- Rename and enhance the Docker instance startup steps for Tai in CI workflows, improving clarity and readiness checks for both HTTP and gRPC services.
- Update health check logic to ensure accurate reporting of service readiness, including specific error messages for failures.
- Modify environment variable configurations to streamline the setup for K8s and Docker instances, ensuring consistent port usage across tests.
These changes improve the reliability and clarity of the CI processes for the Tai service, enhancing overall testing and deployment workflows.
- Introduce new unit test targets for Workspace and Sandbox V2 integration in the Makefile, ensuring comprehensive testing of the new features.
- Update CI workflows to support MongoDB service for Sandbox V2 tests and improve Docker image handling.
- Implement Workspace as a first-class entity, allowing for persistent storage decoupled from container lifecycles.
- Enhance the Box struct to manage workspace IDs and update related methods for improved functionality.
- Refactor tests to accommodate new Workspace features, ensuring robust testing of the integration.
These changes significantly improve the testing framework and functionality of the Sandbox V2, enhancing the overall architecture and user experience.
- Add new gRPC endpoint for Heartbeat in the Yao service, enabling communication with the sandbox.
- Update Makefile to include a dedicated unit test target for Sandbox V2, ensuring proper testing of new features.
- Enhance CI workflows to incorporate Sandbox V2 tests, allowing for dual-mode testing (local and remote) with Docker.
- Modify .gitignore to exclude specific Docker files while allowing shell scripts for Sandbox V2.
- Update documentation in DESIGN.md to reflect the new architecture and capabilities of the Sandbox V2.
These changes enhance the Yao SDK's functionality, providing improved support for sandbox operations and testing.
- Add TAI_TEST_HOST_IP environment variable to CI workflows for unit tests, allowing better connectivity to the gRPC server from Docker containers.
- Update the `run.go` file to parse command-line arguments correctly.
- Modify the test utility to return the gRPC address reachable from Docker, improving integration test reliability.
- Refactor integration tests to utilize the new relay address function, ensuring proper communication with the Yao gRPC server.
These changes improve the testing framework and enhance the configuration for better service interaction during CI runs.
- Improve health check logic in CI workflows for both HTTP and gRPC readiness of the Tai service, ensuring clearer error reporting if the service fails to start.
- Update the OAuth Device Flow implementation to support additional claims during device authorization, enhancing the flexibility of the authorization process.
- Refactor the `AuthorizeDevice` method to accept extra claims, allowing for more detailed user context during authorization.
- Introduce a new utility function to extract bearer tokens from requests, streamlining token handling across the OpenAPI service.
These changes enhance the robustness of service readiness checks and improve the OAuth device authorization flow, contributing to a more reliable and flexible authentication mechanism.
- Update health check messages in CI workflows to specify HTTP and gRPC readiness for the Tai service.
- Refactor integration tests to use `require` assertions instead of `assert`, improving error handling and test reliability.
- Ensure that responses from gRPC calls are not nil, enhancing test robustness.
These changes improve the clarity of service readiness checks and strengthen the integration test suite.
- Add support for the OAuth Device Authorization Flow (RFC 8628) in the OpenAPI service, allowing devices with limited input capabilities to obtain authorization.
- Implement `DeviceAuthorization()` and `AuthorizeDevice()` methods to handle device and user code generation, storage, and authorization.
- Update the OAuth endpoints to include `/device/authorize` for user code authorization and fix the discovery endpoint path for device authorization.
- Introduce MongoDB service in CI workflows for testing and enhance the unit test workflow with Redis setup.
- Update Go module dependencies to include necessary packages for the new features.
This commit significantly advances the OAuth capabilities of the application, enabling a more flexible authorization process for devices.
- 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.
- Add K8s sandbox implementation (sandbox/k8s.go) using client-go
- Extend tai.New() to support K8s runtime via Tai proxy
- Remove containerd support, fix default port assignment bug
- Update CI workflows to spin up k3d cluster and route K8s tests
through Tai proxy for full end-to-end coverage
- Make test ports configurable via environment variables
Made-with: Cursor
- Introduce new Tai SDK tests in the GitHub workflows, requiring a Tai container with Docker socket mount for execution.
- Update the Makefile to include a dedicated target for running Tai SDK tests, enhancing test coverage for the Tai integration.
- Modify the Go module dependencies to include the pierrec/lz4 package, ensuring compatibility with the new tests.
