There are more AWS SDK examples available in the [AWS Doc SDK Examples](https://github.com/awsdocs/aws-doc-sdk-examples) GitHub repo.

# Basic examples for Amazon Bedrock Agents Runtime using AWS SDKs
<a name="bedrock-agent-runtime_code_examples_basics"></a>

The following code examples show how to use the basics of Amazon Bedrock Agents Runtime with AWS SDKs. 

**Contents**
+ [Learn the basics](bedrock-agent-runtime_example_bedrock-agent-runtime_Scenario_ConverseWithFlow_section.md)
+ [Actions](bedrock-agent-runtime_code_examples_actions.md)
  + [`InvokeAgent`](bedrock-agent-runtime_example_bedrock-agent-runtime_InvokeAgent_section.md)
  + [`InvokeFlow`](bedrock-agent-runtime_example_bedrock-agent-runtime_InvokeFlow_section.md)

# Converse with an Amazon Bedrock flow
<a name="bedrock-agent-runtime_example_bedrock-agent-runtime_Scenario_ConverseWithFlow_section"></a>

The following code example shows how to use InvokeFlow to converse with an Amazon Bedrock flow that includes an agent node.

For more information, see [Converse with an Amazon Bedrock flow](https://docs.aws.amazon.com/bedrock/latest/userguide/flows-multi-turn-invocation.html).

------
#### [ Python ]

