Content Agents — the go-to editorial AI for planning, writing, enriching, and distributing content
Maps proxy protocols to `http.Agent` implementations
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. This package contains the logic for building realtime voice agents on the server or in the browser.
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
LangGraph
Promptbook: Create persistent AI agents that turn your company's scattered knowledge into action
AI SDK by Vercel - build apps like ChatGPT, Claude, Gemini, and more with a single interface for any model using the Vercel AI Gateway or go direct to OpenAI, Anthropic, Google, or any other model provider.
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
Turn a function into an `http.Agent` instance
A high-level API to automate web browsers
A high-level API to automate web browsers
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
LiveKit Agents - Node.js
The Gateway provider for the [AI SDK](https://ai-sdk.dev/docs) allows the use of a wide variety of AI models and providers.
A home for your AI agents
The **[Anthropic provider](https://ai-sdk.dev/providers/ai-sdk-providers/anthropic)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Anthropic Messages API](https://docs.anthropic.com/claude/reference/messages_post).
Client side APIs for working with Salesforce agents
The **[Google Generative AI provider](https://ai-sdk.dev/providers/ai-sdk-providers/google-generative-ai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Google Generative AI](https://ai.google/discover/generativeai/)
The **[OpenAI provider](https://ai-sdk.dev/providers/ai-sdk-providers/openai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the OpenAI chat and completion APIs and embedding model support for the OpenAI embeddings API.
A JavaScript library for generating random user agents.
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This package provides a foundation for implementing providers that expose an OpenAI-compatible API.
Silero voice activity detection LiveKit Node Agents
Azure AI Agents client library.
One beautiful Ruby API for GPT, Claude, Gemini, and more. Easily build chatbots, AI agents, RAG applications, and content generators. Features chat (text, images, audio, PDFs), image generation, embeddings, tools (function calling), structured output, Rails integration, and streaming. Works with OpenAI, Anthropic, Google Gemini, AWS Bedrock, DeepSeek, Mistral, Ollama (local models), OpenRouter, Perplexity, GPUStack, and any OpenAI-compatible API. Minimal dependencies - just Faraday, Zeitwerk, and Marcel.
XCAP (RFC 4825) is a protocol on top of HTTP allowing a client (usually built within a SIP user agent) to manipulate the content of XML documents stored in a server. These documents represent per user buddy list, presence authorization policy, media content (i.e. user avatar) and other kind of features.Ruby XCAPClient library implements the XCAP protocol in client side, allowing the application to get, store, modify and delete XML documents (totally or partially) in the server.
pikuri-tasks gives a pikuri-core agent an in-memory task list it can use to plan and track multi-step work. A +Pikuri::Tasks::List+ holds the per-Agent state; four tools (+task_create+, +task_in_progress+, +task_completed+, +task_delete+) mutate it via content-as-identifier (no item IDs to hallucinate). +Pikuri::Tasks::Extension+ wires the list and tools onto an +Pikuri::Agent+ via +c.add_extension(...)+ inside the +Agent.new+ block. The list lives in process memory only — nothing is written to disk. Sub-agents do not inherit the parent's list (consistent with the "sub-agents do not inherit extensions" rule).
a Rails gem that allows you to validate a URL entered in a form. It validates if the URL exists by hitting it with a HEAD request. The improved version includes retries for common patterns when the head request is refused before giving a failure notice. It also looks up a SITE_URL constant to the user agent in the headers. Also has the option to also check that the URL returns content of a specified type.
Fork of RubyLLM with features to power Swarm, a multi-agent orchestration framework. One beautiful Ruby API for GPT, Claude, Gemini, and more. Easily build chatbots, AI agents, RAG applications, and content generators. Features chat (text, images, audio, PDFs), image generation, embeddings, tools (function calling), structured output, Rails integration, and streaming. Works with OpenAI, Anthropic, Google Gemini, AWS Bedrock, DeepSeek, Mistral, Ollama (local models), OpenRouter, Perplexity, GPUStack, and any OpenAI-compatible API. Minimal dependencies - just Faraday, Zeitwerk, and Marcel.
