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MastraProviderMetadata;\n};\n\n/**\n * @experimental Agent signals are experimental and may change in a future release.\n */\nexport type AgentSignalContents = string | Array<TextPart | FilePart>;\nexport type AgentSignalAttributes = Record<string, string | number | boolean | null | undefined>;\nexport type AgentStateSignalMode = 'snapshot' | 'delta';\n\nexport type AgentStateSignalInput = {\n  id: string;\n  cacheKey: string;\n  contents: AgentSignalContents;\n  mode?: AgentStateSignalMode;\n  value?: unknown;\n  delta?: unknown;\n  attributes?: AgentSignalAttributes;\n  metadata?: Record<string, unknown>;\n  providerOptions?: MastraProviderMetadata;\n  tagName?: AgentSignalTagName;\n};\n\nexport type AgentMessageInput =\n  | AgentSignalContents\n  | {\n      contents: AgentSignalContents;\n      attributes?: AgentSignalAttributes;\n      metadata?: Record<string, unknown>;\n      providerOptions?: MastraProviderMetadata;\n    };\n\nexport type AgentSignalInput = {\n  id?: string;\n  createdAt?: Date | string;\n  acceptedAt?: Date | string;\n  type: AgentSignalType;\n  tagName?: AgentSignalTagName;\n  contents: AgentSignalContents;\n  attributes?: AgentSignalAttributes;\n  metadata?: Record<string, unknown>;\n  /**\n   * Provider options attached to the resulting prompt turn. Surfaces as `providerOptions` on the\n   * `UserModelMessage` sent to the model and as `content.providerMetadata` on the persisted DB\n   * message (also visible to UI consumers via `useChat` message metadata).\n   */\n  providerOptions?: MastraProviderMetadata;\n};\n\n/**\n * @experimental Agent signals are experimental and may change in a future release.\n */\nexport type AgentSignalDataPart = {\n  type: 'data-user-message' | 'data-signal';\n  data: {\n    id: string;\n    type: AgentSignalCategory;\n    tagName?: AgentSignalTagName;\n    contents: AgentSignalContents;\n    createdAt: string;\n    acceptedAt?: string;\n    attributes?: AgentSignalAttributes;\n    metadata?: Record<string, unknown>;\n  };\n  transient: true;\n};\n\n/**\n * @experimental Agent signals are experimental and may change in a future release.\n */\nexport type CreatedAgentSignal = AgentSignalInput & {\n  __isCreatedSignal: true;\n  id: string;\n  createdAt: Date;\n  acceptedAt?: Date;\n  toDBMessage: (options?: { threadId?: string; resourceId?: string }) => MastraDBMessage;\n  toLLMMessage: () => UserModelMessage;\n  toDataPart: () => AgentSignalDataPart;\n};\n\nexport function isMastraSignalMessage(message: MastraDBMessage): message is MastraDBMessage & { role: 'signal' } {\n  return message.role === 'signal';\n}\n\nfunction normalizeSignalType(input: Pick<AgentSignalInput, 'type' | 'tagName'>): {\n  type: AgentSignalCategory;\n  tagName: AgentSignalTagName;\n} {\n  if (input.type === 'user-message') {\n    return { type: 'user', tagName: input.tagName ?? 'user' };\n  }\n\n  if (input.type === 'system-reminder') {\n    return { type: 'reactive', tagName: input.tagName ?? 'system-reminder' };\n  }\n\n  if (input.type === 'user' || input.type === 'state' || input.type === 'notification') {\n    return { type: input.type, tagName: input.tagName ?? input.type };\n  }\n\n  if (input.type === 'reactive') {\n    return { type: 'reactive', tagName: input.tagName ?? 'system-reminder' };\n  }\n\n  throw new Error(\n    `Invalid signal type: ${input.type}. Use a supported signal type and set tagName for custom XML tags.`,\n  );\n}\n\nfunction normalizeSignal(signal: AgentSignalInput | CreatedAgentSignal) {\n  const { type, tagName } = normalizeSignalType(signal);\n  return {\n    ...signal,\n    type,\n    tagName,\n    id: signal.id ?? crypto.randomUUID(),\n    createdAt:\n      signal.createdAt instanceof Date ? signal.createdAt : signal.createdAt ? new Date(signal.createdAt) : new Date(),\n    acceptedAt:\n      signal.acceptedAt instanceof Date\n        ? signal.acceptedAt\n        : signal.acceptedAt\n          ? new Date(signal.acceptedAt)\n          : undefined,\n  };\n}\n\nfunction escapeXml(value: string): string {\n  return value.replaceAll('&', '&amp;').replaceAll('<', '&lt;').replaceAll('>', '&gt;');\n}\n\nfunction escapeXmlAttribute(value: string): string {\n  return escapeXml(value).replaceAll('\"', '&quot;');\n}\n\nconst XML_NAME_PATTERN = /^[A-Za-z_][A-Za-z0-9_.-]*$/;\n\nfunction assertXmlName(name: string, label: string): void {\n  if (!XML_NAME_PATTERN.test(name)) {\n    throw new Error(`Invalid signal XML ${label}: ${name}`);\n  }\n}\n\nfunction signalAttributesToXml(attributes?: AgentSignalAttributes): string {\n  if (!attributes) {\n    return '';\n  }\n\n  const serialized = Object.entries(attributes)\n    .filter((entry): entry is [string, string | number | boolean] => entry[1] !== null && entry[1] !== undefined)\n    .map(([key, value]) => {\n      assertXmlName(key, 'attribute name');\n      return `${key}=\"${escapeXmlAttribute(String(value))}\"`;\n    })\n    .join(' ');\n\n  return serialized ? ` ${serialized}` : '';\n}\n\nexport function signalToXmlMarkup(\n  signal: Pick<AgentSignalInput, 'type' | 'tagName' | 'attributes'> & { contents?: string },\n): string {\n  const tagName = signal.tagName ?? normalizeSignalType(signal).tagName;\n  assertXmlName(tagName, 'tag name');\n  const attributesXml = signalAttributesToXml(signal.attributes);\n  if (!signal.contents) return `<${tagName}${attributesXml} />`;\n  return `<${tagName}${attributesXml}>${escapeXml(signal.contents)}</${tagName}>`;\n}\n\n// Recover legacy metadata.signal.contents shapes (pre-narrowing) into the current\n// AgentSignalContents. Older rows could stash any of:\n//   - string                                          (most signals)\n//   - Array<TextPart | FilePart> with mediaType       (TUI image messages)\n//   - { role: 'user', content: string | Array<...> } (TUI createUserSignalContent)\n//   - CoreUserMessage[] / string[]                    (React hook BaseMessageListInput)\n// Anything that doesn't decode cleanly returns undefined so the caller can fall back to\n// the canonical content.parts projection.\nfunction legacyContentsToSignalContents(value: unknown): AgentSignalContents | undefined {\n  if (typeof value === 'string') return value;\n\n  if (Array.isArray(value)) {\n    const parts: Array<TextPart | FilePart> = [];\n    for (const entry of value) {\n      if (typeof entry === 'string') {\n        parts.push({ type: 'text', text: entry });\n        continue;\n      }\n      const decoded = legacyEntryToParts(entry);\n      if (!decoded) return undefined;\n      parts.push(...decoded);\n    }\n    return collapseLegacyParts(parts);\n  }\n\n  const decoded = legacyEntryToParts(value);\n  return decoded ? collapseLegacyParts(decoded) : undefined;\n}\n\nfunction legacyEntryToParts(entry: unknown): Array<TextPart | FilePart> | undefined {\n  if (!entry || typeof entry !== 'object') return undefined;\n  const record = entry as Record<string, unknown>;\n\n  // CoreUserMessage wrapper: { role: 'user', content: string | Array<...> }.\n  if (record.role === 'user' && 'content' in record) {\n    const content = record.content;\n    if (typeof content === 'string') return [{ type: 'text', text: content }];\n    if (Array.isArray(content)) {\n      const inner: Array<TextPart | FilePart> = [];\n      for (const part of content) {\n        const decoded = legacyPartToSignalPart(part);\n        if (!decoded) return undefined;\n        inner.push(decoded);\n      }\n      return inner;\n    }\n    return undefined;\n  }\n\n  // Bare TextPart / FilePart / ImagePart.\n  const part = legacyPartToSignalPart(record);\n  return part ? [part] : undefined;\n}\n\nfunction legacyPartToSignalPart(part: unknown): TextPart | FilePart | undefined {\n  if (!part || typeof part !== 'object') return undefined;\n  const record = part as Record<string, unknown>;\n  const providerOptions =\n    record.providerOptions && typeof record.providerOptions === 'object' && !Array.isArray(record.providerOptions)\n      ? (record.providerOptions as MastraProviderMetadata)\n      : undefined;\n\n  if (record.type === 'text' && typeof record.text === 'string') {\n    return { type: 'text', text: record.text, ...(providerOptions ? { providerOptions } : {}) };\n  }\n\n  // Accept both shapes here: rows written by main + the v4-shaped narrowed branch used\n  // `mimeType`; rows that came in as v5 user input (and current canonical) use `mediaType`.\n  if (record.type === 'file' || record.type === 'image') {\n    const data = record.type === 'image' ? (record.image ?? record.data) : record.data;\n    if (typeof data !== 'string') return undefined;\n    const mediaType =\n      typeof record.mediaType === 'string'\n        ? record.mediaType\n        : typeof record.mimeType === 'string'\n          ? record.mimeType\n          : record.type === 'image'\n            ? 'image/png'\n            : '';\n    if (!mediaType) return undefined;\n    return {\n      type: 'file',\n      data,\n      mediaType,\n      ...(typeof record.filename === 'string' ? { filename: record.filename } : {}),\n      ...(providerOptions ? { providerOptions } : {}),\n    };\n  }\n\n  return undefined;\n}\n\nfunction collapseLegacyParts(parts: Array<TextPart | FilePart>): AgentSignalContents | undefined {\n  if (parts.length === 0) return undefined;\n  const first = parts[0];\n  if (parts.length === 1 && first?.type === 'text') return first.text;\n  return parts;\n}\n\nfunction contentsToSignalParts(contents: AgentSignalContents): SignalPart[] {\n  if (typeof contents === 'string') return [{ type: 'text', text: contents }];\n  return contents.map(part => {\n    if (part.type === 'file') {\n      const data = part.data instanceof URL ? part.data.toString() : convertDataContentToBase64String(part.data);\n      return {\n        type: 'file',\n        data,\n        mediaType: part.mediaType,\n        ...(part.filename ? { filename: part.filename } : {}),\n        ...(part.providerOptions ? { providerOptions: part.providerOptions as MastraProviderMetadata } : {}),\n      };\n    }\n    return {\n      type: 'text',\n      text: part.text,\n      ...(part.providerOptions ? { providerOptions: part.providerOptions as MastraProviderMetadata } : {}),\n    };\n  });\n}\n\n// Narrow a storage parts array down to SignalPart. Signal rows should only ever contain text/file\n// parts (that's what contentsToSignalParts produces), but the storage type permits richer parts —\n// so the read boundary filters defensively.\nfunction storagePartsToSignalParts(parts: MastraMessagePart[]): SignalPart[] {\n  const out: SignalPart[] = [];\n  for (const part of parts) {\n    const providerOptions = (part as { providerMetadata?: MastraProviderMetadata }).providerMetadata;\n    if (part.type === 'text') {\n      out.push({\n        type: 'text',\n        text: part.text,\n        ...(providerOptions ? { providerOptions } : {}),\n      });\n    } else if (part.type === 'file' && typeof (part as { data?: unknown }).data === 'string') {\n      const file = part as { data: string; mimeType?: string; filename?: string };\n      out.push({\n        type: 'file',\n        data: file.data,\n        mediaType: typeof file.mimeType === 'string' ? file.mimeType : '',\n        ...(typeof file.filename === 'string' ? { filename: file.filename } : {}),\n        ...(providerOptions ? { providerOptions } : {}),\n      });\n    }\n  }\n  return out;\n}\n\n// Project canonical signal parts back into the public AgentSignalContents shape. Collapses a\n// single text part to a bare string; otherwise returns the parts unchanged (both internal\n// SignalPart and the public v5 FilePart use `mediaType`).\nfunction partsToSignalContents(parts: SignalPart[]): AgentSignalContents {\n  if (parts.length === 1 && parts[0]?.type === 'text' && !parts[0].providerOptions) return parts[0].text;\n  return parts.map<TextPart | FilePart>(part =>\n    part.type === 'file'\n      ? {\n          type: 'file',\n          data: part.data,\n          mediaType: part.mediaType,\n          ...(part.filename ? { filename: part.filename } : {}),\n          ...(part.providerOptions ? { providerOptions: part.providerOptions } : {}),\n        }\n      : {\n          type: 'text',\n          text: part.text,\n          ...(part.providerOptions ? { providerOptions: part.providerOptions } : {}),\n        },\n  );\n}\n\nfunction hasMeaningfulAttributes(attributes?: AgentSignalAttributes): boolean {\n  if (!attributes) return false;\n  return Object.keys(attributes).some(key => {\n    const value = attributes[key];\n    return value !== null && value !== undefined;\n  });\n}\n\n// Inline-wrap the first text part with the signal's XML tag. If there's no text part, prepend\n// a self-closing marker as a synthetic first part so attributes still surface alongside the\n// file/image payload on the same turn.\nfunction injectMarkerInline(\n  signal: Pick<AgentSignalInput, 'type' | 'tagName' | 'attributes'>,\n  parts: SignalPart[],\n): SignalPart[] {\n  let wrapped = false;\n  const out: SignalPart[] = [];\n  for (const part of parts) {\n    if (!wrapped && part.type === 'text') {\n      wrapped = true;\n      out.push({ ...part, text: signalToXmlMarkup({ ...signal, contents: part.text }) });\n    } else {\n      out.push(part);\n    }\n  }\n  if (!wrapped) {\n    const markerText = signalToXmlMarkup({ type: signal.type, tagName: signal.tagName, attributes: signal.attributes });\n    out.unshift({ type: 'text', text: markerText });\n  }\n  return out;\n}\n\n// Build the LLM-facing projection from the canonical parts. Returns a v5 UserModelMessage\n// (a prompt turn the model sees, not a signal row). The XML wrapper carries the attributes\n// inline so there's no metadata.signal here.\nfunction signalToLLMMessage(\n  signal: Pick<AgentSignalInput, 'type' | 'tagName' | 'attributes' | 'providerOptions'>,\n  parts: SignalPart[],\n): UserModelMessage {\n  const isUserMessage = signal.type === 'user';\n  const hasAttrs = hasMeaningfulAttributes(signal.attributes);\n\n  const anyPartProviderOptions = parts.some(part => part.providerOptions);\n\n  let content: UserModelMessage['content'];\n  if (isUserMessage && !hasAttrs) {\n    // user-message with no attributes — pass parts through unchanged. Collapse a single text\n    // part to a bare string so providers get their natural prompt shape (unless the part\n    // carries providerOptions, in which case we keep the parts array to preserve them).\n    content = parts.length === 1 && parts[0]?.type === 'text' && !parts[0].providerOptions ? parts[0].text : parts;\n  } else if (parts.every(part => part.type === 'text') && !anyPartProviderOptions) {\n    // Text-only with no per-part providerOptions: flatten to one wrapped string.\n    content = signalToXmlMarkup({ ...signal, contents: parts.map(part => part.text).join('\\n') });\n  } else {\n    // Multimodal or per-part providerOptions present: inline-wrap the marker alongside the\n    // payload so each part (and its providerOptions) is preserved.\n    content = injectMarkerInline(signal, parts);\n  }\n\n  return {\n    role: 'user',\n    content,\n    ...(signal.providerOptions ? { providerOptions: signal.providerOptions } : {}),\n  };\n}\n\nfunction signalToDataPart(signal: ReturnType<typeof normalizeSignal>, parts: SignalPart[]): AgentSignalDataPart {\n  return {\n    type: signal.type === 'user' ? 'data-user-message' : 'data-signal',\n    data: {\n      id: signal.id,\n      type: signal.type,\n      tagName: signal.tagName,\n      contents: partsToSignalContents(parts),\n      createdAt: signal.createdAt.toISOString(),\n      ...(signal.acceptedAt ? { acceptedAt: signal.acceptedAt.toISOString() } : {}),\n      ...(signal.attributes ? { attributes: signal.attributes } : {}),\n      ...(signal.metadata ? { metadata: signal.metadata } : {}),\n    },\n    transient: true,\n  };\n}\n\nfunction signalToDBMessage(\n  signal: ReturnType<typeof normalizeSignal>,\n  parts: SignalPart[],\n  options?: { threadId?: string; resourceId?: string },\n): MastraDBMessage {\n  const storageParts: MastraMessagePart[] =\n    parts.length > 0\n      ? parts.map(part =>\n          part.type === 'file'\n            ? {\n                type: 'file',\n                data: part.data,\n                mimeType: part.mediaType,\n                ...(part.filename ? { filename: part.filename } : {}),\n                ...(part.providerOptions ? { providerMetadata: part.providerOptions } : {}),\n              }\n            : {\n                type: 'text',\n                text: part.text,\n                ...(part.providerOptions ? { providerMetadata: part.providerOptions } : {}),\n              },\n        )\n      : [{ type: 'text', text: '' }];\n  return {\n    id: signal.id,\n    role: 'signal',\n    createdAt: signal.createdAt,\n    threadId: options?.threadId,\n    resourceId: options?.resourceId,\n    type: signal.tagName,\n    content: {\n      format: 2,\n      parts: storageParts,\n      ...(signal.providerOptions ? { providerMetadata: signal.providerOptions } : {}),\n      metadata: {\n        signal: {\n          id: signal.id,\n          type: signal.type,\n          tagName: signal.tagName,\n          createdAt: signal.createdAt.toISOString(),\n          ...(signal.acceptedAt ? { acceptedAt: signal.acceptedAt.toISOString() } : {}),\n          ...(signal.attributes ? { attributes: signal.attributes } : {}),\n          ...(signal.metadata ? { metadata: signal.metadata } : {}),\n        },\n      },\n    },\n  };\n}\n\nexport function isCreatedAgentSignal(input: unknown): input is CreatedAgentSignal {\n  if (!input || typeof input !== 'object' || Array.isArray(input)) return false;\n\n  const candidate = input as Partial<CreatedAgentSignal>;\n  return candidate.__isCreatedSignal === true;\n}\n\nexport function createSignal(input: AgentSignalInput): CreatedAgentSignal {\n  const signal = normalizeSignal(input);\n  const parts = contentsToSignalParts(signal.contents);\n\n  return {\n    ...signal,\n    __isCreatedSignal: true as const,\n    toDBMessage: options => signalToDBMessage(signal, parts, options),\n    toLLMMessage: () => signalToLLMMessage(signal, parts),\n    toDataPart: () => signalToDataPart(signal, parts),\n  };\n}\n\n/**\n * Resolve delivery option attributes into concrete `attributes` on a signal.\n * Returns a new signal with the selected branch's `attributes` merged into\n * top-level `attributes`.\n *\n * @experimental\n */\nexport function resolveDeliveryAttributes(\n  signal: CreatedAgentSignal,\n  attributes: AgentSignalAttributes | undefined,\n): CreatedAgentSignal {\n  if (!attributes || Object.keys(attributes).length === 0) return signal;\n\n  return createSignal({\n    ...signal,\n    attributes: { ...signal.attributes, ...attributes },\n  });\n}\n\nexport function signalToMessage(signal: AgentSignalInput | CreatedAgentSignal): UserModelMessage {\n  return createSignal(signal).toLLMMessage();\n}\n\nexport function signalToMastraDBMessage(\n  signal: AgentSignalInput | CreatedAgentSignal,\n  options?: { threadId?: string; resourceId?: string },\n): MastraDBMessage {\n  return createSignal(signal).toDBMessage(options);\n}\n\nexport function signalToDataPartFormat(signal: AgentSignalInput | CreatedAgentSignal): AgentSignalDataPart {\n  return createSignal(signal).toDataPart();\n}\n\nexport function mastraDBMessageToSignal(message: MastraDBMessage): CreatedAgentSignal {\n  const metadataSignal = message.content.metadata?.signal;\n  const signalMetadata =\n    metadataSignal && typeof metadataSignal === 'object' && !Array.isArray(metadataSignal)\n      ? (metadataSignal as Record<string, unknown>)\n      : undefined;\n\n  const rawType = typeof signalMetadata?.type === 'string' ? signalMetadata.type : (message.type ?? 'user-message');\n  const type = rawType as AgentSignalType;\n  const tagName = typeof signalMetadata?.tagName === 'string' ? signalMetadata.tagName : undefined;\n  // Reconstruct contents from content.parts — the canonical source. Legacy rows (pre stash\n  // removal) preserved the original input shape on metadata.signal.contents; recover whatever\n  // we can from it (string, parts array, CoreUserMessage wrapper, CoreUserMessage[]) so files\n  // and other non-text payloads keep loading. If the stash is unrecognisable, fall back to the\n  // canonical parts projection.\n  const rawLegacyContents = signalMetadata && 'contents' in signalMetadata ? signalMetadata.contents : undefined;\n  const legacyContents = legacyContentsToSignalContents(rawLegacyContents);\n  const partsContents = partsToSignalContents(storagePartsToSignalParts(message.content.parts));\n  const contents = legacyContents ?? partsContents;\n  const providerMetadata = message.content.providerMetadata;\n  const base = {\n    id: typeof signalMetadata?.id === 'string' ? signalMetadata.id : message.id,\n    createdAt: typeof signalMetadata?.createdAt === 'string' ? signalMetadata.createdAt : message.createdAt,\n    acceptedAt: typeof signalMetadata?.acceptedAt === 'string' ? signalMetadata.acceptedAt : undefined,\n    attributes:\n      signalMetadata?.attributes &&\n      typeof signalMetadata.attributes === 'object' &&\n      !Array.isArray(signalMetadata.attributes)\n        ? (signalMetadata.attributes as AgentSignalAttributes)\n        : undefined,\n    metadata:\n      signalMetadata?.metadata && typeof signalMetadata.metadata === 'object' && !Array.isArray(signalMetadata.metadata)\n        ? (signalMetadata.metadata as AgentSignalInput['metadata'])\n        : undefined,\n    providerOptions:\n      providerMetadata && typeof providerMetadata === 'object' && !Array.isArray(providerMetadata)\n        ? (providerMetadata as MastraProviderMetadata)\n        : undefined,\n  };\n\n  return createSignal({ ...base, type, tagName, contents });\n}\n\nexport function createMessageSignal(\n  input: AgentMessageInput,\n  options?: Pick<AgentSignalInput, 'id' | 'createdAt' | 'acceptedAt'>,\n): CreatedAgentSignal {\n  const message = typeof input === 'string' || Array.isArray(input) ? { contents: input } : input;\n  return createSignal({\n    ...message,\n    ...options,\n    type: 'user',\n    tagName: 'user',\n  });\n}\n\nexport function dataPartToSignal(part: AgentSignalDataPart): CreatedAgentSignal {\n  return createSignal(part.data);\n}\n","import type { Message as AIV4Message, UIMessage as UIMessageV4 } from '@internal/ai-sdk-v4';\n\nimport type { MastraDBMessage, MastraMessageV1 } from '../state/types';\nimport type { AIV5Type, AIV6Type, CoreMessageV4 } from '../types';\n\n/**\n * Type representing all possible message input formats\n */\nexport type MessageInput =\n  | AIV6Type.UIMessage\n  | AIV6Type.ModelMessage\n  | AIV5Type.UIMessage\n  | AIV5Type.ModelMessage\n  | (UIMessageV4 & { metadata?: Record<string, unknown> })\n  | AIV4Message\n  | CoreMessageV4\n  | MastraMessageV1\n  | MastraDBMessage;\n\n/**\n * TypeDetector - Centralized type detection for different message formats\n *\n * This class provides consistent type detection across all message formats,\n * which is critical for:\n * - Determining which conversion path to use\n * - Validating incoming message formats\n * - Providing better TypeScript type narrowing\n *\n * The detection order is important because some formats share similar properties.\n */\nexport class TypeDetector {\n  /**\n   * Check if a message is a MastraDBMessage (format 2)\n   */\n  static isMastraDBMessage(msg: MessageInput): msg is MastraDBMessage {\n    return Boolean(\n      'content' in msg &&\n      msg.content &&\n      !Array.isArray(msg.content) &&\n      typeof msg.content !== 'string' &&\n      'format' in msg.content &&\n      msg.content.format === 2,\n    );\n  }\n\n  /**\n   * Check if a message is a MastraMessageV1 (legacy format)\n   */\n  static isMastraMessageV1(msg: MessageInput): msg is MastraMessageV1 {\n    return !TypeDetector.isMastraDBMessage(msg) && ('threadId' in msg || 'resourceId' in msg);\n  }\n\n  /**\n   * Check if a message is either Mastra format (V1 or V2/DB)\n   */\n  static isMastraMessage(msg: MessageInput): msg is MastraDBMessage | MastraMessageV1 {\n    return TypeDetector.isMastraDBMessage(msg) || TypeDetector.isMastraMessageV1(msg);\n  }\n\n  /**\n   * Check if a message is an AIV4 UIMessage\n   */\n  static isAIV4UIMessage(msg: MessageInput): msg is UIMessageV4 {\n    return (\n      !TypeDetector.isMastraMessage(msg) &&\n      !TypeDetector.isAIV4CoreMessage(msg) &&\n      'parts' in msg &&\n      !TypeDetector.hasAIV5UIMessageCharacteristics(msg)\n    );\n  }\n\n  /**\n   * Check if a message is an AIV6 UIMessage.\n   *\n   * At runtime, the v5 and v6 UI shapes overlap heavily. We only treat a\n   * message as distinctly v6 if it uses v6-only parts or tool states.\n   */\n  static isAIV6UIMessage(msg: MessageInput): msg is AIV6Type.UIMessage {\n    return (\n      !TypeDetector.isMastraMessage(msg) &&\n      !TypeDetector.isAIV4CoreMessage(msg) &&\n      'parts' in msg &&\n      TypeDetector.hasAIV6UIMessageCharacteristics(\n        msg as AIV6Type.UIMessage | AIV5Type.UIMessage | UIMessageV4 | AIV4Message,\n      )\n    );\n  }\n\n  /**\n   * Check if a message is an AIV5 UIMessage\n   */\n  static isAIV5UIMessage(msg: MessageInput): msg is AIV5Type.UIMessage {\n    return (\n      !TypeDetector.isMastraMessage(msg) &&\n      !TypeDetector.isAIV6UIMessage(msg) &&\n      !TypeDetector.isAIV5CoreMessage(msg) &&\n      'parts' in msg &&\n      TypeDetector.hasAIV5UIMessageCharacteristics(msg)\n    );\n  }\n\n  /**\n   * Check if a message is an AIV4 CoreMessage\n   */\n  static isAIV4CoreMessage(msg: MessageInput): msg is CoreMessageV4 {\n    // V4 CoreMessage has role and content like V5/V6, but content can be an\n    // array of parts with v4-specific field names.\n    return (\n      !TypeDetector.isMastraMessage(msg) &&\n      !('parts' in msg) &&\n      'content' in msg &&\n      !TypeDetector.hasAIV5CoreMessageCharacteristics(msg)\n    );\n  }\n\n  /**\n   * Check if a message is an AIV6 ModelMessage (CoreMessage equivalent).\n   */\n  static isAIV6CoreMessage(msg: MessageInput): msg is AIV6Type.ModelMessage {\n    return (\n      !TypeDetector.isMastraMessage(msg) &&\n      !('parts' in msg) &&\n      'content' in msg &&\n      TypeDetector.hasAIV6CoreMessageCharacteristics(\n        msg as CoreMessageV4 | AIV5Type.ModelMessage | AIV6Type.ModelMessage | AIV4Message,\n      )\n    );\n  }\n\n  /**\n   * Check if a message is an AIV5 ModelMessage (CoreMessage equivalent)\n   */\n  static isAIV5CoreMessage(msg: MessageInput): msg is AIV5Type.ModelMessage {\n    return (\n      !TypeDetector.isMastraMessage(msg) &&\n      !TypeDetector.isAIV6CoreMessage(msg) &&\n      !('parts' in msg) &&\n      'content' in msg &&\n      TypeDetector.hasAIV5CoreMessageCharacteristics(msg)\n    );\n  }\n\n  /**\n   * Check if a message has AIV6-only UI characteristics.\n   */\n  static hasAIV6UIMessageCharacteristics(\n    msg: AIV6Type.UIMessage | AIV5Type.UIMessage | UIMessageV4 | AIV4Message,\n  ): msg is AIV6Type.UIMessage {\n    if (!('parts' in msg) || !msg.parts) return false;\n\n    for (const part of msg.parts) {\n      if (part.type === 'source-document') return true;\n      if (part.type === 'dynamic-tool') return true;\n\n      if (\n        'toolCallId' in part &&\n        'state' in part &&\n        (part.state === 'approval-requested' || part.state === 'approval-responded' || part.state === 'output-denied')\n      ) {\n        return true;\n      }\n    }\n\n    return false;\n  }\n\n  /**\n   * Check if a message has AIV5 UIMessage characteristics\n   *\n   * V5 UIMessages have specific part types and field names that differ from V4.\n   */\n  static hasAIV5UIMessageCharacteristics(\n    msg: AIV6Type.UIMessage | AIV5Type.UIMessage | UIMessageV4 | AIV4Message,\n  ): msg is AIV5Type.UIMessage {\n    // AI SDK v4 has separate arrays of tool invocations, reasoning, and\n    // attachments that do not preserve overall part ordering, so their\n    // presence is a quick early signal that this is not a v5/v6 UI message.\n    if (\n      'toolInvocations' in msg ||\n      'reasoning' in msg ||\n      'experimental_attachments' in msg ||\n      'data' in msg ||\n      'annotations' in msg\n      // Don't check `content` here. That would fully narrow to v5 and is more\n      // likely to misclassify a loosely constructed v5/v6 UI message.\n    )\n      return false;\n\n    if (!msg.parts) return false; // likely an AIV4 Message\n\n    for (const part of msg.parts) {\n      if ('metadata' in part) return true;\n\n      // Tool parts are the cleanest discriminator:\n      // - v4 uses `tool-invocation`\n      // - v5/v6 use `tool-${toolName}` / `dynamic-tool`\n      if ('toolInvocation' in part) return false;\n      if ('toolCallId' in part) return true;\n      if (part.type === 'source') return false;\n      if (part.type === 'source-url') return true;\n\n      if (part.type === 'reasoning') {\n        if ('state' in part || 'text' in part) return true; // v5/v6\n        if ('reasoning' in part || 'details' in part) return false; // v4\n      }\n\n      if (part.type === 'file' && 'mediaType' in part) return true;\n    }\n\n    return false; // default to v4 for backwards compatibility\n  }\n\n  /**\n   * Check if a message has AIV6-only core characteristics.\n   */\n  static hasAIV6CoreMessageCharacteristics(\n    msg: CoreMessageV4 | AIV5Type.ModelMessage | AIV6Type.ModelMessage | AIV4Message,\n  ): msg is AIV6Type.ModelMessage {\n    if ('parts' in msg || typeof msg.content === 'string') return false;\n\n    return msg.content.some(part => part.type === 'tool-approval-request' || part.type === 'tool-approval-response');\n  }\n\n  /**\n   * Check if a message has AIV5 CoreMessage characteristics\n   *\n   * V5 ModelMessages use different field names from v4\n   * (for example `output` vs `result`, `input` vs `args`,\n   * `mediaType` vs `mimeType`).\n   */\n  static hasAIV5CoreMessageCharacteristics(\n    msg:\n      | CoreMessageV4\n      | AIV6Type.ModelMessage\n      | AIV5Type.ModelMessage\n      // This is here because the AIV4 Message type can omit parts entirely.\n      | AIV4Message,\n  ): msg is AIV5Type.ModelMessage {\n    if ('experimental_providerMetadata' in msg) return false;\n    // String content is identical in v4/v5/v6, so treat it as v5-compatible.\n    if (typeof msg.content === 'string') return true;\n\n    for (const part of msg.content) {\n      if (part.type === 'tool-result' && 'output' in part) return true;\n      if (part.type === 'tool-call' && 'input' in part) return true;\n      if (part.type === 'tool-result' && 'result' in part) return false;\n      if (part.type === 'tool-call' && 'args' in part) return false;\n      if ('mediaType' in part) return true;\n      if ('mimeType' in part) return false;\n      if ('experimental_providerMetadata' in part) return false;\n      if (part.type === 'reasoning' && 'signature' in part) return false;\n      if (part.type === 'redacted-reasoning') return false;\n    }\n\n    // If no distinguishing features are found, the message shape is still\n    // compatible with the v5 model format.\n    return true;\n  }\n\n  /**\n   * Get the normalized role for a message\n   * Maps `tool` to `assistant` because tool messages are displayed as part of\n   * the assistant conversation.\n   */\n  static getRole(message: MessageInput): MastraDBMessage['role'] {\n    if (message.role === 'assistant' || message.role === 'tool') return 'assistant';\n    if (message.role === 'user') return 'user';\n    if (message.role === 'system') return 'system';\n    throw new Error(\n      `BUG: add handling for message role ${message.role} in message ${JSON.stringify(message, null, 2)}`,\n    );\n  }\n}\n","import { convertDataContentToBase64String } from './data-content';\n\n/**\n * Image content can be a string (URL or data URI), a URL object, or binary data\n */\nexport type ImageContent = string | URL | Uint8Array | ArrayBuffer | Buffer;\n\n/**\n * Represents the parsed components of a data URI\n */\nexport interface DataUriParts {\n  mimeType?: string;\n  base64Content: string;\n  isDataUri: boolean;\n}\n\n/**\n * Parses a data URI string into its components.\n * Format: data:[<mediatype>][;base64],<data>\n *\n * @param dataUri - The data URI string to parse\n * @returns Parsed components including MIME type and base64 content\n */\nexport function parseDataUri(dataUri: string): DataUriParts {\n  if (!dataUri.startsWith('data:')) {\n    return {\n      isDataUri: false,\n      base64Content: dataUri,\n    };\n  }\n\n  const base64Index = dataUri.indexOf(',');\n  if (base64Index === -1) {\n    // Malformed data URI, return as-is\n    return {\n      isDataUri: true,\n      base64Content: dataUri,\n    };\n  }\n\n  const header = dataUri.substring(5, base64Index); // Skip 'data:' prefix\n  const base64Content = dataUri.substring(base64Index + 1);\n\n  // Extract MIME type from header (before ';base64' or ';')\n  const semicolonIndex = header.indexOf(';');\n  const mimeType = semicolonIndex !== -1 ? header.substring(0, semicolonIndex) : header;\n\n  return {\n    isDataUri: true,\n    mimeType: mimeType || undefined,\n    base64Content,\n  };\n}\n\n/**\n * Creates a data URI from base64 content and MIME type.\n *\n * @param base64Content - The base64 encoded content\n * @param mimeType - The MIME type (defaults to 'application/octet-stream')\n * @returns A properly formatted data URI\n */\nexport function createDataUri(base64Content: string, mimeType: string = 'application/octet-stream'): string {\n  // If it's already a data URI, return as-is\n  if (base64Content.startsWith('data:')) {\n    return base64Content;\n  }\n  return `data:${mimeType};base64,${base64Content}`;\n}\n\n/**\n * Converts various image data formats to a string representation.\n * - Strings are returned as-is (could be URLs or data URIs)\n * - URL objects are converted to strings\n * - Binary data (Uint8Array, ArrayBuffer, Buffer) is converted to base64\n *\n * @param image - The image data in various formats\n * @param fallbackMimeType - MIME type to use when creating data URIs from binary data\n * @returns String representation of the image (URL, data URI, or base64)\n */\nexport function imageContentToString(image: ImageContent, fallbackMimeType?: string): string {\n  if (typeof image === 'string') {\n    return image;\n  }\n\n  if (image instanceof URL) {\n    return image.toString();\n  }\n\n  if (image instanceof Uint8Array || image instanceof ArrayBuffer || (globalThis.Buffer && Buffer.isBuffer(image))) {\n    // Convert binary data to base64\n    const base64 = convertDataContentToBase64String(image);\n    // If it's not already a data URI, create one\n    if (fallbackMimeType && !base64.startsWith('data:')) {\n      return `data:${fallbackMimeType};base64,${base64}`;\n    }\n    return base64;\n  }\n\n  // Fallback for unknown types - try to convert to string\n  return String(image);\n}\n\n/**\n * Converts various image data formats to a data URI string.\n *\n * @param image - The image data in various formats\n * @param mimeType - MIME type for the data URI (defaults to 'image/png')\n * @returns Data URI string\n */\nexport function imageContentToDataUri(image: ImageContent, mimeType: string = 'image/png'): string {\n  const imageStr = imageContentToString(image, mimeType);\n\n  // If it's already a data URI, return as-is\n  if (imageStr.startsWith('data:')) {\n    return imageStr;\n  }\n\n  // If it's an HTTP(S) URL, return as-is (can't convert to data URI)\n  if (imageStr.startsWith('http://') || imageStr.startsWith('https://')) {\n    return imageStr;\n  }\n\n  // Otherwise, assume it's base64 and create a data URI\n  return `data:${mimeType};base64,${imageStr}`;\n}\n\n/**\n * Gets a stable cache key component for image content.\n * Used for generating hash keys for caching purposes.\n *\n * @param image - The image data in various formats\n * @returns A string or number suitable for cache key generation\n */\nexport function getImageCacheKey(image: ImageContent): string | number {\n  if (image instanceof URL) {\n    return image.toString();\n  }\n\n  if (typeof image === 'string') {\n    return image.length;\n  }\n\n  if (image instanceof Uint8Array) {\n    return image.byteLength;\n  }\n\n  if (image instanceof ArrayBuffer) {\n    return image.byteLength;\n  }\n\n  return image;\n}\n\n/**\n * Checks if a string is a valid URL (including protocol-relative URLs).\n *\n * @param str - The string to check\n * @returns true if the string is a valid URL\n */\nexport function isValidUrl(str: string): boolean {\n  try {\n    new URL(str);\n    return true;\n  } catch {\n    // Try as protocol-relative URL\n    if (str.startsWith('//')) {\n      try {\n        new URL(`https:${str}`);\n        return true;\n      } catch {\n        return false;\n      }\n    }\n    return false;\n  }\n}\n\n/**\n * Categorizes a string as a URL, data URI, or raw data (base64/other).\n * Also extracts MIME type from data URIs when present.\n *\n * @param data - The string data to categorize\n * @param fallbackMimeType - Optional fallback MIME type\n * @returns Categorized data with type and extracted MIME type\n */\nexport function categorizeFileData(\n  data: string,\n  fallbackMimeType?: string,\n): {\n  type: 'url' | 'dataUri' | 'raw';\n  mimeType?: string;\n  data: string;\n} {\n  // Parse as data URI first to extract MIME type\n  const parsed = parseDataUri(data);\n  const mimeType = parsed.isDataUri && parsed.mimeType ? parsed.mimeType : fallbackMimeType;\n\n  // Check if it's a data URI\n  if (parsed.isDataUri) {\n    return {\n      type: 'dataUri',\n      mimeType,\n      data,\n    };\n  }\n\n  // Check if it's a URL\n  if (isValidUrl(data)) {\n    return {\n      type: 'url',\n      mimeType,\n      data,\n    };\n  }\n\n  // Otherwise it's raw data (likely base64 or other string data)\n  return {\n    type: 'raw',\n    mimeType,\n    data,\n  };\n}\n\n/**\n * Classifies a string as a URL, data URI, or raw data.\n *\n * @param data - The string to classify\n * @returns Object with classification and extracted metadata\n */\nexport function classifyFileData(data: string): {\n  type: 'url' | 'dataUri' | 'base64' | 'other';\n  mimeType?: string;\n} {\n  // Check if it's a data URI\n  const parsed = parseDataUri(data);\n  if (parsed.isDataUri) {\n    return {\n      type: 'dataUri',\n      mimeType: parsed.mimeType,\n    };\n  }\n\n  // Check if it's a URL\n  if (isValidUrl(data)) {\n    return { type: 'url' };\n  }\n\n  // Check if it looks like base64 (simple heuristic)\n  if (/^[A-Za-z0-9+/\\-_]+=*$/.test(data) && data.length > 20) {\n    return { type: 'base64' };\n  }\n\n  return { type: 'other' };\n}\n","const RESPONSE_ITEM_ID_PROVIDERS = ['openai', 'azure'] as const;\n\nexport type ResponseItemIdProvider = (typeof RESPONSE_ITEM_ID_PROVIDERS)[number];\n\nfunction formatResponseProviderItemKey(provider: ResponseItemIdProvider, itemId: string): string {\n  // Keep the provider namespace in the key so matching Azure/OpenAI item IDs\n  // cannot merge across provider-specific response streams.\n  return `${provider}:${itemId}`;\n}\n\nexport function getResponseProviderItemId(\n  providerMetadata: Record<string, unknown> | undefined,\n): { provider: ResponseItemIdProvider; itemId: string } | undefined {\n  return getResponseProviderItemIds(providerMetadata)[0];\n}\n\nexport function getResponseProviderItemKey(providerMetadata: Record<string, unknown> | undefined): string | undefined {\n  const item = getResponseProviderItemId(providerMetadata);\n  return item ? formatResponseProviderItemKey(item.provider, item.itemId) : undefined;\n}\n\nexport function getResponseProviderItemIds(\n  providerMetadata: Record<string, unknown> | undefined,\n): Array<{ provider: ResponseItemIdProvider; itemId: string }> {\n  if (!providerMetadata) return [];\n\n  const azureMetadata = providerMetadata.azure as Record<string, unknown> | undefined;\n  const azureItemId = azureMetadata?.itemId;\n  const openaiMetadata = providerMetadata.openai as Record<string, unknown> | undefined;\n  const openaiItemId = openaiMetadata?.itemId;\n  if (typeof azureItemId === 'string' && azureItemId === openaiItemId) {\n    return [{ provider: 'azure', itemId: azureItemId }];\n  }\n\n  // AI SDK Responses metadata is expected to use exactly one provider namespace\n  // per part. If a future proxy adds both, keep this deterministic.\n  return RESPONSE_ITEM_ID_PROVIDERS.flatMap(provider => {\n    const metadata = providerMetadata[provider] as Record<string, unknown> | undefined;\n    const itemId = metadata?.itemId;\n    return typeof itemId === 'string' ? [{ provider, itemId }] : [];\n  });\n}\n\nexport function getResponseProviderItemKeys(providerMetadata: Record<string, unknown> | undefined): string[] {\n  return getResponseProviderItemIds(providerMetadata).map(({ provider, itemId }) =>\n    formatResponseProviderItemKey(provider, itemId),\n  );\n}\n","import type { CoreMessage as CoreMessageV4 } from '@internal/ai-sdk-v4';\nimport type { ModelMessage, ToolResultPart } from '@internal/ai-sdk-v5';\n\nimport type { IMastraLogger } from '../../../logger';\nimport type { MastraDBMessage } from '../state/types';\nimport { getResponseProviderItemId } from './response-item-metadata';\nimport type { ResponseItemIdProvider } from './response-item-metadata';\n\n/**\n * Tool result with input field (Anthropic requirement)\n */\nexport type ToolResultWithInput = ToolResultPart & {\n  input: Record<string, unknown>;\n};\n\n// ============================================================================\n// Gemini Compatibility\n// ============================================================================\n\n/**\n * Ensures message array is compatible with Gemini API requirements.