- Adjust test folder selection logic in the Makefile to exclude additional directories, streamlining the testing process.
- Introduce new MCP and Robot command groups in the CLI, allowing for better organization of package management commands.
- Add corresponding command descriptions for MCP and Robot functionalities to improve user guidance.
- Update the agent command group to include additional commands for enhanced agent management.
- Modify .gitignore to exclude specific design markdown files from version control.
- Add environment variable for test application path in GitHub workflows to streamline testing setup.
- Add environment variables for registry initialization in both `pr-test.yml` and `unit-test.yml`.
- Implement a waiting mechanism for the registry service to ensure readiness before executing tests.
- Remove redundant steps for user creation and service restart, streamlining the test setup process.
- Enhance the client code to support auto-discovery of the API prefix, improving flexibility in server URL configuration.
- Introduce comprehensive error handling in client tests to cover various edge cases and improve test coverage.
- Update .gitignore to exclude registry data files.
- Modify Makefile to include new unit-test-registry target for running tests against the Yao Registry service.
- Add comprehensive Registry Client SDK tests in GitHub workflows, ensuring proper setup and execution of tests with Docker service dependencies.
- Implement steps for user creation, service restart, and test execution, along with reporting results back to the pull request.
- 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.
- Implement V2 execution model in the standard executor, simplifying task execution to a single call without validation loops.
- Introduce support for resuming suspended executions, allowing for human input during task processing.
- Enhance event handling by pushing task completion and failure events to the event bus for better tracking and integration.
- Update tests to reflect changes in execution flow and ensure robust handling of task statuses and results.
- Introduce FFmpeg installation steps in both `pr-test.yml` and `unit-test.yml` workflows, allowing for video processing capabilities.
- Add a test command to verify the FFmpeg installation by checking its version, ensuring successful integration into the CI pipeline.
- Replace `supercharge/redis-github-action` with a direct Docker command to start Redis in both `pr-test.yml` and `unit-test.yml`, improving control over the Redis instance.
- Update MongoDB setup to use a Docker command with environment variables for initialization and include a readiness check to ensure MongoDB is fully operational before proceeding.
- Upgrade `supercharge/redis-github-action` from version 1.4.0 to 1.8.0 in both `pr-test.yml` and `unit-test.yml` workflows to leverage improvements and new features.
- Upgrade `supercharge/mongodb-github-action` from version 1.8.0 to 1.11.0 in both workflows for enhanced functionality and performance.
- Include `ANTHROPIC_API_KEY` in both `pr-test.yml` and `unit-test.yml` workflows to support Anthropic API integration.
- Refactor tool call processing in `anthropic.go` to ensure deterministic order by sorting tool call indices before processing, enhancing reliability in tool call execution.
- Add prod builds (stripped) and prod-upx builds (compressed) for Linux
- Add prod builds (stripped) for macOS (UPX not supported)
- Add docker/production-slim for slim images using prod-upx binaries
- Update build-docker.yml to build slim variants
- Update build-macos.yml to sign and notarize all 4 variants
- Add BUILDOPTIONS constant to show build flags in version output
- Add make release-all target for building both dev and prod locally
Linux artifacts: 6 variants (dev, prod, prod-upx for amd64/arm64)
macOS artifacts: 4 variants (dev, prod for amd64/arm64)
Docker images: 6 variants (dev, prod, prod-slim for amd64/arm64)
Co-authored-by: Cursor <cursoragent@cursor.com>
- Added steps to pull necessary Docker images for sandbox testing in both CI workflows.
- Updated the AI test execution to utilize sandbox configurations, ensuring proper environment setup.
- Introduced sandbox initialization in the Assistant's Stream method, allowing for execution of coding agents like Claude and Cursor.
- Enhanced context management to support sandbox execution, improving flexibility in handling agent operations.
- Updated CI workflows to set the YAO_SANDBOX_CONTAINER_USER environment variable, ensuring proper user permissions during sandbox tests.
- Modified the Config struct to include ContainerUser, allowing for user specification in container execution.
- Improved test setup in config_test.go to clear conflicting environment variables, enhancing test reliability.
- Refactored manager_test.go to utilize the new getContainerUser function for consistent user handling across tests.
- Added environment variables for YAO_SANDBOX_WORKSPACE and YAO_SANDBOX_IPC in the CI workflows to improve sandbox test configuration.
- Refactored test directory management in manager_test.go to utilize the new getTestDirs function, allowing for better handling of workspace and IPC directories, whether using environment variables or temporary directories.
