Merge pull request #313 from awslabs/rename-repo

rename repository

Author: cornelcroi

.github/ISSUE_TEMPLATE/feature_request.yml

@@ -1,12 +1,12 @@
 name: Feature request
-description: Suggest an idea for Multi Agent Orchestrator
+description: Suggest an idea for Agent Squad
 title: "Feature request: TITLE"
 labels: ["feature-request", "triage"]
 body:
   - type: markdown
     attributes:
       value: |
-        Thank you for taking the time to suggest an idea to the Multi Agent Orchestrator project.
+        Thank you for taking the time to suggest an idea to the Agent Squad project.
 
         *Future readers*: Please react with 👍 and your use case to help us understand customer demand.
   - type: textarea
@@ -31,4 +31,3 @@ body:
       render: markdown
     validations:
       required: false
-  

README.md

@@ -4,13 +4,13 @@ import starlight from '@astrojs/starlight';
 // https://astro.build/config
 export default defineConfig({
 	site: process.env.ASTRO_SITE,
-	base: '/multi-agent-orchestrator',
+	base: '/agent-squad',
 	markdown: {
 		gfm: true
   },
 	integrations: [
 		starlight({
-			title: 'Multi-Agent Orchestrator',
+			title: 'Agent Squad',
 			description: 'Flexible and powerful framework for managing multiple AI agents and handling complex conversations 🤖🚀',
 			defaultLocale: 'en',
 			favicon: '/src/assets/favicon.ico',
@@ -21,7 +21,7 @@ export default defineConfig({
 				'./src/styles/terminal.css'
 			],
 			social: {
-				github: 'https://github.com/awslabs/multi-agent-orchestrator'
+				github: 'https://github.com/awslabs/agent-squad'
 			},
 			sidebar: [
 				{

docs/astro.config.mjs

@@ -1,6 +1,6 @@
 {
-  "name": "@multi-agent-orchestrator/docs",
-  "description": "The official documentation for Multi Agent Orchestration",
+  "name": "@agent-squad/docs",
+  "description": "The official documentation for Agent Squad",
   "type": "module",
   "version": "0.7.0",
   "private": true,
@@ -19,7 +19,7 @@
   },
   "repository": {
     "type": "git",
-    "url": "git://github.com/awslabs/multi-agent-orchestrator"
+    "url": "git://github.com/awslabs/agent-squad"
   },
   "license": "Apache-2.0",
   "dependencies": {

docs/package-lock.json

@@ -1,9 +1,9 @@
 ---
 title: AmazonBedrockAgent
-description: Documentation for the AmazonBedrockAgent in the Multi-Agent Orchestrator
+description: Documentation for the AmazonBedrockAgent in the Agent Squad
 ---
 
-The `AmazonBedrockAgent` is a specialized agent class in the Multi-Agent Orchestrator that integrates directly with [Amazon Bedrock agents](https://aws.amazon.com/bedrock/agents/?nc1=h_ls).
+The `AmazonBedrockAgent` is a specialized agent class in the Agent Squad that integrates directly with [Amazon Bedrock agents](https://aws.amazon.com/bedrock/agents/?nc1=h_ls).
 
 ## Creating an AmazonBedrockAgent
 
@@ -14,7 +14,7 @@ Here are various examples showing different ways to create and configure an Amaz
 If you haven't already installed the AWS-related dependencies, make sure to install them:
 
 ```bash
-pip install "multi-agent-orchestrator[aws]"
+pip install "agent-squad[aws]"
 ```
 
