Intent.Common.AI

The Intent.Common.AI module provides shared infrastructure, settings, and metadata used across all AI-related modules in Intent Architect.

This module includes:

• Common configuration models for AI providers
• Standardized settings for prompts, token limits, and model selection
• Utilities and abstractions to streamline AI module development

Note

This module is intended to be used as a dependency for other AI modules and is not directly used for AI task execution.

User Settings

AI provider details are configured in User Settings. These settings are user-specific, stored outside of the solution folder, and are not committed to source control.

The User Settings are available from the User menu in the top-right hand corner of Intent Architect:

Within the User Settings, is an AI Settings section:

Use the Provider dropdown to select any supported provider and configure its credentials and defaults. When the relevant modules are installed, a Model dropdown becomes available so you can choose the exact model exposed by that provider. You can move between saved provider/model combinations at any time, and each keeps its own stored settings for quick reuse.

Available Settings

• Provider: The AI provider to use. Supported options:
  • OpenAI
  • OpenAI Compatible
  • Azure OpenAI
  • Anthropic
  • Open Router
  • Google Gemini
  • Ollama

Note

GitHub Copilot is not available as a provider option because it does not offer public API access. GitHub Copilot requires authentication tokens originating from the GitHub Copilot platform itself. For more information, see the GitHub documentation.

• Model: The LLM model to use, specific to the selected provider. If a provider or model you need is missing, contact [email protected] to let us know.
  • Stored settings are provider-specific, so you can configure each supported provider without losing your previous selections.
• API Key: The API key used to authenticate with the provider.
  • You can store a separate key for each provider if needed.
  • Instead of storing them in here, you can fall back to using environment variables:
    • OpenAI: OPENAI_API_KEY
    • Azure OpenAI: AZURE_OPENAI_API_KEY
    • Anthropic: ANTHROPIC_API_KEY
    • Open Router: OPENROUTER_API_KEY
    • Google Gemini: GOOGLE_API_KEY or GEMINI_API_KEY
    • OpenAI Compatible: OPENAI_COMPATIBLE_API_KEY
    • Ollama: OLLAMA_API_KEY
• Max Tokens: Specifies the maximum number of tokens (input + output) the AI can process in a single prompt.
• API URL: The endpoint URL used to connect to the AI provider’s API.
• Deployment Name: The name of the deployed model to use when calling Azure OpenAI.

Provider Details

OpenAI Details

• Sign up for API access: OpenAI Platform
• Available models: OpenAI Models
• Pricing: OpenAI Pricing

OpenAI Compatible Details

• Description: Use this option for any third-party service that exposes a REST API compatible with OpenAI's schema (chat/completions).
• Setup: Provide the service's base URL, API token, and model identifier in the AI settings. These values override the defaults used for OpenAI.
• Support: Compatibility can vary per provider. If you encounter issues, contact Intent support at [email protected].

Azure OpenAI Details

• Sign up for Azure account: Azure Free Account
• Available models: Azure OpenAI Models
• Pricing: Azure OpenAI Pricing

Anthropic Details

• Sign up for API access: Anthropic Console
• Available models: Anthropic Models
• Pricing: Anthropic Pricing

Open Router Details

• Sign up for API access: Open Router
• Available models: 400+ models from 60+ providers (see List Available Models) — includes models from OpenAI, Anthropic, Google, open-source ones.
• Pricing: Varies per model; example per-token rates (prompt vs completion) given in the model catalog.

Google Gemini Details

• Sign up for API access: Google AI Studio
• Available models: Gemini Models
• Pricing: Gemini Pricing

Ollama Details

• Download and install: Ollama Download
• Available models: Ollama Model Library
• Pricing: Models are free but will require powerful hardware to run locally
• Using cloud models: Keep to the http://localhost:11434 url, specify to use a cloud model instead (i.e. qwen3-coder:480b-cloud). First sign in to cloud account on Ollama client.