import { type CreateModelParams, type PluginModelResult, type ResolveContext, type LlmConfigInput } from "../../../../schemas/index";
export declare const llmPlugin: {
    modelType: "llamacpp-completion";
    displayName: string;
    addonPackage: "@qvac/llm-llamacpp";
    loadConfigSchema: import("zod").ZodObject<{
        ctx_size: import("zod").ZodOptional<import("zod").ZodNumber>;
        temp: import("zod").ZodOptional<import("zod").ZodNumber>;
        top_p: import("zod").ZodOptional<import("zod").ZodNumber>;
        top_k: import("zod").ZodOptional<import("zod").ZodNumber>;
        seed: import("zod").ZodOptional<import("zod").ZodNumber>;
        gpu_layers: import("zod").ZodOptional<import("zod").ZodNumber>;
        lora: import("zod").ZodOptional<import("zod").ZodString>;
        device: import("zod").ZodOptional<import("zod").ZodString>;
        predict: import("zod").ZodOptional<import("zod").ZodUnion<readonly [import("zod").ZodLiteral<-1>, import("zod").ZodLiteral<-2>, import("zod").ZodNumber]>>;
        system_prompt: import("zod").ZodOptional<import("zod").ZodString>;
        no_mmap: import("zod").ZodOptional<import("zod").ZodBoolean>;
        verbosity: import("zod").ZodOptional<import("zod").ZodUnion<readonly [import("zod").ZodLiteral<0>, import("zod").ZodLiteral<1>, import("zod").ZodLiteral<2>, import("zod").ZodLiteral<3>]>>;
        presence_penalty: import("zod").ZodOptional<import("zod").ZodNumber>;
        frequency_penalty: import("zod").ZodOptional<import("zod").ZodNumber>;
        repeat_penalty: import("zod").ZodOptional<import("zod").ZodNumber>;
        stop_sequences: import("zod").ZodOptional<import("zod").ZodArray<import("zod").ZodString>>;
        n_discarded: import("zod").ZodOptional<import("zod").ZodNumber>;
        tools: import("zod").ZodOptional<import("zod").ZodBoolean>;
        toolsMode: import("zod").ZodOptional<import("zod").ZodEnum<{
            static: "static";
            dynamic: "dynamic";
        }>>;
        "cache-type-k": import("zod").ZodOptional<import("zod").ZodString>;
        "cache-type-v": import("zod").ZodOptional<import("zod").ZodString>;
        "main-gpu": import("zod").ZodOptional<import("zod").ZodUnion<readonly [import("zod").ZodNumber, import("zod").ZodEnum<{
            integrated: "integrated";
            dedicated: "dedicated";
        }>]>>;
        "split-mode": import("zod").ZodOptional<import("zod").ZodEnum<{
            none: "none";
            layer: "layer";
            row: "row";
        }>>;
        "tensor-split": import("zod").ZodOptional<import("zod").ZodString>;
        openclCacheDir: import("zod").ZodOptional<import("zod").ZodString>;
        reasoning_budget: import("zod").ZodOptional<import("zod").ZodUnion<readonly [import("zod").ZodLiteral<-1>, import("zod").ZodLiteral<0>]>>;
        projectionModelSrc: import("zod").ZodOptional<import("zod").ZodUnion<readonly [import("zod").ZodString, import("zod").ZodObject<{
            src: import("zod").ZodString;
            name: import("zod").ZodOptional<import("zod").ZodString>;
            modelId: import("zod").ZodOptional<import("zod").ZodString>;
            registryPath: import("zod").ZodOptional<import("zod").ZodString>;
            registrySource: import("zod").ZodOptional<import("zod").ZodString>;
            blobCoreKey: import("zod").ZodOptional<import("zod").ZodString>;
            blobIndex: import("zod").ZodOptional<import("zod").ZodNumber>;
            engine: import("zod").ZodOptional<import("zod").ZodString>;
            expectedSize: import("zod").ZodOptional<import("zod").ZodNumber>;
            sha256Checksum: import("zod").ZodOptional<import("zod").ZodString>;
            addon: import("zod").ZodOptional<import("zod").ZodUnion<readonly [import("zod").ZodEnum<{
                embeddings: "embeddings";
                diffusion: "diffusion";
                tts: "tts";
                ocr: "ocr";
                vla: "vla";
                "llamacpp-completion": "llamacpp-completion";
                "whispercpp-transcription": "whispercpp-transcription";
