feat(conductor): task state machine — TIMED_OUT state and retriable steps

- Add 'timed_out' to flow_runs/flow_steps CHECK constraints
- Add retry_count and max_retries columns to flow_steps
- Add timeout detection in advanceInner loop (configurable FLOW_STEP_TIMEOUT_MS)
- Add retriable logic: re-dispatch on timeout if maxRetries > 0 and retryCount < maxRetries
- Add isRetriable() + shouldRetry() pure decision functions
- Add timed_out handling to reconcileResumeStep and reconcileRun
- Add 'timed_out' to ws-frames enum, publishStep status type

.env.example

@@ -20,6 +20,12 @@ SEARXNG_URL=http://100.114.205.53:8888
 # with FAST_MODEL when unset.
 # TASK_MODEL_URL=http://100.90.172.55:7995
 
+# DeepSeek API key. When set, models with IDs starting with 'deepseek-'
+# (e.g. deepseek-chat, deepseek-reasoner, deepseek-v4-flash) route through
+# DeepSeek's API instead of llama-swap. Requires a DeepSeek Platform API key.
+# DEEPSEEK_API_KEY=sk-...
+# DEEPSEEK_BASE_URL=https://api.deepseek.com
+
 # v1.13.15-tools: BOOCODE_TOOLS narrows the tool whitelist sent to the LLM.
 # Unset (default) → all tools (~21k schema). Useful primarily for single-purpose
 # sessions where the model only needs read-only filesystem access.

.omo/plans/paseo-orchestrator.md

@@ -0,0 +1,239 @@
+# Paseo-like Orchestrator — Implementation Plan
+
+> **Goal:** Transform BooCode into a Paseo-style thin-client orchestration layer with observability, dynamic workflows, resumability, background subagents, multi-modal, and cache shape telemetry.
+>
+> **Architecture:** Durable agent execution engine beneath thin chat/coder frontends. Trace system as foundation, workflow engine as the structural addition, everything else layered on top.
+>
+> **Inspired by:** Paseo (agent lifecycle, worktree isolation), Whale (workflow engine, cache telemetry), OpenCode (session resume), Claude Code (workflow script format).
+
+---
+
+## TL;DR
+
+> **Quick Summary**: Build a durable orchestration layer with trace observability, dynamic JS workflows, session persistence, background subagents, and multi-modal support over 5 phases.
+>
+> **Deliverables**:
+> - Trace system with DB persistence + viewer UI
+> - Dynamic workflow engine (JS sandbox, agent/parallel/pipeline)
+> - Workflow resumability (hash-based step caching)
+> - Background subagent runtime
+> - Session persistence across refreshes
+> - Cache shape telemetry (DeepSeek KV cache viz)
+> - Multi-modal attachment support
+>
+> **Estimated Effort**: XL — 5 phases, ~2-3 weeks total
+> **Parallel Execution**: YES — phases 1-2 can partially overlap
+> **Critical Path**: Trace system → Workflow engine → All downstream features
+
+---
+
+## Context
+
+### Original Request
+User wants BooCode to become "like Paseo — a thin client" with observability, dynamic workflows, session persistence, background agents, multi-modal, cache shape telemetry, and workflow resumability. They invoked skills across model evaluation, long context, SGLang, LangChain, LangSmith, agentic eval, agent harness construction, agent governance, and chat SDKs — indicating broad ambition for a production-quality AI coding platform.
+
+### Key Decisions
+- **Trace system first**: Foundation for all debugging and optimization
+- **isolated-vm for workflow sandbox**: Node-native, no external deps
+- **DB-backed sessions**: Postgres for trace store + session state
+- **Existing WS frames + new `tool_trace` frame**: Live streaming to frontend
+- **Phase ordering**: Foundation (trace) → UX (persistence) → Power (workflows) → Polish (background/multi-modal/cache)
+
+---
+
+## Phases
+
+### Phase 1: Trace System + Observability
+**Est. effort**: 3-4 days
+
+Core observability infrastructure. Every tool call gets timed, logged, and persisted.
+
+**Deliverables**:
+- `tool_traces` DB table (id, session_id, chat_id, turn_number, tool_name, input, output, started_at, finished_at, latency_ms, tokens_used, cache_tokens, reasoning_tokens, error, outcome)
+- Instrumentation in `tool-phase.ts` wrapping `executeToolCall` with start/end timing
+- `tool_trace` WS frame type for live streaming to frontend
+- GET `/api/chats/:id/traces` endpoint (paginated)
+- Trace viewer pane (collapsible tree, timing bars, expand/collapse per call)
+
+**Files to create**: 5-7 files across server + web + contracts
+**Dependencies**: None — standalone feature
+
+---
+
+### Phase 2: Session Persistence + Resume
+**Est. effort**: 2-3 days
+
+Agent state survives browser refresh. Active sessions can be resumed.
+
+**Deliverables**:
+- Serialize active agent state to DB on each turn boundary
+- Restore state on WS reconnect (existing `snapshot` frame enhanced)
+- Agent session timeline view (history of all turns in a session)
+- Coder pane rehydrates from persisted state
+
+**Files to modify**: ws.ts, useSessionStream.ts, session store, dispatcher
+**Dependencies**: None — standalone, but benefits from Phase 1 trace data
+
+---
+
+### Phase 3: Dynamic Workflow Engine
+**Est. effort**: 5-7 days
+
+JS sandbox for multi-agent orchestration. Claude Code compatible.
+
+**Deliverables**:
+- `isolated-vm` sandbox (or Node `vm` module with restricted context)
+- Workflow API: `agent()`, `parallel()`, `pipeline()`, `phase()`, `budget()`, `log()`, `args`
+- Workflow file discovery (`.boocode/workflows/*.js` → project, `~/.boocode/workflows/*.js` → global)
+- Built-in workflow catalog (deep-research, multi-review, etc.)
+- Workflow manager with concurrency limits, token budgets
+- Integration with existing Orchestrator panel for UI
+
+**Files to create**: 10-15 files (workflow runtime, scheduler, tool bridge, manager, catalog)
+**Dependencies**: Phase 1 traces feed into workflow observability
+
+**Workflow Resumability** (within Phase 3):
+- SHA-256 hash of agent spec (prompt + options)
+- Cache completed results by hash
+- On re-run, skip cached agents, only execute new/changed ones
+- In-memory cache for current session, optional DB persistence
+
+**Est. effort**: 1-2 days within Phase 3
+
+---
+
+### Phase 4: Background Subagents
+**Est. effort**: 2-3 days
+
+Non-blocking subagent execution. `spawn_subagent` returns immediately, results collected later.
+
+**Deliverables**:
+- Background task queue (reuses existing `tasks` table)
+- `spawn_subagent` tool that creates a task and returns immediately
+- `subagent_status` tool to poll completion
+- `subagent_result` tool to retrieve output
+- Background agent pane showing running/completed subagents
+- Notifications via hooks when background tasks complete
+
+**Files to create**: 3-5 files across server + web
+**Dependencies**: Phase 1 traces, Phase 2 session persistence
+
+---
+
+### Phase 5: Multi-modal + Cache Shape (Polish)
+**Est. effort**: 2-3 days
+
+Image/file attachment support + DeepSeek cache hit visualization.
+
+**Deliverables (Multi-modal)**:
+- Image/file attachment storage (tmpfs, referenced in message)
+- Forward image content through DeepSeek API's multimodal support
+- Render attached images in message bubble
+- Model can "see" screenshots, diagrams, UI mocks
+
+**Deliverables (Cache Shape)**:
+- Extract `prompt_cache_hit_tokens` from DeepSeek provider metadata
+- Build cache segment visualization (system prompt, tool schema, conversation)
+- Per-turn cache hit rate in trace viewer
+- Cumulative cache stats in session view
+
+**Files to create**: 3-5 files
+**Dependencies**: Phase 1 traces (for cache shape), existing DeepSeek integration
+
+---
+
+## Execution Strategy
+
+### Parallel Execution Waves
+
+```
+Wave 1 (Start Immediately):
+├── Phase 1: Trace system backend (tool_traces table + instrumentation) [deep]
+├── Phase 1: Trace viewer frontend [visual-engineering]
+└── Phase 2: Session persistence backbone [deep]
+
+Wave 2 (After Wave 1):
+├── Phase 3: Workflow engine sandbox + API surface [deep]
+├── Phase 3: Workflow file discovery + manager [unspecified-high]
+├── Phase 3: Workflow resumability cache [quick]
+└── Phase 4: Background subagent queue + tools [unspecified-high]
+
+Wave 3 (After Wave 2):
+├── Phase 4: Background agent pane + notifications [visual-engineering]
+├── Phase 5: Multi-modal attachment pipeline [deep]
+└── Phase 5: Cache shape telemetry UI [visual-engineering]
+
+Wave FINAL:
+├── F1: Plan compliance audit (oracle)
+├── F2: Code quality review (unspecified-high)
+├── F3: Integration QA (unspecified-high)
+└── F4: Scope fidelity check (deep)
+```
+
+---
+
+## TODOs
+
+> Phase 1: Trace System + Observability
+
+- [ ] 1. Create tool_traces DB table + migration
+
+- [ ] 2. Add tool_trace WS frame + contracts schema
+
+- [ ] 3. Instrument tool-phase.ts with start/end timing
+
+- [ ] 4. Add GET /api/chats/:id/traces endpoint
+
+- [ ] 5. Build trace viewer frontend component
+
+> Phase 2: Session Persistence + Resume
+
+- [ ] 6. Serialize agent state to DB on turn boundaries
+
+- [ ] 7. Restore state on WS reconnect
+
+- [ ] 8. Agent session timeline view
+
+> Phase 3: Dynamic Workflow Engine
+
+- [ ] 9. Create isolated-vm workflow sandbox
+
+- [ ] 10. Implement agent/parallel/pipeline primitives
+
+- [ ] 11. Workflow file discovery system
+
+- [ ] 12. Workflow manager + built-in catalog
+
+- [ ] 13. Workflow resumability (hash-based cache)
+
+- [ ] 14. Workflow UI integration with Orchestrator panel
+
+> Phase 4: Background Subagents
+
+- [ ] 15. Background task queue + spawn_subagent tool
+
+- [ ] 16. subagent_status + subagent_result tools
+
+- [ ] 17. Background agent pane
+
+> Phase 5: Multi-modal + Cache Shape
+
+- [ ] 18. Multi-modal attachment pipeline
+
+- [ ] 19. Image render in message bubble
+
+- [ ] 20. Cache shape telemetry data pipeline
+
+- [ ] 21. Cache shape visualization in trace viewer
+
+---
+
+## Success Criteria
+
+- Tool trace viewer shows every call with timing bars and token costs
+- Browser refresh preserves agent session state
+- Workflow scripts run in isolated sandbox with agent/parallel/pipeline
+- Re-running a workflow skips cached agents (hash-based)
+- Background subagents run independently, results collected later
+- Model can see attached images in chat
+- Cache hit rate visible per-turn and cumulative

CHANGELOG.md

@@ -2,6 +2,10 @@
 
 All notable changes per release tag. Most recent on top, ordered by tag creation date (which matches the git history). Tag names follow `vMAJOR.MINOR.PATCH-slug` — the slug describes what shipped, so the tag name alone is enough to recall the batch.
 
+## v2.8.18-deepseek-whale-lift — 2026-06-08
+
+Integrates DeepSeek API directly into BooChat and BooCoder via `@ai-sdk/deepseek`, replacing the generic `openai-compatible` wrapper. DeepSeek V4 models (`deepseek-v4-flash`, `deepseek-v4-pro`) with configurable thinking effort levels appear in both chat and coder pane model pickers. Full token tracking — cache hit tokens and reasoning tokens — flow from the API through new DB columns and WS frames into the UI message stats line. Lifts three high-value features from the Whale codebase: a schema-based tool input repair system that coerces types and unwraps markdown autolinks before Zod validation, a shell-based lifecycle hooks system (PreToolUse, PostToolUse, Stop, PreCompact, PostCompact) with JSON stdin/stdout contract, and per-MCP-server permissions (allow/ask/deny) gating tool execution.
+
 ## v2.8.0-fork-lifts — 2026-06-07
 
 Completes the eight fork-lift integrations from `/opt/forks` into BooCode: boocontext sidecar upgrade, LSP code intelligence, DCP clean-room pruning, institutional memory, subagent protocol enhancements, plugin hook host, inference reliability (tool-shim + loop detectors), and TokenScope token breakdown. Backfills edit safety guards (truncation + dropped imports) and the TokenScope analyzer/persist module. Closes the fork-lifts-mit epic.

apps/coder/src/conductor/types.ts

@@ -42,6 +42,14 @@ export type StepKind = 'agent' | 'code' | 'approval';
 
 export type TriggerRule = 'all_success' | 'one_success' | 'all_done';
 
+/** Possible statuses for a flow step (persisted in flow_steps.status). */
+export type StepStatus = 'pending' | 'running' | 'completed' | 'failed' | 'skipped' | 'cancelled' | 'timed_out';
+
+/** Retry policy for a step that times out. */
+export interface RetryConfig {
+  maxRetries: number;
+}
+
 export interface Step {
   /** unique id within the flow; other steps depend on it by this id */
   id: string;
@@ -59,6 +67,8 @@ export interface Step {
   run: (ctx: StepContext) => string | Promise<string>;
   /** optional guard — when it returns false the step is skipped (e.g. no repo) */
   when?: (ctx: StepContext) => boolean;
+  /** max retries on timeout (0 or unset = no retry) */
+  maxRetries?: number;
 }
 
 export interface Flow {

apps/coder/src/config.ts

@@ -50,6 +50,11 @@ const ConfigSchema = z.object({
   // only reaped after it's been untouched this long (avoids sweeping a dir mid
   // ensureSessionWorktree create). 1h default.
   ORPHAN_WORKTREE_GRACE_MS: z.coerce.number().int().positive().default(3_600_000),
+  DEEPSEEK_API_KEY: z.string().optional(),
+  DEEPSEEK_BASE_URL: z.string().url().default('https://api.deepseek.com'),
+  // v2.9.x: flow step timeout (default 5 min). When a 'running' step exceeds
+  // this duration, it is marked 'timed_out' and may be retried.
+  FLOW_STEP_TIMEOUT_MS: z.coerce.number().int().positive().default(300_000),
 });
 
 export type Config = z.infer<typeof ConfigSchema>;

apps/coder/src/schema.sql

@@ -266,7 +266,7 @@ CREATE INDEX IF NOT EXISTS claude_session_entries_key_idx ON claude_session_entr
 -- replaces it with the three-value list).
 ALTER TABLE agent_sessions DROP CONSTRAINT IF EXISTS agent_sessions_backend_chk;
 ALTER TABLE agent_sessions ADD CONSTRAINT agent_sessions_backend_chk
-  CHECK (backend IN ('opencode_server', 'acp_warm', 'claude_sdk'));
+  CHECK (backend IN ('opencode_server', 'acp_warm', 'claude_sdk', 'paseo'));
 
 -- LISTEN/NOTIFY fast path: every tasks INSERT (from any call site — routes,
 -- new_task tool, MCP server) fires pg_notify('tasks_new') in the same
@@ -340,11 +340,12 @@ CREATE INDEX IF NOT EXISTS flow_steps_task_id_idx ON flow_steps(task_id);
 -- edits above are no-ops on the existing DB (CREATE TABLE IF NOT EXISTS skips an
 -- existing table) — widen via the repo's DROP-IF-EXISTS → guarded-ADD discipline.
 -- Pure ADD of a new allowed value, so no row UPDATE is needed (no value renamed).
+-- v2.9.x: widen status CHECKs to include 'timed_out' for Task State Machine.
 ALTER TABLE flow_runs DROP CONSTRAINT IF EXISTS flow_runs_status_chk;
 DO $$ BEGIN
   IF NOT EXISTS (SELECT 1 FROM pg_constraint WHERE conname = 'flow_runs_status_chk') THEN
     ALTER TABLE flow_runs ADD CONSTRAINT flow_runs_status_chk
-      CHECK (status IN ('running', 'completed', 'failed', 'cancelled'));
+      CHECK (status IN ('running', 'completed', 'failed', 'cancelled', 'timed_out'));
   END IF;
 END $$;
 
@@ -352,10 +353,14 @@ ALTER TABLE flow_steps DROP CONSTRAINT IF EXISTS flow_steps_status_chk;
 DO $$ BEGIN
   IF NOT EXISTS (SELECT 1 FROM pg_constraint WHERE conname = 'flow_steps_status_chk') THEN
     ALTER TABLE flow_steps ADD CONSTRAINT flow_steps_status_chk
-      CHECK (status IN ('pending', 'running', 'completed', 'failed', 'skipped', 'cancelled'));
+      CHECK (status IN ('pending', 'running', 'completed', 'failed', 'skipped', 'cancelled', 'timed_out'));
   END IF;
 END $$;
 
+-- Task State Machine: retry columns for flow_steps.
+ALTER TABLE flow_steps ADD COLUMN IF NOT EXISTS retry_count INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE flow_steps ADD COLUMN IF NOT EXISTS max_retries INTEGER;
+
 -- Arena: battles + contestants + cross_examinations.
 -- project_id carries no FK (matches tasks.project_id + flow_runs.project_id convention).
 -- winner_contestant_id FK is deferred (forward reference): added via guarded ALTER below.

apps/coder/src/services/__tests__/flow-runner-decisions.test.ts

@@ -52,6 +52,7 @@ const emptyState = (over: Partial<SchedulerState> = {}): SchedulerState => ({
   skipped: new Set(),
   inFlight: new Set(),
   excluded: new Set(),
+  timedOut: new Set(),
   ...over,
 });
 

apps/coder/src/services/flow-runner-decisions.ts

@@ -33,11 +33,13 @@ export interface SchedulerState {
   readonly inFlight: ReadonlySet<string>;
   /** step ids pre-skipped at launch (band/when gating) — never given a row */
   readonly excluded: ReadonlySet<string>;
+  /** step ids that timed out (terminal — no retries remaining or not retriable) */
+  readonly timedOut: ReadonlySet<string>;
 }
 
-/** A dependency is satisfied once it is done, skipped, or excluded. */
+/** A dependency is satisfied once it is done, skipped, excluded, or timed out. */
 function isSatisfied(state: SchedulerState, id: string): boolean {
-  return state.done.has(id) || state.skipped.has(id) || state.excluded.has(id);
+  return state.done.has(id) || state.skipped.has(id) || state.excluded.has(id) || state.timedOut.has(id);
 }
 
 /**
@@ -118,25 +120,50 @@ export function isStuck(flow: Flow, state: SchedulerState): boolean {
  * - 'mark-cancelled': task was cancelled before the callback ran; propagate so
  *                     advance() cancels the run.
  */
+/**
+ * True when the step definition allows retries on timeout.
+ * Pure — no IO.
+ */
+export function isRetriable(step: { maxRetries?: number }): boolean {
+  return (step.maxRetries ?? 0) > 0;
+}
+
+/**
+ * True when the step has retries remaining.
+ * Pure — no IO.
+ */
+export function shouldRetry(maxRetries: number | undefined | null, retryCount: number): boolean {
+  return retryCount < (maxRetries ?? 0);
+}
+
 export type ResumeAction =
   | 'keep'
   | 're-dispatch'
   | 'mark-done'
   | 'mark-failed'
-  | 'mark-cancelled';
+  | 'mark-cancelled'
+  | 'retry';
 
 /**
  * Decide what to do with ONE flow step during startup resume (D-9). Pure.
  *
- * @param status    - flow_steps.status
+ * @param status     - flow_steps.status
- * @param taskId    - flow_steps.task_id (null for code steps or unstarted agent steps)
+ * @param taskId     - flow_steps.task_id (null for code steps or unstarted agent steps)
- * @param taskState - tasks.state for taskId, or null if the task row is absent
+ * @param taskState  - tasks.state for taskId, or null if the task row is absent
+ * @param retryCount - flow_steps.retry_count (default 0)
+ * @param maxRetries - flow_steps.max_retries (null = no retry)
  */
 export function reconcileResumeStep(
   status: string,
   taskId: string | null,
   taskState: string | null,
+  retryCount?: number,
+  maxRetries?: number | null,
 ): ResumeAction {
+  if (status === 'timed_out') {
+    if (shouldRetry(maxRetries, retryCount ?? 0)) return 'retry';
+    return 'mark-failed';
+  }
   if (status !== 'running') return 'keep';
   // Running step: decide by its task's current state.
   if (!taskId || taskState === null) return 're-dispatch'; // task gone or never created
@@ -198,7 +225,7 @@ export function evaluateTriggerRule(
  * decision per step. Pure — no IO.
  */
 export function reconcileRun(
-  steps: ReadonlyArray<{ stepId: string; taskId: string | null; status: string }>,
+  steps: ReadonlyArray<{ stepId: string; taskId: string | null; status: string; retryCount?: number; maxRetries?: number | null }>,
   taskStates: ReadonlyMap<string, string>,
 ): StepResumeDecision[] {
   return steps.map((step) => ({
@@ -207,6 +234,8 @@ export function reconcileRun(
       step.status,
       step.taskId,
       step.taskId ? (taskStates.get(step.taskId) ?? null) : null,
+      step.retryCount,
+      step.maxRetries,
     ),
   }));
 }

apps/coder/src/services/flow-runner.ts

@@ -100,6 +100,9 @@ interface FlowStepRow {
   status: string;
   chat_id: string | null;
   output: string | null;
+  updated_at: string | null;
+  retry_count: number | null;
+  max_retries: number | null;
 }
 
 export function createFlowRunner(deps: Deps): FlowRunner {
@@ -263,7 +266,8 @@ export function createFlowRunner(deps: Deps): FlowRunner {
     const dispatch: DispatchFn = (agent, task) => dispatchSubAgent(run.project_id, model, agent, task);
 
     const rows = await sql<FlowStepRow[]>`
-      SELECT step_id, kind, agent, status, chat_id, output FROM flow_steps WHERE run_id = ${runId}
+      SELECT step_id, kind, agent, status, chat_id, output, updated_at, retry_count, max_retries
+      FROM flow_steps WHERE run_id = ${runId}
     `;
 
     // Re-derive the excluded set (band/when pre-skips) from the flow def + input —
@@ -275,6 +279,7 @@ export function createFlowRunner(deps: Deps): FlowRunner {
     const done = new Set<string>();
     const skipped = new Set<string>();
     const inFlight = new Set<string>();
+    const timedOut = new Set<string>();
     const results: Record<string, string> = {};
     for (const r of rows) {
       switch (r.status) {
@@ -288,6 +293,9 @@ export function createFlowRunner(deps: Deps): FlowRunner {
         case 'running':
           inFlight.add(r.step_id);
           break;
+        case 'timed_out':
+          timedOut.add(r.step_id);
+          break;
         case 'failed':
           // A failed worker makes the deterministic report untrustworthy — fail the
           // whole run (matches the Phase-1 CLI, which throws on a dispatch failure).
@@ -300,10 +308,68 @@ export function createFlowRunner(deps: Deps): FlowRunner {
       }
     }
 
+    // ─── Timeout detection ───────────────────────────────────────────────────────
+    // Check running steps. If a step has been 'running' longer than
+    // FLOW_STEP_TIMEOUT_MS, mark it timed_out or re-dispatch if retriable.
+    const timeoutMs = config.FLOW_STEP_TIMEOUT_MS;
+    const nowDate = new Date();
+    let detectedTimedOut = false;
+    for (const r of rows) {
+      if (r.status !== 'running') continue;
+      if (!r.updated_at) continue;
+      const elapsed = nowDate.getTime() - new Date(r.updated_at).getTime();
+      if (elapsed <= timeoutMs) continue;
+
+      // Step has exceeded the timeout
+      detectedTimedOut = true;
+      const retryCount = r.retry_count ?? 0;
+      const maxRetries = r.max_retries ?? 0;
+
+      if (maxRetries > 0 && retryCount < maxRetries) {
+        // Retriable: re-dispatch the step with an incremented retry_count
+        const step = flow.steps.find((s) => s.id === r.step_id);
+        if (!step || step.kind !== 'agent') {
+          // Non-agent steps can't be retried via dispatch
+          inFlight.delete(r.step_id);
+          await failRun(runId, flow, input, model,
+            `step '${r.step_id}' timed out (non-retriable kind)`, r.step_id);
+          return;
+        }
+        inFlight.delete(r.step_id);
+        await sql`
+          UPDATE flow_steps
+          SET retry_count = ${retryCount + 1}, updated_at = clock_timestamp()
+          WHERE run_id = ${runId} AND step_id = ${r.step_id} AND status = 'running'
+        `;
+        await dispatchAgentStep(runId, run.project_id, model, step, ctx);
+        inFlight.add(r.step_id);
+        log.warn({ runId, stepId: r.step_id, retry: retryCount + 1, maxRetries },
+          'flow-runner: step timed out, retrying');
+      } else {
+        // Not retriable — mark as timed_out, fail the run
+        inFlight.delete(r.step_id);
+        await sql`
+          UPDATE flow_steps SET status = 'timed_out', updated_at = clock_timestamp()
+          WHERE run_id = ${runId} AND step_id = ${r.step_id} AND status = 'running'
+        `;
+        timedOut.add(r.step_id);
+        publishStep(runId, r.step_id, 'timed_out');
+        await failRun(runId, flow, input, model,
+          `step '${r.step_id}' timed out`, r.step_id);
+        return;
+      }
+    }
+
+    // If we modified any steps, re-query so the state sets reflect the latest DB.
+    if (detectedTimedOut) {
+      // Continue with the in-memory state we already adjusted above (inFlight/timedOut
+      // were mutated directly). No re-query needed.
+    }
+
     // Drain ready skips + code steps (synchronous), re-evaluating after each batch,
     // then dispatch the full ready agent wave and wait for their terminal callbacks.
     for (;;) {
-      const state: SchedulerState = { done, skipped, inFlight, excluded };
+      const state: SchedulerState = { done, skipped, inFlight, excluded, timedOut };
 
       if (isRunComplete(flow, state)) {
         await finishRun(runId, flow, input, results, model, dispatch);
@@ -545,7 +611,7 @@ export function createFlowRunner(deps: Deps): FlowRunner {
   function publishStep(
     runId: string,
     stepId: string,
-    status: 'running' | 'completed' | 'failed' | 'skipped' | 'cancelled' | 'blocked',
+    status: 'running' | 'completed' | 'failed' | 'skipped' | 'cancelled' | 'blocked' | 'timed_out',
     extra?: { run_status?: 'running' | 'completed' | 'failed' | 'cancelled'; report?: string },
   ): void {
     publishUser({
@@ -683,6 +749,38 @@ export function createFlowRunner(deps: Deps): FlowRunner {
         log.info({ runId, stepId: step.step_id, taskId: task!.id }, 'flow-runner: step re-dispatched on resume');
         break;
       }
+
+      case 'retry': {
+        // Like re-dispatch but increments retry_count and sets status to 'running'.
+        if (!step.input) {
+          await sql`
+            UPDATE flow_steps
+            SET status = 'failed', error = 'retry: no stored prompt',
+                updated_at = clock_timestamp()
+            WHERE run_id = ${runId} AND step_id = ${step.step_id}
+          `;
+          break;
+        }
+        const chatIdR = step.chat_id;
+        const [chatR] = chatIdR
+          ? await sql<{ session_id: string }[]>`SELECT session_id FROM chats WHERE id = ${chatIdR}`
+          : [];
+        const sessionIdR = chatR?.session_id ?? null;
+        const [taskR] = await sql<{ id: string }[]>`
+          INSERT INTO tasks (project_id, input, agent, model, mode_id, session_id, chat_id)
+          VALUES (${projectId}, ${step.input}, 'qwen', ${model}, 'plan', ${sessionIdR}, ${chatIdR})
+          RETURNING id
+        `;
+        await sql`
+          UPDATE flow_steps
+          SET task_id = ${taskR!.id}, retry_count = retry_count + 1, status = 'running',
+              updated_at = clock_timestamp()
+          WHERE run_id = ${runId} AND step_id = ${step.step_id}
+        `;
+        log.info({ runId, stepId: step.step_id, taskId: taskR!.id },
+          'flow-runner: step retried on resume');
+        break;
+      }
     }
   }
 
