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Running on Zero
Running on Zero
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README.md
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title:
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emoji:
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sdk:
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---
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— or Universal MCP Hub (Sandboxed)
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— or secure AI wrapper with dual interface: REST + MCP
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aka: a clean, secure starting point for your own projects.
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Pick the description that fits your use case. They're all correct.
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> A production-grade **the-thing** that actually thinks about security.
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> Built on [PyFundaments](PyFundaments.md) — running on **simpleCity**.
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```
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No key → no tool → no crash → no exposed secrets
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```
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> [!WARNING]
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> Most MCP servers are prompts dressed up as servers. This one has a real architecture.
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---
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> [!IMPORTANT]
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> 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)*.
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> This repo ([DEV](https://github.com/VolkanSah/Multi-LLM-API-Gateway)) is where the chaos happens. 🔬 A ⭐ on the repos will be cool 😙
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---
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## What's new in v1.1.0 (Rebuild)
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> Full changelog in [`REVIEW.md`](REVIEW.md). Highlights:
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- **Fixed:** `/mcp` 404 (mount middleware stripped the prefix FastMCP expects) and the missing session-manager lifespan — MCP is fully functional again.
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- **New:** **Auto model pricing** — costs are fetched from the public OpenRouter models API + the LiteLLM community price list, cached in `db_sync` (24h TTL). Your `.pyfun [MODELS]` values always win as override. Manual cost maintenance is over.
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- **New:** Brave + Tavily search providers implemented with fallback chain — `web_search` registers as soon as `BRAVE_API_KEY` or `TAVILY_API_KEY` is set.
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- **New:** `db_query` as MCP tool (SELECT-only, app/* tables).
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- **Cleanup:** dead code removed, `requirements.txt` now pins `mcp>=1.10,<2` (not `fastmcp`), LF line endings.
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## Why this exists
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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.
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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.
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This hub is the antidote:
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- **Structural sandboxing** — `app/*` can never touch `fundaments/` or `.env`. Not by convention. By design.
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- **Guardian pattern** — `main.py` is the only process that reads secrets. It injects validated services as a dict. `app/*` never sees the raw environment.
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- **Graceful degradation** — No key? Tool doesn't register. Server still starts. No crash, no error, no empty `None` floating around.
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- **Single source of truth** — All tool/provider/model config lives in `app/.pyfun`. Adding a provider = edit one file. No code changes.
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---
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## Two Interfaces — One Server
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This hub exposes **two completely independent interfaces** on the same hypercorn instance:
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```
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POST /api → REST interface — for custom clients, desktop apps, CMS plugins
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GET+POST /mcp → MCP interface — for Claude Desktop, Cursor, Windsurf, any MCP client
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GET / → Health check — uptime, status
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```
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They share the same tool registry, provider config, and fallback chain. Adding a tool once makes it available on both interfaces automatically.
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### REST API (`/api`)
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Simple JSON POST — no protocol overhead, works with any HTTP client:
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```json
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POST /api
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{"tool": "llm_complete", "params": {"prompt": "Hello", "provider": "anthropic"}}
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```
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Used by: Desktop Client (`DESKTOP_CLIENT/hub.py`), WordPress plugin, any custom integration.
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### MCP Interface (`/mcp`)
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Full MCP protocol — tool discovery, structured calls, streaming responses.
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**Primary transport: Streamable HTTP** (MCP spec 2025-11-25)
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**Fallback transport: SSE** (legacy, configurable via `.pyfun`)
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Configured via `HUB_TRANSPORT` in `app/.pyfun [HUB]`:
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```ini
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HUB_TRANSPORT = "streamable-http" # default — MCP spec 2025-11-25
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# HUB_TRANSPORT = "sse" # legacy fallback for older clients
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```
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Used by: Claude Desktop, Cursor, Windsurf, any MCP-compatible client.
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---
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## Architecture
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```
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main.py (Guardian)
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│
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│ reads .env / HF Secrets
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│ initializes fundaments/* conditionally
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│ injects validated services as dict
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│
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└──► app/app.py (Orchestrator, sandboxed)
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│
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│ unpacks fundaments ONCE, at startup, never stores globally
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│ starts hypercorn (async ASGI)
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│ routes: GET / | POST /api | /mcp (transport-dependent)
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│
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├── app/mcp.py ← FastMCP + transport handler (Streamable HTTP / SSE)
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├── app/tools.py ← Tool registry (key-gated)
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├── app/providers.py ← LLM + Search execution + fallback chain
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├── app/models.py ← Model limits, costs, capabilities
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├── app/config.py ← .pyfun parser (single source of truth)
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└── app/db_sync.py ← Internal SQLite IPC (app/* state only)
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≠ fundaments/postgresql.py (Guardian-only)
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```
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**The sandbox is structural:**
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```python
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# app/app.py — fundaments unpacked ONCE, NEVER stored globally
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async def start_application(fundaments: Dict[str, Any]) -> None:
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config_service = fundaments["config"]
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db_service = fundaments["db"] # None if not configured
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encryption_service = fundaments["encryption"] # None if keys missing
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access_control_service = fundaments["access_control"]
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...
