{
"id": "4c4b2813-cf8a-4272-a8a1-1294532ce6f4",
"name": "Whats up with this project",
"created": "2026-04-15T13:47:24.378191Z",
"updated": "2026-04-15T16:48:05.601011Z",
"messages": [
{
"role": "user",
"content": "Whats up with this project",
"timestamp": "2026-04-15T13:47:24.420264Z"
},
{
"role": "tool",
"content": "Glob call\n{\n \"pattern\": \"*\",\n \"path\": \"/Users/imbenji/StudioProjects/capstone_project\"\n}",
"timestamp": "2026-04-15T13:47:29.266621Z"
},
{
"role": "tool",
"content": "Glob result\nprogress.md\narchitecture.md\n.env\npubspec.yaml\n.flutter-plugins-dependencies\npubspec.lock\ncapstone_project.iml\n.DS_Store\nREADME.md\n.metadata\nanalysis_options.yaml\n.gitignore\nFound 12 files in 81ms",
"timestamp": "2026-04-15T13:47:29.350012Z"
},
{
"role": "tool",
"content": "Glob call\n{\n \"pattern\": \"**/*.{md,gradle,kts,xml,kt,java,js,ts,json,yml,yaml}\",\n \"path\": \"/Users/imbenji/StudioProjects/capstone_project\"\n}",
"timestamp": "2026-04-15T13:47:29.350095Z"
},
{
"role": "tool",
"content": "Glob result\nNo files found",
"timestamp": "2026-04-15T13:47:29.451620Z"
},
{
"role": "tool",
"content": "Grep call\n{\n \"pattern\": \"^(rootProject.name|include\\\\(|plugins\\\\s*\\\\{|dependencies\\\\s*\\\\{|applicationId|namespace|compileSdk|minSdk|targetSdk)\",\n \"path\": \"/Users/imbenji/StudioProjects/capstone_project\",\n \"glob\": \"**/*.{gradle,kts}\",\n \"output_mode\": \"content\"\n}",
"timestamp": "2026-04-15T13:47:29.451830Z"
},
{
"role": "tool",
"content": "Grep result\nmacos/Flutter/ephemeral/.symlinks/plugins/file_picker/example/android/app/build.gradle.kts:1:plugins {\nmacos/Flutter/ephemeral/.symlinks/plugins/file_picker/example/android/settings.gradle.kts:20:plugins {\n--\nmacos/Flutter/ephemeral/.symlinks/plugins/file_picker/example/android/settings.gradle.kts:26:include(\":app\")\nmacos/Flutter/ephemeral/.symlinks/plugins/file_picker/android/build.gradle:60:dependencies {\nmacos/Flutter/ephemeral/.symlinks/plugins/file_picker/android/settings.gradle:1:rootProject.name = 'file_picker'\nios/.symlinks/plugins/irondash_engine_context/android/settings.gradle:1:rootProject.name = 'irondash_engine_context'\nios/.symlinks/plugins/super_native_extensions/android/settings.gradle:1:rootProject.name = 'super_native_extensions'\nios/.symlinks/plugins/device_info_plus/example/android/app/build.gradle:1:plugins {\nios/.symlinks/plugins/device_info_plus/example/android/settings.gradle:19:plugins {\nios/.symlinks/plugins/device_info_plus/android/settings.gradle:1:rootProject.name = 'device_info'\nlinux/flutter/ephemeral/.plugin_symlinks/file_picker/example/android/app/build.gradle.kts:1:plugins {\nlinux/flutter/ephemeral/.plugin_symlinks/file_picker/example/android/settings.gradle.kts:20:plugins {\n--\nlinux/flutter/ephemeral/.plugin_symlinks/file_picker/example/android/settings.gradle.kts:26:include(\":app\")\nlinux/flutter/ephemeral/.plugin_symlinks/file_picker/android/build.gradle:60:dependencies {\nlinux/flutter/ephemeral/.plugin_symlinks/file_picker/android/settings.gradle:1:rootProject.name = 'file_picker'\nandroid/app/build.gradle.kts:1:plugins {\nandroid/settings.gradle.kts:20:plugins {\n--\nandroid/settings.gradle.kts:26:include(\":app\")\nwindows/flutter/ephemeral/.plugin_symlinks/file_picker/example/android/app/build.gradle.kts:1:plugins {\nwindows/flutter/ephemeral/.plugin_symlinks/file_picker/example/android/settings.gradle.kts:20:plugins {\n--\nwindows/flutter/ephemeral/.plugin_symlinks/file_picker/example/android/settings.gradle.kts:26:include(\":app\")\nwindows/flutter/ephemeral/.plugin_symlinks/file_picker/android/build.gradle:60:dependencies {\nwindows/flutter/ephemeral/.plugin_symlinks/file_picker/android/settings.gradle:1:rootProject.name = 'file_picker'",
"timestamp": "2026-04-15T13:47:29.805065Z"
},
{
"role": "assistant",
"content": "I’m checking the app entry points and docs.",
"timestamp": "2026-04-15T13:47:34.601349Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/README.md\",\n \"offset\": 0,\n \"limit\": 250\n}",
"timestamp": "2026-04-15T13:47:35.248696Z"
},
{
"role": "tool",
"content": "Read result\n1\t# Augor\n2\t\n3\t> Using embeddings to find meaningful patterns in financial news\n4\t\n5\t## What is this?\n6\t\n7\tAugor is a Flutter desktop application that aggregates financial news from multiple RSS sources and uses OpenAI embeddings to cluster related articles about the same business events. Instead of manually tracking dozens of news sources, Augor automatically groups stories so you can see what's actually happening in markets.\n8\t\n9\t## Current Features\n10\t\n11\t**RSS Feed Aggregation**\n12\t- Supports RSS and Atom feeds\n13\t- Pre-configured with 20+ major business news sources (Reuters, Bloomberg, WSJ, etc)\n14\t- Add custom feeds through the settings interface\n15\t- Enable/disable feeds individually\n16\t\n17\t**AI-Powered Processing**\n18\t- Generates embeddings using OpenAI's text-embedding-3-small model\n19\t- Filters articles for business relevance using keyword similarity\n20\t- Groups related articles about the same event using cosine similarity\n21\t- Exports results as JSON for further analisis\n22\t\n23\t**Settings Management**\n24\t- Configure OpenAI API key\n25\t- Manage RSS feed sources\n26\t- Set custom storage location for output files\n27\t\n28\t## Technical Stack\n29\t\n30\t- **Flutter** - Cross-platform desktop app (macOS, Windows, Linux)\n31\t- **shadcn_flutter** - UI component library\n32\t- **OpenAI API** - Text embeddings for semantic similarity\n33\t- **Provider** - State managment\n34\t- **go_router** - Navigation\n35\t\n36\t## Setup\n37\t\n38\t1. Clone the repository\n39\t2. Install dependencies:\n40\t ```bash\n41\t flutter pub get\n42\t ```\n43\t3. Create a `.env` file with your OpenAI API key (or configure it in the app settings)\n44\t4. Run the app:\n45\t ```bash\n46\t flutter run\n47\t ```\n48\t\n49\t## How it works\n50\t\n51\t1. **Aggregate** - Fetches articles from all enabled RSS feeds\n52\t2. **Embed** - Generates vector embeddings for article titles and descriptions\n53\t3. **Filter** - Removes articles not relevant to business/finance using keyword matching\n54\t4. **Cluster** - Groups similar articles (cosine similarity >= 0.7) to identify events\n55\t5. **Export** - Saves results to JSON files in your configured storage location\n56\t\n57\t## Output Files\n58\t\n59\tThe app generates several JSON files in your storage directory:\n60\t\n61\t- `aggregated_feed.json` - All fetched articles\n62\t- `enriched_aggregated_feed.json` - Articles with embeddings\n63\t- `relevant_aggregated_feed.json` - Filtered relevant articles\n64\t- `grouped_relevant_aggregated_feed.json` - Articles clustered by event\n65\t- `readable_*.json` - Human-readable versions without embeddings\n66\t\n67\t## Author\n68\t\n69\tBenjamin Watt\n70\tSupervisor: Panagiotis Kanellopoulos\n71\tUniversity of Essex\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:47:35.251090Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/architecture.md\",\n \"offset\": 0,\n \"limit\": 250\n}",
"timestamp": "2026-04-15T13:47:35.251166Z"
},
{
"role": "tool",
"content": "Read result\n1\t# Architecture\n2\t\n3\t## Overview\n4\tAugor is a Flutter application that aggregates business news feeds, enriches items with OpenAI embeddings, filters for business relevance, groups similar stories into events, and writes JSON outputs to local storage.\n5\t\n6\t## Runtime Components\n7\t- `lib/main.dart`\n8\t - App entrypoint.\n9\t - Loads persisted settings before rendering UI.\n10\t - Registers `SettingsProvider` in `MultiProvider`.\n11\t - Configures navigation with `go_router`.\n12\t- `lib/pages/home.dart`\n13\t - Primary processing trigger (`Aggregate your feeds` button).\n14\t - Orchestrates feed fetch, embedding generation, relevance filtering, event grouping, and file export.\n15\t- `lib/pages/settings.dart`\n16\t - Settings UI for API key, feed list management, and output directory selection.\n17\t - Supports add/edit feed, enable/disable feed, and storage path reset.\n18\t- `lib/widgets/navbar.dart`\n19\t - Shared bottom navigation between Home and Settings.\n20\t- `lib/providers/settings.dart`\n21\t - `ChangeNotifier` state container.\n22\t - Persists OpenAI key, feed list, and storage path with `SharedPreferences`.\n23\t - Holds default feed catalog (20+ sources).\n24\t- `lib/utils/agrigator.dart`\n25\t - Feed/domain logic:\n26\t - RSS/Atom parsing (`xml` package)\n27\t - HTTP feed retrieval (`http` package)\n28\t - embedding generation and similarity scoring\n29\t - event grouping by cosine similarity\n30\t- `lib/utils/openai.dart`\n31\t - Internal OpenAI API wrapper for chat and embeddings endpoints.\n32\t - Current app flow uses embeddings API only.\n33\t\n34\t## Data Flow\n35\t1. App startup loads persisted settings in `SettingsProvider.load()`.\n36\t2. User triggers processing from Home page.\n37\t3. App builds URI list from configured feeds and fetches XML feeds concurrently.\n38\t4. Parsed items are serialized to `aggregated_feed.json`.\n39\t5. Embeddings are generated per item using `text-embedding-3-small`.\n40\t6. Enriched items are written to `enriched_aggregated_feed.json`.\n41\t7. A fixed business keyword embedding is generated once in-memory.\n42\t8. Items are filtered via cosine similarity threshold (`0.25`) and saved.\n43\t9. Relevant items are grouped into events using pairwise similarity threshold (`0.7`) and saved.\n44\t10. Human-readable variants (without embeddings) are also exported.\n45\t\n46\t## Storage\n47\t- Persistent settings: `SharedPreferences`\n48\t - `openai_api_key`\n49\t - `feeds`\n50\t - `application_storage_location`\n51\t- Output artifacts: user-selected application storage directory\n52\t - `aggregated_feed.json`\n53\t - `enriched_aggregated_feed.json`\n54\t - `relevant_aggregated_feed.json`\n55\t - `readable_relevant_aggregated_feed.json`\n56\t - `grouped_relevant_aggregated_feed.json`\n57\t - `readable_grouped_relevant_aggregated_feed.json`\n58\t\n59\t## Architectural Characteristics\n60\t- UI-driven orchestration: pipeline runs directly in page-level widget callback.\n61\t- Local-first processing: all exported artifacts are stored on local filesystem.\n62\t- Minimal layering: feed processing, networking, and model calls are mostly concentrated in utility files.\n63\t- Provider-based state: single settings provider, no additional domain state stores.\n64\t\n65\t## Current Constraints\n66\t- No background job queue or cancellation for long-running processing.\n67\t- No retry/backoff strategy for feed/network/OpenAI requests.\n68\t- No deduplication across feeds before embedding.\n69\t- No repository/service boundary for easier testing of business logic.\n70\t- Limited automated validation coverage (see `progress.md`).\n71\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:47:35.252273Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/pubspec.yaml\",\n \"offset\": 0,\n \"limit\": 250\n}",
"timestamp": "2026-04-15T13:47:35.252311Z"
},
{
"role": "tool",
"content": "Read result\n1\tname: capstone_project\n2\tdescription: \"A new Flutter project.\"\n3\t# The following line prevents the package from being accidentally published to\n4\t# pub.dev using `flutter pub publish`. This is preferred for private packages.\n5\tpublish_to: 'none' # Remove this line if you wish to publish to pub.dev\n6\t\n7\t# The following defines the version and build number for your application.\n8\t# A version number is three numbers separated by dots, like 1.2.43\n9\t# followed by an optional build number separated by a +.\n10\t# Both the version and the builder number may be overridden in flutter\n11\t# build by specifying --build-name and --build-number, respectively.\n12\t# In Android, build-name is used as versionName while build-number used as versionCode.\n13\t# Read more about Android versioning at https://developer.android.com/studio/publish/versioning\n14\t# In iOS, build-name is used as CFBundleShortVersionString while build-number is used as CFBundleVersion.\n15\t# Read more about iOS versioning at\n16\t# https://developer.apple.com/library/archive/documentation/General/Reference/InfoPlistKeyReference/Articles/CoreFoundationKeys.html\n17\t# In Windows, build-name is used as the major, minor, and patch parts\n18\t# of the product and file versions while build-number is used as the build suffix.\n19\tversion: 1.0.0+1\n20\t\n21\tenvironment:\n22\t sdk: ^3.10.0-75.1.beta\n23\t\n24\t# Dependencies specify other packages that your package needs in order to work.\n25\t# To automatically upgrade your package dependencies to the latest versions\n26\t# consider running `flutter pub upgrade --major-versions`. Alternatively,\n27\t# dependencies can be manually updated by changing the version numbers below to\n28\t# the latest version available on pub.dev. To see which dependencies have newer\n29\t# versions available, run `flutter pub outdated`.\n30\tdependencies:\n31\t flutter:\n32\t sdk: flutter\n33\t go_router: ^16.2.4\n34\t shadcn_flutter: ^0.0.52\n35\t provider: ^6.1.5+1\n36\t shared_preferences: ^2.5.4\n37\t uid: ^0.1.1\n38\t xml: ^6.6.1\n39\t file_picker: ^10.3.7\n40\t path_provider: ^2.1.5\n41\t http: ^1.2.2\n42\t\n43\t # The following adds the Cupertino Icons font to your application.\n44\t # Use with the CupertinoIcons class for iOS style icons.\n45\t cupertino_icons: ^1.0.8\n46\t\n47\tdev_dependencies:\n48\t flutter_test:\n49\t sdk: flutter\n50\t\n51\t # The \"flutter_lints\" package below contains a set of recommended lints to\n52\t # encourage good coding practices. The lint set provided by the package is\n53\t # activated in the `analysis_options.yaml` file located at the root of your\n54\t # package. See that file for information about deactivating specific lint\n55\t # rules and activating additional ones.\n56\t flutter_lints: ^6.0.0\n57\t\n58\t# For information on the generic Dart part of this file, see the\n59\t# following page: https://dart.dev/tools/pub/pubspec\n60\t\n61\t# The following section is specific to Flutter packages.\n62\tflutter:\n63\t\n64\t # The following line ensures that the Material Icons font is\n65\t # included with your application, so that you can use the icons in\n66\t # the material Icons class.\n67\t uses-material-design: true\n68\t\n69\t # To add assets to your application, add an assets section, like this:\n70\t # assets:\n71\t # - images/a_dot_burr.jpeg\n72\t # - images/a_dot_ham.jpeg\n73\t\n74\t # An image asset can refer to one or more resolution-specific \"variants\", see\n75\t # https://flutter.dev/to/resolution-aware-images\n76\t\n77\t # For details regarding adding assets from package dependencies, see\n78\t # https://flutter.dev/to/asset-from-package\n79\t\n80\t # To add custom fonts to your application, add a fonts section here,\n81\t # in this \"flutter\" section. Each entry in this list should have a\n82\t # \"family\" key with the font family name, and a \"fonts\" key with a\n83\t # list giving the asset and other descriptors for the font. For\n84\t # example:\n85\t # fonts:\n86\t # - family: Schyler\n87\t # fonts:\n88\t # - asset: fonts/Schyler-Regular.ttf\n89\t # - asset: fonts/Schyler-Italic.ttf\n90\t # style: italic\n91\t # - family: Trajan Pro\n92\t # fonts:\n93\t # - asset: fonts/TrajanPro.ttf\n94\t # - asset: fonts/TrajanPro_Bold.ttf\n95\t # weight: 700\n96\t #\n97\t # For details regarding fonts from package dependencies,\n98\t # see https://flutter.dev/to/font-from-package\n99\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:47:35.253231Z"
},
{
"role": "tool",
"content": "Glob call\n{\n \"pattern\": \"lib/**/*\",\n \"path\": \"/Users/imbenji/StudioProjects/capstone_project\"\n}",
"timestamp": "2026-04-15T13:47:35.253260Z"
},
{
"role": "tool",
"content": "Glob result\nlib/widgets/navbar.dart\nlib/pages/settings.dart\nlib/main.dart\nlib/providers/settings.dart\nlib/utils/agrigator.dart\nlib/pages/home.dart\nlib/utils/openai.dart\nFound 7 files in 60ms",
"timestamp": "2026-04-15T13:47:35.314444Z"
},
{
"role": "tool",
"content": "Glob call\n{\n \"pattern\": \"test/**/*\",\n \"path\": \"/Users/imbenji/StudioProjects/capstone_project\"\n}",
"timestamp": "2026-04-15T13:47:35.314529Z"
},
{
"role": "tool",
"content": "Glob result\ntest/widget_test.dart\nFound 1 file in 47ms",
"timestamp": "2026-04-15T13:47:35.362807Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/main.dart\",\n \"offset\": 0,\n \"limit\": 250\n}",
"timestamp": "2026-04-15T13:47:40.229085Z"
},
{
"role": "tool",
"content": "Read result\n1\timport 'package:capstone_project/pages/home.dart';\n2\timport 'package:capstone_project/pages/settings.dart';\n3\timport 'package:capstone_project/providers/settings.dart';\n4\timport 'package:go_router/go_router.dart';\n5\timport 'package:provider/provider.dart';\n6\timport 'package:shadcn_flutter/shadcn_flutter.dart';\n7\t\n8\tSettingsProvider _settingsProvider = SettingsProvider();\n9\t\n10\tFuture main() async {\n11\t WidgetsFlutterBinding.ensureInitialized();\n12\t\n13\t await _settingsProvider.load();\n14\t\n15\t runApp(const MyApp());\n16\t}\n17\t\n18\tclass MyApp extends StatelessWidget {\n19\t const MyApp({super.key});\n20\t\n21\t // This widget is the root of your application.\n22\t @override\n23\t Widget build(BuildContext context) {\n24\t return MultiProvider(\n25\t providers: [\n26\t ChangeNotifierProvider.value(value: _settingsProvider),\n27\t ],\n28\t child: ShadcnApp.router(\n29\t theme: ThemeData(\n30\t colorScheme: ColorSchemes.darkSlate\n31\t ),\n32\t routerConfig: _routerConfig,\n33\t ),\n34\t );\n35\t }\n36\t}\n37\t\n38\tGoRouter _routerConfig = GoRouter(\n39\t routes: [\n40\t HomePage.route,\n41\t SettingsPage.route,\n42\t ]\n43\t);\n44\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:47:40.231231Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/home.dart\",\n \"offset\": 0,\n \"limit\": 300\n}",
"timestamp": "2026-04-15T13:47:40.231289Z"
},
{
"role": "tool",
"content": "Read result\n1\t\n2\timport 'dart:convert';\n3\timport 'dart:io';\n4\t\n5\timport 'package:capstone_project/providers/settings.dart';\n6\timport 'package:capstone_project/utils/agrigator.dart';\n7\timport 'package:capstone_project/widgets/navbar.dart';\n8\timport 'package:go_router/go_router.dart';\n9\timport 'package:shadcn_flutter/shadcn_flutter.dart';\n10\t\n11\tclass HomePage extends StatelessWidget {\n12\t\n13\t static GoRoute route = GoRoute(\n14\t path: \"/\",\n15\t builder: (context, state) => HomePage()\n16\t );\n17\t\n18\t @override\n19\t Widget build(BuildContext context) {\n20\t // TODO: implement build\n21\t return Scaffold(\n22\t headers: [\n23\t AppBar()\n24\t ],\n25\t footers: [\n26\t ProjNavBar(\n27\t currentPage: \"home\",\n28\t )\n29\t ],\n30\t child: Center(\n31\t child: Column(\n32\t mainAxisSize: MainAxisSize.min,\n33\t children: [\n34\t\n35\t Text(\n36\t \"Nothing here is final yet!\",\n37\t ).h1,\n38\t\n39\t Gap(16),\n40\t\n41\t Button.primary(\n42\t onPressed: () async {\n43\t print(\"Aggregating feeds...\");\n44\t SettingsProvider settings = SettingsProvider.of(context);\n45\t\n46\t // Fetch all feeds\n47\t List feedUris = settings.feeds.map((feed) => Uri.parse(feed.url)).toList();\n48\t List aggregatedItems = await fetchFeeds(feedUris);\n49\t\n50\t // Save it to a file before generating embeddings\n51\t String agregatedJson = JsonEncoder.withIndent(' ').convert(aggregatedItems);\n52\t File agregatedJsonFile = File(\"${settings.applicationStorageLocation}/aggregated_feed.json\");\n53\t await agregatedJsonFile.writeAsString(agregatedJson);\n54\t print(\"Aggregated feed saved to ${agregatedJsonFile.path}\");\n55\t\n56\t // Generate embeddings for all items\n57\t print(\"Generating embeddings for ${aggregatedItems.length} items...\");\n58\t List enrichedItems = [...aggregatedItems];\n59\t await generateEmbeddings(enrichedItems, settings.openAIApiKey);\n60\t\n61\t // Save it to a file in the application storage location\n62\t String enrichedJson = JsonEncoder.withIndent(' ').convert(enrichedItems);\n63\t final file = File(\"${settings.applicationStorageLocation}/enriched_aggregated_feed.json\");\n64\t await file.writeAsString(enrichedJson);\n65\t print(\"Enriched aggregated feed saved to ${file.path}\");\n66\t\n67\t // Filter out irrelevant items\n68\t print(\"Filtering relevant items...\");\n69\t await generateKeywordEmbeddings(settings.openAIApiKey);\n70\t List relevantItems = [...aggregatedItems]..removeWhere((item) => !isFeedItemRelevant(item));\n71\t String relevantJson = JsonEncoder.withIndent(' ').convert(relevantItems);\n72\t final fileRelevant = File(\"${settings.applicationStorageLocation}/relevant_aggregated_feed.json\");\n73\t await fileRelevant.writeAsString(relevantJson);\n74\t print(\"Cut down from ${aggregatedItems.length} to ${relevantItems.length} relevant items.\");\n75\t print(\"Relevant aggregated feed saved to ${fileRelevant.path}\");\n76\t\n77\t // For human readability, save a version without embeddings\n78\t List readableItems = relevantItems.map((item) {\n79\t return FeedItem(\n80\t title: item.title,\n81\t link: item.link,\n82\t description: item.description,\n83\t );\n84\t }).toList();\n85\t\n86\t String readableJson = JsonEncoder.withIndent(' ').convert(readableItems);\n87\t final fileReadable = File(\"${settings.applicationStorageLocation}/readable_relevant_aggregated_feed.json\");\n88\t await fileReadable.writeAsString(readableJson);\n89\t print(\"Readable relevant aggregated feed saved to ${fileReadable.path}\");\n90\t\n91\t // Group by event\n92\t print(\"Grouping feed items by event...\");\n93\t List> groupedItems = groupFeedItemsByEvent(relevantItems);\n94\t List>> groupedItemsJson = groupedItems.map((group) {\n95\t return group.map((item) => item.toJson()).toList();\n96\t }).toList();\n97\t String groupedJson = JsonEncoder.withIndent(' ').convert(groupedItemsJson);\n98\t final fileGrouped = File(\"${settings.applicationStorageLocation}/grouped_relevant_aggregated_feed.json\");\n99\t await fileGrouped.writeAsString(groupedJson);\n100\t print(\"Grouped relevant aggregated feed saved to ${fileGrouped.path}\");\n101\t\n102\t // For human readability, save a version without embeddings\n103\t List> readableGroupedItems = groupedItems.map((group) {\n104\t return group.map((item) {\n105\t return FeedItem(\n106\t title: item.title,\n107\t link: item.link,\n108\t description: item.description,\n109\t );\n110\t }).toList();\n111\t }).toList();\n112\t // Sort groups by size descending\n113\t readableGroupedItems.sort((a, b) => b.length.compareTo(a.length));\n114\t List>> readableGroupedItemsJson = readableGroupedItems.map((group) {\n115\t return group.map((item) => item.toJson()).toList();\n116\t }).toList();\n117\t String readableGroupedJson = JsonEncoder.withIndent(' ').convert(readableGroupedItemsJson);\n118\t final fileReadableGrouped = File(\"${settings.applicationStorageLocation}/readable_grouped_relevant_aggregated_feed.json\");\n119\t await fileReadableGrouped.writeAsString(readableGroupedJson);\n120\t print(\"Readable grouped relevant aggregated feed saved to ${fileReadableGrouped.path}\");\n121\t\n122\t },\n123\t child: Text(\n124\t \"Aggregate your feeds\"\n125\t ),\n126\t )\n127\t\n128\t\n129\t\n130\t ],\n131\t ),\n132\t ),\n133\t );\n134\t }\n135\t\n136\t}\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:47:40.232365Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/settings.dart\",\n \"offset\": 0,\n \"limit\": 320\n}",
"timestamp": "2026-04-15T13:47:40.232393Z"
},
{
"role": "tool",
"content": "Read result\n1\t\n2\timport 'package:capstone_project/providers/settings.dart';\n3\timport 'package:capstone_project/widgets/navbar.dart';\n4\timport 'package:file_picker/file_picker.dart';\n5\timport 'package:go_router/go_router.dart';\n6\timport 'package:path_provider/path_provider.dart';\n7\timport 'package:shadcn_flutter/shadcn_flutter.dart';\n8\t\n9\tclass SettingsPage extends StatefulWidget {\n10\t\n11\t static GoRoute route = GoRoute(\n12\t path: \"/settings\",\n13\t builder: (context, state) => SettingsPage()\n14\t );\n15\t\n16\t @override\n17\t State createState() => _SettingsPageState();\n18\t}\n19\t\n20\tclass _SettingsPageState extends State {\n21\t\n22\t bool _isLoading = true;\n23\t\n24\t String apiKey = \"\";\n25\t List feeds = [];\n26\t String appStorageLocation = \"\";\n27\t\n28\t @override\n29\t void initState() {\n30\t // TODO: implement initState\n31\t super.initState();\n32\t\n33\t loadPage();\n34\t }\n35\t\n36\t void loadPage() async {\n37\t SettingsProvider settings = SettingsProvider.of(context);\n38\t\n39\t setState(() {\n40\t _isLoading = true;\n41\t });\n42\t\n43\t apiKey = settings.openAIApiKey;\n44\t feeds = settings.feeds;\n45\t appStorageLocation = settings.applicationStorageLocation;\n46\t\n47\t setState(() {\n48\t _isLoading = false;\n49\t });\n50\t }\n51\t\n52\t @override\n53\t Widget build(BuildContext context) {\n54\t\n55\t if (_isLoading) {\n56\t return Scaffold(\n57\t child: Center(\n58\t child: CircularProgressIndicator(),\n59\t ),\n60\t );\n61\t }\n62\t\n63\t return Scaffold(\n64\t headers: [\n65\t AppBar(\n66\t title: Text(\"Settings\"),\n67\t )\n68\t ],\n69\t footers: [\n70\t ProjNavBar(\n71\t currentPage: \"settings\",\n72\t )\n73\t ],\n74\t child: Center(\n75\t child: SizedBox(\n76\t width: 600,\n77\t child: SingleChildScrollView(\n78\t child: Column(\n79\t crossAxisAlignment: CrossAxisAlignment.start,\n80\t children: [\n81\t \n82\t Text(\n83\t \"Open AI\"\n84\t ).h4,\n85\t \n86\t Gap(12),\n87\t \n88\t Text(\n89\t \"API Key\"\n90\t ).small.normal,\n91\t \n92\t Gap(8),\n93\t \n94\t TextField(\n95\t placeholder: Text(\n96\t \"Enter your OpenAI API key\"\n97\t ),\n98\t initialValue: apiKey.substring(0, 8) + \"xxxxxx (Redacted for security)\" ,\n99\t onChanged: (value) {\n100\t SettingsProvider settings = SettingsProvider.of(context);\n101\t \n102\t settings.setOpenAIApiKey(value);\n103\t },\n104\t ),\n105\t \n106\t Gap(8),\n107\t \n108\t if (apiKey.isEmpty)\n109\t DestructiveBadge(\n110\t child: Text(\n111\t \"API key is required to use AI features.\"\n112\t ),\n113\t ),\n114\t \n115\t Gap(16),\n116\t \n117\t Divider(),\n118\t \n119\t Gap(16),\n120\t \n121\t Row(\n122\t children: [\n123\t Expanded(\n124\t child: Column(\n125\t crossAxisAlignment: CrossAxisAlignment.start,\n126\t children: [\n127\t Text(\n128\t \"News Feeds\"\n129\t ).h4,\n130\t \n131\t Gap(4),\n132\t \n133\t Text(\n134\t \"Manage your RSS news feeds.\"\n135\t ).muted.small,\n136\t ],\n137\t ),\n138\t ),\n139\t \n140\t Button.outline(\n141\t child: Text(\n142\t \"Add Feed\"\n143\t ),\n144\t onPressed: () {\n145\t showDialog(\n146\t context: context,\n147\t barrierDismissible: false,\n148\t builder: (context) => AddFeedDialog()\n149\t ).then((value) {\n150\t loadPage();\n151\t });\n152\t },\n153\t )\n154\t ],\n155\t ),\n156\t \n157\t Gap(24),\n158\t \n159\t for (Feed feed in feeds) ...[\n160\t \n161\t Row(\n162\t children: [\n163\t Expanded(\n164\t child: Text(\n165\t feed.title.isNotEmpty ? feed.title : feed.url,\n166\t style: TextStyle(\n167\t decoration: feed.enabled ? TextDecoration.none : TextDecoration.lineThrough\n168\t ),\n169\t ),\n170\t ),\n171\t \n172\t Builder(\n173\t builder: (context2) {\n174\t return GhostButton(\n175\t density: ButtonDensity.dense,\n176\t child: Icon(\n177\t LucideIcons.ellipsis,\n178\t \n179\t ),\n180\t onPressed: () {\n181\t \n182\t \n183\t \n184\t showDropdown(\n185\t context: context2,\n186\t builder: (_) {\n187\t return DropdownMenu(\n188\t children: [\n189\t MenuButton(\n190\t child: Text(\n191\t \"Edit\"\n192\t ),\n193\t trailing: Icon(\n194\t LucideIcons.filePen\n195\t ),\n196\t onPressed: (_) {\n197\t // Navigator.of(context).pop();\n198\t \n199\t showDialog(\n200\t context: context,\n201\t barrierDismissible: false,\n202\t builder: (context) => AddFeedDialog(\n203\t existingFeed: feed,\n204\t )\n205\t ).then((value) {\n206\t loadPage();\n207\t });\n208\t \n209\t },\n210\t )\n211\t ],\n212\t );\n213\t }\n214\t );\n215\t },\n216\t );\n217\t }\n218\t ),\n219\t \n220\t Gap(4),\n221\t \n222\t Switch(\n223\t value: feed.enabled,\n224\t onChanged: (value) {\n225\t SettingsProvider settings = SettingsProvider.of(context);\n226\t \n227\t settings.updateFeed(\n228\t feed.id,\n229\t enabled: value\n230\t );\n231\t \n232\t loadPage();\n233\t },\n234\t ),\n235\t ],\n236\t ),\n237\t \n238\t SelectableText(\n239\t feed.url,\n240\t style: TextStyle(\n241\t decoration: feed.enabled ? TextDecoration.none : TextDecoration.lineThrough\n242\t ),\n243\t ).muted.small,\n244\t \n245\t Gap(12),\n246\t ],\n247\t \n248\t Gap(12),\n249\t \n250\t Divider(),\n251\t \n252\t Gap(16),\n253\t \n254\t Text(\n255\t \"Application Data\"\n256\t ).h4,\n257\t \n258\t Gap(12),\n259\t \n260\t Text(\n261\t \"Application Storage Location\"\n262\t ).small.normal,\n263\t \n264\t Gap(8),\n265\t \n266\t Row(\n267\t children: [\n268\t Expanded(\n269\t child: TextField(\n270\t placeholder: Text(\n271\t \"Select a diretory using Browse\"\n272\t ),\n273\t initialValue: appStorageLocation,\n274\t enabled: false,\n275\t ),\n276\t ),\n277\t \n278\t Gap(8),\n279\t \n280\t Button.outline(\n281\t child: Text(\n282\t \"Browse\"\n283\t ),\n284\t onPressed: () {\n285\t \n286\t FilePicker.platform.getDirectoryPath().then((selectedPath) {\n287\t if (selectedPath != null) {\n288\t SettingsProvider settings = SettingsProvider.of(context);\n289\t \n290\t settings.setApplicationStorageLocation(selectedPath);\n291\t \n292\t loadPage();\n293\t \n294\t }\n295\t });\n296\t \n297\t },\n298\t ),\n299\t \n300\t Gap(8),\n301\t \n302\t IconButton.destructive(\n303\t icon: Icon(\n304\t LucideIcons.refreshCcw\n305\t ),\n306\t onPressed: () async {\n307\t SettingsProvider settings = SettingsProvider.of(context);\n308\t \n309\t settings.setApplicationStorageLocation((await getApplicationDocumentsDirectory()).path);\n310\t \n311\t loadPage();\n312\t },\n313\t )\n314\t ],\n315\t ),\n316\t \n317\t ],\n318\t ).withPadding(\n319\t all: 10\n320\t ),\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:47:40.233514Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart\",\n \"offset\": 0,\n \"limit\": 320\n}",
"timestamp": "2026-04-15T13:47:40.233551Z"
},
{
"role": "tool",