 ### Basic Examples
@@ -144,7 +144,7 @@ agent = AmazonBedrockAgent(AmazonBedrockAgentOptions(
 <Tabs syncKey="runtime">
   <TabItem label="TypeScript" icon="seti:typescript" color="blue">
 ```typescript
-import { AmazonBedrockAgent } from "multi-agent-orchestrator";
+import { AmazonBedrockAgent } from "agent-squad";
 import { BedrockAgentRuntimeClient } from "@aws-sdk/client-bedrock-agent-runtime";
 const agent = new AmazonBedrockAgent({
   // Required fields
@@ -164,7 +164,7 @@ const agent = new AmazonBedrockAgent({
   <TabItem label="Python" icon="seti:python">
 ```python
 import boto3
-from multi_agent_orchestrator.agents import AmazonBedrockAgent, AmazonBedrockAgentOptions
+from agent_squad.agents import AmazonBedrockAgent, AmazonBedrockAgentOptions
 
 custom_client = boto3.client('bedrock-agent-runtime', region_name='us-west-2')
 
@@ -174,7 +174,7 @@ agent = AmazonBedrockAgent(AmazonBedrockAgentOptions(
     description='A fully configured banking agent with all features enabled',
     agent_id='your-agent-id',
     agent_alias_id='your-agent-alias-id',
-    
+
     # Optional fields
     region='us-west-2',
     streaming=True,
@@ -201,23 +201,23 @@ agent = AmazonBedrockAgent(AmazonBedrockAgentOptions(
 
 ## Adding the Agent to the Orchestrator
 
-To integrate the AmazonBedrockAgent into your Multi-Agent Orchestrator, follow these steps:
+To integrate the AmazonBedrockAgent into your Agent Squad, follow these steps:
 
 1. First, ensure you have created an instance of the orchestrator:
 
 <Tabs syncKey="runtime">
   <TabItem label="TypeScript" icon="seti:typescript" color="blue">
     ```typescript
-    import { MultiAgentOrchestrator } from "multi-agent-orchestrator";
+    import { AgentSquad } from "agent-squad";
 
-    const orchestrator = new MultiAgentOrchestrator();
+    const orchestrator = new AgentSquad();
     ```
   </TabItem>
   <TabItem label="Python" icon="seti:python">
     ```python
-    from multi_agent_orchestrator.orchestrator import MultiAgentOrchestrator
+    from agent_squad.orchestrator import AgentSquad
 
-    orchestrator = MultiAgentOrchestrator()
+    orchestrator = AgentSquad()
     ```
   </TabItem>
 </Tabs>
@@ -263,4 +263,4 @@ To integrate the AmazonBedrockAgent into your Multi-Agent Orchestrator, follow t
 
 ---
 
-By leveraging the `AmazonBedrockAgent`, you can easily integrate **pre-built Amazon Bedrock agents** into your Multi-Agent Orchestrator.
+By leveraging the `AmazonBedrockAgent`, you can easily integrate **pre-built Amazon Bedrock agents** into your Agent Squad.

docs/package.json

@@ -1,10 +1,10 @@
 ---
 title: Anthropic Agent
-description: Documentation for the AnthropicAgent in the Multi-Agent Orchestrator
+description: Documentation for the AnthropicAgent in the Agent Squad
 ---
 ## Overview
 
-The `AnthropicAgent` is a powerful and flexible agent class in the Multi-Agent Orchestrator System.
+The `AnthropicAgent` is a powerful and flexible agent class in the Agent Squad System.
 It leverages the [Anthropic API](https://docs.anthropic.com/en/api/getting-started) to interact with various Large Language Models (LLMs) provided by Anthropic, such as Claude.
 This agent can handle a wide range of processing tasks, making it suitable for diverse applications such as conversational AI, question-answering systems, and more.
 
@@ -27,7 +27,7 @@ Here are various examples showing different ways to create and configure an Anth
 If you haven't already installed the Anthropic-related dependencies, make sure to install them:
 
 ```bash
-pip install "multi-agent-orchestrator[anthropic]"
+pip install "agent-squad[anthropic]"
 ```
 
 ### Basic Examples
@@ -344,7 +344,7 @@ agent = AnthropicAgent(AnthropicAgentOptions(
 <Tabs syncKey="runtime">
   <TabItem label="TypeScript" icon="seti:typescript" color="blue">
 ```typescript
-import { AnthropicAgent } from 'multi-agent-orchestrator';
+import { AnthropicAgent } from 'agent-squad';
 
 const agent = new AnthropicAgent({
   // Required fields
@@ -426,8 +426,8 @@ const agent = new AnthropicAgent({
 
 ```python
 
-from multi_agent_orchestrator import AnthropicAgent, AnthropicAgentOptions
-from multi_agent_orchestrator.types import ParticipantRole
+from agent_squad import AnthropicAgent, AnthropicAgentOptions
+from agent_squad.types import ParticipantRole
 agent = AnthropicAgent(AnthropicAgentOptions(
 # Required fields
 name='Advanced Anthropic Assistant',
@@ -512,7 +512,7 @@ custom_system_prompt={
 - `streaming`: Enables streaming responses for real-time output.
 - `inferenceConfig`: Fine-tunes the model's output characteristics.
 - `retriever`: Integrates a retrieval system for enhanced context.
-- `toolConfig`: Defines tools the agent can use and how to handle their responses ([See AgentTools for Agents for seamless tool definition](/multi-agent-orchestrator/agents/tools))
+- `toolConfig`: Defines tools the agent can use and how to handle their responses ([See AgentTools for Agents for seamless tool definition](/agent-squad/agents/tools))
 
 ## Setting a New Prompt
 
@@ -560,16 +560,16 @@ To integrate the **Anthropic Agent** into your orchestrator, follow these steps:
 <Tabs syncKey="runtime">
   <TabItem label="TypeScript" icon="seti:typescript" color="blue">
     ```typescript
-    import { MultiAgentOrchestrator } from "multi-agent-orchestrator";
+    import { AgentSquad } from "agent-squad";
 
-    const orchestrator = new MultiAgentOrchestrator();
+    const orchestrator = new AgentSquad();
     ```
   </TabItem>
   <TabItem label="Python" icon="seti:python">
     ```python
-    from multi_agent_orchestrator.orchestrator import MultiAgentOrchestrator
+    from agent_squad.orchestrator import AgentSquad
 
-    orchestrator = MultiAgentOrchestrator()
+    orchestrator = AgentSquad()
     ```
   </TabItem>
 </Tabs>

docs/src/content/docs/agents/built-in/amazon-bedrock-agent.mdx

@@ -1,11 +1,11 @@
 ---
 title: Amazon Bedrock Flows Agent
-description: Documentation for the BedrockFlowsAgent in the Multi-Agent Orchestrator
+description: Documentation for the BedrockFlowsAgent in the Agent Squad
 ---
 
 ## 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/).
+The **Bedrock Flows Agent** is a specialized agent class in the Agent Squad 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
@@ -20,7 +20,7 @@ This integration enables you to orchestrate your Bedrock Flows alongside other a
 If you haven't already installed the AWS-related dependencies, make sure to install them:
 
 ```bash
-pip install "multi-agent-orchestrator[aws]"
+pip install "agent-squad[aws]"
 ```
 
 ### Basic Example
@@ -30,7 +30,7 @@ import { Tabs, TabItem } from '@astrojs/starlight/components';
 <Tabs syncKey="runtime">
   <TabItem label="TypeScript" icon="seti:typescript" color="blue">
     ```typescript
-    import { BedrockFlowsAgent } from 'multi-agent-orchestrator';
+    import { BedrockFlowsAgent } from 'agent-squad';
 
     const techFlowAgent = new BedrockFlowsAgent({
       name: 'tech-flow-agent',
@@ -43,7 +43,7 @@ import { Tabs, TabItem } from '@astrojs/starlight/components';
   </TabItem>
   <TabItem label="Python" icon="seti:python">
     ```python
-    from multi_agent_orchestrator.agents import BedrockFlowsAgent, BedrockFlowsAgentOptions
+    from agent_squad.agents import BedrockFlowsAgent, BedrockFlowsAgentOptions
 
     tech_flow_agent = BedrockFlowsAgent(BedrockFlowsAgentOptions(
         name="tech-flow-agent",
@@ -136,6 +136,6 @@ const techFlowAgent = new BedrockFlowsAgent({
 
