Create a large language model - Cognigy Documentation
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POST
/
v2.0
/
largelanguagemodels
Try it
Create a large language model
cURL
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",
"connectionId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"resourceLevel": "organisation",
"description": "Large language model for customer-facing AI Agents.",
"isCustomModel": true,
"openAI": {
"customModel": "gpt-4-32k-0613"
},
"anthropic": {
"customModel": "claude-sonnet-4-6"
},
"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>"
},
"googleGenAI": {
"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"\
]
}
'
import requests
url = "https://api-trial.cognigy.ai/new/v2.0/largelanguagemodels"
payload = {
"name": "Large language model for customer service",
"connectionId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"resourceLevel": "organisation",
"description": "Large language model for customer-facing AI Agents.",
"isCustomModel": True,
"openAI": { "customModel": "gpt-4-32k-0613" },
"anthropic": { "customModel": "claude-sonnet-4-6" },
"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>" },
"googleGenAI": { "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"]
}
headers = {
"X-API-Key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)
const options = {
method: 'POST',
headers: {'X-API-Key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
name: 'Large language model for customer service',
connectionId: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
resourceLevel: 'organisation',
description: 'Large language model for customer-facing AI Agents.',
isCustomModel: true,
openAI: {customModel: 'gpt-4-32k-0613'},
anthropic: {customModel: 'claude-sonnet-4-6'},
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>'},
googleGenAI: {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']
})
};
fetch('https://api-trial.cognigy.ai/new/v2.0/largelanguagemodels', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));
<?php
$curl = curl_init();
curl_setopt_array($curl, [\
CURLOPT_URL => "https://api-trial.cognigy.ai/new/v2.0/largelanguagemodels",\
CURLOPT_RETURNTRANSFER => true,\
CURLOPT_ENCODING => "",\
CURLOPT_MAXREDIRS => 10,\
CURLOPT_TIMEOUT => 30,\
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,\
CURLOPT_CUSTOMREQUEST => "POST",\
CURLOPT_POSTFIELDS => json_encode([\
'name' => 'Large language model for customer service',\
'connectionId' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',\
'resourceLevel' => 'organisation',\
'description' => 'Large language model for customer-facing AI Agents.',\
'isCustomModel' => true,\
'openAI' => [\
'customModel' => 'gpt-4-32k-0613'\
],\
'anthropic' => [\
'customModel' => 'claude-sonnet-4-6'\
],\
'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>'\
],\
'googleGenAI' => [\
'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'\
]\
]),\
CURLOPT_HTTPHEADER => [\
"Content-Type: application/json",\
"X-API-Key: <api-key>"\
],\
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}
package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api-trial.cognigy.ai/new/v2.0/largelanguagemodels"
payload := strings.NewReader("{\n \"name\": \"Large language model for customer service\",\n \"connectionId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"resourceLevel\": \"organisation\",\n \"description\": \"Large language model for customer-facing AI Agents.\",\n \"isCustomModel\": true,\n \"openAI\": {\n \"customModel\": \"gpt-4-32k-0613\"\n },\n \"anthropic\": {\n \"customModel\": \"claude-sonnet-4-6\"\n },\n \"azureOpenAI\": {\n \"resourceName\": \"<string>\",\n \"deploymentName\": \"<string>\",\n \"apiVersion\": \"<string>\",\n \"baseCustomUrl\": [\n \"https://<resourceName>.openai.azure.com/openai/deployments/<deploymentName>/chat/completions?api-version=<apiVersion>\",\n \"https://<resourceName>.openai.azure.com/openai/deployments/<deploymentName>/completions?api-version=<apiVersion>\",\n \"https://<resourceName>.openai.azure.com/openai/deployments/<deploymentName>/embeddings?api-version=<apiVersion>\"\n ]\n },\n \"googleVertexAI\": {\n \"location\": \"<string>\",\n \"apiEndpoint\": \"<string>\",\n \"publisher\": \"<string>\"\n },\n \"googleGemini\": {\n \"location\": \"<string>\"\n },\n \"googleGenAI\": {\n \"location\": \"<string>\"\n },\n \"alephAlpha\": {\n \"customModel\": \"luminous-003\",\n \"baseCustomUrl\": \"https://api.aleph-alpha.com\"\n },\n \"openAICompatible\": {\n \"customModel\": \"luminous-003\",\n \"baseCustomUrl\": \"https://own-llm-deployment.company.com/openai/v1\",\n \"customAuthHeader\": \"Ocp-Apim-Subscription-Key\"\n },\n \"assignedToProjects\": [\n \"68edf5dd4c931f68d31111\",\n \"690b02fc100e454245adde111\",\n \"68e6eda61ff68d2111\"\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("X-API-Key", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}
