- Introduced Weixin integration support with new configuration options for WeChat iLink Bot.
- Updated existing adapters (DingTalk, Discord, Feishu, Telegram) to include sender_id and app_id in message metadata for improved context handling.
- Enhanced dispatcher logic to accommodate the new Weixin adapter and ensure proper initialization and shutdown processes.
- Improved message handling across integrations to support typing indicators, providing a more interactive user experience.
- Replaced direct database insertion with a structured approach using ExecutionStore for better maintainability.
- Updated time parsing logic to handle both timezone-aware and local time formats, improving robustness.
- Enhanced the insertWatcherExec function to utilize the new execution record structure, ensuring consistency in execution data handling.
- Added GetManager function to retrieve the global manager instance, returning nil if not started.
- Introduced ExecRecovered event to notify about recovered non-terminal executions during manager startup.
- Updated execution store to support querying by multiple statuses with ListByStatuses method.
- Enhanced integration tests to accommodate longer tick intervals and added sleep delays for stability.
- Improved cleanup logic in integration tests to prevent interference from previous execution records.
- Renamed ListRobots function to ListAllRobots for clarity and consistency across the codebase.
- Updated related API endpoints and tests to reflect the new function name.
- Improved caching logic to ensure both autonomous and non-autonomous robots are loaded correctly.
- Enhanced filtering and pagination capabilities within the ListAllRobots function.
- Added new test cases to validate the updated functionality and ensure robust performance.
- Removed the RegisterProxyConfigs function and its related logic from the sandbox initialization, simplifying the setup process.
- Updated the GetComputer function to handle connector configuration injection directly within the ClaudeRunner.Stream method, ensuring a more cohesive approach to configuration management.
- Introduced a new injectA2OConfig function to push connector configurations to the a2o proxy, enhancing flexibility and error handling.
- Improved logging for connector configuration injection to provide better traceability during execution.
- Introduced a new sandboxV2StreamParams struct to group parameters for the executeSandboxV2Stream function, improving code clarity and maintainability.
- Updated the GetComputer function to handle connector configuration injection via the a2o proxy, removing the need for direct connector parameters.
- Enhanced the executeSandboxV2Stream function to utilize the new parameters struct, simplifying the function signature and improving readability.
- Implemented RegisterProxyConfigs to inject OpenAI-compatible connector configurations into the a2o proxy, ensuring proper environment setup for sandbox execution.
- Refactored BuildCreateOptions to remove direct connector handling, aligning with the new configuration injection approach.
- Added detailed trace logging in the Assistant's Stream function to capture computer and workspace information.
- Replaced fmt.Printf statements with kunlog.Trace in the Telegram polling adapter for consistent logging.
- Updated sandbox lifecycle management functions to utilize kunlog for logging workspace and node resolution details.
- Enhanced error handling in the Claude parser with trace logging for JSON unmarshal and scanner errors.
- Improved file handling logging in the workspace API to provide clearer insights into file read operations.
- Updated the BuildIdentifier function to use the ownerID as a fallback for workspaceID, improving identifier generation consistency.
- Enhanced ResolveNodeID to auto-select nodes based on filters and added detailed logging for better traceability.
- Modified GetComputer to include improved logging and streamlined node resolution logic.
- Introduced StringOrArray type for flexible handling of computer filter parameters in the SandboxConfig.
- Enriched workspace response structure to include detailed node information, enhancing API response clarity.
- Implemented default workspace ID generation based on owner and node, ensuring consistent workspace identification.
- Added locale support in CreateOptions for better internationalization.
- Added assertions to ensure the presence and order of `set -e` and `set +e` in the generated bash script when a system prompt is included.
- Updated the test for the scenario without a prompt to confirm that `set -e` is not present, ensuring correct script behavior.
- Improved documentation in the `buildBashScript` function to clarify the use of `set -e` for error handling during script execution.
- Added support for "execute" message type to track tool execution observations within the sandbox environment.
- Implemented handling for execute messages in the stream processing, allowing for real-time updates on tool execution status.
- Enhanced the stream parser to manage the lifecycle of execute messages, including merging input and output data.
- Updated the stream handler to accommodate new message types, improving overall message processing capabilities.
- Refactored related tests to ensure coverage for the new execute message functionality, enhancing reliability.
- Updated the sandbox initialization to resolve both the assistant directory and skills subdirectory, improving directory management.
- Modified the RunPrepareSteps function signature to include an assistantDir parameter, allowing for better handling of file copy operations.
- Adjusted all relevant calls to RunPrepareSteps across the codebase to accommodate the new parameter, ensuring consistency in execution.
