feat: add zhipuai (#1188)

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

@@ -0,0 +1,79 @@
+import json
+import os
+from unittest.mock import patch
+
+
+from core.model_providers.models.entity.message import PromptMessage, MessageType
+from core.model_providers.models.entity.model_params import ModelKwargs
+from core.model_providers.models.llm.zhipuai_model import ZhipuAIModel
+from core.model_providers.providers.zhipuai_provider import ZhipuAIProvider
+from models.provider import Provider, ProviderType
+
+
+def get_mock_provider(valid_api_key):
+    return Provider(
+        id='provider_id',
+        tenant_id='tenant_id',
+        provider_name='zhipuai',
+        provider_type=ProviderType.CUSTOM.value,
+        encrypted_config=json.dumps({
+            'api_key': valid_api_key
+        }),
+        is_valid=True,
+    )
+
+
+def get_mock_model(model_name: str, streaming: bool = False):
+    model_kwargs = ModelKwargs(
+        temperature=0.01,
+    )
+    valid_api_key = os.environ['ZHIPUAI_API_KEY']
+    model_provider = ZhipuAIProvider(provider=get_mock_provider(valid_api_key))
+    return ZhipuAIModel(
+        model_provider=model_provider,
+        name=model_name,
+        model_kwargs=model_kwargs,
+        streaming=streaming
+    )
+
+
+def decrypt_side_effect(tenant_id, encrypted_api_key):
+    return encrypted_api_key
+
+
+@patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect)
+def test_chat_get_num_tokens(mock_decrypt):
+    model = get_mock_model('chatglm_lite')
+    rst = model.get_num_tokens([
+        PromptMessage(type=MessageType.SYSTEM, content='you are a kindness Assistant.'),
+        PromptMessage(type=MessageType.HUMAN, content='Who is your manufacturer?')
+    ])
+    assert rst > 0
+
+
+@patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect)
+def test_chat_run(mock_decrypt, mocker):
+    mocker.patch('core.model_providers.providers.base.BaseModelProvider.update_last_used', return_value=None)
+
+    model = get_mock_model('chatglm_lite')
+    messages = [
+        PromptMessage(type=MessageType.HUMAN, content='Are you Human? you MUST only answer `y` or `n`?')
+    ]
+    rst = model.run(
+        messages,
+    )
+    assert len(rst.content) > 0
+
+
+@patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect)
+def test_chat_stream_run(mock_decrypt, mocker):
+    mocker.patch('core.model_providers.providers.base.BaseModelProvider.update_last_used', return_value=None)
+
+    model = get_mock_model('chatglm_lite', streaming=True)
+    messages = [
+        PromptMessage(type=MessageType.HUMAN, content='Are you Human? you MUST only answer `y` or `n`?')
+    ]
+    rst = model.run(
+        messages
+    )
+    assert len(rst.content) > 0