nanobot/tests/config/test_model_presets.py
chengyongru 6f78267c82 feat(config): add ModelPresetConfig and runtime preset switching
- Add `ModelPresetConfig` schema for named model presets
- Add `model_presets` dict to `Config` and `model_preset` field to `AgentDefaults`
- Add `resolve_preset()` to return effective model params from preset or defaults
- Add `@model_validator` to reject unknown preset names
- Update `_match_provider()` to use resolved preset model/provider
- Update `make_provider()` and `provider_signature()` to use `resolve_preset()`
- Add `model_preset` property to `AgentLoop` for atomic runtime switching
- Update `AgentLoop.from_config()` to inject a runtime `default` preset
- Wire self-tool to inspect/clear preset state
- Update CLI display strings to show active preset
2026-05-12 20:06:22 +08:00

94 lines
2.8 KiB
Python

from nanobot.config.schema import Config, ModelPresetConfig
def test_resolve_preset_returns_defaults_when_no_preset() -> None:
config = Config()
resolved = config.resolve_preset()
assert resolved.model == config.agents.defaults.model
assert resolved.provider == config.agents.defaults.provider
assert resolved.max_tokens == config.agents.defaults.max_tokens
assert resolved.context_window_tokens == config.agents.defaults.context_window_tokens
assert resolved.temperature == config.agents.defaults.temperature
assert resolved.reasoning_effort == config.agents.defaults.reasoning_effort
def test_resolve_preset_returns_active_preset() -> None:
config = Config.model_validate({
"model_presets": {
"fast": {
"model": "openai/gpt-4.1",
"provider": "openai",
"maxTokens": 4096,
"contextWindowTokens": 32_768,
"temperature": 0.5,
"reasoningEffort": "low",
}
},
"agents": {
"defaults": {
"modelPreset": "fast",
}
},
})
resolved = config.resolve_preset()
assert resolved.model == "openai/gpt-4.1"
assert resolved.provider == "openai"
assert resolved.max_tokens == 4096
assert resolved.context_window_tokens == 32_768
assert resolved.temperature == 0.5
assert resolved.reasoning_effort == "low"
def test_validator_rejects_unknown_preset() -> None:
import pytest
with pytest.raises(ValueError, match="model_preset 'unknown' not found in model_presets"):
Config.model_validate({
"agents": {
"defaults": {
"modelPreset": "unknown",
}
}
})
def test_match_provider_uses_preset_model() -> None:
config = Config.model_validate({
"providers": {
"openai": {"apiKey": "sk-test"},
},
"model_presets": {
"fast": {
"model": "openai/gpt-4.1",
"provider": "openai",
}
},
"agents": {
"defaults": {
"modelPreset": "fast",
}
},
})
name = config.get_provider_name()
assert name == "openai"
def test_match_provider_uses_preset_provider_when_forced() -> None:
config = Config.model_validate({
"providers": {
"anthropic": {"apiKey": "sk-test"},
},
"model_presets": {
"fast": {
"model": "anthropic/claude-opus-4-5",
"provider": "anthropic",
}
},
"agents": {
"defaults": {
"modelPreset": "fast",
}
},
})
name = config.get_provider_name()
assert name == "anthropic"