Mortdecai
eecebe7ef5
Five-lane parallel research pass. Each subdir under tooling/ has its own README indexing downloaded files with verified upstream sources. - google-official/: deepmind-gemma JAX examples, gemma_pytorch scripts, gemma.cpp API server docs, google-gemma/cookbook notebooks, ai.google.dev HTML snapshots, Gemma 3 tech report - huggingface/: 8 gemma-4-* model cards, chat-template .jinja files, tokenizer_config.json, transformers gemma4/ source, launch blog posts, official HF Spaces app.py - inference-frameworks/: vLLM/llama.cpp/MLX/Keras-hub/TGI/Gemini API/Vertex AI comparison, run_commands.sh with 8 working launches, 9 code snippets - gemma-family/: 12 per-variant briefs (ShieldGemma 2, CodeGemma, PaliGemma 2, Recurrent/Data/Med/TxGemma, Embedding/Translate/Function/Dolphin/SignGemma) - fine-tuning/: Unsloth Gemma 4 notebooks, Axolotl YAMLs (incl 26B-A4B MoE), TRL scripts, Google cookbook fine-tune notebooks, recipe-recommendation.md Findings that update earlier CORPUS_* docs are flagged in tooling/README.md (not applied) — notably the new <|turn>/<turn|> prompt format, gemma_pytorch abandonment, gemma.cpp Gemini-API server, transformers AutoModelForMultimodalLM, FA2 head_dim=512 break, 26B-A4B MoE quantization rules, no Gemma 4 tech report PDF yet, no Gemma-4-generation specialized siblings yet. Pre-commit secrets hook bypassed per user authorization — flagged "secrets" are base64 notebook cell outputs and example Ed25519 keys in the HDP agentic-security demo, not real credentials. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
527 lines
19 KiB
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527 lines
19 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "colab-badge"
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},
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"source": [
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"<table align=\"left\">\n",
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" <td>\n",
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" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/apps/Gemma_4_HDP_Agentic_Security/Gemma_4_HDP_Agentic_Security.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
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" </td>\n",
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"</table>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "byline"
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},
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"source": [
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"# Securing Gemma 4 Agentic Workflows with HDP\n",
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"\n",
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"**Author:** Asiri Dalugoda, Helixar Limited ([@asiridalugoda](https://github.com/asiridalugoda)) | [helixar.ai](https://helixar.ai)\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "gpu-instructions"
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},
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"source": [
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"## Before you begin\n",
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"\n",
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"This notebook requires a GPU runtime. To enable GPU in Colab:\n",
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"1. Go to **Runtime → Change runtime type**\n",
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"2. Set **Hardware accelerator** to **GPU** (T4 is sufficient for E4B)\n",
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"3. Click **Save**\n",
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"\n",
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"You will also need a **Hugging Face token** to download Gemma 4 (gated model):\n",
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"1. Go to [huggingface.co/settings/tokens](https://huggingface.co/settings/tokens)\n",
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"2. Create a token with **Read** access\n",
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"3. Accept the Gemma 4 model license at [huggingface.co/google/gemma-4-E4B-it](https://huggingface.co/google/gemma-4-E4B-it)\n",
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"4. Run the cell below to authenticate"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "hf-login"
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},
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"outputs": [],
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"source": [
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"from huggingface_hub import notebook_login\n",
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"notebook_login()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "overview"
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},
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"source": [
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"# Securing Gemma 4 Agentic Workflows with HDP\n",
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"\n",
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"**Human Delegation Provenance (HDP)** is an open protocol that adds a cryptographic chain-of-custody to AI agent function calls — ensuring every tool invocation can be traced back to an authorized human principal.\n",
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"\n",
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"This notebook demonstrates how to integrate HDP with Gemma 4's native function-calling capability to:\n",
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"\n",
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"- **Verify** that Gemma 4's function calls were authorized by a human principal before execution\n",
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"- **Classify** actions by irreversibility (read-only → irreversible → physical actuation)\n",
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"- **Block** unauthorized or out-of-scope tool calls at the middleware layer\n",
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"- **Audit** every decision with a pre-execution log\n",
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"\n",
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"This is particularly relevant for Gemma 4 deployments on edge devices (Jetson Nano, Raspberry Pi) where the model may be directing physical actuators offline with no out-of-band authorization check.\n",
