Giles Odigwe
e39a8a2e79
* Bump Python package versions for 1.13.0 release Bump all 37 Python package projects because the CHANGELOG-driven release includes cross-package feature-usage telemetry, with core and root advancing to 1.13.0, OpenAI to 1.12.0, patch bumps for other stable packages, and 260730 stamps for alpha and beta packages. No optional beta cohort bump was applied; every prerelease package changed. Raise core floors conservatively across co-released packages. Copilot-Session: e234a28b-c2fd-4ff4-a51d-3d8917936541 * Align co-released Python package dependencies Update the four hosting adapter pins to the co-released agent-framework-hosting alpha and raise the Azure Functions Durable Task floor to the co-released beta. Copilot-Session: e234a28b-c2fd-4ff4-a51d-3d8917936541 * Minimize Python release lockfile updates Regenerate uv.lock with the pre-commit hook pinned uv version so the release changes only workspace package versions while preserving platform markers and agentlightning 0.3.0. Copilot-Session: e234a28b-c2fd-4ff4-a51d-3d8917936541 --------- Copilot-Session: e234a28b-c2fd-4ff4-a51d-3d8917936541
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
API versions: stable vs preview
The integration auto-detects which build of azure-search-documents is installed — there is
nothing to configure in code:
| Channel | Install | Data-plane api-version (chosen by the SDK) |
|---|---|---|
| Stable | pip install azure-search-documents (>=12.0.0) |
2026-04-01 |
| Preview | pip install --pre azure-search-documents (e.g. 12.1.0b1) |
2026-05-01-preview |
The provider never pins an api-version; the installed build selects its own, so newer
releases work without code changes.
Agentic output modes (answer_synthesis) and extended reasoning effort (low/medium)
ship only in the preview build. When a stable build is installed, the provider uses extractive
output with minimal reasoning effort and raises an actionable error if a preview-only option is
explicitly requested. Switching channels is a single change — the install — with no code edits.
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