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Giles Odigwe
8fc19a3437
* Deprecate Azure AI v1 (Persistent Agents API) helper methods Add DeprecationWarning to v1 classes and functions that have been superseded by the v2 (Projects/Responses) API: - AzureAIAgentsProvider -> use AzureAIProjectAgentProvider - AzureAIAgentClient -> use AzureAIClient - AzureAIAgentOptions -> use AzureAIProjectAgentOptions - to_azure_ai_agent_tools() -> use to_azure_ai_tools() - from_azure_ai_agent_tools() -> use from_azure_ai_tools() - AzureAIAgentClient static tool factory methods -> use AzureAIClient equivalents All v1 components still function but emit warnings to guide migration. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add deprecation warnings to AzureAIAgentsProvider methods Mark create_agent(), get_agent(), and as_agent() as deprecated individually, pointing to AzureAIProjectAgentProvider equivalents. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
8fc19a3437
ยท
2026-03-20 08:53:36 +00:00
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Get Started with Microsoft Agent Framework Azure AI
Please install this package via pip:
pip install agent-framework-azure-ai --pre
Foundry Memory Context Provider
The Foundry Memory context provider enables semantic memory capabilities for your agents using Azure AI Foundry Memory Store. It automatically:
- Retrieves static (user profile) memories on first run
- Searches for contextual memories based on conversation
- Updates the memory store with new conversation messages
Basic Usage Example
See the Foundry Memory example which demonstrates:
- Creating a memory store using Azure AI Projects client
- Setting up an agent with FoundryMemoryProvider
- Teaching the agent user preferences
- Retrieving information using remembered context across conversations
- Automatic memory updates with configurable delays
and see the README for more information.