Beautiful CCG FAQs

Question 1

Does bccg support GitHub Copilot CLI for multi-model access?

Accepted Answer

Absolutely! Beautiful CCG seamlessly integrates with the GitHub Copilot CLI, providing access to 18 different LLMs including Claude, GPT, Gemini, and Grok models through a single adapter, allowing you to leverage a wide array of AI capabilities.

Question 2

How does bccg route prompts to different LLMs?

Accepted Answer

bccg offers intelligent auto-routing with strategies such as 'cheap-first' (lowest cost), 'quality-first' (best model), 'balanced' (task-type classification), and 'parallel' (run all concurrently). You can also configure custom routing rules or specify a particular adapter and model.

Question 3

Can I use multiple LLMs together in a sequence?

Accepted Answer

Yes, bccg features a powerful Pipeline DSL (Domain Specific Language) that allows you to chain multiple LLM CLIs sequentially. The output of each step feeds into the next, enabling complex multi-step AI workflows like 'gemini:summarize -> codex:implement -> claude:review'.

Question 4

Is Beautiful CCG difficult to set up or configure?

Accepted Answer

Not at all. Beautiful CCG provides a 'bccg init' command for zero-config setup. It automatically detects installed AI CLIs, generates a default configuration, and registers bccg as an MCP server, getting you up and running quickly with minimal effort.

Question 5

What is Beautiful CCG (bccg) and what does it do?

Accepted Answer

Beautiful CCG (bccg) is an MCP server and CLI that orchestrates prompts across multiple AI CLIs like Claude Code, GitHub Copilot, OpenAI Codex, and Google Gemini. It enables you to unify these tools, chain them into pipelines, and route prompts using various strategies for optimal performance and cost.

Beautiful CCG

Beautiful CCG

주요 기능

사용 사례

주요 기능

사용 사례