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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,
PromptMessageTool,
SystemPromptMessage,
UserPromptMessage,
)
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.oci.llm.llm import OCILargeLanguageModel
def test_validate_credentials():
model = OCILargeLanguageModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model="cohere.command-r-plus",
credentials={"oci_config_content": "invalid_key", "oci_key_content": "invalid_key"},
)
model.validate_credentials(
model="cohere.command-r-plus",
credentials={
"oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"),
"oci_key_content": os.environ.get("OCI_KEY_CONTENT"),
},
)
def test_invoke_model():
model = OCILargeLanguageModel()
response = model.invoke(
model="cohere.command-r-plus",
credentials={
"oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"),
"oci_key_content": os.environ.get("OCI_KEY_CONTENT"),
},
prompt_messages=[UserPromptMessage(content="Hi")],
model_parameters={"temperature": 0.5, "max_tokens": 10},
stop=["How"],
stream=False,
user="abc-123",
)
assert isinstance(response, LLMResult)
assert len(response.message.content) > 0
def test_invoke_stream_model():
model = OCILargeLanguageModel()
response = model.invoke(
model="meta.llama-3-70b-instruct",
credentials={
"oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"),
"oci_key_content": os.environ.get("OCI_KEY_CONTENT"),
},
prompt_messages=[UserPromptMessage(content="Hi")],
model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234},
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_invoke_model_with_function():
model = OCILargeLanguageModel()
response = model.invoke(
model="cohere.command-r-plus",
credentials={
"oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"),
"oci_key_content": os.environ.get("OCI_KEY_CONTENT"),
},
prompt_messages=[UserPromptMessage(content="Hi")],
model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234},
stream=False,
user="abc-123",
tools=[
PromptMessageTool(
name="get_current_weather",
description="Get the current weather in a given location",
parameters={
"type": "object",
"properties": {
"location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
},
"required": ["location"],
},
)
],
)
assert isinstance(response, LLMResult)
assert len(response.message.content) > 0
def test_get_num_tokens():
model = OCILargeLanguageModel()
num_tokens = model.get_num_tokens(
model="cohere.command-r-plus",
credentials={
"oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"),
"oci_key_content": os.environ.get("OCI_KEY_CONTENT"),
},
prompt_messages=[
SystemPromptMessage(
content="You are a helpful AI assistant.",
),
UserPromptMessage(content="Hello World!"),
],
)
assert num_tokens == 18
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