defaults?.model?.primary).toBe(
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"minimax/MiniMax-M2.1-lightning",
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);
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});
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it("sets reasoning flag for MiniMax-M2 model", () => {
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const cfg = applyMinimaxApiConfig({}, "MiniMax-M2");
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expect(cfg.models?.providers?.minimax?.models[0]?.reasoning).toBe(true);
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});
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it("does not set reasoning for non-M2 models", () => {
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const cfg = applyMinimaxApiConfig({}, "MiniMax-M2.1");
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expect(cfg.models?.providers?.minimax?.models[0]?.reasoning).toBe(false);
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});
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it("preserves existing model fallbacks", () => {
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const cfg = applyMinimaxApiConfig({
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agents: {
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defaults: {
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model: { fallbacks: ["anthropic/claude-opus-4-5"] },
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},
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},
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});
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expect(cfg.agents?.defaults?.model?.fallbacks).toEqual([
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"anthropic/claude-opus-4-5",
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]);
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});
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it("adds model alias", () => {
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const cfg = applyMinimaxApiConfig({}, "MiniMax-M2.1");
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expect(cfg.agents?.defaults?.models?.["minimax/MiniMax-M2.1"]?.alias).toBe(
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"Minimax",
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);
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});
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it("preserves existing model params when adding alias", () => {
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const cfg = applyMinimaxApiConfig(
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{
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agents: {
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defaults: {
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models: {
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"minimax/MiniMax-M2.1": {
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alias: "MiniMax",
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params: { custom: "value" },
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},
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},
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},
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},
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},
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"MiniMax-M2.1",
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);
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expect(
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cfg.agents?.defaults?.models?.["minimax/MiniMax-M2.1"],
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).toMatchObject({ alias: "Minimax", params: { custom: "value" } });
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});
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it("replaces existing minimax provider entirely", () => {
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const cfg = applyMinimaxApiConfig({
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models: {
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providers: {
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minimax: {
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baseUrl: "https://old.example.com",
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apiKey: "old-key",
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api: "openai-completions",
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models: [
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{
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id: "old-model",
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name: "Old",
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reasoning: false,
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input: ["text"],
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cost: { input: 1, output: 2, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 1000,
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maxTokens: 100,
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},
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],
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},
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},
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},
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});
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expect(cfg.models?.providers?.minimax?.baseUrl).toBe(
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"https://api.minimax.io/anthropic",
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);
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expect(cfg.models?.providers?.minimax?.api).toBe("anthropic-messages");
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expect(cfg.models?.providers?.minimax?.models[0]?.id).toBe("MiniMax-M2.1");
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});
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it("preserves other providers when adding minimax", () => {
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const cfg = applyMinimaxApiConfig({
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models: {
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providers: {
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anthropic: {
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baseUrl: "https://api.anthropic.com",
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apiKey: "anthropic-key",
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api: "anthropic-messages",
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models: [
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{
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id: "claude-opus-4-5",
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name: "Claude Opus 4.5",
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reasoning: false,
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input: ["text"],
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cost: { input: 15, output: 75, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 200000,
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maxTokens: 8192,
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},
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],
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},
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},
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},
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});
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expect(cfg.models?.providers?.anthropic).toBeDefined();
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expect(cfg.models?.providers?.minimax).toBeDefined();
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});
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it("preserves existing models mode", () => {
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const cfg = applyMinimaxApiConfig({
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models: { mode: "replace", providers: {} },
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});
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expect(cfg.models?.mode).toBe("replace");
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});
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});
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describe("applyMinimaxApiProviderConfig", () => {
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it("does not overwrite existing primary model", () => {
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const cfg = applyMinimaxApiProviderConfig({
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agents: { defaults: { model: { primary: "anthropic/claude-opus-4-5" } } },
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});
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expect(cfg.agents?.defaults?.model?.primary).toBe(
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"anthropic/claude-opus-4-5",
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);
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});
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});
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@@ -263,3 +263,73 @@ export function applyMinimaxHostedConfig(
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},
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};
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}
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// MiniMax Anthropic-compatible API (platform.minimax.io/anthropic)
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export function applyMinimaxApiProviderConfig(
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cfg: ClawdbotConfig,
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modelId: string = "MiniMax-M2.1",
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): ClawdbotConfig {
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const providers = { ...cfg.models?.providers };
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providers.minimax = {
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baseUrl: "https://api.minimax.io/anthropic",
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apiKey: "", // Resolved via MINIMAX_API_KEY env var or auth profile
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api: "anthropic-messages",
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models: [
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{
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id: modelId,
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name: `MiniMax ${modelId}`,
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reasoning: modelId === "MiniMax-M2",
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input: ["text"],
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// Pricing: MiniMax doesn't publish public rates. Override in models.json for accurate costs.
