fix(llm): preserve image detail level in Responses API input

Chat Completions image_url objects can carry a 'detail' level (low/high/auto).
The Responses translation rebuilt each input_image using only its URL, dropping
the caller's requested detail. Forward 'detail' onto the input_image part.

Co-authored-by: Mervin Praison <[email protected]>

src/praisonai-agents/praisonaiagents/llm/openai_client.py

@@ -755,12 +755,14 @@ class OpenAIClient:
                     "text": part.get("text", ""),
                 })
             elif part_type == "image_url":
-                responses_content.append({
+                image_url = part.get("image_url")
+                image_part: Dict[str, Any] = {
                     "type": "input_image",
-                    "image_url": cls._normalise_responses_image_url(
-                        part.get("image_url")
-                    ),
-                })
+                    "image_url": cls._normalise_responses_image_url(image_url),
+                }
+                if isinstance(image_url, dict) and image_url.get("detail"):
+                    image_part["detail"] = image_url["detail"]
+                responses_content.append(image_part)
             elif part_type == "input_image":
                 item = dict(part)
                 item["image_url"] = cls._normalise_responses_image_url(

src/praisonai-agents/tests/integration/test_responses_api.py

@@ -372,6 +372,27 @@ class TestOpenAIClientResponsesAPI:
             ],
         }]
 
+    def test_build_responses_input_preserves_image_detail(self):
+        from praisonaiagents.llm.openai_client import OpenAIClient
+
+        client = OpenAIClient.__new__(OpenAIClient)
+        params = client._build_responses_input([{
+            "role": "user",
+            "content": [{
+                "type": "image_url",
+                "image_url": {
+                    "url": "https://example.com/image.png",
+                    "detail": "high",
+                },
+            }],
+        }], "gpt-4o-mini")
+
+        assert params["input"][0]["content"][0] == {
+            "type": "input_image",
+            "image_url": "https://example.com/image.png",
+            "detail": "high",
+        }
+
     def test_build_responses_input_encodes_local_image(self, tmp_path):
         from praisonaiagents.llm.openai_client import OpenAIClient