"content": "Read result\n1\t\n2\timport 'dart:convert';\n3\timport 'package:flutter/material.dart';\n4\timport 'package:provider/provider.dart';\n5\timport 'package:shared_preferences/shared_preferences.dart';\n6\timport 'package:uid/uid.dart';\n7\timport 'package:path_provider/path_provider.dart';\n8\timport 'dart:io';\n9\t\n10\tclass SettingsProvider extends ChangeNotifier {\n11\t\n12\t String _OPENAI_API_KEY = \"\";\n13\t String get openAIApiKey => _OPENAI_API_KEY;\n14\t\n15\t List _feeds = [\n16\t // Major Business News\n17\t Feed(\n18\t title: \"Business Insider\",\n19\t url: \"https://feeds.businessinsider.com/custom/all\"\n20\t ),\n21\t Feed(\n22\t title: \"BBC Business\",\n23\t url: \"https://feeds.bbci.co.uk/news/business/rss.xml\"\n24\t ),\n25\t Feed(\n26\t title: \"Reuters Business\",\n27\t url: \"https://www.reutersagency.com/feed/?taxonomy=best-topics&post_type=best\"\n28\t ),\n29\t Feed(\n30\t title: \"Financial Times\",\n31\t url: \"https://www.ft.com/?format=rss\"\n32\t ),\n33\t Feed(\n34\t title: \"Bloomberg\",\n35\t url: \"https://feeds.bloomberg.com/markets/news.rss\"\n36\t ),\n37\t\n38\t // Market-Specific\n39\t Feed(\n40\t title: \"MarketWatch\",\n41\t url: \"https://feeds.marketwatch.com/marketwatch/topstories/\"\n42\t ),\n43\t Feed(\n44\t title: \"Seeking Alpha\",\n45\t url: \"https://seekingalpha.com/feed.xml\"\n46\t ),\n47\t Feed(\n48\t title: \"Yahoo Finance\",\n49\t url: \"https://finance.yahoo.com/news/rssindex\"\n50\t ),\n51\t Feed(\n52\t title: \"CNBC\",\n53\t url: \"https://www.cnbc.com/id/100003114/device/rss/rss.html\"\n54\t ),\n55\t Feed(\n56\t title: \"The Wall Street Journal\",\n57\t url: \"https://feeds.a.dj.com/rss/RSSMarketsMain.xml\"\n58\t ),\n59\t\n60\t // Tech Business\n61\t Feed(\n62\t title: \"TechCrunch\",\n63\t url: \"https://techcrunch.com/feed/\"\n64\t ),\n65\t Feed(\n66\t title: \"The Verge\",\n67\t url: \"https://www.theverge.com/rss/index.xml\"\n68\t ),\n69\t Feed(\n70\t title: \"Ars Technica\",\n71\t url: \"https://feeds.arstechnica.com/arstechnica/index\"\n72\t ),\n73\t\n74\t // Company News\n75\t Feed(\n76\t title: \"Fortune\",\n77\t url: \"https://fortune.com/feed\"\n78\t ),\n79\t Feed(\n80\t title: \"Forbes Business\",\n81\t url: \"https://www.forbes.com/business/feed/\"\n82\t ),\n83\t Feed(\n84\t title: \"Inc Magazine\",\n85\t url: \"https://www.inc.com/rss\"\n86\t ),\n87\t\n88\t // Industry-Specific\n89\t Feed(\n90\t title: \"Retail Dive\",\n91\t url: \"https://www.retaildive.com/feeds/news/\"\n92\t ),\n93\t Feed(\n94\t title: \"Manufacturing Dive\",\n95\t url: \"https://www.manufacturingdive.com/feeds/news/\"\n96\t ),\n97\t Feed(\n98\t title: \"Banking Dive\",\n99\t url: \"https://www.bankingdive.com/feeds/news/\"\n100\t ),\n101\t\n102\t // Economic News\n103\t Feed(\n104\t title: \"The Economist\",\n105\t url: \"https://www.economist.com/finance-and-economics/rss.xml\"\n106\t ),\n107\t Feed(\n108\t title: \"Federal Reserve News\",\n109\t url: \"https://www.federalreserve.gov/feeds/press_all.xml\"\n110\t ),\n111\t ]; // List of rss feed URLs\n112\t List get feeds => List.unmodifiable(_feeds);\n113\t\n114\t late String _applicationStorageLocation;\n115\t String get applicationStorageLocation => _applicationStorageLocation;\n116\t\n117\t static SettingsProvider of(BuildContext context) {\n118\t return Provider.of(context, listen: false);\n119\t }\n120\t\n121\t Future load() async {\n122\t // get documents directory dynamicly\n123\t final Directory appDocDir = await getApplicationDocumentsDirectory();\n124\t _applicationStorageLocation = appDocDir.path;\n125\t\n126\t SharedPreferences prefs = await SharedPreferences.getInstance();\n127\t\n128\t _OPENAI_API_KEY = prefs.getString('openai_api_key') ?? _OPENAI_API_KEY;\n129\t\n130\t List? feedStrings = prefs.getStringList('feeds');\n131\t if (feedStrings != null) {\n132\t _feeds = feedStrings.map((fStr) {\n133\t try {\n134\t return Feed.fromJson(jsonDecode(fStr));\n135\t } catch (e) {\n136\t // old format, parse manually\n137\t Map json = {};\n138\t fStr.substring(1, fStr.length - 1).split(', ').forEach((pair) {\n139\t List keyValue = pair.split(': ');\n140\t String key = keyValue[0];\n141\t String value = keyValue[1];\n142\t\n143\t // convert bool strings to actual bools\n144\t if (value == 'true') {\n145\t json[key] = true;\n146\t } else if (value == 'false') {\n147\t json[key] = false;\n148\t } else {\n149\t json[key] = value;\n150\t }\n151\t });\n152\t return Feed.fromJson(json);\n153\t }\n154\t }).toList();\n155\t }\n156\t\n157\t _applicationStorageLocation = prefs.getString('application_storage_location') ?? applicationStorageLocation;\n158\t\n159\t notifyListeners();\n160\t }\n161\t\n162\t Future save() async {\n163\t SharedPreferences prefs = await SharedPreferences.getInstance();\n164\t\n165\t await prefs.setString('openai_api_key', _OPENAI_API_KEY);\n166\t await prefs.setStringList('feeds', _feeds.map((f) => jsonEncode(f.toJson())).toList());\n167\t await prefs.setString('application_storage_location', _applicationStorageLocation);\n168\t }\n169\t\n170\t void setOpenAIApiKey(String key) {\n171\t _OPENAI_API_KEY = key;\n172\t save();\n173\t notifyListeners();\n174\t }\n175\t\n176\t void addFeed(Feed feed) {\n177\t _feeds.add(feed);\n178\t save();\n179\t notifyListeners();\n180\t }\n181\t\n182\t Feed updateFeed(int id, {String? title, String? url, bool? enabled}) {\n183\t for (int i = 0; i < _feeds.length; i++) {\n184\t if (_feeds[i].id == id) {\n185\t Feed updatedFeed = Feed(\n186\t url: url ?? _feeds[i].url,\n187\t title: title ?? _feeds[i].title,\n188\t enabled: enabled ?? _feeds[i].enabled,\n189\t );\n190\t _feeds[i] = updatedFeed;\n191\t save();\n192\t notifyListeners();\n193\t return updatedFeed;\n194\t }\n195\t }\n196\t throw Exception(\"Feed with id $id not found\");\n197\t }\n198\t\n199\t void removeFeed(Feed feed) {\n200\t _feeds.removeWhere((f) => f.url == feed.url);\n201\t save();\n202\t notifyListeners();\n203\t }\n204\t\n205\t void setApplicationStorageLocation(String path) {\n206\t _applicationStorageLocation = path;\n207\t save();\n208\t notifyListeners();\n209\t }\n210\t\n211\t}\n212\t\n213\tclass Feed {\n214\t\n215\t final String url;\n216\t final String title;\n217\t final bool enabled;\n218\t\n219\t Feed({required this.url, required this.title, this.enabled = true});\n220\t\n221\t Feed.fromJson(Map json)\n222\t : url = json['url'],\n223\t title = json['title'],\n224\t enabled = json['enabled'] ?? true;\n225\t\n226\t Map toJson() => {\n227\t 'url': url,\n228\t 'title': title,\n229\t 'enabled': enabled,\n230\t };\n231\t\n232\t int get id {\n233\t return url.hashCode ^ title.hashCode;\n234\t }\n235\t}\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:47:40.234427Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/utils/agrigator.dart\",\n \"offset\": 0,\n \"limit\": 400\n}",
"timestamp": "2026-04-15T13:47:40.234449Z"
},
{
"role": "tool",
"content": "Read result\n1\timport 'dart:math';\n2\t\n3\timport 'package:http/http.dart' as http;\n4\timport 'package:xml/xml.dart';\n5\timport 'openai.dart';\n6\t\n7\tconst String KEYWORDS = \"Business news corporate earnings revenue profit stock market trading equity shares NYSE NASDAQ stock prices quarterly results annual reports CEO announcements executive leadership management changes board directors company strategy mergers acquisitions takeovers buyouts partnerships joint ventures business deals IPO initial public offerings venture capital funding investment rounds valuation startup unicorn enterprise technology product launches innovation R&D research development market expansion international business global markets trade agreements tariffs import export supply chain logistics manufacturing production operations facilities factories plants workforce hiring layoffs restructuring downsizing labor unions strikes employee relations workplace compensation benefits corporate governance shareholder activism proxy fights dividends stock buybacks analyst ratings price targets market capitalization revenue growth profit margins EBITDA cash flow debt financing credit ratings bonds corporate strategy competitive advantage market share industry trends sector analysis retail consumer goods e-commerce technology software hardware semiconductors pharmaceuticals biotech healthcare energy oil gas renewables automotive electric vehicles aerospace defense banking financial services insurance real estate construction infrastructure telecommunications media entertainment streaming gaming hospitality travel transportation logistics shipping airlines regulatory compliance antitrust competition policy lawsuits litigation settlements data breaches cybersecurity intellectual property patents trademarks brand value customer acquisition market positioning business models revenue streams profitability sustainability ESG environmental social governance\";\n8\tList? KEYWORD_EMBEDDINGS;\n9\t\n10\tclass FeedItem {\n11\t final String title;\n12\t final String description;\n13\t final String link;\n14\t List? embedding;\n15\t\n16\t FeedItem({\n17\t required this.title,\n18\t required this.description,\n19\t required this.link,\n20\t this.embedding,\n21\t });\n22\t\n23\t @override\n24\t String toString() {\n25\t return \"FeedItem(title: $title, link: $link)\";\n26\t }\n27\t\n28\t FeedItem.fromJson(Map json)\n29\t : title = json[\"title\"],\n30\t description = json[\"description\"],\n31\t link = json[\"link\"],\n32\t embedding = json[\"embedding\"] != null\n33\t ? (json[\"embedding\"] as List).map((e) => (e as num).toDouble()).toList()\n34\t : null;\n35\t\n36\t Map toJson() {\n37\t return {\n38\t \"title\": title,\n39\t \"description\": description,\n40\t \"link\": link,\n41\t if (embedding != null) \"embedding\": embedding,\n42\t };\n43\t }\n44\t\n45\t}\n46\t\n47\tList parseRssFeed(String rssXml) {\n48\t final document = XmlDocument.parse(rssXml);\n49\t\n50\t // find items in the RSS structre\n51\t final items = document.findAllElements(\"item\");\n52\t\n53\t return items.map((item) {\n54\t final title = item.findElements(\"title\").firstOrNull?.innerText.trim() ?? \"Untitled\";\n55\t final link = item.findElements(\"link\").firstOrNull?.innerText ?? \"\";\n56\t final description = item.findElements(\"description\").firstOrNull?.innerText.trim() ?? \"\";\n57\t\n58\t\n59\t return FeedItem(\n60\t title: title,\n61\t link: link,\n62\t description: description,\n63\t );\n64\t }).toList();\n65\t}\n66\t\n67\tList parseAtomFeed(String atomXml) {\n68\t final document = XmlDocument.parse(atomXml);\n69\t\n70\t // find entrys in atom feed\n71\t final entries = document.findAllElements(\"entry\");\n72\t\n73\t return entries.map((entry) {\n74\t final title = entry.findElements(\"title\").firstOrNull?.innerText.trim() ?? \"Untitled\";\n75\t final linkElement = entry.findElements(\"link\").firstOrNull;\n76\t final link = linkElement?.getAttribute(\"href\") ?? \"\";\n77\t final summary = entry.findElements(\"summary\").firstOrNull?.innerText.trim();\n78\t final content = entry.findElements(\"content\").firstOrNull?.innerText.trim();\n79\t\n80\t final description = (summary ?? content ?? \"\").trim();\n81\t\n82\t return FeedItem(\n83\t title: title,\n84\t link: link,\n85\t description: description,\n86\t );\n87\t }).toList();\n88\t}\n89\t\n90\tList parseFeed(String feedXml) {\n91\t final document = XmlDocument.parse(feedXml);\n92\t\n93\t // Check if it's an Atom feed\n94\t if (document.findAllElements('feed').isNotEmpty) {\n95\t return parseAtomFeed(feedXml);\n96\t }\n97\t\n98\t // Check if it's an RSS feed\n99\t if (document.findAllElements('rss').isNotEmpty ||\n100\t document.findAllElements('channel').isNotEmpty) {\n101\t return parseRssFeed(feedXml);\n102\t }\n103\t\n104\t // Unknown feed format\n105\t throw FormatException('Unknown feed format. Expected RSS or Atom.');\n106\t}\n107\t\n108\tFuture> fetchFeed(Uri feedUri) async {\n109\t final response = await http.get(feedUri);\n110\t\n111\t\n112\t if (response.statusCode != 200) {\n113\t throw Exception(\"Failed to fetch feed: ${response.statusCode}\");\n114\t }\n115\t\n116\t // parse the XML response\n117\t return parseFeed(response.body);\n118\t}\n119\t\n120\tFuture> fetchFeeds(List feedUris) async {\n121\t List allItems = [];\n122\t\n123\t final results = await Future.wait(\n124\t feedUris.map((uri) => fetchFeed(uri).catchError((e) {\n125\t print(\"Error fetching feed $uri: $e\");\n126\t return [];\n127\t }))\n128\t );\n129\t\n130\t for (final items in results) {\n131\t allItems.addAll(items);\n132\t }\n133\t\n134\t return allItems;\n135\t}\n136\t\n137\t\n138\t// generete embeddng for a feed item\n139\tFuture generateEmbedding(FeedItem item, String apiKey) async {\n140\t final openai = OpenAI(apiKey: apiKey);\n141\t\n142\t // combine tittle and descriptin\n143\t final textToEmbed = \"${item.title} ${item.description}\";\n144\t\n145\t try {\n146\t final response = await openai.embeddings.create(\n147\t model: \"text-embedding-3-small\",\n148\t input: textToEmbed,\n149\t );\n150\t\n151\t if (response.data.isNotEmpty) {\n152\t item.embedding = response.data.first.embedding;\n153\t }\n154\t } catch (e) {\n155\t print(\"Error generatng embedding: $e\");\n156\t } finally {\n157\t openai.dispose();\n158\t }\n159\t}\n160\t\n161\t// generate embedings for multiple feed items\n162\tFuture generateEmbeddings(List items, String apiKey) async {\n163\t await Future.wait(\n164\t items.map((item) => generateEmbedding(item, apiKey))\n165\t );\n166\t}\n167\t\n168\tFuture generateKeywordEmbeddings(String apiKey) async {\n169\t\n170\t if (KEYWORD_EMBEDDINGS != null) {\n171\t return; // already generated\n172\t }\n173\t\n174\t final openai = OpenAI(apiKey: apiKey);\n175\t\n176\t try {\n177\t final response = await openai.embeddings.create(\n178\t model: \"text-embedding-3-small\",\n179\t input: KEYWORDS,\n180\t );\n181\t\n182\t if (response.data.isNotEmpty) {\n183\t KEYWORD_EMBEDDINGS = response.data.first.embedding;\n184\t }\n185\t } catch (e) {\n186\t print(\"Error generating keyword embeddings: $e\");\n187\t } finally {\n188\t openai.dispose();\n189\t }\n190\t}\n191\t\n192\tbool isFeedItemRelevant(FeedItem item, [double threshold = 0.25]) {\n193\t if (item.embedding == null || KEYWORD_EMBEDDINGS == null) {\n194\t throw Exception(\"Embeddings not available for comparison.\");\n195\t }\n196\t\n197\t double similarity = cosineSimilarity(item.embedding!, KEYWORD_EMBEDDINGS!);\n198\t\n199\t return similarity >= threshold;\n200\t}\n201\t\n202\tdouble cosineSimilarity(List vecA, List vecB) {\n203\t if (vecA.length != vecB.length) {\n204\t throw ArgumentError(\"Vectors must be of the same length\");\n205\t }\n206\t\n207\t double dotProduct = 0.0;\n208\t double magnitudeA = 0.0;\n209\t double magnitudeB = 0.0;\n210\t\n211\t for (int i = 0; i < vecA.length; i++) {\n212\t dotProduct += vecA[i] * vecB[i];\n213\t magnitudeA += vecA[i] * vecA[i];\n214\t magnitudeB += vecB[i] * vecB[i];\n215\t }\n216\t\n217\t if (magnitudeA == 0 || magnitudeB == 0) {\n218\t return 0.0;\n219\t }\n220\t\n221\t return dotProduct / (sqrt(magnitudeA) * sqrt(magnitudeB));\n222\t}\n223\t\n224\tList> groupFeedItemsByEvent(List items, [double similarityThreshold = 0.7]) {\n225\t // Track which group each item belongs to and with what similarity\n226\t Map itemGrouping = {};\n227\t List> groupedItems = [];\n228\t\n229\t for (int i = 0; i < items.length; i++) {\n230\t // Create a new group with item i as the anchor\n231\t List currentGroup = [items[i]];\n232\t int currentGroupIndex = groupedItems.length;\n233\t\n234\t // item i belongs to its own group with similarity 1.0\n235\t itemGrouping[i] = (groupIndex: currentGroupIndex, similarity: 1.0);\n236\t\n237\t // Check all later items\n238\t for (int j = i + 1; j < items.length; j++) {\n239\t double similarity = cosineSimilarity(\n240\t items[i].embedding!,\n241\t items[j].embedding!,\n242\t );\n243\t\n244\t if (similarity >= similarityThreshold) {\n245\t // Check if j should join this group\n246\t if (!itemGrouping.containsKey(j)) {\n247\t // j hasn't been grouped yet, add it\n248\t currentGroup.add(items[j]);\n249\t itemGrouping[j] = (groupIndex: currentGroupIndex, similarity: similarity);\n250\t } else if (similarity > itemGrouping[j]!.similarity) {\n251\t // j is in another group but this is a better match\n252\t // Remove from old group\n253\t int oldGroupIndex = itemGrouping[j]!.groupIndex;\n254\t groupedItems[oldGroupIndex].remove(items[j]);\n255\t\n256\t // Add to this group\n257\t currentGroup.add(items[j]);\n258\t itemGrouping[j] = (groupIndex: currentGroupIndex, similarity: similarity);\n259\t }\n260\t }\n261\t }\n262\t\n263\t groupedItems.add(currentGroup);\n264\t }\n265\t\n266\t // Filter out empty groups (items may have been moved out)\n267\t return groupedItems.where((group) => group.isNotEmpty).toList();\n268\t}\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:47:40.235351Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/utils/openai.dart\",\n \"offset\": 0,\n \"limit\": 300\n}",
"timestamp": "2026-04-15T13:47:40.235379Z"
},
{
"role": "tool",
"content": "Read result\n1\timport 'dart:async';\n2\timport 'dart:convert';\n3\timport 'package:http/http.dart' as http;\n4\t\n5\t/// OpenAI API client for Dart\n6\tclass OpenAI {\n7\t final String apiKey;\n8\t final String baseUrl;\n9\t final http.Client _client;\n10\t\n11\t OpenAI({\n12\t required this.apiKey,\n13\t this.baseUrl = 'https://api.openai.com/v1',\n14\t http.Client? client,\n15\t }) : _client = client ?? http.Client();\n16\t\n17\t /// Access to chat completions API\n18\t ChatCompletions get chat => ChatCompletions(this);\n19\t\n20\t /// Access to embeddings API\n21\t Embeddings get embeddings => Embeddings(this);\n22\t\n23\t void dispose() {\n24\t _client.close();\n25\t }\n26\t}\n27\t\n28\t/// Chat completions API\n29\tclass ChatCompletions {\n30\t final OpenAI _openai;\n31\t\n32\t ChatCompletions(this._openai);\n33\t\n34\t /// Access to completions endpoint\n35\t Completions get completions => Completions(_openai);\n36\t}\n37\t\n38\t/// Completions endpoint\n39\tclass Completions {\n40\t final OpenAI _openai;\n41\t\n42\t Completions(this._openai);\n43\t\n44\t /// Create a chat completion\n45\t ///\n46\t /// If [stream] is true, returns a Stream of ChatCompletionChunk\n47\t /// If [stream] is false, returns a single ChatCompletion\n48\t Future create({\n49\t required String model,\n50\t required List messages,\n51\t bool stream = false,\n52\t StreamOptions? streamOptions,\n53\t double? temperature,\n54\t double? topP,\n55\t int? n,\n56\t List? stop,\n57\t int? maxTokens,\n58\t double? presencePenalty,\n59\t double? frequencyPenalty,\n60\t Map? logitBias,\n61\t String? user,\n62\t }) async {\n63\t final body = {\n64\t 'model': model,\n65\t 'messages': messages,\n66\t 'stream': stream,\n67\t if (streamOptions != null) 'stream_options': streamOptions.toJson(),\n68\t if (temperature != null) 'temperature': temperature,\n69\t if (topP != null) 'top_p': topP,\n70\t if (n != null) 'n': n,\n71\t if (stop != null) 'stop': stop,\n72\t if (maxTokens != null) 'max_tokens': maxTokens,\n73\t if (presencePenalty != null) 'presence_penalty': presencePenalty,\n74\t if (frequencyPenalty != null) 'frequency_penalty': frequencyPenalty,\n75\t if (logitBias != null) 'logit_bias': logitBias,\n76\t if (user != null) 'user': user,\n77\t };\n78\t\n79\t if (stream) {\n80\t return _streamCompletion(body);\n81\t } else {\n82\t return _createCompletion(body);\n83\t }\n84\t }\n85\t\n86\t Future _createCompletion(Map body) async {\n87\t final response = await _openai._client.post(\n88\t Uri.parse('${_openai.baseUrl}/chat/completions'),\n89\t headers: {\n90\t 'Content-Type': 'application/json',\n91\t 'Authorization': 'Bearer ${_openai.apiKey}',\n92\t },\n93\t body: jsonEncode(body),\n94\t );\n95\t\n96\t if (response.statusCode != 200) {\n97\t throw OpenAIException(\n98\t statusCode: response.statusCode,\n99\t message: response.body,\n100\t );\n101\t }\n102\t\n103\t return ChatCompletion.fromJson(jsonDecode(response.body));\n104\t }\n105\t\n106\t Stream _streamCompletion(\n107\t Map body) async* {\n108\t final request = http.Request(\n109\t 'POST',\n110\t Uri.parse('${_openai.baseUrl}/chat/completions'),\n111\t );\n112\t\n113\t request.headers.addAll({\n114\t 'Content-Type': 'application/json',\n115\t 'Authorization': 'Bearer ${_openai.apiKey}',\n116\t });\n117\t\n118\t request.body = jsonEncode(body);\n119\t\n120\t final streamedResponse = await _openai._client.send(request);\n121\t\n122\t if (streamedResponse.statusCode != 200) {\n123\t final body = await streamedResponse.stream.bytesToString();\n124\t throw OpenAIException(\n125\t statusCode: streamedResponse.statusCode,\n126\t message: body,\n127\t );\n128\t }\n129\t\n130\t final stream = streamedResponse.stream\n131\t .transform(utf8.decoder)\n132\t .transform(const LineSplitter());\n133\t\n134\t await for (final line in stream) {\n135\t if (line.isEmpty) continue;\n136\t if (line.startsWith(':')) continue; // Skip comments\n137\t if (!line.startsWith('data: ')) continue;\n138\t\n139\t final data = line.substring(6); // Remove 'data: ' prefix\n140\t\n141\t if (data == '[DONE]') {\n142\t break;\n143\t }\n144\t\n145\t try {\n146\t final json = jsonDecode(data);\n147\t yield ChatCompletionChunk.fromJson(json);\n148\t } catch (e) {\n149\t // Skip malformed chunks\n150\t continue;\n151\t }\n152\t }\n153\t }\n154\t}\n155\t\n156\t/// Chat message\n157\tclass ChatMessage {\n158\t final String role;\n159\t final String content;\n160\t\n161\t ChatMessage({\n162\t required this.role,\n163\t required this.content,\n164\t });\n165\t\n166\t Map toJson() => {\n167\t 'role': role,\n168\t 'content': content,\n169\t };\n170\t\n171\t factory ChatMessage.fromJson(Map json) => ChatMessage(\n172\t role: json['role'],\n173\t content: json['content'],\n174\t );\n175\t\n176\t factory ChatMessage.system(String content) =>\n177\t ChatMessage(role: 'system', content: content);\n178\t\n179\t factory ChatMessage.user(String content) =>\n180\t ChatMessage(role: 'user', content: content);\n181\t\n182\t factory ChatMessage.assistant(String content) =>\n183\t ChatMessage(role: 'assistant', content: content);\n184\t}\n185\t\n186\t/// Stream options\n187\tclass StreamOptions {\n188\t final bool includeUsage;\n189\t\n190\t StreamOptions({this.includeUsage = false});\n191\t\n192\t Map toJson() => {\n193\t 'include_usage': includeUsage,\n194\t };\n195\t}\n196\t\n197\t/// Chat completion response (non-streaming)\n198\tclass ChatCompletion {\n199\t final String id;\n200\t final String object;\n201\t final int created;\n202\t final String model;\n203\t final List choices;\n204\t final Usage? usage;\n205\t\n206\t ChatCompletion({\n207\t required this.id,\n208\t required this.object,\n209\t required this.created,\n210\t required this.model,\n211\t required this.choices,\n212\t this.usage,\n213\t });\n214\t\n215\t factory ChatCompletion.fromJson(Map json) => ChatCompletion(\n216\t id: json['id'],\n217\t object: json['object'],\n218\t created: json['created'],\n219\t model: json['model'],\n220\t choices: (json['choices'] as List)\n221\t .map((c) => Choice.fromJson(c))\n222\t .toList(),\n223\t usage: json['usage'] != null ? Usage.fromJson(json['usage']) : null,\n224\t );\n225\t}\n226\t\n227\t/// Chat completion chunk (streaming)\n228\tclass ChatCompletionChunk {\n229\t final String id;\n230\t final String object;\n231\t final int created;\n232\t final String model;\n233\t final List choices;\n234\t final Usage? usage;\n235\t\n236\t ChatCompletionChunk({\n237\t required this.id,\n238\t required this.object,\n239\t required this.created,\n240\t required this.model,\n241\t required this.choices,\n242\t this.usage,\n243\t });\n244\t\n245\t factory ChatCompletionChunk.fromJson(Map json) =>\n246\t ChatCompletionChunk(\n247\t id: json['id'],\n248\t object: json['object'],\n249\t created: json['created'],\n250\t model: json['model'],\n251\t choices: (json['choices'] as List)\n252\t .map((c) => ChunkChoice.fromJson(c))\n253\t .toList(),\n254\t usage: json['usage'] != null ? Usage.fromJson(json['usage']) : null,\n255\t );\n256\t}\n257\t\n258\t/// Choice in non-streaming response\n259\tclass Choice {\n260\t final int index;\n261\t final ChatMessage message;\n262\t final String? finishReason;\n263\t\n264\t Choice({\n265\t required this.index,\n266\t required this.message,\n267\t this.finishReason,\n268\t });\n269\t\n270\t factory Choice.fromJson(Map json) => Choice(\n271\t index: json['index'],\n272\t message: ChatMessage.fromJson(json['message']),\n273\t finishReason: json['finish_reason'],\n274\t );\n275\t}\n276\t\n277\t/// Choice in streaming response\n278\tclass ChunkChoice {\n279\t final int index;\n280\t final Delta? delta;\n281\t final String? finishReason;\n282\t\n283\t ChunkChoice({\n284\t required this.index,\n285\t this.delta,\n286\t this.finishReason,\n287\t });\n288\t\n289\t factory ChunkChoice.fromJson(Map json) => ChunkChoice(\n290\t index: json['index'],\n291\t delta: json['delta'] != null ? Delta.fromJson(json['delta']) : null,\n292\t finishReason: json['finish_reason'],\n293\t );\n294\t}\n295\t\n296\t/// Delta content in streaming chunks\n297\tclass Delta {\n298\t final String? role;\n299\t final String? content;\n300\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:47:40.236359Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/test/widget_test.dart\",\n \"offset\": 0,\n \"limit\": 220\n}",
"timestamp": "2026-04-15T13:47:40.236382Z"
},
{
"role": "tool",
"content": "Read result\n1\t// This is a basic Flutter widget test.\n2\t//\n3\t// To perform an interaction with a widget in your test, use the WidgetTester\n4\t// utility in the flutter_test package. For example, you can send tap and scroll\n5\t// gestures. You can also use WidgetTester to find child widgets in the widget\n6\t// tree, read text, and verify that the values of widget properties are correct.\n7\t\n8\timport 'package:flutter/material.dart';\n9\timport 'package:flutter_test/flutter_test.dart';\n10\t\n11\timport 'package:capstone_project/main.dart';\n12\t\n13\tvoid main() {\n14\t testWidgets('Counter increments smoke test', (WidgetTester tester) async {\n15\t // Build our app and trigger a frame.\n16\t await tester.pumpWidget(const MyApp());\n17\t\n18\t // Verify that our counter starts at 0.\n19\t expect(find.text('0'), findsOneWidget);\n20\t expect(find.text('1'), findsNothing);\n21\t\n22\t // Tap the '+' icon and trigger a frame.\n23\t await tester.tap(find.byIcon(Icons.add));\n24\t await tester.pump();\n25\t\n26\t // Verify that our counter has incremented.\n27\t expect(find.text('0'), findsNothing);\n28\t expect(find.text('1'), findsOneWidget);\n29\t });\n30\t}\n31\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:47:40.237047Z"
},
{
"role": "assistant",
"content": "It’s a Flutter desktop app called **Augor** that pulls business/news RSS feeds, sends article text to OpenAI embeddings, filters for finance relevance, clusters similar stories into events, and writes JSON outputs locally.\n\nKey pieces:\n- App entry/router: `lib/main.dart:10`\n- Main pipeline lives directly in UI button handler: `lib/pages/home.dart:42`\n- Settings/state persistence: `lib/providers/settings.dart:10`\n- Feed parsing + embeddings + clustering: `lib/utils/agrigator.dart:47`\n- Custom OpenAI client: `lib/utils/openai.dart:6`\n\nWhat it currently does:\n- Loads ~20 default feeds from `lib/providers/settings.dart:15`\n- Lets you manage API key, feeds, and output directory in `lib/pages/settings.dart:63`\n- On “Aggregate your feeds”, it:\n 1. fetches feeds\n 2. saves `aggregated_feed.json`\n 3. generates embeddings\n 4. filters relevant items\n 5. groups by cosine similarity\n 6. saves multiple JSON artifacts \n all from `lib/pages/home.dart:42`\n\nNotable issues:\n- `SettingsProvider.updateFeed()` recreates a feed without preserving its original identity; since `id` is derived from `url ^ title`, editing title/url can break later updates: `lib/providers/settings.dart:182`, `lib/providers/settings.dart:232`\n- Home page uses **all** feeds, ignoring `enabled`: `lib/pages/home.dart:47`\n- Relevant-item filtering is done from `aggregatedItems` after embeddings were generated into `enrichedItems`, so relevance can fail because those items may not carry embeddings: `lib/pages/home.dart:58`, `lib/pages/home.dart:70`\n- The widget test is still the default Flutter counter test and does not match this app: `test/widget_test.dart:14`\n- `pubspec.yaml:2` still has placeholder description text\n\nOverall: the project is a working prototype with the core idea implemented, but the orchestration is concentrated in the UI and there are a few logic bugs and unfinished bits around settings, filtering, and testing.",
"timestamp": "2026-04-15T13:47:44.189841Z",
"contextTokens": 18747,
"cost": 0.0354755
},
{
"role": "user",
"content": "Augor is supposed to be an app that pulls/scrapes web news articles on business and finance and predicts if the stock will go up or down based on market sentiment using an llm. Make sense?",
"timestamp": "2026-04-15T13:49:18.335557Z"
},
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"content": "Yes, that makes sense as a product idea.\n\nBut it does **not** fully match what the current codebase does.\n\nRight now the app is closer to:\n- aggregating business/finance news feeds\n- embedding and clustering related articles\n- filtering for relevance\n- exporting grouped results\n\nIt is **not yet** doing:\n- article scraping beyond feed content\n- ticker/entity extraction tied to specific stocks\n- sentiment scoring per company\n- price-direction prediction\n- LLM-generated up/down forecasts\n\nSo the intended vision is coherent, but the current implementation is more like a **news intelligence pipeline**, not yet a **stock movement prediction app**.\n\nIf that is the real goal, the missing core pipeline is roughly:\n1. collect article content\n2. identify company/ticker mentioned\n3. score sentiment/impact for that company\n4. aggregate signals over time\n5. ask/model whether signal implies bullish or bearish movement\n6. show prediction with confidence and evidence\n\nOne important caveat: saying “predict if the stock will go up or down” is much stronger than “estimate sentiment.” Sentiment can be one input, but stock movement prediction is noisy and should be framed as a probabilistic signal, not a reliable forecast.\n\nSo: **the idea makes sense, but the codebase currently implements only the ingestion/clustering part of that vision.**",
"timestamp": "2026-04-15T13:49:22.109665Z",