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# From here: app/* reads its own config from app/.pyfun only.
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# fundaments are never passed into other app/* modules.
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```
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`app/app.py` never calls `os.environ`. Never imports from `fundaments/`. Never reads `.env`.
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This isn't documentation. It's enforced by the import structure.
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### Why Quart + hypercorn?
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**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.
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**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.
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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.
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---
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## Two Databases — One Architecture
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```
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┌─────────────────────────────────────────────────────────────┐
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│ Guardian Layer (fundaments/*) │
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│ │
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│ postgresql.py → Cloud DB (e.g. Neon, Supabase) │
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│ asyncpg pool, SSL enforced │
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│ │
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│ user_handler.py → SQLite (users + sessions tables) │
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│ PBKDF2-SHA256 password hashing │
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│ Session validation incl. IP + UserAgent │
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│ Account lockout after 5 failed attempts │
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│ │
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└──────────────────────┬──────────────────────────────────────┘
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│ inject as fundaments dict
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▼
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┌─────────────────────────────────────────────────────────────┐
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│ App Layer (app/*) │
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│ │
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│ db_sync.py → SQLite (hub_state + tool_cache tables) │
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│ aiosqlite (async, non-blocking) │
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│ NEVER touches users/sessions tables │
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│ Relocated to /tmp/ on HF Spaces auto │
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│ │
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└─────────────────────────────────────────────────────────────┘
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```
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**Table ownership — hard rule:**
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| Table | Owner | Access |
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| :--- | :--- | :--- |
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| `users` | `fundaments/user_handler.py` | Guardian only |
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| `sessions` | `fundaments/user_handler.py` | Guardian only |
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| `hub_state` | `app/db_sync.py` | app/* only |
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| `tool_cache` | `app/db_sync.py` | app/* only |
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| `hub_results` | PostgreSQL / Guardian | via `persist_result` tool |
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---
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## Tools
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Tools register at startup — only if the required API key exists. No key, no tool. Server always starts.
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| ENV Secret | Tool | Notes |
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| :--- | :--- | :--- |
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| `ANTHROPIC_API_KEY` | `llm_complete` | Claude Haiku / Sonnet / Opus |
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| `GEMINI_API_KEY` | `llm_complete` | Gemini 2.0 / 2.5 / 3.x Flash & Pro |
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| `OPENROUTER_API_KEY` | `llm_complete` | 100+ models via OpenRouter |
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| `HF_TOKEN` | `llm_complete` | HuggingFace Inference API |
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| `BRAVE_API_KEY` | `web_search` | Independent web index |
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| `TAVILY_API_KEY` | `web_search` | AI-optimized search with synthesized answers |
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| `DATABASE_URL` | `cloud DB` | e.g. Neon, Supabase |
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| `DATABASE_URL` | `db_query`, `persist_result` | SQLite read + PostgreSQL write |
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| *(always)* | `list_active_tools` | Shows key names only — never values |
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| *(always)* | `health_check` | Status + uptime + active transport |
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| *(always)* | `get_model_info` | Limits, costs, capabilities per model (auto-merged) |
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| *(always)* | `get_model_pricing` | Auto-fetched costs — `.pyfun` values win as override |
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| *(always)* | `refresh_pricing` | Force refresh from OpenRouter + LiteLLM |
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| *(always)* | `db_query` | Read-only SELECT on internal hub state |
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For all key names see [`app/.pyfun`](app/.pyfun).
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**Tools are configured in `.pyfun` — including system prompts:**
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```ini
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[TOOL.code_review]
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active = "true"
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description = "Review code for bugs, security issues and improvements"
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provider_type = "llm"
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default_provider = "anthropic"
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timeout_sec = "60"
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system_prompt = "You are an expert code reviewer. Analyze the given code for bugs, security issues, and improvements. Be specific and concise."
