This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.
To capture the video (filesize: 19MB), using the free "QuickTime Player" application:
| Services.factory("LawnchairFactory", function($window, $log, $parse) { | |
| return function(name, config) { | |
| var collection = {}; | |
| var array = []; | |
| var isArray = config && config.isArray; | |
| var idGetter = $parse((config && config.entryKey) ? config.entryKey : "id"); | |
| var transformSave = (config && config.transformSave) ? config.transformSave : angular.identity; | |
| var transformLoad = (config && config.transformLoad) ? config.transformLoad : angular.identity; | |
| function getEntryId(entry){ |
| ExampleController = ($scope, LocationService) -> | |
| LocationService.locate().then (position) -> | |
| $scope.position = position | |
| ExampleController.$inject = ["$scope", "LocationService"] | |
| YourAngularApp.controller("ExampleController", ExampleController) |
| # dependency - Function.prototype.bind or underscore/lodash | |
| app = angular.module 'someApp' | |
| class @BaseCtrl | |
| @register: (app, name) -> | |
| name ?= @name || @toString().match(/function\s*(.*?)\(/)?[1] | |
| app.controller name, @ | |
| @inject: (args...) -> |
| echo "Creating an SSH key for you..." | |
| ssh-keygen -t rsa | |
| echo "Please add this public key to Github \n" | |
| echo "https://github.com/account/ssh \n" | |
| read -p "Press [Enter] key after this..." | |
| echo "Installing xcode-stuff" | |
| xcode-select --install |
| BEGIN; | |
| -- Ensure indexes are in place for performance | |
| CREATE INDEX IF NOT EXISTS idx_activity_timestamp ON directus_activity (timestamp); | |
| CREATE INDEX IF NOT EXISTS idx_revisions_activity ON directus_revisions (activity); | |
| CREATE INDEX IF NOT EXISTS idx_revisions_item_collection ON directus_revisions (item, collection); | |
| CREATE INDEX IF NOT EXISTS idx_notifications_timestamp ON directus_notifications (timestamp); | |
| DO $$ | |
| DECLARE |
LangSmith's Insights Agent is an LLM-orchestrated data analysis system that automatically discovers usage patterns and failure modes in production agent traces. Unlike traditional clustering tools, it accepts natural language questions from users and dynamically adapts its entire analysis pipeline—from feature extraction to taxonomy generation—based on those questions.
Key Innovation: It's a conversational interface to trace analysis, where users describe what they want to learn, and the system translates that into a custom analytical workflow.
Core Capabilities: