Python: Feature/azure ai search agentic rag (search as separate package) (#2328)

* Python: Fix pyright errors and move search provider to core (#1546)

* address pablo coments

* update azure ai search pypi version to latest prev

* init update

* Fix MyPy type annotation errors in search provider

- Add type annotation to DEFAULT_CONTEXT_PROMPT
- Add type annotation to vectorizable_fields
- Add union type annotation to vector_queries

* Fix DEFAULT_CONTEXT_PROMPT MyPy error and update test

- Rename DEFAULT_CONTEXT_PROMPT to _DEFAULT_SEARCH_CONTEXT_PROMPT to avoid conflict with base class Final variable
- Update test to use new constant name
- All core package tests passing (1123 passed)

* Python: Move Azure AI Search to separate package per PR feedback

Addresses reviewer feedback from PR #1546 by isolating the beta dependency
(azure-search-documents==11.7.0b2) into a new agent-framework-aisearch package.

Changes:
- Created new agent-framework-aisearch package with complete structure
- Moved AzureAISearchContextProvider from core to aisearch package
- Added AzureAISearchSettings class for environment variable auto-loading
- Added support for direct API key string (auto-converts to AzureKeyCredential)
- Added azure_openai_api_key parameter for Knowledge Base authentication
- Updated embedding_function type to Callable[[str], Awaitable[list[float]]]
- Moved Role import to top-level imports
- Maintained lazy loading through agent_framework.azure module
- Removed beta dependency from core package
- Updated all tests to use new package location
- All quality checks pass: ruff format/lint, pyright, mypy (0 errors)
- All 21 unit tests pass with 59% coverage

Semantic search mode verified working with both API key and managed identity authentication.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* Python: Clarify top_k parameter only applies to semantic mode

Updated documentation to clarify that the top_k parameter only affects
semantic search mode. In agentic mode, the server-side Knowledge Base
determines retrieval based on query complexity and reasoning effort.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* Python: Add Knowledge Base output mode and retrieval reasoning effort parameters

Added support for configurable Knowledge Base behavior in agentic mode:

- knowledge_base_output_mode: "extractive_data" (default) or "answer_synthesis"
  Some knowledge sources require answer_synthesis mode for proper functionality.

- retrieval_reasoning_effort: "minimal" (default), "medium", or "low"
  Controls query planning complexity and multi-hop reasoning depth.

These parameters give users fine-grained control over Knowledge Base behavior
and enable support for knowledge sources that require answer synthesis.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* effort and outputmode query params

* Address PR review feedback for Azure AI Search context provider

* comments eduward

* ed latest comments

---------

Co-authored-by: Farzad Sunavala <farzad.sunavala.enovate.ai>
Co-authored-by: farzad528 <farzad528@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>

python/packages/aisearch/pyproject.toml

@@ -0,0 +1,91 @@
+[project]
+name = "agent-framework-aisearch"
+description = "Azure AI Search integration for Microsoft Agent Framework."
+authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
+readme = "README.md"
+requires-python = ">=3.10"
+version = "1.0.0b251118"
+license-files = ["LICENSE"]
+urls.homepage = "https://aka.ms/agent-framework"
+urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
+urls.release_notes = "https://github.com/microsoft/agent-framework/releases?q=tag%3Apython-1&expanded=true"
+urls.issues = "https://github.com/microsoft/agent-framework/issues"
+classifiers = [
+  "License :: OSI Approved :: MIT License",
+  "Development Status :: 4 - Beta",
+  "Intended Audience :: Developers",
+  "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.10",
+  "Programming Language :: Python :: 3.11",
+  "Programming Language :: Python :: 3.12",
+  "Programming Language :: Python :: 3.13",
+  "Programming Language :: Python :: 3.14",
+  "Typing :: Typed",
+]
+dependencies = [
+    "agent-framework-core",
+    "azure-search-documents==11.7.0b2",
+]
+
+[tool.uv]
+prerelease = "if-necessary-or-explicit"
+environments = [
+    "sys_platform == 'darwin'",
+    "sys_platform == 'linux'",
+    "sys_platform == 'win32'"
+]
+
+[tool.uv-dynamic-versioning]
+fallback-version = "0.0.0"
+
+[tool.pytest.ini_options]
+testpaths = 'tests'
+addopts = "-ra -q -r fEX"
+asyncio_mode = "auto"
+asyncio_default_fixture_loop_scope = "function"
+filterwarnings = [
+    "ignore:Support for class-based `config` is deprecated:DeprecationWarning:pydantic.*"
+]
+timeout = 120
+
+[tool.ruff]
+extend = "../../pyproject.toml"
+exclude = ["examples"]
+
+[tool.coverage.run]
+omit = [
+    "**/__init__.py"
+]
+
+[tool.pyright]
+extends = "../../pyproject.toml"
+exclude = ['tests']
+
+[tool.mypy]
+plugins = ['pydantic.mypy']
+strict = true
+python_version = "3.10"
+ignore_missing_imports = true
+disallow_untyped_defs = true
+no_implicit_optional = true
+check_untyped_defs = true
+warn_return_any = true
+show_error_codes = true
+warn_unused_ignores = false
+disallow_incomplete_defs = true
+disallow_untyped_decorators = true
+
+[tool.bandit]
+targets = ["agent_framework_aisearch"]
+exclude_dirs = ["tests"]
+
+[tool.poe]
+executor.type = "uv"
+include = "../../shared_tasks.toml"
+[tool.poe.tasks]
+mypy = "mypy --config-file $POE_ROOT/pyproject.toml agent_framework_aisearch"
+test = "pytest --cov=agent_framework_aisearch --cov-report=term-missing:skip-covered tests"
+
+[build-system]
+requires = ["flit-core >= 3.11,<4.0"]
+build-backend = "flit_core.buildapi"