updating branding

Author: aahill

articles/ai-services/agents/concepts/agent-catalog.md

@@ -51,30 +51,30 @@ The README also includes information about the application, such as the use case
 
 A full list of agent samples in the catalog can be found on the Azure AI Foundry. There are several templates available that are authored by Microsoft and partners across different domains such as: travel, finance, insurance, business intelligence, healthcare, and more. 
 
-**Azure AI Agent Service Agent Catalog**
+**Azure AI Foundry Agent Service agent catalog**
 
 | Code sample | Description | Author | Type | SDK | Difficulty level | Tools |
 |-------------|-------------|--------|--------------|------------------|------|--------|
-| [Browser Automation Agent](https://aka.ms/browser-automation) | Kickstart browser automation scenarios with this Azure Playwright powered template | Microsoft | Single-agent | Agent AI Agent Service | Beginner | Playwright |
+| [Browser Automation Agent](https://aka.ms/browser-automation) | Kickstart browser automation scenarios with this Azure Playwright powered template | Microsoft | Single-agent | Foundry Agent Service | Beginner | Playwright |
 | [AI Red Teaming Agent](https://github.com/microsoft/agent-catalog/tree/main/semantic-kernel-blueprints/ai-red-teaming-agent) | Facilitates the development of a copilot to accelerate your AI red teaming process: through multi-agent system that automates the generation, transformation, and execution of harmful prompts against target generative AI models or applications for AI red teaming purposes. Useful for streamlining safety testing workflows, surfacing guardrail bypasses, and guiding risk mitigation planning. | Microsoft | Multi-agent | Semantic Kernel | Advanced | N/A |
-| [Saifr Communication Compliance Agent](https://aka.ms/saifr-communication-agent) | The Saifr Communication Compliance Agent identifies potentially noncompliant text and generates a more compliant, fair, and balanced version, helping end users better adhere to relevant regulatory guidelines | Saifr from Fidelity Labs | Single-agent | Agent AI Agent Service | Intermediate | OpenAPI Specified Tool |
-| [Auquan Due Diligence Risk Analyst](https://aka.ms/due-diligence-risk-analyst-agent) | Helps create agents that assess risks across financial, operational, regulatory, and ESG domains | Auquan | Single-agent | Agent AI Agent Service | Intermediate | OpenAPI Specified Tool |
+| [Saifr Communication Compliance Agent](https://aka.ms/saifr-communication-agent) | The Saifr Communication Compliance Agent identifies potentially noncompliant text and generates a more compliant, fair, and balanced version, helping end users better adhere to relevant regulatory guidelines | Saifr from Fidelity Labs | Single-agent | Foundry Agent Service | Intermediate | OpenAPI Specified Tool |
+| [Auquan Due Diligence Risk Analyst](https://aka.ms/due-diligence-risk-analyst-agent) | Helps create agents that assess risks across financial, operational, regulatory, and ESG domains | Auquan | Single-agent | Foundry Agent Service | Intermediate | OpenAPI Specified Tool |
 | [Healthcare Agent Orchestrator](https://aka.ms/healthcare-multi-agent) | Facilitates the development and testing of  modular specialized agents that coordinate across diverse data types and tools like M365 and Teams to assist multi-disciplinary healthcare workflows—such as cancer care. | Microsoft | Multi-agent | Semantic Kernel | Advanced |  |
-| [ResearchFlow Agent](https://aka.ms/research-flow) | Helps create agents that execute complex, multi-step research workflows and solve open-ended tasks | Microsoft | Multi-agent | Agent AI Agent Service | Advanced |  |
-| [Magentic-One Agent](https://aka.ms/magnetic-one) | A generalist, autonomous multi-agent system that performs deep research and problem-solving by orchestrating web search, code generation, and code execution agents. Helpful for tackling open-ended analytical or technical tasks. | Microsoft | Multi-agent | Agent AI Agent Service | Advanced |  |
-| [SightMachine Filler Optimization Agent](https://aka.ms/sight-machine-filler-optimization-agent) | The SightMachine Filler Optimization Agent supports building agents that analyze manufacturing data to reduce bottlenecks and improve throughput via predictive insights | SightMachine | Single-agent | Agent AI Agent Service | Intermediate | Azure Functions |
-| [Marquee Insights AI News Agent](https://aka.ms/ai-news-agent) | Enables creating an agent that retrieves and summarize news focused on Microsoft, healthcare, and legal sectors | Marquee Insights | Single-agent | Agent AI Agent Service | Intermediate |  |
-| [MiHCM HR Assist Agent](https://aka.ms/hr-agent) | Supports agent development for HR scenarios by enabling employees to navigate HR-related records like leave balances, HR requests and work activities using MiHCM's HR APIs | MiHCM | Single-agent | Agent AI Agent Service | Intermediate | OpenAPI Specified Tool |
-| [Portfolio Navigator](https://aka.ms/trusty-link) | Supports agent creation for exploring financial topics from Morningstar data and Grounding with Bing | Microsoft | Single-agent | Agent AI Agent Service | Beginner | Morningstar, Grounding with Bing |
-| [Travel Planner](https://aka.ms/travel-planner) | Enables agent creation for travel scenarios | Microsoft | Single-agent | Agent AI Agent Service | Beginner | File Search, Code Interpreter, Tripadvisor, OpenAPI Specified Tool |
-| [Home Loan Guide](https://aka.ms/home-loan-guide) | Enables agent creation to provide users with helpful information about mortgage applications at a fictitious company, Contoso Bank. | Microsoft | Single-agent | Agent AI Agent Service | Beginner | Connected Agents, File Search, Code Interpreter, Grounding with Bing |
-| [Sales Analyst Agent](https://aka.ms/sales-analyst) | Supports building agents that analyze sales data | Microsoft | Single-agent | Agent AI Agent Service | Beginner | File Search, Code Interpreter |
-| [Customer Service Agent](https://aka.ms/customer-service) | Helps create a multi-agent system that manages full-cycle support resolution —from authentication to escalation to resolution | Microsoft | Multi-agent | Agent AI Agent Service | Advanced |  |
