feat(config): support object-style fallback_models with per-model settings

Add support for object-style entries in fallback_models arrays, enabling
per-model configuration of variant, reasoningEffort, temperature, top_p,
maxTokens, and thinking settings.

- Zod schema for FallbackModelObject with full validation
- normalizeFallbackModels() and flattenToFallbackModelStrings() utilities
- Provider-agnostic model resolution pipeline with fallback chain
- Session prompt params state management
- Fallback chain construction with prefix-match lookup
- Integration across delegate-task, background-agent, and plugin layers
This commit is contained in:
Ravi Tharuma
2026-03-18 14:21:27 +01:00
parent 7761e48dca
commit a77a16c494
34 changed files with 1686 additions and 126 deletions
+18
View File
@@ -1,3 +1,5 @@
import { getSessionPromptParams } from "../shared/session-prompt-params-state"
export type ChatParamsInput = {
sessionID: string
agent: { name?: string }
@@ -82,6 +84,22 @@ export function createChatParamsHandler(args: {
if (!normalizedInput) return
if (!isChatParamsOutput(output)) return
const storedPromptParams = getSessionPromptParams(normalizedInput.sessionID)
if (storedPromptParams) {
if (storedPromptParams.temperature !== undefined) {
output.temperature = storedPromptParams.temperature
}
if (storedPromptParams.topP !== undefined) {
output.topP = storedPromptParams.topP
}
if (storedPromptParams.options) {
output.options = {
...output.options,
...storedPromptParams.options,
}
}
}
await args.anthropicEffort?.["chat.params"]?.(normalizedInput, output)
}
}