> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cognigy.com/llms.txt
> Use this file to discover all available pages before exploring further.
# OpenAI
export const largeLanguageModelId_0 = undefined
export const alternative_0 = "Switch to the `https://api.openai.com/v1/chat/completions` API instead before the removal date."
Updated in 2026.10
As of Cognigy.AI 2026.6.0, the support for the Completions API for custom LLMs is deprecated. The full removal is planned for Cognigy.AI 2026.24.0. {alternative_0}
To start using an OpenAI model with Cognigy.AI features, follow these steps:
1. [Add Models](#add-models)
2. [Apply the Model](#apply-the-model)
## Add Models
You can add a model using one of the following interfaces:
* [GUI](#add-models-via-gui)
* [API](#add-models-via-the-api)
### Add Models via GUI
You can add a model provided by OpenAI to Cognigy.AI in **Build > LLM**. To add the model, you will need the following parameters:
| Parameter | Description |
| --------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| apiKey | Add an API Key from your OpenAI account. You can find this key in the [User settings](https://help.openai.com/en/articles/4936850-where-do-i-find-my-secret-api-key) of your OpenAI account. |
| API Type | Select the API format for chat models. **Chat Completion** uses the [Chat Completions API](https://platform.openai.com/docs/api-reference/chat). **Responses** uses the [Responses API](https://platform.openai.com/docs/api-reference/responses). The default is **Chat Completion**. This option is only available for chat models that support both API types. |
| Parameter | Description |
| ---------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Model Type | Select one of the following options:- **Chat** — lets you use either the [Chat Completions](https://platform.openai.com/docs/api-reference/chat) or [Responses](https://platform.openai.com/docs/api-reference/responses) API for chat models.
- **Completion** — uses the `https://api.openai.com/v1/completions` API
- **Embedding** — uses the `https://api.openai.com/v1/embeddings` API.
For more information, refer to the [OpenAI Text Generation Models](https://platform.openai.com/docs/guides/text-generation) documentation. |
| Model Name | Enter the name of the model that you want to use as a custom model. To find model names, refer to the [OpenAI models](https://developers.openai.com/api/docs/models) documentation.
|
| apiKey | Add an API Key from your OpenAI account. You can find this key in the [User settings](https://help.openai.com/en/articles/4936850-where-do-i-find-my-secret-api-key) of your OpenAI account. |
| API Type | Appears only when **Chat** is selected as the model type. Select one of the following API options for chat models:- **Chat Completion** — uses the `https://api.openai.com/v1/chat/completions` API. This option is selected by default.
- **Responses** — uses the `https://api.openai.com/v1/responses` API.
Make sure the model supports the selected API type. |
Apply changes. Check if the connection was set up by clicking **Test**.
### Add Models via the API
You can add either a standard or custom model using the [Cognigy.AI API POST /v2.0/largelanguagemodels](https://api-trial.cognigy.ai/openapi#post-/v2.0/largelanguagemodels) request.
Then, test your connection for the created model via the [Cognigy.AI API POST /v2.0/largelanguagemodels/{largeLanguageModelId_0}/test](https://api-trial.cognigy.ai/openapi#post-/v2.0/largelanguagemodels/-largeLanguageModelId-/test).
## Apply the Model
To apply a model, follow these steps:
1. In the left-side menu of the Project, go to **Manage > Settings**.
2. Go to the section based on your use case for using a model:
* **Generative AI Settings**. In the **Generative AI Settings** section, activate **Enable Generative AI Features**. This setting is toggled on by default if you have previously set up the Generative AI credentials.
* **Knowledge AI Settings**. Use this section if you need to add a model for Knowledge AI. Select a model for the **Knowledge Search** and **Answer Extraction** features. Refer to the [list of standard models](https://docs.cognigy.com/ai/empower/llms/model-support-by-feature/) and find the models that support these features.
3. Navigate to the desired feature and select a model from the list. If there are no models available for the selected feature, the system will automatically select **None**. Save changes.
## More Information
* [Other LLM Operations](/ai/agents/develop/gen-ai-and-llms/other-operations)
* [Overview](/ai/agents/develop/gen-ai-and-llms/llms)
* [All LLM Providers](/ai/agents/develop/gen-ai-and-llms/providers/all-providers)
* [Model support by feature](/ai/agents/develop/gen-ai-and-llms/model-support-by-feature)
* [Azure OpenAI](/ai/agents/develop/gen-ai-and-llms/providers/microsoft-azure-openai)