diff --git a/.env.example b/.env.example index 00b6683..3585dbb 100644 --- a/.env.example +++ b/.env.example @@ -31,12 +31,12 @@ REFRESH_INTERVAL_MINUTES=15 # === LLM Layer (optional) === # Enables AI-enhanced trade ideas and breaking news Telegram alerts. -# Provider options: anthropic | openai | gemini | codex +# Provider options: anthropic | openai | gemini | codex | minimax LLM_PROVIDER= # Not needed for codex (uses ~/.codex/auth.json) LLM_API_KEY= # Optional override. Each provider has a sensible default: -# anthropic: claude-sonnet-4-6 | openai: gpt-5.4 | gemini: gemini-3.1-pro | codex: gpt-5.3-codex +# anthropic: claude-sonnet-4-6 | openai: gpt-5.4 | gemini: gemini-3.1-pro | codex: gpt-5.3-codex | minimax: MiniMax-M2.5 LLM_MODEL= # === Telegram Alerts (optional, requires LLM) === diff --git a/README.md b/README.md index 875a86d..4edc9f6 100644 --- a/README.md +++ b/README.md @@ -148,10 +148,10 @@ Alerts are delivered as rich embeds with color-coded sidebars: red for FLASH, ye **Optional dependency:** The full bot requires `discord.js`. Install it with `npm install discord.js`. If it's not installed, Crucix automatically falls back to webhook-only mode. ### Optional LLM Layer -Connect any of 4 LLM providers for enhanced analysis: +Connect any of 5 LLM providers for enhanced analysis: - **AI trade ideas** — quantitative analyst producing 5-8 actionable ideas citing specific data - **Smarter alert evaluation** — LLM classifies signals into FLASH/PRIORITY/ROUTINE tiers with cross-domain correlation and confidence scoring -- Providers: Anthropic Claude, OpenAI, Google Gemini, OpenAI Codex (ChatGPT subscription) +- Providers: Anthropic Claude, OpenAI, Google Gemini, OpenAI Codex (ChatGPT subscription), MiniMax - Graceful fallback — when LLM is unavailable, a rule-based engine takes over alert evaluation. LLM failures never crash the sweep cycle. --- @@ -184,7 +184,7 @@ These three unlock the most valuable economic and satellite data. Each takes abo ### LLM Provider (optional, for AI-enhanced ideas) -Set `LLM_PROVIDER` to one of: `anthropic`, `openai`, `gemini`, `codex` +Set `LLM_PROVIDER` to one of: `anthropic`, `openai`, `gemini`, `codex`, `minimax` | Provider | Key Required | Default Model | |----------|-------------|---------------| @@ -192,6 +192,7 @@ Set `LLM_PROVIDER` to one of: `anthropic`, `openai`, `gemini`, `codex` | `openai` | `LLM_API_KEY` | gpt-5.4 | | `gemini` | `LLM_API_KEY` | gemini-3.1-pro | | `codex` | None (uses `~/.codex/auth.json`) | gpt-5.3-codex | +| `minimax` | `LLM_API_KEY` | MiniMax-M2.5 | For Codex, run `npx @openai/codex login` to authenticate via your ChatGPT subscription. @@ -261,12 +262,13 @@ crucix/ │ └── jarvis.html # Self-contained Jarvis HUD │ ├── lib/ -│ ├── llm/ # LLM abstraction (4 providers, raw fetch, no SDKs) +│ ├── llm/ # LLM abstraction (5 providers, raw fetch, no SDKs) │ │ ├── provider.mjs # Base class │ │ ├── anthropic.mjs # Claude │ │ ├── openai.mjs # GPT │ │ ├── gemini.mjs # Gemini │ │ ├── codex.mjs # Codex (ChatGPT subscription) +│ │ ├── minimax.mjs # MiniMax (M2.5, 204K context) │ │ ├── ideas.mjs # LLM-powered trade idea generation │ │ └── index.mjs # Factory: createLLMProvider() │ ├── delta/ # Change tracking between sweeps @@ -368,7 +370,7 @@ All settings are in `.env` with sensible defaults: |----------|---------|-------------| | `PORT` | `3117` | Dashboard