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LLMIngress

LLMIngress

Route your AI agents across the model providers you already use.

llmingress.ai · Releases

[English] [简体中文]

LLMIngress Console workflow demo

Pre-release status GitHub stars CI status Apache 2.0 license

What is LLMIngress?

LLMIngress is an open-source, self-hosted AI Gateway for agents. Connect Provider API keys, subscription accounts, and local model servers, expose them through stable Virtual Model names, and control routing, access, limits, fallback, and usage from one Console.

  • 🔀 Route Virtual Models with fixed, cost_first, load_balance, weighted, least_time, or header-driven tag policies
  • 🚑 Track the health of each Provider connection and fall back before streaming begins
  • 🔐 Create a dedicated API key for each agent or tool, with explicit Virtual Model grants
  • 🛡️ Enforce optional budget, RPM, TPM, token, and concurrency limits
  • 📊 Track activity, tokens, latency, failures, fallback, connection health, and request cost
  • 🕶️ Keep prompts, successful responses, tool arguments, and credentials out of operational logs

Quick start

Self-hosted with Docker Compose

git clone https://github.com/IamNotShady/LLMIngress.git
cd LLMIngress
./scripts/deploy.sh

./scripts/deploy.sh writes a random ENCRYPTION_KEY into a gitignored .env when missing, then rebuilds and recreates the Compose containers so stale container-network state is repaired. The main branch uses the Compose project llmingress; every other branch gets an isolated project named llmingress-<normalized-branch-name>, including its own containers, network, and PostgreSQL volume. The selected branch's named volume is preserved across redeploys. Compose still uses a local-only default PostgreSQL password (llmi-local-db). Published ports bind to 127.0.0.1 by default. Keep a backup of each worktree's .env — the same ENCRYPTION_KEY is required to decrypt that branch's stored provider credentials.

Branch projects use the same published ports by default, so stop the active branch before starting another one, or override CONSOLE_PORT, GATEWAY_PORT, and POSTGRES_PORT. Compose derives the Console's public Gateway URL from GATEWAY_PORT; set GATEWAY_URL only when an explicit external URL is required.

Every repository startup path resolves each variable in the same order: the current shell, .env.local, .env, then its code default. ./scripts/deploy.sh passes both files to Compose when .env.local exists, while ./init.sh and pnpm dev use the shared repository env loader. DATABASE_URL is the host-process connection string; Docker uses COMPOSE_DATABASE_URL instead because the app container reaches PostgreSQL through the Compose service name.

Compose runs two containers: the app (Console, Gateway, and Worker in one process group) and PostgreSQL.

Endpoint Address Purpose
Console http://localhost:3000 Configure and observe LLMIngress
Gateway http://localhost:4000 Serve API key traffic
PostgreSQL localhost:55432 Store configuration and operational metadata
Worker Inside the app container Refresh models, probe connections and quota, and synchronize prices

Runtime and port overrides are documented in .env.example.

Send your first request

Open http://localhost:3000, create the administrator password, then:

  1. Add a Provider connection.
  2. Create a Virtual Model with at least one candidate.
  3. Create an API key allowed to use that Virtual Model.
  4. Copy the one-time llmi_ API key.
curl http://localhost:4000/v1/chat/completions \
  --header "Authorization: Bearer llmi_your_api_key" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "your-virtual-model",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Providers

LLMIngress supports remote API keys, subscription OAuth, and local model servers. The current built-in templates are:

Connection type Built-in templates
Subscription Claude Code, OpenAI Codex, Grok, MiniMax Coding Plan
API key Anthropic, AWS Bedrock, BytePlus ModelArk, Cerebras, ClinePass, Command Code, DeepSeek, Fireworks AI, GLM Coding Plan, Google Gemini, Groq, Kimi Coding Plan, MiniMax, Mistral, Mistral Vibe, Moonshot/Kimi, NousResearch, NVIDIA NIM, Ollama Cloud, OpenAI, OpenCode Go, OpenRouter, Qwen, Qwen Token Plan, xAI, Xiaomi MiMo, Xiaomi MiMo Token Plan, Z.ai
Local Ollama, LM Studio, llama.cpp

Model refresh can enrich Provider catalogs with capability and price data from models.dev, OpenRouter, LiteLLM, and Vercel. Missing metadata remains unknown, and manual values take precedence.

Health belongs to a Provider connection: each API key or OAuth token is checked independently, while a Local Provider has one logical connection. Confirmed unhealthy connections are filtered from routing until a successful probe recovers them.

Providers that report upstream usage — subscription windows, monthly budgets, or token plans — get a periodic quota probe, and the Console shows the remaining quota per connection.

Gateway APIs

API keys use the same Virtual Model grants across all supported protocols:

Protocol Endpoint
OpenAI Chat Completions POST /v1/chat/completions
OpenAI Responses POST /v1/responses
Anthropic Messages POST /v1/messages
Virtual Model discovery GET /v1/models

Provider payloads remain protocol-native. LLMIngress replaces the Virtual Model name with the selected Provider model while preserving the Provider request and response contract.

Gateway health endpoints do not require an API key:

Endpoint Purpose
GET /health/live Process liveness
GET /health/ready Database and configuration readiness
GET /health Readiness-compatible alias

How it works

  • Gateway authenticates API keys, enforces enabled limits, resolves Virtual Models, executes fallback, and records request metadata.
  • Console owns configuration and operational views. It does not proxy API key traffic or call Providers.
  • Worker performs model discovery, exact Provider-connection probes, upstream quota probes, and price synchronization.
  • PostgreSQL stores durable configuration, jobs, usage, cost, fallback, and connection health.

Local development

LLMIngress uses Node.js 24, pnpm 11.5.1, and PostgreSQL 18.4.

pnpm install
cp .env.example .env.local
# Set ENCRYPTION_KEY (e.g. openssl rand -base64 32) and confirm DATABASE_URL / TEST_DATABASE_URL.
pnpm run db:migrate
./init.sh

To exercise the production-shaped stack from a checkout, run ./scripts/deploy.sh. Compose builds one multi-role application image, runs it as a single app container alongside PostgreSQL (published on 127.0.0.1:55432 for development).

./init.sh runs lint, type-checking, unit tests, and the build before starting Console, Gateway, and Worker. pnpm dev uses the same environment-file precedence without the verification gate. The standalone verification commands are:

pnpm run verify
pnpm run verify:features

The project is pre-release. The current 0001_core_baseline.sql schema is authoritative; databases created from older development migration histories should be recreated rather than upgraded in place.

Quick links

Contributing

Read AGENTS.md and the coding guide before changing behavior. Work on one feature at a time, write unit and E2E coverage before implementation, and run both verification commands before marking a feature complete.

License

Apache License 2.0

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Self-hosted AI gateway for agents — route providers, virtual models, limits, and usage from one console.

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