- Enhanced test cases to reflect the updated function signature, improving coverage and reliability of the sandbox preparation process.
- Replaced the previous file extension checks with a unified parsing function for sandbox configuration, improving code clarity and maintainability.
- Introduced a new HostExecConfig structure to manage local execution settings, allowing for more granular control over command execution permissions.
- Removed deprecated Moapi API files and related functionality, simplifying the codebase and reducing maintenance overhead.
- Updated the Tai node registration process to ensure local capabilities are accurately reflected based on the environment, enhancing overall system robustness.
- Improved the PowerShell script for killing processes on Windows to ensure child processes are also terminated.
- Introduced a sentinel error for stream completion, allowing for better handling of normal stream terminations.
- Updated the parsing function to close stdout on context cancellation, preventing indefinite blocking on read errors.
- Enhanced logging to provide clearer feedback on stream completion and process management during execution.
- Added UTF-8 encoding settings for input and output streams to prevent JSON corruption on CJK Windows.
- Implemented a search for common installation paths of claude.exe across user profiles to ensure accessibility when running as a different user.
- Updated logging in the Stream function to include the working directory for better context during execution.
- Updated the Makefile and GitHub workflows to include entitlements during the codesigning process for macOS applications, improving security and compliance.
- Added timestamp and runtime options to the codesigning commands, ensuring better handling of application signatures.
- Refactored the signing logic to maintain consistency across different build targets, enhancing the overall release process.
- Changed token generation from "sandbox:mcp" to "grpc:mcp" for both access and refresh tokens, aligning with updated service requirements.
- Enhanced ClaudeRunner to copy skills from the specified directory to the ".claude/skills" path, improving skill management.
- Updated MCP configuration file path to ".claude/mcp.json" for better organization and consistency in file handling.
- Added error logging for skill copying and exit code handling in stream execution, enhancing debugging capabilities.
Made-with: Cursor
- Modified Docker run commands in CI workflows to include the `-direct` flag for enhanced server operation.
- Removed outdated loading status message during sandbox preparation and added new messages for improved user feedback.
- Introduced a loading message for waiting on AI responses, enhancing the user experience during sandbox execution.
- Refactored identity handling in stream processing to streamline message management.
Made-with: Cursor
- Updated Docker run commands in CI workflows to include the `-direct` flag for improved server operation.
- Implemented image existence checks and automatic pulling for sandbox environments, enhancing reliability during initialization.
- Added loading status updates for sandbox operations, providing better feedback during the setup process.
- Refactored lifecycle management to ensure accurate tracking of sandbox states and improved error handling.
Made-with: Cursor
- Updated BuildIdentifier to include assistant ID in session identifiers for better uniqueness.
- Implemented automatic starting of stopped boxes in resolveBox, improving recovery processes.
- Introduced status management for boxes, allowing for accurate tracking of their state (running, exited, stopped).
- Added idle timeout defaults based on lifecycle policy in BuildCreateOptions, enhancing configuration flexibility.
- Refactored tests to validate new box status behavior and lifecycle management improvements.
Made-with: Cursor
- Introduced a human-readable display name for the sandbox, constructed from the agent and workspace names.
- Updated the BuildIdentifier function to include workspace ID in identifiers for long-running and persistent lifecycles.
- Modified sandbox creation options to incorporate the display name, improving clarity in sandbox management.
- Refactored related tests to ensure compatibility with the new identifier structure and display name integration.
Made-with: Cursor
- Added support for issuing and passing a sandbox token during stream execution in the Assistant.
- Updated StreamRequest to include a Token field for managing user authentication.
- Enhanced ClaudeRunner to set environment variables for the sandbox token and refresh token.
- Refactored SandboxToken structure to clarify its purpose and manage token credentials effectively.
- Modified sandbox management routes to enforce OAuth guard for improved security.
Made-with: Cursor
- Implemented a new endpoint to retrieve the absolute path of a workspace's root directory.
- Enhanced the workspace interface with a GetRoot method to facilitate this functionality.
- Updated the workspace manager to utilize the new method for improved path resolution.
Made-with: Cursor
- Updated the AssistantInfo struct to include new fields: Connector, ConnectorOptions, Modes, DefaultMode, Sandbox, and ComputerFilter for improved assistant configuration.
- Enhanced the loading process to extract Sandbox flag and ComputerFilter from V2 sandbox configuration.
- Refactored GetInfo method to return comprehensive assistant details for better UI integration.
- Introduced new endpoint for workspace options to streamline InputArea selector functionality.
Made-with: Cursor
- Refactored the sandbox initialization process to resolve the connector before obtaining the Computer, allowing for the injection of OPENAI_PROXY_* environment variables.
