diff --git a/litellm/llms/openai_like/embedding/handler.py b/litellm/llms/openai_like/embedding/handler.py
index ce0860724..7ddf43cb8 100644
--- a/litellm/llms/openai_like/embedding/handler.py
+++ b/litellm/llms/openai_like/embedding/handler.py
@@ -62,7 +62,7 @@ class OpenAILikeEmbeddingHandler(OpenAILikeBase):
             except httpx.HTTPStatusError as e:
                 raise OpenAILikeError(
                     status_code=e.response.status_code,
-                    message=response.text if response else str(e),
+                    message=e.response.text if e.response else str(e),
                 )
             except httpx.TimeoutException:
                 raise OpenAILikeError(
diff --git a/litellm/main.py b/litellm/main.py
index 32055eb9d..42e7889f2 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -3182,6 +3182,7 @@ async def aembedding(*args, **kwargs) -> EmbeddingResponse:
             or custom_llm_provider == "azure_ai"
             or custom_llm_provider == "together_ai"
             or custom_llm_provider == "openai_like"
+            or custom_llm_provider == "jina_ai"
         ):  # currently implemented aiohttp calls for just azure and openai, soon all.
             # Await normally
             init_response = await loop.run_in_executor(None, func_with_context)
diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml
index b06a9e667..9be7c894b 100644
--- a/litellm/proxy/_new_secret_config.yaml
+++ b/litellm/proxy/_new_secret_config.yaml
@@ -6,7 +6,10 @@ model_list:
   - model_name: rerank-model
     litellm_params:
       model: jina_ai/jina-reranker-v2-base-multilingual
-
+  - model_name: jina_ai/jina-embeddings-v3
+    litellm_params:
+      model: jina_ai/jina-embeddings-v3
+      max_tokens: 8192
 
 router_settings:
   model_group_alias: