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41f615cc6b
feat!: add support for video_metadata feat: add time_range_filter to GoogleSearch tool type feat: add support for function response scheduling in the conversation feat: add url_context to GoogleSearch tool type feat: add MultiSpeakerVoiceConfig to speech config feat: add UNEXPECTED_TOOL_CALL to the Candidate.FinishReason enum feat: add AudioTranscriptionConfig feat: add a flag whether the model supports thinking PiperOrigin-RevId: 799564554
112 lines
3.8 KiB
Protocol Buffer
112 lines
3.8 KiB
Protocol Buffer
// Copyright 2025 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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syntax = "proto3";
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package google.ai.generativelanguage.v1beta;
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import "google/api/field_behavior.proto";
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import "google/api/resource.proto";
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option go_package = "cloud.google.com/go/ai/generativelanguage/apiv1beta/generativelanguagepb;generativelanguagepb";
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option java_multiple_files = true;
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option java_outer_classname = "ModelProto";
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option java_package = "com.google.ai.generativelanguage.v1beta";
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// Information about a Generative Language Model.
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message Model {
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option (google.api.resource) = {
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type: "generativelanguage.googleapis.com/Model"
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pattern: "models/{model}"
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};
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// Required. The resource name of the `Model`. Refer to [Model
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// variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations)
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// for all allowed values.
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//
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// Format: `models/{model}` with a `{model}` naming convention of:
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//
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// * "{base_model_id}-{version}"
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//
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// Examples:
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//
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// * `models/gemini-1.5-flash-001`
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string name = 1 [(google.api.field_behavior) = REQUIRED];
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// Required. The name of the base model, pass this to the generation request.
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//
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// Examples:
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//
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// * `gemini-1.5-flash`
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string base_model_id = 2 [(google.api.field_behavior) = REQUIRED];
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// Required. The version number of the model.
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//
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// This represents the major version (`1.0` or `1.5`)
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string version = 3 [(google.api.field_behavior) = REQUIRED];
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// The human-readable name of the model. E.g. "Gemini 1.5 Flash".
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//
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// The name can be up to 128 characters long and can consist of any UTF-8
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// characters.
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string display_name = 4;
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// A short description of the model.
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string description = 5;
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// Maximum number of input tokens allowed for this model.
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int32 input_token_limit = 6;
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// Maximum number of output tokens available for this model.
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int32 output_token_limit = 7;
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// The model's supported generation methods.
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//
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// The corresponding API method names are defined as Pascal case
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// strings, such as `generateMessage` and `generateContent`.
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repeated string supported_generation_methods = 8;
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// Controls the randomness of the output.
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//
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// Values can range over `[0.0,max_temperature]`, inclusive. A higher value
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// will produce responses that are more varied, while a value closer to `0.0`
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// will typically result in less surprising responses from the model.
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// This value specifies default to be used by the backend while making the
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// call to the model.
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optional float temperature = 9;
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// The maximum temperature this model can use.
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optional float max_temperature = 13;
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// For [Nucleus
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// sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p).
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//
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// Nucleus sampling considers the smallest set of tokens whose probability
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// sum is at least `top_p`.
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// This value specifies default to be used by the backend while making the
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// call to the model.
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optional float top_p = 10;
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// For Top-k sampling.
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//
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// Top-k sampling considers the set of `top_k` most probable tokens.
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// This value specifies default to be used by the backend while making the
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// call to the model.
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// If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't
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// allowed as a generation parameter.
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optional int32 top_k = 11;
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// Whether the model supports thinking.
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bool thinking = 15;
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}
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