{ "servicePath": "", "version_module": true, "id": "generativelanguage:v1", "title": "Gemini API", "schemas": { "WebSearch": { "id": "WebSearch", "properties": {}, "type": "object", "description": "Standard web search for grounding and related configurations." }, "InlinedEmbedContentRequest": { "description": "The request to be processed in the batch.", "type": "object", "id": "InlinedEmbedContentRequest", "properties": { "metadata": { "type": "object", "description": "Optional. The metadata to be associated with the request.", "additionalProperties": { "type": "any", "description": "Properties of the object." } }, "request": { "$ref": "EmbedContentRequest", "description": "Required. The request to be processed in the batch." } } }, "Status": { "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", "properties": { "details": { "type": "array", "items": { "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." } }, "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use." }, "code": { "format": "int32", "description": "The status code, which should be an enum value of google.rpc.Code.", "type": "integer" }, "message": { "type": "string", "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client." } }, "id": "Status", "type": "object" }, "FunctionResponseFileData": { "id": "FunctionResponseFileData", "type": "object", "properties": { "fileUri": { "description": "Required. URI.", "type": "string" }, "mimeType": { "description": "The IANA standard MIME type of the source data. If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Multimodal function responses](https://aistudio.google.com/docs/function-calling#multimodal) and [Supported file formats](https://aistudio.google.com/docs/file-input-methods#supported-content-types).", "type": "string" }, "displayName": { "description": "Optional. Display name of the file. Used to provide a label or filename to distinguish file data, and to reference the file from `FunctionResponse.response` (for example, via `{\"$ref\": \"DISPLAY_NAME\"}`).", "type": "string" } }, "description": "URI based data for function response." }, "StringList": { "type": "object", "description": "User provided string values assigned to a single metadata key.", "id": "StringList", "properties": { "values": { "type": "array", "items": { "type": "string" }, "description": "The string values of the metadata to store." } } }, "VideoMetadata": { "id": "VideoMetadata", "type": "object", "properties": { "startOffset": { "type": "string", "format": "google-duration", "description": "Optional. The start offset of the video." }, "endOffset": { "description": "Optional. The end offset of the video.", "format": "google-duration", "type": "string" }, "fps": { "format": "double", "type": "number", "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]." } }, "description": "Metadata describes the input video content. Set this in `Part.video_metadata` or `FunctionResponsePart.video_metadata` when `inline_data` or `file_data` contains video to configure static video preprocessing (such as time clipping, frame rate, maximum frame count, or extracted content layers)." }, "GenerateContentRequest": { "description": "Request to generate a completion from the model.", "type": "object", "id": "GenerateContentRequest", "properties": { "serviceTier": { "enumDescriptions": [ "Default service tier, which is standard.", "Standard service tier.", "Flex service tier.", "Priority service tier." ], "type": "string", "enum": [ "unspecified", "standard", "flex", "priority" ], "description": "Optional. The service tier of the request." }, "generationConfig": { "description": "Optional. Configuration options for model generation and outputs.", "$ref": "GenerationConfig" }, "contents": { "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://aistudio.google.com/docs/text-generation#multi-turn-conversations), this is a repeated field that contains the conversation history and the latest request.", "type": "array", "items": { "$ref": "Content" } }, "systemInstruction": { "description": "Optional. Developer set [system instruction(s)](https://aistudio.google.com/docs/text-generation#system-instructions). Currently, text only.", "$ref": "Content" }, "store": { "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", "type": "boolean" }, "safetySettings": { "type": "array", "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY, HARM_CATEGORY_JAILBREAK are supported. Refer to the [guide](https://aistudio.google.com/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://aistudio.google.com/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", "items": { "$ref": "SafetySetting" } }, "tools": { "type": "array", "items": { "$ref": "Tool" }, "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://aistudio.google.com/docs/function-calling) and the [Code execution](https://aistudio.google.com/docs/code-execution) guides to learn more." }, "continuationToken": { "description": "Optional. An opaque continuation token used to resume generation from a previous `GenerateContent` or `StreamGenerateContent` response that stopped with `finish_reason` set to `CONTINUATION`. Note that `contents` is mandatory and must identically replicate the prompt and conversation history from the initial request when continuation token is provided in a request.", "format": "byte", "type": "string" }, "toolConfig": { "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://aistudio.google.com/docs/function-calling#function_calling_modes) for a usage example.", "$ref": "ToolConfig" }, "model": { "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" } } }, "ImageResponseFormat": { "properties": { "aspectRatio": { "enumDescriptions": [ "Default value. This value is unused.", "1:1 aspect ratio.", "2:3 aspect ratio.", "3:2 aspect ratio.", "3:4 aspect ratio.", "4:3 aspect ratio.", "4:5 aspect ratio.", "5:4 aspect ratio.", "9:16 aspect ratio.", "16:9 aspect ratio.", "21:9 aspect ratio.", "1:8 aspect ratio.", "8:1 aspect ratio.", "1:4 aspect ratio.", "4:1 aspect ratio." ], "type": "string", "enum": [ "ASPECT_RATIO_UNSPECIFIED", "ASPECT_RATIO_ONE_BY_ONE", "ASPECT_RATIO_TWO_BY_THREE", "ASPECT_RATIO_THREE_BY_TWO", "ASPECT_RATIO_THREE_BY_FOUR", "ASPECT_RATIO_FOUR_BY_THREE", "ASPECT_RATIO_FOUR_BY_FIVE", "ASPECT_RATIO_FIVE_BY_FOUR", "ASPECT_RATIO_NINE_BY_SIXTEEN", "ASPECT_RATIO_SIXTEEN_BY_NINE", "ASPECT_RATIO_TWENTY_ONE_BY_NINE", "ASPECT_RATIO_ONE_BY_EIGHT", "ASPECT_RATIO_EIGHT_BY_ONE", "ASPECT_RATIO_ONE_BY_FOUR", "ASPECT_RATIO_FOUR_BY_ONE" ], "description": "Optional. The aspect ratio for the image output." }, "imageSize": { "type": "string", "enum": [ "IMAGE_SIZE_UNSPECIFIED", "IMAGE_SIZE_FIVE_TWELVE", "IMAGE_SIZE_ONE_K", "IMAGE_SIZE_TWO_K", "IMAGE_SIZE_FOUR_K" ], "description": "Optional. The size of the image output.", "enumDescriptions": [ "Default value. This value is unused.", "512px image size.", "1K image size.", "2K image size.", "4K image size." ] }, "mimeType": { "description": "Optional. The MIME type of the image output.", "type": "string", "enum": [ "MIME_TYPE_UNSPECIFIED", "IMAGE_JPEG" ], "enumDescriptions": [ "Default value. This value is unused.", "JPEG image format." ] }, "delivery": { "type": "string", "enum": [ "DELIVERY_UNSPECIFIED", "INLINE", "URI" ], "enumDescriptions": [ "Default value. This value is unused.", "Image data is returned inline in the response.", "Image data is returned as a URI." ], "description": "Optional. The delivery mode for the image output." } }, "description": "Configuration for image output format.", "id": "ImageResponseFormat", "type": "object" }, "GoogleMaps": { "properties": { "enableWidget": { "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", "type": "boolean" } }, "type": "object", "id": "GoogleMaps", "description": "The GoogleMaps Tool that provides geospatial context for the user's query." }, "GroundingPassageId": { "description": "Identifier for a part within a `GroundingPassage`.", "properties": { "passageId": { "type": "string", "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", "readOnly": true }, "partIndex": { "format": "int32", "type": "integer", "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", "readOnly": true } }, "id": "GroundingPassageId", "type": "object" }, "GroundingMetadata": { "properties": { "googleMapsWidgetContextToken": { "type": "string", "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled." }, "groundingSupports": { "type": "array", "items": { "$ref": "GroundingSupport" }, "description": "List of grounding support." }, "imageSearchQueries": { "description": "Image search queries used for grounding.", "items": { "type": "string" }, "type": "array" }, "searchEntryPoint": { "description": "Optional. Google search entry for the following-up web searches.", "$ref": "SearchEntryPoint" }, "groundingChunks": { "type": "array", "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", "items": { "$ref": "GroundingChunk" } }, "webSearchQueries": { "description": "Web search queries for the following-up web search.", "type": "array", "items": { "type": "string" } }, "retrievalMetadata": { "description": "Metadata related to retrieval in the grounding flow.", "$ref": "RetrievalMetadata" } }, "description": "Metadata returned to client when grounding is enabled.", "type": "object", "id": "GroundingMetadata" }, "ImportFileRequest": { "type": "object", "properties": { "fileName": { "description": "Required. The name of the `File` to import. Example: `files/abc-123`", "type": "string" }, "chunkingConfig": { "$ref": "ChunkingConfig", "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters." }, "customMetadata": { "type": "array", "items": { "$ref": "CustomMetadata" }, "description": "Custom metadata to be associated with the file." } }, "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", "id": "ImportFileRequest" }, "Model": { "id": "Model", "description": "Information about a Generative Language Model.", "type": "object", "properties": { "description": { "description": "A short description of the model.", "type": "string" }, "topK": { "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", "type": "integer", "format": "int32" }, "inputTokenLimit": { "description": "Maximum number of input tokens allowed for this model.", "type": "integer", "format": "int32" }, "maxTemperature": { "format": "float", "description": "The maximum temperature this model can use.", "type": "number" }, "temperature": { "format": "float", "type": "number", "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model." }, "thinking": { "description": "Whether the model supports thinking.", "type": "boolean" }, "outputTokenLimit": { "format": "int32", "type": "integer", "description": "Maximum number of output tokens available for this model." }, "displayName": { "type": "string", "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters." }, "baseModelId": { "type": "string", "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`" }, "name": { "type": "string", "description": "Required. The resource name of the `Model`. Refer to [Model variants](https://aistudio.google.com/docs/models#model-versions) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * \"{base_model_id}-{version}\" Examples: * `models/gemini-1.5-flash-001`" }, "version": { "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", "type": "string" }, "supportedGenerationMethods": { "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", "type": "array", "items": { "type": "string" } }, "topP": { "type": "number", "description": "For [Nucleus sampling](https://aistudio.google.com/docs/prompting-strategies#model-parameters). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", "format": "float" } } }, "MediaResolution": { "type": "object", "properties": { "level": { "type": "string", "enum": [ "MEDIA_RESOLUTION_UNSPECIFIED", "MEDIA_RESOLUTION_LOW", "MEDIA_RESOLUTION_MEDIUM", "MEDIA_RESOLUTION_HIGH", "MEDIA_RESOLUTION_ULTRA_HIGH" ], "description": "The tokenization quality used for given media. for Gemini API support .", "enumDescriptions": [ "Media resolution has not been set.", "Media resolution set to low.", "Media resolution set to medium.", "Media resolution set to high.", "Media resolution set to ultra high." ] } }, "description": "Media resolution for tokenization.", "id": "MediaResolution" }, "ModelStatus": { "properties": { "retirementTime": { "type": "string", "description": "The time at which the model will be retired.", "format": "google-datetime" }, "message": { "description": "A message explaining the model status.", "type": "string" }, "modelStage": { "enumDeprecated": [ false, true, false, false, false, false, true, false ], "description": "The stage of the underlying model.", "enum": [ "MODEL_STAGE_UNSPECIFIED", "UNSTABLE_EXPERIMENTAL", "EXPERIMENTAL", "PREVIEW", "STABLE", "LEGACY", "DEPRECATED", "RETIRED" ], "enumDescriptions": [ "Unspecified model stage.", "The underlying model is subject to lots of tunings.", "Models in this stage are for experimental purposes only.", "Models in this stage are more mature than experimental models.", "Models in this stage are considered stable and ready for production use.", "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", "Models in this stage are deprecated. These models cannot be used.", "Models in this stage are retired. These models cannot be used." ], "type": "string" } }, "type": "object", "id": "ModelStatus", "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable." }, "PromptFeedback": { "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", "id": "PromptFeedback", "properties": { "blockReason": { "enumDescriptions": [ "Default value. This value is unused.", "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", "Prompt was blocked due to unknown reasons.", "Prompt was blocked due to the terms which are included from the terminology blocklist.", "Prompt was blocked due to prohibited content.", "Candidates blocked due to unsafe image generation content." ], "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", "type": "string", "enum": [ "BLOCK_REASON_UNSPECIFIED", "SAFETY", "OTHER", "BLOCKLIST", "PROHIBITED_CONTENT", "IMAGE_SAFETY" ] }, "safetyRatings": { "items": { "$ref": "SafetyRating" }, "description": "Ratings for safety of the prompt. There is at most one rating per category.", "type": "array" } }, "type": "object" }, "File": { "properties": { "displayName": { "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: \"Welcome Image\"", "type": "string" }, "createTime": { "description": "Output only. The timestamp of when the `File` was created.", "type": "string", "format": "google-datetime", "readOnly": true }, "name": { "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`", "type": "string" }, "sizeBytes": { "description": "Output only. Size of the file in bytes.", "readOnly": true, "format": "int64", "type": "string" }, "state": { "enumDescriptions": [ "The default value. This value is used if the state is omitted.", "File is being processed and cannot be used for inference yet.", "File is processed and available for inference.", "File failed processing." ], "type": "string", "readOnly": true, "description": "Output only. Processing state of the File.", "enum": [ "STATE_UNSPECIFIED", "PROCESSING", "ACTIVE", "FAILED" ] }, "source": { "description": "Source of the File.", "type": "string", "enum": [ "SOURCE_UNSPECIFIED", "UPLOADED", "GENERATED", "REGISTERED" ], "enumDescriptions": [ "Used if source is not specified.", "Indicates the file is uploaded by the user.", "Indicates the file is generated by Google.", "Indicates the file is a registered, i.e. a Google Cloud Storage file." ] }, "expirationTime": { "format": "google-datetime", "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", "readOnly": true, "type": "string" }, "error": { "description": "Output only. Error status if File processing failed.", "$ref": "Status", "readOnly": true }, "downloadUri": { "description": "Output only. The download uri of the `File`.", "type": "string", "readOnly": true }, "mimeType": { "description": "Output only. MIME type of the file.", "type": "string", "readOnly": true }, "videoMetadata": { "$ref": "VideoFileMetadata", "readOnly": true, "description": "Output only. Metadata for a video." }, "sha256Hash": { "readOnly": true, "type": "string", "format": "byte", "description": "Output only. SHA-256 hash of the uploaded bytes." }, "uri": { "description": "Output only. The uri of the `File`.", "readOnly": true, "type": "string" }, "updateTime": { "type": "string", "description": "Output only. The timestamp of when the `File` was last updated.", "format": "google-datetime", "readOnly": true } }, "id": "File", "description": "A file uploaded to the API.", "type": "object" }, "SearchTypes": { "id": "SearchTypes", "properties": { "imageSearch": { "description": "Optional. Enables image search. Image bytes are returned.", "$ref": "ImageSearch" }, "webSearch": { "description": "Optional. Enables web search. Only text results are returned.", "$ref": "WebSearch" } }, "type": "object", "description": "Different types of search that can be enabled on the GoogleSearch tool." }, "GenerateContentBatchOutput": { "id": "GenerateContentBatchOutput", "properties": { "inlinedResponses": { "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", "readOnly": true, "$ref": "InlinedResponses" }, "responsesFile": { "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", "readOnly": true, "type": "string" } }, "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", "type": "object" }, "ContentTypeInfo": { "type": "object", "id": "ContentTypeInfo", "properties": { "fromBytes": { "description": "The content type of the file derived by looking at specific bytes (i.e. \"magic bytes\") of the actual file.", "type": "string" }, "fromFusionId": { "description": "The content type of the file detected by Fusion ID. go/fusionid", "type": "string" }, "fromFileName": { "type": "string", "description": "The content type of the file derived from the file extension of the original file name used by the client." }, "fromHeader": { "description": "The content type of the file as specified in the request headers, multipart headers, or RUPIO start request.", "type": "string" }, "fromUrlPath": { "description": "The content type of the file derived from the file extension of the URL path. The URL path is assumed to represent a file name (which is typically only true for agents that are providing a REST API).", "type": "string" }, "fusionIdDetectionMetadata": { "type": "string", "format": "byte", "description": "Metadata information from Fusion ID detection. Serialized FusionIdDetectionMetadata proto. Only set if from_fusion_id