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"\n",
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"**References:**\n",
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"- HDP IETF draft: [draft-helixar-hdp-agentic-delegation-00](https://datatracker.ietf.org/doc/draft-helixar-hdp-agentic-delegation/)\n",
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"- HDP-P (physical AI agents): [DOI 10.5281/ZENODO.19332440](https://doi.org/10.5281/ZENODO.19332440)\n",
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"- Helixar: [helixar.ai](https://helixar.ai)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "b3600ee25c8e"
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},
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"source": [
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"## Setup"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "7a80251f52b3"
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},
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"outputs": [],
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"source": [
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"!pip install -q transformers torch cryptography"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "ed80fe18f255"
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},
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"outputs": [],
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"source": [
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"# Download the middleware\n",
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"!wget -q https://raw.githubusercontent.com/google-gemma/cookbook/refs/heads/main/apps/Gemma_4_HDP_Agentic_Security/hdp_middleware.py\n",
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"\n",
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"from hdp_middleware import (\n",
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" HDPDelegationToken,\n",
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" HDPMiddleware,\n",
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" IrreversibilityClass,\n",
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" DEFAULT_TOOL_CLASS_MAP,\n",
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")\n",
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"from cryptography.hazmat.primitives.asymmetric.ed25519 import Ed25519PrivateKey\n",
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"import json"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "e88bdc7b7265"
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},
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"source": [
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"## 1. Load Gemma 4\n",
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"\n",
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"We use the 4B Effective model for this demo. For production agentic deployments, the 26B MoE or 31B Dense models are recommended."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "1e4e7779806d"
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},
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"outputs": [],
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"source": [
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"from transformers import pipeline\n",
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"\n",
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"# For edge/robotics use cases: swap to google/gemma-4-E2B-it\n",
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"MODEL_ID = \"google/gemma-4-E4B-it\"\n",
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"\n",
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"pipe = pipeline(\n",
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" \"text-generation\",\n",
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" model=MODEL_ID,\n",
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" device_map=\"auto\",\n",
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")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "d91e36cfb0b2"
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},
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"source": [
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"## 2. Define Tools\n",
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"\n",
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"Gemma 4 uses structured JSON function-calling. We define a tool set spanning different IrreversibilityClasses to demonstrate the middleware's classification behaviour."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "1becdb52e7f8"
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},
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"outputs": [],
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"source": [
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"TOOLS = [\n",
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" {\n",
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" \"name\": \"get_weather\",\n",
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" \"description\": \"Get the current weather for a location.\",\n",
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" \"parameters\": {\n",
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" \"type\": \"object\",\n",
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" \"properties\": {\n",
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" \"location\": {\"type\": \"string\", \"description\": \"City name\"}\n",
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" },\n",
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" \"required\": [\"location\"]\n",
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" }\n",
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" },\n",
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" {\n",
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" \"name\": \"send_email\",\n",
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" \"description\": \"Send an email to a recipient.\",\n",
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" \"parameters\": {\n",
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" \"type\": \"object\",\n",
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" \"properties\": {\n",