HttpResponse<String> response = Unirest.post("https://api-trial.cognigy.ai/new/v2.0/largelanguagemodels")
.header("X-API-Key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"Large language model for customer service\",\n \"connectionId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"resourceLevel\": \"organisation\",\n \"description\": \"Large language model for customer-facing AI Agents.\",\n \"isCustomModel\": true,\n \"openAI\": {\n \"customModel\": \"gpt-4-32k-0613\"\n },\n \"anthropic\": {\n \"customModel\": \"claude-sonnet-4-6\"\n },\n \"azureOpenAI\": {\n \"resourceName\": \"<string>\",\n \"deploymentName\": \"<string>\",\n \"apiVersion\": \"<string>\",\n \"baseCustomUrl\": [\n \"https://<resourceName>.openai.azure.com/openai/deployments/<deploymentName>/chat/completions?api-version=<apiVersion>\",\n \"https://<resourceName>.openai.azure.com/openai/deployments/<deploymentName>/completions?api-version=<apiVersion>\",\n \"https://<resourceName>.openai.azure.com/openai/deployments/<deploymentName>/embeddings?api-version=<apiVersion>\"\n ]\n },\n \"googleVertexAI\": {\n \"location\": \"<string>\",\n \"apiEndpoint\": \"<string>\",\n \"publisher\": \"<string>\"\n },\n \"googleGemini\": {\n \"location\": \"<string>\"\n },\n \"googleGenAI\": {\n \"location\": \"<string>\"\n },\n \"alephAlpha\": {\n \"customModel\": \"luminous-003\",\n \"baseCustomUrl\": \"https://api.aleph-alpha.com\"\n },\n \"openAICompatible\": {\n \"customModel\": \"luminous-003\",\n \"baseCustomUrl\": \"https://own-llm-deployment.company.com/openai/v1\",\n \"customAuthHeader\": \"Ocp-Apim-Subscription-Key\"\n },\n \"assignedToProjects\": [\n \"68edf5dd4c931f68d31111\",\n \"690b02fc100e454245adde111\",\n \"68e6eda61ff68d2111\"\n ]\n}")
.asString();
require 'uri'
require 'net/http'
url = URI("https://api-trial.cognigy.ai/new/v2.0/largelanguagemodels")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["X-API-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"name\": \"Large language model for customer service\",\n \"connectionId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"resourceLevel\": \"organisation\",\n \"description\": \"Large language model for customer-facing AI Agents.\",\n \"isCustomModel\": true,\n \"openAI\": {\n \"customModel\": \"gpt-4-32k-0613\"\n },\n \"anthropic\": {\n \"customModel\": \"claude-sonnet-4-6\"\n },\n \"azureOpenAI\": {\n \"resourceName\": \"<string>\",\n \"deploymentName\": \"<string>\",\n \"apiVersion\": \"<string>\",\n \"baseCustomUrl\": [\n \"https://<resourceName>.openai.azure.com/openai/deployments/<deploymentName>/chat/completions?api-version=<apiVersion>\",\n \"https://<resourceName>.openai.azure.com/openai/deployments/<deploymentName>/completions?api-version=<apiVersion>\",\n \"https://<resourceName>.openai.azure.com/openai/deployments/<deploymentName>/embeddings?api-version=<apiVersion>\"\n ]\n },\n \"googleVertexAI\": {\n \"location\": \"<string>\",\n \"apiEndpoint\": \"<string>\",\n \"publisher\": \"<string>\"\n },\n \"googleGemini\": {\n \"location\": \"<string>\"\n },\n \"googleGenAI\": {\n \"location\": \"<string>\"\n },\n \"alephAlpha\": {\n \"customModel\": \"luminous-003\",\n \"baseCustomUrl\": \"https://api.aleph-alpha.com\"\n },\n \"openAICompatible\": {\n \"customModel\": \"luminous-003\",\n \"baseCustomUrl\": \"https://own-llm-deployment.company.com/openai/v1\",\n \"customAuthHeader\": \"Ocp-Apim-Subscription-Key\"\n },\n \"assignedToProjects\": [\n \"68edf5dd4c931f68d31111\",\n \"690b02fc100e454245adde111\",\n \"68e6eda61ff68d2111\"\n ]\n}"
response = http.request(request)
puts response.read_body
201
400
401
402
403
404
405
409
413
500
501
502
503
504
{
"name": "Large language model for customer service",
"connectionId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"resourceLevel": "organisation",
"description": "Large language model for customer-facing AI Agents.",
"isCustomModel": true,
"openAI": {
"customModel": "gpt-4-32k-0613"
},
"anthropic": {
"customModel": "claude-sonnet-4-6"
},
"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>"
},
"googleGenAI": {
"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>"
}
{
"type": "Bad Request",
"title": "Bad Request Error",
"status": 400,
"detail": "Validation failed. Missing payload.",
"instance": "/v2.0/flows/5ce7c2d833ea1e04d7e6c432",
"code": 1000,
"traceId": "api--f84324f4-98eb-4f02-abdd-375a2e6c3c1f",
"details": {}
}
{
"type": "Unauthorized",
"title": "Unauthorized Error",
"status": 401,
"detail": "<string>",
"instance": "/v2.0/flows/5ce7c2d833ea1e04d7e6c432",
"code": 401,
"traceId": "api--f84324f4-98eb-4f02-abdd-375a2e6c3c1f",
"details": {}
}
{
"type": "Payment Required",
"title": "Payment Required Error",
"status": 402,
