Skip to content

feat(workflow): add DAG orchestration engine for multi-agent workflows #73

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
Ernest-Wu wants to merge 7 commits into
base: main
Choose a base branch
from
Open

feat(workflow): add DAG orchestration engine for multi-agent workflows #73

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
7 commits
Select commit Hold shift + click to select a range
c2f3471
feat(workflow): add DAG orchestration engine for multi-agent workflows
Ernest-Wu Apr 8, 2026
01d920c
test(workflow): add E2E validation with real MiniMax M2.7 API
Ernest-Wu Apr 8, 2026
d870362
fix: lint cleanup and mark E2E tests as skipped for pytest
Ernest-Wu Apr 8, 2026
5f5d642
fix: move pytest import to top of file
Ernest-Wu Apr 8, 2026
8fb31bb
fix(workflow): E2E tests pass with MiniMax-M2.5 API
Ernest-Wu Apr 8, 2026
18ab898
fix(workflow): restore MiniMax-M2.7 and clean up E2E test file
Ernest-Wu Apr 8, 2026
56ab4ec
chore: remove CLAUDE.md and QWEN.md from PR
Ernest-Wu Apr 8, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 5 additions & 0 deletions CHANGELOG.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,11 @@ The format is based on Keep a Changelog, and this project currently tracks chang

### Added

- Workflow DAG engine: multi-agent orchestration with dependency-aware, parallel-capable node execution. Built-in templates for code refactoring, feature development, and test-fix workflows.
- `oh workflow` CLI subcommands: `list`, `show`, `run`, `export` for managing and executing workflow DAGs.
- YAML workflow definition parser with variable interpolation and retry policy configuration.
- Workflow execution tracing with JSON, Graphviz DOT, and interactive HTML report exports.
- Automatic failure propagation: downstream nodes are skipped when upstream dependencies fail (unless `continue_on_failure: true`).
- `diagnose` skill: trace agent run failures and regressions using structured evidence from run artifacts.
- OpenAI-compatible API client (`--api-format openai`) supporting any provider that implements the OpenAI `/v1/chat/completions` format, including Alibaba DashScope, DeepSeek, GitHub Models, Groq, Together AI, Ollama, and more.
- `OPENHARNESS_API_FORMAT` environment variable for selecting the API format.
Expand Down
Loading