feat: add LiteLLM provider and Code-Inc image target

Reviewed-on: MrSphay/intelligence-terminal#44

.codex/project.md

@@ -18,7 +18,7 @@ Production-ready Crucix fork for Docker, Dockge, Pangolin, local OSINT sweeps, s
 - `npm run test:unit`
 - `npm test`
 - `docker compose config`
-- `docker build -t git.wilkensxl.de/mrsphay/intelligence-terminal:latest .`
+- `docker build -t git.wilkensxl.de/code-inc/intelligence-terminal:latest .`
 
 Heavy install/build/audit/release work should run on Gitea Ubuntu runners where possible. Local work should stay limited to targeted verification and Docker checks required for this deployment.
 

.env.example

@@ -10,12 +10,13 @@ STALE_ALERT_COOLDOWN_MINUTES=60
 DASHBOARD_URL=
 TERMINAL_ACTIONS_ENABLED=true
 SWEEP_TOKEN=
+SSE_HEARTBEAT_INTERVAL_MS=25000
 TERMINAL_ACTION_RATE_LIMIT_WINDOW_MS=60000
 TERMINAL_ACTION_RATE_LIMIT_MAX=10
 BRIEF_VERBOSITY=standard
 
 # LLM layer
-# Providers: openrouter | openai-compatible | lmstudio | ollama | openai | anthropic | gemini | mistral | minimax | grok | codex
+# Providers: litellm | openrouter | openai-compatible | lmstudio | ollama | openai | anthropic | gemini | mistral | minimax | grok | codex
 LLM_PROVIDER=openrouter
 LLM_BASE_URL=https://openrouter.ai/api/v1
 LLM_API_KEY=
@@ -23,10 +24,11 @@ LLM_MODEL=openrouter/free
 LLM_TEMPERATURE=0.2
 LLM_MAX_TOKENS=2000
 LLM_TIMEOUT_MS=90000
-OPENROUTER_SITE_URL=https://git.wilkensxl.de/MrSphay/intelligence-terminal
+OPENROUTER_SITE_URL=https://git.wilkensxl.de/Code-Inc/intelligence-terminal
 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
 # 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

.gitea/workflows/build.yml

@@ -15,7 +15,7 @@ jobs:
     env:
       REGISTRY_HOST: git.wilkensxl.de
       REGISTRY_USERNAME: MrSphay
-      REGISTRY_NAMESPACE: mrsphay
+      REGISTRY_NAMESPACE: code-inc
       IMAGE_NAME: intelligence-terminal
       REGISTRY_TOKEN: ${{ secrets.REGISTRY_TOKEN }}
     steps:
@@ -46,7 +46,7 @@ jobs:
           docker build -t "${image}:${build_tag}" .
 
       - name: Publish Docker image
-        if: ${{ env.REGISTRY_TOKEN != '' }}
+        if: ${{ env.REGISTRY_TOKEN != '' && github.event_name == 'push' && github.ref == 'refs/heads/codex/production-intelligence-terminal' }}
         shell: bash
         run: |
           image="${REGISTRY_HOST}/${REGISTRY_NAMESPACE}/${IMAGE_NAME}"

AGENTS.md

@@ -18,8 +18,8 @@ Intelligence Terminal is a Docker-first Crucix fork for home-server OSINT, marke
 - Unit tests: `npm run test:unit`
 - Full tests: `npm test`
 - Compose validation: `docker compose config`
-- Docker image: `docker build -t git.wilkensxl.de/mrsphay/intelligence-terminal:latest .`
+- Docker image: `docker build -t git.wilkensxl.de/code-inc/intelligence-terminal:latest .`
 
 ## Release Target
 
-Push source to `https://git.wilkensxl.de/MrSphay/intelligence-terminal.git` and publish the Docker image to `git.wilkensxl.de/mrsphay/intelligence-terminal`.
+Push source to `https://git.wilkensxl.de/Code-Inc/intelligence-terminal.git` and publish the Docker image to `git.wilkensxl.de/code-inc/intelligence-terminal`.

README.md

@@ -4,8 +4,8 @@
 
 **Self-hosted intelligence dashboard. 27 open sources. Docker-first. No telemetry.**
 
-[![Gitea Repository](https://img.shields.io/badge/source-Gitea-609926?style=for-the-badge&logo=gitea&logoColor=white)](https://git.wilkensxl.de/MrSphay/intelligence-terminal)
+[![Gitea Repository](https://img.shields.io/badge/source-Gitea-609926?style=for-the-badge&logo=gitea&logoColor=white)](https://git.wilkensxl.de/Code-Inc/intelligence-terminal)
-[![Docker Image](https://img.shields.io/badge/image-Gitea%20Registry-0b1220?style=for-the-badge&logo=docker&logoColor=white)](https://git.wilkensxl.de/MrSphay/-/packages/container/intelligence-terminal/latest)
+[![Docker Image](https://img.shields.io/badge/image-Gitea%20Registry-0b1220?style=for-the-badge&logo=docker&logoColor=white)](https://git.wilkensxl.de/Code-Inc/-/packages/container/intelligence-terminal/latest)
 
 [![Node.js 22+](https://img.shields.io/badge/node-22%2B-brightgreen)](#quick-start)
 [![License: AGPL v3](https://img.shields.io/badge/license-AGPLv3-blue.svg)](LICENSE)
@@ -32,7 +32,7 @@
 
 > **Supported deployment:** private home-server or lab deployment through Docker, Dockge, Pangolin, or local Node.js.
 > Runtime data stays in your configured `runs/` volume and API keys are operator-owned.
-> **Source:** [git.wilkensxl.de/MrSphay/intelligence-terminal](https://git.wilkensxl.de/MrSphay/intelligence-terminal)
+> **Source:** [git.wilkensxl.de/Code-Inc/intelligence-terminal](https://git.wilkensxl.de/Code-Inc/intelligence-terminal)
 > Pull the image or clone the repository to run Intelligence Terminal on your own infrastructure.
 
 Intelligence Terminal pulls satellite fire detection, flight tracking, radiation monitoring, satellite constellation tracking, economic indicators, live market prices, conflict data, sanctions lists, and social sentiment from 27 open-source intelligence feeds in parallel, every 15 minutes, and renders everything on a single self-contained dashboard.
@@ -66,7 +66,7 @@ It was built for anyone who wants to understand what's actually happening in the
 
 ```bash
 # 1. Clone the repo
-git clone https://git.wilkensxl.de/MrSphay/intelligence-terminal.git
+git clone https://git.wilkensxl.de/Code-Inc/intelligence-terminal.git
 cd intelligence-terminal
 
 # 2. Install dependencies (just Express)
@@ -92,7 +92,7 @@ The dashboard opens automatically at `http://localhost:3117` and immediately beg
 ### Docker
 
