github-featured/microsoft--agent-framework

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Eduard van Valkenburg d08200d00e Python: Bump package versions for 1.12.0 release (#7238 )

* Bump Python package versions for 1.12.0 release

Bump packages represented in the 1.12.0 changelog, promote Foundry Hosting, Azure Content Understanding, Gemini, Mistral, Monty, and Tools to beta, and apply the requested beta cohort date stamp. Root and core move to 1.12.0, released and RC packages use their selected increments, alpha packages including Hosting MCP use the 260721 stamp, and core floors are raised only for proven consumers.

Copilot-Session: 2dd9980a-b869-4c16-8642-75b7a6d6ebdf

* fix version in readme

* Add Responses conversation ID changes to release notes

Include the breaking Hosting Responses conversation ID helper changes from #7234 in the Python 1.12.0 changelog.

Copilot-Session: 2dd9980a-b869-4c16-8642-75b7a6d6ebdf

2026-07-21 15:45:00 +00:00

azure_ai_search

Update Foundry branding (#6999 )

2026-07-14 06:44:26 +00:00

azure_content_understanding

Python: Bump package versions for 1.12.0 release (#7238 )

2026-07-21 15:45:00 +00:00

code_act

Python: Bump package versions for 1.12.0 release (#7238 )

2026-07-21 15:45:00 +00:00

file_access_data_processing

Update Foundry branding (#6999 )

2026-07-14 06:44:26 +00:00

mem0

Python: Fix broken samples and add missing READMEs (#5038 )

2026-04-01 21:35:16 +00:00

neo4j

Python: Adds sample documentation for two separate Neo4j context providers for retrieval and memory (#4010 )

2026-04-07 09:57:35 +00:00

neo4j_memory

Python: Adds sample documentation for two separate Neo4j context providers for retrieval and memory (#4010 )

2026-04-07 09:57:35 +00:00

redis

Update Foundry branding (#6999 )

2026-07-14 06:44:26 +00:00

azure_ai_foundry_memory.py

Python: [BREAKING] Standardize model selection on model (#4999 )

2026-04-01 19:00:18 +00:00

cross_session_observer.py

Python: feat: cross-session origin attribution on context messages (#7041 )

2026-07-14 17:34:52 +00:00

README.md

Python: Bump package versions for 1.12.0 release (#7238 )

2026-07-21 15:45:00 +00:00

simple_context_provider.py

Python: Split type checkers by target (pyright source, 5 checkers on tests/samples) (#6443 )

2026-06-18 15:06:20 +00:00

README.md

Context Provider Samples

These samples demonstrate how to use context providers to enrich agent conversations with external knowledge — from custom logic to Azure AI Search (RAG) and memory services.

Samples

File / Folder	Description
`simple_context_provider.py`	Implement a custom context provider by extending `ContextProvider` to extract and inject structured user information across turns.
`cross_session_observer.py`	Detect injected context messages whose origins differ from the current session, via the `Message.additional_properties["_attribution"]["origin_session_ids"]` field. Self-contained — no LLM credentials required.
`azure_ai_foundry_memory.py`	Use `FoundryMemoryProvider` to add semantic memory — automatically retrieves, searches, and stores memories via Microsoft Foundry.
`file_access_data_processing/`	Use `FileAccessProvider` with `FileSystemAgentFileStore` to give an agent read/write/search access to a folder of CSV data files. See its own README.
`azure_ai_search/`	Retrieval Augmented Generation (RAG) with Azure AI Search in semantic and agentic modes. See its own README.
`azure_content_understanding/`	Analyze documents, images, audio, and video with Azure Content Understanding and inject the extracted content into agent context.
`mem0/`	Memory-powered context using the Mem0 integration (open-source and managed). See its own README.
`redis/`	Redis-backed context providers for conversation memory and sessions. See its own README.

Prerequisites

For cross_session_observer.py:

No external dependencies; runs against in-memory SessionContext.

For simple_context_provider.py:

FOUNDRY_PROJECT_ENDPOINT: Your Microsoft Foundry project endpoint
FOUNDRY_MODEL: Model deployment name
Azure CLI authentication (az login)

For azure_ai_foundry_memory.py:

FOUNDRY_PROJECT_ENDPOINT: Your Microsoft Foundry project endpoint
FOUNDRY_MODEL: Chat/responses model deployment name
AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME: Embedding model deployment name (e.g., text-embedding-ada-002)
Azure CLI authentication (az login)

For file_access_data_processing/:

FOUNDRY_PROJECT_ENDPOINT: Your Microsoft Foundry project endpoint
FOUNDRY_MODEL: Chat model deployment name
Azure CLI authentication (az login)

See each subfolder's README for provider-specific prerequisites.