# From token consumer to token provider: Building your org's AI API

DevFeed: [From token consumer to token provider: Building your org's AI API](<https://devfeed.tech/articles/from-token-consumer-to-token-provider-building-your-org-s-ai-api-12352.md>)

Original publisher: [Read original article](<https://developers.redhat.com/articles/2026/09/10/from-token-consumer-to-token-provider-building-your-orgs-ai-api>)

Author: Markell Rawls

Published: 2026-09-10T13:01:50Z

Content type: tutorial

Language: en

Sources: [Red Hat](<https://devfeed.tech/sources/red-hat.md>), [Red Hat Developer](<https://devfeed.tech/sources/red-hat-developer.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [API](<https://devfeed.tech/topics/api.md>), [API keys](<https://devfeed.tech/topics/api-keys.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Security](<https://devfeed.tech/topics/security.md>), [NVIDIA DGX](<https://devfeed.tech/topics/nvidia-dgx.md>), [vllm](<https://devfeed.tech/topics/vllm.md>), [Claude Code](<https://devfeed.tech/topics/claude-code.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [anthropic](<https://devfeed.tech/topics/anthropic.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-inference](<https://devfeed.tech/tags/ai-inference.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [api](<https://devfeed.tech/tags/api.md>), [api-keys](<https://devfeed.tech/tags/api-keys.md>), [claude](<https://devfeed.tech/tags/claude.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [developer](<https://devfeed.tech/tags/developer.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [openai](<https://devfeed.tech/tags/openai.md>), [security](<https://devfeed.tech/tags/security.md>), [vllm](<https://devfeed.tech/tags/vllm.md>)

## AI overview

The article describes how organizations can move from independently purchasing AI-provider access and distributing API keys toward centrally managing AI infrastructure and providing internal AI APIs. It highlights rising token costs, fragmented workloads, limited visibility, and security-audit difficulties.

## Source excerpt

One of the biggest problems with AI right now is that it's expensive. If you've been anywhere near an enterprise IT budget in the last 2 years, then you already know that. Most companies that wanted to get AI into their workflows did the same thing: They signed up for a business account with an AI provider, handed out API keys, and started building. It made sense at the time because the models were good, the APIs were simple, and the alternative was standing up your own inference infrastructure, which nobody had bandwidth for. But then the bills started coming in. The post From token consumer to token provider: Building your org's AI API appeared first on Red Hat Developer.