feat(cli): mcpctl chat-llm + KIND/STATUS columns (v1 Stage 5)

Closes the loop on user-facing surface:

  $ mcpctl get llm
  NAME             KIND     STATUS    TYPE     MODEL                       TIER  KEY  ID
  qwen3-thinking   public   active    openai   qwen3-thinking              fast  ...  ...
  vllm-local       virtual  active    openai   Qwen/Qwen2.5-7B-Instruct    fast  -    ...

  $ mcpctl chat-llm vllm-local
  ────────────────────────────────────────
  LLM: vllm-local  openai → Qwen/Qwen2.5-7B-Instruct-AWQ
  Kind: virtual    Status: active
  ────────────────────────────────────────
  > hello?
  Hi! …

New: chat-llm command (commands/chat-llm.ts)
- Stateless chat with any mcpd-registered LLM. No threads, no tools,
  no project prompts. POSTs to /api/v1/llms/<name>/infer; mcpd's
  kind=virtual branch handles relay-through-mcplocal transparently,
  so the same CLI command works for both public and virtual LLMs.
- Reuses installStatusBar / formatStats / recordDelta / styleStats /
  PhaseStats from chat.ts (now exported) so the bottom-row tokens-per-
  second ticker behaves identically to mcpctl chat.
- Flags: --message (one-shot), --system, --temperature, --max-tokens,
  --no-stream. Streaming uses OpenAI chat.completion.chunk SSE.
- REPL mode keeps a per-session history array so multi-turn flows
  feel natural; each turn is an independent inference call.

Updated: get.ts
- LlmRow gains optional kind/status fields.
- llmColumns layout: NAME, KIND, STATUS, TYPE, MODEL, TIER, KEY, ID.
  Defaults gracefully when older mcpd responses don't return them.

Updated: chat.ts
- Re-exports the helpers chat-llm.ts needs (PhaseStats, newPhase,
  recordDelta, formatStats, styleStats, styleThinking, STDERR_IS_TTY,
  StatusBar, installStatusBar). No behavior change.

Completions: chat-llm picks up the standard option enumeration
automatically; bash gets a special-case for first-arg LLM-name
completion via _mcpctl_resource_names "llms".

CLI suite: 437/437 (was 430, +7 from auto-discovered test cases in
the regenerated completions golden). Workspace: 2043/2043 across
152 files.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

src/cli/src/index.ts

@@ -19,6 +19,7 @@ import { createPatchCommand } from './commands/patch.js';
 import { createConsoleCommand } from './commands/console/index.js';
 import { createCacheCommand } from './commands/cache.js';
 import { createChatCommand } from './commands/chat.js';
+import { createChatLlmCommand } from './commands/chat-llm.js';
 import { createMigrateCommand } from './commands/migrate.js';
 import { createRotateCommand } from './commands/rotate.js';
 import { ApiClient, ApiError } from './api-client.js';
@@ -241,6 +242,13 @@ export function createProgram(): Command {
     log: (...args) => console.log(...args),
   }));
 
+  program.addCommand(createChatLlmCommand({
+    client,
+    baseUrl,
+    ...(creds?.token !== undefined ? { token: creds.token } : {}),
+    log: (...args) => console.log(...args),
+  }));
+
   program.addCommand(createPatchCommand({
     client,
     log: (...args) => console.log(...args),