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config: rename the DeepSeek flash model to deepseek-flash

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DeepSeek dropped the `v4` prefix from its flash model, and the old id stays
valid only as a compatibility alias. Seed the default catalog with the current
name so a provider that omits `models` no longer offers a deprecated id, and
follow the rename in the wire fixtures and the minimal config template. An
explicit `deepseek-v4-flash` in TOML still passes through unchanged.
This commit is contained in:
worldmozara
2026-10-06 21:22:35 +08:00
parent 35dbd30328
commit ec5340bdce
10 changed files with 28 additions and 28 deletions
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tests/test_config/test_config.py
+8 -8
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@@ -46,8 +46,8 @@ def test_read_valid_config() -> None:
assert isinstance(providers["test3"], AnthropicProvider)
assert isinstance(providers["foo1"], DeepseekProvider)
# TOML omitted models → DeepSeek defaults.
assert set(providers["foo1"].models) == {"deepseek-v4-flash", "deepseek-v4-pro"}
assert providers["foo1"].models["deepseek-v4-flash"].text is True
assert set(providers["foo1"].models) == {"deepseek-flash", "deepseek-v4-pro"}
assert providers["foo1"].models["deepseek-flash"].text is True
db = config.database
assert db["implementation"] == "sqlite"
assert db["url"] == ":memory:"
@@ -57,7 +57,7 @@ def test_read_valid_config() -> None:
def test_deepseek_default_models_on_construct() -> None:
provider = DeepseekProvider(access_key_or_token="sk-test")
assert set(provider.models) == {"deepseek-v4-flash", "deepseek-v4-pro"}
assert set(provider.models) == {"deepseek-flash", "deepseek-v4-pro"}
def test_openai_default_models_on_construct() -> None:
@@ -179,7 +179,7 @@ preset = "deepseek"
access_key_or_token = "sk-test"
[providers.ds.models]
"deepseek-v4-flash" = { text = true, convention = "responses" }
"deepseek-flash" = { text = true, convention = "responses" }
"deepseek-v4-pro" = { text = true }
""",
encoding="utf-8",
@@ -187,7 +187,7 @@ access_key_or_token = "sk-test"
config = plyngent.config.load(path)
provider = config.providers["ds"]
assert isinstance(provider, DeepseekProvider)
assert provider.models["deepseek-v4-flash"].convention == "responses"
assert provider.models["deepseek-flash"].convention == "responses"
assert provider.models["deepseek-v4-pro"].convention == ""
@@ -314,7 +314,7 @@ reasoning_effort = "high"
[providers.ds.models]
"deepseek-v4-pro" = { text = true, reasoning_effort = "max", thinking_budget_tokens = 32000 }
"deepseek-v4-flash" = { text = true }
"deepseek-flash" = { text = true }
""",
encoding="utf-8",
)
@@ -327,8 +327,8 @@ reasoning_effort = "high"
assert provider.thinking_budget_tokens == 0
assert provider.models["deepseek-v4-pro"].reasoning_effort == "max"
assert provider.models["deepseek-v4-pro"].thinking_budget_tokens == 32000
assert provider.models["deepseek-v4-flash"].reasoning_effort == ""
assert provider.models["deepseek-v4-flash"].thinking_budget_tokens == 0
assert provider.models["deepseek-flash"].reasoning_effort == ""
assert provider.models["deepseek-flash"].thinking_budget_tokens == 0
def test_reasoning_effort_defaults_are_unset(tmp_path: Path) -> None: