First in-tree consumer of ProviderProfile.fetch_account_usage: the OpenCode Go plan's rolling / weekly / monthly windows (GET /zen/go/v1/usage) render in every /usage surface without adding the provider name to the core _USAGE_FETCHERS table. Ported from #113418, which implemented the same fetch as a core table entry; the literal endpoint (not the runtime base_url, which loses /v1 in anthropic_messages mode) and the window mapping are theirs. Co-authored-by: Angello Picasso <angello.picasso@devsu.com>
313 lines
12 KiB
Python
313 lines
12 KiB
Python
"""Unit tests for OpenCode Go reasoning-control wiring."""
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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 opencode_go_profile():
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"""Resolve the registered OpenCode Go provider profile."""
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import model_tools # noqa: F401
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import providers
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profile = providers.get_provider_profile("opencode-go")
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assert profile is not None, "opencode-go provider profile must be registered"
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return profile
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@pytest.fixture
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def opencode_zen_profile():
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"""Resolve the registered OpenCode Zen provider profile."""
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import model_tools # noqa: F401
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import providers
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profile = providers.get_provider_profile("opencode-zen")
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assert profile is not None, "opencode-zen provider profile must be registered"
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return profile
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class TestOpenCodeZenOxReasoning:
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"""Ox Alpha Free uses OpenCode Zen's native reasoning_effort control."""
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def test_max_effort_is_emitted(self, opencode_zen_profile):
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extra_body, top_level = opencode_zen_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": "max"},
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model="x-preview-f-free",
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)
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assert extra_body == {}
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assert top_level == {"reasoning_effort": "max"}
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@pytest.mark.parametrize("reasoning_config", [None, {"enabled": False}])
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def test_unset_or_disabled_preserves_server_default(
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self, opencode_zen_profile, reasoning_config
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):
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extra_body, top_level = opencode_zen_profile.build_api_kwargs_extras(
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reasoning_config=reasoning_config,
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model="x-preview-f-free",
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)
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assert extra_body == {}
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assert top_level == {}
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def test_other_zen_models_are_untouched(self, opencode_zen_profile):
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extra_body, top_level = opencode_zen_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": "max"},
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model="gemini-3-flash",
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)
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assert extra_body == {}
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assert top_level == {}
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def test_max_reaches_chat_completions_request(self, opencode_zen_profile):
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from agent.transports.chat_completions import ChatCompletionsTransport
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kwargs = ChatCompletionsTransport().build_kwargs(
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model="x-preview-f-free",
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messages=[{"role": "user", "content": "ping"}],
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tools=None,
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provider_profile=opencode_zen_profile,
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reasoning_config={"enabled": True, "effort": "max"},
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base_url="https://opencode.ai/zen/v1",
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)
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assert "extra_body" not in kwargs
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assert kwargs["reasoning_effort"] == "max"
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def test_unsupported_efforts_clamp_to_wire_vocabulary(self, opencode_zen_profile):
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"""medium/xhigh are not on Ox Alpha's wire (400 raw); they must clamp
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to the nearest supported level, never pass through."""
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for requested, expected in (("medium", "low"), ("xhigh", "max")):
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_, top_level = opencode_zen_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": requested},
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model="x-preview-f-free",
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)
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assert top_level == {"reasoning_effort": expected}, requested
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class TestOpenCodeGoKimiReasoning:
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"""Kimi K2 models use Moonshot's thinking + reasoning_effort shape on OpenCode Go."""
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def test_high_effort_emits_thinking_and_effort(self, opencode_go_profile):
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extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": "high"},
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model="kimi-k2.6",
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)
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assert extra_body == {}
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assert top_level == {"reasoning_effort": "high"}
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def test_disabled_emits_thinking_disabled_without_effort(self, opencode_go_profile):
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extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": False},
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model="kimi-k2.6",
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)
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assert extra_body == {"thinking": {"type": "disabled"}}
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assert top_level == {}
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def test_minimal_effort_clamps_to_low(self, opencode_go_profile):
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# "minimal" is below Moonshot's floor — the shared clamp degrades it
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# to "low" (nearest supported) instead of dropping the ask and
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# leaving the server default (which was MORE thinking than asked).
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extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": "minimal"},
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model="kimi-k2.6",
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)
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assert extra_body == {}
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assert top_level == {"reasoning_effort": "low"}
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@pytest.mark.parametrize(
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"effort",
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[
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"xhigh",
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"max",
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],
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)
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def test_strong_efforts_clamp_to_high(self, opencode_go_profile, effort):
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extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": effort},
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model="moonshotai/kimi-k2.6",
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)
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assert extra_body == {}
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assert top_level == {"reasoning_effort": "high"}
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def test_low_and_medium_pass_through(self, opencode_go_profile):
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for effort in ("low", "medium"):
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extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": effort},
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model="kimi-k2.5",
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)
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assert extra_body == {}
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assert top_level == {"reasoning_effort": effort}
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def test_no_config_preserves_server_default(self, opencode_go_profile):
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extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
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reasoning_config=None,
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model="kimi-k2.6",
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)
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assert extra_body == {}
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assert top_level == {}
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class TestOpenCodeGoDeepSeekThinking:
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"""DeepSeek V4 models use DeepSeek-style thinking controls on OpenCode Go."""
