An engineer asks for an API key for a new project. You need to choose its models, set a budget, and assign it to a team. As usage grows, you need to check spending and adjust those limits.
LiteAdmin MCP lets your agent handle these tasks through your gateway's management API. Connect it to an MCP client or a custom agent. We built LiteAdmin, our Slack admin agent, on the same connector.
Shared agents can preserve individual identity, access, and spend controls.
When a finance agent serves multiple business units, platform teams need a consistent way to identify who initiated each request, apply the right model and tool permissions, and attribute spend. LiteLLM keeps this context available across shared-agent workflows so each business unit can operate under its own access and budget policies.
LiteLLM provides one control plane for this workflow across the Agent Gateway, Model Gateway, and MCP Gateway. Teams can share the same agent infrastructure while keeping access, credentials, spend, and audit data tied to the right caller.
Over the last two weeks we addressed two major product quality issues:
Across the same window we shipped 134 bug fixes in total. This post covers the two big changes first, then the rest of the AI Eng and reliability work, the full breakdown, and what we are doing next.
Claude Code is one of the heaviest consumers of input tokens in a modern engineering org. Long tool loops, large file reads, and MCP catalogs with hundreds of tools push every request toward the top of the context window, and the bill scales with it.
If Claude Code already points at a LiteLLM proxy (via ANTHROPIC_BASE_URL), there are five levers the platform admin can pull to bring that cost down. None of them require a client-side change.