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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, SystemPromptMessage, UserPromptMessage
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.anthropic.llm.llm import AnthropicLargeLanguageModel
from tests.integration_tests.model_runtime.__mock.anthropic import setup_anthropic_mock
@pytest.mark.parametrize('setup_anthropic_mock', [['none']], indirect=True)
def test_validate_credentials(setup_anthropic_mock):
model = AnthropicLargeLanguageModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='claude-instant-1.2',
credentials={
'anthropic_api_key': 'invalid_key'
}
)
model.validate_credentials(
model='claude-instant-1.2',
credentials={
'anthropic_api_key': os.environ.get('ANTHROPIC_API_KEY')
}
)
@pytest.mark.parametrize('setup_anthropic_mock', [['none']], indirect=True)
def test_invoke_model(setup_anthropic_mock):
model = AnthropicLargeLanguageModel()
response = model.invoke(
model='claude-instant-1.2',
credentials={
'anthropic_api_key': os.environ.get('ANTHROPIC_API_KEY'),
'anthropic_api_url': os.environ.get('ANTHROPIC_API_URL')
},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
),
UserPromptMessage(
content='Hello World!'
)
],
model_parameters={
'temperature': 0.0,
'top_p': 1.0,
'max_tokens': 10
},
stop=['How'],
stream=False,
user="abc-123"
)
assert isinstance(response, LLMResult)
assert len(response.message.content) > 0
@pytest.mark.parametrize('setup_anthropic_mock', [['none']], indirect=True)
def test_invoke_stream_model(setup_anthropic_mock):
model = AnthropicLargeLanguageModel()
response = model.invoke(
model='claude-instant-1.2',
credentials={
'anthropic_api_key': os.environ.get('ANTHROPIC_API_KEY')
},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
),
UserPromptMessage(
content='Hello World!'
)
],
model_parameters={
'temperature': 0.0,
'max_tokens': 100
},
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 = AnthropicLargeLanguageModel()
num_tokens = model.get_num_tokens(
model='claude-instant-1.2',
credentials={
'anthropic_api_key': os.environ.get('ANTHROPIC_API_KEY')
},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
),
UserPromptMessage(
content='Hello World!'
)
]
)
assert num_tokens == 18
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