Capabilities
Qevron exposes every core "verb" of modern AI through one API. For each capability you'll find what it does, which models are available, how to call it, and when to pick which model.
Categories
Chat
- Chat (LLM) — verinova / verinova-large / OpenAI / Anthropic
- Streaming chat — token-by-token responses
Voice
- Speech-to-text (STT) — solab-stt / whisper
- Text-to-speech (TTS) — blab-stable / blab-fast / blab-tts
Vision
- Visual Q&A (VQA) — spook-vision
- OCR — text from image — spook-ocr
- Object detection — spook-detect
Image
- Image generation — spook-generate
- Background removal — spook-background
Embedding & Search
- Embedding (vectors) — veriEmbedding
- Rerank — verirerag
Quick reference
| Capability | Endpoint | Recommended model | Streaming |
|---|---|---|---|
| Chat | POST /v1/chat/completions | verinova | ✓ |
| Detailed chat (Qwen3 30B) | POST /v1/chat/completions | verinova-large | ✓ |
| STT | POST /v1/audio/transcriptions | solab-stt | ✓ |
| TTS | POST /v1/audio/speech | blab-stable | ✓ |
| Embedding | POST /v1/embeddings | veriEmbedding | — |
| Rerank | POST /v1/rerank | verirerag | — |
| VQA | POST /v1/chat/completions (image input) | spook-vision | ✓ |
| OCR | POST /v1/vision/ocr (new) | spook-ocr | — |
| Object detection | POST /v1/vision/detect (new) | spook-detect | — |
| Image generation | POST /v1/images/generations | spook-generate | — |
| Background removal | POST /v1/vision/background (new) | spook-background | — |
Live status in the admin UI
To see which capability is currently active and which model is recommended, open app.qevron.ai → Capabilities (/capabilities). The "Copy" button on each card puts the recommended model name on your clipboard — paste straight into code.
Connection basics
Two environments, two base URLs:
| From where? | Base URL | API key |
|---|---|---|
| Same host (calleague-platform, callekit-agents) | http://localhost:3001 | QEVRON_API_KEY |
| External / SaaS / browser SDK | https://app.qevron.ai | sk-... (your user key) |
Auth header is the same in both:
Authorization: Bearer <KEY>Next
- First chatbot — end-to-end Python walkthrough
- RAG: embedding + rerank —
veriEmbedding+verireragtogether - Local models catalogue (operator reference) — model → channel → port map; which server runs what