Add Stepfun LLM Support (#6346)

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

@@ -0,0 +1,176 @@
+import os
+from collections.abc import Generator
+
+import pytest
+
+from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
+from core.model_runtime.entities.message_entities import (
+    AssistantPromptMessage,
+    ImagePromptMessageContent,
+    PromptMessageTool,
+    SystemPromptMessage,
+    TextPromptMessageContent,
+    UserPromptMessage,
+)
+from core.model_runtime.entities.model_entities import AIModelEntity, ModelType
+from core.model_runtime.errors.validate import CredentialsValidateFailedError
+from core.model_runtime.model_providers.stepfun.llm.llm import StepfunLargeLanguageModel
+
+
+def test_validate_credentials():
+    model = StepfunLargeLanguageModel()
+
+    with pytest.raises(CredentialsValidateFailedError):
+        model.validate_credentials(
+            model='step-1-8k',
+            credentials={
+                'api_key': 'invalid_key'
+            }
+        )
+
+    model.validate_credentials(
+        model='step-1-8k',
+        credentials={
+            'api_key': os.environ.get('STEPFUN_API_KEY')
+        }
+    )
+
+def test_invoke_model():
+    model = StepfunLargeLanguageModel()
+
+    response = model.invoke(
+        model='step-1-8k',
+        credentials={
+            'api_key': os.environ.get('STEPFUN_API_KEY')
+        },
+        prompt_messages=[
+            UserPromptMessage(
+                content='Hello World!'
+            )
+        ],
+        model_parameters={
+            'temperature': 0.9,
+            'top_p': 0.7
+        },
+        stop=['Hi'],
+        stream=False,
+        user="abc-123"
+    )
+
+    assert isinstance(response, LLMResult)
+    assert len(response.message.content) > 0
+
+
+def test_invoke_stream_model():
+    model = StepfunLargeLanguageModel()
+
+    response = model.invoke(
+        model='step-1-8k',
+        credentials={
+            'api_key': os.environ.get('STEPFUN_API_KEY')
+        },
+        prompt_messages=[
+            SystemPromptMessage(
+                content='You are a helpful AI assistant.',
+            ),
+            UserPromptMessage(
+                content='Hello World!'
+            )
+        ],
+        model_parameters={
+            'temperature': 0.9,
+            'top_p': 0.7
+        },
+        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)
+        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
+
+
+def test_get_customizable_model_schema():
+    model = StepfunLargeLanguageModel()
+
+    schema = model.get_customizable_model_schema(
+        model='step-1-8k',
+        credentials={
+            'api_key': os.environ.get('STEPFUN_API_KEY')
+        }
+    )
+    assert isinstance(schema, AIModelEntity)
+
+
+def test_invoke_chat_model_with_tools():
+    model = StepfunLargeLanguageModel()
+
+    result = model.invoke(
+        model='step-1-8k',
+        credentials={
+            'api_key': os.environ.get('STEPFUN_API_KEY')
+        },
+        prompt_messages=[
+            SystemPromptMessage(
+                content='You are a helpful AI assistant.',
+            ),
+            UserPromptMessage(
+                content="what's the weather today in Shanghai?",
+            )
+        ],
+        model_parameters={
+            'temperature': 0.9,
+            'max_tokens': 100
+        },
+        tools=[
+            PromptMessageTool(
+                name='get_weather',
+                description='Determine weather in my location',
+                parameters={
+                    "type": "object",
+                    "properties": {
+                      "location": {
+                        "type": "string",
+                        "description": "The city and state e.g. San Francisco, CA"
+                      },
+                      "unit": {
+                        "type": "string",
+                        "enum": [
+                          "c",
+                          "f"
+                        ]
+                      }
+                    },
+                    "required": [
+                      "location"
+                    ]
+                  }
+            ),
+            PromptMessageTool(
+                name='get_stock_price',
+                description='Get the current stock price',
+                parameters={
+                    "type": "object",
+                    "properties": {
+                      "symbol": {
+                        "type": "string",
+                        "description": "The stock symbol"
+                      }
+                    },
+                    "required": [
+                      "symbol"
+                    ]
+                  }
+            )
+        ],
+        stream=False,
+        user="abc-123"
+    )
+
+    assert isinstance(result, LLMResult)
+    assert isinstance(result.message, AssistantPromptMessage)
+    assert len(result.message.tool_calls) > 0