Fix formatting of 'Microsoft Agent365' to 'Microsoft Agent 365'

nodejs/claude/sample-agent/README.md

@@ -4,7 +4,7 @@ This directory contains a sample agent implementation using Node.js and Claude A
 
 ## Demonstrates
 
-This sample demonstrates how to build an agent using the Agent365 framework with Node.js and Claude Agent SDK.
+This sample demonstrates how to build an agent using the Microsoft Agent 365 SDK with Node.js and Claude Agent SDK.
 
 ## Prerequisites
 

nodejs/langchain/quickstart-before/README.md

@@ -4,8 +4,8 @@ This directory contains a quickstart agent implementation using Node.js and Lang
 
 ## Demonstrates
 
-This sample is used to demonstrate how to build an agent using the Agent365 framework with Node.js and LangChain. The sample includes basic LangChain Agent SDK usage hosted with Agents SDK that is testable on [agentsplayground](https://learn.microsoft.com/en-us/microsoft-365/agents-sdk/test-with-toolkit-project?tabs=windows).
-Please refer to this [quickstart guide](https://review.learn.microsoft.com/en-us/microsoft-agent-365/developer/quickstart-nodejs-langchain?branch=main) on how to extend your agent using Agent365 SDK.
+This sample is used to demonstrate how to build an agent using the Microsoft Agent 365 SDK with Node.js and LangChain. The sample includes basic LangChain Agent SDK usage hosted with Agents SDK that is testable on [agentsplayground](https://learn.microsoft.com/en-us/microsoft-365/agents-sdk/test-with-toolkit-project?tabs=windows).
+Please refer to this [quickstart guide](https://review.learn.microsoft.com/en-us/microsoft-agent-365/developer/quickstart-nodejs-langchain?branch=main) on how to extend your agent using Microsoft Agent 365 SDK.
 
 ## Prerequisites
 
@@ -69,4 +69,4 @@ For detailed information about this sample, please refer to:
 
 ## 📄 License
 
-This project is licensed under the MIT License - see the [LICENSE](../../../LICENSE.md) file for details.
+This project is licensed under the MIT License - see the [LICENSE](../../../LICENSE.md) file for details.

nodejs/langchain/quickstart-before/src/client.ts

@@ -9,7 +9,7 @@ export interface Client {
 }
 
 /**
- * Creates and configures a LangChain client with Agent365 MCP tools.
+ * Creates and configures a LangChain client with Agent 365 MCP tools.
  *
  * This factory function initializes a LangChain React agent with access to
  * Microsoft 365 tools through MCP (Model Context Protocol) servers. It handles
@@ -86,4 +86,4 @@ class LangChainClient implements Client {
 
     return agentMessage;
   }
-}
+}

nodejs/langchain/sample-agent/README.md

@@ -4,7 +4,7 @@ This directory contains a sample agent implementation using Node.js and LangChai
 
 ## Demonstrates
 
-This sample demonstrates how to build an agent using the Agent365 framework with Node.js and LangChain.
+This sample demonstrates how to build an agent using the Microsoft Agent 365 SDK with Node.js and LangChain.
 
 ## Prerequisites
 

nodejs/langchain/sample-agent/package.json

@@ -1,7 +1,7 @@
 {
   "name": "langchain-sample",
   "version": "2025.11.6",
-  "description": "Sample agent integrating LangChain Agents with Microsoft 365 Agents SDK and Agent365 SDK",
+  "description": "Sample agent integrating LangChain Agents with Microsoft 365 Agents SDK and Microsoft Agent 365 SDK",
   "main": "src/index.ts",
   "scripts": {
     "preinstall": "node preinstall-local-packages.js",

nodejs/langchain/sample-agent/src/client.ts

@@ -37,13 +37,13 @@ const agent = createAgent({
 });
 
 /**
- * Creates and configures a LangChain client with Agent365 MCP tools.
+ * Creates and configures a LangChain client with Agent 365 MCP tools.
  *
  * This factory function initializes a LangChain React agent with access to
  * Microsoft 365 tools through MCP (Model Context Protocol) servers. It handles
  * tool discovery, authentication, and agent configuration.
  *
- * @param authorization - Agent365 authorization context for token acquisition
+ * @param authorization - Agent 365 authorization context for token acquisition
  * @param turnContext - Bot Framework turn context for the current conversation
  * @returns Promise<Client> - Configured LangChain client ready for agent interactions
  *

nodejs/openai/sample-agent/README.md

@@ -4,7 +4,7 @@ This directory contains a sample agent implementation using Node.js and OpenAI.
 