is set." }, "bestGuess": { "description": "Scotty's best guess of what the content type of the file is.", "type": "string" } }, "description": "Detailed Content-Type information from Scotty. The Content-Type of the media will typically be filled in by the header or Scotty's best_guess, but this extended information provides the backend with more information so that it can make a better decision if needed. This is only used on media upload requests from Scotty." }, "EmbedContentConfig": { "type": "object", "description": "Configurations for the EmbedContent request.", "id": "EmbedContentConfig", "properties": { "title": { "type": "string", "description": "Optional. The title for the text." }, "outputDimensionality": { "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", "format": "int32", "type": "integer" }, "autoTruncate": { "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", "type": "boolean" }, "taskType": { "enumDescriptions": [ "Unset value, which will default to one of the other enum values.", "Specifies the given text is a query in a search/retrieval setting.", "Specifies the given text is a document from the corpus being searched.", "Specifies the given text will be used for STS.", "Specifies that the given text will be classified.", "Specifies that the embeddings will be used for clustering.", "Specifies that the given text will be used for question answering.", "Specifies that the given text will be used for fact verification.", "Specifies that the given text will be used for code retrieval." ], "type": "string", "enum": [ "TASK_TYPE_UNSPECIFIED", "RETRIEVAL_QUERY", "RETRIEVAL_DOCUMENT", "SEMANTIC_SIMILARITY", "CLASSIFICATION", "CLUSTERING", "QUESTION_ANSWERING", "FACT_VERIFICATION", "CODE_RETRIEVAL_QUERY" ], "description": "Optional. The task type of the embedding." }, "audioTrackExtraction": { "type": "boolean", "description": "Optional. Whether to extract audio from video content." }, "documentOcr": { "description": "Optional. Whether to enable OCR for document content.", "type": "boolean" } } }, "BatchEmbedContentsRequest": { "id": "BatchEmbedContentsRequest", "type": "object", "properties": { "requests": { "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", "type": "array", "items": { "$ref": "EmbedContentRequest" } } }, "description": "Batch request to get embeddings from the model for a list of prompts." }, "CodeExecutionResult": { "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", "properties": { "outcome": { "enumDescriptions": [ "Unspecified status. This value should not be used.", "Code execution completed successfully. `output` contains the stdout, if any.", "Code execution failed. `output` contains the stderr and stdout, if any.", "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." ], "description": "Required. Outcome of the code execution.", "type": "string", "enum": [ "OUTCOME_UNSPECIFIED", "OUTCOME_OK", "OUTCOME_FAILED", "OUTCOME_DEADLINE_EXCEEDED" ] }, "output": { "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", "type": "string" }, "id": { "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", "type": "string" } }, "id": "CodeExecutionResult", "type": "object" }, "BatchGenerateContentRequest": { "id": "BatchGenerateContentRequest", "properties": { "batch": { "$ref": "GenerateContentBatch", "description": "Required. The batch to create." } }, "type": "object", "description": "Request for a `BatchGenerateContent` operation." }, "DiffUploadRequest": { "id": "DiffUploadRequest", "description": "A Diff upload request. For details on the Scotty Diff protocol, visit http://go/scotty-diff-protocol.", "properties": { "objectInfo": { "description": "The location of the new object. Agents must clone the object located here, as the upload server will delete the contents once a response is received.", "$ref": "CompositeMedia" }, "checksumsInfo": { "description": "The location of the checksums for the new object. Agents must clone the object located here, as the upload server will delete the contents once a response is received. For details on the format of the checksums, see http://go/scotty-diff-protocol.", "$ref": "CompositeMedia" }, "objectVersion": { "description": "The object version of the object that is the base version the incoming diff script will be applied to. This field will always be filled in.", "type": "string" } }, "type": "object" }, "SafetyRating": { "id": "SafetyRating", "properties": { "category": { "enum": [ "HARM_CATEGORY_UNSPECIFIED", "HARM_CATEGORY_DEROGATORY", "HARM_CATEGORY_TOXICITY", "HARM_CATEGORY_VIOLENCE", "HARM_CATEGORY_SEXUAL", "HARM_CATEGORY_MEDICAL", "HARM_CATEGORY_DANGEROUS", "HARM_CATEGORY_HARASSMENT", "HARM_CATEGORY_HATE_SPEECH", "HARM_CATEGORY_SEXUALLY_EXPLICIT", "HARM_CATEGORY_DANGEROUS_CONTENT", "HARM_CATEGORY_CIVIC_INTEGRITY", "HARM_CATEGORY_JAILBREAK" ], "description": "Required. The category for this rating.", "enumDeprecated": [ false, true, true, true, true, true, true, false, false, false, false, true, false ], "type": "string", "enumDescriptions": [ "Category is unspecified.", "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute. DEPRECATED: PaLM-only category, not supported by Gemini models.", "**PaLM** - Content that is rude, disrespectful, or profane. DEPRECATED: PaLM-only category, not supported by Gemini models.", "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore. DEPRECATED: PaLM-only category, not supported by Gemini models.", "**PaLM** - Contains references to sexual acts or other lewd content. DEPRECATED: PaLM-only category, not supported by Gemini models.", "**PaLM** - Promotes unchecked medical advice. DEPRECATED: PaLM-only category, not supported by Gemini models.", "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts. DEPRECATED: PaLM-only category, not supported by Gemini models.", "**Gemini** - Harassment content.", "**Gemini** - Hate speech and content.", "**Gemini** - Sexually explicit content.", "**Gemini** - Dangerous content.", "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead.", "**Gemini** - Prompts attempting to bypass or subvert the model's safety guidelines (jailbreak attempts)." ] }, "probability": { "description": "Required. The probability of harm for this content.", "enumDescriptions": [ "Probability is unspecified.", "Content has a negligible chance of being unsafe.", "Content has a low chance of being unsafe.", "Content has a medium chance of being unsafe.", "Content has a high chance of being unsafe." ], "type": "string", "enum": [ "HARM_PROBABILITY_UNSPECIFIED", "NEGLIGIBLE", "LOW", "MEDIUM", "HIGH" ] }, "blocked": { "description": "Was this content blocked because of this rating?", "type": "boolean" } }, "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", "type": "object" }, "GenerateContentBatch": { "description": "A resource representing a batch of `GenerateContent` requests.", "type": "object", "id": "GenerateContentBatch", "properties": { "createTime": { "type": "string", "description": "Output only. The time at which the batch was created.", "format": "google-datetime", "readOnly": true }, "state": { "description": "Output only. The state of the batch.", "enumDescriptions": [ "The batch state is unspecified.", "The service is preparing to run the batch.", "The batch is in progress.", "The batch completed successfully.", "The batch failed.", "The batch has been cancelled.", "The batch has expired." ], "type": "string", "readOnly": true, "enum": [ "BATCH_STATE_UNSPECIFIED", "BATCH_STATE_PENDING", "BATCH_STATE_RUNNING", "BATCH_STATE_SUCCEEDED", "BATCH_STATE_FAILED", "BATCH_STATE_CANCELLED", "BATCH_STATE_EXPIRED" ] }, "displayName": { "description": "Required. The user-defined name of this batch.", "type": "string" }, "priority": { "format": "int64", "type": "string", "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0." }, "output": { "$ref": "GenerateContentBatchOutput", "readOnly": true, "description": "Output only. The output of the batch request." }, "name": { "type": "string", "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "readOnly": true }, "inputConfig": { "description": "Required. Input configuration of the instances on which batch processing are performed.", "$ref": "InputConfig" }, "model": { "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" }, "batchStats": { "readOnly": true, "description": "Output only. Stats about the batch.", "$ref": "BatchStats" }, "updateTime": { "readOnly": true, "description": "Output only. The time at which the batch was last updated.", "format": "google-datetime", "type": "string" }, "endTime": { "format": "google-datetime", "description": "Output only. The time at which the batch processing completed.", "type": "string", "readOnly": true } } }, "Blob": { "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", "id": "Blob", "properties": { "mimeType": { "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://aistudio.google.com/docs/file-input-methods#supported-content-types).", "type": "string" }, "data": { "description": "Raw bytes for media formats.", "format": "byte", "type": "string" } }, "type": "object" }, "CompositeMedia": { "id": "CompositeMedia", "properties": { "md5Hash": { "description": "MD5 hash for the payload.", "format": "byte", "type": "string" }, "objectId": { "description": "Reference to a TI Blob, set if reference_type is BIGSTORE_REF.", "$ref": "ObjectId" }, "cosmoBinaryReference": { "description": "A binary data reference for a media download. Serves as a technology-agnostic binary reference in some Google infrastructure. This value is a serialized storage_cosmo.BinaryReference proto. Storing it as bytes is a hack to get around the fact that the cosmo proto (as well as others it includes) doesn't support JavaScript. This prevents us from including the actual type of this field.", "type": "string", "format": "byte" }, "sha1Hash": { "description": "SHA-1 hash for the payload.", "type": "string", "format": "byte" }, "inline": { "format": "byte", "type": "string", "description": "Media data, set if reference_type is INLINE" }, "blobRef": { "description": "Blobstore v1 reference, set if reference_type is BLOBSTORE_REF This should be the byte representation of a blobstore.BlobRef. Since Blobstore is deprecating v1, use blobstore2_info instead. For now, any v2 blob will also be represented in this field as v1 BlobRef.", "format": "byte", "type": "string", "deprecated": true }, "crc32cHash": { "format": "uint32", "description": "crc32.c hash for the payload.", "type": "integer" }, "length": { "description": "Size of the data, in bytes", "type": "string", "format": "int64" }, "referenceType": { "type": "string", "enum": [ "PATH", "BLOB_REF", "INLINE", "BIGSTORE_REF", "COSMO_BINARY_REFERENCE" ], "enumDescriptions": [ "Reference contains a GFS path or a local path.", "Reference points to a blobstore object. This could be either a v1 blob_ref or a v2 blobstore2_info. Clients should check blobstore2_info first, since v1 is being deprecated.", "Data is included into this proto buffer", "Reference points to a bigstore object", "Indicates the data is stored in cosmo_binary_reference." ], "description": "Describes what the field reference contains." }, "blobstore2Info": { "$ref": "Blobstore2Info", "description": "Blobstore v2 info, set if reference_type is BLOBSTORE_REF and it refers to a v2 blob." }, "path": { "type": "string", "description": "Path to the data, set if reference_type is PATH" } }, "type": "object", "description": "A sequence of media data references representing composite data. Introduced to support Bigstore composite objects. For details, visit http://go/bigstore-composites." }, "AsyncBatchEmbedContentRequest": { "properties": { "batch": { "description": "Required. The batch to create.", "$ref": "EmbedContentBatch" } }, "type": "object", "id": "AsyncBatchEmbedContentRequest", "description": "Request for an `AsyncBatchEmbedContent` operation." }, "CodeExecution": { "id": "CodeExecution", "type": "object", "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", "properties": {} }, "EmbeddingUsageMetadata": { "description": "Metadata on the usage of the embedding request.", "type": "object", "id": "EmbeddingUsageMetadata", "properties": { "promptTokenCount": { "type": "integer", "readOnly": true, "format": "int32", "description": "Output only. Number of tokens in the prompt." }, "promptTokenDetails": { "readOnly": true, "description": "Output only. List of modalities that were processed in the request input.", "type": "array", "items": { "$ref": "ModalityTokenCount" } } } }, "PlaceAnswerSources": { "id": "PlaceAnswerSources", "type": "object", "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", "properties": { "reviewSnippets": { "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", "items": { "$ref": "ReviewSnippet" }, "type": "array" } } }, "AttributionSourceId": { "type": "object", "description": "Identifier for the source contributing to this attribution.", "properties": { "groundingPassage": { "description": "Identifier for an inline passage.", "$ref": "GroundingPassageId" }, "semanticRetrieverChunk": { "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", "$ref": "SemanticRetrieverChunk" } }, "id": "AttributionSourceId" }, "InlinedRequests": { "id": "InlinedRequests", "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "type": "object", "properties": { "requests": { "description": "Required. The requests to be processed in the batch.", "items": { "$ref": "InlinedRequest" }, "type": "array" } } }, "GroundingSupport": { "id": "GroundingSupport", "properties": { "segment": { "description": "Segment of the content this support belongs to.", "$ref": "Segment" }, "groundingChunkIndices": { "type": "array", "items": { "format": "int32", "type": "integer" }, "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order)." }, "confidenceScores": { "type": "array", "items": { "format": "float", "type": "number" }, "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices." }, "renderedParts": { "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", "readOnly": true, "items": { "format": "int32", "type": "integer" }, "type": "array" } }, "description": "Grounding support.", "type": "object" }, "CreateTunedModelMetadata": { "properties": { "totalSteps": { "type": "integer", "format": "int32", "description": "The total number of tuning steps." }, "completedSteps": { "type": "integer", "format": "int32", "description": "The number of steps completed." }, "tunedModel": { "type": "string", "description": "Name of the tuned model associated with the tuning operation." }, "snapshots": { "description": "Metrics collected during tuning.", "type": "array", "items": { "$ref": "TuningSnapshot" } }, "completedPercent": { "format": "float", "description": "The completed percentage for the tuning operation.", "type": "number" } }, "id": "CreateTunedModelMetadata", "description": "Metadata about the state and progress of creating a tuned model returned from the long-running operation", "type": "object" }, "Empty": { "type": "object", "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", "id": "Empty", "properties": {} }, "BatchStats": { "type": "object", "description": "Stats about the batch.", "id": "BatchStats", "properties": { "failedRequestCount": { "format": "int64", "readOnly": true, "type": "string", "description": "Output only. The number of requests that failed to be processed." }, "requestCount": { "type": "string", "format": "int64", "description": "Output only. The number of requests in the batch.", "readOnly": true }, "successfulRequestCount": { "format": "int64", "description": "Output only. The number of requests that were successfully processed.", "readOnly": true, "type": "string" }, "pendingRequestCount": { "description": "Output only. The number of requests that are still pending processing.", "format": "int64", "readOnly": true, "type": "string" } } }, "RegisterFilesRequest": { "description": "Request for `RegisterFiles`.", "properties": { "uris": { "items": { "type": "string" }, "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", "type": "array" } }, "type": "object", "id": "RegisterFilesRequest" }, "Tool": { "type": "object", "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model.", "properties": { "googleSearch": { "$ref": "GoogleSearch", "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." }, "googleMaps": { "$ref": "GoogleMaps", "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query." }, "computerUse": { "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", "$ref": "ComputerUse" }, "mcpServers": { "type": "array", "description": "Optional. MCP Servers to connect to.", "items": { "$ref": "McpServer" } }, "googleSearchRetrieval": { "description": "Optional. Retrieval tool that is powered by Google search.", "$ref": "GoogleSearchRetrieval" }, "fileSearch": { "$ref": "FileSearch", "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora." }, "functionDeclarations": { "items": { "$ref": "FunctionDeclaration" }, "type": "array", "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn." }, "urlContext": { "description": "Optional. Tool to support URL context retrieval.", "$ref": "UrlContext" }, "codeExecution": { "$ref": "CodeExecution", "description": "Optional. Enables the model to execute code as part of generation." } }, "id": "Tool" }, "GroundingAttribution": { "properties": { "content": { "description": "Grounding source content that makes up this attribution.", "$ref": "Content" }, "sourceId": { "description": "Output only. Identifier for the source contributing to this attribution.", "$ref": "AttributionSourceId", "readOnly": true } }, "description": "Attribution for a source that contributed to an answer.", "id": "GroundingAttribution", "type": "object" }, "LatLng": { "properties": { "latitude": { "type": "number", "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", "format": "double" }, "longitude": { "type": "number", "format": "double", "description": "The longitude in degrees. It must be in the range [-180.0, +180.0]." } }, "type": "object", "id": "LatLng", "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges." }, "InlinedResponses": { "type": "object", "properties": { "inlinedResponses": { "items": { "$ref": "InlinedResponse" }, "description": "Output only. The responses to the requests in the batch.", "type": "array", "readOnly": true } }, "description": "The responses to the requests in the batch.", "id": "InlinedResponses" }, "ModalityTokenCount": { "type": "object", "properties": { "tokenCount": { "format": "int32", "type": "integer", "description": "Number of tokens." }, "modality": { "type": "string", "enum": [ "MODALITY_UNSPECIFIED", "TEXT", "IMAGE", "VIDEO", "AUDIO", "DOCUMENT" ], "description": "The modality associated with this token count.", "enumDescriptions": [ "Unspecified modality.", "Plain text.", "Image.", "Video.", "Audio.", "Document, e.g. PDF." ] } }, "id": "ModalityTokenCount", "description": "Represents token counting info for a single modality." }, "ImageConfig": { "type": "object", "properties": { "aspectRatio": { "type": "string", "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided." }, "imageSize": { "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", "type": "string" } }, "id": "ImageConfig", "description": "Config for image generation features." }, "CountTokensResponse": { "properties": { "totalTokens": { "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", "format": "int32", "type": "integer" }, "promptTokensDetails": { "description": "Output only. List of modalities that were processed in the request input.", "type": "array", "readOnly": true, "items": { "$ref": "ModalityTokenCount" } }, "cacheTokensDetails": { "description": "Output only. List of modalities that were processed in the cached content.", "readOnly": true, "type": "array", "items": { "$ref": "ModalityTokenCount" } } }, "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", "type": "object", "id": "CountTokensResponse" }, "Content": { "id": "Content", "properties": { "role": { "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", "type": "string" }, "parts": { "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", "type": "array", "items": { "$ref": "Part" } } }, "type": "object", "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn." }, "Part": { "properties": { "thought": { "description": "Optional. Indicates if the part is thought from the model.", "type": "boolean" }, "mediaProcessing": { "enumDescriptions": [ "Defaults to model-specific processing.", "Fixed-rate frame extraction. All frames placed in context.", "Model-driven dynamic navigation. Recommended for most use cases." ], "type": "string", "enum": [ "MEDIA_PROCESSING_UNSPECIFIED", "STATIC", "AGENTIC" ], "description": "Optional. How the model processes this part's media for understanding. Only meaningful for video parts (`inline_data` or `file_data` with video mime). Non-video parts ignore this field." }, "thoughtSignature": { "type": "string", "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", "format": "byte" }, "functionCall": { "$ref": "FunctionCall", "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values." }, "videoMetadata": { "$ref": "VideoMetadata", "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data." }, "toolResponse": { "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", "$ref": "ToolResponse" }, "partMetadata": { "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", "additionalProperties": { "type": "any", "description": "Properties of the object." }, "type": "object" }, "codeExecutionResult": { "$ref": "CodeExecutionResult", "description": "Result of executing the `ExecutableCode`." }, "functionResponse": { "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", "$ref": "FunctionResponse" }, "executableCode": { "description": "Code generated by the model that is meant to be executed.", "$ref": "ExecutableCode" }, "text": { "type": "string", "description": "Inline text." }, "inlineData": { "description": "Inline media bytes.", "$ref": "Blob" }, "fileData": { "description": "URI based data.", "$ref": "FileData" }, "mediaResolution": { "$ref": "MediaResolution", "description": "Optional. Media resolution for the input media." }, "toolCall": { "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", "$ref": "ToolCall" } }, "id": "Part", "type": "object", "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes." }, "ExecutableCode": { "id": "ExecutableCode", "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", "properties": { "id": { "type": "string", "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`." }, "language": { "enumDescriptions": [ "Unspecified language. This value should not be used.", "Python \u003e= 3.10, with numpy and simpy available. Python is the default language." ], "type": "string", "enum": [ "LANGUAGE_UNSPECIFIED", "PYTHON" ], "description": "Required. Programming language of the `code`." }, "code": { "description": "Required. The code to be executed.", "type": "string" } }, "type": "object" }, "DiffDownloadResponse": { "properties": { "objectLocation": { "$ref": "CompositeMedia", "description": "The original object location." } }, "type": "object", "id": "DiffDownloadResponse", "description": "Backend response for a Diff download response. For details on the Scotty Diff protocol, visit http://go/scotty-diff-protocol." }, "ListOperationsResponse": { "type": "object", "properties": { "unreachable": { "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", "items": { "type": "string" }, "type": "array" }, "operations": { "type": "array", "items": { "$ref": "Operation" }, "description": "A list of operations that matches the specified filter in the request." }, "nextPageToken": { "description": "The standard List next-page token.", "type": "string" } }, "description": "The response message for Operations.ListOperations.", "id": "ListOperationsResponse" }, "Schema": { "id": "Schema", "type": "object", "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", "properties": { "maxItems": { "description": "Optional. Maximum number of the elements for Type.ARRAY.", "type": "string", "format": "int64" }, "minProperties": { "description": "Optional. Minimum number of the properties for Type.OBJECT.", "type": "string", "format": "int64" }, "pattern": { "type": "string", "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression." }, "minLength": { "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", "format": "int64", "type": "string" }, "anyOf": { "items": { "$ref": "Schema" }, "type": "array", "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list." }, "format": { "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", "type": "string" }, "required": { "type": "array", "items": { "type": "string" }, "description": "Optional. Required properties of Type.OBJECT." }, "example": { "description": "Optional. Example of the object. Will only populated when the object is the root.", "type": "any" }, "type": { "type": "string", "enum": [ "TYPE_UNSPECIFIED", "STRING", "NUMBER", "INTEGER", "BOOLEAN", "ARRAY", "OBJECT", "NULL" ], "description": "Required. Data type.", "enumDescriptions": [ "Not specified, should not be used.", "String type.", "Number type.", "Integer type.", "Boolean type.", "Array type.", "Object type.", "Null type." ] }, "maxProperties": { "type": "string", "format": "int64", "description": "Optional. Maximum number of the properties for Type.OBJECT." }, "items": { "$ref": "Schema", "description": "Optional. Schema of the elements of Type.ARRAY." }, "title": { "type": "string", "description": "Optional. The title of the schema." }, "maximum": { "type": "number", "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", "format": "double" }, "properties": { "type": "object", "description": "Optional. Properties of Type.OBJECT.", "additionalProperties": { "$ref": "Schema" } }, "enum": { "type": "array", "items": { "type": "string" }, "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}" }, "propertyOrdering": { "items": { "type": "string" }, "type": "array", "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response." }, "maxLength": { "description": "Optional. Maximum length of the Type.STRING", "format": "int64", "type": "string" }, "minItems": { "description": "Optional. Minimum number of the elements for Type.ARRAY.", "format": "int64", "type": "string" }, "minimum": { "format": "double", "type": "number", "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER" }, "default": { "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors.", "type": "any" }, "description": { "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", "type": "string" }, "nullable": { "description": "Optional. Indicates if the value may be null.", "type": "boolean" } } }, "Maps": { "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", "type": "object", "id": "Maps", "properties": { "placeId": { "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", "type": "string" }, "text": { "description": "Text description of the place answer.", "type": "string" }, "placeAnswerSources": { "description": "Sources that provide answers about the features of a given place in Google Maps.", "$ref": "PlaceAnswerSources" }, "uri": { "description": "URI reference of the place.", "type": "string" }, "title": { "description": "Title of the place.", "type": "string" } } }, "Web": { "id": "Web", "type": "object", "description": "Chunk from the web.", "properties": { "uri": { "description": "Output only. URI reference of the chunk.", "readOnly": true, "type": "string" }, "title": { "readOnly": true, "description": "Output only. Title of the chunk.", "type": "string" } } }, "TextResponseFormat": { "description": "Configuration for text output format.", "type": "object", "id": "TextResponseFormat", "properties": { "mimeType": { "type": "string", "enum": [ "MIME_TYPE_UNSPECIFIED", "APPLICATION_JSON", "TEXT_PLAIN" ], "description": "Optional. The MIME type of the text output.", "enumDescriptions": [ "Default value. This value is unused.", "JSON output format.", "Plain text output format." ] }, "schema": { "type": "any", "description": "Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON." } } }, "ListModelsResponse": { "properties": { "models": { "items": { "$ref": "Model" }, "description": "The returned Models.", "type": "array" }, "nextPageToken": { "type": "string", "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." } }, "type": "object", "description": "Response from `ListModel` containing a paginated list of Models.", "id": "ListModelsResponse" }, "RetrievedContext": { "description": "Chunk from context retrieved by the file search tool.", "properties": { "title": { "description": "Optional. Title of the document.", "type": "string" }, "text": { "description": "Optional. Text of the chunk.", "type": "string" }, "customMetadata": { "items": { "$ref": "GroundingChunkCustomMetadata" }, "type": "array", "description": "Optional. User-provided metadata about the retrieved context." }, "fileSearchStore": { "type": "string", "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`" }, "pageNumber": { "type": "integer", "format": "int32", "description": "Optional. Page number of the retrieved context, if applicable." }, "mediaId": { "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", "type": "string" }, "uri": { "description": "Optional. URI reference of the semantic retrieval document.", "type": "string" } }, "type": "object", "id": "RetrievedContext" }, "CustomLongRunningOperation": { "id": "CustomLongRunningOperation", "type": "object", "properties": { "error": { "$ref": "Status", "description": "The error result of the operation in case of failure or cancellation." }, "name": { "type": "string", "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`." }, "metadata": { "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." }, "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", "type": "object" }, "done": { "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", "type": "boolean" }, "response": { "additionalProperties": { "description": "Properties of the object. Contains field @type with type URL.", "type": "any" }, "type": "object", "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`." } } }, "EmbedContentBatchOutput": { "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", "type": "object", "properties": { "inlinedResponses": { "readOnly": true, "$ref": "InlinedEmbedContentResponses", "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." }, "responsesFile": { "readOnly": true, "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", "type": "string" } }, "id": "EmbedContentBatchOutput" }, "StreamableHttpTransport": { "properties": { "timeout": { "type": "string", "description": "HTTP timeout for regular operations.", "format": "google-duration" }, "sseReadTimeout": { "description": "Timeout for SSE read operations.", "type": "string", "format": "google-duration" }, "headers": { "additionalProperties": { "type": "string" }, "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", "type": "object" }, "terminateOnClose": { "type": "boolean", "description": "Whether to close the client session when the transport closes." }, "url": { "type": "string", "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"" } }, "type": "object", "description": "A transport that can stream HTTP requests and responses.", "id": "StreamableHttpTransport" }, "FunctionResponse": { "properties": { "response": { "type": "object", "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model. Multimedia can be included by using a subobject containing a single \"$ref\" key whose value is the `inline_data.display_name` or `file_data.display_name` of a `FunctionResponsePart` holding the multimedia. See [Multimodal function responses](https://aistudio.google.com/docs/function-calling#multimodal).", "additionalProperties": { "description": "Properties of the object.", "type": "any" } }, "id": { "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", "type": "string" }, "name": { "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", "type": "string" }, "parts": { "items": { "$ref": "FunctionResponsePart" }, "type": "array", "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types." } }, "type": "object", "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", "id": "FunctionResponse" }, "DynamicRetrievalConfig": { "type": "object", "properties": { "mode": { "enumDescriptions": [ "Always trigger retrieval.", "Run retrieval only when system decides it is necessary." ], "type": "string", "enum": [ "MODE_UNSPECIFIED", "MODE_DYNAMIC" ], "description": "The mode of the predictor to be used in dynamic retrieval." }, "dynamicThreshold": { "type": "number", "format": "float", "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used." } }, "id": "DynamicRetrievalConfig", "description": "Describes the options to customize dynamic retrieval." }, "SearchEntryPoint": { "description": "Google search entry point.", "id": "SearchEntryPoint", "type": "object", "properties": { "sdkBlob": { "description": "Optional. Base64 encoded JSON representing array of tuple.", "type": "string", "format": "byte" }, "renderedContent": { "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", "type": "string" } } }, "Document": { "type": "object", "description": "A `Document` is a collection of `Chunk`s.", "properties": { "mimeType": { "description": "Output only. The mime type of the Document.", "type": "string", "readOnly": true }, "sizeBytes": { "description": "Output only. The size of raw bytes ingested into the Document.", "type": "string", "readOnly": true, "format": "int64" }, "updateTime": { "format": "google-datetime", "type": "string", "description": "Output only. The Timestamp of when the `Document` was last updated.", "readOnly": true }, "customMetadata": { "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", "items": { "$ref": "CustomMetadata" }, "type": "array" }, "createTime": { "readOnly": true, "format": "google-datetime", "type": "string", "description": "Output only. The Timestamp of when the `Document` was created." }, "displayName": { "type": "string", "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"" }, "name": { "type": "string", "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`" }, "state": { "description": "Output only. Current state of the `Document`.", "enumDescriptions": [ "The default value. This value is used if the state is omitted.", "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", "All `Chunks` of the `Document` is processed and available for querying.", "Some `Chunks` of the `Document` failed processing." ], "enum": [ "STATE_UNSPECIFIED", "STATE_PENDING", "STATE_ACTIVE", "STATE_FAILED" ], "readOnly": true, "type": "string" } }, "id": "Document" }, "ToolResponse": { "type": "object", "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", "properties": { "toolType": { "enumDescriptions": [ "Unspecified tool type.", "Google search tool, maps to Tool.google_search.search_types.web_search.", "Image search tool, maps to Tool.google_search.search_types.image_search.", "URL context tool, maps to Tool.url_context.", "Google maps tool, maps to Tool.google_maps.", "File search tool, maps to Tool.file_search.", "Media processing tool types (e.g. video, audio, etc.), maps to invisible tools used for multimodal understanding like GOOGLE_UNDERSTANDING_VIDEO." ], "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", "type": "string", "enum": [ "TOOL_TYPE_UNSPECIFIED", "GOOGLE_SEARCH_WEB", "GOOGLE_SEARCH_IMAGE", "URL_CONTEXT", "GOOGLE_MAPS", "FILE_SEARCH", "MEDIA_PROCESSING" ] }, "id": { "description": "Optional. The identifier of the tool call this response is for.", "type": "string" }, "response": { "additionalProperties": { "type": "any", "description": "Properties of the object." }, "type": "object", "description": "Optional. The tool response." } }, "id": "ToolResponse" }, "ListFileSearchStoresResponse": { "properties": { "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" }, "fileSearchStores": { "items": { "$ref": "FileSearchStore" }, "type": "array", "description": "The returned rag_stores." } }, "id": "ListFileSearchStoresResponse", "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", "type": "object" }, "LogprobsResult": { "id": "LogprobsResult", "description": "Logprobs Result", "type": "object", "properties": { "logProbabilitySum": { "type": "number", "description": "Sum of log probabilities for all tokens.", "format": "float" }, "chosenCandidates": { "items": { "$ref": "LogprobsResultCandidate" }, "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", "type": "array" }, "topCandidates": { "description": "Length = total number of decoding steps.", "items": { "$ref": "TopCandidates" }, "type": "array" } } }, "ToolConfig": { "properties": { "includeServerSideToolInvocations": { "type": "boolean", "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions." }, "functionCallingConfig": { "$ref": "FunctionCallingConfig", "description": "Optional. Function calling config." }, "retrievalConfig": { "description": "Optional. Retrieval config.", "$ref": "RetrievalConfig" } }, "id": "ToolConfig", "type": "object", "description": "The Tool configuration containing parameters for specifying `Tool` use in the