Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window. Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.

ComputeTokensResponse

Response message for ComputeTokens RPC call.

Fields

tokensInfo[] object (TokensInfo)

Lists of tokens info from the input. A ComputeTokensRequest could have multiple instances with a prompt in each instance. We also need to return lists of tokens info for the request with multiple instances.

JSON representation
{ "tokensInfo": [ { object (`TokensInfo`) } ] }

TokensInfo

Tokens info with a list of tokens and the corresponding list of token ids.

Fields

tokens[] string (bytes format)

A list of tokens from the input.

A base64-encoded string.

tokenIds[] string (int64 format)

A list of token ids from the input.

role string

Optional. Optional fields for the role from the corresponding Content.

JSON representation
{ "tokens": [ string ], "tokenIds": [ string ], "role": string }