@mastra/core
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TypeScript
import type { CoreMessage as CoreMessageV4, UIMessage as UIMessageV4 } from '../../../_types/@internal_ai-sdk-v4/dist/index.d.ts';
import type { AdapterContext } from '../adapters/index.js';
import type { MastraDBMessage, MessageSource } from '../state/types.js';
import type { AIV5Type, AIV6Type } from '../types.js';
/**
* Sanitizes AIV4 UI messages by filtering out incomplete tool calls.
* Removes messages with empty parts arrays after sanitization.
*/
export declare function sanitizeAIV4UIMessages(messages: UIMessageV4[]): UIMessageV4[];
/**
* Sanitizes AIV5 UI messages by filtering out streaming states, data-* parts, empty text parts, and optionally incomplete tool calls.
* Handles legacy data by filtering empty text parts that may exist in pre-existing DB records.
*/
export declare function sanitizeV5UIMessages(messages: AIV5Type.UIMessage[], mode?: ToolCallConversionMode): AIV5Type.UIMessage[];
/**
* Adds step-start parts between tool parts and non-tool parts for proper AIV5 message conversion.
* This ensures AIV5.convertToModelMessages produces the correct message order.
*/
export declare function addStartStepPartsForAIV5(messages: AIV5Type.UIMessage[]): AIV5Type.UIMessage[];
/**
* Converts AIV4 UI messages to AIV4 Core messages.
*
* Provider file IDs (e.g. OpenAI Files API "file-...") stored in
* `experimental_attachments` would make AI SDK v4's internal `attachmentsToParts`
* throw `Invalid URL: file-...` inside `convertToCoreMessages`. Strip them before
* conversion and re-append them as file parts on the resulting user core message
* so the IDs survive untouched.
*/
export declare function aiV4UIMessagesToAIV4CoreMessages(messages: UIMessageV4[]): CoreMessageV4[];
/**
* How suspended (result-less) tool calls are handled when converting to model messages.
*
* - `response`: messages coming FROM the LLM. Suspended calls are kept so they stay in
* message history, and no pairing is enforced — nothing here is sent to a provider.
* - `prompt`: messages going TO the LLM. Suspended calls are dropped.
* - `prompt-with-suspended`: messages going TO the LLM with suspended calls kept visible to
* the agent. Each is paired with a pending result so the prompt stays valid.
*
* The last two both submit to a provider, so both enforce tool-call/tool-result pairing.
* That requirement belongs to the provider protocol, not to the caller's preference.
*/
export type ToolCallConversionMode = 'response' | 'prompt' | 'prompt-with-suspended';
/**
* Converts AIV5 UI messages to AIV5 Model messages.
* Handles sanitization, step-start insertion, provider options restoration, and Anthropic compatibility.
*
* @param messages - AIV5 UI messages to convert
* @param dbMessages - MastraDB messages used to look up tool call args for Anthropic compatibility
* @param mode - How to handle suspended tool calls
*/
export declare function aiV5UIMessagesToAIV5ModelMessages(messages: AIV5Type.UIMessage[], dbMessages: MastraDBMessage[], mode?: ToolCallConversionMode): AIV5Type.ModelMessage[];
/**
* Converts AIV4 Core messages to AIV5 Model messages.
*/
export declare function aiV4CoreMessagesToAIV5ModelMessages(messages: CoreMessageV4[], source: MessageSource, adapterContext: AdapterContext, dbMessages: MastraDBMessage[]): AIV5Type.ModelMessage[];
/**
* Converts various message formats to AIV4 CoreMessage format for system messages.
* Supports string, MastraDBMessage, or AI SDK message types.
*/
export declare function systemMessageToAIV4Core(message: CoreMessageV4 | AIV5Type.ModelMessage | AIV6Type.ModelMessage | MastraDBMessage | string): CoreMessageV4;
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