The LLM Provider panel allows you to configure the application to use your LLM account to generate recommended fixes for static analysis violations. The functionality has been tested on GPT-4o, GPT-4o-mini and GPT-4.1 from OpenAI.

Note: LLM integration in Visual Studio is supported in VS 2019 and later.

• The "LLM Integration" feature must be enabled in your license.
• Access to your OpenAI, Azure OpenAI or another LLM provider account is required.

• LLM providers are supported if they:

  • Have a chat completions endpoint compatible with the OpenAI REST API.
  • Provide an embedding endpoint that is compatible with the OpenAI REST API (an embedding model with at least an 8,000 token limit is recommended for best performance).
  • Are not reasoning models.

Follow these steps to enable the LLM functionality:

1. In your IDE, click Parasoft in the menu bar and choose Options.

2. Select LLM Provider. 
3. Set the following preferences:

• Enable: Enables generating AI-recommended fixes for static analysis violations.

• Provider: Choose between OpenAI, Azure OpenAI or Other.
• Configuration (OpenAI)
  • API key: Your OpenAI token.
  • Organization ID: (Optional) The Organization ID you want to use when accessing the OpenAI client. If no Organization ID is supplied, the default organization ID for your account will be used.
  • Test Connection: Click to test the connection to OpenAI.
  • Model > Chat: The name of your OpenAI model, for example gpt-4o.
  • Model > Embedding: (Optional) The name of your OpenAI embedding model.
• Configuration (Azure OpenAI)
  • Resource Name: The Azure resource that contains your deployed Azure OpenAI model.
  • API key: Your Azure OpenAI token.
  • Deployment ID > Chat: The deployment name of your Azure OpenAI model.
  • Deployment ID > Embedding: (Optional) The deployment name of your Azure OpenAI embedding model.
  • Test Connection: Click to test the connection to Azure OpenAI.
• Configuration (Other)
  • Base URL: The URL of the location where your LLM model is deployed.
  • API key / Access token: Your LLM provider token.
  • Model > Chat: The name of your LLM model.
  • Model > Embedding: (Optional) The name of your LLM embedding model.
  • Test Connection: Click to test the connection to the LLM provider.