AI 编码工具的基础：Mantle、Gateway 和 LiteLLM 的决策指南
📄 中文摘要
拥有 AWS 积分的用户希望将其用于 AI 编码工具，如 OpenCode、Codex CLI 和 Claude Code。Amazon Bedrock 提供了相应的模型，但连接这些模型的方式有三种选择，错误的选择可能会浪费时间。对于希望快速实现的用户，推荐使用 Mantle 和 OpenCode，五分钟内即可完成，无需基础设施。如果需要通过 OpenAI API 访问 Claude 模型，则应选择在 Lambda 上使用 bedrock-access-gateway。对于特定需要 Claude Code 的用户，LiteLLM 是一个合适的选择。选择合适的工具可以有效利用 AWS 积分。
📄 English Summary
Bedrock for AI Coding Tools: Mantle vs Gateway vs LiteLLM — A Decision Guide for AWS Credit Burners
Users with AWS credits looking to utilize AI coding tools like OpenCode, Codex CLI, and Claude Code can leverage Amazon Bedrock, which hosts the necessary models. However, there are three approaches to connect these models, and choosing incorrectly can lead to wasted time. For those wanting a quick setup, Mantle combined with OpenCode is recommended, allowing for a five-minute setup with zero infrastructure. If access to Claude models via the OpenAI API is required, using the bedrock-access-gateway on Lambda is the way to go. For specific needs related to Claude Code, LiteLLM is a suitable option. Selecting the right tool can maximize the use of AWS credits.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等