Add Together.ai's OpenAI API-compatible inference endpoints (#1947)

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

@@ -39,13 +39,15 @@ def test_invoke_model(setup_openai_mock):
         },
         texts=[
             "hello",
-            "world"
+            "world",
+            " ".join(["long_text"] * 100),
+            " ".join(["another_long_text"] * 100)
         ],
         user="abc-123"
     )
 
     assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
+    assert len(result.embeddings) == 4
     assert result.usage.total_tokens == 2
 
 

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

@@ -46,14 +46,16 @@ def test_invoke_model():
         },
         texts=[
             "hello",
-            "world"
+            "world",
+            " ".join(["long_text"] * 100),
+            " ".join(["another_long_text"] * 100)
         ],
         user="abc-123"
     )
 
     assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 2
+    assert len(result.embeddings) == 4
+    assert result.usage.total_tokens == 502
 
 
 def test_get_num_tokens():

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

@@ -0,0 +1,117 @@
+import os
+from typing import Generator
+
+import pytest
+
+from core.model_runtime.entities.message_entities import AssistantPromptMessage, UserPromptMessage, \
+    SystemPromptMessage, PromptMessageTool
+from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunkDelta, \
+    LLMResultChunk
+from core.model_runtime.errors.validate import CredentialsValidateFailedError
+from core.model_runtime.model_providers.togetherai.llm.llm import TogetherAILargeLanguageModel
+
+
+def test_validate_credentials():
+    model = TogetherAILargeLanguageModel()
+
+    with pytest.raises(CredentialsValidateFailedError):
+        model.validate_credentials(
+            model='mistralai/Mixtral-8x7B-Instruct-v0.1',
+            credentials={
+                'api_key': 'invalid_key',
+                'mode': 'chat'
+            }
+        )
+
+    model.validate_credentials(
+        model='mistralai/Mixtral-8x7B-Instruct-v0.1',
+        credentials={
+            'api_key': os.environ.get('TOGETHER_API_KEY'),
+            'mode': 'chat'
+        }
+    )
+
+def test_invoke_model():
+    model = TogetherAILargeLanguageModel()
+
+    response = model.invoke(
+        model='mistralai/Mixtral-8x7B-Instruct-v0.1',
+        credentials={
+            'api_key': os.environ.get('TOGETHER_API_KEY'),
+            'mode': 'completion'
+        },
+        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 = TogetherAILargeLanguageModel()
+
+    response = model.invoke(
+        model='mistralai/Mixtral-8x7B-Instruct-v0.1',
+        credentials={
+            'api_key': os.environ.get('TOGETHER_API_KEY'),
+            'mode': 'chat'
+        },
+        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 = TogetherAILargeLanguageModel()
+
+    num_tokens = model.get_num_tokens(
+        model='mistralai/Mixtral-8x7B-Instruct-v0.1',
+        credentials={
+            'api_key': os.environ.get('TOGETHER_API_KEY'),
+        },
+        prompt_messages=[
+            SystemPromptMessage(
+                content='You are a helpful AI assistant.',
+            ),
+            UserPromptMessage(
+                content='Hello World!'
+            )
+        ]
+    )
+
+    assert isinstance(num_tokens, int)
+    assert num_tokens == 21