A comprehensive, unified interface for all types of AI models - natural language, vision, audio, and video. Supports 51 providers with dynamic model discovery and multi-modal capabilities.
Playwright Tools for MCP
Unified LLM API with automatic model discovery and provider configuration
The [OpenRouter](https://openrouter.ai/) provider for the [Vercel AI SDK](https://sdk.vercel.ai/docs) gives access to over 300 large language models on the OpenRouter chat and completion APIs.
Contains JavaScript & TypeScript object models for Microsoft Power BI JavaScript SDK. For each model there is a TypeScript interface, and a validation function to ensure and object is valid.
Core LangChain.js abstractions and schemas
Programmatic interface for generating data models to be used by Amplify frontend libraries.
OpenAI integrations for LangChain.js
NodeJS implementation of @Qdrant/fastembed
TUF metadata models
A tool for editing geospatial data for mapping and GIS.
<p align="center"> <img height="100" width="100" alt="LlamaIndex logo" src="https://ts.llamaindex.ai/square.svg" /> </p> <h1 align="center">LlamaIndex.TS</h1> <h3 align="center"> Data framework for your LLM application. </h3>
llama addon for qvac
Anthropic integrations for LangChain.js
Core types and classes for Google services.
Google Generative AI integration for LangChain.js
Generate llms.txt files to train large language models on your Starlight documentation website
LangChain AWS integration
Declare LLM prompts with TSX
Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware encoding of JSON for LLM prompts
Bigmap for Keyv
Give your JS App some Backbone with Models, Views, Collections, and Events.
Stringify your JSON at max speed
AI-powered vulnerability scanner for any codebase
Durable-LLM is a unified interface for interacting with multiple Large Language Model APIs, simplifying integration of AI capabilities into Ruby applications.
LLMSpecs is a lightweight Ruby interface for fetching large language model (LLM) specifications from the Parsera API. It provides a simple, efficient way to access model metadata with built-in caching and query support.
LLM Memory is a Ruby gem designed to provide large language models (LLMs) like ChatGPT with memory using in-context learning. This enables better integration with systems such as Rails and web services while providing a more user-friendly and abstract interface based on brain terms.
AgentRuby is a Ruby library that allows you to create and manage workflows using LLMs (Large Language Models). It provides a simple and intuitive interface for defining tasks, managing dependencies, and executing workflows.
AgentRuby is a Ruby library that allows you to create and manage workflows using LLMs (Large Language Models). It provides a simple and intuitive interface for defining tasks, managing dependencies, and executing workflows.
OrchestraAI is a Ruby library that allows you to create and manage workflows using LLMs (Large Language Models). It provides a simple and intuitive interface for defining tasks, managing dependencies, and executing workflows.
== README.md: #ScheduledResource This gem is for displaying how things are used over time -- a schedule for a set of "resources". You can configure the elements of the schedule and there are utilities and protocols to connect them: - Configuration (specification and management), - Query interfaces (a REST-like API and internal protocols to query the models), and - A basic Rails controller implementation. We have a way to configure the schedule, internal methods to generate the data, and a way to retrieve data from the client. However this gem is largely view-framework agnostic. We could use a variety of client-side packages or even more traditional Rails view templates to generate HTML. In any case, to get a good feel in a display like this we need some client-side code. The gem includes client-side modules to: - Manage <b>time and display geometries</b> with "infinite" scroll along the time axis. - <b>Format display cells</b> in ways specific to the resource models. - <b>Update text justification</b> as the display is scrolled horizontally. ## Configuration A **scheduled resource** is something that can be used for one thing at a time. So if "Rocky & Bullwinkle" is on channel 3 from 10am to 11am on Saturday, then 'channel 3' is the <u>resource</u> and that showing of the episode is a <u>resource-use</u> block. Resources and use-blocks are typically Rails models. Each resource and its use-blocks get one row in the display. That row has a label to the left with some timespan visible on the rest of the row. Something else you would expect see in a schedule would be headers and labels -- perhaps one row with the date and another row with the hour. Headers and labels also fit the model of resources and use-blocks. Basic timezone-aware classes (ZTime*) for those are included in this gem. ### Config File The schedule configuration comes from <tt>config/resource_schedule.yml</tt> which has three top-level sections: - ResourceKinds: A hash where the key is a Resource and the value is a UseBlock. (Both are class names), - Resources: A list where each item is a Resource Class followed by one or more resource ids, and - visibleTime: The visible timespan of the schedule in seconds. The example file <tt>config/resource_schedule.yml</tt> (installed when you run <tt>schedulize</tt>) should be enough to display a two-row schedule with just the date above and the hour below. Of course you can monkey-patch or subclass these classes for your own needs. ### The schedule API The 'schedule' endpoint uses parameters <tt>t1</tt> and <tt>t2</tt> to specify a time interval for the request. A third parameter <tt>inc</tt> allows an initial time window to be expanded without repeating blocks that span those boundaries. The time parameters _plus the configured resources_ define the data to be returned. ### More About Configuration Management The <b>ScheduledResource</b> class manages resource and use-block class names, id's and labels for a schedule according to the configuration file. A ScheduledResource instance ties together: 1. A resource class (eg TvStation), 2. An id (a channel number in this example), and 3. Strings and other assets that will go into the DOM. The id is used to - select a resource _instance_ and - select instances of the _resource use block_ class (eg Program instances). The id _could_ be a database id but more often is something a little more suited to human use in the configuration. In any case it is used by model class method <tt>(resource_use_block_class).get_all_blocks()</tt> to select the right use-blocks for the resource. A resource class name and id are are joined with a '_' to form a tag that also serves as an id for the DOM. Once the configuration yaml is loaded that data is maintained in the session structure. Of course having a single configuration file limits the application's usefulness. A more general approach would be to have a user model with login and configuration would be associated with the user. ## Installation Add this line to your application's Gemfile: ```ruby gem 'scheduled_resource' ``` And then execute: $ bundle Or install it yourself as: $ gem install scheduled_resource Then from your application's root execute: $ schedulize . This will install a few image placeholders, client-side modules and a stylesheet under <tt>vendor/assets</tt>, an example configuration in <tt>config/resource_schedule.yml</tt> and an example controller in <tt>app/controllers/schedule_controller.rb</tt>. Also, if you use $ bundle show scheduled_resource to locate the installed source you can browse example classes <tt>lib/z_time_*.rb</tt> and the controller helper methods in <tt>lib/scheduled_resource/helper.rb</tt> ## Testing This gem also provides for a basic test application using angularjs to display a minimal but functional schedule showing just the day and hour headers in two different timezones (US Pacific and Eastern). Proceed as follows, starting with a fresh Rails app: $ rails new test_sr As above, add the gem to the Gemfile, then $ cd test_sr $ bundle $ schedulize . Add lines such as these to <tt>config/routes.rb</tt> get "/schedule/index" => "schedule#index" get "/schedule" => "schedule#schedule" Copy / merge these files from the gem source into the test app: $SR_SRC/app/views/layouts/application.html.erb $SR_SRC/app/views/schedule/index.html.erb $SR_SRC/app/assets/javascripts/{angular.js,script.js,controllers.js} and add <tt>//= require angular</tt> to application.js just below the entries for <tt>jquery</tt>. After you run the server and browse to http://0.0.0.0:3000/schedule/index you should see the four time-header rows specified by the sample config file. ## More Examples A better place to see the use of this gem is at [tv4](https://github.com/emeyekayee/tv4). Specifically, models <tt>app/models/event.rb</tt> and <tt>app/models/station.rb</tt> give better examples of implementing the ScheduledResource protocol and adapting to a db schema organized along somewhat different lines. ## Contributing 1. Fork it ( https://github.com/emeyekayee/scheduled_resource/fork ) 2. Create your feature branch (`git checkout -b my-new-feature`) 3. Commit your changes (`git commit -am 'Add some feature'`) 4. Push to the branch (`git push origin my-new-feature`) 5. Create a new Pull Request
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