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POST
/
v2.0
/
largelanguagemodels
/
{largeLanguageModelId}
/
clone
Clone a large language model
curl --request POST \
  --url https://api-trial.cognigy.ai/new/v2.0/largelanguagemodels/{largeLanguageModelId}/clone \
  --header 'X-API-Key: <api-key>'
{
  "name": "Large language model for customer service",
  "modelType": "gpt-3.5-turbo",
  "provider": "azureOpenAI",
  "connectionId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "description": "Large language model for customer-facing AI Agents.",
  "modelGroup": "chat",
  "isCustomModel": true,
  "openAI": {
    "customModel": "gpt-4-32k-0613"
  },
  "anthropic": {
    "customModel": "claude-opus-4-0"
  },
  "azureOpenAI": {
    "resourceName": "<string>",
    "deploymentName": "<string>",
    "apiVersion": "<string>",
    "baseCustomUrl": [
      "https://<resourceName>.openai.azure.com/openai/deployments/<deploymentName>/chat/completions?api-version=<apiVersion>",
      "https://<resourceName>.openai.azure.com/openai/deployments/<deploymentName>/completions?api-version=<apiVersion>",
      "https://<resourceName>.openai.azure.com/openai/deployments/<deploymentName>/embeddings?api-version=<apiVersion>"
    ]
  },
  "googleVertexAI": {
    "location": "<string>",
    "apiEndpoint": "<string>",
    "publisher": "<string>"
  },
  "googleGemini": {
    "location": "<string>"
  },
  "alephAlpha": {
    "customModel": "luminous-003",
    "baseCustomUrl": "https://api.aleph-alpha.com"
  },
  "openAICompatible": {
    "customModel": "luminous-003",
    "baseCustomUrl": "https://own-llm-deployment.company.com/openai/v1",
    "customAuthHeader": "Ocp-Apim-Subscription-Key"
  },
  "resourceLevel": "project",
  "isDefault": false,
  "fallbacks": [
    {
      "isFallbackEnabled": true,
      "fallbackLLMReferenceId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "immediateFallBack": {
        "failedRequests": 123,
        "durationInMinutes": 123,
        "emailNotificationList": [
          "<string>"
        ]
      }
    }
  ],
  "referenceId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "_id": "<string>",
  "createdAt": 1694518620,
  "lastChanged": 1694518620,
  "createdBy": "<string>",
  "lastChangedBy": "<string>"
}

Authorizations

ā€‹
X-API-Key
string
header
required

Supply the API Key in the HTTP-Header

Headers

ā€‹
Accept
enum<string>

The Accept header specifies the media type that the client expects in the response. Available options: application/json, application/hal+json, application/xml, text/xml, text/csv. The default value is application/json.

Available options:
application/json,
application/hal+json,
application/xml,
text/xml,
text/csv

Path Parameters

ā€‹
largeLanguageModelId
string
required

The unique identifier for the large language model.

Required string length: 24
Pattern: ^[a-z0-9]{24}$

Response

Returns the cloned large language model object.

The IEntityMeta defines meta information every entity within the system has. These are dates when a resource was created and modified as well as information about the user who initially created a resource and who modified it the last time.

ā€‹
name
string
required
Example:

"Large language model for customer service"

ā€‹
modelType
enum<string>
required
Available options:
gpt-3.5-turbo,
gpt-3.5-turbo-instruct,
gpt-4,
gpt-4o,
gpt-4o-mini,
gpt-4.1,
gpt-4.1-mini,
gpt-4.1-nano,
gpt-5,
gpt-5-nano,
gpt-5-mini,
gpt-5.4-mini,
gpt-5.4-nano,
gpt-5-chat-latest,
gpt-5.1,
gpt-5.2,
gpt-5.4,
text-embedding-ada-002,
luminous-extended-control,
luminous-embedding-128,
Pharia-1-Embedding-4608,
gemini-embedding-001,
claude-3-opus-20240229,
claude-sonnet-4-6,
custom-model,
custom-embedding-model,
gemini-2.0-flash,
gemini-2.0-flash-lite,
gemini-2.5-pro,
gemini-2.5-flash,
gemini-2.5-flash-lite,
mistral-large-2411,
mistral-small-2503,
pixtral-large-2411,
pixtral-12b-2409
ā€‹
provider
enum<string>
required
Available options:
azureOpenAI,
openAI,
anthropic,
googleVertexAI,
googleGemini,
alephAlpha,
awsBedrock,
mistral
ā€‹
connectionId
string<uuid>
required

The identifier for the large language model connection.

Required string length: 36
ā€‹
description
string
Example:

"Large language model for customer-facing AI Agents."

ā€‹
modelGroup
enum<string>
Available options:
chat,
completion,
embedding
ā€‹
isCustomModel
boolean
Example:

true

ā€‹
openAI
object

Metadata for OpenAI large language models.

ā€‹
anthropic
object

Metadata for Anthropic large language models.

ā€‹
azureOpenAI
object

Metadata for Azure OpenAI large language models.

ā€‹
googleVertexAI
object

Metadata for Google Vertex AI large language models.

ā€‹
googleGemini
object

Metadata for Google Gemini large language models.

ā€‹
alephAlpha
object

Metadata for Aleph Alpha large language models.

ā€‹
openAICompatible
object

Metadata for OpenAI-compatible large language models.

ā€‹
resourceLevel
enum<string>

Scope for project-level resources.

Available options:
project
ā€‹
isDefault
boolean

If set to true, the large language model is used as the default large language model when no other large language model is set.

Example:

false

ā€‹
fallbacks
object[]

(Alpha) The list of fallback large language models used when the primary large language model stops working.

ā€‹
referenceId
string<uuid>

The reference ID of the large language model.

ā€‹
_id
string
Required string length: 24
Pattern: ^[a-z0-9]{24}$
ā€‹
createdAt
integer

Unix-timestamp

Required range: 0 <= x <= 2147483647
Example:

1694518620

ā€‹
lastChanged
integer

Unix-timestamp

Required range: 0 <= x <= 2147483647
Example:

1694518620

ā€‹
createdBy
string
Required string length: 24
Pattern: ^[a-z0-9]{24}$
ā€‹
lastChangedBy
string
Required string length: 24
Pattern: ^[a-z0-9]{24}$