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Dmytro Struk 7d56a5a4d6 Update Python package versions to rc2 (#4258 )

- Bump core and azure-ai to 1.0.0rc2
- Bump preview packages to 1.0.0b260225
- Update dependencies to >=1.0.0rc2
- Add CHANGELOG entries for changes since rc1
- Update uv.lock

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

7d56a5a4d6 · 2026-02-25 19:37:44 +00:00

History

agent_framework_azure_ai

Python: Phase 2: Embedding clients for Ollama, Bedrock, and Azure AI Inference (#4207 )

2026-02-25 17:45:08 +00:00

tests

Python: Phase 2: Embedding clients for Ollama, Bedrock, and Azure AI Inference (#4207 )

2026-02-25 17:45:08 +00:00

AGENTS.md

.NET: Python: Add AGENTS.md files and update coding standards (#3644 )

2026-02-05 10:27:46 +00:00

LICENSE

Python: [BREAKING] updated structure and samples (#875 )

2025-09-25 07:02:53 +00:00

pyproject.toml

Update Python package versions to rc2 (#4258 )

2026-02-25 19:37:44 +00:00

README.md

Python: Add Foundry Memory Context Provider (#3943 )

2026-02-24 06:05:53 +00:00

README.md

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.