From 73647da57e8383a8f99196c7a70ff7b0bca51afc Mon Sep 17 00:00:00 2001 From: Anthony Bernabeu <64135631+brnaba-aws@users.noreply.github.com> Date: Mon, 2 Dec 2024 14:29:57 +0100 Subject: [PATCH 1/6] added bedrock flows support with a BedrockFlowsAgent in Python --- .../agents/bedrock_flows_agent.py | 117 ++++++++++++++++++ 1 file changed, 117 insertions(+) create mode 100644 python/src/multi_agent_orchestrator/agents/bedrock_flows_agent.py diff --git a/python/src/multi_agent_orchestrator/agents/bedrock_flows_agent.py b/python/src/multi_agent_orchestrator/agents/bedrock_flows_agent.py new file mode 100644 index 00000000..8215b415 --- /dev/null +++ b/python/src/multi_agent_orchestrator/agents/bedrock_flows_agent.py @@ -0,0 +1,117 @@ +from typing import List, Dict, Any, Optional, Callable +from dataclasses import dataclass +import os +import json +import boto3 +from multi_agent_orchestrator.utils import (Logger, conversation_to_dict) +from multi_agent_orchestrator.agents import (Agent, AgentOptions) +from multi_agent_orchestrator.types import (ConversationMessage, ParticipantRole) + +# BedrockFlowsAgentOptions Dataclass +@dataclass +class BedrockFlowsAgentOptions(AgentOptions): + flowIdentifier: str = None + flowAliasIdentifier: str = None + bedrock_agent_client: Optional[Any] = None + enableTrace: Optional[bool] = False + flow_input_encoder: Optional[Callable] = None + flow_output_decoder: Optional[Callable] = None + + +# BedrockFlowsAgent Class +class BedrockFlowsAgent(Agent): + + def __init__(self, options: BedrockFlowsAgentOptions): + super().__init__(options) + + # Initialize bedrock agent client + if options.bedrock_agent_client: + self.bedrock_agent_client = options.bedrock_agent_client + else: + if options.region: + self.bedrock_agent_client = boto3.client( + 'bedrock-agent-runtime', + region_name=options.region or os.environ.get('AWS_REGION') + ) + else: + self.bedrock_agent_client = boto3.client('bedrock-agent-runtime') + + self.enableTrace = options.enableTrace + self.flowAliasIdentifier = options.flowAliasIdentifier + self.flowIdentifier = options.flowIdentifier + + if options.flow_input_encoder is None: + self.flow_input_encoder = self.__default_flow_input_encoder + else: + self.flow_input_encoder = options.flow_input_encoder + + if options.flow_output_decoder is None: + self.flow_output_decoder = self.__default_flow_output_decoder + else: + self.flow_output_decoder = options.flow_output_decoder + + def __default_flow_input_encoder(self, + input_text: str, + **kwargs + ) -> Any: + """Encode Flow Input payload as a string.""" + return [ + { + 'content': { + 'document': input_text + }, + 'nodeName': 'FlowInputNode', + 'nodeOutputName': 'document' + } + ] + + def __default_flow_output_decoder(self, response: Any, **kwargs) -> ConversationMessage: + """Decode Flow output as a string and create ConversationMessage.""" + decoded_response = response + return ConversationMessage( + role=ParticipantRole.ASSISTANT.value, + content=[{'text': str(decoded_response)}] + ) + + async def process_request( + self, + input_text: str, + user_id: str, + session_id: str, + chat_history: List[ConversationMessage], + additional_params: Optional[Dict[str, str]] = None + ) -> ConversationMessage: + try: + response = self.bedrock_agent_client.invoke_flow( + flowIdentifier=self.flowIdentifier, + flowAliasIdentifier=self.flowAliasIdentifier, + inputs=[ + { + 'content': { + 'document': self.flow_input_encoder(self, input_text, chat_history=chat_history, user_id=user_id, session_id=session_id, additional_params=additional_params) + }, + 'nodeName': 'FlowInputNode', + 'nodeOutputName': 'document' + } + ], + enableTrace=self.enableTrace + ) + + if 'responseStream' not in response: + raise ValueError("No output received from Bedrock