hermes-agent/tests/plugins/model_providers/test_opencode_go_profile.py
teknium1 70aaa774be fix(opencode-go): emit Kimi reasoning_effort, match KimiProfile shape
The Kimi K2 branch added in the prior commit only emitted extra_body.thinking
and dropped reasoning_effort entirely. KimiProfile (api.moonshot.ai/v1) sends
both fields, and OpenCode Go proxies to the same Moonshot backend. Mirror that
shape on the Go path so /reasoning effort actually reaches Kimi.

- low/medium/high pass through verbatim
- xhigh/max clamp to high (Moonshot's max supported value)
- minimal / unknown effort → omit reasoning_effort, keep thinking on
- disabled / no config → unchanged
- DeepSeek branch unchanged
2026-05-23 02:20:28 -07:00

180 lines
7 KiB
Python

"""Unit tests for OpenCode Go reasoning-control wiring."""
from __future__ import annotations
import pytest
@pytest.fixture
def opencode_go_profile():
"""Resolve the registered OpenCode Go provider profile."""
import model_tools # noqa: F401
import providers
profile = providers.get_provider_profile("opencode-go")
assert profile is not None, "opencode-go provider profile must be registered"
return profile
class TestOpenCodeGoKimiReasoning:
"""Kimi K2 models use Moonshot's thinking + reasoning_effort shape on OpenCode Go."""
def test_high_effort_emits_thinking_and_effort(self, opencode_go_profile):
extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
reasoning_config={"enabled": True, "effort": "high"},
model="kimi-k2.6",
)
assert extra_body == {"thinking": {"type": "enabled"}}
assert top_level == {"reasoning_effort": "high"}
def test_disabled_emits_thinking_disabled_without_effort(self, opencode_go_profile):
extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
reasoning_config={"enabled": False},
model="kimi-k2.6",
)
assert extra_body == {"thinking": {"type": "disabled"}}
assert top_level == {}
def test_minimal_effort_enables_thinking_without_effort(self, opencode_go_profile):
# "minimal" is not a Moonshot-supported value — drop it, keep thinking on.
extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
reasoning_config={"enabled": True, "effort": "minimal"},
model="kimi-k2.6",
)
assert extra_body == {"thinking": {"type": "enabled"}}
assert top_level == {}
@pytest.mark.parametrize(
"effort",
[
"xhigh",
"max",
],
)
def test_strong_efforts_clamp_to_high(self, opencode_go_profile, effort):
extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
reasoning_config={"enabled": True, "effort": effort},
model="moonshotai/kimi-k2.6",
)
assert extra_body == {"thinking": {"type": "enabled"}}
assert top_level == {"reasoning_effort": "high"}
def test_low_and_medium_pass_through(self, opencode_go_profile):
for effort in ("low", "medium"):
extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
reasoning_config={"enabled": True, "effort": effort},
model="kimi-k2.5",
)
assert extra_body == {"thinking": {"type": "enabled"}}
assert top_level == {"reasoning_effort": effort}
def test_no_config_preserves_server_default(self, opencode_go_profile):
extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
reasoning_config=None,
model="kimi-k2.6",
)
assert extra_body == {}
assert top_level == {}
class TestOpenCodeGoDeepSeekThinking:
"""DeepSeek V4 models use DeepSeek-style thinking controls on OpenCode Go."""
def test_high_effort_emits_thinking_and_effort(self, opencode_go_profile):
extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
reasoning_config={"enabled": True, "effort": "high"},
model="deepseek-v4-pro",
)
assert extra_body == {"thinking": {"type": "enabled"}}
assert top_level == {"reasoning_effort": "high"}
def test_disabled_emits_thinking_disabled_without_effort(self, opencode_go_profile):
extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
reasoning_config={"enabled": False, "effort": "high"},
model="deepseek-v4-pro",
)
assert extra_body == {"thinking": {"type": "disabled"}}
assert top_level == {}
def test_no_config_emits_thinking_enabled_without_effort(self, opencode_go_profile):
extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
reasoning_config=None,
model="deepseek-v4-pro",
)
assert extra_body == {"thinking": {"type": "enabled"}}
assert top_level == {}
def test_minimal_effort_enables_thinking_without_effort(self, opencode_go_profile):
extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
reasoning_config={"enabled": True, "effort": "minimal"},
model="deepseek-v4-pro",
)
assert extra_body == {"thinking": {"type": "enabled"}}
assert top_level == {}
def test_xhigh_and_max_normalize_to_max(self, opencode_go_profile):
for effort in ("xhigh", "max"):
extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
reasoning_config={"enabled": True, "effort": effort},
model="deepseek/deepseek-v4-pro",
)
assert extra_body == {"thinking": {"type": "enabled"}}
assert top_level == {"reasoning_effort": "max"}
class TestOpenCodeGoModelGating:
"""Other OpenCode Go models must not receive Kimi/DeepSeek controls."""
@pytest.mark.parametrize(
"model",
[
"glm-5.1",
"qwen3.6-plus",
"minimax-m2.7",
"deepseek-v3.1",
"deepseek-chat",
"",
None,
],
)
def test_non_target_models_emit_nothing(self, opencode_go_profile, model):
extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
reasoning_config={"enabled": True, "effort": "high"},
model=model,
)
assert extra_body == {}
assert top_level == {}
class TestOpenCodeGoFullKwargsIntegration:
"""End-to-end transport kwargs include the profile-provided controls."""
def test_kimi_reasoning_reaches_extra_body_and_top_level(self, opencode_go_profile):
from agent.transports.chat_completions import ChatCompletionsTransport
kwargs = ChatCompletionsTransport().build_kwargs(
model="kimi-k2.6",
messages=[{"role": "user", "content": "ping"}],
tools=None,
provider_profile=opencode_go_profile,
reasoning_config={"enabled": True, "effort": "high"},
base_url="https://opencode.ai/zen/go/v1",
)
assert kwargs["extra_body"] == {"thinking": {"type": "enabled"}}
assert kwargs["reasoning_effort"] == "high"
def test_deepseek_thinking_reaches_extra_body_and_top_level(
self, opencode_go_profile
):
from agent.transports.chat_completions import ChatCompletionsTransport
kwargs = ChatCompletionsTransport().build_kwargs(
model="deepseek-v4-pro",
messages=[{"role": "user", "content": "ping"}],
tools=None,
provider_profile=opencode_go_profile,
reasoning_config={"enabled": True, "effort": "high"},
base_url="https://opencode.ai/zen/go/v1",
)
assert kwargs["extra_body"] == {"thinking": {"type": "enabled"}}
assert kwargs["reasoning_effort"] == "high"