test: speed up CI and harden the suite
This commit is contained in:
@@ -1,6 +1,6 @@
|
||||
"""Tests for LLMProvider._enforce_role_alternation."""
|
||||
|
||||
from nanobot.providers.base import LLMProvider, _SYNTHETIC_USER_CONTENT
|
||||
from nanobot.providers.base import _SYNTHETIC_USER_CONTENT, LLMProvider
|
||||
|
||||
|
||||
class TestEnforceRoleAlternation:
|
||||
|
||||
@@ -520,8 +520,8 @@ async def test_openrouter_keeps_model_name_intact() -> None:
|
||||
mock_create = AsyncMock(return_value=_fake_chat_response())
|
||||
spec = find_by_name("openrouter")
|
||||
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as MockClient:
|
||||
client_instance = MockClient.return_value
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as mock_client_class:
|
||||
client_instance = mock_client_class.return_value
|
||||
client_instance.chat.completions.create = mock_create
|
||||
|
||||
provider = OpenAICompatProvider(
|
||||
@@ -545,8 +545,8 @@ async def test_aihubmix_strips_model_prefix() -> None:
|
||||
mock_create = AsyncMock(return_value=_fake_chat_response())
|
||||
spec = find_by_name("aihubmix")
|
||||
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as MockClient:
|
||||
client_instance = MockClient.return_value
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as mock_client_class:
|
||||
client_instance = mock_client_class.return_value
|
||||
client_instance.chat.completions.create = mock_create
|
||||
|
||||
provider = OpenAICompatProvider(
|
||||
@@ -570,8 +570,8 @@ async def test_standard_provider_passes_model_through() -> None:
|
||||
mock_create = AsyncMock(return_value=_fake_chat_response())
|
||||
spec = find_by_name("deepseek")
|
||||
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as MockClient:
|
||||
client_instance = MockClient.return_value
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as mock_client_class:
|
||||
client_instance = mock_client_class.return_value
|
||||
client_instance.chat.completions.create = mock_create
|
||||
|
||||
provider = OpenAICompatProvider(
|
||||
@@ -594,8 +594,8 @@ async def test_openai_compat_preserves_extra_content_on_tool_calls() -> None:
|
||||
mock_create = AsyncMock(return_value=_fake_tool_call_response())
|
||||
spec = find_by_name("gemini")
|
||||
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as MockClient:
|
||||
client_instance = MockClient.return_value
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as mock_client_class:
|
||||
client_instance = mock_client_class.return_value
|
||||
client_instance.chat.completions.create = mock_create
|
||||
|
||||
provider = OpenAICompatProvider(
|
||||
@@ -656,8 +656,8 @@ async def test_direct_openai_gpt5_uses_responses_api() -> None:
|
||||
mock_responses = AsyncMock(return_value=_fake_responses_response("from responses"))
|
||||
spec = find_by_name("openai")
|
||||
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as MockClient:
|
||||
client_instance = MockClient.return_value
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as mock_client_class:
|
||||
client_instance = mock_client_class.return_value
|
||||
client_instance.chat.completions.create = mock_chat
|
||||
client_instance.responses.create = mock_responses
|
||||
|
||||
@@ -687,8 +687,8 @@ async def test_direct_openai_reasoning_prefers_responses_api() -> None:
|
||||
mock_responses = AsyncMock(return_value=_fake_responses_response("reasoned"))
|
||||
spec = find_by_name("openai")
|
||||
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as MockClient:
|
||||
client_instance = MockClient.return_value
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as mock_client_class:
|
||||
client_instance = mock_client_class.return_value
|
||||
client_instance.chat.completions.create = mock_chat
|
||||
client_instance.responses.create = mock_responses
|
||||
|
||||
@@ -716,8 +716,8 @@ async def test_direct_openai_gpt4o_stays_on_chat_completions() -> None:
|
||||
mock_responses = AsyncMock(return_value=_fake_responses_response())
|
||||
spec = find_by_name("openai")
|
||||
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as MockClient:
|
||||
client_instance = MockClient.return_value
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as mock_client_class:
|
||||
client_instance = mock_client_class.return_value
|
||||
client_instance.chat.completions.create = mock_chat
|
||||
client_instance.responses.create = mock_responses
|
||||
|
||||
