Kakunin Samples

Comply with MiCA Art. 72 and EU AI Act in under 10 minutes.

End-to-end integration samples for the Kakunin AI agent compliance API.

⭐ If this saves you compliance headaches, star this repo.

Kakunin issues X.509 cryptographic identities to AI agents, monitors their behaviour in real time, and generates MiCA & EU AI Act compliance reports — all via API.

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Samples

Language / Framework	Folder	What it demonstrates
TypeScript	typescript/	Full agent lifecycle — register, certify, events, report
Python	python/	Same lifecycle, async httpx client
curl / shell	curl/	Bare HTTP — works in any CI pipeline
Go	go/	stdlib only, no dependencies
LangChain (Python)	langchain/	KakuninToolGuard — scope-enforced tool calls
LangChain (TypeScript)	typescript/langchain-guard/	KakuninToolGuard — scope-enforced tool calls for JS/TS
LlamaIndex	llamaindex/	KakuninFunctionToolGuard — RAG tools with cert verification
CrewAI	crewai/	KakuninCrewAgent — per-agent certs in multi-agent crews
AutoGen	autogen/	KakuninConversableAgent — cert-gated replies
Next.js	nextjs/	App Router API routes + middleware cert enforcement
Vercel AI SDK	typescript/vercel-ai/	createKakuninTools — compliance tools for the Vercel AI SDK
Vercel AI SDK + Next.js (Chat)	nextjs-vercel-ai/	Stream-chat interface using Vercel AI SDK tools & Deploy Button
Mastra	typescript/mastra/	KakuninIntegration — compliance tools for Mastra agents & workflows

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Quickstart

Prerequisites: API key from dashboard → API Keys

TypeScript (Node ≥ 18):

cd typescript && npm install
KAKUNIN_API_KEY=kak_live_... npx ts-node quickstart.ts

Python (3.9+):

cd python && pip install -r requirements.txt
KAKUNIN_API_KEY=kak_live_... python quickstart.py

curl:

KAKUNIN_API_KEY=kak_live_... ./curl/quickstart.sh

Go:

KAKUNIN_API_KEY=kak_live_... go run go/main.go

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Framework integrations

The kakunin Python SDK ships scope-enforcement wrappers for all major agentic frameworks:

pip install kakunin

Integration	Class	Scope check fires
LangChain	KakuninToolGuard	Per-tool invocation
LangChain	langchain_scope_callback	Per-chain (before first LLM call)
LlamaIndex	KakuninFunctionToolGuard	Per-tool call
CrewAI	KakuninCrewAgent	Per-task execution
AutoGen	KakuninConversableAgent	Per-reply

See langchain/ for a full example. Full reference: kakunin.ai/docs/python-sdk.

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Use in CI (reusable GitHub Actions workflow)

jobs:
  certify:
    uses: nqzai/kakunin-samples/.github/workflows/certify-agent.yml@main
    with:
      agent_name: my-production-agent
      model: gpt-4o
      version: ${{ github.sha }}
    secrets:
      KAK_API_KEY: ${{ secrets.KAKUNIN_API_KEY }}

Outputs agent_id and cert_serial for downstream steps. See .github/workflows/certify-agent.yml.

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API reference

Endpoint	Description
POST /api/v1/agents	Register an agent
POST /api/v1/certificates	Issue X.509 certificate
POST /api/v1/events	Record a behaviour event
POST /api/v1/reports/compliance	Queue a compliance report
GET /api/v1/verify/:serial	Verify a certificate (public, no auth)

Full OpenAPI spec: kakunin.ai/api/v1/openapi.json

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Authentication

All endpoints except /verify/* require a Bearer token:

Authorization: Bearer kak_live_...

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Error handling

Status	Meaning
401	Invalid or revoked API key
403	Certificate revoked or scope violation
422	Quota exceeded
429	Rate limit exceeded — retry after Retry-After seconds
5xx	Internal error — contact ai@kakunin.ai

All errors return { "error": "string" }.

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Support

• Docs: kakunin.ai/docs
• Python SDK: kakunin.ai/docs/python-sdk
• Email: ai@kakunin.ai
• Issues: open a GitHub issue in this repo