model") + + eventstream = response.get('responseStream') + final_response = None + for event in eventstream: + Logger.info(event) if self.enableTrace else None + if 'flowOutputEvent' in event: + final_response = event['flowOutputEvent']['content']['document'] + + bedrock_response = self.flow_output_decoder(self, final_response) + + return bedrock_response + + except Exception as error: + Logger.error(f"Error processing request with Bedrock: {str(error)}") + raise error + From 71e45eba1a1182c3353ecdbd7b2d15fbbd8175fb Mon Sep 17 00:00:00 2001 From: Anthony Bernabeu <64135631+brnaba-aws@users.noreply.github.com> Date: Mon, 2 Dec 2024 15:43:27 +0100 Subject: [PATCH 2/6] Added support for Bedrock Flows --- examples/bedrock-flows/python/main.py | 87 +++++++++++ examples/bedrock-flows/typescript/main.ts | 144 ++++++++++++++++++ .../agents/__init__.py | 5 +- typescript/src/agents/bedrockFlowsAgent.ts | 119 +++++++++++++++ typescript/src/index.ts | 1 + 5 files changed, 355 insertions(+), 1 deletion(-) create mode 100644 examples/bedrock-flows/python/main.py create mode 100644 examples/bedrock-flows/typescript/main.ts create mode 100644 typescript/src/agents/bedrockFlowsAgent.ts diff --git a/examples/bedrock-flows/python/main.py b/examples/bedrock-flows/python/main.py new file mode 100644 index 00000000..65d5c2db --- /dev/null +++ b/examples/bedrock-flows/python/main.py @@ -0,0 +1,87 @@ +import asyncio +import uuid +import sys +from typing import Any, List +from multi_agent_orchestrator.orchestrator import MultiAgentOrchestrator, OrchestratorConfig +from multi_agent_orchestrator.classifiers import ClassifierResult +from multi_agent_orchestrator.agents import AgentResponse, Agent, BedrockFlowsAgent, BedrockFlowsAgentOptions +from multi_agent_orchestrator.types import ConversationMessage, ParticipantRole + +async def handle_request(_orchestrator: MultiAgentOrchestrator,agent:Agent, _user_input:str, _user_id:str, _session_id:str): + classifier_result = ClassifierResult(selected_agent=agent, confidence=1.0) + response:AgentResponse = await _orchestrator.agent_process_request( + _user_input, + _user_id, + _session_id, + classifier_result) + + print(response.output.content[0].get('text')) + + +def flow_input_encoder(agent:Agent, input: str, **kwargs) -> Any: + global flow_tech_agent + if agent == flow_tech_agent: + chat_history:List[ConversationMessage] = kwargs.get('chat_history', []) + + chat_history_string = '\n'.join(f"{message.role}:{message.content[0].get('text')}" for message in chat_history) + + return { + "question": input, + "history":chat_history_string + } + else: + return input + +def flow_output_decode(agent:Agent, response: Any, **kwargs) -> Any: + global flow_tech_agent + if agent == flow_tech_agent: + return ConversationMessage( + role=ParticipantRole.ASSISTANT.value, + content=[{'text': response}] + ) + else: + return ConversationMessage( + role=ParticipantRole.ASSISTANT.value, + content=[{'text': response}] + ) + +if __name__ == "__main__": + + # Initialize the orchestrator with some options + orchestrator = MultiAgentOrchestrator(options=OrchestratorConfig( + LOG_AGENT_CHAT=True, + LOG_CLASSIFIER_CHAT=True, + LOG_CLASSIFIER_RAW_OUTPUT=True, + LOG_CLASSIFIER_OUTPUT=True, + LOG_EXECUTION_TIMES=True, + MAX_RETRIES=3, + USE_DEFAULT_AGENT_IF_NONE_IDENTIFIED=False, + MAX_MESSAGE_PAIRS_PER_AGENT=10 + )) + + flow_tech_agent = BedrockFlowsAgent(BedrockFlowsAgentOptions( + name="tech-agent", + description="Specializes in handling tech questions about AWS services", + flowIdentifier='BEDROCK-FLOW-ID', + flowAliasIdentifier='BEDROCK-FLOW-ALIAS-ID', + enableTrace=False, + flow_input_encoder=flow_input_encoder, + flow_output_decoder=flow_output_decode + )) + orchestrator.add_agent(flow_tech_agent) + + USER_ID = "user123" + SESSION_ID = str(uuid.uuid4()) + + print("Welcome to the interactive Multi-Agent system. Type 'quit' to exit.") + + while True: + # Get user input + user_input = input("\nYou: ").strip() + + if user_input.lower() == 'quit': + print("Exiting the program. Goodbye!") + sys.exit() + + # Run the async function + asyncio.run(handle_request(orchestrator, flow_tech_agent, user_input, USER_ID, SESSION_ID)) \ No newline at end of file diff --git a/examples/bedrock-flows/typescript/main.ts b/examples/bedrock-flows/typescript/main.ts new file mode 100644 index 00000000..58659647 --- /dev/null +++ b/examples/bedrock-flows/typescript/main.ts @@ -0,0 +1,144 @@ +import readline from "readline"; +import { + MultiAgentOrchestrator, + Logger, + BedrockFlowsAgent, + Agent, +} from "multi-agent-orchestrator"; + + +const flowInputEncoder = ( + agent: Agent, + input: string, + kwargs: { + userId?: string, + sessionId?: string, + chatHistory?: any[], + [key: string]: any // This allows any additional properties + } +) => { + const chat_history_string = kwargs.chatHistory?.map((message: { role: string; content: { text?: string }[] }) => + `${message.role}:${message.content[0]?.text || ''}` + ) + .join('\n'); + + if (agent == flowTechAgent){ + return { + "question":input, + "history":chat_history_string + }; + } else { + return input + } +} + +const flowTechAgent = new BedrockFlowsAgent({ + name: "Tech Agent", + description: + "Specializes in technology areas including software development, hardware, AI, cybersecurity, blockchain, cloud computing, emerging tech innovations, and pricing/costs related to technology products and services.", + flowIdentifier:'BEDROCK-FLOW-ID', + flowAliasIdentifier:'BEDROCK-FLOW-ALIAS-ID', + flowInputEncoder: flowInputEncoder + }); + +function createOrchestrator(): MultiAgentOrchestrator { + const orchestrator = new MultiAgentOrchestrator({ + config: { + LOG_AGENT_CHAT: true, + LOG_EXECUTION_TIMES: true, + MAX_MESSAGE_PAIRS_PER_AGENT: 10, + }, + logger: console, + }); + + // Add a Tech Agent to the orchestrator + orchestrator.addAgent( + flowTechAgent + ); + + return orchestrator; +} + +const uuidv4 = () => { + return "xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx".replace(/[xy]/g, function (c) { + var r = (Math.random() * 16) | 0, + v = c == "x" ? r : (r & 0x3) | 0x8; + return v.toString(16); + }); +}; + +// Function to run local conversation +async function runLocalConversation(): Promise { + const orchestrator = createOrchestrator(); + // Generate random uuid 4 + + const userId = uuidv4(); + const sessionId = uuidv4(); + + const allAgents = orchestrator.getAllAgents(); + Logger.logger.log("Here are the existing agents:"); + for (const agentKey in allAgents) { + const agent = allAgents[agentKey]; + Logger.logger.log(`Name: ${agent.name}`); + Logger.logger.log(`Description: ${agent.description}`); + Logger.logger.log("--------------------"); + } + + orchestrator.analyzeAgentOverlap(); + + const rl = readline.createInterface({ + input: process.stdin, + output: process.stdout, + }); + + Logger.logger.log( + "Welcome to the interactive AI agent. Type your queries and press Enter. Type 'exit' to end the conversation." + ); + + const askQuestion = (): void => { + rl.question("You: ", async (userInput: string) => { + if (userInput.toLowerCase() === "exit") { + Logger.logger.log("Thank you for using the AI agent. Goodbye!"); + rl.close(); + return; + } + + try { + + const response = await orchestrator.agentProcessRequest( + userInput, + userId, + sessionId, + { + selectedAgent:flowTechAgent, + confidence:1.0 + } + ); + + // Handle non-streaming response (AgentProcessingResult) + Logger.logger.log("\n** RESPONSE ** \n"); + Logger.logger.log(`> Agent ID: ${response.metadata.agentId}`); + Logger.logger.log(`> Agent Name: ${response.metadata.agentName}`); + Logger.logger.log(`> User Input: ${response.metadata.userInput}`); + Logger.logger.log(`> User ID: ${response.metadata.userId}`); + Logger.logger.log(`> Session ID: ${response.metadata.sessionId}`); + Logger.logger.log( + `> Additional Parameters:`, + response.metadata.additionalParams + ); + Logger.logger.log(`\n> Response: ${response.output}`); + } catch (error) { + Logger.logger.error("Error:", error); + } + askQuestion(); // Continue the conversation + }); + }; + + askQuestion(); // Start the conversation +} + +// Check if this script is being run directly (not imported as a module) +if (require.main === module) { + // This block will only run when the script is executed locally + runLocalConversation(); +} diff --git a/python/src/multi_agent_orchestrator/agents/__init__.py b/python/src/multi_agent_orchestrator/agents/__init__.py index 975cde56..0d198032 100644 --- a/python/src/multi_agent_orchestrator/agents/__init__.py +++ b/python/src/multi_agent_orchestrator/agents/__init__.py @@ -10,6 +10,7 @@ from .chain_agent import ChainAgent, ChainAgentOptions from .bedrock_translator_agent import BedrockTranslatorAgent, BedrockTranslatorAgentOptions from .bedrock_inline_agent import BedrockInlineAgent, BedrockInlineAgentOptions +from .bedrock_flows_agent import BedrockFlowsAgent, BedrockFlowsAgentOptions try: from .anthropic_agent import AnthropicAgent, AnthropicAgentOptions @@ -39,7 +40,9 @@ 'ChainAgent', 'ChainAgentOptions', 'BedrockInlineAgent', - 'BedrockInlineAgentOptions' + 'BedrockInlineAgentOptions', + 'BedrockFlowsAgent', + 'BedrockFlowsAgentOptions' ] if _ANTHROPIC_AVAILABLE: diff --git a/typescript/src/agents/bedrockFlowsAgent.ts b/typescript/src/agents/bedrockFlowsAgent.ts new file mode 100644 index 00000000..e5676853 --- /dev/null +++ b/typescript/src/agents/bedrockFlowsAgent.ts @@ -0,0 +1,119 @@ +import { BedrockAgentRuntimeClient, InvokeFlowCommand } from "@aws-sdk/client-bedrock-agent-runtime"; +import { Agent, AgentOptions } from "./agent"; +import { + ConversationMessage, + ParticipantRole +} from "../types"; + + export interface BedrockFlowsAgentOptions extends AgentOptions { + flowIdentifier: string; + flowAliasIdentifier: string; + bedrockAgentClient?: BedrockAgentRuntimeClient; + enableTrace?: boolean; + flowInputEncoder?: (agent: Agent, inputText: string, ...kwargs: any) => any; + flowOutputDecoder?: (agent: Agent, response: any) => any; + } + + export class BedrockFlowsAgent extends Agent { + + /** Protected class members */ + protected flowIdentifier: string; + protected flowAliasIdentifier: string; + protected bedrockAgentClient: BedrockAgentRuntimeClient; + protected enableTrace: boolean; + private flowInputEncoder: (agent: Agent, inputText: string, params: any) => any; // Accepts any additional properties + private flowOutputDecoder: (agent: Agent, response: any) => ConversationMessage; + + constructor(options: BedrockFlowsAgentOptions) { + super(options); + + this.bedrockAgentClient = options.bedrockAgentClient ?? ( + options.region + ? new BedrockAgentRuntimeClient({ region: options.region }) + : new BedrockAgentRuntimeClient() + ); + + this.flowIdentifier = options.flowIdentifier; + this.flowAliasIdentifier = options.flowAliasIdentifier; + this.enableTrace = options.enableTrace ?? false; + if (options.flowInputEncoder) { + this.flowInputEncoder = options.flowInputEncoder; + } else { + this.flowInputEncoder = this.defaultFlowInputEncoder; + } + + if (options.flowOutputDecoder){ + this.flowOutputDecoder = options.flowOutputDecoder; + } else { + this.flowOutputDecoder = this.defaultFlowOutputDecoder; + } + } + + defaultFlowInputEncoder(agent: Agent, inputText: string, ..._kwargs: any): any { + return inputText + } + + defaultFlowOutputDecoder(agent: Agent, response: any): ConversationMessage { + return { + role: ParticipantRole.ASSISTANT, + content: [{ text: response }], + }; + } + + async processRequest( + inputText: string, + userId: string, + sessionId: string, + chatHistory: ConversationMessage[], + additionalParams?: Record + ): Promise { + + try { + // Prepare the command to invoke Bedrock Flows + const invokeFlowCommand = new InvokeFlowCommand({ + flowIdentifier:this.flowIdentifier, + flowAliasIdentifier:this.flowAliasIdentifier, + inputs: [ + { + 'content': { + 'document': this.flowInputEncoder(this, inputText, {userId:userId, sessionId:sessionId, chatHistory:chatHistory, ...additionalParams}) + }, + 'nodeName': 'FlowInputNode', + 'nodeOutputName': 'document' + } + ], + enableTrace: this.enableTrace + }); + + let completion; + // Call Bedrock's Invoke Flow API + const response = await this.bedrockAgentClient.send(invokeFlowCommand); + + if (!response.responseStream) { + throw new Error("No output received from Bedrock Llows"); + } + + // Aggregate chunks of response data + for await (const flowEvent of response.responseStream) { + if (flowEvent.flowOutputEvent) { + completion = flowEvent.flowOutputEvent.content.document; + } else if (this.enableTrace) { + // Log chunk event details if tracing is enabled + this.logger ? this.logger.info("Flow Event Details:", JSON.stringify(flowEvent, null, 2)) : undefined; + } + } + + // Return the completed response as a Message object + return this.flowOutputDecoder(this, completion); + + } catch (error: unknown) { // Explicitly type error as unknown + // Handle error with proper type checking + const errorMessage = error instanceof Error + ? error.message + : 'Unknown error occurred'; + + this.logger ? this.logger.error("Error processing request with Bedrock:", errorMessage) : undefined; + throw new Error(`Error processing request with Bedrock: ${errorMessage}`); + } + } +} \ No newline at end of file diff --git a/typescript/src/index.ts b/typescript/src/index.ts index 81265ddd..6684f6fb 100644 --- a/typescript/src/index.ts +++ b/typescript/src/index.ts @@ -7,6 +7,7 @@ export { AnthropicAgent, AnthropicAgentOptions, AnthropicAgentOptionsWithAuth } export { Agent, AgentOptions } from './agents/agent'; export { Classifier, ClassifierResult } from './classifiers/classifier'; export { ChainAgent, ChainAgentOptions } from './agents/chainAgent'; +export {BedrockFlowsAgent, BedrockFlowsAgentOptions} from './agents/bedrockFlowsAgent'; export { AgentResponse } from './agents/agent'; From 891ceca3f6ae2b6d1e367d87102201107b562fb1 Mon Sep 17 00:00:00 2001 From: Anthony Bernabeu <64135631+brnaba-aws@users.noreply.github.com> Date: Mon, 2 Dec 2024 16:21:44 +0100 Subject: [PATCH 3/6] added documentation for BedrockFlowsAgent --- docs/astro.config.mjs | 3 +- .../agents/built-in/bedrock-flows-agent.mdx | 133 ++++++++++++++++++ 2 files changed, 135 insertions(+), 1 deletion(-) create mode 100644 docs/src/content/docs/agents/built-in/bedrock-flows-agent.mdx diff --git a/docs/astro.config.mjs b/docs/astro.config.mjs index 9b4b600c..973f4c49 100644 --- a/docs/astro.config.mjs +++ b/docs/astro.config.mjs @@ -70,7 +70,8 @@ export default defineConfig({ { label: 'Chain Agent', link: '/agents/built-in/chain-agent' }, { label: 'Comprehend Filter Agent', link: '/agents/built-in/comprehend-filter-agent' }, { label: 'Amazon Bedrock Translator Agent', link: '/agents/built-in/bedrock-translator-agent' }, - { label: 'Amazon Bedrock Inline Agent', link: '/agents/built-in/bedrock-inline-agent' } + { label: 'Amazon Bedrock Inline Agent', link: '/agents/built-in/bedrock-inline-agent' }, + { label: 'Bedrock Flows Agent', link: '/agents/built-in/bedrock-flows-agent' }, ] }, { label: 'Custom Agents', link: '/agents/custom-agents' }, diff --git