Gen AI

The Gen AI application enables organizations to use Generative AI features within Infraon. After installation, admins can configure providers such as Gemini, OpenAI, Azure, and Infraon, add API keys, set token limits, and select models for different tasks. The system uses the chosen provider for each AI action, monitors token usage, switches keys when needed, and falls back to Infraon AI if limits are reached. All AI activity and key usage are captured in audit logs for tracking.

How to Install

Installation Steps

Step 1: Go to the Marketplace tab on the left navigation panel to begin the integration. Click on the Gen AIcard from the available integrations to open the plugin details page.

Step 2: On the plugin page, click the Install button to add the Gen AI integration to your Infraon environment.

Once installed, the configuration page will become available for setup.

After installation, the available providers to add are:

  • OpenAI

  • Azure

  • Infraon

  • Gemini

Step 3: To configure an AI provider, click Add New and enter the required details for the API key.

Use the table below to understand each field and the type of information to provide.

Label
Actions
Description / Example

Key Name *

Enter a text value

A name to identify this API key within Infraon. Example: openai-key-001

API Key *

Enter the provider’s API key

Paste the API key generated from the selected provider’s dashboard. Example: sk-proj-7c6eUKP04ylIyYT...

Monthly Token Limit*

Enter a numeric value

Defines the maximum number of tokens allowed for this key per month. Example: 2000000

Chat Model*

Select from the dropdown

The chat or language model to be used for text-based tasks. Example: gpt-4o-mini

Embedding Model*

Select from the dropdown

The embedding model used for vector generation or semantic tasks. Example: text-embedding-3-large

Step 4: After adding API keys, select the corresponding app from the Available Apps list to view the installed keys. Click Provider Settings to configure how the selected AI provider is used within Infraon.

You can assign models to specific AI features or apply a single configuration to all AI features. Use the table below to understand each setting.

Label
Action
Description / Example

Use for All AI Features

Toggle On/Off

When enabled, the selected model is applied to all AI features. When disabled, you can map specific models to individual features.

Features*

Select one or more features.

Choose the Infraon AI features that should use this provider’s configuration. Example: Select from Text Enhancement, KB Conversion, Service Classification, and Bots.

Model*

Select from the dropdown.

Pick the model to use for the selected features. This depends on the provider and the available model list. Example: gpt-4, gpt-4o-mini, etc.

Click Save to apply the provider configuration.

Step 5: Click the Settings icon to view and update how the installed API keys are applied across Gen AI features.

Label
Action
Description / Example

Find Similar Incidents

Toggle ON/OFF and select an API key

Uses AI to identify and suggest similar incident tickets based on description and context.Example: When raising an incident, the system suggests: “Similar incident found: Network outage reported yesterday.”

Agentic AI Assistant

Toggle ON/OFF and select an API key

Enables the AI-powered assistant to help with responses, summaries, and task suggestions during ticket handling.Example: While updating a ticket, the assistant suggests a draft response or a summary.

SLA Breach Prediction

Toggle ON/OFF and select an API key

Predicts potential SLA breaches before they occur by analyzing ticket data and patterns.Example: System highlights: “This incident is likely to breach SLA in 2 hours.”

Incidents to KB

Toggle ON/OFF and select an API key

Converts resolved incidents into Knowledge Base articles using AI-generated summaries and solutions.Example: After closing a ticket, AI generates a KB article draft with issue, cause, and resolution.

Changes applied here determine which provider and key will be used for each AI task within Infraon.

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