fix: wire _ephemeral_max_output_tokens into chat_completions and add NVIDIA NIM default

Based on #12152 by @LVT382009.

Two fixes to run_agent.py:

1. _ephemeral_max_output_tokens consumption in chat_completions path:
   The error-recovery ephemeral override was only consumed in the
   anthropic_messages branch of _build_api_kwargs.  All chat_completions
   providers (OpenRouter, NVIDIA NIM, Qwen, Alibaba, custom, etc.)
   silently ignored it.  Now consumed at highest priority, matching the
   anthropic pattern.

2. NVIDIA NIM max_tokens default (16384):
   NVIDIA NIM falls back to a very low internal default when max_tokens
   is omitted, causing models like GLM-4.7 to truncate immediately
   (thinking tokens exhaust the budget before the response starts).

3. Progressive length-continuation boost:
   When finish_reason='length' triggers a continuation retry, the output
   budget now grows progressively (2x base on retry 1, 3x on retry 2,
   capped at 32768) via _ephemeral_max_output_tokens.  Previously the
   retry loop just re-sent the same token limit on all 3 attempts.

scripts/release.py

@@ -267,6 +267,7 @@ AUTHOR_MAP = {
     "aviralarora002@gmail.com": "AviArora02-commits",
     "junminliu@gmail.com": "JimLiu",
     "jarvischer@gmail.com": "maxchernin",
+    "levantam.98.2324@gmail.com": "LVT382009",
 }