request." }, "GroundingChunkCustomMetadata": { "type": "object", "id": "GroundingChunkCustomMetadata", "description": "User provided metadata about the GroundingFact.", "properties": { "stringValue": { "type": "string", "description": "Optional. The string value of the metadata." }, "key": { "type": "string", "description": "The key of the metadata." }, "numericValue": { "format": "float", "type": "number", "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used." }, "stringListValue": { "$ref": "GroundingChunkStringList", "description": "Optional. A list of string values for the metadata." } } }, "VideoFileMetadata": { "id": "VideoFileMetadata", "properties": { "videoDuration": { "format": "google-duration", "type": "string", "description": "Duration of the video." } }, "type": "object", "description": "Metadata for a video `File`." }, "RetrievalConfig": { "id": "RetrievalConfig", "description": "Retrieval config.", "properties": { "languageCode": { "type": "string", "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)." }, "latLng": { "description": "Optional. The location of the user.", "$ref": "LatLng" } }, "type": "object" }, "ResponseFormatConfig": { "properties": { "audio": { "description": "Optional. Audio output format configuration.", "$ref": "AudioResponseFormat" }, "text": { "description": "Optional. Text output format configuration.", "$ref": "TextResponseFormat" }, "image": { "$ref": "ImageResponseFormat", "description": "Optional. Image output format configuration." } }, "id": "ResponseFormatConfig", "type": "object", "description": "Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality." }, "ComputerUse": { "description": "Computer Use tool type.", "type": "object", "id": "ComputerUse", "properties": { "excludedPredefinedFunctions": { "type": "array", "items": { "type": "string" }, "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions." }, "environment": { "description": "Required. The environment being operated.", "enumDescriptions": [ "Defaults to browser.", "Operates in a web browser.", "Operates in a mobile environment.", "Operates in a desktop environment." ], "type": "string", "enum": [ "ENVIRONMENT_UNSPECIFIED", "ENVIRONMENT_BROWSER", "ENVIRONMENT_MOBILE", "ENVIRONMENT_DESKTOP" ] }, "disabledSafetyPolicies": { "type": "array", "description": "Optional. Disabled safety policies for computer use.", "items": { "type": "string", "enum": [ "SAFETY_POLICY_UNSPECIFIED", "FINANCIAL_TRANSACTIONS", "SENSITIVE_DATA_MODIFICATION", "COMMUNICATION_TOOL", "ACCOUNT_CREATION", "DATA_MODIFICATION", "USER_CONSENT_MANAGEMENT", "LEGAL_TERMS_AND_AGREEMENTS" ], "enumDescriptions": [ "Unspecified safety policy.", "Safety policy for financial transactions.", "Safety policy for sensitive data modification.", "Safety policy for communication tools (e.g. Gmail, Chat, Meet).", "Safety policy for account creation.", "Safety policy for data modification.", "Safety policy for user consent management.", "Safety policy for legal terms and agreements." ] } }, "enablePromptInjectionDetection": { "description": "Optional. Whether enable the prompt injection detection check on computer-use request.", "type": "boolean" } } }, "ImageSearch": { "properties": {}, "type": "object", "description": "Image search for grounding and related configurations.", "id": "ImageSearch" }, "RetrievalMetadata": { "properties": { "googleSearchDynamicRetrievalScore": { "type": "number", "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", "format": "float" } }, "type": "object", "id": "RetrievalMetadata", "description": "Metadata related to retrieval in the grounding flow." }, "GoogleSearchRetrieval": { "properties": { "dynamicRetrievalConfig": { "description": "Specifies the dynamic retrieval configuration for the given source.", "$ref": "DynamicRetrievalConfig" } }, "id": "GoogleSearchRetrieval", "description": "Tool to retrieve public web data for grounding, powered by Google.", "type": "object" }, "InputConfig": { "properties": { "fileName": { "description": "The name of the `File` containing the input requests.", "type": "string" }, "requests": { "description": "The requests to be processed in the batch.", "$ref": "InlinedRequests" } }, "type": "object", "description": "Configures the input to the batch request.", "id": "InputConfig" }, "DownloadMediaResponse": { "properties": { "blob": { "$ref": "GdataMedia", "description": "Output only. The blob data.", "readOnly": true } }, "description": "Response for DownloadMedia.", "id": "DownloadMediaResponse", "type": "object" }, "FileSearch": { "type": "object", "id": "FileSearch", "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", "properties": { "fileSearchStoreNames": { "type": "array", "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", "items": { "type": "string" } }, "metadataFilter": { "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", "type": "string" }, "topK": { "type": "integer", "format": "int32", "description": "Optional. The number of semantic retrieval chunks to retrieve." } } }, "CancelOperationRequest": { "id": "CancelOperationRequest", "description": "The request message for Operations.CancelOperation.", "properties": {}, "type": "object" }, "EmbedContentRequest": { "properties": { "embedContentConfig": { "description": "Optional. Configuration for the EmbedContent request.", "$ref": "EmbedContentConfig" }, "title": { "deprecated": true, "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", "type": "string" }, "model": { "type": "string", "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`" }, "taskType": { "type": "string", "enum": [ "TASK_TYPE_UNSPECIFIED", "RETRIEVAL_QUERY", "RETRIEVAL_DOCUMENT", "SEMANTIC_SIMILARITY", "CLASSIFICATION", "CLUSTERING", "QUESTION_ANSWERING", "FACT_VERIFICATION", "CODE_RETRIEVAL_QUERY" ], "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", "deprecated": true, "enumDescriptions": [ "Unset value, which will default to one of the other enum values.", "Specifies the given text is a query in a search/retrieval setting.", "Specifies the given text is a document from the corpus being searched.", "Specifies the given text will be used for STS.", "Specifies that the given text will be classified.", "Specifies that the embeddings will be used for clustering.", "Specifies that the given text will be used for question answering.", "Specifies that the given text will be used for fact verification.", "Specifies that the given text will be used for code retrieval." ] }, "outputDimensionality": { "deprecated": true, "format": "int32", "type": "integer", "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`)." }, "content": { "$ref": "Content", "description": "Required. The content to embed. Only the `parts.text` fields will be counted." } }, "type": "object", "description": "Request containing the `Content` for the model to embed.", "id": "EmbedContentRequest" }, "DownloadFileResponse": { "id": "DownloadFileResponse", "type": "object", "description": "Response for `DownloadFile`.", "properties": {} }, "Segment": { "description": "Segment of the content.", "type": "object", "properties": { "endIndex": { "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", "type": "integer", "format": "int32" }, "partIndex": { "type": "integer", "format": "int32", "description": "The index of a Part object within its parent Content object." }, "text": { "description": "The text corresponding to the segment from the response.", "type": "string" }, "startIndex": { "format": "int32", "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", "type": "integer" } }, "id": "Segment" }, "EmbedContentBatchStats": { "id": "EmbedContentBatchStats", "properties": { "pendingRequestCount": { "format": "int64", "description": "Output only. The number of requests that are still pending processing.", "readOnly": true, "type": "string" }, "failedRequestCount": { "readOnly": true, "type": "string", "description": "Output only. The number of requests that failed to be processed.", "format": "int64" }, "requestCount": { "description": "Output only. The number of requests in the batch.", "type": "string", "format": "int64", "readOnly": true }, "successfulRequestCount": { "readOnly": true, "description": "Output only. The number of requests that were successfully processed.", "format": "int64", "type": "string" } }, "type": "object", "description": "Stats about the batch." }, "WhiteSpaceConfig": { "id": "WhiteSpaceConfig", "properties": { "maxTokensPerChunk": { "type": "integer", "format": "int32", "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow." }, "maxOverlapTokens": { "description": "Maximum number of overlapping tokens between two adjacent chunks.", "type": "integer", "format": "int32" } }, "type": "object", "description": "Configuration for a white space chunking algorithm [white space delimited]." }, "FileSearchStore": { "type": "object", "id": "FileSearchStore", "properties": { "createTime": { "format": "google-datetime", "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", "type": "string", "readOnly": true }, "sizeBytes": { "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", "type": "string", "readOnly": true, "format": "int64" }, "activeDocumentsCount": { "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", "type": "string", "readOnly": true, "format": "int64" }, "name": { "readOnly": true, "type": "string", "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated." }, "pendingDocumentsCount": { "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", "format": "int64", "type": "string", "readOnly": true }, "failedDocumentsCount": { "format": "int64", "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", "readOnly": true, "type": "string" }, "displayName": { "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", "type": "string" }, "embeddingModel": { "type": "string", "description": "Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used." }, "updateTime": { "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", "readOnly": true, "format": "google-datetime", "type": "string" } }, "description": "A `FileSearchStore` is a collection of `Document`s." }, "InlinedRequest": { "properties": { "metadata": { "additionalProperties": { "type": "any", "description": "Properties of the object." }, "description": "Optional. The metadata to be associated with the request.", "type": "object" }, "request": { "description": "Required. The request to be processed in the batch.", "$ref": "GenerateContentRequest" } }, "description": "The request to be processed in the batch.", "id": "InlinedRequest", "type": "object" }, "ThinkingConfig": { "type": "object", "description": "Config for thinking features.", "properties": { "thinkingBudget": { "format": "int32", "description": "The number of thoughts tokens that the model should generate.", "type": "integer" }, "thinkingLevel": { "enumDescriptions": [ "Default value.", "Little to no thinking.", "Low thinking level.", "Medium thinking level.", "High thinking level.", "XHigh thinking level." ], "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://aistudio.google.com/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", "type": "string", "enum": [ "THINKING_LEVEL_UNSPECIFIED", "MINIMAL", "LOW", "MEDIUM", "HIGH", "XHIGH" ] }, "includeThoughts": { "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", "type": "boolean" } }, "id": "ThinkingConfig" }, "FunctionResponsePart": { "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. Media can be passed as raw bytes (`inline_data`) or by URI (`file_data`) with an IANA MIME type identifying the type and subtype of the media.", "id": "FunctionResponsePart", "type": "object", "properties": { "fileData": { "$ref": "FunctionResponseFileData", "description": "URI based data." }, "inlineData": { "$ref": "FunctionResponseBlob", "description": "Inline media bytes." } } }, "Image": { "properties": { "imageUri": { "description": "The image asset URL.", "type": "string" }, "title": { "type": "string", "description": "The title of the web page that the image is from." }, "sourceUri": { "description": "The web page URI for attribution.", "type": "string" }, "domain": { "type": "string", "description": "The root domain of the web page that the image is from, e.g. \"example.com\"." } }, "description": "Chunk from image search.", "type": "object", "id": "Image" }, "UploadToFileSearchStoreRequest": { "type": "object", "properties": { "mimeType": { "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", "type": "string" }, "chunkingConfig": { "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", "$ref": "ChunkingConfig" }, "displayName": { "type": "string", "description": "Optional. Display name of the created document." }, "customMetadata": { "description": "Custom metadata to be associated with the data.", "type": "array", "items": { "$ref": "CustomMetadata" } } }, "id": "UploadToFileSearchStoreRequest", "description": "Request for `UploadToFileSearchStore`." }, "ToolCall": { "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", "type": "object", "properties": { "toolName": { "type": "string", "description": "Optional. The name of the tool that was called." }, "toolType": { "enumDescriptions": [ "Unspecified tool type.", "Google search tool, maps to Tool.google_search.search_types.web_search.", "Image search tool, maps to Tool.google_search.search_types.image_search.", "URL context tool, maps to Tool.url_context.", "Google maps tool, maps to Tool.google_maps.", "File search tool, maps to Tool.file_search.", "Media processing tool types (e.g. video, audio, etc.), maps to invisible tools used for multimodal understanding like GOOGLE_UNDERSTANDING_VIDEO." ], "description": "Required. The type of tool that was called.", "type": "string", "enum": [ "TOOL_TYPE_UNSPECIFIED", "GOOGLE_SEARCH_WEB", "GOOGLE_SEARCH_IMAGE", "URL_CONTEXT", "GOOGLE_MAPS", "FILE_SEARCH", "MEDIA_PROCESSING" ] }, "id": { "type": "string", "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`." }, "args": { "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object." }, "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}" } }, "id": "ToolCall" }, "TopCandidates": { "id": "TopCandidates", "type": "object", "description": "Candidates with top log probabilities at each decoding step.", "properties": { "candidates": { "description": "Sorted by log probability in descending order.", "type": "array", "items": { "$ref": "LogprobsResultCandidate" } } } }, "ContentEmbedding": { "id": "ContentEmbedding", "properties": { "values": { "items": { "type": "number", "format": "float" }, "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", "type": "array" }, "shape": { "type": "array", "items": { "type": "integer", "format": "int32" }, "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048])." } }, "type": "object", "description": "A list of floats representing an embedding." }, "GroundingChunk": { "id": "GroundingChunk", "properties": { "maps": { "description": "Optional. Grounding chunk from Google Maps.", "$ref": "Maps" }, "web": { "description": "Grounding chunk from the web.", "$ref": "Web" }, "retrievedContext": { "$ref": "RetrievedContext", "description": "Optional. Grounding chunk from context retrieved by the file search tool." }, "image": { "$ref": "Image", "description": "Optional. Grounding chunk from image search." } }, "type": "object", "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps." }, "UrlMetadata": { "properties": { "retrievedUrl": { "type": "string", "description": "Retrieved url by the tool." }, "urlRetrievalStatus": { "description": "Status of the url retrieval.", "type": "string", "enum": [ "URL_RETRIEVAL_STATUS_UNSPECIFIED", "URL_RETRIEVAL_STATUS_SUCCESS", "URL_RETRIEVAL_STATUS_ERROR", "URL_RETRIEVAL_STATUS_PAYWALL", "URL_RETRIEVAL_STATUS_UNSAFE" ], "enumDescriptions": [ "Default value. This value is unused.", "Url retrieval is successful.", "Url retrieval is failed due to error.", "Url retrieval is failed because the content is behind paywall.", "Url retrieval is failed because the content is unsafe." ] } }, "type": "object", "description": "Context of the a single url retrieval.", "id": "UrlMetadata" }, "InlinedResponse": { "id": "InlinedResponse", "description": "The response to a single request in the batch.", "type": "object", "properties": { "metadata": { "additionalProperties": { "type": "any", "description": "Properties of the object." }, "type": "object", "description": "Output only. The metadata associated with the request.", "readOnly": true }, "error": { "$ref": "Status", "description": "Output only. The error encountered while processing the request.", "readOnly": true }, "response": { "readOnly": true, "$ref": "GenerateContentResponse", "description": "Output only. The response to the request." } } }, "CitationMetadata": { "id": "CitationMetadata", "description": "A collection of source attributions for a piece of content.", "type": "object", "properties": { "citationSources": { "items": { "$ref": "CitationSource" }, "type": "array", "description": "Citations to sources for a specific response." } } }, "McpServer": { "type": "object", "properties": { "streamableHttpTransport": { "description": "A transport that can stream HTTP requests and responses.", "$ref": "StreamableHttpTransport" }, "name": { "description": "The name of the MCPServer.", "type": "string" } }, "id": "McpServer", "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol." }, "InlinedEmbedContentRequests": { "properties": { "requests": { "items": { "$ref": "InlinedEmbedContentRequest" }, "description": "Required. The requests to be processed in the batch.", "type": "array" } }, "type": "object", "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "id": "InlinedEmbedContentRequests" }, "ObjectId": { "id": "ObjectId", "properties": { "generation": { "description": "Generation of the object. Generations are monotonically increasing across writes, allowing them to be be compared to determine which generation is newer. If this is omitted in a request, then you are requesting the live object. See http://go/bigstore-versions", "type": "string", "format": "int64" }, "objectName": { "type": "string", "description": "The name of the object." }, "bucketName": { "description": "The name of the bucket to which this object belongs.", "type": "string" } }, "type": "object", "description": "This is a copy of the tech.blob.ObjectId proto, which could not be used directly here due to transitive closure issues with JavaScript support; see http://b/8801763." }, "ListFilesResponse": { "type": "object", "description": "Response for `ListFiles`.", "id": "ListFilesResponse", "properties": { "nextPageToken": { "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", "type": "string" }, "files": { "description": "The list of `File`s.", "items": { "$ref": "File" }, "type": "array" } } }, "DiffVersionResponse": { "properties": { "objectVersion": { "type": "string", "description": "The version of the object stored at the server." }, "objectSizeBytes": { "type": "string", "format": "int64", "description": "The total size of the server object." } }, "id": "DiffVersionResponse", "description": "Backend response for a Diff get version response. For details on the Scotty Diff protocol, visit http://go/scotty-diff-protocol.", "type": "object" }, "InlinedEmbedContentResponse": { "description": "The response to a single request in the batch.", "type": "object", "id": "InlinedEmbedContentResponse", "properties": { "error": { "description": "Output only. The error encountered while processing the request.", "$ref": "Status", "readOnly": true }, "response": { "description": "Output only. The response to the request.", "$ref": "EmbedContentResponse", "readOnly": true }, "metadata": { "readOnly": true, "type": "object", "description": "Output only. The metadata associated with the request.", "additionalProperties": { "type": "any", "description": "Properties of the object." } } } }, "UrlContextMetadata": { "properties": { "urlMetadata": { "description": "List of url context.", "type": "array", "items": { "$ref": "UrlMetadata" } } }, "id": "UrlContextMetadata", "type": "object", "description": "Metadata related to url context retrieval tool." }, "CreateFileResponse": { "description": "Response for `CreateFile`.", "id": "CreateFileResponse", "properties": { "file": { "description": "Metadata for the created file.", "$ref": "File" } }, "type": "object" }, "SafetySetting": { "id": "SafetySetting", "properties": { "threshold": { "enumDescriptions": [ "Threshold is unspecified.", "Content with NEGLIGIBLE will be allowed.", "Content with NEGLIGIBLE and LOW will be allowed.", "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", "All content will be allowed.", "Turn off the safety filter." ], "type": "string", "enum": [ "HARM_BLOCK_THRESHOLD_UNSPECIFIED", "BLOCK_LOW_AND_ABOVE", "BLOCK_MEDIUM_AND_ABOVE", "BLOCK_ONLY_HIGH", "BLOCK_NONE", "OFF" ], "description": "Required. Controls the probability threshold at which harm is blocked." }, "category": { "enumDescriptions": [ "Category is unspecified.", "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute. DEPRECATED: PaLM-only category, not supported by Gemini models.", "**PaLM** - Content that is rude, disrespectful, or profane. DEPRECATED: PaLM-only category, not supported by Gemini models.", "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore. DEPRECATED: PaLM-only category, not supported by Gemini models.", "**PaLM** - Contains references to sexual acts or other lewd content. DEPRECATED: PaLM-only category, not supported by Gemini models.", "**PaLM** - Promotes unchecked medical advice. DEPRECATED: PaLM-only category, not supported by Gemini models.", "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts. DEPRECATED: PaLM-only category, not supported by Gemini models.", "**Gemini** - Harassment content.", "**Gemini** - Hate speech and content.", "**Gemini** - Sexually explicit content.", "**Gemini** - Dangerous content.", "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead.", "**Gemini** - Prompts attempting to bypass or subvert the model's safety guidelines (jailbreak attempts)." ], "enum": [ "HARM_CATEGORY_UNSPECIFIED", "HARM_CATEGORY_DEROGATORY", "HARM_CATEGORY_TOXICITY", "HARM_CATEGORY_VIOLENCE", "HARM_CATEGORY_SEXUAL", "HARM_CATEGORY_MEDICAL", "HARM_CATEGORY_DANGEROUS", "HARM_CATEGORY_HARASSMENT", "HARM_CATEGORY_HATE_SPEECH", "HARM_CATEGORY_SEXUALLY_EXPLICIT", "HARM_CATEGORY_DANGEROUS_CONTENT", "HARM_CATEGORY_CIVIC_INTEGRITY", "HARM_CATEGORY_JAILBREAK" ], "enumDeprecated": [ false, true, true, true, true, true, true, false, false, false, false, true, false ], "description": "Required. The category for this setting.", "type": "string" } }, "type": "object", "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked." }, "CustomMetadata": { "type": "object", "description": "User provided metadata stored as key-value pairs.", "properties": { "stringListValue": { "$ref": "StringList", "description": "The StringList value of the metadata to store." }, "key": { "description": "Required. The key of the metadata to store.", "type": "string" }, "numericValue": { "format": "float", "type": "number", "description": "The numeric value of the metadata to store." }, "stringValue": { "description": "The string value of the metadata to store.", "type": "string" } }, "id": "CustomMetadata" }, "FunctionDeclaration": { "properties": { "parameters": { "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", "$ref": "Schema" }, "parametersJsonSchema": { "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`.", "type": "any" }, "name": { "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.", "type": "string" }, "description": { "description": "Required. A brief description of the function.", "type": "string" }, "responseJsonSchema": { "type": "any", "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." }, "response": { "$ref": "Schema", "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function." } }, "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", "type": "object", "id": "FunctionDeclaration" }, "FunctionResponseBlob": { "properties": { "displayName": { "type": "string", "description": "Optional. Display name of the blob. Used to provide a label or filename to distinguish blobs, and to reference the blob from `FunctionResponse.response` (for example, via `{\"$ref\": \"DISPLAY_NAME\"}`)." }, "mimeType": { "type": "string", "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://aistudio.google.com/docs/file-input-methods#supported-content-types)." }, "data": { "type": "string", "description": "Raw bytes for media formats.", "format": "byte" } }, "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", "type": "object", "id": "FunctionResponseBlob" }, "Operation": { "properties": { "name": { "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", "type": "string" }, "metadata": { "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." } }, "error": { "description": "The error result of the operation in case of failure or cancellation.", "$ref": "Status" }, "response": { "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." }, "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", "type": "object" }, "done": { "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", "type": "boolean" } }, "description": "This resource represents a long-running operation that is the result of a network API call.", "id": "Operation", "type": "object" }, "GenerateContentResponse": { "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", "type": "object", "id": "GenerateContentResponse", "properties": { "candidates": { "description": "Candidate responses from the model.", "items": { "$ref": "Candidate" }, "type": "array" }, "promptFeedback": { "description": "Returns the prompt's feedback related to the content filters.", "$ref": "PromptFeedback" }, "usageMetadata": { "readOnly": true, "description": "Output only. Metadata on the generation requests' token usage.", "$ref": "UsageMetadata" }, "responseId": { "readOnly": true, "type": "string", "description": "Output only. response_id is used to identify each response." }, "modelVersion": { "description": "Output only. The model version used to generate the response.", "readOnly": true, "type": "string" }, "modelStatus": { "$ref": "ModelStatus", "readOnly": true, "description": "Output only. The current model status of this model." } } }, "Interval": { "type": "object", "id": "Interval", "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", "properties": { "startTime": { "type": "string", "format": "google-datetime", "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start." }, "endTime": { "format": "google-datetime", "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", "type": "string" } } }, "CountTokensRequest": { "type": "object", "id": "CountTokensRequest", "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", "properties": { "generateContentRequest": { "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://aistudio.google.com/docs/text-generation#system-instructions), and/or function declarations for [function calling](https://aistudio.google.com/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", "$ref": "GenerateContentRequest" }, "contents": { "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", "items": { "$ref": "Content" }, "type": "array" } } }, "BatchEmbedContentsResponse": { "type": "object", "id": "BatchEmbedContentsResponse", "properties": { "embeddings": { "items": { "$ref": "ContentEmbedding" }, "readOnly": true, "type": "array", "description": "Output only. The embeddings for each request, in the same order as provided in the batch request." }, "usageMetadata": { "$ref": "EmbeddingUsageMetadata", "description": "Output only. The usage metadata for the request.", "readOnly": true } }, "description": "The response to a `BatchEmbedContentsRequest`." }, "GdataMedia": { "id": "GdataMedia", "description": "A reference to data stored on the filesystem, on GFS or in blobstore.", "type": "object", "properties": { "bigstoreObjectRef": { "description": "Use object_id instead.", "format": "byte", "deprecated": true, "type": "string" }, "blobstore2Info": { "description": "Blobstore v2 info, set if reference_type is BLOBSTORE_REF and it refers to a v2 blob.", "$ref": "Blobstore2Info" }, "path": { "type": "string", "description": "Path to the data, set if reference_type is PATH" }, "sha256Hash": { "format": "byte", "type": "string", "description": "Scotty-provided SHA256 hash for an upload." }, "inline": { "description": "Media data, set if reference_type is INLINE", "type": "string", "format": "byte" }, "hash": { "deprecated": true, "type": "string", "description": "Deprecated, use one of explicit hash type fields instead. These two hash related fields will only be populated on Scotty based media uploads and will contain the content of the hash group in the NotificationRequest: http://cs/#google3/blobstore2/api/scotty/service/proto/upload_listener.proto&q=class:Hash Hex encoded hash value of the uploaded media." }, "hashVerified": { "description": "For Scotty uploads only. If a user sends a hash code and the backend has requested that Scotty verify the upload against the client hash, Scotty will perform the check on behalf of the backend and will reject it if the hashes don't match. This is set to true if Scotty performed this verification.", "type": "boolean" }, "downloadParameters": { "description": "Parameters for a media download.", "$ref": "DownloadParameters" }, "referenceType": { "type": "string", "enum": [ "PATH", "BLOB_REF", "INLINE", "GET_MEDIA", "COMPOSITE_MEDIA", "BIGSTORE_REF", "DIFF_VERSION_RESPONSE", "DIFF_CHECKSUMS_RESPONSE", "DIFF_DOWNLOAD_RESPONSE", "DIFF_UPLOAD_REQUEST", "DIFF_UPLOAD_RESPONSE", "COSMO_BINARY_REFERENCE", "ARBITRARY_BYTES" ], "description": "Describes what the field reference contains.", "enumDescriptions": [ "Reference contains a GFS path or a local path.", "Reference points to a blobstore object. This could be either a v1 blob_ref or a v2 blobstore2_info. Clients should check blobstore2_info first, since v1 is being deprecated.", "Data is included into this proto buffer", "Data should be accessed from the current service using the operation GetMedia.", "The content for this media object is stored across multiple partial media objects under the composite_media field.", "Reference points to a bigstore object", "Indicates the data is stored in diff_version_response.", "Indicates the data is stored in diff_checksums_response.", "Indicates the data is stored in diff_download_response.", "Indicates the data is stored in diff_upload_request.", "Indicates the data is stored in diff_upload_response.", "Indicates the data is stored in cosmo_binary_reference.", "Informs Scotty to generate a response payload with the size specified in the length field. The contents of the payload are generated by Scotty and are undefined. This is useful for testing download speeds between the user and Scotty without involving a real payload source. Note: range is not supported when using arbitrary_bytes." ] }, "diffUploadResponse": { "description": "Set if reference_type is DIFF_UPLOAD_RESPONSE.", "$ref": "DiffUploadResponse" }, "algorithm": { "deprecated": true, "description": "Deprecated, use one of explicit hash type fields instead. Algorithm used for calculating the hash. As of 2011/01/21, \"MD5\" is the only possible value for this field. New values may be added at any time.", "type": "string" }, "compositeMedia": { "items": { "$ref": "CompositeMedia" }, "description": "A composite media composed of one or more media objects, set if reference_type is COMPOSITE_MEDIA. The media length field must be set to the sum of the lengths of all composite media objects. Note: All composite media must have length specified.", "type": "array" }, "diffChecksumsResponse": { "description": "Set if reference_type is DIFF_CHECKSUMS_RESPONSE.", "$ref": "DiffChecksumsResponse" }, "filename": { "type": "string", "description": "Original file name" }, "objectId": { "$ref": "ObjectId", "description": "Reference to a TI Blob, set if reference_type is BIGSTORE_REF." }, "diffVersionResponse": { "$ref": "DiffVersionResponse", "description": "Set if reference_type is DIFF_VERSION_RESPONSE." }, "length": { "description": "Size of the data, in bytes", "format": "int64", "type": "string" }, "sha1Hash": { "format": "byte", "description": "Scotty-provided SHA1 hash for an upload.", "type": "string" }, "isPotentialRetry": { "type": "boolean", "description": "|is_potential_retry| is set false only when Scotty is certain that it has not sent the request before. When a client resumes an upload, this field must be set true in agent calls, because Scotty cannot be certain that it has never sent the request before due to potential failure in the session state persistence." }, "timestamp": { "description": "Time at which the media data was last updated, in milliseconds since UNIX epoch", "type": "string", "format": "uint64" }, "contentTypeInfo": { "description": "Extended content type information provided for Scotty uploads.", "$ref": "ContentTypeInfo" }, "contentType": { "type": "string", "description": "MIME type of the data" }, "diffDownloadResponse": { "description": "Set if reference_type is DIFF_DOWNLOAD_RESPONSE.", "$ref": "DiffDownloadResponse" }, "mediaId": { "format": "byte", "type": "string", "description": "Media id to forward to the operation GetMedia. Can be set if reference_type is GET_MEDIA." }, "md5Hash": { "format": "byte", "description": "Scotty-provided MD5 hash for an upload.", "type": "string" }, "cosmoBinaryReference": { "format": "byte", "description": "A binary data reference for a media download. Serves as a technology-agnostic binary reference in some Google infrastructure. This value is a serialized storage_cosmo.BinaryReference proto. Storing it as bytes is a hack to get around the fact that the cosmo proto (as well as others it includes) doesn't support JavaScript. This prevents us from including the actual type of this field.", "type": "string" }, "token": { "type": "string", "description": "A unique fingerprint/version id for the media data" }, "diffUploadRequest": { "$ref": "DiffUploadRequest", "description": "Set if reference_type is DIFF_UPLOAD_REQUEST." }, "blobRef": { "deprecated": true, "type": "string", "description": "Blobstore v1 reference, set if reference_type is BLOBSTORE_REF This should be the byte representation of a blobstore.BlobRef. Since Blobstore is deprecating v1, use blobstore2_info instead. For now, any v2 blob will also be represented in this field as v1 BlobRef.", "format": "byte" }, "sha512Hash": { "description": "Scotty-provided SHA512 hash for an upload.", "format": "byte", "type": "string" }, "crc32cHash": { "description": "For Scotty Uploads: Scotty-provided hashes for uploads For Scotty Downloads: (WARNING: DO NOT USE WITHOUT PERMISSION FROM THE SCOTTY TEAM.) A Hash provided by the agent to be used to verify the data being downloaded. Currently only supported for inline payloads. Further, only crc32c_hash is currently supported.", "type": "integer", "format": "uint32" } } }, "DiffUploadResponse": { "description": "Backend response for a Diff upload request. For details on the Scotty Diff protocol, visit http://go/scotty-diff-protocol.", "id": "DiffUploadResponse", "type": "object", "properties": { "objectVersion": { "type": "string", "description": "The object version of the object at the server. Must be included in the end notification response. The version in the end notification response must correspond to the new version of the object that is now stored at the server, after the upload." }, "originalObject": { "$ref": "CompositeMedia", "description": "The location of the original file for a diff upload request. Must be filled in if responding to an upload start notification." } } }, "InputEmbedContentConfig": { "description": "Configures the input to the batch request.", "properties": { "fileName": { "description": "The name of the `File` containing the input requests.", "type": "string" }, "requests": { "description": "The requests to be processed in the batch.", "$ref": "InlinedEmbedContentRequests" } }, "id": "InputEmbedContentConfig", "type": "object" }, "CreateFileRequest": { "description": "Request for `CreateFile`.", "type": "object", "properties": { "file": { "$ref": "File", "description": "Optional. Metadata for the file to create." } }, "id": "CreateFileRequest" }, "EmbedContentBatch": { "type": "object", "id": "EmbedContentBatch", "description": "A resource representing a batch of `EmbedContent` requests.", "properties": { "name": { "type": "string", "readOnly": true, "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." }, "displayName": { "type": "string", "description": "Required. The user-defined name of this batch." }, "createTime": { "readOnly": true, "description": "Output only. The time at which the batch was created.", "format": "google-datetime", "type": "string" }, "model": { "type": "string", "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." }, "state": { "readOnly": true, "enum": [ "BATCH_STATE_UNSPECIFIED", "BATCH_STATE_PENDING", "BATCH_STATE_RUNNING", "BATCH_STATE_SUCCEEDED", "BATCH_STATE_FAILED", "BATCH_STATE_CANCELLED", "BATCH_STATE_EXPIRED" ], "description": "Output