test: assert hashed prediction identifier format

Merge pull request #52: respect configured LLM generation limits

.env.example

@@ -29,6 +29,7 @@ OPENROUTER_APP_NAME=Intelligence Terminal
 
 # Local OpenAI-compatible examples
 # LiteLLM: LLM_PROVIDER=litellm, LLM_BASE_URL=https://llm.example.com/v1, LLM_API_KEY=your-proxy-key, LLM_MODEL=your-model-alias
+# Local 20B+ models may need LLM_TIMEOUT_MS=300000 for full intelligence sweeps.
 # LM Studio: LLM_PROVIDER=lmstudio, LLM_BASE_URL=http://host.docker.internal:1234/v1, LLM_MODEL=local-model
 # Ollama: LLM_PROVIDER=ollama, LLM_BASE_URL=http://host.docker.internal:11434, LLM_MODEL=llama3.1:8b
 # Generic: LLM_PROVIDER=openai-compatible, LLM_BASE_URL=http://host.docker.internal:8000/v1, LLM_MODEL=your-model

README.md

@@ -85,7 +85,7 @@ npm run dev
 > ```
 > This bypasses npm's script runner, which can swallow errors on some systems (particularly PowerShell on Windows). You can also run `node diag.mjs` to diagnose the exact issue — it checks your Node version, tests each module import individually, and verifies port availability. See [Troubleshooting](#troubleshooting) for more.
 
-The dashboard opens automatically at `http://localhost:3117` and immediately begins its first intelligence sweep. This initial sweep queries all 27 sources in parallel and typically takes 30–60 seconds — the dashboard will appear empty until the sweep completes and pushes the first data update. After that, it auto-refreshes every 15 minutes via SSE (Server-Sent Events). No manual page refresh needed.
+The server starts at `http://localhost:3117` and immediately begins its first intelligence sweep. Browser auto-open is disabled by default; open the URL yourself or explicitly set `AUTO_OPEN_BROWSER=true` for a supported desktop environment. The initial sweep queries all 27 sources in parallel and typically takes 30–60 seconds — the dashboard will appear empty until the sweep completes and pushes the first data update. After that, it auto-refreshes every 15 minutes via SSE (Server-Sent Events). No manual page refresh is needed.
 
 **Requirements:** Node.js 22+ (uses native `fetch`, top-level `await`, ESM)
 
@@ -157,9 +157,13 @@ ACLED_EMAIL=
 ACLED_PASSWORD=
 CLOUDFLARE_API_TOKEN=
 BLS_API_KEY=
+REDDIT_CLIENT_ID=
+REDDIT_CLIENT_SECRET=
 
 TELEGRAM_BOT_TOKEN=
 TELEGRAM_CHAT_ID=
+TELEGRAM_POLL_INTERVAL=5000
+TELEGRAM_CHANNELS=
 DISCORD_BOT_TOKEN=
 DISCORD_CHANNEL_ID=
 DISCORD_GUILD_ID=
@@ -174,6 +178,7 @@ LLM_PROVIDER=litellm
 LLM_BASE_URL=https://llm.example.com/v1
 LLM_API_KEY=your-litellm-api-key
 LLM_MODEL=your-model-alias
+LLM_TIMEOUT_MS=300000
 
 # LM Studio
 LLM_PROVIDER=lmstudio
@@ -436,14 +441,18 @@ Reddit is OAuth-only in this fork. If the Reddit credentials are missing or reje
 
 ### LLM Provider (optional, for AI-enhanced ideas)
 
-Set `LLM_PROVIDER` to one of: `anthropic`, `openai`, `gemini`, `codex`, `openrouter`, `minimax`, `mistral`, `grok`
+Set `LLM_PROVIDER` to one of: `litellm`, `openrouter`, `openai-compatible`, `lmstudio`, `ollama`, `anthropic`, `openai`, `gemini`, `codex`, `minimax`, `mistral`, or `grok`.
 
