Anthropic ties higher Claude Code and API limits to new compute capacity, making capacity itself part of the agent-product story.
Claude Code limits directly shape how long developers can run agent loops before hitting operational walls.
More compute raises the ceiling for token-heavy coding workflows, which makes spend controls and outcome checks more important, not less.
Use it as an official capacity source for Claude Code, with caution around provider incentives and platform-specific limits.
BerriAI/litellm
An OpenAI-compatible gateway and SDK for calling many model providers with budgets, logging, load balancing, guardrails, and cost tracking.
langfuse/langfuse
Open-source LLM engineering platform for observability, traces, metrics, evals, prompt management, datasets, and playground workflows.
langchain-ai/langgraph
A framework for building resilient stateful agents with explicit graphs, persistence, human-in-the-loop flows, and controllable execution.
XDA's Mahnoor Faisal ran five coding jobs on Sonnet 5 twice from an identical starting codebase, changing only the effort level. High spent about 26,000 output tokens; Medium finished the same work on roughly 14,300.
Express Computer interviews New Relic India's Ganesh Narasimhadevara on why AI bills keep climbing while the blended cost per million tokens has fallen over a year, from $18.40 in Q1 2025 down to $6.07 in Q1 2026.
At Splunk .conf on Sept. 15, Cisco added a Tokenomics module to Splunk Agent Observability. It attributes token spend across AI agents and across employees' use of coding agents, naming Claude Code, Codex and Cursor.