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"content": "By predict, we would out put whether the market shows indication of growth, and a probability of that growth.",
"timestamp": "2026-04-15T13:50:04.829402Z"
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"content": "Yes. That framing makes much more sense.\n\nThat turns it into:\n- ingest business/finance news\n- estimate market/company sentiment\n- output an **indication of likely growth**\n- include a **probability/confidence score**\n\nThat is a lot more defensible than claiming deterministic stock prediction.\n\nA cleaner product statement would be:\n\n> Augor aggregates business and financial news, analyzes sentiment and event signals with LLMs, and outputs a probabilistic indication of potential market or stock growth.\n\nWhat that implies technically:\n- **Input:** RSS feeds, scraped article text, maybe company/ticker metadata\n- **Processing:** relevance filtering, entity/ticker extraction, sentiment/event classification\n- **Output:** something like\n - `asset/company`\n - `signal`: growth / decline / neutral\n - `probability`: 0–1 or 0–100%\n - `confidence rationale`: short explanation tied to articles/events\n\nImportant distinction:\n- **Probability** = model-estimated likelihood\n- **Confidence** = how certain the system is in its own classification \nYou can combine them, but they are not exactly the same thing.\n\nGiven your current codebase, this revised goal fits well:\n- feed aggregation already exists\n- clustering already exists\n- next missing layer is **company/event sentiment inference and scoring**\n\nRight now the README/architecture are out of sync with your intended product.",
"timestamp": "2026-04-15T13:50:06.067825Z",
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"content": "This was my initial presentation: LLM-Driven Event Analysis forAlgorithmic TradingBy Benjamin WattMachine Learning in Finance and TradingProject OverviewDescriptionThis project aims to create a system where a pool of business news feeds areprocessed periodically by a Large Language Model to interpret events, assesstheir potential market impact, and generate automated trading signals forbacktesting.Project OverviewThe ProblemLimitations of Traditional Sentiment Analysis:Traditional sentiment analysis methods struggle with understanding context andthe order of words. Most sentiment analysis tools just look at individual words inisolation, ignoring how they relate to each other or the overall meaning of thesentence. When combining sentiment with market data, models often focus tooheavily on price patterns and ignore the sentiment signals entirelyThe Opportunity:The recent advances in AI and large language models have opened up newpossibilities for machine learning in finance, with much better ability tounderstand context and process large amounts of information. LLMs can usetheir language understanding to better interpret complex financial sentiment.Project OverviewWhy This MattersAcademic Contribution:• Tests whether advanced AI can understand complexbusiness events better than traditional sentiment tools.• Provides measurable evaluation of LLM reasoning in areal-world financial context.Practical Value:• Explores if LLMs can extract trading insights thattraditional methods miss• Potential to process news at scale that human traderscannot handle.Research Gap:While LLMs haveshown promise infinancialapplications, theirspecific capabilityfor eventinterpretation withsignal generationrequires furtherinvestigation.Background Research SummaryLiterature ReviewAreas Researched• Sentiment analysis in algorithmic trading• Large language models in financial applications• Limitations of traditional NLP methods in finance• Event-driven trading strategiesMain FocusUnderstanding how LLMs can improve upon traditional sentiment analysismethods for financial news interpretation, and whether they can generateactionable trading signals from complex business events.Background Research SummaryKey FindingsA study at Stanford on algorithmic trading using sentiment analysis achieved2.4x better risk-adjusted returns compared to baseline approaches.Finance-specific LLMs like FinLlama perform better than general-purposemodels when trained specifically on financial datasets.LLMs trained on massive amounts of financial data (like BloombergGPT)significantly outperform general models on financial tasks.A 2024 research paper found sentiment analysis has limited ability to predictshort-term stock movements, with broader market sentiment being more usefulthat individual stock new.Project ObjectivesClear Project Goals• Develop an LLM-based news analysis system that interprets business newsand events and assesses their potential market impact.• Generate trading signals based on LLM interpretation of news events.• Compare LLM performance against traditional sentiment analysis methodsand baseline strategies.• Measure success using clear metrics such as prediction accuracy,profitability, and signal quality.System ArchitectureHigh-Level DesignSystem Components:• News Data Collection - Collect business news from multiple sources• Article aggregation - Collect news from different sources and merge them bysimilar events. In order to generate a somewhat unbiased version using anLLM• LLM Event Interpretation - Feed processed articles into another LLM for eventinterpretation and impact assessment• Signal Generation - Convert LLM analysis into trading signals• Backtesting - Test signals against historical stock price data and evaluatperformanceImplementation PlanPhase 1: October-NovemberCollection & LLM Integration• Set up news data collection pipeline (APIs/web scraping)• Integrate LLM API (OpenAI, Anthropic, etc)• Develop basic article aggregation and processing• Build Flutter frontend for prototype.Current Approach: All processing handled client-side in flutter (no backend yet)Implementation PlanPhase 2: November-DecemberBackend Development & Automation• Build backend infrastructure• Move processing from client-side to cloud• Implement automated news collection and processing• Set up periodic LLM analysis in the cloud• Create data persistence layer for articles and signalsImplementation PlanWeek 11 DeliverablesWhat must be ready:• Working prototype that processes news and generates signals• Initial backtesting results on limited dataset• Documentation of system architecture and code• Evidence uploaded to Tuleap/GitLabTechnology:• Frontend: Flutter (prototype - all processing client-side)• Backend (future): Javascript/Deno + Supabase (Postgres)• APIs: LLM APIs, news RSS feeds and APIs, stock data APIS.Risk AssessmentAPI Cost OverrunsLLM API calls can become expensive with frequent processing.Mitigation:• Set strict usage limits and budget caps• Cache LLM results to avoid reprocessing articles more than once• Use efficient prompting strategies to minimise tokensRisk AssessmentData Quality IssuesNews sources may have inconsistent formatting or biased reporting.Mitigation:• Use multiple news sources for cross-validation• Use LLM aggregation to generate less biased interpretationRisk AssessmentLLM Hallucination/InaccuracyLLM may misinterpret events or generate unreliable analysisMitigation:• Compare responses from multiple LLM calls• Implement confidence scoring for predictions• Validate against known historical eventsRisk AssessmentScope CreepProject could become too ambitious and can’t be completed on timeMitigation:• Focus on core functionality first• Clearly defined phase 1 & 2 goals• Regular check-ins with supervisor to stay on trackChallenge Week AchievementsTechnical ProgressFlutter App Development• Created basic Flutter app structure• Started building settings page with API key and feeds input fields• Established project foundationsWhat This Demonstrates• Project has begun with concrete development work• Clear direction for implementing core featuresNext Steps• Complete settings -> Connect news api -> Implement LLM ProcessingTulip & GitLabProject Management StrategyTuleap• Project account set up and accessible• Challenge week activities will be documented after presentation• Will be used for milestone tracking and progress updates going forwardGitLab• Project is currently hosted at http://git.imbenji.dev/• Will mirror to CSEE GitLab repository after presentation• Contains Flutter app foundation and will include all technical documentationThat’s it from meAnd now for the ReferencesReferences[1] \"Algorithmic Trading using Sentiment Analysis and Reinforcement Learning,\" Stanford CS229 Project, 2017. [Online].Available: https://cs229.stanford.edu/proj2017/final-reports/5222284.pdf[2] S. Colianni, S. Rosales, and M. Signorotti, \"Algorithmic trading of cryptocurrency based on Twitter sentimentanalysis,\" CS229 Project, vol. 1, no. 5, pp. 1-4, 2015.[3] G. Kengmegni, \"Limitations of News Sentiment Analysis in Short-term Stock Return Prediction: A Multi-LevelApproach,\" SSRN, Nov. 2024. [Online]. Available: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5086825[4] G. Iacovides, T. Konstantinidis, M. Xu, and D. Mandic, \"FinLlama: Financial Sentiment Classification for AlgorithmicTrading Applications,\" arXiv:2403.12285, Mar. 2024.[5] Y. Kong et al., \"A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges,\"arXiv:2406.11903, Jun. 2024.[6] S. Wu et al., \"BloombergGPT: A Large Language Model for Finance,\" Bloomberg LP, Apr. 2023. [Online]. Available:https://www.bloomberg.com/company/press/bloomberggpt-50-billion-parameter-llm-tuned-finance/•",
"timestamp": "2026-04-15T13:52:56.259896Z"
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"content": "Yes — this presentation makes the intended project much clearer.\n\nYour original intent is **not just sentiment analysis**. It is:\n\n1. collect business/finance news \n2. aggregate related reporting into events \n3. use an LLM to interpret likely market impact \n4. convert that into a **growth / decline / neutral signal** \n5. attach a **probability/confidence**\n6. eventually **backtest** those signals\n\nThat is coherent, and it matches a capstone/research framing better than “predict stock price” on its own.\n\nWhat I’d say the project is, in one line:\n\n> An LLM-driven event analysis system for financial news that generates probabilistic market-growth signals for evaluation and backtesting.\n\nWhat stands out from your presentation:\n- The **research question** is clear.\n- The **gap** is clear: traditional sentiment misses context.\n- The **architecture** is reasonable.\n- The **phasing** is sensible: prototype first, backend later.\n- The **risk assessment** is good and realistic.\n\nWhere this leaves the current codebase:\n- It already covers part of **Phase 1**:\n - RSS collection\n - article aggregation\n - embeddings-based grouping\n - settings/UI\n- It does **not yet** implement the core research output:\n - LLM event interpretation\n - signal generation\n - growth probability\n - backtesting\n - comparison against baseline sentiment methods\n\nSo the codebase is currently a **news ingestion + clustering prototype**, while the presentation describes a **signal-generation research system**.\n\nThe cleanest way to reconcile everything is to define the pipeline as:\n\n- **News collection**\n- **Event clustering**\n- **LLM event interpretation**\n- **Signal generation**\n- **Probability scoring**\n- **Backtesting**\n\nAnd define the output as something like:\n\n```json\n{\n \"entity\": \"NVIDIA\",\n \"event\": \"Strong quarterly earnings and raised guidance\",\n \"signal\": \"growth\",\n \"probability\": 0.78,\n \"confidence\": 0.71,\n \"evidence\": [\n \"Reuters article ...\",\n \"Bloomberg article ...\"\n ]\n}\n```\n\nOne important wording improvement:\navoid saying the system “predicts the stock will go up or down” as the primary claim.\n\nBetter wording:\n- “indicates likely market direction”\n- “generates probabilistic growth signals”\n- “assesses likely market impact”\n- “produces trading signals for backtesting”\n\nThat keeps it academically stronger and easier to defend.\n\nSo overall: **yes, it makes sense, and your presentation defines a broader and more accurate project than the current README/code currently communicate.**",
"timestamp": "2026-04-15T13:53:05.624865Z",
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"content": "I need this finished quick. So lets start by writing an MVP that we can follow. Use the advisor to help you out",
"timestamp": "2026-04-15T13:53:34.998551Z"
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"content": "Advisor call\n{\n \"model\": \"anthropic/claude-sonnet-4.6\"\n}",
"timestamp": "2026-04-15T13:53:39.210454Z"
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"content": "Advisor result\nHere is the MVP plan:\n\n---\n\n## Augor MVP\n\n**Goal:** A working Flutter desktop app that ingests business news, clusters related articles into events, and uses an LLM to generate a growth signal with a probability for each event.\n\n---\n\n### What is in scope\n\n| Feature | Status |\n|---|---|\n| RSS feed ingestion | Done |\n| Event clustering (embeddings) | Done |\n| Settings (API key, feeds, storage) | Done |\n| LLM event interpretation | Missing |\n| Signal generation (growth/decline/neutral) | Missing |\n| Probability/confidence score | Missing |\n| Results UI (display signals to user) | Missing |\n\n---\n\n### What is out of scope for MVP\n\n- Backtesting\n- Backend / cloud processing\n- Company/ticker extraction\n- Historical comparison\n- Multiple LLM comparison\n\n---\n\n### Pipeline\n\n```\nRSS Feeds\n ↓\nFetch Articles\n ↓\nGenerate Embeddings (OpenAI text-embedding-3-small)\n ↓\nCluster into Events (cosine similarity, already works)\n ↓\nFor each event cluster:\n └─ Combine article titles + descriptions into a prompt\n └─ Ask LLM: interpret the event, generate signal + probability\n ↓\nDisplay results in UI\n ↓\nExport to JSON\n```\n\n---\n\n### LLM Prompt (per event cluster)\n\nEach event cluster becomes one LLM call. The prompt should:\n1. Give the LLM the combined headlines and summaries from the cluster\n2. Ask it to identify what the event is\n3. Ask for signal: growth / decline / neutral\n4. Ask for probability (0.0–1.0) and confidence (0.0–1.0)\n5. Ask for a short rationale\n\nStructured JSON output removes ambiguity:\n\n```json\n{\n \"event_summary\": \"short description of the event\",\n \"signal\": \"growth | decline | neutral\",\n \"probability\": 0.0,\n \"confidence\": 0.0,\n \"rationale\": \"why this signal was assigned\"\n}\n```\n\nUse `response_format: json_object` via the OpenAI chat completions API so the output is always parseable.\n\n---\n\n### New code needed\n\n**`lib/utils/signal_generator.dart`**\n- takes a `List` (one cluster)\n- builds the prompt\n- calls `openai.chat.completions.create()`\n- parses response into a `EventSignal` model\n\n**`lib/models/event_signal.dart`**\n- `eventSummary`, `signal`, `probability`, `confidence`, `rationale`, `articles`\n\n**`lib/pages/home.dart` changes**\n- after clustering, run `SignalGenerator` for each cluster\n- replace the current \"nothing here is final yet\" UI with a list of `EventSignalCard` widgets\n\n**`lib/widgets/event_signal_card.dart`**\n- Shows event summary, signal badge (green/red/grey), probability bar, rationale\n\n---\n\n### Files to change\n\n| File | Change |\n|---|---|\n| `lib/pages/home.dart` | Add signal generation step, replace placeholder UI with results list |\n| `lib/utils/agrigator.dart` | Minor: filter out single-article clusters (size < 2) before sending to LLM |\n| `lib/utils/openai.dart` | Already has chat completions — verify JSON mode works |\n| `pubspec.yaml` | No new deps needed |\n\n---\n\n### Build order\n\n1. `EventSignal` model\n2. `signal_generator.dart` — LLM call + parse\n3. Wire it into the home page pipeline\n4. `EventSignalCard` widget — basic display\n5. Test end to end\n6. Export signals to JSON alongside existing outputs\n\n---\n\n### Definition of MVP done\n\n- User presses \"Aggregate\"\n- App fetches feeds, clusters articles, generates LLM signals\n- Results display in the UI: event summary, signal, probability, rationale\n- Signals exported to `signals.json`\n\nThat is the entire deliverable. No backtesting, no backend, no ticker extraction.\n\n---\n\n### Immediate next step\n\nStart with `EventSignal` model and `signal_generator.dart`. Those are pure logic with no UI dependency, so they can be built and tested in isolation before touching the home page.\n\nDo you want to start building this now?",
"timestamp": "2026-04-15T13:54:13.972175Z"
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"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/progress.md\",\n \"offset\": 0,\n \"limit\": 300\n}",
"timestamp": "2026-04-15T13:54:26.477646Z"
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"role": "tool",
"content": "Read result\n1\t# Progress\n2\t\n3\tLast updated: 2026-03-06\n4\t\n5\t## Current Status\n6\tThe project is in a functional prototype stage: core feed aggregation and embedding-based grouping are implemented, but production hardening and test quality are still pending.\n7\t\n8\t## Completed\n9\t- Flutter app shell with desktop platform support (macOS, Linux, Windows).\n10\t- Navigation between Home and Settings pages (`go_router`).\n11\t- Persistent settings management via `Provider` + `SharedPreferences`.\n12\t- Default catalog of business/finance feeds.\n13\t- Feed parsing for both RSS and Atom formats.\n14\t- Concurrent feed retrieval and aggregation.\n15\t- OpenAI embeddings integration (`text-embedding-3-small`).\n16\t- Relevance filtering using keyword embedding similarity.\n17\t- Event grouping by cosine similarity.\n18\t- JSON output export pipeline for raw/enriched/relevant/grouped datasets.\n19\t\n20\t## In Progress / Partial\n21\t- UX for long-running pipeline execution:\n22\t - Processing runs on button tap with console logs only.\n23\t - No progress indicator, cancellation, or error surface in UI.\n24\t- Data quality controls:\n25\t - No deduplication or normalization layer before grouping.\n26\t - No source weighting/confidence scoring.\n27\t- Architecture maturation:\n28\t - Core pipeline is orchestrated in UI layer rather than dedicated service/use-case layer.\n29\t\n30\t## Known Defects and Risks\n31\t- `SettingsPage` can crash when API key is empty:\n32\t - `apiKey.substring(0, 8)` is called even when key is `\"\"`.\n33\t- Disabled feeds are still processed:\n34\t - Home page currently sends all feed URLs, not only `enabled == true`.\n35\t- `updateFeed` replaces feed object and can change derived `id`:\n36\t - If title/url changes, later operations using old id may become inconsistent.\n37\t- No guardrails for invalid/empty API key before embedding requests.\n38\t- Error handling is mostly `print`-based and non-user-visible.\n39\t\n40\t## Validation Snapshot (run on 2026-03-06)\n41\t- `flutter analyze`: fails with 24 issues\n42\t - Includes 2 warnings (immutability, unused import) and multiple lint infos.\n43\t- `flutter test`: fails\n44\t - Existing test is the default counter smoke test and does not match current UI.\n45\t\n46\t## Testing Coverage\n47\t- No meaningful unit tests for:\n48\t - feed parsing\n49\t - similarity calculations\n50\t - grouping behavior\n51\t - settings persistence\n52\t- No widget/integration tests for Home and Settings user flows.\n53\t\n54\t## Next High-Impact Steps\n55\t1. Fix the `SettingsPage` API key crash and respect feed `enabled` flags during aggregation.\n56\t2. Replace template widget test with app-specific widget tests for navigation + settings.\n57\t3. Extract pipeline orchestration from `HomePage` into a dedicated service for testability.\n58\t4. Add structured error/reporting model surfaced in the UI.\n59\t5. Add retry/backoff and timeout handling for external requests.\n60\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:54:26.479207Z"
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"content": "I’m writing the MVP plan into the repo and aligning it to the current codebase.",
"timestamp": "2026-04-15T13:54:31.060116Z"
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"role": "tool",
"content": "Write call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/architecture.md\",\n \"content\": \"# Architecture\\n\\n## Overview\\nAugor is a Flutter desktop application that aggregates business and finance news feeds, clusters related articles into events, uses an LLM to assess likely market impact, and outputs a probabilistic growth signal for each event.\\n\\n## MVP Goal\\nDeliver a working desktop prototype that:\\n- fetches articles from configured RSS/Atom feeds\\n- groups related reporting into event clusters\\n- asks an LLM to interpret each event cluster\\n- outputs a signal of `growth`, `decline`, or `neutral`\\n- includes a `probability` and `confidence` score\\n- displays results in the UI and exports them to JSON\\n\\n## What Is In Scope For MVP\\n- RSS/Atom feed ingestion\\n- Embedding generation for articles\\n- Relevance filtering for business/finance news\\n- Event clustering using cosine similarity\\n- LLM event interpretation per cluster\\n- Signal generation: `growth`, `decline`, `neutral`\\n- Probability/confidence scoring\\n- Result display in Flutter UI\\n- JSON export of generated signals\\n\\n## What Is Out Of Scope For MVP\\n- Backtesting\\n- Automated trading execution\\n- Backend/cloud processing\\n- Historical price-data integration\\n- Company/ticker extraction\\n- Multi-model comparison\\n- Advanced bias reduction or source weighting\\n\\n## Runtime Components\\n- `lib/main.dart`\\n - App entrypoint.\\n - Loads persisted settings before rendering UI.\\n - Registers `SettingsProvider` in `MultiProvider`.\\n - Configures navigation with `go_router`.\\n- `lib/pages/home.dart`\\n - Main user flow trigger.\\n - Runs feed fetch, embedding generation, relevance filtering, grouping, LLM signal generation, export, and result rendering.\\n- `lib/pages/settings.dart`\\n - Settings UI for API key, feed list management, and output directory selection.\\n- `lib/providers/settings.dart`\\n - `ChangeNotifier` state container.\\n - Persists OpenAI key, feed list, and storage path with `SharedPreferences`.\\n- `lib/utils/agrigator.dart`\\n - Feed parsing, feed retrieval, embeddings, relevance filtering, and event grouping.\\n- `lib/utils/openai.dart`\\n - OpenAI API wrapper for embeddings and chat completions.\\n- `lib/utils/signal_generator.dart`\\n - Builds event-cluster prompts.\\n - Calls chat completions.\\n - Parses structured JSON into app signal models.\\n- `lib/models/event_signal.dart`\\n - Data model for a generated event signal.\\n- `lib/widgets/event_signal_card.dart`\\n - Displays one generated signal in the UI.\\n\\n## MVP Data Flow\\n1. App startup loads persisted settings in `SettingsProvider.load()`.\\n2. User starts analysis from the Home page.\\n3. App builds the list of enabled feed URLs.\\n4. Feeds are fetched and parsed into `FeedItem`s.\\n5. Raw aggregated articles are exported to `aggregated_feed.json`.\\n6. Embeddings are generated for each article using `text-embedding-3-small`.\\n7. Enriched articles are exported to `enriched_aggregated_feed.json`.\\n8. Articles are filtered for business/finance relevance.\\n9. Relevant articles are exported to `relevant_aggregated_feed.json`.\\n10. Relevant articles are grouped into event clusters by cosine similarity.\\n11. Grouped readable output is exported.\\n12. Each event cluster is sent to an LLM prompt for interpretation.\\n13. The LLM returns structured JSON containing:\\n - `event_summary`\\n - `signal`\\n - `probability`\\n - `confidence`\\n - `rationale`\\n14. Parsed signals are displayed in the UI.\\n15. Signals are exported to `signals.json`.\\n\\n## LLM Output Contract\\nEach analyzed event cluster must produce JSON in this shape:\\n\\n```json\\n{\\n \\\"event_summary\\\": \\\"short description of the event\\\",\\n \\\"signal\\\": \\\"growth\\\",\\n \\\"probability\\\": 0.78,\\n \\\"confidence\\\": 0.71,\\n \\\"rationale\\\": \\\"why this event suggests growth\\\"\\n}\\n```\\n\\nAllowed signal values:\\n- `growth`\\n- `decline`\\n- `neutral`\\n\\n## MVP Build Order\\n1. Add `EventSignal` model.\\n2. Add `signal_generator.dart` for prompt building and LLM parsing.\\n3. Wire signal generation into `lib/pages/home.dart` after clustering.\\n4. Add basic signal result rendering in the UI.\\n5. Export generated signals to `signals.json`.\\n6. Validate the end-to-end flow in the desktop app.\\n\\n## Current Constraints\\n- Processing is still UI-triggered and client-side only.\\n- No cancellation or progress reporting beyond basic UI state.\\n- No retry/backoff for network or model calls.\\n- No historical validation or backtesting in MVP.\\n- Quality of outputs depends on feed quality and LLM consistency.\\n\\n## Definition Of Done For MVP\\n- User clicks the main action on Home.\\n- App fetches articles from enabled feeds.\\n- App groups related stories into events.\\n- App generates one interpreted signal per event cluster.\\n- UI shows event summary, signal, probability, confidence, and rationale.\\n- Signals are written to `signals.json` in the configured output directory.\\n\"\n}",
"timestamp": "2026-04-15T13:54:52.331423Z"
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"role": "tool",
"content": "Write result\nThe file /Users/imbenji/StudioProjects/capstone_project/architecture.md has been updated successfully.",
"timestamp": "2026-04-15T13:55:33.292781Z"
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"role": "assistant",
"content": "Wrote the MVP plan into `architecture.md:1`.\n\nIt now defines:\n- the actual MVP goal\n- in-scope vs out-of-scope\n- the end-to-end pipeline\n- the LLM JSON contract\n- the concrete build order\n- MVP done criteria\n\nNext step is implementation against that plan:\n1. `lib/models/event_signal.dart`\n2. `lib/utils/signal_generator.dart`\n3. wire it into `lib/pages/home.dart`\n4. render results in the UI\n5. export `signals.json`",
"timestamp": "2026-04-15T13:55:34.435538Z",
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"role": "user",
"content": "Up for the task of completing this today?",
"timestamp": "2026-04-15T13:55:57.905827Z"
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"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/utils/openai.dart\",\n \"offset\": 300,\n \"limit\": 260\n}",
"timestamp": "2026-04-15T13:56:05.513669Z"
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{
"role": "tool",
"content": "Read result\n301\t Delta({\n302\t this.role,\n303\t this.content,\n304\t });\n305\t\n306\t factory Delta.fromJson(Map json) => Delta(\n307\t role: json['role'],\n308\t content: json['content'],\n309\t );\n310\t}\n311\t\n312\t/// Token usage information\n313\tclass Usage {\n314\t final int? promptTokens;\n315\t final int? completionTokens;\n316\t final int? totalTokens;\n317\t\n318\t Usage({\n319\t this.promptTokens,\n320\t this.completionTokens,\n321\t this.totalTokens,\n322\t });\n323\t\n324\t factory Usage.fromJson(Map json) => Usage(\n325\t promptTokens: json['prompt_tokens'],\n326\t completionTokens: json['completion_tokens'],\n327\t totalTokens: json['total_tokens'],\n328\t );\n329\t\n330\t Map toJson() => {\n331\t if (promptTokens != null) 'prompt_tokens': promptTokens,\n332\t if (completionTokens != null) 'completion_tokens': completionTokens,\n333\t if (totalTokens != null) 'total_tokens': totalTokens,\n334\t };\n335\t}\n336\t\n337\t/// OpenAI API exception\n338\tclass OpenAIException implements Exception {\n339\t final int statusCode;\n340\t final String message;\n341\t\n342\t OpenAIException({\n343\t required this.statusCode,\n344\t required this.message,\n345\t });\n346\t\n347\t @override\n348\t String toString() => 'OpenAIException($statusCode): $message';\n349\t}\n350\t\n351\t/// Embeddings API\n352\tclass Embeddings {\n353\t final OpenAI _openai;\n354\t\n355\t Embeddings(this._openai);\n356\t\n357\t /// Create embeddings for input text\n358\t Future create({\n359\t required String model,\n360\t required dynamic input, // String or List\n361\t String? user,\n362\t String? encodingFormat, // 'float' or 'base64'\n363\t int? dimensions,\n364\t }) async {\n365\t final body = {\n366\t 'model': model,\n367\t 'input': input,\n368\t if (user != null) 'user': user,\n369\t if (encodingFormat != null) 'encoding_format': encodingFormat,\n370\t if (dimensions != null) 'dimensions': dimensions,\n371\t };\n372\t\n373\t final response = await _openai._client.post(\n374\t Uri.parse('${_openai.baseUrl}/embeddings'),\n375\t headers: {\n376\t 'Content-Type': 'application/json',\n377\t 'Authorization': 'Bearer ${_openai.apiKey}',\n378\t },\n379\t body: jsonEncode(body),\n380\t );\n381\t\n382\t if (response.statusCode != 200) {\n383\t throw OpenAIException(\n384\t statusCode: response.statusCode,\n385\t message: response.body,\n386\t );\n387\t }\n388\t\n389\t return EmbeddingResponse.fromJson(jsonDecode(response.body));\n390\t }\n391\t}\n392\t\n393\t/// Embedding response\n394\tclass EmbeddingResponse {\n395\t final String object;\n396\t final List data;\n397\t final String model;\n398\t final Usage? usage;\n399\t\n400\t EmbeddingResponse({\n401\t required this.object,\n402\t required this.data,\n403\t required this.model,\n404\t this.usage,\n405\t });\n406\t\n407\t factory EmbeddingResponse.fromJson(Map json) =>\n408\t EmbeddingResponse(\n409\t object: json['object'],\n410\t data: (json['data'] as List).map((e) => Embedding.fromJson(e)).toList(),\n411\t model: json['model'],\n412\t usage: json['usage'] != null ? Usage.fromJson(json['usage']) : null,\n413\t );\n414\t}\n415\t\n416\t/// Individual embedding\n417\tclass Embedding {\n418\t final String object;\n419\t final int index;\n420\t final List embedding;\n421\t\n422\t Embedding({\n423\t required this.object,\n424\t required this.index,\n425\t required this.embedding,\n426\t });\n427\t\n428\t factory Embedding.fromJson(Map json) => Embedding(\n429\t object: json['object'],\n430\t index: json['index'],\n431\t embedding: (json['embedding'] as List).map((e) => (e as num).toDouble()).toList(),\n432\t );\n433\t\n434\t}\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:56:05.515200Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/settings.dart\",\n \"offset\": 320,\n \"limit\": 260\n}",
"timestamp": "2026-04-15T13:56:05.515240Z"
},
{
"role": "tool",
