Commit Graph
3 Commits
Author SHA1 Message Date
Omar SobhandClaude Opus 4.8 3eca4ed70c Recursive deploy ladder: Company + Org tiers, mesh mark, two-tier rail
Completes the scale ladder (single → team → company → org). Every tier is a
topology whose nodes are the tier below; running a parent recursively runs each
child's sub-topology down to the leaf claws.

Backend:
- migration 0011: companies/company_teams, orgs/org_companies, topology_runs.tier
- cm-db repos for companies + orgs (mirror teams)
- TurnRequest.attrs (forwarded from node.attrs) for child-id binding
- SubTopologyExecutor (recursive_exec.rs): a parent "turn" runs the child's
  sub-topology; durability via parent updated_at keepalive + cancel propagation
  + depth cap; boxed future breaks the org→company recursion
- topology_worker selects executor by job.tier
- routes: /api/companies, /api/orgs (create/list/get/run) + unified
  /api/structure/{level}/{id} for the zoom canvas

Frontend:
- MeshMark: node-mesh brand glyph (replaces the claw PNG), tier variants
- TopologyGraphView: optional onNodeClick/nodeMeta + dark-token theming
- StructureCanvas + Breadcrumb: one recursive zoom view for every tier
  (drill down on node click, breadcrumb up); TeamRunPanel extracted + shared
- two-tier Discord-style rail: StructureRail (mesh mark + org/company/team
  glyphs + tools popover + deploy + user) | RosterColumn (selected group's
  children, or your claws); SecondaryNav for cross-cutting tools
- ComposeWizard (company/org) wired into DeployWizard; /companies + /orgs pages

Co-Authored-By: Claude Opus 4.8 <[email protected]>
2026-06-18 14:25:06 -07:00
Omar SobhandClaude Opus 4.8 3725c96e4f feat(topology): LLM-judge scorer + async Scorer trait
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Make Scorer async and add JudgeScorer (behind the `provider` feature): asks a
cm-llm model to rate a run's output 0-100 vs the task and normalizes to [0,1],
giving the comparison harness real quality numbers. Robust integer parsing
(handles "Score: 92/100", clamps >100); provider errors score 0.0.

11 tests with --features provider (judge incl. parse + scripted-provider score);
core stays 7. Clippy clean.

Co-Authored-By: Claude Opus 4.8 <[email protected]>
2026-06-15 20:44:08 -07:00
Omar SobhandClaude Opus 4.8 7370adb78e feat(topology): multi-topology comparison harness (Phase 4 core)
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compare(graphs, task, executor, scorer) runs the same task across a set of
topologies on the same executor, scores each, and returns a Comparison:
- per-topology results (quality, tokens, turns, blocked approvals, output),
- a leaderboard (quality desc),
- a quality/cost Pareto front (on_pareto flags),
- best_quality and best_value (quality-per-token) picks.

This is the "which patterns yield better results" engine and the structured
output the paper's benchmark tables consume. Generic over TurnExecutor +
Scorer (pluggable LLM-judge later); pure core, no new deps. 9 tests, clippy clean.

Co-Authored-By: Claude Opus 4.8 <[email protected]>
2026-06-15 20:38:49 -07:00