Question

A developer is building a customer-support assistant using Amazon Bedrock's Converse API with an Anthropic Claude model. The assistant must call an internal inventory microservice when a user asks about product availability. The developer defines a tool specification with an input schema and passes it in the toolConfig. During testing, the model returns a response, but the application must know when the model wants to invoke the inventory tool versus when it is producing a final answer. How should the application determine that the model is requesting a tool invocation?

Accepted Answer

Inspect the response's stopReason field for the value 'tool_use' and read the toolUse block (with toolUseId, name, and input) from the returned content.

Answer

Parse the assistant's text output for a JSON code block and manually extract the function name and arguments using a regular expression.

Answer

Enable Bedrock Guardrails on the request so that any tool call is automatically routed to the configured Lambda function before returning.

Answer

Configure a Bedrock Agent action group, since the Converse API cannot signal tool-use intent on its own.