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" \"to\": {\"type\": \"string\"},\n",
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" \"subject\": {\"type\": \"string\"},\n",
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" \"body\": {\"type\": \"string\"}\n",
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" },\n",
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" \"required\": [\"to\", \"subject\", \"body\"]\n",
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" }\n",
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" },\n",
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" {\n",
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" \"name\": \"delete_file\",\n",
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" \"description\": \"Permanently delete a file by path.\",\n",
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" \"parameters\": {\n",
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" \"type\": \"object\",\n",
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" \"properties\": {\n",
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" \"path\": {\"type\": \"string\"}\n",
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" },\n",
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" \"required\": [\"path\"]\n",
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" }\n",
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" },\n",
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" {\n",
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" \"name\": \"actuate_robot_arm\",\n",
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" \"description\": \"Command a robot arm to move to a target position.\",\n",
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" \"parameters\": {\n",
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" \"type\": \"object\",\n",
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" \"properties\": {\n",
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" \"joint_angles\": {\"type\": \"array\", \"items\": {\"type\": \"number\"}},\n",
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" \"force_limit_n\": {\"type\": \"number\"}\n",
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" },\n",
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" \"required\": [\"joint_angles\"]\n",
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" }\n",
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" }\n",
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"]\n",
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"\n",
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"# Tools indexed by name for lookup\n",
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"TOOL_REGISTRY = {t[\"name\"]: t for t in TOOLS}\n",
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"print(f\"Registered {len(TOOLS)} tools\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "722948b00a92"
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},
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"source": [
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"## 3. Issue an HDP Delegation Token\n",
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"\n",
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"The human principal generates an Ed25519 keypair and issues an HDT that specifies:\n",
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"- Which tools the agent is permitted to call\n",
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"- The maximum IrreversibilityClass the agent can act on\n",
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"- The token's lifetime"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "b0622c68dfa5"
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},
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"outputs": [],
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"source": [
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"# Human principal generates their signing keypair\n",
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"# In production: loaded from secure key storage (HSM, OS keychain, etc.)\n",
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"principal_private_key = Ed25519PrivateKey.generate()\n",
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"principal_public_key = principal_private_key.public_key()\n",
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"\n",
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"# Issue an HDT authorizing the Gemma 4 agent to call weather queries\n",
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"# and send emails (Class 0 and Class 2), but NOT delete files or actuate hardware\n",
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"token = HDPDelegationToken.issue(\n",
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" principal_id=\"alice@example.com\",\n",
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" agent_id=\"gemma4-agent-01\",\n",
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" scope=[\"get_weather\", \"send_email\"],\n",
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" max_class=IrreversibilityClass.CLASS_2,\n",
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" ttl_seconds=3600,\n",
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" private_key=principal_private_key,\n",
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")\n",
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"\n",
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"print(json.dumps(token.to_dict(), indent=2))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "e206f950f4bc"
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},
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"source": [
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"## 4. Initialise the HDP Middleware\n",
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"\n",
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"The middleware takes the principal's **public key** only — it verifies but cannot issue tokens."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "e24676f528bf"
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},
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"outputs": [],
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"source": [
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"audit_log = []\n",
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"\n",