"detail": "Validation failed. Missing payload.",
"instance": "/v2.0/flows/5ce7c2d833ea1e04d7e6c432",
"code": 402,
"traceId": "api--f84324f4-98eb-4f02-abdd-375a2e6c3c1f",
"details": {}
}
{
"type": "Forbidden",
"title": "Forbidden Error",
"status": 403,
"detail": "<string>",
"instance": "/v2.0/flows/5ce7c2d833ea1e04d7e6c432",
"code": 1000,
"traceId": "api--f84324f4-98eb-4f02-abdd-375a2e6c3c1f",
"details": {}
}
{
"type": "Not Found",
"title": "Not Found Error",
"status": 404,
"detail": "<string>",
"instance": "/v2.0/flows/5ce7c2d833ea1e04d7e6c432",
"code": 1000,
"traceId": "api--f84324f4-98eb-4f02-abdd-375a2e6c3c1f",
"details": {},
"logLevel": "error"
}
{
"type": "Method Not Allowed",
"title": "Method Not Allowed Error",
"status": 405,
"detail": "<string>",
"instance": "/v2.0/flows/5ce7c2d833ea1e04d7e6c432",
"code": 1000,
"traceId": "api--f84324f4-98eb-4f02-abdd-375a2e6c3c1f",
"details": {}
}
{
"type": "Conflict",
"title": "Conflict Error",
"status": 409,
"detail": "<string>",
"instance": "/v2.0/flows/5ce7c2d833ea1e04d7e6c432",
"code": 1004,
"traceId": "api--f84324f4-98eb-4f02-abdd-375a2e6c3c1f",
"details": {}
}
{
"type": "Payload Too Large",
"title": "Payload Too Large Error",
"status": 413,
"detail": "<string>",
"instance": "/v2.0/flows/5ce7c2d833ea1e04d7e6c432",
"code": 1000,
"traceId": "api--f84324f4-98eb-4f02-abdd-375a2e6c3c1f",
"details": {}
}
{
"type": "Internal Server Error",
"title": "Internal Server Error",
"status": 500,
"detail": "<string>",
"instance": "/v2.0/flows/5ce7c2d833ea1e04d7e6c432",
"code": 1000,
"traceId": "api--f84324f4-98eb-4f02-abdd-375a2e6c3c1f",
"details": {}
}
{
"type": "Not Implemented",
"title": "Not Implemented Error",
"status": 501,
"detail": "<string>",
"instance": "/v2.0/flows/5ce7c2d833ea1e04d7e6c432",
"code": 1009,
"traceId": "api--f84324f4-98eb-4f02-abdd-375a2e6c3c1f",
"details": {}
}
{
"type": "Bad Gateway",
"title": "Bad Gateway Error",
"status": 502,
"detail": "<string>",
"instance": "/v2.0/flows/5ce7c2d833ea1e04d7e6c432",
"code": 1000,
"traceId": "api--f84324f4-98eb-4f02-abdd-375a2e6c3c1f",
"details": {}
}
{
"type": "Service Unavailable",
"title": "Service Unavailable Error",
"status": 503,
"detail": "<string>",
"instance": "/v2.0/flows/5ce7c2d833ea1e04d7e6c432",
"code": 503,
"traceId": "api--f84324f4-98eb-4f02-abdd-375a2e6c3c1f",
"details": {}
}
{
"type": "Gateway Timeout",
"title": "Gateway Timeout Error",
"status": 504,
"detail": "<string>",
"instance": "/v2.0/flows/5ce7c2d833ea1e04d7e6c432",
"code": 1000,
"traceId": "api--f84324f4-98eb-4f02-abdd-375a2e6c3c1f",
"details": {}
}
Authorizations
APIKeyHeaderAPIKeyQueryParamCXoneTokenHeaderOAuth2APIKeyHeaderAPIKeyQueryParamCXoneTokenHeaderOAuth2
X-API-Key
string
header
required
Supply the API Key in the HTTP-Header
Headers
Accept
enum
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
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,
gpt-5.5,
text-embedding-ada-002,
luminous-extended-control,
luminous-embedding-128,
Pharia-1-Embedding-4608,
gemini-embedding-001,
gemini-embedding-2,
claude-3-opus-20240229,
claude-sonnet-4-6,
custom-model,
custom-embedding-model,
gemini-2.5-pro,
gemini-2.5-flash,
gemini-2.5-flash-lite,
gemini-3.1-pro-preview,
gemini-3-flash-preview,
gemini-3.5-flash,
gemini-3.1-flash-lite-preview,
gemini-3.1-flash-lite,
mistral-large-2411,
mistral-small-2503,
pixtral-large-2411,
pixtral-12b-2409
provider
enum
required
Available options:
azureOpenAI,
openAI,
anthropic,
googleVertexAI,
googleGemini,
googleGenAI,
alephAlpha,
awsBedrock,
mistral
connectionId
string
required
The identifier for the large language model connection.
Required string length: 36
resourceLevel
enum
required
Scope for globally scoped resources.
Available options:
organisation
description
string
Example:
"Large language model for customer-facing AI Agents."
modelGroup
enum
Available options:
chat,
completion,
embedding
apiType
enum
The API type for chat models. Defaults to chatCompletion when not specified. The responses API is only supported for OpenAI, Azure OpenAI, and OpenAI Compatible providers.
Available options:
chatCompletion,
responses
isCustomModel
boolean
Example:
true
openAI
object
Metadata for OpenAI large language models.
Showchild attributes
anthropic
object
Metadata for Anthropic large language models.
Showchild attributes
azureOpenAI
object
Metadata for Azure OpenAI large language models.
Showchild attributes
googleVertexAI
object
Metadata for Google Vertex AI large language models.
Showchild attributes
googleGemini
object
Metadata for Google Gemini large language models.
Showchild attributes
googleGenAI
object
Google GenAI specific meta data
Showchild attributes
alephAlpha
object
Metadata for Aleph Alpha large language models.
Showchild attributes
openAICompatible
object
Metadata for OpenAI-compatible large language models.