\n *\n * Gemini API requires:\n * 1. The first non-system message must be from the user role\n * 2. Cannot have only system messages - at least one user/assistant is required\n *\n * @param messages - Array of model messages to validate and fix\n * @param logger - Optional logger for warnings\n * @returns Modified messages array that satisfies Gemini requirements\n *\n * @see https://github.com/mastra-ai/mastra/issues/7287 - Tool call ordering\n * @see https://github.com/mastra-ai/mastra/issues/8053 - Single turn validation\n * @see https://github.com/mastra-ai/mastra/issues/13045 - Empty thread support\n */\nexport function ensureGeminiCompatibleMessages<T extends ModelMessage | CoreMessageV4>(\n  messages: T[],\n  logger?: IMastraLogger,\n): T[] {\n  const result = [...messages];\n\n  // Ensure first non-system message is user\n  const firstNonSystemIndex = result.findIndex(m => m.role !== 'system');\n\n  if (firstNonSystemIndex === -1) {\n    // Only system messages or empty — warn and pass through unchanged.\n    // Providers that support system-only prompts (Anthropic, OpenAI) will work natively.\n    // Providers that don't (Gemini) will return their own error.\n    if (result.length > 0) {\n      logger?.warn(\n        'No user or assistant messages in the request. Some providers (e.g. Gemini) require at least one user message to generate a response.',\n      );\n    }\n  } else if (result[firstNonSystemIndex]?.role === 'assistant') {\n    // First non-system is assistant, insert user message before it\n    result.splice(firstNonSystemIndex, 0, {\n      role: 'user',\n      content: '.',\n    } as T);\n  }\n\n  return result;\n}\n\n// ============================================================================\n// Anthropic Compatibility\n// ============================================================================\n\n/**\n * Ensures model messages are compatible with Anthropic API requirements.\n *\n * Anthropic API requires tool-result parts to include an 'input' field\n * that matches the original tool call arguments.\n *\n * @param messages - Array of model messages to transform\n * @param dbMessages - MastraDB messages to look up tool call args from\n * @returns Messages with tool-result parts enriched with input field\n *\n * @see https://github.com/mastra-ai/mastra/issues/11376 - Anthropic models fail with empty object tool input\n */\nexport function ensureAnthropicCompatibleMessages(\n  messages: ModelMessage[],\n  dbMessages: MastraDBMessage[],\n): ModelMessage[] {\n  return messages.map(msg => enrichToolResultsWithInput(msg, dbMessages));\n}\n\n/**\n * Removes orphan tool_use / tool_result blocks. Anthropic requires every tool_result\n * to be in the message immediately after its matching tool_use, and every tool_use\n * to have a matching tool_result in the next message. Recall windows can slice\n * through a parallel tool-call group and leave behind half a pair.\n */\nexport function sanitizeOrphanedToolPairs(messages: ModelMessage[]): ModelMessage[] {\n  const filteredContents = messages.map(m => (Array.isArray(m.content) ? [...m.content] : null));\n\n  for (let i = 0; i < messages.length; i++) {\n    const current = messages[i]!;\n\n    if (current.role === 'assistant' && Array.isArray(current.content)) {\n      const useIds = new Set<string>();\n      const inlineResultIds = new Set<string>();\n      for (const part of current.content) {\n        if (part.type === 'tool-call') useIds.add(part.toolCallId);\n        else if (part.type === 'tool-result') inlineResultIds.add(part.toolCallId);\n      }\n\n      const next = messages[i + 1];\n      const nextResultIds = new Set<string>();\n      if (next && next.role === 'tool' && Array.isArray(next.content)) {\n        for (const part of next.content) {\n          if (part.type === 'tool-result') nextResultIds.add(part.toolCallId);\n        }\n      }\n\n      const validPairs = new Set([...useIds].filter(id => inlineResultIds.has(id) || nextResultIds.has(id)));\n\n      filteredContents[i] = filteredContents[i]!.filter(p => {\n        if (p.type !== 'tool-call') return true;\n        const tc = p as { toolCallId: string; providerExecuted?: boolean };\n        // Provider-executed tools may be deferred (e.g. Anthropic web_search): the tool_use\n        // can appear without a matching tool_result until the provider resumes on the next call.\n        return tc.providerExecuted === true || validPairs.has(tc.toolCallId);\n      });\n\n      if (next && next.role === 'tool' && Array.isArray(next.content)) {\n        filteredContents[i + 1] = filteredContents[i + 1]!.filter(\n          p => p.type !== 'tool-result' || validPairs.has((p as { toolCallId: string }).toolCallId),\n        );\n      }\n    } else if (current.role === 'tool' && Array.isArray(current.content)) {\n      const prev = messages[i - 1];\n      if (!prev || prev.role !== 'assistant' || !Array.isArray(prev.content)) {\n        filteredContents[i] = filteredContents[i]!.filter(p => p.type !== 'tool-result');\n      }\n    }\n  }\n\n  const result: ModelMessage[] = [];\n  for (let i = 0; i < messages.length; i++) {\n    const original = messages[i]!;\n    const filtered = filteredContents[i];\n    if (filtered == null) {\n      result.push(original);\n      continue;\n    }\n    if (filtered.length === 0) continue;\n    if (Array.isArray(original.content) && filtered.length === original.content.length) {\n      result.push(original);\n      continue;\n    }\n    result.push({ ...original, content: filtered } as ModelMessage);\n  }\n\n  return result;\n}\n\n/**\n * Enriches a single message's tool-result parts with input field\n */\nfunction enrichToolResultsWithInput(message: ModelMessage, dbMessages: MastraDBMessage[]): ModelMessage {\n  if (message.role !== 'tool' || !Array.isArray(message.content)) {\n    return message;\n  }\n\n  return {\n    ...message,\n    content: message.content.map(part => {\n      if (part.type === 'tool-result') {\n        return {\n          ...part,\n          input: findToolCallArgs(dbMessages, part.toolCallId),\n        } as ToolResultWithInput;\n      }\n      return part;\n    }),\n  } as ModelMessage;\n}\n\n// ============================================================================\n// OpenAI-compatible Responses Compatibility\n// ============================================================================\n\n/**\n * Checks if a message part has an OpenAI reasoning itemId.\n *\n * OpenAI Responses reasoning items are tracked via `providerMetadata.openai.itemId`.\n * Each reasoning item has a unique itemId that must be preserved for proper deduplication.\n *\n * @param part - A message part to check\n * @returns true if the part has an OpenAI itemId\n *\n * @see https://github.com/mastra-ai/mastra/issues/9005 - OpenAI reasoning items filtering\n */\nexport function hasOpenAIReasoningItemId(part: unknown): boolean {\n  return Boolean(getOpenAIReasoningItemId(part));\n}\n\n/**\n * Checks if a message part has an OpenAI-compatible Responses itemId.\n *\n * Provider-neutral Responses item IDs are tracked via provider metadata or\n * provider options fields such as `openai.itemId` or `azure.itemId`.\n */\nexport function hasResponseProviderItemId(part: unknown): boolean {\n  return Boolean(getResponseProviderItemIdFromPart(part));\n}\n\n/**\n * Extracts an OpenAI itemId from a message part if present.\n *\n * This only inspects `providerMetadata.openai.itemId`; use\n * `getResponseProviderItemIdFromPart` for provider-aware Azure/OpenAI lookups.\n *\n * @param part - A message part to extract from\n * @returns The itemId string or undefined if not present\n */\nexport function getOpenAIReasoningItemId(part: unknown): string | undefined {\n  if (!part || typeof part !== 'object') return undefined;\n  const partAny = part as Record<string, unknown>;\n  const providerMetadata = partAny.providerMetadata as Record<string, unknown> | undefined;\n  const openaiMetadata = providerMetadata?.openai as Record<string, unknown> | undefined;\n  return typeof openaiMetadata?.itemId === 'string' ? openaiMetadata.itemId : undefined;\n}\n\nexport function getResponseProviderItemIdFromPart(\n  part: unknown,\n): { provider: ResponseItemIdProvider; itemId: string } | undefined {\n  if (!part || typeof part !== 'object') return undefined;\n  const partAny = part as Record<string, unknown>;\n\n  return (\n    getResponseProviderItemId(partAny.providerMetadata as Record<string, unknown> | undefined) ||\n    getResponseProviderItemId(partAny.providerOptions as Record<string, unknown> | undefined)\n  );\n}\n\n// ============================================================================\n// Tool Call Args Lookup\n// ============================================================================\n\n/**\n * Finds the tool call args for a given toolCallId by searching through messages.\n * This is used to reconstruct the input field when converting tool-result parts to StaticToolResult.\n *\n * Searches through messages in reverse order (most recent first) for better performance.\n * Checks both content.parts (v2 format) and toolInvocations (legacy AIV4 format).\n *\n * @param messages - Array of MastraDB messages to search through\n * @param toolCallId - The ID of the tool call to find args for\n * @returns The args object from the matching tool call, or an empty object if not found\n */\nexport function findToolCallArgs(messages: MastraDBMessage[], toolCallId: string): Record<string, unknown> {\n  // Search through all messages in reverse order (most recent first) for better performance\n  for (let i = messages.length - 1; i >= 0; i--) {\n    const msg = messages[i];\n    if (!msg || msg.role !== 'assistant') {\n      continue;\n    }\n\n    // Check both content.parts (v2 format) and toolInvocations (legacy format)\n    if (msg.content.parts) {\n      // Look for tool-invocation with matching toolCallId (can be in 'call' or 'result' state)\n      const toolCallPart = msg.content.parts.find(\n        p => p.type === 'tool-invocation' && p.toolInvocation.toolCallId === toolCallId,\n      );\n\n      if (toolCallPart && toolCallPart.type === 'tool-invocation') {\n        const args = toolCallPart.toolInvocation.args || {};\n        if (typeof args === 'object' && Object.keys(args).length > 0) {\n          return args;\n        }\n      }\n    }\n\n    // Also check toolInvocations array (AIV4 format)\n    if (msg.content.toolInvocations) {\n      const toolInvocation = msg.content.toolInvocations.find(inv => inv.toolCallId === toolCallId);\n\n      if (toolInvocation) {\n        const args = toolInvocation.args || {};\n        if (typeof args === 'object' && Object.keys(args).length > 0) {\n          return args;\n        }\n      }\n    }\n  }\n\n  // If not found in DB messages, return empty object\n  return {};\n}\n","import type {\n  UIMessage as UIMessageV4,\n  CoreMessage as CoreMessageV4,\n  ToolInvocation as ToolInvocationV4,\n} from '@internal/ai-sdk-v4';\n\nimport { MastraError, ErrorDomain, ErrorCategory } from '../../../error';\nimport { getTransformedToolPayload, hasTransformedToolPayload } from '../../../tools/payload-transform';\nimport { TypeDetector } from '../detection/TypeDetector';\nimport { convertDataContentToBase64String } from '../prompt/data-content';\nimport { categorizeFileData, createDataUri, imageContentToString } from '../prompt/image-utils';\nimport type {\n  MastraDBMessage,\n  MastraMessageContentV2,\n  MastraMessagePart,\n  UIMessageV4Part,\n  MessageSource,\n  UIMessageWithMetadata,\n} from '../state/types';\nimport { findToolCallArgs } from '../utils/provider-compat';\n\nfunction getDisplayTransform(\n  providerMetadata: unknown,\n  phase: 'input-available' | 'output-available' | 'error',\n  fallback: unknown,\n  enabled = true,\n) {\n  if (!enabled) {\n    return fallback;\n  }\n  const transform = getTransformedToolPayload(providerMetadata, 'display', phase);\n  return hasTransformedToolPayload(transform) ? transform.transformed : fallback;\n}\n\nfunction transformV4ToolInvocationForDisplay(\n  invocation: NonNullable<MastraMessageContentV2['toolInvocations']>[number],\n  providerMetadata: unknown,\n  enabled: boolean,\n) {\n  return {\n    ...invocation,\n    args: getDisplayTransform(providerMetadata, 'input-available', invocation.args, enabled),\n    ...(invocation.state === 'result'\n      ? {\n          result: getDisplayTransform(\n            providerMetadata,\n            'output-available',\n            getDisplayTransform(providerMetadata, 'error', invocation.result, enabled),\n            enabled,\n          ),\n        }\n      : {}),\n  };\n}\n\n/**\n * Cast Mastra parts (including data-* extensions) to the V4 UI parts type.\n * Data-* parts (e.g. data-tool-call-suspended) are not natively typed in AI SDK V4,\n * but must be preserved so features like HITL workflow resumption work after a page refresh.\n */\nfunction preserveExtendedParts(parts: MastraMessagePart[]): UIMessageV4Part[] {\n  return parts as UIMessageV4Part[];\n}\n\n/**\n * Filter out empty text parts from message parts array.\n * Empty text blocks are not allowed by Anthropic's API and cause request failures.\n * This can happen during streaming when text-start/text-end events occur without actual content.\n * However, if the only part is an empty text part, it is preserved as a legitimate placeholder\n * (e.g. empty assistant messages between tool results and user messages).\n */\nfunction filterEmptyTextParts(parts: MastraMessagePart[]): MastraMessagePart[] {\n  const hasNonEmptyParts = parts.some(part => !(part.type === 'text' && part.text === ''));\n  if (!hasNonEmptyParts) return parts;\n  return parts.filter(part => {\n    if (part.type === 'text') {\n      return part.text !== '';\n    }\n    return true;\n  });\n}\n\nfunction getSignalType(message: MastraDBMessage): string | undefined {\n  const signal = message.content.metadata?.signal;\n  if (signal && typeof signal === 'object' && !Array.isArray(signal)) {\n    const type = (signal as Record<string, unknown>).type;\n    return typeof type === 'string' ? type : message.type;\n  }\n\n  return message.type;\n}\n\nfunction getSignalTagName(message: MastraDBMessage): string | undefined {\n  const signal = message.content.metadata?.signal;\n  if (signal && typeof signal === 'object' && !Array.isArray(signal)) {\n    const tagName = (signal as Record<string, unknown>).tagName;\n    if (typeof tagName === 'string') return tagName;\n  }\n\n  const type = getSignalType(message);\n  if (type === 'user') return 'user';\n  if (type === 'reactive') return message.type;\n  return type;\n}\n\nfunction isUserSignalType(type: string | undefined): boolean {\n  return type === 'user' || type === 'user-message';\n}\n\nfunction toSignalDataPart(message: MastraDBMessage, contents: string): MastraMessagePart {\n  const signal =\n    message.content.metadata?.signal && typeof message.content.metadata.signal === 'object'\n      ? (message.content.metadata.signal as Record<string, unknown>)\n      : {};\n  const metadata =\n    signal.metadata && typeof signal.metadata === 'object' && !Array.isArray(signal.metadata)\n      ? (signal.metadata as Record<string, unknown>)\n      : {};\n  const attributes =\n    signal.attributes && typeof signal.attributes === 'object' && !Array.isArray(signal.attributes)\n      ? (signal.attributes as Record<string, unknown>)\n      : {};\n\n  const type = getSignalType(message) ?? 'signal';\n  const tagName = getSignalTagName(message) ?? type;\n  return {\n    type: type === 'user' ? 'data-user-message' : 'data-signal',\n    data: {\n      id: typeof signal.id === 'string' ? signal.id : message.id,\n      type,\n      tagName,\n      contents: 'contents' in signal ? signal.contents : contents,\n      createdAt: typeof signal.createdAt === 'string' ? signal.createdAt : message.createdAt.toISOString(),\n      ...(typeof signal.acceptedAt === 'string' ? { acceptedAt: signal.acceptedAt } : {}),\n      ...(Object.keys(attributes).length ? { attributes } : {}),\n      ...(Object.keys(metadata).length ? { metadata } : {}),\n    },\n  } as MastraMessagePart;\n}\n\n// Re-export for backward compatibility\nexport type { UIMessageWithMetadata };\n\nexport interface AIV4AdapterContext {\n  memoryInfo: { threadId?: string; resourceId?: string } | null;\n  newMessageId(): string;\n  generateCreatedAt(messageSource: MessageSource, start?: unknown): Date;\n  /** Messages array for looking up tool call args */\n  dbMessages?: MastraDBMessage[];\n}\n\n/**\n * AIV4Adapter - Handles conversions between MastraDBMessage and AI SDK V4 formats\n *\n * This adapter centralizes all AI SDK V4 (UIMessage and CoreMessage) conversion logic.\n */\nexport class AIV4Adapter {\n  /**\n   * Convert MastraDBMessage to AI SDK V4 UIMessage\n   */\n  static toUIMessage(m: MastraDBMessage, options?: { transformToolPayloads?: boolean }): UIMessageWithMetadata {\n    const transformToolPayloads = options?.transformToolPayloads ?? true;\n    const experimentalAttachments: UIMessageWithMetadata['experimental_attachments'] = m.content\n      .experimental_attachments\n      ? [...m.content.experimental_attachments]\n      : [];\n    const contentString =\n      typeof m.content.content === `string` && m.content.content !== ''\n        ? m.content.content\n        : (m.content.parts ?? []).reduce((prev, part) => {\n            if (part.type === `text`) {\n              // return only the last text part like AI SDK does\n              return part.text;\n            }\n            return prev;\n          }, '');\n\n    const parts: MastraMessageContentV2['parts'] = [];\n    const sourceParts = m.content.parts ?? [];\n\n    if (sourceParts.length) {\n      for (const part of sourceParts) {\n        if (part.type === `file`) {\n          // Normalize part.data to ensure it's a valid URL or data URI\n          let normalizedUrl: string;\n          if (typeof part.data === 'string') {\n            const categorized = categorizeFileData(part.data, part.mimeType);\n            if (categorized.type === 'raw') {\n              // Raw base64 - convert to data URI\n              normalizedUrl = createDataUri(part.data, part.mimeType || 'application/octet-stream');\n            } else {\n              // Already a URL or data URI\n              normalizedUrl = part.data;\n            }\n          } else {\n            // It's a non-string (shouldn't happen in practice for file parts, but handle it)\n            normalizedUrl = part.data;\n          }\n\n          experimentalAttachments.push({\n            contentType: part.mimeType,\n            url: normalizedUrl,\n          });\n        } else if (\n          part.type === 'tool-invocation' &&\n          (part.toolInvocation.state === 'call' || part.toolInvocation.state === 'partial-call')\n        ) {\n          // Filter out tool invocations with call or partial-call states\n          continue;\n        } else if (part.type === 'tool-invocation') {\n          // Handle tool invocations with step number logic\n          const toolInvocation = {\n            ...part.toolInvocation,\n            args: getDisplayTransform(\n              part.providerMetadata,\n              'input-available',\n              part.toolInvocation.args,\n              transformToolPayloads,\n            ),\n            ...(part.toolInvocation.state === 'result'\n              ? {\n                  result: getDisplayTransform(\n                    part.providerMetadata,\n                    'output-available',\n                    getDisplayTransform(\n                      part.providerMetadata,\n                      'error',\n                      part.toolInvocation.result,\n                      transformToolPayloads,\n                    ),\n                    transformToolPayloads,\n                  ),\n                }\n              : {}),\n          };\n\n          // Find the step number for this tool invocation\n          let currentStep = -1;\n          let toolStep = -1;\n          for (const innerPart of sourceParts) {\n            if (innerPart.type === `step-start`) currentStep++;\n            if (\n              innerPart.type === `tool-invocation` &&\n              innerPart.toolInvocation.toolCallId === part.toolInvocation.toolCallId\n            ) {\n              toolStep = currentStep;\n              break;\n            }\n          }\n\n          if (toolStep >= 0) {\n            const preparedInvocation = {\n              step: toolStep,\n              ...toolInvocation,\n            };\n            parts.push({\n              type: 'tool-invocation',\n              toolInvocation: preparedInvocation,\n            });\n          } else {\n            parts.push({\n              type: 'tool-invocation',\n              toolInvocation,\n            });\n          }\n        } else {\n          parts.push(part);\n        }\n      }\n    }\n\n    if (parts.length === 0 && experimentalAttachments.length > 0) {\n      // make sure we have atleast one part so this message doesn't get removed when converting to core message\n      parts.push({ type: 'text', text: '' });\n    }\n\n    const signalType = m.role === 'signal' ? getSignalType(m) : undefined;\n    const isUserMessageSignal = isUserSignalType(signalType);\n    const v4Parts = preserveExtendedParts(\n      m.role === 'signal' && !isUserMessageSignal ? [toSignalDataPart(m, m.content.content || contentString)] : parts,\n    );\n\n    if (m.role === `user`) {\n      const uiMessage: UIMessageWithMetadata = {\n        id: m.id,\n        role: m.role,\n        content: m.content.content || contentString,\n        createdAt: m.createdAt,\n        parts: v4Parts,\n        experimental_attachments: experimentalAttachments,\n      };\n      // Preserve metadata if present\n      if (m.content.metadata) {\n        uiMessage.metadata = m.content.metadata;\n      }\n      return uiMessage;\n    } else if (m.role === `assistant`) {\n      const isSingleTextContentArray =\n        Array.isArray(m.content.content) && m.content.content.length === 1 && m.content.content[0].type === `text`;\n\n      const uiMessage: UIMessageWithMetadata = {\n        id: m.id,\n        role: m.role,\n        content: isSingleTextContentArray ? contentString : m.content.content || contentString,\n        createdAt: m.createdAt,\n        parts: v4Parts,\n        reasoning: undefined,\n        toolInvocations:\n          `toolInvocations` in m.content\n            ? m.content.toolInvocations\n                ?.filter(t => t.state === 'result')\n                .map(toolInvocation => {\n                  const partProviderMetadata = m.content.parts?.find(\n                    part =>\n                      part.type === 'tool-invocation' && part.toolInvocation.toolCallId === toolInvocation.toolCallId,\n                  )?.providerMetadata;\n                  return transformV4ToolInvocationForDisplay(\n                    toolInvocation,\n                    partProviderMetadata,\n                    transformToolPayloads,\n                  );\n                })\n            : undefined,\n      };\n      // Preserve metadata if present\n      if (m.content.metadata) {\n        uiMessage.metadata = m.content.metadata;\n      }\n      return uiMessage;\n    }\n\n    const uiMessage: UIMessageWithMetadata = {\n      id: m.id,\n      role: m.role === 'signal' ? (isUserMessageSignal ? 'user' : 'system') : m.role,\n      content: m.role === 'signal' && !isUserMessageSignal ? '' : m.content.content || contentString,\n      createdAt: m.createdAt,\n      parts: v4Parts,\n      experimental_attachments: experimentalAttachments,\n    };\n    // Preserve metadata if present\n    if (m.content.metadata) {\n      uiMessage.metadata = m.content.metadata;\n    }\n    return uiMessage;\n  }\n\n  /**\n   * Converts a MastraDBMessage system message directly to AIV4 CoreMessage format\n   */\n  static systemToV4Core(message: MastraDBMessage): CoreMessageV4 {\n    if (message.role !== `system` || !message.content.content)\n      throw new MastraError({\n        id: 'INVALID_SYSTEM_MESSAGE_FORMAT',\n        domain: ErrorDomain.AGENT,\n        category: ErrorCategory.USER,\n        text: `Invalid system message format. System messages must include 'role' and 'content' properties. The content should be a string.`,\n        details: {\n          receivedMessage: JSON.stringify(message, null, 2),\n        },\n      });\n\n    const coreMessage: CoreMessageV4 = { role: 'system', content: message.content.content };\n\n    // Preserve message-level providerMetadata as experimental_providerMetadata (V4 field name)\n    if (message.content.providerMetadata) {\n      coreMessage.experimental_providerMetadata = message.content.providerMetadata;\n    }\n\n    return coreMessage;\n  }\n\n  /**\n   * Convert AI SDK V4 UIMessage to MastraDBMessage\n   */\n  static fromUIMessage(\n    message: UIMessageV4 | UIMessageWithMetadata,\n    ctx: AIV4AdapterContext,\n    messageSource: MessageSource,\n  ): MastraDBMessage {\n    // Filter out empty text parts to prevent Anthropic API errors\n    const filteredParts = message.parts ? filterEmptyTextParts(message.parts) : [];\n\n    const content: MastraMessageContentV2 = {\n      format: 2,\n      parts: filteredParts,\n    };\n\n    if (message.toolInvocations) content.toolInvocations = message.toolInvocations;\n    if (message.reasoning) content.reasoning = message.reasoning;\n    if (message.annotations) content.annotations = message.annotations;\n    if (message.experimental_attachments) {\n      content.experimental_attachments = message.experimental_attachments;\n    }\n    // Preserve metadata field if present\n    if ('metadata' in message && message.metadata !== null && message.metadata !== undefined) {\n      content.metadata = message.metadata as Record<string, unknown>;\n    }\n\n    return {\n      id: message.id || ctx.newMessageId(),\n      role: TypeDetector.getRole(message),\n      createdAt: ctx.generateCreatedAt(messageSource, message.createdAt),\n      threadId: ctx.memoryInfo?.threadId,\n      resourceId: ctx.memoryInfo?.resourceId,\n      content,\n    } satisfies MastraDBMessage;\n  }\n\n  /**\n   * Convert AI SDK V4 CoreMessage to MastraDBMessage\n   */\n  static fromCoreMessage(\n    coreMessage: CoreMessageV4,\n    ctx: AIV4AdapterContext,\n    messageSource: MessageSource,\n  ): MastraDBMessage {\n    const id = `id` in coreMessage ? (coreMessage.id as string) : ctx.newMessageId();\n    const parts: UIMessageV4['parts'] = [];\n    const experimentalAttachments: UIMessageV4['experimental_attachments'] = [];\n    const toolInvocations: ToolInvocationV4[] = [];\n\n    const isSingleTextContent =\n      messageSource === `response` &&\n      Array.isArray(coreMessage.content) &&\n      coreMessage.content.length === 1 &&\n      coreMessage.content[0] &&\n      coreMessage.content[0].type === `text` &&\n      `text` in coreMessage.content[0] &&\n      coreMessage.content[0].text;\n\n    if (isSingleTextContent && messageSource === `response`) {\n      coreMessage.content = isSingleTextContent;\n    }\n\n    if (typeof coreMessage.content === 'string') {\n      parts.push({\n        type: 'text',\n        text: coreMessage.content,\n      });\n    } else if (Array.isArray(coreMessage.content)) {\n      for (const aiV4Part of coreMessage.content) {\n        switch (aiV4Part.type) {\n          case 'text': {\n            // Add step-start only after tool invocations, not at the beginning\n            const prevPart = parts.at(-1);\n            if (coreMessage.role === 'assistant' && prevPart && prevPart.type === 'tool-invocation') {\n              parts.push({ type: 'step-start' });\n            }\n\n            const part: UIMessageV4Part = {\n              type: 'text' as const,\n              text: aiV4Part.text,\n            };\n            if (aiV4Part.providerOptions) {\n              part.providerMetadata = aiV4Part.providerOptions;\n            }\n            parts.push(part);\n            break;\n          }\n\n          case 'tool-call': {\n            const part: UIMessageV4Part = {\n              type: 'tool-invocation' as const,\n              toolInvocation: {\n                state: 'call',\n                toolCallId: aiV4Part.toolCallId,\n                toolName: aiV4Part.toolName,\n                args: aiV4Part.args,\n              },\n            };\n            if (aiV4Part.providerOptions) {\n              part.providerMetadata = aiV4Part.providerOptions;\n            }\n            parts.push(part);\n            break;\n          }\n\n          case 'tool-result':\n            {\n              // Try to find args from the corresponding tool-call in previous messages\n              let toolArgs: Record<string, unknown> = {};\n\n              // First, check if there's a tool-call in the same message\n              const toolCallInSameMsg = coreMessage.content.find(\n                p => p.type === 'tool-call' && p.toolCallId === aiV4Part.toolCallId,\n              );\n              if (toolCallInSameMsg && toolCallInSameMsg.type === 'tool-call') {\n                toolArgs = toolCallInSameMsg.args as Record<string, unknown>;\n              }\n\n              // If not found, look in previous messages for the corresponding tool-call\n              if (Object.keys(toolArgs).length === 0 && ctx.dbMessages) {\n                toolArgs = findToolCallArgs(ctx.dbMessages, aiV4Part.toolCallId);\n              }\n\n              // Only use part-level providerOptions if present\n              const invocation: ToolInvocationV4 = {\n                state: 'result' as const,\n                toolCallId: aiV4Part.toolCallId,\n                toolName: aiV4Part.toolName,\n                result: aiV4Part.result ?? '',\n                args: toolArgs,\n              };\n\n              const part: UIMessageV4Part = {\n                type: 'tool-invocation',\n                toolInvocation: invocation,\n              };\n\n              if (aiV4Part.providerOptions) {\n                part.providerMetadata = aiV4Part.providerOptions;\n              }\n\n              parts.push(part);\n              toolInvocations.push(invocation);\n            }\n            break;\n\n          case 'reasoning':\n            {\n              const part: MastraDBMessage['content']['parts'][number] = {\n                type: 'reasoning',\n                reasoning: '',\n                details: [{ type: 'text', text: aiV4Part.text, signature: aiV4Part.signature }],\n              };\n              if (aiV4Part.providerOptions) {\n                part.providerMetadata = aiV4Part.providerOptions;\n              }\n              parts.push(part);\n            }\n            break;\n          case 'redacted-reasoning':\n            {\n              const part: MastraDBMessage['content']['parts'][number] = {\n                type: 'reasoning',\n                reasoning: '',\n                details: [{ type: 'redacted', data: aiV4Part.data }],\n              };\n              if (aiV4Part.providerOptions) {\n                part.providerMetadata = aiV4Part.providerOptions;\n              }\n              parts.push(part);\n            }\n            break;\n          case 'image': {\n            const part: MastraDBMessage['content']['parts'][number] = {\n              type: 'file' as const,\n              data: imageContentToString(aiV4Part.image),\n              mimeType: aiV4Part.mimeType!,\n            };\n            if (aiV4Part.providerOptions) {\n              part.providerMetadata = aiV4Part.providerOptions;\n            }\n            parts.push(part);\n            break;\n          }\n          case 'file': {\n            if (aiV4Part.data instanceof URL) {\n              const part: MastraDBMessage['content']['parts'][number] = {\n                type: 'file' as const,\n                data: aiV4Part.data.toString(),\n                mimeType: aiV4Part.mimeType,\n              };\n              if (aiV4Part.providerOptions) {\n                part.providerMetadata = aiV4Part.providerOptions;\n              }\n              if (aiV4Part.filename) {\n                (part as Record<string, unknown>).filename = aiV4Part.filename;\n              }\n              parts.push(part);\n            } else if (typeof aiV4Part.data === 'string') {\n              const categorized = categorizeFileData(aiV4Part.data, aiV4Part.mimeType);\n\n              if (categorized.type === 'url' || categorized.type === 'dataUri') {\n                const part: MastraDBMessage['content']['parts'][number] = {\n                  type: 'file' as const,\n                  data: aiV4Part.data,\n                  mimeType: categorized.mimeType || 'image/png',\n                };\n                if (aiV4Part.providerOptions) {\n                  part.providerMetadata = aiV4Part.providerOptions;\n                }\n                if (aiV4Part.filename) {\n                  (part as Record<string, unknown>).filename = aiV4Part.filename;\n                }\n                parts.push(part);\n              } else {\n                try {\n                  const part: MastraDBMessage['content']['parts'][number] = {\n                    type: 'file' as const,\n                    mimeType: categorized.mimeType || 'image/png',\n                    data: convertDataContentToBase64String(aiV4Part.data),\n                  };\n                  if (aiV4Part.providerOptions) {\n                    part.providerMetadata = aiV4Part.providerOptions;\n                  }\n                  if (aiV4Part.filename) {\n                    (part as Record<string, unknown>).filename = aiV4Part.filename;\n                  }\n                  parts.push(part);\n                } catch (error) {\n                  console.error(`Failed to convert binary data to base64 in CoreMessage file part: ${error}`, error);\n                }\n              }\n            } else {\n              try {\n                const part: MastraDBMessage['content']['parts'][number] = {\n                  type: 'file' as const,\n                  mimeType: aiV4Part.mimeType,\n                  data: convertDataContentToBase64String(aiV4Part.data),\n                };\n                if (aiV4Part.providerOptions) {\n                  part.providerMetadata = aiV4Part.providerOptions;\n                }\n                if (aiV4Part.filename) {\n                  (part as Record<string, unknown>).filename = aiV4Part.filename;\n                }\n                parts.push(part);\n              } catch (error) {\n                console.error(`Failed to convert binary data to base64 in CoreMessage file part: ${error}`, error);\n              }\n            }\n            break;\n          }\n        }\n      }\n    }\n\n    // Filter out empty text parts to prevent Anthropic API errors\n    const filteredParts = filterEmptyTextParts(parts);\n\n    const content: MastraDBMessage['content'] = {\n      format: 2,\n      parts: filteredParts,\n    };\n\n    if (toolInvocations.length) content.toolInvocations = toolInvocations;\n    if (typeof coreMessage.content === `string`) content.content = coreMessage.content;\n\n    if (experimentalAttachments.length) content.experimental_attachments = experimentalAttachments;\n\n    // V4 uses experimental_providerMetadata, V5 uses providerOptions\n    if (coreMessage.providerOptions) {\n      content.providerMetadata = coreMessage.providerOptions;\n    } else if ('experimental_providerMetadata' in coreMessage && coreMessage.experimental_providerMetadata) {\n      content.providerMetadata = coreMessage.experimental_providerMetadata;\n    }\n\n    if ('metadata' in coreMessage && coreMessage.metadata !== null && coreMessage.metadata !== undefined) {\n      content.metadata = coreMessage.metadata as Record<string, unknown>;\n    }\n\n    const rawCreatedAt =\n      'metadata' in coreMessage &&\n      coreMessage.metadata &&\n      typeof coreMessage.metadata === 'object' &&\n      'createdAt' in coreMessage.metadata\n        ? coreMessage.metadata.createdAt\n        : undefined;\n\n    return {\n      id,\n      role: TypeDetector.getRole(coreMessage),\n      createdAt: ctx.generateCreatedAt(messageSource, rawCreatedAt),\n      threadId: ctx.memoryInfo?.threadId,\n      resourceId: ctx.memoryInfo?.resourceId,\n      content,\n    } satisfies MastraDBMessage;\n  }\n}\n","const TOOL_NAME_PATTERN = /^[a-zA-Z0-9_-]+$/;\n\nexport const FALLBACK_TOOL_NAME = 'unknown_tool';\n\nexport function sanitizeToolName(toolName: unknown): string {\n  if (typeof toolName !== 'string') {\n    return FALLBACK_TOOL_NAME;\n  }\n\n  return TOOL_NAME_PATTERN.test(toolName) ? toolName : FALLBACK_TOOL_NAME;\n}\n","import * as AIV5 from '@internal/ai-sdk-v5';\n\nimport { MastraError, ErrorDomain, ErrorCategory } from '../../../error';\nimport { getTransformedToolPayload, hasTransformedToolPayload } from '../../../tools/payload-transform';\nimport { categorizeFileData, createDataUri, parseDataUri } from '../prompt/image-utils';\nimport type {\n  MastraDBMessage,\n  MastraMessageContentV2,\n  MastraMessagePart,\n  MastraToolInvocationPart,\n  MessageSource,\n} from '../state/types';\nimport type { AIV5Type } from '../types';\nimport { sanitizeToolName } from '../utils/tool-name';\n\n/**\n * Filter out empty text parts from message parts array.\n * Empty text blocks are not allowed by Anthropic's API and cause request failures.\n * This can happen during streaming when text-start/text-end events occur without actual content.\n * However, if the only part is an empty text part, it is preserved as a legitimate placeholder\n * (e.g. empty assistant messages between tool results and user messages).\n */\nfunction filterEmptyTextParts(parts: MastraMessagePart[]): MastraMessagePart[] {\n  const hasNonEmptyParts = parts.some(part => !(part.type === 'text' && part.text === ''));\n  if (!hasNonEmptyParts) return parts;\n  return parts.filter(part => {\n    if (part.type === 'text') {\n      return part.text !== '';\n    }\n    return true;\n  });\n}\n\nfunction getSignalType(message: MastraDBMessage): string | undefined {\n  const signal = message.content.metadata?.signal;\n  if (signal && typeof signal === 'object' && !Array.isArray(signal)) {\n    const type = (signal as Record<string, unknown>).type;\n    return typeof type === 'string' ? type : message.type;\n  }\n\n  return message.type;\n}\n\nfunction getSignalTagName(message: MastraDBMessage): string | undefined {\n  const signal = message.content.metadata?.signal;\n  if (signal && typeof signal === 'object' && !Array.isArray(signal)) {\n    const tagName = (signal as Record<string, unknown>).tagName;\n    if (typeof tagName === 'string') return tagName;\n  }\n\n  const type = getSignalType(message);\n  if (type === 'user') return 'user';\n  if (type === 'reactive') return message.type;\n  return type;\n}\n\nfunction isUserSignalType(type: string | undefined): boolean {\n  return type === 'user' || type === 'user-message';\n}\n\nfunction getTextContent(message: MastraDBMessage): string {\n  return typeof message.content.content === 'string'\n    ? message.content.content\n    : (message.content.parts.find(part => part.type === 'text')?.text ?? '');\n}\n\nfunction toSignalDataPart(message: MastraDBMessage): AIV5Type.DataUIPart<AIV5.UIDataTypes> {\n  const signal =\n    message.content.metadata?.signal && typeof message.content.metadata.signal === 'object'\n      ? (message.content.metadata.signal as Record<string, unknown>)\n      : {};\n  const metadata =\n    signal.metadata && typeof signal.metadata === 'object' && !Array.isArray(signal.metadata)\n      ? (signal.metadata as Record<string, unknown>)\n      : {};\n  const attributes =\n    signal.attributes && typeof signal.attributes === 'object' && !Array.isArray(signal.attributes)\n      ? (signal.attributes as Record<string, unknown>)\n      : {};\n\n  const type = getSignalType(message) ?? 'signal';\n  const tagName = getSignalTagName(message) ?? type;\n  return {\n    type: type === 'user' ? 'data-user-message' : 'data-signal',\n    data: {\n      id: typeof signal.id === 'string' ? signal.id : message.id,\n      type,\n      tagName,\n      contents: 'contents' in signal ? signal.contents : getTextContent(message),\n      createdAt: typeof signal.createdAt === 'string' ? signal.createdAt : message.createdAt.toISOString(),\n      ...(typeof signal.acceptedAt === 'string' ? { acceptedAt: signal.acceptedAt } : {}),\n      ...(Object.keys(attributes).length ? { attributes } : {}),\n      ...