"content": "Read result\n321\t ),\n322\t ),\n323\t ).withPadding(all: 24),\n324\t );\n325\t }\n326\t}\n327\t\n328\tclass AddFeedDialog extends StatelessWidget {\n329\t\n330\t Feed? existingFeed;\n331\t\n332\t AddFeedDialog({super.key, this.existingFeed});\n333\t\n334\t InputKey feedTitleKey = InputKey(\"feed_title\");\n335\t InputKey feedUrlKey = InputKey(\"feed_url\");\n336\t\n337\t @override\n338\t Widget build(BuildContext context) {\n339\t return AlertDialog(\n340\t title: Text(\n341\t existingFeed == null ? \"Add Feed\" : \"Edit Feed\"\n342\t ),\n343\t content: SizedBox(\n344\t width: 400,\n345\t child: Form(\n346\t onSubmit: (context, values) {\n347\t String title = values[feedTitleKey] ?? \"\";\n348\t String url = values[feedUrlKey] ?? \"\";\n349\t\n350\t SettingsProvider settings = SettingsProvider.of(context);\n351\t\n352\t if (existingFeed != null) {\n353\t settings.updateFeed(\n354\t existingFeed!.id,\n355\t title: title,\n356\t url: url\n357\t );\n358\t } else {\n359\t settings.addFeed(Feed(\n360\t title: title,\n361\t url: url,\n362\t enabled: true\n363\t ));\n364\t }\n365\t\n366\t Navigator.of(context).pop();\n367\t },\n368\t child: Column(\n369\t crossAxisAlignment: CrossAxisAlignment.start,\n370\t children: [\n371\t\n372\t Text(\n373\t \"Add a custom RSS feed to your news sources.\"\n374\t ).muted,\n375\t\n376\t Gap(16),\n377\t\n378\t FormField(\n379\t key: feedTitleKey,\n380\t label: Text(\n381\t \"Title\"\n382\t ),\n383\t validator: ConditionalValidator((value) {\n384\t if (value is String) {\n385\t return value.trim().isNotEmpty;\n386\t }\n387\t return false;\n388\t }, message: \"Title cannot be empty\"),\n389\t child: TextField(\n390\t initialValue: existingFeed?.title,\n391\t ),\n392\t ),\n393\t\n394\t Gap(12),\n395\t\n396\t FormField(\n397\t key: feedUrlKey,\n398\t label: Text(\n399\t \"Resource URL\"\n400\t ),\n401\t validator: ConditionalValidator((value) {\n402\t if (value is String) {\n403\t return value.trim().isNotEmpty;\n404\t }\n405\t return false;\n406\t }, message: \"URL cannot be empty\"),\n407\t child: TextField(\n408\t initialValue: existingFeed?.url,\n409\t )\n410\t ),\n411\t\n412\t Gap(24),\n413\t\n414\t Text(\n415\t \"Only use valid RSS feed URLs. Preferably only use sites you trust, and specifically business and financial news sources.\"\n416\t ),\n417\t\n418\t Gap(24),\n419\t\n420\t Row(\n421\t mainAxisAlignment: MainAxisAlignment.end,\n422\t children: [\n423\t\n424\t Button.outline(\n425\t child: Text(\n426\t \"Cancel\"\n427\t ),\n428\t onPressed: () {\n429\t Navigator.of(context).pop();\n430\t },\n431\t ),\n432\t\n433\t Gap(8),\n434\t\n435\t SubmitButton(\n436\t child: Text(\n437\t existingFeed != null ? \"Update Feed\" : \"Add Feed\"\n438\t ),\n439\t ),\n440\t ],\n441\t )\n442\t ],\n443\t ),\n444\t ),\n445\t ),\n446\t );\n447\t }\n448\t\n449\t}\n450\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:56:05.516739Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/widgets/navbar.dart\",\n \"offset\": 0,\n \"limit\": 220\n}",
"timestamp": "2026-04-15T13:56:05.516789Z"
},
{
"role": "tool",
"content": "Read result\n1\t\n2\t\n3\timport 'package:go_router/go_router.dart';\n4\timport 'package:shadcn_flutter/shadcn_flutter.dart';\n5\t\n6\tclass ProjNavBar extends StatelessWidget {\n7\t\n8\t\n9\t static final Map _pageIndex = {\n10\t \"home\": 0,\n11\t \"settings\": 1\n12\t };\n13\t\n14\t late final int selectedIndex;\n15\t\n16\t ProjNavBar({super.key, String currentPage = \"home\"}) {\n17\t selectedIndex = _pageIndex[currentPage] ?? 0;\n18\t }\n19\t\n20\t @override\n21\t Widget build(BuildContext context) {\n22\t return NavigationBar(\n23\t selectedKey: ValueKey(selectedIndex),\n24\t onSelected: (key) {\n25\t final index = key is ValueKey ? key.value : 0;\n26\t if (index == 0) {\n27\t GoRouter.of(context).go(\"/\");\n28\t } else if (index == 1) {\n29\t GoRouter.of(context).go(\"/settings\");\n30\t }\n31\t },\n32\t children: [\n33\t NavigationItem(\n34\t key: const ValueKey(0),\n35\t label: Text(\n36\t \"Home\"\n37\t ),\n38\t child: Icon(\n39\t LucideIcons.house\n40\t ),\n41\t ),\n42\t NavigationItem(\n43\t key: const ValueKey(1),\n44\t label: Text(\n45\t \"Settings\"\n46\t ),\n47\t child: Icon(\n48\t LucideIcons.settings\n49\t ),\n50\t )\n51\t ],\n52\t );\n53\t }\n54\t\n55\t}\n56\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:56:05.517513Z"
},
{
"role": "assistant",
"content": "Yes. I’m going to build the MVP now: signal model, LLM signal generation, home-page wiring, and a basic results UI, then validate with analyze/test.",
"timestamp": "2026-04-15T13:56:11.714476Z"
},
{
"role": "tool",
"content": "Write call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/models/event_signal.dart\",\n \"content\": \"import 'package:capstone_project/utils/agrigator.dart';\\n\\nclass EventSignal {\\n final String eventSummary;\\n final String signal;\\n final double probability;\\n final double confidence;\\n final String rationale;\\n final List articles;\\n\\n EventSignal({\\n required this.eventSummary,\\n required this.signal,\\n required this.probability,\\n required this.confidence,\\n required this.rationale,\\n required this.articles,\\n });\\n\\n factory EventSignal.fromJson(Map json, List articles) {\\n return EventSignal(\\n eventSummary: (json['event_summary'] ?? '').toString(),\\n signal: _normalizeSignal((json['signal'] ?? '').toString()),\\n probability: _normalizeScore(json['probability']),\\n confidence: _normalizeScore(json['confidence']),\\n rationale: (json['rationale'] ?? '').toString(),\\n articles: articles,\\n );\\n }\\n\\n Map toJson() {\\n return {\\n 'event_summary': eventSummary,\\n 'signal': signal,\\n 'probability': probability,\\n 'confidence': confidence,\\n 'rationale': rationale,\\n 'articles': articles.map((article) => article.toJson()).toList(),\\n };\\n }\\n\\n static String _normalizeSignal(String value) {\\n switch (value.trim().toLowerCase()) {\\n case 'growth':\\n return 'growth';\\n case 'decline':\\n return 'decline';\\n default:\\n return 'neutral';\\n }\\n }\\n\\n static double _normalizeScore(dynamic value) {\\n if (value is num) {\\n return value.toDouble().clamp(0.0, 1.0);\\n }\\n\\n if (value is String) {\\n final parsed = double.tryParse(value);\\n if (parsed != null) {\\n return parsed.clamp(0.0, 1.0);\\n }\\n }\\n\\n return 0.0;\\n }\\n}\\n\"\n}",
"timestamp": "2026-04-15T13:56:20.574995Z"
},
{
"role": "tool",
"content": "Write result\nFile created successfully at: /Users/imbenji/StudioProjects/capstone_project/lib/models/event_signal.dart",
"timestamp": "2026-04-15T13:56:20.576743Z"
},
{
"role": "tool",
"content": "Write call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/utils/signal_generator.dart\",\n \"content\": \"import 'dart:convert';\\n\\nimport 'package:capstone_project/models/event_signal.dart';\\nimport 'package:capstone_project/utils/agrigator.dart';\\nimport 'package:capstone_project/utils/openai.dart';\\n\\nclass SignalGenerator {\\n final String apiKey;\\n\\n SignalGenerator({required this.apiKey});\\n\\n Future> generateSignals(List> clusters) async {\\n final filteredClusters = clusters.where((cluster) => cluster.isNotEmpty).toList();\\n\\n final results = await Future.wait(\\n filteredClusters.map((cluster) => generateSignal(cluster)),\\n );\\n\\n results.sort((a, b) => b.probability.compareTo(a.probability));\\n return results;\\n }\\n\\n Future generateSignal(List articles) async {\\n final openai = OpenAI(apiKey: apiKey);\\n\\n try {\\n final response = await openai.chat.completions.create(\\n model: 'gpt-4.1-mini',\\n messages: [\\n ChatMessage.system(\\n 'You analyze clusters of business and finance news articles. '\\n 'Return only valid JSON with keys event_summary, signal, probability, confidence, rationale. '\\n 'Signal must be one of growth, decline, neutral. '\\n 'Probability and confidence must be numbers between 0 and 1.',\\n ).toJson(),\\n ChatMessage.user(_buildPrompt(articles)).toJson(),\\n ],\\n temperature: 0.2,\\n ) as ChatCompletion;\\n\\n final rawContent = response.choices.first.message.content.trim();\\n final parsed = jsonDecode(_extractJson(rawContent)) as Map;\\n return EventSignal.fromJson(parsed, articles);\\n } catch (e) {\\n print('Error generating signal: $e');\\n return EventSignal(\\n eventSummary: _fallbackSummary(articles),\\n signal: 'neutral',\\n probability: 0.0,\\n confidence: 0.0,\\n rationale: 'Signal generation failed.',\\n articles: articles,\\n );\\n } finally {\\n openai.dispose();\\n }\\n }\\n\\n String _buildPrompt(List articles) {\\n final buffer = StringBuffer();\\n buffer.writeln('Analyze this business or financial news event cluster.');\\n buffer.writeln('Determine whether it indicates growth, decline, or neutral market impact.');\\n buffer.writeln('Return JSON only.');\\n buffer.writeln();\\n buffer.writeln('Articles:');\\n\\n for (int i = 0; i < articles.length; i++) {\\n final article = articles[i];\\n buffer.writeln('${i + 1}. Title: ${article.title}');\\n buffer.writeln(' Description: ${article.description}');\\n buffer.writeln(' Link: ${article.link}');\\n }\\n\\n buffer.writeln();\\n buffer.writeln('Required JSON format:');\\n buffer.writeln('{');\\n buffer.writeln(' \\\"event_summary\\\": \\\"short description of the event\\\",');\\n buffer.writeln(' \\\"signal\\\": \\\"growth | decline | neutral\\\",');\\n buffer.writeln(' \\\"probability\\\": 0.0,');\\n buffer.writeln(' \\\"confidence\\\": 0.0,');\\n buffer.writeln(' \\\"rationale\\\": \\\"brief explanation\\\"');\\n buffer.writeln('}');\\n\\n return buffer.toString();\\n }\\n\\n String _extractJson(String content) {\\n final start = content.indexOf('{');\\n final end = content.lastIndexOf('}');\\n\\n if (start == -1 || end == -1 || end < start) {\\n throw const FormatException('No JSON object found in model response.');\\n }\\n\\n return content.substring(start, end + 1);\\n }\\n\\n String _fallbackSummary(List articles) {\\n if (articles.isEmpty) {\\n return 'Unknown event';\\n }\\n\\n return articles.first.title;\\n }\\n}\\n\"\n}",
"timestamp": "2026-04-15T13:56:36.040160Z"
},
{
"role": "tool",
"content": "Write result\nFile created successfully at: /Users/imbenji/StudioProjects/capstone_project/lib/utils/signal_generator.dart",
"timestamp": "2026-04-15T13:56:36.045614Z"
},
{
"role": "tool",
"content": "Write call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/widgets/event_signal_card.dart\",\n \"content\": \"import 'package:capstone_project/models/event_signal.dart';\\nimport 'package:shadcn_flutter/shadcn_flutter.dart';\\n\\nclass EventSignalCard extends StatelessWidget {\\n final EventSignal signal;\\n\\n const EventSignalCard({super.key, required this.signal});\\n\\n @override\\n Widget build(BuildContext context) {\\n final color = switch (signal.signal) {\\n 'growth' => Colors.green,\\n 'decline' => Colors.red,\\n _ => Colors.gray,\\n };\\n\\n return Card(\\n child: Column(\\n crossAxisAlignment: CrossAxisAlignment.start,\\n children: [\\n Row(\\n children: [\\n Expanded(\\n child: Text(signal.eventSummary).semiBold.large,\\n ),\\n Badge(\\n style: const ButtonStyle.primary(),\\n child: Text(signal.signal),\\n ),\\n ],\\n ),\\n const Gap(12),\\n Text('Probability ${(signal.probability * 100).toStringAsFixed(1)}%'),\\n const Gap(4),\\n SizedBox(\\n width: double.infinity,\\n child: LinearProgressIndicator(\\n value: signal.probability,\\n color: color,\\n ),\\n ),\\n const Gap(12),\\n Text('Confidence ${(signal.confidence * 100).toStringAsFixed(1)}%').muted,\\n const Gap(8),\\n Text(signal.rationale),\\n const Gap(12),\\n Text('Articles: ${signal.articles.length}').muted.small,\\n ],\\n ).withPadding(all: 16),\\n );\\n }\\n}\\n\"\n}",
"timestamp": "2026-04-15T13:56:44.457140Z"
},
{
"role": "tool",
"content": "Write result\nFile created successfully at: /Users/imbenji/StudioProjects/capstone_project/lib/widgets/event_signal_card.dart",
"timestamp": "2026-04-15T13:56:44.459011Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/home.dart\",\n \"old_string\": \"\\nimport 'dart:convert';\\nimport 'dart:io';\\n\\nimport 'package:capstone_project/providers/settings.dart';\\nimport 'package:capstone_project/utils/agrigator.dart';\\nimport 'package:capstone_project/widgets/navbar.dart';\\nimport 'package:go_router/go_router.dart';\\nimport 'package:shadcn_flutter/shadcn_flutter.dart';\\n\\nclass HomePage extends StatelessWidget {\\n\\n static GoRoute route = GoRoute(\\n path: \\\"/\\\",\\n builder: (context, state) => HomePage()\\n );\\n\\n @override\\n Widget build(BuildContext context) {\\n // TODO: implement build\\n return Scaffold(\\n headers: [\\n AppBar()\\n ],\\n footers: [\\n ProjNavBar(\\n currentPage: \\\"home\\\",\\n )\\n ],\\n child: Center(\\n child: Column(\\n mainAxisSize: MainAxisSize.min,\\n children: [\\n\\n Text(\\n \\\"Nothing here is final yet!\\\",\\n ).h1,\\n\\n Gap(16),\\n\\n Button.primary(\\n onPressed: () async {\\n print(\\\"Aggregating feeds...\\\");\\n SettingsProvider settings = SettingsProvider.of(context);\\n\\n // Fetch all feeds\\n List feedUris = settings.feeds.map((feed) => Uri.parse(feed.url)).toList();\\n List aggregatedItems = await fetchFeeds(feedUris);\\n\\n // Save it to a file before generating embeddings\\n String agregatedJson = JsonEncoder.withIndent(' ').convert(aggregatedItems);\\n File agregatedJsonFile = File(\\\"${settings.applicationStorageLocation}/aggregated_feed.json\\\");\\n await agregatedJsonFile.writeAsString(agregatedJson);\\n print(\\\"Aggregated feed saved to ${agregatedJsonFile.path}\\\");\\n\\n // Generate embeddings for all items\\n print(\\\"Generating embeddings for ${aggregatedItems.length} items...\\\");\\n List enrichedItems = [...aggregatedItems];\\n await generateEmbeddings(enrichedItems, settings.openAIApiKey);\\n\\n // Save it to a file in the application storage location\\n String enrichedJson = JsonEncoder.withIndent(' ').convert(enrichedItems);\\n final file = File(\\\"${settings.applicationStorageLocation}/enriched_aggregated_feed.json\\\");\\n await file.writeAsString(enrichedJson);\\n print(\\\"Enriched aggregated feed saved to ${file.path}\\\");\\n\\n // Filter out irrelevant items\\n print(\\\"Filtering relevant items...\\\");\\n await generateKeywordEmbeddings(settings.openAIApiKey);\\n List relevantItems = [...aggregatedItems]..removeWhere((item) => !isFeedItemRelevant(item));\\n String relevantJson = JsonEncoder.withIndent(' ').convert(relevantItems);\\n final fileRelevant = File(\\\"${settings.applicationStorageLocation}/relevant_aggregated_feed.json\\\");\\n await fileRelevant.writeAsString(relevantJson);\\n print(\\\"Cut down from ${aggregatedItems.length} to ${relevantItems.length} relevant items.\\\");\\n print(\\\"Relevant aggregated feed saved to ${fileRelevant.path}\\\");\\n\\n // For human readability, save a version without embeddings\\n List readableItems = relevantItems.map((item) {\\n return FeedItem(\\n title: item.title,\\n link: item.link,\\n description: item.description,\\n );\\n }).toList();\\n\\n String readableJson = JsonEncoder.withIndent(' ').convert(readableItems);\\n final fileReadable = File(\\\"${settings.applicationStorageLocation}/readable_relevant_aggregated_feed.json\\\");\\n await fileReadable.writeAsString(readableJson);\\n print(\\\"Readable relevant aggregated feed saved to ${fileReadable.path}\\\");\\n\\n // Group by event\\n print(\\\"Grouping feed items by event...\\\");\\n List> groupedItems = groupFeedItemsByEvent(relevantItems);\\n List>> groupedItemsJson = groupedItems.map((group) {\\n return group.map((item) => item.toJson()).toList();\\n }).toList();\\n String groupedJson = JsonEncoder.withIndent(' ').convert(groupedItemsJson);\\n final fileGrouped = File(\\\"${settings.applicationStorageLocation}/grouped_relevant_aggregated_feed.json\\\");\\n await fileGrouped.writeAsString(groupedJson);\\n print(\\\"Grouped relevant aggregated feed saved to ${fileGrouped.path}\\\");\\n\\n // For human readability, save a version without embeddings\\n List> readableGroupedItems = groupedItems.map((group) {\\n return group.map((item) {\\n return FeedItem(\\n title: item.title,\\n link: item.link,\\n description: item.description,\\n );\\n }).toList();\\n }).toList();\\n // Sort groups by size descending\\n readableGroupedItems.sort((a, b) => b.length.compareTo(a.length));\\n List>> readableGroupedItemsJson = readableGroupedItems.map((group) {\\n return group.map((item) => item.toJson()).toList();\\n }).toList();\\n String readableGroupedJson = JsonEncoder.withIndent(' ').convert(readableGroupedItemsJson);\\n final fileReadableGrouped = File(\\\"${settings.applicationStorageLocation}/readable_grouped_relevant_aggregated_feed.json\\\");\\n await fileReadableGrouped.writeAsString(readableGroupedJson);\\n print(\\\"Readable grouped relevant aggregated feed saved to ${fileReadableGrouped.path}\\\");\\n\\n },\\n child: Text(\\n \\\"Aggregate your feeds\\\"\\n ),\\n )\\n\\n\\n\\n ],\\n ),\\n ),\\n );\\n }\\n\\n}\\n\",\n \"new_string\": \"\\nimport 'dart:convert';\\nimport 'dart:io';\\n\\nimport 'package:capstone_project/models/event_signal.dart';\\nimport 'package:capstone_project/providers/settings.dart';\\nimport 'package:capstone_project/utils/agrigator.dart';\\nimport 'package:capstone_project/utils/signal_generator.dart';\\nimport 'package:capstone_project/widgets/event_signal_card.dart';\\nimport 'package:capstone_project/widgets/navbar.dart';\\nimport 'package:go_router/go_router.dart';\\nimport 'package:shadcn_flutter/shadcn_flutter.dart';\\n\\nclass HomePage extends StatefulWidget {\\n const HomePage({super.key});\\n\\n static GoRoute route = GoRoute(\\n path: \\\"/\\\",\\n builder: (context, state) => const HomePage(),\\n );\\n\\n @override\\n State createState() => _HomePageState();\\n}\\n\\nclass _HomePageState extends State {\\n bool _isProcessing = false;\\n String _status = 'Ready';\\n String? _error;\\n List _signals = [];\\n\\n @override\\n Widget build(BuildContext context) {\\n return Scaffold(\\n headers: [\\n AppBar(),\\n ],\\n footers: [\\n ProjNavBar(\\n currentPage: \\\"home\\\",\\n ),\\n ],\\n child: Center(\\n child: SizedBox(\\n width: 900,\\n child: SingleChildScrollView(\\n child: Column(\\n crossAxisAlignment: CrossAxisAlignment.start,\\n children: [\\n Text('Augor').h1,\\n const Gap(8),\\n Text('Business news event analysis and growth signals.').muted,\\n const Gap(24),\\n Button.primary(\\n onPressed: _isProcessing ? null : () => _runPipeline(context),\\n child: Text(_isProcessing ? 'Processing...' : 'Aggregate your feeds'),\\n ),\\n const Gap(12),\\n Text(_status).muted,\\n if (_isProcessing) ...[\\n const Gap(12),\\n const SizedBox(\\n width: double.infinity,\\n child: LinearProgressIndicator(),\\n ),\\n ],\\n if (_error != null) ...[\\n const Gap(12),\\n DestructiveBadge(\\n child: Text(_error!),\\n ),\\n ],\\n const Gap(24),\\n if (_signals.isNotEmpty) ...[\\n Text('Signals').h3,\\n const Gap(12),\\n for (final signal in _signals) ...[\\n EventSignalCard(signal: signal),\\n const Gap(12),\\n ],\\n ],\\n ],\\n ).withPadding(all: 16),\\n ),\\n ),\\n ),\\n );\\n }\\n\\n Future _runPipeline(BuildContext context) async {\\n final settings = SettingsProvider.of(context);\\n\\n setState(() {\\n _isProcessing = true;\\n _error = null;\\n _status = 'Fetching feeds...';\\n _signals = [];\\n });\\n\\n try {\\n final enabledFeeds = settings.feeds.where((feed) => feed.enabled).toList();\\n final feedUris = enabledFeeds.map((feed) => Uri.parse(feed.url)).toList();\\n final aggregatedItems = await fetchFeeds(feedUris);\\n\\n await _writeJson(\\n '${settings.applicationStorageLocation}/aggregated_feed.json',\\n aggregatedItems,\\n );\\n\\n setState(() {\\n _status = 'Generating embeddings...';\\n });\\n await generateEmbeddings(aggregatedItems, settings.openAIApiKey);\\n\\n await _writeJson(\\n '${settings.applicationStorageLocation}/enriched_aggregated_feed.json',\\n aggregatedItems,\\n );\\n\\n setState(() {\\n _status = 'Filtering relevant articles...';\\n });\\n await generateKeywordEmbeddings(settings.openAIApiKey);\\n final relevantItems = [...aggregatedItems]..removeWhere((item) => !isFeedItemRelevant(item));\\n\\n await _writeJson(\\n '${settings.applicationStorageLocation}/relevant_aggregated_feed.json',\\n relevantItems,\\n );\\n\\n await _writeJson(\\n '${settings.applicationStorageLocation}/readable_relevant_aggregated_feed.json',\\n relevantItems\\n .map(\\n (item) => FeedItem(\\n title: item.title,\\n link: item.link,\\n description: item.description,\\n ),\\n )\\n .toList(),\\n );\\n\\n setState(() {\\n _status = 'Grouping events...';\\n });\\n final groupedItems = groupFeedItemsByEvent(relevantItems)\\n .where((group) => group.length >= 2)\\n .toList();\\n\\n await _writeJson(\\n '${settings.applicationStorageLocation}/grouped_relevant_aggregated_feed.json',\\n groupedItems.map((group) => group.map((item) => item.toJson()).toList()).toList(),\\n );\\n\\n final readableGroupedItems = groupedItems\\n .map(\\n (group) => group\\n .map(\\n (item) => FeedItem(\\n title: item.title,\\n link: item.link,\\n description: item.description,\\n ),\\n )\\n .toList(),\\n )\\n .toList()\\n ..sort((a, b) => b.length.compareTo(a.length));\\n\\n await _writeJson(\\n '${settings.applicationStorageLocation}/readable_grouped_relevant_aggregated_feed.json',\\n readableGroupedItems.map((group) => group.map((item) => item.toJson()).toList()).toList(),\\n );\\n\\n setState(() {\\n _status = 'Generating signals...';\\n });\\n final signalGenerator = SignalGenerator(apiKey: settings.openAIApiKey);\\n final signals = await signalGenerator.generateSignals(groupedItems);\\n\\n await _writeJson(\\n '${settings.applicationStorageLocation}/signals.json',\\n signals,\\n );\\n\\n setState(() {\\n _signals = signals;\\n _status = 'Done';\\n });\\n } catch (e) {\\n print('Pipeline failed: $e');\\n setState(() {\\n _error = e.toString();\\n _status = 'Failed';\\n });\\n } finally {\\n if (mounted) {\\n setState(() {\\n _isProcessing = false;\\n });\\n }\\n }\\n }\\n\\n Future _writeJson(String path, Object data) async {\\n final json = const JsonEncoder.withIndent(' ').convert(data);\\n await File(path).writeAsString(json);\\n print('Saved $path');\\n }\\n}\\n\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T13:57:22.382880Z"
},
{
"role": "tool",
"content": "Edit result\nError: String to replace not found in file.\nString: \nimport 'dart:convert';\nimport 'dart:io';\n\nimport 'package:capstone_project/providers/settings.dart';\nimport 'package:capstone_project/utils/agrigator.dart';\nimport 'package:capstone_project/widgets/navbar.dart';\nimport 'package:go_router/go_router.dart';\nimport 'package:shadcn_flutter/shadcn_flutter.dart';\n\nclass HomePage extends StatelessWidget {\n\n static GoRoute route = GoRoute(\n path: \"/\",\n builder: (context, state) => HomePage()\n );\n\n @override\n Widget build(BuildContext context) {\n // TODO: implement build\n return Scaffold(\n headers: [\n AppBar()\n ],\n footers: [\n ProjNavBar(\n currentPage: \"home\",\n )\n ],\n child: Center(\n child: Column(\n mainAxisSize: MainAxisSize.min,\n children: [\n\n Text(\n \"Nothing here is final yet!\",\n ).h1,\n\n Gap(16),\n\n Button.primary(\n onPressed: () async {\n print(\"Aggregating feeds...\");\n SettingsProvider settings = SettingsProvider.of(context);\n\n // Fetch all feeds\n List feedUris = settings.feeds.map((feed) => Uri.parse(feed.url)).toList();\n List aggregatedItems = await fetchFeeds(feedUris);\n\n // Save it to a file before generating embeddings\n String agregatedJson = JsonEncoder.withIndent(' ').convert(aggregatedItems);\n File agregatedJsonFile = File(\"${settings.applicationStorageLocation}/aggregated_feed.json\");\n await agregatedJsonFile.writeAsString(agregatedJson);\n print(\"Aggregated feed saved to ${agregatedJsonFile.path}\");\n\n // Generate embeddings for all items\n print(\"Generating embeddings for ${aggregatedItems.length} items...\");\n List enrichedItems = [...aggregatedItems];\n await generateEmbeddings(enrichedItems, settings.openAIApiKey);\n\n // Save it to a file in the application storage location\n String enrichedJson = JsonEncoder.withIndent(' ').convert(enrichedItems);\n final file = File(\"${settings.applicationStorageLocation}/enriched_aggregated_feed.json\");\n await file.writeAsString(enrichedJson);\n print(\"Enriched aggregated feed saved to ${file.path}\");\n\n // Filter out irrelevant items\n print(\"Filtering relevant items...\");\n await generateKeywordEmbeddings(settings.openAIApiKey);\n List relevantItems = [...aggregatedItems]..removeWhere((item) => !isFeedItemRelevant(item));\n String relevantJson = JsonEncoder.withIndent(' ').convert(relevantItems);\n final fileRelevant = File(\"${settings.applicationStorageLocation}/relevant_aggregated_feed.json\");\n await fileRelevant.writeAsString(relevantJson);\n print(\"Cut down from ${aggregatedItems.length} to ${relevantItems.length} relevant items.\");\n print(\"Relevant aggregated feed saved to ${fileRelevant.path}\");\n\n // For human readability, save a version without embeddings\n List readableItems = relevantItems.map((item) {\n return FeedItem(\n title: item.title,\n link: item.link,\n description: item.description,\n );\n }).toList();\n\n String readableJson = JsonEncoder.withIndent(' ').convert(readableItems);\n final fileReadable = File(\"${settings.applicationStorageLocation}/readable_relevant_aggregated_feed.json\");\n await fileReadable.writeAsString(readableJson);\n print(\"Readable relevant aggregated feed saved to ${fileReadable.path}\");\n\n // Group by event\n print(\"Grouping feed items by event...\");\n List> groupedItems = groupFeedItemsByEvent(relevantItems);\n List>> groupedItemsJson = groupedItems.map((group) {\n return group.map((item) => item.toJson()).toList();\n }).toList();\n String groupedJson = JsonEncoder.withIndent(' ').convert(groupedItemsJson);\n final fileGrouped = File(\"${settings.applicationStorageLocation}/grouped_relevant_aggregated_feed.json\");\n await fileGrouped.writeAsString(groupedJson);\n print(\"Grouped relevant aggregated feed saved to ${fileGrouped.path}\");\n\n // For human readability, save a version without embeddings\n List> readableGroupedItems = groupedItems.map((group) {\n return group.map((item) {\n return FeedItem(\n title: item.title,\n link: item.link,\n description: item.description,\n );\n }).toList();\n }).toList();\n // Sort groups by size descending\n readableGroupedItems.sort((a, b) => b.length.compareTo(a.length));\n List>> readableGroupedItemsJson = readableGroupedItems.map((group) {\n return group.map((item) => item.toJson()).toList();\n }).toList();\n String readableGroupedJson = JsonEncoder.withIndent(' ').convert(readableGroupedItemsJson);\n final fileReadableGrouped = File(\"${settings.applicationStorageLocation}/readable_grouped_relevant_aggregated_feed.json\");\n await fileReadableGrouped.writeAsString(readableGroupedJson);\n print(\"Readable grouped relevant aggregated feed saved to ${fileReadableGrouped.path}\");\n\n },\n child: Text(\n \"Aggregate your feeds\"\n ),\n )\n\n\n\n ],\n ),\n ),\n );\n }\n\n}\n",
"timestamp": "2026-04-15T13:57:22.389777Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/home.dart\",\n \"offset\": 0,\n \"limit\": 260\n}",
"timestamp": "2026-04-15T13:57:24.227956Z"
},
{
"role": "tool",
"content": "Read result\n1\t\n2\timport 'dart:convert';\n3\timport 'dart:io';\n4\t\n5\timport 'package:capstone_project/providers/settings.dart';\n6\timport 'package:capstone_project/utils/agrigator.dart';\n7\timport 'package:capstone_project/widgets/navbar.dart';\n8\timport 'package:go_router/go_router.dart';\n9\timport 'package:shadcn_flutter/shadcn_flutter.dart';\n10\t\n11\tclass HomePage extends StatelessWidget {\n12\t\n13\t static GoRoute route = GoRoute(\n14\t path: \"/\",\n15\t builder: (context, state) => HomePage()\n16\t );\n17\t\n18\t @override\n19\t Widget build(BuildContext context) {\n20\t // TODO: implement build\n21\t return Scaffold(\n22\t headers: [\n23\t AppBar()\n24\t ],\n25\t footers: [\n26\t ProjNavBar(\n27\t currentPage: \"home\",\n28\t )\n29\t ],\n30\t child: Center(\n31\t child: Column(\n32\t mainAxisSize: MainAxisSize.min,\n33\t children: [\n34\t\n35\t Text(\n36\t \"Nothing here is final yet!\",\n37\t ).h1,\n38\t\n39\t Gap(16),\n40\t\n41\t Button.primary(\n42\t onPressed: () async {\n43\t print(\"Aggregating feeds...\");\n44\t SettingsProvider settings = SettingsProvider.of(context);\n45\t\n46\t // Fetch all feeds\n47\t List feedUris = settings.feeds.map((feed) => Uri.parse(feed.url)).toList();\n48\t List aggregatedItems = await fetchFeeds(feedUris);\n49\t\n50\t // Save it to a file before generating embeddings\n51\t String agregatedJson = JsonEncoder.withIndent(' ').convert(aggregatedItems);\n52\t File agregatedJsonFile = File(\"${settings.applicationStorageLocation}/aggregated_feed.json\");\n53\t await agregatedJsonFile.writeAsString(agregatedJson);\n54\t print(\"Aggregated feed saved to ${agregatedJsonFile.path}\");\n55\t\n56\t // Generate embeddings for all items\n57\t print(\"Generating embeddings for ${aggregatedItems.length} items...\");\n58\t List enrichedItems = [...aggregatedItems];\n59\t await generateEmbeddings(enrichedItems, settings.openAIApiKey);\n60\t\n61\t // Save it to a file in the application storage location\n62\t String enrichedJson = JsonEncoder.withIndent(' ').convert(enrichedItems);\n63\t final file = File(\"${settings.applicationStorageLocation}/enriched_aggregated_feed.json\");\n64\t await file.writeAsString(enrichedJson);\n65\t print(\"Enriched aggregated feed saved to ${file.path}\");\n66\t\n67\t // Filter out irrelevant items\n68\t print(\"Filtering relevant items...\");\n69\t await generateKeywordEmbeddings(settings.openAIApiKey);\n70\t List relevantItems = [...aggregatedItems]..removeWhere((item) => !isFeedItemRelevant(item));\n71\t String relevantJson = JsonEncoder.withIndent(' ').convert(relevantItems);\n72\t final fileRelevant = File(\"${settings.applicationStorageLocation}/relevant_aggregated_feed.json\");\n73\t await fileRelevant.writeAsString(relevantJson);\n74\t print(\"Cut down from ${aggregatedItems.length} to ${relevantItems.length} relevant items.\");\n75\t print(\"Relevant aggregated feed saved to ${fileRelevant.path}\");\n76\t\n77\t // For human readability, save a version without embeddings\n78\t List readableItems = relevantItems.map((item) {\n79\t return FeedItem(\n80\t title: item.title,\n81\t link: item.link,\n82\t description: item.description,\n83\t );\n84\t }).toList();\n85\t\n86\t String readableJson = JsonEncoder.withIndent(' ').convert(readableItems);\n87\t final fileReadable = File(\"${settings.applicationStorageLocation}/readable_relevant_aggregated_feed.json\");\n88\t await fileReadable.writeAsString(readableJson);\n89\t print(\"Readable relevant aggregated feed saved to ${fileReadable.path}\");\n90\t\n91\t // Group by event\n92\t print(\"Grouping feed items by event...\");\n93\t List> groupedItems = groupFeedItemsByEvent(relevantItems);\n94\t List>> groupedItemsJson = groupedItems.map((group) {\n95\t return group.map((item) => item.toJson()).toList();\n96\t }).toList();\n97\t String groupedJson = JsonEncoder.withIndent(' ').convert(groupedItemsJson);\n98\t final fileGrouped = File(\"${settings.applicationStorageLocation}/grouped_relevant_aggregated_feed.json\");\n99\t await fileGrouped.writeAsString(groupedJson);\n100\t print(\"Grouped relevant aggregated feed saved to ${fileGrouped.path}\");\n101\t\n102\t // For human readability, save a version without embeddings\n103\t List> readableGroupedItems = groupedItems.map((group) {\n104\t return group.map((item) {\n105\t return FeedItem(\n106\t title: item.title,\n107\t link: item.link,\n108\t description: item.description,\n109\t );\n110\t }).toList();\n111\t }).toList();\n112\t // Sort groups by size descending\n113\t readableGroupedItems.sort((a, b) => b.length.compareTo(a.length));\n114\t List>> readableGroupedItemsJson = readableGroupedItems.map((group) {\n115\t return group.map((item) => item.toJson()).toList();\n116\t }).toList();\n117\t String readableGroupedJson = JsonEncoder.withIndent(' ').convert(readableGroupedItemsJson);\n118\t final fileReadableGrouped = File(\"${settings.applicationStorageLocation}/readable_grouped_relevant_aggregated_feed.json\");\n119\t await fileReadableGrouped.writeAsString(readableGroupedJson);\n120\t print(\"Readable grouped relevant aggregated feed saved to ${fileReadableGrouped.path}\");\n121\t\n122\t },\n123\t child: Text(\n124\t \"Aggregate your feeds\"\n125\t ),\n126\t )\n127\t\n128\t\n129\t\n130\t ],\n131\t ),\n132\t ),\n133\t );\n134\t }\n135\t\n136\t}\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:57:24.232924Z"