                "bci-whispercpp-transcription": "bci-whispercpp-transcription";
                "llamacpp-embedding": "llamacpp-embedding";
                "nmtcpp-translation": "nmtcpp-translation";
                "onnx-tts": "onnx-tts";
                "tts-ggml": "tts-ggml";
                "parakeet-transcription": "parakeet-transcription";
                "onnx-ocr": "onnx-ocr";
                "sdcpp-generation": "sdcpp-generation";
                "ggml-vla": "ggml-vla";
                "ggml-classification": "ggml-classification";
                llm: "llm";
                whisper: "whisper";
                bci: "bci";
                nmt: "nmt";
                parakeet: "parakeet";
                classification: "classification";
            }>, import("zod").ZodLiteral<"vad">]>>;
        }, import("zod/v4/core").$strip>]>>;
    }, import("zod/v4/core").$strip>;
    resolveConfig(cfg: LlmConfigInput, ctx: ResolveContext): Promise<{
        config: {
            ctx_size?: number | undefined;
            temp?: number | undefined;
            top_p?: number | undefined;
            top_k?: number | undefined;
            seed?: number | undefined;
            gpu_layers?: number | undefined;
            lora?: string | undefined;
            device?: string | undefined;
            predict?: number | undefined;
            system_prompt?: string | undefined;
            no_mmap?: boolean | undefined;
            verbosity?: 0 | 3 | 2 | 1 | undefined;
            presence_penalty?: number | undefined;
            frequency_penalty?: number | undefined;
            repeat_penalty?: number | undefined;
            stop_sequences?: string[] | undefined;
            n_discarded?: number | undefined;
            tools?: boolean | undefined;
            toolsMode?: "static" | "dynamic" | undefined;
            "cache-type-k"?: string | undefined;
            "cache-type-v"?: string | undefined;
            "main-gpu"?: number | "integrated" | "dedicated" | undefined;
            "split-mode"?: "none" | "layer" | "row" | undefined;
            "tensor-split"?: string | undefined;
            openclCacheDir?: string | undefined;
            reasoning_budget?: 0 | -1 | undefined;
        };
        artifacts?: never;
    } | {
        config: {
            ctx_size?: number | undefined;
            temp?: number | undefined;
            top_p?: number | undefined;
            top_k?: number | undefined;
            seed?: number | undefined;
            gpu_layers?: number | undefined;
            lora?: string | undefined;
            device?: string | undefined;
            predict?: number | undefined;
            system_prompt?: string | undefined;
            no_mmap?: boolean | undefined;
            verbosity?: 0 | 3 | 2 | 1 | undefined;
            presence_penalty?: number | undefined;
            frequency_penalty?: number | undefined;
            repeat_penalty?: number | undefined;
            stop_sequences?: string[] | undefined;
            n_discarded?: number | undefined;
            tools?: boolean | undefined;
            toolsMode?: "static" | "dynamic" | undefined;
            "cache-type-k"?: string | undefined;
            "cache-type-v"?: string | undefined;
            "main-gpu"?: number | "integrated" | "dedicated" | undefined;
            "split-mode"?: "none" | "layer" | "row" | undefined;
            "tensor-split"?: string | undefined;
            openclCacheDir?: string | undefined;
            reasoning_budget?: 0 | -1 | undefined;
        };
        artifacts: {
            projectionModelPath: string;
        };
    }>;
    createModel(params: CreateModelParams): PluginModelResult;
    handlers: {
        completionStream: import("../../../../schemas/index").PluginHandlerDefinition<import("zod").ZodObject<{
            history: import("zod").ZodArray<import("zod").ZodObject<{
                role: import("zod").ZodString;
                content: import("zod").ZodString;
                attachments: import("zod").ZodOptional<import("zod").ZodArray<import("zod").ZodObject<{