 ```bash
-docker pull git.wilkensxl.de/mrsphay/intelligence-terminal:latest
+docker pull git.wilkensxl.de/code-inc/intelligence-terminal:latest
 ```
 
 Dashboard at `http://localhost:3117`. Sweep data persists in `./runs/` via volume mount. The container disables browser auto-open by default, exposes `/api/health` and `/api/metrics`, and is suitable for Dockge/Pangolin.
@@ -102,7 +102,7 @@ Dashboard at `http://localhost:3117`. Sweep data persists in `./runs/` via volum
 ```yaml
 services:
   intelligence-terminal:
-    image: git.wilkensxl.de/mrsphay/intelligence-terminal:latest
+    image: git.wilkensxl.de/code-inc/intelligence-terminal:latest
     container_name: intelligence-terminal
     env_file:
       - path: .env
@@ -134,6 +134,7 @@ STALE_ALERT_COOLDOWN_MINUTES=60
 DASHBOARD_URL=https://intelligence.example.internal
 TERMINAL_ACTIONS_ENABLED=true
 SWEEP_TOKEN=
+SSE_HEARTBEAT_INTERVAL_MS=25000
 TERMINAL_ACTION_RATE_LIMIT_WINDOW_MS=60000
 TERMINAL_ACTION_RATE_LIMIT_MAX=10
 BRIEF_VERBOSITY=standard
@@ -145,7 +146,7 @@ LLM_MODEL=openrouter/free
 LLM_TEMPERATURE=0.2
 LLM_MAX_TOKENS=2000
 LLM_TIMEOUT_MS=90000
-OPENROUTER_SITE_URL=https://git.wilkensxl.de/MrSphay/intelligence-terminal
+OPENROUTER_SITE_URL=https://git.wilkensxl.de/Code-Inc/intelligence-terminal
 OPENROUTER_APP_NAME=Intelligence Terminal
 
 FRED_API_KEY=
@@ -168,6 +169,12 @@ DISCORD_WEBHOOK_URL=
 Local LLM examples:
 
 ```env
+# LiteLLM proxy (the URL must include the OpenAI-compatible /v1 path)
+LLM_PROVIDER=litellm
+LLM_BASE_URL=https://llm.example.com/v1
+LLM_API_KEY=your-litellm-api-key
+LLM_MODEL=your-model-alias
+
 # LM Studio
 LLM_PROVIDER=lmstudio
 LLM_BASE_URL=http://host.docker.internal:1234/v1
@@ -204,6 +211,52 @@ Action endpoints reject cross-origin POST origins, apply a small in-memory per-I
 
 When data remains stale past `STALE_DATA_MAX_AGE_MINUTES`, the server sends an operator alert through configured Telegram/Discord channels after failed or degraded sweep attempts. `STALE_ALERT_COOLDOWN_MINUTES` prevents repeated stale alerts from spamming every refresh interval. Set `DASHBOARD_URL` to the Pangolin/public URL you want included in those alerts.
 
+#### Memory And Prediction Loop
+
+Crucix stores longitudinal memory in `runs/intelligence.db` when the current Node.js build exposes `node:sqlite`. If SQLite is unavailable, the file is created as a harmless placeholder and `/api/health` reports the memory store as unavailable instead of failing the sweep.
+
+The memory layer persists:
+
+| Table | Purpose |
+| --- | --- |
+| `runs` | Sweep timestamps, source health counts, and delta direction summaries. |
+| `entities` | Stable entity IDs for recurring countries, regions, and locations. |
+| `events` | Stable event IDs for conflict, OSINT, urgent news, and new delta signals across sweeps. |
+| `predictions` | Trade/intelligence hypotheses with evidence, confidence, horizon, outcome state, and latest grading. |
+
+Query endpoints:
+
+```text
+GET /api/memory/search?q=iran&limit=25
+GET /api/memory/predictions?state=open&limit=25
+```
+
+Memory endpoints use the same operator authorization gate as Terminal Actions. The dashboard Terminal Actions panel includes a `Memory` action for a quick operator-facing view of recent events and prediction states.
+
+Retention, backup, and privacy expectations:
+
+- Treat `runs/intelligence.db` as operator data. It can contain source excerpts, headlines, generated hypotheses, and URLs from your configured feeds.
+- Back up `runs/` with the rest of your Dockge volume if you want longitudinal learning to survive container replacement.
+- Delete `runs/intelligence.db` to reset SQLite memory; the next sweep recreates the schema.
+- Do not commit `runs/` or `.env`. API credentials stay in `.env`; memory stores derived observations, not secrets.
+- If you expose the dashboard through a reverse proxy, protect Terminal Actions and memory queries behind your normal authentication boundary.
+
+#### Reverse Proxy SSE
+
+The dashboard receives live sweep updates from `GET /events` using Server-Sent Events. The server sends `retry: 10000` reconnect guidance and lightweight heartbeat comments every `SSE_HEARTBEAT_INTERVAL_MS` milliseconds so reverse proxies do not close an otherwise idle stream between 15-minute sweeps.
+
+Recommended proxy settings:
+
+| Proxy | Setting |
+| --- | --- |
+| Pangolin / Traefik-style frontends | Keep response streaming enabled and set idle timeouts above `SSE_HEARTBEAT_INTERVAL_MS`. |
+| Nginx | Disable proxy buffering for `/events`, keep `proxy_read_timeout` above the heartbeat interval, and preserve `Connection: keep-alive`. |
+| Cloudflare-style proxies | Keep the heartbeat below common idle cutoffs; the default 25s is intentionally conservative. |
+
+If you raise the heartbeat interval, keep it shorter than the lowest idle timeout in the proxy chain.
+
+`/api/metrics` includes network health grouped by host and source/provider. Source modules should use `safeFetch(url, { source: 'SourceName' })`; when omitted, the shared helper infers a stable provider bucket from the URL host instead of grouping normal source traffic under `unknown`. Raw fetch exceptions are documented in [Source Fetch Instrumentation](docs/source-fetch-instrumentation.md).
+
 #### Scenario Watchlist
 
 Intelligence Terminal can track operator hypotheses across sweeps with a runtime scenario file at `runs/scenarios.json`. On first run, the server creates three disabled starter examples:
@@ -241,10 +294,10 @@ Scenario states are `dormant`, `watching`, `building`, and `confirmed`. The dash
 