},
{
"role": "tool",
"content": "Write call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/home.dart\",\n \"content\": \"import 'dart:convert';\\nimport 'dart:io';\\n\\nimport 'package:capstone_project/models/event_signal.dart';\\nimport 'package:capstone_project/providers/settings.dart';\\nimport 'package:capstone_project/utils/agrigator.dart';\\nimport 'package:capstone_project/utils/signal_generator.dart';\\nimport 'package:capstone_project/widgets/event_signal_card.dart';\\nimport 'package:capstone_project/widgets/navbar.dart';\\nimport 'package:go_router/go_router.dart';\\nimport 'package:shadcn_flutter/shadcn_flutter.dart';\\n\\nclass HomePage extends StatefulWidget {\\n const HomePage({super.key});\\n\\n static GoRoute route = GoRoute(\\n path: \\\"/\\\",\\n builder: (context, state) => const HomePage(),\\n );\\n\\n @override\\n State createState() => _HomePageState();\\n}\\n\\nclass _HomePageState extends State {\\n bool _isProcessing = false;\\n String _status = 'Ready';\\n String? _error;\\n List _signals = [];\\n\\n @override\\n Widget build(BuildContext context) {\\n return Scaffold(\\n headers: [\\n AppBar(),\\n ],\\n footers: [\\n ProjNavBar(\\n currentPage: 'home',\\n ),\\n ],\\n child: Center(\\n child: SizedBox(\\n width: 900,\\n child: SingleChildScrollView(\\n child: Column(\\n crossAxisAlignment: CrossAxisAlignment.start,\\n children: [\\n Text('Augor').h1,\\n const Gap(8),\\n Text('Business news event analysis and growth signals.').muted,\\n const Gap(24),\\n Button.primary(\\n onPressed: _isProcessing ? null : () => _runPipeline(context),\\n child: Text(_isProcessing ? 'Processing...' : 'Aggregate your feeds'),\\n ),\\n const Gap(12),\\n Text(_status).muted,\\n if (_isProcessing) ...[\\n const Gap(12),\\n const SizedBox(\\n width: double.infinity,\\n child: LinearProgressIndicator(),\\n ),\\n ],\\n if (_error != null) ...[\\n const Gap(12),\\n DestructiveBadge(\\n child: Text(_error!),\\n ),\\n ],\\n const Gap(24),\\n if (_signals.isNotEmpty) ...[\\n Text('Signals').h3,\\n const Gap(12),\\n for (final signal in _signals) ...[\\n EventSignalCard(signal: signal),\\n const Gap(12),\\n ],\\n ],\\n ],\\n ).withPadding(all: 16),\\n ),\\n ),\\n ),\\n );\\n }\\n\\n Future _runPipeline(BuildContext context) async {\\n final settings = SettingsProvider.of(context);\\n\\n setState(() {\\n _isProcessing = true;\\n _error = null;\\n _status = 'Fetching feeds...';\\n _signals = [];\\n });\\n\\n try {\\n final enabledFeeds = settings.feeds.where((feed) => feed.enabled).toList();\\n final feedUris = enabledFeeds.map((feed) => Uri.parse(feed.url)).toList();\\n final aggregatedItems = await fetchFeeds(feedUris);\\n\\n await _writeJson(\\n '${settings.applicationStorageLocation}/aggregated_feed.json',\\n aggregatedItems,\\n );\\n\\n setState(() {\\n _status = 'Generating embeddings...';\\n });\\n await generateEmbeddings(aggregatedItems, settings.openAIApiKey);\\n\\n await _writeJson(\\n '${settings.applicationStorageLocation}/enriched_aggregated_feed.json',\\n aggregatedItems,\\n );\\n\\n setState(() {\\n _status = 'Filtering relevant articles...';\\n });\\n await generateKeywordEmbeddings(settings.openAIApiKey);\\n final relevantItems = [...aggregatedItems]..removeWhere((item) => !isFeedItemRelevant(item));\\n\\n await _writeJson(\\n '${settings.applicationStorageLocation}/relevant_aggregated_feed.json',\\n relevantItems,\\n );\\n\\n await _writeJson(\\n '${settings.applicationStorageLocation}/readable_relevant_aggregated_feed.json',\\n relevantItems\\n .map(\\n (item) => FeedItem(\\n title: item.title,\\n link: item.link,\\n description: item.description,\\n ),\\n )\\n .toList(),\\n );\\n\\n setState(() {\\n _status = 'Grouping events...';\\n });\\n final groupedItems = groupFeedItemsByEvent(relevantItems)\\n .where((group) => group.length >= 2)\\n .toList();\\n\\n await _writeJson(\\n '${settings.applicationStorageLocation}/grouped_relevant_aggregated_feed.json',\\n groupedItems.map((group) => group.map((item) => item.toJson()).toList()).toList(),\\n );\\n\\n final readableGroupedItems = groupedItems\\n .map(\\n (group) => group\\n .map(\\n (item) => FeedItem(\\n title: item.title,\\n link: item.link,\\n description: item.description,\\n ),\\n )\\n .toList(),\\n )\\n .toList()\\n ..sort((a, b) => b.length.compareTo(a.length));\\n\\n await _writeJson(\\n '${settings.applicationStorageLocation}/readable_grouped_relevant_aggregated_feed.json',\\n readableGroupedItems.map((group) => group.map((item) => item.toJson()).toList()).toList(),\\n );\\n\\n setState(() {\\n _status = 'Generating signals...';\\n });\\n final signalGenerator = SignalGenerator(apiKey: settings.openAIApiKey);\\n final signals = await signalGenerator.generateSignals(groupedItems);\\n\\n await _writeJson(\\n '${settings.applicationStorageLocation}/signals.json',\\n signals,\\n );\\n\\n setState(() {\\n _signals = signals;\\n _status = 'Done';\\n });\\n } catch (e) {\\n print('Pipeline failed: $e');\\n setState(() {\\n _error = e.toString();\\n _status = 'Failed';\\n });\\n } finally {\\n if (mounted) {\\n setState(() {\\n _isProcessing = false;\\n });\\n }\\n }\\n }\\n\\n Future _writeJson(String path, Object data) async {\\n final json = const JsonEncoder.withIndent(' ').convert(data);\\n await File(path).writeAsString(json);\\n print('Saved $path');\\n }\\n}\\n\"\n}",
"timestamp": "2026-04-15T13:57:45.911807Z"
},
{
"role": "tool",
"content": "Write result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/pages/home.dart has been updated successfully.",
"timestamp": "2026-04-15T13:57:45.913712Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart\",\n \"old_string\": \"class Feed {\\n\\n final String url;\\n final String title;\\n final bool enabled;\\n\\n Feed({required this.url, required this.title, this.enabled = true});\\n\\n Feed.fromJson(Map json)\\n : url = json['url'],\\n title = json['title'],\\n enabled = json['enabled'] ?? true;\\n\\n Map toJson() => {\\n 'url': url,\\n 'title': title,\\n 'enabled': enabled,\\n };\\n\\n int get id {\\n return url.hashCode ^ title.hashCode;\\n }\\n}\\n\",\n \"new_string\": \"class Feed {\\n\\n final int id;\\n final String url;\\n final String title;\\n final bool enabled;\\n\\n Feed({int? id, required this.url, required this.title, this.enabled = true}) : id = id ?? (url.hashCode ^ title.hashCode);\\n\\n Feed.fromJson(Map json)\\n : id = json['id'] ?? (json['url'].hashCode ^ json['title'].hashCode),\\n url = json['url'],\\n title = json['title'],\\n enabled = json['enabled'] ?? true;\\n\\n Map toJson() => {\\n 'id': id,\\n 'url': url,\\n 'title': title,\\n 'enabled': enabled,\\n };\\n}\\n\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T13:57:51.577169Z"
},
{
"role": "tool",
"content": "Edit result\nError: String to replace not found in file.\nString: class Feed {\n\n final String url;\n final String title;\n final bool enabled;\n\n Feed({required this.url, required this.title, this.enabled = true});\n\n Feed.fromJson(Map json)\n : url = json['url'],\n title = json['title'],\n enabled = json['enabled'] ?? true;\n\n Map toJson() => {\n 'url': url,\n 'title': title,\n 'enabled': enabled,\n };\n\n int get id {\n return url.hashCode ^ title.hashCode;\n }\n}\n",
"timestamp": "2026-04-15T13:57:51.578754Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart\",\n \"offset\": 210,\n \"limit\": 60\n}",
"timestamp": "2026-04-15T13:57:53.337278Z"
},
{
"role": "tool",
"content": "Read result\n211\t}\n212\t\n213\tclass Feed {\n214\t\n215\t final String url;\n216\t final String title;\n217\t final bool enabled;\n218\t\n219\t Feed({required this.url, required this.title, this.enabled = true});\n220\t\n221\t Feed.fromJson(Map json)\n222\t : url = json['url'],\n223\t title = json['title'],\n224\t enabled = json['enabled'] ?? true;\n225\t\n226\t Map toJson() => {\n227\t 'url': url,\n228\t 'title': title,\n229\t 'enabled': enabled,\n230\t };\n231\t\n232\t int get id {\n233\t return url.hashCode ^ title.hashCode;\n234\t }\n235\t}\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T13:57:53.613816Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart\",\n \"old_string\": \"class Feed {\\n\\n final String url;\\n final String title;\\n final bool enabled;\\n\\n Feed({required this.url, required this.title, this.enabled = true});\\n\\n Feed.fromJson(Map json)\\n : url = json['url'],\\n title = json['title'],\\n enabled = json['enabled'] ?? true;\\n\\n Map toJson() => {\\n 'url': url,\\n 'title': title,\\n 'enabled': enabled,\\n };\\n\\n int get id {\\n return url.hashCode ^ title.hashCode;\\n }\\n}\\n\",\n \"new_string\": \"class Feed {\\n\\n final int id;\\n final String url;\\n final String title;\\n final bool enabled;\\n\\n Feed({int? id, required this.url, required this.title, this.enabled = true}) : id = id ?? (url.hashCode ^ title.hashCode);\\n\\n Feed.fromJson(Map json)\\n : id = json['id'] ?? (json['url'].hashCode ^ json['title'].hashCode),\\n url = json['url'],\\n title = json['title'],\\n enabled = json['enabled'] ?? true;\\n\\n Map toJson() => {\\n 'id': id,\\n 'url': url,\\n 'title': title,\\n 'enabled': enabled,\\n };\\n}\\n\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T13:57:59.587527Z"
},
{
"role": "tool",
"content": "Edit result\nError: String to replace not found in file.\nString: class Feed {\n\n final String url;\n final String title;\n final bool enabled;\n\n Feed({required this.url, required this.title, this.enabled = true});\n\n Feed.fromJson(Map json)\n : url = json['url'],\n title = json['title'],\n enabled = json['enabled'] ?? true;\n\n Map toJson() => {\n 'url': url,\n 'title': title,\n 'enabled': enabled,\n };\n\n int get id {\n return url.hashCode ^ title.hashCode;\n }\n}\n",
"timestamp": "2026-04-15T13:57:59.591445Z"
},
{
"role": "tool",
"content": "Write call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart\",\n \"content\": \"\\nimport 'dart:convert';\\nimport 'package:flutter/material.dart';\\nimport 'package:provider/provider.dart';\\nimport 'package:shared_preferences/shared_preferences.dart';\\nimport 'package:uid/uid.dart';\\nimport 'package:path_provider/path_provider.dart';\\nimport 'dart:io';\\n\\nclass SettingsProvider extends ChangeNotifier {\\n\\n String _OPENAI_API_KEY = \\\"\\\";\\n String get openAIApiKey => _OPENAI_API_KEY;\\n\\n List _feeds = [\\n // Major Business News\\n Feed(\\n title: \\\"Business Insider\\\",\\n url: \\\"https://feeds.businessinsider.com/custom/all\\\"\\n ),\\n Feed(\\n title: \\\"BBC Business\\\",\\n url: \\\"https://feeds.bbci.co.uk/news/business/rss.xml\\\"\\n ),\\n Feed(\\n title: \\\"Reuters Business\\\",\\n url: \\\"https://www.reutersagency.com/feed/?taxonomy=best-topics&post_type=best\\\"\\n ),\\n Feed(\\n title: \\\"Financial Times\\\",\\n url: \\\"https://www.ft.com/?format=rss\\\"\\n ),\\n Feed(\\n title: \\\"Bloomberg\\\",\\n url: \\\"https://feeds.bloomberg.com/markets/news.rss\\\"\\n ),\\n\\n // Market-Specific\\n Feed(\\n title: \\\"MarketWatch\\\",\\n url: \\\"https://feeds.marketwatch.com/marketwatch/topstories/\\\"\\n ),\\n Feed(\\n title: \\\"Seeking Alpha\\\",\\n url: \\\"https://seekingalpha.com/feed.xml\\\"\\n ),\\n Feed(\\n title: \\\"Yahoo Finance\\\",\\n url: \\\"https://finance.yahoo.com/news/rssindex\\\"\\n ),\\n Feed(\\n title: \\\"CNBC\\\",\\n url: \\\"https://www.cnbc.com/id/100003114/device/rss/rss.html\\\"\\n ),\\n Feed(\\n title: \\\"The Wall Street Journal\\\",\\n url: \\\"https://feeds.a.dj.com/rss/RSSMarketsMain.xml\\\"\\n ),\\n\\n // Tech Business\\n Feed(\\n title: \\\"TechCrunch\\\",\\n url: \\\"https://techcrunch.com/feed/\\\"\\n ),\\n Feed(\\n title: \\\"The Verge\\\",\\n url: \\\"https://www.theverge.com/rss/index.xml\\\"\\n ),\\n Feed(\\n title: \\\"Ars Technica\\\",\\n url: \\\"https://feeds.arstechnica.com/arstechnica/index\\\"\\n ),\\n\\n // Company News\\n Feed(\\n title: \\\"Fortune\\\",\\n url: \\\"https://fortune.com/feed\\\"\\n ),\\n Feed(\\n title: \\\"Forbes Business\\\",\\n url: \\\"https://www.forbes.com/business/feed/\\\"\\n ),\\n Feed(\\n title: \\\"Inc Magazine\\\",\\n url: \\\"https://www.inc.com/rss\\\"\\n ),\\n\\n // Industry-Specific\\n Feed(\\n title: \\\"Retail Dive\\\",\\n url: \\\"https://www.retaildive.com/feeds/news/\\\"\\n ),\\n Feed(\\n title: \\\"Manufacturing Dive\\\",\\n url: \\\"https://www.manufacturingdive.com/feeds/news/\\\"\\n ),\\n Feed(\\n title: \\\"Banking Dive\\\",\\n url: \\\"https://www.bankingdive.com/feeds/news/\\\"\\n ),\\n\\n // Economic News\\n Feed(\\n title: \\\"The Economist\\\",\\n url: \\\"https://www.economist.com/finance-and-economics/rss.xml\\\"\\n ),\\n Feed(\\n title: \\\"Federal Reserve News\\\",\\n url: \\\"https://www.federalreserve.gov/feeds/press_all.xml\\\"\\n ),\\n ]; // List of rss feed URLs\\n List get feeds => List.unmodifiable(_feeds);\\n\\n late String _applicationStorageLocation;\\n String get applicationStorageLocation => _applicationStorageLocation;\\n\\n static SettingsProvider of(BuildContext context) {\\n return Provider.of(context, listen: false);\\n }\\n\\n Future load() async {\\n final Directory appDocDir = await getApplicationDocumentsDirectory();\\n _applicationStorageLocation = appDocDir.path;\\n\\n SharedPreferences prefs = await SharedPreferences.getInstance();\\n\\n _OPENAI_API_KEY = prefs.getString('openai_api_key') ?? _OPENAI_API_KEY;\\n\\n List? feedStrings = prefs.getStringList('feeds');\\n if (feedStrings != null) {\\n _feeds = feedStrings.map((fStr) {\\n try {\\n return Feed.fromJson(jsonDecode(fStr));\\n } catch (e) {\\n Map json = {};\\n fStr.substring(1, fStr.length - 1).split(', ').forEach((pair) {\\n List keyValue = pair.split(': ');\\n String key = keyValue[0];\\n String value = keyValue[1];\\n\\n if (value == 'true') {\\n json[key] = true;\\n } else if (value == 'false') {\\n json[key] = false;\\n } else {\\n json[key] = value;\\n }\\n });\\n return Feed.fromJson(json);\\n }\\n }).toList();\\n }\\n\\n _applicationStorageLocation = prefs.getString('application_storage_location') ?? applicationStorageLocation;\\n\\n notifyListeners();\\n }\\n\\n Future save() async {\\n SharedPreferences prefs = await SharedPreferences.getInstance();\\n\\n await prefs.setString('openai_api_key', _OPENAI_API_KEY);\\n await prefs.setStringList('feeds', _feeds.map((f) => jsonEncode(f.toJson())).toList());\\n await prefs.setString('application_storage_location', _applicationStorageLocation);\\n }\\n\\n void setOpenAIApiKey(String key) {\\n _OPENAI_API_KEY = key;\\n save();\\n notifyListeners();\\n }\\n\\n void addFeed(Feed feed) {\\n _feeds.add(feed);\\n save();\\n notifyListeners();\\n }\\n\\n Feed updateFeed(int id, {String? title, String? url, bool? enabled}) {\\n for (int i = 0; i < _feeds.length; i++) {\\n if (_feeds[i].id == id) {\\n Feed updatedFeed = Feed(\\n id: _feeds[i].id,\\n url: url ?? _feeds[i].url,\\n title: title ?? _feeds[i].title,\\n enabled: enabled ?? _feeds[i].enabled,\\n );\\n _feeds[i] = updatedFeed;\\n save();\\n notifyListeners();\\n return updatedFeed;\\n }\\n }\\n throw Exception(\\\"Feed with id $id not found\\\");\\n }\\n\\n void removeFeed(Feed feed) {\\n _feeds.removeWhere((f) => f.id == feed.id);\\n save();\\n notifyListeners();\\n }\\n\\n void setApplicationStorageLocation(String path) {\\n _applicationStorageLocation = path;\\n save();\\n notifyListeners();\\n }\\n\\n}\\n\\nclass Feed {\\n\\n final int id;\\n final String url;\\n final String title;\\n final bool enabled;\\n\\n Feed({int? id, required this.url, required this.title, this.enabled = true}) : id = id ?? (url.hashCode ^ title.hashCode);\\n\\n Feed.fromJson(Map json)\\n : id = json['id'] ?? (json['url'].hashCode ^ json['title'].hashCode),\\n url = json['url'],\\n title = json['title'],\\n enabled = json['enabled'] ?? true;\\n\\n Map toJson() => {\\n 'id': id,\\n 'url': url,\\n 'title': title,\\n 'enabled': enabled,\\n };\\n}\\n\"\n}",
"timestamp": "2026-04-15T13:58:22.676924Z"
},
{
"role": "tool",
"content": "Write result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart has been updated successfully.",
"timestamp": "2026-04-15T13:58:22.679677Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart\",\n \"old_string\": \"import 'package:shared_preferences/shared_preferences.dart';\\nimport 'package:uid/uid.dart';\\nimport 'package:path_provider/path_provider.dart';\\n\",\n \"new_string\": \"import 'package:shared_preferences/shared_preferences.dart';\\nimport 'package:path_provider/path_provider.dart';\\n\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T13:58:25.573715Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart has been updated successfully.",
"timestamp": "2026-04-15T13:58:25.578448Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/settings.dart\",\n \"old_string\": \" TextField(\\n placeholder: Text(\\n \\\"Enter your OpenAI API key\\\"\\n ),\\n initialValue: apiKey.substring(0, 8) + \\\"xxxxxx (Redacted for security)\\\" ,\\n onChanged: (value) {\\n SettingsProvider settings = SettingsProvider.of(context);\\n \\n settings.setOpenAIApiKey(value);\\n },\\n ),\\n\",\n \"new_string\": \" TextField(\\n placeholder: Text(\\n \\\"Enter your OpenAI API key\\\"\\n ),\\n initialValue: apiKey.isEmpty\\n ? ''\\n : '${apiKey.substring(0, apiKey.length >= 8 ? 8 : apiKey.length)}xxxxxx (Redacted for security)',\\n onChanged: (value) {\\n SettingsProvider settings = SettingsProvider.of(context);\\n \\n settings.setOpenAIApiKey(value);\\n },\\n ),\\n\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T13:58:29.740473Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/pages/settings.dart has been updated successfully.",
"timestamp": "2026-04-15T13:58:29.744853Z"
},
{
"role": "tool",
"content": "Bash call\n{\n \"command\": \"cd /Users/imbenji/StudioProjects/capstone_project && flutter analyze\",\n \"timeout\": 120000,\n \"cwd\": \"/Users/imbenji/StudioProjects/capstone_project\"\n}",
"timestamp": "2026-04-15T13:58:32.088629Z"
},
{
"role": "tool",
"content": "Bash result\nResolving dependencies...\nDownloading packages...\n async 2.13.0 (2.13.1 available)\n cross_file 0.3.4+2 (0.3.5+2 available)\n cupertino_icons 1.0.8 (1.0.9 available)\n dbus 0.7.11 (0.7.12 available)\n ffi 2.1.4 (2.2.0 available)\n file_picker 10.3.7 (11.0.2 available)\n flutter_plugin_android_lifecycle 2.0.33 (2.0.34 available)\n go_router 16.2.4 (17.2.1 available)\n http 1.5.0 (1.6.0 available)\n jovial_misc 0.9.2 (0.10.0 available)\n jovial_svg 1.1.28 (1.1.29 available)\n lints 6.0.0 (6.1.0 available)\n> matcher 0.12.19 (was 0.12.18)\n meta 1.18.0 (1.18.2 available)\n path_provider_android 2.2.22 (2.3.1 available)\n path_provider_foundation 2.5.1 (2.6.0 available)\n petitparser 7.0.1 (7.0.2 available)\n shared_preferences 2.5.4 (2.5.5 available)\n shared_preferences_android 2.4.18 (2.4.23 available)\n shared_preferences_platform_interface 2.4.1 (2.4.2 available)\n skeletonizer 2.1.0+1 (2.1.3 available)\n source_span 1.10.1 (1.10.2 available)\n> test_api 0.7.10 (was 0.7.9) (0.7.11 available)\n vector_math 2.2.0 (2.3.0 available)\n win32 5.14.0 (6.0.1 available)\nChanged 2 dependencies!\n24 packages have newer versions incompatible with dependency constraints.\nTry `flutter pub outdated` for more information.\nAnalyzing capstone_project... \n\n info • Don't invoke 'print' in production code • lib/pages/home.dart:191:7 • avoid_print\n info • Don't invoke 'print' in production code • lib/pages/home.dart:208:5 • avoid_print\n info • Constructors for public widgets should have a named 'key' parameter • lib/pages/settings.dart:9:7 • use_key_in_widget_constructors\n info • The 'child' argument should be last in widget constructor invocations • lib/pages/settings.dart:192:41 • sort_child_properties_last\n info • Don't use 'BuildContext's across async gaps • lib/pages/settings.dart:290:77 • use_build_context_synchronously\nwarning • This class (or a class that this class inherits from) is marked as '@immutable', but one or more of its instance fields aren't final: AddFeedDialog.existingFeed, AddFeedDialog.feedTitleKey, AddFeedDialog.feedUrlKey • lib/pages/settings.dart:330:7 • must_be_immutable\n info • The variable name '_OPENAI_API_KEY' isn't a lowerCamelCase identifier • lib/providers/settings.dart:11:10 • non_constant_identifier_names\n info • The constant name 'KEYWORDS' isn't a lowerCamelCase identifier • lib/utils/agrigator.dart:7:14 • constant_identifier_names\n info • The variable name 'KEYWORD_EMBEDDINGS' isn't a lowerCamelCase identifier • lib/utils/agrigator.dart:8:15 • non_constant_identifier_names\n info • Don't invoke 'print' in production code • lib/utils/agrigator.dart:125:7 • avoid_print\n info • Don't invoke 'print' in production code • lib/utils/agrigator.dart:155:5 • avoid_print\n info • Don't invoke 'print' in production code • lib/utils/agrigator.dart:186:5 • avoid_print\n info • Don't invoke 'print' in production code • lib/utils/signal_generator.dart:45:7 • avoid_print\n error • The method 'Badge' isn't defined for the type 'EventSignalCard' • lib/widgets/event_signal_card.dart:26:15 • undefined_method\n\n\n14 issues found. (ran in 5.2s)\n\nExit code: 1",
"timestamp": "2026-04-15T13:58:49.663710Z"
},
{
"role": "tool",
"content": "Grep call\n{\n \"pattern\": \"\\\\bBadge\\\\b|DestructiveBadge|PrimaryBadge|SecondaryBadge|OutlineBadge\",\n \"path\": \"/Users/imbenji/StudioProjects/capstone_project/lib\",\n \"glob\": \"**/*.dart\",\n \"output_mode\": \"content\"\n}",
"timestamp": "2026-04-15T13:58:53.273241Z"
},
{
"role": "tool",
"content": "Grep result\npages/home.dart:68: DestructiveBadge(\npages/settings.dart:111: DestructiveBadge(\nwidgets/event_signal_card.dart:26: Badge(",
"timestamp": "2026-04-15T13:58:53.279659Z"
},
{
"role": "tool",
"content": "Grep call\n{\n \"pattern\": \"LinearProgressIndicator\\\\(\",\n \"path\": \"/Users/imbenji/StudioProjects/capstone_project/lib\",\n \"glob\": \"**/*.dart\",\n \"output_mode\": \"content\"\n}",
"timestamp": "2026-04-15T13:58:53.279711Z"
},
{
"role": "tool",
"content": "Grep result\npages/home.dart:63: child: LinearProgressIndicator(),\nwidgets/event_signal_card.dart:37: child: LinearProgressIndicator(",
"timestamp": "2026-04-15T13:58:53.284804Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/widgets/event_signal_card.dart\",\n \"old_string\": \" Row(\\n children: [\\n Expanded(\\n child: Text(signal.eventSummary).semiBold.large,\\n ),\\n Badge(\\n style: const ButtonStyle.primary(),\\n child: Text(signal.signal),\\n ),\\n ],\\n ),\\n\",\n \"new_string\": \" Row(\\n children: [\\n Expanded(\\n child: Text(signal.eventSummary).semiBold.large,\\n ),\\n Container(\\n padding: const EdgeInsets.symmetric(horizontal: 10, vertical: 6),\\n decoration: BoxDecoration(\\n color: color,\\n borderRadius: BorderRadius.circular(999),\\n ),\\n child: Text(signal.signal).xSmall,\\n ),\\n ],\\n ),\\n\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T13:59:09.789532Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/widgets/event_signal_card.dart has been updated successfully.",
"timestamp": "2026-04-15T13:59:09.791205Z"
},
{
"role": "tool",
"content": "Bash call\n{\n \"command\": \"cd /Users/imbenji/StudioProjects/capstone_project && flutter analyze\",\n \"timeout\": 120000,\n \"cwd\": \"/Users/imbenji/StudioProjects/capstone_project\"\n}",
"timestamp": "2026-04-15T13:59:11.996785Z"
},
{
"role": "tool",
"content": "Bash result\nAnalyzing capstone_project... \n\n info • Don't invoke 'print' in production code • lib/pages/home.dart:191:7 • avoid_print\n info • Don't invoke 'print' in production code • lib/pages/home.dart:208:5 • avoid_print\n info • Constructors for public widgets should have a named 'key' parameter • lib/pages/settings.dart:9:7 • use_key_in_widget_constructors\n info • The 'child' argument should be last in widget constructor invocations • lib/pages/settings.dart:192:41 • sort_child_properties_last\n info • Don't use 'BuildContext's across async gaps • lib/pages/settings.dart:290:77 • use_build_context_synchronously\nwarning • This class (or a class that this class inherits from) is marked as '@immutable', but one or more of its instance fields aren't final: AddFeedDialog.existingFeed, AddFeedDialog.feedTitleKey, AddFeedDialog.feedUrlKey • lib/pages/settings.dart:330:7 • must_be_immutable\n info • The variable name '_OPENAI_API_KEY' isn't a lowerCamelCase identifier • lib/providers/settings.dart:11:10 • non_constant_identifier_names\n info • The constant name 'KEYWORDS' isn't a lowerCamelCase identifier • lib/utils/agrigator.dart:7:14 • constant_identifier_names\n info • The variable name 'KEYWORD_EMBEDDINGS' isn't a lowerCamelCase identifier • lib/utils/agrigator.dart:8:15 • non_constant_identifier_names\n info • Don't invoke 'print' in production code • lib/utils/agrigator.dart:125:7 • avoid_print\n info • Don't invoke 'print' in production code • lib/utils/agrigator.dart:155:5 • avoid_print\n info • Don't invoke 'print' in production code • lib/utils/agrigator.dart:186:5 • avoid_print\n info • Don't invoke 'print' in production code • lib/utils/signal_generator.dart:45:7 • avoid_print\n\n\n13 issues found. (ran in 3.0s)\n\nExit code: 1",
"timestamp": "2026-04-15T13:59:44.270795Z"
},
{
"role": "tool",
"content": "Bash call\n{\n \"command\": \"cd /Users/imbenji/StudioProjects/capstone_project && flutter test\",\n \"timeout\": 120000,\n \"cwd\": \"/Users/imbenji/StudioProjects/capstone_project\"\n}",
"timestamp": "2026-04-15T13:59:47.752607Z"
},
{
"role": "tool",
"content": "Bash result\n00:00 +0: loading /Users/imbenji/StudioProjects/capstone_project/test/widget_test.dart\n00:00 +0: Counter increments smoke test\n══╡ EXCEPTION CAUGHT BY FLUTTER TEST FRAMEWORK ╞════════════════════════════════════════════════════\nThe following TestFailure was thrown running a test:\nExpected: exactly one matching candidate\n Actual: _TextWidgetFinder:\n Which: means none were found but one was expected\n\nWhen the exception was thrown, this was the stack:\n#4 main. (file:///Users/imbenji/StudioProjects/capstone_project/test/widget_test.dart:19:5)\n\n#5 testWidgets.. (package:flutter_test/src/widget_tester.dart:192:15)\n\n#6 TestWidgetsFlutterBinding._runTestBody (package:flutter_test/src/binding.dart:1800:5)\n\n\n(elided one frame from package:stack_trace)\n\nThis was caught by the test expectation on the following line:\n file:///Users/imbenji/StudioProjects/capstone_project/test/widget_test.dart line 19\nThe test description was:\n Counter increments smoke test\n════════════════════════════════════════════════════════════════════════════════════════════════════\n00:00 +0 -1: Counter increments smoke test [E]\n Test failed. See exception logs above.\n The test description was: Counter increments smoke test\n \n00:00 +0 -1: Some tests failed.\n\nExit code: 1",
"timestamp": "2026-04-15T13:59:59.280610Z"
},
{
"role": "tool",
"content": "Write call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/test/widget_test.dart\",\n \"content\": \"import 'package:capstone_project/pages/home.dart';\\nimport 'package:flutter_test/flutter_test.dart';\\nimport 'package:shadcn_flutter/shadcn_flutter.dart';\\n\\nvoid main() {\\n testWidgets('home page shows app title and action button', (WidgetTester tester) async {\\n await tester.pumpWidget(\\n const ShadcnApp(\\n home: HomePage(),\\n ),\\n );\\n\\n expect(find.text('Augor'), findsOneWidget);\\n expect(find.text('Aggregate your feeds'), findsOneWidget);\\n });\\n}\\n\"\n}",
"timestamp": "2026-04-15T14:00:02.765621Z"
},
{
"role": "tool",
"content": "Write result\nThe file /Users/imbenji/StudioProjects/capstone_project/test/widget_test.dart has been updated successfully.",
"timestamp": "2026-04-15T14:00:02.768392Z"
},
{
"role": "tool",
"content": "Bash call\n{\n \"command\": \"cd /Users/imbenji/StudioProjects/capstone_project && flutter test\",\n \"timeout\": 120000,\n \"cwd\": \"/Users/imbenji/StudioProjects/capstone_project\"\n}",
"timestamp": "2026-04-15T14:00:05.061713Z"
},
{
"role": "tool",
"content": "Bash result\n00:00 +0: loading /Users/imbenji/StudioProjects/capstone_project/test/widget_test.dart\n00:00 +0: home page shows app title and action button\n00:00 +1: All tests passed!\n",
"timestamp": "2026-04-15T14:00:19.691472Z"
},
{
"role": "tool",
"content": "Bash call\n{\n \"command\": \"cd /Users/imbenji/StudioProjects/capstone_project && flutter run -d macos\",\n \"timeout\": 1000,\n \"cwd\": \"/Users/imbenji/StudioProjects/capstone_project\"\n}",
"timestamp": "2026-04-15T14:00:22.311421Z"
},
{
"role": "tool",
"content": "Bash result\nError executing Bash: TimeoutException after 0:00:01.000000: Command timed out after 1000ms",
"timestamp": "2026-04-15T14:00:26.960585Z"
},
{
"role": "tool",
"content": "ExecuteTask call\n{\n \"action\": \"execute\",\n \"task_id\": \"flutter-run-macos\",\n \"command\": \"flutter\",\n \"arguments\": [\n \"run\",\n \"-d\",\n \"macos\"\n ],\n \"process_id\": \"\",\n \"force\": false,\n \"working_directory\": \"/Users/imbenji/StudioProjects/capstone_project\"\n}",
"timestamp": "2026-04-15T14:00:29.166668Z"
},
{
"role": "tool",
"content": "ExecuteTask result\nPermission denied by user.",
"timestamp": "2026-04-15T14:00:38.194242Z"
},
{
"role": "assistant",
"content": "Yes. I’ve already moved the project into a usable MVP state.\n\nWhat I finished:\n- Added event signal model: `lib/models/event_signal.dart:1`\n- Added LLM signal generation per event cluster: `lib/utils/signal_generator.dart:1`\n- Rebuilt home page into an actual pipeline UI with status, results, and JSON export: `lib/pages/home.dart:1`\n- Added signal result cards: `lib/widgets/event_signal_card.dart:1`\n- Fixed feed identity so editing feeds does not break updates: `lib/providers/settings.dart:191`\n- Fixed disabled feeds being ignored by the pipeline: `lib/pages/home.dart:91`\n- Fixed the API key settings crash on empty key: `lib/pages/settings.dart:94`\n- Replaced the default broken Flutter test with an app-specific smoke test: `test/widget_test.dart:1`\n\nOutputs now include:\n- `signals.json`\n- plus the existing aggregated/enriched/relevant/grouped JSON files\n\nValidation:\n- `flutter test` passes\n- `flutter analyze` still has existing lint warnings/info, but no blocking compile error from the MVP work\n\nImportant caveat:\n- I could not complete the required desktop UI run-through because launching `flutter run -d macos` was denied by permissions. So I have not verified the live UI in the macOS app.\n\nAlso important:\n- The OpenAI chat call currently uses `gpt-4.1-mini` in `lib/utils/signal_generator.dart:23`\n- The custom OpenAI client does not yet enforce JSON response mode at the API level; it currently parses the returned text into JSON manually\n\nIf you want this actually demo-ready today, the next highest-value step is to let me run the macOS app so I can smoke-test the UI and fix any runtime issues. Use:\n`! flutter run -d macos`\n\nThen I can finish the last mile fast.",
"timestamp": "2026-04-15T14:00:40.411394Z",
"contextTokens": 43111,
"cost": 0.016786
},
{
"role": "user",
"content": "Can we switch to using open router",
"timestamp": "2026-04-15T14:59:59.651235Z"
},
{
"role": "tool",
"content": "Advisor call\n{\n \"model\": \"anthropic/claude-sonnet-4.6\"\n}",
"timestamp": "2026-04-15T15:00:04.688864Z"
},
{
"role": "tool",
"content": "Advisor result\nLet me read the current OpenAI client and signal generator first.\n\n**`lib/utils/openai.dart`**\n\n**`lib/utils/signal_generator.dart`**\n\n**`lib/utils/agrigator.dart`** (to see where embeddings are called)\n\n**`lib/providers/settings.dart`** (to see how API key is stored)",
"timestamp": "2026-04-15T15:00:14.506135Z"
},
{
"role": "assistant",
"content": "I’m checking the current client and call sites, then I’ll switch it cleanly.",
"timestamp": "2026-04-15T15:00:16.489099Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/utils/openai.dart\",\n \"offset\": 1,\n \"limit\": 300\n}",
"timestamp": "2026-04-15T15:00:18.014694Z"
},
{
"role": "tool",
"content": "Read result\n2\timport 'dart:convert';\n3\timport 'package:http/http.dart' as http;\n4\t\n5\t/// OpenAI API client for Dart\n6\tclass OpenAI {\n7\t final String apiKey;\n8\t final String baseUrl;\n9\t final http.Client _client;\n10\t\n11\t OpenAI({\n12\t required this.apiKey,\n13\t this.baseUrl = 'https://api.openai.com/v1',\n14\t http.Client? client,\n15\t }) : _client = client ?? http.Client();\n16\t\n17\t /// Access to chat completions API\n18\t ChatCompletions get chat => ChatCompletions(this);\n19\t\n20\t /// Access to embeddings API\n21\t Embeddings get embeddings => Embeddings(this);\n22\t\n23\t void dispose() {\n24\t _client.close();\n25\t }\n26\t}\n27\t\n28\t/// Chat completions API\n29\tclass ChatCompletions {\n30\t final OpenAI _openai;\n31\t\n32\t ChatCompletions(this._openai);\n33\t\n34\t /// Access to completions endpoint\n35\t Completions get completions => Completions(_openai);\n36\t}\n37\t\n38\t/// Completions endpoint\n39\tclass Completions {\n40\t final OpenAI _openai;\n41\t\n42\t Completions(this._openai);\n43\t\n44\t /// Create a chat completion\n45\t ///\n46\t /// If [stream] is true, returns a Stream of ChatCompletionChunk\n47\t /// If [stream] is false, returns a single ChatCompletion\n48\t Future create({\n49\t required String model,\n50\t required List messages,\n51\t bool stream = false,\n52\t StreamOptions? streamOptions,\n53\t double? temperature,\n54\t double? topP,\n55\t int? n,\n56\t List? stop,\n57\t int? maxTokens,\n58\t double? presencePenalty,\n59\t double? frequencyPenalty,\n60\t Map? logitBias,\n61\t String? user,\n62\t }) async {\n63\t final body = {\n64\t 'model': model,\n65\t 'messages': messages,\n66\t 'stream': stream,\n67\t if (streamOptions != null) 'stream_options': streamOptions.toJson(),\n68\t if (temperature != null) 'temperature': temperature,\n69\t if (topP != null) 'top_p': topP,\n70\t if (n != null) 'n': n,\n71\t if (stop != null) 'stop': stop,\n72\t if (maxTokens != null) 'max_tokens': maxTokens,\n73\t if (presencePenalty != null) 'presence_penalty': presencePenalty,\n74\t if (frequencyPenalty != null) 'frequency_penalty': frequencyPenalty,\n75\t if (logitBias != null) 'logit_bias': logitBias,\n76\t if (user != null) 'user': user,\n77\t };\n78\t\n79\t if (stream) {\n80\t return _streamCompletion(body);\n81\t } else {\n82\t return _createCompletion(body);\n83\t }\n84\t }\n85\t\n86\t Future _createCompletion(Map body) async {\n87\t final response = await _openai._client.post(\n88\t Uri.parse('${_openai.baseUrl}/chat/completions'),\n89\t headers: {\n90\t 'Content-Type': 'application/json',\n91\t 'Authorization': 'Bearer ${_openai.apiKey}',\n92\t },\n93\t body: jsonEncode(body),\n94\t );\n95\t\n96\t if (response.statusCode != 200) {\n97\t throw OpenAIException(\n98\t statusCode: response.statusCode,\n99\t message: response.body,\n100\t );\n101\t }\n102\t\n103\t return ChatCompletion.fromJson(jsonDecode(response.body));\n104\t }\n105\t\n106\t Stream _streamCompletion(\n107\t Map body) async* {\n108\t final request = http.Request(\n109\t 'POST',\n110\t Uri.parse('${_openai.baseUrl}/chat/completions'),\n111\t );\n112\t\n113\t request.headers.addAll({\n114\t 'Content-Type': 'application/json',\n115\t 'Authorization': 'Bearer ${_openai.apiKey}',\n116\t });\n117\t\n118\t request.body = jsonEncode(body);\n119\t\n120\t final streamedResponse = await _openai._client.send(request);\n121\t\n122\t if (streamedResponse.statusCode != 200) {\n123\t final body = await streamedResponse.stream.bytesToString();\n124\t throw OpenAIException(\n125\t statusCode: streamedResponse.statusCode,\n126\t message: body,\n127\t );\n128\t }\n129\t\n130\t final stream = streamedResponse.stream\n131\t .transform(utf8.decoder)\n132\t .transform(const LineSplitter());\n133\t\n134\t await for (final line in stream) {\n135\t if (line.isEmpty) continue;\n136\t if (line.startsWith(':')) continue; // Skip comments\n137\t if (!line.startsWith('data: ')) continue;\n138\t\n139\t final data = line.substring(6); // Remove 'data: ' prefix\n140\t\n141\t if (data == '[DONE]') {\n142\t break;\n143\t }\n144\t\n145\t try {\n146\t final json = jsonDecode(data);\n147\t yield ChatCompletionChunk.fromJson(json);\n148\t } catch (e) {\n149\t // Skip malformed chunks\n150\t continue;\n151\t }\n152\t }\n153\t }\n154\t}\n155\t\n156\t/// Chat message\n157\tclass ChatMessage {\n158\t final String role;\n159\t final String content;\n160\t\n161\t ChatMessage({\n162\t required this.role,\n163\t required this.content,\n164\t });\n165\t\n166\t Map toJson() => {\n167\t 'role': role,\n168\t 'content': content,\n169\t };\n170\t\n171\t factory ChatMessage.fromJson(Map json) => ChatMessage(\n172\t role: json['role'],\n173\t content: json['content'],\n174\t );\n175\t\n176\t factory ChatMessage.system(String content) =>\n177\t ChatMessage(role: 'system', content: content);\n178\t\n179\t factory ChatMessage.user(String content) =>\n180\t ChatMessage(role: 'user', content: content);\n181\t\n182\t factory ChatMessage.assistant(String content) =>\n183\t ChatMessage(role: 'assistant', content: content);\n184\t}\n185\t\n186\t/// Stream options\n187\tclass StreamOptions {\n188\t final bool includeUsage;\n189\t\n190\t StreamOptions({this.includeUsage = false});\n191\t\n192\t Map toJson() => {\n193\t 'include_usage': includeUsage,\n194\t };\n195\t}\n196\t\n197\t/// Chat completion response (non-streaming)\n198\tclass ChatCompletion {\n199\t final String id;\n200\t final String object;\n201\t final int created;\n202\t final String model;\n203\t final List choices;\n204\t final Usage? usage;\n205\t\n206\t ChatCompletion({\n207\t required this.id,\n208\t required this.object,\n209\t required this.created,\n210\t required this.model,\n211\t required this.choices,\n212\t this.usage,\n213\t });\n214\t\n215\t factory ChatCompletion.fromJson(Map json) => ChatCompletion(\n216\t id: json['id'],\n217\t object: json['object'],\n218\t created: json['created'],\n219\t model: json['model'],\n220\t choices: (json['choices'] as List)\n221\t .map((c) => Choice.fromJson(c))\n222\t .toList(),\n223\t usage: json['usage'] != null ? Usage.fromJson(json['usage']) : null,\n224\t );\n225\t}\n226\t\n227\t/// Chat completion chunk (streaming)\n228\tclass ChatCompletionChunk {\n229\t final String id;\n230\t final String object;\n231\t final int created;\n232\t final String model;\n233\t final List choices;\n234\t final Usage? usage;\n235\t\n236\t ChatCompletionChunk({\n237\t required this.id,\n238\t required this.object,\n239\t required this.created,\n240\t required this.model,\n241\t required this.choices,\n242\t this.usage,\n243\t });\n244\t\n245\t factory ChatCompletionChunk.fromJson(Map json) =>\n246\t ChatCompletionChunk(\n247\t id: json['id'],\n248\t object: json['object'],\n249\t created: json['created'],\n250\t model: json['model'],\n251\t choices: (json['choices'] as List)\n252\t .map((c) => ChunkChoice.fromJson(c))\n253\t .toList(),\n254\t usage: json['usage'] != null ? Usage.fromJson(json['usage']) : null,\n255\t );\n256\t}\n257\t\n258\t/// Choice in non-streaming response\n259\tclass Choice {\n260\t final int index;\n261\t final ChatMessage message;\n262\t final String? finishReason;\n263\t\n264\t Choice({\n265\t required this.index,\n266\t required this.message,\n267\t this.finishReason,\n268\t });\n269\t\n270\t factory Choice.fromJson(Map json) => Choice(\n271\t index: json['index'],\n272\t message: ChatMessage.fromJson(json['message']),\n273\t finishReason: json['finish_reason'],\n274\t );\n275\t}\n276\t\n277\t/// Choice in streaming response\n278\tclass ChunkChoice {\n279\t final int index;\n280\t final Delta? delta;\n281\t final String? finishReason;\n282\t\n283\t ChunkChoice({\n284\t required this.index,\n285\t this.delta,\n286\t this.finishReason,\n287\t });\n288\t\n289\t factory ChunkChoice.fromJson(Map json) => ChunkChoice(\n290\t index: json['index'],\n291\t delta: json['delta'] != null ? Delta.fromJson(json['delta']) : null,\n292\t finishReason: json['finish_reason'],\n293\t );\n294\t}\n295\t\n296\t/// Delta content in streaming chunks\n297\tclass Delta {\n298\t final String? role;\n299\t final String? content;\n300\t\n301\t Delta({\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T15:00:18.404744Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/utils/signal_generator.dart\",\n \"offset\": 1,\n \"limit\": 300\n}",
"timestamp": "2026-04-15T15:00:18.405059Z"
},
{
"role": "tool",
"content": "Read result\n2\t\n3\timport 'package:capstone_project/models/event_signal.dart';\n4\timport 'package:capstone_project/utils/agrigator.dart';\n5\timport 'package:capstone_project/utils/openai.dart';\n6\t\n7\tclass SignalGenerator {\n8\t final String apiKey;\n9\t\n10\t SignalGenerator({required this.apiKey});\n11\t\n12\t Future> generateSignals(List> clusters) async {\n13\t final filteredClusters = clusters.where((cluster) => cluster.isNotEmpty).toList();\n14\t\n15\t final results = await Future.wait(\n16\t filteredClusters.map((cluster) => generateSignal(cluster)),\n17\t );\n18\t\n19\t results.sort((a, b) => b.probability.compareTo(a.probability));\n20\t return results;\n21\t }\n22\t\n23\t Future generateSignal(List articles) async {\n24\t final openai = OpenAI(apiKey: apiKey);\n25\t\n26\t try {\n27\t final response = await openai.chat.completions.create(\n28\t model: 'gpt-4.1-mini',\n29\t messages: [\n30\t ChatMessage.system(\n31\t 'You analyze clusters of business and finance news articles. '\n32\t 'Return only valid JSON with keys event_summary, signal, probability, confidence, rationale. '\n33\t 'Signal must be one of growth, decline, neutral. '\n34\t 'Probability and confidence must be numbers between 0 and 1.',\n35\t ).toJson(),\n36\t ChatMessage.user(_buildPrompt(articles)).toJson(),\n37\t ],\n38\t temperature: 0.2,\n39\t ) as ChatCompletion;\n40\t\n41\t final rawContent = response.choices.first.message.content.trim();\n42\t final parsed = jsonDecode(_extractJson(rawContent)) as Map;\n43\t return EventSignal.fromJson(parsed, articles);\n44\t } catch (e) {\n45\t print('Error generating signal: $e');\n46\t return EventSignal(\n47\t eventSummary: _fallbackSummary(articles),\n48\t signal: 'neutral',\n49\t probability: 0.0,\n50\t confidence: 0.0,\n51\t rationale: 'Signal generation failed.',\n52\t articles: articles,\n53\t );\n54\t } finally {\n55\t openai.dispose();\n56\t }\n57\t }\n58\t\n59\t String _buildPrompt(List articles) {\n60\t final buffer = StringBuffer();\n61\t buffer.writeln('Analyze this business or financial news event cluster.');\n62\t buffer.writeln('Determine whether it indicates growth, decline, or neutral market impact.');\n63\t buffer.writeln('Return JSON only.');\n64\t buffer.writeln();\n65\t buffer.writeln('Articles:');\n66\t\n67\t for (int i = 0; i < articles.length; i++) {\n68\t final article = articles[i];\n69\t buffer.writeln('${i + 1}. Title: ${article.title}');\n70\t buffer.writeln(' Description: ${article.description}');\n71\t buffer.writeln(' Link: ${article.link}');\n72\t }\n73\t\n74\t buffer.writeln();\n75\t buffer.writeln('Required JSON format:');\n76\t buffer.writeln('{');\n77\t buffer.writeln(' \"event_summary\": \"short description of the event\",');\n78\t buffer.writeln(' \"signal\": \"growth | decline | neutral\",');\n79\t buffer.writeln(' \"probability\": 0.0,');\n80\t buffer.writeln(' \"confidence\": 0.0,');\n81\t buffer.writeln(' \"rationale\": \"brief explanation\"');\n82\t buffer.writeln('}');\n83\t\n84\t return buffer.toString();\n85\t }\n86\t\n87\t String _extractJson(String content) {\n88\t final start = content.indexOf('{');\n89\t final end = content.lastIndexOf('}');\n90\t\n91\t if (start == -1 || end == -1 || end < start) {\n92\t throw const FormatException('No JSON object found in model response.');\n93\t }\n94\t\n95\t return content.substring(start, end + 1);\n96\t }\n97\t\n98\t String _fallbackSummary(List articles) {\n99\t if (articles.isEmpty) {\n100\t return 'Unknown event';\n101\t }\n102\t\n103\t return articles.first.title;\n104\t }\n105\t}\n106\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T15:00:18.405798Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/utils/agrigator.dart\",\n \"offset\": 1,\n \"limit\": 400\n}",
"timestamp": "2026-04-15T15:00:18.405836Z"
},
{
"role": "tool",
"content": "Read result\n2\t\n3\timport 'package:http/http.dart' as http;\n4\timport 'package:xml/xml.dart';\n5\timport 'openai.dart';\n6\t\n7\tconst String KEYWORDS = \"Business news corporate earnings revenue profit stock market trading equity shares NYSE NASDAQ stock prices quarterly results annual reports CEO announcements executive leadership management changes board directors company strategy mergers acquisitions takeovers buyouts partnerships joint ventures business deals IPO initial public offerings venture capital funding investment rounds valuation startup unicorn enterprise technology product launches innovation R&D research development market expansion international business global markets trade agreements tariffs import export supply chain logistics manufacturing production operations facilities factories plants workforce hiring layoffs restructuring downsizing labor unions strikes employee relations workplace compensation benefits corporate governance shareholder activism proxy fights dividends stock buybacks analyst ratings price targets market capitalization revenue growth profit margins EBITDA cash flow debt financing credit ratings bonds corporate strategy competitive advantage market share industry trends sector analysis retail consumer goods e-commerce technology software hardware semiconductors pharmaceuticals biotech healthcare energy oil gas renewables automotive electric vehicles aerospace defense banking financial services insurance real estate construction infrastructure telecommunications media entertainment streaming gaming hospitality travel transportation logistics shipping airlines regulatory compliance antitrust competition policy lawsuits litigation settlements data breaches cybersecurity intellectual property patents trademarks brand value customer acquisition market positioning business models revenue streams profitability sustainability ESG environmental social governance\";\n8\tList? KEYWORD_EMBEDDINGS;\n9\t\n10\tclass FeedItem {\n11\t final String title;\n12\t final String description;\n13\t final String link;\n14\t List? embedding;\n15\t\n16\t FeedItem({\n17\t required this.title,\n18\t required this.description,\n19\t required this.link,\n20\t this.embedding,\n21\t });\n22\t\n23\t @override\n24\t String toString() {\n25\t return \"FeedItem(title: $title, link: $link)\";\n26\t }\n27\t\n28\t FeedItem.fromJson(Map json)\n29\t : title = json[\"title\"],\n30\t description = json[\"description\"],\n31\t link = json[\"link\"],\n32\t embedding = json[\"embedding\"] != null\n33\t ? (json[\"embedding\"] as List).map((e) => (e as num).toDouble()).toList()\n34\t : null;\n35\t\n36\t Map toJson() {\n37\t return {\n38\t \"title\": title,\n39\t \"description\": description,\n40\t \"link\": link,\n41\t if (embedding != null) \"embedding\": embedding,\n42\t };\n43\t }\n44\t\n45\t}\n46\t\n47\tList parseRssFeed(String rssXml) {\n48\t final document = XmlDocument.parse(rssXml);\n49\t\n50\t // find items in the RSS structre\n51\t final items = document.findAllElements(\"item\");\n52\t\n53\t return items.map((item) {\n54\t final title = item.findElements(\"title\").firstOrNull?.innerText.trim() ?? \"Untitled\";\n55\t final link = item.findElements(\"link\").firstOrNull?.innerText ?? \"\";\n56\t final description = item.findElements(\"description\").firstOrNull?.innerText.trim() ?? \"\";\n57\t\n58\t\n59\t return FeedItem(\n60\t title: title,\n61\t link: link,\n62\t description: description,\n63\t );\n64\t }).toList();\n65\t}\n66\t\n67\tList parseAtomFeed(String atomXml) {\n68\t final document = XmlDocument.parse(atomXml);\n69\t\n70\t // find entrys in atom feed\n71\t final entries = document.findAllElements(\"entry\");\n72\t\n73\t return entries.map((entry) {\n74\t final title = entry.findElements(\"title\").firstOrNull?.innerText.trim() ?? \"Untitled\";\n75\t final linkElement = entry.findElements(\"link\").firstOrNull;\n76\t final link = linkElement?.getAttribute(\"href\") ?? \"\";\n77\t final summary = entry.findElements(\"summary\").firstOrNull?.innerText.trim();\n78\t final content = entry.findElements(\"content\").firstOrNull?.innerText.trim();\n79\t\n80\t final description = (summary ?? content ?? \"\").trim();\n81\t\n82\t return FeedItem(\n83\t title: title,\n84\t link: link,\n85\t description: description,\n86\t );\n87\t }).toList();\n88\t}\n89\t\n90\tList parseFeed(String feedXml) {\n91\t final document = XmlDocument.parse(feedXml);\n92\t\n93\t // Check if it's an Atom feed\n94\t if (document.findAllElements('feed').isNotEmpty) {\n95\t return parseAtomFeed(feedXml);\n96\t }\n97\t\n98\t // Check if it's an RSS feed\n99\t if (document.findAllElements('rss').isNotEmpty ||\n100\t document.findAllElements('channel').isNotEmpty) {\n101\t return parseRssFeed(feedXml);\n102\t }\n103\t\n104\t // Unknown feed format\n105\t throw FormatException('Unknown feed format. Expected RSS or Atom.');\n106\t}\n107\t\n108\tFuture> fetchFeed(Uri feedUri) async {\n109\t final response = await http.get(feedUri);\n110\t\n111\t\n112\t if (response.statusCode != 200) {\n113\t throw Exception(\"Failed to fetch feed: ${response.statusCode}\");\n114\t }\n115\t\n116\t // parse the XML response\n117\t return parseFeed(response.body);\n118\t}\n119\t\n120\tFuture> fetchFeeds(List feedUris) async {\n121\t List allItems = [];\n122\t\n123\t final results = await Future.wait(\n124\t feedUris.map((uri) => fetchFeed(uri).catchError((e) {\n125\t print(\"Error fetching feed $uri: $e\");\n126\t return [];\n127\t }))\n128\t );\n129\t\n130\t for (final items in results) {\n131\t allItems.addAll(items);\n132\t }\n133\t\n134\t return allItems;\n135\t}\n136\t\n137\t\n138\t// generete embeddng for a feed item\n139\tFuture generateEmbedding(FeedItem item, String apiKey) async {\n140\t final openai = OpenAI(apiKey: apiKey);\n141\t\n142\t // combine tittle and descriptin\n143\t final textToEmbed = \"${item.title} ${item.description}\";\n144\t\n145\t try {\n146\t final response = await openai.embeddings.create(\n147\t model: \"text-embedding-3-small\",\n148\t input: textToEmbed,\n149\t );\n150\t\n151\t if (response.data.isNotEmpty) {\n152\t item.embedding = response.data.first.embedding;\n153\t }\n154\t } catch (e) {\n155\t print(\"Error generatng embedding: $e\");\n156\t } finally {\n157\t openai.dispose();\n158\t }\n159\t}\n160\t\n161\t// generate embedings for multiple feed items\n162\tFuture generateEmbeddings(List items, String apiKey) async {\n163\t await Future.wait(\n164\t items.map((item) => generateEmbedding(item, apiKey))\n165\t );\n166\t}\n167\t\n168\tFuture generateKeywordEmbeddings(String apiKey) async {\n169\t\n170\t if (KEYWORD_EMBEDDINGS != null) {\n171\t return; // already generated\n172\t }\n173\t\n174\t final openai = OpenAI(apiKey: apiKey);\n175\t\n176\t try {\n177\t final response = await openai.embeddings.create(\n178\t model: \"text-embedding-3-small\",\n179\t input: KEYWORDS,\n180\t );\n181\t\n182\t if (response.data.isNotEmpty) {\n183\t KEYWORD_EMBEDDINGS = response.data.first.embedding;\n184\t }\n185\t } catch (e) {\n186\t print(\"Error generating keyword embeddings: $e\");\n187\t } finally {\n188\t openai.dispose();\n189\t }\n190\t}\n191\t\n192\tbool isFeedItemRelevant(FeedItem item, [double threshold = 0.25]) {\n193\t if (item.embedding == null || KEYWORD_EMBEDDINGS == null) {\n194\t throw Exception(\"Embeddings not available for comparison.\");\n195\t }\n196\t\n197\t double similarity = cosineSimilarity(item.embedding!, KEYWORD_EMBEDDINGS!);\n198\t\n199\t return similarity >= threshold;\n200\t}\n201\t\n202\tdouble cosineSimilarity(List vecA, List vecB) {\n203\t if (vecA.length != vecB.length) {\n204\t throw ArgumentError(\"Vectors must be of the same length\");\n205\t }\n206\t\n207\t double dotProduct = 0.0;\n208\t double magnitudeA = 0.0;\n209\t double magnitudeB = 0.0;\n210\t\n211\t for (int i = 0; i < vecA.length; i++) {\n212\t dotProduct += vecA[i] * vecB[i];\n213\t magnitudeA += vecA[i] * vecA[i];\n214\t magnitudeB += vecB[i] * vecB[i];\n215\t }\n216\t\n217\t if (magnitudeA == 0 || magnitudeB == 0) {\n218\t return 0.0;\n219\t }\n220\t\n221\t return dotProduct / (sqrt(magnitudeA) * sqrt(magnitudeB));\n222\t}\n223\t\n224\tList> groupFeedItemsByEvent(List items, [double similarityThreshold = 0.7]) {\n225\t // Track which group each item belongs to and with what similarity\n226\t Map itemGrouping = {};\n227\t List> groupedItems = [];\n228\t\n229\t for (int i = 0; i < items.length; i++) {\n230\t // Create a new group with item i as the anchor\n231\t List currentGroup = [items[i]];\n232\t int currentGroupIndex = groupedItems.length;\n233\t\n234\t // item i belongs to its own group with similarity 1.0\n235\t itemGrouping[i] = (groupIndex: currentGroupIndex, similarity: 1.0);\n236\t\n237\t // Check all later items\n238\t for (int j = i + 1; j < items.length; j++) {\n239\t double similarity = cosineSimilarity(\n240\t items[i].embedding!,\n241\t items[j].embedding!,\n242\t );\n243\t\n244\t if (similarity >= similarityThreshold) {\n245\t // Check if j should join this group\n246\t if (!itemGrouping.containsKey(j)) {\n247\t // j hasn't been grouped yet, add it\n248\t currentGroup.add(items[j]);\n249\t itemGrouping[j] = (groupIndex: currentGroupIndex, similarity: similarity);\n250\t } else if (similarity > itemGrouping[j]!.similarity) {\n251\t // j is in another group but this is a better match\n252\t // Remove from old group\n253\t int oldGroupIndex = itemGrouping[j]!.groupIndex;\n254\t groupedItems[oldGroupIndex].remove(items[j]);\n255\t\n256\t // Add to this group\n257\t currentGroup.add(items[j]);\n258\t itemGrouping[j] = (groupIndex: currentGroupIndex, similarity: similarity);\n259\t }\n260\t }\n261\t }\n262\t\n263\t groupedItems.add(currentGroup);\n264\t }\n265\t\n266\t // Filter out empty groups (items may have been moved out)\n267\t return groupedItems.where((group) => group.isNotEmpty).toList();\n268\t}\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T15:00:18.808567Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart\",\n \"offset\": 1,\n \"limit\": 320\n}",
"timestamp": "2026-04-15T15:00:18.808753Z"
},
{
"role": "tool",
"content": "Read result\n2\timport 'dart:convert';\n3\timport 'package:flutter/material.dart';\n4\timport 'package:provider/provider.dart';\n5\timport 'package:shared_preferences/shared_preferences.dart';\n6\timport 'package:path_provider/path_provider.dart';\n7\timport 'dart:io';\n8\t\n9\tclass SettingsProvider extends ChangeNotifier {\n10\t\n11\t String _OPENAI_API_KEY = \"\";\n12\t String get openAIApiKey => _OPENAI_API_KEY;\n13\t\n14\t List _feeds = [\n15\t // Major Business News\n16\t Feed(\n17\t title: \"Business Insider\",\n18\t url: \"https://feeds.businessinsider.com/custom/all\"\n19\t ),\n20\t Feed(\n21\t title: \"BBC Business\",\n22\t url: \"https://feeds.bbci.co.uk/news/business/rss.xml\"\n23\t ),\n24\t Feed(\n25\t title: \"Reuters Business\",\n26\t url: \"https://www.reutersagency.com/feed/?taxonomy=best-topics&post_type=best\"\n27\t ),\n28\t Feed(\n29\t title: \"Financial Times\",\n30\t url: \"https://www.ft.com/?format=rss\"\n31\t ),\n32\t Feed(\n33\t title: \"Bloomberg\",\n34\t url: \"https://feeds.bloomberg.com/markets/news.rss\"\n35\t ),\n36\t\n37\t // Market-Specific\n38\t Feed(\n39\t title: \"MarketWatch\",\n40\t url: \"https://feeds.marketwatch.com/marketwatch/topstories/\"\n41\t ),\n42\t Feed(\n43\t title: \"Seeking Alpha\",\n44\t url: \"https://seekingalpha.com/feed.xml\"\n45\t ),\n46\t Feed(\n47\t title: \"Yahoo Finance\",\n48\t url: \"https://finance.yahoo.com/news/rssindex\"\n49\t ),\n50\t Feed(\n51\t title: \"CNBC\",\n52\t url: \"https://www.cnbc.com/id/100003114/device/rss/rss.html\"\n53\t ),\n54\t Feed(\n55\t title: \"The Wall Street Journal\",\n56\t url: \"https://feeds.a.dj.com/rss/RSSMarketsMain.xml\"\n57\t ),\n58\t\n59\t // Tech Business\n60\t Feed(\n61\t title: \"TechCrunch\",\n62\t url: \"https://techcrunch.com/feed/\"\n63\t ),\n64\t Feed(\n65\t title: \"The Verge\",\n66\t url: \"https://www.theverge.com/rss/index.xml\"\n67\t ),\n68\t Feed(\n69\t title: \"Ars Technica\",\n70\t url: \"https://feeds.arstechnica.com/arstechnica/index\"\n71\t ),\n72\t\n73\t // Company News\n74\t Feed(\n75\t title: \"Fortune\",\n76\t url: \"https://fortune.com/feed\"\n77\t ),\n78\t Feed(\n79\t title: \"Forbes Business\",\n80\t url: \"https://www.forbes.com/business/feed/\"\n81\t ),\n82\t Feed(\n83\t title: \"Inc Magazine\",\n84\t url: \"https://www.inc.com/rss\"\n85\t ),\n86\t\n87\t // Industry-Specific\n88\t Feed(\n89\t title: \"Retail Dive\",\n90\t url: \"https://www.retaildive.com/feeds/news/\"\n91\t ),\n92\t Feed(\n93\t title: \"Manufacturing Dive\",\n94\t url: \"https://www.manufacturingdive.com/feeds/news/\"\n95\t ),\n96\t Feed(\n97\t title: \"Banking Dive\",\n98\t url: \"https://www.bankingdive.com/feeds/news/\"\n99\t ),\n100\t\n101\t // Economic News\n102\t Feed(\n103\t title: \"The Economist\",\n104\t url: \"https://www.economist.com/finance-and-economics/rss.xml\"\n105\t ),\n106\t Feed(\n107\t title: \"Federal Reserve News\",\n108\t url: \"https://www.federalreserve.gov/feeds/press_all.xml\"\n109\t ),\n110\t ]; // List of rss feed URLs\n111\t List get feeds => List.unmodifiable(_feeds);\n112\t\n113\t late String _applicationStorageLocation;\n114\t String get applicationStorageLocation => _applicationStorageLocation;\n115\t\n116\t static SettingsProvider of(BuildContext context) {\n117\t return Provider.of(context, listen: false);\n118\t }\n119\t\n120\t Future load() async {\n121\t final Directory appDocDir = await getApplicationDocumentsDirectory();\n122\t _applicationStorageLocation = appDocDir.path;\n123\t\n124\t SharedPreferences prefs = await SharedPreferences.getInstance();\n125\t\n126\t _OPENAI_API_KEY = prefs.getString('openai_api_key') ?? _OPENAI_API_KEY;\n127\t\n128\t List? feedStrings = prefs.getStringList('feeds');\n129\t if (feedStrings != null) {\n130\t _feeds = feedStrings.map((fStr) {\n131\t try {\n132\t return Feed.fromJson(jsonDecode(fStr));\n133\t } catch (e) {\n134\t Map json = {};\n135\t fStr.substring(1, fStr.length - 1).split(', ').forEach((pair) {\n136\t List keyValue = pair.split(': ');\n137\t String key = keyValue[0];\n138\t String value = keyValue[1];\n139\t\n140\t if (value == 'true') {\n141\t json[key] = true;\n142\t } else if (value == 'false') {\n143\t json[key] = false;\n144\t } else {\n145\t json[key] = value;\n146\t }\n147\t });\n148\t return Feed.fromJson(json);\n149\t }\n150\t }).toList();\n151\t }\n152\t\n153\t _applicationStorageLocation = prefs.getString('application_storage_location') ?? applicationStorageLocation;\n154\t\n155\t notifyListeners();\n156\t }\n157\t\n158\t Future save() async {\n159\t SharedPreferences prefs = await SharedPreferences.getInstance();\n160\t\n161\t await prefs.setString('openai_api_key', _OPENAI_API_KEY);\n162\t await prefs.setStringList('feeds', _feeds.map((f) => jsonEncode(f.toJson())).toList());\n163\t await prefs.setString('application_storage_location', _applicationStorageLocation);\n164\t }\n165\t\n166\t void setOpenAIApiKey(String key) {\n167\t _OPENAI_API_KEY = key;\n168\t save();\n169\t notifyListeners();\n170\t }\n171\t\n172\t void addFeed(Feed feed) {\n173\t _feeds.add(feed);\n174\t save();\n175\t notifyListeners();\n176\t }\n177\t\n178\t Feed updateFeed(int id, {String? title, String? url, bool? enabled}) {\n179\t for (int i = 0; i < _feeds.length; i++) {\n180\t if (_feeds[i].id == id) {\n181\t Feed updatedFeed = Feed(\n182\t id: _feeds[i].id,\n183\t url: url ?? _feeds[i].url,\n184\t title: title ?? _feeds[i].title,\n185\t enabled: enabled ?? _feeds[i].enabled,\n186\t );\n187\t _feeds[i] = updatedFeed;\n188\t save();\n189\t notifyListeners();\n190\t return updatedFeed;\n191\t }\n192\t }\n193\t throw Exception(\"Feed with id $id not found\");\n194\t }\n195\t\n196\t void removeFeed(Feed feed) {\n197\t _feeds.removeWhere((f) => f.id == feed.id);\n198\t save();\n199\t notifyListeners();\n200\t }\n201\t\n202\t void setApplicationStorageLocation(String path) {\n203\t _applicationStorageLocation = path;\n204\t save();\n205\t notifyListeners();\n206\t }\n207\t\n208\t}\n209\t\n210\tclass Feed {\n211\t\n212\t final int id;\n213\t final String url;\n214\t final String title;\n215\t final bool enabled;\n216\t\n217\t Feed({int? id, required this.url, required this.title, this.enabled = true}) : id = id ?? (url.hashCode ^ title.hashCode);\n218\t\n219\t Feed.fromJson(Map json)\n220\t : id = json['id'] ?? (json['url'].hashCode ^ json['title'].hashCode),\n221\t url = json['url'],\n222\t title = json['title'],\n223\t enabled = json['enabled'] ?? true;\n224\t\n225\t Map toJson() => {\n226\t 'id': id,\n227\t 'url': url,\n228\t 'title': title,\n229\t 'enabled': enabled,\n230\t };\n231\t}\n232\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T15:00:18.815602Z"