Showchild attributes
assignedToProjects
string[]
MongoDB ObjectId representing a project
Example:
[\
"68edf5dd4c931f68d31111",\
"690b02fc100e454245adde111",\
"68e6eda61ff68d2111"\
]
Response
201
application/json
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
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,
gpt-5.5,
text-embedding-ada-002,
luminous-extended-control,
luminous-embedding-128,
Pharia-1-Embedding-4608,
gemini-embedding-001,
gemini-embedding-2,
claude-3-opus-20240229,
claude-sonnet-4-6,
custom-model,
custom-embedding-model,
gemini-2.5-pro,
gemini-2.5-flash,
gemini-2.5-flash-lite,
gemini-3.1-pro-preview,
gemini-3-flash-preview,
gemini-3.5-flash,
gemini-3.1-flash-lite-preview,
gemini-3.1-flash-lite,
mistral-large-2411,
mistral-small-2503,
pixtral-large-2411,
pixtral-12b-2409
provider
enum
required
Available options:
azureOpenAI,
openAI,
anthropic,
googleVertexAI,
googleGemini,
googleGenAI,
alephAlpha,
awsBedrock,
mistral
connectionId
string
required
The identifier for the large language model connection.
Required string length: 36
resourceLevel
enum
required
Scope for globally scoped resources.
Available options:
organisation
description
string
Example:
"Large language model for customer-facing AI Agents."
modelGroup
enum
Available options:
chat,
completion,
embedding
apiType
enum
Available options:
chatCompletion,
responses
isCustomModel
boolean
Example:
true
openAI
object
Metadata for OpenAI large language models.
Showchild attributes
anthropic
object
Metadata for Anthropic large language models.
Showchild attributes
azureOpenAI
object
Metadata for Azure OpenAI large language models.
Showchild attributes
googleVertexAI
object
Metadata for Google Vertex AI large language models.
Showchild attributes
googleGemini
object
Metadata for Google Gemini large language models.
Showchild attributes
googleGenAI
object
Google GenAI specific meta data
Showchild attributes
alephAlpha
object
Metadata for Aleph Alpha large language models.
Showchild attributes
openAICompatible
object
Metadata for OpenAI-compatible large language models.
Showchild attributes
assignedToProjects
string[]
MongoDB ObjectId representing a project
Example:
[\
"68edf5dd4c931f68d31111",\
"690b02fc100e454245adde111",\
"68e6eda61ff68d2111"\
]
referenceId
string
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}$
Last modified onJuly 8, 2026
Previous Get a large language modelGets data about a large language model.\ \ Next
Ctrl+I
Create a large language model
cURL
import requests
url = "https://api-trial.cognigy.ai/new/v2.0/largelanguagemodels"
response = requests.post(url, json=payload, headers=headers)
print(response.text)
<?php
$curl = curl_init();
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}
package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api-trial.cognigy.ai/new/v2.0/largelanguagemodels"
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("X-API-Key", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}
require 'uri'
require 'net/http'
url = URI("https://api-trial.cognigy.ai/new/v2.0/largelanguagemodels")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
response = http.request(request)
puts response.read_body
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'; cachedClickBlockingCode = css + js; return cachedClickBlockingCode; }
// Helper: Inject click-blocking code into iframe function injectClickBlocking(iframeDoc) { if (!iframeDoc || !iframeDoc.head) return false;
try { const style = iframeDoc.createElement('style'); style.textContent = 'a,button,input,select,textarea,[onclick],[role="button"],input[type="button"],input[type="submit"],[href],[tabindex]:not([tabindex="-1"]){pointer-events:none!important;cursor:default!important}a:hover,button:hover{cursor:default!important;opacity:0.7!important}'; iframeDoc.head.appendChild(style);
const script = iframeDoc.createElement('script'); script.textContent = '(function(){var preventClick=function(e){e.preventDefault();e.stopPropagation();e.stopImmediatePropagation();return false;};document.addEventListener("click",preventClick,true);document.addEventListener("mousedown",preventClick,true);document.addEventListener("mouseup",preventClick,true);document.addEventListener("touchstart",preventClick,true);document.addEventListener("touchend",preventClick,true);document.addEventListener("contextmenu",preventClick,true);window.addEventListener("beforeunload",function(e){e.preventDefault();e.returnValue="";return "";},true);try{Object.defineProperty(window,"location",{value:{href:"#",replace:function(){},assign:function(){}},writable:false,configurable:false});}catch(e){}var originalPushState=history.pushState;history.pushState=function(){return false;};var originalReplaceState=history.replaceState;history.replaceState=function(){return false;};var originalOpen=window.open;window.open=function(){return null;};var allElements=document.querySelectorAll("*");for(var i=0;i 0 || replacedViewers.length > 0) { const currentUrl = window.location.href; if (!processedUrls.has(currentUrl)) { processedUrls.add(currentUrl); lastUrl = currentUrl; } return; }
const currentUrl = window.location.href; if (currentUrl === lastUrl && lastUrl !== null && processedUrls.has(currentUrl)) { return; }
// Optimized: Use cached viewer query const viewers = getUninitializedViewers();
if (viewers.length === 0) { if (periodicCheckInterval) { clearInterval(periodicCheckInterval); periodicCheckInterval = null; } return; }
// Final safety check if (viewers.length > 0) { if (currentUrl === lastUrl && lastUrl !== null && processedUrls.has(currentUrl)) { viewers.forEach(function(viewer) { viewer.setAttribute('data-initialized', 'true'); }); return; }
