feat (new llm): add support for openrouter (#3042)

2024-04-02 13:38:46 +03:00
parent e12a0c154c
commit 6b4c8e76e6
10 changed files with 272 additions and 0 deletions
--- a/api/tests/integration_tests/model_runtime/openrouter/test_llm.py
+++ b/api/tests/integration_tests/model_runtime/openrouter/test_llm.py
@@ -0,0 +1,118 @@
+import os
+from typing import Generator
+
+import pytest
+from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
+from core.model_runtime.entities.message_entities import (AssistantPromptMessage, PromptMessageTool,
+                                                          SystemPromptMessage, UserPromptMessage)
+from core.model_runtime.errors.validate import CredentialsValidateFailedError
+from core.model_runtime.model_providers.openrouter.llm.llm import OpenRouterLargeLanguageModel
+
+
+def test_validate_credentials():
+    model = OpenRouterLargeLanguageModel()
+
+    with pytest.raises(CredentialsValidateFailedError):
+        model.validate_credentials(
+            model='mistralai/mixtral-8x7b-instruct',
+            credentials={
+                'api_key': 'invalid_key',
+                'mode': 'chat'
+            }
+        )
+
+    model.validate_credentials(
+        model='mistralai/mixtral-8x7b-instruct',
+        credentials={
+            'api_key': os.environ.get('TOGETHER_API_KEY'),
+            'mode': 'chat'
+        }
+    )
+
+
+def test_invoke_model():
+    model = OpenRouterLargeLanguageModel()
+
+    response = model.invoke(
+        model='mistralai/mixtral-8x7b-instruct',
+        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 = OpenRouterLargeLanguageModel()
+
+    response = model.invoke(
+        model='mistralai/mixtral-8x7b-instruct',
+        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 = OpenRouterLargeLanguageModel()
+
+    num_tokens = model.get_num_tokens(
+        model='mistralai/mixtral-8x7b-instruct',
+        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