 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)
+- [TypeScript Sample](https://github.com/awslabs/agent-squad/tree/main/examples/bedrock-flows/typescript)
+- [Python Sample](https://github.com/awslabs/agent-squad/tree/main/examples/bedrock-flows/python)
 

docs/src/content/docs/agents/built-in/anthropic-agent.mdx

@@ -1,6 +1,6 @@
 ---
 title: Bedrock Inline Agent
-description: Documentation for the BedrockInlineAgent in the Multi-Agent Orchestrator
+description: Documentation for the BedrockInlineAgent in the Agent Squad
 ---
 
 ## Overview
@@ -27,17 +27,17 @@ This architecture removes practical limits on the number of action groups and kn
 If you haven't already installed the AWS-related dependencies, make sure to install them:
 
 ```bash
-pip install "multi-agent-orchestrator[aws]"
+pip install "agent-squad[aws]"
 ```
 
-### Basic Example 
+### Basic Example
 
 import { Tabs, TabItem } from '@astrojs/starlight/components';
 
 <Tabs syncKey="runtime">
   <TabItem label="TypeScript" icon="seti:typescript" color="blue">
     ```typescript
-    import { BedrockInlineAgent } from 'multi-agent-orchestrator';
+    import { BedrockInlineAgent } from 'agent-squad';
     import { CustomLogger } from './logger';
 
     const actionGroups = [
@@ -75,7 +75,7 @@ import { Tabs, TabItem } from '@astrojs/starlight/components';
   </TabItem>
   <TabItem label="Python" icon="seti:python">
     ```python
-    from multi_agent_orchestrator.agents import BedrockInlineAgent, BedrockInlineAgentOptions
+    from agent_squad.agents import BedrockInlineAgent, BedrockInlineAgentOptions
     from custom_logger import CustomLogger
 
     action_groups = [
@@ -120,14 +120,14 @@ import { Tabs, TabItem } from '@astrojs/starlight/components';
 When enabled, this flag activates detailed debug logging that helps you understand the agent's operation. Example output:
 
 ```text
-> BedrockInlineAgent 
-> Inline Agent Creator for Agents for Amazon Bedrock 
-> System Prompt 
+> BedrockInlineAgent
+> Inline Agent Creator for Agents for Amazon Bedrock
+> System Prompt
 > You are a Inline Agent Creator for Agents for Amazon Bedrock...
 
-> BedrockInlineAgent 
-> Inline Agent Creator for Agents for Amazon Bedrock 
-> Tool Handler Parameters 
+> BedrockInlineAgent
+> Inline Agent Creator for Agents for Amazon Bedrock
+> Tool Handler Parameters
 > {
   userRequest: 'Please execute...',
   actionGroupNames: ['CodeInterpreterAction'],
@@ -136,9 +136,9 @@ When enabled, this flag activates detailed debug logging that helps you understa
   sessionId: 'session-456'
 }
 
-> BedrockInlineAgent 
-> Inline Agent Creator for Agents for Amazon Bedrock 
-> Action Group & Knowledge Base 
+> BedrockInlineAgent
+> Inline Agent Creator for Agents for Amazon Bedrock
+> Action Group & Knowledge Base
 > {
   actionGroups: [
     {
@@ -229,8 +229,8 @@ You can provide your own logger implementation to customize log formatting and h
 
 You can find sample code for using the BedrockInlineAgent in both TypeScript and Python:
 
-- [TypeScript Sample](https://github.com/awslabs/multi-agent-orchestrator/tree/main/examples/bedrock-inline-agents/typescript)
-- [Python Sample](https://github.com/awslabs/multi-agent-orchestrator/tree/main/examples/bedrock-inline-agents/python)
+- [TypeScript Sample](https://github.com/awslabs/agent-squad/tree/main/examples/bedrock-inline-agents/typescript)
+- [Python Sample](https://github.com/awslabs/agent-squad/tree/main/examples/bedrock-inline-agents/python)
 
 
 The BedrockInlineAgent represents a significant advancement in agent flexibility and efficiency, enabling truly dynamic, context-aware responses while optimizing resource usage.