@@ -697,7 +795,9 @@ export function createFlowRunner(deps: Deps): FlowRunner {
       status: string;
       chat_id: string | null;
       input: string | null;
-    }[]>`SELECT step_id, task_id, status, chat_id, input FROM flow_steps WHERE run_id = ${run.id}`;
+      retry_count: number | null;
+      max_retries: number | null;
+    }[]>`SELECT step_id, task_id, status, chat_id, input, retry_count, max_retries FROM flow_steps WHERE run_id = ${run.id}`;
 
     // Load task states for all referenced tasks in one query.
     const taskIds = rows.map((r) => r.task_id).filter((id): id is string => id !== null);
@@ -710,7 +810,13 @@ export function createFlowRunner(deps: Deps): FlowRunner {
     }
 
     const decisions = reconcileRun(
-      rows.map((r) => ({ stepId: r.step_id, taskId: r.task_id, status: r.status })),
+      rows.map((r) => ({
+        stepId: r.step_id,
+        taskId: r.task_id,
+        status: r.status,
+        retryCount: r.retry_count ?? undefined,
+        maxRetries: r.max_retries,
+      })),
       taskStates,
     );
 
@@ -752,13 +858,13 @@ export function createFlowRunner(deps: Deps): FlowRunner {
     // Mark all non-terminal steps cancelled and collect in-flight task_ids.
     const steps = await sql<{ step_id: string; task_id: string | null; kind: string }[]>`
       SELECT step_id, task_id, kind FROM flow_steps
-      WHERE run_id = ${runId} AND status NOT IN ('completed', 'failed', 'cancelled', 'skipped')
+      WHERE run_id = ${runId} AND status NOT IN ('completed', 'failed', 'cancelled', 'skipped', 'timed_out')
     `;
 
     if (steps.length > 0) {
       await sql`
         UPDATE flow_steps SET status = 'cancelled', updated_at = clock_timestamp()
-        WHERE run_id = ${runId} AND status NOT IN ('completed', 'failed', 'cancelled', 'skipped')
+        WHERE run_id = ${runId} AND status NOT IN ('completed', 'failed', 'cancelled', 'skipped', 'timed_out')
       `;
       for (const s of steps) {
         if (s.kind === 'agent') publishStep(runId, s.step_id, 'cancelled', { run_status: 'cancelled' });

apps/coder/src/services/provider-snapshot.ts

@@ -29,6 +29,22 @@ interface AgentRow {
   last_probed_at: string | Date | null;
 }
 
+export async function fetchDeepSeekModels(config: Config): Promise<ProviderModel[]> {
+  if (!config.DEEPSEEK_API_KEY) return [];
+  try {
+    const baseURL = (config.DEEPSEEK_BASE_URL ?? 'https://api.deepseek.com').replace(/\/+$/, '');
+    const res = await fetch(`${baseURL}/v1/models`, {
+      headers: { Authorization: `Bearer ${config.DEEPSEEK_API_KEY}` },
+      signal: AbortSignal.timeout(5_000),
+    });
+    if (!res.ok) return [];
+    const parsed = (await res.json()) as { data?: Array<{ id: string }> };
+    return (parsed.data ?? []).map((m) => ({ id: m.id, label: m.id }));
+  } catch {
+    return [];
+  }
+}
+
 export async function fetchLlamaSwapModels(config: Config): Promise<ProviderModel[]> {
   try {
     const res = await fetch(`${config.LLAMA_SWAP_URL}/v1/models`);
@@ -256,7 +272,13 @@ export async function getProviderSnapshot(
   }
 
   const build = async (): Promise<ProviderSnapshotEntry[]> => {
-    const llamaModels = await fetchLlamaSwapModels(config);
+    const [llamaModels, deepseekModels] = await Promise.all([
+      fetchLlamaSwapModels(config),
+      fetchDeepSeekModels(config),
+    ]);
+    // Merge DeepSeek models into the llama-swap model pool so the boocode
+    // provider (which sources from llama-swap) also includes DeepSeek models.
+    const mergedModels = mergeModels(llamaModels, deepseekModels);
     const agents = await sql<AgentRow[]>`
       SELECT name, install_path, supports_acp, models, commands, label, transport, last_probed_at FROM available_agents
     `;
@@ -265,7 +287,7 @@ export async function getProviderSnapshot(
 
     const entries = await Promise.all(
       [...getResolvedRegistry().values()].map((resolved) =>
-        buildProviderEntry(resolved, agentMap.get(resolved.id), llamaModels, resolvedCwd, ttlMs, force),
+        buildProviderEntry(resolved, agentMap.get(resolved.id), mergedModels, resolvedCwd, ttlMs, force),
       ),
     );
 

apps/server/package.json

@@ -77,8 +77,9 @@
     "test": "vitest run"
   },
   "dependencies": {
-    "@boocode/contracts": "workspace:*",
+    "@ai-sdk/deepseek": "^2.0.35",
     "@ai-sdk/openai-compatible": "^2.0.47",
+    "@boocode/contracts": "workspace:*",
     "@fastify/static": "^7.0.4",
     "@fastify/websocket": "^10.0.1",
     "@modelcontextprotocol/sdk": "^1.29.0",

apps/server/src/config.ts

@@ -26,6 +26,14 @@ const ConfigSchema = z.object({
   FAST_MODEL: z.string().optional(),
   TASK_MODEL_URL: z.string().url().optional(),
   LLAMA_SIDECAR_URL: z.string().url().optional(),
+  // vDeepSeek: DeepSeek API key for direct API access. When set, models
+  // with IDs starting with 'deepseek-' route through DeepSeek's API instead
+  // of llama-swap. Defaults to empty (DeepSeek routing disabled).
+  DEEPSEEK_API_KEY: z.string().optional(),
+  // Optional base URL override for DeepSeek API. Defaults to api.deepseek.com.
+  DEEPSEEK_BASE_URL: z.string().url().default('https://api.deepseek.com'),
+  // vWhale hooks: path to hooks JSON config file. Missing file = no hooks.
+  HOOKS_CONFIG_PATH: z.string().default('/data/hooks.json'),
 });
 
 export type Config = z.infer<typeof ConfigSchema>;

apps/server/src/index.ts

@@ -18,8 +18,10 @@ import { registerCoderProxy } from './routes/coder-proxy.js';
 import { registerModelRoutes } from './routes/models.js';
 import { registerAgentRoutes } from './routes/agents.js';
 import { registerSkillsRoutes } from './routes/skills.js';
+import { registerTraceRoutes } from './routes/traces.js';
 import { registerToolsRoutes } from './routes/tools.js';
 import { registerAnalyticsRoutes } from './routes/analytics.js';
+import { registerMemoryRoutes } from './routes/memory.js';
 import { registerInferenceSettingsRoutes } from './routes/inference-settings.js';
 import { createInferenceRunner } from './services/inference/index.js';
 import { createBroker } from './services/broker.js';
@@ -31,6 +33,7 @@ import { loadMcpConfig } from './services/mcp-config.js';
 import { initialize as initMcp, getTools as getMcpTools, shutdown as shutdownMcp } from './services/mcp-client.js';
 import { appendMcpTools } from './services/tools.js';
 import { refreshToolNames, getAgentsForProject } from './services/agents.js';
+import { loadHooksConfig, createHookRunner } from './services/hooks.js';
 
 async function main() {
   const config = loadConfig();
@@ -123,8 +126,10 @@ async function main() {
   registerAgentRoutes(app, sql);
   registerSidebarRoutes(app, sql);
   registerChatRoutes(app, sql, broker);
+  registerTraceRoutes(app, sql);
   registerToolsRoutes(app, sql);
   registerAnalyticsRoutes(app, sql);
+  registerMemoryRoutes(app, sql);
   registerInferenceSettingsRoutes(app);
 
   // Batch 9.6: warm the skills cache at boot and surface the count. Empty or
@@ -136,11 +141,17 @@ async function main() {
     app.log.warn({ err }, 'skills boot walk failed');
   }
 
+  // vWhale hooks: load hook config and create runner. Missing file = no hooks.
+  loadHooksConfig(config.HOOKS_CONFIG_PATH);
+  const hookRunner = createHookRunner();
+  const hasHooks = Object.keys(loadHooksConfig(config.HOOKS_CONFIG_PATH).hooks).length > 0;
+
   const inference = createInferenceRunner(
     {
       sql,
       config,
       log: app.log,
+      hooks: hasHooks ? hookRunner : undefined,
       publish: (sessionId, frame) => {
         // v1.13.11-b: route through the typed publishFrame so the broker's
         // Zod gate validates every inference frame before delivery.
@@ -166,7 +177,7 @@ async function main() {
     // bubble up so the route can reply 500 — manual /compact failures
     // should be loud (the user just clicked a button).
     runCompaction: (chatId) =>
-      compaction.process({ sql, config, log: app.log, broker, chatId }),
+      compaction.process({ sql, config, log: app.log, broker, chatId, hooks: hasHooks ? hookRunner : undefined }),
     cancelInference: async (sessionId, chatId) => {
       return inference.cancel(sessionId, chatId);
     },

apps/server/src/routes/models.ts

@@ -2,26 +2,55 @@ import type { FastifyInstance } from 'fastify';
 import type { Config } from '../config.js';
 import type { ModelInfo } from '../types/api.js';
 
-interface LlamaSwapModelsResponse {
+interface ApiModelsResponse {
   data?: ModelInfo[];
 }
 
+const DEEPSEEK_STATIC_MODELS: ModelInfo[] = [
+  { id: 'deepseek-v4-flash', object: 'model', created: 0, owned_by: 'deepseek' },
+  { id: 'deepseek-v4-pro', object: 'model', created: 0, owned_by: 'deepseek' },
+];
+
 export function registerModelRoutes(app: FastifyInstance, config: Config): void {
   app.get('/api/models', async (_req, reply) => {
+    const models: ModelInfo[] = [];
+
+    // 1. Fetch llama-swap models
     try {
       const res = await fetch(`${config.LLAMA_SWAP_URL}/v1/models`);
-      if (!res.ok) {
+      if (res.ok) {
-        reply.code(502);
+        const parsed = (await res.json()) as ApiModelsResponse;
-        return { error: `llama-swap returned ${res.status}` };
+        if (parsed.data) models.push(...parsed.data);
       }
-      const parsed = (await res.json()) as LlamaSwapModelsResponse;
+    } catch {
-      return parsed.data ?? [];
+      // llama-swap unreachable — proceed with whatever we have
-    } catch (err) {
-      reply.code(502);
-      return {
-        error: 'failed to reach llama-swap',
-        details: err instanceof Error ? err.message : String(err),
-      };
     }
+
+    // 2. If DeepSeek is configured, fetch live models from their API
+    if (config.DEEPSEEK_API_KEY) {
+      try {
+        const baseURL = (config.DEEPSEEK_BASE_URL ?? 'https://api.deepseek.com').replace(/\/+$/, '');
+        const res = await fetch(`${baseURL}/v1/models`, {
+          headers: { Authorization: `Bearer ${config.DEEPSEEK_API_KEY}` },
+          signal: AbortSignal.timeout(5_000),
+        });
+        if (res.ok) {
+          const parsed = (await res.json()) as ApiModelsResponse;
+          if (parsed.data) models.push(...parsed.data);
+        } else {
+          // API call failed — fall back to static model list
+          models.push(...DEEPSEEK_STATIC_MODELS);
+        }
+      } catch {
+        // Network error — fall back to static model list
+        models.push(...DEEPSEEK_STATIC_MODELS);
+      }
+    }
+
+    if (models.length === 0) {
+      reply.code(502);
+      return { error: 'no models available from any provider' };
+    }
+    return models;
   });
 }

apps/server/src/routes/traces.ts

@@ -0,0 +1,38 @@
+import type { FastifyInstance } from 'fastify';
+import type { Sql } from '../db.js';
+import type { ToolTrace } from '../services/tool-traces.js';
+
+export function registerTraceRoutes(app: FastifyInstance, sql: Sql): void {
+  app.get<{ Params: { id: string }; Querystring: { limit?: string; offset?: string } }>(
+    '/api/chats/:id/traces',
+    async (req, reply) => {
+      const chat = await sql`SELECT id FROM chats WHERE id = ${req.params.id}`;
+      if (chat.length === 0) {
+        reply.code(404);
+        return { error: 'chat not found' };
+      }
+
+      const limit = Math.min(Math.max(Number(req.query.limit) || 50, 1), 200);
+      const offset = Math.max(Number(req.query.offset) || 0, 0);
+
+      const rows = await sql<ToolTrace[]>`
+        SELECT * FROM tool_traces
+        WHERE chat_id = ${req.params.id}
+        ORDER BY started_at ASC
+        LIMIT ${limit}
+        OFFSET ${offset}
+      `;
+
+      const [countRow] = await sql<{ count: number }[]>`
+        SELECT count(*)::int AS count FROM tool_traces WHERE chat_id = ${req.params.id}
+      `;
+
+      return {
+        data: rows,
+        total: countRow?.count ?? 0,
+        limit,
+        offset,
+      };
+    },
+  );
+}

apps/server/src/routes/ws.ts

@@ -3,6 +3,7 @@ import type { Sql } from '../db.js';
 import type { Broker } from '../services/broker.js';
 import type { Message } from '../types/api.js';
 import { MESSAGE_COLUMNS } from '../services/message-columns.js';
+import { loadAgentSnapshot } from '../services/session-snapshots.js';
 
 export function registerWebSocket(
   app: FastifyInstance,
@@ -33,6 +34,24 @@ export function registerWebSocket(
       `;
       socket.send(JSON.stringify({ type: 'snapshot', messages }));
 
+      // v2.7.x: on reconnect, restore agent snapshot state so the frontend
+      // knows there's an ongoing agent turn. Best-effort per chat; most
+      // sessions won't have any snapshots.
+      const chats = await sql<{ id: string }[]>`SELECT id FROM chats WHERE session_id = ${sessionId}`;
+      for (const chat of chats) {
+        const agentSnapshot = await loadAgentSnapshot(sql, chat.id).catch(() => null);
+        if (agentSnapshot) {
+          socket.send(JSON.stringify({
+            type: 'agent_snapshot',
+            chat_id: chat.id,
+            agent: agentSnapshot.agent,
+            model: agentSnapshot.model,
+            mode: agentSnapshot.mode,
+            turn_number: agentSnapshot.turn_number,
+          }));
+        }
+      }
+
       const unsubscribe = broker.subscribe(sessionId, (frame) => {
         if (socket.readyState !== socket.OPEN) return;
         try {

apps/server/src/schema.sql

@@ -32,11 +32,18 @@ CREATE TABLE IF NOT EXISTS messages (
   content TEXT NOT NULL DEFAULT '',
   status TEXT NOT NULL DEFAULT 'complete',
   last_seq INT NOT NULL DEFAULT 0,
+  cache_tokens INTEGER,
+  reasoning_tokens INTEGER,
   created_at TIMESTAMPTZ NOT NULL DEFAULT clock_timestamp()
 );
 
 CREATE INDEX IF NOT EXISTS idx_messages_session ON messages(session_id, created_at);
 
+-- vDeepSeek: add cache/reasoning token columns early so messages_with_parts
+-- view (defined below) can reference them. IF NOT EXISTS guards re-runs.
+ALTER TABLE messages ADD COLUMN IF NOT EXISTS cache_tokens INTEGER;
+ALTER TABLE messages ADD COLUMN IF NOT EXISTS reasoning_tokens INTEGER;
+
 -- v1.13.0: granular message parts table. v1.13.20: legacy tool_calls/
 -- tool_results columns dropped; message_parts is now the sole source of
 -- truth for tool calls, tool results, and reasoning. ON DELETE CASCADE
@@ -126,8 +133,8 @@ SELECT
      FROM message_parts p
     WHERE p.message_id = m.id AND p.kind = 'reasoning' AND p.hidden_at IS NULL) AS reasoning_parts,
   -- NEW columns MUST be appended at the end: CREATE OR REPLACE VIEW can't
-  -- reorder/rename existing columns (42P16). m.model added last.
+  -- reorder/rename existing columns (42P16). cache_tokens and reasoning_tokens added last.
-  m.model
+  m.model, m.cache_tokens, m.reasoning_tokens
 FROM messages m;
 
 -- v1.13.20: drop legacy tool_calls/tool_results columns. Reads have routed
@@ -407,3 +414,55 @@ END $$;
 
 -- Remove the v2.0.5 arena_id column (replaced by the new Arena feature).
 ALTER TABLE tasks DROP COLUMN IF EXISTS arena_id;
+
+-- v2.x-tool-traces: per-call tool execution records for observability.
+CREATE TABLE IF NOT EXISTS tool_traces (
+  id               UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+  session_id       UUID NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,
+  chat_id          UUID NOT NULL REFERENCES chats(id) ON DELETE CASCADE,
+  message_id       UUID REFERENCES messages(id) ON DELETE SET NULL,
+  turn_number      INTEGER NOT NULL,
+  tool_name        TEXT NOT NULL,
+  tool_input       JSONB NOT NULL,
+  tool_output      TEXT,
+  started_at       TIMESTAMPTZ NOT NULL DEFAULT clock_timestamp(),
+  finished_at      TIMESTAMPTZ,
+  latency_ms       INTEGER,
+  tokens_used      INTEGER,
+  cache_tokens     INTEGER,
+  reasoning_tokens INTEGER,
+  error            TEXT,
+  outcome          TEXT,
+  created_at       TIMESTAMPTZ NOT NULL DEFAULT clock_timestamp()
+);
+
+CREATE INDEX IF NOT EXISTS idx_tool_traces_chat ON tool_traces(chat_id, created_at);
+
+-- v2.x-tool-traces: active tool call state for in-flight instrumentation.
+CREATE TABLE IF NOT EXISTS tool_trace_states (
+  id               UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+  session_id       UUID NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,
+  chat_id          UUID NOT NULL REFERENCES chats(id) ON DELETE CASCADE,
+  message_id       UUID REFERENCES messages(id) ON DELETE SET NULL,
+  turn_number      INTEGER NOT NULL,
+  tool_name        TEXT NOT NULL,
+  tool_input       JSONB NOT NULL,
+  started_at       TIMESTAMPTZ NOT NULL DEFAULT clock_timestamp()
+);
+
+-- agent_snapshots: persistent agent session state for cross-refresh resume.
+CREATE TABLE IF NOT EXISTS agent_snapshots (
+  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+  session_id UUID NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,
+  chat_id UUID NOT NULL REFERENCES chats(id) ON DELETE CASCADE,
+  model TEXT NOT NULL,
+  agent TEXT,
+  mode TEXT,
+  turn_number INTEGER NOT NULL DEFAULT 0,
+  messages JSONB NOT NULL DEFAULT '[]'::jsonb,
+  tool_states JSONB NOT NULL DEFAULT '[]'::jsonb,
+  created_at TIMESTAMPTZ NOT NULL DEFAULT clock_timestamp(),
+  updated_at TIMESTAMPTZ NOT NULL DEFAULT clock_timestamp()
+);
+CREATE INDEX IF NOT EXISTS idx_agent_snapshots_chat ON agent_snapshots(chat_id);
+CREATE UNIQUE INDEX IF NOT EXISTS idx_agent_snapshots_chat_unique ON agent_snapshots(chat_id);

apps/server/src/services/agents.ts

@@ -106,6 +106,8 @@ interface ParsedFrontmatter {
   // allowed" — the model responds text-only.
   steps?: number;
   llama_extra_args?: string[];
+  // vDeepSeek: thinking effort for DeepSeek V4 models.
+  reasoning_effort?: string;
 }
 
 // P5: table-driven validation for the "soft-range" numeric frontmatter fields.
@@ -386,6 +388,7 @@ function parseAgentSection(section: RawSection): Omit<Agent, 'source'> {
     max_tool_calls: typeof fm.max_tool_calls === 'number' ? fm.max_tool_calls : null,
     steps: typeof fm.steps === 'number' ? fm.steps : null,
     llama_extra_args: Array.isArray(fm.llama_extra_args) ? fm.llama_extra_args : null,
+    reasoning_effort: typeof fm.reasoning_effort === 'string' ? (fm.reasoning_effort as Agent['reasoning_effort']) : null,
   };
 }
 

apps/server/src/services/codecontext_client.ts

@@ -1,3 +1,10 @@
+// DEPRECATED (Phase 4, Domain 2, v2.8.14): This HTTP client routes through
+// the Go codecontext sidecar (http://codecontext:8080). Superseded by the
+// boocontext MCP server. New callers should use boocontext MCP tool wrappers
+// directly. Keep this file for backward compatibility — the 16 existing
+// codecontext tool wrappers (under tools/codecontext/) still call through
+// callCodecontext(). Remove after full migration.
+//
 // v1.12 Track B.2: shared HTTP client for the codecontext sidecar. The 8
 // per-tool wrappers under tools/codecontext/ all funnel through callCodecontext
 // — they're thin adapters that supply toolName + args + projectPath. The
@@ -19,6 +26,7 @@
 import { access, copyFile, realpath } from 'node:fs/promises';
 import { isAbsolute, join, resolve, sep } from 'node:path';
 import { truncateIfNeeded } from './truncate.js';
+import { callBoocontext } from './boocontext_client.js';
 
 // v1.13.12 fix: codecontext crashes on empty source files (upstream issue #37)
 // when it can't ignore them. The .codecontextignore.template ships with the
@@ -112,6 +120,16 @@ export async function callCodecontext(
   req: CodecontextRequest,
   fetcher: typeof fetch = fetch,
 ): Promise<CodecontextResponse> {
+  // Phase 4: try boocontext MCP first. Falls back to the HTTP sidecar if the
+  // MCP server is not available or the tool doesn't exist there.
+  try {
+    return await callBoocontext({ toolName: req.toolName, args: req.args });
+  } catch (err) {
+    console.warn(
+      `[codecontext_client] boocontext MCP unavailable for "${req.toolName}", falling back to HTTP sidecar: ${err instanceof Error ? err.message : String(err)}`,
+    );
+  }
+
   // Step 1: realpath the project root, then realpath the requested target_dir
   // (defaulting to projectPath when the caller didn't pass one — the 12 wrappers
   // never pass target_dir; tests can override). A non-existent target_dir

apps/server/src/services/compaction.ts

@@ -24,6 +24,8 @@ import { SUMMARY_TEMPLATE } from './compaction-prompt.js';
 import * as modelContextLookup from './model-context.js';
 import { SENTINEL_KINDS } from './inference/sentinels.js';
 import type { OpenAiMessage } from './inference/payload.js';
+import { resolveModelEndpoint } from './inference/provider.js';
+import type { HookRunner } from './hooks.js';
 
 // v1.13.9: ratio-only overflow trigger. Fires compaction at 85% of ctx_max
 // (opencode session/overflow.ts pattern). Replaces the v1.11.0-era
@@ -346,20 +348,22 @@ interface CompletionResult {
   completionTokens: number;
 }
 
-async function callLlamaSwap(
+async function callLlm(
   config: Config,
   model: string,
   messages: OpenAiMessage[],
   log: FastifyBaseLogger,
 ): Promise<CompletionResult> {
-  const res = await fetch(`${config.LLAMA_SWAP_URL}/v1/chat/completions`, {
+  const { url, headers, model: resolvedModel } = resolveModelEndpoint(config, model);
+  const res = await fetch(`${url}/v1/chat/completions`, {
     method: 'POST',
-    headers: { 'Content-Type': 'application/json' },
+    headers,
-    body: JSON.stringify({ model, messages, stream: false }),
+    body: JSON.stringify({ model: resolvedModel, messages, stream: false }),
   });
   if (!res.ok) {
     const text = await res.text().catch(() => '');
-    throw new Error(`llama-swap returned ${res.status}: ${text.slice(0, 200)}`);
+    const prefix = model.startsWith('deepseek-') ? 'deepseek' : 'llama-swap';
+    throw new Error(`${prefix} returned ${res.status}: ${text.slice(0, 200)}`);
   }
   const json = (await res.json()) as {
     choices?: Array<{ message?: { content?: string } }>;
@@ -383,6 +387,8 @@ export interface ProcessInput {
   log: FastifyBaseLogger;
   broker: Broker;
   chatId: string;
+  /** vWhale: lifecycle hooks runner. Undefined when no hooks configured. */
+  hooks?: HookRunner;
 }
 
 // Runs one round of anchored rolling compaction on `chatId`. No-ops cleanly
@@ -497,6 +503,17 @@ export async function process(input: ProcessInput): Promise<void> {
     at: new Date().toISOString(),
   });
 
+  // vWhale: PreCompact hook (best-effort, non-blocking).
+  const msgBefore = messages.length;
+  if (input.hooks) {
+    input.hooks.run('PreCompact', {
+      event: 'PreCompact',
+      session_id: sessionId,
+      chat_id: chatId,
+      messages_before: msgBefore,
+    }).catch(() => {});
+  }
+
   // try/finally so the dot ALWAYS drops back to idle, even if the LLM call
   // throws or a downstream DB write fails. The succeeded flag gates the
   // 'compacted' frame + final log: we only signal completion to the UI when
@@ -506,7 +523,7 @@ export async function process(input: ProcessInput): Promise<void> {
   let result: CompletionResult | undefined;
   try {
     // 7. Single completion (no tools). Throws on llama-swap failure.
-    result = await callLlamaSwap(config, session.model, payload, log);
+    result = await callLlm(config, session.model, payload, log);
 
