diff --git a/lib/crewai/src/crewai/utilities/converter.py b/lib/crewai/src/crewai/utilities/converter.py
index a628225d7..feee92dd6 100644
--- a/lib/crewai/src/crewai/utilities/converter.py
+++ b/lib/crewai/src/crewai/utilities/converter.py
@@ -10,9 +10,9 @@ from pydantic import BaseModel, ValidationError
 from typing_extensions import Unpack
 
 from crewai.agents.agent_builder.utilities.base_output_converter import OutputConverter
+from crewai.utilities.i18n import get_i18n
 from crewai.utilities.internal_instructor import InternalInstructor
 from crewai.utilities.printer import Printer
-from crewai.utilities.pydantic_schema_parser import PydanticSchemaParser
 
 
 if TYPE_CHECKING:
@@ -22,6 +22,7 @@ if TYPE_CHECKING:
     from crewai.llms.base_llm import BaseLLM
 
 _JSON_PATTERN: Final[re.Pattern[str]] = re.compile(r"({.*})", re.DOTALL)
+_I18N = get_i18n()
 
 
 class ConverterError(Exception):
@@ -335,26 +336,9 @@ def get_conversion_instructions(
     Returns:
 
     """
-    instructions = "Please convert the following text into valid JSON."
-    if (
-        llm
-        and not isinstance(llm, str)
-        and hasattr(llm, "supports_function_calling")
-        and llm.supports_function_calling()
-    ):
-        model_schema = PydanticSchemaParser(model=model).get_schema()
-        instructions += (
-            f"\n\nOutput ONLY the valid JSON and nothing else.\n\n"
-            f"Use this format exactly:\n```json\n{model_schema}\n```"
-        )
-    else:
-        model_description = generate_model_description(model)
-        schema_json = json.dumps(model_description["json_schema"]["schema"], indent=2)
-        instructions += (
-            f"\n\nOutput ONLY the valid JSON and nothing else.\n\n"
-            f"Use this format exactly:\n```json\n{schema_json}\n```"
-        )
-    return instructions
+    schema_dict = generate_model_description(model)
+    schema = json.dumps(schema_dict, indent=2)
+    return _I18N.slice("formatted_task_instructions").format(output_format=schema)
 
 
 class CreateConverterKwargs(TypedDict, total=False):
diff --git a/lib/crewai/tests/conftest.py b/lib/crewai/tests/conftest.py
index aa7c08092..85b0c4e8d 100644
--- a/lib/crewai/tests/conftest.py
+++ b/lib/crewai/tests/conftest.py
@@ -13,6 +13,8 @@ load_result = load_dotenv(override=True)
 @pytest.fixture(autouse=True)
 def setup_test_environment():
     """Set up test environment with a temporary directory for SQLite storage."""
+    import shutil
+
     with tempfile.TemporaryDirectory() as temp_dir:
         # Create the directory with proper permissions
         storage_dir = Path(temp_dir) / "crewai_test_storage"
@@ -40,7 +42,9 @@ def setup_test_environment():
         yield
 
         os.environ.pop("CREWAI_TESTING", None)
-        # Cleanup is handled automatically when tempfile context exits
+        # Force cleanup of storage directory before tempfile context exits
+        if storage_dir.exists():
+            shutil.rmtree(storage_dir, ignore_errors=True)
 
 
 def pytest_configure(config):
diff --git a/lib/crewai/tests/utilities/test_converter.py b/lib/crewai/tests/utilities/test_converter.py
index 1ef970a8d..16519ebcd 100644
--- a/lib/crewai/tests/utilities/test_converter.py
+++ b/lib/crewai/tests/utilities/test_converter.py
@@ -227,28 +227,22 @@ def test_get_conversion_instructions_gpt() -> None:
     with patch.object(LLM, "supports_function_calling") as supports_function_calling:
         supports_function_calling.return_value = True
         instructions = get_conversion_instructions(SimpleModel, llm)
-        model_schema = PydanticSchemaParser(model=SimpleModel).get_schema()
-        expected_instructions = (
-            "Please convert the following text into valid JSON.\n\n"
-            "Output ONLY the valid JSON and nothing else.\n\n"
-            "Use this format exactly:\n```json\n"
-            f"{model_schema}\n```"
-        )
-        assert instructions == expected_instructions
+        assert "Ensure your final answer strictly adheres to the following OpenAPI schema:" in instructions
+        assert "Do not include the OpenAPI schema in the final output" in instructions
+        assert "json_schema" in instructions
+        assert '"name": "SimpleModel"' in instructions
+        assert '"strict": true' in instructions
 
 
 def test_get_conversion_instructions_non_gpt() -> None:
     llm = LLM(model="ollama/llama3.1", base_url="http://localhost:11434")
     with patch.object(LLM, "supports_function_calling", return_value=False):
         instructions = get_conversion_instructions(SimpleModel, llm)
-        # Check that the JSON schema is properly formatted
-        assert "Please convert the following text into valid JSON" in instructions
-        assert "Output ONLY the valid JSON and nothing else" in instructions
-        assert "Use this format exactly" in instructions
-        assert "```json" in instructions
-        assert '"type": "object"' in instructions
-        assert '"properties"' in instructions
-        assert "'type': 'json_schema'" not in instructions
+        assert "Ensure your final answer strictly adheres to the following OpenAPI schema:" in instructions
+        assert "Do not include the OpenAPI schema in the final output" in instructions
+        assert "json_schema" in instructions
+        assert '"name": "SimpleModel"' in instructions
+        assert '"strict": true' in instructions
 
 
 # Tests for is_gpt