**SDK for Python (Boto3)**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/bedrock-agent-runtime#code-examples). 

```
"""
Shows how to run an Amazon Bedrock flow with InvokeFlow and handle muli-turn interaction
for a single conversation.
For more information, see https://docs.aws.amazon.com/bedrock/latest/userguide/flows-multi-turn-invocation.html.

"""
import logging
import boto3
import botocore

import botocore.exceptions

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)


def invoke_flow(client, flow_id, flow_alias_id, input_data, execution_id):
    """
    Invoke an Amazon Bedrock flow and handle the response stream.

    Args:
        client: Boto3 client for Amazon Bedrock agent runtime.
        flow_id: The ID of the flow to invoke.
        flow_alias_id: The alias ID of the flow.
        input_data: Input data for the flow.
        execution_id: Execution ID for continuing a flow. Use the value None on first run.

    Returns:
        Dict containing flow_complete status, input_required info, and execution_id
    """

    response = None
    request_params = None

    if execution_id is None:
        # Don't pass execution ID for first run.
        request_params = {
            "flowIdentifier": flow_id,
            "flowAliasIdentifier": flow_alias_id,
            "inputs": [input_data],
            "enableTrace": True
        }
    else:
        request_params = {
            "flowIdentifier": flow_id,
            "flowAliasIdentifier": flow_alias_id,
            "executionId": execution_id,
            "inputs": [input_data],
            "enableTrace": True
        }

    response = client.invoke_flow(**request_params)

    if "executionId" not in request_params:
        execution_id = response['executionId']

    input_required = None
    flow_status = ""

    # Process the streaming response
    for event in response['responseStream']:

        # Check if flow is complete.
        if 'flowCompletionEvent' in event:
            flow_status = event['flowCompletionEvent']['completionReason']

        # Check if more input us needed from user.
        elif 'flowMultiTurnInputRequestEvent' in event:
            input_required = event

        # Print the model output.
        elif 'flowOutputEvent' in event:
            print(event['flowOutputEvent']['content']['document'])

        # Log trace events.
        elif 'flowTraceEvent' in event:
            logger.info("Flow trace:  %s", event['flowTraceEvent'])

    return {
        "flow_status": flow_status,
        "input_required": input_required,
        "execution_id": execution_id
    }


def converse_with_flow(bedrock_agent_client, flow_id, flow_alias_id):
    """
    Run a conversation with the supplied flow.

    Args:
        bedrock_agent_client: Boto3 client for Amazon Bedrock agent runtime.
        flow_id: The ID of the flow to run.
        flow_alias_id: The alias ID of the flow.

    """

    flow_execution_id = None
    finished = False

    # Get the intial prompt from the user.
    user_input = input("Enter input: ")

    # Use prompt to create input data.
    flow_input_data = {
        "content": {
            "document": user_input
        },
        "nodeName": "FlowInputNode",
        "nodeOutputName": "document"
    }

    try:
        while not finished:
            # Invoke the flow until successfully finished.

            result = invoke_flow(
                bedrock_agent_client, flow_id, flow_alias_id, flow_input_data, flow_execution_id)

            status = result['flow_status']
            flow_execution_id = result['execution_id']
            more_input = result['input_required']
            if status == "INPUT_REQUIRED":
                # The flow needs more information from the user.
                logger.info("The flow %s requires more input", flow_id)
                user_input = input(
                    more_input['flowMultiTurnInputRequestEvent']['content']['document'] + ": ")
                flow_input_data = {
                    "content": {
                        "document": user_input
                    },
                    "nodeName": more_input['flowMultiTurnInputRequestEvent']['nodeName'],
                    "nodeInputName": "agentInputText"

                }
            elif status == "SUCCESS":
                # The flow completed successfully.
                finished = True
                logger.info("The flow %s successfully completed.", flow_id)

    except botocore.exceptions.ClientError as e:
        print(f"Client error: {str(e)}")
        logger.error("Client error: %s", {str(e)})

    except Exception as e:
        print(f"An error occurred: {str(e)}")
        logger.error("An error occurred: %s", {str(e)})
        logger.error("Error type: %s", {type(e)})


def main():
    """
    Main entry point for the script.
    """

    # Replace these with your actual flow ID and flow alias ID.
    FLOW_ID = 'YOUR_FLOW_ID'
    FLOW_ALIAS_ID = 'YOUR_FLOW_ALIAS_ID'

    logger.info("Starting conversation with FLOW: %s ID: %s",
                FLOW_ID, FLOW_ALIAS_ID)

    # Get the Bedrock agent runtime client.
    session = boto3.Session(profile_name='default')
    bedrock_agent_client = session.client('bedrock-agent-runtime')

    # Start the conversation.
    converse_with_flow(bedrock_agent_client, FLOW_ID, FLOW_ALIAS_ID)

    logger.info("Conversation with FLOW: %s ID: %s finished",
                FLOW_ID, FLOW_ALIAS_ID)


if __name__ == "__main__":
    main()
```
+  For API details, see [InvokeFlow](https://docs.aws.amazon.com/goto/boto3/bedrock-agent-runtime-2023-12-12/InvokeFlow) in *AWS SDK for Python (Boto3) API Reference*. 

------

# Actions for Amazon Bedrock Agents Runtime using AWS SDKs
<a name="bedrock-agent-runtime_code_examples_actions"></a>

The following code examples demonstrate how to perform individual Amazon Bedrock Agents Runtime actions with AWS SDKs. Each example includes a link to GitHub, where you can find instructions for setting up and running the code. 

These excerpts call the Amazon Bedrock Agents Runtime API and are code excerpts from larger programs that must be run in context. You can see actions in context in [Scenarios for Amazon Bedrock Agents Runtime using AWS SDKs](bedrock-agent-runtime_code_examples_scenarios.md). 

 The following examples include only the most commonly used actions. For a complete list, see the [Amazon Bedrock Agents Runtime API Reference](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_Operations_Agents_for_Amazon_Bedrock_Runtime.html). 

**Topics**
+ [`InvokeAgent`](bedrock-agent-runtime_example_bedrock-agent-runtime_InvokeAgent_section.md)
+ [`InvokeFlow`](bedrock-agent-runtime_example_bedrock-agent-runtime_InvokeFlow_section.md)

# Use `InvokeAgent` with an AWS SDK
<a name="bedrock-agent-runtime_example_bedrock-agent-runtime_InvokeAgent_section"></a>

The following code examples show how to use `InvokeAgent`.