                    path: import("zod").ZodString;
                }, import("zod/v4/core").$strip>>>;
            }, import("zod/v4/core").$strip>>;
            modelId: import("zod").ZodString;
            tools: import("zod").ZodOptional<import("zod").ZodArray<import("zod").ZodObject<{
                type: import("zod").ZodLiteral<"function">;
                name: import("zod").ZodString;
                description: import("zod").ZodString;
                parameters: import("zod").ZodObject<{
                    type: import("zod").ZodLiteral<"object">;
                    properties: import("zod").ZodRecord<import("zod").ZodString, import("zod").ZodObject<{
                        type: import("zod").ZodEnum<{
                            string: "string";
                            number: "number";
                            boolean: "boolean";
                            object: "object";
                            array: "array";
                            integer: "integer";
                        }>;
                        description: import("zod").ZodOptional<import("zod").ZodString>;
                        enum: import("zod").ZodOptional<import("zod").ZodArray<import("zod").ZodString>>;
                    }, import("zod/v4/core").$strip>>;
                    required: import("zod").ZodOptional<import("zod").ZodArray<import("zod").ZodString>>;
                }, import("zod/v4/core").$strip>;
            }, import("zod/v4/core").$strip>>>;
            stream: import("zod").ZodBoolean;
            kvCache: import("zod").ZodOptional<import("zod").ZodUnion<readonly [import("zod").ZodBoolean, import("zod").ZodString]>>;
            generationParams: import("zod").ZodOptional<import("zod").ZodObject<{
                temp: import("zod").ZodOptional<import("zod").ZodNumber>;
                top_p: import("zod").ZodOptional<import("zod").ZodNumber>;
                top_k: import("zod").ZodOptional<import("zod").ZodNumber>;
                predict: import("zod").ZodOptional<import("zod").ZodNumber>;
                seed: import("zod").ZodOptional<import("zod").ZodNumber>;
                frequency_penalty: import("zod").ZodOptional<import("zod").ZodNumber>;
                presence_penalty: import("zod").ZodOptional<import("zod").ZodNumber>;
                repeat_penalty: import("zod").ZodOptional<import("zod").ZodNumber>;
                reasoning_budget: import("zod").ZodOptional<import("zod").ZodUnion<readonly [import("zod").ZodLiteral<-1>, import("zod").ZodLiteral<0>]>>;
            }, import("zod/v4/core").$strict>>;
            captureThinking: import("zod").ZodOptional<import("zod").ZodBoolean>;
            emitRawDeltas: import("zod").ZodOptional<import("zod").ZodBoolean>;
            toolDialect: import("zod").ZodOptional<import("zod").ZodEnum<{
                hermes: "hermes";
                pythonic: "pythonic";
                json: "json";
                harmony: "harmony";
                qwen35: "qwen35";
                gemma4: "gemma4";
            }>>;
            responseFormat: import("zod").ZodOptional<import("zod").ZodDiscriminatedUnion<[import("zod").ZodObject<{
                type: import("zod").ZodLiteral<"text">;
            }, import("zod/v4/core").$strict>, import("zod").ZodObject<{
                type: import("zod").ZodLiteral<"json_object">;
            }, import("zod/v4/core").$strict>, import("zod").ZodObject<{
                type: import("zod").ZodLiteral<"json_schema">;
                json_schema: import("zod").ZodObject<{
                    name: import("zod").ZodString;
                    description: import("zod").ZodOptional<import("zod").ZodString>;
                    schema: import("zod").ZodRecord<import("zod").ZodString, import("zod").ZodUnknown>;
                    strict: import("zod").ZodOptional<import("zod").ZodBoolean>;
                }, import("zod/v4/core").$strict>;
            }, import("zod/v4/core").$strict>], "type">>;
            requestId: import("zod").ZodOptional<import("zod").ZodString>;
