- Renamed `build_skill_artifact_set` to `build_skill_bundle` for improved clarity in asset management.
- Updated references in `SkillManager` to reflect the new method name and ensure consistent handling of skill bundles.
- Added `AppAssetsAttrsInitializer` to `SandboxManager` to enhance asset initialization processes.
- Implemented output truncation in `SandboxBashTool` to manage long command outputs effectively.
- Introduced AppBundleService for managing app bundle publishing and importing, integrating workflow and asset services.
- Added methods for exporting app bundles as ZIP files, including DSL and asset management.
- Implemented source zip extraction and validation to enhance asset import processes.
- Refactored asset packaging to utilize AssetZipPackager for improved performance and organization.
- Enhanced error handling for bundle format and security during import operations.
- Replaced SkillArtifactSet with SkillBundle across various components, enhancing the organization of skill dependencies and references.
- Updated SkillManager methods to load and save bundles instead of artifacts, improving clarity in asset management.
- Refactored SkillCompiler to compile skills into bundles, streamlining the dependency resolution process.
- Adjusted DifyCli and SandboxBashSession to utilize ToolDependencies, ensuring consistent handling of tool references.
- Introduced AssetReferences for better management of file dependencies within skill bundles.
- 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.
- Introduced SandboxManager.delete_storage method for improved storage management.
- Refactored skill loading and tool artifact handling in DifyCliInitializer and SandboxBashSession.
- Updated LLMNode to extract and compile tool artifacts, enhancing integration with skills.
- Improved attribute management in AttrMap for better error handling and retrieval methods.
- Added AttrMap and AttrKey classes for type-safe attribute storage.
- Implemented AppAssetsAttrs and SkillAttrs for managing application and skill attributes.
- Refactored Sandbox and initializers to utilize the new attribute management system, enhancing modularity and clarity in asset handling.
- Introduced threading for loading skills and uploading compiled content to improve performance.
- Added data classes for better structure and clarity in handling loaded and compiled skills.
- Refactored the skill compilation process to separate loading and uploading, enhancing maintainability.
- Changed the command timeout duration from 60 seconds to 1 hour for improved session stability.
- Refactored session cleanup logic to utilize the CLI API session object instead of session ID, enhancing clarity and maintainability.
- Added a keepalive thread to maintain the E2B sandbox timeout, preventing premature termination.
- Introduced a stop event to manage the lifecycle of the keepalive thread.
- Refactored the sandbox initialization to include the new keepalive functionality.
- Enhanced logging to capture failures in refreshing the sandbox timeout.
- Moved sandbox-related classes and functions into a dedicated module for better organization.
- Updated the sandbox initialization process to streamline asset management and environment setup.
- Removed deprecated constants and refactored related code to utilize new sandbox entities.
- Enhanced the workflow context to support sandbox integration, allowing for improved state management during execution.
- Adjusted various components to utilize the new sandbox structure, ensuring compatibility across the application.
- Introduced DraftAppAssetsInitializer for handling draft assets.
- Updated SandboxLayer to conditionally set sandbox ID and storage based on workflow version.
- Improved asset initialization logging and error handling.
- Refactored ArchiveSandboxStorage to support exclusion patterns during archiving.
- Modified command and LLM nodes to retrieve sandbox from workflow context, supporting draft workflows.
- Added DIFY_CLI_ROOT constant for the root directory of Dify CLI.
- Updated DIFY_CLI_PATH and DIFY_CLI_CONFIG_PATH to use absolute paths.
- Modified app asset initialization to create directories under DIFY_CLI_ROOT.
- Enhanced Docker and E2B environment file handling to use workspace paths.
- Introduce _app_id attribute to store application ID from system variables
- Add _get_app_id method to retrieve and validate app_id
- Update on_graph_start to log app_id during sandbox initialization
- Integrate ArchiveSandboxStorage for persisting and restoring sandbox files
- Ensure proper error handling for sandbox file operations
- Add AppAssetsInitializer to load published app assets into sandbox
- Refactor VMFactory.create() to VMBuilder with builder pattern
- Extract SandboxInitializer base class and DifyCliInitializer
- Simplify SandboxLayer constructor (remove options/environments params)
- Fix circular import in sandbox module by removing eager SandboxBashTool export
- Update SandboxProviderService to return VMBuilder instead of VirtualEnvironment
- Add helpers.py with connection management utilities:
- with_connection: context manager for connection lifecycle
- submit_command: execute command and return CommandFuture
- execute: run command with auto connection, raise on failure
- try_execute: run command with auto connection, return result
- Add CommandExecutionError to exec.py for typed error handling
with access to exit_code, stderr, and full result
- Remove run_command method from VirtualEnvironment base class
(now available as submit_command helper)
- Update all call sites to use new helper functions:
- sandbox/session.py
- sandbox/storage/archive_storage.py
- sandbox/bash/bash_tool.py
- workflow/nodes/command/node.py
- Add comprehensive unit tests for helpers with connection reuse
