AgentFrameworkToolkit.MicrosoftFoundry 1.13.0

Agent Framework Toolkit @ Microsoft Foundry

This package is aimed at Microsoft Foundry as an LLM Provider. Check out the General README.md for other providers and shared features in Agent Framework Toolkit.

What is Agent Framework Toolkit?

Agent Framework Toolkit is an opinionated C# wrapper on top of the Microsoft Agent Framework that makes various things easier to work with:

• Easier to set advanced Agent Options (often only needing half or fewer lines of code to do the same things) that normally would need the Breaking Glass approach.
• Easier Tools / MCP Tools Definition
• Easier Structured Output calling with .RunAsync<>(...) even on AIAgents using Tool Calling Middleware.

FAQ

Q: If I use the Agent Framework Toolkit, does it limit or hinder what I can do with Microsoft Agent Framework?

A: No, everything you can do with Microsoft Agent Framework can still be done with Agent Framework Toolkit. It is just a wrapper that enables options that are hard to use otherwise

Q: What is the release frequency of Agent Framework Toolkit (can I always use the latest Microsoft Agent Framework release)?

A: This NuGet package is released as often (or more) than the Microsoft Agent Framework. At a minimum, it will be bumped to the latest Microsoft Agent Framework Release within a day of official release. It follows the same versioning scheme as AF, so the same or higher version number will always be compatible with the latest release.

Q: Why are the agents not AIAgent / ChatClientAgents? Are they compatible with the rest of the Microsoft Agent Framework?

A: The specialized agents in Agent Framework Toolkit are all 100% compatible with AF as they simply inherit from AIAgent

Getting Started

1. Install the 'AgentFrameworkToolkit.MicrosoftFoundry' NuGet Package (dotnet add package AgentFrameworkToolkit.MicrosoftFoundry)
2. Get your Microsoft Foundry Project Endpoint
3. Ensure you have RBAC Access (Example using Azure CLI)
4. Create an MicrosoftFoundryAgentFactory instance (Namespace: AgentFrameworkToolkit.MicrosoftFoundry)
5. Use instance to create your MicrosoftFoundryAgent (which is a regular Microsoft Agent Framework AIAgent behind the scenes)

Minimal Code Example

//Create your AgentFactory
MicrosoftFoundryAgentFactory agentFactory = new MicrosoftFoundryAgentFactory("<Endpoint>", new AzureCliCredential());

//Create your Agent
MicrosoftFoundryAgent agent = agentFactory.CreateAgent("gpt-5");
AgentResponse response = await agent.RunAsync("Hello World");
Console.WriteLine(response);

Declarative Agents

MicrosoftFoundryDeclarativeAgentFactory creates and manages declarative agents whose definitions are stored in your Microsoft Foundry project. This differs from MicrosoftFoundryAgentFactory, which creates an agent backed directly by a model client without creating a persistent agent definition in the project.

Creating an agent with a new name creates its first version. Creating it again with the same name and a changed definition creates a new version. Because these agents persist in Microsoft Foundry, delete temporary agents when they are no longer needed.

Create and manage a declarative agent

MicrosoftFoundryConnection connection = new()
{
    Endpoint = "<Endpoint>",
    AuthenticationTokenProvider = new AzureCliCredential()
};

MicrosoftFoundryDeclarativeAgentFactory agentFactory = new(connection);
string agentName = $"my-agent-name";
bool agentCreated = false;

try
{
    MicrosoftFoundryAgent agent = agentFactory.CreateAgent(new DeclarativeAgentOptions
    {
        Name = agentName,
        Model = "gpt-5-nano",
        Instructions = "You are a concise assistant.",
        Tools = [],
        McpTools = [],
        WebSearchTool = false,
        CodeInterpreterTool = false
    });
    agentCreated = true;

    AgentResponse response = await agent.RunAsync("Hello World");
    Console.WriteLine(response);

    //Retrieve the latest version, inspect all versions, or select a specific version
    MicrosoftFoundryAgent latestAgent = agentFactory.GetAgent(agentName);
    IList<ProjectsAgentVersion> versions = agentFactory.GetAgentVersions(agentName);
    MicrosoftFoundryAgent firstVersion = agentFactory.GetAgent(agentName, versions[0].Version);

    //List all declarative prompt agents in the project
    IList<MicrosoftFoundryAgent> agents = agentFactory.GetAgents();
}
finally
{
    if (agentCreated)
    {
        //Optional: Deletes the persistent agent and its versions from Microsoft Foundry (if you want to clean-up as part of testing. In production code you let the agent remain)
        agentFactory.DeleteAgent(agentName);
    }
}

The factory provides three creation levels:

The returned MicrosoftFoundryAgent is a regular Microsoft Agent Framework AIAgent and can be run with RunAsync or used anywhere an AIAgent is accepted.

