westey
96d242fa7f
* Move token params from HarnessAgent constructor to options Remove the required maxContextWindowTokens and maxOutputTokens constructor parameters from HarnessAgent and AsHarnessAgent, replacing them with optional MaxContextWindowTokens and MaxOutputTokens properties on HarnessAgentOptions. When both values are provided, compaction is enabled as before (in-loop CompactionProvider and chat reducer on the default InMemoryChatHistory Provider). When either is null, compaction is disabled entirely, making it opt-in. New constructor: HarnessAgent(IChatClient, HarnessAgentOptions?, ILoggerFactory?, IServiceProvider?) Closes #6333 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Improving comments. * feat: Add custom CompactionStrategy and DisableCompaction to HarnessAgentOptions Allow users to provide their own CompactionStrategy via options, with a clear priority system: 1. DisableCompaction=true: no compaction regardless of other settings 2. Custom CompactionStrategy provided: use it (token params ignored) 3. Both MaxContextWindowTokens and MaxOutputTokens set: default strategy 4. Otherwise: no compaction Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: Address PR review comments on compaction opt-in - Update chatClient param XML doc to reflect compaction is opt-in - Strengthen compaction tests to assert ChatReducer is null/not-null rather than just asserting construction succeeds Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Agent Framework Samples
The agent framework samples are designed to help you get started with building AI-powered agents from various providers.
The Agent Framework supports building agents using various inference and inference-style services.
All these are supported using the single ChatClientAgent class.
The Agent Framework also supports creating proxy agents, that allow accessing remote agents as if they
were local agents. These are supported using various AIAgent subclasses.
Sample Structure
| Folder | Description |
|---|---|
01-get-started/ |
Progressive tutorial: hello agent → hosting |
02-agents/ |
Deep-dive by concept: tools, middleware, providers, orchestrations |
03-workflows/ |
Workflow patterns: sequential, concurrent, state, declarative |
04-hosting/ |
Deployment: Azure Functions, Durable Tasks |
05-end-to-end/ |
Full applications, evaluation, demos |
Getting Started
Start with 01-get-started/ and work through the numbered files:
- 01_hello_agent — Create and run your first agent
- 02_add_tools — Add function tools
- 03_multi_turn — Multi-turn conversations with
AgentSession - 04_memory — Agent memory with
AIContextProvider - 05_first_workflow — Build a workflow with executors and edges
- 06_host_your_agent — Host your agent via Azure Functions
Additional Samples
Some additional samples of note include:
- Agents: Basic steps to get started with the agent framework.
These samples demonstrate the fundamental concepts and functionalities of the agent framework when using the
AIAgentand can be used with any underlying service that provides anAIAgentimplementation. - Agent Providers: Shows how to create an AIAgent instance for a selection of providers.
- Agent Telemetry: Demo which showcases the integration of OpenTelemetry with the Microsoft Agent Framework using Azure OpenAI and .NET Aspire Dashboard for telemetry visualization.
- Durable Agents - Azure Functions: Samples for using the Microsoft Agent Framework with Azure Functions via the durable task extension.
- Durable Agents - Console Apps: Samples demonstrating durable agents in console applications.
Migration from Semantic Kernel
If you are migrating from Semantic Kernel to the Microsoft Agent Framework, the following resources provide guidance and side-by-side examples to help you transition your existing agents, tools, and orchestration patterns.
The migration samples map Semantic Kernel primitives (such as ChatCompletionAgent and Team orchestrations) to their Agent Framework equivalents (such as ChatClientAgent and workflow builders).
For an in-depth migration guide, see the official migration documentation.
Prerequisites
For prerequisites see each set of samples for their specific requirements.