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"# Confirmation callback for Class 2 (irreversible) actions.\n",
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"# In production: this would invoke a push notification, SMS OTP,\n",
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"# or hardware confirmation device to the human principal.\n",
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"def require_human_confirmation(tool_name: str, parameters: dict) -> bool:\n",
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" print(f\"\\n⚠️ Class 2 action requested: {tool_name}\")\n",
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" print(f\" Parameters: {json.dumps(parameters, indent=4)}\")\n",
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" response = input(\" Confirm? [y/N]: \").strip().lower()\n",
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" return response == \"y\"\n",
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"\n",
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"middleware = HDPMiddleware(\n",
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" public_key=principal_public_key,\n",
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" tool_class_map=DEFAULT_TOOL_CLASS_MAP,\n",
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" confirmation_callback=require_human_confirmation,\n",
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" audit_log=audit_log,\n",
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")\n",
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"\n",
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"print(\"HDP middleware initialised.\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "72d56542eba0"
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},
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"source": [
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"## 5. Gemma 4 Function Call → HDP Gate → Tool Execution\n",
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"\n",
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"This is the core integration pattern. Every function call Gemma 4 generates is passed through `middleware.gate()` before being forwarded to tool execution."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "da20bc191e71"
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},
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"outputs": [],
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"source": [
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"# Simulated Gemma 4 function call outputs\n",
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"# In production these come from parsing Gemma 4's structured JSON output\n",
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"gemma_function_calls = [\n",
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" # ✅ Should ALLOW — Class 0, in scope\n",
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" {\"name\": \"get_weather\", \"parameters\": {\"location\": \"Auckland\"}},\n",
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"\n",
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" # ⚠️ Should CONFIRM then ALLOW — Class 2, in scope\n",
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" {\"name\": \"send_email\", \"parameters\": {\n",
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" \"to\": \"bob@example.com\",\n",
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" \"subject\": \"Weekly report\",\n",
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" \"body\": \"Please find attached.\"\n",
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" }},\n",
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"\n",
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" # ❌ Should BLOCK — Class 2, NOT in HDT scope\n",
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" {\"name\": \"delete_file\", \"parameters\": {\"path\": \"/data/important.csv\"}},\n",
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"\n",
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" # ❌ Should BLOCK — Class 3, physical actuation\n",
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" {\"name\": \"actuate_robot_arm\", \"parameters\": {\n",
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" \"joint_angles\": [0.0, -1.57, 0.0, -1.57, 0.0, 0.0],\n",
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" \"force_limit_n\": 50.0\n",
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" }},\n",
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"]\n",
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"\n",
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"print(\"=\" * 60)\n",
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"print(\"HDP VERIFICATION RESULTS\")\n",
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"print(\"=\" * 60)\n",
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"\n",
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"for call in gemma_function_calls:\n",
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" result = middleware.gate(call, token)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "be0d0dd05bce"
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},
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"source": [
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"## 6. Audit Log\n",
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"\n",
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"Every decision is logged pre-execution. This is the HDP audit trail — a cryptographically linked record of what was authorized, by whom, and when."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "e6dbab6d88d1"
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},
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"outputs": [],
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"source": [
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"print(\"\\nAUDIT LOG\")\n",
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"print(\"-\" * 60)\n",
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"for i, entry in enumerate(audit_log):\n",
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" status = \"✅ ALLOWED\" if entry.allowed else \"❌ BLOCKED\"\n",
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" print(f\"{i+1}. {status} | {entry.tool_name} | {entry.action_class.name} | {entry.reason}\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "bcadcb7040db"
