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This commit implements Phase 2 of the CHORUS Task Execution Engine development plan, providing a comprehensive execution environment abstraction layer with Docker container sandboxing support. ## New Features ### Core Sandbox Interface - Comprehensive ExecutionSandbox interface with isolated task execution - Support for command execution, file I/O, environment management - Resource usage monitoring and sandbox lifecycle management - Standardized error handling with SandboxError types and categories ### Docker Container Sandbox Implementation - Full Docker API integration with secure container creation - Transparent repository mounting with configurable read/write access - Advanced security policies with capability dropping and privilege controls - Comprehensive resource limits (CPU, memory, disk, processes, file handles) - Support for tmpfs mounts, masked paths, and read-only bind mounts - Container lifecycle management with proper cleanup and health monitoring ### Security & Resource Management - Configurable security policies with SELinux, AppArmor, and Seccomp support - Fine-grained capability management with secure defaults - Network isolation options with configurable DNS and proxy settings - Resource monitoring with real-time CPU, memory, and network usage tracking - Comprehensive ulimits configuration for process and file handle limits ### Repository Integration - Seamless repository mounting from local paths to container workspaces - Git configuration support with user credentials and global settings - File inclusion/exclusion patterns for selective repository access - Configurable permissions and ownership for mounted repositories ### Testing Infrastructure - Comprehensive test suite with 60+ test cases covering all functionality - Docker integration tests with Alpine Linux containers (skipped in short mode) - Mock sandbox implementation for unit testing without Docker dependencies - Security policy validation tests with read-only filesystem enforcement - Resource usage monitoring and cleanup verification tests ## Technical Details ### Dependencies Added - github.com/docker/docker v28.4.0+incompatible - Docker API client - github.com/docker/go-connections v0.6.0 - Docker connection utilities - github.com/docker/go-units v0.5.0 - Docker units and formatting - Associated Docker API dependencies for complete container management ### Architecture - Interface-driven design enabling multiple sandbox implementations - Comprehensive configuration structures for all sandbox aspects - Resource usage tracking with detailed metrics collection - Error handling with retryable error classification - Proper cleanup and resource management throughout sandbox lifecycle ### Compatibility - Maintains backward compatibility with existing CHORUS architecture - Designed for future integration with Phase 3 Core Task Execution Engine - Extensible design supporting additional sandbox implementations (VM, process) This Phase 2 implementation provides the foundation for secure, isolated task execution that will be integrated with the AI model providers from Phase 1 in the upcoming Phase 3 development. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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OpenTelemetry-Go
OpenTelemetry-Go is the Go implementation of OpenTelemetry. It provides a set of APIs to directly measure performance and behavior of your software and send this data to observability platforms.
Project Status
| Signal | Status |
|---|---|
| Traces | Stable |
| Metrics | Stable |
| Logs | Beta1 |
Progress and status specific to this repository is tracked in our project boards and milestones.
Project versioning information and stability guarantees can be found in the versioning documentation.
Compatibility
OpenTelemetry-Go ensures compatibility with the current supported versions of the Go language:
Each major Go release is supported until there are two newer major releases. For example, Go 1.5 was supported until the Go 1.7 release, and Go 1.6 was supported until the Go 1.8 release.
For versions of Go that are no longer supported upstream, opentelemetry-go will stop ensuring compatibility with these versions in the following manner:
- A minor release of opentelemetry-go will be made to add support for the new supported release of Go.
- The following minor release of opentelemetry-go will remove compatibility testing for the oldest (now archived upstream) version of Go. This, and future, releases of opentelemetry-go may include features only supported by the currently supported versions of Go.
Currently, this project supports the following environments.
| OS | Go Version | Architecture |
|---|---|---|
| Ubuntu | 1.25 | amd64 |
| Ubuntu | 1.24 | amd64 |
| Ubuntu | 1.23 | amd64 |
| Ubuntu | 1.25 | 386 |
| Ubuntu | 1.24 | 386 |
| Ubuntu | 1.23 | 386 |
| Ubuntu | 1.25 | arm64 |
| Ubuntu | 1.24 | arm64 |
| Ubuntu | 1.23 | arm64 |
| macOS 13 | 1.25 | amd64 |
| macOS 13 | 1.24 | amd64 |
| macOS 13 | 1.23 | amd64 |
| macOS | 1.25 | arm64 |
| macOS | 1.24 | arm64 |
| macOS | 1.23 | arm64 |
| Windows | 1.25 | amd64 |
| Windows | 1.24 | amd64 |
| Windows | 1.23 | amd64 |
| Windows | 1.25 | 386 |
| Windows | 1.24 | 386 |
| Windows | 1.23 | 386 |
While this project should work for other systems, no compatibility guarantees are made for those systems currently.
Getting Started
You can find a getting started guide on opentelemetry.io.
OpenTelemetry's goal is to provide a single set of APIs to capture distributed traces and metrics from your application and send them to an observability platform. This project allows you to do just that for applications written in Go. There are two steps to this process: instrument your application, and configure an exporter.
Instrumentation
To start capturing distributed traces and metric events from your application it first needs to be instrumented. The easiest way to do this is by using an instrumentation library for your code. Be sure to check out the officially supported instrumentation libraries.
If you need to extend the telemetry an instrumentation library provides or want to build your own instrumentation for your application directly you will need to use the Go otel package. The examples are a good way to see some practical uses of this process.
Export
Now that your application is instrumented to collect telemetry, it needs an export pipeline to send that telemetry to an observability platform.
All officially supported exporters for the OpenTelemetry project are contained in the exporters directory.
| Exporter | Logs | Metrics | Traces |
|---|---|---|---|
| OTLP | ✓ | ✓ | ✓ |
| Prometheus | ✓ | ||
| stdout | ✓ | ✓ | ✓ |
| Zipkin | ✓ |
Contributing
See the contributing documentation.