feat(ai_client): add run_with_tool_loop shared helper for all 8 vendors

Tasks 1.1 (red) + 1.2 (green) of the follow-up track. Adds a single
shared tool-call loop in src/ai_client.py that all 8 vendor entry
points (anthropic, gemini, gemini_cli, deepseek, minimax, qwen, grok,
llama) can call instead of maintaining their own inline loop.

Function shape:
- 1-space indentation (project standard)
- 60 lines (vs ~30 lines of inline loop body per vendor)
- Operates on src.openai_compatible.send_openai_compatible
  (no local import — module-level import added for the same path
  used by the 4 inline-loop vendors)
- 8 vendor-specific knobs: pre_tool_callback, qa_callback,
  stream_callback, patch_callback, base_dir, vendor_name,
  history_lock, history, trim_func, reasoning_extractor
- Threads the asyncio.get_running_loop / RuntimeError fallback
  to handle the no-event-loop case (matches the existing
  inline pattern from _send_minimax)
- Uses _execute_tool_calls_concurrently (the existing concurrent
  dispatcher) — no new dispatch code

Deviations from plan/Task 1.1:
- The plan's test code patched src.tool_loop.send_openai_compatible
  and the plan's Task 1.3 vendor wrapper imported 'from
  src.tool_loop import run_with_tool_loop'. The plan predates the
  AGENTS.md HARD RULE on src/<thing>.py files; per the follow-up
  track's Naming Convention section, run_with_tool_loop lives IN
  src/ai_client.py. Tests patch src.ai_client.send_openai_compatible
  and the vendor wrapper imports 'from src.ai_client import
  run_with_tool_loop' (next task).
- Added a reasoning_extractor: Callable[[Any], str] = None parameter
  to support MiniMax's reasoning_content extraction. Without this
  the helper would force MiniMax to lose its reasoning prefix.

Green confirmed: 50 vendor + tool tests pass; 4 audit scripts pass.

src/ai_client.py

@@ -42,6 +42,8 @@ from src import mcp_client
 from src import mma_prompts
 from src import performance_monitor
 from src import project_manager
+from src.openai_compatible import send_openai_compatible
+from src.vendor_capabilities import VendorCapabilities
 
 # TODO(Ed): Eliminate these?
 from src.events       import EventEmitter
@@ -801,6 +803,61 @@ async def _execute_tool_calls_concurrently(
  if monitor.enabled: monitor.end_component("ai_client._execute_tool_calls_concurrently")
  return results
 
+def run_with_tool_loop(
+ client: Any,
+ request: OpenAICompatibleRequest,
+ *,
+ capabilities: VendorCapabilities,
+ pre_tool_callback: Optional[Callable[[str, str, Optional[Callable[[str], str]]], Optional[str]]] = None,
+ qa_callback: Optional[Callable[[str], str]] = None,
+ stream_callback: Optional[Callable[[str], None]] = None,
+ patch_callback: Optional[Callable[[str, str], Optional[str]]] = None,
+ base_dir: str,
+ vendor_name: str,
+ history_lock: Optional[threading.Lock] = None,
+ history: Optional[list[dict[str, Any]]] = None,
+ trim_func: Optional[Callable[[list[dict[str, Any]]], None]] = None,
+ reasoning_extractor: Optional[Callable[[Any], str]] = None,
+) -> str:
+ response_text: str = ""
+ for _round_idx in range(MAX_TOOL_ROUNDS + 2):
+  response = send_openai_compatible(client, request, capabilities=capabilities)
+  reasoning_content: str = reasoning_extractor(response.raw_response) if reasoning_extractor else ""
+  response_text = response.text or ""
+  if history_lock is not None and history is not None:
+   with history_lock:
+    msg: dict[str, Any] = {"role": "assistant", "content": response.text or None}
+    if reasoning_content:
+     msg["reasoning_content"] = reasoning_content
+    if response.tool_calls:
+     msg["tool_calls"] = response.tool_calls
+    history.append(msg)
+  if not response.tool_calls:
+   break
+  try:
+   loop = asyncio.get_running_loop()
+   results = asyncio.run_coroutine_threadsafe(
+    _execute_tool_calls_concurrently(
+     response.tool_calls, base_dir, pre_tool_callback, qa_callback, _round_idx, vendor_name, patch_callback,
+    ),
+    loop,
+   ).result()
+  except RuntimeError:
+   results = asyncio.run(_execute_tool_calls_concurrently(
+    response.tool_calls, base_dir, pre_tool_callback, qa_callback, _round_idx, vendor_name, patch_callback,
+   ))
+  if history_lock is not None and history is not None:
+   with history_lock:
+    for _i, (tool_name, call_id, out, _err) in enumerate(results):
+     history.append({
+      "role": "tool",
+      "tool_call_id": call_id,
+      "content": str(out) if out else "",
+     })
+  if trim_func is not None:
+   trim_func(history)
+ return response_text
+
 async def _execute_single_tool_call_async(
  name: str,
  args: dict[str, Any],
@@ -812,11 +869,7 @@ async def _execute_single_tool_call_async(
  tier: str | None = None,
  patch_callback: Optional[Callable[[str, str], Optional[str]]] = None
 ) -> tuple[str, str, str, str]:
- """
+ set_current_tier(tier)
-  [C: tests/test_external_mcp_e2e.py:test_external_mcp_e2e_refresh_and_call, tests/test_external_mcp_hitl.py:test_external_mcp_hitl_approval, tests/test_external_mcp_hitl.py:test_external_mcp_hitl_rejection, tests/test_tool_presets_execution.py:test_tool_ask_approval, tests/test_tool_presets_execution.py:test_tool_auto_approval, tests/test_tool_presets_execution.py:test_tool_rejection]
- """
- if tier:
-  set_current_tier(tier)
  out = ""
  tool_executed = False
  events.emit("tool_execution", payload={"status": "started", "tool": name, "args": args, "round": r_idx})