@juspay/neurolink/dist/providers/anthropic/cacheControl.d.ts

The pipe layer of an AI nervous system: one interface connecting provider neurons to your application, across three inference types — generate, stream and decide. `decide` returns typed, calibrated judgements from a non-generative model (~400ms, ~$0.00002

import type Anthropic from "@anthropic-ai/sdk";
/**
 * Default the tool cache boundary to the last tool, unless the caller chose one.
 *
 * Tool definitions sit between the system prompt and the conversation and
 * rarely change, so with no breakpoint closing that prefix the whole tools
 * block is re-billed as fresh input every turn.
 *
 * Call it after every tool mutation — including any appended `final_result`
 * tool — and before counting markers for the remaining history budget.
 * Explicit caller markers are preserved, including a non-last boundary.
 * Both generate and stream apply the same default.
 *
 * Pure — returns a new array. A tool that already carries a breakpoint wins.
 */
export declare const withLastToolCacheBreakpoint: (tools: Anthropic.Messages.Tool[] | undefined) => Anthropic.Messages.Tool[] | undefined;
/**
 * Read an Anthropic cache breakpoint from a message/part/tool carrier that
 * still carries `providerOptions.anthropic.cacheControl` — i.e. BEFORE
 * conversion to the Anthropic wire shape. MessageBuilder marks system messages
 * that way. Tools are marked after conversion, by
 * `withLastToolCacheBreakpoint`, which reads the wire-shaped `cache_control`
 * instead; do not use this reader on an assembled tool.
 *
 * Extracted from anthropic/client.ts so `src/lib/core/nativeToolFormat.ts`
 * can share it without importing the provider client (which would create a
 * circular import: client.ts -> core/nativeToolFormat.ts -> client.ts).
 */
export declare const cacheControlOf: (carrier: unknown) => Anthropic.Messages.CacheControlEphemeral | undefined;