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Roger Barreto
0e2fcb1c7f
* Add Azure AI Foundry Memory Context Provider with unit tests * Add FoundryMemory integration tests and sample application * Fix ClearStoredMemoriesAsync to handle 404 gracefully and rename to EnsureStoredMemoriesDeletedAsync * Refactor FoundryMemory: simplify architecture and add memory store creation - Remove IFoundryMemoryOperations interface (was only for test mocking) - Remove AIProjectClientMemoryOperations wrapper class - Provider now directly uses AIProjectClient with internal extension methods - Extension methods return actual response models instead of extracted values - Remove WaitForUpdateCompletionAsync from provider (sample uses delay) - Simplify EnsureMemoryStoreCreatedAsync to return Task instead of Task<bool> - Add memory store creation with chat_model and embedding_model - Add UpdateMemoriesResponse with SupersededBy and Error fields - Simplify unit tests to focus on constructor validation and serialization - Update sample to use simple delay for memory processing wait * Add waiting operation for memory store updates * Fix UTF-8 BOM encoding for FoundryMemory csproj files * Update copilot instructions for UTF-8 BOM and fix sample API rename * Fix UTF-8 BOM encoding for TestableAIProjectClient.cs * Add missing response headers for TS * Changing default embedding * Using the SDK Models * Program update * Remove debugging code from sample * Adapt FoundryMemoryProvider to new AIContextProvider API and add UTF-8 BOM instruction - Override ProvideAIContextAsync/StoreAIContextAsync instead of removed virtual InvokingAsync/InvokedAsync - Use ProviderSessionState<State> for session-scoped state management (matching Mem0Provider pattern) - Replace constructor-based scope with stateInitializer delegate - Remove Serialize method (no longer on base class) - Add SearchInputMessageFilter, StorageInputMessageFilter, StateKey to options - Update sample to use AIContextProviders list instead of AIContextProviderFactory - Update unit and integration tests for new API - Add UTF-8 BOM encoding and --tl:off instructions to dotnet/AGENTS.md Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Use DefaultAzureCredential in Foundry Memory sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review comments for FoundryMemoryProvider - Move memoryStoreName from options to required constructor parameter - Make FoundryMemoryProviderScope require non-null/whitespace scope in constructor - Make Scope property read-only (getter only) - Replace ConcurrentQueue with single last update ID to fix memory leak - Only clear pending update ID after successful completion - Add delete success logging - Mark FoundryMemoryProvider with [Experimental] attribute - Update unit tests for new API signatures Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Use Throw.IfNullOrWhitespace for scope and memoryStoreName validation Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Agent Framework Retrieval Augmented Generation (RAG)
These samples show how to create an agent with the Agent Framework that uses Memory to remember previous conversations or facts from previous conversations.
| Sample | Description |
|---|---|
| Chat History memory | This sample demonstrates how to enable an agent to remember messages from previous conversations. |
| Memory with MemoryStore | This sample demonstrates how to create and run an agent that uses the Mem0 service to extract and retrieve individual memories. |
| Custom Memory Implementation | This sample demonstrates how to create a custom memory component and attach it to an agent. |
| Memory with Azure AI Foundry | This sample demonstrates how to create and run an agent that uses Azure AI Foundry's managed memory service to extract and retrieve individual memories. |