fix(kimi): surface K2.7 Code in native picker (#46309)

hermes_cli/model_setup_flows.py

@@ -1853,18 +1853,7 @@ def _model_flow_kimi(config, current_model=""):
     print()
 
     # Step 3: Model selection — show appropriate models for the endpoint
-    if is_coding_plan:
-        # Coding Plan models (kimi-k2.6 first)
-        model_list = [
-            "kimi-k2.6",
-            "kimi-k2.5",
-            "kimi-for-coding",
-            "kimi-k2-thinking",
-            "kimi-k2-thinking-turbo",
-        ]
-    else:
-        # Legacy Moonshot models (excludes Coding Plan-only models)
-        model_list = _PROVIDER_MODELS.get("moonshot", [])
+    model_list = _PROVIDER_MODELS.get("kimi-coding" if is_coding_plan else "moonshot", [])
 
     if model_list:
         selected = _prompt_model_selection(

hermes_cli/models.py

@@ -282,6 +282,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
         "openai/gpt-oss-120b",
     ],
     "kimi-coding": [
+        "kimi-k2.7-code",
         "kimi-k2.6",
         "kimi-k2.5",
         "kimi-for-coding",
@@ -2369,6 +2370,15 @@ def provider_model_ids(provider: Optional[str], *, force_refresh: bool = False)
             if api_key:
                 live = _p.fetch_models(api_key=api_key)
                 if live:
+                    if normalized in {"kimi-coding", "kimi-coding-cn"}:
+                        curated = list(_PROVIDER_MODELS.get(normalized, []))
+                        merged = list(curated)
+                        merged_lower = {m.lower() for m in curated}
+                        for m in live:
+                            if m.lower() not in merged_lower:
+                                merged.append(m)
+                                merged_lower.add(m.lower())
+                        return merged
                     return live
             # Use profile's fallback_models if defined
             if _p.fallback_models: