feat: add GPT-5.6 variants to Bedrock catalog (#30285)

## Summary

- add Sol (`openai.gpt-5.6-sol`), Terra (`openai.gpt-5.6-terra`), and
Luna (`openai.gpt-5.6-luna`) to the Amazon Bedrock static model catalog
- derive all three entries from the bundled GPT-5.5 metadata and add the
Bedrock-only `max` reasoning effort
- keep the new entries below the current GPT-5.5 and GPT-5.4 models at
priorities 2, 3, and 4, preserving GPT-5.5 as the default
- add deep-equality coverage for inherited model configuration, catalog
ordering, context windows, and service-tier behavior

codex-rs/model-provider/src/amazon_bedrock/catalog.rs

@@ -1,8 +1,13 @@
 use codex_model_provider_info::AMAZON_BEDROCK_GPT_5_4_MODEL_ID;
 use codex_model_provider_info::AMAZON_BEDROCK_GPT_5_5_MODEL_ID;
+use codex_model_provider_info::AMAZON_BEDROCK_GPT_5_6_LUNA_MODEL_ID;
+use codex_model_provider_info::AMAZON_BEDROCK_GPT_5_6_SOL_MODEL_ID;
+use codex_model_provider_info::AMAZON_BEDROCK_GPT_5_6_TERRA_MODEL_ID;
 use codex_models_manager::bundled_models_response;
 use codex_protocol::openai_models::ModelInfo;
 use codex_protocol::openai_models::ModelsResponse;
+use codex_protocol::openai_models::ReasoningEffort;
+use codex_protocol::openai_models::ReasoningEffortPreset;
 
 const GPT_5_BEDROCK_CONTEXT_WINDOW: i64 = 272_000;
 const GPT_5_5_OPENAI_MODEL_ID: &str = "gpt-5.5";
@@ -21,6 +26,21 @@ pub(crate) fn static_model_catalog() -> ModelsResponse {
                 AMAZON_BEDROCK_GPT_5_4_MODEL_ID,
                 /*priority*/ 1,
             ),
+            gpt_5_6_bedrock_model(
+                AMAZON_BEDROCK_GPT_5_6_SOL_MODEL_ID,
+                "Sol",
+                /*priority*/ 2,
+            ),
+            gpt_5_6_bedrock_model(
+                AMAZON_BEDROCK_GPT_5_6_TERRA_MODEL_ID,
+                "Terra",
+                /*priority*/ 3,
+            ),
+            gpt_5_6_bedrock_model(
+                AMAZON_BEDROCK_GPT_5_6_LUNA_MODEL_ID,
+                "Luna",
+                /*priority*/ 4,
+            ),
         ],
     })
 }
@@ -44,6 +64,18 @@ fn gpt_5_bedrock_model(openai_slug: &str, bedrock_slug: &str, priority: i32) ->
     model
 }
 
+fn gpt_5_6_bedrock_model(bedrock_slug: &str, display_name: &str, priority: i32) -> ModelInfo {
+    let mut model = gpt_5_bedrock_model(GPT_5_5_OPENAI_MODEL_ID, bedrock_slug, priority);
+    model.display_name = display_name.to_string();
+    model
+        .supported_reasoning_levels
+        .push(ReasoningEffortPreset {
+            effort: ReasoningEffort::Custom("max".to_string()),
+            description: "Maximum reasoning depth for the hardest problems".to_string(),
+        });
+    model
+}
+
 fn bundled_openai_model(slug: &str) -> ModelInfo {
     bundled_models_response()
         .unwrap_or_else(|err| panic!("bundled models.json should parse: {err}"))
@@ -64,39 +96,67 @@ mod tests {
     fn catalog_uses_mantle_model_ids_as_slugs() {
         let catalog = static_model_catalog();
 
-        assert_eq!(catalog.models.len(), 2);
-        assert_eq!(catalog.models[0].slug, AMAZON_BEDROCK_GPT_5_5_MODEL_ID);
-        assert_eq!(catalog.models[1].slug, AMAZON_BEDROCK_GPT_5_4_MODEL_ID);
+        assert_eq!(
+            catalog
+                .models
+                .iter()
+                .map(|model| model.slug.as_str())
+                .collect::<Vec<_>>(),
+            vec![
+                AMAZON_BEDROCK_GPT_5_5_MODEL_ID,
+                AMAZON_BEDROCK_GPT_5_4_MODEL_ID,
+                AMAZON_BEDROCK_GPT_5_6_SOL_MODEL_ID,
+                AMAZON_BEDROCK_GPT_5_6_TERRA_MODEL_ID,
+                AMAZON_BEDROCK_GPT_5_6_LUNA_MODEL_ID,
+            ]
+        );
     }
 
     #[test]
     fn gpt_5_bedrock_models_use_bedrock_context_window() {
         let catalog = static_model_catalog();
+
+        for model in catalog.models {
+            assert_eq!(
+                (model.context_window, model.max_context_window),
+                (
+                    Some(GPT_5_BEDROCK_CONTEXT_WINDOW),
+                    Some(GPT_5_BEDROCK_CONTEXT_WINDOW)
+                )
+            );
+        }
+    }
+
+    #[test]
+    fn gpt_5_6_bedrock_models_clone_gpt_5_5_config_with_max_reasoning_effort() {
+        let catalog = static_model_catalog();
         let gpt_5_5 = catalog
             .models
             .iter()
             .find(|model| model.slug == AMAZON_BEDROCK_GPT_5_5_MODEL_ID)
             .expect("Bedrock catalog should include GPT-5.5");
-        let gpt_5_4 = catalog
-            .models
-            .iter()
-            .find(|model| model.slug == AMAZON_BEDROCK_GPT_5_4_MODEL_ID)
-            .expect("Bedrock catalog should include GPT-5.4");
 
-        assert_eq!(
-            (gpt_5_5.context_window, gpt_5_5.max_context_window),
-            (
-                Some(GPT_5_BEDROCK_CONTEXT_WINDOW),
-                Some(GPT_5_BEDROCK_CONTEXT_WINDOW)
-            )
-        );
-        assert_eq!(
-            (gpt_5_4.context_window, gpt_5_4.max_context_window),
-            (
-                Some(GPT_5_BEDROCK_CONTEXT_WINDOW),
-                Some(GPT_5_BEDROCK_CONTEXT_WINDOW)
-            )
-        );
+        for (slug, display_name, priority) in [
+            (AMAZON_BEDROCK_GPT_5_6_SOL_MODEL_ID, "Sol", 2),
+            (AMAZON_BEDROCK_GPT_5_6_TERRA_MODEL_ID, "Terra", 3),
+            (AMAZON_BEDROCK_GPT_5_6_LUNA_MODEL_ID, "Luna", 4),
+        ] {
+            let mut expected = gpt_5_5.clone();
+            expected.slug = slug.to_string();
+            expected.display_name = display_name.to_string();
+            expected.priority = priority;
+            expected
+                .supported_reasoning_levels
+                .push(ReasoningEffortPreset {
+                    effort: ReasoningEffort::Custom("max".to_string()),
+                    description: "Maximum reasoning depth for the hardest problems".to_string(),
+                });
+
+            assert_eq!(
+                catalog.models.iter().find(|model| model.slug == slug),
+                Some(&expected)
+            );
+        }
     }
 
     #[test]