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TapPass documentation

The authority layer for agentic AI. Keep the tools your teams already use, point them at TapPass, and every call runs through your policy and lands on the record.

TapPass is the governance layer between your AI agents and the models, tools, and data they use. It decides what each agent is allowed to do, enforces it in real time, and records every decision in one audit trail, without rewriting your apps. Read what TapPass is.

How TapPass works: your apps and agents send calls through TapPass, which governs, enforces, and records them before they reach models and tools, with every decision landing in the audit trail.

Four steps from an ungoverned call to full compliance evidence. New here? The Quick Start walks the whole journey: create an agent, add a policy, then watch and enforce.

Terminal window
pip install tappass
from tappass import Agent
agent = Agent("https://tappass.example.com", "tp_...")
response = agent.chat("What are the GDPR requirements?")
print(response.content)

Or, no code at all:

Terminal window
export OPENAI_BASE_URL=https://tappass.example.com/v1
export OPENAI_API_KEY=tp_...

Every call, from Cursor, Copilot, LangChain, CrewAI, or curl, now flows through your governance pipeline.