only. The state of the batch.", "enumDescriptions": [ "The batch state is unspecified.", "The service is preparing to run the batch.", "The batch is in progress.", "The batch completed successfully.", "The batch failed.", "The batch has been cancelled.", "The batch has expired." ], "type": "string" }, "batchStats": { "description": "Output only. Stats about the batch.", "$ref": "EmbedContentBatchStats", "readOnly": true }, "output": { "description": "Output only. The output of the batch request.", "readOnly": true, "$ref": "EmbedContentBatchOutput" }, "updateTime": { "format": "google-datetime", "description": "Output only. The time at which the batch was last updated.", "type": "string", "readOnly": true }, "endTime": { "readOnly": true, "type": "string", "description": "Output only. The time at which the batch processing completed.", "format": "google-datetime" }, "priority": { "type": "string", "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", "format": "int64" }, "inputConfig": { "description": "Required. Input configuration of the instances on which batch processing are performed.", "$ref": "InputEmbedContentConfig" } } }, "EmbedContentResponse": { "properties": { "embedding": { "description": "Output only. The embedding generated from the input content.", "readOnly": true, "$ref": "ContentEmbedding" }, "usageMetadata": { "$ref": "EmbeddingUsageMetadata", "description": "Output only. The usage metadata for the request.", "readOnly": true } }, "description": "The response to an `EmbedContentRequest`.", "type": "object", "id": "EmbedContentResponse" }, "GroundingChunkStringList": { "properties": { "values": { "type": "array", "items": { "type": "string" }, "description": "The string values of the list." } }, "id": "GroundingChunkStringList", "description": "A list of string values.", "type": "object" }, "CitationSource": { "description": "A citation to a source for a portion of a specific response.", "id": "CitationSource", "properties": { "uri": { "description": "Optional. URI that is attributed as a source for a portion of the text.", "type": "string" }, "license": { "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", "type": "string" }, "endIndex": { "format": "int32", "description": "Optional. End of the attributed segment, exclusive.", "type": "integer" }, "startIndex": { "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", "format": "int32", "type": "integer" } }, "type": "object" }, "SemanticRetrieverChunk": { "type": "object", "properties": { "source": { "type": "string", "readOnly": true, "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`" }, "chunk": { "readOnly": true, "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", "type": "string" } }, "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", "id": "SemanticRetrieverChunk" }, "GenerationConfig": { "id": "GenerationConfig", "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", "type": "object", "properties": { "candidateCount": { "type": "integer", "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", "format": "int32" }, "topK": { "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. This field is no longer supported and is silently ignored on Gemini 3.6 Flash and newer models.", "type": "integer", "format": "int32" }, "responseModalities": { "type": "array", "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", "items": { "enumDescriptions": [ "Default value.", "Indicates the model should return text.", "Indicates the model should return images.", "Indicates the model should return audio." ], "type": "string", "enum": [ "MODALITY_UNSPECIFIED", "TEXT", "IMAGE", "AUDIO" ] } }, "mediaResolution": { "description": "Optional. If specified, the media resolution specified will be used.", "enumDescriptions": [ "Media resolution has not been set.", "Media resolution set to low (64 tokens).", "Media resolution set to medium (256 tokens).", "Media resolution set to high (zoomed reframing with 256 tokens)." ], "type": "string", "enum": [ "MEDIA_RESOLUTION_UNSPECIFIED", "MEDIA_RESOLUTION_LOW", "MEDIA_RESOLUTION_MEDIUM", "MEDIA_RESOLUTION_HIGH" ] }, "_responseJsonSchema": { "type": "any", "deprecated": true, "description": "Optional. Output schema of the generated response. This is an alternative to `response_schema` that accepts [JSON Schema](https://json-schema.org/). If set, `response_schema` must be omitted, but `response_mime_type` is required. While the full JSON Schema may be sent, not all features are supported. Specifically, only the following properties are supported: - `$id` - `$defs` - `$ref` - `$anchor` - `type` - `format` - `title` - `description` - `enum` (for strings and numbers) - `items` - `prefixItems` - `minItems` - `maxItems` - `minimum` - `maximum` - `anyOf` - `oneOf` (interpreted the same as `anyOf`) - `properties` - `additionalProperties` - `required` The non-standard `propertyOrdering` property may also be set. Cyclic references are unrolled to a limited degree and, as such, may only be used within non-required properties. (Nullable properties are not sufficient.) If `$ref` is set on a sub-schema, no other properties, except for than those starting as a `$`, may be set. Deprecated. Use `response_format` instead." }, "seed": { "type": "integer", "format": "int32", "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed." }, "responseJsonSchema": { "type": "any", "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." }, "logprobs": { "format": "int32", "type": "integer", "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]." }, "presencePenalty": { "type": "number", "format": "float", "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary." }, "stopSequences": { "items": { "type": "string" }, "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", "type": "array" }, "responseFormat": { "description": "Optional. Configuration for the response output format. Allows specifying output configuration per modality (text, audio, image) in a flat structure.", "$ref": "ResponseFormatConfig" }, "frequencyPenalty": { "format": "float", "type": "number", "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit." }, "maxOutputTokens": { "format": "int32", "type": "integer", "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function." }, "responseSchema": { "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://aistudio.google.com/docs/structured-output) for more details. Deprecated. Use `response_format` instead.", "$ref": "Schema", "deprecated": true }, "responseLogprobs": { "description": "Optional. If true, export the logprobs results in response.", "type": "boolean" }, "temperature": { "type": "number", "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. This field is no longer supported and is silently ignored on Gemini 3.6 Flash and newer models.", "format": "float" }, "responseMimeType": { "description": "Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://aistudio.google.com/docs/file-input-methods#text-file-types) for a list of all supported text MIME types.", "type": "string" }, "imageConfig": { "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", "$ref": "ImageConfig" }, "enableEnhancedCivicAnswers": { "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", "type": "boolean" }, "thinkingConfig": { "$ref": "ThinkingConfig", "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking." }, "topP": { "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. This field is no longer supported and is silently ignored on Gemini 3.6 Flash and newer models.", "format": "float", "type": "number" } } }, "FileData": { "description": "URI based data.", "type": "object", "id": "FileData", "properties": { "fileUri": { "description": "Required. URI.", "type": "string" }, "mimeType": { "description": "Optional. The IANA standard MIME type of the source data.", "type": "string" } } }, "TuningSnapshot": { "id": "TuningSnapshot", "type": "object", "description": "Record for a single tuning step.", "properties": { "meanLoss": { "description": "Output only. The mean loss of the training examples for this step.", "type": "number", "readOnly": true, "format": "float" }, "step": { "description": "Output only. The tuning step.", "format": "int32", "readOnly": true, "type": "integer" }, "epoch": { "description": "Output only. The epoch this step was part of.", "format": "int32", "type": "integer", "readOnly": true }, "computeTime": { "description": "Output only. The timestamp when this metric was computed.", "type": "string", "format": "google-datetime", "readOnly": true } } }, "UsageMetadata": { "properties": { "promptTokensDetails": { "description": "Output only. List of modalities that were processed in the request input.", "readOnly": true, "type": "array", "items": { "$ref": "ModalityTokenCount" } }, "toolUsePromptTokenCount": { "type": "integer", "description": "Output only. Number of tokens present in tool-use prompt(s).", "format": "int32", "readOnly": true }, "thoughtsTokenCount": { "description": "Output only. Number of tokens of thoughts for thinking models.", "readOnly": true, "type": "integer", "format": "int32" }, "serviceTier": { "enum": [ "unspecified", "standard", "flex", "priority" ], "description": "Output only. Service tier of the request.", "readOnly": true, "type": "string", "enumDescriptions": [ "Default service tier, which is standard.", "Standard service tier.", "Flex service tier.", "Priority service tier." ] }, "promptTokenCount": { "type": "integer", "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", "format": "int32" }, "cachedContentTokenCount": { "description": "Number of tokens in the cached part of the prompt (the cached content)", "format": "int32", "type": "integer" }, "cacheTokensDetails": { "description": "Output only. List of modalities of the cached content in the request input.", "readOnly": true, "items": { "$ref": "ModalityTokenCount" }, "type": "array" }, "candidatesTokenCount": { "type": "integer", "format": "int32", "description": "Total number of tokens across all the generated response candidates." }, "totalTokenCount": { "description": "Total token count for the generation request (prompt + tool-use prompt + thoughts + response candidates).", "format": "int32", "type": "integer" }, "toolUsePromptTokensDetails": { "items": { "$ref": "ModalityTokenCount" }, "description": "Output only. List of modalities that were processed for tool-use request inputs.", "readOnly": true, "type": "array" }, "candidatesTokensDetails": { "items": { "$ref": "ModalityTokenCount" }, "description": "Output only. List of modalities that were returned in the response.", "type": "array", "readOnly": true } }, "description": "Metadata on the generation request's token usage.", "id": "UsageMetadata", "type": "object" }, "DownloadParameters": { "description": "Parameters specific to media downloads.", "properties": { "allowGzipCompression": { "description": "A boolean to be returned in the response to Scotty. Allows/disallows gzip encoding of the payload content when the server thinks it's advantageous (hence, does not guarantee compression) which allows Scotty to GZip the response to the client.", "type": "boolean" }, "ignoreRange": { "type": "boolean", "description": "Determining whether or not Apiary should skip the inclusion of any Content-Range header on its response to Scotty." } }, "type": "object", "id": "DownloadParameters" }, "ListDocumentsResponse": { "id": "ListDocumentsResponse", "type": "object", "properties": { "documents": { "description": "The returned `Document`s.", "items": { "$ref": "Document" }, "type": "array" }, "nextPageToken": { "type": "string", "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." } }, "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`." }, "UrlContext": { "id": "UrlContext", "type": "object", "description": "Tool to support URL context retrieval.", "properties": {} }, "Blobstore2Info": { "properties": { "uploadFragmentListCreationInfo": { "format": "byte", "type": "string", "description": "A serialized Object Fragment List Creation Info passed from Bigstore -\u003e Scotty for a GCS upload. This field must never be consumed outside of Bigstore, and is not applicable to non-GCS media uploads." }, "uploadMetadataContainer": { "description": "Metadata passed from Blobstore -\u003e Scotty for a new GCS upload. This is a signed, serialized blobstore2.BlobMetadataContainer proto which must never be consumed outside of Bigstore, and is not applicable to non-GCS media uploads.", "format": "byte", "type": "string" }, "blobGeneration": { "description": "The blob generation id.", "format": "int64", "type": "string" }, "downloadExternalReadToken": { "description": "A serialized External Read Token passed from Bigstore -\u003e Scotty for a GCS download. This field must never be consumed outside of Bigstore, and is not applicable to non-GCS media uploads.", "format": "byte", "type": "string" }, "blobId": { "type": "string", "description": "The blob id, e.g., /blobstore/prod/playground/scotty" }, "readToken": { "description": "The blob read token. Needed to read blobs that have not been replicated. Might not be available until the final call.", "type": "string" }, "downloadReadHandle": { "type": "string", "description": "Read handle passed from Bigstore -\u003e Scotty for a GCS download. This is a signed, serialized blobstore2.ReadHandle proto which must never be set outside of Bigstore, and is not applicable to non-GCS media downloads.", "format": "byte" } }, "type": "object", "id": "Blobstore2Info", "description": "Information to read/write to blobstore2." }, "InlinedEmbedContentResponses": { "properties": { "inlinedResponses": { "type": "array", "readOnly": true, "items": { "$ref": "InlinedEmbedContentResponse" }, "description": "Output only. The responses to the requests in the batch." } }, "id": "InlinedEmbedContentResponses", "description": "The responses to the requests in the batch.", "type": "object" }, "ChunkingConfig": { "type": "object", "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", "properties": { "whiteSpaceConfig": { "description": "White space chunking configuration.", "$ref": "WhiteSpaceConfig" } }, "id": "ChunkingConfig" }, "RegisterFilesResponse": { "description": "Response for `RegisterFiles`.", "properties": { "files": { "items": { "$ref": "File" }, "type": "array", "description": "The registered files to be used when calling GenerateContent." } }, "id": "RegisterFilesResponse", "type": "object" }, "FunctionCallingConfig": { "properties": { "mode": { "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", "type": "string", "enum": [ "MODE_UNSPECIFIED", "AUTO", "ANY", "NONE", "VALIDATED" ], "enumDescriptions": [ "Unspecified function calling mode. This value should not be used.", "Default model behavior, model decides to predict either a function call or a natural language response.", "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." ] }, "allowedFunctionNames": { "type": "array", "items": { "type": "string" }, "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names." } }, "type": "object", "id": "FunctionCallingConfig", "description": "Configuration for specifying function calling behavior." }, "FunctionCall": { "type": "object", "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", "properties": { "id": { "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", "type": "string" }, "name": { "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", "type": "string" }, "args": { "additionalProperties": { "description": "Properties of the object.", "type": "any" }, "description": "Optional. The function parameters and values in JSON object format.", "type": "object" } }, "id": "FunctionCall" }, "AudioResponseFormat": { "type": "object", "description": "Configuration for audio output format.", "id": "AudioResponseFormat", "properties": { "bitRate": { "type": "integer", "format": "int32", "description": "Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus)." }, "sampleRate": { "description": "Optional. Sample rate in Hz.", "format": "int32", "type": "integer" }, "mimeType": { "type": "string", "enum": [ "MIME_TYPE_UNSPECIFIED", "AUDIO_MP3", "AUDIO_OGG_OPUS", "AUDIO_L16", "AUDIO_WAV", "AUDIO_ALAW", "AUDIO_MULAW" ], "enumDescriptions": [ "Default value. This value is unused.", "MP3 audio format.", "OGG Opus audio format.", "Raw PCM (L16) audio format.", "WAV audio format.", "A-law audio format.", "Mu-law audio format." ], "description": "Optional. The MIME type of the audio output." }, "delivery": { "type": "string", "enum": [ "DELIVERY_UNSPECIFIED", "INLINE", "URI" ], "enumDescriptions": [ "Default value. This value is unused.", "Audio data is returned inline in the response.", "Audio data is returned as a URI." ], "description": "Optional. The delivery mode for the audio output." } } }, "GoogleSearch": { "id": "GoogleSearch", "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", "type": "object", "properties": { "searchTypes": { "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", "$ref": "SearchTypes" }, "timeRangeFilter": { "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", "$ref": "Interval" } } }, "DiffChecksumsResponse": { "description": "Backend response for a Diff get checksums response. For details on the Scotty Diff protocol, visit http://go/scotty-diff-protocol.", "type": "object", "id": "DiffChecksumsResponse", "properties": { "checksumsLocation": { "$ref": "CompositeMedia", "description": "Exactly one of these fields must be populated. If checksums_location is filled, the server will return the corresponding contents to the user. If object_location is filled, the server will calculate the checksums based on the content there and return that to the user. For details on the format of the checksums, see http://go/scotty-diff-protocol." }, "objectSizeBytes": { "format": "int64", "description": "The total size of the server object.", "type": "string" }, "chunkSizeBytes": { "description": "The chunk size of checksums. Must be a multiple of 256KB.", "type": "string", "format": "int64" }, "objectLocation": { "description": "If set, calculate the checksums based on the contents and return them to the caller.", "$ref": "CompositeMedia" }, "objectVersion": { "description": "The object version of the object the checksums are being returned for.", "type": "string" } } }, "ReviewSnippet": { "id": "ReviewSnippet", "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", "type": "object", "properties": { "googleMapsUri": { "description": "A link that corresponds to the user review on Google Maps.", "type": "string" }, "reviewId": { "description": "The ID of the review