| 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, UserPromptMessage |
| from core.model_runtime.errors.validate import CredentialsValidateFailedError |
| from core.model_runtime.model_providers.openllm.llm.llm import OpenLLMLargeLanguageModel |
|
|
|
|
| def test_validate_credentials_for_chat_model(): |
| model = OpenLLMLargeLanguageModel() |
|
|
| with pytest.raises(CredentialsValidateFailedError): |
| model.validate_credentials( |
| model="NOT IMPORTANT", |
| credentials={ |
| "server_url": "invalid_key", |
| }, |
| ) |
|
|
| model.validate_credentials( |
| model="NOT IMPORTANT", |
| credentials={ |
| "server_url": os.environ.get("OPENLLM_SERVER_URL"), |
| }, |
| ) |
|
|
|
|
| def test_invoke_model(): |
| model = OpenLLMLargeLanguageModel() |
|
|
| response = model.invoke( |
| model="NOT IMPORTANT", |
| credentials={ |
| "server_url": os.environ.get("OPENLLM_SERVER_URL"), |
| }, |
| prompt_messages=[UserPromptMessage(content="Hello World!")], |
| model_parameters={ |
| "temperature": 0.7, |
| "top_p": 1.0, |
| "top_k": 1, |
| }, |
| stop=["you"], |
| user="abc-123", |
| stream=False, |
| ) |
|
|
| assert isinstance(response, LLMResult) |
| assert len(response.message.content) > 0 |
| assert response.usage.total_tokens > 0 |
|
|
|
|
| def test_invoke_stream_model(): |
| model = OpenLLMLargeLanguageModel() |
|
|
| response = model.invoke( |
| model="NOT IMPORTANT", |
| credentials={ |
| "server_url": os.environ.get("OPENLLM_SERVER_URL"), |
| }, |
| prompt_messages=[UserPromptMessage(content="Hello World!")], |
| model_parameters={ |
| "temperature": 0.7, |
| "top_p": 1.0, |
| "top_k": 1, |
| }, |
| stop=["you"], |
| 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_num_tokens(): |
| model = OpenLLMLargeLanguageModel() |
|
|
| response = model.get_num_tokens( |
| model="NOT IMPORTANT", |
| credentials={ |
| "server_url": os.environ.get("OPENLLM_SERVER_URL"), |
| }, |
| prompt_messages=[UserPromptMessage(content="Hello World!")], |
| tools=[], |
| ) |
|
|
| assert isinstance(response, int) |
| assert response == 3 |
|
|