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[TOOL.code_review_END]
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```
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Current built-in tools: `llm_complete`, `code_review`, `summarize`, `translate`, `web_search`, `db_query`
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Future hooks (commented, ready): `image_gen`, `code_exec`, `shellmaster_2.0`, Discord, GitHub webhooks
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---
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## LLM Fallback Chain
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All LLM providers share one `llm_complete` tool. If a provider fails, the hub walks the fallback chain from `.pyfun`:
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```
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e.g. anthropic → gemini → openrouter → huggingface
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```
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```ini
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[LLM_PROVIDER.anthropic]
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fallback_to = "gemini"
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[LLM_PROVIDER.anthropic_END]
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[LLM_PROVIDER.gemini]
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fallback_to = "openrouter"
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[LLM_PROVIDER.gemini_END]
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```
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Same pattern applies to search providers (`brave → tavily`).
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---
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## Quick Start
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### HuggingFace Spaces (recommended)
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1. Fork / duplicate this Space
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2. Go to **Settings → Variables and secrets**
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3. Add the API keys you have (any subset works)
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4. Space starts automatically — only tools with valid keys register
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[→ Live Demo Space](https://huggingface.co/spaces/codey-lab/Multi-LLM-API-Gateway) (no LLM keys set)
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### Local / Docker
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```bash
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git clone https://github.com/VolkanSah/Multi-LLM-API-Gateway
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cd Multi-LLM-API-Gateway
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cp example-mcp___.env .env
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# fill in your keys
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pip install -r requirements.txt
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python main.py
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```
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Minimum required ENV vars (everything else is optional):
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```env
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PYFUNDAMENTS_DEBUG=""
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LOG_LEVEL="INFO"
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LOG_TO_TMP=""
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ENABLE_PUBLIC_LOGS="true"
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HF_TOKEN=""
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HUB_SPACE_URL=""
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```
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Transport is configured in `app/.pyfun [HUB]` — not via ENV.
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---
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## Connect an MCP Client
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### Streamable HTTP (default — MCP spec 2025-11-25)
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```json
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{
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"mcpServers": {
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"universal-mcp-hub": {
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"url": "https://YOUR_USERNAME-universal-mcp-hub.hf.space/mcp"
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}
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}
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}
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```
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### Streamable HTTP — Private Space (with HF token)
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```json
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{
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"mcpServers": {
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"universal-mcp-hub": {
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"url": "https://YOUR_USERNAME-universal-mcp-hub.hf.space/mcp",
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"headers": {
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"Authorization": "Bearer hf_..."
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}
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}
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}
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}
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```
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### SSE legacy fallback (set `HUB_TRANSPORT = "sse"` in `.pyfun`)
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```json
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{
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"mcpServers": {
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"universal-mcp-hub": {
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"url": "https://YOUR_USERNAME-universal-mcp-hub.hf.space/mcp"
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}
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}
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}
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```
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> Same URL (`/mcp`) for both transports — the protocol is negotiated automatically.
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> SSE fallback is for older clients that don't support Streamable HTTP yet.
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---
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## Desktop Client
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###### (experimental — ~80% AI generated)
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A full PySide6 desktop client is included in `DESKTOP_CLIENT/hub.py`.
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Communicates via the REST `/api` endpoint — no MCP protocol overhead.
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Ideal for private or non-public Spaces.
