Replace PM terminology with orchestrator/session model across docs
- Add "Agents vs Sessions" explainer section to ARCHITECTURE.md - Replace all "PM Agent" references with "Orchestrator" in sequence diagrams - Fix ticket creation: agents create issues via glab, not humans - Update scope boundaries to show sub-agent session responsibilities - Clarify plugin returns instructions, agent executes session operations - Update ONBOARDING.md issue creation to show agent-first workflow Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -9,7 +9,7 @@
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| [`glab`](https://gitlab.com/gitlab-org/cli) CLI | GitLab issue/label management | `glab --version` |
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| glab authenticated | Plugin calls glab for every label transition | `glab auth status` |
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| A GitLab repo with issues | The task backlog lives in GitLab | `glab issue list` from your repo |
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| An OpenClaw agent with Telegram | The PM agent that will orchestrate | Agent defined in `openclaw.json` |
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| An OpenClaw agent with Telegram | The orchestrator agent that will manage projects | Agent defined in `openclaw.json` |
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## Setup steps
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@@ -35,7 +35,7 @@ In `openclaw.json`, your orchestrator agent needs access to the DevClaw tools:
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"agents": {
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"list": [{
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"id": "my-orchestrator",
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"name": "Dev PM",
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"name": "Dev Orchestrator",
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"model": "anthropic/claude-sonnet-4-5",
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"tools": {
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"allow": [
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@@ -53,7 +53,7 @@ In `openclaw.json`, your orchestrator agent needs access to the DevClaw tools:
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}
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```
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The agent also needs the OpenClaw session tools (`sessions_spawn`, `sessions_send`, `sessions_list`) — DevClaw handles the orchestration logic, but the agent executes the actual session operations.
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The agent also needs the OpenClaw session tools (`sessions_spawn`, `sessions_send`, `sessions_list`) — DevClaw handles the orchestration logic (labels, state, model selection, audit), but the agent executes the actual session operations to spawn or communicate with DEV/QA sub-agent sessions.
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### 3. Create GitLab labels
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@@ -112,10 +112,12 @@ Add your orchestrator bot to the Telegram group for the project. The agent will
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### 6. Create your first issue
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```bash
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cd ~/git/my-project
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glab issue create --title "My first task" --label "To Do"
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```
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Issues can be created in multiple ways:
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- **Via the agent** — Ask the orchestrator in the Telegram group: "Create an issue for adding a login page"
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- **Via glab CLI** — `cd ~/git/my-project && glab issue create --title "My first task" --label "To Do"`
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- **Via GitLab UI** — Create an issue and add the "To Do" label
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The orchestrator agent and sub-agent sessions can all create and update issues via `glab` tool usage.
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### 7. Test the pipeline
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@@ -127,7 +129,7 @@ The agent should call `queue_status` and report the "To Do" issue. Then:
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> "Pick up issue #1 for DEV"
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The agent calls `task_pickup`, which selects a model, transitions the label to "Doing", and returns instructions to spawn or reuse a DEV session.
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The agent calls `task_pickup`, which selects a model, transitions the label to "Doing", and returns instructions to spawn or reuse a DEV sub-agent session.
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## Adding more projects
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@@ -146,7 +148,7 @@ Each project is fully isolated — separate queue, separate workers, separate st
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| Project registration | You (once per project) | Entry in `projects.json` |
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| Agent definition | You (once) | Agent in `openclaw.json` with tool permissions |
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| Telegram group setup | You (once per project) | Add bot to group |
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| Task creation | You or external | Create GitLab issues with labels |
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| Issue creation | Agent or sub-agents | Created via `glab` tool usage (or manually via GitLab UI) |
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| Label transitions | Plugin | Atomic `--unlabel` + `--label` via glab |
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| Model selection | Plugin | Keyword-based heuristic per task |
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| State management | Plugin | Atomic read/write to `projects.json` |
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