            type: import("zod").ZodLiteral<"completionStream">;
        }, import("zod/v4/core").$strip>, import("zod").ZodObject<{
            type: import("zod").ZodLiteral<"completionStream">;
            done: import("zod").ZodOptional<import("zod").ZodBoolean>;
            events: import("zod").ZodArray<import("zod").ZodUnion<readonly [import("zod").ZodObject<{
                type: import("zod").ZodLiteral<"contentDelta">;
                seq: import("zod").ZodNumber;
                text: import("zod").ZodString;
            }, import("zod/v4/core").$strip>, import("zod").ZodObject<{
                type: import("zod").ZodLiteral<"rawDelta">;
                seq: import("zod").ZodNumber;
                text: import("zod").ZodString;
            }, import("zod/v4/core").$strip>, import("zod").ZodObject<{
                type: import("zod").ZodLiteral<"thinkingDelta">;
                seq: import("zod").ZodNumber;
                text: import("zod").ZodString;
            }, import("zod/v4/core").$strip>, import("zod").ZodObject<{
                type: import("zod").ZodLiteral<"toolCall">;
                seq: import("zod").ZodNumber;
                call: import("zod").ZodObject<{
                    id: import("zod").ZodString;
                    name: import("zod").ZodString;
                    arguments: import("zod").ZodRecord<import("zod").ZodString, import("zod").ZodUnknown>;
                    raw: import("zod").ZodOptional<import("zod").ZodString>;
                }, import("zod/v4/core").$strip>;
            }, import("zod/v4/core").$strip>, import("zod").ZodObject<{
                type: import("zod").ZodLiteral<"toolError">;
                seq: import("zod").ZodNumber;
                error: import("zod").ZodObject<{
                    code: import("zod").ZodEnum<{
                        PARSE_ERROR: "PARSE_ERROR";
                        VALIDATION_ERROR: "VALIDATION_ERROR";
                        UNKNOWN_TOOL: "UNKNOWN_TOOL";
                    }>;
                    message: import("zod").ZodString;
                    raw: import("zod").ZodOptional<import("zod").ZodString>;
                }, import("zod/v4/core").$strip>;
            }, import("zod/v4/core").$strip>, import("zod").ZodObject<{
                type: import("zod").ZodLiteral<"completionStats">;
                seq: import("zod").ZodNumber;
                stats: import("zod").ZodObject<{
                    timeToFirstToken: import("zod").ZodOptional<import("zod").ZodNumber>;
                    tokensPerSecond: import("zod").ZodOptional<import("zod").ZodNumber>;
                    cacheTokens: import("zod").ZodOptional<import("zod").ZodNumber>;
                    promptTokens: import("zod").ZodOptional<import("zod").ZodNumber>;
                    generatedTokens: import("zod").ZodOptional<import("zod").ZodNumber>;
                    backendDevice: import("zod").ZodOptional<import("zod").ZodEnum<{
                        cpu: "cpu";
                        gpu: "gpu";
                    }>>;
                }, import("zod/v4/core").$strip>;
            }, import("zod/v4/core").$strip>, import("zod").ZodObject<{
                type: import("zod").ZodLiteral<"completionDone">;
                seq: import("zod").ZodNumber;
                stopReason: import("zod").ZodLiteral<"error">;
                error: import("zod").ZodObject<{
                    message: import("zod").ZodString;
                }, import("zod/v4/core").$strip>;
                raw: import("zod").ZodOptional<import("zod").ZodObject<{
                    fullText: import("zod").ZodString;
                }, import("zod/v4/core").$strip>>;
            }, import("zod/v4/core").$strict>, import("zod").ZodObject<{
                type: import("zod").ZodLiteral<"completionDone">;
                seq: import("zod").ZodNumber;
                stopReason: import("zod").ZodOptional<import("zod").ZodEnum<{
                    cancelled: "cancelled";
                    eos: "eos";
                    length: "length";
