* chore(python): improve dependency range automation - tighten dependency bounds and coding standards guidance\n- add dependency range validation workflow, reporting, and issue automation\n- update related tests and dependency pins for compatibility Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated text and pyarrow * new lock * fixed workflow * updated deps * fix tiktoken * chore(python): refine dependency validation workflows Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs(python): add high-level dependency validation comments Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * WIP * added additional comments and excludes * added dev dependency handling and workflow and updates to package ranges * added readme and simplified commands * fix markers * chore(python): address dependency review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Tighten dependency bounds, remove stale overrides, restore Python 3.10 support - Apply dependency bound policy across all packages: stable >=1.0 deps use >=floor,<next_major; pre-1.0/prerelease deps use validated hard-bounded ranges - Remove stale root tool.uv.override-dependencies (uvicorn, websockets, grpcio) - Lower github_copilot requires-python to >=3.10 with github-copilot-sdk gated behind python_version >= 3.11 marker; import raises ImportError on 3.10 - Skip github_copilot pyright/mypy/test tasks on Python <3.11 - Use version-conditional pyrightconfig for samples on Python 3.10 - Add compatibility fix in core responses client for older openai typed dicts - Normalize uv.lock prerelease mode and refresh dev dependencies - Update CODING_STANDARD.md, DEV_SETUP.md, and package management skill docs Closes #902 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * small tweaks * add note in workflow * fix workflows and several versions * fix duplicate --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Get Started with Microsoft Agent Framework Redis
Please install this package via pip:
pip install agent-framework-redis --pre
Components
Memory Context Provider
The RedisContextProvider enables persistent context and memory capabilities for your agents, allowing them to remember user preferences and conversation context across sessions and threads.
Basic Usage Examples
Review the set of getting started examples for using the Redis context provider.
Redis History Provider
The RedisHistoryProvider provides persistent conversation storage using Redis Lists, enabling chat history to survive application restarts and support distributed applications.
Key Features
- Persistent Storage: Messages survive application restarts
- Thread Isolation: Each conversation thread has its own Redis key
- Message Limits: Configurable automatic trimming of old messages
- Serialization Support: Full compatibility with Agent Framework thread serialization
- Production Ready: Connection pooling, error handling, and performance optimized
Basic Usage Examples
See the complete Redis history provider examples including:
- User session management
- Conversation persistence across restarts
- Session serialization and deserialization
- Automatic message trimming
- Error handling patterns
Installing and running Redis
You have 3 options to set-up Redis:
Option A: Local Redis with Docker
docker run --name redis -p 6379:6379 -d redis:8.0.3
Option B: Redis Cloud
Get a free db at https://redis.io/cloud/
Option C: Azure Managed Redis
Here's a quickstart guide to create Azure Managed Redis for as low as $12 monthly: https://learn.microsoft.com/en-us/azure/redis/quickstart-create-managed-redis