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175746c e4a41fa 175746c e4a41fa 175746c e4a41fa 175746c 7a34030 175746c 7a34030 175746c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 | """Tests for universal provider support.
Tests OpenAICompatibleProvider, GoogleProvider, and LiteLLMProvider.
"""
from __future__ import annotations
import pytest
from headroom.providers import (
GoogleProvider,
ModelCapabilities,
OpenAICompatibleProvider,
create_groq_provider,
create_lmstudio_provider,
create_ollama_provider,
create_together_provider,
create_vllm_provider,
is_litellm_available,
)
def _transformers_available() -> bool:
"""Check if transformers is available."""
try:
import transformers # noqa: F401
return True
except ImportError:
return False
class TestOpenAICompatibleProvider:
"""Tests for OpenAICompatibleProvider."""
def test_init_default(self):
"""Test initialization with defaults."""
provider = OpenAICompatibleProvider()
assert provider.name == "openai_compatible"
assert provider.base_url is None
def test_init_with_config(self):
"""Test initialization with configuration."""
provider = OpenAICompatibleProvider(
name="custom",
base_url="http://localhost:8080/v1",
api_key="test-key",
)
assert provider.name == "custom"
assert provider.base_url == "http://localhost:8080/v1"
assert provider.api_key == "test-key"
def test_supports_any_model(self):
"""Test that provider supports any model."""
provider = OpenAICompatibleProvider()
assert provider.supports_model("any-model") is True
assert provider.supports_model("llama-3") is True
assert provider.supports_model("custom-finetuned") is True
@pytest.mark.skipif(
not _transformers_available(),
reason="transformers not installed - needed for HuggingFace tokenizer",
)
def test_get_token_counter(self):
"""Test getting token counter."""
provider = OpenAICompatibleProvider()
counter = provider.get_token_counter("llama-3-8b")
assert counter is not None
# Should be able to count tokens
count = counter.count_text("Hello, world!")
assert count > 0
def test_get_context_limit_known_model(self):
"""Test context limit for known models."""
provider = OpenAICompatibleProvider()
# Llama 3.1 has 128K context
limit = provider.get_context_limit("llama-3.1-8b")
assert limit == 128000
def test_get_context_limit_unknown_model(self):
"""Test context limit for unknown models (defaults to 128K)."""
provider = OpenAICompatibleProvider()
limit = provider.get_context_limit("unknown-model")
assert limit == 128000
def test_register_model(self):
"""Test registering a custom model."""
provider = OpenAICompatibleProvider()
provider.register_model(
"my-model",
context_window=64000,
max_output_tokens=8192,
input_cost_per_1m=1.0,
output_cost_per_1m=2.0,
)
assert provider.get_context_limit("my-model") == 64000
def test_estimate_cost_registered_model(self):
"""Test cost estimation for registered model."""
provider = OpenAICompatibleProvider()
provider.register_model(
"priced-model",
input_cost_per_1m=1.0,
output_cost_per_1m=2.0,
)
cost = provider.estimate_cost(
input_tokens=1000000,
output_tokens=500000,
model="priced-model",
)
assert cost == 2.0 # 1.0 + 1.0
def test_estimate_cost_unknown_model(self):
"""Test cost estimation returns None for unknown model."""
provider = OpenAICompatibleProvider()
cost = provider.estimate_cost(
input_tokens=1000,
output_tokens=500,
model="unknown-model",
)
assert cost is None
class TestModelCapabilities:
"""Tests for ModelCapabilities dataclass."""
def test_default_values(self):
"""Test default capability values."""
caps = ModelCapabilities(model="test-model")
assert caps.context_window == 128000
assert caps.max_output_tokens == 4096
assert caps.supports_tools is True
assert caps.supports_vision is False
assert caps.supports_streaming is True
def test_custom_values(self):
"""Test custom capability values."""
caps = ModelCapabilities(
model="custom-model",
context_window=32000,
max_output_tokens=16384,
supports_tools=False,
supports_vision=True,
input_cost_per_1m=0.5,
output_cost_per_1m=1.5,
)
assert caps.context_window == 32000
assert caps.max_output_tokens == 16384
assert caps.supports_tools is False
assert caps.supports_vision is True
assert caps.input_cost_per_1m == 0.5
assert caps.output_cost_per_1m == 1.5
class TestGoogleProvider:
"""Tests for GoogleProvider."""