server port | | `REFRESH_INTERVAL_MINUTES` | `15` | Auto-refresh interval | -| `LLM_PROVIDER` | disabled | `anthropic`, `openai`, `gemini`, or `codex` | +| `LLM_PROVIDER` | disabled | `anthropic`, `openai`, `gemini`, `codex`, or `minimax` | | `LLM_API_KEY` | — | API key (not needed for codex) | | `LLM_MODEL` | per-provider default | Override model selection | | `TELEGRAM_BOT_TOKEN` | disabled | For Telegram alerts + bot commands | diff --git a/crucix.config.mjs b/crucix.config.mjs index 5e7b098..4d4c36b 100644 --- a/crucix.config.mjs +++ b/crucix.config.mjs @@ -7,7 +7,7 @@ export default { refreshIntervalMinutes: parseInt(process.env.REFRESH_INTERVAL_MINUTES) || 15, llm: { - provider: process.env.LLM_PROVIDER || null, // anthropic | openai | gemini | codex + provider: process.env.LLM_PROVIDER || null, // anthropic | openai | gemini | codex | minimax apiKey: process.env.LLM_API_KEY || null, model: process.env.LLM_MODEL || null, }, diff --git a/lib/llm/index.mjs b/lib/llm/index.mjs index 5711350..d6d3840 100644 --- a/lib/llm/index.mjs +++ b/lib/llm/index.mjs @@ -4,12 +4,14 @@ import { AnthropicProvider } from './anthropic.mjs'; import { OpenAIProvider } from './openai.mjs'; import { GeminiProvider } from './gemini.mjs'; import { CodexProvider } from './codex.mjs'; +import { MiniMaxProvider } from './minimax.mjs'; export { LLMProvider } from './provider.mjs'; export { AnthropicProvider } from './anthropic.mjs'; export { OpenAIProvider } from './openai.mjs'; export { GeminiProvider } from './gemini.mjs'; export { CodexProvider } from './codex.mjs'; +export { MiniMaxProvider } from './minimax.mjs'; /** * Create an LLM provider based on config. @@ -30,6 +32,8 @@ export function createLLMProvider(llmConfig) { return new GeminiProvider({ apiKey, model }); case 'codex': return new CodexProvider({ model }); + case 'minimax': + return new MiniMaxProvider({ apiKey, model }); default: console.warn(`[LLM] Unknown provider "${provider}". LLM features disabled.`); return null; diff --git a/lib/llm/minimax.mjs b/lib/llm/minimax.mjs new file mode 100644 index 0000000..7c9160b --- /dev/null +++ b/lib/llm/minimax.mjs @@ -0,0 +1,51 @@ +// MiniMax Provider — raw fetch, no SDK +// Uses MiniMax's OpenAI-compatible Chat Completions API + +import { LLMProvider } from './provider.mjs'; + +export class MiniMaxProvider extends LLMProvider { + constructor(config) { + super(config); + this.name = 'minimax'; + this.apiKey = config.apiKey; + this.model = config.model || 'MiniMax-M2.5'; + } + + get isConfigured() { return !!this.apiKey; } + + async complete(systemPrompt, userMessage, opts = {}) { + const res = await fetch('https://api.minimax.io/v1/chat/completions', { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + 'Authorization': `Bearer ${this.apiKey}`, + }, + body: JSON.stringify({ + model: this.model, + max_tokens: opts.maxTokens || 4096, + messages: [ + { role: 'system', content: systemPrompt }, + { role: 'user', content: userMessage }, + ], + }), + signal: AbortSignal.timeout(opts.timeout || 60000), + }); + + if (!res.ok) { + const err = await res.text().catch(() => ''); + throw new Error(`MiniMax API ${res.status}: ${err.substring(0, 200)}`); + } + + const data = await res.json(); + const text = data.choices?.