if (currentUrl === lastUrl && lastUrl !== null) { if (existingContainers.length > 0) { processedUrls.add(currentUrl); viewers.forEach(function(viewer) { viewer.setAttribute('data-initialized', 'true'); }); return; } } }
isInitializing = true; let processedAny = false;
// Optimized: Process viewers in batch viewers.forEach(function(viewer) { if (processedElements.has(viewer) || viewer.hasAttribute('data-initialized')) { return; }
if (viewer.closest('.single-page-viewer-container')) { return; }
if (!viewer.parentNode) { return; }
const isInContentArea = contentArea === document.body || contentArea.contains(viewer); if (!isInContentArea) { return; }
const src = viewer.getAttribute('data-src'); const hint = viewer.getAttribute('data-hint') || ''; const defaultZoom = parseFloat(viewer.getAttribute('data-zoom')) || DEFAULT_ZOOM; const dataHeight = viewer.getAttribute('data-height'); const height = dataHeight ? parseFloat(dataHeight) : null;
if (!src) { // Don't set isInitializing = false here - it affects all viewers in the loop return; }
processedElements.add(viewer); viewer.setAttribute('data-initialized', 'true');
let zoom = defaultZoom;
// Optimized: Use document fragment for DOM construction const fragment = document.createDocumentFragment(); const container = document.createElement('div'); container.className = 'single-page-viewer-container';
const wrapper = document.createElement('div'); wrapper.className = 'single-page-viewer-wrapper';
const controlsBar = document.createElement('div'); controlsBar.className = 'single-page-viewer-controls';
if (hint) { const hintDiv = document.createElement('div'); hintDiv.className = 'single-page-viewer-hint'; hintDiv.innerHTML = '' + hint + ''; controlsBar.appendChild(hintDiv); }
const iframeWrapper = document.createElement('div'); iframeWrapper.className = 'single-page-viewer-iframe-wrapper'; iframeWrapper._scrollHandlerAdded = false;
// Optimized: Get height without temporary DOM manipulation const baseHeightFromCSS = height || NORMAL_HEIGHT;
const scaleDiv = document.createElement('div'); scaleDiv.className = 'single-page-viewer-scale'; const initialHeight = baseHeightFromCSS; scaleDiv.style.cssText = 'transform: scale(' + zoom + '); transform-origin: top left; width: ' + (100 / zoom) + '%; height: ' + initialHeight + 'px; transition: transform 0.2s ease;';
const iframe = document.createElement('iframe'); let iframeSrc = src; if (iframeSrc && !iframeSrc.startsWith('http') && !iframeSrc.startsWith('//')) { if (!iframeSrc.startsWith('/')) { iframeSrc = '/' + iframeSrc; } }
iframe.title = 'Single Page Viewer'; iframe.className = 'single-page-viewer-iframe'; iframe.style.width = '100%'; iframe.style.height = initialHeight + 'px'; iframe.loading = 'lazy'; iframe.setAttribute('scrolling', 'no'); iframe.setAttribute('sandbox', 'allow-same-origin allow-scripts allow-forms allow-popups allow-modals');
const clickBlocker = document.createElement('div'); clickBlocker.className = 'single-page-viewer-click-blocker';
if (iframeSrc.endsWith('.html') && !iframeSrc.startsWith('http')) { fetch(iframeSrc) .then(function(response) { return response.text().then(function(htmlContent) { if (htmlContent.includes('Page Not Found') || (htmlContent.includes('__next') && htmlContent.includes('mintlify') && !htmlContent.includes('Page saved with SingleFile'))) { throw new Error('Received 404 page instead of HTML file.'); } const blockingCode = getClickBlockingCode(); if (htmlContent.includes('')) { htmlContent = htmlContent.replace('', blockingCode + ''); } else if (htmlContent.includes('')) { htmlContent = htmlContent.replace('', '' + blockingCode); } else { if (htmlContent.includes('')) { htmlContent = htmlContent.replace('', '' + blockingCode + ''); } else { htmlContent = blockingCode + htmlContent; } } iframe.srcdoc = htmlContent; }); }); } else { iframe.src = iframeSrc; }
iframe.addEventListener('load', function() { setTimeout(function() { updateIframeDimensions(iframeWrapper, scaleDiv, iframe, zoom); }, 100);
try { const iframeDoc = iframe.contentDocument || iframe.contentWindow.document; injectClickBlocking(iframeDoc); } catch (e) { // Cross-origin iframe - cannot block clicks } }, { once: true });
iframe.addEventListener('error', function() { // Iframe failed to load - error handling is silent }, { once: true });
scaleDiv.appendChild(iframe); iframeWrapper.appendChild(scaleDiv); if (!iframeSrc.endsWith('.html') || iframeSrc.startsWith('http')) { iframeWrapper.appendChild(clickBlocker); }
if (hint) { wrapper.appendChild(controlsBar); } wrapper.appendChild(iframeWrapper); container.appendChild(wrapper); fragment.appendChild(container);
try { if (viewer.parentNode) { if (viewer === contentArea || viewer.id === 'content-area') { isInitializing = false; return; }
const viewerId = 'viewer-' + Date.now() + '-' + Math.random().toString(36).slice(2, 11); viewer.id = viewerId; viewer.setAttribute('data-viewer-id', viewerId); container.setAttribute('data-viewer-id', viewerId);
// Optimized: Single DOM insertion using fragment if (viewer.nextSibling) { viewer.parentNode.insertBefore(fragment, viewer.nextSibling); } else { viewer.parentNode.appendChild(fragment); }
// Batch style updates Object.assign(viewer.style, { display: 'none', visibility: 'hidden', position: 'absolute', width: '1px', height: '1px', overflow: 'hidden', opacity: '0', pointerEvents: 'none', margin: '0', padding: '0' });
viewer.setAttribute('data-initialized', 'true'); viewer.setAttribute('data-viewer-replaced', 'true');
processedAny = true; invalidateQueryCache();
requestAnimationFrame(function() { updateIframeDimensions(iframeWrapper, scaleDiv, iframe, zoom); }); } } catch (e) { isInitializing = false; return; } });