- Updated the GetComputer and BuildCreateOptions functions to accept an optional connector parameter for improved environment variable management.
- Standardized the VNC configuration by replacing SANDBOX_VNC_ENABLED with VNC_ENABLED across Dockerfiles and related scripts for consistency.
- Enhanced the VNC service startup script to check the new VNC_ENABLED variable, ensuring proper service initialization.
Made-with: Cursor
- Updated the registration process to utilize NodeID instead of TaiID, allowing for server-generated TaiIDs.
- Implemented additional fields in the registration request, including DisplayName and improved error handling for missing parameters.
- Enhanced the connection logic for registered nodes, ensuring proper client binding and logging for better traceability.
- Introduced new methods for extracting and managing extra claims in OAuth tokens, improving the flexibility of user identification.
Made-with: Cursor
- Implemented V2 sandbox initialization in the assistant loading process, allowing for standalone sandbox.yao configuration.
- Added support for V2 sandbox execution paths in the Assistant's Stream method, differentiating between V1 and V2 sandboxes.
- Introduced comprehensive tests for V2 sandbox configurations, ensuring correct loading and execution behavior.
- Updated the context and types to accommodate V2 sandbox features, including system information and workspace management.
Made-with: Cursor
- Refactor GPT-5 test cases to improve clarity and maintainability.
- Comment out tests for temperature handling in GPT-5, indicating they are temporarily disabled.
- Remove the obsolete hostexec test file to clean up the codebase.
- Enhance the sandbox manager to support host execution capabilities and improve lifecycle management.
Made-with: Cursor
The bubbletea-based TUI for agent request visualization was not
practical and added significant binary size. This removes the TUI
entirely: the --tui flag, the agent context TUI model/messages, and
all SendTUI/GetTUIProgram call sites. Development-mode logging now
always prints ANSI-colored output to stdout.
Drops direct dependencies on charmbracelet/bubbletea and lipgloss.
Made-with: Cursor
- Add gRPC server configuration to the application, allowing for gRPC communication.
- Introduce new Makefile targets for gRPC unit testing and proto code generation.
- Update CI workflows to include gRPC tests with SQLite as the transport layer.
- Refactor the sandbox design to support multi-node capabilities and improve isolation.
- Enhance the service layer to facilitate internal request forwarding for gRPC APIs.
This commit lays the groundwork for integrating gRPC into the Yao SDK, improving performance and scalability.
- Introduce a fallback mechanism in the GetConnector method to use a default connector if the specified connector is not found.
- Add logging to notify when falling back to the default connector, improving debugging and traceability.
- Update comments for clarity on connector selection priority, ensuring better understanding of the logic flow.
- Consolidate JSON serialization for assistant fields into a single function, `marshalJSONFields`, to streamline the code and improve maintainability.
- Introduce a new utility function, `isNil`, to accurately check for nil values, including typed nils in interface{} types.
- Remove redundant marshaling logic for options, tags, and modes, enhancing clarity and reducing code duplication.
- Update the `UpdateAssistant` method to utilize the new nil-checking logic for JSON fields, ensuring correct handling of nil values.
- Introduce a new field for dependencies in the Assistant model to manage external MCP client dependencies with version constraints.
- Implement deep copy functionality for dependencies in the Clone method to ensure integrity during assistant cloning.
- Enhance the Update method to handle dependencies input from data maps, supporting both string and interface types.
- Update the Map method to include dependencies in the serialized output.
- Add comprehensive tests to validate loading, cloning, and mapping of dependencies, ensuring correct behavior across various scenarios.
- Introduce a new method to control the maximum number of history messages loaded, prioritizing user-defined options over store settings.
- Update the history loading logic to filter out non-semantic message types and convert tool call and action messages into historical summaries for better context.
- Refactor the message conversion functions to handle different formats and ensure clarity in the historical context provided to the LLM.
- Add comprehensive tests to validate the new behavior and ensure accurate message handling in various scenarios.
- Update the delivery handling logic to only push messages to integration channels when the task originates from one, ensuring more accurate message routing.
- Enhance the error logging to include channel information for better debugging during integration reply failures.
- Streamline the conditions for message delivery to improve code clarity and maintainability.
- Add locale support for DingTalk and Discord integrations to ensure messages are sent in the correct language.
- Update message formatting logic in DingTalk and Discord to utilize dedicated formatting functions for Markdown.
- Implement image and file handling improvements in Feishu integration, allowing for better attachment processing and error handling.
- Refactor message sending methods to streamline the process and enhance code clarity across integrations.
- Introduce a new sanitizeDSL function to clean up unsupported wildcards in the generated DSL.