(Object.keys(metadata).length ? { metadata } : {}),\n    },\n  } as AIV5Type.DataUIPart<AIV5.UIDataTypes>;\n}\n\n/**\n * Extract tool name from AI SDK v5 tool type string\n *\n * V5 format: \"tool-${toolName}\" or \"dynamic-tool\"\n * V4 format: \"tool-invocation\"\n *\n * @param type - The tool type string from AI SDK v5\n * @returns The tool name or 'dynamic-tool' if it's a dynamic tool\n */\nfunction getToolName(type: string | { type: string }): string {\n  // Handle objects with type property\n  if (typeof type === 'object' && type && 'type' in type) {\n    type = type.type;\n  }\n\n  // Ensure type is a string\n  if (typeof type !== 'string') {\n    return sanitizeToolName(type);\n  }\n\n  if (type === 'dynamic-tool') {\n    return 'dynamic-tool';\n  }\n\n  // Extract tool name from \"tool-${toolName}\" format\n  if (type.startsWith('tool-')) {\n    return sanitizeToolName(type.slice('tool-'.length)); // Remove \"tool-\" prefix\n  }\n\n  // Fallback for unexpected formats\n  return sanitizeToolName(type);\n}\n\nfunction mergeMastraCreatedAt(metadata: AIV5Type.ProviderMetadata | undefined, createdAt?: number) {\n  if (createdAt == null) {\n    return metadata;\n  }\n\n  return {\n    ...(metadata || {}),\n    mastra: {\n      ...(((metadata || {}).mastra as Record<string, unknown> | undefined) || {}),\n      createdAt,\n    },\n  } satisfies AIV5Type.ProviderMetadata;\n}\n\nfunction getMastraCreatedAt(providerMetadata?: AIV5Type.ProviderMetadata): number | undefined {\n  const value = providerMetadata?.mastra;\n  if (!value || typeof value !== 'object') {\n    return undefined;\n  }\n\n  const createdAt = (value as Record<string, unknown>).createdAt;\n  return typeof createdAt === 'number' ? createdAt : undefined;\n}\n\nfunction getDisplayTransform(\n  providerMetadata: unknown,\n  phase: 'input-available' | 'output-available' | 'error' | 'approval' | 'suspend',\n  fallback: unknown,\n  enabled = true,\n) {\n  if (!enabled) {\n    return fallback;\n  }\n  const transform = getTransformedToolPayload(providerMetadata, 'display', phase);\n  return hasTransformedToolPayload(transform) ? transform.transformed : fallback;\n}\n\nfunction transformToolStateDataForDisplay(data: unknown, phase: 'approval' | 'suspend', enabled = true): unknown {\n  if (!enabled) {\n    return data;\n  }\n  if (!data || typeof data !== 'object') {\n    return data;\n  }\n\n  const stateData = data as Record<string, unknown>;\n  const metadata = stateData.metadata ?? stateData.providerMetadata;\n  const argsTransform = getTransformedToolPayload(metadata, 'display', phase);\n  const inputTransform = getTransformedToolPayload(metadata, 'display', 'input-available');\n  const transformedArgs =\n    phase === 'approval'\n      ? hasTransformedToolPayload(argsTransform)\n        ? argsTransform.transformed\n        : hasTransformedToolPayload(inputTransform)\n          ? inputTransform.transformed\n          : undefined\n      : hasTransformedToolPayload(inputTransform)\n        ? inputTransform.transformed\n        : hasTransformedToolPayload(argsTransform)\n          ? argsTransform.transformed\n          : undefined;\n  const transformedSuspendPayload =\n    phase === 'suspend' && hasTransformedToolPayload(argsTransform) ? argsTransform.transformed : undefined;\n\n  return {\n    ...stateData,\n    ...(transformedArgs !== undefined ? { args: transformedArgs } : {}),\n    ...(transformedSuspendPayload !== undefined ? { suspendPayload: transformedSuspendPayload } : {}),\n  };\n}\n\nexport interface AIV5AdapterContext {\n  memoryInfo: { threadId?: string; resourceId?: string } | null;\n  newMessageId?(): string;\n  generateCreatedAt?(messageSource: MessageSource, start?: unknown): Date;\n}\n\n/**\n * AIV5Adapter - Handles conversions between MastraDBMessage and AI SDK V5 formats\n *\n * This adapter centralizes all AI SDK V5 (UIMessage and ModelMessage) conversion logic.\n */\nexport class AIV5Adapter {\n  /**\n   * Direct conversion from MastraDBMessage to AIV5 UIMessage\n   */\n  static toUIMessage(dbMsg: MastraDBMessage, options?: { transformToolPayloads?: boolean }): AIV5Type.UIMessage {\n    const signalType = dbMsg.role === 'signal' ? getSignalType(dbMsg) : undefined;\n    const isUserMessageSignal = isUserSignalType(signalType);\n    const transformToolPayloads = options?.transformToolPayloads ?? true;\n    const parts: AIV5Type.UIMessage['parts'] = [];\n    const metadata: Record<string, unknown> = { ...(dbMsg.content.metadata || {}) };\n\n    if (dbMsg.role === 'signal' && !isUserMessageSignal) {\n      parts.push(toSignalDataPart(dbMsg));\n    }\n\n    // Add Mastra-specific metadata\n    if (dbMsg.createdAt) metadata.createdAt = dbMsg.createdAt;\n    if (dbMsg.threadId) metadata.threadId = dbMsg.threadId;\n    if (dbMsg.resourceId) metadata.resourceId = dbMsg.resourceId;\n\n    // Preserve message-level providerMetadata in metadata so it survives UI → Model conversion\n    if (dbMsg.content.providerMetadata) {\n      metadata.providerMetadata = dbMsg.content.providerMetadata;\n    }\n\n    if (dbMsg.role === 'signal' && !isUserMessageSignal) {\n      return {\n        id: dbMsg.id,\n        role: 'system',\n        metadata,\n        parts,\n      };\n    }\n\n    // 1. Handle tool invocations (only if not already in parts array)\n    const hasToolInvocationParts = dbMsg.content.parts?.some(p => p.type === 'tool-invocation');\n    if (dbMsg.content.toolInvocations && !hasToolInvocationParts) {\n      for (const invocation of dbMsg.content.toolInvocations) {\n        if (invocation.state === 'result') {\n          parts.push({\n            type: `tool-${invocation.toolName}`,\n            toolCallId: invocation.toolCallId,\n            state: 'output-available',\n            input: invocation.args,\n            output: invocation.result,\n          });\n        } else {\n          parts.push({\n            type: `tool-${invocation.toolName}`,\n            toolCallId: invocation.toolCallId,\n            state: invocation.state === 'call' ? 'input-available' : 'input-streaming',\n            input: invocation.args,\n          });\n        }\n      }\n    }\n\n    // 2. Check if we have parts with providerMetadata first\n    const hasReasoningInParts = dbMsg.content.parts?.some(p => p.type === 'reasoning');\n    const hasFileInParts = dbMsg.content.parts?.some(p => p.type === 'file');\n\n    // 3. Handle reasoning (AIV4 reasoning is a string) - only if not in parts\n    if (dbMsg.content.reasoning && !hasReasoningInParts) {\n      parts.push({\n        type: 'reasoning',\n        text: dbMsg.content.reasoning,\n      });\n    }\n\n    // 4. Handle files (experimental_attachments) - only if not in parts\n    const attachmentUrls = new Set<string>();\n    if (dbMsg.content.experimental_attachments && !hasFileInParts) {\n      for (const attachment of dbMsg.content.experimental_attachments) {\n        attachmentUrls.add(attachment.url);\n        parts.push({\n          type: 'file',\n          url: attachment.url,\n          mediaType: attachment.contentType || 'unknown',\n        });\n      }\n    }\n\n    // 5. Handle parts directly (if present in V2)\n    let hasNonToolReasoningParts = false;\n    if (dbMsg.content.parts) {\n      for (const part of dbMsg.content.parts) {\n        // Handle tool-invocation parts\n        if (part.type === 'tool-invocation' && part.toolInvocation) {\n          const inv = part.toolInvocation;\n\n          if (inv.state === 'result') {\n            parts.push({\n              type: `tool-${inv.toolName}`,\n              toolCallId: inv.toolCallId,\n              input: getDisplayTransform(part.providerMetadata, 'input-available', inv.args, transformToolPayloads),\n              output: getDisplayTransform(\n                part.providerMetadata,\n                'output-available',\n                getDisplayTransform(part.providerMetadata, 'error', inv.result, transformToolPayloads),\n                transformToolPayloads,\n              ),\n              state: 'output-available',\n              callProviderMetadata: mergeMastraCreatedAt(part.providerMetadata, part.createdAt),\n              providerExecuted: (part as { providerExecuted?: boolean }).providerExecuted,\n            } satisfies AIV5Type.ToolUIPart);\n          } else if (inv.state === 'output-error') {\n            parts.push({\n              type: `tool-${inv.toolName}`,\n              toolCallId: inv.toolCallId,\n              input: getDisplayTransform(part.providerMetadata, 'input-available', inv.args, transformToolPayloads),\n              errorText: getDisplayTransform(\n                part.providerMetadata,\n                'error',\n                inv.errorText || '',\n                transformToolPayloads,\n              ) as string,\n              state: 'output-error',\n              callProviderMetadata: mergeMastraCreatedAt(part.providerMetadata, part.createdAt),\n              providerExecuted: (part as { providerExecuted?: boolean }).providerExecuted,\n            } satisfies AIV5Type.ToolUIPart);\n          } else {\n            parts.push({\n              type: `tool-${inv.toolName}`,\n              toolCallId: inv.toolCallId,\n              input: getDisplayTransform(part.providerMetadata, 'input-available', inv.args, transformToolPayloads),\n              state: 'input-available',\n              callProviderMetadata: mergeMastraCreatedAt(part.providerMetadata, part.createdAt),\n              providerExecuted: (part as { providerExecuted?: boolean }).providerExecuted,\n            } satisfies AIV5Type.ToolUIPart);\n          }\n          continue;\n        }\n\n        // Handle reasoning parts\n        if (part.type === 'reasoning') {\n          const text =\n            part.reasoning ||\n            (part.details?.reduce((p: string, c) => {\n              if (c.type === `text` && c.text) return p + c.text;\n              return p;\n            }, '') ??\n              '');\n          if (text || part.details?.length) {\n            const v5UIPart: AIV5Type.ReasoningUIPart = {\n              type: 'reasoning' as const,\n              text: text || '',\n              state: 'done' as const,\n            };\n            v5UIPart.providerMetadata = mergeMastraCreatedAt(part.providerMetadata, part.createdAt);\n            parts.push(v5UIPart);\n          }\n          continue;\n        }\n\n        // Skip tool-invocation parts without toolInvocation object and other tool- parts\n        if (part.type === 'tool-invocation' || part.type.startsWith('tool-')) {\n          continue;\n        }\n\n        // Convert file parts from V2 format (data) to AIV5 format (url)\n        if (part.type === 'file') {\n          // Skip file parts that came from experimental_attachments to avoid duplicates\n          if (typeof part.data === 'string' && attachmentUrls.has(part.data)) {\n            continue;\n          }\n\n          const categorized =\n            typeof part.data === 'string'\n              ? categorizeFileData(part.data, part.mimeType)\n              : { type: 'raw' as const, mimeType: part.mimeType, data: part.data };\n\n          if (categorized.type === 'url' && typeof part.data === 'string') {\n            const v5UIPart: AIV5Type.FileUIPart = {\n              type: 'file' as const,\n              url: part.data,\n              mediaType: categorized.mimeType || 'image/png',\n            };\n            v5UIPart.providerMetadata = mergeMastraCreatedAt(part.providerMetadata, part.createdAt);\n            parts.push(v5UIPart);\n          } else {\n            let filePartData: string;\n            let extractedMimeType = part.mimeType;\n\n            if (typeof part.data === 'string') {\n              const parsed = parseDataUri(part.data);\n\n              if (parsed.isDataUri) {\n                filePartData = parsed.base64Content;\n                if (parsed.mimeType) {\n                  extractedMimeType = extractedMimeType || parsed.mimeType;\n                }\n              } else {\n                filePartData = part.data;\n              }\n            } else {\n              filePartData = part.data;\n            }\n\n            const finalMimeType = extractedMimeType || 'image/png';\n\n            let dataUri: string;\n            if (typeof filePartData === 'string' && filePartData.startsWith('data:')) {\n              dataUri = filePartData;\n            } else {\n              dataUri = createDataUri(filePartData, finalMimeType);\n            }\n\n            const v5UIPart: AIV5Type.FileUIPart = {\n              type: 'file' as const,\n              url: dataUri,\n              mediaType: finalMimeType,\n            };\n            v5UIPart.providerMetadata = mergeMastraCreatedAt(part.providerMetadata, part.createdAt);\n            parts.push(v5UIPart);\n          }\n        } else if (part.type === 'source') {\n          const v5UIPart: AIV5Type.SourceUrlUIPart = {\n            type: 'source-url' as const,\n            url: part.source.url,\n            sourceId: part.source.id,\n            title: part.source.title,\n          };\n          v5UIPart.providerMetadata = mergeMastraCreatedAt(part.providerMetadata, part.createdAt);\n\n          parts.push(v5UIPart);\n        } else if (part.type === 'source-document') {\n          continue;\n        } else if (part.type === 'text') {\n          const v5UIPart: AIV5Type.TextUIPart = {\n            type: 'text' as const,\n            text: part.text,\n          };\n          v5UIPart.providerMetadata = mergeMastraCreatedAt(part.providerMetadata, part.createdAt);\n          parts.push(v5UIPart);\n          hasNonToolReasoningParts = true;\n        } else if (part.type === 'data-tool-call-suspended' || part.type === 'data-tool-call-approval') {\n          parts.push({\n            ...part,\n            data: transformToolStateDataForDisplay(\n              part.data,\n              part.type === 'data-tool-call-suspended' ? 'suspend' : 'approval',\n              transformToolPayloads,\n            ),\n          });\n        } else {\n          // Other parts (step-start, etc.) can be pushed as-is\n          parts.push(part);\n          hasNonToolReasoningParts = true;\n        }\n      }\n    }\n\n    // 6. Handle text content (fallback if no parts)\n    if (dbMsg.content.content && !hasNonToolReasoningParts) {\n      parts.push({ type: 'text', text: dbMsg.content.content });\n    }\n\n    const existingToolStateDataPartIds = new Set(\n      parts\n        .filter(\n          (part): part is AIV5Type.DataUIPart<AIV5.UIDataTypes> =>\n            part.type === 'data-tool-call-suspended' || part.type === 'data-tool-call-approval',\n        )\n        .map(part => {\n          const data = part.data as Record<string, unknown> | undefined;\n          return typeof data?.toolCallId === 'string' ? data.toolCallId : undefined;\n        })\n        .filter((toolCallId): toolCallId is string => typeof toolCallId === 'string'),\n    );\n\n    const insertToolStateDataPart = (toolCallId: string, toolStateDataPart: AIV5Type.DataUIPart<AIV5.UIDataTypes>) => {\n      const toolPartIndex = parts.findIndex(\n        part => part.type.startsWith('tool-') && (part as { toolCallId?: unknown }).toolCallId === toolCallId,\n      );\n\n      if (toolPartIndex === -1) {\n        parts.push(toolStateDataPart);\n        return;\n      }\n\n      parts.splice(toolPartIndex + 1, 0, toolStateDataPart);\n    };\n\n    const suspendedTools = metadata.suspendedTools;\n    if (suspendedTools && typeof suspendedTools === 'object') {\n      for (const suspendedTool of Object.values(suspendedTools)) {\n        if (!suspendedTool || typeof suspendedTool !== 'object') {\n          continue;\n        }\n\n        const toolCallId = 'toolCallId' in suspendedTool ? suspendedTool.toolCallId : undefined;\n        if (typeof toolCallId !== 'string' || existingToolStateDataPartIds.has(toolCallId)) {\n          continue;\n        }\n\n        insertToolStateDataPart(toolCallId, {\n          type: 'data-tool-call-suspended',\n          data: transformToolStateDataForDisplay(suspendedTool, 'suspend', transformToolPayloads),\n        } as AIV5Type.DataUIPart<AIV5.UIDataTypes>);\n        existingToolStateDataPartIds.add(toolCallId);\n      }\n    }\n\n    const pendingToolApprovals = metadata.pendingToolApprovals;\n    if (pendingToolApprovals && typeof pendingToolApprovals === 'object') {\n      for (const pendingToolApproval of Object.values(pendingToolApprovals)) {\n        if (!pendingToolApproval || typeof pendingToolApproval !== 'object') {\n          continue;\n        }\n\n        const toolCallId = 'toolCallId' in pendingToolApproval ? pendingToolApproval.toolCallId : undefined;\n        if (typeof toolCallId !== 'string' || existingToolStateDataPartIds.has(toolCallId)) {\n          continue;\n        }\n\n        insertToolStateDataPart(toolCallId, {\n          type: 'data-tool-call-approval',\n          data: transformToolStateDataForDisplay(pendingToolApproval, 'approval', transformToolPayloads),\n        } as AIV5Type.DataUIPart<AIV5.UIDataTypes>);\n        existingToolStateDataPartIds.add(toolCallId);\n      }\n    }\n\n    return {\n      id: dbMsg.id,\n      role: dbMsg.role === 'signal' ? (isUserMessageSignal ? 'user' : 'system') : dbMsg.role,\n      metadata,\n      parts,\n    };\n  }\n\n  /**\n   * Direct conversion from AIV5 UIMessage to MastraDBMessage\n   */\n  static fromUIMessage(uiMsg: AIV5Type.UIMessage): MastraDBMessage {\n    const { parts, metadata: rawMetadata } = uiMsg;\n    const metadata = (rawMetadata || {}) as Record<string, unknown>;\n\n    // Extract Mastra-specific metadata\n    const createdAtValue = metadata.createdAt;\n    const createdAt = createdAtValue\n      ? typeof createdAtValue === 'string'\n        ? new Date(createdAtValue)\n        : createdAtValue instanceof Date\n          ? createdAtValue\n          : new Date()\n      : new Date();\n    const threadId = metadata.threadId as string | undefined;\n    const resourceId = metadata.resourceId as string | undefined;\n\n    // Remove Mastra-specific metadata from the metadata object\n    const cleanMetadata = { ...metadata };\n    delete cleanMetadata.createdAt;\n    delete cleanMetadata.threadId;\n    delete cleanMetadata.resourceId;\n\n    // Process parts to build V2 content\n    const toolInvocationParts = parts.filter(p => AIV5.isToolUIPart(p));\n    const reasoningParts = parts.filter(p => p.type === 'reasoning');\n    const fileParts = parts.filter(p => p.type === 'file');\n    const textParts = parts.filter(p => p.type === 'text');\n\n    // Build tool invocations array\n    let toolInvocations: MastraDBMessage['content']['toolInvocations'] = undefined;\n    if (toolInvocationParts.length > 0) {\n      toolInvocations = toolInvocationParts.map(p => {\n        const toolName = getToolName(p);\n        if (p.state === 'output-available') {\n          return {\n            args: p.input,\n            result:\n              typeof p.output === 'object' && p.output && 'value' in p.output\n                ? (p.output as { value: unknown }).value\n                : p.output,\n            toolCallId: p.toolCallId,\n            toolName,\n            state: 'result',\n          } satisfies NonNullable<MastraDBMessage['content']['toolInvocations']>[0];\n        }\n        return {\n          args: p.input,\n          toolCallId: p.toolCallId,\n          toolName,\n          state: 'call',\n        } satisfies NonNullable<MastraDBMessage['content']['toolInvocations']>[0];\n      });\n    }\n\n    // Build reasoning string (AIV4 reasoning is a string, not an array)\n    let reasoning: MastraDBMessage['content']['reasoning'] = undefined;\n    if (reasoningParts.length > 0) {\n      reasoning = reasoningParts.map(p => p.text).join('\\n');\n    }\n\n    // Build experimental_attachments from file parts\n    let experimental_attachments: MastraDBMessage['content']['experimental_attachments'] = undefined;\n    if (fileParts.length > 0) {\n      experimental_attachments = fileParts.map(p => ({\n        url: p.url || '',\n        contentType: p.mediaType,\n      }));\n    }\n\n    // Build content from text parts (AIV4 content is a string)\n    let content: MastraDBMessage['content']['content'] = undefined;\n    if (textParts.length > 0) {\n      content = textParts.map(p => p.text).join('');\n    }\n    // Build V2-compatible parts array\n    const v2Parts = parts\n      .map(p => {\n        // Convert AIV5 UI parts to V2 parts\n        if (AIV5.isToolUIPart(p)) {\n          const toolName = getToolName(p);\n          const callProviderMetadata = 'callProviderMetadata' in p ? p.callProviderMetadata : undefined;\n          if (p.state === 'output-available') {\n            return {\n              type: 'tool-invocation' as const,\n              toolInvocation: {\n                toolCallId: p.toolCallId,\n                toolName,\n                args: p.input,\n                result:\n                  typeof p.output === 'object' && p.output && 'value' in p.output\n                    ? (p.output as { value: unknown }).value\n                    : p.output,\n                state: 'result' as const,\n              },\n              providerMetadata: callProviderMetadata,\n              createdAt: getMastraCreatedAt(callProviderMetadata),\n            } satisfies MastraToolInvocationPart;\n          }\n          return {\n            type: 'tool-invocation' as const,\n            toolInvocation: {\n              toolCallId: p.toolCallId,\n              toolName,\n              args: p.input,\n              state: 'call' as const,\n            },\n            providerMetadata: callProviderMetadata,\n            createdAt: getMastraCreatedAt(callProviderMetadata),\n          } satisfies MastraToolInvocationPart;\n        }\n\n        if (p.type === 'reasoning') {\n          return {\n            type: 'reasoning' as const,\n            reasoning: '',\n            details: [\n              {\n                type: 'text' as const,\n                text: p.text,\n              },\n            ],\n            providerMetadata: p.providerMetadata,\n            createdAt: getMastraCreatedAt(p.providerMetadata),\n          };\n        }\n\n        if (p.type === 'file') {\n          return {\n            type: 'file' as const,\n            mimeType: p.mediaType,\n            data: p.url || '',\n            providerMetadata: p.providerMetadata,\n            createdAt: getMastraCreatedAt(p.providerMetadata),\n            ...((p as { filename?: string }).filename ? { filename: (p as { filename?: string }).filename } : {}),\n          };\n        }\n\n        if (p.type === 'source-url') {\n          return {\n            type: 'source' as const,\n            source: {\n              url: p.url,\n              sourceType: 'url',\n              id: p.url,\n              providerMetadata: p.providerMetadata,\n            },\n            providerMetadata: p.providerMetadata,\n            createdAt: getMastraCreatedAt(p.providerMetadata),\n          };\n        }\n\n        if (p.type === 'text') {\n          type V2TextPart = {\n            type: 'text';\n            text: string;\n            providerMetadata?: AIV5Type.ProviderMetadata;\n            createdAt?: number;\n          };\n          return {\n            type: 'text' as const,\n            text: p.text,\n            providerMetadata: p.providerMetadata,\n            createdAt: getMastraCreatedAt(p.providerMetadata),\n          } satisfies V2TextPart;\n        }\n\n        if (p.type === 'step-start') {\n          return p;\n        }\n\n        // Handle data-* parts (custom parts emitted by tools via writer.custom())\n        if (typeof p.type === 'string' && p.type.startsWith('data-')) {\n          return {\n            type: p.type,\n            data: 'data' in p ? (p as any).data : undefined,\n          };\n        }\n\n        return null;\n      })\n      .filter((p): p is NonNullable<typeof p> => p !== null);\n\n    // Filter out empty text parts to prevent Anthropic API errors\n    const filteredV2Parts = filterEmptyTextParts(v2Parts as MastraMessagePart[]);\n\n    return {\n      id: uiMsg.id,\n      role: uiMsg.role,\n      createdAt,\n      threadId,\n      resourceId,\n      content: {\n        format: 2,\n        parts: filteredV2Parts as MastraMessageContentV2['parts'],\n        toolInvocations,\n        reasoning,\n        experimental_attachments,\n        content,\n        metadata: Object.keys(cleanMetadata).length > 0 ? cleanMetadata : undefined,\n      },\n    };\n  }\n\n  /**\n   * Convert image or file to data URI or URL for V2 file part\n   */\n  private static getDataStringFromAIV5DataPart(part: AIV5Type.ImagePart | AIV5Type.FilePart): string {\n    let mimeType: string;\n    let data: AIV5.FilePart['data'] | AIV5.ImagePart['image'];\n    if ('data' in part) {\n      mimeType = part.mediaType || 'application/octet-stream';\n      data = part.data;\n    } else if ('image' in part) {\n      mimeType = part.mediaType || 'image/jpeg';\n      data = part.image;\n    } else if ('url' in part && typeof (part as any).url === 'string') {\n      return (part as any).url;\n    } else {\n      throw new MastraError({\n        id: 'MASTRA_AIV5_DATA_PART_INVALID',\n        domain: ErrorDomain.AGENT,\n        category: ErrorCategory.USER,\n        text: 'Invalid AIV5 data part in getDataStringFromAIV5DataPart',\n        details: {\n          part,\n        },\n      });\n    }\n\n    if (data instanceof URL) {\n      return data.toString();\n    } else {\n      if (data instanceof Buffer) {\n        const base64 = data.toString('base64');\n        return `data:${mimeType};base64,${base64}`;\n      } else if (typeof data === 'string') {\n        return data.startsWith('data:') || data.startsWith('http') ? data : `data:${mimeType};base64,${data}`;\n      } else if (data instanceof Uint8Array) {\n        const base64 = Buffer.from(data).toString('base64');\n        return `data:${mimeType};base64,${base64}`;\n      } else if (data instanceof ArrayBuffer) {\n        const base64 = Buffer.from(data).toString('base64');\n        return `data:${mimeType};base64,${base64}`;\n      } else {\n        return '';\n      }\n    }\n  }\n\n  /**\n   * Direct conversion from AIV5 ModelMessage to MastraDBMessage\n   */\n  static fromModelMessage(modelMsg: AIV5Type.ModelMessage, _messageSource?: MessageSource): MastraDBMessage {\n    const content = Array.isArray(modelMsg.content)\n      ? modelMsg.content\n      : [{ type: 'text', text: modelMsg.content } satisfies AIV5.TextPart];\n\n    const mastraDBParts: MastraMessageContentV2['parts'] = [];\n    const toolInvocations: NonNullable<MastraDBMessage['content']['toolInvocations']> = [];\n    const reasoningParts: string[] = [];\n    const experimental_attachments: NonNullable<MastraDBMessage['content']['experimental_attachments']> = [];\n\n    for (const part of content) {\n      if (part.type === 'text') {\n        const textPart: MastraDBMessage['content']['parts'][number] = {\n          type: 'text' as const,\n          text: part.text,\n        };\n        if (part.providerOptions) {\n          textPart.providerMetadata = part.providerOptions;\n          textPart.createdAt = getMastraCreatedAt(part.providerOptions);\n        }\n        mastraDBParts.push(textPart);\n      } else if (part.type === 'tool-call') {\n        const toolCallPart = part as AIV5Type.ToolCallPart;\n        const toolInvocationPart: MastraDBMessage['content']['parts'][number] = {\n          type: 'tool-invocation' as const,\n          toolInvocation: {\n            toolCallId: toolCallPart.toolCallId,\n            toolName: sanitizeToolName(toolCallPart.toolName),\n            args: toolCallPart.input,\n            state: 'call',\n          },\n        };\n        if (part.providerOptions) {\n          toolInvocationPart.providerMetadata = part.providerOptions;\n          toolInvocationPart.createdAt = getMastraCreatedAt(part.providerOptions);\n        }\n        mastraDBParts.push(toolInvocationPart);\n        toolInvocations.push({\n          toolCallId: toolCallPart.toolCallId,\n          toolName: sanitizeToolName(toolCallPart.toolName),\n          args: toolCallPart.input,\n          state: 'call',\n        });\n      } else if (part.type === 'tool-result') {\n        const toolResultPart = part;\n        const matchingCall = toolInvocations.find(inv => inv.toolCallId === toolResultPart.toolCallId);\n\n        const matchingV2Part = mastraDBParts.find(\n          (p): p is Extract<MastraDBMessage['content']['parts'][number], { type: 'tool-invocation' }> =>\n            p.type === 'tool-invocation' &&\n            'toolInvocation' in p &&\n            p.toolInvocation.toolCallId === toolResultPart.toolCallId,\n        );\n\n        const updateMatchingCallInvocationResult = (toolResultPart: AIV5Type.ToolResultPart, matchingCall: any) => {\n          matchingCall.state = 'result';\n          matchingCall.result =\n            typeof toolResultPart.output === 'object' && toolResultPart.output && 'value' in toolResultPart.output\n              ? toolResultPart.output.value\n              : toolResultPart.output;\n        };\n\n        if (matchingCall) {\n          updateMatchingCallInvocationResult(toolResultPart, matchingCall);\n        } else {\n          const call: any = {\n            state: 'call',\n            toolCallId: toolResultPart.toolCallId,\n            toolName: sanitizeToolName(toolResultPart.toolName),\n            args: {},\n          };\n          updateMatchingCallInvocationResult(toolResultPart, call);\n          toolInvocations.push(call);\n        }\n\n        if (matchingV2Part && matchingV2Part.type === 'tool-invocation') {\n          updateMatchingCallInvocationResult(toolResultPart, matchingV2Part.toolInvocation);\n          if (toolResultPart.providerOptions) {\n            matchingV2Part.providerMetadata = toolResultPart.providerOptions;\n            matchingV2Part.createdAt = getMastraCreatedAt(toolResultPart.providerOptions) ?? matchingV2Part.createdAt;\n          }\n        } else {\n          const toolInvocationPart: MastraDBMessage['content']['parts'][number] = {\n            type: 'tool-invocation' as const,\n            toolInvocation: {\n              toolCallId: toolResultPart.toolCallId,\n              toolName: sanitizeToolName(toolResultPart.toolName),\n              args: {},\n              state: 'call',\n            },\n          };\n          updateMatchingCallInvocationResult(toolResultPart, toolInvocationPart.toolInvocation);\n          if (toolResultPart.providerOptions) {\n            toolInvocationPart.providerMetadata = toolResultPart.providerOptions;\n            toolInvocationPart.createdAt = getMastraCreatedAt(toolResultPart.providerOptions);\n          }\n          mastraDBParts.push(toolInvocationPart);\n        }\n      } else if (part.type === 'reasoning') {\n        const v2ReasoningPart: MastraDBMessage['content']['parts'][number] = {\n          type: 'reasoning',\n          reasoning: '',\n          details: [{ type: 'text', text: part.text }],\n        };\n        if (part.providerOptions) {\n          v2ReasoningPart.providerMetadata = part.providerOptions;\n          v2ReasoningPart.createdAt = getMastraCreatedAt(part.providerOptions);\n        }\n        mastraDBParts.push(v2ReasoningPart);\n        reasoningParts.push(part.text);\n      } else if (part.type === 'image') {\n        const imagePart = part;\n        const mimeType = imagePart.mediaType || 'image/jpeg';\n        const imageData = this.getDataStringFromAIV5DataPart(imagePart);\n\n        const imageFilePart: MastraDBMessage['content']['parts'][number] = {\n          type: 'file',\n          data: imageData,\n          mimeType,\n        };\n        if (part.providerOptions) {\n          imageFilePart.providerMetadata = part.providerOptions;\n          imageFilePart.createdAt = getMastraCreatedAt(part.providerOptions);\n        }\n        mastraDBParts.push(imageFilePart);\n        experimental_attachments.push({\n          url: imageData,\n          contentType: mimeType,\n        });\n      } else if (part.type === 'file') {\n        const filePart = part;\n        const mimeType = filePart.mediaType || 'application/octet-stream';\n        const fileData = this.getDataStringFromAIV5DataPart(filePart);\n\n        const v2FilePart: MastraDBMessage['content']['parts'][number] = {\n          type: 'file',\n          data: fileData,\n          mimeType,\n        };\n        if (part.providerOptions) {\n          v2FilePart.providerMetadata = part.providerOptions;\n          v2FilePart.createdAt = getMastraCreatedAt(part.providerOptions);\n        }\n        if ((filePart as { filename?: string }).filename) {\n          (v2FilePart as Record<string, unknown>).filename = (filePart as { filename?: string }).filename;\n        }\n        mastraDBParts.push(v2FilePart);\n        experimental_attachments.push({\n          url: fileData,\n          contentType: mimeType,\n        });\n      }\n    }\n\n    // Filter out empty text parts to prevent Anthropic API errors\n    const filteredMastraDBParts = filterEmptyTextParts(mastraDBParts);\n\n    // Build V2 content string\n    const contentString = filteredMastraDBParts\n      .filter(p => p.type === 'text')\n      .map(p => p.text)\n      .join('\\n');\n\n    // Preserve metadata from the input message if present\n    const metadata: Record<string, unknown> =\n      'metadata' in modelMsg && modelMsg.metadata !== null && modelMsg.metadata !== undefined\n        ? (modelMsg.metadata as Record<string, unknown>)\n        : {};\n\n    // Generate ID from modelMsg if available, otherwise create a new one\n    const id =\n      `id` in modelMsg && typeof modelMsg.id === `string`\n        ? modelMsg.id\n        : `msg-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`;\n\n    const message: MastraDBMessage = {\n      id,\n      role: modelMsg.role === 'tool' ? 'assistant' : modelMsg.role,\n      createdAt: new Date(),\n      content: {\n        format: 2,\n        parts: filteredMastraDBParts,\n        toolInvocations: toolInvocations.length > 0 ? toolInvocations : undefined,\n        reasoning: reasoningParts.length > 0 ? reasoningParts.join('\\n') : undefined,\n        experimental_attachments: experimental_attachments.length > 0 ? experimental_attachments : undefined,\n        content: contentString || undefined,\n        metadata: Object.keys(metadata).length > 0 ? metadata : undefined,\n      },\n    };\n    // Add message-level providerOptions if present\n    if (modelMsg.providerOptions) {\n      message.content.providerMetadata = modelMsg.providerOptions;\n    }\n\n    return message;\n  }\n}\n","import * as AIV5 from '@internal/ai-sdk-v5';\nimport * as AIV6 from '@internal/ai-v6';\n\nimport { getTransformedToolPayload, hasTransformedToolPayload } from '../../../tools/payload-transform';\nimport type {\n  MastraDBMessage,\n  MastraMessagePart,\n  MastraProviderMetadata,\n  MastraToolApproval,\n  MastraToolInvocation,\n  MastraToolInvocationPart,\n} from '../state/types';\nimport type { AIV5Type, AIV6Type, MessageSource } from '../types';\nimport { sanitizeToolName } from '../utils/tool-name';\nimport { AIV5Adapter } from './AIV5Adapter';\n\ntype AIV6AdapterContext = {\n  dbMessages?: MastraDBMessage[];\n};\n\nfunction withOptionalFields<T extends Record<string, unknown>, U extends Record<string, unknown>>(\n  target: T,\n  fields: U,\n): T & Partial<U> {\n  for (const [key, value] of Object.entries(fields)) {\n    if (value !== undefined) {\n      (target as Record<string, unknown>)[key] = value;\n    }\n  }\n  return target as T & Partial<U>;\n}\n\nfunction getDisplayTransform(\n  providerMetadata: unknown,\n  phase: 'input-available' | 'output-available' | 'error',\n  fallback: unknown,\n) {\n  const transform = getTransformedToolPayload(providerMetadata, 'display', phase);\n  return hasTransformedToolPayload(transform) ? transform.transformed : fallback;\n}\n\nfunction getToolNameFromType(type: string): string {\n  return type.startsWith('tool-') ? sanitizeToolName(type.slice('tool-'.length)) : sanitizeToolName(type);\n}\n\nfunction normalizeToolArgs(input: unknown): Record<string, unknown> {\n  return typeof input === 'object' && input !== null && !Array.isArray(input) ? (input as Record<string, unknown>) : {};\n}\n\nfunction normalizeToolResult(output: unknown): unknown {\n  return typeof output === 'object' && output && 'value' in output ? (output as { value: unknown }).value : output;\n}\n\nfunction isV6OnlyToolState(\n  state: string,\n): state is Extract<MastraToolInvocation['state'], 'approval-requested' | 'approval-responded' | 'output-denied'> {\n  return state === 'approval-requested' || state === 'approval-responded' || state === 'output-denied';\n}\n\nfunction toMastraApproval(\n  approval: AIV6Type.UIToolInvocation<AIV6Type.UITool>['approval'],\n): MastraToolApproval | undefined {\n  if (!approval) return undefined;\n\n  return {\n    id: approval.id,\n    approved: 'approved' in approval ? approval.approved : undefined,\n    reason: 'reason' in approval ? approval.reason : undefined,\n  };\n}\n\nfunction toMastraProviderMetadata(\n  providerMetadata: AIV6Type.ProviderMetadata | undefined,\n): MastraProviderMetadata | undefined {\n  return providerMetadata as MastraProviderMetadata | undefined;\n}\n\nfunction getToolNameFromUIPart(part: AIV6Type.ToolUIPart | AIV6Type.DynamicToolUIPart): string {\n  return part.type === 'dynamic-tool' ? sanitizeToolName(part.toolName) : getToolNameFromType(part.type);\n}\n\nfunction createToolInvocationPartFromUIPart(part: AIV6Type.ToolUIPart | AIV6Type.DynamicToolUIPart) {\n  const base = {\n    toolCallId: part.toolCallId,\n    toolName: getToolNameFromUIPart(part),\n    args: normalizeToolArgs(part.input),\n    approval: 'approval' in part ? toMastraApproval(part.approval) : undefined,\n    providerMetadata: 'callProviderMetadata' in part ? toMastraProviderMetadata(part.callProviderMetadata) : undefined,\n    providerExecuted: part.providerExecuted,\n    title: part.title,\n    preliminary: 'preliminary' in part ? part.preliminary : undefined,\n  };\n\n  switch (part.state) {\n    case 'input-streaming':\n      return createToolInvocationPart({\n        ...base,\n        state: 'partial-call',\n      });\n\n    case 'input-available':\n      return createToolInvocationPart({\n        ...base,\n        state: 'call',\n      });\n\n    case 'output-available':\n      return createToolInvocationPart({\n        ...base,\n        state: 'result',\n        result: normalizeToolResult(part.output),\n      });\n\n    case 'output-error':\n      return createToolInvocationPart({\n        ...base,\n        state: 'output-error',\n        errorText: part.errorText,\n        rawInput: 'rawInput' in part ? part.rawInput : undefined,\n      });\n\n    case 'approval-requested':\n    case 'approval-responded':\n    case 'output-denied':\n      return createToolInvocationPart({\n        ...base,\n        state: part.state,\n      });\n  }\n}\n\nfunction normalizeV6PartForV5Bridge(part: AIV6Type.UIMessage['parts'][number]): AIV5Type.UIMessage['parts'][number] {\n  if (part.type === 'dynamic-tool' && !isV6OnlyToolState(part.state)) {\n    return {\n      ...part,\n      type: `tool-${sanitizeToolName(part.toolName)}`,\n    } as unknown as AIV5Type.UIMessage['parts'][number];\n  }\n\n  return part as unknown as AIV5Type.UIMessage['parts'][number];\n}\n\nfunction createToolInvocationPart({\n  toolCallId,\n  toolName,\n  args,\n  state,\n  approval,\n  result,\n  errorText,\n  rawInput,\n  providerMetadata,\n  providerExecuted,\n  title,\n  preliminary,\n}: {\n  toolCallId: string;\n  toolName: string;\n  args: Record<string, unknown>;\n  state: MastraToolInvocation['state'];\n  approval?: MastraToolApproval;\n  result?: unknown;\n  errorText?: string;\n  rawInput?: unknown;\n  providerMetadata?: MastraToolInvocationPart['providerMetadata'];\n  providerExecuted?: boolean;\n  title?: string;\n  preliminary?: boolean;\n}): MastraToolInvocationPart {\n  return withOptionalFields(\n    {\n      type: 'tool-invocation',\n      toolInvocation: withOptionalFields(\n        {\n          toolCallId,\n          toolName,\n          args,\n          state,\n        },\n        {\n          approval,\n          result,\n          errorText,\n          rawInput,\n        },\n      ),\n    } satisfies MastraToolInvocationPart,\n    {\n      providerMetadata,\n      providerExecuted,\n      title,\n      preliminary,\n    },\n  );\n}\n\nfunction findToolInvocationPart(parts: MastraMessagePart[], toolCallId: string): MastraToolInvocationPart | undefined {\n  for (const part of parts) {\n    if (part.type === 'tool-invocation' && part.toolInvocation.toolCallId === toolCallId) {\n      return part;\n    }\n  }\n\n  return undefined;\n}\n\nfunction findApprovalRequest(\n  dbMessages: MastraDBMessage[] | undefined,\n  approvalId: string,\n): MastraToolInvocationPart | undefined {\n  if (!dbMessages) return undefined;\n\n  for (const message of [...dbMessages].reverse()) {\n    for (const part of [...(message.content.parts || [])].reverse()) {\n      if (\n        part.type === 'tool-invocation' &&\n        part.toolInvocation.approval?.id === approvalId &&\n        part.toolInvocation.state === 'approval-requested'\n      ) {\n        return part;\n      }\n    }\n  }\n\n  return undefined;\n}\n\nfunction createLegacyToolInvocations(\n  parts: MastraMessagePart[],\n): MastraDBMessage['content']['toolInvocations'] | undefined {\n  const toolInvocations: NonNullable<MastraDBMessage['content']['toolInvocations']> = [];\n\n  for (const part of parts) {\n    if (part.type !