Coding Agent Usage — token usage dashboard for Claude Code, Gemini CLI, and Codex CLI with OpenTelemetry export.
Local collector for AI coding agent usage statistics (Cherry fork with OpenClaw support)
Read and aggregate coding agent usage data from Claude Code (~/.claude), Codex (~/.codex), Cursor, and Goose
Publish AI coding-agent usage snapshots to usage.fyi. Works with Claude Code, Codex, Gemini CLI, and other popular agent harnesses via ccusage.
Coding agent CLI with read, bash, edit, write tools and session management
A coding agent friendly reporter for playwright, so that your coding agent finally really understands what is going wrong
GitHub Copilot CLI brings the power of Copilot coding agent directly to your terminal.
Read and aggregate coding agent usage data from Claude Code (~/.claude) and Codex (~/.codex)
Read and aggregate coding agent usage data from Claude Code (~/.claude) and Codex (~/.codex)
Storybook for React and Rsbuild: Develop React components in isolation with Hot Reloading.
Rsbuild builder for Storybook
[](https://www.npmjs.com/package/@aws-sdk/util-user-agent-browser) [](https://www.n
Loads environment variables from .env file
Skillflag producer CLI reference implementation.
Global HTTP/HTTPS proxy configurable using environment variables.
the http/https agent used by the npm cli
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
An HTTP(s) proxy `http.Agent` implementation for HTTP
Turn a function into an `http.Agent` instance
Coding agent CLI with read, bash, edit, write tools and session management
Playwright CLI
MCP server for Chrome DevTools
🤖/👨🦰 Recognise bots/crawlers/spiders using the user agent string.
The open agent skills ecosystem
AgentHarness provides a unified interface for CLI-based AI coding agents like Claude Code, Cursor, Gemini CLI, and others. It offers full orchestration with provider switching, circuit breakers, health monitoring, flexible configuration, dynamic provider registration, and token usage tracking.
RCrewAI is a powerful Ruby framework for creating autonomous AI agent crews that collaborate to solve complex tasks. Build intelligent workflows with reasoning agents, tool usage, memory systems, and human oversight. Key Features: • Multi-Agent Orchestration: Create crews of specialized AI agents that work together • Multi-LLM Support: OpenAI GPT-4, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Rich Tool Ecosystem: Web search, file operations, SQL databases, email, code execution, PDF processing • Agent Memory: Short-term and long-term memory for learning from past executions • Human-in-the-Loop: Interactive approval workflows and collaborative decision making • Advanced Task Management: Dependencies, retries, async execution, and context sharing • Hierarchical Teams: Manager agents that coordinate and delegate to specialist agents • Production Ready: Security controls, error handling, comprehensive logging, and monitoring • Ruby-First Design: Built specifically for Ruby developers with idiomatic patterns • CLI Tools: Command-line interface for creating and managing AI crews
# 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).