- Adjust the sequence of operations in SearchWithContext to reflect the new sanitization step.
- Update comments to accurately reflect the changes in the execution flow and improve code clarity.
- Introduce Discord adapter in the robot lifecycle to enable integration with Discord events.
- Update the integration dispatcher to recognize and handle events from Discord.
- Modify the configuration structure to include settings for Discord integration.
- Enhance the integration parsing logic to support Discord configurations.
<message>
- Introduce Feishu and DingTalk adapters in the robot lifecycle for enhanced integration capabilities.
- Update the integration dispatcher to include new adapters for handling events from Feishu and DingTalk.
- Modify the configuration structure to support settings for both Feishu and DingTalk integrations.
- Enhance the integration parsing logic to recognize and process configurations for Feishu and DingTalk.
- Update GetMessages function to ensure that when a limit is specified, the most recent messages are retrieved in descending order and then reversed for chronological output.
- Adjust pagination handling to apply a large limit when only an offset is provided, maintaining clarity in message retrieval.
- Enhance query ordering to prioritize message creation time and sequence for consistent results.
- Add Telegram integration support by introducing a dispatcher for handling Telegram events and messages.
- Implement event notifications for robot configuration changes (creation, update, deletion) to facilitate integration with external services.
- Refactor the robot initialization process to load robots into cache and start the dispatcher, improving the overall system setup.
- Update the delivery event structure to include additional metadata for better context during message handling.
- Enhance logging capabilities for better observability during robot execution and event processing.
- Implement TestEnsureChatMetadata to verify that metadata, including robot_id, is correctly persisted in chat records.
- Update EnsureChat method to store metadata from the context when creating chat records.
- Introduce TestExecutorGoalsInjection to validate that pre-confirmed goals are injected into executions from TriggerInput.Data.
- Enhance executor logic to handle goal injection and persistence, ensuring accurate execution titles.
- Modify chat filtering to support chat_id_prefix for improved chat retrieval based on robot identifiers.
- Update the filename logic in convertAttachments to prefer the semantic title from the delivery agent over the raw storage filename.
- Ensure the original file extension is preserved when using the human-readable title, improving clarity for email clients.
- Adjust logging to reflect the updated filename handling for better observability during attachment processing.
- Update DeliveryPayload to use structured types for Content and Preferences, enhancing type safety and readability.
- Modify tests to reflect changes in payload structure, ensuring proper serialization and deserialization of delivery content.
- Implement a new robotHandler for processing delivery events, streamlining the handling of different delivery channels (email, webhook, process).
- Remove the deprecated DeliveryCenter, consolidating delivery logic within the new handler for better maintainability.
- Enhance error handling and logging during delivery processing to improve observability and debugging capabilities.
- Change clock trigger time in tests from 09:00 to 03:33 for more accurate simulation.
- Ensure cleanup of integration robots is performed before each test run to maintain test isolation.
- Stop the manager before assertions to prevent unintended executions during test validation.
- Refactor execution listing to support pagination with `Page` and `PageSize` options, replacing previous `Limit` and `Offset` parameters.
- Introduce `ExcludeStatuses` in execution queries to filter out specific execution statuses.
- Implement streaming interaction methods in the manager, allowing real-time responses from the host agent during interactions.
- Update API endpoints to accommodate new query parameters and enhance interaction capabilities with streaming support.
- Modify tests to ensure coverage for new pagination and streaming functionalities.
- Add `language_model` field to robot data structures for LLM connector overrides.
- Update `AgentCaller` to utilize the robot's language model and include logging capabilities for agent calls.
- Refactor task execution to log task outputs and inputs, improving observability during execution.
- Modify tests to accommodate changes in the runner initialization and ensure proper logging functionality.
- Update multiple test cases in interact_helpers_test.go to include Status and Phase fields in ExecutionRecord, ensuring comprehensive coverage for human-triggered actions.
- Replace direct error handling with require.NoError for improved test reliability and clarity in error reporting during execution store saves.
- Update multiple test cases in interact_helpers_test.go to include TriggerType set to types.TriggerHuman in ExecutionRecord.
- Ensure consistency in testing scenarios involving human-triggered executions, enhancing clarity and coverage in unit tests.
- Rename test folders and commands in the Makefile for consistency, changing references from AI to Agent tests.
- Update GitHub Actions workflows to reflect the new naming conventions for agent and robot tests, ensuring clarity in CI processes.
- Modify test cases to improve readability and maintainability, including renaming test functions for better understanding of their purpose.
- Enhance comments in the Makefile and workflows to provide clearer context on the testing processes and requirements.
