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| title: Multi-LLM API Gateway | |
| emoji: 🛡️ | |
| colorFrom: indigo | |
| colorTo: red | |
| sdk: docker | |
| pinned: false | |
| license: apache-2.0 | |
| short_description: 'Secure Multi-LLM Gateway — (Streamable HTTP / SSE)' | |
| # Multi-LLM API Gateway | |
| — or Universal MCP Hub (Sandboxed) | |
| — or secure AI wrapper with dual interface: REST + MCP | |
| aka: a clean, secure starting point for your own projects. | |
| Pick the description that fits your use case. They're all correct. | |
| > A production-grade **the-thing** that actually thinks about security. | |
| > Built on [PyFundaments](PyFundaments.md) — running on **simpleCity**. | |
| ``` | |
| No key → no tool → no crash → no exposed secrets | |
| ``` | |
| > [!WARNING] | |
| > Most MCP servers are prompts dressed up as servers. This one has a real architecture. | |
| --- | |
| > [!IMPORTANT] | |
| > This project is under active development — always use the latest release from [Codey Lab](https://github.com/Codey-LAB/Multi-LLM-API-Gateway) *(more stable builds land here first)*. | |
| > This repo ([DEV](https://github.com/VolkanSah/Multi-LLM-API-Gateway)) is where the chaos happens. 🔬 A ⭐ on the repos will be cool 😙 | |
| --- | |
| ## Why this exists | |
| The AI ecosystem is full of servers with hardcoded keys, `os.environ` scattered everywhere, zero sandboxing. One misconfigured fork and your API keys are gone. | |
| This is exactly the kind of negligence (and worse — outright fraud) that [Wall of Shames](https://github.com/Wall-of-Shames) documents: fake "AI tools" exploiting non-technical users — API wrappers dressed up as custom models, Telegram payment funnels, bought stars. If you build on open source, you should know this exists. | |
| This hub is the antidote: | |
| - **Structural sandboxing** — `app/*` can never touch `fundaments/` or `.env`. Not by convention. By design. | |
| - **Guardian pattern** — `main.py` is the only process that reads secrets. It injects validated services as a dict. `app/*` never sees the raw environment. | |
| - **Graceful degradation** — No key? Tool doesn't register. Server still starts. No crash, no error, no empty `None` floating around. | |
| - **Single source of truth** — All tool/provider/model config lives in `app/.pyfun`. Adding a provider = edit one file. No code changes. | |
| --- | |
| ## Two Interfaces — One Server | |
| This hub exposes **two completely independent interfaces** on the same hypercorn instance: | |
| ``` | |
| POST /api → REST interface — for custom clients, desktop apps, CMS plugins | |
| GET+POST /mcp → MCP interface — for Claude Desktop, Cursor, Windsurf, any MCP client | |
| GET / → Health check — uptime, status | |
| ``` | |
| They share the same tool registry, provider config, and fallback chain. Adding a tool once makes it available on both interfaces automatically. | |
| ### REST API (`/api`) | |
| Simple JSON POST — no protocol overhead, works with any HTTP client: | |
| ```json | |
| POST /api | |
| {"tool": "llm_complete", "params": {"prompt": "Hello", "provider": "anthropic"}} | |
| ``` | |
| Used by: Desktop Client (`DESKTOP_CLIENT/hub.py`), WordPress plugin, any custom integration. | |
| ### MCP Interface (`/mcp`) | |
| Full MCP protocol — tool discovery, structured calls, streaming responses. | |
| **Primary transport: Streamable HTTP** (MCP spec 2025-11-25) | |
| **Fallback transport: SSE** (legacy, configurable via `.pyfun`) | |
| Configured via `HUB_TRANSPORT` in `app/.pyfun [HUB]`: | |
| ```ini | |
| HUB_TRANSPORT = "streamable-http" # default — MCP spec 2025-11-25 | |
