feat(types): brand bash ids + stop brand erosion; extract Branded to dsh-brand

Type-only change (brands are zero-cost casts; no runtime/wire impact). Closes
the two gaps in the "brand ids that cross package boundaries" policy and fixes
the dependency direction so a capability package never pulls in an unrelated one.

- Extract the `Branded<B>` primitive into a new standalone type-only package
  `@deepseek-ai/dsh-brand` (packages/util/brand) with no harness-package deps.
  dsh-llm keeps its owned CallId but imports Branded from dsh-brand; dsh-session,
  dsh-agent, and dsh-bash all import Branded from there. dsh-bash depends on
  dsh-brand ALONE — never on dsh-llm or dsh-session (the architectural fix: a
  generic execution backend must not couple to the LLM or session vocabulary).
- Mint BashTaskId + OwnerToken in dsh-bash and thread them through BashTask.id,
  the get/ownerOf/list/readOutput/kill seam, the bash-local generation site, and
  the dsh-tool-bash validate/access surface. OwnerToken is a DISTINCT brand from
  SessionId so the seam stays decoupled; dsh-tool-bash is the single boundary
  that casts SessionId -> OwnerToken.
- Brand at the SOURCE, not via mid-pipeline casts: agent-loop's Config types
  agents[].id as AgentId and resumeSessionId as SessionId, so the brand enters
  at the config boundary and the inner create()/resume casts disappear (only the
  genuinely-new per-run session-id string is cast).
- Stop brand erosion: propagate CallId/SessionId/AgentId to the registry/store
  Map keys and public params/exports (SessionStore, AgentRegistry + factory
  options, the ACP session-id surface + ToolPresenter CallId map, the
  persistence coordinator, invariants pendingCalls, the pi-ai tool-call maps).
- Docs: document BashTaskId/OwnerToken in bash.md (type-equiv re-pasted), point
  the Branded type-equiv at dsh-brand, fix stale param types in the session/
  agent/bash READMEs, regenerate the cordis catalog + module graph.

Implements docs/rfc/proposed/architecture/2026-06-20-branded-ids.md

packages/ui/acp/tests/turns.spec.ts

@@ -3,6 +3,7 @@ import { mkdtemp, rm } from 'node:fs/promises'
 import { tmpdir } from 'node:os'
 import { join } from 'node:path'
 import { defineTool } from '@deepseek-ai/dsh-tools'
+import { AgentId } from '@deepseek-ai/dsh-agent'
 import { PROTOCOL_VERSION } from '@agentclientprotocol/sdk'
 import {
   errorResponse,
@@ -283,7 +284,7 @@ describe('acp bridge — turn outcomes', () => {
     // OWN turn with the real model answer.
     harness = await makeBridgeHarness({ storageDir, script: [textResponse('real answer')] })
     const sessionId = await newSession(harness)
-    const agent = harness.ctx.agents.get(sessionId)!
+    const agent = harness.ctx.agents.get(AgentId(sessionId))!
     // On the queued prompt, synchronously inject a one-shot context turn (idle
     // inject writes turn/start{injection} → context/message → turn/end). Fire
     // once so it lands between install and the prompt turn.
@@ -339,7 +340,7 @@ describe('acp bridge — turn outcomes', () => {
     await harness.client.cancel({ sessionId })
     const res = await promptDone
     expect(res.stopReason).toBe('cancelled')
-    const agent = harness.ctx.agents.get(sessionId)!
+    const agent = harness.ctx.agents.get(AgentId(sessionId))!
     await agent.whenIdle()
     // At most ONE turn ran (the cancelled one) — the cancel cleared the queue, so
     // no second turn was batched or leaked. (A best-effort abort that left queued