 ## Demonstrates
 
-This sample demonstrates how to build an agent using the Agent365 framework with Node.js and OpenAI.
+This sample demonstrates how to build an agent using the Microsoft Agent 365 SDK with Node.js and OpenAI.
 
 ## Prerequisites
 
@@ -72,4 +72,4 @@ For detailed information about this sample, please refer to:
 
 ## 📄 License
 
-This project is licensed under the MIT License - see the [LICENSE](../../../LICENSE.md) file for details.
+This project is licensed under the MIT License - see the [LICENSE](../../../LICENSE.md) file for details.

nodejs/perplexity/sample-agent/.env.template

@@ -2,7 +2,7 @@
 PERPLEXITY_API_KEY=your_perplexity_api_key_here
 PERPLEXITY_MODEL=sonar
 
-# Agent365 Configuration
+# Agent 365 Configuration
 AGENT_ID=perplexity-agent
 PORT=3978
 

nodejs/perplexity/sample-agent/src/perplexityClient.ts

@@ -81,7 +81,7 @@ export class PerplexityClient {
   }
 
   /**
-   * Wrapper for invokeAgent that adds tracing and span management using Agent365 SDK.
+   * Wrapper for invokeAgent that adds tracing and span management using Microsoft Agent 365 SDK.
    */
   async invokeAgentWithScope(prompt: string): Promise<string> {
     const invokeAgentDetails: InvokeAgentDetails = {

nodejs/vercel-sdk/sample-agent/README.md

@@ -4,7 +4,7 @@ This directory contains a sample agent implementation using Node.js and Vercel A
 
 ## Demonstrates
 
-This sample demonstrates how to build an agent using the Agent365 framework with Node.js and Vercel AI SDK.
+This sample demonstrates how to build an agent using the Microsoft Agent 365 SDK with Node.js and Vercel AI SDK.
 
 ## Prerequisites
 

nodejs/vercel-sdk/sample-agent/package.json

@@ -1,7 +1,7 @@
 {
   "name": "vercel-sdk-sample",
   "version": "2025.11.6",
-  "description": "Sample agent integrating Vercel AI SDK Agents with Microsoft 365 Agents SDK and Agent365 SDK",
+  "description": "Sample agent integrating Vercel AI SDK Agents with Microsoft 365 Agents SDK and Microsoft Agent 365 SDK",
   "main": "src/index.ts",
   "scripts": {
     "preinstall": "node preinstall-local-packages.js",

prompts/Cursor IDE Prompt.md

@@ -1,10 +1,10 @@
 # Cursor IDE Prompt Guide
 
 ## 1. Introduction
-This guide explains how to use Cursor IDE to create a Microsoft Agent365 agent by providing a natural language prompt. For illustration, we use **TypeScript with Claude as the orchestrator** and an **email management use case**, but the same approach works for other languages, orchestrators, and scenarios (calendar management, document search, etc.).
+This guide explains how to use Cursor IDE to create a Microsoft Agent 365 agent by providing a natural language prompt. For illustration, we use **TypeScript with Claude as the orchestrator** and an **email management use case**, but the same approach works for other languages, orchestrators, and scenarios (calendar management, document search, etc.).
 
 You will:
-- Attach key GitHub README URLs that describe the Microsoft Agent365 SDK and your chosen orchestrator (Claude, OpenAI, etc.).
+- Attach key GitHub README URLs that describe the Microsoft Agent 365 SDK and your chosen orchestrator (Claude, OpenAI, etc.).
 - Send one concise prompt to Cursor so it scaffolds the project for you.
 - Know where to look for the generated README files and next steps.
 

python/agent-framework/sample-agent/.env.template

@@ -21,7 +21,7 @@ AGENTIC_AUTH_SCOPE=
 
 AGENT_ID=
 
-# Agent365 Agentic Authentication Configuration
+# Agent 365 Agentic Authentication Configuration
 CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTID=
 CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET=
 CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID=
@@ -50,4 +50,4 @@ PYTHON_ENVIRONMENT=development
 
 # Enable otel logs on AgentFramework SDK. Required for auto instrumentation
 ENABLE_OTEL=true
-ENABLE_SENSITIVE_DATA=true
+ENABLE_SENSITIVE_DATA=true

python/agent-framework/sample-agent/README.md

@@ -1,10 +1,10 @@
 # Sample Agent - Python AgentFramework
 
-This directory contains a sample agent implementation using Python and Microsoft's AgentFramework SDK.
+This directory contains a sample agent implementation using Python and Microsoft's Agent Framework SDK.
 
