diff --git a/litellm/litellm_core_utils/exception_mapping_utils.py b/litellm/litellm_core_utils/exception_mapping_utils.py
index 25ae0269ab..6936924fe1 100644
--- a/litellm/litellm_core_utils/exception_mapping_utils.py
+++ b/litellm/litellm_core_utils/exception_mapping_utils.py
@@ -1449,6 +1449,14 @@ def exception_type(  # type: ignore  # noqa: PLR0915
                         model=model,
                         response=getattr(original_exception, "response", None),
                     )
+                elif "invalid type: parameter" in error_str:
+                    exception_mapping_worked = True
+                    raise BadRequestError(
+                        message=f"CohereException - {original_exception.message}",
+                        llm_provider="cohere",
+                        model=model,
+                        response=getattr(original_exception, "response", None),
+                    )
                 elif "too many tokens" in error_str:
                     exception_mapping_worked = True
                     raise ContextWindowExceededError(
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 5e5bccb81e..da2700f7c2 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -296,6 +296,18 @@
         "output_cost_per_token": 0.0,
         "output_vector_size": 1024
     },
+    "twelvelabs.marengo-embed-2-7-v1:0": {
+        "input_cost_per_token": 7e-05,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 77,
+        "max_tokens": 77,
+        "mode": "embedding",
+        "output_cost_per_token": 0.0,
+        "output_vector_size": 1024,
+        "supports_embedding_image_input": true,
+        "supports_image_input": true,
+        "supports_multimodal_embedding": true
+    },
     "amazon.titan-text-express-v1": {
         "input_cost_per_token": 1.3e-06,
         "litellm_provider": "bedrock",