if (processedAny) { const currentUrl = window.location.href; processedUrls.add(currentUrl); lastUrl = currentUrl; invalidateQueryCache(); }
isInitializing = false; }
// Wait for content area to be available function waitForContentArea(callback, maxAttempts, attempt) { attempt = attempt || 0; maxAttempts = maxAttempts || 20;
const contentArea = document.querySelector('#content-area') || document.querySelector('.mdx-content');
if (contentArea && document.contains(contentArea)) { cachedContentArea = contentArea; callback(); } else if (attempt < maxAttempts) { setTimeout(function() { waitForContentArea(callback, maxAttempts, attempt + 1); }, 500); } else { cachedContentArea = document.body; callback(); } }
// Optimized: Initialize with better state management function initialize() { const currentUrl = window.location.href; if (lastUrl !== currentUrl && lastUrl !== null) { lastUrl = currentUrl; processedUrls.clear(); invalidateQueryCache(); }
if (typeof window !== 'undefined') { window.__lastFullUrl = window.location.href; }
if (lastThemeClass === null && document.documentElement) { lastThemeClass = document.documentElement.className; }
if (!themeObserver && document.documentElement) { themeObserver = new MutationObserver(function(mutations) { for (let i = 0; i < mutations.length; i++) { const mutation = mutations[i]; if (mutation.type === 'attributes' && mutation.attributeName === 'class') { const currentThemeClass = document.documentElement.className; if (lastThemeClass !== null && lastThemeClass !== currentThemeClass) { themeToggleInProgress = true;
// Optimized: Lock containers synchronously const contentArea = getContentArea(); if (contentArea) { const containers = getContainers(true); containers.forEach(function(container) { if (container.getAttribute('data-position-locked') !== 'true') { const rect = container.getBoundingClientRect(); Object.assign(container.style, { position: 'fixed', top: rect.top + 'px', left: rect.left + 'px', width: rect.width + 'px', zIndex: '9999', margin: '0' }); container.setAttribute('data-position-locked', 'true'); containerPositions.set(container, { top: rect.top, left: rect.left, width: rect.width, height: rect.height }); } }); }
let repositionAttempts = 0; const maxRepositionAttempts = 30;
const repositionInterval = setInterval(function() { repositionAttempts++; repositionContainersAfterThemeToggleCore(); // Use core function for immediate repositioning if (repositionAttempts >= maxRepositionAttempts) { clearInterval(repositionInterval); } }, 100);
setTimeout(function() { clearInterval(repositionInterval); themeToggleInProgress = false; repositionContainersAfterThemeToggleCore(); // Use core function for final repositioning unlockContainers(); }, 3000); } lastThemeClass = currentThemeClass; } } });
themeObserver.observe(document.documentElement, { attributes: true, attributeFilter: ['class'] }); }
if (typeof MutationObserver !== 'undefined') { setupObserver(); }
waitForContentArea(function() { setTimeout(function() { initSinglePageViewers(); setTimeout(function() { const remaining = getUninitializedViewers(true); if (remaining.length > 0) { initSinglePageViewers(); } }, INIT_DELAY); }, INIT_DELAY); }); }
// Optimized: Lock/unlock containers function lockContainersInPlace() { const contentArea = getContentArea(); if (!contentArea) return;
const containers = getContainers(true); containerPositions.clear();
requestAnimationFrame(function() { containers.forEach(function(container) { if (container.getAttribute('data-position-locked') !== 'true') { const rect = container.getBoundingClientRect(); Object.assign(container.style, { position: 'fixed', top: rect.top + 'px', left: rect.left + 'px', width: rect.width + 'px', zIndex: '9999', margin: '0' }); container.setAttribute('data-position-locked', 'true'); containerPositions.set(container, { top: rect.top, left: rect.left, width: rect.width, height: rect.height }); } }); }); }
function unlockContainers() { const contentArea = getContentArea(); if (!contentArea) return;
const containers = Array.from( contentArea.querySelectorAll('.single-page-viewer-container[data-position-locked="true"]') );
containers.forEach(function(container) { Object.assign(container.style, { position: '', top: '', left: '', width: '', zIndex: '', margin: '' }); container.removeAttribute('data-position-locked'); // Clean up container position from Map to prevent memory leak containerPositions.delete(container); });
containerPositions.clear(); }
// Optimized: Reposition containers with better DOM operations // Core repositioning function (not debounced for immediate use) function repositionContainersAfterThemeToggleCore() { const contentArea = getContentArea(); if (!contentArea) return;
const containers = getContainers(true);
containers.forEach(function(container) { const viewerId = container.getAttribute('data-viewer-id'); if (!viewerId) return;
let viewer = document.getElementById(viewerId);
if (!viewer) { const iframe = container.querySelector('iframe'); if (iframe && iframe.src) { const allViewers = contentArea.querySelectorAll('[data-single-page-viewer]'); for (let i = 0; i < allViewers.length; i++) { const v = allViewers[i]; if (v.getAttribute('data-src') === iframe.src) { viewer = v; viewer.id = viewerId; viewer.setAttribute('data-viewer-id', viewerId); Object.assign(viewer.style, { display: 'none', visibility: 'hidden', position: 'absolute', width: '1px', height: '1px', overflow: 'hidden', opacity: '0', pointerEvents: 'none', margin: '0', padding: '0' }); viewer.setAttribute('data-initialized', 'true'); viewer.setAttribute('data-viewer-replaced', 'true'); break; } } } }