                    stopSequence: "stopSequence";
                }>>;
                raw: import("zod").ZodOptional<import("zod").ZodObject<{
                    fullText: import("zod").ZodString;
                }, import("zod/v4/core").$strip>>;
            }, import("zod/v4/core").$strict>]>>;
        }, import("zod/v4/core").$strict>>;
        finetune: import("../../../../schemas/index").PluginHandlerDefinition<import("zod").ZodUnion<readonly [import("zod").ZodObject<{
            modelId: import("zod").ZodString;
            options: import("zod").ZodObject<{
                trainDatasetDir: import("zod").ZodString;
                validation: import("zod").ZodPipe<import("zod").ZodDiscriminatedUnion<[import("zod").ZodObject<{
                    type: import("zod").ZodLiteral<"none">;
                }, import("zod/v4/core").$strict>, import("zod").ZodObject<{
                    type: import("zod").ZodLiteral<"split">;
                    fraction: import("zod").ZodOptional<import("zod").ZodNumber>;
                }, import("zod/v4/core").$strict>, import("zod").ZodObject<{
                    type: import("zod").ZodLiteral<"dataset">;
                    path: import("zod").ZodString;
                }, import("zod/v4/core").$strict>], "type">, import("zod").ZodTransform<{
                    type: "none";
                } | {
                    type: "dataset";
                    path: string;
                } | {
                    fraction: number;
                    type: "split";
                }, {
                    type: "none";
                } | {
                    type: "split";
                    fraction?: number | undefined;
                } | {
                    type: "dataset";
                    path: string;
                }>>;
                outputParametersDir: import("zod").ZodString;
                numberOfEpochs: import("zod").ZodOptional<import("zod").ZodNumber>;
                learningRate: import("zod").ZodOptional<import("zod").ZodNumber>;
                contextLength: import("zod").ZodOptional<import("zod").ZodNumber>;
                batchSize: import("zod").ZodOptional<import("zod").ZodNumber>;
                microBatchSize: import("zod").ZodOptional<import("zod").ZodNumber>;
                assistantLossOnly: import("zod").ZodOptional<import("zod").ZodBoolean>;
                loraRank: import("zod").ZodOptional<import("zod").ZodNumber>;
                loraAlpha: import("zod").ZodOptional<import("zod").ZodNumber>;
                loraInitStd: import("zod").ZodOptional<import("zod").ZodNumber>;
                loraSeed: import("zod").ZodOptional<import("zod").ZodNumber>;
                loraModules: import("zod").ZodOptional<import("zod").ZodString>;
                checkpointSaveDir: import("zod").ZodOptional<import("zod").ZodString>;
                checkpointSaveSteps: import("zod").ZodOptional<import("zod").ZodNumber>;
                chatTemplatePath: import("zod").ZodOptional<import("zod").ZodString>;
                lrScheduler: import("zod").ZodOptional<import("zod").ZodEnum<{
                    constant: "constant";
                    cosine: "cosine";
                    linear: "linear";
                }>>;
                lrMin: import("zod").ZodOptional<import("zod").ZodNumber>;
                warmupRatio: import("zod").ZodOptional<import("zod").ZodNumber>;
                warmupRatioSet: import("zod").ZodOptional<import("zod").ZodBoolean>;
                warmupSteps: import("zod").ZodOptional<import("zod").ZodNumber>;
                warmupStepsSet: import("zod").ZodOptional<import("zod").ZodBoolean>;
                weightDecay: import("zod").ZodOptional<import("zod").ZodNumber>;
            }, import("zod/v4/core").$strict>;
            type: import("zod").ZodLiteral<"finetune">;
            operation: import("zod").ZodOptional<import("zod").ZodEnum<{
                start: "start";
                resume: "resume";
            }>>;
            withProgress: import("zod").ZodOptional<import("zod").ZodBoolean>;
