TapPass Examples
Integration examples for AI agent governance

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Code examples showing how to integrate TapPass with popular AI frameworks, no-code platforms, and deployment environments.

TapPass sits between your AI agents and the LLM. Every call is scanned for PII, prompt injection, and policy violations, then classified, logged, and audited.

Quick start

# Install TapPass
pip install "tappass>=0.7.0,<0.8"

# Start the server + register your first agent
tappass quickstart

Examples

Frameworks (Python)

Example	Framework	What it shows
openai-basic/	OpenAI SDK	Drop-in governance. Change base_url, done.
openai-streaming/	OpenAI SDK	Streaming responses with full governance
crewai/	CrewAI	Multi-agent crew with governed tools + LLM
langchain/	LangChain	ReAct agent with governed tool execution
llamaindex/	LlamaIndex	RAG pipeline with governed LLM
pydantic-ai/	Pydantic AI	Type-safe agent with governed tools
anthropic/	Anthropic SDK	Claude through TapPass governance
fastapi/	FastAPI	Microservice with governed LLM as a dependency
http-only/	Any (httpx)	Raw HTTP. No SDK needed.

No-code platforms

Example	Platform	What it shows
n8n/	n8n	Govern AI nodes by changing the base URL
make/	Make (Integromat)	HTTP module pointing at TapPass
zapier/	Zapier	Custom API action through TapPass gateway

Zero-code (env vars only)

Example	Tool	What it shows
env-vars/	Any OpenAI/Anthropic tool	Set 2 env vars. No code changes.

DevOps

Example	Platform	What it shows
docker/	Docker Compose	TapPass + your agent in containers
kubernetes/	Kubernetes	Sidecar pattern for governed agents

Pipeline config

Example	What it shows
pipeline/	Pipeline YAML configuration and presets

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How it works

Your Agent (any framework)
  |
  v
TapPass Gateway ── governance pipeline ──> LLM / Tool
  |
  Before               During              After
  ├─ PII detection     ├─ LLM/tool call    ├─ Output scanning
  ├─ Secret scanning   ├─ Permissions      ├─ Cost tracking
  ├─ Injection block   ├─ Human approval   └─ Audit trail
  └─ Classification    └─ Rate limiting

Requirements

• Python 3.10+
• pip install "tappass>=0.7.0,<0.8"
• A running TapPass server (tappass up)

Links

• TapPass website
• Documentation
• Python SDK on PyPI

License

Apache 2.0. See LICENSE.