},
{
"role": "assistant",
"content": "Yes. I’m switching the API client to support OpenRouter for chat while keeping embeddings on OpenAI, then I’ll wire settings/UI to reflect that.",
"timestamp": "2026-04-15T15:00:24.708105Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/utils/openai.dart\",\n \"offset\": 300,\n \"limit\": 260\n}",
"timestamp": "2026-04-15T15:00:25.415187Z"
},
{
"role": "tool",
"content": "Read result\n301\t Delta({\n302\t this.role,\n303\t this.content,\n304\t });\n305\t\n306\t factory Delta.fromJson(Map json) => Delta(\n307\t role: json['role'],\n308\t content: json['content'],\n309\t );\n310\t}\n311\t\n312\t/// Token usage information\n313\tclass Usage {\n314\t final int? promptTokens;\n315\t final int? completionTokens;\n316\t final int? totalTokens;\n317\t\n318\t Usage({\n319\t this.promptTokens,\n320\t this.completionTokens,\n321\t this.totalTokens,\n322\t });\n323\t\n324\t factory Usage.fromJson(Map json) => Usage(\n325\t promptTokens: json['prompt_tokens'],\n326\t completionTokens: json['completion_tokens'],\n327\t totalTokens: json['total_tokens'],\n328\t );\n329\t\n330\t Map toJson() => {\n331\t if (promptTokens != null) 'prompt_tokens': promptTokens,\n332\t if (completionTokens != null) 'completion_tokens': completionTokens,\n333\t if (totalTokens != null) 'total_tokens': totalTokens,\n334\t };\n335\t}\n336\t\n337\t/// OpenAI API exception\n338\tclass OpenAIException implements Exception {\n339\t final int statusCode;\n340\t final String message;\n341\t\n342\t OpenAIException({\n343\t required this.statusCode,\n344\t required this.message,\n345\t });\n346\t\n347\t @override\n348\t String toString() => 'OpenAIException($statusCode): $message';\n349\t}\n350\t\n351\t/// Embeddings API\n352\tclass Embeddings {\n353\t final OpenAI _openai;\n354\t\n355\t Embeddings(this._openai);\n356\t\n357\t /// Create embeddings for input text\n358\t Future create({\n359\t required String model,\n360\t required dynamic input, // String or List\n361\t String? user,\n362\t String? encodingFormat, // 'float' or 'base64'\n363\t int? dimensions,\n364\t }) async {\n365\t final body = {\n366\t 'model': model,\n367\t 'input': input,\n368\t if (user != null) 'user': user,\n369\t if (encodingFormat != null) 'encoding_format': encodingFormat,\n370\t if (dimensions != null) 'dimensions': dimensions,\n371\t };\n372\t\n373\t final response = await _openai._client.post(\n374\t Uri.parse('${_openai.baseUrl}/embeddings'),\n375\t headers: {\n376\t 'Content-Type': 'application/json',\n377\t 'Authorization': 'Bearer ${_openai.apiKey}',\n378\t },\n379\t body: jsonEncode(body),\n380\t );\n381\t\n382\t if (response.statusCode != 200) {\n383\t throw OpenAIException(\n384\t statusCode: response.statusCode,\n385\t message: response.body,\n386\t );\n387\t }\n388\t\n389\t return EmbeddingResponse.fromJson(jsonDecode(response.body));\n390\t }\n391\t}\n392\t\n393\t/// Embedding response\n394\tclass EmbeddingResponse {\n395\t final String object;\n396\t final List data;\n397\t final String model;\n398\t final Usage? usage;\n399\t\n400\t EmbeddingResponse({\n401\t required this.object,\n402\t required this.data,\n403\t required this.model,\n404\t this.usage,\n405\t });\n406\t\n407\t factory EmbeddingResponse.fromJson(Map json) =>\n408\t EmbeddingResponse(\n409\t object: json['object'],\n410\t data: (json['data'] as List).map((e) => Embedding.fromJson(e)).toList(),\n411\t model: json['model'],\n412\t usage: json['usage'] != null ? Usage.fromJson(json['usage']) : null,\n413\t );\n414\t}\n415\t\n416\t/// Individual embedding\n417\tclass Embedding {\n418\t final String object;\n419\t final int index;\n420\t final List embedding;\n421\t\n422\t Embedding({\n423\t required this.object,\n424\t required this.index,\n425\t required this.embedding,\n426\t });\n427\t\n428\t factory Embedding.fromJson(Map json) => Embedding(\n429\t object: json['object'],\n430\t index: json['index'],\n431\t embedding: (json['embedding'] as List).map((e) => (e as num).toDouble()).toList(),\n432\t );\n433\t\n434\t}\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T15:00:25.416333Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/settings.dart\",\n \"offset\": 1,\n \"limit\": 260\n}",
"timestamp": "2026-04-15T15:00:25.416375Z"
},
{
"role": "tool",
"content": "Read result\n2\timport 'package:capstone_project/providers/settings.dart';\n3\timport 'package:capstone_project/widgets/navbar.dart';\n4\timport 'package:file_picker/file_picker.dart';\n5\timport 'package:go_router/go_router.dart';\n6\timport 'package:path_provider/path_provider.dart';\n7\timport 'package:shadcn_flutter/shadcn_flutter.dart';\n8\t\n9\tclass SettingsPage extends StatefulWidget {\n10\t\n11\t static GoRoute route = GoRoute(\n12\t path: \"/settings\",\n13\t builder: (context, state) => SettingsPage()\n14\t );\n15\t\n16\t @override\n17\t State createState() => _SettingsPageState();\n18\t}\n19\t\n20\tclass _SettingsPageState extends State {\n21\t\n22\t bool _isLoading = true;\n23\t\n24\t String apiKey = \"\";\n25\t List feeds = [];\n26\t String appStorageLocation = \"\";\n27\t\n28\t @override\n29\t void initState() {\n30\t // TODO: implement initState\n31\t super.initState();\n32\t\n33\t loadPage();\n34\t }\n35\t\n36\t void loadPage() async {\n37\t SettingsProvider settings = SettingsProvider.of(context);\n38\t\n39\t setState(() {\n40\t _isLoading = true;\n41\t });\n42\t\n43\t apiKey = settings.openAIApiKey;\n44\t feeds = settings.feeds;\n45\t appStorageLocation = settings.applicationStorageLocation;\n46\t\n47\t setState(() {\n48\t _isLoading = false;\n49\t });\n50\t }\n51\t\n52\t @override\n53\t Widget build(BuildContext context) {\n54\t\n55\t if (_isLoading) {\n56\t return Scaffold(\n57\t child: Center(\n58\t child: CircularProgressIndicator(),\n59\t ),\n60\t );\n61\t }\n62\t\n63\t return Scaffold(\n64\t headers: [\n65\t AppBar(\n66\t title: Text(\"Settings\"),\n67\t )\n68\t ],\n69\t footers: [\n70\t ProjNavBar(\n71\t currentPage: \"settings\",\n72\t )\n73\t ],\n74\t child: Center(\n75\t child: SizedBox(\n76\t width: 600,\n77\t child: SingleChildScrollView(\n78\t child: Column(\n79\t crossAxisAlignment: CrossAxisAlignment.start,\n80\t children: [\n81\t \n82\t Text(\n83\t \"Open AI\"\n84\t ).h4,\n85\t \n86\t Gap(12),\n87\t \n88\t Text(\n89\t \"API Key\"\n90\t ).small.normal,\n91\t \n92\t Gap(8),\n93\t \n94\t TextField(\n95\t placeholder: Text(\n96\t \"Enter your OpenAI API key\"\n97\t ),\n98\t initialValue: apiKey.isEmpty\n99\t ? ''\n100\t : '${apiKey.substring(0, apiKey.length >= 8 ? 8 : apiKey.length)}xxxxxx (Redacted for security)',\n101\t onChanged: (value) {\n102\t SettingsProvider settings = SettingsProvider.of(context);\n103\t \n104\t settings.setOpenAIApiKey(value);\n105\t },\n106\t ),\n107\t \n108\t Gap(8),\n109\t \n110\t if (apiKey.isEmpty)\n111\t DestructiveBadge(\n112\t child: Text(\n113\t \"API key is required to use AI features.\"\n114\t ),\n115\t ),\n116\t \n117\t Gap(16),\n118\t \n119\t Divider(),\n120\t \n121\t Gap(16),\n122\t \n123\t Row(\n124\t children: [\n125\t Expanded(\n126\t child: Column(\n127\t crossAxisAlignment: CrossAxisAlignment.start,\n128\t children: [\n129\t Text(\n130\t \"News Feeds\"\n131\t ).h4,\n132\t \n133\t Gap(4),\n134\t \n135\t Text(\n136\t \"Manage your RSS news feeds.\"\n137\t ).muted.small,\n138\t ],\n139\t ),\n140\t ),\n141\t \n142\t Button.outline(\n143\t child: Text(\n144\t \"Add Feed\"\n145\t ),\n146\t onPressed: () {\n147\t showDialog(\n148\t context: context,\n149\t barrierDismissible: false,\n150\t builder: (context) => AddFeedDialog()\n151\t ).then((value) {\n152\t loadPage();\n153\t });\n154\t },\n155\t )\n156\t ],\n157\t ),\n158\t \n159\t Gap(24),\n160\t \n161\t for (Feed feed in feeds) ...[\n162\t \n163\t Row(\n164\t children: [\n165\t Expanded(\n166\t child: Text(\n167\t feed.title.isNotEmpty ? feed.title : feed.url,\n168\t style: TextStyle(\n169\t decoration: feed.enabled ? TextDecoration.none : TextDecoration.lineThrough\n170\t ),\n171\t ),\n172\t ),\n173\t \n174\t Builder(\n175\t builder: (context2) {\n176\t return GhostButton(\n177\t density: ButtonDensity.dense,\n178\t child: Icon(\n179\t LucideIcons.ellipsis,\n180\t \n181\t ),\n182\t onPressed: () {\n183\t \n184\t \n185\t \n186\t showDropdown(\n187\t context: context2,\n188\t builder: (_) {\n189\t return DropdownMenu(\n190\t children: [\n191\t MenuButton(\n192\t child: Text(\n193\t \"Edit\"\n194\t ),\n195\t trailing: Icon(\n196\t LucideIcons.filePen\n197\t ),\n198\t onPressed: (_) {\n199\t // Navigator.of(context).pop();\n200\t \n201\t showDialog(\n202\t context: context,\n203\t barrierDismissible: false,\n204\t builder: (context) => AddFeedDialog(\n205\t existingFeed: feed,\n206\t )\n207\t ).then((value) {\n208\t loadPage();\n209\t });\n210\t \n211\t },\n212\t )\n213\t ],\n214\t );\n215\t }\n216\t );\n217\t },\n218\t );\n219\t }\n220\t ),\n221\t \n222\t Gap(4),\n223\t \n224\t Switch(\n225\t value: feed.enabled,\n226\t onChanged: (value) {\n227\t SettingsProvider settings = SettingsProvider.of(context);\n228\t \n229\t settings.updateFeed(\n230\t feed.id,\n231\t enabled: value\n232\t );\n233\t \n234\t loadPage();\n235\t },\n236\t ),\n237\t ],\n238\t ),\n239\t \n240\t SelectableText(\n241\t feed.url,\n242\t style: TextStyle(\n243\t decoration: feed.enabled ? TextDecoration.none : TextDecoration.lineThrough\n244\t ),\n245\t ).muted.small,\n246\t \n247\t Gap(12),\n248\t ],\n249\t \n250\t Gap(12),\n251\t \n252\t Divider(),\n253\t \n254\t Gap(16),\n255\t \n256\t Text(\n257\t \"Application Data\"\n258\t ).h4,\n259\t \n260\t Gap(12),\n261\t \n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T15:00:25.417146Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/home.dart\",\n \"offset\": 1,\n \"limit\": 260\n}",
"timestamp": "2026-04-15T15:00:25.417175Z"
},
{
"role": "tool",
"content": "Read result\n2\timport 'dart:io';\n3\t\n4\timport 'package:capstone_project/models/event_signal.dart';\n5\timport 'package:capstone_project/providers/settings.dart';\n6\timport 'package:capstone_project/utils/agrigator.dart';\n7\timport 'package:capstone_project/utils/signal_generator.dart';\n8\timport 'package:capstone_project/widgets/event_signal_card.dart';\n9\timport 'package:capstone_project/widgets/navbar.dart';\n10\timport 'package:go_router/go_router.dart';\n11\timport 'package:shadcn_flutter/shadcn_flutter.dart';\n12\t\n13\tclass HomePage extends StatefulWidget {\n14\t const HomePage({super.key});\n15\t\n16\t static GoRoute route = GoRoute(\n17\t path: \"/\",\n18\t builder: (context, state) => const HomePage(),\n19\t );\n20\t\n21\t @override\n22\t State createState() => _HomePageState();\n23\t}\n24\t\n25\tclass _HomePageState extends State {\n26\t bool _isProcessing = false;\n27\t String _status = 'Ready';\n28\t String? _error;\n29\t List _signals = [];\n30\t\n31\t @override\n32\t Widget build(BuildContext context) {\n33\t return Scaffold(\n34\t headers: [\n35\t AppBar(),\n36\t ],\n37\t footers: [\n38\t ProjNavBar(\n39\t currentPage: 'home',\n40\t ),\n41\t ],\n42\t child: Center(\n43\t child: SizedBox(\n44\t width: 900,\n45\t child: SingleChildScrollView(\n46\t child: Column(\n47\t crossAxisAlignment: CrossAxisAlignment.start,\n48\t children: [\n49\t Text('Augor').h1,\n50\t const Gap(8),\n51\t Text('Business news event analysis and growth signals.').muted,\n52\t const Gap(24),\n53\t Button.primary(\n54\t onPressed: _isProcessing ? null : () => _runPipeline(context),\n55\t child: Text(_isProcessing ? 'Processing...' : 'Aggregate your feeds'),\n56\t ),\n57\t const Gap(12),\n58\t Text(_status).muted,\n59\t if (_isProcessing) ...[\n60\t const Gap(12),\n61\t const SizedBox(\n62\t width: double.infinity,\n63\t child: LinearProgressIndicator(),\n64\t ),\n65\t ],\n66\t if (_error != null) ...[\n67\t const Gap(12),\n68\t DestructiveBadge(\n69\t child: Text(_error!),\n70\t ),\n71\t ],\n72\t const Gap(24),\n73\t if (_signals.isNotEmpty) ...[\n74\t Text('Signals').h3,\n75\t const Gap(12),\n76\t for (final signal in _signals) ...[\n77\t EventSignalCard(signal: signal),\n78\t const Gap(12),\n79\t ],\n80\t ],\n81\t ],\n82\t ).withPadding(all: 16),\n83\t ),\n84\t ),\n85\t ),\n86\t );\n87\t }\n88\t\n89\t Future _runPipeline(BuildContext context) async {\n90\t final settings = SettingsProvider.of(context);\n91\t\n92\t setState(() {\n93\t _isProcessing = true;\n94\t _error = null;\n95\t _status = 'Fetching feeds...';\n96\t _signals = [];\n97\t });\n98\t\n99\t try {\n100\t final enabledFeeds = settings.feeds.where((feed) => feed.enabled).toList();\n101\t final feedUris = enabledFeeds.map((feed) => Uri.parse(feed.url)).toList();\n102\t final aggregatedItems = await fetchFeeds(feedUris);\n103\t\n104\t await _writeJson(\n105\t '${settings.applicationStorageLocation}/aggregated_feed.json',\n106\t aggregatedItems,\n107\t );\n108\t\n109\t setState(() {\n110\t _status = 'Generating embeddings...';\n111\t });\n112\t await generateEmbeddings(aggregatedItems, settings.openAIApiKey);\n113\t\n114\t await _writeJson(\n115\t '${settings.applicationStorageLocation}/enriched_aggregated_feed.json',\n116\t aggregatedItems,\n117\t );\n118\t\n119\t setState(() {\n120\t _status = 'Filtering relevant articles...';\n121\t });\n122\t await generateKeywordEmbeddings(settings.openAIApiKey);\n123\t final relevantItems = [...aggregatedItems]..removeWhere((item) => !isFeedItemRelevant(item));\n124\t\n125\t await _writeJson(\n126\t '${settings.applicationStorageLocation}/relevant_aggregated_feed.json',\n127\t relevantItems,\n128\t );\n129\t\n130\t await _writeJson(\n131\t '${settings.applicationStorageLocation}/readable_relevant_aggregated_feed.json',\n132\t relevantItems\n133\t .map(\n134\t (item) => FeedItem(\n135\t title: item.title,\n136\t link: item.link,\n137\t description: item.description,\n138\t ),\n139\t )\n140\t .toList(),\n141\t );\n142\t\n143\t setState(() {\n144\t _status = 'Grouping events...';\n145\t });\n146\t final groupedItems = groupFeedItemsByEvent(relevantItems)\n147\t .where((group) => group.length >= 2)\n148\t .toList();\n149\t\n150\t await _writeJson(\n151\t '${settings.applicationStorageLocation}/grouped_relevant_aggregated_feed.json',\n152\t groupedItems.map((group) => group.map((item) => item.toJson()).toList()).toList(),\n153\t );\n154\t\n155\t final readableGroupedItems = groupedItems\n156\t .map(\n157\t (group) => group\n158\t .map(\n159\t (item) => FeedItem(\n160\t title: item.title,\n161\t link: item.link,\n162\t description: item.description,\n163\t ),\n164\t )\n165\t .toList(),\n166\t )\n167\t .toList()\n168\t ..sort((a, b) => b.length.compareTo(a.length));\n169\t\n170\t await _writeJson(\n171\t '${settings.applicationStorageLocation}/readable_grouped_relevant_aggregated_feed.json',\n172\t readableGroupedItems.map((group) => group.map((item) => item.toJson()).toList()).toList(),\n173\t );\n174\t\n175\t setState(() {\n176\t _status = 'Generating signals...';\n177\t });\n178\t final signalGenerator = SignalGenerator(apiKey: settings.openAIApiKey);\n179\t final signals = await signalGenerator.generateSignals(groupedItems);\n180\t\n181\t await _writeJson(\n182\t '${settings.applicationStorageLocation}/signals.json',\n183\t signals,\n184\t );\n185\t\n186\t setState(() {\n187\t _signals = signals;\n188\t _status = 'Done';\n189\t });\n190\t } catch (e) {\n191\t print('Pipeline failed: $e');\n192\t setState(() {\n193\t _error = e.toString();\n194\t _status = 'Failed';\n195\t });\n196\t } finally {\n197\t if (mounted) {\n198\t setState(() {\n199\t _isProcessing = false;\n200\t });\n201\t }\n202\t }\n203\t }\n204\t\n205\t Future _writeJson(String path, Object data) async {\n206\t final json = const JsonEncoder.withIndent(' ').convert(data);\n207\t await File(path).writeAsString(json);\n208\t print('Saved $path');\n209\t }\n210\t}\n211\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T15:00:25.417888Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/pubspec.yaml\",\n \"offset\": 1,\n \"limit\": 200\n}",
"timestamp": "2026-04-15T15:00:25.417912Z"
},
{
"role": "tool",
"content": "Read result\n2\tdescription: \"A new Flutter project.\"\n3\t# The following line prevents the package from being accidentally published to\n4\t# pub.dev using `flutter pub publish`. This is preferred for private packages.\n5\tpublish_to: 'none' # Remove this line if you wish to publish to pub.dev\n6\t\n7\t# The following defines the version and build number for your application.\n8\t# A version number is three numbers separated by dots, like 1.2.43\n9\t# followed by an optional build number separated by a +.\n10\t# Both the version and the builder number may be overridden in flutter\n11\t# build by specifying --build-name and --build-number, respectively.\n12\t# In Android, build-name is used as versionName while build-number used as versionCode.\n13\t# Read more about Android versioning at https://developer.android.com/studio/publish/versioning\n14\t# In iOS, build-name is used as CFBundleShortVersionString while build-number is used as CFBundleVersion.\n15\t# Read more about iOS versioning at\n16\t# https://developer.apple.com/library/archive/documentation/General/Reference/InfoPlistKeyReference/Articles/CoreFoundationKeys.html\n17\t# In Windows, build-name is used as the major, minor, and patch parts\n18\t# of the product and file versions while build-number is used as the build suffix.\n19\tversion: 1.0.0+1\n20\t\n21\tenvironment:\n22\t sdk: ^3.10.0-75.1.beta\n23\t\n24\t# Dependencies specify other packages that your package needs in order to work.\n25\t# To automatically upgrade your package dependencies to the latest versions\n26\t# consider running `flutter pub upgrade --major-versions`. Alternatively,\n27\t# dependencies can be manually updated by changing the version numbers below to\n28\t# the latest version available on pub.dev. To see which dependencies have newer\n29\t# versions available, run `flutter pub outdated`.\n30\tdependencies:\n31\t flutter:\n32\t sdk: flutter\n33\t go_router: ^16.2.4\n34\t shadcn_flutter: ^0.0.52\n35\t provider: ^6.1.5+1\n36\t shared_preferences: ^2.5.4\n37\t uid: ^0.1.1\n38\t xml: ^6.6.1\n39\t file_picker: ^10.3.7\n40\t path_provider: ^2.1.5\n41\t http: ^1.2.2\n42\t\n43\t # The following adds the Cupertino Icons font to your application.\n44\t # Use with the CupertinoIcons class for iOS style icons.\n45\t cupertino_icons: ^1.0.8\n46\t\n47\tdev_dependencies:\n48\t flutter_test:\n49\t sdk: flutter\n50\t\n51\t # The \"flutter_lints\" package below contains a set of recommended lints to\n52\t # encourage good coding practices. The lint set provided by the package is\n53\t # activated in the `analysis_options.yaml` file located at the root of your\n54\t # package. See that file for information about deactivating specific lint\n55\t # rules and activating additional ones.\n56\t flutter_lints: ^6.0.0\n57\t\n58\t# For information on the generic Dart part of this file, see the\n59\t# following page: https://dart.dev/tools/pub/pubspec\n60\t\n61\t# The following section is specific to Flutter packages.\n62\tflutter:\n63\t\n64\t # The following line ensures that the Material Icons font is\n65\t # included with your application, so that you can use the icons in\n66\t # the material Icons class.\n67\t uses-material-design: true\n68\t\n69\t # To add assets to your application, add an assets section, like this:\n70\t # assets:\n71\t # - images/a_dot_burr.jpeg\n72\t # - images/a_dot_ham.jpeg\n73\t\n74\t # An image asset can refer to one or more resolution-specific \"variants\", see\n75\t # https://flutter.dev/to/resolution-aware-images\n76\t\n77\t # For details regarding adding assets from package dependencies, see\n78\t # https://flutter.dev/to/asset-from-package\n79\t\n80\t # To add custom fonts to your application, add a fonts section here,\n81\t # in this \"flutter\" section. Each entry in this list should have a\n82\t # \"family\" key with the font family name, and a \"fonts\" key with a\n83\t # list giving the asset and other descriptors for the font. For\n84\t # example:\n85\t # fonts:\n86\t # - family: Schyler\n87\t # fonts:\n88\t # - asset: fonts/Schyler-Regular.ttf\n89\t # - asset: fonts/Schyler-Italic.ttf\n90\t # style: italic\n91\t # - family: Trajan Pro\n92\t # fonts:\n93\t # - asset: fonts/TrajanPro.ttf\n94\t # - asset: fonts/TrajanPro_Bold.ttf\n95\t # weight: 700\n96\t #\n97\t # For details regarding fonts from package dependencies,\n98\t # see https://flutter.dev/to/font-from-package\n99\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T15:00:25.418589Z"
},
{
"role": "assistant",
"content": "I’m checking OpenRouter’s current chat and embeddings API shape, then I’ll wire the client to it.",
"timestamp": "2026-04-15T15:00:33.924635Z"
},
{
"role": "tool",
"content": "WebSearch call\n{\n \"query\": \"OpenRouter API chat completions embeddings docs Authorization headers base URL 2026\",\n \"allowed_domains\": [\n \"openrouter.ai\"\n ],\n \"blocked_domains\": []\n}",
"timestamp": "2026-04-15T15:00:34.665175Z"
},
{
"role": "tool",
"content": "WebSearch result\nQuery: OpenRouter API chat completions embeddings docs Authorization headers base URL 2026\nDuration: 11.4s\nSearches performed: 1\n\nHere’s a concise summary from the OpenRouter docs:\n\n- **Base URL:** `https://openrouter.ai/api/v1`\n- **Chat Completions endpoint:** `POST /chat/completions` ([openrouter.ai](https://openrouter.ai/docs/api-reference/chat-completion?utm_source=openai))\n- **Embeddings endpoint:** `POST /embeddings` ([openrouter.ai](https://openrouter.ai/docs/api-reference/embeddings?utm_source=openai))\n- **Authorization header:** `Authorization: Bearer ` for both chat completions and embeddings. ([openrouter.ai](https://openrouter.ai/docs/api-reference/chat-completion?utm_source=openai))\n- **Common required headers:** `Authorization: Bearer ` and `Content-Type: application/json`. ([openrouter.ai](https://openrouter.ai/docs/api-reference/chat-completion?utm_source=openai))\n\nExample URLs:\n- `https://openrouter.ai/api/v1/chat/completions` ([openrouter.ai](https://openrouter.ai/docs/api-reference/chat-completion?utm_source=openai))\n- `https://openrouter.ai/api/v1/embeddings` ([openrouter.ai](https://openrouter.ai/docs/api-reference/api-reference/embeddings/create-embeddings?utm_source=openai))\n\nMinimal examples:\n\n```bash\ncurl -X POST https://openrouter.ai/api/v1/chat/completions \\\n -H \"Authorization: Bearer \" \\\n -H \"Content-Type: application/json\"\n```\n\n```bash\ncurl -X POST https://openrouter.ai/api/v1/embeddings \\\n -H \"Authorization: Bearer \" \\\n -H \"Content-Type: application/json\"\n```\n\nSources:\n- [Create a chat completion](https://openrouter.ai/docs/api-reference/chat-completion)\n- [Create a chat completion (alternate docs path)](https://openrouter.ai/docs/api/api-reference/chat/send-chat-completion-request)\n- [Embeddings overview](https://openrouter.ai/docs/api-reference/embeddings)\n- [Submit an embedding request](https://openrouter.ai/docs/api-reference/embeddings/create-embeddings)\n\nSources:\n- [Create a chat completion | OpenRouter | Documentation](https://openrouter.ai/docs/api-reference/chat-completion?utm_source=openai)\n- [Embeddings API | Convert Text to Vector Representations with OpenRouter | OpenRouter | Documentation](https://openrouter.ai/docs/api-reference/embeddings?utm_source=openai)\n- [Submit an embedding request | OpenRouter | Documentation](https://openrouter.ai/docs/api-reference/api-reference/embeddings/create-embeddings?utm_source=openai)",
"timestamp": "2026-04-15T15:00:52.260393Z"
},
{
"role": "tool",
"content": "Grep call\n{\n \"pattern\": \"OpenAI|openai_api_key|gpt-4\\\\.1-mini|text-embedding-3-small\",\n \"path\": \"/Users/imbenji/StudioProjects/capstone_project/lib\",\n \"glob\": \"**/*.dart\",\n \"output_mode\": \"content\"\n}",
"timestamp": "2026-04-15T15:00:52.261758Z"
},
{
"role": "tool",
"content": "Grep result\nproviders/settings.dart:126: _OPENAI_API_KEY = prefs.getString('openai_api_key') ?? _OPENAI_API_KEY;\n--\nproviders/settings.dart:161: await prefs.setString('openai_api_key', _OPENAI_API_KEY);\n--\nproviders/settings.dart:166: void setOpenAIApiKey(String key) {\nutils/agrigator.dart:140: final openai = OpenAI(apiKey: apiKey);\n--\nutils/agrigator.dart:147: model: \"text-embedding-3-small\",\n--\nutils/agrigator.dart:174: final openai = OpenAI(apiKey: apiKey);\n--\nutils/agrigator.dart:178: model: \"text-embedding-3-small\",\nutils/signal_generator.dart:24: final openai = OpenAI(apiKey: apiKey);\n--\nutils/signal_generator.dart:28: model: 'gpt-4.1-mini',\nutils/openai.dart:5:/// OpenAI API client for Dart\nutils/openai.dart:6:class OpenAI {\n--\nutils/openai.dart:11: OpenAI({\n--\nutils/openai.dart:30: final OpenAI _openai;\n--\nutils/openai.dart:40: final OpenAI _openai;\n--\nutils/openai.dart:97: throw OpenAIException(\n--\nutils/openai.dart:124: throw OpenAIException(\n--\nutils/openai.dart:337:/// OpenAI API exception\nutils/openai.dart:338:class OpenAIException implements Exception {\n--\nutils/openai.dart:342: OpenAIException({\n--\nutils/openai.dart:348: String toString() => 'OpenAIException($statusCode): $message';\n--\nutils/openai.dart:353: final OpenAI _openai;\n--\nutils/openai.dart:383: throw OpenAIException(\npages/settings.dart:96: \"Enter your OpenAI API key\"\n--\npages/settings.dart:104: settings.setOpenAIApiKey(value);",
"timestamp": "2026-04-15T15:00:52.276671Z"
},
{
"role": "assistant",
"content": "I’m switching the app’s API client and models over to OpenRouter now.",
"timestamp": "2026-04-15T15:01:18.541688Z"
},
{
"role": "tool",
"content": "WebSearch call\n{\n \"query\": \"site:openrouter.ai openai/gpt-4.1-mini OpenRouter model id\",\n \"allowed_domains\": [\n \"openrouter.ai\"\n ],\n \"blocked_domains\": []\n}",
"timestamp": "2026-04-15T15:01:18.763156Z"
},
{
"role": "tool",
"content": "WebSearch result\nQuery: site:openrouter.ai openai/gpt-4.1-mini OpenRouter model id\nDuration: 8.0s\nSearches performed: 1\n\nThe OpenRouter model ID is **`openai/gpt-4.1-mini`**. The OpenRouter model page for GPT-4.1 Mini explicitly shows the identifier as `openai/gpt-4.1-mini`. It also lists the model as released on **April 14, 2025**. ([openrouter.ai](https://openrouter.ai/openai/gpt-4.1-mini?utm_source=openai))\n\nSources:\n- [GPT-4.1 Mini - API Pricing & Providers | OpenRouter](https://openrouter.ai/openai/gpt-4.1-mini)\n- [OpenAI: GPT-4.1 Mini – API Quickstart | OpenRouter](https://openrouter.ai/openai/gpt-4.1-mini/api)\n\nSources:\n- [GPT-4.1 Mini - API Pricing & Providers | OpenRouter](https://openrouter.ai/openai/gpt-4.1-mini?utm_source=openai)",
"timestamp": "2026-04-15T15:06:29.252815Z"
},
{
"role": "tool",
"content": "WebSearch call\n{\n \"query\": \"site:openrouter.ai openai/text-embedding-3-small OpenRouter model id\",\n \"allowed_domains\": [\n \"openrouter.ai\"\n ],\n \"blocked_domains\": []\n}",
"timestamp": "2026-04-15T15:06:29.253202Z"
},
{
"role": "tool",
"content": "WebSearch result\nQuery: site:openrouter.ai openai/text-embedding-3-small OpenRouter model id\nDuration: 6.1s\nSearches performed: 1\n\nThe OpenRouter model id is **`openai/text-embedding-3-small`**. It appears as the canonical model slug on the OpenRouter model page for “Text Embedding 3 Small.” ([openrouter.ai](https://openrouter.ai/openai/text-embedding-3-small?utm_source=openai))\n\nA couple of related details from the same OpenRouter listing:\n- Provider/model page: “OpenAI: Text Embedding 3 Small” with slug **`openai/text-embedding-3-small`**. ([openrouter.ai](https://openrouter.ai/openai/text-embedding-3-small?utm_source=openai))\n- The OpenRouter page also shows an **8,192 context** window and **$0.02/M input tokens** on the listing at the time indexed. ([openrouter.ai](https://openrouter.ai/openai/text-embedding-3-small?utm_source=openai))\n\nSources:\n- [OpenAI: Text Embedding 3 Small | OpenRouter](https://openrouter.ai/openai/text-embedding-3-small)\n- [OpenAI: Text Embedding 3 Small – API Quickstart | OpenRouter](https://openrouter.ai/openai/text-embedding-3-small/api)\n- [OpenAI Models on OpenRouter](https://openrouter.ai/openai)\n\nSources:\n- [Text Embedding 3 Small - API, Providers, Stats | OpenRouter](https://openrouter.ai/openai/text-embedding-3-small?utm_source=openai)",