-| Provider | Key Required | Default Model |
+| Provider | Key Required | Default Model / Requirement |
-|----------|-------------|---------------|
+|----------|--------------|-----------------------------|
+| `litellm` | `LLM_API_KEY` | Explicit `LLM_BASE_URL` and `LLM_MODEL` required |
+| `openrouter` | `LLM_API_KEY` | `openrouter/free` |
+| `openai-compatible` | Endpoint-dependent | `local-model`; set `LLM_BASE_URL` |
+| `lmstudio` | No | `local-model` |
+| `ollama` | No | `llama3.1:8b` |
 | `anthropic` | `LLM_API_KEY` | claude-sonnet-4-6 |
-| `openai` | `LLM_API_KEY` | gpt-5.4 |
+| `openai` | `LLM_API_KEY` | `gpt-4o-mini` |
 | `gemini` | `LLM_API_KEY` | gemini-3.1-pro |
-| `openrouter` | `LLM_API_KEY` | openrouter/auto |
 | `codex` | None (uses `~/.codex/auth.json`) | gpt-5.3-codex |
 | `minimax` | `LLM_API_KEY` | MiniMax-M2.5 |
 | `mistral` | `LLM_API_KEY` | mistral-large-latest |
@@ -631,9 +640,22 @@ All settings are in `.env` with sensible defaults:
 | `STALE_DATA_MAX_AGE_MINUTES` | `60` | Data age threshold for stale health state |
 | `STALE_ALERT_COOLDOWN_MINUTES` | `60` | Minimum time between repeated operator stale-data alerts |
 | `DASHBOARD_URL` | local URL | Dashboard URL included in operator alerts |
+| `AUTO_OPEN_BROWSER` | `false` | Open the dashboard in a host browser; keep disabled in Docker |
+| `TERMINAL_ACTIONS_ENABLED` | environment-dependent | Enable guarded dashboard actions such as sweep and brief |
+| `SWEEP_TOKEN` | disabled | Shared token required for remote action requests |
+| `SSE_HEARTBEAT_INTERVAL_MS` | `25000` | Heartbeat interval for reverse-proxy SSE connections |
+| `TERMINAL_ACTION_RATE_LIMIT_WINDOW_MS` | `60000` | Terminal action rate-limit window |
+| `TERMINAL_ACTION_RATE_LIMIT_MAX` | `10` | Maximum terminal actions per client/window |
+| `BRIEF_VERBOSITY` | `standard` | Briefing detail level |
 | `LLM_PROVIDER` | disabled | `litellm`, `openrouter`, `openai-compatible`, `lmstudio`, `ollama`, `anthropic`, `openai`, `gemini`, `codex`, `minimax`, `mistral`, or `grok` |
-| `LLM_API_KEY` | — | API key (not needed for codex) |
+| `LLM_BASE_URL` | provider default | API base URL; required for LiteLLM and custom endpoints |
+| `LLM_API_KEY` | — | Provider or proxy API key; required for LiteLLM |
 | `LLM_MODEL` | per-provider default | Override model selection |
+| `LLM_TEMPERATURE` | `0.2` | Sampling temperature for OpenAI-compatible providers |
+| `LLM_MAX_TOKENS` | `2000` | Maximum completion token budget |
+| `LLM_TIMEOUT_MS` | `90000` | LLM request timeout in milliseconds |
+| `OPENROUTER_SITE_URL` | repository URL | OpenRouter attribution URL |
+| `OPENROUTER_APP_NAME` | `Intelligence Terminal` | OpenRouter application title |
 | `TELEGRAM_BOT_TOKEN` | disabled | For Telegram alerts + bot commands |
 | `TELEGRAM_CHAT_ID` | — | Your Telegram chat ID |
 | `TELEGRAM_CHANNELS` | — | Extra channel IDs to monitor (comma-separated) |

lib/intelligence-store.mjs

@@ -205,7 +205,7 @@ export class IntelligenceStore {
   _recordPredictions(data, timestamp) {
     for (const idea of data.ideas || []) {
       const title = idea.title || 'Untitled idea';
-      const stableId = stableId('prediction', title, idea.type || '', idea.ticker || '', idea.horizon || '');
+      const predictionId = stableId('prediction', title, idea.type || '', idea.ticker || '', idea.horizon || '');
       const evidence = Array.isArray(idea.signals) ? idea.signals : [];
       this.db.prepare(`INSERT INTO predictions (
           stable_id, created_at, updated_at, title, type, hypothesis, evidence_json, confidence,
@@ -217,7 +217,7 @@ export class IntelligenceStore {
           confidence=excluded.confidence,
           evidence_json=excluded.evidence_json,
           payload_json=excluded.payload_json`).run(
-        stableId,
+        predictionId,
         timestamp,
         timestamp,
         title,

lib/llm/ideas.mjs

@@ -43,7 +43,13 @@ Output ONLY valid JSON array. Each object:
 }`;
 
   try {
-    const result = await provider.complete(systemPrompt, context, { maxTokens: 4096, timeout: 90000 });
+    const maxTokens = Number.isFinite(provider.maxTokens) && provider.maxTokens > 0
+      ? provider.maxTokens
+      : 4096;
+    const timeout = Number.isFinite(provider.timeoutMs) && provider.timeoutMs > 0
+      ? provider.timeoutMs
+      : 90000;
+    const result = await provider.complete(systemPrompt, context, { maxTokens, timeout });
     const ideas = parseIdeasResponse(result.text);
     if (ideas && ideas.length > 0) {
       return ideas;