 ```bash
 docker login git.wilkensxl.de -u MrSphay
-docker build -t git.wilkensxl.de/mrsphay/intelligence-terminal:latest .
+docker build -t git.wilkensxl.de/code-inc/intelligence-terminal:latest .
-docker tag git.wilkensxl.de/mrsphay/intelligence-terminal:latest git.wilkensxl.de/mrsphay/intelligence-terminal:20260516
+docker tag git.wilkensxl.de/code-inc/intelligence-terminal:latest git.wilkensxl.de/code-inc/intelligence-terminal:YYYYMMDD
-docker push git.wilkensxl.de/mrsphay/intelligence-terminal:latest
+docker push git.wilkensxl.de/code-inc/intelligence-terminal:latest
-docker push git.wilkensxl.de/mrsphay/intelligence-terminal:20260516
+docker push git.wilkensxl.de/code-inc/intelligence-terminal:YYYYMMDD
 ```
 
 Gitea Actions publishes the same image automatically when the repository secret `REGISTRY_TOKEN` is set with package read/write permissions. The workflow tags images as `latest`, the commit SHA, and a UTC `YYYYMMDD` release tag.
@@ -333,7 +386,7 @@ Alerts are delivered as rich embeds with color-coded sidebars: red for FLASH, ye
 Connect cloud or local OpenAI-compatible 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: OpenRouter, OpenAI-compatible APIs, LM Studio, Ollama, OpenAI, Anthropic Claude, Google Gemini, OpenAI Codex, MiniMax, Mistral, Grok
+- Providers: LiteLLM, OpenRouter, OpenAI-compatible APIs, LM Studio, Ollama, OpenAI, Anthropic Claude, Google Gemini, OpenAI Codex, MiniMax, Mistral, Grok
 - Graceful fallback — when LLM is unavailable, a rule-based engine takes over alert evaluation. LLM failures never crash the sweep cycle.
 
 Primary env keys:
@@ -578,7 +631,7 @@ 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 |
-| `LLM_PROVIDER` | disabled | `anthropic`, `openai`, `gemini`, `codex`, `openrouter`, `minimax`, `mistral`, or `grok` |
+| `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_MODEL` | per-provider default | Override model selection |
 | `TELEGRAM_BOT_TOKEN` | disabled | For Telegram alerts + bot commands |
@@ -704,7 +757,7 @@ For contribution guidelines, review expectations, and source-add rules, see `CON
 
 For bugs, feature requests, and integration ideas, use the Gitea issue tracker so discussion stays visible and actionable:
 
-https://git.wilkensxl.de/MrSphay/intelligence-terminal/issues
+https://git.wilkensxl.de/Code-Inc/intelligence-terminal/issues
 
 ## Upstream And License
 

apis/utils/fetch.mjs

@@ -10,6 +10,44 @@ const fetchMetrics = {
   recent: [],
 };
 
+const SOURCE_BY_HOST = [
+  [/api\.bls\.gov$/i, 'BLS'],
+  [/api\.fred\.stlouisfed\.org$/i, 'FRED'],
+  [/api\.eia\.gov$/i, 'EIA'],
+  [/api\.gdeltproject\.org$/i, 'GDELT'],
+  [/api\.weather\.gov$/i, 'NOAA'],
+  [/api\.open-notify\.org$/i, 'OpenNotify'],
+  [/opensky-network\.org$/i, 'OpenSky'],
+  [/firms\.modaps\.eosdis\.nasa\.gov$/i, 'FIRMS'],
+  [/api\.acleddata\.com$/i, 'ACLED'],
+  [/api\.reliefweb\.int$/i, 'ReliefWeb'],
+  [/receiverbook\.de$/i, 'KiwiSDR'],
+  [/safecast\.org$/i, 'Safecast'],
+  [/api\.patentsview\.org$/i, 'PatentsView'],
+  [/api\.trade\.gov$/i, 'Comtrade'],
+  [/api\.usaspending\.gov$/i, 'USASpending'],
+  [/api\.telegram\.org$/i, 'Telegram'],
+  [/oauth\.reddit\.com$/i, 'Reddit'],
+  [/reddit\.com$/i, 'Reddit'],
+  [/api\.bsky\.app$/i, 'Bluesky'],
+  [/api\.yahoo\.com$/i, 'YahooFinance'],
+  [/query\d?\.finance\.yahoo\.com$/i, 'YahooFinance'],
+  [/api\.cloudflare\.com$/i, 'CloudflareRadar'],
+  [/api\.opensanctions\.org$/i, 'OpenSanctions'],
+  [/home\.treasury\.gov$/i, 'Treasury'],
+  [/fiscaldata\.treasury\.gov$/i, 'Treasury'],
+  [/who\.int$/i, 'WHO'],
+];
+
+export function inferFetchSource(url) {
+  let host = 'unknown';
+  try { host = new URL(url).host.toLowerCase(); } catch { return 'unknown'; }
+  for (const [pattern, source] of SOURCE_BY_HOST) {
+    if (pattern.test(host)) return source;
+  }
+  return host;
+}
+
 function metricBucket(map, key) {
   if (!map[key]) map[key] = { requests: 0, ok: 0, failed: 0, bytes: 0, lastStatus: null, lastError: null, lastMs: 0 };
   return map[key];
@@ -38,7 +76,7 @@ export function getFetchMetrics() {
 }
 
 export async function safeFetch(url, opts = {}) {
-  const { timeout = 15000, retries = 1, headers = {}, source = undefined } = opts;
+  const { timeout = 15000, retries = 1, headers = {}, source = inferFetchSource(url) } = opts;
   let lastError;
   for (let i = 0; i <= retries; i++) {
     const started = Date.now();
@@ -79,11 +117,11 @@ export async function safeFetch(url, opts = {}) {
       if (i < retries) await new Promise(r => setTimeout(r, 2000 * (i + 1)));
     }
   }
-  return { error: lastError?.message || 'Unknown error', source: url };
+  return { error: lastError?.message || 'Unknown error', source };
 }
 
 export async function safeFetchText(url, opts = {}) {
-  const { timeout = 15000, retries = 1, headers = {}, source = undefined } = opts;
+  const { timeout = 15000, retries = 1, headers = {}, source = inferFetchSource(url) } = opts;
   let lastError;
   for (let i = 0; i <= retries; i++) {
     const started = Date.now();

crucix.config.mjs

@@ -29,16 +29,17 @@ export default {
   terminalActionsEnabled: boolEnv('TERMINAL_ACTIONS_ENABLED', !!process.env.SWEEP_TOKEN || process.env.NODE_ENV !== 'production'),
   terminalActionRateLimitWindowMs: intEnv('TERMINAL_ACTION_RATE_LIMIT_WINDOW_MS', 60_000),
   terminalActionRateLimitMax: intEnv('TERMINAL_ACTION_RATE_LIMIT_MAX', 10),
+  sseHeartbeatIntervalMs: intEnv('SSE_HEARTBEAT_INTERVAL_MS', 25000),
 
   llm: {
-    provider: process.env.LLM_PROVIDER || null, // anthropic | openai | gemini | codex | openrouter | minimax | mistral | ollama | grok
+    provider: process.env.LLM_PROVIDER || null, // litellm | openrouter | openai-compatible | lmstudio | ollama | other supported providers
     apiKey: process.env.LLM_API_KEY || null,
     model: process.env.LLM_MODEL || null,
     baseUrl: process.env.LLM_BASE_URL || process.env.OPENAI_BASE_URL || process.env.OLLAMA_BASE_URL || null,
     temperature: floatEnv('LLM_TEMPERATURE', 0.2),
     maxTokens: intEnv('LLM_MAX_TOKENS', 2000),
     timeoutMs: intEnv('LLM_TIMEOUT_MS', 90000),
-    openRouterSiteUrl: process.env.OPENROUTER_SITE_URL || 'https://git.wilkensxl.de/MrSphay/intelligence-terminal',
+    openRouterSiteUrl: process.env.OPENROUTER_SITE_URL || 'https://git.wilkensxl.de/Code-Inc/intelligence-terminal',
     openRouterAppName: process.env.OPENROUTER_APP_NAME || 'Intelligence Terminal',
   },
 

dashboard/public/jarvis.html

@@ -83,7 +83,7 @@ html,body{height:100%;background:var(--bg);color:var(--text);font-family:var(--s
 .sensor-actions{display:flex;gap:6px;align-items:center}
 .mini-btn{border:1px solid rgba(100,240,200,0.18);background:rgba(100,240,200,0.04);color:var(--dim);font-family:var(--mono);font-size:9px;padding:3px 6px;cursor:pointer}
 .mini-btn:hover{color:var(--accent);border-color:rgba(100,240,200,0.4)}
-.action-grid{display:grid;grid-template-columns:repeat(3,1fr);gap:6px;margin-bottom:10px}
+.action-grid{display:grid;grid-template-columns:repeat(4,1fr);gap:6px;margin-bottom:10px}
 .action-btn{border:1px solid rgba(68,204,255,0.24);background:rgba(68,204,255,0.06);color:var(--text);font-family:var(--mono);font-size:9px;padding:7px 6px;cursor:pointer;text-transform:uppercase;letter-spacing:.08em}
 .action-btn:hover{border-color:rgba(68,204,255,0.55);color:var(--accent2);background:rgba(68,204,255,0.12)}
 .action-btn[disabled]{opacity:.45;cursor:wait}
@@ -1641,6 +1641,17 @@ async function runTerminalAction(action){
       ].join('\n');
     }else if(action === 'brief'){
       terminalOutput = `> brief\n${payload.text || 'No briefing text returned.'}`;
+    }else if(action === 'memory'){
+      const events = payload.recentEvents || [];
+      const predictions = payload.predictions || [];
+      terminalOutput = [
+        '> memory',
+        `Store: ${payload.memory?.available ? 'available' : 'unavailable'}`,
+        `Recent events: ${events.length}`,
+        ...events.slice(0,4).map(e => `- ${e.kind}: ${e.name}${e.region ? ' [' + e.region + ']' : ''}`),
+        `Predictions: ${predictions.length}`,
+        ...predictions.slice(0,4).map(p => `- ${p.outcome_state || 'open'}: ${p.title}`)
+      ].join('\n');
     }else if(action === 'sweep'){
       terminalOutput = `> sweep\n${payload.status === 'already_running' ? 'Sweep already running.' : 'Sweep accepted. The dashboard will update when the sweep finishes.'}`;
     }
@@ -1707,6 +1718,7 @@ function renderRight(){
         <button class="action-btn" ${terminalBusy?'disabled':''} onclick="runTerminalAction('status')">Status</button>
         <button class="action-btn" ${terminalBusy?'disabled':''} onclick="runTerminalAction('sweep')">Sweep</button>
         <button class="action-btn" ${terminalBusy?'disabled':''} onclick="runTerminalAction('brief')">Brief</button>
+        <button class="action-btn" ${terminalBusy?'disabled':''} onclick="runTerminalAction('memory')">Memory</button>
       </div>
       <button class="mini-btn" style="margin-bottom:8px" onclick="configureTerminalActionToken()">Configure token</button>
       <div class="terminal-output">${terminalOutput.replace(/[&<>]/g,c=>({'&':'&amp;','<':'&lt;','>':'&gt;'}[c])).replace(/\n/g,'<br>')}</div>

docker-compose.yml

@@ -1,6 +1,6 @@
 services:
   intelligence-terminal:
-    image: git.wilkensxl.de/mrsphay/intelligence-terminal:latest
+    image: git.wilkensxl.de/code-inc/intelligence-terminal:latest
     build:
       context: .
       dockerfile: Dockerfile

docs/agent-handoff.md

@@ -1,6 +1,17 @@
 # Agent Handoff
 
-Last updated: 2026-05-17
+Last updated: 2026-07-03
+
+## Current Work
+
+- Canonical repository: `https://git.wilkensxl.de/Code-Inc/intelligence-terminal`
+- Production baseline before this work: `c159c83a0768486c8c6f445b458b760dba4ba385`
+- Active branch: `codex/issue-47-litellm-provider`
+- Issue: `#47 Add first-class LiteLLM provider and publish updated image`
+- LiteLLM is implemented through the OpenAI-compatible `/chat/completions` API and requires `LLM_BASE_URL`, `LLM_API_KEY`, and `LLM_MODEL`.
+- The build workflow now targets `git.wilkensxl.de/code-inc/intelligence-terminal` and publishes only from the production branch, not from pull requests.
+- Runner build/test/image verification and the first `code-inc` registry publication must be recorded here after the branch is pushed and merged.
+- Related maintenance: issue #21 tracks the failing security scan, #45 tracks the dependency workflow, and #46 tracks remaining namespace/handoff cleanup.
 
 ## Repository State
 
@@ -15,7 +26,7 @@ C:\Users\MrSphay\Documents\Codex\Crucix\intelligence-terminal
 Remotes:
 