     // 7b. v1.11.3: fetch the model's true context window from llama-swap's
     // /upstream/<model>/props (the streaming completion doesn't carry it).
@@ -558,6 +575,18 @@ export async function process(input: ProcessInput): Promise<void> {
     `;
 
     succeeded = true;
+
+    // vWhale: PostCompact hook (best-effort, non-blocking).
+    if (input.hooks) {
+      input.hooks.run('PostCompact', {
+        event: 'PostCompact',
+        session_id: sessionId,
+        chat_id: chatId,
+        messages_before: msgBefore,
+        messages_after: sel.head.length,
+        summary: (result?.content ?? '').slice(0, 500),
+      }).catch(() => {});
+    }
   } finally {
     // Always restore the dot. Status='idle' (not 'error') even on failure —
     // the caller logs/re-surfaces the error separately; the dot doesn't

apps/server/src/services/hooks.ts

@@ -0,0 +1,299 @@
+/**
+ * vWhale: lifecycle hook runner. Hooks are shell commands that fire at key
+ * points in the inference pipeline. Each hook receives a JSON payload on
+ * stdin and can return JSON on stdout to influence behavior.
+ *
+ * Inspired by Whale's hook system with 11 lifecycle events. BooCode
+ * implements the most relevant subset: PreToolUse, PostToolUse,
+ * UserPromptSubmit, Stop, PreCompact, PostCompact.
+ *
+ * Config: JSON file at HOOKS_CONFIG_PATH (default /data/hooks.json).
+ * Format:
+ * ```json
+ * {
+ *   "hooks": {
+ *     "PreToolUse": [
+ *       { "match": "shell_run", "command": "python3 /data/hooks/check_shell.py", "timeout": 30 }
+ *     ],
+ *     "Stop": [
+ *       { "command": "node /data/hooks/log_turn.mjs" }
+ *     ]
+ *   }
+ * }
+ * ```
+ */
+
+import { spawn } from 'node:child_process';
+import { readFileSync, existsSync } from 'node:fs';
+import type { FastifyBaseLogger } from 'fastify';
+
+// ─── Events ───────────────────────────────────────────────────────────────
+
+export type HookEvent =
+  | 'PreToolUse'
+  | 'PostToolUse'
+  | 'UserPromptSubmit'
+  | 'Stop'
+  | 'PreCompact'
+  | 'PostCompact';
+
+const ALL_EVENTS: HookEvent[] = [
+  'PreToolUse',
+  'PostToolUse',
+  'UserPromptSubmit',
+  'Stop',
+  'PreCompact',
+  'PostCompact',
+];
+
+// ─── Config ────────────────────────────────────────────────────────────────
+
+export interface HookConfig {
+  /** Glob or exact tool name to match (PreToolUse/PostToolUse only). Omit or '*' for all. */
+  match?: string;
+  /** Shell command to run. Receives JSON payload on stdin. */
+  command: string;
+  /** Timeout in seconds (default 30). */
+  timeout?: number;
+}
+
+export interface HooksConfig {
+  hooks: Partial<Record<HookEvent, HookConfig[]>>;
+}
+
+// ─── Payloads ──────────────────────────────────────────────────────────────
+
+export interface PreToolUsePayload {
+  event: 'PreToolUse';
+  session_id: string;
+  tool_name: string;
+  tool_args: Record<string, unknown>;
+}
+
+export interface PostToolUsePayload {
+  event: 'PostToolUse';
+  session_id: string;
+  tool_name: string;
+  tool_args: Record<string, unknown>;
+  tool_result: unknown;
+  tool_error?: string;
+}
+
+export interface UserPromptSubmitPayload {
+  event: 'UserPromptSubmit';
+  session_id: string;
+  chat_id: string;
+  prompt: string;
+}
+
+export interface StopPayload {
+  event: 'Stop';
+  session_id: string;
+  chat_id: string;
+  last_assistant_text: string;
+  turn: number;
+}
+
+export interface PreCompactPayload {
+  event: 'PreCompact';
+  session_id: string;
+  chat_id: string;
+  messages_before: number;
+}
+
+export interface PostCompactPayload {
+  event: 'PostCompact';
+  session_id: string;
+  chat_id: string;
+  messages_before: number;
+  messages_after: number;
+  summary: string;
+}
+
+export type HookPayload =
+  | PreToolUsePayload
+  | PostToolUsePayload
+  | UserPromptSubmitPayload
+  | StopPayload
+  | PreCompactPayload
+  | PostCompactPayload;
+
+// ─── Response ──────────────────────────────────────────────────────────────
+
+export type HookDecision = 'pass' | 'warn' | 'block';
+
+export interface HookResponse {
+  decision?: HookDecision;
+  reason?: string;
+  /** When present, replaces the original tool args / user prompt. */
+  updated_input?: Record<string, unknown> | string;
+  /** Injected into the model's context for the next turn. */
+  additional_context?: string;
+}
+
+// ─── Runner ────────────────────────────────────────────────────────────────
+
+export interface HookRunner {
+  /** Run all hooks for the given event. Returns the effective response. */
+  run(event: HookEvent, payload: HookPayload, log?: FastifyBaseLogger): Promise<HookResponse>;
+}
+
+let hooksConfig: HooksConfig | null = null;
+let hooksPath: string | null = null;
+
+/** Load hooks config from disk. Missing file = no hooks. Never throws. */
+export function loadHooksConfig(path: string): HooksConfig {
+  hooksPath = path;
+  if (!existsSync(path)) {
+    hooksConfig = { hooks: {} };
+    return hooksConfig;
+  }
+  try {
+    const raw = readFileSync(path, 'utf8');
+    const parsed = JSON.parse(raw) as HooksConfig;
+    hooksConfig = {
+      hooks: { ...parsed.hooks },
+    };
+    // Validate event names
+    for (const event of Object.keys(hooksConfig.hooks)) {
+      if (!ALL_EVENTS.includes(event as HookEvent)) {
+        console.warn(`hooks: unknown event '${event}' in ${path} — ignoring`);
+        delete hooksConfig.hooks[event as HookEvent];
+      }
+    }
+  } catch (err) {
+    console.error(`hooks: failed to load ${path}`, err);
+    hooksConfig = { hooks: {} };
+  }
+  return hooksConfig;
+}
+
+/** Reload the config file (call after a PATCH). */
+export function reloadHooksConfig(): HooksConfig {
+  if (hooksPath) return loadHooksConfig(hooksPath);
+  hooksConfig = { hooks: {} };
+  return hooksConfig;
+}
+
+function getConfig(): HooksConfig {
+  return hooksConfig ?? { hooks: {} };
+}
+
+/** Create a HookRunner for the current config. */
+export function createHookRunner(): HookRunner {
+  return {
+    async run(event, payload, log): Promise<HookResponse> {
+      const configs = getConfig().hooks[event];
+      if (!configs || configs.length === 0) return { decision: 'pass' };
+
+      // Pre-filter by match pattern for tool events
+      const toolName = 'tool_name' in payload ? (payload as PreToolUsePayload).tool_name : undefined;
+
+      let effective: HookResponse = { decision: 'pass' };
+
+      for (const cfg of configs) {
+        // Skip if match doesn't apply
+        if (toolName && cfg.match && cfg.match !== '*' && cfg.match !== toolName) continue;
+
+        const result = await runSingleHook(cfg, payload, log);
+        // Merge decisions: block > warn > pass
+        if (result.decision === 'block') {
+          effective = { ...result, decision: 'block' };
+          break; // block is terminal
+        }
+        if (result.decision === 'warn' && effective.decision !== 'block') {
+          effective = { ...result, decision: 'warn' };
+        }
+        // Merge additional_context and updated_input
+        if (result.additional_context) {
+          effective.additional_context = effective.additional_context
+            ? effective.additional_context + '\n' + result.additional_context
+            : result.additional_context;
+        }
+        if (result.updated_input && !effective.updated_input) {
+          effective.updated_input = result.updated_input;
+        }
+      }
+
+      return effective;
+    },
+  };
+}
+
+async function runSingleHook(
+  cfg: HookConfig,
+  payload: HookPayload,
+  log?: FastifyBaseLogger,
+): Promise<HookResponse> {
+  const timeoutMs = (cfg.timeout ?? 30) * 1000;
+
+  return new Promise((resolve) => {
+    const child = spawn('sh', ['-c', cfg.command], {
+      stdio: ['pipe', 'pipe', 'pipe'],
+      timeout: timeoutMs,
+      env: { ...process.env },
+    });
+
+    const stdout: Buffer[] = [];
+    const stderr: Buffer[] = [];
+
+    child.stdout.on('data', (chunk: Buffer) => stdout.push(chunk));
+    child.stderr.on('data', (chunk: Buffer) => stderr.push(chunk));
+
+    let settled = false;
+    const timer = setTimeout(() => {
+      if (!settled) {
+        settled = true;
+        child.kill('SIGTERM');
+        log?.warn({ event: payload.event, command: cfg.command }, 'hooks: timeout');
+        resolve({ decision: 'warn', reason: 'hook timed out' });
+      }
+    }, timeoutMs);
+
+    child.on('error', (err) => {
+      if (!settled) {
+        settled = true;
+        clearTimeout(timer);
+        log?.warn({ err, event: payload.event }, 'hooks: spawn error');
+        resolve({ decision: 'warn', reason: `hook failed: ${err.message}` });
+      }
+    });
+
+    child.on('close', (code) => {
+      if (settled) return;
+      settled = true;
+      clearTimeout(timer);
+
+      const out = Buffer.concat(stdout).toString('utf8').trim();
+      const errOut = Buffer.concat(stderr).toString('utf8').trim();
+
+      if (code !== 0 && !out) {
+        log?.warn({ event: payload.event, code, stderr: errOut.slice(0, 200) }, 'hooks: non-zero exit');
+        resolve({ decision: 'warn', reason: `hook exited ${code}` });
+        return;
+      }
+
+      // Parse stdout as JSON response
+      if (out) {
+        try {
+          const parsed = JSON.parse(out) as HookResponse;
+          resolve(parsed);
+          return;
+        } catch {
+          // Not JSON — treat as pass with stdout as context
+          if (out.length > 0) {
+            resolve({ decision: 'pass', additional_context: out });
+            return;
+          }
+        }
+      }
+
+      resolve({ decision: 'pass' });
+    });
+
+    // Write payload to stdin
+    const json = JSON.stringify(payload);
+    child.stdin.write(json);
+    child.stdin.end();
+  });
+}

apps/server/src/services/inference/error-handler.ts

@@ -122,6 +122,8 @@ export async function finalizeStreamedRow(
     completionTokens: number | null;
     promptTokens: number | null;
     startedAt: string | null;
+    cacheTokens?: number | null;
+    reasoningTokens?: number | null;
     beforeComplete?: () => Promise<void>;
   },
 ): Promise<void> {
@@ -137,6 +139,8 @@ export async function finalizeStreamedRow(
         tokens_used = ${opts.completionTokens},
         ctx_used = ${opts.promptTokens},
         ctx_max = ${nCtx},
+        cache_tokens = ${opts.cacheTokens ?? null},
+        reasoning_tokens = ${opts.reasoningTokens ?? null},
         finished_at = clock_timestamp()
     WHERE id = ${opts.messageId}
     RETURNING tokens_used, ctx_used, ctx_max, finished_at
@@ -149,6 +153,8 @@ export async function finalizeStreamedRow(
     tokens_used: updated?.tokens_used ?? null,
     ctx_used: updated?.ctx_used ?? null,
     ctx_max: updated?.ctx_max ?? null,
+    cache_tokens: opts.cacheTokens ?? null,
+    reasoning_tokens: opts.reasoningTokens ?? null,
     started_at: opts.startedAt,
     finished_at: updated?.finished_at ?? null,
     model: opts.model,
@@ -188,7 +194,7 @@ export async function finalizeCompletion(
 ): Promise<void> {
   const { sessionId, chatId, assistantMessageId } = args;
   const content = stripToolMarkup(result.content, { final: true });
-  const { finishReason, promptTokens, completionTokens } = result;
+  const { finishReason, promptTokens, completionTokens, cacheReadTokens, reasoningTokens } = result;
 
   // v1.11.3: see executeToolPhase for the rationale.
   const mctx = await modelContext.getModelContext(session.model);
@@ -203,6 +209,8 @@ export async function finalizeCompletion(
         tokens_used = ${completionTokens},
         ctx_used = ${promptTokens},
         ctx_max = ${nCtx},
+        cache_tokens = ${cacheReadTokens ?? null},
+        reasoning_tokens = ${reasoningTokens ?? null},
         model = ${session.model},
         finished_at = clock_timestamp()
     WHERE id = ${assistantMessageId}
@@ -268,6 +276,8 @@ export async function finalizeCompletion(
     tokens_used: updated?.tokens_used ?? null,
     ctx_used: updated?.ctx_used ?? null,
     ctx_max: updated?.ctx_max ?? null,
+    cache_tokens: cacheReadTokens ?? null,
+    reasoning_tokens: reasoningTokens ?? null,
     started_at: startedAt,
     finished_at: updated?.finished_at ?? null,
     model: session.model,

apps/server/src/services/inference/provider.ts

@@ -1,4 +1,5 @@
 import { createOpenAICompatible } from '@ai-sdk/openai-compatible';
+import { createDeepSeek } from '@ai-sdk/deepseek';
 import type { LanguageModel } from 'ai';
 
 // v1.13.1-A: AI SDK provider against llama-swap. baseURL is threaded from
@@ -11,6 +12,12 @@ import type { LanguageModel } from 'ai';
 // llama-sidecar instead. A fresh provider is created per call (not cached)
 // because the X-Agent-Flags header varies per agent. The llama-swap path
 // stays cached since it has no per-request headers.
+//
+// vDeepSeek: when the model ID starts with 'deepseek-' and DEEPSEEK_API_KEY
+// is set, route through the official @ai-sdk/deepseek provider (not
+// openai-compatible) so DeepSeek-specific features work: providerMetadata
+// with promptCacheHitTokens/promptCacheMissTokens, reasoning via
+// LanguageModelV4Usage.outputTokens.reasoning, and thinking-mode options.
 
 const swapCache = new Map<string, ReturnType<typeof createOpenAICompatible>>();
 
@@ -41,7 +48,28 @@ function sidecarProvider(
   });
 }
 
-export type InferenceRoute = 'swap' | 'sidecar';
+const DEEPSEEK_MODEL_PREFIX = 'deepseek-';
+
+export function isDeepSeekModel(modelId: string): boolean {
+  return modelId.startsWith(DEEPSEEK_MODEL_PREFIX);
+}
+
+let deepseekProviderCache: ReturnType<typeof createDeepSeek> | null = null;
+
+function getDeepSeekProvider(
+  apiKey: string,
+  baseURL: string,
+): ReturnType<typeof createDeepSeek> {
+  if (!deepseekProviderCache) {
+    deepseekProviderCache = createDeepSeek({
+      apiKey,
+      baseURL,
+    });
+  }
+  return deepseekProviderCache;
+}
+
+export type InferenceRoute = 'swap' | 'sidecar' | 'deepseek';
 
 export interface RoutingInfo {
   route: InferenceRoute;
@@ -55,12 +83,21 @@ interface AgentLike {
 interface ConfigLike {
   LLAMA_SWAP_URL: string;
   LLAMA_SIDECAR_URL?: string;
+  DEEPSEEK_API_KEY?: string;
+  DEEPSEEK_BASE_URL?: string;
 }
 
 export function resolveRoute(
   agent: AgentLike | null,
   config?: ConfigLike,
+  modelId?: string,
 ): RoutingInfo {
+  // vDeepSeek: if the model starts with deepseek- and DEEPSEEK_API_KEY is set,
+  // route through the DeepSeek provider. Checked first so DeepSeek models
+  // always bypass llama-swap/sidecar even when those are also configured.
+  if (modelId?.startsWith(DEEPSEEK_MODEL_PREFIX) && config?.DEEPSEEK_API_KEY) {
+    return { route: 'deepseek', flags: null };
+  }
   // When llama_extra_args are explicitly set, route through sidecar with them.
   const flags = agent?.llama_extra_args;
   if (flags && flags.length > 0) {
@@ -80,7 +117,13 @@ export function upstreamModel(
   modelId: string,
   agent?: AgentLike | null,
 ): LanguageModel {
-  const { route, flags } = resolveRoute(agent ?? null, config);
+  const { route, flags } = resolveRoute(agent ?? null, config, modelId);
+  if (route === 'deepseek') {
+    return getDeepSeekProvider(
+      config.DEEPSEEK_API_KEY!,
+      config.DEEPSEEK_BASE_URL ?? 'https://api.deepseek.com',
+    ).chat(modelId);
+  }
   if (route === 'sidecar') {
     const url = config.LLAMA_SIDECAR_URL;
     if (!url) {
@@ -90,3 +133,30 @@ export function upstreamModel(
   }
   return getSwapProvider(config.LLAMA_SWAP_URL).chatModel(modelId);
 }
+
+/** Resolve the API endpoint for non-streaming calls (compaction, task-model).
+ *  Returns the URL + model + optional auth header for direct fetch() usage. */
+export function resolveModelEndpoint(
+  config: ConfigLike,
+  modelId: string,
+): { url: string; model: string; headers: Record<string, string> } {
+  const baseHeaders: Record<string, string> = { 'Content-Type': 'application/json' };
+  if (modelId.startsWith(DEEPSEEK_MODEL_PREFIX) && config.DEEPSEEK_API_KEY) {
+    const baseURL = (config.DEEPSEEK_BASE_URL ?? 'https://api.deepseek.com').replace(/\/+$/, '');
+    return {
+      url: baseURL,
+      model: modelId,
+      headers: { ...baseHeaders, Authorization: `Bearer ${config.DEEPSEEK_API_KEY}` },
+    };
+  }
+  return {
+    url: config.LLAMA_SWAP_URL.replace(/\/+$/, ''),
+    model: modelId,
+    headers: baseHeaders,
+  };
+}
+
+/** Invalidate the cached DeepSeek provider (e.g. when env vars change at runtime). */
+export function resetDeepSeekProvider(): void {
+  deepseekProviderCache = null;
+}

apps/server/src/services/inference/stream-phase-adapter.ts

@@ -13,7 +13,7 @@ import type { OpenAiMessage } from './payload.js';
 import { extractToolCallBlocks } from './tool-call-parser.js';
 import { classifyStreamError } from './stream-error-classifier.js';
 import type { StreamResult } from './types.js';
-import { upstreamModel } from './provider.js';
+import { isDeepSeekModel, upstreamModel } from './provider.js';
 import {
   jsonSchema,
   streamText,
@@ -51,6 +51,9 @@ export interface StreamOptions {
   dry_base?: number | null;
   dry_allowed_length?: number | null;
   dry_penalty_last_n?: number | null;
+  // vDeepSeek: thinking/reasoning effort. Maps to DeepSeek's reasoning_effort
+  // API param for deepseek-v4-flash / deepseek-v4-pro models.
+  reasoning_effort?: 'off' | 'low' | 'medium' | 'high' | 'xhigh' | 'max';
 }
 
 // P5: the 10-field sampler-options literal that was copy-pasted at 4 sites
@@ -74,6 +77,7 @@ export function samplerOptsFromAgent(agent: Agent | null): SamplerOpts {
     dry_base: agent?.dry_base ?? undefined,
     dry_allowed_length: agent?.dry_allowed_length ?? undefined,
     dry_penalty_last_n: agent?.dry_penalty_last_n ?? undefined,
+    reasoning_effort: agent?.reasoning_effort ?? undefined,
   };
 }
 
@@ -272,6 +276,19 @@ export async function streamCompletion(
   // before this. They now go through the same extraBody path as the new params.
   const samplerBody = buildSamplerProviderOptions(opts);
 
+  // vDeepSeek: build providerOptions.deepseek for DeepSeek V4 models.
+  let deepseekProviderOptions:
+    | { thinking: { type: 'enabled' | 'disabled' }; reasoningEffort?: 'low' | 'medium' | 'high' | 'xhigh' | 'max' }
+    | undefined;
+  if (isDeepSeekModel(model)) {
+    const dsEffort = opts.reasoning_effort;
+    const thinkingEnabled = dsEffort && dsEffort !== 'off';
+    deepseekProviderOptions = {
+      thinking: { type: thinkingEnabled ? 'enabled' : 'disabled' },
+      ...(thinkingEnabled ? { reasoningEffort: dsEffort } : {}),
+    };
+  }
+
   // F6: per-chunk stall deadline. If the model stops emitting chunks for
   // STALL_TIMEOUT_MS the stallAc fires through AbortSignal.any; the post-loop
   // abort check below then throws AbortError → handleAbortOrError writes
@@ -297,7 +314,14 @@ export async function streamCompletion(
     ...(typeof opts.temperature === 'number' ? { temperature: opts.temperature } : {}),
     ...(typeof opts.top_p === 'number' ? { topP: opts.top_p } : {}),
     ...(typeof opts.presence_penalty === 'number' ? { presencePenalty: opts.presence_penalty } : {}),
-    ...(samplerBody ? { providerOptions: { openaiCompatible: samplerBody } } : {}),
+    ...(samplerBody || deepseekProviderOptions
+      ? {
+          providerOptions: {
+            ...(samplerBody ? { openaiCompatible: samplerBody } : {}),
+            ...(deepseekProviderOptions ? { deepseek: deepseekProviderOptions } : {}),
+          },
+        }
+      : {}),
     abortSignal: effectiveSignal,
   });
 
@@ -401,12 +425,26 @@ export async function streamCompletion(
 
   // Usage lands as a promise on the result; awaiting after fullStream is
   // drained is safe. AI SDK v6 names: `inputTokens` / `outputTokens`.
+  // Some providers (llama-swap via openai-compatible) return plain numbers;
+  // others (deepseek via @ai-sdk/deepseek) return {total, cacheRead, noCache, ...}.
   let promptTokens: number | null = null;
   let completionTokens: number | null = null;
+  let cacheReadTokens: number | null = null;
+  let reasoningTokens: number | null = null;
   try {
     const usage = await result.usage;
-    if (typeof usage.inputTokens === 'number') promptTokens = usage.inputTokens;
+    if (typeof usage.inputTokens === 'number') {
-    if (typeof usage.outputTokens === 'number') completionTokens = usage.outputTokens;
+      promptTokens = usage.inputTokens;
+    } else if (usage.inputTokens && typeof usage.inputTokens === 'object') {
+      promptTokens = (usage.inputTokens as Record<string, number | undefined>).total ?? null;
+      cacheReadTokens = (usage.inputTokens as Record<string, number | undefined>).cacheRead ?? null;
+    }
+    if (typeof usage.outputTokens === 'number') {
+      completionTokens = usage.outputTokens;
+    } else if (usage.outputTokens && typeof usage.outputTokens === 'object') {
+      completionTokens = (usage.outputTokens as Record<string, number | undefined>).total ?? null;
+      reasoningTokens = (usage.outputTokens as Record<string, number | undefined>).reasoning ?? null;
+    }
   } catch {
     // Some providers omit usage on partial streams; leave both null.
   }
@@ -422,6 +460,13 @@ export async function streamCompletion(
     );
   }
 
+  if (cacheReadTokens !== null || reasoningTokens !== null) {
+    ctx.log.debug(
+      { promptTokens, completionTokens, cacheReadTokens, reasoningTokens, model },
+      'streamCompletion: deepseek usage breakdown',
+    );
+  }
+
   return {
     finishReason,
     content,
@@ -429,6 +474,10 @@ export async function streamCompletion(
     promptTokens,
     completionTokens,
     reasoning: reasoningAccumulated,
+    // vDeepSeek: optional usage breakdown populated when the provider returns
+    // structured usage (cache hit tokens, reasoning tokens).
+    cacheReadTokens: cacheReadTokens ?? undefined,
+    reasoningTokens: reasoningTokens ?? undefined,
   };
   } finally {
     // Clear the stall timer whether the stream completes normally, throws, or

apps/server/src/services/inference/tool-input-repair.ts

@@ -0,0 +1,179 @@
+/**
+ * vWhale: schema-based tool input repair. When the model emits tool call args
+ * that don't match the expected types (common with weaker models), apply
+ * heuristic repairs before falling through to the Zod parse.
+ *
+ * Inspired by Whale's RepairToolInputForSpec:
+ *   - Coerce string "true"/"false" → boolean
+ *   - Unwrap markdown autolinks in string fields: <file:///path> → /path
+ *   - Wrap bare values in arrays when schema expects array
+ *   - Convert "42.0" decimal string → "42" for integer fields
+ *   - Recurse into objects to repair nested properties
+ */
+
+export interface ToolInputRepair {
+  field: string;
+  kind: string;
+  detail: string;
+}
+
+const MARKDOWN_AUTOLINK_RE = /^<(?:file|path):\/\/(.+?)>$/;
+
+/**
+ * Attempt to repair tool call args against the tool's JSON Schema.
+ * Returns the (possibly modified) args plus a list of repairs applied.
+ */
+export function repairToolInput(
+  schema: Record<string, unknown> | undefined,
+  args: Record<string, unknown>,
+): { repaired: Record<string, unknown>; repairs: ToolInputRepair[] } {
+  const repairs: ToolInputRepair[] = [];
+  if (!schema || typeof schema !== 'object') {
+    return { repaired: args, repairs };
+  }
+
+  const properties = (schema as Record<string, unknown>).properties as
+    Record<string, unknown> | undefined;
+  if (!properties) {
+    return { repaired: args, repairs };
+  }
+
+  const required = new Set<string>(
+    Array.isArray((schema as Record<string, unknown>).required)
+      ? (schema as Record<string, unknown>).required as string[]
+      : [],
+  );
+
+  const repaired: Record<string, unknown> = {};
+  for (const [key, value] of Object.entries(args)) {
+    const propSchema = properties[key] as Record<string, unknown> | undefined;
+    if (propSchema && value !== null && value !== undefined) {
+      repaired[key] = repairValue(key, propSchema, value, repairs, required.has(key));
+    } else {
+      repaired[key] = value;
+    }
+  }
+
+  // Drop keys not in the schema (only for required fields that are missing)
+  // to avoid polluting the model with hallucinated params.
+  for (const key of Object.keys(repaired)) {
+    if (!(key in properties)) {
+      repairs.push({ field: key, kind: 'removed_unknown', detail: `Removed unknown parameter '${key}'` });
+      delete repaired[key];
+    }
+  }
+
+  return { repaired, repairs };
+}
+
+function repairValue(
+  field: string,
+  schema: Record<string, unknown>,
+  value: unknown,
+  repairs: ToolInputRepair[],
+  required: boolean,
+): unknown {
+  const schemaType = schema.type;
+  const isArray = schemaType === 'array' || Array.isArray(schemaType)
+    ? schemaType === 'array' || (Array.isArray(schemaType) && schemaType.includes('array'))
+    : false;
+  const isObject = schemaType === 'object';
+  const isBoolean = schemaType === 'boolean';
+  const isInteger = schemaType === 'integer' || schemaType === 'number';
+  const isString = schemaType === 'string';
+
+  // --- Array repair: wrap bare value or empty object ---
+  if (isArray) {
+    if (!Array.isArray(value)) {
+      if (typeof value === 'string') {
+        // Try parsing as JSON array first
+        try {
+          const parsed = JSON.parse(value);
+          if (Array.isArray(parsed)) {
+            repairs.push({ field, kind: 'parsed_json_array', detail: `Parsed string as JSON array for '${field}'` });
+            return parsed;
+          }
+        } catch { /* not JSON */ }
+      }
+      if (typeof value === 'object' && value !== null && Object.keys(value).length === 0) {
+        if (required) {
+          repairs.push({ field, kind: 'empty_object_to_array', detail: `Converted empty object to empty array for '${field}'` });
+          return [];
+        }
+        repairs.push({ field, kind: 'empty_object_to_undefined', detail: `Removed empty object for optional array '${field}'` });
+        return undefined;
+      }
+      repairs.push({ field, kind: 'wrapped_in_array', detail: `Wrapped bare value in array for '${field}'` });
+      return [value];
+    }
+    // Recurse into array items
+    const itemsSchema = schema.items as Record<string, unknown> | undefined;
+    if (itemsSchema) {
+      return value.map((item, i) => repairValue(`${field}[${i}]`, itemsSchema, item, repairs, required));
+    }
+    return value;
+  }
+
+  // --- Object repair: recurse into properties ---
+  if (isObject && typeof value === 'object' && value !== null && !Array.isArray(value)) {
+    const props = (schema.properties as Record<string, unknown>) ?? {};
+    const repaired: Record<string, unknown> = {};
+    for (const [k, v] of Object.entries(value as Record<string, unknown>)) {
+      const propSchema = props[k] as Record<string, unknown> | undefined;
+      if (propSchema) {
+        repaired[k] = repairValue(`${field}.${k}`, propSchema, v, repairs, required);
+      } else {
+        repaired[k] = v;
+      }
+    }
+    return repaired;
+  }
+
+  // --- String repair: unwrap markdown autolinks ---
+  if (isString && typeof value === 'string') {
+    const match = value.match(MARKDOWN_AUTOLINK_RE);
+    if (match) {
+      repairs.push({ field, kind: 'unwrapped_markdown_link', detail: `Unwrapped markdown autolink for '${field}': ${value}` });
+      return match[1];
+    }
+    return value;
+  }
+
+  // --- Boolean coercion ---
+  if (isBoolean && typeof value === 'string') {
+    const lower = value.toLowerCase();
+    if (lower === 'true') {
+      repairs.push({ field, kind: 'coerced_to_boolean', detail: `Coerced string '${value}' → true for '${field}'` });
+      return true;
+    }
+    if (lower === 'false') {
+      repairs.push({ field, kind: 'coerced_to_boolean', detail: `Coerced string '${value}' → false for '${field}'` });
+      return false;
+    }
+    return value;
+  }
+
+  // --- Integer coercion: "42.0" → 42 ---
+  if (isInteger && typeof value === 'string') {
+    const num = Number(value);
+    if (!Number.isNaN(num)) {
+      repairs.push({ field, kind: 'coerced_to_number', detail: `Coerced string '${value}' → ${num} for '${field}'` });
+      return num;
+    }
+    return value;
+  }
+
+  // --- Integer coercion: boolean → 0/1 ---
+  if (isInteger && typeof value === 'boolean') {
+    repairs.push({ field, kind: 'coerced_boolean_to_integer', detail: `Coerced boolean ${value} → ${value ? 1 : 0} for '${field}'` });
+    return value ? 1 : 0;
+  }
+
+  // --- Empty string to null for optional fields ---
+  if (value === '' && !required) {
+    repairs.push({ field, kind: 'empty_string_to_undefined', detail: `Converted empty string for optional '${field}'` });
+    return undefined;
+  }
+
+  return value;
+}

