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
parent 1175420339
commit 6f78267c82
8 changed files with 348 additions and 33 deletions
@@ -0,0 +1,93 @@
+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"