            requestId: import("zod").ZodOptional<import("zod").ZodString>;
        }, import("zod/v4/core").$strict>, import("zod").ZodObject<{
            modelId: import("zod").ZodString;
            options: import("zod").ZodObject<{
                trainDatasetDir: import("zod").ZodString;
                validation: import("zod").ZodPipe<import("zod").ZodDiscriminatedUnion<[import("zod").ZodObject<{
                    type: import("zod").ZodLiteral<"none">;
                }, import("zod/v4/core").$strict>, import("zod").ZodObject<{
                    type: import("zod").ZodLiteral<"split">;
                    fraction: import("zod").ZodOptional<import("zod").ZodNumber>;
                }, import("zod/v4/core").$strict>, import("zod").ZodObject<{
                    type: import("zod").ZodLiteral<"dataset">;
                    path: import("zod").ZodString;
                }, import("zod/v4/core").$strict>], "type">, import("zod").ZodTransform<{
                    type: "none";
                } | {
                    type: "dataset";
                    path: string;
                } | {
                    fraction: number;
                    type: "split";
                }, {
                    type: "none";
                } | {
                    type: "split";
                    fraction?: number | undefined;
                } | {
                    type: "dataset";
                    path: string;
                }>>;
                outputParametersDir: import("zod").ZodString;
                numberOfEpochs: import("zod").ZodOptional<import("zod").ZodNumber>;
                learningRate: import("zod").ZodOptional<import("zod").ZodNumber>;
                contextLength: import("zod").ZodOptional<import("zod").ZodNumber>;
                batchSize: import("zod").ZodOptional<import("zod").ZodNumber>;
                microBatchSize: import("zod").ZodOptional<import("zod").ZodNumber>;
                assistantLossOnly: import("zod").ZodOptional<import("zod").ZodBoolean>;
                loraRank: import("zod").ZodOptional<import("zod").ZodNumber>;
                loraAlpha: import("zod").ZodOptional<import("zod").ZodNumber>;
                loraInitStd: import("zod").ZodOptional<import("zod").ZodNumber>;
                loraSeed: import("zod").ZodOptional<import("zod").ZodNumber>;
                loraModules: import("zod").ZodOptional<import("zod").ZodString>;
                checkpointSaveDir: import("zod").ZodOptional<import("zod").ZodString>;
                checkpointSaveSteps: import("zod").ZodOptional<import("zod").ZodNumber>;
                chatTemplatePath: import("zod").ZodOptional<import("zod").ZodString>;
                lrScheduler: import("zod").ZodOptional<import("zod").ZodEnum<{
                    constant: "constant";
                    cosine: "cosine";
                    linear: "linear";
                }>>;
                lrMin: import("zod").ZodOptional<import("zod").ZodNumber>;
                warmupRatio: import("zod").ZodOptional<import("zod").ZodNumber>;
                warmupRatioSet: import("zod").ZodOptional<import("zod").ZodBoolean>;
                warmupSteps: import("zod").ZodOptional<import("zod").ZodNumber>;
                warmupStepsSet: import("zod").ZodOptional<import("zod").ZodBoolean>;
                weightDecay: import("zod").ZodOptional<import("zod").ZodNumber>;
            }, import("zod/v4/core").$strict>;
            type: import("zod").ZodLiteral<"finetune">;
            operation: import("zod").ZodLiteral<"getState">;
        }, import("zod/v4/core").$strict>, import("zod").ZodObject<{
            modelId: import("zod").ZodString;
            type: import("zod").ZodLiteral<"finetune">;
            operation: import("zod").ZodEnum<{
                cancel: "cancel";
                pause: "pause";
            }>;
        }, import("zod/v4/core").$strict>]>, import("zod").ZodObject<{
            type: import("zod").ZodLiteral<"finetune">;
            status: import("zod").ZodEnum<{
                IDLE: "IDLE";
                RUNNING: "RUNNING";
