Yansong Zhang 96374d7f6a refactor(api): replace legacy agent runners with StrategyFactory in AgentChatAppRunner (Phase 4) ... Replace the hardcoded FunctionCallAgentRunner / CotChatAgentRunner / CotCompletionAgentRunner selection in AgentChatAppRunner with the new AgentAppRunner class that uses StrategyFactory from Phase 1. Before: AgentChatAppRunner manually selects FC/CoT runner class based on model features and LLM mode, then instantiates it directly. After: AgentChatAppRunner instantiates AgentAppRunner (from sandbox branch), which internally uses StrategyFactory.create_strategy() to auto-select the right strategy, and uses ToolInvokeHook for proper agent_invoke with file handling and thought persistence. This unifies the agent execution engine: both the new Agent V2 workflow node and the legacy agent-chat app now use the same StrategyFactory and AgentPattern implementations. Also fix: command and file_upload nodes use string node_type instead of BuiltinNodeTypes.COMMAND/FILE_UPLOAD (not in current graphon version). 46 tests pass. Flask starts successfully. Made-with: Cursor		2026-04-09 09:42:23 +08:00
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__init__.py	feat(api): enable all sandbox/skill controller routes and resolve dependencies (P0)	2026-04-09 09:36:16 +08:00
entities.py	feat(api): enable all sandbox/skill controller routes and resolve dependencies (P0)	2026-04-09 09:36:16 +08:00
exc.py	feat(api): enable all sandbox/skill controller routes and resolve dependencies (P0)	2026-04-09 09:36:16 +08:00
node.py	refactor(api): replace legacy agent runners with StrategyFactory in AgentChatAppRunner (Phase 4)	2026-04-09 09:42:23 +08:00