feat: add LiteLLM provider and publish Code-Inc image #48

Merged
MrSphay merged 1 commits from codex/issue-47-litellm-provider into codex/production-intelligence-terminal 2026-07-03 21:08:48 +00:00
13 changed files with 175 additions and 50 deletions

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@@ -18,7 +18,7 @@ Production-ready Crucix fork for Docker, Dockge, Pangolin, local OSINT sweeps, s
- `npm run test:unit` - `npm run test:unit`
- `npm test` - `npm test`
- `docker compose config` - `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. 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.

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@@ -16,7 +16,7 @@ TERMINAL_ACTION_RATE_LIMIT_MAX=10
BRIEF_VERBOSITY=standard BRIEF_VERBOSITY=standard
# LLM layer # 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_PROVIDER=openrouter
LLM_BASE_URL=https://openrouter.ai/api/v1 LLM_BASE_URL=https://openrouter.ai/api/v1
LLM_API_KEY= LLM_API_KEY=
@@ -24,10 +24,11 @@ LLM_MODEL=openrouter/free
LLM_TEMPERATURE=0.2 LLM_TEMPERATURE=0.2
LLM_MAX_TOKENS=2000 LLM_MAX_TOKENS=2000
LLM_TIMEOUT_MS=90000 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 OPENROUTER_APP_NAME=Intelligence Terminal
# Local OpenAI-compatible examples # 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 # 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 # 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 # Generic: LLM_PROVIDER=openai-compatible, LLM_BASE_URL=http://host.docker.internal:8000/v1, LLM_MODEL=your-model

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

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@@ -18,8 +18,8 @@ Intelligence Terminal is a Docker-first Crucix fork for home-server OSINT, marke
- Unit tests: `npm run test:unit` - Unit tests: `npm run test:unit`
- Full tests: `npm test` - Full tests: `npm test`
- Compose validation: `docker compose config` - 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 ## 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`.