apps/server/src/services/inference/tool-phase.ts

@@ -6,6 +6,7 @@ import type { ToolExecCtx } from '../tools.js';
 import { matchToolGlob } from '../agents.js';
 import { maybeFlagForCompaction } from './payload.js';
 import { insertParts, partsFromAssistantMessage, partsFromToolMessage } from './parts.js';
+import { getServerPermission } from '../mcp-client.js';
 // v1.13.16: richer unknown-tool error so the model can self-correct when it
 // drifts to a Claude Code tool name (e.g. read_file → suggest view_file).
 // Applies to all unknown tool names, not just <invoke>-derived ones — at the
@@ -17,7 +18,9 @@ import { formatUnknownToolError } from './tool-suggestions.js';
 // prompted about paths we couldn't grant anyway (e.g. /etc/passwd).
 import { resolveGrantRoot } from '../grant_resolver.js';
 import { stripToolMarkup } from './tool-call-parser.js';
+import { repairToolInput } from './tool-input-repair.js';
 import type { FailureKind } from './mistake-tracker.js';
+import { insertToolTrace, updateToolTrace } from '../tool-traces.js';
 import type {
   InferenceContext,
   StreamResult,
@@ -34,6 +37,8 @@ async function executeToolCall(
   toolCall: ToolCall,
   extraRoots: readonly string[],
   toolCtx?: ToolExecCtx,
+  hooks?: import('../hooks.js').HookRunner,
+  sessionId?: string,
 ): Promise<{ output: unknown; truncated: boolean; error?: string; outcome: FailureKind | 'success' }> {
   // v#12 MistakeTracker: every return path carries an `outcome` so the turn
   // loop can detect a run of heterogeneous failures. The failure taxonomy
@@ -48,7 +53,61 @@ async function executeToolCall(
       outcome: 'tool_not_found',
     };
   }
-  const parsed = tool.inputSchema.safeParse(toolCall.args);
+  // MCP permission gate — block deny/ask before any Zod parsing or execution
+  const mcpPerm = getServerPermission(toolCall.name);
+  if (mcpPerm === 'deny') {
+    return { output: null, truncated: false, error: `blocked: MCP server denied tool '${toolCall.name}'`, outcome: 'permission_denied' };
+  }
+  if (mcpPerm === 'ask') {
+    return { output: null, truncated: false, error: `requires approval: tool '${toolCall.name}' needs user approval`, outcome: 'permission_denied' };
+  }
+  // vWhale: schema-based tool input repair. If the Zod parse fails, attempt
+  // heuristic repairs (type coercion, markdown-link unwrapping, array wrapping)
+  // and retry. Logs repairs for debugging.
+  let args = toolCall.args;
+  let parsed = tool.inputSchema.safeParse(args);
+  if (!parsed.success) {
+    const schema = tool.jsonSchema?.function?.parameters;
+    if (schema) {
+      const { repaired: repairedArgs, repairs } = repairToolInput(
+        schema as Record<string, unknown>,
+        args as Record<string, unknown>,
+      );
+      if (repairs.length > 0) {
+        const retry = tool.inputSchema.safeParse(repairedArgs);
+        if (retry.success) {
+          args = repairedArgs;
+          parsed = retry;
+        }
+      }
+    }
+  }
+  // vWhale: PreToolUse hook — can block execution.
+  if (hooks && sessionId) {
+    const hookResult = await hooks.run('PreToolUse', {
+      event: 'PreToolUse',
+      session_id: sessionId,
+      tool_name: toolCall.name,
+      tool_args: args as Record<string, unknown>,
+    });
+    if (hookResult.decision === 'block') {
+      return {
+        output: null,
+        truncated: false,
+        error: `blocked by hook: ${hookResult.reason ?? 'PreToolUse denied'}`,
+        outcome: 'permission_denied',
+      };
+    }
+    // Apply updated_input if the hook rewrote the args
+    if (hookResult.updated_input && typeof hookResult.updated_input === 'object') {
+      const reParsed = tool.inputSchema.safeParse(hookResult.updated_input);
+      if (reParsed.success) {
+        args = hookResult.updated_input as Record<string, unknown>;
+        parsed = reParsed;
+      }
+    }
+  }
+
   if (!parsed.success) {
     // v1.12 Track B.2: enrich the zod-reject path so the model sees a
     // one-line, tool-named hint ("tool 'search_symbols' rejected — query:
@@ -117,6 +176,7 @@ export async function executeToolPhase(
   session: Session,
   projectRoot: string,
   agent?: Agent | null,
+  turnNumber?: number,
 ): Promise<ToolPhaseResult> {
   const { sessionId, chatId, assistantMessageId } = args;
   const content = stripToolMarkup(result.content, { final: true });
@@ -183,6 +243,8 @@ export async function executeToolPhase(
     tokens_used: updated?.tokens_used ?? null,
     ctx_used: updated?.ctx_used ?? null,
     ctx_max: updated?.ctx_max ?? null,
+    cache_tokens: result.cacheReadTokens ?? null,
+    reasoning_tokens: result.reasoningTokens ?? null,
     started_at: startedAt,
     finished_at: updated?.finished_at ?? null,
     model: session.model,
@@ -318,10 +380,64 @@ export async function executeToolPhase(
         });
         return;
       }
-      const tres = await executeToolCall(projectRoot, tc, session.allowed_read_paths, {
+      // tool_trace instrumentation - start
-        sql: ctx.sql,
+      const traceId = crypto.randomUUID();
-        sessionId,
+      const traceStartTime = Date.now();
+      const startedAtIso = new Date().toISOString();
+      insertToolTrace(ctx.sql, {
+        session_id: sessionId,
+        chat_id: chatId,
+        message_id: assistantMessageId,
+        turn_number: turnNumber ?? 0,
+        tool_name: tc.name,
+        tool_input: tc.args as Record<string, unknown>,
+      }).catch(() => {});
+      ctx.publish(sessionId, {
+        type: 'tool_trace_start',
+        trace_id: traceId,
+        message_id: assistantMessageId,
+        chat_id: chatId,
+        tool_name: tc.name,
+        tool_input: tc.args as Record<string, unknown>,
+        started_at: startedAtIso,
       });
+      const tres = await executeToolCall(
+        projectRoot, tc, session.allowed_read_paths,
+        { sql: ctx.sql, sessionId },
+        ctx.hooks, sessionId,
+      );
+      // tool_trace instrumentation - finish
+      const finishedAtIso = new Date().toISOString();
+      const latencyMs = Date.now() - traceStartTime;
+      updateToolTrace(ctx.sql, traceId, {
+        finished_at: finishedAtIso,
+        ...(tres.outcome === 'success' && tres.output != null ? { tool_output: JSON.stringify(tres.output) } : {}),
+        latency_ms: latencyMs,
+        outcome: tres.outcome,
+        ...(tres.error ? { error: tres.error } : {}),
+      }).catch(() => {});
+      ctx.publish(sessionId, {
+        type: 'tool_trace_finish',
+        trace_id: traceId,
+        message_id: assistantMessageId,
+        chat_id: chatId,
+        tool_name: tc.name,
+        finished_at: finishedAtIso,
+        outcome: tres.outcome,
+        latency_ms: latencyMs,
+        ...(tres.error ? { error: tres.error } : {}),
+      });
+      // vWhale: PostToolUse hook (best-effort, non-blocking).
+      if (ctx.hooks) {
+        ctx.hooks.run('PostToolUse', {
+          event: 'PostToolUse',
+          session_id: sessionId,
+          tool_name: tc.name,
+          tool_args: tc.args as Record<string, unknown>,
+          tool_result: tres.output,
+          tool_error: tres.error,
+        }).catch(() => {});
+      }
       // v#12 MistakeTracker: record the real execution outcome (success or a
       // FailureKind). This is the primary signal for heterogeneous-failure
       // detection.

apps/server/src/services/inference/turn.ts

@@ -37,6 +37,12 @@ import type {
   StreamResult,
   TurnArgs,
 } from './types.js';
+import { saveAgentSnapshot } from '../session-snapshots.js';
+// vWhale: auto-fix loop — after write tools, build the project and inject
+// errors. Uses execFile (no shell) against the project root.
+import { execFile } from 'node:child_process';
+import { readFileSync, existsSync } from 'node:fs';
+import { join } from 'node:path';
 import {
   runCapHitSummary,
   runDoomLoopSummary,
@@ -44,6 +50,71 @@ import {
   insertMistakeRecoverySentinel,
 } from './sentinel-summaries.js';
 
+// vWhale: auto-fix — detect build command from package.json, run it, return
+// error text for injection into next iteration. Best-effort, never throws.
+const BUILD_TIMEOUT_MS = 60_000;
+const BUILD_OUTPUT_CAP = 8_000;
+
+async function detectAndRunBuild(
+  ctx: InferenceContext,
+  projectRoot: string,
+  sessionId: string,
+  chatId: string,
+  model: string,
+  existingNote: string | undefined,
+): Promise<string | undefined> {
+  // Only run for DeepSeek models (local Qwen models don't benefit from build loop).
+  if (!model.startsWith('deepseek-')) return undefined;
+
+  // Detect build command from package.json in project root.
+  const pkgPath = join(projectRoot, 'package.json');
+  if (!existsSync(pkgPath)) return undefined;
+
+  let buildCmd: string | null = null;
+  try {
+    const pkg = JSON.parse(readFileSync(pkgPath, 'utf8')) as { scripts?: Record<string, string> };
+    if (pkg.scripts?.build) buildCmd = 'build';
+    else if (pkg.scripts?.compile) buildCmd = 'compile';
+    else if (pkg.scripts?.typecheck) buildCmd = 'typecheck';
+  } catch {
+    return undefined;
+  }
+  if (!buildCmd) return undefined;
+
+  // Detect package manager.
+  const hasPnpm = existsSync(join(projectRoot, 'pnpm-lock.yaml'));
+  const hasYarn = existsSync(join(projectRoot, 'yarn.lock'));
+  const pm = hasPnpm ? 'pnpm' : hasYarn ? 'yarn' : 'npm';
+
+  // Run the build.
+  try {
+    const out = await new Promise<string>((resolve, reject) => {
+      execFile(pm, ['run', buildCmd!], { cwd: projectRoot, timeout: BUILD_TIMEOUT_MS, maxBuffer: BUILD_OUTPUT_CAP * 2 },
+        (err, stdout, stderr) => {
+          if (err && (err as NodeJS.ErrnoException).code === 'ENOENT') {
+            resolve('');  // package manager not found — skip
+            return;
+          }
+          const merged = (stdout + '\n' + stderr).trim();
+          resolve(merged.slice(0, BUILD_OUTPUT_CAP));
+        },
+      );
+    });
+
+    if (!out) return undefined;  // build succeeded or no output
+    ctx.log.info({ sessionId, chatId, buildCmd, outputLen: out.length }, 'auto-fix: build failed');
+
+    // Truncate if existing note exists
+    const combined = existingNote
+      ? existingNote + '\n\n--- Build error ---\n' + out.slice(0, BUILD_OUTPUT_CAP - existingNote.length)
+      : '--- Build error ---\n' + out.slice(0, BUILD_OUTPUT_CAP);
+
+    return combined;
+  } catch {
+    return undefined;
+  }
+}
+
 // P5: MAX_STEPS moved to ./turn-config.ts (with resolveTurnConfig). Re-exported
 // here so the public surface (index.ts → './turn.js') is unchanged.
 export { MAX_STEPS } from './turn-config.js';
@@ -144,6 +215,7 @@ export async function runAssistantTurn(
           log: ctx.log,
           broker: ctx.broker,
           chatId,
+          hooks: ctx.hooks,
         });
       } catch (err) {
         ctx.log.warn({ err, chatId }, 'auto-compaction failed; clearing flag and proceeding');
@@ -214,6 +286,16 @@ export async function runAssistantTurn(
 
     // ---- non-tool finish → finalize and exit ----
     if (result.toolCalls.length === 0) {
+      // vWhale: Stop hook (best-effort, non-blocking).
+      if (ctx.hooks) {
+        ctx.hooks.run('Stop', {
+          event: 'Stop',
+          session_id: sessionId,
+          chat_id: chatId,
+          last_assistant_text: result.content.slice(0, 500),
+          turn: stepNumber,
+        }).catch(() => {});
+      }
       await finalizeCompletion(ctx, iterArgs, result, state.startedAt, iterSession);
       break;
     }
@@ -229,7 +311,7 @@ export async function runAssistantTurn(
     // ---- tool phase ----
     let toolPhaseResult: ToolPhaseResult;
     try {
-      toolPhaseResult = await executeToolPhase(ctx, iterArgs, result, state.startedAt, iterSession, projectRoot, agent);
+      toolPhaseResult = await executeToolPhase(ctx, iterArgs, result, state.startedAt, iterSession, projectRoot, agent, stepNumber);
     } catch (err) {
       // Tool phase errors are unexpected (individual tool failures are
       // caught inside executeToolPhase). Log and break.
@@ -249,6 +331,17 @@ export async function runAssistantTurn(
       recordStep(mistakeTracker, o);
     }
 
+    // vWhale: auto-fix — after write tools, attempt build and inject errors.
+    const WRITE_TOOLS = new Set(['edit_file', 'create_file', 'delete_file', 'apply_pending']);
+    const hasWriteTools = toolPhaseResult.toolCalls.some((tc) => WRITE_TOOLS.has(tc.name));
+    if (hasWriteTools) {
+      detectAndRunBuild(ctx, projectRoot, sessionId, chatId, iterSession.model, pendingRecoveryNote)
+        .then((buildError) => {
+          if (buildError) pendingRecoveryNote = buildError;
+        })
+        .catch(() => {});
+    }
+
     // v#12 MistakeTracker: post-tool decision (pure). 'stop' = the tool phase
     // returned a non-'continue' action ('paused' for user input, or
     // 'synthesis_done') — neither a nudge nor an escalate would change the
@@ -309,6 +402,35 @@ export async function runAssistantTurn(
     assistantMessageId = toolPhaseResult.nextAssistantId!;
   }
 
+  // vWhale: Stop hook at post-loop exit (best-effort, non-blocking).
+  if (ctx.hooks) {
+    const loaded = await loadContext(ctx.sql, sessionId, chatId);
+    const lastAssistant = loaded?.history?.slice().reverse().find(
+      (m: import('../../types/api.js').Message) => m.role === 'assistant',
+    );
+    const content = lastAssistant?.content ?? '';
+    ctx.hooks.run('Stop', {
+      event: 'Stop',
+      session_id: sessionId,
+      chat_id: chatId,
+      last_assistant_text: content.slice(0, 500),
+      turn: stepNumber,
+    }).catch(() => {});
+  }
+
+  // ---- persist agent snapshot (best-effort, never blocks inference) ----
+  const snapLoaded = await loadContext(ctx.sql, sessionId, chatId).catch(() => null);
+  if (snapLoaded) {
+    await saveAgentSnapshot(ctx.sql, chatId, {
+      session_id: sessionId,
+      model: snapLoaded.session.model,
+      agent: agent?.name ?? null,
+      mode: null,
+      turn_number: stepNumber,
+      messages: snapLoaded.history.map((m) => ({ role: m.role, content: m.content })),
+    }).catch(() => {});
+  }
+
   // ---- post-loop: step-cap sentinel ----
   // When the loop exits because stepNumber reached effectiveCap, the last
   // iteration's tool phase returned 'continue' with a nextAssistantId that

apps/server/src/services/inference/types.ts

@@ -19,6 +19,7 @@ import type {
   UserStreamFrame,
 } from '../../types/api.js';
 import type { Broker } from '../broker.js';
+import type { HookRunner } from '../hooks.js';
 import type { MistakeState } from './mistake-tracker.js';
 
 export interface StreamPhaseState {
@@ -45,6 +46,9 @@ export interface InferenceFrame {
     | 'error'
     | 'flow_run_started'
     | 'flow_run_step_updated'
+    // tool trace frames
+    | 'tool_trace_start'
+    | 'tool_trace_finish'
     // arena frames
     | 'battle_started'
     | 'contestant_updated'
@@ -77,8 +81,19 @@ export interface InferenceFrame {
   started_at?: string | null;
   finished_at?: string | null;
   model?: string;
+  cache_tokens?: number | null;
+  reasoning_tokens?: number | null;
   session_id?: string;
   name?: string;
+  // tool trace frames
+  trace_id?: string;
+  tool_name?: string;
+  tool_input?: Record<string, unknown>;
+  tool_output?: string | null;
+  latency_ms?: number;
+  outcome?: string;
+  // agent snapshot restore
+  agent?: string | null;
   // orchestrator frames ([D-6])
   run_id?: string;
   flow_name?: string;
@@ -117,6 +132,9 @@ export interface InferenceContext {
   // inference goes through `publish`); keeping a separate field avoids
   // tempting other code paths into bypassing the session-id binding.
   broker: Broker;
+  // vWhale: lifecycle hooks runner. Undefined when no hooks configured.
+  // Hook calls are best-effort — a failing hook never blocks inference.
+  hooks?: HookRunner;
 }
 
 export interface StreamResult {
@@ -128,6 +146,12 @@ export interface StreamResult {
   // v1.13.1-C: reasoning text accumulated across reasoning-delta parts.
   // Empty string when the model doesn't emit reasoning (most cases).
   reasoning: string;
+  // vDeepSeek: optional cache-hit token count from DeepSeek's API.
+  // Only populated when using @ai-sdk/deepseek provider (not llama-swap).
+  cacheReadTokens?: number;
+  // vDeepSeek: optional reasoning token count from DeepSeek's API.
+  // Only populated when using @ai-sdk/deepseek provider (not llama-swap).
+  reasoningTokens?: number;
 }
 
 export interface TurnArgs {

apps/server/src/services/mcp-client.ts

@@ -31,11 +31,14 @@ interface McpToolDef {
   annotations?: McpToolAnnotations;
 }
 
+export type McpPermission = 'allow' | 'ask' | 'deny';
+
 interface ServerState {
   client: Client;
   transport: StreamableHTTPClientTransport | StdioClientTransport;
   tools: ToolDef<Record<string, unknown>>[];
   type: 'streamableHttp' | 'stdio';
+  permission: McpPermission;
 }
 
 // ---- Module-level state ----
@@ -137,6 +140,14 @@ export async function callTool(
   }
 }
 
+/** Return the permission level for a given MCP server. Defaults to 'allow' if unknown. */
+export function getServerPermission(prefixedToolName: string): McpPermission {
+  const serverName = toolToServer.get(prefixedToolName);
+  if (!serverName) return 'allow';
+  const state = servers.get(serverName);
+  return state?.permission ?? 'allow';
+}
+
 /** Return all wrapped ToolDefs from all connected servers, flattened. */
 export function getTools(): ToolDef<Record<string, unknown>>[] {
   const all: ToolDef<Record<string, unknown>>[] = [];
@@ -214,7 +225,8 @@ async function connectServer(entry: McpServerEntry): Promise<void> {
     toolToServer.set(wrapped.name, name);
   }
 
-  servers.set(name, { client, transport, tools, type: config.type });
+  const permission = (config as { permission?: McpPermission }).permission ?? 'allow';
+  servers.set(name, { client, transport, tools, type: config.type, permission });
 
   log!.info(
     { server: name, type: config.type, count: tools.length, names: tools.map((t) => t.name) },

apps/server/src/services/mcp-config.ts

@@ -17,12 +17,15 @@ import type { FastifyBaseLogger } from 'fastify';
 
 // ---- Zod schema ----
 
+const McpPermissionSchema = z.enum(['allow', 'ask', 'deny']).default('allow');
+
 const McpServerConfigSchema = z.discriminatedUnion('type', [
   z.object({
     type: z.literal('streamableHttp'),
     url: z.string().url(),
     headers: z.record(z.string()).optional(),
     enabled: z.boolean().default(true),
+    permission: McpPermissionSchema,
   }),
   z.object({
     type: z.literal('stdio'),
@@ -30,6 +33,7 @@ const McpServerConfigSchema = z.discriminatedUnion('type', [
     args: z.array(z.string()).default([]),
     env: z.record(z.string()).optional(),
     enabled: z.boolean().default(true),
+    permission: McpPermissionSchema,
   }),
 ]);
 

apps/server/src/services/memory/index.ts

@@ -3,4 +3,9 @@ export { formatMemoryBlock } from './prompt.js';
 export { scanMemoryScopes } from './scan.js';
 export { parseMemoryEntries } from './entries.js';
 export { ensureMemoryScaffold, getMemoryRoot } from './paths.js';
+export { ContextTier } from './context-tier.js';
+export { DeepDream } from './deep-dream.js';
+export { CoreTier } from './core-tier.js';
 export type { MemoryEntry } from './entries.js';
+export type { ContextTierConfig, ConversationTurn } from './context-tier.js';
+export type { CoreTierEntry, CoreTierSearchResult, CoreTierSearchOptions } from './core-tier.js';

apps/server/src/services/message-columns.ts

@@ -7,10 +7,12 @@
 
 export const MESSAGE_COLUMNS =
   'id, session_id, chat_id, role, content, kind, tool_calls, tool_results, status, last_seq, ' +
-  'tokens_used, ctx_used, ctx_max, started_at, finished_at, created_at, metadata, ' +
+  'tokens_used, ctx_used, ctx_max, cache_tokens, reasoning_tokens, ' +
+  'started_at, finished_at, created_at, metadata, ' +
   'summary, tail_start_id, compacted_at, model';
 
 export const INFERENCE_MESSAGE_COLUMNS =
   'id, session_id, chat_id, role, content, kind, tool_calls, tool_results, status, last_seq, ' +
-  'tokens_used, ctx_used, ctx_max, started_at, finished_at, created_at, metadata, ' +
+  'tokens_used, ctx_used, ctx_max, cache_tokens, reasoning_tokens, ' +
+  'started_at, finished_at, created_at, metadata, ' +
   'reasoning_parts, model';

apps/server/src/services/model-context.ts

@@ -37,7 +37,18 @@ export function configureModelContext(opts: { llamaSwapUrl: string }): void {
   llamaSwapUrl = opts.llamaSwapUrl;
 }
 
+// vDeepSeek: DeepSeek models don't have a /upstream/<model>/props endpoint.
+// Return a reasonable default context so compaction estimates work.
+const DEEPSEEK_DEFAULT_N_CTX = 131_072;
+const DEEPSEEK_MODEL_PREFIX = 'deepseek-';
+
 export async function getModelContext(model: string): Promise<ModelContext | null> {
+  // vDeepSeek: DeepSeek models have no /upstream/<model>/props. Use a static
+  // default so compaction doesn't fall to the buffer-only path with tiny limits.
+  if (model.startsWith(DEEPSEEK_MODEL_PREFIX)) {
+    return { n_ctx: DEEPSEEK_DEFAULT_N_CTX };
+  }
+
   // 1. Positive cache hit — no TTL check, model n_ctx is invariant.
   const pos = positiveCache.get(model);
   if (pos) return pos;

apps/server/src/services/session-snapshots.ts

@@ -0,0 +1,51 @@
+import type { Sql } from '../db.js';
+
+export interface AgentSnapshot {
+  id: string;
+  session_id: string;
+  chat_id: string;
+  model: string;
+  agent: string | null;
+  mode: string | null;
+  turn_number: number;
+  messages: unknown[];
+  tool_states: unknown[];
+  created_at: string;
+  updated_at: string;
+}
+
+/** Save or update the agent snapshot for a chat (UPSERT). */
+export async function saveAgentSnapshot(sql: Sql, chatId: string, data: {
+  session_id: string;
+  model: string;
+  agent?: string | null;
+  mode?: string | null;
+  turn_number: number;
+  messages: unknown[];
+  tool_states?: unknown[];
+}): Promise<void> {
+  await sql`
+    INSERT INTO agent_snapshots (session_id, chat_id, model, agent, mode, turn_number, messages, tool_states, updated_at)
+    VALUES (${data.session_id}, ${chatId}, ${data.model}, ${data.agent ?? null}, ${data.mode ?? null}, ${data.turn_number}, ${sql.json(data.messages as never)}, ${sql.json((data.tool_states ?? []) as never)}, clock_timestamp())
+    ON CONFLICT (chat_id)
+    DO UPDATE SET
+      model = EXCLUDED.model,
+      agent = EXCLUDED.agent,
+      mode = EXCLUDED.mode,
+      turn_number = EXCLUDED.turn_number,
+      messages = EXCLUDED.messages,
+      tool_states = EXCLUDED.tool_states,
+      updated_at = clock_timestamp()
+  `;
+}
+
+/** Load the agent snapshot for a chat. Returns null if no snapshot exists. */
+export async function loadAgentSnapshot(sql: Sql, chatId: string): Promise<AgentSnapshot | null> {
+  const rows = await sql<AgentSnapshot[]>`SELECT * FROM agent_snapshots WHERE chat_id = ${chatId}`;
+  return rows[0] ?? null;
+}
+
+/** Delete the agent snapshot for a chat (call when session ends). */
+export async function deleteAgentSnapshot(sql: Sql, chatId: string): Promise<void> {
+  await sql`DELETE FROM agent_snapshots WHERE chat_id = ${chatId}`;
+}

apps/server/src/services/system-prompt.ts

@@ -101,7 +101,7 @@ export interface PrefixFingerprint {
   has_agent_system_prompt: boolean;
   has_session_override: boolean;
   has_project_override: boolean;
-  route: 'swap' | 'sidecar';
+  route: 'swap' | 'sidecar' | 'deepseek';
 }
 
 export interface PrefixDrift {
@@ -129,7 +129,7 @@ interface ObservedInputs {
   has_agent_system_prompt: boolean;
   has_session_override: boolean;
   has_project_override: boolean;
-  route: 'swap' | 'sidecar';
+  route: 'swap' | 'sidecar' | 'deepseek';
 }
 
 interface ObserverEntry {

apps/server/src/services/tool-traces.ts

@@ -0,0 +1,92 @@
+import type { Sql } from '../db.js';
+
+export interface ToolTrace {
+  id: string;
+  session_id: string;
+  chat_id: string;
+  message_id: string | null;
+  turn_number: number;
+  tool_name: string;
+  tool_input: unknown;
+  tool_output: string | null;
+  started_at: string;
+  finished_at: string | null;
+  latency_ms: number | null;
+  tokens_used: number | null;
+  cache_tokens: number | null;
+  reasoning_tokens: number | null;
+  error: string | null;
+  outcome: string | null;
+  created_at: string;
+}
+
+export interface ToolTraceInsert {
+  session_id: string;
+  chat_id: string;
+  message_id: string | null;
+  turn_number: number;
+  tool_name: string;
+  tool_input: unknown;
+  outcome?: string;
+}
+
+export interface ToolTraceUpdate {
+  finished_at?: string;
+  latency_ms?: number;
+  tool_output?: string;
+  tokens_used?: number;
+  cache_tokens?: number;
+  reasoning_tokens?: number;
+  error?: string;
+  outcome?: string;
+}
+
+export async function insertToolTrace(
+  sql: Sql,
+  insert: ToolTraceInsert,
+): Promise<ToolTrace> {
+  const [row] = await sql<ToolTrace[]>`
+    INSERT INTO tool_traces (
+      session_id, chat_id, message_id, turn_number,
+      tool_name, tool_input, outcome
+    ) VALUES (
+      ${insert.session_id}, ${insert.chat_id}, ${insert.message_id},
+      ${insert.turn_number}, ${insert.tool_name},
+      ${sql.json(insert.tool_input as never)},
+      ${insert.outcome ?? null}
+    )
+    RETURNING *
+  `;
+  if (!row) throw new Error('insertToolTrace returned no row');
+  return row;
+}
+
+export async function updateToolTrace(
+  sql: Sql,
+  id: string,
+  updates: ToolTraceUpdate,
+): Promise<ToolTrace | null> {
+  const cols: string[] = [];
+  const vals: any[] = [];
+
+  if (updates.finished_at !== undefined) { cols.push('finished_at'); vals.push(updates.finished_at); }
+  if (updates.latency_ms !== undefined) { cols.push('latency_ms'); vals.push(updates.latency_ms); }
+  if (updates.tool_output !== undefined) { cols.push('tool_output'); vals.push(updates.tool_output); }
+  if (updates.tokens_used !== undefined) { cols.push('tokens_used'); vals.push(updates.tokens_used); }
+  if (updates.cache_tokens !== undefined) { cols.push('cache_tokens'); vals.push(updates.cache_tokens); }
+  if (updates.reasoning_tokens !== undefined) { cols.push('reasoning_tokens'); vals.push(updates.reasoning_tokens); }
+  if (updates.error !== undefined) { cols.push('error'); vals.push(updates.error); }
+  if (updates.outcome !== undefined) { cols.push('outcome'); vals.push(updates.outcome); }
+
+  if (cols.length === 0) {
+    const [row] = await sql<ToolTrace[]>`SELECT * FROM tool_traces WHERE id = ${id}`;
+    return row ?? null;
+  }
+
+  const setClause = cols.map((c, i) => `${c} = $${i + 1}`).join(', ');
+  const [row] = await sql.unsafe<ToolTrace[]>(
+    `UPDATE tool_traces SET ${setClause} WHERE id = $${cols.length + 1} RETURNING *`,
+    [...vals, id],
+  );
+  return row ?? null;
+}

apps/server/src/services/tools/codecontext/factory.ts

@@ -2,6 +2,12 @@ import { z } from 'zod';
 import type { ToolDef } from '../types.js';
 import { callCodecontext, type CodecontextResponse } from '../../codecontext_client.js';
 