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```bash
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pip install PySide6 httpx
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# optional file handling:
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pip install Pillow PyPDF2 pandas openpyxl
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python DESKTOP_CLIENT/hub.py
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```
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**Features:**
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- Multi-chat with persistent history
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- Tool / Provider / Model selector loaded live from your Hub
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- File attachments: images, PDF, CSV, Excel, ZIP, source code
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- Connect tab with health check + auto-load
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- Settings: HF Token + Hub URL saved locally, never sent anywhere except your own Hub
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- Full request/response log with timestamps
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- Runs on Windows, Linux, macOS
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[→ Desktop Client docs](DESKTOP_CLIENT/README.md)
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---
|
| 368 |
-
|
| 369 |
-
## CMS & Custom Clients
|
| 370 |
-
|
| 371 |
-
| Client | Interface used | Notes |
|
| 372 |
-
| :--- | :--- | :--- |
|
| 373 |
-
| [Desktop Client](DESKTOP_CLIENT/hub.py) | REST `/api` | PySide6, local |
|
| 374 |
-
| [WP AI Hub](https://github.com/VolkanSah/WP-AI-HUB/) | REST `/api` | WordPress plugin |
|
| 375 |
-
| TYPO3 (soon) | REST `/api` | — |
|
| 376 |
-
| Claude Desktop | MCP `/mcp` | Streamable HTTP |
|
| 377 |
-
| Cursor / Windsurf | MCP `/mcp` | Streamable HTTP |
|
| 378 |
-
|
| 379 |
-
---
|
| 380 |
-
|
| 381 |
-
## Configuration (.pyfun)
|
| 382 |
-
|
| 383 |
-
`app/.pyfun` is the single source of truth for all app behavior. Three tiers:
|
| 384 |
-
|
| 385 |
-
```
|
| 386 |
-
LAZY: [HUB] + one [LLM_PROVIDER.*] → works
|
| 387 |
-
NORMAL: + [SEARCH_PROVIDER.*] + [MODELS.*] → works better
|
| 388 |
-
PRODUCTIVE: + [TOOLS] + [HUB_LIMITS] + [DB_SYNC] → full power
|
| 389 |
-
```
|
| 390 |
-
|
| 391 |
-
Key settings in `[HUB]`:
|
| 392 |
-
|
| 393 |
-
```ini
|
| 394 |
-
[HUB]
|
| 395 |
-
HUB_TRANSPORT = "streamable-http" # streamable-http | sse
|
| 396 |
-
HUB_STATELESS = "true" # true = HF Spaces safe, no session state
|
| 397 |
-
HUB_PORT = "7860"
|
| 398 |
-
[HUB_END]
|
| 399 |
-
```
|
| 400 |
-
|
| 401 |
-
Adding a new LLM provider — two steps:
|
| 402 |
-
|
| 403 |
-
```ini
|
| 404 |
-
# 1. app/.pyfun
|
| 405 |
-
[LLM_PROVIDER.mistral]
|
| 406 |
-
active = "true"
|
| 407 |
-
base_url = "https://api.mistral.ai/v1"
|
| 408 |
-
env_key = "MISTRAL_API_KEY"
|
| 409 |
-
default_model = "mistral-large-latest"
|
| 410 |
-
models = "mistral-large-latest, mistral-small-latest"
|
| 411 |
-
fallback_to = ""
|
| 412 |
-
[LLM_PROVIDER.mistral_END]
|
| 413 |
-
```
|
| 414 |
-
|
| 415 |
-
```python
|
| 416 |
-
# 2. app/providers.py — uncomment the dummy
|
| 417 |
-
_PROVIDER_CLASSES = {
|
| 418 |
-
...
|
| 419 |
-
"mistral": MistralProvider, # ← uncomment to activate
|
| 420 |
-
}
|
| 421 |
-
```
|
| 422 |
-
|
| 423 |
-
---
|
| 424 |
-
|
| 425 |
-
## Dependencies
|
| 426 |
-
|
| 427 |
-
```
|
| 428 |
-
# PyFundaments Core (always required)
|
| 429 |
-
asyncpg — async PostgreSQL pool (Guardian/cloud DB)
|
| 430 |
-
python-dotenv — .env loading
|
| 431 |
-
passlib — PBKDF2 password hashing in user_handler.py
|
| 432 |
-
cryptography — encryption layer in fundaments/
|
| 433 |
-
|
| 434 |
-
# MCP Hub
|
| 435 |
-
mcp — MCP protocol + FastMCP (Streamable HTTP + SSE)
|
| 436 |
-
httpx — async HTTP for all provider API calls
|
| 437 |
-
quart — async Flask (ASGI) — needed for MCP + hypercorn
|
| 438 |
-
hypercorn — ASGI server — Streamable HTTP + SSE, HF Spaces native
|
| 439 |
-
requests — sync HTTP for tool workers
|
| 440 |
-
|
| 441 |
-
# Optional (uncomment in requirements.txt as needed)
|
| 442 |
-
# aiofiles — async file ops (ML pipelines, file uploads)
|
| 443 |
-
# discord.py — Discord bot integration (planned)
|
| 444 |
-
# PyNaCl — Discord signature verification
|
| 445 |
-
# psycopg2-binary — alternative PostgreSQL driver
|
| 446 |
-
```
|
| 447 |
-
|
| 448 |
-
> **Note:** The package is `mcp` (not `fastmcp`) — `FastMCP` is imported from `mcp.server.fastmcp`.
|
| 449 |
-
> Streamable HTTP support requires `mcp >= 1.6.0`.
