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.

Macae rfp af 101725

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.

Macae rfp af 101725

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.

Macae rfp af 101725

Replaced references to deprecated Semantic Kernel and v3 modules with agent_framework (af) equivalents throughout backend, database, and test files. Removed obsolete messages_kernel and utils_kernel files, updated import paths, and fixed minor typos. Updated documentation and README to reflect new entry points and usage.

Replaced Semantic Kernel dependencies and terminology with agent_framework equivalents across backend modules, including response handlers, configuration, agent factories, orchestration, and utility functions. Updated imports, class names, comments, and logic to reflect agent_framework usage. Adjusted test files and MCP authentication to use agent_framework constructs. This refactor enables the system to operate with agent_framework as the core agent orchestration and messaging library.

Macae rfp af 101725

Deleted src/mcp_server/auth.py, which contained MCP authentication and HostedMCPTool setup logic for the employee onboarding system. This change may indicate a refactor, deprecation, or migration of authentication and plugin management functionality.

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Deleted 01_create_agents.py, which contained logic for creating product, policy, and chat agents using Azure AI Project. This may indicate a refactor, migration, or deprecation of the agent creation workflow.

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Marktayl macae rfp agent framework

Introduces the RFP analysis team configuration JSON and adds supporting PDF documents for compliance guidelines, security risk guidelines, and the Woodgrove Bank RFP response. These resources enable automated summarization, risk assessment, and compliance checking for RFP and contract analysis workflows.

Add RFP analysis team config and related documents

Changed the 'index_name' field from 'rfp-index' to 'macae-rfp-index' for all agents in rfp_analysis_team.json to reflect the new index being used.

Bump multiple agent-framework and related package versions to 1.0.0b251108 and update a2a-sdk and ag-ui-protocol versions. This ensures the backend uses the latest releases and dependency hashes for improved stability and new features.

Eliminates the ReasoningSearch module and all related search augmentation logic from ReasoningAgentTemplate. This simplifies the agent by removing Azure AI Search dependencies and associated resource management.

Removed unused API key references and improved connection resolution logic for Azure AI Search. SearchConfig now requires index_name as an argument and no longer uses api_key. Updated agent factory and foundry agent to align with these changes and simplified query type handling.

Update index_name for RFP analysis team agents

Adds a method to reset the Magentic workflow context before orchestration runs, ensuring chat history is cleared for each new task. Updates PlanPage to disconnect the WebSocket when cancelling a plan or after agent message processing. Removes unused subscribe/unsubscribe methods from WebSocketService and adds a disconnect log for better traceability.

Deleted the _reset_workflow_context method from OrchestrationManager and its invocation, as it is no longer used. Also updated references from event.agent_id to event.executor_id for consistency in event handling.

Replaces 'executor_id' with 'agent_id' in orchestration_manager event handling for clarity and consistency. Removes redundant clarification prefix in proxy_agent, now passing message text directly. Adds comments to improve code readability.

Removed iter_original_agents and inlined agent/orchestrator state clearing directly in the run method. Now handles clearing of _conversation for orchestrator and _chat_history for agents, with improved logging and error handling.

Macae rfp af 101725

fix: Add Delete icon in team selector.

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Divide retail data - index team configs

Introduces InMemoryCheckpointStorage to enable checkpointing in the Magentic workflow. Cleans up outdated comments referencing previous orchestration setups and updates workflow execution to include thread_id for better tracking.

Add checkpointing to orchestration workflow

Added 'pass' statements to all abstract methods in DatabaseBase to ensure method bodies are syntactically complete. Also clarified and corrected some docstrings for consistency and accuracy.

Add explicit pass statements to abstract methods