Cost in AI will vary per user and department. If an engineer is refactoring a codebase or observing an environment to fix anomalies, the token spend may differ from that of someone in
Tokens turn into dollars, and the tokens are expanded upon in many different ways. Input tokens, output tokens, agent context racking up tokens due to ingesting MCP Server tools, and token output increasing
As agentic runtimes continue to grow in both features/how they’re used and new agentic runtimes come out, how we interact with Agents, Models, and MCPs will alter. For example, if you’
A Model is the “brains of the operation”, but what about everything else around it? Agents authenticating to Models, MCP Servers being exposed to all Agents without security, specialized information not being available,
With any agent sandbox or client that you use for interacting with LLMs, the same question will always arise: how can I securely, and in an observable fashion, connect to endpoints (LLMs, MCP