== 'tool-invocation') continue;\n\n    const invocation = part.toolInvocation;\n\n    if (invocation.state === 'result') {\n      toolInvocations.push({\n        args: invocation.args,\n        result: invocation.result,\n        toolCallId: invocation.toolCallId,\n        toolName: invocation.toolName,\n        state: 'result',\n      });\n      continue;\n    }\n\n    if (invocation.state === 'call' || invocation.state === 'partial-call') {\n      toolInvocations.push({\n        args: invocation.args,\n        toolCallId: invocation.toolCallId,\n        toolName: invocation.toolName,\n        state: invocation.state,\n      });\n    }\n  }\n\n  return toolInvocations.length > 0 ? toolInvocations : undefined;\n}\n\n/**\n * AIV6Adapter - Handles conversions between MastraDBMessage and AI SDK v6 formats.\n */\nexport class AIV6Adapter {\n  static toUIMessage(dbMsg: MastraDBMessage): AIV6Type.UIMessage {\n    const v5Message = AIV5Adapter.toUIMessage(dbMsg);\n    const metadata = (v5Message.metadata || {}) as Record<string, unknown>;\n    const parts: AIV6Type.UIMessage['parts'] = [];\n\n    if (dbMsg.role === 'signal' && v5Message.role !== 'user') {\n      return {\n        id: dbMsg.id,\n        role: 'system',\n        metadata: Object.keys(metadata).length > 0 ? metadata : undefined,\n        parts: v5Message.parts.map(part => AIV6Adapter.toUIPartFromV5(part)),\n      };\n    }\n\n    const dbParts = dbMsg.content.parts || [];\n    const hasToolInvocationParts = dbParts.some(part => part.type === 'tool-invocation');\n    const hasReasoningParts = dbParts.some(part => part.type === 'reasoning');\n    const hasFileParts = dbParts.some(part => part.type === 'file');\n    const hasTextParts = dbParts.some(part => part.type === 'text');\n\n    for (const part of dbParts) {\n      parts.push(AIV6Adapter.toUIPart(part));\n    }\n\n    if (!hasToolInvocationParts || !hasReasoningParts || !hasFileParts || !hasTextParts) {\n      for (const part of v5Message.parts) {\n        if (AIV5.isToolUIPart(part)) {\n          if (!hasToolInvocationParts) {\n            parts.push(AIV6Adapter.toUIPartFromV5(part));\n          }\n          continue;\n        }\n\n        if (part.type === 'reasoning') {\n          if (!hasReasoningParts) {\n            parts.push(AIV6Adapter.toUIPartFromV5(part));\n          }\n          continue;\n        }\n\n        if (part.type === 'file') {\n          if (!hasFileParts) {\n            parts.push(AIV6Adapter.toUIPartFromV5(part));\n          }\n          continue;\n        }\n\n        if (part.type === 'text' && !hasTextParts) {\n          parts.push(AIV6Adapter.toUIPartFromV5(part));\n        }\n      }\n    }\n\n    return {\n      id: dbMsg.id,\n      role: dbMsg.role === 'signal' ? v5Message.role : dbMsg.role,\n      metadata: Object.keys(metadata).length > 0 ? metadata : undefined,\n      parts,\n    };\n  }\n\n  static fromUIMessage(uiMsg: AIV6Type.UIMessage): MastraDBMessage {\n    const compatibleParts = uiMsg.parts.filter(part => {\n      if (part.type === 'source-document') return false;\n      if (AIV6.isToolUIPart(part)) return false;\n      return true;\n    });\n\n    const baseDb = AIV5Adapter.fromUIMessage({\n      ...uiMsg,\n      parts: compatibleParts.map(part => normalizeV6PartForV5Bridge(part)) as AIV5Type.UIMessage['parts'],\n    } as AIV5Type.UIMessage);\n\n    const baseParts = baseDb.content.parts || [];\n    const parts: MastraMessagePart[] = [];\n    let basePartIndex = 0;\n\n    for (const part of uiMsg.parts) {\n      if (part.type === 'source-document') {\n        parts.push(\n          withOptionalFields(\n            {\n              type: 'source-document',\n              sourceId: part.sourceId,\n              mediaType: part.mediaType,\n              title: part.title,\n            },\n            {\n              filename: part.filename,\n              providerMetadata: toMastraProviderMetadata(part.providerMetadata),\n            },\n          ) as MastraMessagePart,\n        );\n        continue;\n      }\n\n      if (!AIV6.isToolUIPart(part)) {\n        const basePart = baseParts[basePartIndex++];\n        if (basePart) {\n          parts.push(basePart);\n        }\n        continue;\n      }\n\n      parts.push(createToolInvocationPartFromUIPart(part));\n    }\n\n    return {\n      ...baseDb,\n      content: {\n        ...baseDb.content,\n        parts,\n        toolInvocations: createLegacyToolInvocations(parts) || baseDb.content.toolInvocations,\n      },\n    };\n  }\n\n  static fromModelMessage(\n    modelMsg: AIV6Type.ModelMessage,\n    _messageSource?: MessageSource,\n    context: AIV6AdapterContext = {},\n  ): MastraDBMessage {\n    const content = Array.isArray(modelMsg.content)\n      ? modelMsg.content\n      : [{ type: 'text', text: modelMsg.content } satisfies AIV6Type.TextPart];\n\n    const compatibleContent = content.filter(\n      part => part.type !== 'tool-approval-request' && part.type !== 'tool-approval-response',\n    );\n\n    const baseDb = AIV5Adapter.fromModelMessage(\n      {\n        ...modelMsg,\n        content: compatibleContent as unknown as AIV5Type.ModelMessage['content'],\n      } as AIV5Type.ModelMessage,\n      _messageSource,\n    );\n\n    const parts = [...baseDb.content.parts];\n\n    if (modelMsg.role === 'assistant') {\n      const toolCalls = new Map<\n        string,\n        {\n          toolName: string;\n          args: Record<string, unknown>;\n        }\n      >();\n\n      for (const part of content) {\n        if (part.type === 'tool-call') {\n          toolCalls.set(part.toolCallId, {\n            toolName: sanitizeToolName(part.toolName),\n            args: normalizeToolArgs(part.input),\n          });\n          continue;\n        }\n\n        if (part.type !== 'tool-approval-request') {\n          continue;\n        }\n\n        const call = toolCalls.get(part.toolCallId);\n        const existingPart = findToolInvocationPart(parts, part.toolCallId);\n\n        if (existingPart) {\n          existingPart.toolInvocation.state = 'approval-requested';\n          existingPart.toolInvocation.approval = { id: part.approvalId };\n          continue;\n        }\n\n        parts.push(\n          createToolInvocationPart({\n            toolCallId: part.toolCallId,\n            toolName: call?.toolName || 'unknown',\n            args: call?.args || {},\n            state: 'approval-requested',\n            approval: { id: part.approvalId },\n          }),\n        );\n      }\n    } else if (modelMsg.role === 'tool') {\n      for (const part of content) {\n        if (part.type !== 'tool-approval-response') {\n          continue;\n        }\n\n        const request = findApprovalRequest(context.dbMessages, part.approvalId);\n        if (!request) {\n          continue;\n        }\n\n        parts.push(\n          createToolInvocationPart({\n            toolCallId: request.toolInvocation.toolCallId,\n            toolName: request.toolInvocation.toolName,\n            args: request.toolInvocation.args,\n            state: 'approval-responded',\n            approval: {\n              id: part.approvalId,\n              approved: part.approved,\n              reason: part.reason,\n            },\n            providerMetadata: request.providerMetadata,\n            providerExecuted: request.providerExecuted,\n            title: request.title,\n          }),\n        );\n      }\n    }\n\n    return {\n      ...baseDb,\n      content: {\n        ...baseDb.content,\n        parts,\n      },\n    };\n  }\n\n  private static toUIPart(part: MastraMessagePart): AIV6Type.UIMessage['parts'][number] {\n    if (part.type === 'tool-invocation') {\n      const base = withOptionalFields(\n        {\n          type: `tool-${sanitizeToolName(part.toolInvocation.toolName)}`,\n          toolCallId: part.toolInvocation.toolCallId,\n          providerExecuted: part.providerExecuted,\n        },\n        {\n          callProviderMetadata: part.providerMetadata,\n          title: part.title,\n        },\n      );\n\n      switch (part.toolInvocation.state) {\n        case 'partial-call':\n          return {\n            ...base,\n            state: 'input-streaming',\n            input: getDisplayTransform(part.providerMetadata, 'input-available', part.toolInvocation.args),\n          } as AIV6Type.UIMessage['parts'][number];\n\n        case 'call':\n          return {\n            ...base,\n            state: 'input-available',\n            input: getDisplayTransform(part.providerMetadata, 'input-available', part.toolInvocation.args),\n          } as AIV6Type.UIMessage['parts'][number];\n\n        case 'approval-requested':\n          return {\n            ...base,\n            state: 'approval-requested',\n            input: getDisplayTransform(part.providerMetadata, 'input-available', part.toolInvocation.args),\n            approval: {\n              id: part.toolInvocation.approval?.id || part.toolInvocation.toolCallId,\n            },\n          } as AIV6Type.UIMessage['parts'][number];\n\n        case 'approval-responded':\n          return {\n            ...base,\n            state: 'approval-responded',\n            input: getDisplayTransform(part.providerMetadata, 'input-available', part.toolInvocation.args),\n            approval: {\n              id: part.toolInvocation.approval?.id || part.toolInvocation.toolCallId,\n              approved: part.toolInvocation.approval?.approved ?? false,\n              reason: part.toolInvocation.approval?.reason,\n            },\n          } as AIV6Type.UIMessage['parts'][number];\n\n        case 'output-error':\n          return withOptionalFields(\n            {\n              ...base,\n              state: 'output-error',\n              input: getDisplayTransform(part.providerMetadata, 'input-available', part.toolInvocation.args),\n              errorText: getDisplayTransform(\n                part.providerMetadata,\n                'error',\n                part.toolInvocation.errorText || '',\n              ) as string,\n            },\n            {\n              rawInput: part.toolInvocation.rawInput,\n              approval:\n                part.toolInvocation.approval?.approved === true\n                  ? {\n                      id: part.toolInvocation.approval.id,\n                      approved: true,\n                      reason: part.toolInvocation.approval.reason,\n                    }\n                  : undefined,\n            },\n          ) as AIV6Type.UIMessage['parts'][number];\n\n        case 'output-denied':\n          return {\n            ...base,\n            state: 'output-denied',\n            input: getDisplayTransform(part.providerMetadata, 'input-available', part.toolInvocation.args),\n            approval: {\n              id: part.toolInvocation.approval?.id || part.toolInvocation.toolCallId,\n              approved: false,\n              reason: part.toolInvocation.approval?.reason,\n            },\n          } as AIV6Type.UIMessage['parts'][number];\n\n        case 'result':\n          return withOptionalFields(\n            {\n              ...base,\n              state: 'output-available',\n              input: getDisplayTransform(part.providerMetadata, 'input-available', part.toolInvocation.args),\n              output: getDisplayTransform(\n                part.providerMetadata,\n                'output-available',\n                getDisplayTransform(part.providerMetadata, 'error', part.toolInvocation.result),\n              ),\n            },\n            {\n              preliminary: part.preliminary,\n              approval:\n                part.toolInvocation.approval?.approved === true\n                  ? {\n                      id: part.toolInvocation.approval.id,\n                      approved: true,\n                      reason: part.toolInvocation.approval.reason,\n                    }\n                  : undefined,\n            },\n          ) as AIV6Type.UIMessage['parts'][number];\n\n        default:\n          throw new Error(`Unhandled toolInvocation.state: ${String(part.toolInvocation.state)}`);\n      }\n    }\n\n    if (part.type === 'source-document') {\n      return withOptionalFields(\n        {\n          type: 'source-document',\n          sourceId: part.sourceId,\n          mediaType: part.mediaType,\n          title: part.title,\n        },\n        {\n          filename: part.filename,\n          providerMetadata: part.providerMetadata,\n        },\n      ) as AIV6Type.UIMessage['parts'][number];\n    }\n\n    return AIV6Adapter.toUIPartFromV5(\n      AIV5Adapter.toUIMessage({\n        id: 'tmp',\n        role: 'assistant',\n        createdAt: new Date(),\n        content: {\n          format: 2,\n          parts: [part],\n        },\n      }).parts[0]!,\n    );\n  }\n\n  private static toUIPartFromV5(part: AIV5Type.UIMessage['parts'][number]): AIV6Type.UIMessage['parts'][number] {\n    if (AIV5.isToolUIPart(part)) {\n      const base = {\n        type: part.type,\n        toolCallId: part.toolCallId,\n        providerExecuted: part.providerExecuted,\n      };\n\n      switch (part.state) {\n        case 'input-streaming':\n          return withOptionalFields(\n            {\n              ...base,\n              state: 'input-streaming',\n              input: part.input,\n            },\n            {\n              callProviderMetadata: 'callProviderMetadata' in part ? part.callProviderMetadata : undefined,\n              title: 'title' in part ? part.title : undefined,\n            },\n          ) as AIV6Type.UIMessage['parts'][number];\n\n        case 'input-available':\n          return withOptionalFields(\n            {\n              ...base,\n              state: 'input-available',\n              input: part.input,\n            },\n            {\n              callProviderMetadata: 'callProviderMetadata' in part ? part.callProviderMetadata : undefined,\n              title: 'title' in part ? part.title : undefined,\n            },\n          ) as AIV6Type.UIMessage['parts'][number];\n\n        case 'output-available':\n          return withOptionalFields(\n            {\n              ...base,\n              state: 'output-available',\n              input: part.input,\n              output: part.output,\n            },\n            {\n              callProviderMetadata: 'callProviderMetadata' in part ? part.callProviderMetadata : undefined,\n              preliminary: 'preliminary' in part ? part.preliminary : undefined,\n              title: 'title' in part ? part.title : undefined,\n            },\n          ) as AIV6Type.UIMessage['parts'][number];\n\n        case 'output-error':\n          return withOptionalFields(\n            {\n              ...base,\n              state: 'output-error',\n              input: part.input,\n              errorText: part.errorText,\n            },\n            {\n              rawInput: 'rawInput' in part ? part.rawInput : undefined,\n              callProviderMetadata: 'callProviderMetadata' in part ? part.callProviderMetadata : undefined,\n              title: 'title' in part ? part.title : undefined,\n            },\n          ) as AIV6Type.UIMessage['parts'][number];\n      }\n    }\n\n    switch (part.type) {\n      case 'text':\n        return withOptionalFields(\n          { type: 'text', text: part.text },\n          { providerMetadata: part.providerMetadata },\n        ) as AIV6Type.UIMessage['parts'][number];\n\n      case 'reasoning':\n        return withOptionalFields(\n          {\n            type: 'reasoning',\n            text: part.text,\n            state: part.state,\n          },\n          { providerMetadata: part.providerMetadata },\n        ) as AIV6Type.UIMessage['parts'][number];\n\n      case 'file':\n        return withOptionalFields(\n          {\n            type: 'file',\n            url: part.url,\n            mediaType: part.mediaType,\n          },\n          {\n            filename: 'filename' in part ? part.filename : undefined,\n            providerMetadata: part.providerMetadata,\n          },\n        ) as AIV6Type.UIMessage['parts'][number];\n\n      case 'source-url':\n        return withOptionalFields(\n          {\n            type: 'source-url',\n            sourceId: part.sourceId,\n            url: part.url,\n          },\n          { title: part.title, providerMetadata: part.providerMetadata },\n        ) as AIV6Type.UIMessage['parts'][number];\n\n      case 'step-start':\n        return { type: 'step-start' };\n\n      default:\n        if (typeof part.type === 'string' && part.type.startsWith('data-')) {\n          return {\n            type: part.type,\n            data: 'data' in part ? part.data : undefined,\n          } as AIV6Type.UIMessage['parts'][number];\n        }\n\n        return part as unknown as AIV6Type.UIMessage['parts'][number];\n    }\n  }\n}\n","/**\n * `JSON.stringify` with deterministic key ordering at every level.\n *\n * Required because object key order is preserved by `JSON.stringify`, and we\n * don't want `{ a: 1, b: 2 }` and `{ b: 2, a: 1 }` to hash to different keys.\n *\n * This is critical for cache key generation when comparing messages restored\n * from different storage backends: jsonb columns (e.g. mastra_workflow_snapshot\n * in PostgreSQL) normalize key order, while text columns (mastra_messages)\n * preserve insertion order. Without stable stringification, functionally-equal\n * data-* parts produce different cache keys, causing false dedup misses.\n */\nexport function stableStringify(value: unknown): string {\n  return JSON.stringify(value, (_key, val) => {\n    if (val && typeof val === 'object' && !Array.isArray(val)) {\n      const sorted: Record<string, unknown> = {};\n      for (const k of Object.keys(val as Record<string, unknown>).sort()) {\n        sorted[k] = (val as Record<string, unknown>)[k];\n      }\n      return sorted;\n    }\n    return val;\n  });\n}\n","import type { UIMessage as UIMessageV4 } from '@internal/ai-sdk-v4';\nimport * as AIV5 from '@internal/ai-sdk-v5';\n\nimport { getImageCacheKey } from '../prompt/image-utils';\nimport type { AIV5Type, CoreMessageV4 } from '../types';\nimport { getResponseProviderItemKeys } from '../utils/response-item-metadata';\nimport { stableStringify } from './stable-stringify';\nimport type { MastraMessagePart, UIMessageV4Part } from './types';\n\nfunction appendResponseProviderItemKeys(cacheKey: string, ...providerSources: unknown[]): string {\n  const itemKeys = new Set(\n    providerSources.flatMap(source => getResponseProviderItemKeys(source as Record<string, unknown> | undefined)),\n  );\n\n  for (const itemKey of itemKeys) {\n    cacheKey += `|${itemKey}`;\n  }\n\n  return cacheKey;\n}\n\n/**\n * CacheKeyGenerator - Centralized cache key generation for message equality checks\n *\n * This class provides consistent cache key generation across all message formats,\n * which is critical for:\n * - Deduplication of messages\n * - Detecting when messages have been updated\n * - Comparing messages across different formats\n *\n * Cache key invariants:\n * - Same message content should always produce the same key\n * - Different content should produce different keys\n * - Provider metadata (e.g., OpenAI/Azure OpenAI text, reasoning, and tool itemId) must be included for proper distinction\n */\nexport class CacheKeyGenerator {\n  /**\n   * Generate cache key from AIV4 UIMessage parts\n   */\n  static fromAIV4Parts(parts: UIMessageV4['parts']): string {\n    let key = '';\n    for (const part of parts) {\n      key += part.type;\n      key += CacheKeyGenerator.fromAIV4Part(part);\n    }\n    return key;\n  }\n\n  /**\n   * Generate cache key from a single AIV4 UIMessage part\n   */\n  static fromAIV4Part(part: UIMessageV4['parts'][number]): string {\n    let cacheKey = '';\n    if (part.type === 'text') {\n      cacheKey += part.text;\n      cacheKey = appendResponseProviderItemKeys(cacheKey, (part as any).providerMetadata);\n    }\n    if (part.type === 'tool-invocation') {\n      if (!part.toolInvocation) return cacheKey;\n      cacheKey += part.toolInvocation.toolCallId;\n      cacheKey += part.toolInvocation.state;\n    }\n    if (part.type === 'reasoning') {\n      cacheKey += part.reasoning;\n      cacheKey += part.details.reduce((prev, current) => {\n        if (current.type === 'text') {\n          return prev + current.text.length + (current.signature?.length || 0);\n        }\n        return prev;\n      }, 0);\n\n      // OpenAI-compatible Responses providers send reasoning items (rs_...) inside\n      // provider metadata itemId fields such as openai.itemId or azure.itemId.\n      // When the reasoning text is empty, the default cache key logic produces \"reasoning0\"\n      // for *all* reasoning parts. This makes distinct rs_ entries appear identical, so the\n      // message-merging logic drops the latest reasoning item. The result is that subsequent\n      // OpenAI-compatible calls fail with:\n      //\n      //   \"Item 'fc_...' was provided without its required 'reasoning' item\"\n      //\n      // To fix this, we incorporate the provider itemId into the cache key so each\n      // rs_ entry is treated as distinct.\n      //\n      // Note: We cast `part` to `any` here because the AI SDK's ReasoningUIPart V4 type does\n      // NOT declare `providerMetadata` (even though Mastra attaches it at runtime). This\n      // access is safe in JavaScript, but TypeScript cannot type it without augmentation,\n      // so we intentionally narrow to `any` only for this metadata lookup.\n\n      const partAny = part as any;\n\n      if (partAny && Object.hasOwn(partAny, 'providerMetadata')) {\n        cacheKey = appendResponseProviderItemKeys(cacheKey, partAny.providerMetadata);\n      }\n    }\n    if (part.type === 'file') {\n      cacheKey += part.data;\n      cacheKey += part.mimeType;\n    }\n\n    return cacheKey;\n  }\n\n  /**\n   * Generate cache key from MastraDB message parts\n   */\n  static fromDBParts(parts: MastraMessagePart[]): string {\n    let key = '';\n    for (const part of parts) {\n      key += part.type;\n      if (part.type.startsWith('data-')) {\n        // Stringify data for proper cache key comparison since data can be any type\n        const data = (part as AIV5Type.DataUIPart<AIV5.UIDataTypes>).data;\n        key += stableStringify(data); // order-independent: jsonb vs text storage may reorder keys\n      } else {\n        // Cast to UIMessageV4Part since we've already handled data-* parts above\n        key += CacheKeyGenerator.fromAIV4Part(part as UIMessageV4Part);\n      }\n    }\n    return key;\n  }\n\n  /**\n   * Generate cache key from AIV4 CoreMessage content\n   */\n  static fromAIV4CoreMessageContent(content: CoreMessageV4['content']): string {\n    if (typeof content === 'string') return content;\n    let key = '';\n    for (const part of content) {\n      key += part.type;\n      if (part.type === 'text') {\n        key += part.text.length;\n        const partAny = part as any;\n        key = appendResponseProviderItemKeys(key, partAny.providerMetadata, partAny.providerOptions);\n      }\n      if (part.type === 'reasoning') {\n        key += part.text.length;\n        const partAny = part as any;\n        key = appendResponseProviderItemKeys(key, partAny.providerMetadata, partAny.providerOptions);\n      }\n      if (part.type === 'tool-call') {\n        key += part.toolCallId;\n        key += part.toolName;\n      }\n      if (part.type === 'tool-result') {\n        key += part.toolCallId;\n        key += part.toolName;\n      }\n      if (part.type === 'file') {\n        key += part.filename;\n        key += part.mimeType;\n      }\n      if (part.type === 'image') {\n        key += getImageCacheKey(part.image);\n        key += part.mimeType;\n      }\n      if (part.type === 'redacted-reasoning') {\n        key += part.data.length;\n      }\n    }\n    return key;\n  }\n\n  /**\n   * Generate cache key from AIV5 UIMessage parts\n   */\n  static fromAIV5Parts(parts: AIV5Type.UIMessage['parts']): string {\n    let key = '';\n    for (const part of parts) {\n      key += part.type;\n      if (part.type === 'text') {\n        key += part.text;\n        key = appendResponseProviderItemKeys(key, (part as any).providerMetadata);\n      }\n      if (AIV5.isToolUIPart(part) || part.type === 'dynamic-tool') {\n        key += part.toolCallId;\n        key += part.state;\n      }\n      if (part.type === 'reasoning') {\n        key += part.text;\n        key = appendResponseProviderItemKeys(key, (part as any).providerMetadata);\n      }\n      if (part.type === 'file') {\n        key += part.url.length;\n        key += part.mediaType;\n        key += part.filename || '';\n      }\n    }\n    return key;\n  }\n\n  /**\n   * Generate cache key from AIV5 ModelMessage content\n   */\n  static fromAIV5ModelMessageContent(content: AIV5Type.ModelMessage['content']): string {\n    if (typeof content === 'string') return content;\n    let key = '';\n    for (const part of content) {\n      key += part.type;\n      if (part.type === 'text') {\n        key += part.text.length;\n        key = appendResponseProviderItemKeys(key, (part as any).providerOptions);\n      }\n      if (part.type === 'reasoning') {\n        key += part.text.length;\n        key = appendResponseProviderItemKeys(key, (part as any).providerOptions);\n      }\n      if (part.type === 'tool-call') {\n        key += part.toolCallId;\n        key += part.toolName;\n      }\n      if (part.type === 'tool-result') {\n        key += part.toolCallId;\n        key += part.toolName;\n      }\n      if (part.type === 'file') {\n        key += part.filename;\n        key += part.mediaType;\n      }\n      if (part.type === 'image') {\n        key += getImageCacheKey(part.image);\n        key += part.mediaType;\n      }\n    }\n    return key;\n  }\n}\n","import type { LanguageModelV2Prompt } from '@ai-sdk/provider-v5';\nimport type { LanguageModelV1Prompt, CoreMessage as CoreMessageV4 } from '@internal/ai-sdk-v4';\n\nimport { convertDataContentToBase64String } from '../prompt/data-content';\nimport { categorizeFileData } from '../prompt/image-utils';\nimport type { AIV5Type } from '../types';\nimport { sanitizeToolName } from '../utils/tool-name';\n\ntype AIV5LanguageModelV2Message = LanguageModelV2Prompt[0];\ntype LanguageModelV1Message = LanguageModelV1Prompt[0];\n\n/**\n * Convert an AI SDK V4 CoreMessage to a V1 LanguageModel prompt message.\n * Used for creating LLM prompt messages without AI SDK streamText/generateText.\n */\nexport function aiV4CoreMessageToV1PromptMessage(coreMessage: CoreMessageV4): LanguageModelV1Message {\n  if (coreMessage.role === `system`) {\n    return coreMessage;\n  }\n\n  if (typeof coreMessage.content === `string` && (coreMessage.role === `assistant` || coreMessage.role === `user`)) {\n    return {\n      ...coreMessage,\n      content: [{ type: 'text', text: coreMessage.content }],\n    };\n  }\n\n  if (typeof coreMessage.content === `string`) {\n    throw new Error(\n      `Saw text content for input CoreMessage, but the role is ${coreMessage.role}. This is only allowed for \"system\", \"assistant\", and \"user\" roles.`,\n    );\n  }\n\n  const roleContent: {\n    user: Exclude<Extract<LanguageModelV1Message, { role: 'user' }>['content'], string>;\n    assistant: Exclude<Extract<LanguageModelV1Message, { role: 'assistant' }>['content'], string>;\n    tool: Exclude<Extract<LanguageModelV1Message, { role: 'tool' }>['content'], string>;\n  } = {\n    user: [],\n    assistant: [],\n    tool: [],\n  };\n\n  const role = coreMessage.role;\n\n  for (const part of coreMessage.content) {\n    const incompatibleMessage = `Saw incompatible message content part type ${part.type} for message role ${role}`;\n\n    switch (part.type) {\n      case 'text': {\n        if (role === `tool`) {\n          throw new Error(incompatibleMessage);\n        }\n        roleContent[role].push(part);\n        break;\n      }\n\n      case 'redacted-reasoning':\n      case 'reasoning': {\n        if (role !== `assistant`) {\n          throw new Error(incompatibleMessage);\n        }\n        roleContent[role].push(part);\n        break;\n      }\n\n      case 'tool-call': {\n        if (role === `tool` || role === `user`) {\n          throw new Error(incompatibleMessage);\n        }\n        roleContent[role].push({\n          ...part,\n          toolName: sanitizeToolName(part.toolName),\n        });\n        break;\n      }\n\n      case 'tool-result': {\n        if (role === `assistant` || role === `user`) {\n          throw new Error(incompatibleMessage);\n        }\n        roleContent[role].push({\n          ...part,\n          toolName: sanitizeToolName(part.toolName),\n        });\n        break;\n      }\n\n      case 'image': {\n        if (role === `tool` || role === `assistant`) {\n          throw new Error(incompatibleMessage);\n        }\n\n        let processedImage: URL | Uint8Array;\n\n        if (part.image instanceof URL || part.image instanceof Uint8Array) {\n          processedImage = part.image;\n        } else if (Buffer.isBuffer(part.image) || part.image instanceof ArrayBuffer) {\n          processedImage = new Uint8Array(part.image);\n        } else {\n          // part.image is a string - could be a URL, data URI, or raw base64\n          const categorized = categorizeFileData(part.image, part.mimeType);\n\n          if (categorized.type === 'raw') {\n            // Raw base64 — keep as Uint8Array so providers receive raw bytes\n            // and don't double-wrap in a data URI (e.g. Gemini inline_data.data)\n            processedImage = new Uint8Array(Buffer.from(part.image, 'base64'));\n          } else {\n            processedImage = new URL(part.image);\n          }\n        }\n\n        roleContent[role].push({\n          ...part,\n          image: processedImage,\n        });\n        break;\n      }\n\n      case 'file': {\n        if (role === `tool`) {\n          throw new Error(incompatibleMessage);\n        }\n        roleContent[role].push({\n          ...part,\n          data:\n            part.data instanceof URL\n              ? part.data\n              : typeof part.data === 'string'\n                ? part.data\n                : convertDataContentToBase64String(part.data),\n        });\n        break;\n      }\n    }\n  }\n\n  if (role === `tool`) {\n    return {\n      ...coreMessage,\n      content: roleContent[role],\n    };\n  }\n  if (role === `user`) {\n    return {\n      ...coreMessage,\n      content: roleContent[role],\n    };\n  }\n  if (role === `assistant`) {\n    return {\n      ...coreMessage,\n      content: roleContent[role],\n    };\n  }\n\n  throw new Error(\n    `Encountered unknown role ${role} when converting V4 CoreMessage -> V4 LanguageModelV1Prompt, input message: ${JSON.stringify(coreMessage, null, 2)}`,\n  );\n}\n\n/**\n * Convert an AI SDK V5 ModelMessage to a V2 LanguageModel prompt message.\n * Used for creating LLM prompt messages without AI SDK streamText/generateText.\n */\nexport function aiV5ModelMessageToV2PromptMessage(modelMessage: AIV5Type.ModelMessage): AIV5LanguageModelV2Message {\n  if (modelMessage.role === `system`) {\n    return modelMessage;\n  }\n\n  if (typeof modelMessage.content === `string` && (modelMessage.role === `assistant` || modelMessage.role === `user`)) {\n    return {\n      role: modelMessage.role,\n      content: [{ type: 'text', text: modelMessage.content }],\n      providerOptions: modelMessage.providerOptions,\n    };\n  }\n\n  if (typeof modelMessage.content === `string`) {\n    throw new Error(\n      `Saw text content for input ModelMessage, but the role is ${modelMessage.role}. This is only allowed for \"system\", \"assistant\", and \"user\" roles.`,\n    );\n  }\n\n  const roleContent: {\n    user: Extract<AIV5LanguageModelV2Message, { role: 'user' }>['content'];\n    assistant: Extract<AIV5LanguageModelV2Message, { role: 'assistant' }>['content'];\n    tool: Extract<AIV5LanguageModelV2Message, { role: 'tool' }>['content'];\n  } = {\n    user: [],\n    assistant: [],\n    tool: [],\n  };\n\n  const role = modelMessage.role;\n\n  for (const part of modelMessage.content) {\n    const incompatibleMessage = `Saw incompatible message content part type ${part.type} for message role ${role}`;\n\n    switch (part.type) {\n      case 'text': {\n        if (role === `tool`) {\n          throw new Error(incompatibleMessage);\n        }\n        roleContent[role].push(part);\n        break;\n      }\n\n      case 'reasoning': {\n        if (role === `tool` || role === `user`) {\n          throw new Error(incompatibleMessage);\n        }\n        roleContent[role].push(part);\n        break;\n      }\n\n      case 'tool-call': {\n        if (role !== `assistant`) {\n          throw new Error(incompatibleMessage);\n        }\n        roleContent[role].push({\n          ...part,\n          toolName: sanitizeToolName(part.toolName),\n        });\n        break;\n      }\n\n      case 'tool-result': {\n        if (role === `user`) {\n          throw new Error(incompatibleMessage);\n        }\n        roleContent[role].push({\n          ...part,\n          toolName: sanitizeToolName(part.toolName),\n        });\n        break;\n      }\n\n      case 'file': {\n        if (role === `tool`) {\n          throw new Error(incompatibleMessage);\n        }\n        roleContent[role].push({\n          ...part,\n          data: part.data instanceof ArrayBuffer ? new Uint8Array(part.data) : part.data,\n        });\n        break;\n      }\n\n      case 'image': {\n        if (role === `tool`) {\n          throw new Error(incompatibleMessage);\n        }\n        roleContent[role].push({\n          ...part,\n          mediaType: part.mediaType || 'image/unknown',\n          type: 'file',\n          data: part.image instanceof ArrayBuffer ? new Uint8Array(part.image) : part.image,\n        });\n        break;\n      }\n    }\n  }\n\n  if (role === `tool`) {\n    return {\n      ...modelMessage,\n      content: roleContent[role],\n    };\n  }\n  if (role === `user`) {\n    return {\n      ...modelMessage,\n      content: roleContent[role],\n    };\n  }\n  if (role === `assistant`) {\n    return {\n      ...modelMessage,\n      content: roleContent[role],\n    };\n  }\n\n  throw new Error(\n    `Encountered unknown role ${role} when converting V5 ModelMessage -> V5 LanguageModelV2Message, input message: ${JSON.stringify(modelMessage, null, 2)}`,\n  );\n}\n","import type { CoreMessage as CoreMessageV4 } from '@internal/ai-sdk-v4';\n\nimport { CacheKeyGenerator } from '../cache/CacheKeyGenerator';\nimport { TypeDetector } from '../detection/TypeDetector';\nimport type { MessageInput } from '../types';\n\n/**\n * Convert CoreMessage content to a plain string.\n * Extracts text from text parts and concatenates them.\n */\nexport function coreContentToString(content: CoreMessageV4['content']): string {\n  if (typeof content === `string`) return content;\n\n  return content.reduce((p, c) => {\n    if (c.type === `text`) {\n      p += c.text;\n    }\n    return p;\n  }, '');\n}\n\n/**\n * Compare two messages for equality based on their content.\n * Uses cache keys for efficient comparison across different message formats.\n */\nexport function messagesAreEqual(one: MessageInput, two: MessageInput): boolean {\n  const oneUIV4 = TypeDetector.isAIV4UIMessage(one) && one;\n  const twoUIV4 = TypeDetector.isAIV4UIMessage(two) && two;\n  if (oneUIV4 && !twoUIV4) return false;\n  if (oneUIV4 && twoUIV4) {\n    return CacheKeyGenerator.fromAIV4Parts(one.parts) === CacheKeyGenerator.fromAIV4Parts(two.parts);\n  }\n\n  const oneCMV4 = TypeDetector.isAIV4CoreMessage(one) && one;\n  const twoCMV4 = TypeDetector.isAIV4CoreMessage(two) && two;\n  if (oneCMV4 && !twoCMV4) return false;\n  if (oneCMV4 && twoCMV4) {\n    return (\n      CacheKeyGenerator.fromAIV4CoreMessageContent(oneCMV4.content) ===\n      CacheKeyGenerator.fromAIV4CoreMessageContent(twoCMV4.content)\n    );\n  }\n\n  const oneMM1 = TypeDetector.isMastraMessageV1(one) && one;\n  const twoMM1 = TypeDetector.isMastraMessageV1(two) && two;\n  if (oneMM1 && !twoMM1) return false;\n  if (oneMM1 && twoMM1) {\n    return (\n      oneMM1.id === twoMM1.id &&\n      CacheKeyGenerator.fromAIV4CoreMessageContent(oneMM1.content) ===\n        CacheKeyGenerator.fromAIV4CoreMessageContent(twoMM1.content)\n    );\n  }\n\n  const oneMM2 = TypeDetector.isMastraDBMessage(one) && one;\n  const twoMM2 = TypeDetector.isMastraDBMessage(two) && two;\n  if (oneMM2 && !twoMM2) return false;\n  if (oneMM2 && twoMM2) {\n    return (\n      oneMM2.id === twoMM2.id &&\n      CacheKeyGenerator.fromDBParts(oneMM2.content.parts) === CacheKeyGenerator.fromDBParts(twoMM2.content.parts)\n    );\n  }\n\n  const oneUIV5 = TypeDetector.isAIV5UIMessage(one) && one;\n  const twoUIV5 = TypeDetector.isAIV5UIMessage(two) && two;\n  if (oneUIV5 && !twoUIV5) return false;\n  if (oneUIV5 && twoUIV5) {\n    return CacheKeyGenerator.fromAIV5Parts(one.parts) === CacheKeyGenerator.fromAIV5Parts(two.parts);\n  }\n\n  const oneCMV5 = TypeDetector.isAIV5CoreMessage(one) && one;\n  const twoCMV5 = TypeDetector.isAIV5CoreMessage(two) && two;\n  if (oneCMV5 && !twoCMV5) return false;\n  if (oneCMV5 && twoCMV5) {\n    return (\n      CacheKeyGenerator.fromAIV5ModelMessageContent(oneCMV5.content) ===\n      CacheKeyGenerator.fromAIV5ModelMessageContent(twoCMV5.content)\n    );\n  }\n\n  // default to it did change. we'll likely never reach this codepath\n  return true;\n}\n","import type { MastraDBMessage, MastraMessagePart, MessageSource } from '../state/types';\n\nexport function stampPart<T extends MastraMessagePart>(part: T): T {\n  if (part.createdAt == null) {\n    part.createdAt = Date.now();\n  }\n\n  return part;\n}\n\nexport function stampMessageParts<T extends MastraDBMessage>(message: T, source: MessageSource): T {\n  if (source === 'memory' || !Array.isArray(message.content.parts)) {\n    return message;\n  }\n\n  message.content.parts = message.content.parts.map(part => stampPart(part));\n  return message;\n}\n","import type { CoreMessage as CoreMessageV4, UIMessage as UIMessageV4 } from '@internal/ai-sdk-v4';\n\nimport { AIV4Adapter, AIV5Adapter, AIV6Adapter } from '../adapters';\nimport { TypeDetector } from '../detection/TypeDetector';\nimport type {\n  MastraDBMessage,\n  MastraMessageV1,\n  MessageSource,\n  MemoryInfo,\n  UIMessageWithMetadata,\n} from '../state/types';\nimport type { MessageInput } from '../types';\nimport { stampMessageParts } from '../utils/stamp-part';\n\n/**\n * Context required for input conversion functions.\n * This is passed from MessageList to provide access to instance-specific utilities.\n */\nexport interface InputConversionContext {\n  memoryInfo: MemoryInfo | null;\n  newMessageId: () => string;\n  generateCreatedAt: (messageSource: MessageSource, start?: unknown) => Date;\n  /** Messages array for looking up tool call args */\n  dbMessages: MastraDBMessage[];\n}\n\n/**\n * Convert any supported message input format to MastraDBMessage.\n * Routes to the appropriate converter based on message type detection.\n */\nexport function inputToMastraDBMessage(\n  message: MessageInput,\n  messageSource: MessageSource,\n  context: InputConversionContext,\n): MastraDBMessage {\n  // Validate threadId matches (except for memory messages which can come from other threads)\n  if (\n    messageSource !== `memory` &&\n    `threadId` in message &&\n    message.threadId &&\n    context.memoryInfo &&\n    message.threadId !== context.memoryInfo.threadId\n  ) {\n    throw new Error(\n      `Received input message with wrong threadId. Input ${message.threadId}, expected ${context.memoryInfo.threadId}`,\n    );\n  }\n\n  // Validate resourceId matches\n  if (\n    `resourceId` in message &&\n    message.resourceId &&\n    context.memoryInfo?.resourceId &&\n    message.resourceId !