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
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__init__.py	chore: normalize frozenset literals and myscale typing (#34327)	2026-03-31 08:21:22 +00:00
languages.py	feat: support nl-NL language (#32216)	2026-02-11 10:42:13 +08:00
mimetypes.py	feat(api): Add image multimodal support for LLMNode (#17372)	2025-04-30 17:28:02 +08:00
model_template.py	feat(api): add Agent V2 node and new Agent app type (Phase 1-3)	2026-04-08 12:31:23 +08:00
pipeline_templates.json	fix: add missing pipeline_templates (#31528)	2026-03-01 17:33:04 +08:00
recommended_apps.json	Fix variable typo (#8084)	2024-09-08 13:14:11 +08:00
tts_auto_play_timeout.py	feat:add tts-streaming config and future (#5492)	2024-07-09 11:33:58 +08:00