Add MiniMax (api.minimax.io) as a fifth LLM provider option alongside Anthropic, OpenAI, Gemini, and Codex. MiniMax offers an OpenAI-compatible Chat Completions API with the M2.5 model (204K context window). Changes: - lib/llm/minimax.mjs: new provider using raw fetch (no SDK) - lib/llm/index.mjs: register MiniMax in the factory - .env.example, crucix.config.mjs, README.md: document the new option - test/llm-minimax.test.mjs: 10 unit tests (node:test) - test/llm-minimax-integration.test.mjs: live API integration test Usage: LLM_PROVIDER=minimax LLM_API_KEY=sk-... LLM_MODEL=MiniMax-M2.5 # optional, this is the default
52 lines
1.4 KiB
JavaScript
52 lines
1.4 KiB
JavaScript
// MiniMax Provider — raw fetch, no SDK
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// Uses MiniMax's OpenAI-compatible Chat Completions API
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import { LLMProvider } from './provider.mjs';
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export class MiniMaxProvider extends LLMProvider {
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constructor(config) {
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super(config);
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this.name = 'minimax';
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this.apiKey = config.apiKey;
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this.model = config.model || 'MiniMax-M2.5';
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}
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get isConfigured() { return !!this.apiKey; }
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async complete(systemPrompt, userMessage, opts = {}) {
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const res = await fetch('https://api.minimax.io/v1/chat/completions', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Authorization': `Bearer ${this.apiKey}`,
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},
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body: JSON.stringify({
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model: this.model,
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max_tokens: opts.maxTokens || 4096,
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messages: [
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{ role: 'system', content: systemPrompt },
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{ role: 'user', content: userMessage },
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],
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}),
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signal: AbortSignal.timeout(opts.timeout || 60000),
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});
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if (!res.ok) {
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const err = await res.text().catch(() => '');
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throw new Error(`MiniMax API ${res.status}: ${err.substring(0, 200)}`);
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}
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const data = await res.json();
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const text = data.choices?.[0]?.message?.content || '';
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return {
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text,
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usage: {
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inputTokens: data.usage?.prompt_tokens || 0,
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outputTokens: data.usage?.completion_tokens || 0,
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},
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model: data.model || this.model,
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};
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}
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}
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