feat: add support for gpt-5.5 model in the LLM configuration and tests (#188)

EvoScientist/llm/models.py

@@ -70,6 +70,7 @@ _MODEL_ENTRIES: list[tuple[str, str, str]] = [
     ("claude-haiku-4-5", "claude-haiku-4-5", "custom-anthropic"),
     # Custom OpenAI (third-party OpenAI-compatible endpoints, 3 defaults)
     # Listed BEFORE native openai so MODELS dict defaults to native provider
+    ("gpt-5.5", "gpt-5.5", "custom-openai"),
     ("gpt-5.4", "gpt-5.4", "custom-openai"),
     ("gpt-5.3-codex", "gpt-5.3-codex", "custom-openai"),
     ("gpt-5-mini", "gpt-5-mini", "custom-openai"),
@@ -81,6 +82,7 @@ _MODEL_ENTRIES: list[tuple[str, str, str]] = [
     ("claude-sonnet-4-5", "claude-sonnet-4-5", "anthropic"),
     ("claude-haiku-4-5", "claude-haiku-4-5", "anthropic"),
     # OpenAI
+    ("gpt-5.5", "gpt-5.5", "openai"),
     ("gpt-5.4", "gpt-5.4", "openai"),
     ("gpt-5.4-mini", "gpt-5.4-mini", "openai"),
     ("gpt-5.4-nano", "gpt-5.4-nano", "openai"),
@@ -129,6 +131,7 @@ _MODEL_ENTRIES: list[tuple[str, str, str]] = [
     ("claude-opus-4.7", "anthropic/claude-opus-4.7", "openrouter"),
     ("claude-opus-4.6", "anthropic/claude-opus-4.6", "openrouter"),
     ("claude-sonnet-4.6", "anthropic/claude-sonnet-4.6", "openrouter"),
+    ("gpt-5.5", "openai/gpt-5.5", "openrouter"),
     ("gpt-5.4", "openai/gpt-5.4", "openrouter"),
     ("gpt-5.3-codex", "openai/gpt-5.3-codex", "openrouter"),
     ("gemini-3.1-pro", "google/gemini-3.1-pro-preview", "openrouter"),
@@ -139,6 +142,8 @@ _MODEL_ENTRIES: list[tuple[str, str, str]] = [
     ("mimo-v2-pro", "xiaomi/mimo-v2-pro", "openrouter"),
     ("grok-4.1-fast", "x-ai/grok-4.1-fast", "openrouter"),
     ("qwen3.5-122b", "qwen/qwen3.5-122b-a10b", "openrouter"),
+    ("deepseek-v4-pro", "deepseek/deepseek-v4-pro", "openrouter"),
+    ("deepseek-v4-flash", "deepseek/deepseek-v4-flash", "openrouter"),
     # Zhipu CodePlan (智谱代码计划 — coding-only endpoint)
     ("glm-5.1", "glm-5.1", "zhipu-code"),
     ("glm-5", "glm-5", "zhipu-code"),
@@ -165,6 +170,9 @@ _MODEL_ENTRIES: list[tuple[str, str, str]] = [
     ("qwen-max", "qwen-max", "dashscope"),
     ("qwq-plus", "qwq-plus", "dashscope"),
     # DeepSeek
+    ("deepseek-v4-pro", "deepseek-v4-pro", "deepseek"),
+    ("deepseek-v4-flash", "deepseek-v4-flash", "deepseek"),
+    # Legacy aliases (deprecated 2026-07-24; route to v4-flash thinking/non-thinking)
     ("deepseek-r1", "deepseek-reasoner", "deepseek"),
     ("deepseek-v3", "deepseek-chat", "deepseek"),
     # Moonshot (OpenAI-compatible)
@@ -237,7 +245,11 @@ def _apply_auto_config(
             # ccproxy uses Chat Completions which doesn't support reasoning.
             pass
         else:
-            _eff = "xhigh" if ("5.4" in model_id or "codex" in model_id) else "high"
+            _eff = (
+                "xhigh"
+                if ("5.4" in model_id or "5.5" in model_id or "codex" in model_id)
+                else "high"
+            )
             kwargs["reasoning"] = {"effort": _eff, "summary": "auto"}
 
     # Google GenAI: surface thinking traces

tests/test_llm.py

@@ -895,6 +895,12 @@ class TestAutoConfig:
             "summary": "auto",
         }
 
+        get_chat_model("gpt-5.5", provider="openai")
+        assert mock_init.call_args[1]["reasoning"] == {
+            "effort": "xhigh",
+            "summary": "auto",
+        }
+
     @patch("EvoScientist.llm.models.init_chat_model")
     def test_openai_reasoning_high_fallback(self, mock_init, monkeypatch):
         """Other OpenAI models get high reasoning effort."""