 ```text
-origin   https://git.wilkensxl.de/MrSphay/intelligence-terminal.git
+origin   https://git.wilkensxl.de/Code-Inc/intelligence-terminal.git
 upstream https://github.com/calesthio/Crucix.git
 ```
 
@@ -25,23 +36,22 @@ Current branch tip:
 Run `git rev-parse HEAD` after clone/pull. This handoff was updated by the `docs: sync issue tracker and handoff` commit after the implementation commit below.
 ```
 
-Latest implementation commit before issue-sync documentation:
+Production baseline before the current LiteLLM work:
 
 ```text
-53470cc701ec322080a89d220aef449b25850590
+c159c83a0768486c8c6f445b458b760dba4ba385
 ```
 
-Both pushed branches currently point to this commit:
+The default production branch points to this commit before the current PR:
 
 ```text
 origin/codex/production-intelligence-terminal
-origin/main
 ```
 
 Gitea repository:
 
 ```text
-https://git.wilkensxl.de/MrSphay/intelligence-terminal
+https://git.wilkensxl.de/Code-Inc/intelligence-terminal
 ```
 
 Default branch observed through the Gitea API:
@@ -79,7 +89,7 @@ Rules applied from the kit:
 - `docker-compose.yml` uses the Gitea Registry image by default:
 
 ```text
-git.wilkensxl.de/mrsphay/intelligence-terminal:latest
+git.wilkensxl.de/code-inc/intelligence-terminal:latest
 ```
 
 ### API And Health
@@ -226,32 +236,27 @@ README includes:
 
 ## Registry And Images
 
-Registry image:
+Target registry image after the current production merge:
 
 ```text
-git.wilkensxl.de/mrsphay/intelligence-terminal
+git.wilkensxl.de/code-inc/intelligence-terminal
 ```
 
-Verified package tags through Gitea API:
+The legacy `mrsphay` package remains available. Verify these new `code-inc` tags after the current runner publication:
 
 ```text
 latest
-20260517
+YYYYMMDD
-e933586b220656a2858d2215b934b22d1f08a908
+<production-commit-sha>
-53470cc701ec322080a89d220aef449b25850590
 ```
 
-Successful pull test:
+Required pull verification after publication:
 
 ```bash
-docker pull git.wilkensxl.de/mrsphay/intelligence-terminal:latest
+docker pull git.wilkensxl.de/code-inc/intelligence-terminal:latest
 ```
 
-Observed digest:
+Record the resulting digest after the runner push.
-
-```text
-sha256:780a41413921bd9a676461eca1cd1372591f523be4b7c9513d9bc085cbe7922d
-```
 
 ## Gitea Actions
 
@@ -460,7 +465,7 @@ if ($env:GITEA_TOKEN) { "GITEA_TOKEN=set" } else { "GITEA_TOKEN=missing" }
 ```bash
 npm run test:unit
 docker compose --env-file .env.example config
-docker pull git.wilkensxl.de/mrsphay/intelligence-terminal:latest
+docker pull git.wilkensxl.de/code-inc/intelligence-terminal:latest
 ```
 
