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119 lines
4.8 KiB
Python
119 lines
4.8 KiB
Python
"""Unit tests for the custom provider profile's reasoning wiring.
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``provider=custom`` covers any OpenAI-compatible endpoint the user points
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Hermes at — local Ollama, vLLM, llama.cpp, and hosted reasoning APIs like
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GLM-5.2 on Volcengine ARK. Before #57601's salvage, ``CustomProfile`` emitted
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nothing when reasoning was *enabled*, so a configured ``reasoning_effort``
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was silently dropped for every custom endpoint.
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These tests pin the wire-shape contract:
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- disabled → extra_body.think = False
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- enabled + effort → top-level reasoning_effort (native OpenAI-compat
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format GLM/ARK expect), passed through verbatim
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including ``max``/``xhigh``
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- enabled + no effort → nothing emitted (endpoint's server default applies)
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- ollama_num_ctx → extra_body.options.num_ctx, orthogonal to reasoning
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"""
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from __future__ import annotations
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import pytest
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@pytest.fixture
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def custom_profile():
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"""Resolve the registered custom profile via the global registry.
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Importing ``model_tools`` triggers plugin discovery, which registers the
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``custom`` profile. Going through ``get_provider_profile`` keeps the test
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honest — if the registered class is ever downgraded to a plain
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``ProviderProfile``, the assertions below collapse.
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"""
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import model_tools # noqa: F401
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import providers
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profile = providers.get_provider_profile("custom")
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assert profile is not None, "custom provider profile must be registered"
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return profile
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class TestCustomReasoningWireShape:
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"""``build_api_kwargs_extras`` produces the correct wire format."""
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def test_no_reasoning_config_emits_nothing(self, custom_profile):
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"""Unset reasoning → omit everything so the endpoint's default applies."""
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eb, tl = custom_profile.build_api_kwargs_extras(
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reasoning_config=None, model="glm-5.2"
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)
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assert eb == {}
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assert tl == {}
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def test_disabled_sends_think_false(self, custom_profile):
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"""enabled=False → extra_body.think = False (Ollama thinking-off flag)."""
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eb, tl = custom_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": False}, model="glm-5.2"
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)
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assert eb == {"think": False}
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assert tl == {}
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def test_effort_none_sends_think_false(self, custom_profile):
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"""effort='none' is the disable alias → think=False, no effort."""
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eb, tl = custom_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": "none"}, model="glm-5.2"
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)
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assert eb == {"think": False}
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assert tl == {}
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@pytest.mark.parametrize(
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"effort", ["minimal", "low", "medium", "high", "xhigh", "max"]
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)
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def test_enabled_effort_goes_top_level(self, custom_profile, effort):
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"""enabled + effort → TOP-LEVEL reasoning_effort, passed through verbatim.
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GLM-5.2/ARK and OpenAI-compatible reasoning APIs read reasoning_effort
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as a top-level string, not nested in extra_body. ``max`` is GLM's
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native deep-reasoning level and must survive.
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"""
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eb, tl = custom_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": effort}, model="glm-5.2"
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)
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assert tl == {"reasoning_effort": effort}
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assert "reasoning_effort" not in eb
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assert "think" not in eb
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def test_enabled_without_effort_emits_nothing(self, custom_profile):
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"""enabled but no effort → omit; do NOT force a level the user didn't pick."""
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eb, tl = custom_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True}, model="glm-5.2"
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)
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assert eb == {}
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assert tl == {}
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def test_does_not_force_think_true_on_enable(self, custom_profile):
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"""We must never send think=True on enable — it's Ollama-only and
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would 400 on GLM/vLLM endpoints that don't recognize it."""
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eb, _ = custom_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": "high"}, model="glm-5.2"
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)
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assert eb.get("think") is not True
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class TestCustomReasoningWithNumCtx:
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"""Ollama num_ctx and reasoning are independent and compose."""
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def test_num_ctx_alone(self, custom_profile):
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eb, tl = custom_profile.build_api_kwargs_extras(
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reasoning_config=None, ollama_num_ctx=8192, model="qwen3"
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)
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assert eb == {"options": {"num_ctx": 8192}}
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assert tl == {}
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def test_num_ctx_with_effort(self, custom_profile):
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eb, tl = custom_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": "high"},
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ollama_num_ctx=8192,
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model="qwen3",
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)
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assert eb == {"options": {"num_ctx": 8192}}
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assert tl == {"reasoning_effort": "high"}
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