[0]?.message?.content || ''; + + return { + text, + usage: { + inputTokens: data.usage?.prompt_tokens || 0, + outputTokens: data.usage?.completion_tokens || 0, + }, + model: data.model || this.model, + }; + } +} diff --git a/test/llm-minimax-integration.test.mjs b/test/llm-minimax-integration.test.mjs new file mode 100644 index 0000000..08b0c7c --- /dev/null +++ b/test/llm-minimax-integration.test.mjs @@ -0,0 +1,30 @@ +// MiniMax provider — integration test (calls real API) +// Requires MINIMAX_API_KEY environment variable +// Run: MINIMAX_API_KEY=sk-... node --test test/llm-minimax-integration.test.mjs + +import { describe, it } from 'node:test'; +import assert from 'node:assert/strict'; +import { MiniMaxProvider } from '../lib/llm/minimax.mjs'; + +const API_KEY = process.env.MINIMAX_API_KEY; + +describe('MiniMax integration', { skip: !API_KEY && 'MINIMAX_API_KEY not set' }, () => { + it('should complete a prompt with MiniMax-M2.5', async () => { + const provider = new MiniMaxProvider({ apiKey: API_KEY, model: 'MiniMax-M2.5' }); + assert.equal(provider.isConfigured, true); + + const result = await provider.complete( + 'You are a helpful assistant. Respond in exactly one sentence.', + 'What is 2+2?', + { maxTokens: 128, timeout: 30000 } + ); + + assert.ok(result.text.length > 0, 'Response text should not be empty'); + assert.ok(result.usage.inputTokens > 0, 'Should report input tokens'); + assert.ok(result.usage.outputTokens > 0, 'Should report output tokens'); + assert.ok(result.model, 'Should report model name'); + console.log(` Response: ${result.text}`); + console.log(` Tokens: ${result.usage.inputTokens} in / ${result.usage.outputTokens} out`); + console.log(` Model: ${result.model}`); + }); +}); diff --git a/test/llm-minimax.test.mjs b/test/llm-minimax.test.mjs new file mode 100644 index 0000000..f2d3b7d --- /dev/null +++ b/test/llm-minimax.test.mjs @@ -0,0 +1,144 @@ +// MiniMax provider — unit tests +// Uses Node.js built-in test runner (node:test) — no extra dependencies + +import { describe, it, mock, beforeEach } from 'node:test'; +import assert from 'node:assert/strict'; +import { MiniMaxProvider } from '../lib/llm/minimax.mjs'; +import { createLLMProvider } from '../lib/llm/index.mjs'; + +// ─── Unit Tests ─── + +describe('MiniMaxProvider', () => { + it('should set defaults correctly', () => { + const provider = new MiniMaxProvider({ apiKey: 'sk-test' }); + assert.equal(provider.name, 'minimax'); + assert.equal(provider.model, 'MiniMax-M2.5'); + assert.equal(provider.isConfigured, true); + }); + + it('should accept custom model', () => { + const provider = new MiniMaxProvider({ apiKey: 'sk-test', model: 'MiniMax-M2.5-highspeed' }); + assert.equal(provider.model, 'MiniMax-M2.5-highspeed'); + }); + + it('should report not configured without API key', () => { + const provider = new MiniMaxProvider({}); + assert.equal(provider.isConfigured, false); + }); + + it('should throw on API error', async () => { + const provider = new MiniMaxProvider({ apiKey: 'sk-test' }); + const originalFetch = globalThis.fetch; + globalThis.fetch = mock.fn(() => + Promise.resolve({ ok: false, status: 401, text: () => Promise.resolve('Unauthorized') }) + ); + try { + await assert.rejects( + () => provider.complete('system', 'user'), + (err) => { + assert.match(err.message, /MiniMax API 401/); + return true; + } + ); + } finally { + globalThis.fetch = originalFetch; + } + }); + + it('should parse successful response', async () => { + const provider = new MiniMaxProvider({ apiKey: 'sk-test' }); + const mockResponse = { + choices: [{ message: { content: 'Hello from MiniMax' } }], + usage: { prompt_tokens: 10, completion_tokens: 5 }, + model: 'MiniMax-M2.5', + }; + const originalFetch = globalThis.fetch; + globalThis.fetch = mock.fn(() => + Promise.resolve({ ok: true, json: () => Promise.resolve(mockResponse) }) + ); + try { + const result = await provider.complete('You are helpful.', 'Say hello'); + assert.equal(result.text, 'Hello from MiniMax'); + assert.equal(result.usage.inputTokens, 10); + assert.equal(result.usage.outputTokens, 5); + assert.equal(result.model, 'MiniMax-M2.5'); + } finally { + globalThis.fetch = originalFetch; + } + }); + + it('should send correct request format', async () => { + const provider = new MiniMaxProvider({ apiKey: 'sk-test-key', model: 'MiniMax-M2.5' }); + let capturedUrl, capturedOpts; + const originalFetch = globalThis.fetch; + globalThis.fetch = mock.fn((url, opts) => { + capturedUrl = url; + capturedOpts = opts; + return Promise.resolve({ + ok: true, + json: () => Promise.resolve({ + choices: [{ message: { content: 'ok' } }], + usage: { prompt_tokens: 1, completion_tokens: 1 }, + model: 'MiniMax-M2.5', + }), + }); + }); + try { + await provider.complete('system prompt', 'user message', { maxTokens: 2048 }); + assert.equal(capturedUrl, 'https://api.minimax.io/v1/chat/completions'); + assert.equal(capturedOpts.method, 'POST'); + const headers = capturedOpts.headers; + assert.equal(headers['Content-Type'], 'application/json'); + assert.equal(headers['Authorization'], 'Bearer sk-test-key'); + const body = JSON.parse(capturedOpts.body); + assert.equal(body.model, 'MiniMax-M2.5'); + assert.equal(body.max_tokens, 2048); + assert.equal(body.messages[0].role, 'system'); + assert.equal(body.messages[0].content, 'system prompt'); + assert.equal(body.messages[1].role, 'user'); + assert.equal(body.messages[1].content, 'user message'); + } finally { + globalThis.fetch = originalFetch; + } + }); + + it('should handle empty response gracefully', async () => { + const provider = new MiniMaxProvider({ apiKey: 'sk-test' }); + const originalFetch = globalThis.fetch; + globalThis.fetch = mock.fn(() => + Promise.resolve({ + ok: true, + json: () => Promise.resolve({ choices: [], usage: {} }), + }) + ); + try { + const result = await provider.complete('sys', 'user'); + assert.equal(result.text, ''); + assert.equal(result.usage.inputTokens, 0); + assert.equal(result.usage.outputTokens, 0); + } finally { + globalThis.fetch = originalFetch; + } + }); +}); + +// ─── Factory Tests ─── + +describe('createLLMProvider — minimax', () => { + it('should create MiniMaxProvider for provider=minimax', () => { + const provider = createLLMProvider({ provider: 'minimax', apiKey: 'sk-test', model: null }); + assert.ok(provider instanceof MiniMaxProvider); + assert.equal(provider.name, 'minimax'); + assert.equal(provider.isConfigured, true); + }); + + it('should be case-insensitive', () => { + const provider = createLLMProvider({ provider: 'MiniMax', apiKey: 'sk-test', model: null }); + assert.ok(provider instanceof MiniMaxProvider); + }); + + it('should return null for empty provider', () => { + const provider = createLLMProvider({ provider: null, apiKey: 'sk-test', model: null }); + assert.equal(provider, null); + }); +});