Models

List the available models and target them via the model slug.

You select the AI model via the model field of each request. You pass a Kasimir slug (not the upstream model name). Which models are available to your key depends on your organization's settings — GET /v1/models is always authoritative.

Available models

Slug	Model	Type	Context	Vision	Processing
`mistral-small-3.2-24b`	Gemma 4 (31B)	Chat	45k	yes	EU · self-hosted (default)
`grok-4.3`	Grok 4.3	Chat	256k	yes	EU · Azure AI Foundry
`mistral-large-3`	Mistral Large 3	Chat	256k	–	EU · Azure AI Foundry
`deepseek-v4-pro`	DeepSeek V4 Pro	Chat	131k	–	EU · Azure AI Foundry
`jina-embeddings-v3`	Jina Embeddings v3	Embeddings (1024 dim)	8k	–	EU · self-hosted

ℹ️

This is the current default catalogue. Your organization may disable models or enable additional (incl. non-EU) models — GET /v1/models always returns the list valid for your key.

Selecting a model

Set the slug in the request's model field:

from openai import OpenAI
client = OpenAI(base_url="https://kasimir.ai/api/v1", api_key="kasi_…")
client.chat.completions.create(model="grok-4.3", messages=[{"role": "user", "content": "Hello"}])

💡

Only vision models (e.g. grok-4.3, mistral-small-3.2-24b) process images. For embeddings use jina-embeddings-v3 on the /v1/embeddings endpoint.

Listing models

GET /v1/models returns the models enabled for your key in OpenAI format:

curl https://kasimir.ai/api/v1/models -H "Authorization: Bearer kasi_…"

{ "object": "list", "data": [ { "id": "mistral-large-3", "object": "model", "owned_by": "kasimir" } ] }

Governance

The model must be active for your company and of the right type (chat / embedding).
Models disabled at the workspace level are not callable → 404.
Non-EU models are only available if your organization enabled allow_non_eu_models → otherwise 403.
The response always returns the Kasimir slug in the model field, never the internal upstream ID.

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