feat: add text-embedding functon and LLM models to Siliconflow (#7090)

api/tests/integration_tests/model_runtime/siliconflow/test_text_embedding.py

@@ -0,0 +1,62 @@
+import os
+
+import pytest
+
+from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
+from core.model_runtime.errors.validate import CredentialsValidateFailedError
+from core.model_runtime.model_providers.siliconflow.text_embedding.text_embedding import (
+    SiliconflowTextEmbeddingModel,
+)
+
+
+def test_validate_credentials():
+    model = SiliconflowTextEmbeddingModel()
+
+    with pytest.raises(CredentialsValidateFailedError):
+        model.validate_credentials(
+            model="BAAI/bge-large-zh-v1.5",
+            credentials={
+                "api_key": "invalid_key"
+            },
+        )
+
+    model.validate_credentials(
+        model="BAAI/bge-large-zh-v1.5",
+        credentials={
+            "api_key": os.environ.get("API_KEY"),
+        },
+    )
+
+
+def test_invoke_model():
+    model = SiliconflowTextEmbeddingModel()
+
+    result = model.invoke(
+        model="BAAI/bge-large-zh-v1.5",
+        credentials={
+            "api_key": os.environ.get("API_KEY"),
+        },
+        texts=[
+            "hello",
+            "world",
+        ],
+        user="abc-123",
+    )
+
+    assert isinstance(result, TextEmbeddingResult)
+    assert len(result.embeddings) == 2
+    assert result.usage.total_tokens == 6
+
+
+def test_get_num_tokens():
+    model = SiliconflowTextEmbeddingModel()
+
+    num_tokens = model.get_num_tokens(
+        model="BAAI/bge-large-zh-v1.5",
+        credentials={
+            "api_key": os.environ.get("API_KEY"),
+        },
+        texts=["hello", "world"],
+    )
+
+    assert num_tokens == 2