 6. Start with Dockge/Pangolin using the README compose example and a `.env` based on `.env.example`.
@@ -479,11 +484,11 @@ docker pull git.wilkensxl.de/mrsphay/intelligence-terminal:latest
 For deployment:
 
 ```bash
-docker pull git.wilkensxl.de/mrsphay/intelligence-terminal:latest
+docker pull git.wilkensxl.de/code-inc/intelligence-terminal:latest
 ```
 
 For a pinned deployment:
 
 ```bash
-docker pull git.wilkensxl.de/mrsphay/intelligence-terminal:20260517
+docker pull git.wilkensxl.de/code-inc/intelligence-terminal:YYYYMMDD
 ```

docs/release-checklist.md

@@ -3,7 +3,7 @@
 1. Confirm `.env.example`, README compose sample, and registry image name match.
 2. Run `npm run test:unit`.
 3. Run `docker compose config`.
-4. Build `git.wilkensxl.de/mrsphay/intelligence-terminal:latest`.
+4. Build `git.wilkensxl.de/code-inc/intelligence-terminal:latest`.
 5. Start the image and verify `/api/health`.
 6. Push branch to Gitea.
 7. Push `latest` and a dated image tag to the Gitea Registry.

docs/source-fetch-instrumentation.md

@@ -0,0 +1,21 @@
+# Source Fetch Instrumentation
+
+`safeFetch()` and `safeFetchText()` attribute requests to `/api/metrics.fetch.bySource`.
+
+Rules:
+
+- Prefer passing an explicit `source` option from source modules when the call has a clear Crucix source name.
+- If `source` is omitted, the shared helper infers a stable provider name from the request host.
+- Unknown hosts fall back to the lowercase host instead of the old `unknown` bucket.
+- Raw `fetch()` calls should be limited to cases where the shared helper cannot represent the protocol cleanly.
+
+Current raw-fetch exceptions:
+
+| Area | Reason |
+| --- | --- |
+| OAuth/session handshakes | Token exchange calls often need custom form bodies, credential headers, or status-specific diagnostics. |
+| Bot and alert delivery | Telegram/Discord alert calls are outbound operator notifications, not intelligence source health. |
+| LLM providers | Provider clients already track model/provider status separately from source fetch health. |
+| Dashboard browser calls | Browser-side `/api/*` and asset fetches are UI behavior, not source provider health. |
+
+When adding a new intelligence source, use `safeFetch(url, { source: 'SourceName' })` unless there is a documented exception.

lib/intelligence-store.mjs

@@ -2,6 +2,9 @@
 
 import { existsSync, mkdirSync, writeFileSync } from 'fs';
 import { dirname, join } from 'path';
+import { createHash } from 'crypto';
+
+const PREDICTION_STATES = new Set(['open', 'monitoring', 'observed', 'expired_unverified', 'invalidated']);
 
 export class IntelligenceStore {
   constructor(dbPath) {
@@ -30,15 +33,24 @@ export class IntelligenceStore {
         );
         CREATE TABLE IF NOT EXISTS predictions (
           id INTEGER PRIMARY KEY AUTOINCREMENT,
+          stable_id TEXT UNIQUE,
           created_at TEXT NOT NULL,
+          updated_at TEXT,
           title TEXT NOT NULL,
           type TEXT,
+          hypothesis TEXT,
+          evidence_json TEXT,
           confidence TEXT,
+          horizon TEXT,
+          outcome_state TEXT DEFAULT 'open',
+          outcome_json TEXT,
+          last_evaluated_at TEXT,
           source TEXT,
           payload_json TEXT NOT NULL
         );
         CREATE TABLE IF NOT EXISTS entities (
           id INTEGER PRIMARY KEY AUTOINCREMENT,
+          stable_id TEXT UNIQUE,
           first_seen TEXT NOT NULL,
           last_seen TEXT NOT NULL,
           name TEXT NOT NULL,
@@ -46,7 +58,21 @@ export class IntelligenceStore {
           count INTEGER DEFAULT 1,
           UNIQUE(name, kind)
         );
+        CREATE TABLE IF NOT EXISTS events (
+          id INTEGER PRIMARY KEY AUTOINCREMENT,
+          stable_id TEXT NOT NULL UNIQUE,
+          first_seen TEXT NOT NULL,
+          last_seen TEXT NOT NULL,
+          kind TEXT NOT NULL,
+          name TEXT NOT NULL,
+          region TEXT,
+          severity TEXT,
+          source TEXT,
+          evidence_json TEXT NOT NULL,
+          count INTEGER DEFAULT 1
+        );
       `);
+      this._migrate();
       this.available = true;
     } catch (err) {
       this.available = false;
@@ -71,24 +97,141 @@ export class IntelligenceStore {
       delta?.summary?.direction || null,
       JSON.stringify({ meta, delta: delta?.summary || null }),
     );
-    for (const idea of data.ideas || []) {
-      this.db.prepare(`INSERT INTO predictions (created_at, title, type, confidence, source, payload_json)
-        VALUES (?, ?, ?, ?, ?, ?)`).run(
-        timestamp,
-        idea.title || 'Untitled idea',
-        idea.type || null,
-        idea.confidence || null,
-        idea.source || data.ideasSource || null,
-        JSON.stringify(idea),
-      );
-    }
     this._recordEntities(data, timestamp);
+    this._recordEvents(data, delta, timestamp);
+    this.evaluatePredictions(data, timestamp);
+    this._recordPredictions(data, timestamp);
   }
 
   status() {
     return { available: this.available, path: this.dbPath, reason: this.reason };
   }
 