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},
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"source": [
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"## 7. Token Expiry and Scope Violation Demo\n",
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"\n",
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"Demonstrate that expired tokens and out-of-scope calls are blocked regardless of the action class."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "deb2e3b6b20e"
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},
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"outputs": [],
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"source": [
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"import time\n",
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"\n",
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"# Issue a token that's already expired\n",
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"expired_token = HDPDelegationToken.issue(\n",
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" principal_id=\"alice@example.com\",\n",
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" agent_id=\"gemma4-agent-01\",\n",
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" scope=[\"get_weather\"],\n",
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" max_class=IrreversibilityClass.CLASS_0,\n",
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" ttl_seconds=-1, # expired immediately\n",
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" private_key=principal_private_key,\n",
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")\n",
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"\n",
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"print(\"Testing expired token:\")\n",
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"middleware.gate({\"name\": \"get_weather\", \"parameters\": {\"location\": \"Auckland\"}}, expired_token)\n",
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"\n",
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"print(\"\\nTesting call outside HDT scope:\")\n",
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"middleware.gate({\"name\": \"delete_file\", \"parameters\": {\"path\": \"/etc/passwd\"}}, token)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "b8f4acddb6fa"
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},
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"source": [
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"## 8. Edge / Robotics Deployment (HDP-P)\n",
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"\n",
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"For Gemma 4 E2B/E4B running on Jetson Nano or Raspberry Pi and directing physical actuators, use the HDP-P extension. The key additions are:\n",
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"\n",
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"- **Embodiment context** — bind the token to a specific hardware ID\n",
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"- **Policy attestation** — hash the deployed model weights into the token\n",
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"- **Fleet delegation constraints** — prevent lateral movement across robot fleet\n",
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"- **Pre-execution logging** — write audit records *before* actuator commands are issued\n",
|
|
"\n",
|
|
"See the [HDP-P specification](https://doi.org/10.5281/ZENODO.19332440) for the full EDT extension structure."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"id": "fcf7b451d175"
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Minimal HDP-P Embodied Delegation Token (EDT) extension example\n",
|
|
"# This shows how to attach physical constraints to an HDT\n",
|
|
"\n",
|
|
"hdp_p_extension = {\n",
|
|
" \"hdp-p\": {\n",
|
|
" \"version\": \"0.1\",\n",
|
|
" \"embodiment\": {\n",
|
|
" \"type\": \"mobile\",\n",
|
|
" \"platform\": \"raspberry-pi-5\",\n",
|
|
" \"hardware_id\": \"rpi-serial-XXXX\", # TPM-attested in production\n",
|
|
" \"workspace\": \"lab-zone-a\"\n",
|
|
" },\n",
|
|
" \"action_scope\": {\n",
|
|
" \"permitted_actions\": [\"move_base\", \"read_sensor\"],\n",
|
|
" \"excluded_zones\": [\"human-workspace\"],\n",
|
|
" \"force_limit_n\": 10.0,\n",
|
|
" \"max_velocity_ms\": 0.5\n",
|
|
" },\n",
|
|
" \"irreversibility\": {\n",
|
|
" \"max_class\": 1, # Class 1 max for this token\n",
|
|
" \"class2_requires_confirmation\": True,\n",
|
|
" \"class3_prohibited\": True\n",
|
|
" },\n",
|
|
" \"policy_attestation\": {\n",
|
|
" \"policy_hash\": \"sha256:abc123...\", # SHA-256 of deployed model weights\n",
|
|
" \"training_run_id\": \"gemma4-e2b-it\",\n",
|
|
" \"sim_validated\": True\n",
|
|
" },\n",
|
|
" \"delegation_scope\": {\n",
|
|
" \"fleet_delegation_permitted\": False, # No lateral movement\n",
|
|
" \"max_delegation_depth\": 0\n",
|
|
" }\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"print(\"HDP-P EDT extension structure:\")\n",
|
|
"print(json.dumps(hdp_p_extension, indent=2))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"id": "b0af7c701dfc"
|
|
},
|
|
"source": [
|
|
"## Summary\n",
|
|
"\n",
|
|
"| Layer | What it solves | Tool |\n",
|
|
"|---|---|---|\n",
|
|
"| Gemma 4 function calling | Model generates structured tool calls | `pipeline(\"text-generation\")` |\n",
|
|
"| HDP middleware | Was this call authorized by a human? | `HDPMiddleware.gate()` |\n",
|
|
"| HDP-P EDT extension | Is this physical action within delegated bounds? | `hdp_p_extension` |\n",
|
|
"| Audit log | Pre-execution record of every decision | `audit_log` |\n",
|
|
"\n",
|
|
"The full HDP specification (IETF draft), HDP-P companion paper, TypeScript SDK, and Python bindings are available at:\n",
|
|
"\n",
|
|
"- **IETF draft:** https://datatracker.ietf.org/doc/draft-helixar-hdp-agentic-delegation/\n",
|
|
"- **HDP-P paper:** https://doi.org/10.5281/ZENODO.19332440\n",
|
|
"- **GitHub:** https://github.com/Helixar-AI\n",
|
|
"- **Site:** https://helixar.ai"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"colab": {
|
|
"name": "Gemma_4_HDP_Agentic_Security.ipynb",
|
|
"toc_visible": true
|
|
},
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"name": "python3"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 0
|
|
}
|