bedrockagentcore_ingest_data: Submits content directly for ingestion to generate long-term...

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Submits content directly for ingestion to generate long-term memory records in a AgentCore Memory resource

Description

Submits content directly for ingestion to generate long-term memory records in a AgentCore Memory resource.

See https://www.paws-r-sdk.com/docs/bedrockagentcore_ingest_data/ for full documentation.

Usage

bedrockagentcore_ingest_data(
  memoryId,
  source,
  contentTimestamp,
  actorId,
  sessionId = NULL,
  extractionConfig = NULL,
  metadata = NULL,
  clientToken = NULL
)

Arguments

memoryId	[required] The identifier of the AgentCore Memory resource to ingest content into.
source	[required] The content to ingest. Only inline content is supported.
contentTimestamp	[required] The timestamp of when the content occurred.
actorId	[required] The identifier of the actor associated with this content. An actor represents an entity that participates in sessions and generates content.
sessionId	The identifier of the session that the content belongs to. If not provided, a session identifier is generated and returned in the response.
extractionConfig	The extraction configuration for long-term memory records. Use this parameter to specify namespace variable keys and their values for namespace substitution during extraction.
metadata	The key-value metadata to attach to the content.
clientToken	A unique, case-sensitive identifier to ensure that the operation completes no more than one time. If this token matches a previous request, AgentCore ignores the request, but does not return an error.

paws.machine.learning documentation built on Oct. 8, 2026, 9:06 a.m.