Migrate from semantic-kernel to agent-framework

fix: Dev v3 to main

Added agent-framework-core, agent-framework-azure-ai, agent-framework-copilotstudio, agent-framework-devui, agent-framework-mem0, and agent-framework-redis as dependencies from the Microsoft agent-framework repository. Updated azure-ai-agents to version 1.2.0b5 and upgraded aiohttp to 3.13.1.

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Replaced references to agent_framework with semantic_kernel in app_config.py and utils_kernel.py. Updated models in messages_kernel.py to use KernelBaseModel and Field from semantic_kernel.kernel_pydantic for consistency with the new package structure.

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Deleted the websocket_streaming.py module and removed the create_kernel method from AppConfig, as the system now uses Azure AI Agent Project pattern. Added placeholder files for messages_af.py and utils_af.py to support future Azure Foundry integration.

fix:  dev-v3 to main branch merge

Introduces new Pydantic-based data models in messages_af.py to replace KernelBaseModel from semantic_kernel. All original model names and structures are preserved to support incremental migration from the previous framework.

Deleted src/backend/common/utils/check_deployments.py as it is no longer needed. This script was used to check Azure AI Foundry model deployments and their statuses.

Introduces the main FastAPI router for agent framework v3, including endpoints for team management, plan creation, approval, agent messaging, and configuration upload. Adds callback handlers for agent responses and streaming, global debug access, and service skeletons for agents, base API, foundry, MCP, and team management. These files establish the backend structure for multi-agent orchestration and extensible service integration.

Introduces common lifecycle management for agents, new agent configuration models, and refactors ProxyAgent and ReasoningAgentTemplate to use agent_framework primitives. Removes Semantic Kernel dependencies, adds Azure AI Search integration, and streamlines agent creation and invocation logic for improved maintainability and extensibility.

Updated import paths from 'v3' to 'af' for consistency and modularity. Improved error handling, logging, and tool/resource collection logic in FoundryAgentTemplate. Cleaned up unused Bing references and clarified code interpreter and MCP tool handling. These changes enhance maintainability and agent lifecycle management.

Changed imports from 'agent_framework.azure' to 'agent_framework_azure_ai' for AzureAIAgentClient in foundry_agent.py and reasoning_agent.py. Also removed an unused import in lifecycle.py to clean up dependencies.

Migrates orchestration logic and related services from semantic-kernel (v3) to agent_framework, updating imports, manager classes, and workflow construction. Updates HumanApprovalMagenticManager and OrchestrationManager to use agent_framework APIs, adapts callback handling, and ensures compatibility with new message and agent structures. Cleans up legacy code and improves maintainability for future agent_framework-based enhancements.

fix: Macae rfp af 101725

Deleted the entire v3 API router, callbacks, and common service modules including agent, base API, foundry, and MCP services, as well as related configuration, models, and orchestration files. This change removes the v3 backend implementation, likely in preparation for a major refactor or migration.

Renamed src/backend/app_kernel.py to src/backend/app.py. Updated import paths to reference 'af' modules instead of 'v3' and 'messages_af' instead of 'messages_kernel' to reflect new module structure.

Updated Dockerfiles, app.py, and tests to reference 'app' instead of 'app_kernel'. This change standardizes the application entry point and module imports, improving consistency across the backend codebase.

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