mirror of
https://github.com/headroomlabs-ai/headroom.git
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e4a41faa33
- Fix E402: Move module-level imports to top of file - Fix F401: Add noqa for availability check imports - Fix F402: Rename loop variables shadowing imports - Fix E722: Replace bare except with except Exception - Fix B904: Add exception chaining (from e) - Fix F811: Remove duplicate imports - Fix B027: Add noqa for empty close() method - Fix E741: Rename ambiguous variable l -> label - Fix I001: Import sorting issues - Apply ruff format to all 106 files All 902 tests pass.
259 lines
8.6 KiB
Python
259 lines
8.6 KiB
Python
"""Tests for the model registry and capabilities database."""
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from __future__ import annotations
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import pytest
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from headroom.models import (
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ModelInfo,
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ModelRegistry,
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get_model_info,
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list_models,
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register_model,
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)
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class TestModelInfo:
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"""Tests for ModelInfo dataclass."""
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def test_default_values(self):
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"""Test default values."""
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info = ModelInfo(name="test", provider="test-provider")
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assert info.context_window == 128000
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assert info.max_output_tokens == 4096
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assert info.supports_tools is True
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assert info.supports_vision is False
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assert info.supports_streaming is True
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def test_custom_values(self):
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"""Test custom values."""
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info = ModelInfo(
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name="custom-model",
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provider="custom",
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context_window=32000,
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max_output_tokens=8192,
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supports_tools=False,
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supports_vision=True,
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input_cost_per_1m=1.5,
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output_cost_per_1m=3.0,
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)
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assert info.context_window == 32000
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assert info.max_output_tokens == 8192
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assert info.supports_tools is False
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assert info.supports_vision is True
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assert info.input_cost_per_1m == 1.5
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def test_frozen(self):
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"""Test that ModelInfo is frozen (immutable)."""
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info = ModelInfo(name="test", provider="test")
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with pytest.raises(AttributeError):
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info.name = "changed"
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class TestModelRegistry:
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"""Tests for ModelRegistry."""
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def test_get_openai_model(self):
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"""Test getting OpenAI model info."""
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info = ModelRegistry.get("gpt-4o")
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assert info is not None
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assert info.provider == "openai"
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assert info.context_window == 128000
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def test_get_anthropic_model(self):
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"""Test getting Anthropic model info."""
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info = ModelRegistry.get("claude-3-5-sonnet-20241022")
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assert info is not None
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assert info.provider == "anthropic"
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assert info.context_window == 200000
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def test_get_google_model(self):
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"""Test getting Google model info."""
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info = ModelRegistry.get("gemini-1.5-pro")
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assert info is not None
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assert info.provider == "google"
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assert info.context_window == 2000000 # 2M!
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def test_get_by_alias(self):
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"""Test getting model by alias."""
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info = ModelRegistry.get("gpt-4o-2024-11-20")
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assert info is not None
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assert info.name == "gpt-4o"
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def test_get_unknown_model(self):
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"""Test getting unknown model returns None."""
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info = ModelRegistry.get("unknown-model-xyz")
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assert info is None
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def test_get_prefix_matching(self):
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"""Test prefix matching for versioned models."""
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info = ModelRegistry.get("gpt-4o-new-version")
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assert info is not None
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assert info.name == "gpt-4o"
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def test_register_custom_model(self):
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"""Test registering custom model."""
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info = ModelRegistry.register(
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"my-custom-model",
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provider="custom",
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context_window=64000,
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supports_vision=True,
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)
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assert info.name == "my-custom-model"
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assert info.provider == "custom"
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assert info.context_window == 64000
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# Should be retrievable
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retrieved = ModelRegistry.get("my-custom-model")
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assert retrieved is not None
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assert retrieved.context_window == 64000
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def test_list_models_all(self):
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"""Test listing all models."""
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models = ModelRegistry.list_models()
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assert len(models) > 0
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def test_list_models_by_provider(self):
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"""Test listing models by provider."""
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openai_models = ModelRegistry.list_models(provider="openai")
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assert len(openai_models) > 0
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assert all(m.provider == "openai" for m in openai_models)
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def test_list_models_with_tools(self):
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"""Test listing models with tool support."""