if (viewer && viewer.parentNode) { if (container.getAttribute('data-position-locked') === 'true') { unlockContainers(); }
const viewerIndex = Array.from(viewer.parentNode.children).indexOf(viewer); const containerIndex = Array.from(viewer.parentNode.children).indexOf(container);
if (containerIndex !== viewerIndex + 1) { // CRITICAL: Check if container is actually a child before removing if (container.parentNode && container.parentNode.contains(container)) { try { container.parentNode.removeChild(container); } catch (e) { return; // Skip repositioning if removal failed } } if (viewer.nextSibling) { viewer.parentNode.insertBefore(container, viewer.nextSibling); } else { viewer.parentNode.appendChild(container); } } else if (container.parentNode !== viewer.parentNode) { // CRITICAL: Check if container is actually a child before removing if (container.parentNode && container.parentNode.contains(container)) { try { container.parentNode.removeChild(container); } catch (e) { return; // Skip repositioning if removal failed } } if (viewer.nextSibling) { viewer.parentNode.insertBefore(container, viewer.nextSibling); } else { viewer.parentNode.appendChild(container); } } } });
invalidateQueryCache(); }
// Debounced version for non-critical repositioning const repositionContainersAfterThemeToggle = debounce(repositionContainersAfterThemeToggleCore, REPOSITION_DEBOUNCE);
// Optimized: Observer setup with better filtering let observer = null; let containerPositionObserver = null; let fallbackObserver = null; // Track fallback observer for cleanup
function setupContainerPositionObserver() { if (typeof MutationObserver === 'undefined') return;
const contentArea = getContentArea(); if (!contentArea || !document.contains(contentArea)) { setTimeout(setupContainerPositionObserver, 500); return; }
if (containerPositionObserver) { containerPositionObserver.disconnect(); }
containerPositionObserver = new MutationObserver(function(mutations) { if (themeToggleInProgress) { // Use core function (not debounced) for immediate repositioning during theme toggle requestAnimationFrame(repositionContainersAfterThemeToggleCore); return; }
let needsReposition = false; for (let i = 0; i < mutations.length && !needsReposition; i++) { if (mutations[i].type === 'childList') { needsReposition = true; } }
if (needsReposition) { clearTimeout(containerPositionObserver._timeout); containerPositionObserver._timeout = setTimeout(repositionContainersAfterThemeToggle, REPOSITION_DEBOUNCE); } });
containerPositionObserver.observe(contentArea, { childList: true, subtree: true, attributes: false, characterData: false });
containerPositionObserver._timeout = null; }
// Optimized: Main observer with better early exits function setupObserver() { if (typeof MutationObserver === 'undefined') return;
const contentArea = getContentArea(); if (!contentArea || !document.contains(contentArea)) { setTimeout(setupObserver, 500); return; }
if (contentArea === document.documentElement || contentArea === document.body) { return; }
if (observer) { const currentObserved = observer._observedElement; if (currentObserved === contentArea && document.contains(contentArea)) { return; } if (currentObserved) { observer.disconnect(); } observer = null; }
observer = new MutationObserver(function(mutations) { if (themeToggleInProgress) return;
let hasNewViewer = false; for (let i = 0; i < mutations.length && !hasNewViewer; i++) { const mutation = mutations[i]; if (mutation.addedNodes && mutation.addedNodes.length > 0) { for (let j = 0; j < mutation.addedNodes.length && !hasNewViewer; j++) { const node = mutation.addedNodes[j]; if (node.nodeType === 1 && node.hasAttribute && node.hasAttribute('data-single-page-viewer') && !node.hasAttribute('data-initialized') && !node.hasAttribute('data-viewer-replaced')) { hasNewViewer = true; } } } }
if (hasNewViewer) { // Use core function for immediate repositioning when new viewer detected repositionContainersAfterThemeToggleCore(); setTimeout(repositionContainersAfterThemeToggleCore, 10); setTimeout(repositionContainersAfterThemeToggleCore, 50); setTimeout(repositionContainersAfterThemeToggleCore, 200); }
clearTimeout(observerTimeout); observerTimeout = setTimeout(function() { if (themeToggleInProgress) return;
let hasNewViewer = false; for (let i = 0; i < mutations.length && !hasNewViewer; i++) { const mutation = mutations[i];
if (mutation.target === document.documentElement || mutation.target === document.body) { continue; }
if (mutation.type === 'attributes' && mutation.attributeName === 'class' && mutation.target === document.documentElement) { continue; }
if (mutation.type === 'attributes' && mutation.attributeName === 'data-initialized') { const target = mutation.target; if (target && target.hasAttribute && target.hasAttribute('data-single-page-viewer') && !target.hasAttribute('data-initialized')) { hasNewViewer = true; } }
if (mutation.addedNodes && mutation.addedNodes.length > 0) { for (let j = 0; j < mutation.addedNodes.length && !hasNewViewer; j++) { const node = mutation.addedNodes[j]; if (node.nodeType === 1 && node.hasAttribute && node.hasAttribute('data-single-page-viewer') && !node.hasAttribute('data-initialized')) { hasNewViewer = true; } } } }
if (hasNewViewer) { invalidateQueryCache(); initSinglePageViewers(); } }, OBSERVER_DEBOUNCE); });
observer.observe(contentArea, { childList: true, subtree: true, attributes: true, attributeFilter: ['data-initialized'], characterData: false });
observer._observedElement = contentArea; setupContainerPositionObserver(); }
function start() { setupObserver(); initialize(); }
function checkAndInitialize() { if (isInitializing) return;
