Show HN: LLM-cost-watch – Ask Claude why your LLM bill jumped (github.com)

A new tool named "LLM-cost-watch" has been announced, enabling users to gain insights into their large language model (LLM) costs and latencies through simple queries. Integrated into Claude Desktop, Claude Code, and Antigravity, this tool allows developers to directly ask Claude about spikes in their LLM expenditures and identify latency issues. For example, users can inquire why their LLM costs increased by a specific percentage, and Claude will provide a detailed breakdown, including feature-specific spending and latency bottlenecks. This innovation is significant for the AI/ML community as it simplifies the analysis of operational costs associated with LLMs, which is often complex and time-consuming. LLM-cost-watch offers key features like identifying high-cost workflows and latency outliers while providing routing suggestions for cost savings, such as switching from GPT-4o to the more cost-effective GPT-4o-mini. This accessibility can lead to more efficient LLM usage, potentially reducing operational expenses while maintaining performance. The tool is open-source under the MIT license, inviting collaboration and further development from the community.