+  queryMemory({ q = '', limit = 25 } = {}) {
+    if (!this.available || !this.db) return { available: false, reason: this.reason, results: [] };
+    const safeLimit = Math.max(1, Math.min(100, Number(limit) || 25));
+    const term = String(q || '').trim();
+    const like = `%${term}%`;
+    const where = term
+      ? 'WHERE name LIKE ? OR region LIKE ? OR source LIKE ? OR kind LIKE ?'
+      : '';
+    const params = term ? [like, like, like, like, safeLimit] : [safeLimit];
+    const events = this.db.prepare(`
+      SELECT stable_id, first_seen, last_seen, kind, name, region, severity, source, count, evidence_json
+      FROM events
+      ${where}
+      ORDER BY last_seen DESC
+      LIMIT ?
+    `).all(...params).map(row => ({ ...row, evidence: parseJson(row.evidence_json, {}) }));
+    return { available: true, q: term, results: events };
+  }
+
+  listPredictions({ state = null, limit = 25 } = {}) {
+    if (!this.available || !this.db) return { available: false, reason: this.reason, predictions: [] };
+    const safeLimit = Math.max(1, Math.min(100, Number(limit) || 25));
+    const normalizedState = state && PREDICTION_STATES.has(String(state)) ? String(state) : null;
+    const rows = normalizedState
+      ? this.db.prepare(`SELECT * FROM predictions WHERE outcome_state = ? ORDER BY created_at DESC LIMIT ?`).all(normalizedState, safeLimit)
+      : this.db.prepare(`SELECT * FROM predictions ORDER BY created_at DESC LIMIT ?`).all(safeLimit);
+    return {
+      available: true,
+      predictions: rows.map(row => ({
+        stable_id: row.stable_id,
+        created_at: row.created_at,
+        updated_at: row.updated_at,
+        title: row.title,
+        type: row.type,
+        hypothesis: row.hypothesis,
+        confidence: row.confidence,
+        horizon: row.horizon,
+        outcome_state: row.outcome_state,
+        last_evaluated_at: row.last_evaluated_at,
+        source: row.source,
+        evidence: parseJson(row.evidence_json, []),
+        outcome: parseJson(row.outcome_json, null),
+      })),
+    };
+  }
+
+  evaluatePredictions(data, timestamp = new Date().toISOString()) {
+    if (!this.available || !this.db) return;
+    const rows = this.db.prepare(`
+      SELECT id, created_at, title, type, horizon, outcome_state, payload_json
+      FROM predictions
+      WHERE outcome_state IN ('open', 'monitoring')
+      ORDER BY created_at ASC
+      LIMIT 200
+    `).all();
+    for (const row of rows) {
+      const payload = parseJson(row.payload_json, {});
+      const evaluation = evaluatePredictionAgainstSweep(row, payload, data, timestamp);
+      this.db.prepare(`UPDATE predictions
+        SET outcome_state = ?, outcome_json = ?, last_evaluated_at = ?, updated_at = ?
+        WHERE id = ?`).run(
+        evaluation.state,
+        JSON.stringify(evaluation),
+        timestamp,
+        timestamp,
+        row.id,
+      );
+    }
+  }
+
+  _migrate() {
+    const columns = {
+      predictions: [
+        ['stable_id', 'TEXT'],
+        ['updated_at', 'TEXT'],
+        ['hypothesis', 'TEXT'],
+        ['evidence_json', 'TEXT'],
+        ['horizon', 'TEXT'],
+        ['outcome_state', "TEXT DEFAULT 'open'"],
+        ['outcome_json', 'TEXT'],
+        ['last_evaluated_at', 'TEXT'],
+      ],
+      entities: [
+        ['stable_id', 'TEXT'],
+      ],
+    };
+    for (const [table, defs] of Object.entries(columns)) {
+      for (const [name, type] of defs) {
+        try { this.db.exec(`ALTER TABLE ${table} ADD COLUMN ${name} ${type}`); } catch { }
+      }
+    }
+    try { this.db.exec(`CREATE UNIQUE INDEX IF NOT EXISTS idx_predictions_stable_id ON predictions(stable_id)`); } catch { }
+    try { this.db.exec(`CREATE UNIQUE INDEX IF NOT EXISTS idx_entities_stable_id ON entities(stable_id)`); } catch { }
+  }
+
+  _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 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,
+          horizon, outcome_state, source, payload_json
+        )
+        VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, 'open', ?, ?)
+        ON CONFLICT(stable_id) DO UPDATE SET
+          updated_at=excluded.updated_at,
+          confidence=excluded.confidence,
+          evidence_json=excluded.evidence_json,
+          payload_json=excluded.payload_json`).run(
+        stableId,
+        timestamp,
+        timestamp,
+        title,
+        idea.type || null,
+        idea.rationale || idea.text || title,
+        JSON.stringify(evidence),
+        idea.confidence || null,
+        idea.horizon || null,
+        idea.source || data.ideasSource || null,
+        JSON.stringify(idea),
+      );
+    }
+  }
+
   _recordEntities(data, timestamp) {
     const names = [];
     for (const item of data.acled?.deadliestEvents || []) {
@@ -99,14 +242,154 @@ export class IntelligenceStore {
       if (item.region) names.push([item.region, 'region']);
     }
     for (const [name, kind] of names.slice(0, 200)) {
-      this.db.prepare(`INSERT INTO entities (first_seen, last_seen, name, kind, count)
+      const cleanName = String(name).slice(0, 160);
-        VALUES (?, ?, ?, ?, 1)
+      this.db.prepare(`INSERT INTO entities (stable_id, first_seen, last_seen, name, kind, count)
+        VALUES (?, ?, ?, ?, ?, 1)
         ON CONFLICT(name, kind) DO UPDATE SET last_seen=excluded.last_seen, count=count+1`).run(
+        stableId('entity', kind, cleanName),
         timestamp,
         timestamp,
-        String(name).slice(0, 160),
+        cleanName,
         kind,
       );
     }
   }
+
+  _recordEvents(data, delta, timestamp) {
+    const events = extractEvents(data, delta);
+    for (const event of events.slice(0, 300)) {
+      this.db.prepare(`INSERT INTO events (
+          stable_id, first_seen, last_seen, kind, name, region, severity, source, evidence_json, count
+        )
+        VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, 1)
+        ON CONFLICT(stable_id) DO UPDATE SET
+          last_seen=excluded.last_seen,
+          severity=COALESCE(excluded.severity, severity),
+          evidence_json=excluded.evidence_json,
+          count=count+1`).run(
+        event.stable_id,
+        timestamp,
+        timestamp,
+        event.kind,
+        event.name,
+        event.region || null,
+        event.severity || null,
+        event.source || null,
+        JSON.stringify(event.evidence || {}),
+      );
+    }
+  }
+}
+
+function stableId(...parts) {
+  const input = parts.map(part => String(part || '').trim().toLowerCase()).join('|');
+  return createHash('sha256').update(input).digest('hex').slice(0, 24);
+}
+
+function parseJson(value, fallback) {
+  try { return value ? JSON.parse(value) : fallback; } catch { return fallback; }
+}
+
+function extractEvents(data, delta) {
+  const events = [];
+  const push = ({ kind, name, region, severity, source, evidence }) => {
+    if (!kind || !name) return;
+    events.push({
+      stable_id: stableId('event', kind, name, region || source || ''),
+      kind,
+      name: String(name).slice(0, 240),
+      region: region ? String(region).slice(0, 120) : null,
+      severity: severity || null,
+      source: source || null,
+      evidence: evidence || {},
+    });
+  };
+
+  for (const item of data.acled?.deadliestEvents || []) {
+    push({
+      kind: 'conflict',
+      name: item.event_type || item.sub_event_type || item.location || item.country,
+      region: item.country || item.location,
+      severity: Number(item.fatalities || 0) > 0 ? 'high' : 'medium',
+      source: 'ACLED',
+      evidence: item,
+    });
+  }
+  for (const item of data.tg?.urgent || []) {
+    push({
+      kind: 'osint',
+      name: (item.text || '').slice(0, 120),
+      region: item.region || 'OSINT',
+      severity: 'high',
+      source: item.channel || item.chat || 'telegram',
+      evidence: item,
+    });
+  }
+  for (const item of data.newsFeed || data.news || []) {
+    if (!item.urgent) continue;
+    push({
+      kind: 'news',
+      name: item.headline || item.title,
+      region: item.region,
+      severity: 'medium',
+      source: item.source,
+      evidence: item,
+    });
+  }
+  for (const signal of delta?.signals?.new || []) {
+    push({
+      kind: 'delta',
+      name: signal.label || signal.reason || signal.key,
+      region: signal.region,
+      severity: signal.severity || 'medium',
+      source: 'delta',
+      evidence: signal,
+    });
+  }
+  return events;
+}
+
+function evaluatePredictionAgainstSweep(row, payload, data, timestamp) {
+  const terms = [
+    row.title,
+    payload.ticker,
+    ...(Array.isArray(payload.signals) ? payload.signals : []),
+  ].filter(Boolean).map(v => String(v).toLowerCase());
+  const evidenceText = [
+    ...(data.tSignals || []),
+    ...(data.newsFeed || []).slice(0, 40).map(n => `${n.source || ''} ${n.headline || n.title || ''}`),
+    ...(data.tg?.urgent || []).slice(0, 20).map(p => p.text || ''),
+  ].join('\n').toLowerCase();
+  const matched = terms.filter(term => term.length >= 4 && evidenceText.includes(term.slice(0, 60)));
+  const expired = predictionExpired(row.created_at, row.horizon, timestamp);
+  const state = matched.length
+    ? 'observed'
+    : expired
+      ? 'expired_unverified'
+      : 'monitoring';
+  return {
+    state,
+    evaluated_at: timestamp,
+    matched_terms: matched.slice(0, 10),
+    expired,
+    reason: matched.length
+      ? 'Current sweep contains matching evidence terms.'
+      : expired
+        ? 'Prediction horizon elapsed without matching evidence.'
+        : 'Prediction remains open for future sweeps.',
+  };
+}
+
+function predictionExpired(createdAt, horizon, nowIso) {
+  const created = new Date(createdAt).getTime();
+  const now = new Date(nowIso).getTime();
+  if (!Number.isFinite(created) || !Number.isFinite(now)) return false;
+  const text = String(horizon || '').toLowerCase();
+  const days = text.includes('intraday') ? 1
+    : text.includes('day') ? 7
+      : text.includes('week') ? 45
+        : text.includes('month') ? 180
+          : text.includes('strategic') ? 365
+            : 30;
+  return now - created > days * 24 * 60 * 60 * 1000;
 }