== context.memoryInfo.resourceId\n  ) {\n    throw new Error(\n      `Received input message with wrong resourceId. Input ${message.resourceId}, expected ${context.memoryInfo.resourceId}`,\n    );\n  }\n\n  if (TypeDetector.isMastraMessageV1(message)) {\n    return stampMessageParts(mastraMessageV1ToMastraDBMessage(message, messageSource, context), messageSource);\n  }\n  if (TypeDetector.isMastraDBMessage(message)) {\n    return stampMessageParts(hydrateMastraDBMessageFields(message, context, messageSource), messageSource);\n  }\n  if (TypeDetector.isAIV4CoreMessage(message)) {\n    return stampMessageParts(AIV4Adapter.fromCoreMessage(message, context, messageSource), messageSource);\n  }\n  if (TypeDetector.isAIV4UIMessage(message)) {\n    return stampMessageParts(\n      AIV4Adapter.fromUIMessage(message as UIMessageV4 | UIMessageWithMetadata, context, messageSource),\n      messageSource,\n    );\n  }\n\n  // Use custom ID generator if message doesn't have an ID, otherwise keep the original\n  const hasOriginalId = 'id' in message && typeof message.id === 'string';\n  const id = hasOriginalId ? message.id : context.newMessageId();\n\n  if (TypeDetector.isAIV6CoreMessage(message)) {\n    const dbMsg = AIV6Adapter.fromModelMessage(message, messageSource, context);\n    const rawCreatedAt =\n      'metadata' in message &&\n      message.metadata &&\n      typeof message.metadata === 'object' &&\n      'createdAt' in message.metadata\n        ? message.metadata.createdAt\n        : undefined;\n    return {\n      ...dbMsg,\n      id,\n      createdAt: context.generateCreatedAt(messageSource, rawCreatedAt),\n      threadId: context.memoryInfo?.threadId,\n      resourceId: context.memoryInfo?.resourceId,\n    };\n  }\n  if (TypeDetector.isAIV6UIMessage(message)) {\n    const dbMsg = AIV6Adapter.fromUIMessage(message);\n    const rawCreatedAt = 'createdAt' in message ? message.createdAt : undefined;\n    return {\n      ...dbMsg,\n      id,\n      createdAt: context.generateCreatedAt(messageSource, rawCreatedAt),\n      threadId: context.memoryInfo?.threadId,\n      resourceId: context.memoryInfo?.resourceId,\n    };\n  }\n\n  if (TypeDetector.isAIV5CoreMessage(message)) {\n    const dbMsg = AIV5Adapter.fromModelMessage(message, messageSource);\n    // Only use the original createdAt from input message metadata, not the generated one from the static method\n    // This fixes issue #10683 where messages without createdAt would get shuffled\n    const rawCreatedAt =\n      'metadata' in message &&\n      message.metadata &&\n      typeof message.metadata === 'object' &&\n      'createdAt' in message.metadata\n        ? message.metadata.createdAt\n        : undefined;\n    return stampMessageParts(\n      {\n        ...dbMsg,\n        id,\n        createdAt: context.generateCreatedAt(messageSource, rawCreatedAt),\n        threadId: context.memoryInfo?.threadId,\n        resourceId: context.memoryInfo?.resourceId,\n      },\n      messageSource,\n    );\n  }\n  if (TypeDetector.isAIV5UIMessage(message)) {\n    const dbMsg = AIV5Adapter.fromUIMessage(message);\n    // Only use the original createdAt from input message, not the generated one from the static method\n    // This fixes issue #10683 where messages without createdAt would get shuffled\n    const rawCreatedAt = 'createdAt' in message ? message.createdAt : undefined;\n    return stampMessageParts(\n      {\n        ...dbMsg,\n        id,\n        createdAt: context.generateCreatedAt(messageSource, rawCreatedAt),\n        threadId: context.memoryInfo?.threadId,\n        resourceId: context.memoryInfo?.resourceId,\n      },\n      messageSource,\n    );\n  }\n\n  throw new Error(`Found unhandled message ${JSON.stringify(message)}`);\n}\n\n/**\n * Convert MastraMessageV1 format to MastraDBMessage.\n */\nexport function mastraMessageV1ToMastraDBMessage(\n  message: MastraMessageV1,\n  messageSource: MessageSource,\n  context: InputConversionContext,\n): MastraDBMessage {\n  const coreV2 = AIV4Adapter.fromCoreMessage(\n    {\n      content: message.content,\n      role: message.role,\n    } as CoreMessageV4,\n    context,\n    messageSource,\n  );\n\n  return {\n    id: message.id,\n    role: coreV2.role,\n    createdAt: context.generateCreatedAt(messageSource, message.createdAt),\n    threadId: message.threadId,\n    resourceId: message.resourceId,\n    content: coreV2.content,\n  };\n}\n\n/**\n * Hydrate a MastraDBMessage with missing fields (id, createdAt, threadId, resourceId).\n * Also fixes toolInvocations with empty args by looking in the parts array.\n */\nexport function hydrateMastraDBMessageFields(\n  message: MastraDBMessage,\n  context: InputConversionContext,\n  messageSource: MessageSource,\n): MastraDBMessage {\n  // Generate ID if missing\n  if (!message.id) {\n    message.id = context.newMessageId();\n  }\n\n  if (message.createdAt === undefined || message.createdAt === null) {\n    message.createdAt = context.generateCreatedAt(messageSource);\n  } else if (!(message.createdAt instanceof Date)) {\n    message.createdAt = new Date(message.createdAt);\n  }\n\n  // Fix toolInvocations with empty args by looking in the parts array\n  // This handles messages restored from database where toolInvocations might have lost their args\n  if (message.content.toolInvocations && message.content.parts) {\n    message.content.toolInvocations = message.content.toolInvocations.map(ti => {\n      if (!ti.args || Object.keys(ti.args).length === 0) {\n        // Find the corresponding tool-invocation part with args\n        const partWithArgs = message.content.parts.find(\n          part =>\n            part.type === 'tool-invocation' &&\n            part.toolInvocation &&\n            part.toolInvocation.toolCallId === ti.toolCallId &&\n            part.toolInvocation.args &&\n            Object.keys(part.toolInvocation.args).length > 0,\n        );\n        if (partWithArgs && partWithArgs.type === 'tool-invocation') {\n          return { ...ti, args: partWithArgs.toolInvocation.args };\n        }\n      }\n      return ti;\n    });\n  }\n\n  if (!message.threadId && context.memoryInfo?.threadId) {\n    message.threadId = context.memoryInfo.threadId;\n\n    if (!message.resourceId && context.memoryInfo?.resourceId) {\n      message.resourceId = context.memoryInfo.resourceId;\n    }\n  }\n\n  return message;\n}\n","import { convertToCoreMessages as convertToCoreMessagesV4 } from '@internal/ai-sdk-v4';\nimport type { CoreMessage as CoreMessageV4, UIMessage as UIMessageV4 } from '@internal/ai-sdk-v4';\nimport * as AIV5 from '@internal/ai-sdk-v5';\n\nimport { AIV4Adapter, AIV5Adapter, AIV6Adapter } from '../adapters';\nimport type { AdapterContext } from '../adapters';\nimport { TypeDetector } from '../detection/TypeDetector';\nimport type { MastraDBMessage, MessageSource } from '../state/types';\nimport type { AIV5Type, AIV6Type } from '../types';\nimport { ensureAnthropicCompatibleMessages, sanitizeOrphanedToolPairs } from '../utils/provider-compat';\nimport { getResponseProviderItemKey } from '../utils/response-item-metadata';\n\n/**\n * Merges text parts that share the same OpenAI-compatible itemId.\n *\n * When OpenAI streams a response with web search, it interleaves `source` chunks\n * with text-deltas. If the streaming pipeline flushes text on these source chunks,\n * it creates multiple text parts all sharing the same `providerMetadata.openai.itemId`.\n *\n * When these parts are later converted to model messages, each part with an itemId\n * becomes an `item_reference` pointing to the same ID, causing OpenAI to reject\n * the request with: \"Duplicate item found with id msg_*\"\n *\n * This function merges consecutive text parts with the same itemId into a single part,\n * allowing source annotations between those text flushes, concatenating their text\n * content, and keeping the metadata from the first part.\n */\nfunction isTextMergePassThroughPart(part: { type: string }): boolean {\n  // Only source annotations are transparent for text-item merging. Tool,\n  // reasoning, file, and step parts are merge boundaries.\n  return part.type.startsWith('source-');\n}\n\nfunction mergeTextPartsWithDuplicateItemIds<T extends { type: string }>(parts: T[]): T[] {\n  const result: T[] = [];\n\n  for (const part of parts) {\n    // Only process text parts with OpenAI-compatible itemId\n    if (part.type !== 'text') {\n      result.push(part);\n      continue;\n    }\n\n    const textPart = part as T & { text: string; providerMetadata?: Record<string, unknown> };\n    const itemId = getResponseProviderItemKey(textPart.providerMetadata);\n    if (!itemId) {\n      result.push(part);\n      continue;\n    }\n\n    let merged = false;\n    for (let index = result.length - 1; index >= 0; index--) {\n      const previous = result[index]!;\n      if (previous.type === 'text') {\n        const previousTextPart = previous as T & { text: string; providerMetadata?: Record<string, unknown> };\n        const previousItemId = getResponseProviderItemKey(previousTextPart.providerMetadata);\n\n        if (previousItemId === itemId) {\n          result[index] = {\n            ...previousTextPart,\n            text: previousTextPart.text + textPart.text,\n          };\n          merged = true;\n        }\n\n        break;\n      }\n\n      if (!isTextMergePassThroughPart(previous)) {\n        break;\n      }\n    }\n\n    if (merged) {\n      continue;\n    }\n\n    result.push(part);\n  }\n\n  return result;\n}\n\n/**\n * Sanitizes AIV4 UI messages by filtering out incomplete tool calls.\n * Removes messages with empty parts arrays after sanitization.\n */\nexport function sanitizeAIV4UIMessages(messages: UIMessageV4[]): UIMessageV4[] {\n  const msgs = messages\n    .map(m => {\n      if (m.parts.length === 0) return false;\n      const safeParts = m.parts.filter(\n        p =>\n          p.type !== `tool-invocation` ||\n          // calls and partial-calls should be updated to be results at this point\n          // if they haven't we can't send them back to the llm and need to remove them.\n          (p.toolInvocation.state !== `call` && p.toolInvocation.state !== `partial-call`),\n      );\n\n      // fully remove this message if it has an empty parts array after stripping out incomplete tool calls.\n      if (!safeParts.length) return false;\n\n      const sanitized = {\n        ...m,\n        parts: safeParts,\n      };\n\n      // ensure toolInvocations are also updated to only show results\n      if (`toolInvocations` in m && m.toolInvocations) {\n        sanitized.toolInvocations = m.toolInvocations.filter(t => t.state === `result`);\n      }\n\n      return sanitized;\n    })\n    .filter((m): m is UIMessageV4 => Boolean(m));\n  return msgs;\n}\n\n/**\n * Sanitizes AIV5 UI messages by filtering out streaming states, data-* parts, empty text parts, and optionally incomplete tool calls.\n * Handles legacy data by filtering empty text parts that may exist in pre-existing DB records.\n */\nexport function sanitizeV5UIMessages(\n  messages: AIV5Type.UIMessage[],\n  filterIncompleteToolCalls = false,\n): AIV5Type.UIMessage[] {\n  // Precompute the index of the last user message. A deferred provider-executed\n  // tool call (e.g. Anthropic non-deterministically defers web_search across\n  // steps N→N+1 within the same run) may legitimately carry `input-available`\n  // state ONLY on the most recent surviving assistant message, AND only if no\n  // user turn has followed it. On any earlier assistant turn (or after a later\n  // user message) an unresolved provider-executed call is an orphan — provider\n  // dropped the result chunk (#15668), run aborted mid-stream (#14148), or a\n  // stale call from an earlier step (#14192) — and must be dropped to keep the\n  // tool-call/tool-result invariant.\n  let lastUserIdx = -1;\n  for (let i = messages.length - 1; i >= 0; i--) {\n    if (messages[i]!.role === 'user') {\n      lastUserIdx = i;\n      break;\n    }\n  }\n\n  const getSafeParts = (m: AIV5Type.UIMessage, assistantTurnStillOpen: boolean) =>\n    m.parts.filter(p => {\n      // Filter out data-* parts (custom streaming data from writer.custom())\n      // These are Mastra extensions not supported by LLM providers.\n      // If not filtered, convertToModelMessages produces empty content arrays\n      // which causes some models to fail with \"must include at least one parts field\"\n      if (typeof p.type === 'string' && p.type.startsWith('data-')) {\n        return false;\n      }\n\n      // Filter out empty text parts to handle legacy data from before this filtering was implemented.\n      // For assistant messages, preserve empty text parts if they are the only parts (placeholder messages).\n      // For user messages, always filter them out — Anthropic rejects empty user text content blocks.\n      if (p.type === 'text' && (!('text' in p) || p.text === '' || p.text?.trim() === '')) {\n        // Always filter empty text parts from user messages\n        if (m.role === 'user') return false;\n\n        // For non-user messages, only filter if there are other non-empty parts\n        const hasNonEmptyParts = m.parts.some(\n          part => !(part.type === 'text' && (!('text' in part) || part.text === '' || part.text?.trim() === '')),\n        );\n        if (hasNonEmptyParts) return false;\n      }\n\n      if (!AIV5.isToolUIPart(p)) return true;\n\n      // When sending messages TO the LLM: keep completed tool calls and provider-executed tools.\n      // Filter out incomplete client-side tool calls (input-available without providerExecuted)\n      // and input-streaming states.\n      if (filterIncompleteToolCalls) {\n        // Completed tools (client or provider) — keep them\n        if (p.state === 'output-available' || p.state === 'output-error') return true;\n        // Provider-executed tools may be deferred by the provider (e.g. Anthropic non-deterministically\n        // defers web_search when mixed with client tool calls). Keep these so the provider API sees\n        // the server_tool_use block on the next request — but ONLY on the most recent surviving\n        // assistant message. On any earlier assistant turn an unresolved provider-executed call is\n        // an orphan (provider dropped the result chunk, or the run aborted mid-stream) and must be\n        // dropped to keep the tool-call/tool-result invariant required by provider APIs. See #15668, #14148.\n        if (p.state === 'input-available' && p.providerExecuted && assistantTurnStillOpen) return true;\n        return false;\n      }\n\n      // When processing response messages FROM the LLM: keep input-available states\n      // (tool calls waiting for client-side execution) but filter out input-streaming\n      return p.state !== 'input-streaming';\n    });\n\n  let lastSurvivingAssistantIdx = -1;\n  if (lastUserIdx !== messages.length - 1) {\n    for (let i = messages.length - 1; i > lastUserIdx; i--) {\n      const message = messages[i]!;\n      if (message.role !== 'assistant' || message.parts.length === 0) continue;\n      if (getSafeParts(message, true).length > 0) {\n        lastSurvivingAssistantIdx = i;\n        break;\n      }\n    }\n  }\n\n  const msgs = messages\n    .map((m, idx) => {\n      if (m.parts.length === 0) return false;\n\n      // Deferred-provider-tool behavior is ONLY valid on the most recent surviving\n      // assistant message AND only when no user turn has followed it.\n      const assistantTurnStillOpen = m.role === 'assistant' && idx === lastSurvivingAssistantIdx;\n\n      // Filter out streaming states and optionally input-available (which aren't supported by convertToModelMessages)\n      const safeParts = getSafeParts(m, assistantTurnStillOpen);\n\n      if (!safeParts.length) return false;\n\n      // Merge text parts with duplicate OpenAI-compatible itemIds to prevent \"Duplicate item found\" errors.\n      // This can happen when streaming flushes text multiple times for the same response\n      // (e.g., when source citations are interleaved with text-deltas).\n      const mergedParts = mergeTextPartsWithDuplicateItemIds(safeParts);\n\n      const sanitized = {\n        ...m,\n        parts: mergedParts.map(part => {\n          if (AIV5.isToolUIPart(part) && part.state === 'output-available') {\n            return {\n              ...part,\n              output: (() => {\n                const o = part.output;\n                if (o == null || typeof o !== 'object') return o;\n                const obj = o as Record<string, unknown>;\n                // Preserve { type: 'content', value: [...] } — this is the AI SDK's\n                // native multimodal tool result shape. Unwrapping it here causes\n                // convertToModelMessages to receive a raw array which gets stringified.\n                // See: https://github.com/mastra-ai/mastra/issues/17876\n                if (obj.type === 'content' && Array.isArray(obj.value)) return o;\n                // For other wrapped shapes (legacy), unwrap as before\n                if ('value' in obj) return obj.value;\n                return o;\n              })(),\n            };\n          }\n          return part;\n        }),\n      };\n\n      return sanitized;\n    })\n    .filter((m): m is AIV5Type.UIMessage => Boolean(m));\n  return msgs;\n}\n\n/**\n * Adds step-start parts between tool parts and non-tool parts for proper AIV5 message conversion.\n * This ensures AIV5.convertToModelMessages produces the correct message order.\n */\nexport function addStartStepPartsForAIV5(messages: AIV5Type.UIMessage[]): AIV5Type.UIMessage[] {\n  for (const message of messages) {\n    if (message.role !== `assistant`) continue;\n    for (const [index, part] of message.parts.entries()) {\n      if (!AIV5.isToolUIPart(part)) continue;\n      const nextPart = message.parts.at(index + 1);\n      // If we don't insert step-start between tools and other parts, AIV5.convertToModelMessages will incorrectly add extra tool parts in the wrong order\n      // ex: ui message with parts: [tool-result, text] becomes [assistant-message-with-both-parts, tool-result-message], when it should become [tool-call-message, tool-result-message, text-message]\n      // However, we should NOT add step-start between consecutive tool parts (parallel tool calls)\n      if (nextPart && nextPart.type !== `step-start` && !AIV5.isToolUIPart(nextPart)) {\n        message.parts.splice(index + 1, 0, { type: 'step-start' });\n      }\n\n      // Split client tools from completed provider-executed tools.\n      // Anthropic requires tool_result to immediately follow tool_use. When a client tool_use and\n      // a server_tool_use (with inline result) are in the same block, convertToModelMessages produces:\n      //   assistant: [tool_use(client), server_tool_use(provider), tool_result(provider)]\n      //   user:      [tool_result(client)]\n      // Anthropic rejects this because tool_result(client) doesn't immediately follow tool_use(client).\n      // Splitting them into separate blocks fixes the ordering.\n      if (\n        nextPart &&\n        AIV5.isToolUIPart(nextPart) &&\n        !part.providerExecuted &&\n        nextPart.providerExecuted &&\n        (nextPart.state === 'output-available' || nextPart.state === 'output-error')\n      ) {\n        message.parts.splice(index + 1, 0, { type: 'step-start' });\n      }\n    }\n  }\n  return messages;\n}\n\n/**\n * Converts AIV4 UI messages to AIV4 Core messages.\n */\nexport function aiV4UIMessagesToAIV4CoreMessages(messages: UIMessageV4[]): CoreMessageV4[] {\n  return convertToCoreMessagesV4(sanitizeAIV4UIMessages(messages));\n}\n\n/**\n * Converts MCP-style tool results (`{ content: [...] }`) to model-native\n * multimodal tool result output without persisting a duplicate modelOutput copy.\n */\nfunction convertMcpContentToolResultOutput(output: unknown): unknown {\n  if (!output || typeof output !== 'object') return undefined;\n\n  const content = (output as Record<string, unknown>).content;\n  if (!Array.isArray(content)) return undefined;\n\n  const hasValidMultimodal = content.some(part => {\n    if (!part || typeof part !== 'object') return false;\n    const typedPart = part as Record<string, unknown>;\n    return (typedPart.type === 'image' || typedPart.type === 'audio') && typeof typedPart.data === 'string';\n  });\n  if (!hasValidMultimodal) return undefined;\n\n  const value = content\n    .map(part => {\n      if (!part || typeof part !== 'object') return null;\n      const typedPart = part as Record<string, unknown>;\n      switch (typedPart.type) {\n        case 'text':\n          return { type: 'text', text: String(typedPart.text ?? '') };\n        case 'image':\n          return typeof typedPart.data === 'string'\n            ? { type: 'image-data', data: typedPart.data, mediaType: String(typedPart.mimeType ?? 'image/png') }\n            : { type: 'text', text: JSON.stringify(typedPart) };\n        case 'audio':\n          return typeof typedPart.data === 'string'\n            ? { type: 'file-data', data: typedPart.data, mediaType: String(typedPart.mimeType ?? 'audio/wav') }\n            : { type: 'text', text: JSON.stringify(typedPart) };\n        default:\n          return { type: 'text', text: JSON.stringify(typedPart) };\n      }\n    })\n    .filter(Boolean);\n\n  return value.length > 0 ? { type: 'content', value } : undefined;\n}\n\nfunction collectRawToolResultOutputs(dbMessages: MastraDBMessage[]): Map<string, unknown> {\n  const outputs = new Map<string, unknown>();\n  for (const message of dbMessages) {\n    if (message.content?.format !== 2 || !message.content.parts) continue;\n\n    for (const part of message.content.parts) {\n      if (part.type !== 'tool-invocation' || part.toolInvocation?.state !== 'result') continue;\n      outputs.set(part.toolInvocation.toolCallId, part.toolInvocation.result);\n    }\n  }\n  return outputs;\n}\n\nfunction isDefaultToolResultOutput(output: unknown, rawOutput: unknown): boolean {\n  if (!output || typeof output !== 'object') return false;\n  const typedOutput = output as Record<string, unknown>;\n  if (typedOutput.type !== 'json') return false;\n  return JSON.stringify(typedOutput.value) === JSON.stringify(rawOutput);\n}\n\nfunction applyMcpContentToolResultOutputs(\n  modelMessages: AIV5Type.ModelMessage[],\n  dbMessages: MastraDBMessage[],\n): AIV5Type.ModelMessage[] {\n  const rawOutputs = collectRawToolResultOutputs(dbMessages);\n  if (rawOutputs.size === 0) return modelMessages;\n\n  return modelMessages.map(message => {\n    if (message.role !== 'tool' || !Array.isArray(message.content)) return message;\n\n    let modified = false;\n    const content = message.content.map(part => {\n      if (part.type !== 'tool-result' || !rawOutputs.has(part.toolCallId)) return part;\n      const rawOutput = rawOutputs.get(part.toolCallId);\n      if (!isDefaultToolResultOutput(part.output, rawOutput)) return part;\n      const converted = convertMcpContentToolResultOutput(rawOutput);\n      if (!converted) return part;\n      modified = true;\n      return { ...part, output: converted } as typeof part;\n    });\n\n    return modified ? ({ ...message, content } as AIV5Type.ModelMessage) : message;\n  });\n}\n\n/**\n * Restores `providerOptions` on assistant file parts after `convertToModelMessages`.\n *\n * The vendored AI SDK v5 `convertToModelMessages` drops `providerMetadata` from\n * assistant file parts (fixed in v6 but not backported). This causes providers\n * like Google Gemini to reject round-tripped responses that require metadata\n * (e.g. `thoughtSignature` on generated images).\n *\n * We collect all `providerMetadata` values from assistant `file` UI parts in\n * order, then walk the model messages and assign them to assistant `file` parts\n * in the same order. The ordering is guaranteed to be preserved.\n */\nfunction restoreAssistantFileProviderMetadata(\n  modelMessages: AIV5Type.ModelMessage[],\n  uiMessages: AIV5Type.UIMessage[],\n): AIV5Type.ModelMessage[] {\n  // Collect providerMetadata from ALL assistant file UI parts in order,\n  // using undefined as a placeholder for parts without metadata so that\n  // the indices stay aligned with the model-side file parts.\n  const fileMetadata: (AIV5Type.ProviderMetadata | undefined)[] = [];\n  for (const msg of uiMessages) {\n    if (msg.role !== 'assistant') continue;\n    for (const part of msg.parts) {\n      if (part.type === 'file') {\n        fileMetadata.push(part.providerMetadata ?? undefined);\n      }\n    }\n  }\n\n  if (fileMetadata.length === 0 || fileMetadata.every(m => m == null)) return modelMessages;\n\n  // Walk model messages and restore providerOptions on assistant file parts\n  let metadataIndex = 0;\n  return modelMessages.map(msg => {\n    if (msg.role !== 'assistant' || typeof msg.content === 'string') return msg;\n\n    let modified = false;\n    const content = msg.content.map(part => {\n      if (part.type !== 'file' || metadataIndex >= fileMetadata.length) return part;\n      const metadata = fileMetadata[metadataIndex++];\n      if (part.providerOptions || !metadata) return part;\n      modified = true;\n      return { ...part, providerOptions: metadata };\n    });\n\n    return modified ? { ...msg, content } : msg;\n  });\n}\n\n/**\n * Converts AIV5 UI messages to AIV5 Model messages.\n * Handles sanitization, step-start insertion, provider options restoration, and Anthropic compatibility.\n *\n * @param messages - AIV5 UI messages to convert\n * @param dbMessages - MastraDB messages used to look up tool call args for Anthropic compatibility\n * @param filterIncompleteToolCalls - Whether to filter out incomplete tool calls\n */\nexport function aiV5UIMessagesToAIV5ModelMessages(\n  messages: AIV5Type.UIMessage[],\n  dbMessages: MastraDBMessage[],\n  filterIncompleteToolCalls = false,\n): AIV5Type.ModelMessage[] {\n  const sanitized = sanitizeV5UIMessages(messages, filterIncompleteToolCalls);\n  const preprocessed = addStartStepPartsForAIV5(sanitized);\n\n  // Convert per UI message: an assistant turn with a tool call splits into\n  // [assistant, tool] model messages, so a batch convert + index-based attach\n  // would misplace message-level providerOptions onto the tool message.\n  const converted: AIV5Type.ModelMessage[] = [];\n  for (const uiMsg of preprocessed) {\n    const produced = AIV5.convertToModelMessages([uiMsg]);\n    if (produced.length === 0) continue;\n\n    const providerMetadata =\n      uiMsg.metadata && typeof uiMsg.metadata === 'object' && 'providerMetadata' in uiMsg.metadata\n        ? (uiMsg.metadata as { providerMetadata?: AIV5Type.ProviderMetadata }).providerMetadata\n        : undefined;\n\n    if (providerMetadata) {\n      let target = -1;\n      for (let index = produced.length - 1; index >= 0; index--) {\n        if (produced[index]?.role === uiMsg.role) {\n          target = index;\n          break;\n        }\n      }\n      if (target !== -1) {\n        produced[target] = { ...produced[target], providerOptions: providerMetadata } as AIV5Type.ModelMessage;\n      }\n    }\n\n    converted.push(...produced);\n  }\n\n  const withFileMetadata = restoreAssistantFileProviderMetadata(converted, preprocessed);\n  const withMcpContentOutputs = applyMcpContentToolResultOutputs(withFileMetadata, dbMessages);\n\n  // Add input field to tool-result parts for Anthropic API compatibility (fixes issue #11376)\n  const anthropicCompat = ensureAnthropicCompatibleMessages(withMcpContentOutputs, dbMessages);\n\n  return filterIncompleteToolCalls ? sanitizeOrphanedToolPairs(anthropicCompat) : anthropicCompat;\n}\n\n/**\n * Converts AIV4 Core messages to AIV5 Model messages.\n */\nexport function aiV4CoreMessagesToAIV5ModelMessages(\n  messages: CoreMessageV4[],\n  source: MessageSource,\n  adapterContext: AdapterContext,\n  dbMessages: MastraDBMessage[],\n): AIV5Type.ModelMessage[] {\n  return aiV5UIMessagesToAIV5ModelMessages(\n    messages.map(m => AIV4Adapter.fromCoreMessage(m, adapterContext, source)).map(m => AIV5Adapter.toUIMessage(m)),\n    dbMessages,\n  );\n}\n\n/**\n * Converts various message formats to AIV4 CoreMessage format for system messages.\n * Supports string, MastraDBMessage, or AI SDK message types.\n */\nexport function systemMessageToAIV4Core(\n  message: CoreMessageV4 | AIV5Type.ModelMessage | AIV6Type.ModelMessage | MastraDBMessage | string,\n): CoreMessageV4 {\n  if (typeof message === `string`) {\n    return { role: 'system', content: message };\n  }\n\n  if (TypeDetector.isAIV6CoreMessage(message)) {\n    const dbMsg = AIV6Adapter.fromModelMessage(message as AIV6Type.ModelMessage, 'system');\n    return AIV4Adapter.systemToV4Core(dbMsg);\n  }\n\n  if (TypeDetector.isAIV5CoreMessage(message)) {\n    const dbMsg = AIV5Adapter.fromModelMessage(message as AIV5Type.ModelMessage, 'system');\n    return AIV4Adapter.systemToV4Core(dbMsg);\n  }\n\n  if (TypeDetector.isMastraDBMessage(message)) {\n    return AIV4Adapter.systemToV4Core(message);\n  }\n\n  return message;\n}\n","import { convertBase64ToUint8Array, convertUint8ArrayToBase64 } from '@ai-sdk/provider-utils-v5';\n\n/**\n * A generated file.\n */\nexport interface GeneratedFile {\n  /**\n  File as a base64 encoded string.\n       */\n  readonly base64: string;\n\n  /**\n  File as a Uint8Array.\n       */\n  readonly uint8Array: Uint8Array;\n\n  /**\n  The IANA media type of the file.\n  \n  @see https://www.iana.org/assignments/media-types/media-types.xhtml\n     */\n  readonly mediaType: string;\n}\n\nexport class DefaultGeneratedFile implements GeneratedFile {\n  private base64Data: string | undefined;\n  private uint8ArrayData: Uint8Array | undefined;\n\n  readonly mediaType: string;\n\n  constructor({ data, mediaType }: { data: string | Uint8Array; mediaType: string }) {\n    const isUint8Array = data instanceof Uint8Array;\n    this.base64Data = isUint8Array ? undefined : data;\n    this.uint8ArrayData = isUint8Array ? data : undefined;\n    this.mediaType = mediaType;\n  }\n\n  // lazy conversion with caching to avoid unnecessary conversion overhead:\n  get base64() {\n    if (this.base64Data == null) {\n      this.base64Data = convertUint8ArrayToBase64(this.uint8ArrayData!);\n    }\n    return this.base64Data;\n  }\n\n  // lazy conversion with caching to avoid unnecessary conversion overhead:\n  get uint8Array() {\n    if (this.uint8ArrayData == null) {\n      this.uint8ArrayData = convertBase64ToUint8Array(this.base64Data!);\n    }\n    return this.uint8ArrayData;\n  }\n}\n\nexport class DefaultGeneratedFileWithType extends DefaultGeneratedFile {\n  readonly type = 'file';\n\n  constructor(options: { data: string | Uint8Array; mediaType: string }) {\n    super(options);\n  }\n}\n","import * as AIV5 from '@internal/ai-sdk-v5';\n\nimport { DefaultGeneratedFileWithType } from '../../../stream/aisdk/v5/file';\nimport { convertDataContentToBase64String } from '../prompt/data-content';\nimport { parseDataUri } from '../prompt/image-utils';\nimport type { MastraDBMessage } from '../state/types';\nimport type { AIV5Type } from '../types';\nimport { findToolCallArgs } from '../utils/provider-compat';\nimport { sanitizeV5UIMessages } from './output-converter';\n\n/**\n * StepContentExtractor - Handles extraction of step content from response messages\n *\n * This class encapsulates the complex logic for:\n * - Finding step boundaries by looking for step-start markers\n * - Handling special cases like -1 (last step) and tool-only steps\n * - Converting UI messages to model messages and extracting content\n */\nexport class StepContentExtractor {\n  /**\n   * Extract content for a specific step number from UI messages\n   *\n   * @param uiMessages - Array of AI SDK V5 UI messages\n   * @param stepNumber - Step number to extract (1-indexed, or -1 for last step)\n   * @param stepContentFn - Function to convert model messages to step content\n   * @returns Step content array\n   */\n  static extractStepContent(\n    uiMessages: AIV5Type.UIMessage[],\n    stepNumber: number,\n    stepContentFn: (message?: AIV5Type.ModelMessage) => AIV5Type.StepResult<any>['content'],\n  ): AIV5Type.StepResult<any>['content'] {\n    const uiMessagesParts = uiMessages.flatMap(item => item.parts);\n\n    // Find step boundaries by looking for step-start markers\n    const stepBoundaries: number[] = [];\n    uiMessagesParts.forEach((part, index) => {\n      if (part.type === 'step-start') {\n        stepBoundaries.push(index);\n      }\n    });\n\n    // Handle -1 to get the last step (the current/most recent step)\n    if (stepNumber === -1) {\n      return StepContentExtractor.extractLastStep(uiMessagesParts, stepBoundaries, stepContentFn);\n    }\n\n    // Step 1 is everything before the first step-start\n    if (stepNumber === 1) {\n      return StepContentExtractor.extractFirstStep(uiMessagesParts, stepBoundaries, stepContentFn);\n    }\n\n    // For steps 2+, content is between (stepNumber-1)th and stepNumber-th step-start markers\n    return StepContentExtractor.extractMiddleStep(uiMessagesParts, stepBoundaries, stepNumber, stepContentFn);\n  }\n\n  /**\n   * Extract the last step content (stepNumber === -1)\n   */\n  private static extractLastStep(\n    uiMessagesParts: AIV5Type.UIMessage['parts'],\n    stepBoundaries: number[],\n    stepContentFn: (message?: AIV5Type.ModelMessage) => AIV5Type.StepResult<any>['content'],\n  ): AIV5Type.StepResult<any>['content'] {\n    // For tool-only steps without step-start markers, we need different logic\n    // Each tool part represents a complete step (tool call + result)\n    const toolParts = uiMessagesParts.filter(p => p.type?.startsWith('tool-'));\n    const hasStepStart = stepBoundaries.length > 0;\n\n    if (!hasStepStart && toolParts.length > 0) {\n      // No step-start markers but we have tool parts\n      // Each tool part is a separate step, so return only the last tool\n      const lastToolPart = toolParts[toolParts.length - 1];\n      if (!lastToolPart) {\n        return [];\n      }\n      const lastToolIndex = uiMessagesParts.indexOf(lastToolPart);\n      const previousToolPart = toolParts[toolParts.length - 2];\n      const previousToolIndex = previousToolPart ? uiMessagesParts.indexOf(previousToolPart) : -1;\n\n      const startIndex = previousToolIndex + 1;\n      const stepParts = uiMessagesParts.slice(startIndex, lastToolIndex + 1);\n\n      return StepContentExtractor.convertPartsToContent(stepParts, 'last-step', stepContentFn);\n    }\n\n    // Count total steps (1 + number of step-start markers)\n    const totalSteps = stepBoundaries.length + 1;\n\n    // Get the content for the last step using the regular step logic\n    if (totalSteps === 1 && !hasStepStart) {\n      // Only one step, return all content\n      return StepContentExtractor.convertPartsToContent(uiMessagesParts, 'last-step', stepContentFn);\n    }\n\n    // Multiple steps - get content after the last step-start marker\n    const lastStepStart = stepBoundaries[stepBoundaries.length - 1];\n    if (lastStepStart === undefined) {\n      return [];\n    }\n    const stepParts = uiMessagesParts.slice(lastStepStart + 1);\n\n    if (stepParts.length === 0) {\n      return [];\n    }\n\n    return StepContentExtractor.convertPartsToContent(stepParts, 'last-step', stepContentFn);\n  }\n\n  /**\n   * Extract the first step content (stepNumber === 1)\n   */\n  private static extractFirstStep(\n    uiMessagesParts: AIV5Type.UIMessage['parts'],\n    stepBoundaries: number[],\n    stepContentFn: (message?: AIV5Type.ModelMessage) => AIV5Type.StepResult<any>['content'],\n  ): AIV5Type.StepResult<any>['content'] {\n    const firstStepStart = stepBoundaries[0] ?? uiMessagesParts.length;\n    if (firstStepStart === 0) {\n      // No content before first step-start\n      return [];\n    }\n\n    const stepParts = uiMessagesParts.slice(0, firstStepStart);\n    return StepContentExtractor.convertPartsToContent(stepParts, 'step-1', stepContentFn);\n  }\n\n  /**\n   * Extract content for steps 2+ (between step-start markers)\n   */\n  private static extractMiddleStep(\n    uiMessagesParts: AIV5Type.UIMessage['parts'],\n    stepBoundaries: number[],\n    stepNumber: number,\n    stepContentFn: (message?: AIV5Type.ModelMessage) => AIV5Type.StepResult<any>['content'],\n  ): AIV5Type.StepResult<any>['content'] {\n    const stepIndex = stepNumber - 2; // -2 because step 2 is at index 0 in boundaries\n    if (stepIndex < 0 || stepIndex >= stepBoundaries.length) {\n      return [];\n    }\n\n    const startIndex = (stepBoundaries[stepIndex] ?? 0) + 1; // Start after the step-start marker\n    const endIndex = stepBoundaries[stepIndex + 1] ?? uiMessagesParts.length;\n\n    if (startIndex >= endIndex) {\n      return [];\n    }\n\n    const stepParts = uiMessagesParts.slice(startIndex, endIndex);\n    return StepContentExtractor.convertPartsToContent(stepParts, `step-${stepNumber}`, stepContentFn);\n  }\n\n  /**\n   * Convert UI message parts to step content\n   */\n  private static convertPartsToContent(\n    parts: AIV5Type.UIMessage['parts'],\n    stepId: string,\n    stepContentFn: (message?: AIV5Type.ModelMessage) => AIV5Type.StepResult<any>['content'],\n  ): AIV5Type.StepResult<any>['content'] {\n    const stepUiMessages: AIV5Type.UIMessage[] = [\n      {\n        id: stepId,\n        role: 'assistant',\n        parts,\n      },\n    ];\n\n    const modelMessages = AIV5.convertToModelMessages(sanitizeV5UIMessages(stepUiMessages));\n    return modelMessages.flatMap(stepContentFn);\n  }\n\n  /**\n   * Convert a single model message content to step result content\n   *\n   * This handles:\n   * - Tool results: adding input field from DB messages\n   * - Files: converting to GeneratedFile format\n   * - Images: converting to file format with proper media type\n   * - Other content: passed through as-is\n   *\n   * @param message - Model message to convert (or undefined to use latest)\n   * @param dbMessages - Database messages for looking up tool call args\n   * @param getLatestMessage - Function to get the latest model message if not provided\n   */\n  static convertToStepContent(\n    message: AIV5Type.ModelMessage | undefined,\n    dbMessages: MastraDBMessage[],\n    getLatestMessage: () => AIV5Type.ModelMessage | undefined,\n  ): AIV5Type.StepResult<any>['content'] {\n    const latest = message ? message : getLatestMessage();\n    if (!latest) return [];\n\n    if (typeof latest.content === 'string') {\n      return [{ type: 'text', text: latest.content }];\n    }\n\n    return latest.content.map(c => {\n      if (c.type === 'tool-result') {\n        return {\n          type: 'tool-result',\n          input: findToolCallArgs(dbMessages, c.toolCallId),\n          output: c.output,\n          toolCallId: c.toolCallId,\n          toolName: c.toolName,\n        } satisfies AIV5Type.StaticToolResult<any>;\n      }\n\n      if (c.type === 'file') {\n        return {\n          type: 'file',\n          file: new DefaultGeneratedFileWithType({\n            data:\n              typeof c.data === 'string'\n                ? parseDataUri(c.data).base64Content // Strip data URI prefix if present\n                : c.data instanceof URL\n                  ? c.data.toString()\n                  : convertDataContentToBase64String(c.data),\n            mediaType: c.mediaType,\n          }),\n        } satisfies Extract<AIV5Type.StepResult<any>['content'][number], { type: 'file' }>;\n      }\n\n      if (c.type === 'image') {\n        return {\n          type: 'file',\n          file: new DefaultGeneratedFileWithType({\n            data:\n              typeof c.image === 'string'\n                ? parseDataUri(c.image).base64Content // Strip data URI prefix if present\n                : c.image instanceof URL\n                  ? c.image.toString()\n                  : convertDataContentToBase64String(c.image),\n            mediaType: c.mediaType || 'unknown',\n          }),\n        };\n      }\n\n      return { ...c };\n    });\n  }\n}\n","import { CacheKeyGenerator } from '../cache/CacheKeyGenerator';\nimport type { MastraDBMessage, MastraMessageContentV2 } from '../state/types';\nimport { stampPart } from '../utils/stamp-part';\n\n/**\n * MessageMerger - Handles complex logic for merging assistant messages\n *\n * When streaming responses from LLMs, we often receive multiple messages that need to be\n * merged together:\n * - Tool calls that need to be updated with their results\n * - Text parts that need to be appended\n * - Step-start markers that need to be inserted\n *\n * This class encapsulates all the complex merging logic that was previously spread\n * throughout the MessageList.addOne method.\n */\nexport class MessageMerger {\n  /**\n   * Check if a message is sealed (should not be merged into).\n   * Messages are sealed after observation to preserve observation markers.\n   */\n  static isSealed(message: MastraDBMessage): boolean {\n    const metadata = message.content?.metadata as { mastra?: { sealed?: boolean } } | undefined;\n    return metadata?.mastra?.sealed === true;\n  }\n\n  /**\n   * Check if we should merge an incoming message with the latest message\n   *\n   * @param latestMessage - The most recent message in the list\n   * @param incomingMessage - The message being added\n   * @param messageSource - The source of the incoming message ('memory', 'input', 'response', 'context')\n   * @param isLatestFromMemory - Whether the latest message is from memory\n   * @param agentNetworkAppend - Whether agent network append mode is enabled\n   */\n\n  static shouldMerge(\n    latestMessage: MastraDBMessage | undefined,\n    incomingMessage: MastraDBMessage,\n    messageSource: string,\n    isLatestFromMemory: boolean,\n    agentNetworkAppend: boolean = false,\n  ): boolean {\n    if (!latestMessage) return false;\n\n    // Don't merge into sealed messages (e.g., messages that have been observed)\n    if (MessageMerger.isSealed(latestMessage)) return false;\n\n    if (\n      (latestMessage.content?.metadata as { mastra?: { responseBoundary?: boolean } } | undefined)?.mastra\n        ?.responseBoundary\n    ) {\n      return false;\n    }\n\n    // Don't merge completion result message (network uses completionResult, supervisor uses isTaskCompleteResult)\n    if (\n      incomingMessage.content.metadata?.completionResult ||\n      latestMessage.content.metadata?.completionResult ||\n      incomingMessage.content.metadata?.isTaskCompleteResult ||\n      latestMessage.content.metadata?.isTaskCompleteResult\n    ) {\n      return false;\n    }\n\n    const latestParts = latestMessage.content?.parts ?? [];\n    const latestOnlyHasDataParts = latestParts.length > 0 && latestParts.every(part => part.type.startsWith('data-'));\n    if (latestOnlyHasDataParts && latestMessage.id !