fix(memory): skip messages without a content key in message parsers (#5575)

tests/memory/test_memory_utils.py

@@ -1,10 +1,50 @@
 import pytest
 from unittest.mock import Mock
 
-from mem0.memory.utils import parse_vision_messages, remove_spaces_from_entities, sanitize_relationship_for_cypher
+from mem0.memory.utils import (
+    parse_messages,
+    parse_vision_messages,
+    remove_spaces_from_entities,
+    sanitize_relationship_for_cypher,
+)
+
+
+class TestParseMessages:
+    def test_skips_message_without_content_key(self):
+        # Reproduces #5067: a FunctionCalling assistant message carries
+        # `tool_calls` but no `content` key -> used to raise KeyError.
+        messages = [
+            {"role": "user", "content": "hi"},
+            {"role": "assistant", "tool_calls": [{"id": "1", "function": {"name": "search"}}]},
+            {"role": "assistant", "content": "done"},
+        ]
+        result = parse_messages(messages)
+        assert result == "user: hi\nassistant: done\n"
+
+    def test_skips_explicit_none_content(self):
+        messages = [{"role": "assistant", "content": None}, {"role": "user", "content": "ok"}]
+        assert parse_messages(messages) == "user: ok\n"
+
+    def test_plain_roles_pass_through(self):
+        messages = [
+            {"role": "system", "content": "sys"},
+            {"role": "user", "content": "u"},
+            {"role": "assistant", "content": "a"},
+        ]
+        assert parse_messages(messages) == "system: sys\nuser: u\nassistant: a\n"
 
 
 class TestParseVisionMessages:
+    def test_skips_message_without_content_key(self):
+        # Reproduces #5067 for the vision parser path.
+        messages = [
+            {"role": "user", "content": "hi"},
+            {"role": "assistant", "tool_calls": [{"id": "1", "function": {"name": "search"}}]},
+        ]
+        result = parse_vision_messages(messages, llm=None)
+        assert len(result) == 1
+        assert result[0] == {"role": "user", "content": "hi"}
+
     def test_multimodal_list_without_llm_extracts_text(self):
         messages = [
             {"role": "user", "content": [