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cost: { input: 15, output: 60, cacheRead: 2, cacheWrite: 10 },
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contextWindow: 200000,
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maxTokens: 8192,
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},
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],
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};
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const models = { ...cfg.agents?.defaults?.models };
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models[`minimax/${modelId}`] = {
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...models[`minimax/${modelId}`],
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alias: "Minimax",
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};
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return {
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...cfg,
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agents: {
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...cfg.agents,
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defaults: {
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...cfg.agents?.defaults,
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models,
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},
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},
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models: { mode: cfg.models?.mode ?? "merge", providers },
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};
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}
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export function applyMinimaxApiConfig(
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cfg: ClawdbotConfig,
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modelId: string = "MiniMax-M2.1",
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): ClawdbotConfig {
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const next = applyMinimaxApiProviderConfig(cfg, modelId);
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return {
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...next,
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agents: {
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...next.agents,
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defaults: {
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...next.agents?.defaults,
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model: {
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...(next.agents?.defaults?.model &&
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"fallbacks" in (next.agents.defaults.model as Record<string, unknown>)
|
||||
? {
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fallbacks: (
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next.agents.defaults.model as { fallbacks?: string[] }
|
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).fallbacks,
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}
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: undefined),
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primary: `minimax/${modelId}`,
|
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},
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||||
},
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||||
},
|
||||
};
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||||
}
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@@ -1,14 +1,10 @@
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import { spawnSync } from "node:child_process";
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import path from "node:path";
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import {
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CLAUDE_CLI_PROFILE_ID,
|
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CODEX_CLI_PROFILE_ID,
|
||||
ensureAuthProfileStore,
|
||||
upsertAuthProfile,
|
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} from "../agents/auth-profiles.js";
|
||||
import { resolveEnvApiKey } from "../agents/model-auth.js";
|
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import { normalizeProviderId } from "../agents/model-selection.js";
|
||||
import { parseDurationMs } from "../cli/parse-duration.js";
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import {
|
||||
type ClawdbotConfig,
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CONFIG_PATH_CLAWDBOT,
|
||||
@@ -33,6 +29,7 @@ import { applyGoogleGeminiModelDefault } from "./google-gemini-model-default.js"
|
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import { healthCommand } from "./health.js";
|
||||
import {
|
||||
applyAuthProfileConfig,
|
||||
applyMinimaxApiConfig,
|
||||
applyMinimaxConfig,
|
||||
applyMinimaxHostedConfig,
|
||||
setAnthropicApiKey,
|
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@@ -177,6 +174,21 @@ export async function runNonInteractiveOnboarding(
|
||||
mode: "api_key",
|
||||
});
|
||||
nextConfig = applyMinimaxHostedConfig(nextConfig);
|
||||
} else if (authChoice === "minimax-api") {
|
||||
const key =
|
||||
opts.minimaxApiKey?.trim() || resolveEnvApiKey("minimax")?.apiKey;
|
||||
if (!key) {
|
||||
runtime.error("Missing --minimax-api-key (or MINIMAX_API_KEY in env).");
|
||||
runtime.exit(1);
|
||||
return;
|
||||
}
|
||||
await setMinimaxApiKey(key);
|
||||
nextConfig = applyAuthProfileConfig(nextConfig, {
|
||||
profileId: "minimax:default",
|
||||
provider: "minimax",
|
||||
mode: "api_key",
|
||||
});
|
||||
nextConfig = applyMinimaxApiConfig(nextConfig);
|
||||
} else if (authChoice === "claude-cli") {
|
||||
const store = ensureAuthProfileStore(undefined, {
|
||||
allowKeychainPrompt: false,
|
||||
@@ -210,82 +222,18 @@ export async function runNonInteractiveOnboarding(
|
||||
nextConfig = applyOpenAICodexModelDefault(nextConfig).next;
|
||||
} else if (authChoice === "minimax") {
|
||||
nextConfig = applyMinimaxConfig(nextConfig);
|
||||
} else if (authChoice === "setup-token" || authChoice === "oauth") {
|
||||
if (!process.stdin.isTTY) {
|
||||
runtime.error("`claude setup-token` requires an interactive TTY.");
|
||||
runtime.exit(1);
|
||||
return;
|
||||
}
|
||||
|
||||
const res = spawnSync("claude", ["setup-token"], { stdio: "inherit" });
|
||||
if (res.error) throw res.error;
|
||||
if (typeof res.status === "number" && res.status !== 0) {
|
||||
runtime.error(`claude setup-token failed (exit ${res.status})`);
|
||||
runtime.exit(1);
|
||||
return;
|
||||
}
|
||||
|
||||
const store = ensureAuthProfileStore(undefined, {
|
||||
allowKeychainPrompt: true,
|
||||
});
|
||||
if (!store.profiles[CLAUDE_CLI_PROFILE_ID]) {
|
||||
runtime.error(
|
||||
`No Claude CLI credentials found after setup-token. Expected auth profile ${CLAUDE_CLI_PROFILE_ID}.`,
|
||||
);
|
||||
runtime.exit(1);
|
||||
return;
|
||||
}
|
||||
|
||||
nextConfig = applyAuthProfileConfig(nextConfig, {
|
||||
profileId: CLAUDE_CLI_PROFILE_ID,
|
||||
provider: "anthropic",
|
||||
mode: "token",
|
||||
});
|
||||
} else if (authChoice === "token") {
|
||||
const providerRaw = opts.tokenProvider?.trim();
|
||||
const tokenRaw = opts.token?.trim();
|
||||
if (!providerRaw) {
|
||||
runtime.error(
|
||||
"Missing --token-provider (required for --auth-choice token).",
|
||||
);
|
||||
runtime.exit(1);
|
||||
return;
|
||||
}
|
||||
if (!tokenRaw) {
|
||||
runtime.error("Missing --token (required for --auth-choice token).");
|
||||
runtime.exit(1);
|
||||
return;
|
||||
}
|
||||
|
||||
const provider = normalizeProviderId(providerRaw);
|
||||
const profileId = (
|
||||
opts.tokenProfileId?.trim() || `${provider}:manual`
|
||||
).trim();
|
||||
const expires =
|
||||
opts.tokenExpiresIn?.trim() && opts.tokenExpiresIn.trim().length > 0
|
||||
? Date.now() +
|
||||
parseDurationMs(String(opts.tokenExpiresIn).trim(), {
|
||||
defaultUnit: "d",
|
||||
})
|
||||
: undefined;
|
||||
|
||||
upsertAuthProfile({
|
||||
profileId,
|
||||
credential: {
|
||||
type: "token",
|
||||
provider,
|
||||
token: tokenRaw,
|
||||
...(expires ? { expires } : {}),
|
||||
},
|
||||
});
|
||||
nextConfig = applyAuthProfileConfig(nextConfig, {
|
||||
profileId,
|
||||
provider,
|
||||
mode: "token",
|
||||
});
|
||||
} else if (authChoice === "openai-codex" || authChoice === "antigravity") {
|
||||
} else if (
|
||||
authChoice === "token" ||
|
||||
authChoice === "oauth" ||
|
||||
authChoice === "openai-codex" ||
|
||||
authChoice === "antigravity"
|
||||
) {
|
||||
const label =
|
||||
authChoice === "antigravity" ? "Antigravity" : "OpenAI Codex OAuth";
|
||||
authChoice === "antigravity"
|
||||
? "Antigravity"
|
||||
: authChoice === "token"
|
||||
? "Token"
|
||||
: "OAuth";
|
||||
runtime.error(`${label} requires interactive mode.`);
|
||||
runtime.exit(1);
|
||||
return;
|
||||
|
||||
@@ -16,6 +16,7 @@ export type AuthChoice =
|
||||
| "gemini-api-key"
|
||||
| "minimax-cloud"
|
||||
| "minimax"
|
||||
| "minimax-api"
|
||||
| "skip";
|
||||
export type GatewayAuthChoice = "off" | "token" | "password";
|
||||
export type ResetScope = "config" | "config+creds+sessions" | "full";
|
||||
|
||||
Reference in New Issue
Block a user