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@@ -4,8 +4,8 @@
**Self-hosted intelligence dashboard. 27 open sources. Docker-first. No telemetry.** **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) [![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) [![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. > **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. > 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. > 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. 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 ```bash
# 1. Clone the repo # 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 cd intelligence-terminal
# 2. Install dependencies (just Express) # 2. Install dependencies (just Express)
@@ -92,7 +92,7 @@ The dashboard opens automatically at `http://localhost:3117` and immediately beg
### Docker ### Docker
```bash ```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. 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 ```yaml
services: services:
intelligence-terminal: intelligence-terminal:
image: git.wilkensxl.de/mrsphay/intelligence-terminal:latest image: git.wilkensxl.de/code-inc/intelligence-terminal:latest
container_name: intelligence-terminal container_name: intelligence-terminal
env_file: env_file:
- path: .env - path: .env
@@ -146,7 +146,7 @@ LLM_MODEL=openrouter/free
LLM_TEMPERATURE=0.2 LLM_TEMPERATURE=0.2
LLM_MAX_TOKENS=2000 LLM_MAX_TOKENS=2000
LLM_TIMEOUT_MS=90000 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 OPENROUTER_APP_NAME=Intelligence Terminal
FRED_API_KEY= FRED_API_KEY=
@@ -169,6 +169,12 @@ DISCORD_WEBHOOK_URL=
Local LLM examples: Local LLM examples:
```env ```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 # LM Studio
LLM_PROVIDER=lmstudio LLM_PROVIDER=lmstudio
LLM_BASE_URL=http://host.docker.internal:1234/v1 LLM_BASE_URL=http://host.docker.internal:1234/v1
@@ -288,10 +294,10 @@ Scenario states are `dormant`, `watching`, `building`, and `confirmed`. The dash
```bash ```bash
docker login git.wilkensxl.de -u MrSphay 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. 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.
@@ -380,7 +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: Connect cloud or local OpenAI-compatible LLM providers for enhanced analysis:
- **AI trade ideas** — quantitative analyst producing 5-8 actionable ideas citing specific data - **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 - **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. - Graceful fallback — when LLM is unavailable, a rule-based engine takes over alert evaluation. LLM failures never crash the sweep cycle.
Primary env keys: Primary env keys:
@@ -625,7 +631,7 @@ All settings are in `.env` with sensible defaults:
| `STALE_DATA_MAX_AGE_MINUTES` | `60` | Data age threshold for stale health state | | `STALE_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 | | `STALE_ALERT_COOLDOWN_MINUTES` | `60` | Minimum time between repeated operator stale-data alerts |
| `DASHBOARD_URL` | local URL | Dashboard URL included in operator 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_API_KEY` | — | API key (not needed for codex) |
| `LLM_MODEL` | per-provider default | Override model selection | | `LLM_MODEL` | per-provider default | Override model selection |
| `TELEGRAM_BOT_TOKEN` | disabled | For Telegram alerts + bot commands | | `TELEGRAM_BOT_TOKEN` | disabled | For Telegram alerts + bot commands |
@@ -751,7 +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: 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 ## Upstream And License

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@@ -32,14 +32,14 @@ export default {
sseHeartbeatIntervalMs: intEnv('SSE_HEARTBEAT_INTERVAL_MS', 25000), sseHeartbeatIntervalMs: intEnv('SSE_HEARTBEAT_INTERVAL_MS', 25000),
llm: { 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, apiKey: process.env.LLM_API_KEY || null,
model: process.env.LLM_MODEL || null, model: process.env.LLM_MODEL || null,
baseUrl: process.env.LLM_BASE_URL || process.env.OPENAI_BASE_URL || process.env.OLLAMA_BASE_URL || null, baseUrl: process.env.LLM_BASE_URL || process.env.OPENAI_BASE_URL || process.env.OLLAMA_BASE_URL || null,
temperature: floatEnv('LLM_TEMPERATURE', 0.2), temperature: floatEnv('LLM_TEMPERATURE', 0.2),
maxTokens: intEnv('LLM_MAX_TOKENS', 2000), maxTokens: intEnv('LLM_MAX_TOKENS', 2000),
timeoutMs: intEnv('LLM_TIMEOUT_MS', 90000), 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', openRouterAppName: process.env.OPENROUTER_APP_NAME || 'Intelligence Terminal',
}, },

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

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@@ -1,6 +1,17 @@
# Agent Handoff # 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 ## Repository State
@@ -15,7 +26,7 @@ C:\Users\MrSphay\Documents\Codex\Crucix\intelligence-terminal
Remotes: Remotes:
```text ```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 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. 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 ```text
53470cc701ec322080a89d220aef449b25850590 c159c83a0768486c8c6f445b458b760dba4ba385
``` ```
Both pushed branches currently point to this commit: The default production branch points to this commit before the current PR:
```text ```text
origin/codex/production-intelligence-terminal origin/codex/production-intelligence-terminal
origin/main
``` ```
Gitea repository: Gitea repository:
```text ```text
https://git.wilkensxl.de/MrSphay/intelligence-terminal https://git.wilkensxl.de/Code-Inc/intelligence-terminal
``` ```
Default branch observed through the Gitea API: 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: - `docker-compose.yml` uses the Gitea Registry image by default:
```text ```text
git.wilkensxl.de/mrsphay/intelligence-terminal:latest git.wilkensxl.de/code-inc/intelligence-terminal:latest
``` ```
### API And Health ### API And Health
@@ -226,32 +236,27 @@ README includes:
## Registry And Images ## Registry And Images
Registry image: Target registry image after the current production merge:
```text ```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 ```text
latest latest
20260517 YYYYMMDD
e933586b220656a2858d2215b934b22d1f08a908 <production-commit-sha>
53470cc701ec322080a89d220aef449b25850590
``` ```
Successful pull test: Required pull verification after publication:
```bash ```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 ## Gitea Actions
@@ -460,7 +465,7 @@ if ($env:GITEA_TOKEN) { "GITEA_TOKEN=set" } else { "GITEA_TOKEN=missing" }
```bash ```bash
npm run test:unit npm run test:unit
docker compose --env-file .env.example config 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`. 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: For deployment:
```bash ```bash
docker pull git.wilkensxl.de/mrsphay/intelligence-terminal:latest docker pull git.wilkensxl.de/code-inc/intelligence-terminal:latest
``` ```
For a pinned deployment: For a pinned deployment:
```bash ```bash
docker pull git.wilkensxl.de/mrsphay/intelligence-terminal:20260517 docker pull git.wilkensxl.de/code-inc/intelligence-terminal:YYYYMMDD
``` ```

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

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

32
lib/llm/litellm.mjs Normal file
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@@ -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 };
}
}

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@@ -12,7 +12,7 @@
"brief:save": "node apis/save-briefing.mjs", "brief:save": "node apis/save-briefing.mjs",
"diag": "node diag.mjs", "diag": "node diag.mjs",
"test": "npm run test:unit", "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", "compose:config": "docker compose config",
"clean": "node scripts/clean.mjs", "clean": "node scripts/clean.mjs",
"fresh-start": "npm run clean && npm start" "fresh-start": "npm run clean && npm start"

76
test/llm-litellm.test.mjs Normal file
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@@ -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;
}
});