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6a0d03914c
* test: drop the cwd-relative sys.path.insert calls from the test suite
TQ003 stands at 1,077 across 1,058 files, and 1,015 of them are the same shape:
sys.path.insert(0, os.path.abspath("../..")) and its deeper siblings. The
argument resolves against the working directory rather than the file, so from
the repo root, where every job runs pytest, it inserts the directory two levels
above the checkout. It has never pointed at litellm. The package is installed
into the environment anyway, which is what actually makes the import work, and
what the rule's message has said all along.
Removing them leaves 1,634 imports of sys and os with no remaining reference,
and those go too, except where another test module imports the name back out of
the file. The rest of TQ003 is 62 call sites that resolve against __file__ or a
variable, which are a different question and are left alone.
Collection is identical either way: 45,871 tests and the same 51 pre-existing
collection errors before and after, and ruff reports no new undefined name.
* test: drop the duplicate imports the sys.path sweep exposed to F811
* test(pre-call-utils): restore the os import the new bedrock tests need
114 lines
3.8 KiB
Python
114 lines
3.8 KiB
Python
import os
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from datetime import datetime
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from unittest.mock import MagicMock
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import pytest
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import litellm
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from litellm import get_llm_provider
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def test_get_llm_provider_hyperbolic():
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"""Test that hyperbolic/ prefix returns the correct provider"""
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model, provider, _, _ = get_llm_provider(model="hyperbolic/deepseek-v3")
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assert provider == "hyperbolic"
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assert model == "deepseek-v3"
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def test_hyperbolic_completion_call():
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"""Test basic completion call structure for Hyperbolic"""
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# This is primarily a structure test since we don't have actual API keys
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litellm.set_verbose = True
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response = litellm.completion(
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model="hyperbolic/qwen-2.5-72b",
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messages=[{"role": "user", "content": "Hello!"}],
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mock_response="Hi there!",
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)
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assert response is not None
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def test_hyperbolic_config_initialization():
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"""Test that HyperbolicChatConfig initializes correctly"""
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from litellm.llms.hyperbolic.chat.transformation import HyperbolicChatConfig
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config = HyperbolicChatConfig()
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assert config.custom_llm_provider == "hyperbolic"
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def test_hyperbolic_get_openai_compatible_provider_info():
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"""Test API base and key handling"""
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from litellm.llms.hyperbolic.chat.transformation import HyperbolicChatConfig
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config = HyperbolicChatConfig()
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# Test default API base
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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.hyperbolic.xyz/v1"
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# api_key may be set from environment, so we don't test for None
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# Test custom API base
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custom_base = "https://custom.hyperbolic.com/v1"
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api_base, api_key = config._get_openai_compatible_provider_info(
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custom_base, "test-key"
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)
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assert api_base == custom_base
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assert api_key == "test-key"
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def test_hyperbolic_in_provider_lists():
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"""Test that hyperbolic is in all relevant provider lists"""
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from litellm.constants import (
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openai_compatible_endpoints,
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openai_compatible_providers,
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openai_text_completion_compatible_providers,
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)
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assert "hyperbolic" in openai_compatible_providers
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assert "hyperbolic" in openai_text_completion_compatible_providers
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assert "https://api.hyperbolic.xyz/v1" in openai_compatible_endpoints
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def test_hyperbolic_models_configuration():
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"""Test that Hyperbolic models are properly configured"""
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import json
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# Load model configuration directly from the JSON file
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json_path = os.path.join(
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os.path.dirname(__file__), "../../model_prices_and_context_window.json"
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)
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with open(json_path, "r") as f:
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model_data = json.load(f)
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# Test a few key models
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test_models = [
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"hyperbolic/deepseek-ai/DeepSeek-V3",
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"hyperbolic/Qwen/Qwen2.5-Coder-32B-Instruct",
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"hyperbolic/deepseek-ai/DeepSeek-R1",
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]
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for model in test_models:
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assert model in model_data
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model_info = model_data[model]
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assert model_info["litellm_provider"] == "hyperbolic"
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assert model_info["mode"] == "chat"
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assert "max_tokens" in model_info
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assert "input_cost_per_token" in model_info
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assert "output_cost_per_token" in model_info
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def test_hyperbolic_supported_params():
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"""Test that supported OpenAI parameters are correctly configured"""
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from litellm.llms.hyperbolic.chat.transformation import HyperbolicChatConfig
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config = HyperbolicChatConfig()
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supported_params = config.get_supported_openai_params("hyperbolic/deepseek-v3")
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# Check for essential parameters
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assert "messages" in supported_params
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assert "model" in supported_params
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assert "stream" in supported_params
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assert "temperature" in supported_params
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assert "max_tokens" in supported_params
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assert "tools" in supported_params
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assert "tool_choice" in supported_params
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