# serializer version: 1
# name: test_all_entities[assist][conversation.gpt_3_5_turbo-entry]
  EntityRegistryEntrySnapshot({
    'aliases': list([
      None,
    ]),
    'area_id': None,
    'capabilities': None,
    'config_entry_id': <ANY>,
    'config_subentry_id': <ANY>,
    'device_class': None,
    'device_id': <ANY>,
    'disabled_by': None,
    'domain': 'conversation',
    'entity_category': None,
    'entity_id': 'conversation.gpt_3_5_turbo',
    'has_entity_name': True,
    'hidden_by': None,
    'icon': None,
    'id': <ANY>,
    'labels': set({
    }),
    'name': None,
    'object_id_base': None,
    'options': dict({
      'conversation': dict({
        'should_expose': False,
      }),
    }),
    'original_device_class': None,
    'original_icon': None,
    'original_name': None,
    'platform': 'litellm',
    'previous_unique_id': None,
    'suggested_object_id': None,
    'supported_features': <ConversationEntityFeature: 1>,
    'translation_key': None,
    'unique_id': 'ABCDEF',
    'unit_of_measurement': None,
  })
# ---
# name: test_all_entities[assist][conversation.gpt_3_5_turbo-state]
  StateSnapshot({
    'attributes': ReadOnlyDict({
      <EntityStateAttribute.FRIENDLY_NAME: 'friendly_name'>: 'gpt-3.5-turbo',
      <EntityStateAttribute.SUPPORTED_FEATURES: 'supported_features'>: <ConversationEntityFeature: 1>,
    }),
    'context': <ANY>,
    'entity_id': 'conversation.gpt_3_5_turbo',
    'last_changed': <ANY>,
    'last_reported': <ANY>,
    'last_updated': <ANY>,
    'state': 'unknown',
  })
# ---
# name: test_all_entities[no_assist][conversation.gpt_3_5_turbo-entry]
  EntityRegistryEntrySnapshot({
    'aliases': list([
      None,
    ]),
    'area_id': None,
    'capabilities': None,
    'config_entry_id': <ANY>,
    'config_subentry_id': <ANY>,
    'device_class': None,
    'device_id': <ANY>,
    'disabled_by': None,
    'domain': 'conversation',
    'entity_category': None,
    'entity_id': 'conversation.gpt_3_5_turbo',
    'has_entity_name': True,
    'hidden_by': None,
    'icon': None,
    'id': <ANY>,
    'labels': set({
    }),
    'name': None,
    'object_id_base': None,
    'options': dict({
      'conversation': dict({
        'should_expose': False,
      }),
    }),
    'original_device_class': None,
    'original_icon': None,
    'original_name': None,
    'platform': 'litellm',
    'previous_unique_id': None,
    'suggested_object_id': None,
    'supported_features': 0,
    'translation_key': None,
    'unique_id': 'ABCDEF',
    'unit_of_measurement': None,
  })
# ---
# name: test_all_entities[no_assist][conversation.gpt_3_5_turbo-state]
  StateSnapshot({
    'attributes': ReadOnlyDict({
      <EntityStateAttribute.FRIENDLY_NAME: 'friendly_name'>: 'gpt-3.5-turbo',
      <EntityStateAttribute.SUPPORTED_FEATURES: 'supported_features'>: <ConversationEntityFeature: 0>,
    }),
    'context': <ANY>,
    'entity_id': 'conversation.gpt_3_5_turbo',
    'last_changed': <ANY>,
    'last_reported': <ANY>,
    'last_updated': <ANY>,
    'state': 'unknown',
  })
# ---
# name: test_default_prompt
  list([
    dict({
      'attachments': None,
      'content': 'hello',
      'created': HAFakeDatetime(2024, 5, 24, 12, 0, tzinfo=datetime.timezone.utc),
      'role': 'user',
    }),
    dict({
      'agent_id': 'conversation.gpt_3_5_turbo',
      'content': 'Hello, how can I help you?',
      'created': HAFakeDatetime(2024, 5, 24, 12, 0, tzinfo=datetime.timezone.utc),
      'native': None,
      'role': 'assistant',
      'thinking_content': None,
      'tool_calls': None,
    }),
  ])
# ---
# name: test_function_call[True]
  list([
    dict({
      'attachments': None,
      'content': 'What time is it?',
      'created': HAFakeDatetime(2024, 5, 24, 12, 0, tzinfo=datetime.timezone.utc),
      'role': 'user',
    }),
    dict({
      'agent_id': 'conversation.gpt_3_5_turbo',
      'content': None,
      'created': HAFakeDatetime(2024, 5, 24, 12, 0, tzinfo=datetime.timezone.utc),
      'native': None,
      'role': 'assistant',
      'thinking_content': None,
      'tool_calls': list([
        dict({
          'external': True,
          'id': 'mock_tool_call_id',
          'tool_args': dict({