------
#### [ JavaScript ]

**SDK for JavaScript (v3)**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-agent-runtime#code-examples). 

```
import {
  BedrockAgentRuntimeClient,
  InvokeAgentCommand,
} from "@aws-sdk/client-bedrock-agent-runtime";

/**
 * @typedef {Object} ResponseBody
 * @property {string} completion
 */

/**
 * Invokes a Bedrock agent to run an inference using the input
 * provided in the request body.
 *
 * @param {string} prompt - The prompt that you want the Agent to complete.
 * @param {string} sessionId - An arbitrary identifier for the session.
 */
export const invokeBedrockAgent = async (prompt, sessionId) => {
  const client = new BedrockAgentRuntimeClient({ region: "us-east-1" });
  // const client = new BedrockAgentRuntimeClient({
  //   region: "us-east-1",
  //   credentials: {
  //     accessKeyId: "accessKeyId", // permission to invoke agent
  //     secretAccessKey: "accessKeySecret",
  //   },
  // });

  const agentId = "AJBHXXILZN";
  const agentAliasId = "AVKP1ITZAA";

  const command = new InvokeAgentCommand({
    agentId,
    agentAliasId,
    sessionId,
    inputText: prompt,
  });

  try {
    let completion = "";
    const response = await client.send(command);

    if (response.completion === undefined) {
      throw new Error("Completion is undefined");
    }

    for await (const chunkEvent of response.completion) {
      const chunk = chunkEvent.chunk;
      console.log(chunk);
      const decodedResponse = new TextDecoder("utf-8").decode(chunk.bytes);
      completion += decodedResponse;
    }

    return { sessionId: sessionId, completion };
  } catch (err) {
    console.error(err);
  }
};

// Call function if run directly
import { fileURLToPath } from "node:url";
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const result = await invokeBedrockAgent("I need help.", "123");
  console.log(result);
}
```
+  For API details, see [InvokeAgent](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-agent-runtime/command/InvokeAgentCommand) in *AWS SDK for JavaScript API Reference*. 

------
#### [ Python ]

**SDK for Python (Boto3)**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/bedrock-agent-runtime#code-examples). 
Invoke an agent.  

```
    def invoke_agent(self, agent_id, agent_alias_id, session_id, prompt):
        """
        Sends a prompt for the agent to process and respond to.

        :param agent_id: The unique identifier of the agent to use.
        :param agent_alias_id: The alias of the agent to use.
        :param session_id: The unique identifier of the session. Use the same value across requests
                           to continue the same conversation.
        :param prompt: The prompt that you want Claude to complete.
        :return: Inference response from the model.
        """

        try:
            # Note: The execution time depends on the foundation model, complexity of the agent,
            # and the length of the prompt. In some cases, it can take up to a minute or more to
            # generate a response.
            response = self.agents_runtime_client.invoke_agent(
                agentId=agent_id,
                agentAliasId=agent_alias_id,
                sessionId=session_id,
                inputText=prompt,
            )

            completion = ""

            for event in response.get("completion"):
                chunk = event["chunk"]
                completion = completion + chunk["bytes"].decode()

        except ClientError as e:
            logger.error(f"Couldn't invoke agent. {e}")
            raise

        return completion
```
+  For API details, see [InvokeAgent](https://docs.aws.amazon.com/goto/boto3/bedrock-agent-runtime-2023-12-12/InvokeAgent) in *AWS SDK for Python (Boto3) API Reference*. 

------
#### [ Rust ]

**SDK for Rust**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/bedrock-agent-runtime#code-examples). 

```
use aws_config::{BehaviorVersion, SdkConfig};
use aws_sdk_bedrockagentruntime::{
    self as bedrockagentruntime,
    types::{error::ResponseStreamError, ResponseStream},
};
#[allow(unused_imports)]
use mockall::automock;

const BEDROCK_AGENT_ID: &str = "AJBHXXILZN";
const BEDROCK_AGENT_ALIAS_ID: &str = "AVKP1ITZAA";
const BEDROCK_AGENT_REGION: &str = "us-east-1";

#[cfg(not(test))]
pub use EventReceiverImpl as EventReceiver;
#[cfg(test)]
pub use MockEventReceiverImpl as EventReceiver;

pub struct EventReceiverImpl {
    inner: aws_sdk_bedrockagentruntime::primitives::event_stream::EventReceiver<
        ResponseStream,
        ResponseStreamError,
    >,
}

#[cfg_attr(test, automock)]
impl EventReceiverImpl {
    #[allow(dead_code)]
    pub fn new(
        inner: aws_sdk_bedrockagentruntime::primitives::event_stream::EventReceiver<
            ResponseStream,
            ResponseStreamError,
        >,
    ) -> Self {
        Self { inner }
    }

    pub async fn recv(
        &mut self,
    ) -> Result<
        Option<ResponseStream>,
        aws_sdk_bedrockagentruntime::error::SdkError<
            ResponseStreamError,
            aws_smithy_types::event_stream::RawMessage,
        >,
    > {
        self.inner.recv().await
    }
}

#[tokio::main]
async fn main() -> Result<(), Box<bedrockagentruntime::Error>> {
    let result = invoke_bedrock_agent("I need help.".to_string(), "123".to_string()).await?;
    println!("{}", result);
    Ok(())
}

async fn invoke_bedrock_agent(
    prompt: String,
    session_id: String,
) -> Result<String, bedrockagentruntime::Error> {
    let sdk_config: SdkConfig = aws_config::defaults(BehaviorVersion::latest())
        .region(BEDROCK_AGENT_REGION)
        .load()
        .await;
    let bedrock_client = bedrockagentruntime::Client::new(&sdk_config);

    let command_builder = bedrock_client
        .invoke_agent()
        .agent_id(BEDROCK_AGENT_ID)
        .agent_alias_id(BEDROCK_AGENT_ALIAS_ID)
        .session_id(session_id)
        .input_text(prompt);

    let response = command_builder.send().await?;

    let response_stream = response.completion;

    let event_receiver = EventReceiver::new(response_stream);

    process_agent_response_stream(event_receiver).await
}

async fn process_agent_response_stream(
    mut event_receiver: EventReceiver,
) -> Result<String, bedrockagentruntime::Error> {
    let mut full_agent_text_response = String::new();

    while let Some(event_result) = event_receiver.recv().await? {
        match event_result {
            ResponseStream::Chunk(chunk) => {
                if let Some(bytes) = chunk.bytes {
                    match String::from_utf8(bytes.into_inner()) {
                        Ok(text_chunk) => {
                            full_agent_text_response.push_str(&text_chunk);
                        }
                        Err(e) => {
                            eprintln!("UTF-8 decoding error for chunk: {}", e);
                        }
                    }
                }
            }
            _ => {
                panic!("received an unhandled event type from Bedrock stream",);
            }
        }
    }
    Ok(full_agent_text_response)
}

#[cfg(test)]
mod test {

    use super::*;

    #[tokio::test]
    async fn test_process_agent_response_stream() {
        let mut mock = MockEventReceiverImpl::default();
        mock.expect_recv().times(1).returning(|| {
            Ok(Some(
                aws_sdk_bedrockagentruntime::types::ResponseStream::Chunk(
                    aws_sdk_bedrockagentruntime::types::PayloadPart::builder()
                        .set_bytes(Some(aws_smithy_types::Blob::new(vec![
                            116, 101, 115, 116, 32, 99, 111, 109, 112, 108, 101, 116, 105, 111, 110,
                        ])))
                        .build(),
                ),
            ))
        });

        // end the stream
        mock.expect_recv().times(1).returning(|| Ok(None));

        let response = process_agent_response_stream(mock).await.unwrap();

        assert_eq!("test completion", response);
    }

    #[tokio::test]
    #[should_panic(expected = "received an unhandled event type from Bedrock stream")]
    async fn test_process_agent_response_stream_error() {
        let mut mock = MockEventReceiverImpl::default();
        mock.expect_recv().times(1).returning(|| {
            Ok(Some(
                aws_sdk_bedrockagentruntime::types::ResponseStream::Trace(
                    aws_sdk_bedrockagentruntime::types::TracePart::builder().build(),
                ),
            ))
        });

        let _ = process_agent_response_stream(mock).await.unwrap();
    }
}
```
+  For API details, see [InvokeAgent](https://docs.rs/aws-sdk-bedrockagentruntime/latest/aws_sdk_bedrockagentruntime/client/struct.Client.html#method.invoke_agent) in *AWS SDK for Rust API reference*. 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/bdz#code-examples). 

```
    DATA(lo_result) = lo_bdz->invokeagent(
      iv_agentid      = iv_agentid
        iv_agentaliasid = iv_agentaliasid
        iv_enabletrace  = abap_true
        iv_sessionid    = CONV #( cl_system_uuid=>create_uuid_c26_static( ) )
        iv_inputtext    = |Let's play "rock, paper, scissors".  I choose rock.| ).
    DATA(lo_stream) = lo_result->get_completion( ).
    TRY.
        " loop while there are still events in the stream
        WHILE lo_stream->/aws1/if_rt_stream_reader~data_available( ) = abap_true.
          DATA(lo_evt) = lo_stream->read( ).
          " each /AWS1/CL_BDZRESPONSESTREAM_EV event contains exactly one member
          " all others are INITIAL.  For each event, process the non-initial
          " member if desired
          IF lo_evt->get_chunk( ) IS NOT INITIAL.
            " Process a Chunk event
            DATA(lv_xstr) = lo_evt->get_chunk( )->get_bytes( ).
            DATA(lv_answer) = /aws1/cl_rt_util=>xstring_to_string( lv_xstr ).
            " the answer says something like "I chose paper, so you lost"
          ELSEIF lo_evt->get_files( ) IS NOT INITIAL.
            " process a Files event if desired
          ELSEIF lo_evt->get_returncontrol( ) IS NOT INITIAL.
            " process a ReturnControl event if desired
          ELSEIF lo_evt->get_trace( ) IS NOT INITIAL.
            " process a Trace event if desired
          ENDIF.
        ENDWHILE.
        " the stream of events can possibly contain an exception
        " which will be raised to break the loop
        " catch /AWS1/CX_BDZACCESSDENIEDEX.
        " catch /AWS1/CX_BDZINTERNALSERVEREX.
        " catch /AWS1/CX_BDZMODELNOTREADYEX.
        " catch /AWS1/CX_BDZVALIDATIONEX.
        " catch /AWS1/CX_BDZTHROTTLINGEX.
        " catch /AWS1/CX_BDZDEPENDENCYFAILEDEX.
        " catch /AWS1/CX_BDZBADGATEWAYEX.
        " catch /AWS1/CX_BDZRESOURCENOTFOUNDEX.
        " catch /AWS1/CX_BDZSERVICEQUOTAEXCDEX.
        " catch /AWS1/CX_BDZCONFLICTEXCEPTION.
    ENDTRY.
```
+  For API details, see [InvokeAgent](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html) in *AWS SDK for SAP ABAP API reference*. 

