DAG Map

Render the subagent orchestration graph for one Claude Code session as a depth-ordered DAG.

Input

The user provides: $ARGUMENTS

A session ID. If empty, fetch GET /api/sessions?limit=1 and use the most recent session, stating which one you picked.

Data Sources

Endpoint	Returns
GET /api/workflows/{sessionId}	The orchestration dataset: DAG nodes (agent id, type, model, status, depth) and parent→child edges
GET /api/agents	Raw subagent records (status, type, depth, parent) to cross-check node/edge counts
GET /api/sessions/{sessionId}	Full session detail with nested agents[] to confirm the root and total agent count

Report Sections

1. Topology Summary

From orchestration: the root agent, total agent count, max depth, and max fan-out (most children under any one parent). Confirm the agent count against /api/agents filtered to this session.

2. Edge List

Every parent→child edge, grouped by depth, formatted as: depth d: parent[model] → child[type, status] Mark leaf agents (no children) and any orphan nodes (a parent that is not present in the node set).

3. Depth & Fan-out Table

Depth	Agents at depth	Children spawned	Avg fan-out

4. ASCII Tree

A simple indented tree rendering of the DAG, e.g.:

root [opus, completed]
├─ explore [sonnet, completed]
└─ code-review [sonnet, error]
   └─ debugger [sonnet, completed]

Output

• Render as Markdown tables plus one fenced ASCII tree block.
• Cite real node and edge counts from the API — never invent agents or edges.
• If a session has no subagents, say so plainly (single-agent session, depth 0) instead of fabricating a tree.
• If the dashboard is unreachable, tell the user to start it with npm start from the repo root.