package.json

@@ -12,7 +12,7 @@
     "brief:save": "node apis/save-briefing.mjs",
     "diag": "node diag.mjs",
     "test": "npm run test:unit",
-    "test:unit": "node --test test/llm-openrouter.test.mjs test/llm-ollama.test.mjs test/llm-openai-compatible.test.mjs test/llm-litellm.test.mjs test/fetch-utils.test.mjs test/reddit-source.test.mjs test/acled-source.test.mjs test/mojibake-text.test.mjs test/adsb.test.mjs test/dashboard-geotagging.test.mjs",
+    "test:unit": "node --test test/llm-openrouter.test.mjs test/llm-ollama.test.mjs test/llm-openai-compatible.test.mjs test/llm-litellm.test.mjs test/llm-ideas.test.mjs test/intelligence-store.test.mjs test/fetch-utils.test.mjs test/reddit-source.test.mjs test/acled-source.test.mjs test/mojibake-text.test.mjs test/adsb.test.mjs test/dashboard-geotagging.test.mjs",
     "compose:config": "docker compose config",
     "clean": "node scripts/clean.mjs",
     "fresh-start": "npm run clean && npm start"

test/intelligence-store.test.mjs

@@ -0,0 +1,44 @@
+import test from 'node:test';
+import assert from 'node:assert/strict';
+import { mkdtempSync, rmSync } from 'node:fs';
+import { tmpdir } from 'node:os';
+import { join } from 'node:path';
+import { IntelligenceStore } from '../lib/intelligence-store.mjs';
+
+test('records LLM ideas as stable predictions', async (t) => {
+  const directory = mkdtempSync(join(tmpdir(), 'intelligence-store-'));
+  t.after(() => rmSync(directory, { recursive: true, force: true }));
+
+  const store = await new IntelligenceStore(join(directory, 'intelligence.db')).init();
+  if (!store.available) {
+    t.skip(`node:sqlite unavailable: ${store.reason}`);
+    return;
+  }
+
+  store.recordRun({
+    meta: {
+      timestamp: '2026-07-04T10:17:51.011Z',
+      sourcesOk: 22,
+      sourcesDegraded: 7,
+      sourcesFailed: 0,
+    },
+    ideasSource: 'llm',
+    ideas: [{
+      title: 'Gold safe-haven hedge',
+      type: 'HEDGE',
+      ticker: 'GLD',
+      confidence: 'MEDIUM',
+      rationale: 'Geopolitical risk remains elevated.',
+      risk: 'Risk appetite recovers.',
+      horizon: 'Weeks',
+      signals: ['geopolitical escalation'],
+      source: 'llm',
+    }],
+  }, { summary: { direction: 'risk-off' } });
+
+  const result = store.listPredictions({ limit: 10 });
+  assert.equal(result.available, true);
+  assert.equal(result.predictions.length, 1);
+  assert.equal(result.predictions[0].title, 'Gold safe-haven hedge');
+  assert.match(result.predictions[0].stable_id, /^[a-f0-9]{24}$/);
+});

test/llm-ideas.test.mjs

@@ -0,0 +1,48 @@
+import test from 'node:test';
+import assert from 'node:assert/strict';
+import { generateLLMIdeas } from '../lib/llm/ideas.mjs';
+
+const response = JSON.stringify([{
+  title: 'Test idea',
+  type: 'WATCH',
+  ticker: 'SPY',
+  confidence: 'LOW',
+  rationale: 'Test rationale',
+  risk: 'Test risk',
+  horizon: 'Days',
+  signals: ['test'],
+}]);
+
+test('idea generation respects provider token and timeout configuration', async () => {
+  let capturedOptions;
+  const provider = {
+    isConfigured: true,
+    maxTokens: 2000,
+    timeoutMs: 300000,
+    async complete(_systemPrompt, _context, options) {
+      capturedOptions = options;
+      return { text: response };
+    },
+  };
+
+  const ideas = await generateLLMIdeas(provider, {}, null, []);
+
+  assert.deepEqual(capturedOptions, { maxTokens: 2000, timeout: 300000 });
+  assert.equal(ideas.length, 1);
+  assert.equal(ideas[0].source, 'llm');
+});
+
+test('idea generation keeps safe defaults for providers without limits', async () => {
+  let capturedOptions;
+  const provider = {
+    isConfigured: true,
+    async complete(_systemPrompt, _context, options) {
+      capturedOptions = options;
+      return { text: response };
+    },
+  };
+
+  await generateLLMIdeas(provider, {}, null, []);
+
+  assert.deepEqual(capturedOptions, { maxTokens: 4096, timeout: 90000 });
+});