Grab 的 LLM-Kit 框架加速 AI Agent 生产部署
原标题：Grab's Agent Framework LLM-Kit Accelerates AI Agent Production Deployment
AI 摘要
Grab 将其内部 LLM-Kit 框架标准化应用于 500 多个内部 agent 服务，该框架提供基础 agent 循环以及评估、追踪、密钥管理和工具服务器连接等预置能力。新 agent 服务接入生产环境的时间从两周以上缩短到约一小时，节省主要来自基础设施而非推理循环。agent 在运行时从 50 多个 MCP 服务器发现工具，并通过 OpenAI 兼容的 GrabGPT Gateway 访问五家模型提供商。Grab 选择框架而非平台，以避免被僵化假设锁定。
正文节选
Grab has standardized more than 500 internal agent services on LLM-Kit, an internal framework of scaffolding and integrations that hands a new service a basic agent loop plus evaluation, tracing, secret handling, and tool-server connections already wired in. Agents discover their tools at runtime from over 50 MCP servers and reach models through a single gateway, so new capabilities and new providers arrive as registration or configuration rather than redeployment. Wiring a new AI agent service