@pytest.fixture
def provider(self):
"""Create Google provider."""
return GoogleProvider()
def test_name(self, provider):
"""Test provider name."""
assert provider.name == "google"
def test_supports_gemini_models(self, provider):
"""Test support for Gemini models."""
assert provider.supports_model("gemini-2.0-flash") is True
assert provider.supports_model("gemini-1.5-pro") is True
assert provider.supports_model("gemini-1.5-flash") is True
def test_not_supports_other_models(self, provider):
"""Test non-support for other models."""
assert provider.supports_model("gpt-4o") is False
assert provider.supports_model("claude-3") is False
def test_get_token_counter(self, provider):
"""Test getting token counter."""
counter = provider.get_token_counter("gemini-2.0-flash")
assert counter is not None
count = counter.count_text("Hello, world!")
assert count > 0
def test_get_context_limit_gemini_2(self, provider):
"""Test context limit for Gemini 2.0."""
limit = provider.get_context_limit("gemini-2.0-flash")
# LiteLLM returns 1048576 (2^20), fallback returns 1000000
assert limit in (1000000, 1048576) # ~1M tokens
def test_get_context_limit_gemini_1_5_pro(self, provider):
"""Test context limit for Gemini 1.5 Pro (2M!)."""
limit = provider.get_context_limit("gemini-1.5-pro")
# LiteLLM returns 2097152 (2^21), fallback returns 2000000
assert limit in (2000000, 2097152) # ~2M tokens!
def test_estimate_cost(self, provider):
"""Test cost estimation."""
cost = provider.estimate_cost(
input_tokens=1000000,
output_tokens=500000,
model="gemini-2.0-flash",
)
assert cost is not None
# 1M input * $0.10 + 0.5M output * $0.40 = $0.10 + $0.20 = $0.30
assert abs(cost - 0.30) < 0.01
def test_openai_compatible_url(self):
"""Test OpenAI-compatible URL."""
url = GoogleProvider.get_openai_compatible_url("test-key")
assert "generativelanguage.googleapis.com" in url
class TestProviderFactoryFunctions:
"""Tests for provider factory functions."""
def test_create_ollama_provider(self):
"""Test creating Ollama provider."""
provider = create_ollama_provider()
assert provider.name == "ollama"
assert provider.base_url == "http://localhost:11434/v1"
def test_create_ollama_provider_custom_url(self):
"""Test creating Ollama provider with custom URL."""
provider = create_ollama_provider("http://192.168.1.100:11434/v1")
assert provider.base_url == "http://192.168.1.100:11434/v1"
def test_create_together_provider(self):
"""Test creating Together provider."""
provider = create_together_provider()
assert provider.name == "together"
assert "together.xyz" in provider.base_url
def test_create_groq_provider(self):
"""Test creating Groq provider."""
provider = create_groq_provider()
assert provider.name == "groq"
assert "groq.com" in provider.base_url
def test_create_vllm_provider(self):
"""Test creating vLLM provider."""
provider = create_vllm_provider("http://localhost:8000/v1")
assert provider.name == "vllm"
assert provider.base_url == "http://localhost:8000/v1"
def test_create_lmstudio_provider(self):
"""Test creating LM Studio provider."""
provider = create_lmstudio_provider()
assert provider.name == "lmstudio"
assert provider.base_url == "http://localhost:1234/v1"
class TestLiteLLMProvider:
"""Tests for LiteLLM provider."""
def test_is_litellm_available(self):
"""Test checking LiteLLM availability."""
result = is_litellm_available()
assert isinstance(result, bool)
@pytest.mark.skipif(
not is_litellm_available(),
reason="LiteLLM not installed",
)
def test_create_litellm_provider(self):
"""Test creating LiteLLM provider."""
from headroom.providers import create_litellm_provider
provider = create_litellm_provider()
assert provider.name == "litellm"
@pytest.mark.skipif(
not is_litellm_available(),
reason="LiteLLM not installed",
)
def test_litellm_supports_any_model(self):
"""Test LiteLLM supports any model."""
from headroom.providers import create_litellm_provider
provider = create_litellm_provider()
assert provider.supports_model("gpt-4o") is True
assert provider.supports_model("claude-3-sonnet") is True
assert provider.supports_model("any-model") is True
@pytest.mark.skipif(
not is_litellm_available(),
reason="LiteLLM not installed",
)
def test_litellm_list_providers(self):
"""Test listing LiteLLM providers."""
from headroom.providers import LiteLLMProvider
providers = LiteLLMProvider.list_supported_providers()
assert "openai" in providers
assert "anthropic" in providers
assert "ollama" in providers
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