Create a large language model - Cognigy Documentation

curl --request POST \ --url https://api-trial.cognigy.ai/new/v2.0/largelanguagemodels \ --header 'Content-Type: application/json' \ --header 'X-API-Key: <api-key>' \ --data ' { "name": "Large language model for customer service", "modelType": "gpt-3.5-turbo", "provider": "azureOpenAI", "connectionId": "3c90c3cc-0d44-4b50-8888-8dd25736052a", "resourceLevel": "organisation", "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" }, "assignedToProjects": [ "68edf5dd4c931f68d31111", "690b02fc100e454245adde111", "68e6eda61ff68d2111" ] } '

{ "name": "Large language model for customer service", "modelType": "gpt-3.5-turbo", "provider": "azureOpenAI", "connectionId": "3c90c3cc-0d44-4b50-8888-8dd25736052a", "resourceLevel": "organisation", "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" }, "assignedToProjects": [ "68edf5dd4c931f68d31111", "690b02fc100e454245adde111", "68e6eda61ff68d2111" ], "referenceId": "3c90c3cc-0d44-4b50-8888-8dd25736052a", "_id": "<string>", "createdAt": 1694518620, "lastChanged": 1694518620, "createdBy": "<string>", "lastChangedBy": "<string>" }

Authorizations

X-API-Key

string

header

required

Supply the API Key in the HTTP-Header

Headers

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

Body

application/json

Global large language model resource
Project level large language model resource

name

string

required

Example:

"Large language model for customer service"

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

provider

enum<string>

required

Available options:

azureOpenAI,

openAI,

anthropic,

googleVertexAI,

googleGemini,

alephAlpha,

awsBedrock,

mistral

connectionId

string<uuid>

required

The identifier for the large language model connection.

Required string length: 36

resourceLevel

enum<string>

required

Scope for globally scoped resources.

Available options:

organisation

description

string

Example:

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

modelGroup

enum<string>

Available options:

chat,

completion,

embedding

isCustomModel

boolean

Example:

true

openAI

object

Metadata for OpenAI large language models.

Show child attributes

anthropic

object

Metadata for Anthropic large language models.

Show child attributes

azureOpenAI

object

Metadata for Azure OpenAI large language models.

Show child attributes

googleVertexAI

object

Metadata for Google Vertex AI large language models.

Show child attributes

googleGemini

object

Metadata for Google Gemini large language models.

Show child attributes

alephAlpha

object

Metadata for Aleph Alpha large language models.

Show child attributes

openAICompatible

object

Metadata for OpenAI-compatible large language models.

Show child attributes

assignedToProjects

string[]

MongoDB ObjectId representing a project

Example:

[
  "68edf5dd4c931f68d31111",
  "690b02fc100e454245adde111",
  "68e6eda61ff68d2111"
]

Response

Returns large language model metadata object.

Option 1
Option 2
Option 3

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.

name

string

required

Example:

"Large language model for customer service"

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

provider

enum<string>

required

Available options:

azureOpenAI,

openAI,

anthropic,

googleVertexAI,

googleGemini,

alephAlpha,

awsBedrock,

mistral

connectionId

string<uuid>

required

The identifier for the large language model connection.

Required string length: 36

resourceLevel

enum<string>

required

Scope for globally scoped resources.

Available options:

organisation

description

string

Example:

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

modelGroup

enum<string>

Available options:

chat,

completion,

embedding

isCustomModel

boolean

Example:

true

openAI

object

Metadata for OpenAI large language models.

Show child attributes

anthropic

object

Metadata for Anthropic large language models.

Show child attributes

azureOpenAI

object

Metadata for Azure OpenAI large language models.

Show child attributes

googleVertexAI

object

Metadata for Google Vertex AI large language models.

Show child attributes

googleGemini

object

Metadata for Google Gemini large language models.

Show child attributes

alephAlpha

object

Metadata for Aleph Alpha large language models.

Show child attributes

openAICompatible

object

Metadata for OpenAI-compatible large language models.

Show child attributes

assignedToProjects

string[]

MongoDB ObjectId representing a project

Example:

[
  "68edf5dd4c931f68d31111",
  "690b02fc100e454245adde111",
  "68e6eda61ff68d2111"
]

referenceId

string<uuid>

The reference ID of the large language model.

_id

string

Required string length: 24

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

createdAt

integer

Unix-timestamp

Required range: 0 <= x <= 2147483647

Example:

1694518620

lastChanged

integer

Unix-timestamp

Required range: 0 <= x <= 2147483647

Example:

1694518620

createdBy

string

Required string length: 24

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

lastChangedBy

string

Required string length: 24

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

Overview

API

Authorizations

Headers

Body

Response