Normal Code Example (RBAC)

//Create your AgentFactory
MicrosoftFoundryAgentFactory agentFactory = new MicrosoftFoundryAgentFactory(new MicrosoftFoundryConnection
{
    Endpoint = "<Endpoint>",
    AuthenticationTokenProvider = new AzureCliCredential() //Or similar
});

//Create your Agent
MicrosoftFoundryAgent agent = agentFactory.CreateAgent(new AgentOptions //Use AgentOptions overload to access more options
{
    Model = "gpt-5",
    ReasoningEffort = OpenAIReasoningEffort.Low, //Set reasoning effort
    Instructions = "You are a nice AI", //The System Prompt
    Tools = [], //Add your tools here
});

AgentResponse response = await agent.RunAsync("Hello World");
Console.WriteLine(response);

Full Code example with ALL options

//Create your AgentFactory (using a connection object for more options)
MicrosoftFoundryAgentFactory agentFactory = new MicrosoftFoundryAgentFactory(new MicrosoftFoundryConnection
{
    Endpoint = "<endpoint>",
    AuthenticationTokenProvider = new AzureCliCredential(), //Or similar
    NetworkTimeout = TimeSpan.FromMinutes(5), //Set call timeout
    DefaultClientType = ClientType.ResponsesApi //Set default Client Type for each agent (ChatClient or ResponsesAPI)
});

//Create your Agent
MicrosoftFoundryAgent agent = agentFactory.CreateAgent(new AgentOptions
{
    //Mandatory
    Model = "gpt-5", //Model to use
            
    //Optional (Common)
    ClientType = ClientType.ChatClient, //Choose ClientType (ChatClient or Responses API)
    Name = "MyAgent", //Agent Name
    Temperature = 0, //The Temperature of the LLM Call (1 = Normal; 0 = Less creativity) [ONLY NON-REASONING MODELS]
    ReasoningEffort = OpenAIReasoningEffort.Low, //Set Reasoning Effort [ONLY REASONING MODELS]
    ReasoningSummaryVerbosity = OpenAIReasoningSummaryVerbosity.Detailed, //Only used in Responses API [ONLY REASONING MODELS]
    Instructions = "You are a nice AI", //The System Prompt for the Agent to Follow
    Tools = [], //Add your tools for Tool Calling here
    ToolCallingMiddleware = async (callingAgent, context, next, token) => //Tool Calling Middleware to Inspect, change, and cancel tool-calling
    {
        AIFunctionArguments arguments = context.Arguments; //Details on the tool-call that is about to happen
        return await next(context, token);
    },
    OpenTelemetryMiddleware = new OpenTelemetryMiddleware(source: "MyOpenTelemetrySource", telemetryAgent => telemetryAgent.EnableSensitiveData = true), //Configure OpenTelemetry Middleware

    //Optional (Rarely used)
    MaxOutputTokens = 2000, //Max allow token
    Id = "1234", //Set the ID of Agent (else a random GUID is assigned as ID)
    Description = "My Description", //Description of the Agent (not used by the LLM)
    LoggingMiddleware = new LoggingMiddleware( /* Configure custom logging */),
    Services = null, //Setup Tool Calling Service Injection (See https://youtu.be/EGs-Myf5MB4 for more details)
    LoggerFactory = null, //Setup logger Factory (Alternative to Middleware)
    ChatHistoryProvider = new MyChatMessageStore(), //Set a custom message store
    AIContextProviders = [new MyAIContextProvider()], //Set custom AI context providers
    AdditionalChatClientAgentOptions = options =>
    {
        //Option to set even more options if not covered by AgentFrameworkToolkit
    },
    RawToolCallDetails = Console.WriteLine, //Raw Tool calling Middleware (if you just wish to log what tools are being called. ToolCallingMiddleware is a more advanced version of this)
    RawHttpCallDetails = details => //Intercept the raw HTTP Call to the LLM (great for advanced debugging sessions)
    {
        Console.WriteLine(details.RequestUrl);
        Console.WriteLine(details.RequestData);
        Console.WriteLine(details.ResponseData);
    },
    ClientFactory = client =>
    {
        //Interact with the underlying Client-factory
        return client;
    }
});

AgentResponse response = await agent.RunAsync("Hello World");
Console.WriteLine(response);