Tokencap – Token budget enforcement across your AI agents

What it does

tokencap tracks token usage and enforces budgets across your AI agents - per agent, per user, or any scope you choose. Two ways to add it: Direct SDK: tokencap.wrap(anthropic.Anthropic(), limit=50_000) Any framework: tokencap.patch(limit=50_000) WARN, DEGRADE, BLOCK, or WEBHOOK when budgets are hit. SQLite out of the box, Redis for multi-agent enforcement. Zero required dependencies. pip install tokencap

Token budget enforcement for AI agents. Hard limits, configurable policy, zero infrastructure required. - pykul/tokencap

In the maker’s words, at launch

I built this after hitting the same wall repeatedly — no good way to enforce token budgets in application code. Provider caps are account-level and tell you what happened, not what is happening. Two ways to add it: # Direct client wrapper client = tokencap.wrap(anthropic.Anthropic(), limit=50_000) # LangChain…

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