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Revert "feat(runner): support structured fallback models"

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This reverts commit 02b059a616.
This commit is contained in:
Xubin Ren
2026-05-13 14:11:08 +00:00
parent 02b059a616
commit 43db848db0
5 changed files with 42 additions and 325 deletions
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docs/configuration.md
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@@ -672,12 +672,6 @@ Existing configs do not need to change. If you do not set `modelPresets` or `age
"maxTokens": 8192,
"contextWindowTokens": 128000,
"temperature": 0.1,
"fallbackModels": [
{
"provider": "anthropic",
"model": "anthropic/claude-sonnet-4-6"
}
],
"modelPreset": null
}
},
@@ -688,17 +682,7 @@ Existing configs do not need to change. If you do not set `modelPresets` or `age
"maxTokens": 4096,
"contextWindowTokens": 128000,
"temperature": 0.2,
"reasoningEffort": "low",
"fallbackModels": [
{
"provider": "deepseek",
"model": "deepseek/deepseek-chat",
"maxTokens": 4096,
"contextWindowTokens": 64000,
"temperature": 0.1,
"reasoningEffort": null
}
]
"reasoningEffort": "low"
},
"deep": {
"model": "anthropic/claude-opus-4-5",
@@ -721,53 +705,9 @@ Existing configs do not need to change. If you do not set `modelPresets` or `age
| `contextWindowTokens` | Context window size used by prompt building and consolidation decisions. |
| `temperature` | Sampling temperature. |
| `reasoningEffort` | Optional reasoning/thinking setting. Provider support varies. |
| `fallbackModels` | Optional ordered fallback models for this active configuration only. |
`default` is reserved and always means the implicit preset built from `agents.defaults.*`; do not define `modelPresets.default`. Use `/model default` to switch back to `agents.defaults.*`.
### Model Fallbacks
`fallbackModels` belongs to the currently active model configuration. If the active configuration is `agents.defaults`, only `agents.defaults.fallbackModels` is used. If the active configuration is `modelPresets.fast`, only `modelPresets.fast.fallbackModels` is used. nanobot does not inherit or merge fallbacks between defaults and presets.
Each fallback entry must include at least `provider` and `model`. The other fields are optional; omitted values inherit from the active primary configuration for that request.
```json
{
"modelPresets": {
"fast": {
"model": "MiniMax-M2.7-highspeed",
"provider": "minimaxAnthropic",
"maxTokens": 4096,
"contextWindowTokens": 262144,
"temperature": 0.1,
"reasoningEffort": null,
"fallbackModels": [
{
"provider": "deepseek",
"model": "deepseek-v4-pro",
"maxTokens": 4096,
"contextWindowTokens": 262144,
"temperature": 0.1,
"reasoningEffort": null
}
]
},
"deep": {
"model": "deepseek-v4-pro",
"provider": "deepseek",
"maxTokens": 4096,
"contextWindowTokens": 262144,
"temperature": 0.1,
"reasoningEffort": null
}
}
}
```
In this example, `/model fast` can fail over to DeepSeek, but `/model deep` has no fallback because the `deep` preset does not define `fallbackModels`.
Failover only runs when the primary model returns an error before any answer text has been streamed. Fallback models are tried in order. If a fallback has a smaller `contextWindowTokens`, nanobot uses the smallest window in the active chain when building context so the fallback can receive the same prompt.
Set `agents.defaults.modelPreset` to start with a named preset:
```json