| # HUB_TRANSPORT = "sse" # legacy fallback for older clients | |
| ``` | |
| Used by: Claude Desktop, Cursor, Windsurf, any MCP-compatible client. | |
| --- | |
| ## Architecture | |
| ``` | |
| main.py (Guardian) | |
| │ | |
| │ reads .env / HF Secrets | |
| │ initializes fundaments/* conditionally | |
| │ injects validated services as dict | |
| │ | |
| └──► app/app.py (Orchestrator, sandboxed) | |
| │ | |
| │ unpacks fundaments ONCE, at startup, never stores globally | |
| │ starts hypercorn (async ASGI) | |
| │ routes: GET / | POST /api | /mcp (transport-dependent) | |
| │ | |
| ├── app/mcp.py ← FastMCP + transport handler (Streamable HTTP / SSE) | |
| ├── app/tools.py ← Tool registry (key-gated) | |
| ├── app/providers.py ← LLM + Search execution + fallback chain | |
| ├── app/models.py ← Model limits, costs, capabilities | |
| ├── app/config.py ← .pyfun parser (single source of truth) | |
| └── app/db_sync.py ← Internal SQLite IPC (app/* state only) | |
| ≠ fundaments/postgresql.py (Guardian-only) | |
| ``` | |
| **The sandbox is structural:** | |
| ```python | |
| # app/app.py — fundaments unpacked ONCE, NEVER stored globally | |
| async def start_application(fundaments: Dict[str, Any]) -> None: | |
| config_service = fundaments["config"] | |
| db_service = fundaments["db"] # None if not configured | |
| encryption_service = fundaments["encryption"] # None if keys missing | |
| access_control_service = fundaments["access_control"] | |
| ... | |
| # From here: app/* reads its own config from app/.pyfun only. | |
| # fundaments are never passed into other app/* modules. | |
| ``` | |
| `app/app.py` never calls `os.environ`. Never imports from `fundaments/`. Never reads `.env`. | |
| This isn't documentation. It's enforced by the import structure. | |
| ### Why Quart + hypercorn? | |
| **Quart** is async Flask — fully `async/await` native. FastMCP's handlers are async; mixing sync Flask would require thread hacks. With Quart, `/mcp` hands off directly to FastMCP — no bridging, no blocking. | |
| **hypercorn** is an ASGI server (vs. waitress/gunicorn which are WSGI). WSGI servers handle one request per thread — wrong for long-lived MCP connections. hypercorn handles both Streamable HTTP and SSE natively, and runs without extra config on HuggingFace Spaces. HTTP/2 support (`config.h2 = True`) is built-in — relevant for Streamable HTTP performance at scale. | |
| The `/mcp` route in `app.py` remains the natural interception point regardless of transport — auth checks, rate limiting, and logging can all be added there before the request reaches FastMCP. | |
| --- | |
| ## Two Databases — One Architecture | |
| ``` | |
| ┌─────────────────────────────────────────────────────────────┐ | |
| │ Guardian Layer (fundaments/*) │ | |
| │ │ | |
| │ postgresql.py → Cloud DB (e.g. Neon, Supabase) │ | |
| │ asyncpg pool, SSL enforced │ | |
| │ │ | |
| │ user_handler.py → SQLite (users + sessions tables) │ | |
| │ PBKDF2-SHA256 password hashing │ | |
| │ Session validation incl. IP + UserAgent │ | |
| │ Account lockout after 5 failed attempts │ | |
| │ │ | |
| └──────────────────────┬──────────────────────────────────────┘ | |
| │ inject as fundaments dict | |
| ▼ | |
| ┌─────────────────────────────────────────────────────────────┐ | |
| │ App Layer (app/*) │ | |
| │ │ | |
| │ db_sync.py → SQLite (hub_state + tool_cache tables) │ | |
| │ aiosqlite (async, non-blocking) │ | |
| │ NEVER touches users/sessions tables │ | |
| │ Relocated to /tmp/ on HF Spaces auto │ | |
| │ │ | |
| └─────────────────────────────────────────────────────────────┘ | |
| ``` | |
| **Table ownership — hard rule:** | |
