refactor: share execution prep for tool-call phase

Keep the current tool-call bridge contract stable while extracting shared
execution setup and tightening Anthropic forwarding regressions.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

app/http/tool_bridge.py

@@ -15,6 +15,49 @@ def _json_string(value: Any) -> str:
         return "{}"
 
 
+def _openai_tool_name(tool: Any) -> str | None:
+    if not isinstance(tool, dict):
+        return None
+    if tool.get("type") == "function":
+        fn = tool.get("function")
+        if isinstance(fn, dict):
+            name = fn.get("name")
+            if isinstance(name, str) and name.strip():
+                return name.strip()
+    name = tool.get("name")
+    if isinstance(name, str) and name.strip():
+        return name.strip()
+    return None
+
+
+def _anthropic_tool_name(tool: Any) -> str | None:
+    if not isinstance(tool, dict):
+        return None
+    name = tool.get("name")
+    if isinstance(name, str) and name.strip():
+        return name.strip()
+    fn = tool.get("function")
+    if isinstance(fn, dict):
+        nested_name = fn.get("name")
+        if isinstance(nested_name, str) and nested_name.strip():
+            return nested_name.strip()
+    return None
+
+
+def _tool_event_allowed(
+    tool_name: str,
+    tool_config: dict[str, Any] | None,
+    *,
+    forced_tool_name: str | None = None,
+) -> bool:
+    if not (tool_config and isinstance(tool_config.get("tools"), list) and tool_config.get("tools")):
+        return True
+    for tool in tool_config.get("tools") or []:
+        if tool_name == _anthropic_tool_name(tool) or tool_name == _openai_tool_name(tool):
+            return True
+    return bool(forced_tool_name and tool_name == forced_tool_name)
+
+
 def _openai_forced_tool_name(tool_choice: Any) -> str | None:
     if not isinstance(tool_choice, dict):
         return None