== incomingMessage.id) {\n      return false;\n    }\n\n    // Basic merge conditions: both messages must be assistant messages from the same thread\n    const shouldAppendToLastAssistantMessage =\n      latestMessage.role === 'assistant' &&\n      incomingMessage.role === 'assistant' &&\n      latestMessage.threadId === incomingMessage.threadId &&\n      // If the message is from memory, don't append to the last assistant message\n      messageSource !== 'memory';\n\n    // Agent network append flag handling\n    // When enabled, only merge if the latest message is NOT from memory\n    const appendNetworkMessage = agentNetworkAppend ? !isLatestFromMemory : true;\n\n    return shouldAppendToLastAssistantMessage && appendNetworkMessage;\n  }\n\n  /**\n   * Merge an incoming assistant message into the latest assistant message.\n   *\n   * This preserves the existing message-level createdAt. OM uses that timestamp\n   * as its observation boundary, so moving it forward can make an already\n   * observed message look unobserved and eligible for reprocessing.\n   *\n   * This handles:\n   * - Updating tool invocations with their results\n   * - Adding new parts in the correct order using anchor maps\n   * - Inserting step-start markers where needed\n   * - Updating content strings\n   */\n  static merge(latestMessage: MastraDBMessage, incomingMessage: MastraDBMessage): void {\n    if (incomingMessage.content.metadata) {\n      latestMessage.content.metadata = {\n        ...(latestMessage.content.metadata ?? {}),\n        ...incomingMessage.content.metadata,\n      };\n    }\n\n    // Used for mapping indexes for incomingMessage parts to corresponding indexes in latestMessage\n    const toolResultAnchorMap = new Map<number, number>();\n    const partsToAdd = new Map<number, MastraMessageContentV2['parts'][number]>();\n\n    for (const [index, part] of incomingMessage.content.parts.entries()) {\n      // If the incoming part is a tool-invocation result, find the corresponding call in the latest message\n      if (part.type === 'tool-invocation') {\n        if (!part.toolInvocation) continue;\n        const existingCallPart = [...latestMessage.content.parts]\n          .reverse()\n          .find(p => p.type === 'tool-invocation' && p.toolInvocation?.toolCallId === part.toolInvocation.toolCallId);\n\n        const existingCallToolInvocation = !!existingCallPart && existingCallPart.type === 'tool-invocation';\n\n        if (existingCallToolInvocation) {\n          if (part.toolInvocation.state === 'result') {\n            // Update the existing tool-call part with the result\n            existingCallPart.toolInvocation = {\n              ...existingCallPart.toolInvocation,\n              step: part.toolInvocation.step,\n              state: 'result',\n              result: part.toolInvocation.result,\n              args: {\n                ...existingCallPart.toolInvocation.args,\n                ...part.toolInvocation.args,\n              },\n            };\n            // Preserve providerMetadata from the result part (e.g. toModelOutput stored at mastra.modelOutput)\n            if (part.providerMetadata) {\n              existingCallPart.providerMetadata = {\n                ...existingCallPart.providerMetadata,\n                ...part.providerMetadata,\n              };\n            }\n            if (!latestMessage.content.toolInvocations) {\n              latestMessage.content.toolInvocations = [];\n            }\n            const toolInvocationIndex = latestMessage.content.toolInvocations.findIndex(\n              t => t.toolCallId === existingCallPart.toolInvocation.toolCallId,\n            );\n            if (toolInvocationIndex === -1) {\n              latestMessage.content.toolInvocations.push(\n                existingCallPart.toolInvocation as NonNullable<MastraDBMessage['content']['toolInvocations']>[number],\n              );\n            } else {\n              latestMessage.content.toolInvocations[toolInvocationIndex] =\n                existingCallPart.toolInvocation as NonNullable<MastraDBMessage['content']['toolInvocations']>[number];\n            }\n          } else if (\n            part.toolInvocation.state === 'approval-requested' ||\n            part.toolInvocation.state === 'approval-responded' ||\n            part.toolInvocation.state === 'output-denied' ||\n            part.toolInvocation.state === 'output-error'\n          ) {\n            existingCallPart.toolInvocation = {\n              ...existingCallPart.toolInvocation,\n              state: part.toolInvocation.state,\n              approval: part.toolInvocation.approval,\n              errorText: part.toolInvocation.errorText,\n              rawInput: part.toolInvocation.rawInput,\n              args: {\n                ...existingCallPart.toolInvocation.args,\n                ...part.toolInvocation.args,\n              },\n            };\n\n            if (part.providerMetadata) {\n              existingCallPart.providerMetadata = {\n                ...existingCallPart.providerMetadata,\n                ...part.providerMetadata,\n              };\n            }\n\n            if ('providerExecuted' in part && part.providerExecuted !== undefined) {\n              existingCallPart.providerExecuted = part.providerExecuted;\n            }\n\n            if ('title' in part && part.title !== undefined) {\n              existingCallPart.title = part.title;\n            }\n\n            if ('preliminary' in part && part.preliminary !== undefined) {\n              existingCallPart.preliminary = part.preliminary;\n            }\n          }\n          // Map the index of the tool call in incomingMessage to the index of the tool call in latestMessage\n          const existingIndex = latestMessage.content.parts.findIndex(p => p === existingCallPart);\n          toolResultAnchorMap.set(index, existingIndex);\n          // Otherwise we do nothing, as we're not updating the tool call\n        } else {\n          partsToAdd.set(index, part);\n        }\n      } else {\n        partsToAdd.set(index, part);\n      }\n    }\n\n    MessageMerger.addPartsToMessage({\n      latestMessage,\n      incomingMessage,\n      anchorMap: toolResultAnchorMap,\n      partsToAdd,\n    });\n\n    if (!latestMessage.content.content && incomingMessage.content.content) {\n      latestMessage.content.content = incomingMessage.content.content;\n    }\n    if (\n      latestMessage.content.content &&\n      incomingMessage.content.content &&\n      latestMessage.content.content !== incomingMessage.content.content\n    ) {\n      // Match what AI SDK does - content string is always the latest text part.\n      latestMessage.content.content = incomingMessage.content.content;\n    }\n  }\n\n  /**\n   * Add parts from the incoming message to the latest message using anchor positions\n   */\n  private static addPartsToMessage({\n    latestMessage,\n    incomingMessage,\n    anchorMap,\n    partsToAdd,\n  }: {\n    latestMessage: MastraDBMessage;\n    incomingMessage: MastraDBMessage;\n    anchorMap: Map<number, number>;\n    partsToAdd: Map<number, MastraMessageContentV2['parts'][number]>;\n  }): void {\n    // Walk through incomingMessage, inserting any part not present at the canonical position\n    for (let i = 0; i < incomingMessage.content.parts.length; ++i) {\n      const part = incomingMessage.content.parts[i];\n      if (!part) continue;\n      const key = CacheKeyGenerator.fromDBParts([part]);\n      const partToAdd = partsToAdd.get(i);\n      if (!key || !partToAdd) continue;\n      if (anchorMap.size > 0) {\n        if (anchorMap.has(i)) continue; // skip anchors\n        // Find left anchor in incomingMessage\n        const leftAnchorV2 = [...anchorMap.keys()].filter(idx => idx < i).pop() ?? -1;\n        // Find right anchor in incomingMessage\n        const rightAnchorV2 = [...anchorMap.keys()].find(idx => idx > i) ?? -1;\n\n        // Map to latestMessage\n        const leftAnchorLatest = leftAnchorV2 !== -1 ? anchorMap.get(leftAnchorV2)! : 0;\n\n        // Compute offset from anchor\n        const offset = leftAnchorV2 === -1 ? i : i - leftAnchorV2;\n\n        // Insert at proportional position\n        const insertAt = leftAnchorLatest + offset;\n\n        const rightAnchorLatest =\n          rightAnchorV2 !== -1 ? anchorMap.get(rightAnchorV2)! : latestMessage.content.parts.length;\n\n        if (\n          insertAt >= 0 &&\n          insertAt <= rightAnchorLatest &&\n          !latestMessage.content.parts\n            .slice(insertAt, rightAnchorLatest)\n            .some(p => CacheKeyGenerator.fromDBParts([p]) === CacheKeyGenerator.fromDBParts([part]))\n        ) {\n          MessageMerger.pushNewPart({\n            latestMessage,\n            newMessage: incomingMessage,\n            part,\n            insertAt,\n          });\n          for (const [v2Idx, latestIdx] of anchorMap.entries()) {\n            if (latestIdx >= insertAt) {\n              anchorMap.set(v2Idx, latestIdx + 1);\n            }\n          }\n        }\n      } else {\n        MessageMerger.pushNewPart({\n          latestMessage,\n          newMessage: incomingMessage,\n          part,\n        });\n      }\n    }\n  }\n\n  /**\n   * Push a new message part to the latest message\n   */\n  private static pushNewPart({\n    latestMessage,\n    newMessage,\n    part,\n    insertAt,\n  }: {\n    latestMessage: MastraDBMessage;\n    newMessage: MastraDBMessage;\n    part: MastraMessageContentV2['parts'][number];\n    insertAt?: number;\n  }): void {\n    const partKey = CacheKeyGenerator.fromDBParts([part]);\n    const latestPartCount = latestMessage.content.parts.filter(\n      p => CacheKeyGenerator.fromDBParts([p]) === partKey,\n    ).length;\n    const newPartCount = newMessage.content.parts.filter(p => CacheKeyGenerator.fromDBParts([p]) === partKey).length;\n    // If the number of parts in the latest message is less than the number of parts in the new message, insert the part\n    if (latestPartCount < newPartCount) {\n      // Check if we need to add a step-start before text parts when merging assistant messages\n      // Only add after tool invocations, and only if the incoming message doesn't already have step-start\n      const partIndex = newMessage.content.parts.indexOf(part);\n      const hasStepStartBefore = partIndex > 0 && newMessage.content.parts[partIndex - 1]?.type === 'step-start';\n\n      const needsStepStart =\n        latestMessage.role === 'assistant' &&\n        part.type === 'text' &&\n        !hasStepStartBefore &&\n        latestMessage.content.parts.length > 0 &&\n        latestMessage.content.parts.at(-1)?.type === 'tool-invocation';\n\n      const previousStepStart = [...latestMessage.content.parts].reverse().find(p => p.type === 'step-start');\n      const stepStartPart = previousStepStart?.model\n        ? stampPart({\n            type: 'step-start' as const,\n            model: previousStepStart.model,\n          })\n        : ({ type: 'step-start' as const } as MastraMessageContentV2['parts'][number]);\n\n      if (typeof insertAt === 'number') {\n        if (needsStepStart) {\n          latestMessage.content.parts.splice(insertAt, 0, stepStartPart);\n          latestMessage.content.parts.splice(insertAt + 1, 0, part);\n        } else {\n          latestMessage.content.parts.splice(insertAt, 0, part);\n        }\n      } else {\n        if (needsStepStart) {\n          latestMessage.content.parts.push(stepStartPart);\n        }\n        latestMessage.content.parts.push(part);\n      }\n    }\n  }\n}\n","import type { LanguageModelV2DataContent } from '@ai-sdk/provider-v5';\nimport type { DataContent } from '@internal/ai-sdk-v5';\nimport { ErrorCategory, ErrorDomain, MastraError } from '../../../../error';\n\nfunction splitDataUrl(dataUrl: string): {\n  mediaType: string | undefined;\n  base64Content: string | undefined;\n} {\n  try {\n    const [header, base64Content] = dataUrl.split(',');\n    return {\n      mediaType: header?.split(';')[0]?.split(':')[1],\n      base64Content,\n    };\n  } catch {\n    return {\n      mediaType: undefined,\n      base64Content: undefined,\n    };\n  }\n}\n\nexport function convertToDataContent(content: DataContent | URL): {\n  data: LanguageModelV2DataContent;\n  mediaType: string | undefined;\n} {\n  // Buffer & Uint8Array:\n  if (content instanceof Uint8Array) {\n    return { data: content, mediaType: undefined };\n  }\n\n  // ArrayBuffer needs conversion to Uint8Array (lightweight):\n  if (content instanceof ArrayBuffer) {\n    return { data: new Uint8Array(content), mediaType: undefined };\n  }\n\n  // Attempt to create a URL from the data. If it fails, we can assume the data\n  // is not a URL and likely some other sort of data.\n  if (typeof content === 'string') {\n    try {\n      content = new URL(content);\n    } catch {\n      // ignored\n    }\n  }\n\n  // Extract data from data URL:\n  if (content instanceof URL && content.protocol === 'data:') {\n    const { mediaType: dataUrlMediaType, base64Content } = splitDataUrl(content.toString());\n\n    if (dataUrlMediaType == null || base64Content == null) {\n      throw new MastraError({\n        id: 'INVALID_DATA_URL_FORMAT',\n        text: `Invalid data URL format in content ${content.toString()}`,\n        domain: ErrorDomain.LLM,\n        category: ErrorCategory.USER,\n      });\n    }\n\n    return { data: base64Content, mediaType: dataUrlMediaType };\n  }\n\n  return { data: content, mediaType: undefined };\n}\n","import { convertBase64ToUint8Array } from '@ai-sdk/provider-utils-v5';\n\nexport const imageMediaTypeSignatures = [\n  {\n    mediaType: 'image/gif' as const,\n    bytesPrefix: [0x47, 0x49, 0x46],\n    base64Prefix: 'R0lG',\n  },\n  {\n    mediaType: 'image/png' as const,\n    bytesPrefix: [0x89, 0x50, 0x4e, 0x47],\n    base64Prefix: 'iVBORw',\n  },\n  {\n    mediaType: 'image/jpeg' as const,\n    bytesPrefix: [0xff, 0xd8],\n    base64Prefix: '/9j/',\n  },\n  {\n    mediaType: 'image/webp' as const,\n    bytesPrefix: [0x52, 0x49, 0x46, 0x46],\n    base64Prefix: 'UklGRg',\n  },\n  {\n    mediaType: 'image/bmp' as const,\n    bytesPrefix: [0x42, 0x4d],\n    base64Prefix: 'Qk',\n  },\n  {\n    mediaType: 'image/tiff' as const,\n    bytesPrefix: [0x49, 0x49, 0x2a, 0x00],\n    base64Prefix: 'SUkqAA',\n  },\n  {\n    mediaType: 'image/tiff' as const,\n    bytesPrefix: [0x4d, 0x4d, 0x00, 0x2a],\n    base64Prefix: 'TU0AKg',\n  },\n  {\n    mediaType: 'image/avif' as const,\n    bytesPrefix: [0x00, 0x00, 0x00, 0x20, 0x66, 0x74, 0x79, 0x70, 0x61, 0x76, 0x69, 0x66],\n    base64Prefix: 'AAAAIGZ0eXBhdmlm',\n  },\n  {\n    mediaType: 'image/heic' as const,\n    bytesPrefix: [0x00, 0x00, 0x00, 0x20, 0x66, 0x74, 0x79, 0x70, 0x68, 0x65, 0x69, 0x63],\n    base64Prefix: 'AAAAIGZ0eXBoZWlj',\n  },\n] as const;\n\nexport const audioMediaTypeSignatures = [\n  {\n    mediaType: 'audio/mpeg' as const,\n    bytesPrefix: [0xff, 0xfb],\n    base64Prefix: '//s=',\n  },\n  {\n    mediaType: 'audio/mpeg' as const,\n    bytesPrefix: [0xff, 0xfa],\n    base64Prefix: '//o=',\n  },\n  {\n    mediaType: 'audio/mpeg' as const,\n    bytesPrefix: [0xff, 0xf3],\n    base64Prefix: '//M=',\n  },\n  {\n    mediaType: 'audio/mpeg' as const,\n    bytesPrefix: [0xff, 0xf2],\n    base64Prefix: '//I=',\n  },\n  {\n    mediaType: 'audio/mpeg' as const,\n    bytesPrefix: [0xff, 0xe3],\n    base64Prefix: '/+M=',\n  },\n  {\n    mediaType: 'audio/mpeg' as const,\n    bytesPrefix: [0xff, 0xe2],\n    base64Prefix: '/+I=',\n  },\n  {\n    mediaType: 'audio/wav' as const,\n    bytesPrefix: [0x52, 0x49, 0x46, 0x46],\n    base64Prefix: 'UklGR',\n  },\n  {\n    mediaType: 'audio/ogg' as const,\n    bytesPrefix: [0x4f, 0x67, 0x67, 0x53],\n    base64Prefix: 'T2dnUw',\n  },\n  {\n    mediaType: 'audio/flac' as const,\n    bytesPrefix: [0x66, 0x4c, 0x61, 0x43],\n    base64Prefix: 'ZkxhQw',\n  },\n  {\n    mediaType: 'audio/aac' as const,\n    bytesPrefix: [0x40, 0x15, 0x00, 0x00],\n    base64Prefix: 'QBUA',\n  },\n  {\n    mediaType: 'audio/mp4' as const,\n    bytesPrefix: [0x66, 0x74, 0x79, 0x70],\n    base64Prefix: 'ZnR5cA',\n  },\n  {\n    mediaType: 'audio/webm',\n    bytesPrefix: [0x1a, 0x45, 0xdf, 0xa3],\n    base64Prefix: 'GkXf',\n  },\n] as const;\n\nconst stripID3 = (data: Uint8Array | string) => {\n  const bytes = typeof data === 'string' ? convertBase64ToUint8Array(data) : data;\n  const id3Size =\n    // @ts-expect-error - bytes array access\n    ((bytes[6] & 0x7f) << 21) |\n    // @ts-expect-error - bytes array access\n    ((bytes[7] & 0x7f) << 14) |\n    // @ts-expect-error - bytes array access\n    ((bytes[8] & 0x7f) << 7) |\n    // @ts-expect-error - bytes array access\n    (bytes[9] & 0x7f);\n\n  // The raw MP3 starts here\n  return bytes.slice(id3Size + 10);\n};\n\nfunction stripID3TagsIfPresent(data: Uint8Array | string): Uint8Array | string {\n  const hasId3 =\n    (typeof data === 'string' && data.startsWith('SUQz')) ||\n    (typeof data !== 'string' &&\n      data.length > 10 &&\n      data[0] === 0x49 && // 'I'\n      data[1] === 0x44 && // 'D'\n      data[2] === 0x33); // '3'\n\n  return hasId3 ? stripID3(data) : data;\n}\n\nexport function detectMediaType({\n  data,\n  signatures,\n}: {\n  data: Uint8Array | string;\n  signatures: typeof audioMediaTypeSignatures | typeof imageMediaTypeSignatures;\n}): (typeof signatures)[number]['mediaType'] | undefined {\n  const processedData = stripID3TagsIfPresent(data);\n\n  for (const signature of signatures) {\n    if (\n      typeof processedData === 'string'\n        ? processedData.startsWith(signature.base64Prefix)\n        : processedData.length >= signature.bytesPrefix.length &&\n          signature.bytesPrefix.every((byte, index) => processedData[index] === byte)\n    ) {\n      return signature.mediaType;\n    }\n  }\n\n  return undefined;\n}\n","import type { DataContent, ImagePart, FilePart } from '@ai-sdk/provider-utils-v5';\nimport type { LanguageModelV2FilePart, LanguageModelV2TextPart } from '@ai-sdk/provider-v5';\nimport { convertToDataContent, detectMediaType, imageMediaTypeSignatures } from '../../../stream/aisdk/v5/compat';\n\nexport function convertImageFilePart(\n  part: ImagePart | FilePart,\n  downloadedAssets?: Record<string, { mediaType: string | undefined; data: Uint8Array }>,\n): LanguageModelV2TextPart | LanguageModelV2FilePart {\n  let originalData: DataContent | URL;\n  const type = part.type;\n  switch (type) {\n    case 'image':\n      originalData = part.image;\n      break;\n    case 'file':\n      originalData = part.data;\n\n      break;\n    default:\n      throw new Error(`Unsupported part type: ${type}`);\n  }\n\n  const { data: convertedData, mediaType: convertedMediaType } = convertToDataContent(originalData);\n\n  let mediaType: string | undefined = convertedMediaType ?? part.mediaType;\n  let data: Uint8Array | string | URL = convertedData; // binary | base64 | url\n\n  // If the content is a URL, we check if it was downloaded:\n  if (data instanceof URL && downloadedAssets) {\n    const downloadedFile = downloadedAssets[data.toString()];\n    if (downloadedFile) {\n      data = downloadedFile.data;\n      mediaType ??= downloadedFile.mediaType;\n    }\n  }\n\n  // Now that we have the normalized data either as a URL or a Uint8Array,\n  // we can create the LanguageModelV2Part.\n  switch (type) {\n    case 'image': {\n      // When possible, try to detect the media type automatically\n      // to deal with incorrect media type inputs.\n      // When detection fails, use provided media type.\n      if (data instanceof Uint8Array || typeof data === 'string') {\n        mediaType = detectMediaType({ data, signatures: imageMediaTypeSignatures }) ?? mediaType;\n      }\n\n      return {\n        type: 'file',\n        mediaType: mediaType ?? 'image/*', // any image\n        filename: undefined,\n        data,\n        providerOptions: part.providerOptions,\n      };\n    }\n\n    case 'file': {\n      // We must have a mediaType for files, if not, throw an error.\n      if (mediaType == null) {\n        throw new Error(`Media type is missing for file part`);\n      }\n\n      return {\n        type: 'file',\n        mediaType,\n        filename: part.filename,\n        data,\n        providerOptions: part.providerOptions,\n      };\n    }\n  }\n}\n","import type { FilePart, ImagePart, TextPart, UIMessage } from '@internal/ai-sdk-v4';\nimport { categorizeFileData, createDataUri } from './image-utils';\n\ntype ContentPart = TextPart | ImagePart | FilePart;\nexport type Attachment = NonNullable<UIMessage['experimental_attachments']>[number];\n\n/**\n * Converts a list of attachments to a list of content parts\n * for consumption by `ai/core` functions.\n * Currently only supports images and text attachments.\n */\nexport function attachmentsToParts(attachments: Attachment[]): ContentPart[] {\n  const parts: ContentPart[] = [];\n\n  for (const attachment of attachments) {\n    // Categorize the attachment URL to determine if it's a URL, data URI, or raw base64\n    const categorized = categorizeFileData(attachment.url, attachment.contentType);\n\n    // If it's raw data (base64), convert it to a data URI\n    let urlString = attachment.url;\n    if (categorized.type === 'raw') {\n      urlString = createDataUri(attachment.url, attachment.contentType || 'application/octet-stream');\n    }\n\n    let url;\n    try {\n      url = new URL(urlString);\n    } catch {\n      throw new Error(`Invalid URL: ${attachment.url}`);\n    }\n\n    switch (url.protocol) {\n      case 'http:':\n      case 'https:':\n      // Cloud storage protocols supported by AI providers (e.g., Vertex AI for gs://, Bedrock for s3://)\n      case 'gs:':\n      case 's3:': {\n        if (attachment.contentType?.startsWith('image/')) {\n          parts.push({ type: 'image', image: url.toString(), mimeType: attachment.contentType });\n        } else {\n          if (!attachment.contentType) {\n            throw new Error('If the attachment is not an image, it must specify a content type');\n          }\n\n          parts.push({\n            type: 'file',\n            data: url.toString(),\n            mimeType: attachment.contentType,\n          });\n        }\n        break;\n      }\n\n      case 'data:': {\n        if (attachment.contentType?.startsWith('image/')) {\n          parts.push({\n            type: 'image',\n            image: urlString,\n            mimeType: attachment.contentType,\n          });\n        } else if (attachment.contentType?.startsWith('text/')) {\n          parts.push({\n            type: 'file',\n            data: urlString,\n            mimeType: attachment.contentType,\n          });\n        } else {\n          if (!attachment.contentType) {\n            throw new Error('If the attachment is not an image or text, it must specify a content type');\n          }\n\n          parts.push({\n            type: 'file',\n            data: urlString,\n            mimeType: attachment.contentType,\n          });\n        }\n\n        break;\n      }\n\n      default: {\n        throw new Error(`Unsupported URL protocol: ${url.protocol}`);\n      }\n    }\n  }\n\n  return parts;\n}\n","/**\n * This file is an adaptation of https://github.com/vercel/ai/blob/e14c066bf4d02c5ee2180c56a01fa0e5216bc582/packages/ai/core/prompt/convert-to-core-messages.ts\n * But has been modified to work with Mastra storage adapter messages (MastraMessageV1)\n */\nimport type { AssistantContent, ToolResultPart } from '@internal/ai-sdk-v4';\nimport type { MastraMessageV1 } from '../../../memory/types';\nimport type { MastraMessageContentV2, MastraDBMessage } from '../../message-list';\nimport { attachmentsToParts } from './attachments-to-parts';\n\nconst makePushOrCombine = (v1Messages: MastraMessageV1[]) => {\n  // Track how many times each ID has been used to create unique IDs for split messages\n  const idUsageCount = new Map<string, number>();\n\n  // Pattern to detect if an ID already has our split suffix\n  const SPLIT_SUFFIX_PATTERN = /__split-\\d+$/;\n\n  return (msg: MastraMessageV1) => {\n    const previousMessage = v1Messages.at(-1);\n    if (\n      msg.role === previousMessage?.role &&\n      Array.isArray(previousMessage.content) &&\n      Array.isArray(msg.content) &&\n      // we were creating new messages for tool calls before and not appending to the assistant message\n      // so don't append here so everything works as before\n      (msg.role !== `assistant` || (msg.role === `assistant` && msg.content.at(-1)?.type !== `tool-call`))\n    ) {\n      for (const part of msg.content) {\n        // @ts-expect-error needs type gymnastics? msg.content and previousMessage.content are the same type here since both are arrays\n        previousMessage.content.push(part);\n      }\n    } else {\n      // When pushing a new message, check if we need to deduplicate the ID\n      let baseId = msg.id;\n\n      // Check if this ID already has a split suffix and extract the base ID\n      const hasSplitSuffix = SPLIT_SUFFIX_PATTERN.test(baseId);\n      if (hasSplitSuffix) {\n        // This ID already has a split suffix, don't add another one\n        v1Messages.push(msg);\n        return;\n      }\n\n      const currentCount = idUsageCount.get(baseId) || 0;\n\n      // If we've seen this ID before, append our unique split suffix\n      if (currentCount > 0) {\n        msg.id = `${baseId}__split-${currentCount}`;\n      }\n\n      // Increment the usage count for this base ID\n      idUsageCount.set(baseId, currentCount + 1);\n\n      v1Messages.push(msg);\n    }\n  };\n};\nexport function convertToV1Messages(messages: Array<MastraDBMessage>) {\n  const v1Messages: MastraMessageV1[] = [];\n  const pushOrCombine = makePushOrCombine(v1Messages);\n\n  for (let i = 0; i < messages.length; i++) {\n    const message = messages[i];\n    const isLastMessage = i === messages.length - 1;\n    if (!message?.content) continue;\n    const { content, experimental_attachments: inputAttachments = [], parts: inputParts } = message.content;\n    const { role } = message;\n\n    const fields = {\n      id: message.id,\n      createdAt: message.createdAt,\n      resourceId: message.resourceId!,\n      threadId: message.threadId!,\n    };\n\n    const experimental_attachments = [...inputAttachments];\n    const parts: typeof inputParts = [];\n    for (const part of inputParts) {\n      if (part.type === 'file') {\n        experimental_attachments.push({\n          url: part.data,\n          contentType: part.mimeType,\n        });\n      } else {\n        parts.push(part);\n      }\n    }\n\n    switch (role) {\n      case 'user': {\n        if (parts == null) {\n          const userContent = experimental_attachments\n            ? [{ type: 'text', text: content || '' }, ...attachmentsToParts(experimental_attachments)]\n            : { type: 'text', text: content || '' };\n          pushOrCombine({\n            role: 'user',\n            ...fields,\n            type: 'text',\n            // @ts-expect-error - content type mismatch in conversion\n            content: userContent,\n          });\n        } else {\n          const textParts = message.content.parts\n            .filter(part => part.type === 'text')\n            .map(part => ({\n              type: 'text' as const,\n              text: part.text,\n            }));\n\n          const userContent = experimental_attachments\n            ? [...textParts, ...attachmentsToParts(experimental_attachments)]\n            : textParts;\n          pushOrCombine({\n            role: 'user',\n            ...fields,\n            type: 'text',\n            content:\n              Array.isArray(userContent) &&\n              userContent.length === 1 &&\n              userContent[0]?.type === `text` &&\n              typeof content !== `undefined`\n                ? content\n                : userContent,\n          });\n        }\n        break;\n      }\n\n      case 'assistant': {\n        if (message.content.parts != null) {\n          let currentStep = 0;\n          let blockHasToolInvocations = false;\n          let block: MastraMessageContentV2['parts'] = [];\n\n          function processBlock() {\n            const content: AssistantContent = [];\n\n            for (const part of block) {\n              switch (part.type) {\n                case 'file':\n                case 'text': {\n                  content.push(part);\n                  break;\n                }\n                case 'reasoning': {\n                  for (const detail of part.details) {\n                    switch (detail.type) {\n                      case 'text':\n                        content.push({\n                          type: 'reasoning' as const,\n                          text: detail.text,\n                          signature: detail.signature,\n                        });\n                        break;\n                      case 'redacted':\n                        content.push({\n                          type: 'redacted-reasoning' as const,\n                          data: detail.data,\n                        });\n                        break;\n                    }\n                  }\n                  break;\n                }\n                case 'tool-invocation':\n                  // Skip updateWorkingMemory tool calls as they should not be visible in history\n                  if (part.toolInvocation.toolName !== 'updateWorkingMemory') {\n                    content.push({\n                      type: 'tool-call' as const,\n                      toolCallId: part.toolInvocation.toolCallId,\n                      toolName: part.toolInvocation.toolName,\n                      args: part.toolInvocation.args,\n                    });\n                  }\n                  break;\n              }\n            }\n\n            pushOrCombine({\n              role: 'assistant',\n              ...fields,\n              type: content.some(c => c.type === `tool-call`) ? 'tool-call' : 'text',\n              content:\n                typeof content !== `string` &&\n                Array.isArray(content) &&\n                content.length === 1 &&\n                content[0]?.type === `text`\n                  ? content[0].text\n                  : content,\n            });\n\n            // check if there are tool invocations with results in the block\n            const stepInvocations = block\n              .filter(part => `type` in part && part.type === 'tool-invocation')\n              .map(part => part.toolInvocation)\n              .filter(ti => ti.toolName !== 'updateWorkingMemory');\n\n            // Only create tool-result message if there are actual results\n            const invocationsWithResults = stepInvocations.filter(ti => ti.state === 'result' && 'result' in ti);\n\n            if (invocationsWithResults.length > 0) {\n              pushOrCombine({\n                role: 'tool',\n                ...fields,\n                type: 'tool-result',\n                content: invocationsWithResults.map((toolInvocation): ToolResultPart => {\n                  const { toolCallId, toolName, result } = toolInvocation;\n                  return {\n                    type: 'tool-result',\n                    toolCallId,\n                    toolName,\n                    result,\n                  };\n                }),\n              });\n            }\n\n            // updates for next block\n            block = [];\n            blockHasToolInvocations = false;\n            currentStep++;\n          }\n\n          for (const part of message.content.parts) {\n            switch (part.type) {\n              case 'text': {\n                if (blockHasToolInvocations) {\n                  processBlock(); // text must come after tool invocations\n                }\n                block.push(part);\n                break;\n              }\n              case 'file':\n              case 'reasoning': {\n                block.push(part);\n                break;\n              }\n              case 'tool-invocation': {\n                // If we have non-tool content (text/file/reasoning) in the block, process it first\n                const hasNonToolContent = block.some(\n                  p => p.type === 'text' || p.type === 'file' || p.type === 'reasoning',\n                );\n                if (hasNonToolContent || (part.toolInvocation.step ?? 0) !== currentStep) {\n                  processBlock();\n                }\n                block.push(part);\n                blockHasToolInvocations = true;\n                break;\n              }\n            }\n          }\n\n          processBlock();\n\n          // Check if there are toolInvocations that weren't processed from parts\n          const toolInvocations = message.content.toolInvocations;\n          if (toolInvocations && toolInvocations.length > 0) {\n            // Find tool invocations that weren't already processed from parts\n            const processedToolCallIds = new Set<string>();\n            for (const part of message.content.parts) {\n              if (part.type === 'tool-invocation' && part.toolInvocation.toolCallId) {\n                processedToolCallIds.add(part.toolInvocation.toolCallId);\n              }\n            }\n\n            const unprocessedToolInvocations = toolInvocations.filter(\n              ti => !processedToolCallIds.has(ti.toolCallId) && ti.toolName !== 'updateWorkingMemory',\n            );\n\n            if (unprocessedToolInvocations.length > 0) {\n              // Group by step, handling undefined steps\n              const invocationsByStep = new Map<number, typeof unprocessedToolInvocations>();\n\n              for (const inv of unprocessedToolInvocations) {\n                const step = inv.step ?? 0;\n                if (!invocationsByStep.has(step)) {\n                  invocationsByStep.set(step, []);\n                }\n                invocationsByStep.get(step)!.push(inv);\n              }\n\n              // Process each step\n              const sortedSteps = Array.from(invocationsByStep.keys()).sort((a, b) => a - b);\n\n              for (const step of sortedSteps) {\n                const stepInvocations = invocationsByStep.get(step)!;\n\n                // Create tool-call message for all invocations (calls and results)\n                pushOrCombine({\n                  role: 'assistant',\n                  ...fields,\n                  type: 'tool-call',\n                  content: [\n                    ...stepInvocations.map(({ toolCallId, toolName, args }) => ({\n                      type: 'tool-call' as const,\n                      toolCallId,\n                      toolName,\n                      args,\n                    })),\n                  ],\n                });\n\n                // Only create tool-result message if there are actual results\n                const invocationsWithResults = stepInvocations.filter(ti => ti.state === 'result' && 'result' in ti);\n\n                if (invocationsWithResults.length > 0) {\n                  pushOrCombine({\n                    role: 'tool',\n                    ...fields,\n                    type: 'tool-result',\n                    content: invocationsWithResults.map((toolInvocation): ToolResultPart => {\n                      const { toolCallId, toolName, result } = toolInvocation;\n                      return {\n                        type: 'tool-result',\n                        toolCallId,\n                        toolName,\n                        result,\n                      };\n                    }),\n                  });\n                }\n              }\n            }\n          }\n\n          break;\n        }\n\n        const toolInvocations = message.content.toolInvocations;\n\n        if (toolInvocations == null || toolInvocations.length === 0) {\n          pushOrCombine({ role: 'assistant', ...fields, content: content || '', type: 'text' });\n          break;\n        }\n\n        const maxStep = toolInvocations.reduce((max, toolInvocation) => {\n          return Math.max(max, toolInvocation.step ?? 0);\n        }, 0);\n\n        for (let i = 0; i <= maxStep; i++) {\n          const stepInvocations = toolInvocations.filter(\n            toolInvocation => (toolInvocation.step ?? 0) === i && toolInvocation.toolName !== 'updateWorkingMemory',\n          );\n\n          if (stepInvocations.length === 0) {\n            continue;\n          }\n\n          // assistant message with tool calls\n          pushOrCombine({\n            role: 'assistant',\n            ...fields,\n            type: 'tool-call',\n            content: [\n              ...(isLastMessage && content && i === 0 ? [{ type: 'text' as const, text: content }] : []),\n              ...stepInvocations.map(({ toolCallId, toolName, args }) => ({\n                type: 'tool-call' as const,\n                toolCallId,\n                toolName,\n                args,\n              })),\n            ],\n          });\n\n          // Only create tool-result message if there are actual results\n          const invocationsWithResults = stepInvocations.filter(ti => ti.state === 'result' && 'result' in ti);\n\n          if (invocationsWithResults.length > 0) {\n            pushOrCombine({\n              role: 'tool',\n              ...fields,\n              type: 'tool-result',\n              content: invocationsWithResults.map((toolInvocation): ToolResultPart => {\n                const { toolCallId, toolName, result } = toolInvocation;\n                return {\n                  type: 'tool-result',\n                  toolCallId,\n                  toolName,\n                  result,\n                };\n              }),\n            });\n          }\n        }\n\n        if (content && !isLastMessage) {\n          pushOrCombine({ role: 'assistant', ...fields, type: 'text', content: content || '' });\n        }\n\n        break;\n      }\n    }\n  }\n\n  return v1Messages;\n}\n","import { isUrlSupported } from '@ai-sdk/provider-utils-v5';\nimport { ErrorCategory, ErrorDomain, MastraError } from '../../../error';\nimport { fetchWithRetry } from '../../../utils/fetchWithRetry';\nimport type { AIV5Type } from '../types';\n\n/**\n * Strip query string and fragment from a URL for inclusion in human-readable\n * error text. Signed-URL query params (e.g. AWS pre-signed `X-Amz-Signature`,\n * WhatsApp media tokens, GCS `X-Goog-Signature`) carry secrets that should not\n * land in logs — but the scheme, host, and path are still useful for diagnosis.\n *\n * The full, unredacted URL is preserved on `error.details.url` for callers that\n * need to react programmatically (e.g. matching a failing URL back to the\n * specific message part for recovery). Mirrors the project convention of\n * redacting at the human-facing log boundary while keeping structured fields\n * raw (see `SENSITIVE_KEYS` in `tools/validation.ts` and `redactHeaders` in\n * server config).\n */\nfunction redactUrlForLog(url: URL): string {\n  return `${url.origin}${url.pathname}`;\n}\n\nexport const downloadFromUrl = async ({ url, downloadRetries }: { url: URL; downloadRetries: number }) => {\n  const urlText = url.toString();\n  const safeUrl = redactUrlForLog(url);\n\n  try {\n    const response = await fetchWithRetry(\n      urlText,\n      {\n        method: 'GET',\n      },\n      downloadRetries,\n      {\n        shouldRetryResponse: response => response.status >= 500,\n      },\n    );\n\n    if (!response.ok) {\n      throw new MastraError({\n        id: 'DOWNLOAD_ASSETS_FAILED',\n        text: `Failed to download asset: ${safeUrl}`,\n        domain: ErrorDomain.LLM,\n        category: ErrorCategory.USER,\n        details: { url: urlText },\n      });\n    }\n    return {\n      data: new Uint8Array(await response.arrayBuffer()),\n      mediaType: response.headers.get('content-type') ?? undefined,\n    };\n  } catch (error) {\n    throw new MastraError(\n      {\n        id: 'DOWNLOAD_ASSETS_FAILED',\n        text: `Failed to download asset: ${safeUrl}`,\n        domain: ErrorDomain.LLM,\n        category: ErrorCategory.USER,\n        details: { url: urlText },\n      },\n      error,\n    );\n  }\n};\n\nexport async function downloadAssetsFromMessages({\n  messages,\n  downloadConcurrency = 10,\n  downloadRetries = 3,\n  supportedUrls,\n}: {\n  messages: AIV5Type.ModelMessage[];\n  downloadConcurrency?: number;\n  downloadRetries?: number;\n  supportedUrls?: Record<string, RegExp[]>;\n}) {\n  const pMap = (await import('p-map')).default;\n\n  const filesToDownload = messages\n    .filter(message => message.role === 'user')\n    .map(message => message.content)\n    .filter(content => Array.isArray(content))\n    .flat()\n    .filter(part => part.type === 'image' || part.type === 'file')\n    .map(part => {\n      const mediaType = part.mediaType ?? (part.type === 'image' ? 