lib/llm/index.mjs

@@ -10,6 +10,7 @@ import { MistralProvider } from "./mistral.mjs";
 import { OllamaProvider } from "./ollama.mjs";
 import { GrokProvider } from "./grok.mjs";
 import { OpenAICompatibleProvider } from "./openai-compatible.mjs";
+import { LiteLLMProvider } from "./litellm.mjs";
 
 export { LLMProvider } from "./provider.mjs";
 export { AnthropicProvider } from "./anthropic.mjs";
@@ -22,6 +23,7 @@ export { MistralProvider } from "./mistral.mjs";
 export { OllamaProvider } from "./ollama.mjs";
 export { GrokProvider } from "./grok.mjs";
 export { OpenAICompatibleProvider } from "./openai-compatible.mjs";
+export { LiteLLMProvider } from "./litellm.mjs";
 
 /**
  * Create an LLM provider based on config.
@@ -66,6 +68,9 @@ export function createLLMProvider(llmConfig) {
         model: model || 'local-model',
         requiresApiKey: false,
       });
+    case "litellm":
+    case "lite-llm":
+      return new LiteLLMProvider(common);
     case "openrouter":
       return new OpenRouterProvider(common);
     case "gemini":

lib/llm/litellm.mjs

@@ -0,0 +1,32 @@
+// LiteLLM proxy provider using the OpenAI-compatible chat completions API.
+
+import { OpenAICompatibleProvider } from './openai-compatible.mjs';
+
+export class LiteLLMProvider extends OpenAICompatibleProvider {
+  constructor(config = {}) {
+    const baseUrl = config.baseUrl?.replace(/\/+$/, '') || null;
+    const model = config.model || null;
+
+    super({
+      ...config,
+      name: 'litellm',
+      baseUrl: baseUrl || 'http://localhost:4000/v1',
+      model: model || 'unconfigured',
+      requiresApiKey: true,
+    });
+
+    this.baseUrl = baseUrl;
+    this.model = model;
+  }
+
+  get isConfigured() {
+    return Boolean(this.baseUrl && this.apiKey && this.model);
+  }
+
+  get status() {
+    if (!this.baseUrl) return { state: 'misconfigured', reason: 'LLM_BASE_URL is required for LiteLLM' };
+    if (!this.apiKey) return { state: 'misconfigured', reason: 'LLM_API_KEY is required for LiteLLM' };
+    if (!this.model) return { state: 'misconfigured', reason: 'LLM_MODEL is required for LiteLLM' };
+    return { state: 'configured', provider: this.name, model: this.model, baseUrl: this.baseUrl };
+  }
+}

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/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/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"

server.mjs

@@ -292,6 +292,26 @@ app.get('/api/metrics', (req, res) => {
   });
 });
 
+app.get('/api/memory/search', (req, res) => {
+  const guard = authorizeTerminalAction(req, res, 'memory:search');
+  if (!guard.ok) return;
+  auditTerminalAction(req, 'memory:search', 'ok');
+  res.json(intelligenceStore.queryMemory({
+    q: req.query.q || '',
+    limit: req.query.limit || 25,
+  }));
+});
+
+app.get('/api/memory/predictions', (req, res) => {
+  const guard = authorizeTerminalAction(req, res, 'memory:predictions');
+  if (!guard.ok) return;
+  auditTerminalAction(req, 'memory:predictions', 'ok');
+  res.json(intelligenceStore.listPredictions({
+    state: req.query.state || null,
+    limit: req.query.limit || 25,
+  }));
+});
+
 app.post('/api/sweep', express.json(), (req, res) => {
   const guard = authorizeTerminalAction(req, res, 'sweep');
   if (!guard.ok) return;
@@ -318,10 +338,21 @@ app.post('/api/action', express.json(), (req, res) => {
     return res.json({ ok: true, action, status: 'ok', brief, text: brief });
   }
 
+  if (action === 'memory') {
+    auditTerminalAction(req, 'memory', 'ok');
+    return res.json({
+      ok: true,
+      action,
+      memory: intelligenceStore.status(),
+      recentEvents: intelligenceStore.queryMemory({ q: req.body?.q || '', limit: 8 }).results,
+      predictions: intelligenceStore.listPredictions({ limit: 8 }).predictions,
+    });
+  }
+
   if (action === 'sweep') return triggerSweepAction(req, res, 'action:sweep');
 
   auditTerminalAction(req, action || 'unknown', 'rejected', 'unknown_action');
-  return res.status(400).json({ ok: false, error: 'Unknown action', allowed: ['status', 'brief', 'sweep'], actions: ['status', 'brief', 'sweep'] });
+  return res.status(400).json({ ok: false, error: 'Unknown action', allowed: ['status', 'brief', 'memory', 'sweep'], actions: ['status', 'brief', 'memory', 'sweep'] });
 });
 
