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@vfarcic/dot-ai

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AI-powered development productivity platform that enhances software development workflows through intelligent automation and AI-driven assistance

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/** * AI SDK Retry Configuration * * Resolves the `maxRetries` value passed to Vercel AI SDK calls per operation * type. Different operations have different sensitivity profiles: * * embeddings: batch/background work, resilience over latency, higher retries * chat: interactive request/response, fail fast for responsiveness * tool_loop: multi-step agentic loops, moderate retries per step * wrap_up: final summary call after a tool loop, fail fast (we already * have a partial answer to fall back to) * * Defaults can be overridden globally or per-operation via env vars: * * DOT_AI_AI_MAX_RETRIES global default for all operations * DOT_AI_AI_MAX_RETRIES_EMBEDDINGS embeddings only * DOT_AI_AI_MAX_RETRIES_CHAT single-turn chat only * DOT_AI_AI_MAX_RETRIES_TOOL_LOOP agentic tool loop only * DOT_AI_AI_MAX_RETRIES_WRAP_UP wrap-up call after the tool loop * * Per-operation env vars take precedence over the global one. Invalid values * (non-integer, negative, NaN) are ignored and the next fallback is used. */ export type AIOperation = 'embeddings' | 'chat' | 'tool_loop' | 'wrap_up'; /** * Resolve `maxRetries` for the given operation. Precedence: * 1. per-operation env var (if set and valid) * 2. global env var (if set and valid) * 3. per-operation default */ export declare function getMaxRetries(operation: AIOperation, env?: NodeJS.ProcessEnv): number; /** * Exported for tests that want to assert the configured defaults without * setting env vars. */ export declare const __defaults: Readonly<Record<AIOperation, number>>; //# sourceMappingURL=ai-retry-config.d.ts.map