Carbon provides comprehensive operational visibility into your large language model (LLM) and tool usage. Key features include:
• Capture every LLM and tool call
• Track cost over time and by model
• Identify heaviest users and tool failures
• Pinpoint where agents stall
• One unified ledger across all providers
This platform transforms raw interaction data into a queryable ledger, enabling engineering and product teams to make informed decisions. Instead of sifting through invoices and log files, you can quickly find answers to critical questions about operational efficiency and expenditure. Understand the true cost impact of new features, identify underperforming models, and monitor user behavior.
Carbon simplifies financial tracking and performance analysis by centralizing data from various providers, including OpenAI, Anthropic, Google, and many others. It groups events into customizable clusters, allowing you to drill down into costs, model usage, user activity, agent performance, and tool reliability. This detailed view helps optimize resource allocation and debug issues efficiently.
Designed for engineering teams, product managers, and developers working with sophisticated language models, Carbon helps you move beyond guesswork. It provides the essential data to understand operational spending, improve system performance, and ensure cost-effective resource utilization for development and deployment.
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