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GET
/
{resourceSlug}
/
model
/
{modelid}
.json
Retrieve Model
curl --request GET \
  --url https://app.agentcloud.dev/{resourceSlug}/model/{modelid}.json \
  --header 'Authorization: Bearer <token>'
{
  "_id": "<string>",
  "orgId": "<string>",
  "teamId": "<string>",
  "name": "<string>",
  "model": "<string>",
  "embeddingLength": 123,
  "modelType": "<string>",
  "type": "<string>",
  "config": {
    "model": "<string>",
    "api_key": "<string>",
    "base_url": "<string>",
    "cohere_api_key": "<string>",
    "groq_api_key": "<string>"
  }
}

Documentation Index

Fetch the complete documentation index at: https://docs.agentcloud.dev/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

​
resourceSlug
string
required

The resourceSlug is a URL parameter of the teamId associated with the user. Mongodb Object id, unique identifier, length of 24 characters fitting the following regex; [a-f0-9]{24}

​
modelId
string
required

The ID of the model to retrieve.

Response

JSON object containing the retrieved model.

Represents an AI model used within a team or organization.

​
_id
string
required

Unique identifier for the model.

​
orgId
string
required

Identifier of the organization to which the model belongs.

​
teamId
string
required

Identifier of the team to which the model belongs.

​
name
string
required

The name of the model.

​
model
string
required

The specific AI model used.

​
embeddingLength
integer
required

The length of the embeddings generated by the model.

​
modelType
string
required

The type of the model.

​
type
string
required

The general type of the model (e.g., embedding, language model).

​
config
object
required

Configuration settings for the model.