+| [ResearchFlow Agent](https://aka.ms/research-flow) | Helps create agents that execute complex, multi-step research workflows and solve open-ended tasks | Microsoft | Multi-agent | Foundry Agent Service | Advanced |  |
+| [Magentic-One Agent](https://aka.ms/magnetic-one) | A generalist, autonomous multi-agent system that performs deep research and problem-solving by orchestrating web search, code generation, and code execution agents. Helpful for tackling open-ended analytical or technical tasks. | Microsoft | Multi-agent | Foundry Agent Service | Advanced |  |
+| [SightMachine Filler Optimization Agent](https://aka.ms/sight-machine-filler-optimization-agent) | The SightMachine Filler Optimization Agent supports building agents that analyze manufacturing data to reduce bottlenecks and improve throughput via predictive insights | SightMachine | Single-agent | Foundry Agent Service | Intermediate | Azure Functions |
+| [Marquee Insights AI News Agent](https://aka.ms/ai-news-agent) | Enables creating an agent that retrieves and summarize news focused on Microsoft, healthcare, and legal sectors | Marquee Insights | Single-agent | Foundry Agent Service | Intermediate |  |
+| [MiHCM HR Assist Agent](https://aka.ms/hr-agent) | Supports agent development for HR scenarios by enabling employees to navigate HR-related records like leave balances, HR requests and work activities using MiHCM's HR APIs | MiHCM | Single-agent | Foundry Agent Service | Intermediate | OpenAPI Specified Tool |
+| [Portfolio Navigator](https://aka.ms/trusty-link) | Supports agent creation for exploring financial topics from Morningstar data and Grounding with Bing | Microsoft | Single-agent | Foundry Agent Service | Beginner | Morningstar, Grounding with Bing |
+| [Travel Planner](https://aka.ms/travel-planner) | Enables agent creation for travel scenarios | Microsoft | Single-agent | Foundry Agent Service | Beginner | File Search, Code Interpreter, Tripadvisor, OpenAPI Specified Tool |
+| [Home Loan Guide](https://aka.ms/home-loan-guide) | Enables agent creation to provide users with helpful information about mortgage applications at a fictitious company, Contoso Bank. | Microsoft | Single-agent | Foundry Agent Service | Beginner | Connected Agents, File Search, Code Interpreter, Grounding with Bing |
+| [Sales Analyst Agent](https://aka.ms/sales-analyst) | Supports building agents that analyze sales data | Microsoft | Single-agent | Foundry Agent Service | Beginner | File Search, Code Interpreter |
+| [Customer Service Agent](https://aka.ms/customer-service) | Helps create a multi-agent system that manages full-cycle support resolution —from authentication to escalation to resolution | Microsoft | Multi-agent | Foundry Agent Service | Advanced |  |
 | [Warranty Claim Processing Agent](https://aka.ms/warranty-claim-processing) | Facilitates the development of agents for processing warranty claims | Microsoft | Single-agent | Semantic Kernel | Intermediate | OpenAPI Specified Tool |
-| [Voice Live Agent](https://aka.ms/voice-live-agent) | Enables agent development for real-time, voice-based interactions using Azure AI Voice Live API. | Microsoft | Single-agent | Agent AI Agent Service  | Intermediate |  |
-| [Text Translation Agent](https://aka.ms/translation-agent) | Helps create agents that handle multilingual text processing, including dynamic language detection and bidirectional translation using Azure AI Translator service | Microsoft | Single-agent | Agent AI Agent Service | Beginner | OpenAPI Specified Tool |
+| [Voice Live Agent](https://aka.ms/voice-live-agent) | Enables agent development for real-time, voice-based interactions using Azure AI Voice Live API. | Microsoft | Single-agent | Foundry Agent Service  | Intermediate |  |
+| [Text Translation Agent](https://aka.ms/translation-agent) | Helps create agents that handle multilingual text processing, including dynamic language detection and bidirectional translation using Azure AI Translator service | Microsoft | Single-agent | Foundry Agent Service | Beginner | OpenAPI Specified Tool |
 | [Video Translation Agent](https://aka.ms/video-translation-agent) | Supports building agents for multilingual video localization with translation, subtitles, and speech generation | Microsoft | Single-agent | Semantic Kernel | Beginner | N/A |
-| [Intent Routing Agent](https://aka.ms/intent-routing) | Helps create agents that detect user intent and provide exact answering. Perfect for deterministically intent routing and exact question answering with human controls. | Microsoft | Single-agent | Agent AI Agent Service | Beginner | OpenAPI Specified Tool |
-| [Exact Question Answering Agent](https://aka.ms/exact-question-answering) | Supports building agents that answer predefined, high-value questions to ensure consistent and accurate responses. | Microsoft | Single-agent | Agent AI Agent Service | Beginner | OpenAPI Specified Tool |
+| [Intent Routing Agent](https://aka.ms/intent-routing) | Helps create agents that detect user intent and provide exact answering. Perfect for deterministically intent routing and exact question answering with human controls. | Microsoft | Single-agent | Foundry Agent Service | Beginner | OpenAPI Specified Tool |
+| [Exact Question Answering Agent](https://aka.ms/exact-question-answering) | Supports building agents that answer predefined, high-value questions to ensure consistent and accurate responses. | Microsoft | Single-agent | Foundry Agent Service | Beginner | OpenAPI Specified Tool |
 | [Contract Analysis Agent](https://aka.ms/contract-analysis-agent) | Enables creating agents that compare contract versions, extract key clauses, highlight differences, and generate review-ready reports. | Microsoft | Single-agent | Semantic Kernel | Intermediate | File Search, OpenAPI Specified Tool |
 | [SOP Forge Agent](https://aka.ms/sop-forge-agent) | Helps create an agent that converts instructional videos into a fully formatted Standard Operating Procedure (SOP). | Microsoft | Single-agent | Semantic Kernel | Intermediate | File Search, OpenAPI Specified Tool |