@@ -741,8 +741,8 @@ async def test_openrouter_gpt5_stays_on_chat_completions() -> None:
|
||||
mock_responses = AsyncMock(return_value=_fake_responses_response())
|
||||
spec = find_by_name("openrouter")
|
||||
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as MockClient:
|
||||
client_instance = MockClient.return_value
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as mock_client_class:
|
||||
client_instance = mock_client_class.return_value
|
||||
client_instance.chat.completions.create = mock_chat
|
||||
client_instance.responses.create = mock_responses
|
||||
|
||||
@@ -767,8 +767,8 @@ async def test_direct_openai_streaming_gpt5_uses_responses_api() -> None:
|
||||
mock_responses = AsyncMock(return_value=_fake_responses_stream("hi"))
|
||||
spec = find_by_name("openai")
|
||||
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as MockClient:
|
||||
client_instance = MockClient.return_value
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as mock_client_class:
|
||||
client_instance = mock_client_class.return_value
|
||||
client_instance.chat.completions.create = mock_chat
|
||||
client_instance.responses.create = mock_responses
|
||||
|
||||
@@ -794,8 +794,8 @@ async def test_direct_openai_responses_404_falls_back_to_chat_completions() -> N
|
||||
mock_responses = AsyncMock(side_effect=_FakeResponsesError(404, "Responses endpoint not supported"))
|
||||
spec = find_by_name("openai")
|
||||
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as MockClient:
|
||||
client_instance = MockClient.return_value
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as mock_client_class:
|
||||
client_instance = mock_client_class.return_value
|
||||
client_instance.chat.completions.create = mock_chat
|
||||
client_instance.responses.create = mock_responses
|
||||
|
||||
@@ -820,8 +820,8 @@ async def test_direct_openai_open_circuit_skips_responses_api() -> None:
|
||||
mock_responses = AsyncMock(return_value=_fake_responses_response("from responses"))
|
||||
spec = find_by_name("openai")
|
||||
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as MockClient:
|
||||
client_instance = MockClient.return_value
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as mock_client_class:
|
||||
client_instance = mock_client_class.return_value
|
||||
client_instance.chat.completions.create = mock_chat
|
||||
client_instance.responses.create = mock_responses
|
||||
|
||||
@@ -851,8 +851,8 @@ async def test_direct_openai_stream_responses_unsupported_param_falls_back() ->
|
||||
)
|
||||
spec = find_by_name("openai")
|
||||
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as MockClient:
|
||||
client_instance = MockClient.return_value
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as mock_client_class:
|
||||
client_instance = mock_client_class.return_value
|
||||
client_instance.chat.completions.create = mock_chat
|
||||
client_instance.responses.create = mock_responses
|
||||
|
||||
@@ -877,8 +877,8 @@ async def test_direct_openai_responses_rate_limit_does_not_fallback() -> None:
|
||||
mock_responses = AsyncMock(side_effect=_FakeResponsesError(429, "rate limit"))
|
||||
spec = find_by_name("openai")
|
||||
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as MockClient:
|
||||
client_instance = MockClient.return_value
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as mock_client_class:
|
||||
client_instance = mock_client_class.return_value
|
||||
client_instance.chat.completions.create = mock_chat
|
||||
client_instance.responses.create = mock_responses
|
||||
|
||||
@@ -1232,8 +1232,8 @@ async def test_openai_compat_stream_watchdog_returns_error_on_stall(monkeypatch)
|
||||
mock_create = AsyncMock(return_value=_StalledStream())
|
||||
spec = find_by_name("openai")
|
||||
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as MockClient:
|
||||
client_instance = MockClient.return_value
|
||||
with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI") as mock_client_class:
|
||||
client_instance = mock_client_class.return_value
|
||||
client_instance.chat.completions.create = mock_create
|
||||
|
||||
provider = OpenAICompatProvider(
|
||||
|
||||
@@ -5,9 +5,9 @@ import time
|
||||
import pytest
|
||||
|
||||
from nanobot.providers.openai_compat_provider import (
|
||||
OpenAICompatProvider,
|
||||
_RESPONSES_FAILURE_THRESHOLD,
|
||||
_RESPONSES_PROBE_INTERVAL_S,
|
||||
OpenAICompatProvider,
|
||||
)
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user