2 Commits

Author	SHA1	Message	Date
Yansong Zhang	3d4be88d97	fix(api): remove unsupported 'user' param from FC/ReAct invoke_llm calls ... FunctionCallStrategy and ReActStrategy were passing user=self.context.user_id to ModelInstance.invoke_llm() which doesn't accept that parameter. This caused tool-using agent runs to fail with: "ModelInstance.invoke_llm() got an unexpected keyword argument 'user'" Verified: Agent V2 with current_time tool now works end-to-end: ROUND 1: LLM thought -> CALL current_time -> got time ROUND 2: LLM generates answer with time info Made-with: Cursor	2026-04-09 12:18:07 +08:00
Yansong Zhang	96641a93f6	feat(api): add Agent V2 node and new Agent app type (Phase 1-3) ... Introduce a new unified Agent V2 workflow node that combines LLM capabilities with agent tool-calling loops, along with a new AppMode.AGENT for standalone agent apps backed by single-node workflows. Phase 1 — Agent Patterns: - Add core/agent/patterns/ module (AgentPattern, FunctionCallStrategy, ReActStrategy, StrategyFactory) ported from feat/support-agent-sandbox - Add ExecutionContext, AgentLog, AgentResult entities - Add Tool.to_prompt_message_tool() for LLM-consumable tool conversion Phase 2 — Agent V2 Workflow Node: - Add core/workflow/nodes/agent_v2/ (AgentV2Node, AgentV2NodeData, AgentV2ToolManager, AgentV2EventAdapter) - Register agent-v2 node type in DifyNodeFactory - No-tools path: single LLM call (LLM Node equivalent) - Tools path: FC/ReAct loop via StrategyFactory Phase 3 — Agent App Type: - Add AppMode.AGENT to model enum - Add WorkflowGraphFactory for auto-generating start->agent_v2->answer graphs - AppService.create_app() creates workflow draft for AGENT mode - AppGenerateService.generate() routes AGENT to AdvancedChatAppGenerator - Console API and DSL import/export support AGENT mode - Default app template for AGENT mode Old agent/agent-chat/LLM node paths are fully preserved. 38 unit tests all passing. Made-with: Cursor	2026-04-08 12:31:23 +08:00