Data Source: oci_generative_ai_projects

This data source provides the list of Projects in Oracle Cloud Infrastructure Generative AI service.

Lists the generativeAiProjects of a specific compartment.

Example Usage

data "oci_generative_ai_projects" "test_projects" {
	#Required
	compartment_id = var.compartment_id

	#Optional
	display_name = var.project_display_name
	id = var.project_id
	state = var.project_state
}

Argument Reference

The following arguments are supported:

• compartment_id - (Required) The OCID of the compartment in which to list resources.
• display_name - (Optional) A filter to return only resources that match the given display name exactly.
• id - (Optional) The OCID of the generativeAiProject.
• state - (Optional) A filter to return only resources whose lifecycle state matches the given value.

Attributes Reference

The following attributes are exported:

• generative_ai_project_collection - The list of generative_ai_project_collection.

Project Reference

The following attributes are exported:

• compartment_id - Owning compartment OCID for a GenerativeAiProject.
• conversation_config - Holds configuration related to conversation retention
  • conversations_retention_in_hours - Retention period (in hours) for conversations. The TTL starts from the time the conversation was last updated.
  • responses_retention_in_hours - Retention period (in hours) for responses. The TTL starts from the time the response was created.
• defined_tags - Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
• description - An optional description of the GenerativeAiProject.
• display_name - A user-friendly name.
• freeform_tags - Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags. Example: {"Department": "Finance"}
• id - An OCID that uniquely identifies a GenerativeAiProject.
• lifecycle_details - A message describing the current state in more detail that can provide actionable information.
• long_term_memory_config - Configuration settings for long-term memory behavior.
  • standard_long_term_memory_strategy - Standard strategy settings for long-term memory.
    • embedding_config - Configuration for generating embeddings from extracted information.
      • llm_selection - LLM selection configuration.
        • llm_selection_type - The type of LLM selection.
        • model_id - The id of the GenAI model
    • extraction_config - Configuration for information extraction from conversation content.
      • llm_selection - LLM selection configuration.
        • llm_selection_type - The type of LLM selection.
        • model_id - The id of the GenAI model
    • is_enabled - Indicates whether long-term memory is enabled.
• short_term_memory_optimization_config - Configuration settings for short-term memory optimization.
  • condenser_config - Configuration for condensing conversation content.
    • llm_selection - LLM selection configuration.
      • llm_selection_type - The type of LLM selection.
      • model_id - The id of the GenAI model
  • is_enabled - Indicates whether short-term memory optimization is enabled.
• state - The lifecycle state of a GenerativeAiProject.
• system_tags - System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
• time_created - The date and time that the generativeAiProject was created in the format of an RFC3339 datetime string.
• time_updated - The date and time that the generativeAiProject was updated in the format of an RFC3339 datetime string.