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* Add CosmosCheckpointStorage for Python workflow checkpointing Add native Cosmos DB NoSQL support for workflow checkpoint storage in the Python agent-framework-azure-cosmos package, achieving parity with the existing .NET CosmosCheckpointStore. New files: - _checkpoint_storage.py: CosmosCheckpointStorage implementing the CheckpointStorage protocol with 6 methods (save, load, list_checkpoints, delete, get_latest, list_checkpoint_ids) - test_cosmos_checkpoint_storage.py: Unit and integration tests - workflow_checkpointing.py: Sample demonstrating Cosmos DB-backed workflow checkpoint/resume Auth support: - Managed identity / RBAC via Azure credential objects (DefaultAzureCredential, ManagedIdentityCredential, etc.) - Key-based auth via account key string or AZURE_COSMOS_KEY env var - Pre-created CosmosClient or ContainerProxy Key design decisions: - Partition key: /workflow_name for efficient per-workflow queries - Serialization: Reuses encode/decode_checkpoint_value for full Python object fidelity (hybrid JSON + pickle approach) - Container auto-creation via create_container_if_not_exists Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Adding cosmos checkpointer * Resolving comments * Fixing builds * Adding sample for history provider and checkpoint storage * Resolving comments * fixing builds * Resolving comments --------- Co-authored-by: Aayush Kataria <aayushkataria@Aayushs-MacBook-Pro-2.local> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
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Conversation & Session Management Samples
These samples demonstrate different approaches to managing conversation history and session state in Agent Framework.
Samples
| File | Description |
|---|---|
suspend_resume_session.py |
Suspend and resume conversation sessions, comparing service-managed sessions (Azure AI Foundry) with in-memory sessions (OpenAI). |
custom_history_provider.py |
Implement a custom history provider by extending HistoryProvider, enabling conversation persistence in your preferred storage backend. |
cosmos_history_provider.py |
Use Azure Cosmos DB as a history provider for durable conversation storage with CosmosHistoryProvider. |
cosmos_history_provider_conversation_persistence.py |
Persist and resume conversations across application restarts using CosmosHistoryProvider — serialize session state, restore it, and continue with full Cosmos DB history. |
cosmos_history_provider_messages.py |
Direct message history operations — retrieve stored messages as a transcript, clear session history, and verify data deletion. |
cosmos_history_provider_sessions.py |
Multi-session and multi-tenant management — per-tenant session isolation, list_sessions() to enumerate, switch between sessions, and resume specific conversations. |
redis_history_provider.py |
Use Redis as a history provider for persistent conversation history storage across sessions. |
Prerequisites
For suspend_resume_session.py:
FOUNDRY_PROJECT_ENDPOINT: Your Azure AI Foundry project endpoint (service-managed session)FOUNDRY_MODEL: The Foundry model deployment nameOPENAI_API_KEY: Your OpenAI API key (in-memory session)- Azure CLI authentication (
az login)
For custom_history_provider.py:
OPENAI_API_KEY: Your OpenAI API key
For Cosmos DB samples (cosmos_history_provider*.py):
FOUNDRY_PROJECT_ENDPOINT: Your Azure AI Foundry project endpointFOUNDRY_MODEL: The Foundry model deployment nameAZURE_COSMOS_ENDPOINT: Your Azure Cosmos DB account endpointAZURE_COSMOS_DATABASE_NAME: The database that stores conversation historyAZURE_COSMOS_CONTAINER_NAME: The container that stores conversation history- Either
AZURE_COSMOS_KEYor Azure CLI authentication (az login)
For redis_history_provider.py:
OPENAI_API_KEY: Your OpenAI API key- A running Redis server — default URL is
redis://localhost:6379- Override via the
REDIS_URLenvironment variable for remote or authenticated instances - Quickstart with Docker:
docker run -d --name redis-stack -p 6379:6379 redis/redis-stack-server:latest
- Override via the