List the models an assistant can use

GET

models

curl --request GET "$MITHUNAI_URL/arukz/api/v1/models" \
  --header "Authorization: Bearer $MITHUNAI_API_KEY"

import os, requests

response = requests.get(
    f"{os.environ['MITHUNAI_URL']}/arukz/api/v1/models",
    headers={"Authorization": f"Bearer {os.environ['MITHUNAI_API_KEY']}"},
    timeout=60,
)
response.raise_for_status()
print(response.json())

const response = await fetch(`${process.env.MITHUNAI_URL}/arukz/api/v1/models`, {
  headers: { Authorization: `Bearer ${process.env.MITHUNAI_API_KEY}` },
})
console.log(await response.json())

{
  "data": [
    {
      "id": "anthropic/claude-sonnet-5",
      "provider": "anthropic",
      "name": "claude-sonnet-5",
      "capabilities": ["chat", "streaming"],
      "context_window": 1000000,
      "max_output_tokens": 128000
    },
    {
      "id": "openai/text-embedding-3-small",
      "provider": "openai",
      "name": "text-embedding-3-small",
      "capabilities": ["embedding"],
      "context_window": null,
      "max_output_tokens": null
    }
  ]
}

{ "code": "authorization_error", "message": "You do not have permission to perform this action." }

The list contains the catalogued models of every provider this deployment can reach. A provider the deployment has no credential for contributes no models, so a deployment with no provider configured returns an empty data array rather than an error. Each model’s id is exactly the string you put in an assistant’s model field. See Configure an assistant. Embedding models are listed too; an assistant answers with a model that has the chat capability. The response is not paginated. It requires a role that can read assistants, which every role except dataset_operator has.

Response

object[]

required

The models, in catalogue order.

Show properties

string

The qualified selector, provider/name. Use this as an assistant’s model.

string

The provider: anthropic, openai or google.

string

The model name within its provider.

string[]

What the model supports, sorted alphabetically. Values: chat, embedding, rerank, streaming.

integer | null

Input tokens the model accepts, when known.

integer | null

Output tokens the model can produce, when known.

curl --request GET "$MITHUNAI_URL/arukz/api/v1/models" \
  --header "Authorization: Bearer $MITHUNAI_API_KEY"

import os, requests

response = requests.get(
    f"{os.environ['MITHUNAI_URL']}/arukz/api/v1/models",
    headers={"Authorization": f"Bearer {os.environ['MITHUNAI_API_KEY']}"},
    timeout=60,
)
response.raise_for_status()
print(response.json())

const response = await fetch(`${process.env.MITHUNAI_URL}/arukz/api/v1/models`, {
  headers: { Authorization: `Bearer ${process.env.MITHUNAI_API_KEY}` },
})
console.log(await response.json())

{
  "data": [
    {
      "id": "anthropic/claude-sonnet-5",
      "provider": "anthropic",
      "name": "claude-sonnet-5",
      "capabilities": ["chat", "streaming"],
      "context_window": 1000000,
      "max_output_tokens": 128000
    },
    {
      "id": "openai/text-embedding-3-small",
      "provider": "openai",
      "name": "text-embedding-3-small",
      "capabilities": ["embedding"],
      "context_window": null,
      "max_output_tokens": null
    }
  ]
}

{ "code": "authorization_error", "message": "You do not have permission to perform this action." }

Last modified on September 26, 2026

⌘I

curl --request GET "$MITHUNAI_URL/arukz/api/v1/models" \
  --header "Authorization: Bearer $MITHUNAI_API_KEY"

import os, requests

response = requests.get(
    f"{os.environ['MITHUNAI_URL']}/arukz/api/v1/models",
    headers={"Authorization": f"Bearer {os.environ['MITHUNAI_API_KEY']}"},
    timeout=60,
)
response.raise_for_status()
print(response.json())

const response = await fetch(`${process.env.MITHUNAI_URL}/arukz/api/v1/models`, {
  headers: { Authorization: `Bearer ${process.env.MITHUNAI_API_KEY}` },
})
console.log(await response.json())

{
  "data": [
    {
      "id": "anthropic/claude-sonnet-5",
      "provider": "anthropic",
      "name": "claude-sonnet-5",
      "capabilities": ["chat", "streaming"],
      "context_window": 1000000,
      "max_output_tokens": 128000
    },
    {
      "id": "openai/text-embedding-3-small",
      "provider": "openai",
      "name": "text-embedding-3-small",
      "capabilities": ["embedding"],
      "context_window": null,
      "max_output_tokens": null
    }
  ]
}

{ "code": "authorization_error", "message": "You do not have permission to perform this action." }

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List the models an assistant can use

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