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
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@@ -6,7 +6,7 @@ from dataclasses import dataclass
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from pathlib import Path
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from nanobot.config.schema import Config
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from nanobot.providers.base import GenerationSettings, LLMProvider
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from nanobot.providers.base import LLMProvider
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from nanobot.providers.registry import find_by_name
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@@ -20,7 +20,8 @@ class ProviderSnapshot:
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def make_provider(config: Config) -> LLMProvider:
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"""Create the LLM provider implied by config."""
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model = config.agents.defaults.model
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resolved = config.resolve_preset()
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model = resolved.model
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provider_name = config.get_provider_name(model)
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p = config.get_provider(model)
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spec = find_by_name(provider_name) if provider_name else None
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@@ -83,42 +84,37 @@ def make_provider(config: Config) -> LLMProvider:
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extra_body=p.extra_body if p else None,
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)
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defaults = config.agents.defaults
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provider.generation = GenerationSettings(
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temperature=defaults.temperature,
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max_tokens=defaults.max_tokens,
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reasoning_effort=defaults.reasoning_effort,
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)
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provider.generation = resolved.to_generation_settings()
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return provider
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def provider_signature(config: Config) -> tuple[object, ...]:
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"""Return the config fields that affect the primary LLM provider."""
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model = config.agents.defaults.model
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defaults = config.agents.defaults
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p = config.get_provider(model)
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resolved = config.resolve_preset()
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p = config.get_provider(resolved.model)
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return (
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model,
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defaults.provider,
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config.get_provider_name(model),
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config.get_api_key(model),
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config.get_api_base(model),
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resolved.model,
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resolved.provider,
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config.get_provider_name(resolved.model),
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config.get_api_key(resolved.model),
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config.get_api_base(resolved.model),
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p.extra_headers if p else None,
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p.extra_body if p else None,
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getattr(p, "region", None) if p else None,
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getattr(p, "profile", None) if p else None,
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defaults.max_tokens,
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defaults.temperature,
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defaults.reasoning_effort,
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defaults.context_window_tokens,
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resolved.max_tokens,
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resolved.temperature,
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resolved.reasoning_effort,
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resolved.context_window_tokens,
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)
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def build_provider_snapshot(config: Config) -> ProviderSnapshot:
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resolved = config.resolve_preset()
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return ProviderSnapshot(
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provider=make_provider(config),
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model=config.agents.defaults.model,
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context_window_tokens=config.agents.defaults.context_window_tokens,
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model=resolved.model,
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context_window_tokens=resolved.context_window_tokens,
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signature=provider_signature(config),
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)
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