@mastra/core/dist/loop/workflows/agentic-execution/llm-execution-step.d.ts

Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.

import type { ToolSet } from '../../../_types/@internal_ai-sdk-v5/dist/index.js';
import type { OuterLLMRun } from '../../types.js';
import type { ToolCallForeachOptions } from './tool-call-concurrency.js';
export declare function createLLMExecutionStep<TOOLS extends ToolSet = ToolSet, OUTPUT = undefined>({ models, _internal, messageId: messageIdPassed, runId, tools, toolChoice, activeTools, messageList, includeRawChunks, modelSettings, providerOptions, options, toolCallStreaming, controller, structuredOutput, outputProcessors, inputProcessors, llmRequestInputProcessors, errorProcessors, logger, agentId, downloadRetries, downloadConcurrency, processorStates, requestContext, methodType, requireToolApproval, toolCallConcurrency, toolCallForeachOptions, modelSpanTracker, autoResumeSuspendedTools, maxProcessorRetries, workspace, outputWriter, }: OuterLLMRun<TOOLS, OUTPUT> & {
    toolCallForeachOptions?: ToolCallForeachOptions;
}): import("../../../workflows").Step<"llm-execution", unknown, {
    messageId: string;
    messages: {
        all: any[];
        user: any[];
        nonUser: any[];
    };
    output: {
        usage: {
            inputTokens?: number | undefined;
            outputTokens?: number | undefined;
            totalTokens?: number | undefined;
            reasoningTokens?: number | undefined;
            cachedInputTokens?: number | undefined;
            cacheCreationInputTokens?: number | undefined;
        };
        steps: any[];
        text?: string | undefined;
        reasoning?: any[] | undefined;
        reasoningText?: string | undefined;
        files?: any[] | undefined;
        toolCalls?: any[] | undefined;
        toolResults?: any[] | undefined;
        sources?: any[] | undefined;
        staticToolCalls?: any[] | undefined;
        dynamicToolCalls?: any[] | undefined;
        staticToolResults?: any[] | undefined;
        dynamicToolResults?: any[] | undefined;
    };
    metadata: {
        id?: string | undefined;
        model?: string | undefined;
        modelId?: string | undefined;
        modelMetadata?: {
            modelId: string;
            modelVersion: string;
            modelProvider: string;
        } | undefined;
        timestamp?: Date | undefined;
        providerMetadata?: Record<string, any> | undefined;
        headers?: Record<string, string> | undefined;
        request?: Record<string, any> | undefined;
    };
    stepResult: {
        reason: string;
        warnings: any[];
        isContinued: boolean;
        logprobs?: any;
        totalUsage?: {
            inputTokens?: number | undefined;
            outputTokens?: number | undefined;
            totalTokens?: number | undefined;
            reasoningTokens?: number | undefined;
            cachedInputTokens?: number | undefined;
            cacheCreationInputTokens?: number | undefined;
        } | undefined;
        headers?: Record<string, string> | undefined;
        messageId?: string | undefined;
        request?: Record<string, any> | undefined;
    };
    processorRetryCount?: number | undefined;
    fallbackModelIndex?: number | undefined;
    processorRetryFeedback?: string | undefined;
    isTaskCompleteCheckFailed?: boolean | undefined;
    backgroundTaskPending?: boolean | undefined;
}, {
    messageId: string;
    messages: {
        all: any[];
        user: any[];
        nonUser: any[];
    };
    output: {
        usage: {
            inputTokens?: number | undefined;
            outputTokens?: number | undefined;
            totalTokens?: number | undefined;
            reasoningTokens?: number | undefined;
            cachedInputTokens?: number | undefined;
            cacheCreationInputTokens?: number | undefined;
        };
        steps: any[];
        text?: string | undefined;
        reasoning?: any[] | undefined;
        reasoningText?: string | undefined;
        files?: any[] | undefined;
        toolCalls?: any[] | undefined;
        toolResults?: any[] | undefined;
        sources?: any[] | undefined;
        staticToolCalls?: any[] | undefined;
        dynamicToolCalls?: any[] | undefined;
        staticToolResults?: any[] | undefined;
        dynamicToolResults?: any[] | undefined;
    };
    metadata: {
        id?: string | undefined;
        model?: string | undefined;
        modelId?: string | undefined;
        modelMetadata?: {
            modelId: string;
            modelVersion: string;
            modelProvider: string;
        } | undefined;
        timestamp?: Date | undefined;
        providerMetadata?: Record<string, any> | undefined;
        headers?: Record<string, string> | undefined;
        request?: Record<string, any> | undefined;
    };
    stepResult: {
        reason: string;
        warnings: any[];
        isContinued: boolean;
        logprobs?: any;
        totalUsage?: {
            inputTokens?: number | undefined;
            outputTokens?: number | undefined;
            totalTokens?: number | undefined;
            reasoningTokens?: number | undefined;
            cachedInputTokens?: number | undefined;
            cacheCreationInputTokens?: number | undefined;
        } | undefined;
        headers?: Record<string, string> | undefined;
        messageId?: string | undefined;
        request?: Record<string, any> | undefined;
    };
    processorRetryCount?: number | undefined;
    fallbackModelIndex?: number | undefined;
    processorRetryFeedback?: string | undefined;
    isTaskCompleteCheckFailed?: boolean | undefined;
    backgroundTaskPending?: boolean | undefined;
}, unknown, unknown, import("../../../workflows").DefaultEngineType, unknown>;
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