          }),
          'tool_name': 'HassGetCurrentTime',
        }),
      ]),
    }),
    dict({
      'agent_id': 'conversation.gpt_3_5_turbo',
      'created': HAFakeDatetime(2024, 5, 24, 12, 0, tzinfo=datetime.timezone.utc),
      'result': dict({
        'data': dict({
          'data': dict({
            'failed': list([
            ]),
            'success': list([
            ]),
          }),
          'response_type': 'action_done',
          'speech': dict({
            'plain': dict({
              'extra_data': None,
              'speech': '12:00 PM',
            }),
          }),
          'speech_slots': dict({
            'time': datetime.time(12, 0),
          }),
        }),
        'error': False,
      }),
      'role': 'tool_result',
      'tool_call_id': 'mock_tool_call_id',
      'tool_name': 'HassGetCurrentTime',
    }),
    dict({
      'agent_id': 'conversation.gpt_3_5_turbo',
      'content': '12:00 PM',
      'created': HAFakeDatetime(2024, 5, 24, 12, 0, tzinfo=datetime.timezone.utc),
      'native': None,
      'role': 'assistant',
      'thinking_content': None,
      'tool_calls': None,
    }),
    dict({
      'attachments': None,
      'content': 'Please call the test function',
      'created': HAFakeDatetime(2024, 5, 24, 12, 0, tzinfo=datetime.timezone.utc),
      'role': 'user',
    }),
    dict({
      'agent_id': 'conversation.gpt_3_5_turbo',
      'content': None,
      'created': HAFakeDatetime(2024, 5, 24, 12, 0, tzinfo=datetime.timezone.utc),
      'native': None,
      'role': 'assistant',
      'thinking_content': None,
      'tool_calls': list([
        dict({
          'external': False,
          'id': 'call_call_1',
          'tool_args': dict({
            'param1': 'call1',
          }),
          'tool_name': 'test_tool',
        }),
      ]),
    }),
    dict({
      'agent_id': 'conversation.gpt_3_5_turbo',
      'created': HAFakeDatetime(2024, 5, 24, 12, 0, tzinfo=datetime.timezone.utc),
      'result': dict({
        'data': 'value1',
        'error': False,
      }),
      'role': 'tool_result',
      'tool_call_id': 'call_call_1',
      'tool_name': 'test_tool',
    }),
    dict({
      'agent_id': 'conversation.gpt_3_5_turbo',
      'content': 'I have successfully called the function',
      'created': HAFakeDatetime(2024, 5, 24, 12, 0, tzinfo=datetime.timezone.utc),
      'native': None,
      'role': 'assistant',
      'thinking_content': None,
      'tool_calls': None,
    }),
  ])
# ---
# name: test_function_call[True].1
  list([
    dict({
      'content': '''
        You are a helpful assistant.
        Only if the user wants to control a device, tell them to expose entities to their voice assistant in Home Assistant.
      ''',
      'role': 'system',
    }),
    dict({
      'content': 'What time is it?',
      'role': 'user',
    }),
    dict({
      'content': None,
      'role': 'assistant',
      'tool_calls': list([
        dict({
          'function': dict({
            'arguments': '{}',
            'name': 'HassGetCurrentTime',
          }),
          'id': 'mock_tool_call_id',
          'type': 'function',
        }),
      ]),
    }),
    dict({
      'content': '{"data":{"speech":{"plain":{"speech":"12:00 PM","extra_data":null}},"response_type":"action_done","speech_slots":{"time":"12:00:00"},"data":{"success":[],"failed":[]}},"error":false}',
      'role': 'tool',
      'tool_call_id': 'mock_tool_call_id',
    }),
    dict({
      'content': '12:00 PM',
      'role': 'assistant',
    }),
    dict({
      'content': 'Please call the test function',
      'role': 'user',
    }),
    dict({
      'content': None,
      'role': 'assistant',
      'tool_calls': list([
        dict({
          'function': dict({
            'arguments': '{"param1":"call1"}',
            'name': 'test_tool',
          }),
          'id': 'call_call_1',
          'type': 'function',
        }),
      ]),
    }),
    dict({
      'content': '{"data":"value1","error":false}',
      'role': 'tool',
      'tool_call_id': 'call_call_1',
    }),
    dict({
      'content': 'I have successfully called the function',
      'role': 'assistant',
    }),
  ])
# ---