Private
Public Access
refactor(schemas): remove NormalizedResponse backward-compat __init__; use canonical API
This commit is contained in:
@@ -37,10 +37,11 @@ def test_minimax_credentials_template() -> None:
|
||||
def test_minimax_reasoning_extractor_used_when_caps_reasoning_true() -> None:
|
||||
"""caps.reasoning=True (M2.5/M2.7) should pass the reasoning_extractor to run_with_tool_loop."""
|
||||
from src import openai_compatible as oc
|
||||
from src.openai_schemas import UsageStats
|
||||
captured_kwargs: list[dict] = []
|
||||
def _fake_send(client, request, *, capabilities):
|
||||
captured_kwargs.append({"model": request.model})
|
||||
return MagicMock(text="ok", tool_calls=[], usage_input_tokens=0, usage_output_tokens=0, usage_cache_read_tokens=0, usage_cache_creation_tokens=0, raw_response=None)
|
||||
return MagicMock(text="ok", tool_calls=[], usage=UsageStats(input_tokens=0, output_tokens=0, cache_read_tokens=0, cache_creation_tokens=0), raw_response=None)
|
||||
from src.vendor_capabilities import register, VendorCapabilities
|
||||
register(VendorCapabilities(vendor='minimax', model='MiniMax-M2.5', reasoning=True))
|
||||
with patch.object(oc, "send_openai_compatible", side_effect=_fake_send), \
|
||||
@@ -52,17 +53,18 @@ def test_minimax_reasoning_extractor_used_when_caps_reasoning_true() -> None:
|
||||
def test_minimax_reasoning_extractor_omitted_when_caps_reasoning_false() -> None:
|
||||
"""caps.reasoning=False (M2/M2.1) should NOT pass the reasoning_extractor (avoid useless getattr)."""
|
||||
from src import openai_compatible as oc
|
||||
from src.openai_schemas import UsageStats
|
||||
from src.vendor_capabilities import register, VendorCapabilities
|
||||
register(VendorCapabilities(vendor='minimax', model='MiniMax-M2', reasoning=False))
|
||||
captured_kwargs: list[dict] = []
|
||||
def _fake_send(client, request, *, capabilities):
|
||||
captured_kwargs.append({"model": request.model})
|
||||
return MagicMock(text="ok", tool_calls=[], usage_input_tokens=0, usage_output_tokens=0, usage_cache_read_tokens=0, usage_cache_creation_tokens=0, raw_response=None)
|
||||
return MagicMock(text="ok", tool_calls=[], usage=UsageStats(input_tokens=0, output_tokens=0, cache_read_tokens=0, cache_creation_tokens=0), raw_response=None)
|
||||
with patch.object(oc, "send_openai_compatible", side_effect=_fake_send), \
|
||||
patch("src.ai_client._ensure_minimax_client", return_value=MagicMock()), \
|
||||
patch("src.ai_client._get_deepseek_tools", return_value=[]):
|
||||
ai_client._send_minimax("system", "user", ".", None, "", False, None, None, None)
|
||||
assert len(captured_kwargs) >= 1
|
||||
assert len(captured_kwargs) >= 1
|
||||
|
||||
def test_minimax_ensure_client_instantiation() -> None:
|
||||
"""Verify that _ensure_minimax_client instantiates the OpenAI client with correct credentials and base URL."""
|
||||
|
||||
Reference in New Issue
Block a user