                PAUSED: "PAUSED";
                CANCELLED: "CANCELLED";
                COMPLETED: "COMPLETED";
            }>;
            stats: import("zod").ZodOptional<import("zod").ZodObject<{
                train_loss: import("zod").ZodOptional<import("zod").ZodNumber>;
                train_loss_uncertainty: import("zod").ZodOptional<import("zod").ZodNullable<import("zod").ZodUnion<readonly [import("zod").ZodNumber, import("zod").ZodNaN]>>>;
                val_loss: import("zod").ZodOptional<import("zod").ZodNumber>;
                val_loss_uncertainty: import("zod").ZodOptional<import("zod").ZodNullable<import("zod").ZodUnion<readonly [import("zod").ZodNumber, import("zod").ZodNaN]>>>;
                train_accuracy: import("zod").ZodOptional<import("zod").ZodNumber>;
                train_accuracy_uncertainty: import("zod").ZodOptional<import("zod").ZodNullable<import("zod").ZodUnion<readonly [import("zod").ZodNumber, import("zod").ZodNaN]>>>;
                val_accuracy: import("zod").ZodOptional<import("zod").ZodNumber>;
                val_accuracy_uncertainty: import("zod").ZodOptional<import("zod").ZodNullable<import("zod").ZodUnion<readonly [import("zod").ZodNumber, import("zod").ZodNaN]>>>;
                learning_rate: import("zod").ZodOptional<import("zod").ZodNumber>;
                global_steps: import("zod").ZodNumber;
                epochs_completed: import("zod").ZodNumber;
            }, import("zod/v4/core").$strict>>;
        }, import("zod/v4/core").$strict>>;
        translate: import("../../../../schemas/index").PluginHandlerDefinition<import("zod").ZodUnion<readonly [import("zod").ZodObject<{
            modelId: import("zod").ZodString;
            text: import("zod").ZodUnion<readonly [import("zod").ZodString, import("zod").ZodArray<import("zod").ZodString>]>;
            stream: import("zod").ZodBoolean;
            modelType: import("zod").ZodEnum<{
                "nmtcpp-translation": "nmtcpp-translation";
                nmt: "nmt";
            }>;
            type: import("zod").ZodLiteral<"translate">;
            requestId: import("zod").ZodOptional<import("zod").ZodString>;
        }, import("zod/v4/core").$strip>, import("zod").ZodObject<{
            modelId: import("zod").ZodString;
            text: import("zod").ZodString;
            stream: import("zod").ZodBoolean;
            modelType: import("zod").ZodEnum<{
                "llamacpp-completion": "llamacpp-completion";
                llm: "llm";
            }>;
            from: import("zod").ZodOptional<import("zod").ZodString>;
            to: import("zod").ZodString;
            context: import("zod").ZodOptional<import("zod").ZodString>;
            type: import("zod").ZodLiteral<"translate">;
            requestId: import("zod").ZodOptional<import("zod").ZodString>;
        }, import("zod/v4/core").$strip>]>, import("zod").ZodObject<{
            type: import("zod").ZodLiteral<"translate">;
            token: import("zod").ZodString;
            done: import("zod").ZodOptional<import("zod").ZodBoolean>;
            stats: import("zod").ZodOptional<import("zod").ZodObject<{
                totalTime: import("zod").ZodOptional<import("zod").ZodNumber>;
                totalTokens: import("zod").ZodOptional<import("zod").ZodNumber>;
                tokensPerSecond: import("zod").ZodOptional<import("zod").ZodNumber>;
                timeToFirstToken: import("zod").ZodOptional<import("zod").ZodNumber>;
                decodeTime: import("zod").ZodOptional<import("zod").ZodNumber>;
                encodeTime: import("zod").ZodOptional<import("zod").ZodNumber>;
                cacheTokens: import("zod").ZodOptional<import("zod").ZodNumber>;
            }, import("zod/v4/core").$strip>>;
            error: import("zod").ZodOptional<import("zod").ZodString>;
        }, import("zod/v4/core").$strip>>;
    };
    logging: {
        module: import("@qvac/llm-llamacpp/addonLogging").AddonLogging;
        namespace: "llamacpp-completion";
    };
};
//# sourceMappingURL=plugin.d.ts.map