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Eduard van Valkenburg dc9439a75a Python: [BREAKING] Fix #3613 chat/agent message typing alignment (#3920 )

* Fix #3613 message typing across chat and agents

* Address #3613 review feedback and sample input style

* refactor: use shared AgentRunMessages aliases (#3613)

* refactor: rename agent run input aliases for #3613

* samples: inline image content in run calls

* core: export AgentRunInputs from package init

* core: use explicit init re-exports without __all__

* updated logging and inits

* Fix core mypy export and samples XML note

* Remove AgentRunInputsOrNone and dedupe loggers

* Remove prepare_messages helper

* fix integration tests

dc9439a75a · 2026-02-16 15:27:25 +00:00

History

agent_framework_azure_ai_search

Python: [BREAKING] Fix #3613 chat/agent message typing alignment (#3920 )

2026-02-16 15:27:25 +00:00

tests

Python: [BREAKING] PR2 — Wire context provider pipeline, remove old types, update all consumers (#3850 )

2026-02-12 21:00:32 +00:00

AGENTS.md

Python: [BREAKING] Simplify API: ChatAgent -> Agent, ChatMessage -> Message (#3747 )

2026-02-10 23:04:32 +00:00

LICENSE

Python: renamed ai search and cleanup of samples and unified import logic (#2369 )

2025-11-24 17:06:22 +00:00

pyproject.toml

update package versions (#3902 )

2026-02-13 00:00:57 +00:00

README.md

Python: restructure: Python samples into progressive 01-05 layout (#3862 )

2026-02-12 17:36:36 +00:00

README.md

Get Started with Microsoft Agent Framework Azure AI Search

Please install this package via pip:

pip install agent-framework-azure-ai-search --pre

Azure AI Search Integration

The Azure AI Search integration provides context providers for RAG (Retrieval Augmented Generation) capabilities with two modes:

Semantic Mode: Fast hybrid search (vector + keyword) with semantic ranking
Agentic Mode: Multi-hop reasoning using Knowledge Bases for complex queries

Basic Usage Example

See the Azure AI Search context provider examples which demonstrate:

Semantic search with hybrid (vector + keyword) queries
Agentic mode with Knowledge Bases for complex multi-hop reasoning
Environment variable configuration with Settings class
API key and managed identity authentication