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models = ModelRegistry.list_models(supports_tools=True)
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assert len(models) > 0
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assert all(m.supports_tools for m in models)
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def test_list_models_with_vision(self):
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"""Test listing models with vision support."""
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models = ModelRegistry.list_models(supports_vision=True)
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assert len(models) > 0
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assert all(m.supports_vision for m in models)
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def test_list_models_min_context(self):
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"""Test listing models with minimum context."""
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models = ModelRegistry.list_models(min_context=1000000)
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assert len(models) > 0
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assert all(m.context_window >= 1000000 for m in models)
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def test_list_providers(self):
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"""Test listing all providers."""
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providers = ModelRegistry.list_providers()
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assert "openai" in providers
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assert "anthropic" in providers
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assert "google" in providers
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def test_get_context_limit(self):
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"""Test getting context limit."""
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limit = ModelRegistry.get_context_limit("gpt-4o")
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assert limit == 128000
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def test_get_context_limit_unknown(self):
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"""Test getting context limit for unknown model."""
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limit = ModelRegistry.get_context_limit("unknown", default=32000)
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assert limit == 32000
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def test_estimate_cost(self):
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"""Test cost estimation."""
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cost = ModelRegistry.estimate_cost(
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model="gpt-4o",
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input_tokens=1000000,
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output_tokens=500000,
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)
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assert cost is not None
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# GPT-4o: $2.50/1M input + $10.00/1M output * 0.5 = $2.50 + $5.00 = $7.50
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assert abs(cost - 7.50) < 0.01
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def test_estimate_cost_with_cache(self):
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"""Test cost estimation with cached tokens."""
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cost = ModelRegistry.estimate_cost(
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model="gpt-4o",
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input_tokens=1000000,
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output_tokens=0,
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cached_tokens=500000, # Half cached
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)
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assert cost is not None
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# 500K regular at $2.50/1M + 500K cached at $1.25/1M
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# = $1.25 + $0.625 = $1.875
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assert abs(cost - 1.875) < 0.01
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def test_estimate_cost_unknown_model(self):
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"""Test cost estimation for unknown model."""
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cost = ModelRegistry.estimate_cost(
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model="unknown-model",
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input_tokens=1000,
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output_tokens=500,
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)
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assert cost is None
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class TestConvenienceFunctions:
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"""Tests for convenience functions."""
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def test_get_model_info(self):
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"""Test get_model_info function."""
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info = get_model_info("gpt-4o")
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assert info is not None
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assert info.name == "gpt-4o"
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def test_list_models(self):
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"""Test list_models function."""
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models = list_models(provider="anthropic")
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assert len(models) > 0
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def test_register_model(self):
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"""Test register_model function."""
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info = register_model(
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"test-function-model",
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provider="test",
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context_window=16000,
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)
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assert info.name == "test-function-model"
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class TestBuiltInModels:
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"""Tests for built-in model data."""
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def test_gpt4o_info(self):
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"""Test GPT-4o model info."""
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info = get_model_info("gpt-4o")
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assert info.provider == "openai"
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assert info.context_window == 128000
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assert info.supports_tools is True
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assert info.supports_vision is True
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assert info.input_cost_per_1m == 2.50
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assert info.output_cost_per_1m == 10.00
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def test_o1_info(self):
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"""Test o1 model info."""
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info = get_model_info("o1")
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assert info.provider == "openai"
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assert info.context_window == 200000 # 200K context
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assert info.max_output_tokens == 100000 # 100K output
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def test_claude_info(self):
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"""Test Claude model info."""
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info = get_model_info("claude-3-5-sonnet-20241022")
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assert info.provider == "anthropic"
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assert info.context_window == 200000
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assert info.cached_input_cost_per_1m == 0.30 # 90% cache discount
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def test_gemini_info(self):
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"""Test Gemini model info."""
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info = get_model_info("gemini-1.5-pro")
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assert info.provider == "google"
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assert info.context_window == 2000000 # 2M tokens!
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def test_llama_info(self):
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"""Test Llama model info."""
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info = get_model_info("llama-3.1-8b")
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assert info.provider == "meta"
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assert info.context_window == 128000
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assert info.tokenizer_backend == "huggingface"
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def test_mistral_info(self):
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"""Test Mistral model info."""
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info = get_model_info("mistral-large")
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assert info.provider == "mistral"
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assert info.supports_tools is True
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