Models

A model is the name of the AI you call. You put that name in the "model" field of the request body. Qevron looks at the model name to route the request to the right provider.

Listing available models

To see the models your account can access:

curl https://app.qevron.ai/v1/models \
  -H "Authorization: Bearer $QEVRON_API_KEY"

Response:

{
  "object": "list",
  "data": [
    { "id": "verinova", "object": "model", "owned_by": "arpanet" },
    { "id": "veriEmbedding", "object": "model", "owned_by": "arpanet" },
    { "id": "verirerag", "object": "model", "owned_by": "arpanet" }
  ]
}

Only models available to your key's group are listed.

Model types

Each model belongs to a capability type. You must send the right type of model to the right endpoint:

Type	What it does	Example endpoint
LLM (Chat)	Generates text, answers, calls tools, understands images	/v1/chat/completions
Embedding	Turns text into a numeric vector (search, RAG)	/v1/embeddings
Rerank	Sorts a document list by relevance	/v1/rerank
Image	Generates / edits images	/v1/images/*
TTS	Converts text to speech	/v1/audio/speech
STT	Converts speech to text	/v1/audio/transcriptions

Example models

Some models available in this deployment and their types:

Model	Type	Description
verinova	LLM	General-purpose chat and text generation
spook-vision	LLM (vision)	Image understanding / captioning
spook-ocr	LLM (vision)	Text extraction from images (OCR)
spook-detect	LLM (vision)	Object detection in images
veriEmbedding	Embedding	Text embedding generation
verirerag	Rerank	Document reranking
solab-stt	STT	Speech-to-text
blab-tts	TTS	Text-to-speech
spook-generate	Image	Text-to-image generation
spook-background	Image (edit)	Background removal

TIP

Always fetch the current list for your own deployment with /v1/models; models can be added or removed.

Querying a single model

curl https://app.qevron.ai/v1/models/verinova \
  -H "Authorization: Bearer $QEVRON_API_KEY"

Details: Models API.