130 lines
4.7 KiB
Python
130 lines
4.7 KiB
Python
"""
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Tests for v0 provider integration
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"""
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import os
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from unittest import mock
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import pytest
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import litellm
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from litellm import completion
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from litellm.llms.v0.chat.transformation import V0ChatConfig
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def test_v0_config_initialization():
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"""Test V0ChatConfig initializes correctly"""
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config = V0ChatConfig()
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assert config.custom_llm_provider == "v0"
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def test_v0_get_openai_compatible_provider_info():
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"""Test v0 provider info retrieval"""
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config = V0ChatConfig()
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# Test with default values (no env vars set)
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with mock.patch.dict(os.environ, {}, clear=True):
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api_base, api_key = config._get_openai_compatible_provider_info(None, None)
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assert api_base == "https://api.v0.dev/v1"
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assert api_key is None
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# Test with environment variables
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with mock.patch.dict(os.environ, {"V0_API_KEY": "test-key", "V0_API_BASE": "https://custom.v0.ai/v1"}):
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api_base, api_key = config._get_openai_compatible_provider_info(None, None)
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assert api_base == "https://custom.v0.ai/v1"
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assert api_key == "test-key"
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# Test with explicit parameters (should override env vars)
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with mock.patch.dict(os.environ, {"V0_API_KEY": "env-key", "V0_API_BASE": "https://env.v0.ai/v1"}):
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api_base, api_key = config._get_openai_compatible_provider_info(
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"https://param.v0.ai/v1", "param-key"
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)
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assert api_base == "https://param.v0.ai/v1"
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assert api_key == "param-key"
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def test_get_llm_provider_v0():
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"""Test that get_llm_provider correctly identifies v0"""
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from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
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# Test with v0/model-name format
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model, provider, api_key, api_base = get_llm_provider("v0/gpt-4-turbo")
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assert model == "gpt-4-turbo"
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assert provider == "v0"
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# Test with api_base containing v0 endpoint
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model, provider, api_key, api_base = get_llm_provider(
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"gpt-4-turbo", api_base="https://api.v0.dev/v1"
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)
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assert model == "gpt-4-turbo"
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assert provider == "v0"
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assert api_base == "https://api.v0.dev/v1"
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def test_v0_in_provider_lists():
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"""Test that v0 is registered in all necessary provider lists"""
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assert "v0" in litellm.openai_compatible_providers
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assert "v0" in litellm.provider_list
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assert "https://api.v0.dev/v1" in litellm.openai_compatible_endpoints
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@pytest.mark.asyncio
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async def test_v0_completion_call():
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"""Test completion call with v0 provider (requires V0_API_KEY)"""
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# Skip if no API key is available
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if not os.getenv("V0_API_KEY"):
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pytest.skip("V0_API_KEY not set")
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try:
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response = await litellm.acompletion(
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model="v0/gpt-4-turbo",
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messages=[{"role": "user", "content": "Hello, this is a test"}],
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max_tokens=10,
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)
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assert response.choices[0].message.content
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assert response.model
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assert response.usage
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except Exception as e:
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# If the API key is invalid or there's a network issue, that's okay
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# The important thing is that the provider was recognized
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if "v0" not in str(e) and "provider" not in str(e).lower():
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# Re-raise if it's not a provider-related error
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raise
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def test_v0_supported_params():
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"""Test that v0 returns only the supported parameters"""
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config = V0ChatConfig()
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supported_params = config.get_supported_openai_params("v0/v0-1.5-md")
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# v0 only supports these specific params
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expected_params = [
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"messages",
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"model",
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"stream",
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"tools",
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"tool_choice",
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]
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assert set(supported_params) == set(expected_params)
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def test_v0_models_configuration():
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"""Test that v0 models are configured correctly"""
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from litellm import get_model_info
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# Reload model cost map to pick up local changes
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os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
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litellm.model_cost = litellm.get_model_cost_map(url="")
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# All v0 models
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v0_models = ["v0/v0-1.0-md", "v0/v0-1.5-md", "v0/v0-1.5-lg"]
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for model in v0_models:
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model_info = get_model_info(model)
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assert model_info is not None, f"Model info not found for {model}"
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# All v0 models support vision (multimodal)
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assert model_info.get("supports_vision") is True, f"{model} should support vision"
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assert model_info.get("litellm_provider") == "v0", f"{model} should have v0 as provider"
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assert model_info.get("mode") == "chat", f"{model} should be in chat mode"
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assert model_info.get("supports_function_calling") is True, f"{model} should support function calling"
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assert model_info.get("supports_system_messages") is True, f"{model} should support system messages" |