articles/ai-services/agents/concepts/model-region-support.md

@@ -63,7 +63,7 @@ agent = project_client.agents.create_agent( model="llama-3", name="my-agent", in
 
 ### Models with tool-calling 
 
-To best support agentic scenarios, we recommend using models that support tool-calling. The Azure AI Agent Service currently supports all agent-compatible models from the Azure AI Foundry model catalog. 
+To best support agentic scenarios, we recommend using models that support tool-calling. The Azure AI Foundry Agent Service currently supports all agent-compatible models from the Azure AI Foundry model catalog. 
 
 To use these models, use the [Azure AI Foundry portal](https://ai.azure.com/) to make a model deployment, then reference the deployment name in your agent. For example: 
 

articles/ai-services/agents/concepts/standard-agent-setup.md

@@ -25,7 +25,7 @@ Both standard setup configurations are designed to give you complete control ove
 * BYO Search: All vector stores created by the agent leverage the customer’s Azure AI Search resource.   
 * BYO Thread Storage: All customer messages and conversation history will be stored in the customer’s own Azure Cosmos DB account.  
 
-By bundling these BYO features (file storage, search, and thread storage), the standard setup guarantees that your deployment is secure by default. All data processed by Azure AI Agent Service is automatically stored at rest in your own Azure resources, helping you meet internal policies, compliance requirements, and enterprise security standards. 
+By bundling these BYO features (file storage, search, and thread storage), the standard setup guarantees that your deployment is secure by default. All data processed by Azure AI Foundry Agent Service is automatically stored at rest in your own Azure resources, helping you meet internal policies, compliance requirements, and enterprise security standards. 
 
 ## Project-Level Data Isolation
 
@@ -41,7 +41,7 @@ Azure AI Foundry enforces project-level data isolation by default. When you conf
 This default behavior was chosen to reduce configuration complexity while still enforcing strict data boundaries—ensuring each project has a clean, isolated storage footprint without requiring manual setup. 
 
