Files
cleveragents-core/benchmarks/providers_llm_adapters_bench.py
freemo 8ea00f5185
CI / unit_tests (push) Has been cancelled
CI / benchmark-publish (push) Has been cancelled
CI / lint (push) Has been cancelled
CI / typecheck (push) Has been cancelled
CI / security (push) Has been cancelled
CI / quality (push) Has been cancelled
CI / integration_tests (push) Has been cancelled
CI / e2e_tests (push) Has been cancelled
CI / coverage (push) Has been cancelled
CI / benchmark-regression (push) Has been cancelled
CI / build (push) Has been cancelled
CI / push-validation (push) Has been cancelled
CI / status-check (push) Has been cancelled
CI / docker (push) Has been cancelled
CI / helm (push) Has been cancelled
fix: restore CI quality tests to passing state (#4175)
Co-authored-by: Jeffrey Phillips Freeman <the@jeffreyfreeman.me>
Co-committed-by: Jeffrey Phillips Freeman <the@jeffreyfreeman.me>
2026-04-08 11:02:14 +00:00

206 lines
6.8 KiB
Python

"""ASV benchmarks for LLM provider adapter instantiation.
Measures the performance of:
- LangChainChatProvider instantiation (base adapter)
- AnthropicChatProvider instantiation
- GoogleChatProvider instantiation
- OpenAIChatProvider instantiation
- OpenRouterChatProvider instantiation
These benchmarks focus on the construction cost of each adapter class,
which is the performance-sensitive path exercised before every LLM call.
No actual network calls are made — all LLM factories are mocked.
"""
from __future__ import annotations
import importlib
import sys
from pathlib import Path
from unittest.mock import MagicMock
_SRC = str(Path(__file__).resolve().parents[1] / "src")
if _SRC not in sys.path:
sys.path.insert(0, _SRC)
import cleveragents # noqa: E402
importlib.reload(cleveragents)
from cleveragents.providers.llm.anthropic_provider import ( # noqa: E402
AnthropicChatProvider,
)
from cleveragents.providers.llm.google_provider import GoogleChatProvider # noqa: E402
from cleveragents.providers.llm.langchain_chat_provider import ( # noqa: E402
LangChainChatProvider,
)
from cleveragents.providers.llm.openai_provider import OpenAIChatProvider # noqa: E402
from cleveragents.providers.llm.openrouter_provider import ( # noqa: E402
OpenRouterChatProvider,
)
# ---------------------------------------------------------------------------
# Shared mock LLM factory
# ---------------------------------------------------------------------------
def _mock_llm_factory(model_id: str) -> MagicMock:
"""Return a MagicMock that satisfies the BaseLanguageModel interface."""
return MagicMock()
class TimeLangChainChatProviderInstantiation:
"""Benchmark LangChainChatProvider (base adapter) instantiation."""
def time_instantiate_default(self) -> None:
"""Time instantiation with default settings."""
LangChainChatProvider(
name="bench_provider",
model_id="bench-model",
llm_factory=_mock_llm_factory,
)
def time_instantiate_with_max_retries(self) -> None:
"""Time instantiation with a custom max_retries value."""
LangChainChatProvider(
name="bench_provider",
model_id="bench-model",
llm_factory=_mock_llm_factory,
max_retries=5,
)
def time_instantiate_no_streaming(self) -> None:
"""Time instantiation with streaming disabled."""
LangChainChatProvider(
name="bench_provider",
model_id="bench-model",
llm_factory=_mock_llm_factory,
supports_streaming=False,
)
def time_instantiate_with_progress_map(self) -> None:
"""Time instantiation with a custom progress map."""
LangChainChatProvider(
name="bench_provider",
model_id="bench-model",
llm_factory=_mock_llm_factory,
progress_map={
"load_context": 10,
"analyze_requirements": 30,
"generate_plan": 60,
"validate": 85,
},
)
class TimeAnthropicChatProviderInstantiation:
"""Benchmark AnthropicChatProvider instantiation."""
def time_instantiate_default_model(self) -> None:
"""Time instantiation with the default Claude model."""
AnthropicChatProvider(api_key="ant-bench-key")
def time_instantiate_custom_model(self) -> None:
"""Time instantiation with a custom model identifier."""
AnthropicChatProvider(
api_key="ant-bench-key",
model="claude-3-5-haiku-20241022",
)
def time_instantiate_custom_retries(self) -> None:
"""Time instantiation with a non-default max_retries value."""
AnthropicChatProvider(
api_key="ant-bench-key",
max_retries=1,
)
class TimeGoogleChatProviderInstantiation:
"""Benchmark GoogleChatProvider instantiation."""
def time_instantiate_default_model(self) -> None:
"""Time instantiation with the default Gemini model."""
GoogleChatProvider(api_key="goog-bench-key")
def time_instantiate_custom_model(self) -> None:
"""Time instantiation with a custom Gemini model identifier."""
GoogleChatProvider(
api_key="goog-bench-key",
model="gemini-1.5-pro",
)
def time_instantiate_custom_retries(self) -> None:
"""Time instantiation with a non-default max_retries value."""
GoogleChatProvider(
api_key="goog-bench-key",
max_retries=2,
)
class TimeOpenAIChatProviderInstantiation:
"""Benchmark OpenAIChatProvider instantiation."""
def time_instantiate_default_model(self) -> None:
"""Time instantiation with the default GPT-4o model."""
OpenAIChatProvider(api_key="sk-bench-key")
def time_instantiate_custom_model(self) -> None:
"""Time instantiation with a custom model identifier."""
OpenAIChatProvider(
api_key="sk-bench-key",
model="gpt-4o-mini",
)
def time_instantiate_with_organization(self) -> None:
"""Time instantiation with an organization identifier."""
OpenAIChatProvider(
api_key="sk-bench-key",
organization="org-bench-12345",
)
def time_instantiate_custom_retries(self) -> None:
"""Time instantiation with a non-default max_retries value."""
OpenAIChatProvider(
api_key="sk-bench-key",
max_retries=1,
)
class TimeOpenRouterChatProviderInstantiation:
"""Benchmark OpenRouterChatProvider instantiation."""
def time_instantiate_default_model(self) -> None:
"""Time instantiation with the default OpenRouter model."""
OpenRouterChatProvider(api_key="or-bench-key")
def time_instantiate_custom_model(self) -> None:
"""Time instantiation with a custom model identifier."""
OpenRouterChatProvider(
api_key="or-bench-key",
model="openai/gpt-4o",
)
def time_instantiate_with_organization(self) -> None:
"""Time instantiation with an organization/referer header."""
OpenRouterChatProvider(
api_key="or-bench-key",
organization="https://bench.example.com",
)
def time_instantiate_with_custom_headers(self) -> None:
"""Time instantiation with custom default headers."""
OpenRouterChatProvider(
api_key="or-bench-key",
default_headers={
"HTTP-Referer": "https://bench.example.com",
"X-Title": "BenchmarkSuite",
},
)
def time_instantiate_custom_retries(self) -> None:
"""Time instantiation with a non-default max_retries value."""
OpenRouterChatProvider(
api_key="or-bench-key",
max_retries=5,
)