| | Table | Owner | Access | | |
| | :--- | :--- | :--- | | |
| | `users` | `fundaments/user_handler.py` | Guardian only | | |
| | `sessions` | `fundaments/user_handler.py` | Guardian only | | |
| | `hub_state` | `app/db_sync.py` | app/* only | | |
| | `tool_cache` | `app/db_sync.py` | app/* only | | |
| | `hub_results` | PostgreSQL / Guardian | via `persist_result` tool | | |
| --- | |
| ## Tools | |
| Tools register at startup — only if the required API key exists. No key, no tool. Server always starts. | |
| | ENV Secret | Tool | Notes | | |
| | :--- | :--- | :--- | | |
| | `ANTHROPIC_API_KEY` | `llm_complete` | Claude Haiku / Sonnet / Opus | | |
| | `GEMINI_API_KEY` | `llm_complete` | Gemini 2.0 / 2.5 / 3.x Flash & Pro | | |
| | `OPENROUTER_API_KEY` | `llm_complete` | 100+ models via OpenRouter | | |
| | `HF_TOKEN` | `llm_complete` | HuggingFace Inference API | | |
| | `BRAVE_API_KEY` | `web_search` | Independent web index | | |
| | `TAVILY_API_KEY` | `web_search` | AI-optimized search with synthesized answers | | |
| | `DATABASE_URL` | `cloud DB` | e.g. Neon, Supabase | | |
| | `DATABASE_URL` | `db_query`, `persist_result` | SQLite read + PostgreSQL write | | |
| | *(always)* | `list_active_tools` | Shows key names only — never values | | |
| | *(always)* | `health_check` | Status + uptime + active transport | | |
| | *(always)* | `get_model_info` | Limits, costs, capabilities per model | | |
| For all key names see [`app/.pyfun`](app/.pyfun). | |
| **Tools are configured in `.pyfun` — including system prompts:** | |
| ```ini | |
| [TOOL.code_review] | |
| active = "true" | |
| description = "Review code for bugs, security issues and improvements" | |
| provider_type = "llm" | |
| default_provider = "anthropic" | |
| timeout_sec = "60" | |
| system_prompt = "You are an expert code reviewer. Analyze the given code for bugs, security issues, and improvements. Be specific and concise." | |
| [TOOL.code_review_END] | |
| ``` | |
| Current built-in tools: `llm_complete`, `code_review`, `summarize`, `translate`, `web_search`, `db_query` | |
| Future hooks (commented, ready): `image_gen`, `code_exec`, `shellmaster_2.0`, Discord, GitHub webhooks | |
| --- | |
| ## LLM Fallback Chain | |
| All LLM providers share one `llm_complete` tool. If a provider fails, the hub walks the fallback chain from `.pyfun`: | |
| ``` | |
| e.g. anthropic → gemini → openrouter → huggingface | |
| ``` | |
| ```ini | |
| [LLM_PROVIDER.anthropic] | |
| fallback_to = "gemini" | |
| [LLM_PROVIDER.anthropic_END] | |
| [LLM_PROVIDER.gemini] | |
| fallback_to = "openrouter" | |
| [LLM_PROVIDER.gemini_END] | |
| ``` | |
| Same pattern applies to search providers (`brave → tavily`). | |
| --- | |
| ## Quick Start | |
| ### HuggingFace Spaces (recommended) | |
| 1. Fork / duplicate this Space | |
| 2. Go to **Settings → Variables and secrets** | |
| 3. Add the API keys you have (any subset works) | |
| 4. Space starts automatically — only tools with valid keys register | |
| [→ Live Demo Space](https://huggingface.co/spaces/codey-lab/Multi-LLM-API-Gateway) (no LLM keys set) | |
| ### Local / Docker | |
| ```bash | |
| git clone https://github.com/VolkanSah/Multi-LLM-API-Gateway | |
| cd Multi-LLM-API-Gateway | |
| cp example-mcp___.env .env | |
| # fill in your keys | |
| pip install -r requirements.txt | |
| python main.py | |
| ``` | |
| Minimum required ENV vars (everything else is optional): | |
| ```env | |
| PYFUNDAMENTS_DEBUG="" | |
| LOG_LEVEL="INFO" | |
| LOG_TO_TMP="" | |
| ENABLE_PUBLIC_LOGS="true" | |
| HF_TOKEN="" | |
| HUB_SPACE_URL="" | |
| ``` | |
| Transport is configured in `app/.pyfun [HUB]` — not via ENV. | |
