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Tokencap – Token budget enforcement across your AI agents

Tokencap – Token budget enforcement across your AI agents

Apr 4, 2026 AI & Machine Learning
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Tokencap – Token budget enforcement across your AI agents

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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, CrewAI, AutoGen, etc. tokencap.patch(limit=50_000) Four actions at configurable thresholds: WARN, DEGRADE (transparent model swap), BLOCK, and WEBHOOK. SQLite out of the box, Redis for multi-agent setups.One design decision worth mentioning: tokencap tracks tokens, not dollars. Token counts come directly from the provider response and never drift with pricing changes.Happy to answer any questions.

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