"timestamp": "2026-04-15T15:07:22.409979Z"
},
{
"role": "assistant",
"content": "I’m switching the API client, model IDs, and settings text to OpenRouter, then I’ll run tests.",
"timestamp": "2026-04-15T15:07:57.519365Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/utils/openai.dart\",\n \"old_string\": \"/// OpenAI API client for Dart\\nclass OpenAI {\\n final String apiKey;\\n final String baseUrl;\\n final http.Client _client;\\n\\n OpenAI({\\n required this.apiKey,\\n this.baseUrl = 'https://api.openai.com/v1',\\n http.Client? client,\\n }) : _client = client ?? http.Client();\\n\",\n \"new_string\": \"/// OpenRouter-compatible API client for Dart\\nclass OpenAI {\\n final String apiKey;\\n final String baseUrl;\\n final http.Client _client;\\n\\n OpenAI({\\n required this.apiKey,\\n this.baseUrl = 'https://openrouter.ai/api/v1',\\n http.Client? client,\\n }) : _client = client ?? http.Client();\\n\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T15:08:01.613051Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/utils/openai.dart has been updated successfully.",
"timestamp": "2026-04-15T15:08:01.615428Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/utils/signal_generator.dart\",\n \"old_string\": \" model: 'gpt-4.1-mini',\",\n \"new_string\": \" model: 'openai/gpt-4.1-mini',\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T15:08:01.615493Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/utils/signal_generator.dart has been updated successfully.",
"timestamp": "2026-04-15T15:08:01.616346Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/utils/agrigator.dart\",\n \"old_string\": \" model: \\\"text-embedding-3-small\\\",\",\n \"new_string\": \" model: \\\"openai/text-embedding-3-small\\\",\",\n \"replace_all\": true\n}",
"timestamp": "2026-04-15T15:08:01.616412Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/utils/agrigator.dart has been updated. All occurrences were successfully replaced.",
"timestamp": "2026-04-15T15:08:01.617377Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/settings.dart\",\n \"old_string\": \" Text(\\n \\\"Open AI\\\"\\n ).h4,\\n\",\n \"new_string\": \" Text(\\n \\\"OpenRouter\\\"\\n ).h4,\\n\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T15:08:01.617400Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/pages/settings.dart has been updated successfully.",
"timestamp": "2026-04-15T15:08:01.618228Z"
},
{
"role": "assistant",
"content": "I’m finishing the OpenRouter switch by renaming the stored key/settings labels and then I’ll run analysis.",
"timestamp": "2026-04-15T15:08:03.728213Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart\",\n \"old_string\": \" String _OPENAI_API_KEY = \\\"\\\";\\n String get openAIApiKey => _OPENAI_API_KEY;\\n\",\n \"new_string\": \" String _openRouterApiKey = \\\"\\\";\\n String get openRouterApiKey => _openRouterApiKey;\\n\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T15:08:09.194304Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart has been updated successfully.",
"timestamp": "2026-04-15T15:08:09.198439Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart\",\n \"old_string\": \" _OPENAI_API_KEY = prefs.getString('openai_api_key') ?? _OPENAI_API_KEY;\\n\",\n \"new_string\": \" _openRouterApiKey = prefs.getString('openrouter_api_key') ?? prefs.getString('openai_api_key') ?? _openRouterApiKey;\\n\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T15:08:09.198535Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart has been updated successfully.",
"timestamp": "2026-04-15T15:08:09.199911Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart\",\n \"old_string\": \" await prefs.setString('openai_api_key', _OPENAI_API_KEY);\\n\",\n \"new_string\": \" await prefs.setString('openrouter_api_key', _openRouterApiKey);\\n\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T15:08:09.199977Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart has been updated successfully.",
"timestamp": "2026-04-15T15:08:09.200957Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart\",\n \"old_string\": \" void setOpenAIApiKey(String key) {\\n _OPENAI_API_KEY = key;\\n save();\\n notifyListeners();\\n }\\n\",\n \"new_string\": \" void setOpenRouterApiKey(String key) {\\n _openRouterApiKey = key;\\n save();\\n notifyListeners();\\n }\\n\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T15:08:09.201001Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart has been updated successfully.",
"timestamp": "2026-04-15T15:08:09.201919Z"
},
{
"role": "tool",
"content": "Grep call\n{\n \"pattern\": \"openAIApiKey|setOpenAIApiKey|_OPENAI_API_KEY|openai_api_key\",\n \"path\": \"/Users/imbenji/StudioProjects/capstone_project/lib\",\n \"glob\": \"**/*.dart\",\n \"output_mode\": \"content\"\n}",
"timestamp": "2026-04-15T15:08:09.201961Z"
},
{
"role": "tool",
"content": "Grep result\nproviders/settings.dart:126: _openRouterApiKey = prefs.getString('openrouter_api_key') ?? prefs.getString('openai_api_key') ?? _openRouterApiKey;\npages/home.dart:112: await generateEmbeddings(aggregatedItems, settings.openAIApiKey);\n--\npages/home.dart:122: await generateKeywordEmbeddings(settings.openAIApiKey);\n--\npages/home.dart:178: final signalGenerator = SignalGenerator(apiKey: settings.openAIApiKey);\npages/settings.dart:43: apiKey = settings.openAIApiKey;\n--\npages/settings.dart:104: settings.setOpenAIApiKey(value);",
"timestamp": "2026-04-15T15:08:09.633662Z"
},
{
"role": "assistant",
"content": "I’ve switched the core API client to OpenRouter and I’m updating the remaining settings/UI references plus validating the build.",
"timestamp": "2026-04-15T15:08:11.018594Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/home.dart\",\n \"old_string\": \" await generateEmbeddings(aggregatedItems, settings.openAIApiKey);\",\n \"new_string\": \" await generateEmbeddings(aggregatedItems, settings.openRouterApiKey);\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T15:08:16.481314Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/pages/home.dart has been updated successfully.",
"timestamp": "2026-04-15T15:08:16.483720Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/home.dart\",\n \"old_string\": \" await generateKeywordEmbeddings(settings.openAIApiKey);\",\n \"new_string\": \" await generateKeywordEmbeddings(settings.openRouterApiKey);\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T15:08:16.483797Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/pages/home.dart has been updated successfully.",
"timestamp": "2026-04-15T15:08:16.486187Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/home.dart\",\n \"old_string\": \" final signalGenerator = SignalGenerator(apiKey: settings.openAIApiKey);\",\n \"new_string\": \" final signalGenerator = SignalGenerator(apiKey: settings.openRouterApiKey);\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T15:08:16.486226Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/pages/home.dart has been updated successfully.",
"timestamp": "2026-04-15T15:08:16.486980Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/settings.dart\",\n \"old_string\": \" apiKey = settings.openAIApiKey;\",\n \"new_string\": \" apiKey = settings.openRouterApiKey;\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T15:08:16.487009Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/pages/settings.dart has been updated successfully.",
"timestamp": "2026-04-15T15:08:16.487924Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/settings.dart\",\n \"old_string\": \" \\\"Enter your OpenAI API key\\\"\",\n \"new_string\": \" \\\"Enter your OpenRouter API key\\\"\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T15:08:16.487952Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/pages/settings.dart has been updated successfully.",
"timestamp": "2026-04-15T15:08:16.488735Z"
},
{
"role": "tool",
"content": "Edit call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/pages/settings.dart\",\n \"old_string\": \" settings.setOpenAIApiKey(value);\",\n \"new_string\": \" settings.setOpenRouterApiKey(value);\",\n \"replace_all\": false\n}",
"timestamp": "2026-04-15T15:08:16.488763Z"
},
{
"role": "tool",
"content": "Edit result\nThe file /Users/imbenji/StudioProjects/capstone_project/lib/pages/settings.dart has been updated successfully.",
"timestamp": "2026-04-15T15:08:16.974784Z"
},
{
"role": "assistant",
"content": "I’ve switched the app to OpenRouter and kept your saved key migration-compatible. Now I’m validating references and compile health.",
"timestamp": "2026-04-15T15:08:18.332620Z"
},
{
"role": "tool",
"content": "Grep call\n{\n \"pattern\": \"openAIApiKey|setOpenAIApiKey|_OPENAI_API_KEY|openai_api_key|Open AI|OpenAI API key|gpt-4\\\\.1-mini|text-embedding-3-small|api.openai.com/v1\",\n \"path\": \"/Users/imbenji/StudioProjects/capstone_project/lib\",\n \"glob\": \"**/*.dart\",\n \"output_mode\": \"content\"\n}",
"timestamp": "2026-04-15T15:08:21.467244Z"
},
{
"role": "tool",
"content": "Grep result\nproviders/settings.dart:126: _openRouterApiKey = prefs.getString('openrouter_api_key') ?? prefs.getString('openai_api_key') ?? _openRouterApiKey;\nutils/agrigator.dart:147: model: \"openai/text-embedding-3-small\",\n--\nutils/agrigator.dart:178: model: \"openai/text-embedding-3-small\",\nutils/signal_generator.dart:28: model: 'openai/gpt-4.1-mini',",
"timestamp": "2026-04-15T15:08:21.925224Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/providers/settings.dart\",\n \"offset\": 1,\n \"limit\": 220\n}",
"timestamp": "2026-04-15T15:08:21.925343Z"
},
{
"role": "tool",
"content": "Read result\n2\timport 'dart:convert';\n3\timport 'package:flutter/material.dart';\n4\timport 'package:provider/provider.dart';\n5\timport 'package:shared_preferences/shared_preferences.dart';\n6\timport 'package:path_provider/path_provider.dart';\n7\timport 'dart:io';\n8\t\n9\tclass SettingsProvider extends ChangeNotifier {\n10\t\n11\t String _openRouterApiKey = \"\";\n12\t String get openRouterApiKey => _openRouterApiKey;\n13\t\n14\t List _feeds = [\n15\t // Major Business News\n16\t Feed(\n17\t title: \"Business Insider\",\n18\t url: \"https://feeds.businessinsider.com/custom/all\"\n19\t ),\n20\t Feed(\n21\t title: \"BBC Business\",\n22\t url: \"https://feeds.bbci.co.uk/news/business/rss.xml\"\n23\t ),\n24\t Feed(\n25\t title: \"Reuters Business\",\n26\t url: \"https://www.reutersagency.com/feed/?taxonomy=best-topics&post_type=best\"\n27\t ),\n28\t Feed(\n29\t title: \"Financial Times\",\n30\t url: \"https://www.ft.com/?format=rss\"\n31\t ),\n32\t Feed(\n33\t title: \"Bloomberg\",\n34\t url: \"https://feeds.bloomberg.com/markets/news.rss\"\n35\t ),\n36\t\n37\t // Market-Specific\n38\t Feed(\n39\t title: \"MarketWatch\",\n40\t url: \"https://feeds.marketwatch.com/marketwatch/topstories/\"\n41\t ),\n42\t Feed(\n43\t title: \"Seeking Alpha\",\n44\t url: \"https://seekingalpha.com/feed.xml\"\n45\t ),\n46\t Feed(\n47\t title: \"Yahoo Finance\",\n48\t url: \"https://finance.yahoo.com/news/rssindex\"\n49\t ),\n50\t Feed(\n51\t title: \"CNBC\",\n52\t url: \"https://www.cnbc.com/id/100003114/device/rss/rss.html\"\n53\t ),\n54\t Feed(\n55\t title: \"The Wall Street Journal\",\n56\t url: \"https://feeds.a.dj.com/rss/RSSMarketsMain.xml\"\n57\t ),\n58\t\n59\t // Tech Business\n60\t Feed(\n61\t title: \"TechCrunch\",\n62\t url: \"https://techcrunch.com/feed/\"\n63\t ),\n64\t Feed(\n65\t title: \"The Verge\",\n66\t url: \"https://www.theverge.com/rss/index.xml\"\n67\t ),\n68\t Feed(\n69\t title: \"Ars Technica\",\n70\t url: \"https://feeds.arstechnica.com/arstechnica/index\"\n71\t ),\n72\t\n73\t // Company News\n74\t Feed(\n75\t title: \"Fortune\",\n76\t url: \"https://fortune.com/feed\"\n77\t ),\n78\t Feed(\n79\t title: \"Forbes Business\",\n80\t url: \"https://www.forbes.com/business/feed/\"\n81\t ),\n82\t Feed(\n83\t title: \"Inc Magazine\",\n84\t url: \"https://www.inc.com/rss\"\n85\t ),\n86\t\n87\t // Industry-Specific\n88\t Feed(\n89\t title: \"Retail Dive\",\n90\t url: \"https://www.retaildive.com/feeds/news/\"\n91\t ),\n92\t Feed(\n93\t title: \"Manufacturing Dive\",\n94\t url: \"https://www.manufacturingdive.com/feeds/news/\"\n95\t ),\n96\t Feed(\n97\t title: \"Banking Dive\",\n98\t url: \"https://www.bankingdive.com/feeds/news/\"\n99\t ),\n100\t\n101\t // Economic News\n102\t Feed(\n103\t title: \"The Economist\",\n104\t url: \"https://www.economist.com/finance-and-economics/rss.xml\"\n105\t ),\n106\t Feed(\n107\t title: \"Federal Reserve News\",\n108\t url: \"https://www.federalreserve.gov/feeds/press_all.xml\"\n109\t ),\n110\t ]; // List of rss feed URLs\n111\t List get feeds => List.unmodifiable(_feeds);\n112\t\n113\t late String _applicationStorageLocation;\n114\t String get applicationStorageLocation => _applicationStorageLocation;\n115\t\n116\t static SettingsProvider of(BuildContext context) {\n117\t return Provider.of(context, listen: false);\n118\t }\n119\t\n120\t Future load() async {\n121\t final Directory appDocDir = await getApplicationDocumentsDirectory();\n122\t _applicationStorageLocation = appDocDir.path;\n123\t\n124\t SharedPreferences prefs = await SharedPreferences.getInstance();\n125\t\n126\t _openRouterApiKey = prefs.getString('openrouter_api_key') ?? prefs.getString('openai_api_key') ?? _openRouterApiKey;\n127\t\n128\t List? feedStrings = prefs.getStringList('feeds');\n129\t if (feedStrings != null) {\n130\t _feeds = feedStrings.map((fStr) {\n131\t try {\n132\t return Feed.fromJson(jsonDecode(fStr));\n133\t } catch (e) {\n134\t Map json = {};\n135\t fStr.substring(1, fStr.length - 1).split(', ').forEach((pair) {\n136\t List keyValue = pair.split(': ');\n137\t String key = keyValue[0];\n138\t String value = keyValue[1];\n139\t\n140\t if (value == 'true') {\n141\t json[key] = true;\n142\t } else if (value == 'false') {\n143\t json[key] = false;\n144\t } else {\n145\t json[key] = value;\n146\t }\n147\t });\n148\t return Feed.fromJson(json);\n149\t }\n150\t }).toList();\n151\t }\n152\t\n153\t _applicationStorageLocation = prefs.getString('application_storage_location') ?? applicationStorageLocation;\n154\t\n155\t notifyListeners();\n156\t }\n157\t\n158\t Future save() async {\n159\t SharedPreferences prefs = await SharedPreferences.getInstance();\n160\t\n161\t await prefs.setString('openrouter_api_key', _openRouterApiKey);\n162\t await prefs.setStringList('feeds', _feeds.map((f) => jsonEncode(f.toJson())).toList());\n163\t await prefs.setString('application_storage_location', _applicationStorageLocation);\n164\t }\n165\t\n166\t void setOpenRouterApiKey(String key) {\n167\t _openRouterApiKey = key;\n168\t save();\n169\t notifyListeners();\n170\t }\n171\t\n172\t void addFeed(Feed feed) {\n173\t _feeds.add(feed);\n174\t save();\n175\t notifyListeners();\n176\t }\n177\t\n178\t Feed updateFeed(int id, {String? title, String? url, bool? enabled}) {\n179\t for (int i = 0; i < _feeds.length; i++) {\n180\t if (_feeds[i].id == id) {\n181\t Feed updatedFeed = Feed(\n182\t id: _feeds[i].id,\n183\t url: url ?? _feeds[i].url,\n184\t title: title ?? _feeds[i].title,\n185\t enabled: enabled ?? _feeds[i].enabled,\n186\t );\n187\t _feeds[i] = updatedFeed;\n188\t save();\n189\t notifyListeners();\n190\t return updatedFeed;\n191\t }\n192\t }\n193\t throw Exception(\"Feed with id $id not found\");\n194\t }\n195\t\n196\t void removeFeed(Feed feed) {\n197\t _feeds.removeWhere((f) => f.id == feed.id);\n198\t save();\n199\t notifyListeners();\n200\t }\n201\t\n202\t void setApplicationStorageLocation(String path) {\n203\t _applicationStorageLocation = path;\n204\t save();\n205\t notifyListeners();\n206\t }\n207\t\n208\t}\n209\t\n210\tclass Feed {\n211\t\n212\t final int id;\n213\t final String url;\n214\t final String title;\n215\t final bool enabled;\n216\t\n217\t Feed({int? id, required this.url, required this.title, this.enabled = true}) : id = id ?? (url.hashCode ^ title.hashCode);\n218\t\n219\t Feed.fromJson(Map json)\n220\t : id = json['id'] ?? (json['url'].hashCode ^ json['title'].hashCode),\n221\t url = json['url'],\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n",
"timestamp": "2026-04-15T15:08:21.925927Z"
},
{
"role": "tool",
"content": "Bash call\n{\n \"command\": \"flutter analyze\",\n \"timeout\": 120000,\n \"cwd\": \"/Users/imbenji/StudioProjects/capstone_project\"\n}",
"timestamp": "2026-04-15T15:08:21.925957Z"
},
{
"role": "tool",
"content": "Bash result\nAnalyzing capstone_project... \n\n info • Don't invoke 'print' in production code • lib/pages/home.dart:191:7 • avoid_print\n info • Don't invoke 'print' in production code • lib/pages/home.dart:208:5 • avoid_print\n info • Constructors for public widgets should have a named 'key' parameter • lib/pages/settings.dart:9:7 • use_key_in_widget_constructors\n info • The 'child' argument should be last in widget constructor invocations • lib/pages/settings.dart:192:41 • sort_child_properties_last\n info • Don't use 'BuildContext's across async gaps • lib/pages/settings.dart:290:77 • use_build_context_synchronously\nwarning • This class (or a class that this class inherits from) is marked as '@immutable', but one or more of its instance fields aren't final: AddFeedDialog.existingFeed, AddFeedDialog.feedTitleKey, AddFeedDialog.feedUrlKey • lib/pages/settings.dart:330:7 • must_be_immutable\n info • The constant name 'KEYWORDS' isn't a lowerCamelCase identifier • lib/utils/agrigator.dart:7:14 • constant_identifier_names\n info • The variable name 'KEYWORD_EMBEDDINGS' isn't a lowerCamelCase identifier • lib/utils/agrigator.dart:8:15 • non_constant_identifier_names\n info • Don't invoke 'print' in production code • lib/utils/agrigator.dart:125:7 • avoid_print\n info • Don't invoke 'print' in production code • lib/utils/agrigator.dart:155:5 • avoid_print\n info • Don't invoke 'print' in production code • lib/utils/agrigator.dart:186:5 • avoid_print\n info • Don't invoke 'print' in production code • lib/utils/signal_generator.dart:45:7 • avoid_print\n\n\nAll plugins found for macos are Swift Packages, but your project still has CocoaPods integration. To remove CocoaPods integration, complete the following steps:\n * In the macos/ directory run \"pod deintegrate\"\n * Also in the macos/ directory, delete the Podfile\n * Remove the include to \"Pods/Target Support Files/Pods-Runner/Pods-Runner.debug.xcconfig\" in your macos/Flutter/Flutter-Debug.xcconfig\n * Remove the include to \"Pods/Target Support Files/Pods-Runner/Pods-Runner.release.xcconfig\" in your macos/Flutter/Flutter-Release.xcconfig\n\nRemoving CocoaPods integration will improve the project's build time.\n12 issues found. (ran in 2.8s)\n\nExit code: 1",
"timestamp": "2026-04-15T15:09:28.071127Z"
},
{
"role": "assistant",
"content": "Switched the app to OpenRouter and validated the code path.\n\nYes. I switched it.\n\nWhat changed:\n- Default API base URL now points to OpenRouter: `lib/utils/openai.dart:13`\n- Signal model call now uses OpenRouter model ID `openai/gpt-4.1-mini`: `lib/utils/signal_generator.dart:28`\n- Embeddings now use OpenRouter model ID `openai/text-embedding-3-small`: `lib/utils/agrigator.dart:147`, `lib/utils/agrigator.dart:178`\n- Settings now store/read an OpenRouter key: `lib/providers/settings.dart:11`, `lib/providers/settings.dart:126`, `lib/providers/settings.dart:161`, `lib/providers/settings.dart:166`\n- Settings UI now says OpenRouter and updates the new key field: `lib/pages/settings.dart:83`, `lib/pages/settings.dart:96`, `lib/pages/settings.dart:104`\n- Pipeline now reads the OpenRouter key everywhere: `lib/pages/home.dart:112`, `lib/pages/home.dart:122`, `lib/pages/home.dart:178`\n\nCompatibility detail:\n- I kept a migration fallback so an existing saved `openai_api_key` still loads into the new OpenRouter field: `lib/providers/settings.dart:126`\n\nValidation:\n- `flutter analyze` ran successfully enough to catch no new blocking errors from this switch\n- remaining issues are pre-existing lint warnings plus one existing settings widget warning, not an OpenRouter integration failure\n\nWhat you need to do:\n- put your OpenRouter API key into Settings\n- run the pipeline again\n\nOne note:\n- this client is now effectively an OpenRouter-compatible wrapper, even though the class/file is still named `OpenAI` in `lib/utils/openai.dart:6`\n- that naming is cosmetic; behavior is now pointed at OpenRouter\n\nIf you want, the next code cleanup step is renaming that client and provider labels internally from `OpenAI` to `OpenRouter` everywhere.",
"timestamp": "2026-04-15T15:09:35.958520Z",
"contextTokens": 27449,
"cost": 0.045302499999999996
},
{
"role": "user",
"content": "you should do that",
"timestamp": "2026-04-15T15:10:09.349403Z"
},
{
"role": "assistant",
"content": "I’m renaming the client and references cleanly now, then I’ll run analysis again.",
"timestamp": "2026-04-15T15:10:13.117702Z"
},
{
"role": "tool",
"content": "Advisor call\n{\n \"model\": \"anthropic/claude-sonnet-4.6\"\n}",
"timestamp": "2026-04-15T15:10:13.912573Z"
},
{
"role": "tool",
"content": "Advisor result\nAdvisor returned no guidance.",
"timestamp": "2026-04-15T15:10:17.896217Z"
},
{
"role": "assistant",
"content": "I’m renaming the client and remaining labels from OpenAI to OpenRouter, then I’ll run analyze again.",
"timestamp": "2026-04-15T15:10:19.431787Z"
},
{
"role": "tool",
"content": "Grep call\n{\n \"pattern\": \"\\\\bOpenAI\\\\b|\\\\bOpenAIException\\\\b|openai\\\\.dart|openai_api_key|openAIApiKey|setOpenAIApiKey|OpenAI API|Open AI\",\n \"path\": \"/Users/imbenji/StudioProjects/capstone_project/lib\",\n \"glob\": \"**/*.dart\",\n \"output_mode\": \"content\"\n}",
"timestamp": "2026-04-15T15:10:22.750119Z"
},
{
"role": "tool",
"content": "Grep result\nproviders/settings.dart:126: _openRouterApiKey = prefs.getString('openrouter_api_key') ?? prefs.getString('openai_api_key') ?? _openRouterApiKey;\nutils/agrigator.dart:5:import 'openai.dart';\n--\nutils/agrigator.dart:140: final openai = OpenAI(apiKey: apiKey);\n--\nutils/agrigator.dart:174: final openai = OpenAI(apiKey: apiKey);\nutils/signal_generator.dart:5:import 'package:capstone_project/utils/openai.dart';\n--\nutils/signal_generator.dart:24: final openai = OpenAI(apiKey: apiKey);\nutils/openai.dart:6:class OpenAI {\n--\nutils/openai.dart:11: OpenAI({\n--\nutils/openai.dart:30: final OpenAI _openai;\n--\nutils/openai.dart:40: final OpenAI _openai;\n--\nutils/openai.dart:97: throw OpenAIException(\n--\nutils/openai.dart:124: throw OpenAIException(\n--\nutils/openai.dart:337:/// OpenAI API exception\nutils/openai.dart:338:class OpenAIException implements Exception {\n--\nutils/openai.dart:342: OpenAIException({\n--\nutils/openai.dart:348: String toString() => 'OpenAIException($statusCode): $message';\n--\nutils/openai.dart:353: final OpenAI _openai;\n--\nutils/openai.dart:383: throw OpenAIException(",
"timestamp": "2026-04-15T15:10:23.204030Z"
},
{
"role": "tool",
"content": "Grep call\n{\n \"pattern\": \"openai\\\\.dart|OpenAI|Open AI|openai_api_key\",\n \"path\": \"/Users/imbenji/StudioProjects/capstone_project/test\",\n \"glob\": \"**/*\",\n \"output_mode\": \"content\"\n}",
"timestamp": "2026-04-15T15:10:23.204141Z"
},
{
"role": "tool",
"content": "Grep result\nNo matches found",
"timestamp": "2026-04-15T15:10:23.204848Z"
},
{
"role": "tool",
"content": "Grep call\n{\n \"pattern\": \"openai|OpenAI|Open AI\",\n \"path\": \"/Users/imbenji/StudioProjects/capstone_project\",\n \"glob\": \"**/*.{md,yaml,yml,dart}\",\n \"output_mode\": \"content\"\n}",
"timestamp": "2026-04-15T15:10:23.205415Z"
},
{
"role": "tool",
"content": "Grep result\narchitecture.md:48: - Persists OpenAI key, feed list, and storage path with `SharedPreferences`.\n--\narchitecture.md:51:- `lib/utils/openai.dart`\narchitecture.md:52: - OpenAI API wrapper for embeddings and chat completions.\nprogress.md:15:- OpenAI embeddings integration (`text-embedding-3-small`).\nREADME.md:7:Augor is a Flutter desktop application that aggregates financial news from multiple RSS sources and uses OpenAI embeddings to cluster related articles about the same business events. Instead of manually tracking dozens of news sources, Augor automatically groups stories so you can see what's actually happening in markets.\n--\nREADME.md:18:- Generates embeddings using OpenAI's text-embedding-3-small model\n--\nREADME.md:24:- Configure OpenAI API key\n--\nREADME.md:32:- **OpenAI API** - Text embeddings for semantic similarity\n--\nREADME.md:43:3. Create a `.env` file with your OpenAI API key (or configure it in the app settings)\nlib/providers/settings.dart:126: _openRouterApiKey = prefs.getString('openrouter_api_key') ?? prefs.getString('openai_api_key') ?? _openRouterApiKey;\nlib/utils/agrigator.dart:5:import 'openai.dart';\n--\nlib/utils/agrigator.dart:140: final openai = OpenAI(apiKey: apiKey);\n--\nlib/utils/agrigator.dart:146: final response = await openai.embeddings.create(\nlib/utils/agrigator.dart:147: model: \"openai/text-embedding-3-small\",\n--\nlib/utils/agrigator.dart:157: openai.dispose();\n--\nlib/utils/agrigator.dart:174: final openai = OpenAI(apiKey: apiKey);\n--\nlib/utils/agrigator.dart:177: final response = await openai.embeddings.create(\nlib/utils/agrigator.dart:178: model: \"openai/text-embedding-3-small\",\n--\nlib/utils/agrigator.dart:188: openai.dispose();\nlib/utils/signal_generator.dart:5:import 'package:capstone_project/utils/openai.dart';\n--\nlib/utils/signal_generator.dart:24: final openai = OpenAI(apiKey: apiKey);\n--\nlib/utils/signal_generator.dart:27: final response = await openai.chat.completions.create(\nlib/utils/signal_generator.dart:28: model: 'openai/gpt-4.1-mini',\n--\nlib/utils/signal_generator.dart:55: openai.dispose();\nlib/utils/openai.dart:6:class OpenAI {\n--\nlib/utils/openai.dart:11: OpenAI({\n--\nlib/utils/openai.dart:30: final OpenAI _openai;\n--\nlib/utils/openai.dart:32: ChatCompletions(this._openai);\n--\nlib/utils/openai.dart:35: Completions get completions => Completions(_openai);\n--\nlib/utils/openai.dart:40: final OpenAI _openai;\n--\nlib/utils/openai.dart:42: Completions(this._openai);\n--\nlib/utils/openai.dart:87: final response = await _openai._client.post(\nlib/utils/openai.dart:88: Uri.parse('${_openai.baseUrl}/chat/completions'),\n--\nlib/utils/openai.dart:91: 'Authorization': 'Bearer ${_openai.apiKey}',\n--\nlib/utils/openai.dart:97: throw OpenAIException(\n--\nlib/utils/openai.dart:110: Uri.parse('${_openai.baseUrl}/chat/completions'),\n--\nlib/utils/openai.dart:115: 'Authorization': 'Bearer ${_openai.apiKey}',\n--\nlib/utils/openai.dart:120: final streamedResponse = await _openai._client.send(request);\n--\nlib/utils/openai.dart:124: throw OpenAIException(\n--\nlib/utils/openai.dart:337:/// OpenAI API exception\nlib/utils/openai.dart:338:class OpenAIException implements Exception {\n--\nlib/utils/openai.dart:342: OpenAIException({\n--\nlib/utils/openai.dart:348: String toString() => 'OpenAIException($statusCode): $message';\n--\nlib/utils/openai.dart:353: final OpenAI _openai;\n--\nlib/utils/openai.dart:355: Embeddings(this._openai);\n--\nlib/utils/openai.dart:373: final response = await _openai._client.post(\nlib/utils/openai.dart:374: Uri.parse('${_openai.baseUrl}/embeddings'),\n--\nlib/utils/openai.dart:377: 'Authorization': 'Bearer ${_openai.apiKey}',\n--\nlib/utils/openai.dart:383: throw OpenAIException(",
"timestamp": "2026-04-15T15:10:24.267243Z"
},
{
"role": "assistant",
"content": "I’m renaming the client and updating all code/docs references, then I’ll run analyze again.",
"timestamp": "2026-04-15T15:10:26.017167Z"
},
{
"role": "tool",
"content": "Read call\n{\n \"file_path\": \"/Users/imbenji/StudioProjects/capstone_project/lib/utils/openai.dart\",\n \"offset\": 1,\n \"limit\": 460\n}",
"timestamp": "2026-04-15T15:10:28.260962Z"
},
{
"role": "tool",
"content": "Read result\n2\timport 'dart:convert';\n3\timport 'package:http/http.dart' as http;\n4\t\n5\t/// OpenRouter-compatible API client for Dart\n6\tclass OpenAI {\n7\t final String apiKey;\n8\t final String baseUrl;\n9\t final http.Client _client;\n10\t\n11\t OpenAI({\n12\t required this.apiKey,\n13\t this.baseUrl = 'https://openrouter.ai/api/v1',\n14\t http.Client? client,\n15\t }) : _client = client ?? http.Client();\n16\t\n17\t /// Access to chat completions API\n18\t ChatCompletions get chat => ChatCompletions(this);\n19\t\n20\t /// Access to embeddings API\n21\t Embeddings get embeddings => Embeddings(this);\n22\t\n23\t void dispose() {\n24\t _client.close();\n25\t }\n26\t}\n27\t\n28\t/// Chat completions API\n29\tclass ChatCompletions {\n30\t final OpenAI _openai;\n31\t\n32\t ChatCompletions(this._openai);\n33\t\n34\t /// Access to completions endpoint\n35\t Completions get completions => Completions(_openai);\n36\t}\n37\t\n38\t/// Completions endpoint\n39\tclass Completions {\n40\t final OpenAI _openai;\n41\t\n42\t Completions(this._openai);\n43\t\n44\t /// Create a chat completion\n45\t ///\n46\t /// If [stream] is true, returns a Stream of ChatCompletionChunk\n47\t /// If [stream] is false, returns a single ChatCompletion\n48\t Future create({\n49\t required String model,\n50\t required List messages,\n51\t bool stream = false,\n52\t StreamOptions? streamOptions,\n53\t double? temperature,\n54\t double? topP,\n55\t int? n,\n56\t List? stop,\n57\t int? maxTokens,\n58\t double? presencePenalty,\n59\t double? frequencyPenalty,\n60\t Map? logitBias,\n61\t String? user,\n62\t }) async {\n63\t final body = {\n64\t 'model': model,\n65\t 'messages': messages,\n66\t 'stream': stream,\n67\t if (streamOptions != null) 'stream_options': streamOptions.toJson(),\n68\t if (temperature != null) 'temperature': temperature,\n69\t if (topP != null) 'top_p': topP,\n70\t if (n != null) 'n': n,\n71\t if (stop != null) 'stop': stop,\n72\t if (maxTokens != null) 'max_tokens': maxTokens,\n73\t if (presencePenalty != null) 'presence_penalty': presencePenalty,\n74\t if (frequencyPenalty != null) 'frequency_penalty': frequencyPenalty,\n75\t if (logitBias != null) 'logit_bias': logitBias,\n76\t if (user != null) 'user': user,\n77\t };\n78\t\n79\t if (stream) {\n80\t return _streamCompletion(body);\n81\t } else {\n82\t return _createCompletion(body);\n83\t }\n84\t }\n85\t\n86\t Future