AI Agent Configuration

The following section outlines the steps required to configure the AI agent.

Agent Settings

  • Navigate to Global Settings → Search for AI Agent Settings and click on Configure Settings action item.

  • Update the following settings based on the requirement -

Settings key Description

AI_AGENT_API_KEY

The authentication key issued by the AI agent provider.

AI_PROVIDER

The name of the AI provider (e.g., ANTHROPIC, OPENAI).

AI_MODEL

The specific model of the configured AI PROVIDER that will be used for code generation.

VECTOR_DB_URL

The endpoint URL of the vector database service.

VECTOR_DB_TOKEN

The authentication token used to access the vector database.

VECTOR_DB_SEARCH_TOKEN

The token used specifically for search/query operations in the vector database.

MULE_VECTOR_DB_COLLECTION_NAME

The name of the vector database collection containing MuleSoft related embeddings.

API_VECTOR_DB_COLLECTION_NAME

The name of the vector database collection containing API related embeddings..

MULE_AGENT_VALIDATOR_CMD

The maven command to be executed for validating the project.

MAVEN_SETTINGS_XML

The Maven settings.xml configuration used for dependency resolution and repository authentication.

MULE_SPECIFICATIONS

Organization specific guidelines and standards that the AI agent must follow while generating the mule project.

API_SPECIFICATIONS

Organization specific guidelines and standards that the AI agent must follow while generating the API specification.

DOC_SPECIFICATIONS

Organization specific guidelines and standards that the AI agent must follow while generating the documentation.

<LANGUAGE>_TEMPLATE_URL

Location of the initial template to be used for generating the project. For Example - MULE_API_PROJECT_TEMPLATE_URL represents the template to be used for generating the mule project. This setting is application only while generating new projects and not while editing an existing project.

  • Save the configuration.

See Also