- Improved cleanup logic to ensure temporary directories are removed only when created, enhancing test reliability.
- Introduced a new `unit-test-robot-e2e` target in the Makefile to run end-to-end tests for the robot API, requiring real LLM calls and specific environment setup.
- Updated the `pr-test.yml` and `unit-test.yml` workflows to include a dedicated job for Robot E2E Tests, ensuring proper execution in CI with necessary services and dependencies.
- Enhanced the TODO.md to reflect the completion of various E2E test flows, marking them as done and outlining future integration with OpenAPI.
- Refactored context handling in several test files to utilize `context.Background()` for improved clarity and consistency in execution context.
- Added support for parsing various file types (PDF, DOCX, PPTX) in the content processing pipeline, allowing for more flexible content extraction.
- Implemented a new method to convert file attachments to raw text when content parsing is skipped, improving performance for internal calls.
- Introduced loading message suppression for image processing to enhance user experience during PDF analysis.
- Updated the PDF handler to cache processed text and manage loading messages effectively, ensuring smoother interactions during content retrieval.
- Enhanced error handling and logging for PDF processing, improving traceability and debugging capabilities.
- Enhanced the KB search handler to utilize the KB API for executing search queries, improving search accuracy and performance.
- Implemented authorization checks for collections in the search requests, ensuring only accessible collections are queried.
- Updated the search request structure to include metadata filtering capabilities, allowing for more refined search results.
- Refactored unit tests to validate new search functionalities, including threshold handling and collection initialization checks, ensuring robust test coverage.
- Adjusted the Makefile to streamline test coverage reporting and updated GitHub Actions workflows to include Codecov integration for better visibility on test coverage metrics.
- Updated the Dockerfiles and GitHub Actions workflows to reference version 1.0.0 of the Yao build environment and Go, ensuring compatibility with the latest features and improvements.
- Adjusted the Go version in the macOS workflow and updated the Dockerfile to install Go 1.25.0, enhancing the build process.
- Changed the Go version in multiple workflow files from 1.24 to 1.25, ensuring compatibility with the latest features and improvements in the Go programming language.
- Introduced a new unit test target for KB tests in the Makefile, allowing for dedicated testing of the KB module.
- Updated the test folder selection logic to exclude additional AI-related components, ensuring focused testing.
- Enhanced the GitHub Actions workflows to include KB tests, setting up necessary services like Qdrant, Neo4j, and MongoDB for a comprehensive testing environment.
- Refactored search test functions to improve data existence checks and streamline test setup processes, enhancing test reliability and maintainability.
- Added the `OPENAI_API_KEY` environment variable to both `pr-test.yml` and `unit-test.yml` workflows for improved API access.
- Introduced a step to set up the Apple Private Key in both workflows, enhancing security for Apple-related operations.
- Integrated Redis service setup in both workflows to support caching and improve test performance.
- Added a MongoDB service to both `pr-test.yml` and `unit-test.yml` workflows to support database testing.
- Configured MongoDB with necessary environment variables for root credentials and database name, improving the test environment setup.
- Introduced a MongoDB service in both `pr-test.yml` and `unit-test.yml` workflows to facilitate database testing.
- Configured MongoDB with environment variables for root username, password, and database name, enhancing test environment setup.
- Updated `.gitignore` to exclude job logs for search agents, ensuring cleaner repository management.
- Introduced a new step in both `pr-test.yml` and `unit-test.yml` workflows to set up environment variables for database configuration.
- Enhanced the environment setup to conditionally configure database connection strings based on the selected database driver, improving test reliability and flexibility.
- Created necessary directories for SQLite database storage when not using MySQL, ensuring proper environment preparation for tests.
- Added additional failure checks in the Makefile for unit tests to improve error handling.
- Updated GitHub Actions workflows to include a new benchmark and memory leak testing job, enhancing performance validation.
- Modified environment setup in workflows to ensure correct database paths for SQLite, improving test reliability.
- Streamlined the core test execution process by removing redundant commands, focusing on unit tests only.
- Added separate unit test targets for core tests and AI-related tests in the Makefile, allowing for more granular testing.
- Updated GitHub Actions workflows to include dedicated jobs for running AI tests with SQLite and core tests, enhancing CI capabilities.
- Modified existing test commands to ensure proper execution of unit tests while excluding AI-related tests where necessary.
- Updated test paths in the agent's search tests to reflect changes in the test assistant being used, ensuring accurate test execution.
- Introduced new environment variables for TAVILY_API_KEY, SERPAPI_API_KEY, and SERPER_API_KEY in both `pr-test.yml` and `unit-test.yml` workflows to support additional search providers.
- Updated `DESIGN.md` to reflect the inclusion of SerpAPI as a search provider, detailing its usage and configuration options, including support for multiple search engines.
- Enhanced the `builtinSearch` function in `handler.go` to accommodate the new SerpAPI provider, ensuring proper handling of search requests.
- Revised the `WebConfig` struct in `config.go` to include an `Engine` field for specifying the search engine when using SerpAPI, improving flexibility in search configurations.
- Updated documentation to clarify the roles of new search providers and their integration within the search module, ensuring comprehensive guidance for developers.
- Integrated Claude API keys into GitHub workflows for both unit and PR tests.
- Introduced a new VisionFormat type and constants to manage image input formats.
- Updated ModelCapabilities to support vision input, allowing for flexible handling of image formats.
- Enhanced VisionAdapter to preprocess messages and convert image URLs to base64 format for Claude compatibility.
- Improved OpenAI provider to utilize vision support in message preprocessing, ensuring better integration with vision capabilities.
- Added DeepSeek API keys and model configurations to the GitHub workflows for both unit and PR tests.
- Introduced a new `ReasoningEffort` parameter in the `CompletionOptions` struct to manage reasoning levels for models like o1 and GPT-5.
- Updated the `ReasoningAdapter` to handle the new `ReasoningEffort` parameter, ensuring it is stripped if not supported by the model.
- Enhanced the OpenAI provider to preprocess options through adapters, improving the handling of reasoning content and ensuring compatibility with DeepSeek R1 reasoning format.
- Changed the NEO4J_TEST_URL from "neo4j://localhost:7686" to "neo4j://localhost:7687" in both pr-test.yml and unit-test.yml to reflect the updated Neo4j service endpoint.
- Cleaned up whitespace in the OpenAPI signin configurations for better readability.
- Introduced SIGNIN_CLIENT_ID environment variable in both pr-test.yml and unit-test.yml for OpenAPI signin configurations, ensuring consistent access across workflows.
- This addition enhances the setup for authentication processes in the testing environment.
- Bump Go version to 1.24.0 and update toolchain to 1.24.3 for improved performance and compatibility.
- Add new dependencies for IMAP and SASL support, enhancing email handling capabilities.
- Refactor messenger service to integrate a new mailer provider, replacing the deprecated SMTP provider.
- Implement automatic mail receiver startup for mailer providers, improving message handling efficiency.
- Update GitHub Actions workflows to include IMAP server configurations for testing email reception.
- Added TWILIO_TEST_PHONE environment variable to GitHub Actions workflows for better test configuration.
- Updated Twilio SMS test cases to utilize the new test phone number, improving test reliability.
- Implemented separate test cases for SMS sending using both Auth Token and API Key authentication methods.
- Enhanced existing tests to skip execution if required credentials are not configured, ensuring clearer test outcomes.
- Refactored benchmark tests for SMS sending to support both authentication methods, optimizing performance evaluation.
- Integrated Mailgun, SMTP, and Twilio environment variables into the GitHub Actions workflows for unit testing and PR testing.
- Configured necessary credentials and settings for Mailgun and Gmail SMTP servers, enhancing email functionality.
- Added Twilio configuration for SMS and email services, improving communication capabilities in tests.
- Added Cloudflare Turnstile site key and secret to the environment variables in both `pr-test.yml` and `unit-test.yml` workflows.
- Introduced a new endpoint in the Signin API for generating OAuth authorization URLs, improving support for third-party authentication providers.
- Enhanced the handling of OAuth provider configurations, including validation and error responses for missing or incomplete settings.
- Updated tests to cover the new OAuth authorization URL functionality and ensure sensitive data is not exposed in public configurations.
- Introduced a comprehensive Signin API for user authentication, supporting multiple OAuth providers (Google, GitHub, Microsoft, Apple).
- Updated the file management API endpoints to use a singular `/file` path instead of `/files`, enhancing consistency across the API.
- Revised README documentation to include detailed descriptions of the new Signin API and updated file management endpoints.
- Enhanced test cases to reflect the changes in endpoint structure and ensure robust coverage for the new Signin functionality.
