Question

A developer is building a customer-support chatbot on a Node.js backend using the Amazon Bedrock Converse API with Anthropic Claude. Each browser session is independent, and the backend is a stateless Lambda function behind API Gateway. During testing, the model loses awareness of earlier turns in the same conversation—it cannot reference details the user mentioned two messages ago. The developer confirmed the model itself supports multi-turn context. What is the correct way to preserve conversational context across turns?

Accepted Answer

Persist the full ordered list of user and assistant turns externally (e.g., DynamoDB keyed by session ID) and pass the complete messages array on every Converse request.

Answer

Enable the Bedrock Agents memory feature on the Converse API call so the service automatically retains session history.

Answer

Increase the maxTokens inference parameter so the model has enough room to remember previous turns.

Answer

Set a sessionId field in the Converse API request so Bedrock correlates and stores the prior messages server-side.