A Ruby gem for parsing skill files that use YAML frontmatter and markdown body content. Provides document splitting, YAML parsing, schema validation, and returns immutable Skill objects. Designed for agent/AI systems where skills are defined as structured markdown documents with metadata.
One beautiful Ruby API for GPT, Claude, Gemini, and more. Easily build chatbots, AI agents, RAG applications, and content generators. Features chat (text, images, audio, PDFs), image generation, embeddings, tools (function calling), structured output, Rails integration, and streaming. Works with OpenAI, Anthropic, Google Gemini, AWS Bedrock, DeepSeek, Mistral, Ollama (local models), OpenRouter, Perplexity, GPUStack, and any OpenAI-compatible API. Minimal dependencies - just Faraday, Zeitwerk, and Marcel.
A Jekyll plugin that generates clean Markdown copies of blog posts alongside their HTML output, making your content accessible to AI agents — the 'third audience' of the web. (People who like Markdown can use it too!)
One beautiful Ruby API for GPT, Claude, Gemini, and more. Easily build chatbots, AI agents, RAG applications, and content generators. Features chat (text, images, audio, PDFs), image generation, embeddings, tools (function calling), structured output, Rails integration, and streaming. Works with OpenAI, Anthropic, Google Gemini, AWS Bedrock, DeepSeek, Mistral, Ollama (local models), OpenRouter, Perplexity, GPUStack, and any OpenAI-compatible API. Minimal dependencies - just Faraday, Zeitwerk, and Marcel. With additional features from the community.
# FaradayError [](https://badge.fury.io/rb/faraday_error) A [Faraday](https://github.com/lostisland/faraday) middleware for adding request parameters to your exception tracker. ### Supports - [Honeybadger](https://www.honeybadger.io/) - [NewRelic](http://newrelic.com/) - Your favorite thing, as soon as you make a pull request! ## Installation Add this line to your application's Gemfile: ```ruby gem 'faraday_error' ``` And then execute: $ bundle Or install it yourself as: $ gem install faraday_error ## Usage Configure your Faraday connection to use this middleware. You can optionally specify a name; defaults to `faraday`. It is expected that you also use `Faraday::Response::RaiseError` somewhere in your stack. ```ruby connection = Faraday.new(url: 'http://localhost:4567') do |faraday| faraday.use FaradayError::Middleware, name: "example_request" faraday.use Faraday::Response::RaiseError faraday.adapter Faraday.default_adapter end ``` And that's it. Make a request as you normally would. ```ruby connection.post do |req| req.url '/503' req.headers['Content-Type'] = 'application/json' req.body = JSON.generate(abc: "xyz") end ``` If any request fails, Honeybadger's "context" for this error will include your request parameters. If sending JSON or `application/x-www-form-urlencoded`, these will be included in parsed form. ```json { "example_request": { "method": "post", "url": "http://localhost:4567/503", "request_headers": { "User-Agent": "Faraday v0.9.2", "Content-Type": "application/json" }, "body_length": 13, "body": { "abc": "xyz" } } } ``` ## Development After checking out the repo, run `bin/setup` to install dependencies. Then, run `rake spec` to run the tests. You can also run `bin/console` for an interactive prompt that will allow you to experiment. To install this gem onto your local machine, run `bundle exec rake install`. To release a new version, update the version number in `version.rb`, and then run `bundle exec rake release`, which will create a git tag for the version, push git commits and tags, and push the `.gem` file to [rubygems.org](https://rubygems.org). The included [RestReflector](../master/spec/rest_reflector.rb) Sinatra app is suitable for making requests that are guaranteed to fail in particlar ways. ## Contributing Bug reports and pull requests are welcome on GitHub at https://github.com/jelder/faraday_error. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [Contributor Covenant](http://contributor-covenant.org) code of conduct. ## License The gem is available as open source under the terms of the [MIT License](http://opensource.org/licenses/MIT).
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