Fix fail llama test (#2819)

* Changed test case

* Addd new interaction with llama

* fixed linting issue

* Gemma Flaky test case

* Gemma Flaky test case

* Minor change

* Minor change

* Dropped API key

* Removed falky test case check file

tests/utilities/test_converter.py

@@ -1,5 +1,4 @@
 import json
-import os
 from typing import Dict, List, Optional
 from unittest.mock import MagicMock, Mock, patch
 
@@ -19,6 +18,8 @@ from crewai.utilities.converter import (
     validate_model,
 )
 from crewai.utilities.pydantic_schema_parser import PydanticSchemaParser
+# Tests for enums
+from enum import Enum
 
 
 @pytest.fixture(scope="module")
@@ -359,7 +360,7 @@ def test_convert_with_instructions():
 
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_converter_with_llama3_2_model():
-    llm = LLM(model="ollama/llama3.2:3b", base_url="http://localhost:11434")
+    llm = LLM(model="openrouter/meta-llama/llama-3.2-3b-instruct")
     sample_text = "Name: Alice Llama, Age: 30"
     instructions = get_conversion_instructions(SimpleModel, llm)
     converter = Converter(
@@ -431,7 +432,7 @@ def test_converter_error_handling():
     )
 
     with pytest.raises(ConverterError) as exc_info:
-        output = converter.to_pydantic()
+        converter.to_pydantic()
 
     assert "Failed to convert text into a Pydantic model" in str(exc_info.value)
 
@@ -515,10 +516,6 @@ def test_converter_with_list_field():
     assert output.items == [1, 2, 3]
 
 
-# Tests for enums
-from enum import Enum
-
-
 def test_converter_with_enum():
     class Color(Enum):
         RED = "red"
@@ -565,7 +562,7 @@ def test_converter_with_ambiguous_input():
     )
 
     with pytest.raises(ConverterError) as exc_info:
-        output = converter.to_pydantic()
+        converter.to_pydantic()
 
     assert "failed to convert text into a pydantic model" in str(exc_info.value).lower()