The agent framework where the model never holds the trigger — every consequential action clears your policy first, waits for a human when it matters, and lands on a record you can verify. Build on it, or put it around the agent you already have.
Drop Tulip's control runtime (admit() gate + tamper-evident audit) into the agent framework you already use — LangChain, LangGraph, CrewAI, the OpenAI Agents SDK, LlamaIndex.
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