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Updated in 2026.19
As of Cognigy 2026.6.0, the support for the Completions API for custom LLMs is deprecated. The full removal is planned for Cognigy 2026.24.0.
The gpt-5-1, gpt-5-2, gpt-5-4, gpt-5-4-mini, gpt-5-4-nano, gpt-5-5, gpt-5-6-sol, gpt-5-6-terra, and gpt-5-6-luna models default to reasoning.effort: "low" on the Responses API. The reasoning.effort parameter controls how much effort the model uses to think through a request. Higher effort can help the model handle more complex requests, while lower effort can yield faster responses. Supported values, such as "none", "low", "medium", and "high", and their behavior may vary by model and API. Check your LLM provider’s documentation for supported values and behavior.To override this default value, set reasoning.effort in Custom Model Options.The default temperature is 1.0. To override this value, you must set reasoning.effort: "none" and adjust the Temperature parameter or set temperature in Custom Model Options.
To start using an OpenAI model with Cognigy features, follow these steps:
  1. Add Models
  2. Apply the Model

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Restrictions

  • The gpt-5-5, gpt-5-6-sol, gpt-5-6-terra, and gpt-5-6-luna models support only the Responses API.

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Add Models

You can add a model using one of the following interfaces:

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Add Models via GUI

You can add a model provided by OpenAI to Cognigy in Build > LLM. To add the model, you will need the following parameters:
Apply changes. Check if the connection was set up by clicking Test. You can switch generative models at any time using the Model list without setting up a new connection. For embedding models, the selection is locked because different embedding models can generate incompatible embeddings for Knowledge AI. To switch an embedding, delete the connection and create a new one.

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Add Models via the API

You can add either a standard or custom model using the Cognigy API POST /v2.0/largelanguagemodels request. Then, test your connection for the created model via the Cognigy API POST /v2.0/largelanguagemodels//test.

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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 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.

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More Information

Last modified on September 14, 2026