chore: update binary files and refactor LLMNode skill compilation

- Updated binary files for Dify CLI on various platforms (darwin amd64, darwin arm64, linux amd64, linux arm64).
- Refactored skill compilation in LLMNode to improve clarity and maintainability by explicitly naming parameters and incorporating AppAssets for base path management.
- Minor fix in AppAssetFileTree to remove unnecessary leading slash in path construction.

api/core/app/entities/app_asset_entities.py

@@ -107,7 +107,7 @@ class AppAssetFileTree(BaseModel):
         while current:
             parts.append(current.name)
             current = self.get(current.parent_id) if current.parent_id else None
-        return "/" + "/".join(reversed(parts))
+        return "/".join(reversed(parts))
 
     def relative_path(self, a: AppAssetNode, b: AppAssetNode) -> str:
         """

api/core/sandbox/manager.py

@@ -135,6 +135,7 @@ class SandboxManager:
 
     @classmethod
     def delete_storage(cls, tenant_id: str, user_id: str) -> None:
+        # FIXME(Mairuis): move to SandboxArtifactService
         storage = ArchiveSandboxStorage(tenant_id, SandboxBuilder.draft_id(user_id))
         storage.delete()
 

api/core/workflow/nodes/llm/node.py

@@ -55,6 +55,7 @@ from core.prompt.utils.prompt_message_util import PromptMessageUtil
 from core.rag.entities.citation_metadata import RetrievalSourceMetadata
 from core.sandbox import Sandbox
 from core.sandbox.bash.session import SandboxBashSession
+from core.sandbox.entities.config import AppAssets
 from core.skill.constants import SkillAttrs
 from core.skill.entities.skill_artifact_set import SkillArtifactSet
 from core.skill.entities.skill_document import SkillDocument
@@ -1509,9 +1510,10 @@ class LLMNode(Node[LLMNodeData]):
                 # Compile skill references after jinja2 rendering
                 if artifact_set is not None and file_tree is not None:
                     skill_artifact = SkillCompiler().compile_one(
-                        artifact_set,
-                        SkillDocument(skill_id="anonymous", content=result_text, metadata={}),
-                        file_tree,
+                        artifact_set=artifact_set,
+                        document=SkillDocument(skill_id="anonymous", content=result_text, metadata={}),
+                        file_tree=file_tree,
+                        base_path=AppAssets.PATH,
                     )
                     result_text = skill_artifact.content
 
@@ -1551,9 +1553,10 @@ class LLMNode(Node[LLMNodeData]):
                 # Compile skill references after context and variable substitution
                 if plain_text and artifact_set is not None and file_tree is not None:
                     skill_artifact = SkillCompiler().compile_one(
-                        artifact_set,
-                        SkillDocument(skill_id="anonymous", content=plain_text, metadata={}),
-                        file_tree,
+                        artifact_set=artifact_set,
+                        document=SkillDocument(skill_id="anonymous", content=plain_text, metadata={}),
+                        file_tree=file_tree,
+                        base_path=AppAssets.PATH,
                     )
                     plain_text = skill_artifact.content
 
@@ -1823,7 +1826,10 @@ class LLMNode(Node[LLMNodeData]):
         for prompt in self.node_data.prompt_template:
             if isinstance(prompt, LLMNodeChatModelMessage):
                 skill_artifact = SkillCompiler().compile_one(
-                    artifact_set, SkillDocument(skill_id="anonymous", content=prompt.text, metadata={}), file_tree
+                    artifact_set=artifact_set,
+                    document=SkillDocument(skill_id="anonymous", content=prompt.text, metadata={}),
+                    file_tree=file_tree,
+                    base_path=AppAssets.PATH,
                 )
                 tool_artifacts.append(skill_artifact.tools)