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test/config: cover model-level preset routing
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@@ -20,7 +20,8 @@
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- memory: Storage controlling for sessions and messages.
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- router: Multi-source capability routing (Phase H; not implemented).
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- config: Plyngent configuration center (TOML), including ``[plugins]`` and
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``[networking]`` (e.g. fetch SSRF Fake-IP CIDR exemptions).
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``[networking]`` (e.g. fetch SSRF Fake-IP CIDR exemptions). Model entries
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may override provider ``preset`` / ``url`` for mixed API routing.
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- agent: Tool loop, streaming, usage, compact; `@tool` / tags / registry.
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- tools: Workspace file/process/VCS/chat/todo/net tools; catalog; plugins;
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instance/session context and views.
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@@ -87,6 +87,10 @@ access_key_or_token = "sk-replace-me"
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#
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# [providers.openai.models]
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# "gpt-4o-mini" = { text = true }
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# # Model-level preset/url overrides let one provider route models via different APIs.
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# # `preset = "openai"` means /responses; `openai-compatible` means /chat/completions;
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# # `anthropic` means native /messages (support planned).
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# # "claude-sonnet" = { text = true, preset = "anthropic", url = "https://api.anthropic.com/v1" }
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# --- DeepSeek (OpenAI-compatible convention) ---
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# Default models if [providers.*.models] is omitted: deepseek-v4-flash, deepseek-v4-pro.
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@@ -129,10 +129,10 @@ access_key_or_token = "sk"
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usage={},
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)
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monkeypatch.setattr("plyngent.cli.app.create_client", lambda _p: DummyClient())
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monkeypatch.setattr("plyngent.cli.app.create_client", lambda _p, **_kw: DummyClient())
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monkeypatch.setattr(
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"plyngent.cli.state.create_client",
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lambda _p: DummyClient(),
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lambda _p, **_kw: DummyClient(),
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)
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from platformdirs import user_data_path
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@@ -189,6 +189,30 @@ models = {}
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_ = config.promote_provider("hollow", [])
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def test_model_level_preset_url_overrides_parse(tmp_path: Path) -> None:
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path = tmp_path / "mixed.toml"
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_ = path.write_text(
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"""
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[providers.mixed]
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preset = "openai-compatible"
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url = "https://gateway.example/v1"
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access_key_or_token = "sk-test"
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[providers.mixed.models]
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"claude" = { text = true, preset = "anthropic", url = "https://api.anthropic.com/v1" }
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"qwen" = { text = true }
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""",
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encoding="utf-8",
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)
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config = plyngent.config.load(path)
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provider = config.providers["mixed"]
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assert isinstance(provider, OpenAICompatibleProvider)
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assert provider.models["claude"].preset == "anthropic"
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assert provider.models["claude"].url == "https://api.anthropic.com/v1"
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assert provider.models["qwen"].preset == ""
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assert provider.models["qwen"].url == ""
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def test_read_invalid_config() -> None:
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with pytest.raises(ConfigFormatError):
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_ = plyngent.config.load(Path(__file__).parent / "plyngent-invalid.toml")
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@@ -5,6 +5,7 @@ import pytest
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from plyngent.config.models import (
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AnthropicProvider,
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DeepseekProvider,
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ModelConfig,
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OpenAICompatibleProvider,
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OpenAIProvider,
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)
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@@ -65,16 +66,44 @@ def test_deepseek_openai_convention() -> None:
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assert "deepseek-v4-pro" in provider.models
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def test_deepseek_anthropic_convention_not_implemented() -> None:
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def test_deepseek_ignores_legacy_convention_extra() -> None:
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provider = DeepseekProvider(
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access_key_or_token="sk-test",
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extras={"convention": "anthropic"},
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)
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with pytest.raises(ProviderNotSupportedError, match="anthropic"):
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_ = create_client(provider)
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client = create_client(provider)
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assert isinstance(client, DeepseekOpenAIClient)
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def test_anthropic_not_implemented() -> None:
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provider = AnthropicProvider(access_key_or_token="sk-test")
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with pytest.raises(ProviderNotSupportedError, match="anthropic"):
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_ = create_client(provider)
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def test_model_level_preset_url_overrides_parent() -> None:
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provider = OpenAICompatibleProvider(
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access_key_or_token="sk-test",
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url="https://gateway.example/v1",
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models={
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"gpt": ModelConfig(preset="openai", url="https://api.openai.com/v1"),
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"qwen": ModelConfig(),
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},
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)
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openai_client = create_client(provider, model="gpt")
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assert openai_client.__class__.__name__ == "ResponsesChatClient"
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assert provider_to_openai_config(provider, model="gpt").base_url == "https://api.openai.com/v1"
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compat_client = create_client(provider, model="qwen")
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assert isinstance(compat_client, OpenAICompatibleClient)
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assert provider_to_openai_config(provider, model="qwen").base_url == "https://gateway.example/v1"
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def test_model_level_anthropic_preset_not_implemented() -> None:
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provider = OpenAICompatibleProvider(
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access_key_or_token="sk-test",
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url="https://gateway.example/v1",
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models={"claude": ModelConfig(preset="anthropic", url="https://api.anthropic.com/v1")},
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)
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with pytest.raises(ProviderNotSupportedError, match="anthropic"):
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_ = create_client(provider, model="claude")
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