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| title: MEPLIFEOS FUGTH AI Gateway | |
| emoji: π€ | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: false | |
| # MEPLIFEOS β FUGTH AI Gateway | |
| A lightweight, protected GGUF inference API for FUGTH Management OS. | |
| - Models: Qwen2.5-0.5B-Instruct and Qwen2.5-1.5B-Instruct (Q4_K_M GGUF). | |
| - Both load into memory; only one inference is processed at a time (shared bounded FIFO queue). | |
| - `POST /v1/chat` β protected generation with caller-provided RAG context. | |
| - `GET /health` β public readiness, queue depth, and loaded models. | |
| - `POST /admin/default-model` β change the default model until restart (admin key required). | |
| - `/` β manual smoke-test page; keys are entered in the browser and are not stored. | |
| - `/docs` β API documentation. | |
| ## Configuration in Space Settings β Variables and secrets | |
| Required **Secret**: `FUGTH_API_KEY` β a strong random key (32+ characters). | |
| Optional **Secret**: `FUGTH_ADMIN_KEY` β a separate strong random key for admin configuration. | |
| Optional variables: | |
| | Name | Default | Meaning | | |
| |---|---|---| | |
| | `FUGTH_DEFAULT_MODEL` | `1.5b` | Default on startup (`1.5b` or `0.5b`) | | |
| | `MAX_QUEUE_SIZE` | `8` | Number of waiting requests (not counting the active one) | | |
| | `REQUEST_TIMEOUT_SECONDS` | `110` | HTTP request wait time before returning 504 | | |
| | `N_CTX` | `2048` | Context window for each model | | |
| | `N_THREADS` | `2` | CPU inference threads | | |
| Models download on startup and live on the Space's **ephemeral** disk. Restarts can require a download. Do not upload model weights to the repo. | |
| ## API example | |
| ```bash | |
| curl -X POST 'https://fugthchat-meplifeos.hf.space/v1/chat' \ | |
| -H 'Content-Type: application/json' \ | |
| -H 'X-API-Key: YOUR_SECRET_VALUE' \ | |
| -d '{ | |
| "model": "0.5b", | |
| "business_name": "Example Hair Studio", | |
| "message": "What time do you close on Saturday?", | |
| "context": "Hours: Monday-Friday 9AM-6PM. Saturday 10AM-3PM. Sunday closed.", | |
| "max_tokens": 120 | |
| }' | |
| ``` | |
| For the 1.5B model, set `"model": "1.5b"`. Omit `model` to use the default. | |
| **Important:** RAG retrieval, authentication of end-users, customer isolation, rate limits, and account authorization belong in the **FUGTH backend**. This service receives only context selected by the backend; it does not implement vector retrieval, durable conversations, or fine-tuning. Keep `FUGTH_API_KEY` on your backend, never in public website source code. Do not pass sensitive data unless your architecture and policies permit it. | |
| ## What if it fails to build? | |
| - Check the Space's **Build logs** for missing compiler or network errors. | |
| - Check **Container logs** for downloading/initializing the models. | |
| - Visit `/health` and wait for `"ready": true`. | |
| - If Hugging Face blocks restarting older Docker Spaces, changing source code cannot bypass the account/hardware restriction. | |
| - To limit downloads for troubleshooting, set `LOAD_MODELS=0.5b` as a Space variable, then return to `LOAD_MODELS=0.5b,1.5b` after validation. | |
| For production-scale usage, add a persistent job queue, tenant rate limits, billing controls, observability, and another always-on inference provider. Free Spaces can sleep. | |