Get All Model Cards

GET 
https://api.pharia.example.com/v1/studio/models

Get all ModelCard from the list of models that are available.

Responses

200

Successful Response

application/json

Schema

Schema

Array [
nameName (string)required
The name of the model
statusStatus (string)required
The current availability status of the model. Currently supported states are 'available' and 'unavailable'
Possible values: [available, unavailable]
description objectrequired
A brief description of the model's capabilities and features
anyOf
MOD1
string
MOD2
max_context_sizeMax Context Size (integer)required
The maximum number of tokens the model can process in a single input
alignedAligned (boolean)required
semantic_embeddingSemantic Embedding (boolean)required
Whether the model can generate semantic embeddings
worker_typeWorker Type (string)required
Type of worker that serves the model. Can either be 'luminous' or 'vllm'. If 'luminous' is set, the model supports advanced completion parameters. If called with these parameters and it is not supported, it will raise an error
multimodalMultimodal (boolean)required
Whether the model can process multiple types of input data (e.g., text, images)
chatChat (boolean)required
Whether the model is supported by the chat endpoint
completion_typeCompletion Type (string)required
The completion type supported by the model. It states if the model has not been trained to support completions.
Possible values: [full, none]
prompt_templatePrompt Template (string)required
The prompt template that should be used to prompt the model
category object
The category of the model
anyOf
MOD1
string
MOD2
linkLink (string)required
The link to the model card
maximum_completion_tokens object
The maximum number of tokens the model will provide for the output.
anyOf
MOD1
integer
MOD2
]

Example (auto)

[
  {
    "name": "string",
    "status": "available",
    "description": "string",
    "max_context_size": 0,
    "aligned": true,
    "semantic_embedding": true,
    "worker_type": "string",
    "multimodal": true,
    "chat": true,
    "completion_type": "full",
    "prompt_template": "string",
    "category": "string",
    "link": "string",
    "maximum_completion_tokens": 0
  }
]

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• HTTPCLIENT
• RESTSHARP

var client = new HttpClient();
var request = new HttpRequestMessage(HttpMethod.Get, "https://api.pharia.example.com/v1/studio/models");
request.Headers.Add("Accept", "application/json");
var response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
Console.WriteLine(await response.Content.ReadAsStringAsync());

Request Collapse all

Base URL

https://api.pharia.example.com/v1/studio

ResponseClear

Click the Send API Request button above and see the response here!