Giles Odigwe
7a2b8038cc
* Bump Python package versions for 1.15.0 release Prepare the CHANGELOG-selected Python packages for the 1.15.0 release. Root and core move to 1.15.0; changed stable extensions receive package-specific minor or patch bumps; changed beta packages receive the 260821 stamp; no beta cohort bump is applied. Core dependency floors use the conservative policy for co-released packages. Release validation also adds the six dependency required by the supported Azure Cosmos SDK floor and retains cross-platform-compatible development-tool pins. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 98e979bd-1d07-41fd-946d-00db8a93e248 * Remove hook-only formatting changes Keep the Python 1.15.0 release commit scoped to package metadata, release notes, dependency floors, and the lockfile. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 98e979bd-1d07-41fd-946d-00db8a93e248 * Minimize release lockfile changes Restore the upstream PyPI-backed lockfile and retain only package versions and dependency metadata changed by the Python 1.15.0 release. Also preserve the development-tool upgrades already present on main. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 98e979bd-1d07-41fd-946d-00db8a93e248 * Retain OpenAI core compatibility floor Keep agent-framework-openai 1.13.1 compatible with core 1.13 because its streaming tool-call index fix uses the existing additional_properties API and does not require core 1.15. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 98e979bd-1d07-41fd-946d-00db8a93e248 * Raise OpenAI version and core floor Bump agent-framework-openai to 1.14.0 and require core 1.15.0 so the new dependency requirement is signaled as a minor release. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 98e979bd-1d07-41fd-946d-00db8a93e248 --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 98e979bd-1d07-41fd-946d-00db8a93e248
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