flutter_app_copilot 0.2.2

Let users control your Flutter app through chat. Turn requests like "turn on dark mode" into actions your app runs, using Gemini, OpenAI, or Claude.

Flutter App Copilot

This package lets your app's users prompt AI so it can execute actions and operations inside your app, such as:

• "Turn on dark mode" → change an app setting.
• "Change my name to Maya" → update a profile.
• "Take me to my orders" → navigate to a screen.

You define the actions your app exposes. The package connects to Gemini, OpenAI, or Claude, runs model-requested actions through your handler, and returns the model's final reply. Your app keeps control of its business rules, data, and UI.

Demo

In this demo, a user chats with the in-app agent and the app responds: "Turn dark mode on" switches the app's theme. "Change my name to Joe" updates the profile and confirms the change. Each request runs through your own AiActionHandler, so the model only does what your app exposes.

Features

Feature	What it provides
One provider interface	Use AIService with Gemini, OpenAI, or Claude.
Function calling	Connect model requests to your existing app logic.
Typed failures	Distinguish invalid input, request errors, and unusable replies.
Optional navigation context	Describe the current GoRouter stack and available routes.

How it works

1. Your app sends a message through AIService.send().
2. The model requests a function, such as add_numbers, with JSON arguments.
3. Your AiActionHandler validates the arguments and calls the matching action.
4. The package sends the action's result back to the model.
5. This repeats until the model returns its final text reply, with a limit of 12 tool rounds per request.

Installation

Requires Flutter with Dart >=3.13.7 <4.0.0. Dependencies may impose additional platform requirements.

flutter pub add flutter_app_copilot

For a local copy, use a path: dependency instead. Import the public API:

import 'package:flutter_app_copilot/flutter_app_copilot.dart';

Quick start

Your integration has three pieces:

Piece	Your responsibility
FunctionDefinition	Describe each tool's name, purpose, and expected arguments.
AiExecutableAction	Implement the operation using your app's logic.
AiActionHandler	Match the function name, parse its arguments, and execute the action.

The complete calculator example defines functionDefinitionList, AddNumbersAction, and CalculatorActionHandler. After defining those pieces in your app, connect and call them like this:

final ai = AIServiceFactory.create(
  provider: AIProvider.openAI,
  apiKey: apiKey,
  modelName: modelName,
  configuration: AIConfiguration(
    systemPrompt: 'Use add_numbers for addition. Reply with the result.',
    functionDefinitions: functionDefinitionList,
  ),
  actionHandler: CalculatorActionHandler([AddNumbersAction()]),
);

final messages = [ChatMessage.user('What is 12 plus 30?')];
final reply = await ai.send(messages);
messages.add(ChatMessage.model(reply));

Supply your provider's API key and a model ID available to your account. See the example guide for the flow and customization notes.

Implementing actions

Actions receive a typed input and return Either<Failure, Output>:

class AddNumbersAction implements AiExecutableAction<AddNumbersInput, num, Error> {
  @override
  Future<Either<Error, num>> execute(AddNumbersInput input) async =>
      Right(input.numbers.fold<num>(0, (sum, number) => sum + number));
}

AddNumbersInput is defined by the example, not the package. Its fromJson method parses the actual values in response.functionArgs into a typed input. FunctionDefinition describes the schema the model uses to produce those values.

In your handler, match the function name and select the registered action, then:

final input = AddNumbersInput.fromJson(response.functionArgs);
if (input.isLeft) {
  return Left(input.left);
}

final result = await action.execute(input.right);
return result.map((sum) => sum.toString());

Return Right(result) on success or Left(error) for expected action failures. The package sends either result back to the model so it can continue or explain what went wrong. Adding an action to actions alone does not register its function definition or dispatch its calls; implement both explicitly.

Providers

Provider	Factory value	Setup
OpenAI	AIProvider.openAI	Supply a non-empty API key.
Claude	AIProvider.claude	Supply a non-empty API key.
Gemini	AIProvider.gemini	Supply a non-empty Gemini API key.

modelName is optional. Omitting it or passing a blank value uses the provider's packaged default, available through AIProvider.defaultModelName. To switch providers, change the factory value and supply the matching credentials and model ID.

Navigation context

Add go_router as a direct dependency and import it alongside this package:

import 'package:go_router/go_router.dart';

final reply = await ai.send(messages, appContext: router.getRouterContext());

The exported GoRouterStateContext extension provides currentStack(), routeTree(), routeParameterShapes(), and getRouterContext(). This supplies route information as text; your app still implements any navigation action exposed to the model. Dynamic route placeholders are also listed with their argument shape, such as /products/:productId with {"productId": "<string>"} (optional :id? placeholders are marked (optional)). Path parameter values are always strings. Add a pathParameters object to your navigation function schema so the model can provide those values. You can also pass your own context string without GoRouter. Context is appended only to the outgoing copy of the final user message.

Handling failures

Catch AIProviderFailure at your application's logic boundary and convert it into a failure result or presentation state:

Future<Either<AIProviderFailure, String>> sendSafely(
  AIService ai,
  List<ChatMessage> messages,
) async {
  try {
    return Right(await ai.send(messages));
  } on AIProviderFailure catch (failure) {
    return Left(failure);
  }
}

Failure	Meaning
AIProviderInvalidInputFailure	Empty conversation, blank user text, or an assistant message at the end.
AIProviderRequestFailure	A network or provider request failed.
AIProviderTooManyCallsFailure	The model reached the tool-round limit.
AIProviderMalformedToolCallFailure	A tool call had missing or unreadable fields.
AIProviderEmptyResponseFailure	The model returned no usable text.
AIProviderInvalidResponseFailure	The provider response had an unexpected shape.

Failures expose code, a stable reason, and an optional diagnostic message. Branch on the failure type or stable fields rather than its human-readable text. Validate setup separately: a missing or blank apiKey throws StateError during creation. Errors thrown by your own action handler also need handling at your app boundary.

Responsibilities and scope

The package owns	Your app owns
Provider requests and response parsing	Provider selection, credentials, and Firebase setup
Tool-call continuation and provider failures	Function definitions, argument validation, and actions
Chat models and route-context formatting	Conversation state, storage, and UI

The API returns complete text replies. Streaming, request cancellation, conversation persistence, offline replies, and cache fallback are not included. Import supported types from flutter_app_copilot.dart; lib/src/ contains implementation details.

License

MIT. Copyright © 2026 Yousef Shams.