snippet.", "type": "string" }, "title": { "type": "string", "description": "Title of the review." } } }, "Candidate": { "id": "Candidate", "type": "object", "description": "A response candidate generated from the model.", "properties": { "avgLogprobs": { "description": "Output only. Average log probability score of the candidate.", "format": "double", "readOnly": true, "type": "number" }, "groundingAttributions": { "type": "array", "items": { "$ref": "GroundingAttribution" }, "readOnly": true, "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls." }, "continuationToken": { "description": "An optional opaque continuation token returned when `finish_reason` is `CONTINUATION`. Clients can pass this token in a subsequent `GenerateContentRequest` to continue generation.", "type": "string", "format": "byte" }, "logprobsResult": { "$ref": "LogprobsResult", "description": "Output only. Log-likelihood scores for the response tokens and top tokens", "readOnly": true }, "finishMessage": { "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", "readOnly": true, "type": "string" }, "citationMetadata": { "readOnly": true, "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", "$ref": "CitationMetadata" }, "tokenCount": { "type": "integer", "description": "Output only. Token count for this candidate.", "format": "int32", "readOnly": true }, "urlContextMetadata": { "readOnly": true, "description": "Output only. Metadata related to url context retrieval tool.", "$ref": "UrlContextMetadata" }, "finishReason": { "type": "string", "readOnly": true, "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", "enum": [ "FINISH_REASON_UNSPECIFIED", "STOP", "MAX_TOKENS", "SAFETY", "RECITATION", "LANGUAGE", "OTHER", "BLOCKLIST", "PROHIBITED_CONTENT", "SPII", "MALFORMED_FUNCTION_CALL", "IMAGE_SAFETY", "IMAGE_PROHIBITED_CONTENT", "IMAGE_OTHER", "NO_IMAGE", "IMAGE_RECITATION", "UNEXPECTED_TOOL_CALL", "TOO_MANY_TOOL_CALLS", "MISSING_THOUGHT_SIGNATURE", "MALFORMED_RESPONSE", "ESCALATION", "PUP_LIMITED_DISABLED", "CONTINUATION" ], "enumDescriptions": [ "Default value. This value is unused.", "Natural stop point of the model or provided stop sequence.", "The maximum number of tokens as specified in the request was reached.", "The response candidate content was flagged for safety reasons.", "The response candidate content was flagged for recitation reasons.", "The response candidate content was flagged for using an unsupported language.", "Unknown reason.", "Token generation stopped because the content contains forbidden terms.", "Token generation stopped for potentially containing prohibited content.", "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", "The function call generated by the model is invalid.", "Token generation stopped because generated images contain safety violations.", "Image generation stopped because generated images has other prohibited content.", "Image generation stopped because of other miscellaneous issue.", "The model was expected to generate an image, but none was generated.", "Image generation stopped due to recitation.", "Model generated a tool call but no tools were enabled in the request.", "Model called too many tools consecutively, thus the system exited execution.", "Request has at least one thought signature missing.", "Finished due to malformed response.", "Request was filtered by an escalation rule.", "Indicates that token generation stopped because the user account is limited or disabled due to Prohibited Use Policy (PUP) violations.", "Token generation was stopped because the response reached the per-request token limit, but generation is not yet complete. The model response can be continued via a subsequent request using the returned `continuation_token`. Note, the `max_output_tokens` is cumulative across continuation hops and must be monotonically increased or omitted." ] }, "groundingMetadata": { "$ref": "GroundingMetadata", "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", "readOnly": true }, "content": { "readOnly": true, "description": "Output only. Generated content returned from the model.", "$ref": "Content" }, "safetyRatings": { "type": "array", "items": { "$ref": "SafetyRating" }, "description": "List of ratings for the safety of a response candidate. There is at most one rating per category." }, "index": { "description": "Output only. Index of the candidate in the list of response candidates.", "readOnly": true, "format": "int32", "type": "integer" } } }, "LogprobsResultCandidate": { "type": "object", "id": "LogprobsResultCandidate", "description": "Candidate for the logprobs token and score.", "properties": { "logProbability": { "description": "The candidate's log probability.", "type": "number", "format": "float" }, "tokenId": { "type": "integer", "format": "int32", "description": "The candidate’s token id value." }, "token": { "description": "The candidate’s token string value.", "type": "string" } } } }, "name": "generativelanguage", "canonicalName": "Generative Language", "batchPath": "batch", "discoveryVersion": "v1", "basePath": "", "documentationLink": "https://developers.generativeai.google/api", "rootUrl": "https://generativelanguage.googleapis.com/", "fullyEncodeReservedExpansion": true, "resources": { "fileSearchStores": { "methods": { "get": { "response": { "$ref": "FileSearchStore" }, "description": "Gets information about a specific `FileSearchStore`.", "parameters": { "name": { "type": "string", "required": true, "location": "path", "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "pattern": "^fileSearchStores/[^/]+$" } }, "httpMethod": "GET", "id": "generativelanguage.fileSearchStores.get", "flatPath": "v1/fileSearchStores/{fileSearchStoresId}", "parameterOrder": [ "name" ], "path": "v1/{+name}" }, "create": { "request": { "$ref": "FileSearchStore" }, "parameters": {}, "parameterOrder": [], "flatPath": "v1/fileSearchStores", "response": { "$ref": "FileSearchStore" }, "path": "v1/fileSearchStores", "id": "generativelanguage.fileSearchStores.create", "httpMethod": "POST", "description": "Creates an empty `FileSearchStore`." }, "importFile": { "scopes": [ "https://www.googleapis.com/auth/devstorage.read_only" ], "request": { "$ref": "ImportFileRequest" }, "flatPath": "v1/fileSearchStores/{fileSearchStoresId}:importFile", "response": { "$ref": "Operation" }, "parameters": { "fileSearchStoreName": { "required": true, "type": "string", "pattern": "^fileSearchStores/[^/]+$", "location": "path", "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`" } }, "parameterOrder": [ "fileSearchStoreName" ], "id": "generativelanguage.fileSearchStores.importFile", "httpMethod": "POST", "description": "Imports a `File` from File Service to a `FileSearchStore`.", "path": "v1/{+fileSearchStoreName}:importFile" }, "delete": { "response": { "$ref": "Empty" }, "httpMethod": "DELETE", "parameters": { "force": { "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", "type": "boolean", "location": "query" }, "name": { "location": "path", "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "type": "string", "required": true, "pattern": "^fileSearchStores/[^/]+$" } }, "description": "Deletes a `FileSearchStore`.", "flatPath": "v1/fileSearchStores/{fileSearchStoresId}", "id": "generativelanguage.fileSearchStores.delete", "path": "v1/{+name}", "parameterOrder": [ "name" ] }, "list": { "description": "Lists all `FileSearchStores` owned by the user.", "parameterOrder": [], "httpMethod": "GET", "flatPath": "v1/fileSearchStores", "path": "v1/fileSearchStores", "id": "generativelanguage.fileSearchStores.list", "parameters": { "pageToken": { "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", "location": "query", "type": "string" }, "pageSize": { "type": "integer", "format": "int32", "location": "query", "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page." } }, "response": { "$ref": "ListFileSearchStoresResponse" } } }, "resources": { "documents": { "methods": { "list": { "path": "v1/{+parent}/documents", "flatPath": "v1/fileSearchStores/{fileSearchStoresId}/documents", "httpMethod": "GET", "id": "generativelanguage.fileSearchStores.documents.list", "parameterOrder": [ "parent" ], "description": "Lists all `Document`s in a `Corpus`.", "parameters": { "parent": { "location": "path", "type": "string", "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", "pattern": "^fileSearchStores/[^/]+$", "required": true }, "pageSize": { "format": "int32", "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", "location": "query", "type": "integer" }, "pageToken": { "type": "string", "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", "location": "query" } }, "response": { "$ref": "ListDocumentsResponse" } }, "get": { "parameters": { "name": { "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$", "location": "path", "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "type": "string", "required": true } }, "parameterOrder": [ "name" ], "description": "Gets information about a specific `Document`.", "response": { "$ref": "Document" }, "httpMethod": "GET", "id": "generativelanguage.fileSearchStores.documents.get", "path": "v1/{+name}", "flatPath": "v1/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}" }, "delete": { "id": "generativelanguage.fileSearchStores.documents.delete", "parameters": { "name": { "type": "string", "required": true, "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$", "location": "path", "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`" }, "force": { "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", "type": "boolean", "location": "query" } }, "flatPath": "v1/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}", "parameterOrder": [ "name" ], "path": "v1/{+name}", "response": { "$ref": "Empty" }, "httpMethod": "DELETE", "description": "Deletes a `Document`." } } }, "operations": { "methods": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "response": { "$ref": "Operation" }, "httpMethod": "GET", "parameterOrder": [ "name" ], "id": "generativelanguage.fileSearchStores.operations.get", "parameters": { "name": { "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$", "type": "string", "location": "path", "required": true, "description": "The name of the operation resource." } }, "flatPath": "v1/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}", "path": "v1/{+name}" } } }, "upload": { "resources": { "operations": { "methods": { "get": { "response": { "$ref": "Operation" }, "id": "generativelanguage.fileSearchStores.upload.operations.get", "parameters": { "name": { "required": true, "location": "path", "type": "string", "description": "The name of the operation resource.", "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } }, "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "path": "v1/{+name}", "httpMethod": "GET", "flatPath": "v1/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}", "parameterOrder": [ "name" ] } } } } } } }, "operations": { "methods": { "delete": { "parameterOrder": [ "name" ], "flatPath": "v1/operations/{operationsId}", "path": "v1/{+name}", "httpMethod": "DELETE", "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", "parameters": { "name": { "required": true, "pattern": "^operations/.*$", "description": "The name of the operation resource to be deleted.", "type": "string", "location": "path" } }, "id": "generativelanguage.operations.delete", "response": { "$ref": "Empty" } }, "list": { "flatPath": "v1/operations", "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", "httpMethod": "GET", "response": { "$ref": "ListOperationsResponse" }, "parameterOrder": [ "name" ], "path": "v1/{+name}", "id": "generativelanguage.operations.list", "parameters": { "name": { "description": "The name of the operation's parent resource.", "type": "string", "pattern": "^operations$", "required": true, "location": "path" }, "pageSize": { "description": "The standard list page size.", "format": "int32", "type": "integer", "location": "query" }, "returnPartialSuccess": { "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", "type": "boolean", "location": "query" }, "pageToken": { "location": "query", "type": "string", "description": "The standard list page token." }, "filter": { "description": "The standard list filter.", "location": "query", "type": "string" } } } } }, "generatedFiles": { "resources": { "operations": { "methods": { "get": { "path": "v1/{+name}", "parameterOrder": [ "name" ], "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "parameters": { "name": { "location": "path", "type": "string", "pattern": "^generatedFiles/[^/]+/operations/[^/]+$", "description": "The name of the operation resource.", "required": true } }, "flatPath": "v1/generatedFiles/{generatedFilesId}/operations/{operationsId}", "httpMethod": "GET", "id": "generativelanguage.generatedFiles.operations.get", "response": { "$ref": "Operation" } } } } } }, "corpora": { "resources": { "operations": { "methods": { "get": { "parameters": { "name": { "type": "string", "description": "The name of the operation resource.", "location": "path", "pattern": "^corpora/[^/]+/operations/[^/]+$", "required": true } }, "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "response": { "$ref": "Operation" }, "path": "v1/{+name}", "httpMethod": "GET", "parameterOrder": [ "name" ], "id": "generativelanguage.corpora.operations.get", "flatPath": "v1/corpora/{corporaId}/operations/{operationsId}" } } } } }, "models": { "resources": { "operations": { "methods": { "list": { "parameterOrder": [ "name" ], "response": { "$ref": "ListOperationsResponse" }, "parameters": { "returnPartialSuccess": { "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", "location": "query", "type": "boolean" }, "filter": { "description": "The standard list filter.", "location": "query", "type": "string" }, "pageSize": { "location": "query", "type": "integer", "format": "int32", "description": "The standard list page size." }, "pageToken": { "description": "The standard list page token.", "location": "query", "type": "string" }, "name": { "required": true, "location": "path", "type": "string", "description": "The name of the operation's parent resource.", "pattern": "^models/[^/]+$" } }, "httpMethod": "GET", "path": "v1/{+name}/operations", "flatPath": "v1/models/{modelsId}/operations", "id": "generativelanguage.models.operations.list", "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`." }, "get": { "path": "v1/{+name}", "flatPath": "v1/models/{modelsId}/operations/{operationsId}", "httpMethod": "GET", "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "response": { "$ref": "Operation" }, "parameterOrder": [ "name" ], "id": "generativelanguage.models.operations.get", "parameters": { "name": { "required": true, "description": "The name of the operation resource.", "location": "path", "type": "string", "pattern": "^models/[^/]+/operations/[^/]+$" } } } } } }, "methods": { "streamGenerateContent": { "httpMethod": "POST", "request": { "$ref": "GenerateContentRequest" }, "parameterOrder": [ "model" ], "response": { "$ref": "GenerateContentResponse" }, "path": "v1/{+model}:streamGenerateContent", "flatPath": "v1/models/{modelsId}:streamGenerateContent", "description": "Generates a [streamed response](https://aistudio.google.com/docs/text-generation#streaming-responses) from the model given an input `GenerateContentRequest`.", "id": "generativelanguage.models.streamGenerateContent", "parameters": { "model": { "required": true, "pattern": "^models/[^/]+$", "location": "path", "type": "string", "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." } } }, "generateContent": { "path": "v1/{+model}:generateContent", "response": { "$ref": "GenerateContentResponse" }, "parameterOrder": [ "model" ], "flatPath": "v1/models/{modelsId}:generateContent", "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://aistudio.google.com/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://aistudio.google.com/docs/models) and [tuning guide](https://aistudio.google.com/docs/model-tuning) for details.", "parameters": { "model": { "pattern": "^models/[^/]+$", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string", "location": "path" } }, "httpMethod": "POST", "id": "generativelanguage.models.generateContent", "request": { "$ref": "GenerateContentRequest" } }, "countTokens": { "request": { "$ref": "CountTokensRequest" }, "flatPath": "v1/models/{modelsId}:countTokens", "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://aistudio.google.com/docs/tokens) to learn more about tokens.", "response": { "$ref": "CountTokensResponse" }, "parameters": { "model": { "location": "path", "type": "string", "pattern": "^models/[^/]+$", "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "required": true } }, "parameterOrder": [ "model" ], "id": "generativelanguage.models.countTokens", "httpMethod": "POST", "path": "v1/{+model}:countTokens" }, "get": { "response": { "$ref": "Model" }, "parameters": { "name": { "location": "path", "type": "string", "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "required": true, "pattern": "^models/[^/]+$" } }, "path": "v1/{+name}", "id": "generativelanguage.models.get", "parameterOrder": [ "name" ], "httpMethod": "GET", "flatPath": "v1/models/{modelsId}", "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://aistudio.google.com/docs/prompting-strategies#model-parameters) and other metadata. Refer to the [Gemini models guide](https://aistudio.google.com/docs/models) for detailed model information." }, "list": { "id": "generativelanguage.models.list", "parameterOrder": [], "path": "v1/models", "httpMethod": "GET", "description": "Lists the [`Model`s](https://aistudio.google.com/docs/models) available through the Gemini API.", "response": { "$ref": "ListModelsResponse" }, "flatPath": "v1/models", "parameters": { "pageSize": { "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", "location": "query", "format": "int32", "type": "integer" }, "pageToken": { "location": "query", "type": "string", "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token." } } }, "batchGenerateContent": { "id": "generativelanguage.models.batchGenerateContent", "path": "v1/{+model}:batchGenerateContent", "httpMethod": "POST", "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", "response": { "$ref": "Operation" }, "parameterOrder": [ "model" ], "parameters": { "model": { "pattern": "^models/[^/]+$", "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "required": true, "type": "string", "location": "path" } }, "flatPath": "v1/models/{modelsId}:batchGenerateContent", "request": { "$ref": "BatchGenerateContentRequest" } }, "batchEmbedContents": { "response": { "$ref": "BatchEmbedContentsResponse" }, "path": "v1/{+model}:batchEmbedContents", "flatPath": "v1/models/{modelsId}:batchEmbedContents", "httpMethod": "POST", "id": "generativelanguage.models.batchEmbedContents", "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", "parameterOrder": [ "model" ], "parameters": { "model": { "location": "path", "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "type": "string", "required": true, "pattern": "^models/[^/]+$" } }, "request": { "$ref": "BatchEmbedContentsRequest" } }, "asyncBatchEmbedContent": { "httpMethod": "POST", "request": { "$ref": "AsyncBatchEmbedContentRequest" }, "parameterOrder": [ "model" ], "flatPath": "v1/models/{modelsId}:asyncBatchEmbedContent", "id": "generativelanguage.models.asyncBatchEmbedContent", "path": "v1/{+model}:asyncBatchEmbedContent", "parameters": { "model": { "pattern": "^models/[^/]+$", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "location": "path", "type": "string" } }, "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", "response": { "$ref": "Operation" } }, "embedContent": { "parameterOrder": [ "model" ], "request": { "$ref": "EmbedContentRequest" }, "id": "generativelanguage.models.embedContent", "parameters": { "model": { "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "location": "path", "required": true, "pattern": "^models/[^/]+$", "type": "string" } }, "httpMethod": "POST", "response": { "$ref": "EmbedContentResponse" }, "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://aistudio.google.com/docs/models#specialized-task-models).", "flatPath": "v1/models/{modelsId}:embedContent", "path": "v1/{+model}:embedContent" } } }, "media": { "methods": { "download": { "path": "v1/{+name}", "parameters": { "name": { "required": true, "pattern": "^fileSearchStores/[^/]+/media/.