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This means AI Gateway requests can now be enriched with custom metadata to break down LLM costs by model, provider, user, and tag. Observe, track, and unify spend, whether for internal company usage, or for AI platform billing at scale. Try our API by asking your agent:

Vercel

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24,300 просмотров • 5 месяцев назад •via X (Twitter)

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We just made paying for the Gemini API 10x easier : ) You can now upgrade to a paid Gemini API account without leaving AI Studio, track your usage, filter spend by model, and much more to come!

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We've added Workspaces to the Anthropic Console. Workspaces let you easily manage multiple Claude deployments. You can also set custom spend or rate limits, group API keys, track usage by project, and control access with user roles. Read more:

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AI spend is now one of the fastest-growing line items at every company, but here's the problem: it's invisible to traditional spend management. We experienced this firsthand at Brex, so we built Magpie: an internal tool that sources and normalizes AI spend across every vendor so we can break it down by model, customer, employee, and workflow. What Magpie has already unlocked: → ~85% cost reduction on an audit agent through prompt caching → Real customer cost-to-serve numbers that inform pricing and margin → Model routing governance we couldn't enforce before → A surprise: operational AI is much cheaper than we assumed So why is AI spend so hard to track? Because each one exposes usage data differently (some not at all). At Brex, tool-use costs weren't tracked alongside tokens, customer attribution was inconsistent, and a meaningful chunk of our daily AI spend was unattributable. Now with Magpie, we have reliable visibility. AI spend is more complex than anything finance teams have had to manage before, and it's exactly the kind of problem Brex is built to solve, shaping how we think about the future of our platform. More below.

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Jeff Weinstein

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Horacio Lopez

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Nanopayments finally make economic sense. Our new permissionless solution, powered by Circle Gateway, enables gas-free USDC transfers down to $0.000001, built for AI agents, high-frequency payouts, and programmable internet commerce. → Autonomous agent payments → Usage-based billing → Machine-to-machine compensation → Streaming value models → Permissionless and programmable Private beta on testnet now open for developers building agentic and nanopayment apps. Gateway provides a permissionless balance where users maintain full control of their funds. Request early access:

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Everyone can build a chatbot. Not everyone can ship a secure, production-grade agent. In Episode 3 of AI Guide to the Galaxy, we break down how to enable your AI agents for the real-world deployments with Docker’s MCP Toolkit and Gateway. Watch here:

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Docker

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