 // API: available locales
@@ -339,10 +370,24 @@ app.get('/events', (req, res) => {
     'Cache-Control': 'no-cache',
     'Connection': 'keep-alive',
     'Access-Control-Allow-Origin': '*',
+    'X-Accel-Buffering': 'no',
   });
+  res.write('retry: 10000\n');
   res.write('data: {"type":"connected"}\n\n');
+  const heartbeatMs = Math.max(5000, config.sseHeartbeatIntervalMs || 25000);
+  const heartbeat = setInterval(() => {
+    try {
+      res.write(`: heartbeat ${new Date().toISOString()}\n\n`);
+    } catch {
+      clearInterval(heartbeat);
+      sseClients.delete(res);
+    }
+  }, heartbeatMs);
   sseClients.add(res);
-  req.on('close', () => sseClients.delete(res));
+  req.on('close', () => {
+    clearInterval(heartbeat);
+    sseClients.delete(res);
+  });
 });
 
 function broadcast(data) {

test/fetch-utils.test.mjs

@@ -1,7 +1,7 @@
 import test from 'node:test';
 import assert from 'node:assert/strict';
 import { readFileSync } from 'node:fs';
-import { safeFetch, safeFetchText, getFetchMetrics } from '../apis/utils/fetch.mjs';
+import { safeFetch, safeFetchText, getFetchMetrics, inferFetchSource } from '../apis/utils/fetch.mjs';
 import { formatStaleAlert, shouldSendStaleAlert } from '../lib/stale-alerts.mjs';
 
 test('safeFetch reports HTML as degraded JSON response', async () => {
@@ -101,6 +101,63 @@ test('safeFetchText returns text and byte count', async () => {
   }
 });
 
+test('safeFetch attributes unlabelled requests to a stable provider source', async () => {
+  const originalFetch = globalThis.fetch;
+  globalThis.fetch = async () => ({
+    ok: true,
+    status: 200,
+    headers: { get: () => 'application/json' },
+    text: async () => '{"observations":[]}',
+  });
+  try {
+    const data = await safeFetch('https://api.fred.stlouisfed.org/fred/series/observations?series_id=VIXCLS', { retries: 0 });
+    assert.deepEqual(data, { observations: [] });
+    const bucket = getFetchMetrics().bySource.FRED;
+    assert.ok(bucket.requests >= 1);
+    assert.equal(bucket.lastStatus, 200);
+  } finally {
+    globalThis.fetch = originalFetch;
+  }
+});
+
+test('inferFetchSource returns provider names and host fallback', () => {
+  assert.equal(inferFetchSource('https://api.bls.gov/publicAPI/v2/timeseries/data/CPI'), 'BLS');
+  assert.equal(inferFetchSource('https://query1.finance.yahoo.com/v8/finance/chart/%5EGSPC'), 'YahooFinance');
+  assert.equal(inferFetchSource('https://unknown.example.test/path'), 'unknown.example.test');
+});
+
+test('SSE endpoint sends reconnect guidance and clears heartbeat timer', () => {
+  const server = readFileSync(new URL('../server.mjs', import.meta.url), 'utf8');
+  const config = readFileSync(new URL('../crucix.config.mjs', import.meta.url), 'utf8');
+  assert.match(config, /sseHeartbeatIntervalMs/);
+  assert.match(server, /retry: 10000\\n/);
+  assert.match(server, /setInterval\(\(\) =>/);
+  assert.match(server, /: heartbeat/);
+  assert.match(server, /clearInterval\(heartbeat\)/);
+  assert.match(server, /X-Accel-Buffering/);
+});
+
+test('intelligence store defines durable memory and prediction lifecycle tables', () => {
+  const store = readFileSync(new URL('../lib/intelligence-store.mjs', import.meta.url), 'utf8');
+  assert.match(store, /CREATE TABLE IF NOT EXISTS events/);
+  assert.match(store, /stable_id TEXT NOT NULL UNIQUE/);
+  assert.match(store, /hypothesis TEXT/);
+  assert.match(store, /evidence_json TEXT/);
+  assert.match(store, /outcome_state TEXT DEFAULT 'open'/);
+  assert.match(store, /evaluatePredictions/);
+  assert.match(store, /queryMemory/);
+  assert.match(store, /listPredictions/);
+});
+
+test('server exposes memory-backed query APIs and dashboard memory action', () => {
+  const server = readFileSync(new URL('../server.mjs', import.meta.url), 'utf8');
+  const html = readFileSync(new URL('../dashboard/public/jarvis.html', import.meta.url), 'utf8');
+  assert.match(server, /\/api\/memory\/search/);
+  assert.match(server, /\/api\/memory\/predictions/);
+  assert.match(server, /action === 'memory'/);
+  assert.match(html, /runTerminalAction\('memory'\)/);
+});
+
 test('terminal action endpoints avoid URL tokens and include hardening gates', () => {
   const server = readFileSync(new URL('../server.mjs', import.meta.url), 'utf8');
   assert.match(server, /app\.post\('\/api\/action'/);

test/llm-litellm.test.mjs

@@ -0,0 +1,76 @@
+import test from 'node:test';
+import assert from 'node:assert/strict';
+import { LiteLLMProvider } from '../lib/llm/litellm.mjs';
+import { createLLMProvider } from '../lib/llm/index.mjs';
+
+test('factory creates a configured LiteLLM provider', () => {
+  const provider = createLLMProvider({
+    provider: 'litellm',
+    baseUrl: 'https://llm.example.test/v1/',
+    apiKey: 'proxy-key',
+    model: 'private-model',
+  });
+
+  assert.ok(provider instanceof LiteLLMProvider);
+  assert.equal(provider.baseUrl, 'https://llm.example.test/v1');
+  assert.equal(provider.isConfigured, true);
+  assert.deepEqual(provider.status, {
+    state: 'configured',
+    provider: 'litellm',
+    model: 'private-model',
+    baseUrl: 'https://llm.example.test/v1',
+  });
+});
+
+test('LiteLLM requires base URL, API key, and model', () => {
+  const missingBaseUrl = new LiteLLMProvider({ apiKey: 'key', model: 'model' });
+  assert.equal(missingBaseUrl.isConfigured, false);
+  assert.equal(missingBaseUrl.status.reason, 'LLM_BASE_URL is required for LiteLLM');
+
+  const missingKey = new LiteLLMProvider({ baseUrl: 'https://llm.example.test/v1', model: 'model' });
+  assert.equal(missingKey.status.reason, 'LLM_API_KEY is required for LiteLLM');
+
+  const missingModel = new LiteLLMProvider({ baseUrl: 'https://llm.example.test/v1', apiKey: 'key' });
+  assert.equal(missingModel.status.reason, 'LLM_MODEL is required for LiteLLM');
+});
+
+test('LiteLLM sends bearer-authenticated OpenAI-compatible requests', async () => {
+  const provider = new LiteLLMProvider({
+    baseUrl: 'https://llm.example.test/v1',
+    apiKey: 'proxy-key',
+    model: 'private-model',
+    temperature: 0.15,
+    maxTokens: 512,
+  });
+  const originalFetch = globalThis.fetch;
+
+  globalThis.fetch = async (url, options) => {
+    assert.equal(url, 'https://llm.example.test/v1/chat/completions');
+    assert.equal(options.headers.Authorization, 'Bearer proxy-key');
+    assert.deepEqual(JSON.parse(options.body), {
+      model: 'private-model',
+      temperature: 0.15,
+      messages: [
+        { role: 'system', content: 'system' },
+        { role: 'user', content: 'user' },
+      ],
+      max_tokens: 512,
+    });
+    return {
+      ok: true,
+      json: async () => ({
+        choices: [{ message: { content: 'response' } }],
+        usage: { prompt_tokens: 7, completion_tokens: 11 },
+        model: 'private-model',
+      }),
+    };
+  };
+
+  try {
+    const result = await provider.complete('system', 'user');
+    assert.equal(result.text, 'response');
+    assert.deepEqual(result.usage, { inputTokens: 7, outputTokens: 11 });
+  } finally {
+    globalThis.fetch = originalFetch;
+  }
+});