 ## Capability hosts
-**Capability hosts** are sub-resources on both the Account and Project, enabling interaction with the Azure AI Agent Service. 
+**Capability hosts** are sub-resources on both the Account and Project, enabling interaction with the Azure AI Foundry Agent Service. 
 - **Account Capability Host**: The account capability host has an empty request body except for the parameter capabilityHostKind="Agents". 
 - **Project Capability Host**: Specifies resources for storing agent state, either managed multitenant (basic setup) or customer-owned (standard setup), single-tenant resource. Think of project capability host as the project settings.
 

articles/ai-services/agents/environment-setup.md

@@ -14,7 +14,7 @@ ms.custom: azure-ai-agents
 
 # Set up your environment
 
-Creating your first agent with Azure AI Agent Service is a two-step process: 
+Creating your first agent with Azure AI Foundry Agent Service is a two-step process: 
 1. Set up your agent environment.
 1. Create and configure your agent using either the SDK of your choice or the Azure Foundry Portal. 
 

articles/ai-services/agents/faq.yml

@@ -17,23 +17,23 @@ sections:
   - name: General
     questions:
       - question: |
-          Do you store any data used in the AI Agent Service API? 
+          Do you store any data used in the Foundry Agent Service API? 
         answer: |
-          Yes. Unlike Chat Completions API, Azure AI Foundry Agent Service is a stateful API, meaning it retains data. There are two types of data stored in the AI Agent Service API: 
-          * Stateful entities: Threads, messages, and runs created during AI Agent Service use. 
-          * Files: Uploaded during AI Agent Service setup or as part of a message.  
+          Yes. Foundry Agent Service is a stateful API, meaning it retains data. There are two types of data stored in the Foundry Agent Service API: 
+          * Stateful entities: Threads, messages, and runs created during usage. 
+          * Files: Uploaded during Foundry Agent Service setup or as part of a message.  
       - question: |
           Where is this data stored?
         answer: |
           Data is stored in a secure, Microsoft-managed storage account that is logically separated.  
       - question: |
           How long is this data stored?
         answer: |
-          All used data persists in this system unless you explicitly delete this data. Use the delete function with the thread ID of the thread you want to delete. Clearing the Run in the AI Agent Service Playground doesn't delete threads, however deleting them using delete function won't list them in the thread page. 
+          All used data persists in this system unless you explicitly delete this data. Use the delete function with the thread ID of the thread you want to delete. Clearing the Run in the Foundry Agent Service Playground doesn't delete threads, however deleting them using delete function won't list them in the thread page. 
       - question: | 
-          Does AI Agent Service support customer-managed key encryption (CMK)?
+          Does Foundry Agent Service support customer-managed key encryption (CMK)?
         answer: |
-          Today we support CMK for Threads and Files in AI Agent Service.
+          Today we support CMK for Threads and Files in Foundry Agent Service.
       - question: |
           Is my data used by Microsoft for training models? 
         answer: |
@@ -43,18 +43,18 @@ sections:
         answer: |
           Azure AI Foundry Agent Service endpoints are regional, and data is stored in the same region as the endpoint. For more information, see the [Azure data residency documentation](https://azure.microsoft.com/explore/global-infrastructure/data-residency/#overview). 
       - question: |
-          How am I charged for AI Agent Service?
+          How am I charged for Foundry Agent Service?
         answer: |
           * Inference cost (input and output) of the base model you're using for each Agent (for example gpt-4-0125). If you've created multiple agents, you'll be charged for the base model attached to each Agent.
           * If you've enabled the Code Interpreter tool - for example your agent calls Code Interpreter simultaneously in two different threads, this would create two Code Interpreter sessions, each of which would be charged. Each session is active by default for one hour, which means that you would only pay this fee once if your user keeps giving instructions to Code Interpreter in the same thread for up to one hour.
           * File search is billed based on the vector storage used. 
 
           For more information, see the [pricing page](https://azure.microsoft.com/pricing/details/ai-foundry/).
       - question: |
-          Is there any additional pricing or quota for using AI Agent Service? 
+          Is there any additional pricing or quota for using Foundry Agent Service? 
         answer: |
-          No. All [quotas](./quotas-limits.md) apply to using models with AI Agent Service.
+          No. All [quotas](./quotas-limits.md) apply to using models with Foundry Agent Service.
       - question: |
-          Does the AI Agent Service API support non-Azure OpenAI models?   
+          Does the Foundry Agent Service API support non-Azure OpenAI models?   
         answer: |
-          Yes, the AI Agent Service API supports non-Azure OpenAI models. See the [models](./concepts/model-region-support.md) page for more information.
+          Yes, the Foundry Agent Service API supports non-Azure OpenAI models. See the [models](./concepts/model-region-support.md) page for more information.