update pricing for bedrock nova LLM models (#11336)

Co-authored-by: Yuanbo Li <ybalbert@amazon.com>

api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-lite-v1.yaml

@@ -46,7 +46,7 @@ parameter_rules:
       zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
       en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
 pricing:
-  input: '0.0008'
-  output: '0.0016'
+  input: '0.00006'
+  output: '0.00024'
   unit: '0.001'
   currency: USD

api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-micro-v1.yaml

@@ -46,7 +46,7 @@ parameter_rules:
       zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
       en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
 pricing:
-  input: '0.0008'
-  output: '0.0016'
+  input: '0.000035'
+  output: '0.00014'
   unit: '0.001'
   currency: USD

api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-pro-v1.yaml

@@ -47,6 +47,6 @@ parameter_rules:
       en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
 pricing:
   input: '0.0008'
-  output: '0.0016'
+  output: '0.0032'
   unit: '0.001'
   currency: USD

api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-lite-v1.yaml

@@ -46,7 +46,7 @@ parameter_rules:
       zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
       en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
 pricing:
-  input: '0.0008'
-  output: '0.0016'
+  input: '0.00006'
+  output: '0.00024'
   unit: '0.001'
   currency: USD

api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-micro-v1.yaml

@@ -46,7 +46,7 @@ parameter_rules:
       zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
       en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
 pricing:
-  input: '0.0008'
-  output: '0.0016'
+  input: '0.000035'
+  output: '0.00014'
   unit: '0.001'
   currency: USD

api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-pro-v1.yaml

@@ -47,6 +47,6 @@ parameter_rules:
       en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
 pricing:
   input: '0.0008'
-  output: '0.0016'
+  output: '0.0032'
   unit: '0.001'
   currency: USD