Vscode Antigravity Cockpit

Features

AI Model Quota Monitoring - Tracks remaining request limits and reset times across multiple AI services within the development environment.
AI Model Orchestration - Orchestrates the timing of model wakeups and quota reset cycles to manage interactions with multiple providers.
Multi-Account LLM Management - Manages multiple authorized API accounts and their associated usage quotas from a single interface.
Dashboard Viewing - Provides a specialized data grid dashboard within the editor to visualize AI model quotas and capabilities.
API Quota Retrieval - Provides the ability to retrieve usage quota data from local processes and remote authorized AI APIs.
AI Usage Quota Tracking - Tracks remaining quota percentages and reset times through a visual dashboard and quick-access lists.
Model Capability Queries - Displays supported input types and context window sizes via tooltips when interacting with model names.
Activation Schedulers - Automates the timing of model activations and quota reset cycles to ensure continuous service access.
Technical Specification Inspections - Enables rapid inspection of model context windows and supported input types during development.
Asynchronous API Aggregators - Implements a system to fetch and merge quota data from multiple remote endpoints into a unified view.
Task Schedulers - Executes timed background tasks to synchronize model wakeups with API quota reset windows.
Event-Driven UI Rendering - Triggers automatic UI refreshes across the editor whenever background monitors detect changes in AI quotas.

This project is an AI model quota monitoring and management tool for development environments. It provides a centralized interface for tracking remaining request limits, managing multiple authorized API accounts, and orchestrating AI service access.

The system synchronizes quota reset cycles and automates model activation through scheduled tasks. It enables the inspection of large language model capabilities, such as context window sizes and supported input types, while allowing models to be clustered into groups based on shared service categories.

Real-time usage data is delivered through a dedicated dashboard, status bar indicators, and tooltips. The tool aggregates quota information from both local client processes and remote APIs, using a local state cache to minimize redundant requests.

Features

AI Model Quota Monitoring - Tracks remaining request limits and reset times across multiple AI services within the development environment.
AI Model Orchestration - Orchestrates the timing of model wakeups and quota reset cycles to manage interactions with multiple providers.
Multi-Account LLM Management - Manages multiple authorized API accounts and their associated usage quotas from a single interface.
Dashboard Viewing - Provides a specialized data grid dashboard within the editor to visualize AI model quotas and capabilities.
API Quota Retrieval - Provides the ability to retrieve usage quota data from local processes and remote authorized AI APIs.
AI Usage Quota Tracking - Tracks remaining quota percentages and reset times through a visual dashboard and quick-access lists.
Model Capability Queries - Displays supported input types and context window sizes via tooltips when interacting with model names.
Activation Schedulers - Automates the timing of model activations and quota reset cycles to ensure continuous service access.
Technical Specification Inspections - Enables rapid inspection of model context windows and supported input types during development.
Asynchronous API Aggregators - Implements a system to fetch and merge quota data from multiple remote endpoints into a unified view.
Task Schedulers - Executes timed background tasks to synchronize model wakeups with API quota reset windows.
Event-Driven UI Rendering - Triggers automatic UI refreshes across the editor whenever background monitors detect changes in AI quotas.

Features

jlcodes99vscode-antigravity-cockpit

Features

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