Large World graph, agent platform, brain stack & dashboard rebuild

Frontend
- Large World: collapse org/company/team tiers into one expandable React Flow
  hierarchy (WorldFlow) with per-click expand, persisted node positions, a
  compact tree sidebar, wrench multi-select delete across levels, and a sized
  right slide-out (phone/tablet/full) showing an agent summary + drill button.
- Agent page: GitHub-style animated contribution grid (VitalsCard), collapsible
  System Prompt + Personality cards, restructured anatomy cards, bigger avatar
  with name/title header row, Markdown/JSON-aware rendering, brain registry +
  history, avatar generate/upload.
- User-icon menu (Infrastructure/Brains/Tools/Profile/Credits) + ToolPanel;
  Master Planner deploy wizard (Specialists/Swarm/Scheduled/Triggered);
  Team Runs view; reap-progress modal; dashboard is the single live interface.

Backend
- cm-brain crate (.brain as the agent definition) + brain apply/history.
- Hard-purge reap (FK-ordered) + sandbox release + SSE batch-delete.
- Swarm self-verifying loop, mode-aware planner, web.search tool, webhooks
  (migration 0013), org/company/team delete endpoints, scheduler sweeps.

Co-Authored-By: Claude Opus 4.8 (1M context) <[email protected]>

crates/cm-llm/src/anthropic.rs

@@ -74,7 +74,7 @@ fn stop_reason(wire: &str) -> StopReason {
 #[async_trait::async_trait]
 impl LlmProvider for AnthropicProvider {
     async fn stream(&self, request: ChatRequest) -> Result<EventStream, LlmError> {
-        let tools: Vec<Value> = request
+        let mut tools: Vec<Value> = request
             .tools
             .iter()
             .map(|t| {
@@ -85,6 +85,10 @@ impl LlmProvider for AnthropicProvider {
                 })
             })
             .collect();
+        if request.web_search {
+            // Anthropic server-side web search — the model searches the web itself.
+            tools.push(json!({"type": "web_search_20250305", "name": "web_search", "max_uses": 5}));
+        }
         let body = json!({
             "model": request.model,
             "max_tokens": request.max_tokens,