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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>
96d242fa7f
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Getting started
The getting started samples demonstrate the fundamental concepts and functionality of the agent framework.
Samples
| Sample | Description |
|---|---|
| Agents | Step-by-step instructions for getting started with agents |
| Agents with Foundry | Foundry agent samples using FoundryAgent and AIProjectClient.AsAIAgent(...) |
| Agent Providers | Getting started with creating agents using various providers |
| Agents With Retrieval Augmented Generation (RAG) | Adding Retrieval Augmented Generation (RAG) capabilities to your agents |
| Agents With Memory | Adding memory capabilities to your agents |
| Agents With CodeAct (Hyperlight) | Enabling sandboxed code execution (CodeAct) for your agents via Hyperlight |
| Agent Open Telemetry | Getting started with OpenTelemetry for agents |
| Agent With OpenAI exchange types | Using OpenAI exchange types with agents |
| Agent With Anthropic | Getting started with agents using Anthropic Claude |
| Model Context Protocol | Getting started with Model Context Protocol |
| Agent Skills | Getting started with Agent Skills |
| Agent Harness with built-in tools | Demonstrating how to build an Agent Harness with built-in planning, todo, and mode management tooling |
| Declarative Agents | Loading and executing AI agents from YAML configuration files |
| AG-UI | Getting started with AG-UI (Agent UI Protocol) servers and clients |
| Dev UI | Interactive web interface for testing and debugging AI agents during development |
| A2A Agents | Working with Agent-to-Agent (A2A) specific features |