------

# Use `InvokeFlow` with an AWS SDK
<a name="bedrock-agent-runtime_example_bedrock-agent-runtime_InvokeFlow_section"></a>

The following code examples show how to use `InvokeFlow`.

Action examples are code excerpts from larger programs and must be run in context. You can see this action in context in the following code examples: 
+  [Learn the basics](bedrock-agent-runtime_example_bedrock-agent-runtime_Scenario_ConverseWithFlow_section.md) 
+  [Create and invoke a flow](bedrock-agent-runtime_example_bedrock-agent_GettingStartedWithBedrockFlows_section.md) 

------
#### [ JavaScript ]

**SDK for JavaScript (v3)**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-agent-runtime#code-examples). 

```
import { fileURLToPath } from "node:url";

import {
  BedrockAgentRuntimeClient,
  InvokeFlowCommand,
} from "@aws-sdk/client-bedrock-agent-runtime";

/**
 * Invokes an alias of a flow to run the inputs that you specify and return
 * the output of each node as a stream.
 *
 * @param {{
 *  flowIdentifier: string,
 *  flowAliasIdentifier: string,
 *  prompt?: string,
 *  region?: string
 * }} options
 * @returns {Promise<import("@aws-sdk/client-bedrock-agent").FlowNodeOutput>} An object containing information about the output from flow invocation.
 */
export const invokeBedrockFlow = async ({
  flowIdentifier,
  flowAliasIdentifier,
  prompt = "Hi, how are you?",
  region = "us-east-1",
}) => {
  const client = new BedrockAgentRuntimeClient({ region });

  const command = new InvokeFlowCommand({
    flowIdentifier,
    flowAliasIdentifier,
    inputs: [
      {
        content: {
          document: prompt,
        },
        nodeName: "FlowInputNode",
        nodeOutputName: "document",
      },
    ],
  });

  let flowResponse = {};
  const response = await client.send(command);

  for await (const chunkEvent of response.responseStream) {
    const { flowOutputEvent, flowCompletionEvent } = chunkEvent;

    if (flowOutputEvent) {
      flowResponse = { ...flowResponse, ...flowOutputEvent };
      console.log("Flow output event:", flowOutputEvent);
    } else if (flowCompletionEvent) {
      flowResponse = { ...flowResponse, ...flowCompletionEvent };
      console.log("Flow completion event:", flowCompletionEvent);
    }
  }

  return flowResponse;
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    flowIdentifier: {
      type: "string",
      required: true,
    },
    flowAliasIdentifier: {
      type: "string",
      required: true,
    },
    prompt: {
      type: "string",
    },
    region: {
      type: "string",
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    invokeBedrockFlow(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
+  For API details, see [InvokeFlow](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-agent-runtime/command/InvokeFlowCommand) in *AWS SDK for JavaScript API Reference*. 

------
#### [ Python ]

**SDK for Python (Boto3)**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/bedrock-agent-runtime#code-examples). 
Invoke a flow.  

```
    def invoke_flow(self, flow_id, flow_alias_id, input_data, execution_id):
        """
        Invoke an Amazon Bedrock flow and handle the response stream.

        Args:
            param flow_id: The ID of the flow to invoke.
            param flow_alias_id: The alias ID of the flow.
            param input_data: Input data for the flow.
            param execution_id: Execution ID for continuing a flow. Use the value None on first run.

        Return: Response from the flow.
        """
        try:
      
            request_params = None

            if execution_id is None:
                # Don't pass execution ID for first run.
                request_params = {
                    "flowIdentifier": flow_id,
                    "flowAliasIdentifier": flow_alias_id,
                    "inputs": input_data,
                    "enableTrace": True
                }
            else:
                request_params = {
                    "flowIdentifier": flow_id,
                    "flowAliasIdentifier": flow_alias_id,
                    "executionId": execution_id,
                    "inputs": input_data,
                    "enableTrace": True
                }

            response = self.agents_runtime_client.invoke_flow(**request_params)

            if "executionId" not in request_params:
                execution_id = response['executionId']

            result = ""

            # Get the streaming response
            for event in response['responseStream']:
                result = result + str(event) + '\n'
            print(result)

        except ClientError as e:
            logger.error("Couldn't invoke flow %s.", {e})
            raise

        return result
```
+  For API details, see [InvokeFlow](https://docs.aws.amazon.com/goto/boto3/bedrock-agent-runtime-2023-12-12/InvokeFlow) in *AWS SDK for Python (Boto3) API Reference*. 

------