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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

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import type { AIProviderName } from "../constants/enums.js"; import type { NeurolinkCredentials } from "../types/index.js"; import { OpenAIChatCompletionsProvider } from "./openaiChatCompletionsBase.js"; /** * llama.cpp Provider — direct HTTP, no AI SDK. * * Wraps a llama-server process (https://github.com/ggerganov/llama.cpp) that * exposes an OpenAI-compatible API at http://localhost:8080/v1 by default. * llama-server hosts ONE model loaded at startup; /v1/models returns just that. * All request/stream/tool-loop orchestration lives in * `OpenAIChatCompletionsProvider`; this class only declares configuration * and provider-specific error mapping. * * @see https://github.com/ggerganov/llama.cpp */ export declare class LlamaCppProvider extends OpenAIChatCompletionsProvider { constructor(modelName?: string, sdk?: unknown, _region?: string, credentials?: NeurolinkCredentials["llamacpp"]); validateConfiguration(): Promise<boolean>; protected getProviderName(): AIProviderName; protected getDefaultModel(): string; protected getFallbackModelName(): string; protected getFallbackModels(): string[]; protected formatProviderError(error: unknown): Error; }