| --- | |
| ## Connect an MCP Client | |
| ### Streamable HTTP (default — MCP spec 2025-11-25) | |
| ```json | |
| { | |
| "mcpServers": { | |
| "universal-mcp-hub": { | |
| "url": "https://YOUR_USERNAME-universal-mcp-hub.hf.space/mcp" | |
| } | |
| } | |
| } | |
| ``` | |
| ### Streamable HTTP — Private Space (with HF token) | |
| ```json | |
| { | |
| "mcpServers": { | |
| "universal-mcp-hub": { | |
| "url": "https://YOUR_USERNAME-universal-mcp-hub.hf.space/mcp", | |
| "headers": { | |
| "Authorization": "Bearer hf_..." | |
| } | |
| } | |
| } | |
| } | |
| ``` | |
| ### SSE legacy fallback (set `HUB_TRANSPORT = "sse"` in `.pyfun`) | |
| ```json | |
| { | |
| "mcpServers": { | |
| "universal-mcp-hub": { | |
| "url": "https://YOUR_USERNAME-universal-mcp-hub.hf.space/mcp" | |
| } | |
| } | |
| } | |
| ``` | |
| > Same URL (`/mcp`) for both transports — the protocol is negotiated automatically. | |
| > SSE fallback is for older clients that don't support Streamable HTTP yet. | |
| --- | |
| ## Desktop Client | |
| ###### (experimental — ~80% AI generated) | |
| A full PySide6 desktop client is included in `DESKTOP_CLIENT/hub.py`. | |
| Communicates via the REST `/api` endpoint — no MCP protocol overhead. | |
| Ideal for private or non-public Spaces. | |
| ```bash | |
| pip install PySide6 httpx | |
| # optional file handling: | |
| pip install Pillow PyPDF2 pandas openpyxl | |
| python DESKTOP_CLIENT/hub.py | |
| ``` | |
| **Features:** | |
| - Multi-chat with persistent history | |
| - Tool / Provider / Model selector loaded live from your Hub | |
| - File attachments: images, PDF, CSV, Excel, ZIP, source code | |
| - Connect tab with health check + auto-load | |
| - Settings: HF Token + Hub URL saved locally, never sent anywhere except your own Hub | |
| - Full request/response log with timestamps | |
| - Runs on Windows, Linux, macOS | |
| [→ Desktop Client docs](DESKTOP_CLIENT/README.md) | |
| --- | |
| ## CMS & Custom Clients | |
| | Client | Interface used | Notes | | |
| | :--- | :--- | :--- | | |
| | [Desktop Client](DESKTOP_CLIENT/hub.py) | REST `/api` | PySide6, local | | |
| | [WP AI Hub](https://github.com/VolkanSah/WP-AI-HUB/) | REST `/api` | WordPress plugin | | |
| | TYPO3 (soon) | REST `/api` | — | | |
| | Claude Desktop | MCP `/mcp` | Streamable HTTP | | |
| | Cursor / Windsurf | MCP `/mcp` | Streamable HTTP | | |
| --- | |
| ## Configuration (.pyfun) | |
| `app/.pyfun` is the single source of truth for all app behavior. Three tiers: | |
| ``` | |
| LAZY: [HUB] + one [LLM_PROVIDER.*] → works | |
| NORMAL: + [SEARCH_PROVIDER.*] + [MODELS.*] → works better | |
| PRODUCTIVE: + [TOOLS] + [HUB_LIMITS] + [DB_SYNC] → full power | |
| ``` | |
| Key settings in `[HUB]`: | |
| ```ini | |
| [HUB] | |
| HUB_TRANSPORT = "streamable-http" # streamable-http | sse | |
| HUB_STATELESS = "true" # true = HF Spaces safe, no session state | |
| HUB_PORT = "7860" | |
| [HUB_END] | |
| ``` | |
| Adding a new LLM provider — two steps: | |
| ```ini | |
| # 1. app/.pyfun | |
| [LLM_PROVIDER.mistral] | |
| active = "true" | |
| base_url = "https://api.mistral.ai/v1" | |
| env_key = "MISTRAL_API_KEY" | |
| default_model = "mistral-large-latest" | |
| models = "mistral-large-latest, mistral-small-latest" | |
| fallback_to = "" | |
| [LLM_PROVIDER.mistral_END] | |
| ``` | |
| ```python | |
| # 2. app/providers.py — uncomment the dummy | |
| _PROVIDER_CLASSES = { | |
| ... | |
| "mistral": MistralProvider, # ← uncomment to activate | |
| } | |
| ``` | |
| --- | |
| ## Dependencies | |
| ``` | |
| # PyFundaments Core (always required) | |
