refactor: use a single agent model path

This commit is contained in:
wuyang
2026-07-26 18:50:51 +08:00
parent 2e8e81c790
commit d95d06233f
23 changed files with 330 additions and 454 deletions
+24 -20
View File
@@ -1,23 +1,27 @@
from agent_platform.models import MODEL_SPECS, get_model_spec, openai_model_list
def test_fixed_public_model_matrix() -> None:
assert set(MODEL_SPECS) == {
"chat-light",
"chat-medium",
"chat-high",
"chat-extreme",
"work-light",
"work-medium",
"work-high",
"work-extreme",
}
assert get_model_spec("chat-light").provider_model == "ChatGPT-5.6:Luna"
assert get_model_spec("work-medium").provider_model == "ChatGPT-5.6:Terra"
assert get_model_spec("work-high").provider_model == "ChatGPT-5.6:Sol"
extreme = get_model_spec("work-extreme")
assert extreme.provider == "deepseek"
assert extreme.provider_model == "deepseek-v4-pro"
assert extreme.thinking_enabled is True
assert extreme.reasoning_effort == "max"
assert {item["id"] for item in openai_model_list()["data"]} == set(MODEL_SPECS)
def test_fixed_public_model_catalog_separates_model_and_thinking() -> None:
assert set(MODEL_SPECS) == {"luna", "terra", "sol", "deepseek-v4-pro"}
assert get_model_spec("luna").provider_model == "ChatGPT-5.6:Luna"
assert get_model_spec("terra").provider_model == "ChatGPT-5.6:Terra"
assert get_model_spec("sol").provider_model == "ChatGPT-5.6:Sol"
for model_id in ("luna", "terra", "sol"):
spec = get_model_spec(model_id)
assert spec.thinking_enabled is True
assert spec.thinking_adjustable is False
assert spec.thinking_label == "开启(不分档)"
assert spec.reasoning_effort is None
deepseek = get_model_spec("deepseek-v4-pro")
assert deepseek.provider == "deepseek"
assert deepseek.provider_model == "deepseek-v4-pro"
assert deepseek.thinking_enabled is True
assert deepseek.thinking_adjustable is False
assert deepseek.thinking_label == "极高"
assert deepseek.reasoning_effort == "max"
public_models = openai_model_list()["data"]
assert {item["id"] for item in public_models} == set(MODEL_SPECS)
assert all("k1412" in item for item in public_models)