*$", "description": "Required. The resource name of the media to download. Example: `fileSearchStores/abc-123/media/blob123`", "type": "string", "location": "path" } }, "parameterOrder": [ "name" ], "supportsMediaDownload": true, "flatPath": "v1/fileSearchStores/{fileSearchStoresId}/media/{mediaId}", "description": "Downloads media from a `FileSearchStore`.", "useMediaDownloadService": true, "response": { "$ref": "DownloadMediaResponse" }, "httpMethod": "GET", "id": "generativelanguage.media.download" }, "upload": { "id": "generativelanguage.media.upload", "path": "v1/files", "supportsMediaUpload": true, "httpMethod": "POST", "request": { "$ref": "CreateFileRequest" }, "parameterOrder": [], "flatPath": "v1/files", "scopes": [ "https://www.googleapis.com/auth/devstorage.read_only" ], "response": { "$ref": "CreateFileResponse" }, "description": "Creates a `File`.", "mediaUpload": { "accept": [ "*/*" ], "maxSize": "2147483648", "protocols": { "simple": { "multipart": true, "path": "/upload/v1/files" }, "resumable": { "multipart": true, "path": "/resumable/upload/v1/files" } } }, "parameters": {} }, "uploadToFileSearchStore": { "httpMethod": "POST", "response": { "$ref": "CustomLongRunningOperation" }, "flatPath": "v1/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore", "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", "parameterOrder": [ "fileSearchStoreName" ], "supportsMediaUpload": true, "scopes": [ "https://www.googleapis.com/auth/devstorage.read_only" ], "path": "v1/{+fileSearchStoreName}:uploadToFileSearchStore", "mediaUpload": { "accept": [ "*/*" ], "maxSize": "104857600", "protocols": { "resumable": { "multipart": true, "path": "/resumable/upload/v1/{+fileSearchStoreName}:uploadToFileSearchStore" }, "simple": { "path": "/upload/v1/{+fileSearchStoreName}:uploadToFileSearchStore", "multipart": true } } }, "id": "generativelanguage.media.uploadToFileSearchStore", "request": { "$ref": "UploadToFileSearchStoreRequest" }, "parameters": { "fileSearchStoreName": { "location": "path", "pattern": "^fileSearchStores/[^/]+$", "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", "type": "string", "required": true } } } } }, "dynamic": { "methods": { "streamGenerateContent": { "request": { "$ref": "GenerateContentRequest" }, "description": "Generates a [streamed response](https://aistudio.google.com/docs/text-generation#streaming-responses) from the model given an input `GenerateContentRequest`.", "parameters": { "model": { "type": "string", "pattern": "^dynamic/[^/]+$", "required": true, "location": "path", "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." } }, "parameterOrder": [ "model" ], "flatPath": "v1/dynamic/{dynamicId}:streamGenerateContent", "path": "v1/{+model}:streamGenerateContent", "httpMethod": "POST", "id": "generativelanguage.dynamic.streamGenerateContent", "response": { "$ref": "GenerateContentResponse" } }, "generateContent": { "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://aistudio.google.com/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://aistudio.google.com/docs/models) and [tuning guide](https://aistudio.google.com/docs/model-tuning) for details.", "parameters": { "model": { "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string", "required": true, "location": "path", "pattern": "^dynamic/[^/]+$" } }, "parameterOrder": [ "model" ], "path": "v1/{+model}:generateContent", "flatPath": "v1/dynamic/{dynamicId}:generateContent", "httpMethod": "POST", "id": "generativelanguage.dynamic.generateContent", "response": { "$ref": "GenerateContentResponse" }, "request": { "$ref": "GenerateContentRequest" } } } }, "tunedModels": { "methods": { "batchGenerateContent": { "path": "v1/{+model}:batchGenerateContent", "httpMethod": "POST", "parameterOrder": [ "model" ], "id": "generativelanguage.tunedModels.batchGenerateContent", "response": { "$ref": "Operation" }, "parameters": { "model": { "pattern": "^tunedModels/[^/]+$", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string", "location": "path" } }, "request": { "$ref": "BatchGenerateContentRequest" }, "flatPath": "v1/tunedModels/{tunedModelsId}:batchGenerateContent", "description": "Enqueues a batch of `GenerateContent` requests for batch processing." }, "streamGenerateContent": { "id": "generativelanguage.tunedModels.streamGenerateContent", "response": { "$ref": "GenerateContentResponse" }, "request": { "$ref": "GenerateContentRequest" }, "httpMethod": "POST", "flatPath": "v1/tunedModels/{tunedModelsId}:streamGenerateContent", "path": "v1/{+model}:streamGenerateContent", "parameterOrder": [ "model" ], "description": "Generates a [streamed response](https://aistudio.google.com/docs/text-generation#streaming-responses) from the model given an input `GenerateContentRequest`.", "parameters": { "model": { "pattern": "^tunedModels/[^/]+$", "type": "string", "location": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." } } }, "asyncBatchEmbedContent": { "id": "generativelanguage.tunedModels.asyncBatchEmbedContent", "parameters": { "model": { "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "required": true, "type": "string", "location": "path", "pattern": "^tunedModels/[^/]+$" } }, "path": "v1/{+model}:asyncBatchEmbedContent", "parameterOrder": [ "model" ], "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", "response": { "$ref": "Operation" }, "httpMethod": "POST", "flatPath": "v1/tunedModels/{tunedModelsId}:asyncBatchEmbedContent", "request": { "$ref": "AsyncBatchEmbedContentRequest" } }, "generateContent": { "httpMethod": "POST", "flatPath": "v1/tunedModels/{tunedModelsId}:generateContent", "response": { "$ref": "GenerateContentResponse" }, "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://aistudio.google.com/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://aistudio.google.com/docs/models) and [tuning guide](https://aistudio.google.com/docs/model-tuning) for details.", "request": { "$ref": "GenerateContentRequest" }, "parameterOrder": [ "model" ], "path": "v1/{+model}:generateContent", "parameters": { "model": { "pattern": "^tunedModels/[^/]+$", "required": true, "type": "string", "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "location": "path" } }, "id": "generativelanguage.tunedModels.generateContent" } }, "resources": { "operations": { "methods": { "cancel": { "httpMethod": "POST", "response": { "$ref": "Empty" }, "id": "generativelanguage.tunedModels.operations.cancel", "flatPath": "v1/tunedModels/{tunedModelsId}/operations/{operationsId}:cancel", "request": { "$ref": "CancelOperationRequest" }, "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", "parameterOrder": [ "name" ], "parameters": { "name": { "pattern": "^tunedModels/[^/]+/operations/[^/]+$", "description": "The name of the operation resource to be cancelled.", "location": "path", "type": "string", "required": true } }, "path": "v1/{+name}:cancel" }, "get": { "httpMethod": "GET", "path": "v1/{+name}", "parameterOrder": [ "name" ], "response": { "$ref": "Operation" }, "parameters": { "name": { "type": "string", "required": true, "pattern": "^tunedModels/[^/]+/operations/[^/]+$", "location": "path", "description": "The name of the operation resource." } }, "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "id": "generativelanguage.tunedModels.operations.get", "flatPath": "v1/tunedModels/{tunedModelsId}/operations/{operationsId}" }, "list": { "flatPath": "v1/tunedModels/{tunedModelsId}/operations", "parameters": { "pageToken": { "description": "The standard list page token.", "location": "query", "type": "string" }, "name": { "location": "path", "pattern": "^tunedModels/[^/]+$", "type": "string", "description": "The name of the operation's parent resource.", "required": true }, "pageSize": { "description": "The standard list page size.", "location": "query", "format": "int32", "type": "integer" }, "returnPartialSuccess": { "type": "boolean", "location": "query", "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation." }, "filter": { "location": "query", "description": "The standard list filter.", "type": "string" } }, "id": "generativelanguage.tunedModels.operations.list", "path": "v1/{+name}/operations", "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", "parameterOrder": [ "name" ], "httpMethod": "GET", "response": { "$ref": "ListOperationsResponse" } } } } } }, "files": { "methods": { "register": { "path": "v1/files:register", "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", "httpMethod": "POST", "response": { "$ref": "RegisterFilesResponse" }, "request": { "$ref": "RegisterFilesRequest" }, "id": "generativelanguage.files.register", "scopes": [ "https://www.googleapis.com/auth/devstorage.read_only" ], "flatPath": "v1/files:register", "parameterOrder": [], "parameters": {} }, "delete": { "path": "v1/{+name}", "response": { "$ref": "Empty" }, "scopes": [ "https://www.googleapis.com/auth/devstorage.read_only" ], "flatPath": "v1/files/{filesId}", "httpMethod": "DELETE", "parameterOrder": [ "name" ], "id": "generativelanguage.files.delete", "parameters": { "name": { "location": "path", "type": "string", "pattern": "^files/[^/]+$", "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", "required": true } }, "description": "Deletes the `File`." }, "list": { "response": { "$ref": "ListFilesResponse" }, "description": "Lists the metadata for `File`s owned by the requesting project.", "parameterOrder": [], "flatPath": "v1/files", "httpMethod": "GET", "id": "generativelanguage.files.list", "parameters": { "pageToken": { "location": "query", "description": "Optional. A page token from a previous `ListFiles` call.", "type": "string" }, "pageSize": { "type": "integer", "location": "query", "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "format": "int32" } }, "path": "v1/files", "scopes": [ "https://www.googleapis.com/auth/devstorage.read_only" ] }, "get": { "id": "generativelanguage.files.get", "parameters": { "name": { "location": "path", "required": true, "description": "Required. The name of the `File` to get. Example: `files/abc-123`", "type": "string", "pattern": "^files/[^/]+$" } }, "httpMethod": "GET", "response": { "$ref": "File" }, "description": "Gets the metadata for the given `File`.", "scopes": [ "https://www.googleapis.com/auth/devstorage.read_only" ], "path": "v1/{+name}", "parameterOrder": [ "name" ], "flatPath": "v1/files/{filesId}" } } }, "batches": { "methods": { "updateGenerateContentBatch": { "id": "generativelanguage.batches.updateGenerateContentBatch", "request": { "$ref": "GenerateContentBatch" }, "httpMethod": "PATCH", "description": "Updates a batch of GenerateContent requests for batch processing.", "flatPath": "v1/batches/{batchesId}:updateGenerateContentBatch", "parameterOrder": [ "name" ], "parameters": { "updateMask": { "description": "Optional. The list of fields to update.", "format": "google-fieldmask", "type": "string", "location": "query" }, "name": { "location": "path", "type": "string", "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "required": true, "pattern": "^batches/[^/]+$" } }, "path": "v1/{+name}:updateGenerateContentBatch", "response": { "$ref": "GenerateContentBatch" } }, "updateEmbedContentBatch": { "flatPath": "v1/batches/{batchesId}:updateEmbedContentBatch", "path": "v1/{+name}:updateEmbedContentBatch", "response": { "$ref": "EmbedContentBatch" }, "parameterOrder": [ "name" ], "id": "generativelanguage.batches.updateEmbedContentBatch", "description": "Updates a batch of EmbedContent requests for batch processing.", "httpMethod": "PATCH", "request": { "$ref": "EmbedContentBatch" }, "parameters": { "updateMask": { "location": "query", "description": "Optional. The list of fields to update.", "type": "string", "format": "google-fieldmask" }, "name": { "location": "path", "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "type": "string", "required": true, "pattern": "^batches/[^/]+$" } } }, "cancel": { "response": { "$ref": "Empty" }, "parameterOrder": [ "name" ], "httpMethod": "POST", "path": "v1/{+name}:cancel", "id": "generativelanguage.batches.cancel", "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", "parameters": { "name": { "required": true, "type": "string", "pattern": "^batches/[^/]+$", "description": "The name of the operation resource to be cancelled.", "location": "path" } }, "flatPath": "v1/batches/{batchesId}:cancel" }, "get": { "path": "v1/{+name}", "parameters": { "name": { "description": "The name of the operation resource.", "required": true, "location": "path", "type": "string", "pattern": "^batches/[^/]+$" } }, "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "response": { "$ref": "Operation" }, "httpMethod": "GET", "parameterOrder": [ "name" ], "flatPath": "v1/batches/{batchesId}", "id": "generativelanguage.batches.get" }, "list": { "path": "v1/{+name}", "parameterOrder": [ "name" ], "httpMethod": "GET", "response": { "$ref": "ListOperationsResponse" }, "id": "generativelanguage.batches.list", "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", "flatPath": "v1/batches", "parameters": { "returnPartialSuccess": { "location": "query", "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", "type": "boolean" }, "name": { "type": "string", "description": "The name of the operation's parent resource.", "location": "path", "pattern": "^batches$", "required": true }, "pageToken": { "type": "string", "location": "query", "description": "The standard list page token." }, "pageSize": { "format": "int32", "type": "integer", "description": "The standard list page size.", "location": "query" }, "filter": { "type": "string", "description": "The standard list filter.", "location": "query" } } }, "delete": { "flatPath": "v1/batches/{batchesId}", "path": "v1/{+name}", "parameters": { "name": { "required": true, "type": "string", "location": "path", "description": "The name of the operation resource to be deleted.", "pattern": "^batches/[^/]+$" } }, "id": "generativelanguage.batches.delete", "parameterOrder": [ "name" ], "response": { "$ref": "Empty" }, "httpMethod": "DELETE", "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`." } } } }, "kind": "discovery#restDescription", "version": "v1", "mtlsRootUrl": "https://generativelanguage.mtls.googleapis.com/", "endpoints": [ { "endpointUrl": "https://generativelanguage.us.rep.googleapis.com/", "description": "Regional Endpoint", "location": "us" } ], "ownerName": "Google", "auth": { "oauth2": { "scopes": { "https://www.googleapis.com/auth/devstorage.read_only": { "description": "View your data in Google Cloud Storage" } } } }, "icons": { "x16": "http://www.google.com/images/icons/product/search-16.gif", "x32": "http://www.google.com/images/icons/product/search-32.gif" }, "parameters": { "oauth_token": { "location": "query", "description": "OAuth 2.0 token for the current user.", "type": "string" }, "quotaUser": { "description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.", "location": "query", "type": "string" }, "fields": { "location": "query", "type": "string", "description": "Selector specifying which fields to include in a partial response." }, "uploadType": { "location": "query", "type": "string", "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\")." }, "key": { "description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.", "location": "query", "type": "string" }, "access_token": { "location": "query", "type": "string", "description": "OAuth access token." }, "prettyPrint": { "location": "query", "default": "true", "type": "boolean", "description": "Returns response with indentations and line breaks." }, "alt": { "enum": [ "json", "media", "proto" ], "description": "Data format for response.", "location": "query", "default": "json", "type": "string", "enumDescriptions": [ "Responses with Content-Type of application/json", "Media download with context-dependent Content-Type", "Responses with Content-Type of application/x-protobuf" ] }, "upload_protocol": { "type": "string", "description": "Upload protocol for media (e.g. \"raw\", \"multipart\").", "location": "query" }, "callback": { "location": "query", "description": "JSONP", "type": "string" }, "$.xgafv": { "description": "V1 error format.", "enumDescriptions": [ "v1 error format", "v2 error format" ], "enum": [ "1", "2" ], "location": "query", "type": "string" } }, "baseUrl": "https://generativelanguage.googleapis.com/", "protocol": "rest", "ownerDomain": "google.com", "description": "The Gemini API allows developers to build generative AI applications using Gemini models. Gemini is our most capable model, built from the ground up to be multimodal. It can generalize and seamlessly understand, operate across, and combine different types of information including language, images, audio, video, and code. You can use the Gemini API for use cases like reasoning across text and images, content generation, dialogue agents, summarization and classification systems, and more.", "revision": "20261113" }