Model Runtime (#1858)

Co-authored-by: StyleZhang <jasonapring2015@outlook.com>
Co-authored-by: Garfield Dai <dai.hai@foxmail.com>
Co-authored-by: chenhe <guchenhe@gmail.com>
Co-authored-by: jyong <jyong@dify.ai>
Co-authored-by: Joel <iamjoel007@gmail.com>
Co-authored-by: Yeuoly <admin@srmxy.cn>

api/tests/integration_tests/model_runtime/replicate/test_llm.py

@@ -0,0 +1,119 @@
+import os
+from typing import Generator
+
+import pytest
+
+from core.model_runtime.entities.message_entities import SystemPromptMessage, UserPromptMessage, AssistantPromptMessage
+from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, \
+    LLMResultChunkDelta
+from core.model_runtime.errors.validate import CredentialsValidateFailedError
+from core.model_runtime.model_providers.replicate.llm.llm import ReplicateLargeLanguageModel
+
+
+def test_validate_credentials():
+    model = ReplicateLargeLanguageModel()
+
+    with pytest.raises(CredentialsValidateFailedError):
+        model.validate_credentials(
+            model='meta/llama-2-13b-chat',
+            credentials={
+                'replicate_api_token': 'invalid_key',
+                'model_version': 'f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d'
+            }
+        )
+
+    model.validate_credentials(
+        model='meta/llama-2-13b-chat',
+        credentials={
+            'replicate_api_token': os.environ.get('REPLICATE_API_KEY'),
+            'model_version': 'f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d'
+        }
+    )
+
+
+def test_invoke_model():
+    model = ReplicateLargeLanguageModel()
+
+    response = model.invoke(
+        model='meta/llama-2-13b-chat',
+        credentials={
+            'replicate_api_token': os.environ.get('REPLICATE_API_KEY'),
+            'model_version': 'f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d'
+        },
+        prompt_messages=[
+            SystemPromptMessage(
+                content='You are a helpful AI assistant.',
+            ),
+            UserPromptMessage(
+                content='Who are you?'
+            )
+        ],
+        model_parameters={
+            'temperature': 1.0,
+            'top_k': 2,
+            'top_p': 0.5,
+        },
+        stop=['How'],
+        stream=False,
+        user="abc-123"
+    )
+
+    assert isinstance(response, LLMResult)
+    assert len(response.message.content) > 0
+
+
+def test_invoke_stream_model():
+    model = ReplicateLargeLanguageModel()
+
+    response = model.invoke(
+        model='mistralai/mixtral-8x7b-instruct-v0.1',
+        credentials={
+            'replicate_api_token': os.environ.get('REPLICATE_API_KEY'),
+            'model_version': '2b56576fcfbe32fa0526897d8385dd3fb3d36ba6fd0dbe033c72886b81ade93e'
+        },
+        prompt_messages=[
+            SystemPromptMessage(
+                content='You are a helpful AI assistant.',
+            ),
+            UserPromptMessage(
+                content='Who are you?'
+            )
+        ],
+        model_parameters={
+            'temperature': 1.0,
+            'top_k': 2,
+            'top_p': 0.5,
+        },
+        stop=['How'],
+        stream=True,
+        user="abc-123"
+    )
+
+    assert isinstance(response, Generator)
+
+    for chunk in response:
+        assert isinstance(chunk, LLMResultChunk)
+        assert isinstance(chunk.delta, LLMResultChunkDelta)
+        assert isinstance(chunk.delta.message, AssistantPromptMessage)
+
+
+def test_get_num_tokens():
+    model = ReplicateLargeLanguageModel()
+
+    num_tokens = model.get_num_tokens(
+        model='',
+        credentials={
+            'replicate_api_token': os.environ.get('REPLICATE_API_KEY'),
+            'model_version': '2b56576fcfbe32fa0526897d8385dd3fb3d36ba6fd0dbe033c72886b81ade93e'
+        },
+        prompt_messages=[
+            SystemPromptMessage(
+                content='You are a helpful AI assistant.',
+            ),
+            UserPromptMessage(
+                content='Hello World!'
+            )
+        ]
+    )
+
+    assert num_tokens == 14