Files
firebase-ios-sdk/FirebaseVertexAI/Sources/FunctionCalling.swift
T

197 lines
6.8 KiB
Swift

// Copyright 2024 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import Foundation
/// A predicted function call returned from the model.
public struct FunctionCall: Equatable, Sendable {
/// The name of the function to call.
public let name: String
/// The function parameters and values.
public let args: JSONObject
}
/// Structured representation of a function declaration.
///
/// 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.
public struct FunctionDeclaration {
/// The name of the function.
let name: String
/// A brief description of the function.
let description: String
/// Describes the parameters to this function; must be of type ``DataType/object``.
let parameters: Schema?
/// Constructs a new `FunctionDeclaration`.
///
/// - Parameters:
/// - name: The name of the function; must be a-z, A-Z, 0-9, or contain underscores and dashes,
/// with a maximum length of 63.
/// - description: A brief description of the function.
/// - parameters: Describes the parameters to this function; the keys are parameter names and
/// the values are ``Schema`` objects describing them.
/// - requiredParameters: A list of required parameters by name.
public init(name: String, description: String, parameters: [String: Schema]?,
requiredParameters: [String]? = nil) {
self.name = name
self.description = description
self.parameters = Schema(
type: .object,
properties: parameters,
requiredProperties: requiredParameters
)
}
}
/// Helper tools 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.
public struct Tool {
/// A list of `FunctionDeclarations` available to the model.
let functionDeclarations: [FunctionDeclaration]?
/// Constructs a new `Tool`.
///
/// - Parameters:
/// - functionDeclarations: 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`` in ``ModelContent/Part/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`` in ``ModelContent/Part/functionResponse(_:)`` with the
/// ``ModelContent/role`` "function", providing generation context for the next model turn.
public init(functionDeclarations: [FunctionDeclaration]?) {
self.functionDeclarations = functionDeclarations
}
}
/// Configuration for specifying function calling behavior.
public struct FunctionCallingConfig {
/// Defines the execution behavior for function calling by defining the
/// execution mode.
public enum Mode: String {
/// The default behavior for function calling. The model calls functions to answer queries at
/// its discretion.
case auto = "AUTO"
/// The model always predicts a provided function call to answer every query.
case any = "ANY"
/// The model will never predict a function call to answer a query. This can also be achieved by
/// not passing any tools to the model.
case none = "NONE"
}
/// Specifies the mode in which function calling should execute. If
/// unspecified, the default value will be set to AUTO.
let mode: Mode?
/// 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. Function names
/// should match [FunctionDeclaration.name]. With mode set to ANY, model will
/// predict a function call from the set of function names provided.
let allowedFunctionNames: [String]?
public init(mode: FunctionCallingConfig.Mode? = nil, allowedFunctionNames: [String]? = nil) {
self.mode = mode
self.allowedFunctionNames = allowedFunctionNames
}
}
/// Tool configuration for any `Tool` specified in the request.
public struct ToolConfig {
let functionCallingConfig: FunctionCallingConfig?
public init(functionCallingConfig: FunctionCallingConfig? = nil) {
self.functionCallingConfig = functionCallingConfig
}
}
/// Result output from a ``FunctionCall``.
///
/// 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.
public struct FunctionResponse: Equatable, Sendable {
/// The name of the function that was called.
let name: String
/// The function's response.
let response: JSONObject
/// Constructs a new `FunctionResponse`.
///
/// - Parameters:
/// - name: The name of the function that was called.
/// - response: The function's response.
public init(name: String, response: JSONObject) {
self.name = name
self.response = response
}
}
// MARK: - Codable Conformance
extension FunctionCall: Decodable {
enum CodingKeys: CodingKey {
case name
case args
}
public init(from decoder: Decoder) throws {
let container = try decoder.container(keyedBy: CodingKeys.self)
name = try container.decode(String.self, forKey: .name)
if let args = try container.decodeIfPresent(JSONObject.self, forKey: .args) {
self.args = args
} else {
args = JSONObject()
}
}
}
extension FunctionCall: Encodable {}
extension FunctionDeclaration: Encodable {
enum CodingKeys: String, CodingKey {
case name
case description
case parameters
}
public func encode(to encoder: Encoder) throws {
var container = encoder.container(keyedBy: CodingKeys.self)
try container.encode(name, forKey: .name)
try container.encode(description, forKey: .description)
try container.encode(parameters, forKey: .parameters)
}
}
extension Tool: Encodable {}
extension FunctionCallingConfig: Encodable {}
extension FunctionCallingConfig.Mode: Encodable {}
extension ToolConfig: Encodable {}
extension FunctionResponse: Codable {}