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chore: import upstream snapshot with attribution
2026-07-13 13:39:25 +08:00

1.9 KiB

Azure AI Search Package (agent-framework-azure-ai-search)

Integration with Azure AI Search for RAG (Retrieval-Augmented Generation).

Main Classes

  • AzureAISearchContextProvider - Context provider that retrieves relevant documents from Azure AI Search
  • AzureAISearchSettings - Pydantic settings for Azure AI Search configuration

API versions: stable vs preview

The package depends on azure-search-documents>=12.0.0,<13, which spans both channels, and auto-detects which build is installed — there is no api_version parameter:

Channel Install SDK Data-plane api-version (chosen by the SDK)
Stable / GA pip install azure-search-documents 12.0.0 2026-04-01
Preview pip install --pre azure-search-documents 12.1.0b1 2026-05-01-preview

The provider never pins an api-version; the installed build picks its own default, so newer releases work without code changes (single source of truth = the install).

Capability gating keys off _preview_agentic_features_available — whether the preview build's agentic symbols (KnowledgeRetrieval{Low,Medium}ReasoningEffort, KnowledgeRetrievalOutputMode) can be imported. Agentic output mode (answer_synthesis) and extended reasoning effort (low/medium) ship only in the preview build; on a stable build the provider omits them (extractive + minimal) and raises an actionable ValueError (citing the installed version) if they are explicitly requested. Semantic mode is unaffected.

Usage

from agent_framework.azure import AzureAISearchContextProvider

provider = AzureAISearchContextProvider(
    endpoint="https://your-search.search.windows.net",
    index_name="your-index",
)
agent = Agent(..., context_provider=provider)

Import Path

from agent_framework.azure import AzureAISearchContextProvider
# or directly:
from agent_framework_azure_ai_search import AzureAISearchContextProvider