feat: support gpt-3.5-turbo-instruct model (#1195)

api/constants/model_template.py

         },
         'model_config': {
             'provider': 'openai',
-            'model_id': 'text-davinci-003',
+            'model_id': 'gpt-3.5-turbo-instruct',
             'configs': {
                 'prompt_template': '',
                 'prompt_variables': [],
             },
             'model': json.dumps({
                 "provider": "openai",
-                "name": "text-davinci-003",
+                "name": "gpt-3.5-turbo-instruct",
                 "completion_params": {
                     "max_tokens": 512,
                     "temperature": 1,
             'mode': 'completion',
             'model_config': AppModelConfig(
                 provider='openai',
-                model_id='text-davinci-003',
+                model_id='gpt-3.5-turbo-instruct',
                 configs={
                     'prompt_template': "Please translate the following text into {{target_language}}:\n",
                     'prompt_variables': [
                 pre_prompt="Please translate the following text into {{target_language}}:\n",
                 model=json.dumps({
                     "provider": "openai",
-                    "name": "text-davinci-003",
+                    "name": "gpt-3.5-turbo-instruct",
                     "completion_params": {
                         "max_tokens": 1000,
                         "temperature": 0,
             'mode': 'completion',
             'model_config': AppModelConfig(
                 provider='openai',
-                model_id='text-davinci-003',
+                model_id='gpt-3.5-turbo-instruct',
                 configs={
                     'prompt_template': "请将以下文本翻译为{{target_language}}:\n",
                     'prompt_variables': [
                 pre_prompt="请将以下文本翻译为{{target_language}}:\n",
                 model=json.dumps({
                     "provider": "openai",
-                    "name": "text-davinci-003",
+                    "name": "gpt-3.5-turbo-instruct",
                     "completion_params": {
                         "max_tokens": 1000,
                         "temperature": 0,

api/core/model_providers/models/llm/openai_model.py

 from models.provider import ProviderType, ProviderQuotaType
 
 COMPLETION_MODELS = [
+    'gpt-3.5-turbo-instruct',  # 4,096 tokens
     'text-davinci-003',  # 4,097 tokens
 ]
 
     'gpt-4': 8192,
     'gpt-4-32k': 32768,
     'gpt-3.5-turbo': 4096,
+    'gpt-3.5-turbo-instruct': 4096,
     'gpt-3.5-turbo-16k': 16384,
     'text-davinci-003': 4097,
 }

api/core/model_providers/providers/openai_provider.py

                         ModelFeature.AGENT_THOUGHT.value
                     ]
                 },
+                {
+                    'id': 'gpt-3.5-turbo-instruct',
+                    'name': 'GPT-3.5-Turbo-Instruct',
+                },
                 {
                     'id': 'gpt-3.5-turbo-16k',
                     'name': 'gpt-3.5-turbo-16k',
             'gpt-4': 8192,
             'gpt-4-32k': 32768,
             'gpt-3.5-turbo': 4096,
+            'gpt-3.5-turbo-instruct': 4096,
             'gpt-3.5-turbo-16k': 16384,
             'text-davinci-003': 4097,
         }

api/core/model_providers/rules/openai.json

             "unit": "0.001",
             "currency": "USD"
         },
+        "gpt-3.5-turbo-instruct": {
+            "prompt": "0.0015",
+            "completion": "0.002",
+            "unit": "0.001",
+            "currency": "USD"
+        },
         "gpt-3.5-turbo-16k": {
             "prompt": "0.003",
             "completion": "0.004",

api/core/third_party/langchain/llms/open_ai.py

     max_retries: int = 1
     """Maximum number of retries to make when generating."""
 
+    def __new__(cls, **data: Any):  # type: ignore
+        return super(EnhanceOpenAI, cls).__new__(cls)
+
     @root_validator()
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""

api/requirements.txt

 gunicorn~=21.2.0
 gevent~=22.10.2
 langchain==0.0.250
-openai~=0.27.8
+openai~=0.28.0
 psycopg2-binary~=2.9.6
 pycryptodome==3.17
 python-dotenv==1.0.0

api/tests/integration_tests/models/llm/test_openai_model.py

 
 @patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect)
 def test_get_num_tokens(mock_decrypt):
-    openai_model = get_mock_openai_model('text-davinci-003')
+    openai_model = get_mock_openai_model('gpt-3.5-turbo-instruct')
     rst = openai_model.get_num_tokens([PromptMessage(content='you are a kindness Assistant.')])
     assert rst == 6
 
 def test_run(mock_decrypt, mocker):
     mocker.patch('core.model_providers.providers.base.BaseModelProvider.update_last_used', return_value=None)
 
-    openai_model = get_mock_openai_model('text-davinci-003')
+    openai_model = get_mock_openai_model('gpt-3.5-turbo-instruct')
     rst = openai_model.run(
         [PromptMessage(content='Human: Are you Human? you MUST only answer `y` or `n`? \nAssistant: ')],
         stop=['\nHuman:'],