refactor(ai_client): rename send_result to send in 5 src/ call sites

Renames 10 references across app_controller, conductor_tech_lead,
mcp_client (docstring example), multi_agent_conductor, orchestrator_pm.

5 call sites in ai_client.send_result(...) -> ai_client.send(...)
3 print strings mentioning send_result
1 docstring comment (conductor_tech_lead)
1 docstring example (mcp_client) 'src.ai_client.send_result' -> 'src.ai_client.send'

Test suite state: still red, but all src/-level call sites are now
renamed. Remaining failures are in test files (mocks and patches
that still reference send_result).

Refs: conductor/tracks/send_result_to_send_20260616/

scripts/tier2/apply_t2_1_edits.py

@@ -0,0 +1,69 @@
+"""Apply the 10 send_result -> send edits in the 5 other src/ files (Phase 2)."""
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+FILES = [
+ "src/app_controller.py",
+ "src/conductor_tech_lead.py",
+ "src/mcp_client.py",
+ "src/multi_agent_conductor.py",
+ "src/orchestrator_pm.py",
+]
+
+EDITS: dict[str, list[tuple[str, str]]] = {
+ "src/app_controller.py": [
+  ("result = ai_client.send_result(context_to_send,", "result = ai_client.send(context_to_send,"),
+  ("result = ai_client.send_result(\n", "result = ai_client.send(\n"),
+ ],
+ "src/conductor_tech_lead.py": [
+  (" - Uses ai_client.send_result() for LLM communication", " - Uses ai_client.send() for LLM communication"),
+  ("result = ai_client.send_result(\n", "result = ai_client.send(\n"),
+  ("print(f\"[conductor_tech_lead] send_result failed: {_msg}\")", "print(f\"[conductor_tech_lead] send failed: {_msg}\")"),
+ ],
+ "src/mcp_client.py": [
+  ("'src.ai_client.send_result'", "'src.ai_client.send'"),
+ ],
+ "src/multi_agent_conductor.py": [
+  ("result = ai_client.send_result(\n", "result = ai_client.send(\n"),
+  ("print(f\"[MMA] Worker send_result failed for {ticket.id}: {err_msg}\")", "print(f\"[MMA] Worker send failed for {ticket.id}: {err_msg}\")"),
+ ],
+ "src/orchestrator_pm.py": [
+  ("result = ai_client.send_result(\n", "result = ai_client.send(\n"),
+  ("print(f\"[orchestrator_pm] send_result failed: {_msg}\")", "print(f\"[orchestrator_pm] send failed: {_msg}\")"),
+ ],
+}
+
+
+def main() -> int:
+ total = 0
+ for rel in FILES:
+  p = Path(rel)
+  with p.open("r", encoding="utf-8", newline="") as f:
+   content = f.read()
+  has_crlf = "\r\n" in content
+  nl = "\r\n" if has_crlf else "\n"
+  edits = [(o.replace("\n", nl), n.replace("\n", nl)) for o, n in EDITS[rel]]
+  new_content = content
+  applied = 0
+  for old, new in edits:
+   if old in new_content:
+    new_content = new_content.replace(old, new, 1)
+    applied += 1
+   else:
+    print(f"NOT FOUND in {rel}: {old[:80]!r}", file=sys.stderr)
+  if applied != len(edits):
+   print(f"Only applied {applied}/{len(edits)} edits in {rel}. ABORTING.", file=sys.stderr)
+   return 1
+  with p.open("w", encoding="utf-8", newline="") as f:
+   f.write(new_content)
+  remaining = new_content.count("send_result")
+  print(f"{rel}: applied {applied}/{len(edits)}, remaining={remaining}")
+  total += applied
+ print(f"Total: {total} edits applied")
+ return 0
+
+
+if __name__ == "__main__":
+ raise SystemExit(main())