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def test_xhigh_and_max_normalize_to_max(self, opencode_go_profile):
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for effort in ("xhigh", "max"):
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extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": effort},
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model="deepseek/deepseek-v4-pro",
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)
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assert extra_body == {}
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assert top_level == {"reasoning_effort": "max"}
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@pytest.mark.parametrize("model", ["deepseek-flash", "deepseek/deepseek-flash"])
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def test_version_less_canonical_id_gets_the_controls(self, opencode_go_profile, model):
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"""The canonical version-less Flash id must reach the wire like the versioned ids:
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the asked effort, and an explicit thinking-off when reasoning is disabled."""
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_, top_level = opencode_go_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": "high"},
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model=model,
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)
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assert top_level == {"reasoning_effort": "high"}
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extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": False},
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model=model,
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)
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assert extra_body == {"thinking": {"type": "disabled"}}
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assert top_level == {}
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def test_version_less_flash_effort_reaches_the_wire(self, opencode_go_profile):
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from agent.transports.chat_completions import ChatCompletionsTransport
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kwargs = ChatCompletionsTransport().build_kwargs(
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model="deepseek-flash",
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messages=[{"role": "user", "content": "ping"}],
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tools=None,
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provider_profile=opencode_go_profile,
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reasoning_config={"enabled": True, "effort": "max"},
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base_url="https://opencode.ai/zen/go/v1",
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)
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assert "extra_body" not in kwargs
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assert kwargs["reasoning_effort"] == "max"
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class TestOpenCodeGoGLM52Reasoning:
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"""GLM-5.2 uses its native high/max reasoning_effort knob on OpenCode Go."""
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@pytest.mark.parametrize("model", ["glm-5-2", "glm-5p2"])
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def test_alias_spellings_recognized(self, opencode_go_profile, model):
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extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": "max"},
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model=model,
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)
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assert top_level == {"reasoning_effort": "max"}
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class TestOpenCodeGoModelGating:
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"""Other OpenCode Go models must not receive Kimi/DeepSeek/GLM controls."""
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@pytest.mark.parametrize(
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"model",
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[
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"glm-5.1",
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"glm-5",
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"qwen3.6-plus",
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"minimax-m2.7",
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"deepseek-v3.1",
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"deepseek-chat",
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"",
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None,
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],
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)
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def test_non_target_models_emit_nothing(self, opencode_go_profile, model):
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extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": "high"},
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model=model,
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)
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assert extra_body == {}
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assert top_level == {}
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class TestOpenCodeGoFullKwargsIntegration:
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"""End-to-end transport kwargs include the profile-provided controls."""
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def test_kimi_reasoning_reaches_extra_body_and_top_level(self, opencode_go_profile):
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from agent.transports.chat_completions import ChatCompletionsTransport
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kwargs = ChatCompletionsTransport().build_kwargs(
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model="kimi-k2.6",
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messages=[{"role": "user", "content": "ping"}],
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tools=None,
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provider_profile=opencode_go_profile,
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reasoning_config={"enabled": True, "effort": "high"},
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base_url="https://opencode.ai/zen/go/v1",
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)
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assert "extra_body" not in kwargs
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assert kwargs["reasoning_effort"] == "high"
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def test_deepseek_thinking_reaches_extra_body_and_top_level(
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self, opencode_go_profile
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):
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from agent.transports.chat_completions import ChatCompletionsTransport
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kwargs = ChatCompletionsTransport().build_kwargs(
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model="deepseek-v4-pro",
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messages=[{"role": "user", "content": "ping"}],
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tools=None,
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provider_profile=opencode_go_profile,
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reasoning_config={"enabled": True, "effort": "high"},
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base_url="https://opencode.ai/zen/go/v1",
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)
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assert "extra_body" not in kwargs
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assert kwargs["reasoning_effort"] == "high"
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def test_opencode_go_plan_windows_reach_usage_through_profile_hook(opencode_go_profile, monkeypatch):
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"""The Go plan's rolling/weekly/monthly windows feed /usage via the profile hook — no core table entry."""
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from datetime import datetime, timezone
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from agent.account_usage import fetch_account_usage, render_account_usage_lines
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class _Response:
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status_code = 200
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def raise_for_status(self):
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return None
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def json(self):
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return {"usage": {
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"rolling": {"status": "ok", "percent": 3, "resetsAt": "2026-09-16T21:44:55.176Z"},
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"weekly": {"status": "ok", "percent": 2, "resetsAt": "2026-09-21T00:00:00.176Z"},
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"monthly": {"status": "ok", "percent": 2, "resetsAt": "2026-10-13T02:13:38.176Z"},
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}}
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class _Client:
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def __init__(self, timeout=None):
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self.urls = []
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def __enter__(self):
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return self
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def __exit__(self, *exc):
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return False
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def get(self, url, headers=None):
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self.urls.append(url)
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return _Response()
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monkeypatch.setattr("httpx.Client", _Client)
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monkeypatch.setattr(
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"hermes_cli.runtime_provider.resolve_runtime_provider",
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# /v1 stripped, as anthropic_messages routing leaves it — the hook must not reuse this base_url.
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lambda requested, explicit_base_url=None, explicit_api_key=None: {
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"provider": "opencode-go", "base_url": "https://opencode.ai/zen/go", "api_key": "sk-test"},
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)
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snapshot = fetch_account_usage("opencode-go")
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assert snapshot is not None and snapshot.provider == "opencode-go"
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assert [(w.label, w.used_percent) for w in snapshot.windows] == [
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("Rolling window", 3.0), ("Weekly", 2.0), ("Monthly", 2.0)]
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assert snapshot.windows[0].reset_at == datetime(2026, 9, 16, 21, 44, 55, 176000, tzinfo=timezone.utc)
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assert "97% remaining (3% used)" in "\n".join(render_account_usage_lines(snapshot))
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