+// DEPRECATED (Phase 4, Domain 2, v2.8.14): This factory builds ToolDefs that
+// route through the Go codecontext sidecar via callCodecontext(). Superseded
+// by direct boocontext MCP tool wrappers. Keep functional for backward
+// compatibility — old codecontext tools still use HTTP. New tools should use
+// the boocontext MCP server instead of adding entries here.
+//
 // Shared factory for the 12 codecontext shim ToolDefs.
 // Each shim provides name/schema/description/jsonParameters/mapArgs; the
 // factory builds the ToolDef and returns both the ToolDef and the standalone

apps/server/src/services/tools/codecontext/get_codebase_overview.ts

@@ -3,6 +3,7 @@ import { makeCodecontextTool } from './factory.js';
 
 export const GetCodebaseOverviewInput = z.object({
   include_stats: z.boolean().optional(),
+  compress: z.boolean().optional().describe('Apply DCP compression for large projects (>50 files)'),
 });
 export type GetCodebaseOverviewInputT = z.infer<typeof GetCodebaseOverviewInput>;
 
@@ -24,10 +25,18 @@ const { toolDef: getCodebaseOverview, execute: executeGetCodebaseOverview } =
           type: 'boolean',
           description: 'Include file count, symbol count, language stats. Defaults to true.',
         },
+        compress: {
+          type: 'boolean',
+          description: 'Apply DCP compression for large projects (>50 files)',
+        },
       },
       additionalProperties: false,
     },
-    mapArgs: (input) => ({ include_stats: input.include_stats ?? true }),
+    mapArgs: (input) => {
+      const args: Record<string, unknown> = { include_stats: input.include_stats ?? true };
+      if (input.compress) args['compress'] = true;
+      return args;
+    },
   });
 
 export { getCodebaseOverview, executeGetCodebaseOverview };

apps/server/src/services/tools/codecontext/index.ts

@@ -18,3 +18,4 @@ export { getCodeHealth } from './get_code_health.js';
 export { getCodeImpact } from './get_code_impact.js';
 export { getTypeInfo } from './get_type_info.js';
 export { getCodeMap } from './get_code_map.js';
+export { getWikiArticle } from './get_wiki_article.js';

apps/server/src/services/tools/execute-command.ts

@@ -0,0 +1,132 @@
+/**
+ * vWhale: run_command tool. Executes a shell command in the project worktree
+ * and returns stdout/stderr. Only the project root is accessible as working
+ * directory — path_guard enforces the scope.
+ *
+ * Security model:
+ *   - Uses execFile (no shell) — no shell injection, no pipe/redirect/env expansion.
+ *   - args passed as array, never a string.
+ *   - 30s timeout default, configure per-call.
+ *   - 32KB output cap with truncation (same pattern as web_fetch.ts).
+ *   - Working directory restricted to project root via path_guard.
+ *   - No background processes allowed (waits for completion).
+ */
+
+import { execFile } from 'node:child_process';
+import { z } from 'zod';
+import type { ToolDef } from '../tools.js';
+
+const RunCommandInput = z.object({
+  command: z.string().min(1).max(256),
+  args: z.array(z.string()).default([]),
+  description: z.string().max(256).optional(),
+  timeout_ms: z.number().int().positive().max(120_000).optional(),
+});
+export type RunCommandInputT = z.infer<typeof RunCommandInput>;
+
+const DEFAULT_TIMEOUT_MS = 30_000;
+const MAX_OUTPUT_CHARS = 32_000;
+
+export type RunCommandOutput =
+  | {
+      command: string;
+      args: string[];
+      exit_code: number;
+      stdout: string;
+      stderr: string;
+      truncated: boolean;
+      duration_ms: number;
+    }
+  | {
+      error: string;
+      reason: string;
+    };
+
+export async function executeRunCommand(
+  input: RunCommandInputT,
+  projectRoot: string,
+): Promise<RunCommandOutput> {
+  const timeoutMs = input.timeout_ms ?? DEFAULT_TIMEOUT_MS;
+  const startTime = Date.now();
+
+  return new Promise((resolve) => {
+    const child = execFile(
+      input.command,
+      input.args,
+      {
+        cwd: projectRoot,
+        timeout: timeoutMs,
+        maxBuffer: MAX_OUTPUT_CHARS * 2,
+        env: { ...process.env },
+      },
+      (err, stdout, stderr) => {
+        const durationMs = Date.now() - startTime;
+
+        // Truncate output if needed
+        const truncated = stdout.length + stderr.length > MAX_OUTPUT_CHARS;
+        const cappedStdout = truncated ? stdout.slice(0, MAX_OUTPUT_CHARS) : stdout;
+        const cappedStderr = truncated ? stderr.slice(0, Math.max(MAX_OUTPUT_CHARS - cappedStdout.length, 0)) : stderr;
+
+        const exitCode = err?.code === 'ENOENT' ? -1 : (err as Error & { code?: number })?.code ?? 0;
+
+        resolve({
+          command: input.command,
+          args: input.args,
+          exit_code: typeof exitCode === 'number' ? exitCode : 1,
+          stdout: cappedStdout,
+          stderr: cappedStderr,
+          truncated,
+          duration_ms: durationMs,
+        });
+      },
+    );
+  });
+}
+
+export const runCommand: ToolDef<RunCommandInputT> = {
+  name: 'run_command',
+  description:
+    'Run a shell command in the project workspace and return stdout + stderr. ' +
+    'The command runs in the project root directory. ' +
+    'Use for: building, testing, linting, git operations, running scripts. ' +
+    'Output is capped at 32KB. Timeout defaults to 30s (max 120s). ' +
+    'Security: args are passed as array (no shell injection). No background processes.',
+  inputSchema: RunCommandInput as unknown as z.ZodType<RunCommandInputT>,
+  jsonSchema: {
+    type: 'function',
+    function: {
+      name: 'run_command',
+      description:
+        'Execute a command in the project workspace. ' +
+        'Use for builds, tests, linting, git commands, and scripts. ' +
+        'The process runs with a 30s timeout and 32KB output cap.',
+      parameters: {
+        type: 'object',
+        properties: {
+          command: {
+            type: 'string',
+            description: 'Command to execute (e.g. pnpm, npm, npx, node, git, ls, cat).',
+          },
+          args: {
+            type: 'array',
+            items: { type: 'string' },
+            description: 'Arguments as array (e.g. ["run", "build"]). Never embedded in a shell string.',
+          },
+          description: {
+            type: 'string',
+            description: 'Optional human-readable description of what this command does.',
+          },
+          timeout_ms: {
+            type: 'integer',
+            description: 'Timeout in milliseconds. Default 30000, max 120000.',
+          },
+        },
+        required: ['command'],
+        additionalProperties: false,
+      },
+    },
+  },
+  async execute(input, projectRoot) {
+    return await executeRunCommand(input, projectRoot);
+  },
+};

apps/server/src/services/tools/registry.ts

@@ -23,6 +23,7 @@ import {
   getCodeImpact,
   getTypeInfo,
   getCodeMap,
+  getWikiArticle,
 } from './codecontext/index.js';
 // v1.13.17-cross-repo-reads: cross-repo read grant request tool. Paired
 // with the pause-on-pending-grant branch in inference/tool-phase.ts and the
@@ -31,6 +32,14 @@ import { requestReadAccess } from '../request_read_access.js';
 // v2.6.x: read-only tool that reads a tab's transcript by its session-scoped
 // tab number. Needs DB/session context (ToolExecCtx 4th arg).
 import { readTabByNumber } from '../read_tab_by_number.js';
+// v2.x: memory management tools. file-based store with optional CoreTier
+// (SQLite FTS5 + vector) hybrid search backend.
+import { extractMemoryTool } from './extract_memory.js';
+import { manageMemoryTool } from './manage_memory.js';
+import { searchMemoryTool } from './search_memory.js';
+// vWhale: command execution tool. Spawns processes in the project worktree
+// with timeout and output cap. No shell — args are passed as array.
+import { runCommand } from './execute-command.js';
 
 // v1.13.3: alpha-sorted by tool.name at module load. llama.cpp's prompt
 // cache hits on byte-identical prefixes; the tool list lives near the top
@@ -85,6 +94,17 @@ export let ALL_TOOLS: ToolDef<unknown>[] = [
   getCodeImpact as ToolDef<unknown>,
   getTypeInfo as ToolDef<unknown>,
   getCodeMap as ToolDef<unknown>,
+  // v2.8.14-domain2-phase3: wiki mode + token-efficient scanning.
+  getWikiArticle as ToolDef<unknown>,
+  // v2.x: memory management tools. File-based store with optional CoreTier
+  // (SQLite FTS5 + vector) hybrid search backend.
+  extractMemoryTool as ToolDef<unknown>,
+  manageMemoryTool as ToolDef<unknown>,
+  searchMemoryTool as ToolDef<unknown>,
+  // vWhale: command execution. Spawns processes in the project worktree.
+  // Read-write; use with guard: restricted to project root via path_guard,
+  // no shell injection (execFile, not exec).
+  runCommand as ToolDef<unknown>,
 ].sort((a, b) => a.name.localeCompare(b.name));
 
 export let TOOLS_BY_NAME: Record<string, ToolDef<unknown>> = Object.fromEntries(

apps/server/src/types/api.ts

@@ -127,6 +127,9 @@ export interface Agent {
   // bounded only by MAX_STEPS (200). 0 means "no tool calls allowed."
   steps: number | null;
   llama_extra_args: string[] | null;
+  // vDeepSeek: thinking/reasoning effort for DeepSeek V4 models.
+  // Maps to DeepSeek's reasoning_effort API param.
+  reasoning_effort: 'off' | 'low' | 'medium' | 'high' | 'xhigh' | 'max' | null;
 }
 
 // One entry per malformed `## Name` block. Per-block errors don't fail the
@@ -206,6 +209,8 @@ export interface Message {
   tokens_used: number | null;
   ctx_used: number | null;
   ctx_max: number | null;
+  cache_tokens: number | null;
+  reasoning_tokens: number | null;
   started_at: string | null;
   finished_at: string | null;
   created_at: string;

apps/web/src/api/client.ts

@@ -34,6 +34,10 @@ import type {
   SessionAnalyticsRow,
   ContextWindowStats,
   TokenBreakdownAgg,
+  ToolTraceResponse,
+  MemoryEntry,
+  DailyMemoryEntry,
+  DreamEntry,
 } from './types';
 
 // v2.6 Phase 1-UX §9b: chat-scoped agent-session rows. Returned by
@@ -340,6 +344,10 @@ export const api = {
         method: 'POST',
         body: JSON.stringify({ tool_call_id: toolCallId, decision }),
       }),
+    getTraces: (chatId: string, limit = 50, offset = 0) =>
+      request<ToolTraceResponse>(
+        `/api/chats/${chatId}/traces?limit=${limit}&offset=${offset}`,
+      ),
   },
 
   messages: {
@@ -608,6 +616,22 @@ export const api = {
     tokenBreakdown: () => request<{ categories: TokenBreakdownAgg[] }>('/api/coder/analytics/token-breakdown'),
   },
 
+  // memory-browser-ui: topic-based memory, daily log, dream diaries.
+  memory: {
+    list: (projectId: string) =>
+      request<{ entries: MemoryEntry[] }>(
+        `/api/memory?project_id=${encodeURIComponent(projectId)}`,
+      ),
+    daily: (projectId: string) =>
+      request<{ entries: DailyMemoryEntry[] }>(
+        `/api/memory/daily?project_id=${encodeURIComponent(projectId)}`,
+      ),
+    dreams: (projectId: string) =>
+      request<{ entries: DreamEntry[] }>(
+        `/api/memory/dreams?project_id=${encodeURIComponent(projectId)}`,
+      ),
+  },
+
   settings: {
     get: () => request<Record<string, unknown>>('/api/settings'),
     patch: (body: Record<string, unknown>) =>

apps/web/src/api/types.ts

@@ -152,6 +152,8 @@ export interface Message {
   tokens_used: number | null;
   ctx_used: number | null;
   ctx_max: number | null;
+  cache_tokens: number | null;
+  reasoning_tokens: number | null;
   // model-attribution: which model produced this assistant message (null for
   // user/system rows + pre-attribution messages). Rendered as a chip.
   model: string | null;
@@ -530,6 +532,8 @@ export type WsFrame =
       tokens_used?: number | null;
       ctx_used?: number | null;
       ctx_max?: number | null;
+      cache_tokens?: number | null;
+      reasoning_tokens?: number | null;
       started_at?: string | null;
       finished_at?: string | null;
       // model-attribution: the model that produced this assistant message.
@@ -555,8 +559,16 @@ export type WsFrame =
       ctx_used: number | null;
       ctx_max: number | null;
     }
-  | { type: 'messages_deleted'; message_ids: string[]; chat_id?: string }
+  | { type: 'messages_deleted'; message_ids: string[]; chat_id?: string     }
   | { type: 'chat_renamed'; chat_id: string; name: string }
+  | {
+      type: 'agent_snapshot';
+      chat_id: string;
+      agent?: string | null;
+      model: string;
+      mode?: string | null;
+      turn_number: number;
+    }
   // v1.11: published by services/compaction.ts after the new anchored
   // summary row lands. Carries the new summary row id for diagnostics; the
   // session-stream handler ignores the id and re-fetches the full message
@@ -600,6 +612,31 @@ export type WsFrame =
       run_status?: 'running' | 'completed' | 'failed' | 'cancelled';
       report?: string;
     }
+  // tool trace frames: per-tool-call lifecycle tracking
+  | {
+      type: 'tool_trace_start';
+      trace_id: string;
+      message_id: string;
+      chat_id: string;
+      tool_name: string;
+      tool_input: Record<string, unknown>;
+      started_at: string;
+    }
+  | {
+      type: 'tool_trace_finish';
+      trace_id: string;
+      message_id: string;
+      chat_id: string;
+      tool_name: string;
+      tool_output?: string | null;
+      latency_ms?: number;
+      tokens_used?: number | null;
+      cache_tokens?: number | null;
+      reasoning_tokens?: number | null;
+      error?: string;
+      outcome?: string;
+      finished_at: string;
+    }
   // arena frames: battle lifecycle + per-contestant streaming
   | {
       type: 'battle_started';
@@ -626,8 +663,64 @@ export type WsFrame =
       winner_contestant_id?: string | null;
       analysis_ready?: boolean;
       cross_exam_id?: string;
+    }
+  // streaming v2: channel-delta frames. Each carries a monotonic seq for
+  // out-of-order buffering and a channel discriminator; per-channel payloads
+  // map to the equivalent legacy frame types after reordering.
+  | {
+      type: 'channel_delta';
+      seq: number;
+      channel: 'text' | 'tool_call' | 'tool_result' | 'status' | 'error';
+      message_id?: string;
+      chat_id?: string;
+      content?: string;
+      tool_call?: ToolCall;
+      tool_message_id?: string;
+      tool_call_id?: string;
+      output?: unknown;
+      truncated?: boolean;
+      error?: string;
+      reason?: string;
+      status?: 'running' | 'complete' | 'cancelled' | 'failed';
+      tokens_used?: number | null;
+      ctx_used?: number | null;
+      ctx_max?: number | null;
+      cache_tokens?: number | null;
+      reasoning_tokens?: number | null;
+      started_at?: string | null;
+      finished_at?: string | null;
+      model?: string | null;
+      metadata?: MessageMetadata | null;
     };
 
+// tool traces: per-tool-call record returned by GET /api/chats/:id/traces.
+export interface ToolTrace {
+  id: string;
+  session_id: string;
+  chat_id: string;
+  message_id: string | null;
+  turn_number: number;
+  tool_name: string;
+  tool_input: Record<string, unknown>;
+  tool_output: string | null;
+  started_at: string;
+  finished_at: string | null;
+  latency_ms: number | null;
+  tokens_used: number | null;
+  cache_tokens: number | null;
+  reasoning_tokens: number | null;
+  error: string | null;
+  outcome: string | null;
+  created_at: string;
+}
+
+export interface ToolTraceResponse {
+  data: ToolTrace[];
+  total: number;
+  limit: number;
+  offset: number;
+}
+
 // token-analyzer-ui: aggregate token/cost analytics types.
 export interface AnalyticsSummary {
   total_input_tokens: number;
@@ -656,3 +749,21 @@ export interface TokenBreakdownAgg {
   category: string;
   total_tokens: number;
 }
+
+// ── Memory browser types ────────────────────────────────────────────
+export interface MemoryEntry {
+  id: string;
+  topic: string;
+  title: string;
+  content: string;
+  tags: string[];
+}
+
+export interface DailyMemoryEntry extends MemoryEntry {
+  date: string;
+}
+
+export interface DreamEntry {
+  date: string;
+  content: string;
+}

apps/web/src/components/MessageBubble.tsx

@@ -156,9 +156,16 @@ function StatsLine({ message }: { message: Message }) {
         : `${ctxUsed} ctx`
       : null;
 
+  const cacheHit = message.cache_tokens;
+  const reasoning = message.reasoning_tokens;
+  const cachePart = typeof cacheHit === 'number' && cacheHit > 0 ? `cache ${cacheHit}` : null;
+  const reasoningPart = typeof reasoning === 'number' && reasoning > 0 ? `think ${reasoning}` : null;
+
   const parts: string[] = [`${tokens} tokens`];
   if (tps !== null) parts.push(`${tps.toFixed(1)} tok/s`);
   if (ctxPart) parts.push(ctxPart);
+  if (cachePart) parts.push(cachePart);
+  if (reasoningPart) parts.push(reasoningPart);
 
   return (
     <div className="text-[10px] font-mono text-muted-foreground">

apps/web/src/components/MessageList.tsx

@@ -1,10 +1,14 @@
-import { useCallback, useEffect, useMemo, useRef } from 'react';
+import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
+import { motion } from 'framer-motion';
+import { Virtuoso, type VirtuosoHandle } from 'react-virtuoso';
+import { Pin } from 'lucide-react';
 import type { Chat, Message } from '@/api/types';
 import { MessageBubble } from './MessageBubble';
 import { ToolCallGroup } from './ToolCallGroup';
 import { ToolCallLine, type ToolRun } from './ToolCallLine';
 import { AskUserInputCard } from './AskUserInputCard';
 import { RequestReadAccessCard } from './RequestReadAccessCard';
+import { MessageListErrorBoundary } from './MessageListErrorBoundary';
 
 interface Props {
   messages: Message[];
@@ -142,27 +146,63 @@ function stampCapHits(items: RenderItem[]): RenderItem[] {
   });
 }
 
-const SCROLL_THRESHOLD_PX = 150;
-
 export function MessageList({ messages, sessionChats }: Props) {
-  const endRef = useRef<HTMLDivElement>(null);
+  const virtuosoRef = useRef<VirtuosoHandle>(null);
-  const scrollContainerRef = useRef<HTMLDivElement>(null);
   const isNearBottomRef = useRef(true);
+  const renderedKeysRef = useRef(new Set<string>());
+  const prefersReducedMotionRef = useRef(false);
+  const [animateEnabled, setAnimateEnabled] = useState(true);
+
+  const [pinMessageId, setPinMessageId] = useState<string | null>(() => {
+    if (typeof window !== 'undefined') {
+      const hash = window.location.hash;
+      if (hash.startsWith('#pin=')) return hash.slice(5);
+    }
+    return null;
+  });
 
   const renderItems = useMemo(() => stampCapHits(group(flatten(messages))), [messages]);
 
-  const handleScroll = useCallback(() => {
+  const pinIndex = useMemo(() => {
-    const el = scrollContainerRef.current;
+    if (!pinMessageId) return -1;
-    if (!el) return;
+    return renderItems.findIndex(
-    isNearBottomRef.current =
+      (item) => item.kind === 'message' && item.message.id === pinMessageId,
-      el.scrollHeight - el.scrollTop - el.clientHeight < SCROLL_THRESHOLD_PX;
+    );
+  }, [pinMessageId, renderItems]);
+
+  useEffect(() => {
+    const mq = window.matchMedia('(prefers-reduced-motion: reduce)');
+    prefersReducedMotionRef.current = mq.matches;
+    const handler = (e: MediaQueryListEvent) => {
+      prefersReducedMotionRef.current = e.matches;
+    };
+    mq.addEventListener('change', handler);
+    return () => mq.removeEventListener('change', handler);
   }, []);
 
   useEffect(() => {
-    if (isNearBottomRef.current) {
+    const handler = () => {
-      endRef.current?.scrollIntoView({ block: 'end' });
+      const hash = window.location.hash;
+      if (hash.startsWith('#pin=')) {
+        setPinMessageId(hash.slice(5));
+      } else {
+        setPinMessageId(null);
+      }
+    };
+    window.addEventListener('hashchange', handler);
+    return () => window.removeEventListener('hashchange', handler);
+  }, []);
+
+  const atBottomStateChange = useCallback((atBottom: boolean) => {
+    isNearBottomRef.current = atBottom;
+    setAnimateEnabled(atBottom);
+  }, []);
+
+  const scrollToPin = useCallback(() => {
+    if (pinIndex >= 0 && virtuosoRef.current) {
+      virtuosoRef.current.scrollToIndex({ index: pinIndex, align: 'center' });
     }
-  }, [messages]);
+  }, [pinIndex]);
 
   if (messages.length === 0) {
     return (
@@ -173,46 +213,78 @@ export function MessageList({ messages, sessionChats }: Props) {
   }
 
   return (
-    <div className="flex-1 overflow-y-auto" ref={scrollContainerRef} onScroll={handleScroll}>
+    <MessageListErrorBoundary>
-      <div className="max-w-[1000px] mx-auto w-full px-6 py-4 space-y-4">
+    <div className="flex-1 flex flex-col">
-        {renderItems.map((item) => {
+      {pinMessageId && pinIndex >= 0 && (
-          if (item.kind === 'message') {
+        <div className="shrink-0 flex items-center gap-2 px-4 py-1.5 bg-primary/10 border-b border-primary/20 text-xs text-primary">
-            return (
+          <Pin className="size-3" />
-              <MessageBubble
+          <span>Pinned message</span>
-                key={item.message.id}
+          <button
-                message={item.message}
+            type="button"
-                sessionChats={sessionChats}
+            onClick={scrollToPin}
-                capHitInfo={item.capHitInfo}
+            className="ml-auto underline hover:no-underline"
-              />
+          >
-            );
+            Jump to pinned
-          }
+          </button>
-          if (item.kind === 'tool_run') {
+        </div>
-            if (item.run.call.name === 'ask_user_input') {
+      )}
-              return (
+      <Virtuoso
-                <AskUserInputCard
+        ref={virtuosoRef}
-                  key={item.key}
+        className="flex-1"
-                  toolCall={item.run.call}
+        data={renderItems}
-                  toolResult={item.run.result}
+        followOutput="auto"
-                  chatId={item.chatId}
+        overscan={5}
-                />
+        atBottomStateChange={atBottomStateChange}
-              );
+        itemContent={(index, item) => {
-            }
+          const key = item.kind === 'message' ? `msg-${item.message.id}` : item.key;
-            if (item.run.call.name === 'request_read_access') {
+          const isNew = !renderedKeysRef.current.has(key);
-              return (
+          if (isNew) renderedKeysRef.current.add(key);
-                <RequestReadAccessCard
+
-                  key={item.key}
+          const reducedMotion = prefersReducedMotionRef.current;
-                  toolCall={item.run.call}
+          const delay = isNew && !reducedMotion ? Math.min(index * 0.04, 0.5) : 0;
-                  toolResult={item.run.result}
+          const shouldAnimate = isNew && animateEnabled;
-                  chatId={item.chatId}
+
-                />
+          return (
-              );
+            <div
-            }
+              className="max-w-[1000px] mx-auto w-full px-6 py-2"
-            return <ToolCallLine key={item.key} run={item.run} />;
+              id={item.kind === 'message' ? `msg-${item.message.id}` : undefined}
-          }
+            >
-          return <ToolCallGroup key={item.key} runs={item.runs} />;
+              <motion.div
-        })}
+                initial={shouldAnimate ? { opacity: 0, y: 8 } : false}
-        <div ref={endRef} />
+                animate={{ opacity: 1, y: 0 }}
-      </div>
+                transition={delay > 0 ? { duration: 0.2, delay } : { duration: 0 }}
+              >
+                {item.kind === 'message' ? (
+                  <MessageBubble
+                    message={item.message}
+                    sessionChats={sessionChats}
+                    capHitInfo={item.capHitInfo}
+                  />
+                ) : item.kind === 'tool_run' ? (
+                  item.run.call.name === 'ask_user_input' ? (
+                    <AskUserInputCard
+                      toolCall={item.run.call}
+                      toolResult={item.run.result}
+                      chatId={item.chatId}
+                    />
+                  ) : item.run.call.name === 'request_read_access' ? (
+                    <RequestReadAccessCard
+                      toolCall={item.run.call}
+                      toolResult={item.run.result}
+                      chatId={item.chatId}
+                    />
+                  ) : (
+                    <ToolCallLine run={item.run} />
+                  )
+                ) : (
+                  <ToolCallGroup runs={item.runs} />
+                )}
+              </motion.div>
+            </div>
+          );
+        }}
+      />
     </div>
+    </MessageListErrorBoundary>
   );
 }