a/docs/src/content/docs/agents/built-in/bedrock-flows-agent.mdx b/docs/src/content/docs/agents/built-in/bedrock-flows-agent.mdx new file mode 100644 index 00000000..b5ac8442 --- /dev/null +++ b/docs/src/content/docs/agents/built-in/bedrock-flows-agent.mdx @@ -0,0 +1,133 @@ +--- +title: Amazon Bedrock Flows Agent +description: Documentation for the BedrockFlowsAgent in the Multi-Agent Orchestrator +--- + +## Overview + +The **Bedrock Flows Agent** is a specialized agent class in the Multi-Agent Orchestrator that integrates directly with [Amazon Bedrock Flows](https://aws.amazon.com/bedrock/flows/). +This integration enables you to orchestrate your Bedrock Flows alongside other agent types (Bedrock Agent, Lex, Bedrock API...), providing a unified and flexible approach to agents orchestration. + +## Key Features + +- Support for cross-region Bedrock Flows invocation +- Support for multiple flow input output type via flow input/output encoder/decoder callbacks + +## Creating a BedrockFlowsAgent + +### Basic Example + +import { Tabs, TabItem } from '@astrojs/starlight/components'; + + + + ```typescript + import { BedrockFlowsAgent } from 'multi-agent-orchestrator'; + + const techFlowAgent = new BedrockFlowsAgent({ + name: 'tech-flow-agent', + description: 'Specialized in AWS services', + flowIdentifier: 'AEXAMPLID', + flowAliasIdentifier: 'AEXAMPLEALIASID', + enableTrace:true + }); + ``` + + + ```python + from multi_agent_orchestrator.agents import BedrockFlowsAgent, BedrockFlowsAgentOptions + + tech_flow_agent = BedrockFlowsAgent(BedrockFlowsAgentOptions( + name="tech-flow-agent", + description="Specializes in handling tech questions about AWS services", + flowIdentifier='AEXAMPLID', + flowAliasIdentifier='AEXAMPLEALIASID', + enableTrace=True + )) + ``` + + + +### Flow Input Encoder callback + +Amazon [Bedrock Flows Input](https://docs.aws.amazon.com/bedrock/latest/userguide/flows-nodes.html) supports multiple type of document output: +- String +- Number +- Boolean +- Object +- Array + +In the default definition of the BedrockFlowsAgent, the output document type is a string. +If you need to send an object, array, number or a boolean to your Flow input, you can use the flow input callback to transform the input payload based on your needs. + +Here are an example for TS and python: + + + + ```typescript + +// implementation of the custom flowInputEncoder callback +const flowInputEncoder = ( + agent: Agent, + input: string, + kwargs: { + userId?: string, + sessionId?: string, + chatHistory?: any[], + [key: string]: any // This allows any additional properties + } +) => { + if (agent.name == 'tech-flow-agent'){ + return { + "question":input, + }; + } else { + return input + } +} + +// passing flowInputEncoder to our BedrockFlowsAgent +const techFlowAgent = new BedrockFlowsAgent({ + name: 'tech-flow-agent', + description: 'Specialized in AWS services', + flowIdentifier: 'AEXAMPLID', + flowAliasIdentifier: 'AEXAMPLEALIASID', + flowInputEncoder: flowInputEncoder + enableTrace:true + }); + + + ``` + + + ```python + # implementation of the custom flowInputEncoder callback + def flow_input_encoder(agent:Agent, input: str, **kwargs) -> Any: + if agent.name == 'tech-flow-agent': + # return a dict + return { + "question": input + } + else: + return input #input as string + + # passing flowInputEncoder to our BedrockFlowsAgent + tech_flow_agent = BedrockFlowsAgent(BedrockFlowsAgentOptions( + name="tech-flow-agent", + description="Specializes in handling tech questions about AWS services", + flowIdentifier='AEXAMPLID', + flowAliasIdentifier='AEXAMPLEALIASID', + flow_input_encoder=flow_input_encoder, + enableTrace=True + )) + ``` + + + +## Sample Code + +You can find sample code for using the BedrockFlowsAgent in both TypeScript and Python: + +- [TypeScript Sample](https://github.com/awslabs/multi-agent-orchestrator/tree/main/examples/bedrock-flows/typescript) +- [Python Sample](https://github.com/awslabs/multi-agent-orchestrator/tree/main/examples/bedrock-flows/python) + From aaad507226f9ce66f11787356683b38bf444cf64 Mon Sep 17 00:00:00 2001 From: Anthony Bernabeu <64135631+brnaba-aws@users.noreply.github.com> Date: Mon, 2 Dec 2024 16:52:11 +0100 Subject: [PATCH 4/6] added readme.md for bedrock-flows --- examples/bedrock-flows/prompt-config.png | Bin 0 -> 140721 bytes examples/bedrock-flows/readme.md | 27 +++++++++++++++++++++ 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+## BedrockFlowsAgent examples +This example, in Python and Typescript, show how to integrate your Bedrock Flows into the multi-agent orchestrator. +This is the flow we used for our testing. + +### tech-agent-flow + +In this flow we connected an input node to a prompt node and the output of the prompt is connec to an output node. + + +![tech-agent-flow](./tech-agent-flow.png) + + +The prompt node has 2 inputs: +- question (current question) +- history (previous conversation) + +![prompt-node-configuration](./prompt-config.png) + +Note: as of 2nd of December, 2024, Bedrock Flows does not offer a memory feature that would allow for a flow to keep track of previous interaction with it. + +In this example, we show you how to not only integrate your flow into the multi-agent orchestrator, but also, how to integrate your flow converation history into a flow for greater user experience and better results. + + + + + + diff --git a/examples/bedrock-flows/tech-agent-flow.png 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++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/examples/bedrock-flows/readme.md b/examples/bedrock-flows/readme.md index 6ee9fc32..cb29a569 100644 --- a/examples/bedrock-flows/readme.md +++ b/examples/bedrock-flows/readme.md @@ -16,12 +16,14 @@ The prompt node has 2 inputs: ![prompt-node-configuration](./prompt-config.png) -Note: as of 2nd of December, 2024, Bedrock Flows does not offer a memory feature that would allow for a flow to keep track of previous interaction with it. - -In this example, we show you how to not only integrate your flow into the multi-agent orchestrator, but also, how to integrate your flow converation history into a flow for greater user experience and better results. - +📝 Note +📅 As of December 2, 2024, Bedrock Flows does not include a memory feature to retain previous interactions. +In this example, we demonstrate: +- 1️⃣ How to integrate your flow into a multi-agent orchestrator. +- 2️⃣ How to incorporate conversation history into your flow to provide a smoother user experience and generate more accurate results. +🚀 Let's get started! From 6cbf1b57471d760927d7d9fb338d181110a7b256 Mon Sep 17 00:00:00 2001 From: Anthony Bernabeu <64135631+brnaba-aws@users.noreply.github.com> Date: Mon, 2 Dec 2024 17:01:01 +0100 Subject: [PATCH 6/6] fixed typo --- examples/bedrock-flows/readme.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/examples/bedrock-flows/readme.md b/examples/bedrock-flows/readme.md index cb29a569..726ba907 100644 --- a/examples/bedrock-flows/readme.md +++ b/examples/bedrock-flows/readme.md @@ -1,10 +1,11 @@ -## BedrockFlowsAgent examples +## BedrockFlowsAgent example This example, in Python and Typescript, show how to integrate your Bedrock Flows into the multi-agent orchestrator. + This is the flow we used for our testing. ### tech-agent-flow -In this flow we connected an input node to a prompt node and the output of the prompt is connec to an output node. +In this flow we connected an input node to a prompt node and the output of the prompt is connected to an output node. ![tech-agent-flow](./tech-agent-flow.png)