const currentUrl = window.location.href; if (currentUrl === lastUrl && lastUrl !== null) { return; }
const contentArea = document.querySelector('#content-area') || document.querySelector('.mdx-content'); if (contentArea) { const viewers = getUninitializedViewers(true); if (viewers.length > 0) { cachedContentArea = contentArea; setupObserver(); initialize(); } } }
if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', start); } else { setTimeout(start, 100); }
if (typeof window !== 'undefined' && window.next) { let initialLoadAttempts = 0; const maxInitialAttempts = 4; const attemptDelays = [200, 500, 1000, 2000]; const initialUrl = window.location.href;
attemptDelays.forEach(function(delay) { setTimeout(function() { if (initialLoadAttempts < maxInitialAttempts) { initialLoadAttempts++; if (window.location.href === initialUrl) { checkAndInitialize(); } } }, delay); }); }
window.addEventListener('popstate', function(e) { const currentUrl = window.location.href; if (currentUrl !== lastUrl) { handleNavigation(); } });
if (typeof window !== 'undefined') { if (window.next && window.next.router && window.next.router.events) { window.next.router.events.on('routeChangeComplete', function(url) { lastUrl = window.location.href; isInitializing = false; pendingInitCall = false; if (navigationTimeout) { clearTimeout(navigationTimeout); navigationTimeout = null; } invalidateContentAreaCache(); invalidateQueryCache(); setTimeout(function() { setupObserver(); initialize(); }, 300); });
window.next.router.events.on('routeChangeStart', function(url) { isInitializing = false; pendingInitCall = false; }); }
if (!window.next || !window.next.router) { const originalPushState = history.pushState; const originalReplaceState = history.replaceState;
history.pushState = function() { originalPushState.apply(history, arguments); setTimeout(function() { if (window.location.href !== lastUrl) { handleNavigation(); } }, 0); };
history.replaceState = function() { originalReplaceState.apply(history, arguments); setTimeout(function() { if (window.location.href !== lastUrl) { handleNavigation(); } }, 0); }; } }
document.addEventListener('visibilitychange', function() { if (!document.hidden) { isInitializing = false; startPeriodicCheck(); if (!pendingInitCall) { pendingInitCall = true; setTimeout(function() { pendingInitCall = false; initSinglePageViewers(); }, INIT_DELAY / 2); } } });
function startPeriodicCheck() { if (periodicCheckInterval) return;
periodicCheckInterval = setInterval(function() { const uninitialized = getUninitializedViewers(true); if (uninitialized.length === 0) { clearInterval(periodicCheckInterval); periodicCheckInterval = null; } else if (!isInitializing) { initSinglePageViewers(); } }, 2000); }
setTimeout(startPeriodicCheck, INIT_DELAY * 2);
window.__singlePageViewerInit = function() { const currentUrl = window.location.href; if (currentUrl === lastUrl) { return; }
isInitializing = false; pendingInitCall = false; lastUrl = currentUrl; invalidateContentAreaCache(); invalidateQueryCache(); setupObserver(); initialize(); };
window.__singlePageViewerCheck = function() { invalidateQueryCache(); initSinglePageViewers(); }; })();
// Optimized: Second IIFE for navigation handling (function() { 'use strict';
let lastPathname = window.location.pathname; let lastInitializedPathname = window.location.pathname;
function checkAndInit() { const currentPathname = window.location.pathname; if (currentPathname === lastInitializedPathname) { return; }
lastInitializedPathname = currentPathname; if (typeof window !== 'undefined') { window.__lastFullUrl = window.location.href; }
if (window.__singlePageViewerInit) { window.__singlePageViewerInit(); } }
function runInit() { if (window.__singlePageViewerInit) { setTimeout(checkAndInit, 100); } else { let attempts = 0; const maxAttempts = 50; const checkInterval = setInterval(function() { attempts++; if (window.__singlePageViewerInit) { clearInterval(checkInterval); setTimeout(checkAndInit, 100); } else if (attempts >= maxAttempts) { clearInterval(checkInterval); } }, 100); } }
if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', runInit); } else { setTimeout(runInit, 100); }
if (typeof window !== 'undefined' && window.next && window.next.router && window.next.router.events) { window.next.router.events.on('routeChangeComplete', function(url) { lastPathname = window.location.pathname; setTimeout(checkAndInit, 300); }); }
setInterval(function() { const currentPathname = window.location.pathname; if (currentPathname !== lastPathname) { lastPathname = currentPathname; setTimeout(checkAndInit, 300); } }, 500);
if (typeof MutationObserver !== 'undefined') { let fallbackObserverTimeout = null; // Store in outer scope for cleanup tracking fallbackObserver = new MutationObserver(function(mutations) { if (fallbackObserverTimeout) { clearTimeout(fallbackObserverTimeout); } fallbackObserverTimeout = setTimeout(function() { const contentArea = document.querySelector('#content-area'); if (contentArea) { const uninitialized = contentArea.querySelectorAll( '[data-single-page-viewer]:not([data-initialized]):not(.single-page-viewer-container [data-single-page-viewer])' ); if (uninitialized.length > 0) { const currentPathname = window.location.pathname; if (currentPathname !== lastInitializedPathname) { setTimeout(checkAndInit, 200); } } } }, 500); });
if (document.body) { fallbackObserver.observe(document.body, { childList: true, subtree: true }); } else { document.addEventListener('DOMContentLoaded', function() { if (document.body) { fallbackObserver.observe(document.body, { childList: true, subtree: true }); } }); } } })();