Fix Jina embedding credential fallback

Co-authored-by: ishaan-berri <ishaan-berri@users.noreply.github.com>

litellm/llms/jina_ai/embedding/transformation.py

@@ -85,8 +85,7 @@ class JinaAIEmbeddingConfig(BaseEmbeddingConfig):
         )  # type: ignore
         dynamic_api_key = api_key or (
             get_secret_str("JINA_AI_API_KEY")
-            or get_secret_str("JINA_AI_API_KEY")
-            or get_secret_str("JINA_AI_API_KEY")
+            or get_secret_str("JINA_API_KEY")
             or get_secret_str("JINA_AI_TOKEN")
         )
         return LlmProviders.JINA_AI.value, api_base, dynamic_api_key

tests/test_litellm/llms/jina_ai/embedding/test_jina_embedding_transformation.py

@@ -6,6 +6,7 @@ sys.path.insert(
     0, os.path.abspath("../../../../../..")
 )  # Adds the parent directory to the system path
 
+import litellm.llms.jina_ai.embedding.transformation as jina_embedding_transformation
 from litellm.llms.jina_ai.embedding.transformation import JinaAIEmbeddingConfig
 
 
@@ -26,6 +27,29 @@ class TestJinaAIEmbeddingTransform:
         )
         assert result == {"dimensions": 1024}
 
+    def test_provider_info_uses_jina_api_key_alias(self, monkeypatch):
+        """Test provider info resolves the shared Jina credential alias"""
+
+        def fake_get_secret_str(secret_name):
+            if secret_name == "JINA_API_KEY":
+                return "test-jina-key"
+            return None
+
+        monkeypatch.setattr(
+            jina_embedding_transformation, "get_secret_str", fake_get_secret_str
+        )
+
+        custom_llm_provider, api_base, dynamic_api_key = (
+            self.config._get_openai_compatible_provider_info(
+                api_base=None,
+                api_key=None,
+            )
+        )
+
+        assert custom_llm_provider == "jina_ai"
+        assert api_base == "https://api.jina.ai/v1"
+        assert dynamic_api_key == "test-jina-key"
+
     def test_transform_embedding_request_text_input(self):
         """Test transformation of a standard text embedding request"""
         input_data = ["hello world", "hello world again"]