.content is deleted in haystack 2.9.0, should use .text now

python/instrumentation/openinference-instrumentation-haystack/src/openinference/instrumentation/haystack/_wrappers.py

@@ -380,7 +380,7 @@ def _get_llm_input_message_attributes(arguments: Mapping[str, Any]) -> Iterator[
         map(lambda x: isinstance(x, ChatMessage), messages)
     ):
         for message_index, message in enumerate(messages):
-            if (content := message.content) is not None:
+            if (content := message.text) is not None:
                 yield f"{LLM_INPUT_MESSAGES}.{message_index}.{MESSAGE_CONTENT}", content
             if (role := message.role) is not None:
                 yield f"{LLM_INPUT_MESSAGES}.{message_index}.{MESSAGE_ROLE}", role
@@ -409,7 +409,7 @@ def _get_llm_output_message_attributes(response: Mapping[str, Any]) -> Iterator[
                 continue
             if finish_reason == "tool_calls":
                 try:
-                    tool_calls = json.loads(reply.content)
+                    tool_calls = json.loads(reply.text)
                 except json.JSONDecodeError:
                     continue
                 for tool_call_index, tool_call in enumerate(tool_calls):
@@ -426,7 +426,7 @@ def _get_llm_output_message_attributes(response: Mapping[str, Any]) -> Iterator[
                             tool_name,
                         )
             else:
-                yield f"{LLM_OUTPUT_MESSAGES}.{reply_index}.{MESSAGE_CONTENT}", reply.content
+                yield f"{LLM_OUTPUT_MESSAGES}.{reply_index}.{MESSAGE_CONTENT}", reply.text
             yield f"{LLM_OUTPUT_MESSAGES}.{reply_index}.{MESSAGE_ROLE}", reply.role.value
         elif isinstance(reply, str):
             yield f"{LLM_OUTPUT_MESSAGES}.0.{MESSAGE_CONTENT}", reply

python/instrumentation/openinference-instrumentation-haystack/tests/openinference/haystack/test_instrumentor.py

@@ -448,7 +448,7 @@ def test_tool_calling_llm_span_has_expected_attributes(
             }
         }
     )
-    assert "get_current_weather" in response["llm"]["replies"][0].content
+    assert "get_current_weather" in response["llm"]["replies"][0].text
 
     spans = in_memory_span_exporter.get_finished_spans()
     assert len(spans) == 2
@@ -527,7 +527,7 @@ def test_openai_chat_generator_llm_span_has_expected_attributes(
             }
         }
     )
-    assert "argentina" in response["llm"]["replies"][0].content.lower()
+    assert "argentina" in response["llm"]["replies"][0].text.lower()
     spans = in_memory_span_exporter.get_finished_spans()
     assert len(spans) == 2
     span = spans[0]
@@ -729,8 +729,8 @@ def test_cohere_reranker_span_has_expected_attributes(
     )
     ranker_response = response["ranker"]
     assert len(response_documents := ranker_response["documents"]) == 2
-    assert "Lionel Messi" in response_documents[0].content
-    assert "Paul Graham" in response_documents[1].content
+    assert "Lionel Messi" in response_documents[0].text
+    assert "Paul Graham" in response_documents[1].text
 
     spans = in_memory_span_exporter.get_finished_spans()
     assert len(spans) == 2
@@ -872,9 +872,9 @@ def test_openai_document_embedder_embedding_span_has_expected_attributes(
     )
     assert (response_documents := response["embedder"].get("documents")) is not None
     assert len(response_documents) == 2
-    assert "Argentina won the World Cup in 2022." == response_documents[0].content
+    assert "Argentina won the World Cup in 2022." == response_documents[0].text
     assert response_documents[0].embedding is not None
-    assert "France won the World Cup in 2018." == response_documents[1].content
+    assert "France won the World Cup in 2018." == response_documents[1].text
     assert response_documents[1].embedding is not None
 
     spans = in_memory_span_exporter.get_finished_spans()