52817e8c22
Addresses issue where Opus fast model was limited to 200k tokens instead of supporting extended context length. Changes: - Add OPUS_FAST_CONFIGURATION.md with environment variable setup - Add FAST_MODEL_CONFIG.md in migration plugin for fast deployment - Update migration guide to include fast model strings and configuration - Provide VSCode configuration options for fast model usage The fast deployment supports >200k tokens and resolves the error: "prompt is too long: 282789 tokens > 200000 maximum" Configuration: Set ANTHROPIC_DEFAULT_OPUS_MODEL="claude-opus-4-5-20251101-fast"
Claude Code
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows -- all through natural language commands. Use it in your terminal, IDE, or tag @claude on Github.
Learn more in the official documentation.
Get started
- Install Claude Code:
MacOS/Linux:
curl -fsSL https://claude.ai/install.sh | bash
Homebrew (MacOS):
brew install --cask claude-code
Windows:
irm https://claude.ai/install.ps1 | iex
NPM:
npm install -g @anthropic-ai/claude-code
NOTE: If installing with NPM, you also need to install Node.js 18+
- Navigate to your project directory and run
claude.
Plugins
This repository includes several Claude Code plugins that extend functionality with custom commands and agents. See the plugins directory for detailed documentation on available plugins.
Reporting Bugs
We welcome your feedback. Use the /bug command to report issues directly within Claude Code, or file a GitHub issue.
Connect on Discord
Join the Claude Developers Discord to connect with other developers using Claude Code. Get help, share feedback, and discuss your projects with the community.
Data collection, usage, and retention
When you use Claude Code, we collect feedback, which includes usage data (such as code acceptance or rejections), associated conversation data, and user feedback submitted via the /bug command.
How we use your data
See our data usage policies.
Privacy safeguards
We have implemented several safeguards to protect your data, including limited retention periods for sensitive information, restricted access to user session data, and clear policies against using feedback for model training.
For full details, please review our Commercial Terms of Service and Privacy Policy.