| asyncpg — async PostgreSQL pool (Guardian/cloud DB) | |
| python-dotenv — .env loading | |
| passlib — PBKDF2 password hashing in user_handler.py | |
| cryptography — encryption layer in fundaments/ | |
| # MCP Hub | |
| mcp — MCP protocol + FastMCP (Streamable HTTP + SSE) | |
| httpx — async HTTP for all provider API calls | |
| quart — async Flask (ASGI) — needed for MCP + hypercorn | |
| hypercorn — ASGI server — Streamable HTTP + SSE, HF Spaces native | |
| requests — sync HTTP for tool workers | |
| # Optional (uncomment in requirements.txt as needed) | |
| # aiofiles — async file ops (ML pipelines, file uploads) | |
| # discord.py — Discord bot integration (planned) | |
| # PyNaCl — Discord signature verification | |
| # psycopg2-binary — alternative PostgreSQL driver | |
| ``` | |
| > **Note:** The package is `mcp` (not `fastmcp`) — `FastMCP` is imported from `mcp.server.fastmcp`. | |
| > Streamable HTTP support requires `mcp >= 1.6.0`. | |
| --- | |
| ## Security Design | |
| - API keys live in HF Secrets / `.env` — never in `.pyfun`, never in code | |
| - `list_active_tools` returns key **names** only — never values | |
| - `db_query` is SELECT-only, enforced at application level (not just docs) | |
| - `app/*` has zero import access to `fundaments/` internals | |
| - Direct execution of `app/app.py` blocked by design — warning + null-fundaments fallback | |
| - `fundaments/` initialized conditionally — missing services degrade gracefully, never crash | |
| - Streamable HTTP uses standard Bearer headers — no token-in-URL (unlike SSE) | |
| > PyFundaments is not perfect. But it's more secure than most of what runs in production today. | |
| [→ Full Security Policy](SECURITY.md) | |
| --- | |
| ## Foundation | |
| Built on [PyFundaments](PyFundaments.md) — a security-first Python boilerplate: | |
| - `config_handler.py` — env loading with validation | |
| - `postgresql.py` — async DB pool (Guardian-only) | |
| - `encryption.py` — key-based encryption layer | |
| - `access_control.py` — role/permission management | |
| - `user_handler.py` — user lifecycle management | |
| - `security.py` — unified security manager composing the above | |
| None accessible from `app/*`. Injected as a validated dict by `main.py`. | |
| [→ PyFundaments Function Overview](PyFundaments%20–%20Function%20Overview.md) | |
| [→ Module Docs](docs/app/) | |
| [→ Source Repo](https://github.com/VolkanSah/Multi-LLM-API-Gateway) | |
| --- | |
| ## Related Projects | |
| - [Customs LLMs for free — Build Your Own LLM Service](https://github.com/VolkanSah/SmolLM2-customs/) | |
| - [WP AI Hub (WordPress Client)](https://github.com/VolkanSah/WP-AI-HUB/) | |
| - [ShellMaster (2023 precursor)](https://github.com/VolkanSah/ChatGPT-ShellMaster) | |
| --- | |
| ## History | |
| [ShellMaster](https://github.com/VolkanSah/ChatGPT-ShellMaster) (2023, MIT) was the precursor — browser-accessible shell for ChatGPT with session memory, built before MCP was a concept. Universal MCP Hub is its natural evolution: same idea, proper architecture, dual interface. | |
| --- | |
| ## License | |
| Dual-licensed: | |
| - [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0) | |
| - [Ethical Security Operations License v1.1 (ESOL)](ESOL) — mandatory, non-severable | |
| By using this software you agree to all ethical constraints defined in ESOL v1.1. | |
| --- | |
| *Architecture, security decisions, and PyFundaments by Volkan Kücükbudak.* | |
| *Built with Claude (Anthropic) as a typing assistant for docs (and the occasional bug).* | |
| > crafted with passion — just wanted to understand how it works, don't actually need it, have a CLI 😄 | |