Overview

The AI Governance Console is a centralized interface for managing AI-powered functionalities within ARPIA. It allows users to configure, monitor, and optimize AI models, integrations, security policies, and performance metrics.

Key Features

1. AI Integration Tokens & Keys

Configure API tokens for various AI providers (OpenAI, Anthropic, Lambda, DeepSeek, JinaAI).
Secure access to generative AI capabilities.

2. Singular Search Settings

Enable semantic search for knowledge grid nodes.
Select an embedding model for search optimization.
Configure AI model preferences for generative queries and chat responses.
Fine-tune model behavior (temperature, max tokens, response limits).

3. AI Security & Ethical Behavior

Enable/disable moderation filtering.
Select a moderation detection model.
Configure AI behavior settings with pre-defined guidelines.

4. General AI Settings

Toggle AI features within workspaces.
Choose models for semantic search and intent detection.
Enable debugging for AI intent recognition.
Set the AI writing assistant model.

5. AI Moderation Logs

Track flagged AI interactions for review.
Categorize logs based on severity and moderation actions taken.

6. AI Workers

Monitor deployed AI workers within various projects.
Search and manage AI agent operations.

7. Agent Responses

Review logs of AI-generated responses.
Search based on thread IDs, user interactions, or tokens used.

8. AI Agents

Manage and deploy AI agents assigned to specific roles.
Assign permissions and access levels.

9. AI Insights & Analytics

Monitor AI usage metrics such as:
- Answer efficiency
- Response duration
- Token usage
Compare AI responses vs. human operator interactions.

Task & Subtasks for Development

Main Task: Develop AI Governance Console in ARPIA

Description: Implement an admin dashboard that allows users to configure and manage AI functionalities across different modules.

Subtasks:

1. Build AI Integration Tokens & Keys Module

Implement input fields for API keys.
Securely store and validate tokens.
Enable dynamic AI provider selection.

2. Develop Singular Search Settings

Integrate semantic search with knowledge nodes.
Implement AI model selection for queries and chat.
Create UI for configuring chat model parameters.

3. Implement AI Security & Ethical Behavior Controls

Add moderation filtering toggle.
Provide a dropdown for moderation model selection.
Implement a field for AI behavior instructions.

4. Design General AI Settings Panel

Add a global AI enable/disable toggle.
Include dropdowns for selecting search and intent detection models.
Implement debugging mode option.
Allow configuration of AI writing assistant.

5. Create AI Moderation Logs Viewer

Develop a searchable and filterable table for flagged logs.
Categorize logs based on severity.
Display action history for each log entry.

6. Develop AI Workers Management

Implement a searchable list of active AI workers.
Allow sorting by deployment status.

7. Build AI Agent Responses Tracking

Store AI responses for review.
Enable filtering by time, user, or model used.

8. Deploy AI Agent Management Module

List AI agents with associated roles.
Implement access control settings.

9. Create AI Insights & Analytics Dashboard

Display response efficiency metrics.
Visualize token usage and AI-human comparison data.