# Grab's LLM-Kit Framework Standardizes More Than 500 Internal Agent Services

DevFeed: [Grab's LLM-Kit Framework Standardizes More Than 500 Internal Agent Services](<https://devfeed.tech/articles/grab-s-agent-framework-llm-kit-accelerates-ai-agent-production-deployment-26601.md>)

Original publisher: [Read original article](<https://www.infoq.com/news/2026/09/grab-agent-platform/>)

Author: Hien Luu

Published: 2026-09-15T09:00:00Z

Content type: news

Language: en

Sources: [InfoQ](<https://devfeed.tech/sources/infoq.md>)

Topics: [Framework](<https://devfeed.tech/topics/framework.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [agent observability](<https://devfeed.tech/topics/agent-observability.md>), [FastAPI](<https://devfeed.tech/topics/fastapi.md>), [OpenTelemetry](<https://devfeed.tech/topics/opentelemetry.md>), [GitLab](<https://devfeed.tech/topics/gitlab.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-ml-data-engineering](<https://devfeed.tech/tags/ai-ml-data-engineering.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [fastapi](<https://devfeed.tech/tags/fastapi.md>), [framework](<https://devfeed.tech/tags/framework.md>), [gitlab](<https://devfeed.tech/tags/gitlab.md>), [grab-agent-platform](<https://devfeed.tech/tags/grab-agent-platform.md>), [ml-data-engineering](<https://devfeed.tech/tags/ml-data-engineering.md>), [model-context-protocol](<https://devfeed.tech/tags/model-context-protocol.md>), [news](<https://devfeed.tech/tags/news.md>), [opentelemetry](<https://devfeed.tech/tags/opentelemetry.md>), [vault](<https://devfeed.tech/tags/vault.md>)

## AI overview

Grab's internal LLM-Kit framework standardizes more than 500 agent services by providing shared scaffolding for evaluation, tracing, secret handling, service discovery, and tool-server connections. The article reports that deploying a new agent service now takes about one hour instead of two weeks or more.

## Source excerpt

Grab has implemented LLM-Kit, a framework that standardizes over 500 internal agent services. This system enhances service integration, evaluation, and secret handling, reducing the time to deploy new AI agents from two weeks to one hour. It centralizes infrastructure management, allowing runtime tool discovery and flexible model integration, while maintaining operational control. By Hien Luu