|
| 450 |
-
|
| 451 |
-
---
|
| 452 |
-
|
| 453 |
-
## Security Design
|
| 454 |
-
|
| 455 |
-
- API keys live in HF Secrets / `.env` — never in `.pyfun`, never in code
|
| 456 |
-
- `list_active_tools` returns key **names** only — never values
|
| 457 |
-
- `db_query` is SELECT-only, enforced at application level (not just docs)
|
| 458 |
-
- `app/*` has zero import access to `fundaments/` internals
|
| 459 |
-
- Direct execution of `app/app.py` blocked by design — warning + null-fundaments fallback
|
| 460 |
-
- `fundaments/` initialized conditionally — missing services degrade gracefully, never crash
|
| 461 |
-
- Streamable HTTP uses standard Bearer headers — no token-in-URL (unlike SSE)
|
| 462 |
-
|
| 463 |
-
> PyFundaments is not perfect. But it's more secure than most of what runs in production today.
|
| 464 |
-
|
| 465 |
-
[→ Full Security Policy](SECURITY.md)
|
| 466 |
-
|
| 467 |
-
---
|
| 468 |
-
|
| 469 |
-
## Foundation
|
| 470 |
-
|
| 471 |
-
Built on [PyFundaments](PyFundaments.md) — a security-first Python boilerplate:
|
| 472 |
-
|
| 473 |
-
- `config_handler.py` — env loading with validation
|
| 474 |
-
- `postgresql.py` — async DB pool (Guardian-only)
|
| 475 |
-
- `encryption.py` — key-based encryption layer
|
| 476 |
-
- `access_control.py` — role/permission management
|
| 477 |
-
- `user_handler.py` — user lifecycle management
|
| 478 |
-
- `security.py` — unified security manager composing the above
|
| 479 |
-
|
| 480 |
-
None accessible from `app/*`. Injected as a validated dict by `main.py`.
|
| 481 |
-
|
| 482 |
-
[→ PyFundaments Function Overview](PyFundaments%20–%20Function%20Overview.md)
|
| 483 |
-
[→ Module Docs](docs/app/)
|
| 484 |
-
[→ Source Repo](https://github.com/VolkanSah/Multi-LLM-API-Gateway)
|
| 485 |
-
|
| 486 |
-
---
|
| 487 |
-
|
| 488 |
-
## Related Projects
|
| 489 |
-
|
| 490 |
-
- [Customs LLMs for free — Build Your Own LLM Service](https://github.com/VolkanSah/SmolLM2-customs/)
|
| 491 |
-
- [WP AI Hub (WordPress Client)](https://github.com/VolkanSah/WP-AI-HUB/)
|
| 492 |
-
- [ShellMaster (2023 precursor)](https://github.com/VolkanSah/ChatGPT-ShellMaster)
|
| 493 |
-
|
| 494 |
-
---
|
| 495 |
-
|
| 496 |
-
## History
|
| 497 |
-
|
| 498 |
-
[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.
|
| 499 |
-
|
| 500 |
-
---
|
| 501 |
-
|
| 502 |
-
## License
|
| 503 |
-
|
| 504 |
-
Dual-licensed:
|
| 505 |
-
|
| 506 |
-
- [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)
|
| 507 |
-
- [Ethical Security Operations License v1.1 (ESOL)](ESOL) — mandatory, non-severable
|
| 508 |
-
|
| 509 |
-
By using this software you agree to all ethical constraints defined in ESOL v1.1.
|
| 510 |
-
|
| 511 |
-
---
|
| 512 |
-
|
| 513 |
-
*Architecture, security decisions, and PyFundaments by Volkan Kücükbudak.*
|
| 514 |
-
*Built with Claude (Anthropic) as a typing assistant for docs (and the occasional bug).*
|
| 515 |
-
|
| 516 |
-
> crafted with passion — just wanted to understand how it works, don't actually need it, have a CLI 😄
|
|
|
|
| 1 |
---
|
| 2 |
+
title: ZeroGPU Mini-Trainer
|
| 3 |
+
emoji: ⚡
|
| 4 |
+
colorFrom: yellow
|
| 5 |
colorTo: red
|
| 6 |
+
sdk: gradio
|
| 7 |
+
sdk_version: 5.49.1
|
| 8 |
+
app_file: app.py
|
| 9 |
+
pinned: false
|
| 10 |
+
hf_oauth: true
|
| 11 |
+
hf_oauth_scopes:
|
| 12 |
+
- read-repos
|
| 13 |
+
- write-repos
|
| 14 |
---
|
| 15 |
|
| 16 |
+
LoRA-Fine-Tuning für kleine SmolLM-Modelle auf ZeroGPU. Jeder Nutzer loggt sich ein und nutzt seine eigene Tagesquote.
|
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