Generative Ai Agent Runtime

oci.generative_ai_agent_runtime.GenerativeAiAgentRuntimeClient	OCI Generative AI Agents is a fully managed service that combines the power of large language models (LLMs) with an intelligent retrieval system to create contextually relevant answers by searching your knowledge base, making your AI applications smart and efficient.
oci.generative_ai_agent_runtime.GenerativeAiAgentRuntimeClientCompositeOperations	This class provides a wrapper around GenerativeAiAgentRuntimeClient and offers convenience methods for operations that would otherwise need to be chained together.

Models

oci.generative_ai_agent_runtime.models.ChatDetails	Chat details for managing user interactions and tool executions.
oci.generative_ai_agent_runtime.models.ChatResult	The response of a chat request.
oci.generative_ai_agent_runtime.models.Citation	The source of information for the agent’s response.
oci.generative_ai_agent_runtime.models.CreateSessionDetails	Information about the new session.
oci.generative_ai_agent_runtime.models.ErrorTrace	The trace information about the error.
oci.generative_ai_agent_runtime.models.ExecutionTrace	Contains trace information related to execution of tool.
oci.generative_ai_agent_runtime.models.FunctionCall	Represent a function call the client need to execute in order to fulfill the required action.
oci.generative_ai_agent_runtime.models.FunctionCallingPerformedAction	Represents an action for recording the result of a function call.
oci.generative_ai_agent_runtime.models.FunctionCallingRequiredAction	Represents an action for submitting function call outputs.
oci.generative_ai_agent_runtime.models.GenerationTrace	The trace information about the generated response.
oci.generative_ai_agent_runtime.models.GenericToolInput	Represents a generic tool input schema that accepts flexible, freeform JSON parameters.
oci.generative_ai_agent_runtime.models.GenericToolOutput	Specifies an output format for tools that return freeform or unstructured JSON content.
oci.generative_ai_agent_runtime.models.HumanApprovalPerformedAction	An action describing user approval to the agent.
oci.generative_ai_agent_runtime.models.HumanApprovalRequiredAction	An object describing human confirmation of tool execution that is required from the user.
oci.generative_ai_agent_runtime.models.KnowledgeBaseMetadataSummary	Represents metadata about a field including its name, type, supported operations, and possible values.
oci.generative_ai_agent_runtime.models.KnowledgeBaseMetadataValue	Represents a metadata value and the number of appearances in knowledge base.
oci.generative_ai_agent_runtime.models.Message	The Message resource generated by the agent.
oci.generative_ai_agent_runtime.models.MessageContent	The content of the message.
oci.generative_ai_agent_runtime.models.MetadataFilter	Filter for retrieving specific metadata
oci.generative_ai_agent_runtime.models.ModelDetails	Model details.
oci.generative_ai_agent_runtime.models.ModelParams	Details of model parameters.
oci.generative_ai_agent_runtime.models.OciDatabaseSourceLocation	The location of the OCI Database that the agent will use.
oci.generative_ai_agent_runtime.models.OciObjectStorageSourceLocation	The OCI Object Storage that contains the data files.
oci.generative_ai_agent_runtime.models.OciOpenSearchSourceLocation	The location of the OCI Search with OpenSearch that the agent will use.
oci.generative_ai_agent_runtime.models.Paragraph	The paragraph of the generated message that contains a citation.
oci.generative_ai_agent_runtime.models.ParagraphCitation	The source of information for the paragraph of agent’s response.
oci.generative_ai_agent_runtime.models.PerformedAction	The base structure for an action that has already been performed.
oci.generative_ai_agent_runtime.models.PlanningTrace	Contains trace information related to planning at the platform.
oci.generative_ai_agent_runtime.models.RagToolOutput	Specifies the output format for RAG tool, including the generated answer and citations.
oci.generative_ai_agent_runtime.models.RequiredAction	Represents an action that needs to be performed by the user or client.
oci.generative_ai_agent_runtime.models.RetrievalTrace	The trace that displays the retrieval information.
oci.generative_ai_agent_runtime.models.RetrieveMetadataDetails	Details to retrieve metadata
oci.generative_ai_agent_runtime.models.Session	A session represents an interactive conversation initiated by a user through an API to engage with an agent.
oci.generative_ai_agent_runtime.models.SourceDetails	The details of source of the event.
oci.generative_ai_agent_runtime.models.SourceLocation	The location of the data files that the agent will use.
oci.generative_ai_agent_runtime.models.SqlResultFiles	Specifies file locations for SQL result data.
oci.generative_ai_agent_runtime.models.SqlToolOutput	Specifies the output format for SQL tools, including the generated SQL statement and an optional preview of the query result.
oci.generative_ai_agent_runtime.models.ToolInput	Base object for tool input parameters.
oci.generative_ai_agent_runtime.models.ToolInvocationTrace	The trace information about the tool selection from multiple tools.
oci.generative_ai_agent_runtime.models.ToolOutput	Base schema for tool outputs.
oci.generative_ai_agent_runtime.models.Trace	The trace that displays the internal progression, such as reasoning and actions during an execution.
oci.generative_ai_agent_runtime.models.UpdateSessionDetails	Information about the updated session.
oci.generative_ai_agent_runtime.models.Usage	Details of usage.
oci.generative_ai_agent_runtime.models.UsageDetails	Usage details.