'image/*' : undefined);\n\n      let data = part.type === 'image' ? part.image : part.data;\n      if (typeof data === 'string') {\n        try {\n          data = new URL(data);\n        } catch {}\n      }\n\n      return { mediaType, data };\n    })\n\n    .filter((part): part is { mediaType: string | undefined; data: URL } => part.data instanceof URL)\n    .map(part => {\n      return {\n        url: part.data,\n        isUrlSupportedByModel:\n          part.mediaType != null &&\n          isUrlSupported({\n            url: part.data.toString(),\n            mediaType: part.mediaType,\n            supportedUrls: supportedUrls ?? {},\n          }),\n      };\n    });\n\n  const downloadedFiles = await pMap(\n    filesToDownload,\n    async fileItem => {\n      if (fileItem.isUrlSupportedByModel) {\n        return null;\n      }\n      return {\n        url: fileItem.url.toString(),\n        ...(await downloadFromUrl({ url: fileItem.url, downloadRetries })),\n      };\n    },\n    {\n      concurrency: downloadConcurrency,\n    },\n  );\n\n  const downloadFileList = downloadedFiles\n    .filter(\n      (\n        downloadedFile,\n      ): downloadedFile is {\n        url: string;\n        mediaType: string | undefined;\n        data: Uint8Array<ArrayBuffer>;\n      } => downloadedFile?.data != null,\n    )\n    .map(({ url, data, mediaType }) => [url, { data, mediaType }]);\n\n  return Object.fromEntries(downloadFileList);\n}\n","import type { MastraDBMessage } from './types';\n\n/**\n * Serialized form of a MastraDBMessage where Date is converted to string\n */\nexport type SerializedMessage = Omit<MastraDBMessage, 'createdAt'> & {\n  createdAt: string;\n};\n\n/**\n * Serialize a message by converting Date to string\n */\nexport function serializeMessage(message: MastraDBMessage): SerializedMessage {\n  return {\n    ...message,\n    createdAt: message.createdAt.toISOString(),\n  };\n}\n\n/**\n * Deserialize a message by converting string back to Date\n */\nexport function deserializeMessage(message: SerializedMessage): MastraDBMessage {\n  return {\n    ...message,\n    createdAt: new Date(message.createdAt),\n  } as MastraDBMessage;\n}\n\n/**\n * Serialize an array of messages\n */\nexport function serializeMessages(messages: MastraDBMessage[]): SerializedMessage[] {\n  return messages.map(serializeMessage);\n}\n\n/**\n * Deserialize an array of messages\n */\nexport function deserializeMessages(messages: SerializedMessage[]): MastraDBMessage[] {\n  return messages.map(deserializeMessage);\n}\n","import type { CoreSystemMessage } from '@internal/ai-sdk-v4';\n\nimport { serializeMessages, deserializeMessages } from './serialization';\nimport type { SerializedMessage } from './serialization';\nimport type { MastraDBMessage, MessageSource, MemoryInfo } from './types';\n\n// Re-export for backward compatibility\nexport type { MessageSource };\n\n/**\n * MessageStateManager - Manages the state of messages in a MessageList\n *\n * Handles:\n * - Tracking messages by their source (memory, input, response, context)\n * - Tracking which messages have been persisted\n * - Providing efficient lookups for message categorization\n *\n * This replaces the 8 Sets in the original MessageList with a more manageable interface.\n */\nexport class MessageStateManager {\n  // Messages tracked by source\n  private memoryMessages = new Set<MastraDBMessage>();\n  private newUserMessages = new Set<MastraDBMessage>();\n  private newResponseMessages = new Set<MastraDBMessage>();\n  private userContextMessages = new Set<MastraDBMessage>();\n\n  // Persisted message tracking\n  private memoryMessagesPersisted = new Set<MastraDBMessage>();\n  private newUserMessagesPersisted = new Set<MastraDBMessage>();\n  private newResponseMessagesPersisted = new Set<MastraDBMessage>();\n  private userContextMessagesPersisted = new Set<MastraDBMessage>();\n\n  /**\n   * Add a message to the appropriate source set and persisted set\n   */\n  addToSource(message: MastraDBMessage, source: MessageSource): void {\n    switch (source) {\n      case 'memory':\n        this.memoryMessages.add(message);\n        this.memoryMessagesPersisted.add(message);\n        break;\n      case 'response':\n        // Promoting from memory (e.g. OM step prepare → merge step-2 text): keep a single\n        // canonical source so clear.response.db() cannot drop merged content while the\n        // message remains only in memoryMessages.\n        if (this.memoryMessages.has(message)) {\n          this.memoryMessages.delete(message);\n        }\n        this.newResponseMessages.add(message);\n        this.newResponseMessagesPersisted.add(message);\n        // Handle case where a client-side tool response was added as user input\n        if (this.newUserMessages.has(message)) {\n          this.newUserMessages.delete(message);\n        }\n        break;\n      case 'input':\n      case 'user': // deprecated alias for input\n        this.newUserMessages.add(message);\n        this.newUserMessagesPersisted.add(message);\n        break;\n      case 'context':\n        this.userContextMessages.add(message);\n        this.userContextMessagesPersisted.add(message);\n        break;\n      default:\n        throw new Error(`Missing message source for message ${message}`);\n    }\n  }\n\n  /**\n   * Check if a message belongs to the memory source\n   */\n  isMemoryMessage(message: MastraDBMessage): boolean {\n    return this.memoryMessages.has(message);\n  }\n\n  /**\n   * Check if a message belongs to the input source\n   */\n  isUserMessage(message: MastraDBMessage): boolean {\n    return this.newUserMessages.has(message);\n  }\n\n  /**\n   * Check if a message belongs to the response source\n   */\n  isResponseMessage(message: MastraDBMessage): boolean {\n    return this.newResponseMessages.has(message);\n  }\n\n  /**\n   * Check if a message belongs to the context source\n   */\n  isContextMessage(message: MastraDBMessage): boolean {\n    return this.userContextMessages.has(message);\n  }\n\n  /**\n   * Get all memory messages\n   */\n  getMemoryMessages(): Set<MastraDBMessage> {\n    return this.memoryMessages;\n  }\n\n  /**\n   * Get all user/input messages\n   */\n  getUserMessages(): Set<MastraDBMessage> {\n    return this.newUserMessages;\n  }\n\n  /**\n   * Get all response messages\n   */\n  getResponseMessages(): Set<MastraDBMessage> {\n    return this.newResponseMessages;\n  }\n\n  /**\n   * Get all context messages\n   */\n  getContextMessages(): Set<MastraDBMessage> {\n    return this.userContextMessages;\n  }\n\n  /**\n   * Get persisted memory messages\n   */\n  getMemoryMessagesPersisted(): Set<MastraDBMessage> {\n    return this.memoryMessagesPersisted;\n  }\n\n  /**\n   * Get persisted user/input messages\n   */\n  getUserMessagesPersisted(): Set<MastraDBMessage> {\n    return this.newUserMessagesPersisted;\n  }\n\n  /**\n   * Get persisted response messages\n   */\n  getResponseMessagesPersisted(): Set<MastraDBMessage> {\n    return this.newResponseMessagesPersisted;\n  }\n\n  /**\n   * Get persisted context messages\n   */\n  getContextMessagesPersisted(): Set<MastraDBMessage> {\n    return this.userContextMessagesPersisted;\n  }\n\n  /**\n   * Remove a message from all source sets\n   */\n  removeMessage(message: MastraDBMessage): void {\n    this.memoryMessages.delete(message);\n    this.newUserMessages.delete(message);\n    this.newResponseMessages.delete(message);\n    this.userContextMessages.delete(message);\n  }\n\n  /**\n   * Clear all user messages\n   */\n  clearUserMessages(): void {\n    this.newUserMessages.clear();\n  }\n\n  /**\n   * Clear all response messages\n   */\n  clearResponseMessages(): void {\n    this.newResponseMessages.clear();\n  }\n\n  /**\n   * Clear all context messages\n   */\n  clearContextMessages(): void {\n    this.userContextMessages.clear();\n  }\n\n  /**\n   * Clear all messages from all sources (but not persisted tracking)\n   */\n  clearAll(): void {\n    this.newUserMessages.clear();\n    this.newResponseMessages.clear();\n    this.userContextMessages.clear();\n  }\n\n  /**\n   * Create a lookup function to determine message source\n   */\n  createSourceChecker(): {\n    memory: Set<string>;\n    input: Set<string>;\n    output: Set<string>;\n    context: Set<string>;\n    getSource: (message: MastraDBMessage) => MessageSource | null;\n  } {\n    const sources = {\n      memory: new Set(Array.from(this.memoryMessages.values()).map(m => m.id)),\n      output: new Set(Array.from(this.newResponseMessages.values()).map(m => m.id)),\n      input: new Set(Array.from(this.newUserMessages.values()).map(m => m.id)),\n      context: new Set(Array.from(this.userContextMessages.values()).map(m => m.id)),\n    };\n\n    return {\n      ...sources,\n      getSource: (msg: MastraDBMessage): MessageSource | null => {\n        if (sources.memory.has(msg.id)) return 'memory';\n        if (sources.input.has(msg.id)) return 'input';\n        if (sources.output.has(msg.id)) return 'response';\n        if (sources.context.has(msg.id)) return 'context';\n        return null;\n      },\n    };\n  }\n\n  /**\n   * Check if a message is a new (unsaved) user or response message by ID\n   */\n  isNewMessage(messageOrId: MastraDBMessage | string): boolean {\n    const id = typeof messageOrId === 'string' ? messageOrId : messageOrId.id;\n\n    // Check by object reference first (fast path)\n    if (typeof messageOrId !== 'string') {\n      if (this.newUserMessages.has(messageOrId) || this.newResponseMessages.has(messageOrId)) {\n        return true;\n      }\n    }\n\n    // Check by ID (handles copies)\n    return (\n      Array.from(this.newUserMessages).some(m => m.id === id) ||\n      Array.from(this.newResponseMessages).some(m => m.id === id)\n    );\n  }\n\n  /**\n   * Serialize source tracking state (message IDs only)\n   */\n  private serializeSourceTracking(): {\n    memoryMessages: string[];\n    newUserMessages: string[];\n    newResponseMessages: string[];\n    userContextMessages: string[];\n    memoryMessagesPersisted: string[];\n    newUserMessagesPersisted: string[];\n    newResponseMessagesPersisted: string[];\n    userContextMessagesPersisted: string[];\n  } {\n    const serializeSet = (set: Set<MastraDBMessage>) => Array.from(set).map(value => value.id);\n\n    return {\n      memoryMessages: serializeSet(this.memoryMessages),\n      newUserMessages: serializeSet(this.newUserMessages),\n      newResponseMessages: serializeSet(this.newResponseMessages),\n      userContextMessages: serializeSet(this.userContextMessages),\n      memoryMessagesPersisted: serializeSet(this.memoryMessagesPersisted),\n      newUserMessagesPersisted: serializeSet(this.newUserMessagesPersisted),\n      newResponseMessagesPersisted: serializeSet(this.newResponseMessagesPersisted),\n      userContextMessagesPersisted: serializeSet(this.userContextMessagesPersisted),\n    };\n  }\n\n  /**\n   * Deserialize source tracking state from message IDs\n   */\n  private deserializeSourceTracking(\n    state: ReturnType<typeof this.serializeSourceTracking>,\n    messages: MastraDBMessage[],\n  ): void {\n    const deserializeSet = (ids: string[]) =>\n      new Set(ids.map(id => messages.find(m => m.id === id)).filter(Boolean) as MastraDBMessage[]);\n\n    this.memoryMessages = deserializeSet(state.memoryMessages);\n    this.newUserMessages = deserializeSet(state.newUserMessages);\n    this.newResponseMessages = deserializeSet(state.newResponseMessages);\n    this.userContextMessages = deserializeSet(state.userContextMessages);\n    this.memoryMessagesPersisted = deserializeSet(state.memoryMessagesPersisted);\n    this.newUserMessagesPersisted = deserializeSet(state.newUserMessagesPersisted);\n    this.newResponseMessagesPersisted = deserializeSet(state.newResponseMessagesPersisted);\n    this.userContextMessagesPersisted = deserializeSet(state.userContextMessagesPersisted);\n  }\n\n  /**\n   * Serialize all MessageList state for workflow suspend/resume\n   */\n  serializeAll(data: {\n    messages: MastraDBMessage[];\n    systemMessages: CoreSystemMessage[];\n    taggedSystemMessages: Record<string, CoreSystemMessage[]>;\n    memoryInfo: MemoryInfo | null;\n    agentNetworkAppend: boolean;\n  }): SerializedMessageListState {\n    return {\n      messages: serializeMessages(data.messages),\n      systemMessages: data.systemMessages,\n      taggedSystemMessages: data.taggedSystemMessages,\n      memoryInfo: data.memoryInfo,\n      _agentNetworkAppend: data.agentNetworkAppend,\n      ...this.serializeSourceTracking(),\n    };\n  }\n\n  /**\n   * Deserialize all MessageList state from workflow suspend/resume\n   */\n  deserializeAll(state: SerializedMessageListState): {\n    messages: MastraDBMessage[];\n    systemMessages: CoreSystemMessage[];\n    taggedSystemMessages: Record<string, CoreSystemMessage[]>;\n    memoryInfo: MemoryInfo | null;\n    agentNetworkAppend: boolean;\n  } {\n    const messages = deserializeMessages(state.messages);\n\n    this.deserializeSourceTracking(\n      {\n        memoryMessages: state.memoryMessages,\n        newUserMessages: state.newUserMessages,\n        newResponseMessages: state.newResponseMessages,\n        userContextMessages: state.userContextMessages,\n        memoryMessagesPersisted: state.memoryMessagesPersisted,\n        newUserMessagesPersisted: state.newUserMessagesPersisted,\n        newResponseMessagesPersisted: state.newResponseMessagesPersisted,\n        userContextMessagesPersisted: state.userContextMessagesPersisted,\n      },\n      messages,\n    );\n\n    return {\n      messages,\n      systemMessages: state.systemMessages,\n      taggedSystemMessages: state.taggedSystemMessages,\n      memoryInfo: state.memoryInfo,\n      agentNetworkAppend: state._agentNetworkAppend,\n    };\n  }\n}\n\n/**\n * Serialized form of the complete MessageList state\n */\nexport interface SerializedMessageListState {\n  messages: SerializedMessage[];\n  systemMessages: CoreSystemMessage[];\n  taggedSystemMessages: Record<string, CoreSystemMessage[]>;\n  memoryInfo: MemoryInfo | null;\n  _agentNetworkAppend: boolean;\n  memoryMessages: string[];\n  newUserMessages: string[];\n  newResponseMessages: string[];\n  userContextMessages: string[];\n  memoryMessagesPersisted: string[];\n  newUserMessagesPersisted: string[];\n  newResponseMessagesPersisted: string[];\n  userContextMessagesPersisted: string[];\n}\n","import type { LanguageModelV2Prompt } from '@ai-sdk/provider-v5';\nimport type { LanguageModelV1Prompt, CoreMessage as CoreMessageV4 } from '@internal/ai-sdk-v4';\nimport type * as AIV4Type from '@internal/ai-sdk-v4';\nimport { v4 as randomUUID } from '@lukeed/uuid';\n\nimport { MastraError, ErrorDomain, ErrorCategory } from '../../error';\nimport type { IMastraLogger } from '../../logger';\nimport { getTransformedToolPayload, hasTransformedToolPayload } from '../../tools/payload-transform';\nimport type { IdGeneratorContext } from '../../types';\nimport { createSignal, isCreatedAgentSignal, mastraDBMessageToSignal } from '../signals';\nimport type { CreatedAgentSignal } from '../signals';\nimport { AIV4Adapter, AIV5Adapter, AIV6Adapter } from './adapters';\nimport { CacheKeyGenerator } from './cache/CacheKeyGenerator';\nimport {\n  aiV4CoreMessageToV1PromptMessage,\n  aiV5ModelMessageToV2PromptMessage,\n  coreContentToString,\n  messagesAreEqual,\n  inputToMastraDBMessage as convertInputToMastraDBMessage,\n  aiV4UIMessagesToAIV4CoreMessages,\n  aiV5UIMessagesToAIV5ModelMessages as convertAIV5UIToModelMessages,\n  aiV4CoreMessagesToAIV5ModelMessages as convertAIV4CoreToAIV5ModelMessages,\n  systemMessageToAIV4Core,\n  StepContentExtractor,\n} from './conversion';\nimport { TypeDetector } from './detection/TypeDetector';\nimport { MessageMerger } from './merge';\nimport { convertImageFilePart } from './prompt/convert-file';\nimport { convertToV1Messages } from './prompt/convert-to-mastra-v1';\nimport { downloadAssetsFromMessages } from './prompt/download-assets';\nimport { MessageStateManager } from './state';\nimport type {\n  MastraDBMessage,\n  MastraMessagePart,\n  MastraMessageV1,\n  MessageSource,\n  MemoryInfo,\n  UIMessageWithMetadata,\n  SerializedMessageListState,\n} from './state';\nimport type { AIV5Type, AIV5ResponseMessage, AIV6Type, MessageInput, MessageListInput } from './types';\nimport { ensureGeminiCompatibleMessages } from './utils/provider-compat';\nimport { stampPart } from './utils/stamp-part';\n\nfunction isSignalDataMessage<T extends { role: string; parts: Array<{ type: string }> }>(message: T): boolean {\n  return message.role === 'system' && message.parts.length > 0 && message.parts.every(p => p.type.startsWith('data-'));\n}\n\n/**\n * Post-processes converted UI messages to merge non-user signal data parts into an\n * immediate neighbor assistant message, matching active-streaming behavior.\n *\n * Only checks immediate neighbors: append to preceding assistant, or prepend to\n * following assistant. If neither neighbor is assistant, convert the signal in-place\n * to an assistant message with just its data parts.\n */\nfunction mergeSignalDataParts<T extends { role: string; parts: Array<{ type: string }> }>(messages: T[]): T[] {\n  const result: T[] = [];\n  for (let idx = 0; idx < messages.length; idx++) {\n    const message = messages[idx]!;\n    if (!isSignalDataMessage(message)) {\n      result.push(message);\n      continue;\n    }\n\n    const prev = result[result.length - 1];\n    const next = messages[idx + 1];\n\n    if (prev && prev.role === 'assistant') {\n      result[result.length - 1] = { ...prev, parts: [...prev.parts, ...message.parts] };\n    } else if (next && next.role === 'assistant') {\n      messages[idx + 1] = { ...next, parts: [...message.parts, ...next.parts] } as T;\n    } else {\n      result.push({ ...message, role: 'assistant' } as T);\n    }\n  }\n  return result;\n}\n\nexport class MessageList {\n  private messages: MastraDBMessage[] = [];\n\n  // passed in by dev in input or context\n  private systemMessages: AIV4Type.CoreSystemMessage[] = [];\n  // passed in by us for a specific purpose, eg memory system message\n  private taggedSystemMessages: Record<string, AIV4Type.CoreSystemMessage[]> = {};\n\n  private memoryInfo: null | MemoryInfo = null;\n\n  // Centralized state management for message tracking\n  private stateManager = new MessageStateManager();\n\n  // Legacy getters for backward compatibility - delegate to stateManager\n  private get memoryMessages() {\n    return this.stateManager.getMemoryMessages();\n  }\n  private get newUserMessages() {\n    return this.stateManager.getUserMessages();\n  }\n  private get newResponseMessages() {\n    return this.stateManager.getResponseMessages();\n  }\n  private get userContextMessages() {\n    return this.stateManager.getContextMessages();\n  }\n  private get memoryMessagesPersisted() {\n    return this.stateManager.getMemoryMessagesPersisted();\n  }\n  private get newUserMessagesPersisted() {\n    return this.stateManager.getUserMessagesPersisted();\n  }\n  private get newResponseMessagesPersisted() {\n    return this.stateManager.getResponseMessagesPersisted();\n  }\n  private get userContextMessagesPersisted() {\n    return this.stateManager.getContextMessagesPersisted();\n  }\n\n  private generateMessageId?: (context?: IdGeneratorContext) => string;\n  private _agentNetworkAppend = false;\n  private filterIncompleteToolCalls: boolean;\n  private logger?: IMastraLogger;\n\n  private toAIV5UIMessages(messages: MastraDBMessage[], options?: { transformToolPayloads?: boolean }) {\n    return mergeSignalDataParts(messages.map(message => AIV5Adapter.toUIMessage(message, options)));\n  }\n\n  private toAIV4UIMessages(messages: MastraDBMessage[], options?: { transformToolPayloads?: boolean }) {\n    return mergeSignalDataParts(messages.map(message => AIV4Adapter.toUIMessage(message, options)));\n  }\n\n  private toAIV6UIMessages(messages: MastraDBMessage[]) {\n    return mergeSignalDataParts(messages.map(AIV6Adapter.toUIMessage));\n  }\n\n  // Event recording for observability\n  private isRecording = false;\n  private recordedEvents: Array<{\n    type: 'add' | 'addSystem' | 'removeByIds' | 'clear';\n    source?: MessageSource;\n    count?: number;\n    ids?: string[];\n    text?: string;\n    tag?: string;\n    message?: CoreMessageV4;\n  }> = [];\n\n  constructor({\n    threadId,\n    resourceId,\n    generateMessageId,\n    logger,\n    filterIncompleteToolCalls,\n    // @ts-expect-error Flag for agent network messages\n    _agentNetworkAppend,\n  }: {\n    threadId?: string;\n    resourceId?: string;\n    generateMessageId?: (context?: IdGeneratorContext) => string;\n    logger?: IMastraLogger;\n    filterIncompleteToolCalls?: boolean;\n  } = {}) {\n    if (threadId) {\n      this.memoryInfo = { threadId, resourceId };\n    }\n    this.generateMessageId = generateMessageId;\n    this.logger = logger;\n    this.filterIncompleteToolCalls = filterIncompleteToolCalls ?? true;\n    this._agentNetworkAppend = _agentNetworkAppend || false;\n  }\n\n  /**\n   * Start recording mutations to the MessageList for observability/tracing\n   */\n  public startRecording(): void {\n    this.isRecording = true;\n    this.recordedEvents = [];\n  }\n\n  public hasRecordedEvents(): boolean {\n    return this.recordedEvents.length > 0;\n  }\n\n  public getRecordedEvents(): Array<{\n    type: 'add' | 'addSystem' | 'removeByIds' | 'clear';\n    source?: MessageSource;\n    count?: number;\n    ids?: string[];\n    text?: string;\n    tag?: string;\n    message?: CoreMessageV4;\n  }> {\n    const events = [...this.recordedEvents];\n    return events;\n  }\n\n  /**\n   * Stop recording and return the list of recorded events\n   */\n  public stopRecording(): Array<{\n    type: 'add' | 'addSystem' | 'removeByIds' | 'clear';\n    source?: MessageSource;\n    count?: number;\n    ids?: string[];\n    text?: string;\n    tag?: string;\n    message?: CoreMessageV4;\n  }> {\n    this.isRecording = false;\n    const events = this.getRecordedEvents();\n    this.recordedEvents = [];\n    return events;\n  }\n\n  public addSignal(signal: CreatedAgentSignal, options?: { source?: MessageSource }): CreatedAgentSignal {\n    const source = options?.source ?? 'input';\n    const createdAt = this.generateCreatedAt(source, new Date());\n    const acceptedAt = signal.acceptedAt ?? signal.createdAt;\n    const signalForTranscript = createSignal({\n      id: signal.id,\n      type: signal.type,\n      tagName: signal.tagName,\n      contents: signal.contents,\n      attributes: signal.attributes,\n      metadata: signal.metadata,\n      providerOptions: signal.providerOptions,\n      createdAt,\n      acceptedAt,\n    });\n\n    this.addOne(signalForTranscript.toDBMessage(this.memoryInfo ?? undefined), source);\n    return signalForTranscript;\n  }\n\n  public add(messages: MessageListInput, messageSource: MessageSource) {\n    if (messageSource === `user`) messageSource = `input`;\n\n    if (!messages) return this;\n    const messageArray = Array.isArray(messages) ? messages : [messages];\n\n    // Record event if recording is enabled\n    if (this.isRecording) {\n      this.recordedEvents.push({\n        type: 'add',\n        source: messageSource,\n        count: messageArray.length,\n      });\n    }\n\n    for (const message of messageArray) {\n      if (isCreatedAgentSignal(message) && messageSource === 'input') {\n        this.addSignal(message, { source: messageSource });\n        continue;\n      }\n\n      const messageInput = isCreatedAgentSignal(message)\n        ? message.toDBMessage(this.memoryInfo ?? undefined)\n        : typeof message === `string`\n          ? {\n              role: 'user' as const,\n              content: message,\n            }\n          : message;\n\n      if (Array.isArray(messageInput)) {\n        for (const nestedMessage of messageInput) {\n          this.addOne(\n            typeof nestedMessage === `string`\n              ? {\n                  role: 'user',\n                  content: nestedMessage,\n                }\n              : nestedMessage,\n            messageSource,\n          );\n        }\n        continue;\n      }\n\n      this.addOne(\n        typeof messageInput === `string`\n          ? {\n              role: 'user',\n              content: messageInput,\n            }\n          : messageInput,\n        messageSource,\n      );\n    }\n    return this;\n  }\n\n  public serialize(): SerializedMessageListState {\n    return this.stateManager.serializeAll({\n      messages: this.messages,\n      systemMessages: this.systemMessages,\n      taggedSystemMessages: this.taggedSystemMessages,\n      memoryInfo: this.memoryInfo,\n      agentNetworkAppend: this._agentNetworkAppend,\n    });\n  }\n\n  /**\n   * Custom serialization for tracing/observability spans.\n   * Returns a clean representation with just the essential data,\n   * excluding internal state tracking, methods, and implementation details.\n   *\n   * This is automatically called by the span serialization system when\n   * a MessageList instance appears in span input/output/attributes.\n   */\n  public serializeForSpan(): {\n    messages: Array<{ role: string; content: unknown }>;\n    systemMessages: Array<{ role: string; content: unknown; tag?: string }>;\n  } {\n    const coreMessages = this.all.aiV4.core();\n\n    return {\n      messages: coreMessages.map(msg => ({\n        role: msg.role,\n        content: msg.content,\n      })),\n      systemMessages: [\n        // Untagged first (base instructions)\n        ...this.systemMessages.map(m => ({ role: m.role, content: m.content })),\n        // Tagged after (contextual additions)\n        ...Object.entries(this.taggedSystemMessages).flatMap(([tag, msgs]) =>\n          msgs.map(m => ({ role: m.role, content: m.content, tag })),\n        ),\n      ],\n    };\n  }\n\n  public deserialize(state: SerializedMessageListState) {\n    const data = this.stateManager.deserializeAll(state);\n    this.messages = data.messages;\n    this.systemMessages = data.systemMessages;\n    this.taggedSystemMessages = data.taggedSystemMessages;\n    this.memoryInfo = data.memoryInfo;\n    this._agentNetworkAppend = data.agentNetworkAppend;\n    for (const message of this.messages) {\n      this.updateLastCreatedAt(message);\n    }\n    return this;\n  }\n\n  private getMessagesForModelPrompt(): MastraDBMessage[] {\n    return this.messages.flatMap(message => {\n      if ((message.role as string) !== 'signal') {\n        return [message];\n      }\n\n      return this.convertSignalForModelPrompt(message);\n    });\n  }\n\n  private convertSignalForModelPrompt(message: MastraDBMessage): MastraDBMessage[] {\n    // Model providers only understand normal prompt messages, so project the signal into\n    // its LLM-facing UserModelMessage. Preserve the original id/createdAt so MessageList's\n    // timestamp/ordering bookkeeping stays anchored to the persisted signal row.\n    const signalMessage = mastraDBMessageToSignal(message).toLLMMessage();\n    const createdAt = message.createdAt;\n    const promptMessage = {\n      ...signalMessage,\n      id: message.id,\n      metadata: { createdAt },\n    };\n\n    return [\n      convertInputToMastraDBMessage(promptMessage as MessageInput, 'input', {\n        memoryInfo: this.memoryInfo,\n        newMessageId: () => message.id,\n        generateCreatedAt: (_messageSource, start) => {\n          if (start instanceof Date) return start;\n          if (typeof start === 'string' || typeof start === 'number') return new Date(start);\n          return createdAt;\n        },\n        dbMessages: this.messages,\n      }),\n    ];\n  }\n\n  public makeMessageSourceChecker(): {\n    memory: Set<string>;\n    input: Set<string>;\n    output: Set<string>;\n    context: Set<string>;\n    getSource: (message: MastraDBMessage) => MessageSource | null;\n  } {\n    return this.stateManager.createSourceChecker();\n  }\n\n  public getLatestUserContent(): string | null {\n    const currentUserMessages = this.all.core().filter(m => m.role === 'user');\n    const content = currentUserMessages.at(-1)?.content;\n    if (!content) return null;\n    return coreContentToString(content);\n  }\n\n  public get get() {\n    return {\n      all: this.all,\n      remembered: this.remembered,\n      input: this.input,\n      response: this.response,\n    };\n  }\n  public get getPersisted() {\n    return {\n      remembered: this.rememberedPersisted,\n      input: this.inputPersisted,\n      taggedSystemMessages: this.taggedSystemMessages,\n      response: this.responsePersisted,\n    };\n  }\n\n  public get clear() {\n    return {\n      all: {\n        db: (): MastraDBMessage[] => {\n          const allMessages = [...this.messages];\n          this.messages = [];\n          this.stateManager.clearAll();\n          if (this.isRecording && allMessages.length > 0) {\n            this.recordedEvents.push({\n              type: 'clear',\n              count: allMessages.length,\n            });\n          }\n          return allMessages;\n        },\n      },\n      input: {\n        db: (): MastraDBMessage[] => {\n          const userMessages = Array.from(this.stateManager.getUserMessages());\n          this.messages = this.messages.filter(m => !this.stateManager.isUserMessage(m));\n          this.stateManager.clearUserMessages();\n          if (this.isRecording && userMessages.length > 0) {\n            this.recordedEvents.push({\n              type: 'clear',\n              source: 'input',\n              count: userMessages.length,\n            });\n          }\n          return userMessages;\n        },\n      },\n      response: {\n        db: () => {\n          const responseMessages = Array.from(this.stateManager.getResponseMessages());\n          this.messages = this.messages.filter(m => !this.stateManager.isResponseMessage(m));\n          this.stateManager.clearResponseMessages();\n          if (this.isRecording && responseMessages.length > 0) {\n            this.recordedEvents.push({\n              type: 'clear',\n              source: 'response',\n              count: responseMessages.length,\n            });\n          }\n          return responseMessages;\n        },\n      },\n    };\n  }\n\n  /**\n   * Remove messages by ID\n   * @param ids - Array of message IDs to remove\n   * @returns Array of removed messages\n   */\n  public removeByIds(ids: string[]): MastraDBMessage[] {\n    const idsSet = new Set(ids);\n    const removed: MastraDBMessage[] = [];\n    this.messages = this.messages.filter(m => {\n      if (idsSet.has(m.id)) {\n        removed.push(m);\n        this.stateManager.removeMessage(m);\n        return false;\n      }\n      return true;\n    });\n    if (this.isRecording && removed.length > 0) {\n      this.recordedEvents.push({\n        type: 'removeByIds',\n        ids,\n        count: removed.length,\n      });\n    }\n    return removed;\n  }\n\n  private all = {\n    db: (): MastraDBMessage[] => this.messages,\n    v1: (): MastraMessageV1[] => convertToV1Messages(this.all.db()),\n\n    aiV5: {\n      model: (): AIV5Type.ModelMessage[] => {\n        const promptMessages = this.getMessagesForModelPrompt();\n        return convertAIV5UIToModelMessages(\n          this.toAIV5UIMessages(promptMessages, { transformToolPayloads: false }),\n          promptMessages,\n        );\n      },\n      ui: (): AIV5Type.UIMessage[] => this.toAIV5UIMessages(this.all.db()),\n\n      // Used when calling AI SDK streamText/generateText\n      prompt: (): AIV5Type.ModelMessage[] => {\n        const systemMessages = convertAIV4CoreToAIV5ModelMessages(\n          [...this.systemMessages, ...Object.values(this.taggedSystemMessages).flat()],\n          `system`,\n          this.createAdapterContext(),\n          this.messages,\n        );\n        const promptMessages = this.getMessagesForModelPrompt();\n        const modelMessages = convertAIV5UIToModelMessages(\n          this.toAIV5UIMessages(promptMessages, { transformToolPayloads: false }),\n          promptMessages,\n          this.filterIncompleteToolCalls,\n        );\n\n        const messages = [...systemMessages, ...modelMessages];\n\n        return ensureGeminiCompatibleMessages(messages, this.logger);\n      },\n\n      // Used for creating LLM prompt messages without AI SDK streamText/generateText\n      llmPrompt: async (\n        options: {\n          downloadConcurrency?: number;\n          downloadRetries?: number;\n          supportedUrls?: Record<string, RegExp[]>;\n        } = {\n          downloadConcurrency: 10,\n          downloadRetries: 3,\n        },\n      ): Promise<LanguageModelV2Prompt> => {\n        const promptMessages = this.getMessagesForModelPrompt();\n        const modelMessages = convertAIV5UIToModelMessages(\n          this.toAIV5UIMessages(promptMessages, { transformToolPayloads: false }),\n          promptMessages,\n          this.filterIncompleteToolCalls,\n        );\n\n        const storedModelOutputs = new Map<string, unknown>();\n        for (const dbMsg of this.messages) {\n          if (dbMsg.content?.format !== 2 || !dbMsg.content.parts) continue;\n\n          for (const part of dbMsg.content.parts) {\n            if (\n              part.type === 'tool-invocation' &&\n              part.toolInvocation?.state === 'result' &&\n              part.providerMetadata?.mastra &&\n              typeof part.providerMetadata.mastra === 'object' &&\n              'modelOutput' in (part.providerMetadata.mastra as Record<string, unknown>)\n            ) {\n              storedModelOutputs.set(\n                part.toolInvocation.toolCallId,\n                (part.providerMetadata.mastra as Record<string, unknown>).modelOutput,\n              );\n            }\n          }\n        }\n\n        if (storedModelOutputs.size > 0) {\n          for (const modelMsg of modelMessages) {\n            if (modelMsg.role !== 'tool' || !Array.isArray(modelMsg.content)) continue;\n\n            for (let i = 0; i < modelMsg.content.length; i++) {\n              const part = modelMsg.content[i]!;\n              if (part.type === 'tool-result' && storedModelOutputs.has(part.toolCallId)) {\n                modelMsg.content[i] = {\n                  ...part,\n                  output: storedModelOutputs.get(part.toolCallId) as any,\n                };\n              }\n            }\n          }\n        }\n        const systemMessages = convertAIV4CoreToAIV5ModelMessages(\n          [...this.systemMessages, ...Object.values(this.taggedSystemMessages).flat()],\n          `system`,\n          this.createAdapterContext(),\n          this.messages,\n        );\n\n        const downloadedAssets = await downloadAssetsFromMessages({\n          messages: modelMessages,\n          downloadConcurrency: options?.downloadConcurrency,\n          downloadRetries: options?.downloadRetries,\n          supportedUrls: options?.supportedUrls,\n        });\n\n        let messages = [...systemMessages, ...modelMessages];\n\n        // Check if any messages have image/file content that needs processing\n        const hasImageOrFileContent = modelMessages.some(\n          message =>\n            (message.role === 'user' || message.role === 'assistant') &&\n            typeof message.content !== 'string' &&\n            message.content.some(part => part.type === 'image' || part.type === 'file'),\n        );\n\n        if (hasImageOrFileContent) {\n          messages = messages.map(message => {\n            if (message.role === 'user') {\n              if (typeof message.content === 'string') {\n                return {\n                  role: 'user' as const,\n                  content: [{ type: 'text' as const, text: message.content }],\n                  providerOptions: message.providerOptions,\n                } as AIV5Type.ModelMessage;\n              }\n\n              const convertedContent = message.content\n                .map(part => {\n                  if (part.type === 'image' || part.type === 'file') {\n                    return convertImageFilePart(part, downloadedAssets);\n                  }\n                  return part;\n                })\n                .filter(part => part.type !== 'text' || part.text !== '');\n\n              return {\n                role: 'user' as const,\n                content: convertedContent,\n                providerOptions: message.providerOptions,\n              } as AIV5Type.ModelMessage;\n            }\n\n            if (message.role === 'assistant' && typeof message.content !== 'string') {\n              const convertedContent = message.content.map(part => {\n                if (part.type === 'file') {\n                  return convertImageFilePart(part, downloadedAssets);\n                }\n                return part;\n              });\n\n              return {\n                ...message,\n                content: convertedContent,\n              };\n            }\n\n            return message;\n          });\n        }\n\n        messages = ensureGeminiCompatibleMessages(messages, this.logger);\n\n        return messages\n          .map(aiV5ModelMessageToV2PromptMessage)\n          .filter(\n            message => message.role === 'system' || typeof message.content === 'string' || message.content.length > 0,\n          );\n      },\n    },\n    aiV6: {\n      ui: () => this.toAIV6UIMessages(this.all.db()),\n    },\n\n    /* @deprecated use list.get.all.aiV4.prompt() instead */\n    prompt: () => this.all.aiV4.prompt(),\n    /* @deprecated use list.get.all.aiV4.ui() */\n    ui: (): UIMessageWithMetadata[] => this.toAIV4UIMessages(this.all.db()),\n    /* @deprecated use list.get.all.aiV4.core() */\n    core: (): CoreMessageV4[] =>\n      aiV4UIMessagesToAIV4CoreMessages(this.toAIV4UIMessages(this.all.db(), { transformToolPayloads: false })),\n    aiV4: {\n      ui: (): UIMessageWithMetadata[] => this.toAIV4UIMessages(this.all.db()),\n      core: (): CoreMessageV4[] =>\n        aiV4UIMessagesToAIV4CoreMessages(\n          this.toAIV4UIMessages(this.getMessagesForModelPrompt(), { transformToolPayloads: false }),\n        ),\n\n      // Used when calling AI SDK streamText/generateText\n      prompt: () => {\n        const coreMessages = this.all.aiV4.core();\n        const messages = [...this.systemMessages, ...Object.values(this.taggedSystemMessages).flat(), ...coreMessages];\n\n        return ensureGeminiCompatibleMessages(messages, this.logger);\n      },\n\n      // Used for creating LLM prompt messages without AI SDK streamText/generateText\n      llmPrompt: (): LanguageModelV1Prompt => {\n        const coreMessages = this.all.aiV4.core();\n\n        const systemMessages = [...this.systemMessages, ...Object.values(this.taggedSystemMessages).flat()];\n        let messages = [...systemMessages, ...coreMessages];\n\n        messages = ensureGeminiCompatibleMessages(messages, this.logger);\n\n        return messages.map(aiV4CoreMessageToV1PromptMessage);\n      },\n    },\n  };\n\n  private remembered = {\n    db: () => this.messages.filter(m => this.memoryMessages.has(m)),\n    v1: () => convertToV1Messages(this.remembered.db()),\n\n    aiV5: {\n      model: () =>\n        convertAIV5UIToModelMessages(\n          this.toAIV5UIMessages(this.remembered.db(), { transformToolPayloads: false }),\n          this.messages,\n        ),\n      ui: (): AIV5Type.UIMessage[] => this.toAIV5UIMessages(this.remembered.db()),\n    },\n    aiV6: {\n      ui: () => this.toAIV6UIMessages(this.remembered.db()),\n    },\n\n    /* @deprecated use list.get.remembered.aiV4.ui() */\n    ui: (): UIMessageWithMetadata[] => this.toAIV4UIMessages(this.remembered.db()),\n    /* @deprecated use list.get.remembered.aiV4.core() */\n    core: (): CoreMessageV4[] =>\n      aiV4UIMessagesToAIV4CoreMessages(this.toAIV4UIMessages(this.remembered.db(), { transformToolPayloads: false })),\n    aiV4: {\n      ui: (): UIMessageWithMetadata[] => this.toAIV4UIMessages(this.remembered.db()),\n      core: (): CoreMessageV4[] =>\n        aiV4UIMessagesToAIV4CoreMessages(this.toAIV4UIMessages(this.remembered.db(), { transformToolPayloads: false })),\n    },\n  };\n  private rememberedPersisted = {\n    db: () => this.all.db().filter(m => this.memoryMessagesPersisted.has(m)),\n    v1: () => convertToV1Messages(this.rememberedPersisted.db()),\n\n    aiV5: {\n      model: () =>\n        convertAIV5UIToModelMessages(\n          this.toAIV5UIMessages(this.rememberedPersisted.db(), { transformToolPayloads: false }),\n          this.messages,\n        ),\n      ui: (): AIV5Type.UIMessage[] => this.toAIV5UIMessages(this.rememberedPersisted.db()),\n    },\n    aiV6: {\n      ui: () => this.toAIV6UIMessages(this.rememberedPersisted.db()),\n    },\n\n    /* @deprecated use list.getPersisted.remembered.aiV4.ui() */\n    ui: () => this.toAIV4UIMessages(this.rememberedPersisted.db()),\n    /* @deprecated use list.getPersisted.remembered.aiV4.core() */\n    core: () =>\n      aiV4UIMessagesToAIV4CoreMessages(\n        this.toAIV4UIMessages(this.rememberedPersisted.db(), { transformToolPayloads: false }),\n      ),\n    aiV4: {\n      ui: (): UIMessageWithMetadata[] => this.toAIV4UIMessages(this.rememberedPersisted.db()),\n      core: (): CoreMessageV4[] =>\n        aiV4UIMessagesToAIV4CoreMessages(\n          this.toAIV4UIMessages(this.rememberedPersisted.db(), { transformToolPayloads: false }),\n        ),\n    },\n  };\n\n  private input = {\n    db: () => this.messages.filter(m => this.newUserMessages.has(m)),\n    v1: () => convertToV1Messages(this.input.db()),\n\n    aiV5: {\n      model: () =>\n        convertAIV5UIToModelMessages(\n          this.toAIV5UIMessages(this.input.db(), { transformToolPayloads: false }),\n          this.messages,\n        ),\n      ui: (): AIV5Type.UIMessage[] => this.toAIV5UIMessages(this.input.db()),\n    },\n    aiV6: {\n      ui: () => this.toAIV6UIMessages(this.input.db()),\n    },\n\n    /* @deprecated use list.get.input.aiV4.ui() instead */\n    ui: () => this.toAIV4UIMessages(this.input.db()),\n    /* @deprecated use list.get.core.aiV4.ui() instead */\n    core: () =>\n      aiV4UIMessagesToAIV4CoreMessages(this.toAIV4UIMessages(this.input.db(), { transformToolPayloads: false })),\n    aiV4: {\n      ui: (): UIMessageWithMetadata[] => this.toAIV4UIMessages(this.input.db()),\n      core: (): CoreMessageV4[] =>\n        aiV4UIMessagesToAIV4CoreMessages(this.toAIV4UIMessages(this.input.db(), { transformToolPayloads: false })),\n    },\n  };\n  private inputPersisted = {\n    db: (): MastraDBMessage[] => this.messages.filter(m => this.newUserMessagesPersisted.has(m)),\n    v1: (): MastraMessageV1[] => convertToV1Messages(this.inputPersisted.db()),\n\n    aiV5: {\n      model: () =>\n        convertAIV5UIToModelMessages(\n          this.toAIV5UIMessages(this.inputPersisted.db(), { transformToolPayloads: false }),\n          this.messages,\n        ),\n      ui: (): AIV5Type.UIMessage[] => this.toAIV5UIMessages(this.inputPersisted.db()),\n    },\n    aiV6: {\n      ui: () => this.toAIV6UIMessages(this.inputPersisted.db()),\n    },\n\n    /* @deprecated use list.getPersisted.input.aiV4.ui() */\n    ui: (): UIMessageWithMetadata[] => this.toAIV4UIMessages(this.inputPersisted.db()),\n    /* @deprecated use list.getPersisted.input.aiV4.core() */\n    core: () =>\n      aiV4UIMessagesToAIV4CoreMessages(\n        this.toAIV4UIMessages(this.inputPersisted.db(), { transformToolPayloads: false }),\n      ),\n    aiV4: {\n      ui: (): UIMessageWithMetadata[] => this.toAIV4UIMessages(this.inputPersisted.db()),\n      core: (): CoreMessageV4[] =>\n        aiV4UIMessagesToAIV4CoreMessages(\n          this.toAIV4UIMessages(this.inputPersisted.db(), { transformToolPayloads: false }),\n        ),\n    },\n  };\n\n  private response = {\n    db: (): MastraDBMessage[] => this.messages.filter(m => this.newResponseMessages.has(m)),\n    v1: (): MastraMessageV1[] => convertToV1Messages(this.response.db()),\n\n    aiV5: {\n      ui: (): AIV5Type.UIMessage[] => this.toAIV5UIMessages(this.response.db()),\n      model: (): AIV5ResponseMessage[] =>\n        convertAIV5UIToModelMessages(\n          this.toAIV5UIMessages(this.response.db(), { transformToolPayloads: false }),\n          this.messages,\n        ).filter(m => m.role === `tool` || m.role === `assistant`),\n      modelContent: (stepNumber?: number): AIV5Type.StepResult<any>['content'] => {\n        if (typeof stepNumber === 'number') {\n          // Delegate to StepContentExtractor for step-specific content extraction\n          return StepContentExtractor.extractStepContent(\n            this.response.aiV5.ui(),\n            stepNumber,\n            this.response.aiV5.stepContent,\n          );\n        }\n\n        return this.response.aiV5.model().map(this.response.aiV5.stepContent).flat();\n      },\n      stepContent: (message?: AIV5Type.ModelMessage): AIV5Type.StepResult<any>['content'] => {\n        // Delegate to StepContentExtractor for content conversion\n        return StepContentExtractor.convertToStepContent(message, this.messages, () =>\n          this.response.aiV5.model().at(-1),\n        );\n      },\n    },\n    aiV6: {\n      ui: () => this.toAIV6UIMessages(this.response.db()),\n    },\n\n    aiV4: {\n      ui: (): UIMessageWithMetadata[] => this.toAIV4UIMessages(this.response.db()),\n      core: (): CoreMessageV4[] =>\n        aiV4UIMessagesToAIV4CoreMessages(this.toAIV4UIMessages(this.response.db(), { transformToolPayloads: false })),\n    },\n  };\n  private responsePersisted = {\n    db: (): MastraDBMessage[] => this.messages.filter(m => this.newResponseMessagesPersisted.has(m)),\n\n    aiV5: {\n      model: () =>\n        convertAIV5UIToModelMessages(\n          this.toAIV5UIMessages(this.responsePersisted.db(), { transformToolPayloads: false }),\n          this.messages,\n        ),\n      ui: (): AIV5Type.UIMessage[] => this.toAIV5UIMessages(this.responsePersisted.db()),\n    },\n    aiV6: {\n      ui: () => this.toAIV6UIMessages(this.responsePersisted.db()),\n    },\n\n    /* @deprecated use list.getPersisted.response.aiV4.ui() */\n    ui: (): UIMessageWithMetadata[] => this.toAIV4UIMessages(this.responsePersisted.db()),\n    aiV4: {\n      ui: (): UIMessageWithMetadata[] => this.toAIV4UIMessages(this.responsePersisted.db()),\n      core: (): CoreMessageV4[] =>\n        aiV4UIMessagesToAIV4CoreMessages(\n          this.toAIV4UIMessages(this.responsePersisted.db(), { transformToolPayloads: false }),\n        ),\n    },\n  };\n\n  public drainUnsavedMessages(): MastraDBMessage[] {\n    const messages = this.messages.filter(m => this.newUserMessages.has(m) || this.newResponseMessages.has(m));\n    this.newUserMessages.clear();\n    this.newResponseMessages.clear();\n    return messages.map(message => this.transformMessageForTranscript(message));\n  }\n\n  private transformToolStateDataForTranscript(data: unknown, phase: 'approval' | 'suspend'): unknown {\n    if (!data || typeof data !== 'object') {\n      return data;\n    }\n\n    const stateData = data as Record<string, unknown>;\n    const metadata = stateData.metadata ?? stateData.providerMetadata;\n    const phaseTransform = getTransformedToolPayload(metadata, 'transcript', phase);\n    const inputTransform = getTransformedToolPayload(metadata, 'transcript', 'input-available');\n    const transformedArgs =\n      phase === 'approval'\n        ? hasTransformedToolPayload(phaseTransform)\n          ? phaseTransform.transformed\n          : hasTransformedToolPayload(inputTransform)\n            ? inputTransform.transformed\n            : undefined\n        : hasTransformedToolPayload(inputTransform)\n          ? inputTransform.transformed\n          : hasTransformedToolPayload(phaseTransform)\n            ? phaseTransform.transformed\n            : undefined;\n    const transformedSuspendPayload =\n      phase === 'suspend' && hasTransformedToolPayload(phaseTransform) ? phaseTransform.transformed : undefined;\n\n    return {\n      ...stateData,\n      ...(transformedArgs !== undefined ? { args: transformedArgs } : {}),\n      ...(transformedSuspendPayload !== undefined ? { suspendPayload: transformedSuspendPayload } : {}),\n    };\n  }\n\n  private transformMessageForTranscript(message: MastraDBMessage): MastraDBMessage {\n    if (message.content?.format !== 2 || !message.content.parts) {\n      return message;\n    }\n\n    let changed = false;\n    const transformedByToolCallId = new Map<string, { args?: unknown; result?: unknown; errorText?: string }>();\n\n    const parts = message.content.parts.map(part => {\n      if (part.type === 'tool-invocation' && part.toolInvocation) {\n        const inputTransform = getTransformedToolPayload(part.providerMetadata, 'transcript', 'input-available');\n        const outputTransform =\n          part.toolInvocation.state === 'result'\n            ? (getTransformedToolPayload(part.providerMetadata, 'transcript', 'output-available') ??\n              getTransformedToolPayload(part.providerMetadata, 'transcript', 'error'))\n            : part.toolInvocation.state === 'output-error'\n              ? getTransformedToolPayload(part.providerMetadata, 'transcript', 'error')\n              : undefined;\n\n        if (!inputTransform && !outputTransform) {\n          return part;\n        }\n\n        changed = true;\n        const transformedArgs = hasTransformedToolPayload(inputTransform)\n          ? inputTransform.transformed\n          : part.toolInvocation.args;\n        const transformedResult =\n          part.toolInvocation.state === 'result'\n            ? hasTransformedToolPayload(outputTransform)\n              ? outputTransform.transformed\n              : part.toolInvocation.result\n            : undefined;\n        const transformedErrorText =\n          part.toolInvocation.state === 'output-error'\n            ? hasTransformedToolPayload(outputTransform)\n              ? (outputTransform.transformed as string)\n              : part.toolInvocation.errorText\n            : undefined;\n        transformedByToolCallId.set(part.toolInvocation.toolCallId, {\n          args: transformedArgs,\n          ...(part.toolInvocation.state === 'result' ? { result: transformedResult } : {}),\n          ...(part.toolInvocation.state === 'output-error' ? { errorText: transformedErrorText } : {}),\n        });\n\n        return {\n          ...part,\n          toolInvocation: {\n            ...part.toolInvocation,\n            args: transformedArgs,\n            ...(part.toolInvocation.state === 'result' ? { result: transformedResult } : {}),\n            ...(part.toolInvocation.state === 'output-error' ? { errorText: transformedErrorText } : {}),\n          },\n        };\n      }\n\n      if (part.type === 'data-tool-call-suspended' || part.type === 'data-tool-call-approval') {\n        changed = true;\n        return {\n          ...part,\n          data: this.transformToolStateDataForTranscript(\n            part.data,\n            part.type === 'data-tool-call-suspended' ? 'suspend' : 'approval',\n          ),\n        };\n      }\n\n      return part;\n    });\n\n    const toolInvocations = message.content.toolInvocations?.map(invocation => {\n      const transformed = transformedByToolCallId.get(invocation.toolCallId);\n      if (!transformed) {\n        return invocation;\n      }\n\n      const invocationState = invocation.state as string;\n      changed = true;\n      return {\n        ...invocation,\n        ...(transformed.args !== undefined ? { args: transformed.args } : {}),\n        ...(invocation.state === 'result' && transformed.result !== undefined ? { result: transformed.result } : {}),\n        ...(invocationState === 'output-error' && transformed.errorText !== undefined\n          ? { errorText: transformed.errorText }\n          : {}),\n      };\n    });\n\n    const metadata =\n      message.content.metadata && typeof message.content.metadata === 'object'\n        ? { ...(message.content.metadata as Record<string, unknown>) }\n        : message.content.metadata;\n    if (metadata && typeof metadata === 'object') {\n      for (const [key, phase] of [\n        ['suspendedTools', 'suspend'],\n        ['pendingToolApprovals', 'approval'],\n      ] as const) {\n        const toolStates = metadata[key];\n        if (!toolStates || typeof toolStates !== 'object') {\n          continue;\n        }\n        changed = true;\n        metadata[key] = Object.fromEntries(\n          Object.entries(toolStates as Record<string, unknown>).map(([toolName, state]) => [\n            toolName,\n            this.transformToolStateDataForTranscript(state, phase),\n          ]),\n        );\n      }\n    }\n\n    if (!changed) {\n      return message;\n    }\n\n    return {\n      ...message,\n      content: {\n        ...message.content,\n        parts,\n        ...(toolInvocations ? { toolInvocations } : {}),\n        ...(metadata ? { metadata } : {}),\n      },\n    };\n  }\n\n  public getEarliestUnsavedMessageTimestamp(): number | undefined {\n    const unsavedMessages = this.messages.filter(m => this.newUserMessages.has(m) || this.newResponseMessages.has(m));\n    if (unsavedMessages.length === 0) return undefined;\n    // Find the earliest createdAt among unsaved messages\n    return Math.min(...unsavedMessages.map(m => new Date(m.createdAt).getTime()));\n  }\n\n  /**\n   * Check if a message is a new user or response message that should be saved.\n   * Checks by message ID to handle cases where the message object may be a copy.\n   */\n  public isNewMessage(messageOrId: MastraDBMessage | string): boolean {\n    return this.stateManager.isNewMessage(messageOrId);\n  }\n\n  /**\n   * Replace a tool-invocation part matching the given toolCallId with the\n   * provided result part. Walks backwards through messages to find the match.\n   * If the message was already persisted (e.g. as a memory message), it is\n   * moved to the response source so it will be re-saved.\n   *\n   * @returns true if the tool call was found and updated, false otherwise.\n   */\n  public updateToolInvocation(\n    inputPart: Extract<MastraMessagePart, { type: 'tool-invocation' }>,\n    metadata?: Record<string, unknown>,\n  ): boolean {\n    if (!inputPart.toolInvocation?.toolCallId) {\n      return false;\n    }\n    const toolCallId = inputPart.toolInvocation.toolCallId;\n\n    for (let m = this.messages.length - 1; m >= 0; m--) {\n      const msg = this.messages[m]!;\n      if (msg.role !== 'assistant' || !msg.content?.parts) continue;\n\n      for (let i = 0; i < msg.content.parts.length; i++) {\n        const part = msg.content.parts[i];\n        if (part?.type === 'tool-invocation' && part.toolInvocation?.toolCallId === toolCallId) {\n          // Cast to access providerExecuted/providerMetadata which exist at runtime but aren't in the base type\n          const originalPart = part as typeof part & { providerExecuted?: boolean; providerMetadata?: unknown };\n          const inputPartWithMeta = inputPart as typeof inputPart & {\n            providerExecuted?: boolean;\n            providerMetadata?: unknown;\n          };\n\n          const mergedProviderMetadata =\n            originalPart.providerMetadata !== undefined || inputPartWithMeta.providerMetadata !== undefined\n              ? ({\n                  ...((originalPart.providerMetadata ?? {}) as Record<string, Record<string, AIV5Type.JSONValue>>),\n                  ...((inputPartWithMeta.providerMetadata ?? {}) as Record<string, Record<string, AIV5Type.JSONValue>>),\n                } as AIV5Type.ProviderMetadata)\n              : undefined;\n\n          msg.content.parts[i] = {\n            ...inputPart,\n            toolInvocation: {\n              ...inputPart.toolInvocation,\n              args: part.toolInvocation.args,\n            },\n            // Preserve providerExecuted from original call if not in result\n            ...(originalPart.providerExecuted !== undefined && inputPartWithMeta.providerExecuted === undefined\n              ? { providerExecuted: originalPart.providerExecuted }\n              : {}),\n            ...(mergedProviderMetadata !== undefined ? { providerMetadata: mergedProviderMetadata } : {}),\n          };\n          this.lastCreatedAt = Math.max(this.lastCreatedAt || 0, Date.now());\n          this.updateLastCreatedAt(msg);\n\n          // `backgroundTasks` is a per-toolCallId record — merge instead of\n          // overwrite so multiple concurrent background dispatches on the\n          // same assistant message don't clobber each other's metadata.\n          const existingMeta = (msg.content.metadata ?? {}) as Record<string, unknown>;\n          const incomingMeta = (metadata ?? {}) as Record<string, unknown>;\n          const existingBgTasks = existingMeta.backgroundTasks as Record<string, unknown> | undefined;\n          const incomingBgTasks = incomingMeta.backgroundTasks as Record<string, unknown> | undefined;\n\n          msg.content.metadata = {\n            ...existingMeta,\n            ...incomingMeta,\n            ...(existingBgTasks || incomingBgTasks\n              ? { backgroundTasks: { ...(existingBgTasks ?? {}), ...(incomingBgTasks ?? {}) } }\n              : {}),\n          };\n\n          // Move the message to the response source so it gets\n          // picked up by drainUnsavedMessages for re-saving.\n          if (!this.stateManager.isResponseMessage(msg)) {\n            this.stateManager.removeMessage(msg);\n            this.stateManager.addToSource(msg, 'response');\n          }\n\n          return true;\n        }\n      }\n    }\n    this.logger?.warn(`updateToolInvocation: no matching tool call found for toolCallId=${toolCallId}`);\n    return false;\n  }\n\n  /**\n   * Append a `step-start` boundary to the last assistant message.\n   * This marks the beginning of a new loop iteration so that\n   * `convertToModelMessages` splits sequential tool-call turns into\n   * separate message blocks instead of collapsing them into one.\n   *\n   * Respects sealed messages (post-observation) — if the last assistant\n   * message is sealed, the step-start is not added.\n   *\n   * If the message was loaded from memory it is moved to the response\n   * source so the updated content is re-saved.\n   */\n  public stepStart(): boolean {\n    const lastMsg = this.messages[this.messages.length - 1];\n    if (!lastMsg || lastMsg.role !== 'assistant' || !lastMsg.content?.parts) {\n      return false;\n    }\n\n    if (MessageMerger.isSealed(lastMsg)) {\n      return false;\n    }\n\n    // Don't add a duplicate step-start\n    const lastPart = lastMsg.content.parts[lastMsg.content.parts.length - 1];\n    if (lastPart?.type === 'step-start') {\n      return false;\n    }\n\n    lastMsg.content.parts.push(stampPart({ type: 'step-start' as const }));\n\n    // Ensure the mutated message is persisted\n    if (!this.stateManager.isResponseMessage(lastMsg)) {\n      this.stateManager.removeMessage(lastMsg);\n      this.stateManager.addToSource(lastMsg, 'response');\n    }\n\n    return true;\n  }\n\n  public markResponseMessageBoundary(messageId?: string): boolean {\n    const message = messageId\n      ? this.messages.find(message => message.id === messageId)\n      : [...this.messages].reverse().find(message => message.role === 'assistant');\n\n    if (!message || message.role !== 'assistant') {\n      return false;\n    }\n\n    message.content.metadata = {\n      ...(message.content.metadata ?? {}),\n      mastra: {\n        ...((message.content.metadata?.mastra as Record<string, unknown> | undefined) ?? {}),\n        responseBoundary: true,\n      },\n    };\n\n    if (!this.stateManager.isResponseMessage(message)) {\n      this.stateManager.removeMessage(message);\n      this.stateManager.addToSource(message, 'response');\n    }\n\n    return true;\n  }\n\n  public enrichLastStepStart(model: string): boolean {\n    const lastMsg = this.messages[this.messages.length - 1];\n    if (!lastMsg || lastMsg.role !== 'assistant' || !lastMsg.content?.parts) {\n      return false;\n    }\n\n    if (MessageMerger.isSealed(lastMsg)) {\n      return false;\n    }\n\n    for (let i = lastMsg.content.parts.length - 1; i >= 0; i--) {\n      const part = lastMsg.content.parts[i];\n      if (part?.type !== 'step-start') {\n        continue;\n      }\n\n      // Only stamp step-starts that haven't already been attributed. A prior\n      // iteration (or a re-used message loaded from memory) may have already\n      // stamped its model, and overwriting it would mis-attribute history.\n      if (part.model) {\n        return false;\n      }\n\n      part.model = model;\n\n      if (!this.stateManager.isResponseMessage(lastMsg)) {\n        this.stateManager.removeMessage(lastMsg);\n        this.stateManager.addToSource(lastMsg, 'response');\n      }\n\n      return true;\n    }\n\n    return false;\n  }\n\n  public getSystemMessages(tag?: string): CoreMessageV4[] {\n    if (tag) {\n      return this.taggedSystemMessages[tag] || [];\n    }\n    return this.systemMessages;\n  }\n\n  /**\n   * Get all system messages (both tagged and untagged)\n   * @returns Array of all system messages\n   */\n  public getAllSystemMessages(): CoreMessageV4[] {\n    return [...this.systemMessages, ...Object.values(this.taggedSystemMessages).flat()];\n  }\n\n  /**\n   * Clear system messages, optionally for a specific tag\n   * @param tag - If provided, only clears messages with this tag. Otherwise clears untagged messages.\n   */\n  public clearSystemMessages(tag?: string): this {\n    if (tag) {\n      delete this.taggedSystemMessages[tag];\n    } else {\n      this.systemMessages = [];\n    }\n    return this;\n  }\n\n  /**\n   * Replace the untagged system message bucket with the provided array while\n   * leaving tagged system message buckets (owned by other processors) intact.\n   * @param messages - Array of system messages to set as untagged\n   */\n  public replaceAllSystemMessages(messages: CoreMessageV4[]): this {\n    this.systemMessages = [];\n\n    for (const message of messages) {\n      if (message.role !== 'system') continue;\n      this.systemMessages.push(message);\n    }\n\n    return this;\n  }\n\n  public addSystem(\n    messages:\n      | CoreMessageV4\n      | CoreMessageV4[]\n      | AIV6Type.ModelMessage\n      | AIV6Type.ModelMessage[]\n      | AIV5Type.ModelMessage\n      | AIV5Type.ModelMessage[]\n      | MastraDBMessage\n      | MastraDBMessage[]\n      | string\n      | string[]\n      | null,\n    tag?: string,\n  ) {\n    if (!messages) return this;\n    for (const message of Array.isArray(messages) ? messages : [messages]) {\n      this.addOneSystem(message, tag);\n    }\n    return this;\n  }\n\n  private addOneSystem(\n    message: CoreMessageV4 | AIV6Type.ModelMessage | AIV5Type.ModelMessage | MastraDBMessage | string,\n    tag?: string,\n  ) {\n    const coreMessage = systemMessageToAIV4Core(message);\n\n    if (coreMessage.role !== `system`) {\n      throw new Error(\n        `Expected role \"system\" but saw ${coreMessage.role} for message ${JSON.stringify(coreMessage, null, 2)}`,\n      );\n    }\n\n    if (tag && !this.isDuplicateSystem(coreMessage, tag)) {\n      this.taggedSystemMessages[tag] ||= [];\n      this.taggedSystemMessages[tag].push(coreMessage);\n      if (this.isRecording) {\n        this.recordedEvents.push({\n          type: 'addSystem',\n          tag,\n          message: coreMessage,\n        });\n      }\n    } else if (!tag && !this.isDuplicateSystem(coreMessage)) {\n      this.systemMessages.push(coreMessage);\n      if (this.isRecording) {\n        this.recordedEvents.push({\n          type: 'addSystem',\n          message: coreMessage,\n        });\n      }\n    }\n  }\n\n  private isDuplicateSystem(message: CoreMessageV4, tag?: string) {\n    if (tag) {\n      if (!this.taggedSystemMessages[tag]) return false;\n      return this.taggedSystemMessages[tag].some(\n        m =>\n          CacheKeyGenerator.fromAIV4CoreMessageContent(m.content) ===\n          CacheKeyGenerator.fromAIV4CoreMessageContent(message.content),\n      );\n    }\n    return this.systemMessages.some(\n      m =>\n        CacheKeyGenerator.fromAIV4CoreMessageContent(m.content) ===\n        CacheKeyGenerator.fromAIV4CoreMessageContent(message.content),\n    );\n  }\n\n  private getMessageById(id: string) {\n    return this.messages.find(m => m.id === id);\n  }\n\n  private shouldReplaceMessage(message: MastraDBMessage): { exists: boolean; shouldReplace?: boolean; id?: string } {\n    if (!this.messages.length) return { exists: false };\n\n    if (!(`id` in message) || !message?.id) {\n      return { exists: false };\n    }\n\n    const existingMessage = this.getMessageById(message.id);\n    if (!existingMessage) return { exists: false };\n\n    return {\n      exists: true,\n      shouldReplace: !messagesAreEqual(existingMessage, message),\n      id: existingMessage.id,\n    };\n  }\n\n  private addOne(message: MessageInput, messageSource: MessageSource) {\n    if (\n      (!(`content` in message) ||\n        (!message.content &&\n          // allow empty strings\n          typeof message.content !== 'string')) &&\n      (!(`parts` in message) || !message.parts)\n    ) {\n      throw new MastraError({\n        id: 'INVALID_MESSAGE_CONTENT',\n        domain: ErrorDomain.AGENT,\n        category: ErrorCategory.USER,\n        text: `Message with role \"${message.role}\" must have either a 'content' property (string or array) or a 'parts' property (array) that is not empty, null, or undefined. Received message: ${JSON.stringify(message, null, 2)}`,\n        details: {\n          role: message.role as string,\n          messageSource,\n          hasContent: 'content' in message,\n          hasParts: 'parts' in message,\n        },\n      });\n    }\n\n    if (message.role === `system`) {\n      // In the past system messages were accidentally stored in the db. these should be ignored because memory is not supposed to store system messages.\n      if (messageSource === `memory`) return null;\n\n      // Check if the message is in a supported format for system messages\n      const isSupportedSystemFormat =\n        TypeDetector.isAIV4CoreMessage(message) ||\n        TypeDetector.isAIV6CoreMessage(message) ||\n        TypeDetector.isAIV5CoreMessage(message) ||\n        TypeDetector.isMastraDBMessage(message);\n\n      if (isSupportedSystemFormat) {\n        return this.addSystem(message);\n      }\n\n      // if we didn't add the message and we didn't ignore this intentionally, then it's a problem!\n      throw new MastraError({\n        id: 'INVALID_SYSTEM_MESSAGE_FORMAT',\n        domain: ErrorDomain.AGENT,\n        category: ErrorCategory.USER,\n        text: `Invalid system message format. System messages must be CoreMessage format with 'role' and 'content' properties. The content should be a string or valid content array.`,\n        details: {\n          messageSource,\n          receivedMessage: JSON.stringify(message, null, 2),\n        },\n      });\n    }\n\n    const messageV2 = convertInputToMastraDBMessage(message, messageSource, this.createAdapterContext());\n    const signalMetadata =\n      messageV2.role === 'signal'\n        ? (messageV2.content.metadata?.signal as { acceptedAt?: string; createdAt?: string } | undefined)\n        : undefined;\n    if (messageSource === 'input' && messageV2.role === 'signal' && !signalMetadata?.acceptedAt) {\n      const acceptedAt = signalMetadata?.createdAt ?? messageV2.createdAt.toISOString();\n      messageV2.createdAt = this.generateCreatedAt(messageSource, messageV2.createdAt);\n      messageV2.content.metadata = {\n        ...messageV2.content.metadata,\n        signal: {\n          ...signalMetadata,\n          createdAt: messageV2.createdAt.toISOString(),\n          acceptedAt,\n        },\n      };\n    }\n\n    const { exists, shouldReplace, id } = this.shouldReplaceMessage(messageV2);\n\n    const latestSealedIndex = this.messages.findLastIndex(message => MessageMerger.isSealed(message));\n    const latestMessage = this.messages.at(-1);\n    const latestMessageIndex = this.messages.length - 1;\n    const latestMessageIsAfterSealedBoundary = latestSealedIndex === -1 || latestMessageIndex > latestSealedIndex;\n\n    if (messageSource === `memory`) {\n      for (const existingMessage of this.messages) {\n        // don't double store any messages\n        if (messagesAreEqual(existingMessage, messageV2)) {\n          return;\n        }\n      }\n    }\n\n    const replacementTarget = exists && id ? this.messages.find(m => m.id === id) : undefined;\n    const hasSealedReplacementTarget = !!replacementTarget && MessageMerger.isSealed(replacementTarget);\n\n    // Keep this replacement-target guard here instead of MessageMerger.shouldMerge().\n    // shouldMerge() only decides whether to append to the latest assistant message,\n    // but replace-by-id can target an older sealed message elsewhere in the list.\n    const isLatestFromMemory = latestMessage ? this.memoryMessages.has(latestMessage) : false;\n    const shouldMerge =\n      latestMessageIsAfterSealedBoundary &&\n      !hasSealedReplacementTarget &&\n      MessageMerger.shouldMerge(latestMessage, messageV2, messageSource, isLatestFromMemory, this._agentNetworkAppend);\n\n    if (shouldMerge && latestMessage) {\n      // Delegate merge logic to MessageMerger\n      MessageMerger.merge(latestMessage, messageV2);\n      this.updateLastCreatedAt(latestMessage);\n\n      // If latest message gets appended to, it should be added to the proper source\n      this.pushMessageToSource(latestMessage, messageSource);\n    }\n    // Else the last message and this message are not both assistant messages OR an existing message has been updated and should be replaced. add a new message to the array or update an existing one.\n    else {\n      let existingIndex = -1;\n      if (shouldReplace) {\n        existingIndex = this.messages.findIndex(m => m.id === id);\n      }\n      const existingMessage = existingIndex !== -1 && this.messages[existingIndex];\n\n      if (shouldReplace && existingMessage) {\n        const existingIsAtOrBeforeSealedBoundary = latestSealedIndex !== -1 && existingIndex <= latestSealedIndex;\n\n        // If the existing message is sealed (e.g., after observation), don't replace it.\n        // Instead, generate a new ID for the incoming message and add it as a new message.\n        if (MessageMerger.isSealed(existingMessage)) {\n          // Find the last part with sealedAt metadata in the EXISTING message.\n          // The existing message has the seal boundary marker from insertObservationMarker.\n          const existingParts = existingMessage.content?.parts || [];\n          let sealedPartCount = 0;\n\n          for (let i = existingParts.length - 1; i >= 0; i--) {\n            const part = existingParts[i] as { metadata?: { mastra?: { sealedAt?: number } } };\n            if (part?.metadata?.mastra?.sealedAt) {\n              // The seal is at index i, so sealed content is parts 0 through i (inclusive)\n              sealedPartCount = i + 1;\n              break;\n            }\n          }\n\n          // If no sealedAt found, use the entire existing message length as the boundary\n          if (sealedPartCount === 0) {\n            sealedPartCount = existingParts.length;\n          }\n\n          // Get parts from incoming message that are beyond the sealed boundary\n          const incomingParts = messageV2.content.parts;\n\n          let newParts: typeof incomingParts;\n\n          if (incomingParts.length <= sealedPartCount) {\n            // Incoming message has fewer or equal parts than the sealed boundary.\n            // Check if these are truly stale (same content as the sealed message) or\n            // new content flushed independently (e.g., text deltas flushed with the\n            // same messageId but only containing a text part).\n            if (messagesAreEqual(existingMessage, messageV2)) {\n              // Stale message, ignore - don't replace, don't create new\n              return this;\n            }\n            // Not stale — these are fresh parts (e.g., a text flush). Treat all as new.\n            newParts = incomingParts;\n          } else {\n            newParts = incomingParts.slice(sealedPartCount);\n          }\n\n          // Only create a new message if there are actually new parts\n          if (newParts.length > 0) {\n            // Generate a new ID for the incoming message\n            messageV2.id = this.generateMessageId?.({ idType: 'message', source: 'memory' }) ?? randomUUID();\n            // Replace the parts with only the new ones\n            messageV2.content.parts = newParts;\n            // Ensure the new message has a timestamp after the sealed message\n            if (messageV2.createdAt <= existingMessage.createdAt) {\n              messageV2.createdAt = new Date(existingMessage.createdAt.getTime() + 1);\n            }\n            this.messages.push(messageV2);\n          }\n          // If no new parts, don't add anything (the sealed message already has all the content)\n        } else if (existingIsAtOrBeforeSealedBoundary) {\n          messageV2.id = this.generateMessageId?.({ idType: 'message', source: 'memory' }) ?? randomUUID();\n          if (messageV2.createdAt <= existingMessage.createdAt) {\n            messageV2.createdAt = new Date(existingMessage.createdAt.getTime() + 1);\n          }\n          this.messages.push(messageV2);\n        } else {\n          const isExistingFromMemory = this.memoryMessages.has(existingMessage);\n          const shouldMergeIntoExisting = MessageMerger.shouldMerge(\n            existingMessage,\n            messageV2,\n            messageSource,\n            isExistingFromMemory,\n            this._agentNetworkAppend,\n          );\n          if (shouldMergeIntoExisting) {\n            MessageMerger.merge(existingMessage, messageV2);\n            this.updateLastCreatedAt(existingMessage);\n            this.pushMessageToSource(existingMessage, messageSource);\n            // Sort messages and return early — existingMessage stays in messages[] and its Sets\n            this.messages.sort((a, b) => a.createdAt.getTime() - b.createdAt.getTime());\n            return this;\n          }\n          this.messages[existingIndex] = messageV2;\n        }\n      } else if (!exists) {\n        this.messages.push(messageV2);\n      }\n\n      this.pushMessageToSource(messageV2, messageSource);\n    }\n\n    for (const storedMessage of this.messages) {\n      this.updateLastCreatedAt(storedMessage);\n    }\n\n    // make sure messages are always stored in order of when they were created!\n    this.messages.sort((a, b) => a.createdAt.getTime() - b.createdAt.getTime());\n\n    return this;\n  }\n\n  private pushMessageToSource(messageV2: MastraDBMessage, messageSource: MessageSource) {\n    this.stateManager.addToSource(messageV2, messageSource);\n  }\n\n  private lastCreatedAt?: number;\n\n  private updateLastCreatedAt(message: MastraDBMessage): void {\n    // Message-level createdAt controls transcript ordering and OM observation boundaries.\n    // Part timestamps are event metadata within a message and must not advance the\n    // ordering watermark used to timestamp later messages/signals.\n    this.lastCreatedAt = Math.max(this.lastCreatedAt || 0, message.createdAt.getTime());\n  }\n\n  // this makes sure messages added in order will always have a date atleast 1ms apart.\n  private generateCreatedAt(messageSource: MessageSource, start?: unknown): Date {\n    // Normalize timestamp\n    const startDate: Date | undefined =\n      start instanceof Date\n        ? start\n        : typeof start === 'string' || typeof start === 'number'\n          ? new Date(start)\n          : undefined;\n\n    if (startDate && !this.lastCreatedAt) {\n      this.lastCreatedAt = startDate.getTime();\n      return startDate;\n    }\n\n    if (startDate && messageSource === `memory`) {\n      // Preserve user-provided timestamps for memory messages to avoid re-ordering\n      // Messages without timestamps will fall through to get generated incrementing timestamps\n      return startDate;\n    }\n\n    const now = new Date();\n    const nowTime = startDate?.getTime() || now.getTime();\n    const lastTime = this.lastCreatedAt || 0;\n\n    // make sure our new message is created later than the latest known ordering timestamp\n    // it's expected that messages are added to the list in order if they don't have a createdAt date on them\n    if (nowTime <= lastTime) {\n      const newDate = new Date(lastTime + 1);\n      this.lastCreatedAt = newDate.getTime();\n      return newDate;\n    }\n\n    this.lastCreatedAt = nowTime;\n    return startDate ?? now;\n  }\n\n  private newMessageId(role?: string): string {\n    if (this.generateMessageId) {\n      return this.generateMessageId({\n        idType: 'message',\n        source: 'agent',\n        threadId: this.memoryInfo?.threadId,\n        resourceId: this.memoryInfo?.resourceId,\n        role,\n      });\n    }\n    return randomUUID();\n  }\n\n  private createAdapterContext() {\n    return {\n      memoryInfo: this.memoryInfo,\n      newMessageId: () => this.newMessageId(),\n      generateCreatedAt: (messageSource: MessageSource, start?: unknown) =>\n        this.generateCreatedAt(messageSource, start),\n      dbMessages: this.messages,\n    };\n  }\n}\n","import type * as AIV4 from '@internal/ai-sdk-v4';\nimport type * as AIV5 from '@internal/ai-sdk-v5';\nimport type * as AIV6 from '@internal/ai-v6';\n\nimport type { MastraDBMessage, UIMessageWithMetadata, MessageListInput } from '../index';\n\nimport { MessageList } from '../index';\n\n/**\n * Available output formats for message conversion.\n *\n * @remarks\n * - `Mastra.V2` - Current database storage format, compatible with AI SDK v4\n * - `AIV4.UI` - AI SDK v4 UIMessage format (for frontend components)\n * - `AIV4.Core` - AI SDK v4 CoreMessage format (for LLM API calls)\n * - `AIV5.UI` - AI SDK v5 UIMessage format (for frontend components)\n * - `AIV5.Model` - AI SDK v5 ModelMessage format (for LLM API calls)\n * - `AIV6.UI` - AI SDK v6 UIMessage format (for frontend components)\n */\nexport type OutputFormat = 'Mastra.V2' | 'AIV4.UI' | 'AIV4.Core' | 'AIV5.UI' | 'AIV5.Model' | 'AIV6.UI';\n\nclass MessageConverter {\n  private messageList: MessageList;\n\n  constructor(messages: MessageListInput) {\n    this.messageList = new MessageList();\n    // Use 'memory' source to preserve messages exactly as provided\n    // without any transformations or combinations\n    this.messageList.add(messages, 'memory');\n  }\n\n  /**\n   * Convert messages to Mastra V2 format (current database format).\n   * @param format - The format 'Mastra.V2'\n   * @returns Array of messages in Mastra V2 format, used for database storage\n   */\n  to(format: 'Mastra.V2'): MastraDBMessage[];\n  /**\n   * Convert messages to AI SDK v4 UIMessage format.\n   * @param format - The format 'AIV4.UI'\n   * @returns Array of UIMessages for use with AI SDK v4 frontend components\n   */\n  to(format: 'AIV4.UI'): UIMessageWithMetadata[] | AIV4.UIMessage[];\n  /**\n   * Convert messages to AI SDK v4 CoreMessage format.\n   * @param format - The format 'AIV4.Core'\n   * @returns Array of CoreMessages for AI SDK v4 LLM API calls\n   */\n  to(format: 'AIV4.Core'): AIV4.CoreMessage[];\n  /**\n   * Convert messages to AI SDK v5 UIMessage format.\n   * @param format - The format 'AIV5.UI'\n   * @returns Array of UIMessages for use with AI SDK v5 frontend components\n   */\n  to(format: 'AIV5.UI'): AIV5.UIMessage[];\n  /**\n   * Convert messages to AI SDK v5 ModelMessage format.\n   * @param format - The format 'AIV5.Model'\n   * @returns Array of ModelMessages for AI SDK v5 LLM API calls\n   */\n  to(format: 'AIV5.Model'): AIV5.ModelMessage[];\n  /**\n   * Convert messages to AI SDK v6 UIMessage format.\n   * @param format - The format 'AIV6.UI'\n   * @returns Array of UIMessages for use with AI SDK v6 frontend components\n   */\n  to(format: 'AIV6.UI'): AIV6.UIMessage[];\n  to(format: OutputFormat): unknown[] {\n    switch (format) {\n      // Old format keys (backward compatibility)\n      case 'Mastra.V2':\n        return this.messageList.get.all.db();\n      case 'AIV4.UI':\n        return this.messageList.get.all.aiV4.ui();\n      case 'AIV4.Core':\n        return this.messageList.get.all.aiV4.core();\n      case 'AIV5.UI':\n        return this.messageList.get.all.aiV5.ui();\n      case 'AIV5.Model':\n        return this.messageList.get.all.aiV5.model();\n      case 'AIV6.UI':\n        return this.messageList.get.all.aiV6.ui();\n      default:\n        throw new Error(`Unsupported output format: ${format}`);\n    }\n  }\n}\n\n/**\n * Convert messages from any supported format to another format.\n *\n * @param messages - Input messages in any supported format. Accepts:\n *   - AI SDK v4 formats: UIMessage, CoreMessage, Message\n *   - AI SDK v5 formats: UIMessage, ModelMessage\n *   - Mastra formats: MastraMessageV1 (input only), MastraDBMessage\n *   - Simple strings (will be converted to user messages)\n *   - Arrays of any of the above\n *\n * @returns A converter object with a `.to()` method to specify the output format\n *\n * @example\n * ```typescript\n * import { convertMessages } from '@mastra/core/agent';\n *\n * // Convert AI SDK v5 UI messages to v4 Core messages\n * const v4CoreMessages = convertMessages(v5UIMessages).to('AIV4.Core');\n *\n * // Convert database messages (Mastra V2) to AI SDK v5 UI messages for frontend\n * const v5UIMessages = convertMessages(dbMessages).to('AIV5.UI');\n *\n * // Convert any format to Mastra's V2 format for database storage\n * const mastraV2Messages = convertMessages(anyMessages).to('Mastra.V2');\n *\n * // Convert simple strings to formatted messages\n * const messages = convertMessages(['Hello', 'How are you?']).to('AIV5.UI');\n *\n * // Convert v4 UI messages to v5 Model messages for LLM calls\n * const modelMessages = convertMessages(v4UIMessages).to('AIV5.Model');\n * ```\n *\n * @remarks\n * This utility handles all message format conversions internally, including:\n * - Tool invocations and results\n * - File attachments\n * - Multi-part messages\n * - System messages\n * - Metadata preservation where possible\n */\nexport function convertMessages(messages: MessageListInput): MessageConverter {\n  return new MessageConverter(messages);\n}\n"]}