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You can configure GenAI connection details through Kyvos Manager. The default configurations are auto-populated, and you can modify these settings as needed.

To configure the GenAI connection, perform the following steps: 

  1. On the navigation pane, click Kyvos and Ecosystem > Kyvos Copilot Configuration.
    The page displays information about the Kyvos Copilot Configuration connection details.

  2. Enter details as:

Parameter/Field

Description

Enable

Click this checkbox to

Connection Name

A unique name that identifies your GenAI connections.

Provider

The name of the GenAI provider the system will use to generate output.

URL

The URL of the provider-specific endpoint for generating output.

Authentication Key

A unique key for authenticating and authorizing requests to the provider's endpoint.

Model

The name of the GenAI LLM model used to generate the output.

Temperature

Configures temperature, controlling randomness. Lowering it results in less random completions. As the temperature approaches zero, the model becomes deterministic and repetitive. It is recommended to alter either this or top p, but not both.

  • Default Value: 1

  • Minimum Value: 0

  • Maximum Value: 2

Maximum length

Specifies the maximum number of tokens shared between the prompt and output, which varies by model. One token is roughly four characters for English text.

  • Default Value: 1

  • Minimum Value: 0

  • Maximum Value: 10000

Top P

Controls diversity via nucleus sampling. If set to 0.5, half of all likelihood-weighted options are considered. It is recommended to adjust either this or the temperature parameter, but not both.

  • Default Value: 1

  • Minimum Value: 0

  • Maximum Value: 1

Frequency penalty

Specifies a number between -2.0 and 2.0. Positive values penalize new tokens based on their frequency in the existing text. This reduces the likelihood of the model repeating the same line verbatim.

  • Default Value: 1

  • Minimum Value: -2

  • Maximum Value: 2

Presence penalty

Specifies a number between -2.0 and 2.0. Positive values penalize new tokens based on their appearance in the text so far, thereby increasing the model's likelihood of discussing new topics.

  • Default Value: 1

  • Minimum Value: -2

  • Maximum Value: 2

  1. Click Save.

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