docs: drop retired model IDs from the reproducibility note and smoke script

The README reproducibility example named gpt-4.1 and the structured-output smoke
script listed gemini-2.5-flash / deepseek-chat / qwen-plus / grok-4 — all retired
from the catalog. Generalize the note and refresh the smoke defaults.

Author: Yijia-Xiao

README.md

@@ -275,14 +275,14 @@ Language model sampling is non-deterministic. Even at a fixed temperature, provi
 
 Live data moves. News, StockTwits, and Reddit return different content as time passes, so a run today sees different inputs than a run last week even for the same historical trade date. Pin the analysis date to hold the price and indicator window fixed, but the social and news sources still reflect "now".
 
-To reduce variation you can lower the sampling temperature. Set `temperature` in your config (or `TRADINGAGENTS_TEMPERATURE` in `.env`); lower values make models that honor it more repeatable. Reasoning models largely ignore temperature, so for tighter reproducibility pair a low temperature with a non-reasoning model such as `gpt-4.1`.
+To reduce variation you can lower the sampling temperature. Set `temperature` in your config (or `TRADINGAGENTS_TEMPERATURE` in `.env`); lower values make models that honor it more repeatable. The current curated models are reasoning-first and largely ignore temperature, so for tighter reproducibility use a non-reasoning model, which you can set explicitly via the Custom model ID option.
 
 ```python
 config = DEFAULT_CONFIG.copy()
 config["llm_provider"] = "openai"
-config["deep_think_llm"] = "gpt-4.1"      # non-reasoning model honors temperature
-config["quick_think_llm"] = "gpt-4.1"
 config["temperature"] = 0.0
+# Reasoning models ignore temperature. For tighter reproducibility, set a
+# non-reasoning deep/quick model explicitly (e.g. via the Custom model ID option).
 ```
 
 What does not vary anymore: the analyzed company identity is resolved deterministically from the ticker before any agent runs, and the market analyst grounds exact price and indicator claims in a verified data snapshot. Earlier reports of "different companies" or fabricated price levels across runs are addressed by these two mechanisms.

scripts/smoke_structured_output.py

@@ -31,12 +31,12 @@
 
 PROVIDER_DEFAULTS = {
     "openai": ("gpt-5.4-mini", None),
-    "google": ("gemini-2.5-flash", None),
+    "google": ("gemini-3.5-flash", None),
     "anthropic": ("claude-sonnet-4-6", None),
-    "deepseek": ("deepseek-chat", None),
-    "qwen": ("qwen-plus", None),
+    "deepseek": ("deepseek-v4-flash", None),
+    "qwen": ("qwen3.7-plus", None),
     "glm": ("glm-5", None),
-    "xai": ("grok-4", None),
+    "xai": ("grok-4.3", None),
 }