 ## Demonstrates
 
-This sample demonstrates how to build an agent using the Agent365 framework with Python and AgentFramework SDK, including:
+This sample demonstrates how to build an agent using the Microsoft Agent 365 SDK with Python and Agent Framework SDK, including:
 - Azure OpenAI integration with AgentFramework
 - MCP (Model Context Protocol) tool integration
 - Microsoft Agent 365 observability and tracing
@@ -26,9 +26,8 @@ For detailed information about this sample, please refer to:
 
 ## 📚 Related Documentation
 
-- [AgentFramework SDK Documentation](https://github.com/microsoft/Agent365)
-- [Microsoft Agent 365 Tooling](https://github.com/microsoft/Agent365/tree/main/python)
-- [Model Context Protocol (MCP)](https://github.com/microsoft/Agent365/tree/main/python/libraries/microsoft-agents-a365-tooling)
+- [Agent Framework SDK](https://github.com/microsoft/agent-framework)
+- [Microsoft Agent 365 SDK for Python](https://github.com/microsoft/Agent365-python)
 
 ## 🤝 Contributing
 
@@ -39,4 +38,4 @@ For detailed information about this sample, please refer to:
 
 ## 📄 License
 
-This project is licensed under the MIT License - see the [LICENSE](https://github.com/microsoft/Agent365/blob/main/LICENSE.md) file for details.
+This project is licensed under the MIT License - see the [LICENSE](../../LICENSE.md) file for details.

python/agent-framework/sample-agent/agent.py

@@ -79,7 +79,7 @@ def __init__(self):
         """Initialize the AgentFramework agent."""
         self.logger = logging.getLogger(self.__class__.__name__)
 
-        # Initialize auto instrumentation with Agent365 observability SDK
+        # Initialize auto instrumentation with Agent 365 Observability SDK
         self._enable_agentframework_instrumentation()
 
         # Initialize authentication options

python/agent-framework/sample-agent/pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "sample-agentframework-agent"
 version = "0.1.0"
-description = "Sample AgentFramework Agent using Microsoft Agent365 SDK"
+description = "Sample Agent Framework Agent using Microsoft Agent 365 SDK"
 authors = [
     { name = "Microsoft", email = "example@microsoft.com" }
 ]
@@ -71,4 +71,4 @@ dev-dependencies = [
     "pytest-asyncio>=0.24.0",
     "ruff>=0.1.0",
     "mypy>=1.0.0",
-]
+]

python/openai/sample-agent/.env.template

@@ -21,7 +21,7 @@ USE_AGENTIC_AUTH=
 
 AGENT_ID=
 
-# Agent365 Agentic Authentication Configuration
+# Agent 365 Agentic Authentication Configuration
 CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTID=
 CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET=
 CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID=
@@ -49,4 +49,4 @@ AZURE_OPENAI_DEPLOYMENT="gpt-4o-mini"
 # Required for observability SDK
 ENABLE_OBSERVABILITY=true
 ENABLE_KAIRO_EXPORTER=true
-PYTHON_ENVIRONMENT=production
+PYTHON_ENVIRONMENT=production

python/openai/sample-agent/AGENT-TESTING.md

@@ -16,7 +16,7 @@ The OpenAI Agent sample supports multiple testing modes and scenarios:
 ### Required Software
 - Python 3.11 or higher
 - OpenAI API key with sufficient credits
-- Access to Microsoft Agent365 MCP servers (for tool testing)
+- Access to Microsoft Agent 365 MCP servers (for tool testing)
 
 ### Environment Setup
 1. Install uv (Python package manager):
@@ -470,4 +470,4 @@ OBSERVABILITY_SERVICE_NAMESPACE=agents.samples
 - [ ] Error messages are clear and actionable
 - [ ] Different model configurations work
 
-This comprehensive testing guide ensures the OpenAI Agent sample is thoroughly validated across all its capabilities and integration points.
+This comprehensive testing guide ensures the OpenAI Agent sample is thoroughly validated across all its capabilities and integration points.

python/openai/sample-agent/README.md

@@ -4,7 +4,7 @@ This directory contains a sample agent implementation using Python and OpenAI.
 
 ## Demonstrates
 
-This sample demonstrates how to build an agent using the Agent365 framework with Python and OpenAI.
+This sample demonstrates how to build an agent using the Microsoft Agent 365 SDK with Python and OpenAI.
 
 ## Prerequisites
 

python/openai/sample-agent/pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "sample-openai-agent"
 version = "0.1.0"
-description = "Sample OpenAI Agent using Microsoft Agent365 SDK"
+description = "Sample OpenAI Agent using Microsoft Agent 365 SDK"
 authors = [
     { name = "Microsoft", email = "example@microsoft.com" }
 ]