apps/web/src/components/SessionTimeline.tsx

@@ -0,0 +1,188 @@
+import { useMemo } from 'react';
+import { Clock, Cpu, Hash, Layers, RefreshCw, X } from 'lucide-react';
+import { Button } from '@/components/ui/button';
+import { cn } from '@/lib/utils';
+import type { Message } from '@/api/types';
+
+interface TurnEntry {
+  message: Message;
+  turnNumber: number;
+  elapsed: string;
+  toolCallCount: number;
+}
+
+interface Props {
+  messages: Message[];
+  chatId: string;
+  onClose: () => void;
+  onScrollToMessage: (messageId: string) => void;
+}
+
+function formatElapsed(startedAt: string | null, finishedAt: string | null): string {
+  if (!startedAt || !finishedAt) return '—';
+  const start = new Date(startedAt).getTime();
+  const end = new Date(finishedAt).getTime();
+  if (Number.isNaN(start) || Number.isNaN(end)) return '—';
+  const ms = end - start;
+  if (ms < 0) return '—';
+  if (ms < 1000) return `${ms}ms`;
+  if (ms < 60_000) return `${Math.round(ms / 1000)}s`;
+  const mins = Math.floor(ms / 60_000);
+  const secs = Math.round((ms % 60_000) / 1000);
+  return `${mins}m ${secs}s`;
+}
+
+/**
+ * SessionTimeline — vertical timeline of assistant turns in a chat.
+ *
+ * Renders a side-panel overlay with each turn's model, tokens, duration,
+ * and tool-call count. Clicking a turn scrolls the main chat to that
+ * message. The latest turn shows a "Scroll to latest" restore button.
+ */
+export function SessionTimeline({ messages, onClose, onScrollToMessage }: Props) {
+  const turns = useMemo<TurnEntry[]>(() => {
+    const assistantMsgs = messages.filter(
+      (m) => m.role === 'assistant' && m.status === 'complete',
+    );
+    return assistantMsgs.map((message, i) => ({
+      message,
+      turnNumber: i + 1,
+      elapsed: formatElapsed(message.started_at, message.finished_at),
+      toolCallCount: message.tool_calls?.length ?? 0,
+    }));
+  }, [messages]);
+
+  const latestTurnId = turns.length > 0 ? turns[turns.length - 1]!.message.id : null;
+
+  return (
+    <div className="absolute inset-y-0 right-0 w-80 z-20 bg-background border-l border-border shadow-xl flex flex-col overflow-hidden">
+      {/* Header */}
+      <div className="flex items-center justify-between px-3 py-2.5 border-b border-border shrink-0">
+        <h3 className="text-sm font-semibold">Session Timeline</h3>
+        <Button variant="ghost" size="icon-xs" onClick={onClose} aria-label="Close timeline">
+          <X size={14} />
+        </Button>
+      </div>
+
+      {/* Timeline entries */}
+      <div className="flex-1 overflow-y-auto px-3 py-3">
+        {turns.length === 0 ? (
+          <div className="text-xs text-muted-foreground text-center py-8">
+            No assistant turns yet.
+          </div>
+        ) : (
+          <div className="relative">
+            {turns.map((turn, i) => {
+              const isLatest = turn.message.id === latestTurnId;
+              return (
+                <div key={turn.message.id} className="relative flex gap-3 pb-4 last:pb-0">
+                  {/* Vertical connector line */}
+                  {i < turns.length - 1 && (
+                    <div className="absolute left-[11px] top-5 bottom-0 w-px bg-border" />
+                  )}
+
+                  {/* Timeline dot button */}
+                  <button
+                    type="button"
+                    onClick={() => onScrollToMessage(turn.message.id)}
+                    className="relative flex-shrink-0 mt-1 cursor-pointer focus:outline-none focus-visible:ring-2 focus-visible:ring-ring rounded-full"
+                    aria-label={`Scroll to turn ${turn.turnNumber}`}
+                  >
+                    <div
+                      className={cn(
+                        'size-[22px] rounded-full border-2 flex items-center justify-center',
+                        isLatest
+                          ? 'border-primary bg-primary/10'
+                          : 'border-muted-foreground/30 bg-background',
+                      )}
+                    >
+                      <div
+                        className={cn(
+                          'size-2 rounded-full',
+                          isLatest ? 'bg-primary' : 'bg-muted-foreground/50',
+                        )}
+                      />
+                    </div>
+                  </button>
+
+                  {/* Content card */}
+                  <div className="flex-1 min-w-0">
+                    <div
+                      className="rounded-lg border border-border bg-card p-2.5 cursor-pointer hover:bg-muted/40 transition-colors"
+                      onClick={() => onScrollToMessage(turn.message.id)}
+                    >
+                      {/* Turn number + latest badge */}
+                      <div className="flex items-center justify-between mb-1.5">
+                        <span className="text-xs font-semibold text-foreground">
+                          Turn {turn.turnNumber}
+                        </span>
+                        {isLatest && (
+                          <span className="text-[10px] font-medium text-primary bg-primary/10 px-1.5 py-0.5 rounded-full leading-none">
+                            Latest
+                          </span>
+                        )}
+                      </div>
+
+                      {/* Model name */}
+                      <div className="flex items-center gap-1.5 text-xs text-muted-foreground mb-1.5">
+                        <Cpu size={11} className="shrink-0" />
+                        <span className="truncate">{turn.message.model ?? 'Unknown model'}</span>
+                      </div>
+
+                      {/* Token count with breakdown */}
+                      {turn.message.tokens_used != null && (
+                        <div className="flex items-center gap-1.5 text-xs text-muted-foreground mb-1 flex-wrap">
+                          <Hash size={11} className="shrink-0" />
+                          <span>{turn.message.tokens_used.toLocaleString()} total</span>
+                          {turn.message.cache_tokens != null && turn.message.cache_tokens > 0 && (
+                            <span className="text-blue-500 dark:text-blue-400">
+                              ({turn.message.cache_tokens.toLocaleString()} cache)
+                            </span>
+                          )}
+                          {turn.message.reasoning_tokens != null && turn.message.reasoning_tokens > 0 && (
+                            <span className="text-amber-500 dark:text-amber-400">
+                              ({turn.message.reasoning_tokens.toLocaleString()} reasoning)
+                            </span>
+                          )}
+                        </div>
+                      )}
+
+                      {/* Duration + tool calls */}
+                      <div className="flex items-center gap-3 text-xs text-muted-foreground">
+                        <span className="inline-flex items-center gap-1">
+                          <Clock size={11} />
+                          {turn.elapsed}
+                        </span>
+                        {turn.toolCallCount > 0 && (
+                          <span className="inline-flex items-center gap-1">
+                            <Layers size={11} />
+                            {turn.toolCallCount} tool call{turn.toolCallCount !== 1 ? 's' : ''}
+                          </span>
+                        )}
+                      </div>
+                    </div>
+
+                    {/* Restore button for latest turn */}
+                    {isLatest && (
+                      <button
+                        type="button"
+                        onClick={(e) => {
+                          e.stopPropagation();
+                          onScrollToMessage(turn.message.id);
+                        }}
+                        className="mt-1.5 w-full inline-flex items-center justify-center gap-1 text-[11px] font-medium text-primary hover:text-primary/80 transition-colors py-1 rounded-md hover:bg-primary/5"
+                      >
+                        <RefreshCw size={11} />
+                        Scroll to latest
+                      </button>
+                    )}
+                  </div>
+                </div>
+              );
+            })}
+          </div>
+        )}
+      </div>
+    </div>
+  );
+}

apps/web/src/components/TraceViewer.tsx

@@ -0,0 +1,251 @@
+import { useCallback, useEffect, useMemo, useState } from 'react';
+import { ChevronDown, ChevronRight, AlertCircle } from 'lucide-react';
+import { api } from '@/api/client';
+import type { ToolTrace } from '@/api/types';
+
+interface Props {
+  chatId: string;
+}
+
+// Max latency used as the 100% reference for the bar visualization
+const MAX_LATENCY_REF = 30_000; // 30s
+
+function latencyBarWidth(latencyMs: number | null): number {
+  if (latencyMs == null) return 0;
+  return Math.min(latencyMs / MAX_LATENCY_REF, 1);
+}
+
+function TraceRow({ trace }: { trace: ToolTrace }) {
+  const [expanded, setExpanded] = useState(false);
+  const isError = trace.outcome !== null && trace.outcome !== 'success';
+  const barWidth = latencyBarWidth(trace.latency_ms);
+  const latencyLabel =
+    trace.latency_ms != null
+      ? trace.latency_ms >= 1000
+        ? `${(trace.latency_ms / 1000).toFixed(1)}s`
+        : `${trace.latency_ms}ms`
+      : null;
+
+  return (
+    <div className="border-b border-border/40 last:border-0">
+      <button
+        type="button"
+        onClick={() => setExpanded((v) => !v)}
+        className="flex items-center gap-2 w-full text-left px-2 py-1.5 hover:bg-muted/40 text-[11px]"
+      >
+        <span className="shrink-0 text-muted-foreground">
+          {expanded ? <ChevronDown size={10} /> : <ChevronRight size={10} />}
+        </span>
+        <span className="font-medium truncate min-w-0">
+          {trace.tool_name}
+        </span>
+        {isError && (
+          <span className="shrink-0 text-destructive" title={trace.error ?? 'error'}>
+            <AlertCircle size={10} />
+          </span>
+        )}
+        <span className="shrink-0 text-muted-foreground font-mono tabular-nums min-w-[3rem] text-right">
+          {latencyLabel ?? '—'}
+        </span>
+        <span className="flex-1 h-1.5 bg-muted rounded-full overflow-hidden min-w-[24px] max-w-[60px]">
+          <span
+            className="block h-full rounded-full bg-primary/30 transition-all"
+            style={{ width: `${barWidth * 100}%` }}
+          />
+        </span>
+        {trace.tokens_used != null && trace.tokens_used > 0 && (
+          <span className="shrink-0 text-muted-foreground font-mono tabular-nums">
+            {trace.tokens_used}t
+          </span>
+        )}
+        {trace.cache_tokens != null && trace.cache_tokens > 0 && (
+          <span className="shrink-0 text-muted-foreground/60 font-mono tabular-nums text-[10px]">
+            c{trace.cache_tokens}
+          </span>
+        )}
+        {trace.reasoning_tokens != null && trace.reasoning_tokens > 0 && (
+          <span className="shrink-0 text-muted-foreground/60 font-mono tabular-nums text-[10px]">
+            r{trace.reasoning_tokens}
+          </span>
+        )}
+      </button>
+      {expanded && (
+        <div className="px-3 pb-2 space-y-1.5 text-[11px] border-t border-border/40 pt-1.5">
+          <div>
+            <span className="text-muted-foreground font-medium">Input</span>
+            <pre className="mt-0.5 font-mono text-[10px] leading-relaxed text-muted-foreground bg-muted/30 rounded p-1.5 overflow-x-auto max-h-32 overflow-y-auto whitespace-pre-wrap break-all">
+              {JSON.stringify(trace.tool_input, null, 1)}
+            </pre>
+          </div>
+          {trace.tool_output != null && (
+            <div>
+              <span className="text-muted-foreground font-medium">Output</span>
+              <pre className="mt-0.5 font-mono text-[10px] leading-relaxed text-muted-foreground bg-muted/30 rounded p-1.5 overflow-x-auto max-h-32 overflow-y-auto whitespace-pre-wrap break-all">
+                {trace.tool_output.length > 2000
+                  ? `${trace.tool_output.slice(0, 2000)}…`
+                  : trace.tool_output}
+              </pre>
+            </div>
+          )}
+          {trace.error != null && (
+            <div className="text-destructive text-[10px] font-mono leading-relaxed bg-destructive/10 rounded p-1.5">
+              {trace.error}
+            </div>
+          )}
+        </div>
+      )}
+    </div>
+  );
+}
+
+function TraceGroup({ toolName, traces }: { toolName: string; traces: ToolTrace[] }) {
+  const [collapsed, setCollapsed] = useState(false);
+  const totalLatency = traces.reduce((sum, t) => sum + (t.latency_ms ?? 0), 0);
+  const totalTokens = traces.reduce((sum, t) => sum + (t.tokens_used ?? 0), 0);
+  const errorCount = traces.filter(
+    (t) => t.outcome !== null && t.outcome !== 'success',
+  ).length;
+
+  return (
+    <div>
+      <button
+        type="button"
+        onClick={() => setCollapsed((v) => !v)}
+        className="flex items-center gap-1.5 w-full text-left px-2 py-1 text-[11px] font-medium text-muted-foreground hover:bg-muted/30 sticky top-0 bg-background"
+      >
+        {collapsed ? <ChevronRight size={10} /> : <ChevronDown size={10} />}
+        <span>{toolName}</span>
+        <span className="text-muted-foreground/60 font-mono tabular-nums">
+          ×{traces.length}
+        </span>
+        {totalTokens > 0 && (
+          <span className="text-muted-foreground/60 font-mono tabular-nums text-[10px]">
+            {totalTokens}t
+          </span>
+        )}
+        {totalLatency > 0 && (
+          <span className="text-muted-foreground/60 font-mono tabular-nums text-[10px]">
+            {totalLatency >= 1000
+              ? `${(totalLatency / 1000).toFixed(1)}s`
+              : `${totalLatency}ms`}
+          </span>
+        )}
+        {errorCount > 0 && (
+          <span className="ml-auto text-destructive text-[10px] font-medium">
+            {errorCount} error{errorCount > 1 ? 's' : ''}
+          </span>
+        )}
+      </button>
+      {!collapsed && traces.map((trace) => (
+        <TraceRow key={trace.id} trace={trace} />
+      ))}
+    </div>
+  );
+}
+
+export function TraceViewer({ chatId }: Props) {
+  const [open, setOpen] = useState(false);
+  const [traces, setTraces] = useState<ToolTrace[]>([]);
+  const [loading, setLoading] = useState(false);
+  const [error, setError] = useState<string | null>(null);
+
+  const fetchTraces = useCallback(async () => {
+    setLoading(true);
+    setError(null);
+    try {
+      const res = await api.chats.getTraces(chatId);
+      setTraces(res.data);
+    } catch (err) {
+      setError(err instanceof Error ? err.message : 'failed to load traces');
+    } finally {
+      setLoading(false);
+    }
+  }, [chatId]);
+
+  useEffect(() => {
+    if (open) {
+      void fetchTraces();
+    }
+  }, [open, fetchTraces]);
+
+  const groups = useMemo(() => {
+    const map = new Map<string, ToolTrace[]>();
+    for (const t of traces) {
+      const existing = map.get(t.tool_name);
+      if (existing) {
+        existing.push(t);
+      } else {
+        map.set(t.tool_name, [t]);
+      }
+    }
+    return map;
+  }, [traces]);
+
+  const totalCount = traces.length;
+  const errorCount = traces.filter(
+    (t) => t.outcome !== null && t.outcome !== 'success',
+  ).length;
+
+  return (
+    <div className="border-t">
+      <button
+        type="button"
+        onClick={() => setOpen((v) => !v)}
+        className="flex items-center gap-1.5 w-full px-3 py-1.5 text-[11px] font-medium text-muted-foreground hover:bg-muted/20"
+      >
+        {open ? <ChevronDown size={12} /> : <ChevronRight size={12} />}
+        <span>Tool traces</span>
+        {totalCount > 0 && (
+          <span className="font-mono tabular-nums text-muted-foreground/60">
+            {totalCount}
+          </span>
+        )}
+        {errorCount > 0 && (
+          <span className="text-destructive ml-auto text-[10px] font-medium">
+            {errorCount} error{errorCount > 1 ? 's' : ''}
+          </span>
+        )}
+        {loading && (
+          <span className="ml-auto inline-block w-1.5 h-3 align-baseline bg-muted-foreground/60 animate-pulse" />
+        )}
+      </button>
+      {open && (
+        <div className="max-h-80 overflow-y-auto border-t border-border/40">
+          {loading && traces.length === 0 && (
+            <div className="px-3 py-4 text-[11px] text-muted-foreground text-center">
+              Loading traces…
+            </div>
+          )}
+          {error && (
+            <div className="px-3 py-2 text-[11px] text-destructive">
+              {error}
+              <button
+                type="button"
+                onClick={() => void fetchTraces()}
+                className="ml-2 underline hover:no-underline"
+              >
+                retry
+              </button>
+            </div>
+          )}
+          {!loading && !error && traces.length === 0 && (
+            <div className="px-3 py-4 text-[11px] text-muted-foreground text-center">
+              No tool traces yet.
+            </div>
+          )}
+          {traces.length > 0 && (
+            <div className="divide-y divide-border/40">
+              {Array.from(groups.entries()).map(([toolName, groupTraces]) => (
+                <TraceGroup
+                  key={toolName}
+                  toolName={toolName}
+                  traces={groupTraces}
+                />
+              ))}
+            </div>
+          )}
+        </div>
+      )}
+    </div>
+  );
+}

apps/web/src/components/panes/ChatPane.tsx

@@ -1,11 +1,13 @@
 import { useCallback, useEffect, useRef, useState } from 'react';
-import { Pencil, Send, X } from 'lucide-react';
+import { History, Pencil, Send, X } from 'lucide-react';
 import { toast } from 'sonner';
 import { api } from '@/api/client';
 import { useSessionStream } from '@/hooks/useSessionStream';
 import { MessageList } from '@/components/MessageList';
 import { ChatInput } from '@/components/ChatInput';
 import { StaleStreamBanner } from '@/components/StaleStreamBanner';
+import { SessionTimeline } from '@/components/SessionTimeline';
+import { TraceViewer } from '@/components/TraceViewer';
 import { sendToChat } from '@/lib/events';
 
 interface Props {
@@ -25,6 +27,7 @@ interface Props {
 export function ChatPane({ sessionId, chatId, projectId, agentId, onAgentChange, sessionChats, webSearchEnabled }: Props) {
   const stream = useSessionStream(sessionId);
   const lastErrorRef = useRef<string | null>(null);
+  const [showTimeline, setShowTimeline] = useState(false);
   const [queue, setQueue] = useState<{ id: string; text: string }[]>([]);
   const queueIdRef = useRef(0);
   const processingRef = useRef(false);
@@ -203,11 +206,41 @@ export function ChatPane({ sessionId, chatId, projectId, agentId, onAgentChange,
     }
   }
 
+  const handleScrollToMessage = useCallback((messageId: string) => {
+    const el = document.getElementById(`msg-${messageId}`);
+    if (el) {
+      el.scrollIntoView({ behavior: 'smooth', block: 'center' });
+    }
+  }, []);
+
   return (
-    <div className="flex flex-col h-full min-h-0">
+    <div className="flex flex-col h-full min-h-0 relative">
+      {chatMessages.length > 0 && (
+        <div className="absolute top-2 right-2 z-10">
+          <button
+            type="button"
+            onClick={() => setShowTimeline((v) => !v)}
+            className={`
+              inline-flex items-center gap-1 px-2 py-1 rounded-md text-xs font-medium
+              transition-colors border
+              ${showTimeline
+                ? 'bg-primary text-primary-foreground border-primary'
+                : 'bg-background text-muted-foreground border-border hover:bg-muted hover:text-foreground'
+              }
+            `}
+            aria-label={showTimeline ? 'Close timeline' : 'Open timeline'}
+          >
+            <History size={12} />
+            Timeline
+          </button>
+        </div>
+      )}
+
       {/* v1.11.5: ContextBar moved into ChatInput (above the agent picker). */}
       <MessageList messages={chatMessages} sessionChats={sessionChats} />
 
+      <TraceViewer chatId={chatId} />
+
       {/* Queued messages */}
       {queue.length > 0 && (
         <div className="border-t">
@@ -275,6 +308,16 @@ export function ChatPane({ sessionId, chatId, projectId, agentId, onAgentChange,
         messages={chatMessages}
         modelContextLimit={modelContextLimit}
       />
+
+      {/* Timeline overlay panel */}
+      {showTimeline && (
+        <SessionTimeline
+          messages={chatMessages}
+          chatId={chatId}
+          onClose={() => setShowTimeline(false)}
+          onScrollToMessage={handleScrollToMessage}
+        />
+      )}
     </div>
   );
 }

apps/web/src/hooks/useSessionStream.ts

@@ -16,6 +16,133 @@ interface State {
   error: string | null;
 }
 
+type Channel = 'text' | 'tool_call' | 'tool_result' | 'status' | 'error';
+
+// Per-channel out-of-order frame buffer with contiguous-seq flush logic.
+// Stores incoming channel_delta frames and releases them only when seq
+// becomes contiguous with the expected next value.
+class ChannelBuffer {
+  private expectedSeq = 0;
+  private buffer = new Map<number, ChannelDeltaWsFrame>();
+
+  push(frame: ChannelDeltaWsFrame): ChannelDeltaWsFrame[] {
+    if (frame.seq < this.expectedSeq) {
+      return [];
+    }
+    if (frame.seq === this.expectedSeq) {
+      this.expectedSeq++;
+      const flushed = [frame];
+      while (this.buffer.has(this.expectedSeq)) {
+        const next = this.buffer.get(this.expectedSeq)!;
+        this.buffer.delete(this.expectedSeq);
+        this.expectedSeq++;
+        flushed.push(next);
+      }
+      return flushed;
+    }
+    this.buffer.set(frame.seq, frame);
+    return [];
+  }
+
+  get expectedNextSeq(): number {
+    return this.expectedSeq;
+  }
+
+  get bufferedCount(): number {
+    return this.buffer.size;
+  }
+
+  reset(seq = 0) {
+    this.expectedSeq = seq;
+    this.buffer.clear();
+  }
+}
+
+type ChannelDeltaWsFrame = WsFrame & { type: 'channel_delta' };
+
+// Converts a flushed channel_delta into the equivalent legacy frame so the
+// existing applyFrame reducer handles the per-message mutation. Status
+// deltas are handled separately (they may need to create the message first
+// and apply throughput metadata independently of terminal status).
+function channelDeltaToLegacyFrame(delta: ChannelDeltaWsFrame): WsFrame | null {
+  switch (delta.channel) {
+    case 'text':
+      return { type: 'delta', message_id: delta.message_id!, content: delta.content! };
+    case 'tool_call':
+      return { type: 'tool_call', message_id: delta.message_id!, tool_call: delta.tool_call! };
+    case 'tool_result':
+      return {
+        type: 'tool_result',
+        tool_message_id: delta.tool_message_id!,
+        chat_id: delta.chat_id,
+        tool_call_id: delta.tool_call_id!,
+        output: delta.output,
+        truncated: delta.truncated!,
+        ...(delta.error ? { error: delta.error } : {}),
+      };
+    case 'error':
+      return {
+        type: 'error',
+        message_id: delta.message_id,
+        chat_id: delta.chat_id,
+        error: delta.error!,
+        ...(delta.reason ? { reason: delta.reason as never } : {}),
+      };
+    case 'status':
+      return null;
+  }
+}
+
+// Apply a flushed status channel_delta to state. Status deltas carry both
+// intermediate throughput metadata (tokens_used, ctx_used, model, etc.)
+// and optional terminal transitions (complete / cancelled / failed).
+function applyStatusDelta(state: State, delta: ChannelDeltaWsFrame): State {
+  const { message_id, chat_id, status, channel: _c, seq: _s, type: _t, ...meta } = delta;
+  if (!message_id) return state;
+  let next = state;
+
+  const exists = next.messages.some((m) => m.id === message_id);
+  if (!exists && status === 'running') {
+    next = applyFrame(next, {
+      type: 'message_started',
+      message_id,
+      chat_id,
+      role: 'assistant',
+    });
+  }
+
+  const metaFields: Record<string, unknown> = {};
+  if (meta.tokens_used !== undefined) metaFields.tokens_used = meta.tokens_used;
+  if (meta.ctx_used !== undefined) metaFields.ctx_used = meta.ctx_used;
+  if (meta.ctx_max !== undefined) metaFields.ctx_max = meta.ctx_max;
+  if (meta.cache_tokens !== undefined) metaFields.cache_tokens = meta.cache_tokens;
+  if (meta.reasoning_tokens !== undefined) metaFields.reasoning_tokens = meta.reasoning_tokens;
+  if (meta.started_at !== undefined) metaFields.started_at = meta.started_at;
+  if (meta.finished_at !== undefined) metaFields.finished_at = meta.finished_at;
+  if (meta.model !== undefined) metaFields.model = meta.model;
+  if (meta.metadata !== undefined) metaFields.metadata = meta.metadata;
+
+  if (Object.keys(metaFields).length > 0) {
+    next = {
+      ...next,
+      messages: next.messages.map((m) =>
+        m.id === message_id ? { ...m, ...metaFields } : m,
+      ),
+    };
+  }
+
+  if (status === 'complete' || status === 'cancelled' || status === 'failed') {
+    next = applyFrame(next, {
+      type: 'message_complete',
+      message_id,
+      chat_id,
+      status,
+    });
+  }
+
+  return next;
+}
+
 function applyFrame(state: State, frame: WsFrame): State {
   switch (frame.type) {
     case 'snapshot': {
@@ -33,13 +160,13 @@ function applyFrame(state: State, frame: WsFrame): State {
         kind: 'message',
         tool_calls: null,
         tool_results: null,
-        // v1.8.2: cap-hit sentinels arrive role='system' and are static, so
-        // skipping the streaming dot for them keeps the UI accurate.
         status: frame.role === 'system' ? 'complete' : 'streaming',
         last_seq: 0,
         tokens_used: null,
         ctx_used: null,
         ctx_max: null,
+        cache_tokens: null,
+        reasoning_tokens: null,
         model: null,
         started_at: null,
         finished_at: null,
@@ -63,7 +190,7 @@ function applyFrame(state: State, frame: WsFrame): State {
       const next = state.messages.map((m) =>
         m.id === frame.message_id
           ? { ...m, tool_calls: [...(m.tool_calls ?? []), frame.tool_call] }
-          : m
+          : m,
       );
       return { ...state, messages: next };
     }
@@ -83,7 +210,7 @@ function applyFrame(state: State, frame: WsFrame): State {
                 },
                 status: 'complete' as const,
               }
-            : m
+            : m,
         );
         return { ...state, messages: next };
       }
@@ -106,6 +233,8 @@ function applyFrame(state: State, frame: WsFrame): State {
         tokens_used: null,
         ctx_used: null,
         ctx_max: null,
+        cache_tokens: null,
+        reasoning_tokens: null,
         model: null,
         started_at: null,
         finished_at: null,
@@ -123,22 +252,18 @@ function applyFrame(state: State, frame: WsFrame): State {
               ...(frame.tokens_used !== undefined ? { tokens_used: frame.tokens_used } : {}),
               ...(frame.ctx_used !== undefined ? { ctx_used: frame.ctx_used } : {}),
               ...(frame.ctx_max !== undefined ? { ctx_max: frame.ctx_max } : {}),
+              ...(frame.cache_tokens !== undefined ? { cache_tokens: frame.cache_tokens } : {}),
+              ...(frame.reasoning_tokens !== undefined ? { reasoning_tokens: frame.reasoning_tokens } : {}),
               ...(frame.started_at !== undefined ? { started_at: frame.started_at } : {}),
               ...(frame.finished_at !== undefined ? { finished_at: frame.finished_at } : {}),
               ...(frame.model !== undefined ? { model: frame.model } : {}),
-              // v1.8.2: cap-hit sentinels (and future stamped metadata) ride
-              // in on this terminal frame so the reducer can attach it
-              // without waiting for a refetch.
               ...(frame.metadata !== undefined ? { metadata: frame.metadata } : {}),
             }
-          : m
+          : m,
       );
       return { ...state, messages: next };
     }
     case 'usage': {
-      // v1.12.2: live throughput. Side-effects into the module-level
-      // singleton consumed by ChatThroughput; no message-state mutation.
-      // chat_id is the optional ws-frame field; usage frames always include it.
       if (frame.chat_id) {
         recordUsage(frame.chat_id, {
           completion_tokens: frame.completion_tokens,
@@ -166,10 +291,6 @@ function applyFrame(state: State, frame: WsFrame): State {
       return state;
     }
     case 'error': {
-      // v1.8.2: when the frame carries a structured reason, stamp it onto the
-      // failed message's metadata so the bubble can render specifics inline
-      // (the WS error frame is one-shot; refresh-safe rendering needs the
-      // value persisted on the message).
       const errorMeta = frame.reason
         ? { kind: 'error' as const, error_reason: frame.reason, error_text: frame.error }
         : null;
@@ -181,47 +302,53 @@ function applyFrame(state: State, frame: WsFrame): State {
                   status: 'failed' as const,
                   ...(errorMeta ? { metadata: errorMeta } : {}),
                 }
-              : m
+              : m,
           )
         : state.messages;
       return { ...state, messages: next, error: frame.error };
     }
     case 'compacted': {
-      // v1.11: side effects (refetch + toast) live in ws.onmessage; the
+      return state;
-      // reducer just no-ops so TS exhaustiveness is satisfied without
+    }
-      // duplicating async work inside a synchronous reducer.
+    case 'agent_snapshot': {
       return state;
     }
     case 'agent_status_updated': {
-      // agent-status-normalize (#10): coder-only frame consumed by CoderPane's
-      // own WS handler, not BooChat's native message reducer. No-op here to keep
-      // TS exhaustiveness satisfied (native sessions never emit it).
       return state;
     }
     case 'flow_run_started':
     case 'flow_run_step_updated': {
-      // Orchestrator frames consumed by OrchestratorPane's own subscription.
-      // No-op here to keep TS exhaustiveness satisfied.
       return state;
     }
     case 'battle_started':
     case 'contestant_updated':
     case 'battle_updated': {
-      // Arena frames consumed by ArenaPane's own subscription.
+      return state;
-      // No-op here to keep TS exhaustiveness satisfied.
+    }
+    case 'channel_delta': {
+      return state;
+    }
+    default: {
       return state;
     }
   }
 }
 
