CLI 工具，用于在不同 LLM 提供商之间切换 Codex/Claude Code 的模型配置
Model switching extension for pi coding agent
Stop agent runtimes from falsely claiming a model switch already happened by separating saved selection from active runtime state.
View docs [here](https://radix-ui.com/primitives/docs/components/switch).
switch ui component for react
Claude Code 模型切换工具 - 快速切换不同产商的 Claude 模型
This package contains the trace engine implementation used by the DevTools Performance Panel.
A CLI tool to manage Claude Code model switching with multiple configurations
A CLI tool to switch Claude Code models
switch ui component for react
Spectrum UI components in React
Spectrum UI components in React
A React component to view and switch between on or off states.
Core logic for the switch widget implemented as a state machine
Fluent UI React Switch component.
Use Claude Code without an Anthropics account and route it to another LLM provider
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The Material Components for the web switch component
AI Model Switcher (AMS) - AI模型配置切换工具 | AI Model Configuration Switcher for CLI Tools
Intelligent model recommendation and switching for Pi coding agent
A switch is similar to a checkbox, but represents on/off values as opposed to selection.
Draggable toggle-switch component for react
(Experimental) Utilities for working with TypeScript + ESLint together
Delightful JavaScript Testing.
An ActiveRecord ConnectionPools class supports switching connection pool by database config instead of ActiveRecord model class name
[DEPRECATED] switch to 'j_r_r_token'. RuToken is a Ruby gem that wraps the tiktoken Rust library, enabling fast and efficient tokenization for OpenAI models. It supports multiple models including o200k_base, cl100k_base, p50k_base, and r50k_base.
Models the cognitive cost of switching between tasks including residual activation, warmup time, context restoration, and practice effects.
manage WriteOnceReadMany tables backing ActiveRecord models. there will be a switch table and multiple backing tables for each ActiveRecord model, all created and managed automatically. a new version of a table is created by writing to the working table, and then Model.advance_version which makes the working table active, and creates a new working table from the base model schmea
Models situated conceptualization — maintains context frames that shape perception, memory retrieval, and action selection. Tracks context switches with measurable switch costs and familiarity-based discount.
Active improvement of task-switching ability through deliberate practice for brain-modeled agentic AI
Prescient provides a unified interface for AI providers including local Ollama, Anthropic Claude, OpenAI GPT, and HuggingFace models. Built for AI applications with error handling, health monitoring, and provider switching.
Switches lets you turn on and off parts of your code from the commandline. There's a defaults.yml and a current.yml in the background. For example: app/models/user.rb after_create :subscribe_email if Switches.campaign_monitor? >> Switches.campaign_monitor? # => false $ rake switches:on[campaign_monitor] >> Switches.campaign_monitor? # => true $ rake switches:reset # goes back to default.yml $ rake switches:diff # shows diff b/w current.yml and default.yml $ rake s:d # alias for switches:diff $ rake s:c # alias for switches:list_current etc. It's inspired by ActiveSupport's StringInquirer (e.g. Rails.development?) and traditional compile-time assertions.
Local AI coding agent with abilities like: File editing with diffs, Git command approvals, Model switching, Repo awareness. All on your machine available offline
Models automatic vs deliberate processing modes based on Kahneman dual-process theory. Routine tasks run on autopilot (fast, low-cost), novel tasks trigger deliberate mode (slow, accurate). Tracks mode switching and override events.
This gem allows the Rails developer to avoid switching context from Rails error pages during development. When getting an error, you can send the error and logs to an AI model of your choice and get a response to help you understand or pin point the issue while avoiding copy pasting code or logs into an external AI window. Perfect for those who prefer to code with minimal AI presence in their editor of choice!
== OceanDynamo As one important use case for OceanDynamo is to facilitate the conversion of SQL databases to no-SQL DynamoDB databases, it is important that the syntax and semantics of OceanDynamo are as close as possible to those of ActiveRecord. This includes callbacks, exceptions and method chaining semantics. OceanDynamo follows this pattern closely and is of course based on ActiveModel. The attribute and persistence layer of OceanDynamo is modeled on that of ActiveRecord: there's +save+, +save!+, +create+, +update+, +update!+, +update_attributes+, +find_each+, +destroy_all+, +delete_all+, +read_attribute+, +write_attribute+ and all the other methods you're used to. The design goal is always to implement as much of the ActiveRecord interface as possible, without compromising scalability. This makes the task of switching from SQL to no-SQL much easier. OceanDynamo uses only primary indices to retrieve related table items and collections, which means it will scale without limits. OceanDynamo is fully usable as an ActiveModel and can be used by Rails controllers. Thanks to its structural similarity to ActiveRecord, OceanDynamo works with FactoryBot. See also Ocean, a Rails framework for creating highly scalable SOAs in the cloud, in which ocean-dynamo is used as a central component: http://wiki.oceanframework.net
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