-// Matches useUserEvents — exponential backoff with the same ceiling so the
-// two channels reconnect on the same cadence after a network handoff.
 const RECONNECT_INITIAL_MS = 1000;
 const RECONNECT_MAX_MS = 30_000;
+const CHANNEL_STALL_MS = 5000;
 
 export function useSessionStream(sessionId: string | undefined) {
   const [state, setState] = useState<State>({ messages: [], connected: false, error: null });
   const wsRef = useRef<WebSocket | null>(null);
+  const channelBuffersRef = useRef<Map<Channel, ChannelBuffer>>(new Map());
+  const lastFrameTimeRef = useRef<Partial<Record<Channel, number>>>({});
+
+  // Reset channel buffers when session changes
+  useEffect(() => {
+    channelBuffersRef.current = new Map();
+    lastFrameTimeRef.current = {};
+  }, [sessionId]);
 
   useEffect(() => {
     if (!sessionId) return;
@@ -232,6 +359,73 @@ export function useSessionStream(sessionId: string | undefined) {
     let reconnectTimer: ReturnType<typeof setTimeout> | null = null;
     let reconnectDelay = RECONNECT_INITIAL_MS;
 
+    const getLastSeqPerChannel = () => {
+      const seqs: Partial<Record<Channel, number>> = {};
+      for (const [ch, buf] of channelBuffersRef.current) {
+        seqs[ch] = buf.expectedNextSeq;
+      }
+      return seqs;
+    };
+
+    const flushDeltaToState = (delta: ChannelDeltaWsFrame) => {
+      console.error('FDS', delta.channel, 'flushed');
+      if (delta.channel === 'status') {
+        setState((s) => applyStatusDelta(s, delta));
+      } else {
+        const legacy = channelDeltaToLegacyFrame(delta);
+        if (legacy) {
+          setState((s) => applyFrame(s, legacy));
+        }
+      }
+    };
+
+    const handleChannelDelta = (frame: ChannelDeltaWsFrame) => {
+      console.error('HCD', frame.channel, frame.seq, 'bufs', channelBuffersRef.current.size);
+      const buffers = channelBuffersRef.current;
+      let buffer = buffers.get(frame.channel);
+      if (!buffer) {
+        buffer = new ChannelBuffer();
+        buffers.set(frame.channel, buffer);
+      }
+
+      const flushed = buffer.push(frame);
+      if (flushed.length === 0) return;
+
+      for (const delta of flushed) {
+        flushDeltaToState(delta);
+      }
+
+      let emittedRefresh = false;
+      for (const delta of flushed) {
+        if (delta.channel === 'status' && (delta.status === 'complete' || delta.status === 'cancelled' || delta.status === 'failed')) {
+          emittedRefresh = true;
+        }
+      }
+      if (emittedRefresh) {
+        sessionEvents.emit({ type: 'git_diff_refresh' });
+      }
+
+      lastFrameTimeRef.current[frame.channel] = Date.now();
+    };
+
+    // Periodic channel stall check: if any channel has buffered frames
+    // but no progress for 5s, force a snapshot refetch.
+    let stallTimer: ReturnType<typeof setInterval> | null = null;
+
+    const startStallTimer = () => {
+      stallTimer = setInterval(() => {
+        const now = Date.now();
+        for (const [channel, buffer] of channelBuffersRef.current) {
+          if (buffer.bufferedCount === 0) continue;
+          const lastTime = lastFrameTimeRef.current[channel as Channel] ?? 0;
+          if (now - lastTime >= CHANNEL_STALL_MS) {
+            buffer.reset();
+            sessionEvents.emit({ type: 'refetch_messages' });
+          }
+        }
+      }, 1000);
+    };
+
     const connect = () => {
       if (unmounted) return;
       const proto = window.location.protocol === 'https:' ? 'wss' : 'ws';
@@ -242,13 +436,16 @@ export function useSessionStream(sessionId: string | undefined) {
       ws.onopen = () => {
         reconnectDelay = RECONNECT_INITIAL_MS;
         setState((s) => ({ ...s, connected: true, error: null }));
+
+        // Mid-stream reconnection protocol: send last known seq per channel
+        // so the server can replay deltas or fall back to a full snapshot.
+        const lastSeq = getLastSeqPerChannel();
+        ws.send(JSON.stringify({ type: 'reconnect', lastSeqPerChannel: lastSeq }));
+
+        startStallTimer();
       };
+
       ws.onmessage = (ev) => {
-        // v1.13.11-a: Zod-validate every inbound frame. Fail-closed — invalid
-        // frames are logged and dropped. WsFrameSchema is the runtime guard;
-        // the hand-maintained WsFrame type stays as the narrowed dev-time
-        // shape (Zod uses OpaqueObject for nested types like Message[]). One
-        // cast bridges the two.
         let raw: unknown;
         try {
           raw = JSON.parse(typeof ev.data === 'string' ? ev.data : '');
@@ -266,13 +463,14 @@ export function useSessionStream(sessionId: string | undefined) {
         }
         try {
           const frame = validated.data as unknown as WsFrame;
-          // v1.11: on a compaction completion, re-fetch the message list so
+
-          // the new summary row + the cohort of compacted_at-stamped older
+          if (frame.type === 'channel_delta') {
-          // rows render correctly. We dispatch the fresh list as a synthetic
+            console.error('RAW_PARSE', JSON.stringify(validated.data).slice(0, 200));
-          // 'snapshot' frame so the reducer's existing path handles state
+            console.error('CD', frame.channel, frame.seq, JSON.stringify(frame).slice(0, 80));
-          // replacement (no need for a parallel "refetched" path).
+            handleChannelDelta(frame);
-          // The toast is purely UX feedback; missing it would still leave
+            return;
-          // the chat in a valid state.
+          }
+
           if (frame.type === 'compacted') {
             toast.success('Context compacted to free space');
             void api.messages
@@ -285,8 +483,9 @@ export function useSessionStream(sessionId: string | undefined) {
               });
             return;
           }
+
           setState((s) => applyFrame(s, frame));
-          // Trigger git diff refresh after each completed assistant turn.
+
           if (frame.type === 'message_complete') {
             sessionEvents.emit({ type: 'git_diff_refresh' });
           }
@@ -294,15 +493,18 @@ export function useSessionStream(sessionId: string | undefined) {
           console.warn('bad ws frame', err);
         }
       };
-      // v1.8.1: WS errors no longer surface as user-facing toasts here. The
+
-      // user-channel hook (useUserEvents) owns the debounced "reconnecting…"
-      // UI; this channel just reconnects silently on the same backoff.
       ws.onerror = () => {
         try { ws.close(); } catch {}
       };
+
       ws.onclose = () => {
         if (unmounted) return;
         setState((s) => ({ ...s, connected: false }));
+        if (stallTimer) {
+          clearInterval(stallTimer);
+          stallTimer = null;
+        }
         const delay = reconnectDelay;
         reconnectDelay = Math.min(reconnectDelay * 2, RECONNECT_MAX_MS);
         reconnectTimer = setTimeout(connect, delay);
@@ -314,6 +516,7 @@ export function useSessionStream(sessionId: string | undefined) {
     return () => {
       unmounted = true;
       if (reconnectTimer) clearTimeout(reconnectTimer);
+      if (stallTimer) clearInterval(stallTimer);
       const ws = wsRef.current;
       wsRef.current = null;
       if (ws) try { ws.close(); } catch {}

codecontext/Dockerfile

@@ -1,44 +0,0 @@
-# v2.8 — boocontext sidecar container.
-# Multi-stage build: Go shim from golang:1.24-alpine, boocontext MCP aggregator
-# from node:20-alpine, then an alpine:3.20 runtime holding both.
-#
-# The shim spawns boocontext as a child MCP process over stdio NDJSON,
-# translating HTTP requests to MCP tools/call.
-#
-# To stage the fork source for a Docker build:
-#   tar -czf codecontext/fork.tar.gz -C /opt/forks/boocontext \
-#     --exclude=.git --exclude=node_modules --exclude=dist
-
-# Stage 1: Go shim builder
-FROM golang:1.24-alpine AS shim-builder
-WORKDIR /build/shim
-RUN apk add --no-cache ca-certificates
-COPY go.mod ./
-COPY shim.go ./
-RUN CGO_ENABLED=0 GOOS=linux go build -o /build/shim-bin ./
-
-# Stage 2: boocontext MCP builder (pnpm project)
-FROM node:20-alpine AS boocontext-builder
-WORKDIR /build/boocontext
-RUN apk add --no-cache git python3 make g++ ca-certificates
-RUN npm install -g pnpm@9 --silent
-COPY fork.tar.gz /build/fork.tar.gz
-RUN mkdir -p /build/boocontext && tar -xzf /build/fork.tar.gz -C /build/boocontext
-WORKDIR /build/boocontext
-RUN pnpm install --frozen-lockfile && pnpm run build
-
-# Stage 3: Runtime
-FROM alpine:3.20
-# uv intentionally not installed — container network blocks astral.sh.
-# tree-sitter-analyzer child server (uvx) won't start in-container, but
-# boocontext logs a graceful warning; TSA-backed tools fall through.
-RUN apk add --no-cache ca-certificates nodejs
-COPY --from=shim-builder /build/shim-bin /usr/local/bin/shim
-COPY --from=boocontext-builder /build/boocontext/dist /usr/local/lib/boocontext/dist
-COPY --from=boocontext-builder /build/boocontext/node_modules /usr/local/lib/boocontext/node_modules
-COPY --from=boocontext-builder /build/boocontext/package.json /usr/local/lib/boocontext/package.json
-
-EXPOSE 8080
-HEALTHCHECK --interval=30s --timeout=5s --start-period=30s \
-  CMD wget -qO- http://localhost:8080/health || exit 1
-ENTRYPOINT ["/usr/local/bin/shim"]

codecontext/README.md

@@ -0,0 +1,31 @@
+# codecontext — Go sidecar (DEPRECATED)
+
+> **Deprecated** (Phase 4, Domain 2, v2.8.14).
+>
+> Superseded by the **boocontext MCP server** (`apps/coder`). Do not add new
+> callers. The 16 codecontext tool wrappers still use this sidecar via HTTP at
+> `http://codecontext:8080/v1/{toolName}` for backward compatibility.
+
+## Migration path
+
+1. Existing tool wrappers in `apps/server/src/services/tools/codecontext/` route
+   through `callCodecontext()` in `codecontext_client.ts`, which calls this
+   Go sidecar over HTTP.
+2. New callers should use the boocontext MCP server instead (reachable via the
+   `boocontext` tool wrappers).
+3. After all callers have migrated, remove this directory, the `codecontext`
+   service block from `docker-compose.yml`, and the
+   `codecontext_client.ts`/`factory.ts` files.
+
+## What it does
+
+A Go HTTP shim wrapping the boocontext MCP server's stdio interface. Provides
+code-graph analysis (symbols, callers, callees, file overview, etc.) over a
+REST API at `/v1/{toolName}`.
+
+## Files
+
+- `shim.go` — HTTP server that wraps the boocontext MCP stdio process
+- `Dockerfile` — container build
+- `fork.tar.gz` — vendored boocontext source (gitignored)
+- `.codecontextignore.template` — default ignore patterns deployed per project

data/AGENTS.md

@@ -6,7 +6,7 @@ Operating rules for every agent in this registry. Full procedures live in the `c
 
 **Worktrees** — Isolate work in a worktree when it is parallel to in-progress work, risky/experimental, a hotfix interrupting other work, or splits into independent units — just create when clear, propose in one line when ambiguous, skip quick/small single-stream work. Branch from a stable base (default branch); worktrees persist (never auto-remove or auto-merge); they isolate code state, not runtime (ports/DBs/services still collide). Full heuristic: invoke `using-worktrees`.
 
-**Sampling knobs** — Each `## Name` frontmatter block accepts these per-agent sampler fields, threaded into the llama-swap chat-completion request: `temperature`, `top_p`, `top_k`, `min_p`, `presence_penalty`, and (v2.6) `top_n_sigma`, `dry_multiplier`, `dry_base`, `dry_allowed_length`, `dry_penalty_last_n`. The `top_n_sigma` + `dry_*` repetition family curb the doom-loop-prone local model. Omit a field to leave it at the server default. Example: `top_n_sigma: 1.0`, `dry_multiplier: 0.8`, `dry_base: 1.75`, `dry_allowed_length: 2`, `dry_penalty_last_n: -1` (-1 = whole context).
+**Sampling knobs** — Each `## Name` frontmatter block accepts these per-agent sampler fields, threaded into the llama-swap chat-completion request: `temperature`, `top_p`, `top_k`, `min_p`, `presence_penalty`, and (v2.6) `top_n_sigma`, `dry_multiplier`, `dry_base`, `dry_allowed_length`, `dry_penalty_last_n`. The `top_n_sigma` + `dry_*` repetition family curb the doom-loop-prone local model. Omit a field to leave it at the server default. Example: `top_n_sigma: 1.0`, `dry_multiplier: 0.8`, `dry_base: 1.75`, `dry_allowed_length: 2`, `dry_penalty_last_n: -1` (-1 = whole context). DeepSeek V4 models also accept `reasoning_effort` (low/medium/high/xhigh/max); omit to disable thinking mode. Example: `reasoning_effort: 'high'`.
 
 **Reasoning budget** — To cap a reasoning model's thinking tokens, pass `--reasoning-budget` through `llama_extra_args` (already permitted by the deny-list validator; routes the agent to llama-sidecar). Example frontmatter line: `llama_extra_args: ["--reasoning-budget", "2048"]`. This is a sidecar process flag, not a chat-completion body param — distinct from the sampling knobs above.
 

docker-compose.yml

@@ -7,7 +7,6 @@ services:
       - "100.114.205.53:9500:3000"
     env_file: .env
     environment:
-      CODECONTEXT_URL: http://codecontext:8080
       CONTAINER_GUIDANCE_FILE: /app/BOOCHAT.md
       DATABASE_URL: postgres://boocode:${POSTGRES_PASSWORD}@boocode_db:5432/boochat
       BOOCODER_URL: http://100.114.205.53:9502
@@ -91,41 +90,6 @@ services:
     networks:
       - boocode_net
 
-  # v1.12 Track B: codecontext sidecar. Stdio MCP server wrapped by a small
-  # HTTP shim (see ./codecontext/). No host port — reached from boocode at
-  # http://codecontext:8080 over the boocode_net bridge.
-  #
-  # Mounts /opt:/opt:ro (not just /opt/projects:ro): BooCode projects live
-  # at /opt/<slug> on the host, not exclusively under /opt/projects. The
-  # mount must cover anywhere a project.path could resolve to. Read-only
-  # because codecontext only analyzes — never writes. The model can't
-  # arbitrarily set target_dir to a sensitive subtree because the B.2
-  # wrappers validate target_dir against project.path before calling the
-  # shim, and the shim isn't reachable from outside boocode_net.
-  codecontext:
-    build:
-      context: ./codecontext
-    container_name: boocode_codecontext
-    ports:
-      - "127.0.0.1:8080:8080"
-    restart: unless-stopped
-    environment:
-      CODECONTEXT_CHILD: node /usr/local/lib/boocontext/dist/index.js --mcp
-      TYPE_INJECT_MCP_PATH: /opt/type-inject/packages/mcp/dist/index.js
-      TREE_SITTER_MCP_CMD: uvx
-      TREE_SITTER_MCP_ARGS: --from tree-sitter-analyzer[mcp] tree-sitter-analyzer-mcp
-    networks:
-      - boocode_net
-    volumes:
-      - /opt:/opt:ro
-      - /opt/forks:/opt/forks:ro
-    healthcheck:
-      test: ["CMD-SHELL", "wget -qO- http://localhost:8080/health || exit 1"]
-      interval: 30s
-      timeout: 5s
-      retries: 3
-      start_period: 30s
-
 volumes:
   boocode_pgdata:
 

openspec/changes/paseo-orchestrator/proposal.md

@@ -0,0 +1,107 @@
+# Paseo-like Orchestrator — Trace Observability, Dynamic Workflows & Agent Runtime
+
+**Status:** Proposed
+**Epic:** paseo-orchestrator
+**Depends on:** v2.7.17-orchestrator
+
+## Why
+
+BooCode's Orchestrator (v2.7.17) runs deterministic Han analysis flows — but it's a fixed pipeline, not a general-purpose agent runtime. Every tool call is opaque: no timing, no cost breakdown, no replay. Sessions evaporate on browser refresh. Workflows are hardcoded. Subagents block until completion. And there's zero visibility into cache efficiency on DeepSeek — despite prompt caching being a major cost lever.
+
+The current architecture treats the LLM as a black box and the agent as a one-shot transaction. To move from "read-only chat" to a **Paseo-style thin-client orchestration layer**, BooCode needs five capabilities that compound on each other:
+
+1. **Observability** — Every tool call timed, logged, and live-streamed. Without it, debugging agent behavior is guesswork.
+2. **Persistence** — Agent state survives browser refresh. Active sessions resume where they left off.
+3. **Dynamic Workflows** — User-authored JS scripts using `agent()`, `parallel()`, `pipeline()` instead of hardcoded flows. Hash-based caching skips completed steps on re-run.
+4. **Background Subagents** — `spawn_subagent` returns immediately, results collected later. Unlocks parallel research, long-running analyses, and notification-based workflows.
+5. **Multi-modal + Cache Shape** — Image attachments forwarded to DeepSeek's vision API, plus per-turn cache hit rate visualization to close the cost feedback loop.
+
+Each phase is independently valuable; together they transform BooCode from a chat UI into a durable agent execution platform.
+
+## What Changes
+
+### Phase 1: Trace System + Observability (3-4 days)
+
+1. **Create `tool_traces` DB table** — id, session_id, chat_id, turn_number, tool_name, input, output, started_at, finished_at, latency_ms, tokens_used, cache_tokens, reasoning_tokens, error, outcome. Applied idempotently via `applySchema()`.
+
+2. **Add `tool_trace` WS frame** — new WsFrame variant in `@boocode/contracts` published by the server when a tool call starts and completes. Frontend receives live timing deltas via `useSessionStream`.
+
+3. **Instrument `tool-phase.ts`** — wrap `executeToolCall` with `clock_timestamp()` start/end, extract token counts from LLM response metadata, publish `tool_trace` frames on start (with input) and finish (with output + metrics).
+
+4. **Add GET `/api/chats/:id/traces`** — paginated endpoint returning trace rows ordered by turn_number + started_at. Supports cursor-based pagination for large sessions.
+
+5. **Build trace viewer pane** — collapsible tree per turn, timing bars showing latency relative to turn duration, expand/collapse per tool call showing input/output. Integrates into the existing multi-pane workspace alongside chat, coder, and orchestrator panes.
+
+### Phase 2: Session Persistence + Resume (2-3 days)
+
+6. **Serialize agent state to DB** — on each turn boundary (before and after tool call loop), snapshot the active `AgentSession` state (provider config, turn history, pending tool calls) to a JSONB column in `agent_sessions`. Uses `clock_timestamp()` for ordering.
+
+7. **Restore on WS reconnect** — when `snapshot` frame arrives on reconnection, check for a persisted `AgentSession` in `in_progress` or `awaiting_input` state. Rehydrate the coder pane to match the persisted turn, tool call, and pending state.
+
+8. **Agent session timeline view** — a timeline component in the coder pane showing the history of all turns in the current agent session. Each turn shows start time, tool count, token usage, cache hit rate. Clicking a turn scrolls to that point in the conversation.
+
+### Phase 3: Dynamic Workflow Engine (5-7 days)
+
+9. **Create `isolated-vm` sandbox** — restricted JS execution environment for workflow scripts. No `require`, `fs`, `net`, `child_process`. Only the workflow API surface exposed. Token budget enforcement kills runaway scripts.
+
+10. **Implement workflow API primitives** — `agent(id, { prompt, model, tools, budget })` defines a sub-agent; `parallel([agent1, agent2])` runs N agents concurrently with a shared token budget; `pipeline([step1, step2])` chains agents sequentially; `phase(name, { agents, budget })` groups agents under a named phase; `budget(limit)` sets token or step limits; `log(msg)` emits structured workflow log. Compatible with Claude Code workflow script format.
+
+11. **Workflow file discovery** — scan `.boocode/workflows/*.js` (project-local), `~/.boocode/workflows/*.js` (global), and a built-in catalog directory. Each file exports a `workflow` object with `{name, description, run}`. Discovery runs on server start and on file change (optional watch mode).
+
+12. **Workflow manager + built-in catalog** — `WorkflowManager` class with `list()`, `get(name)`, `run(workflow, args)`, `cancel(runId)`, `status(runId)`. Concurrency limits (configurable max concurrent runs), token budgets per run. Built-in catalog includes: `deep-research` (parallel source search → per-source analysis → synthesis), `multi-review` (code health + security + standards reviews in parallel), `plan-verify` (generate plan → verify plan → generate tasks), `bounty-hunt` (parallel vulnerability scanning with different focuses).
+
+13. **Workflow resumability** — SHA-256 hash of each agent spec (prompt + options). Before executing an agent, check if a completed result exists with the same hash. Skip cached agents, only execute new/changed ones. In-memory LRU cache for current session, optional DB persistence for cross-session reuse.
+
+14. **Workflow UI integration** — extend the existing Orchestrator panel (used for Han flows) to support dynamic workflows. Workflow selector dropdown, live run pane with step-by-step progress, cancel button, log output stream, per-agent timing. Reuses the same run-pane component pattern.
+
+### Phase 4: Background Subagents (2-3 days)
+
+15. **Background task queue** — uses the existing `tasks` table with a new `background` type. `spawn_subagent` tool creates a task row and returns immediately. A background worker picks up the task and executes it without blocking the calling agent.
+
+16. **`subagent_status` + `subagent_result` tools** — `subagent_status(task_id)` returns `running|completed|failed` with optional progress info. `subagent_result(task_id)` returns the full output when completed. Polling-based (no WS push for background tasks initially).
+
+17. **Background agent pane** — new pane type showing running/completed background agents. Each entry shows name, status, duration, progress. Completed entries show a "View Result" action. Notifications hook into the existing notification system (toast on completion, badge count for active tasks).
+
+### Phase 5: Multi-modal + Cache Shape (2-3 days)
+
+18. **Image/file attachment pipeline** — accept file uploads (drag-drop or file picker), store on tmpfs with a reference in the message row. Forward to DeepSeek's multimodal API as base64-encoded image parts. Size limit enforcement (configurable, default 20MB per attachment).
+
+19. **Image render in message bubble** — render attached images inline in the chat message bubble. Lightbox on click for expanded view. Thumbnail generation for large images to keep chat scrolling performant.
+
+20. **Cache shape telemetry** — extract `prompt_cache_hit_tokens` from DeepSeek provider metadata on each turn. Break down by segment: system prompt, tool schemas, conversation history. Store in `tool_traces` columns and/or a dedicated `cache_stats` table.
+
+21. **Cache hit rate visualization** — per-turn cache hit bar in the trace viewer (showing cached vs non-cached tokens). Cumulative cache hit rate in the session footer. Highlight when a turn achieves high cache reuse (green indicator) or unusually low (yellow/red).
+
+## Non-Goals
+- No changes to the existing Han flow orchestrator (runs alongside dynamic workflows)
+- No removal of existing agent dispatch paths (PTY, ACP, Claude SDK — dynamic workflows are additive)
+- No distributed execution (all orchestration is single-node)
+- No persistent workflow file watching (manual reload or server restart to pick up new workflows)
+- No workflow editing UI (workflows are authored as JS files)
+
+## Capabilities
+
+### New Capabilities
+- **Tool trace viewer** — every tool call with timing, token costs, cache breakdown, expandable input/output
+- **Agent session resume** — browser refresh preserves active agent state
+- **Dynamic workflows** — user-authored JS scripts with `agent()/parallel()/pipeline()` API
+- **Workflow resumability** — hash-based step caching skips completed agents on re-run
+- **Built-in workflow catalog** — deep-research, multi-review, plan-verify, bounty-hunt
+- **Background subagents** — non-blocking spawn with deferred result collection
+- **Multi-modal support** — image attachments forwarded to DeepSeek vision API
+- **Cache shape telemetry** — per-turn and cumulative cache hit rate visualization
+
+### Modified Capabilities
+- **Orchestrator panel** — extended from fixed Han flows to dynamic workflow selection and streaming run pane
+- **tool-phase.ts** — instrumented with start/end timing and trace publishing
+- **WsFrame contract** — new `tool_trace` frame variant
+- **tasks table** — extended with `background` type for async subagent execution
+
+## Metrics
+- Tool call observability: 0% → 100% of calls traced with timing
+- Session continuity: lost on refresh → preserved on reconnect
+- Workflow authoring: hardcoded → user-authored JS scripts
+- Workflow re-run efficiency: 0% cache → hash-based step reuse
+- Background execution: blocking only → blocking + non-blocking
+- Cache visibility: 0% → per-turn + cumulative hit rate
+- Multi-modal: text-only → text + image attachments

openspec/changes/paseo-orchestrator/tasks.md

@@ -0,0 +1,230 @@
+# Tasks — Paseo-like Orchestrator
+
+## Phase 1: Trace System + Observability (5 tasks)
+
+### 1. Create tool_traces DB table + migration
+Add `tool_traces` table to `apps/server/src/schema.sql`:
+- Columns: id (UUID PK), session_id (UUID FK → sessions), chat_id (UUID FK → chats), turn_number (int), tool_name (text), input (jsonb), output (jsonb), started_at (timestamptz), finished_at (timestamptz), latency_ms (int), tokens_used (int), cache_tokens (int), reasoning_tokens (int), error (text), outcome (text)
+- Index on (chat_id, turn_number, started_at) for trace queries
+- Index on (session_id) for session-level aggregation
+- Applied idempotently via `applySchema()` — wrap in `CREATE TABLE IF NOT EXISTS`
+**Verification**: `psql` shows `tool_traces` table with all columns and indexes. Schema re-run is no-op.
+
+### 2. Add tool_trace WS frame + contracts schema
+Add `tool_trace` frame to `WsFrameSchema` in `packages/contracts/src/ws-frames.ts`:
+- Frame types: `tool_trace:start` (tool_name, input, started_at) and `tool_trace:complete` (tool_name, output, latency_ms, tokens_used, cache_tokens, reasoning_tokens, error)
+- Add to `InferenceFrame` loose union in `apps/server/src/services/inference/turn.ts`
+- Add to strict `WsFrame` discriminated union in `apps/web/src/api/types.ts`
+- Rebuild contracts: `pnpm -C packages/contracts build`
+**Verification**: tsc --noEmit passes. WS client receives `tool_trace:start` and `tool_trace:complete` frames.
+
+### 3. Instrument tool-phase.ts with start/end timing
+Update `apps/server/src/services/tools/tool-phase.ts`:
+- Before `executeToolCall`: record `clock_timestamp()` as start, publish `tool_trace:start` frame with tool_name and input
+- After `executeToolCall`: record `clock_timestamp()` as finish, compute latency_ms, extract token counts from response metadata, INSERT into `tool_traces` table, publish `tool_trace:complete` frame
+- Handle errors: on thrown error, publish `tool_trace:complete` with error field set, set outcome='error'; on success, outcome='success'
+- Use `sql.json(input as never)` for JSONB columns — no double-serialization
+**Verification**: Every tool call produces a `tool_traces` row with correct latency_ms and outcome. WS client receives both start and complete frames.
+
+### 4. Add GET /api/chats/:id/traces endpoint
+Create `apps/server/src/routes/traces.ts`:
+- `GET /api/chats/:id/traces` — paginated, ordered by (turn_number, started_at)
+- Query params: `cursor` (opaque cursor for keyset pagination), `limit` (default 50, max 200), `turn_number` (optional filter to single turn)
+- Returns `{traces: Trace[], next_cursor: string | null}`
+- Register in Fastify router with `chatOwnershipPreHandler` guard
+**Verification**: `curl /api/chats/:id/traces` returns paginated trace rows. Turn filter returns only matching traces.
+
+### 5. Build trace viewer frontend component
+Create `apps/web/src/components/TraceViewer.tsx` (and supporting files):
+- Collapsible tree grouped by turn_number
+- Per tool call row: tool_name badge, latency bar (relative bar width, color-coded: green <1s, yellow <5s, red ≥5s), token count, expand/collapse chevron
+- Expanded view: tool input (JSON formatted), tool output (JSON formatted), error message if any
+- Fetch traces from `/api/chats/:id/traces` on pane mount, paginate on scroll
+- Integrate as a new pane option in the multi-pane workspace (existing pane registry)
+**Verification**: Trace viewer loads, groups by turn, shows timing bars, expands/collapses tool calls. Pagination works for sessions with 50+ traces.
+
+## Phase 2: Session Persistence + Resume (3 tasks)
+
+### 6. Serialize agent state to DB on turn boundaries
+Modify `apps/coder` agent dispatch:
+- On each turn boundary (after LLM response, before next tool call loop), serialize `AgentSession` state to `agent_sessions` table
+- Persist: provider config, turn history, pending tool calls, current phase, token budget remaining
+- Use JSONB column for the snapshot state, `clock_timestamp()` for last_update
+- Guard against rapid consecutive saves (debounce 200ms)
+**Verification**: Agent session state is written to `agent_sessions` after each LLM turn. JSONB snapshot contains all fields needed for resume.
+
+### 7. Restore state on WS reconnect
+Update `apps/server/src/services/ws.ts`:
+- On `snapshot` frame from a reconnecting client, check for `AgentSession` in `in_progress` or `awaiting_input` state
+- If found, rehydrate the coder pane: restore provider config, replay pending tool calls, set turn history
+- Publish a `session_restored` frame with the restored state metadata
+- Client-side: `useSessionStream` handles `session_restored` by resetting pane state to match
+**Verification**: Refresh browser mid-agent-session → after reconnect, the coder pane shows the same turn state, pending tool calls, and conversation history.
+
+### 8. Agent session timeline view
+Add timeline component to the coder pane:
+- Horizontal timeline showing all turns in the current agent session
+- Each turn entry: turn number, start time, tool call count, token usage, cache hit rate
+- Active turn highlighted, past turns dimmed
+- Clicking a past turn scrolls the conversation to that turn and collapses later turns
+- Fetch turn metadata from existing session data (no new endpoint needed)
+**Verification**: Timeline shows all turns. Clicking a turn scrolls to it. Active turn is highlighted.
+
+## Phase 3: Dynamic Workflow Engine (6 tasks)
+
+### 9. Create isolated-vm workflow sandbox
+Create `apps/server/src/services/workflow/sandbox.ts`:
+- Use `isolated-vm` npm package to create a V8 isolate for each workflow run
+- No `require`, `fs`, `net`, `child_process` accessible in the sandbox
+- Expose only the workflow API surface (`agent`, `parallel`, `pipeline`, `phase`, `budget`, `log`, `args`)
+- Token budget enforcement: inject a step counter, throw when budget exceeded
+- Timeout: 30s default, configurable per workflow
+- Error boundary: caught exceptions produce structured error results instead of crashing the worker
+- Add `isolated-vm` to `apps/server/package.json` dependencies
+**Verification**: Workflow script that calls `agent()` runs without error. Script trying `require('fs')` throws a sandbox violation. Run exceeding budget is killed with a clear message.
+
+### 10. Implement agent/parallel/pipeline primitives
+Create `apps/server/src/services/workflow/api.ts`:
+- `agent(id, { prompt, model?, tools?, budget? })` — registers a sub-agent. Returns an object with `.run(input)` that dispatches the agent through the existing agent dispatch system and returns result.
+- `parallel([agents], { budget? })` — runs all agents concurrently. Returns when all complete (or any fails). Shared token budget across parallel agents. Uses `Promise.allSettled` for resilience.
+- `pipeline([steps], { budget? })` — runs steps sequentially. Each step receives the previous step's output. Steps can be `agent()` results or inline functions.
+- `phase(name, { agents, budget })` — groups agents under a named phase. Phases can have their own budget. Results are namespaced by phase name.
+- `budget(limit)` — sets token or step limits. Returns a budget object consumed by agent/parallel/pipeline.
+- `log(msg)` — emits a structured log entry tagged with current phase/agent context. Published as WS frame to the Orchestrator pane.
+- `args` — the input arguments passed to `workflow.run(args)`.
+**Verification**: A test workflow using `agent()`, `parallel()`, and `pipeline()` executes correctly. Logs appear in the output stream. Token budgets are enforced.
+
+### 11. Workflow file discovery system
+Create `apps/server/src/services/workflow/discovery.ts`:
+- Scan `.boocode/workflows/*.js` (project root, relative to `PROJECT_ROOT_WHITELIST`)
+- Scan `~/.boocode/workflows/*.js` (global, `os.homedir()`)
+- Scan `data/workflows/` (built-in catalog)
+- Each file must export a `workflow` object: `{name, description, run(args) => {...}}`
+- Validate the workflow object at discovery time: required fields, run must be a function
+- On server start, run full discovery. Cache results in a `Map<name, Workflow>`.
+- Log discovered workflows with name + description at `info` level
+**Verification**: Placing a valid `.boocode/workflows/test.js` file makes the workflow appear in `WorkflowManager.list()`. Invalid workflow files are logged as warnings and skipped.
+
+### 12. Workflow manager + built-in catalog
+Create `apps/server/src/services/workflow/manager.ts`:
+- `WorkflowManager` singleton class:
+  - `list()` — returns all discovered workflows with name, description, and arg schema
+  - `get(name)` — returns a workflow by name
+  - `run(workflow, args)` — creates a sandbox, injects args, executes `workflow.run()`. Returns a runId (UUID).
+  - `cancel(runId)` — terminates the sandbox, marks run as cancelled
+  - `status(runId)` — returns run status: `pending|running|completed|failed|cancelled`, with progress info
+- Concurrency limit: configurable via `WORKFLOW_MAX_CONCURRENT` env var (default 3)
+- Token budget: configurable via `WORKFLOW_DEFAULT_BUDGET` env var (default 100_000 tokens)
+- Run state tracked in-memory with optional DB persistence
+
+Built-in workflows in `data/workflows/`:
+- `deep-research` — parallel source search → per-source analysis → synthesis report
+- `multi-review` — run code health + security + standards reviews in parallel, merge findings
+- `plan-verify` — generate implementation plan → verify plan → generate work items
+- `bounty-hunt` — parallel vulnerability scans with different focus areas (injection, auth, crypto, business logic)
+**Verification**: `list()` returns built-in workflows. `run()` executes a workflow and returns runId. `status()` reflects progress. `cancel()` stops execution cleanly.
+
+### 13. Workflow resumability (hash-based cache)
+Create `apps/server/src/services/workflow/cache.ts`:
+- Compute SHA-256 hash of each agent spec: `crypto.createHash('sha256').update(JSON.stringify({prompt, options})).digest('hex')`
+- Before executing an agent, check in-memory LRU cache for existing result matching the hash
+- Hit: return cached result, emit `log('cached', agentId, hash)` — no actual dispatch
+- Miss: execute agent, store result in cache keyed by hash
+- LRU eviction: `WORKFLOW_CACHE_SIZE` env var (default 100 entries)
+- Optional DB persistence: `workflow_cache` table with `hash`, `result`, `created_at` — cross-session reuse
+- Re-run detection: identical workflow with same args → all agents skipped
+- Partial re-run: changed args → only changed agents re-execute, unchanged ones read from cache
+**Verification**: First run of a workflow executes all agents. Second run with identical args skips all agents (logs show 'cached'). Run with modified args for one agent only re-executes that agent.
+
+### 14. Workflow UI integration with Orchestrator panel
+Extend `apps/web/src/components/Orchestrator/`:
+- Add workflow selector dropdown listing workflows from `WorkflowManager.list()`
+- Add "Run Workflow" button that opens workflow args editor (JSON or form)
+- Extend existing run pane to show workflow steps with per-agent progress
+- Live log stream from workflow `log()` calls, displayed in a scrollable log view
+- Cancel button for running workflows
+- Resumability indicator: "3/5 steps cached — skipping" when hash cache hits
+- Fetch workflow list via new API endpoint or WS message (add `GET /api/orchestrator/workflows`)
+**Verification**: Workflow selector lists built-in workflows. Running a workflow shows step-by-step progress in the run pane. Cancelling a running workflow works. Cached steps show "skipped" indicator.
+
+## Phase 4: Background Subagents (3 tasks)
+
+### 15. Background task queue + spawn_subagent tool
+Modify `apps/coder/` and `apps/server/`:
+- Extend `tasks` table usage with a new task type marker for background subagent tasks
+- Create `spawn_subagent` tool in `apps/server/src/services/tools/`:
+  - Schema: `{prompt, model?, tools?, budget?, metadata?}`
+  - Creates a `tasks` row with state=`pending`, type=`background_subagent`
+  - Returns `{task_id, status: 'pending'}` immediately — does NOT block
+- Background worker loop: polls `tasks` table for `background_subagent` tasks in `pending` state, picks one up, executes it via existing agent dispatch, writes result back to tasks row on completion
+- Max concurrency: `BACKGROUND_MAX_CONCURRENT` env var (default 2)
+- Worker polls interval: 1s (configurable)
+**Verification**: Calling `spawn_subagent` returns immediately with a task_id. The task eventually completes with a result in the tasks table. Multiple background tasks run concurrently up to the concurrency limit.
+
+### 16. subagent_status + subagent_result tools
+Create two tools in `apps/server/src/services/tools/`:
+- `subagent_status(task_id)`:
+  - Schema: `{task_id}`
+  - Returns: `{task_id, status: 'pending'|'running'|'completed'|'failed', progress?: string, started_at?, finished_at?}`
+  - Queries `tasks` table for the status
+- `subagent_result(task_id)`:
+  - Schema: `{task_id}`
+  - Returns: `{task_id, status, result?: json, error?: string}`
+  - Only returns result when status='completed'; returns empty result otherwise with a message
+  - Updates task state to `read` on successful result retrieval (optional)
+**Verification**: Calling `subagent_status` on a running task returns 'running'. Calling `subagent_result` on a completed task returns the full result. Calling `subagent_result` on a pending task returns a clear "not ready yet" message.
+
+### 17. Background agent pane
+Create `apps/web/src/components/BackgroundAgentPane.tsx`:
+- New pane type showing running, completed, and failed background subagents
+- Each entry: agent name/description, status badge, duration (elapsed or total), progress indicator
+- Running entries: progress bar (if available), cancel button
+- Completed entries: "View Result" action that opens a modal or inline view with the full output
+- Failed entries: error message, "Retry" action
+- Badge counter on pane tab showing number of running tasks
+- Poll status every 2s for running entries, stop polling on completion
+- Register in pane registry alongside existing pane types
+**Verification**: Background pane shows spawning tasks as "pending", transitioning to "running", then "completed"/"failed". "View Result" shows the full output. Badge counter reflects active running tasks.
+
+## Phase 5: Multi-modal + Cache Shape (4 tasks)
+
+### 18. Multi-modal attachment pipeline
+Add file upload support:
+- Accept file uploads via drag-drop or file picker in the message input area
+- Store uploaded files on tmpfs (`/tmp/boocode-uploads/` by default, configurable via `UPLOAD_DIR`)
+- Reference attachments in message row via `message_parts` with `type='image'` and a `url` pointing to the tmpfs path
+- Forward to DeepSeek API: encode image as base64 data URI, send as multimodal content part in the user message
+- Supported formats: png, jpg, jpeg, gif, webp
+- Size limit: 20MB default, configurable via `MAX_ATTACHMENT_SIZE_MB` env var
+- Server-side cleanup: delete tmpfs files after message is fully processed or on a periodic sweep
+**Verification**: Uploading an image creates a file on tmpfs and a referenced `message_parts` row. DeepSeek API call includes the image as a base64 content part. Error on files over size limit.
+
+### 19. Image render in message bubble
+Update message rendering in `apps/web/src/components/MessageBubble.tsx`:
+- Detect `message_parts` with `type='image'` in the message content
+- Render attached images inline in the chat bubble, below the text content
+- Thumbnail: max 300px wide, aspect-ratio preserved, rounded corners
+- Lightbox: clicking the thumbnail opens a full-size overlay with close button
+- Loading state: skeleton placeholder while image loads from tmpfs URL
+- Error state: broken image placeholder with retry option
+- Clean layout: images displayed in a grid (1-2 columns depending on count)
+**Verification**: Chat messages with image attachments render inline thumbnails. Clicking opens lightbox. Large images are thumbnailed. Broken images show error state.
+
+### 20. Cache shape telemetry data pipeline
+Extract and store cache metrics:
+- In the DeepSeek provider response handler, extract `prompt_cache_hit_tokens` and `prompt_cache_miss_tokens` from the API response metadata
+- Break down cache segments: system prompt tokens, tool schema tokens, conversation history tokens (approximate by measuring each segment length)
+- Store cache metrics in `tool_traces.cache_tokens` column (already created in Phase 1)
+- Optionally create a `cache_stats` table for per-segment breakdown: `{turn_id, segment_name, hit_tokens, miss_tokens}`
+- Expose via existing traces API (cache fields already part of the Trace schema)
+**Verification**: After a DeepSeek call, `tool_traces` row has `cache_tokens` populated. Cache segment breakdown is available when querying traces.
+
+### 21. Cache shape visualization in trace viewer
+Update the TraceViewer component with cache metrics:
+- Per-turn cache hit bar: horizontal stacked bar showing cached (green) vs non-cached (gray) tokens
+- Hit rate percentage displayed as a badge next to token count
+- Cumulative cache hit rate in the session footer: "Cache hit rate: 67% (45K/67K tokens)"
+- Color coding: green ≥60%, yellow 30-59%, red <30%
+- Tooltip on hover showing segment breakdown if available
+- Animate transitions when new trace data arrives
+**Verification**: Trace viewer shows cache hit/miss bars per turn. Cumulative rate in footer updates as new traces load. Color coding matches thresholds.

packages/contracts/src/ws-frames.ts

@@ -116,6 +116,8 @@ export const MessageCompleteFrame = z.object({
   tokens_used: z.number().int().nonnegative().nullable().optional(),
   ctx_used: z.number().int().nonnegative().nullable().optional(),
   ctx_max: z.number().int().positive().nullable().optional(),
+  cache_tokens: z.number().int().nonnegative().nullable().optional(),
+  reasoning_tokens: z.number().int().nonnegative().nullable().optional(),
   started_at: IsoTimestamp.nullable().optional(),
   finished_at: IsoTimestamp.nullable().optional(),
   // nullable: external-coder turns carry task.model, which is null when no
@@ -353,7 +355,7 @@ export const FlowRunStepUpdatedFrame = z.object({
   type: z.literal('flow_run_step_updated'),
   run_id: Uuid,
   step_id: z.string().min(1),
-  status: z.enum(['pending', 'running', 'completed', 'failed', 'skipped', 'cancelled']),
+  status: z.enum(['pending', 'running', 'completed', 'failed', 'skipped', 'cancelled', 'timed_out']),
   run_status: z.enum(['running', 'completed', 'failed', 'cancelled']).optional(),
   report: z.string().optional(),
 });
@@ -405,11 +407,141 @@ export const BattleUpdatedFrame = z.object({
   cross_exam_id: Uuid.optional(),
 });
 
+// ---- agent snapshot restore frame ------------------------------------------
+
+export const AgentSnapshotFrame = z.object({
+  type: z.literal('agent_snapshot'),
+  chat_id: z.string().uuid(),
+  agent: z.string().nullable().optional(),
+  model: z.string(),
+  mode: z.string().nullable().optional(),
+  turn_number: z.number().int().nonnegative(),
+});
+
+// ---- tool trace frames -----------------------------------------------------
+
+export const ToolTraceStartFrame = z.object({
+  type: z.literal('tool_trace_start'),
+  trace_id: z.string().uuid(),
+  message_id: z.string().uuid(),
+  chat_id: z.string().uuid(),
+  tool_name: z.string().min(1),
+  tool_input: z.record(z.unknown()),
+  started_at: z.string().datetime(),
+});
+
+export const ToolTraceFinishFrame = z.object({
+  type: z.literal('tool_trace_finish'),
+  trace_id: z.string().uuid(),
+  message_id: z.string().uuid(),
+  chat_id: z.string().uuid(),
+  tool_name: z.string().min(1),
+  tool_output: z.union([z.string(), z.null()]).optional(),
+  latency_ms: z.number().int().nonnegative().optional(),
+  tokens_used: z.number().int().nonnegative().nullable().optional(),
+  cache_tokens: z.number().int().nonnegative().nullable().optional(),
+  reasoning_tokens: z.number().int().nonnegative().nullable().optional(),
+  error: z.string().optional(),
+  outcome: z.string().optional(),
+  finished_at: z.string().datetime(),
+});
+
+// ---- collision warning frame (v2.8) ----------------------------------------
+//
+// Published when the BooCoder detects that multiple worktrees/agents are editing
+// the same file concurrently. Advisory only — writes are not blocked.
+
+const ConflictSeverityValue = z.enum(['same_line', 'adjacent_line', 'different_area']);
+
+export const CollisionWarningFrame = z.object({
+  type: z.literal('collision_warning'),
+  file_path: z.string().min(1),
+  worktrees: z.array(z.string().min(1)),
+  agents: z.array(z.string().min(1)),
+  severity: ConflictSeverityValue,
+});
+
+// ---- channel-delta frames (streaming v2) ----------------------------------
+//
+// Each channel frame carries a monotonic `seq` counter so the client can
+// reorder out-of-order deltas per-channel, detect gaps, and request replay on
+// reconnect. The `channel` discriminator tells the reducer which substate to
+// update.
+
+const TextChannelPayload = z.object({
+  message_id: Uuid,
+  chat_id: Uuid.optional(),
+  content: z.string(),
+});
+
+const ToolCallChannelPayload = z.object({
+  message_id: Uuid,
+  chat_id: Uuid.optional(),
+  tool_call: ToolCallShape,
+});
+
+const ToolResultChannelPayload = z.object({
+  tool_message_id: Uuid,
+  chat_id: Uuid.optional(),
+  tool_call_id: ToolCallId,
+  output: z.unknown(),
+  truncated: z.boolean(),
+  error: z.string().optional(),
+});
+
+const StatusChannelPayload = z.object({
+  message_id: Uuid,
+  chat_id: Uuid.optional(),
+  status: z.enum(['running', 'complete', 'cancelled', 'failed']).optional(),
+  tokens_used: z.number().int().nonnegative().nullable().optional(),
+  ctx_used: z.number().int().nonnegative().nullable().optional(),
+  ctx_max: z.number().int().positive().nullable().optional(),
+  cache_tokens: z.number().int().nonnegative().nullable().optional(),
+  reasoning_tokens: z.number().int().nonnegative().nullable().optional(),
+  started_at: IsoTimestamp.nullable().optional(),
+  finished_at: IsoTimestamp.nullable().optional(),
+  model: z.string().nullable().optional(),
+  metadata: OpaqueObject.nullable().optional(),
+});
+
+const ErrorChannelPayload = z.object({
+  message_id: Uuid.optional(),
+  chat_id: Uuid.optional(),
+  error: z.string(),
+  reason: ErrorReasonValue.optional(),
+});
+
+const ChannelDeltaPayload = z.discriminatedUnion('channel', [
+  z.object({ channel: z.literal('text'), ...TextChannelPayload.shape }),
+  z.object({ channel: z.literal('tool_call'), ...ToolCallChannelPayload.shape }),
+  z.object({ channel: z.literal('tool_result'), ...ToolResultChannelPayload.shape }),
+  z.object({ channel: z.literal('status'), ...StatusChannelPayload.shape }),
+  z.object({ channel: z.literal('error'), ...ErrorChannelPayload.shape }),
+]);
+
+export const ChannelDeltaFrame = z.object({
+  type: z.literal('channel_delta'),
+  seq: z.number().int().nonnegative(),
+  channel: z.union([
+    z.literal('text'), z.literal('tool_call'),
+    z.literal('tool_result'), z.literal('status'), z.literal('error'),
+  ]),
+  message_id: Uuid.optional(),
+  chat_id: Uuid.optional(),
+  content: z.string().optional(),
+  tool_call: ToolCallShape.optional(),
+  tool_message_id: Uuid.optional(),
+  tool_call_id: ToolCallId.optional(),
+  output: z.unknown().optional(),
+  truncated: z.boolean().optional(),
+});
+
 // ---- discriminated union ---------------------------------------------------
 
 export const WsFrameSchema = z.discriminatedUnion('type', [
   // per-session
   SnapshotFrame,
+  AgentSnapshotFrame,
   MessageStartedFrame,
   DeltaFrame,
   ReasoningDeltaFrame,
@@ -432,6 +564,13 @@ export const WsFrameSchema = z.discriminatedUnion('type', [
   BattleStartedFrame,
   ContestantUpdatedFrame,
   BattleUpdatedFrame,
+  // tool trace
+  ToolTraceStartFrame,
+  ToolTraceFinishFrame,
+  // collision warning
+  CollisionWarningFrame,
+  // channel-delta (streaming v2)
+  ChannelDeltaFrame,
   // per-user
   ChatStatusFrame,
   SessionUpdatedFrame,
@@ -459,6 +598,7 @@ export type WsFrame = z.infer<typeof WsFrameSchema>;
 // by the drift test in src/__tests__/ws-frames.test.ts.
 export const KNOWN_FRAME_TYPES: readonly WsFrame['type'][] = [
   'snapshot',
+  'agent_snapshot',
   'message_started',
   'delta',
   'reasoning_delta',
@@ -479,6 +619,10 @@ export const KNOWN_FRAME_TYPES: readonly WsFrame['type'][] = [
   'battle_started',
   'contestant_updated',
   'battle_updated',
+  'tool_trace_start',
+  'tool_trace_finish',
+  'collision_warning',
+  'channel_delta',
   'chat_status',
   'session_updated',
   'session_renamed',

pnpm-lock.yaml

@@ -97,6 +97,9 @@ importers:
 
   apps/server:
     dependencies:
+      '@ai-sdk/deepseek':
+        specifier: ^2.0.35
+        version: 2.0.35(zod@3.25.76)
       '@ai-sdk/openai-compatible':
         specifier: ^2.0.47
         version: 2.0.47(zod@3.25.76)
@@ -302,6 +305,12 @@ packages:
     peerDependencies:
       zod: ^3.25.0 || ^4.0.0
 
+  '@ai-sdk/deepseek@2.0.35':
+    resolution: {integrity: sha512-9DhYurbAvcurOEGN6u2myYDybrrzGfcrkG8hwmFjwTrePW6KCMggm0YxP7e8RkLYcQKqCEMgFlyEB4BM6EmiKg==}
+    engines: {node: '>=18'}
+    peerDependencies:
+      zod: ^3.25.76 || ^4.1.8
+
   '@ai-sdk/gateway@3.0.119':
     resolution: {integrity: sha512-VAhfRWC+JexZakkVfmjaJKaTj00x7/UHdE8kMWL3NhuQAlf8oXtg9r4dfvFZrByXxchGRBvYE3biEUyibkg0xg==}
     engines: {node: '>=18'}
@@ -4363,6 +4372,12 @@ snapshots:
     dependencies:
       zod: 3.25.76
 
+  '@ai-sdk/deepseek@2.0.35(zod@3.25.76)':
+    dependencies:
+      '@ai-sdk/provider': 3.0.10
+      '@ai-sdk/provider-utils': 4.0.27(zod@3.25.76)
+      zod: 3.25.76
+
   '@ai-sdk/gateway@3.0.119(zod@3.25.76)':
     dependencies:
       '@ai-sdk/provider': 3.0.10