wehub-resource-sync
609 lines
24 KiB
Plaintext
609 lines
24 KiB
Plaintext
{
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"cells": [
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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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"cellView": "form",
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"id": "sqi5B7V_Rjim"
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},
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"outputs": [],
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"source": [
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"# @title Copyright 2025 Google LLC\n",
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"#\n",
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"# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
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"# you may not use this file except in compliance with the License.\n",
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"# You may obtain a copy of the License at\n",
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"#\n",
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"# https://www.apache.org/licenses/LICENSE-2.0\n",
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"#\n",
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"# Unless required by applicable law or agreed to in writing, software\n",
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"# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
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"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
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"# See the License for the specific language governing permissions and\n",
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"# limitations under the License."
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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": "VyPmicX9RlZX"
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},
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"source": [
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"# Intro to thought signatures with REST API\n",
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"\n",
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"<table align=\"left\">\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/generative-ai/blob/main/gemini/thinking/intro_thought_signatures_rest.ipynb\">\n",
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" <img width=\"32px\" src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Google Colaboratory logo\"><br> Open in Colab\n",
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" </a>\n",
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" </td>\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://console.cloud.google.com/vertex-ai/colab/import/https:%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fgenerative-ai%2Fmain%2Fgemini%2Fthinking%2Fintro_thought_signatures_rest.ipynb\">\n",
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" <img width=\"32px\" src=\"https://lh3.googleusercontent.com/JmcxdQi-qOpctIvWKgPtrzZdJJK-J3sWE1RsfjZNwshCFgE_9fULcNpuXYTilIR2hjwN\" alt=\"Google Cloud Colab Enterprise logo\"><br> Open in Colab Enterprise\n",
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" </a>\n",
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" </td>\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/generative-ai/main/gemini/thinking/intro_thought_signatures_rest.ipynb\">\n",
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" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\"><br> Open in Vertex AI Workbench\n",
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" </a>\n",
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" </td>\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/thinking/intro_thought_signatures_rest.ipynb\">\n",
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" <img width=\"32px\" src=\"https://raw.githubusercontent.com/primer/octicons/refs/heads/main/icons/mark-github-24.svg\" alt=\"GitHub logo\"><br> View on GitHub\n",
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" </a>\n",
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" </td>\n",
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"</table>\n",
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"\n",
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"<p>\n",
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"<b>Share to:</b>\n",
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"\n",
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"<a href=\"https://www.linkedin.com/sharing/share-offsite/?url=https%3A//github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/thinking/intro_thought_signatures_rest.ipynb\" target=\"_blank\">\n",
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" <img width=\"20px\" src=\"https://upload.wikimedia.org/wikipedia/commons/8/81/LinkedIn_icon.svg\" alt=\"LinkedIn logo\">\n",
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"</a>\n",
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"\n",
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"<a href=\"https://bsky.app/intent/compose?text=https%3A//github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/thinking/intro_thought_signatures_rest.ipynb\" target=\"_blank\">\n",
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" <img width=\"20px\" src=\"https://upload.wikimedia.org/wikipedia/commons/7/7a/Bluesky_Logo.svg\" alt=\"Bluesky logo\">\n",
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"</a>\n",
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"\n",
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"<a href=\"https://twitter.com/intent/tweet?url=https%3A//github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/thinking/intro_thought_signatures_rest.ipynb\" target=\"_blank\">\n",
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" <img width=\"20px\" src=\"https://upload.wikimedia.org/wikipedia/commons/5/5a/X_icon_2.svg\" alt=\"X logo\">\n",
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"</a>\n",
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"\n",
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"<a href=\"https://reddit.com/submit?url=https%3A//github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/thinking/intro_thought_signatures_rest.ipynb\" target=\"_blank\">\n",
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" <img width=\"20px\" src=\"https://redditinc.com/hubfs/Reddit%20Inc/Brand/Reddit_Logo.png\" alt=\"Reddit logo\">\n",
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"</a>\n",
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"\n",
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"<a href=\"https://www.facebook.com/sharer/sharer.php?u=https%3A//github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/thinking/intro_thought_signatures_rest.ipynb\" target=\"_blank\">\n",
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" <img width=\"20px\" src=\"https://upload.wikimedia.org/wikipedia/commons/5/51/Facebook_f_logo_%282019%29.svg\" alt=\"Facebook logo\">\n",
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"</a>\n",
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"</p>"
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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": "8MqT58L6Rm_q"
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},
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"source": [
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"| Authors |\n",
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"| --- |\n",
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"| [Eric Dong](https://github.com/gericdong) |"
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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": "nVxnv1D5RoZw"
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},
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"source": [
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"## Overview\n",
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"\n",
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"A thought signature is an encrypted representation of the model's internal reasoning process for a given turn in a conversation. By passing this signature back to the model in subsequent requests, you provide it with the context of its previous thoughts, allowing it to build upon its reasoning and maintain a coherent line of inquiry.\n",
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"\n",
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"This tutorial explores how to use the thought signatures feature of the Gemini API with cURL and the REST API."
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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": "gPiTOAHURvTM"
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},
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"source": [
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"## Getting Started"
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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": "5f7c203ffaa1"
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},
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"source": [
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"### Install required libraries"
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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": "4e66b2f6d36f"
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},
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"outputs": [],
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"source": [
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"%%capture\n",
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"\n",
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"!sudo apt install -q jq"
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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": "dmWOrTJ3gx13"
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},
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"source": [
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"### Authenticate your notebook environment (Colab only)\n",
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"\n",
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"If you are running this notebook on Google Colab, run the following cell to authenticate your environment."
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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": "NyKGtVQjgx13"
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},
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"outputs": [],
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"source": [
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"import sys\n",
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"\n",
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"if \"google.colab\" in sys.modules:\n",
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" from google.colab import auth\n",
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"\n",
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" auth.authenticate_user()"
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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": "O6ZGaZlxP9L0"
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},
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"source": [
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"### Set Google Cloud project\n",
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"\n",
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"To get started using Vertex AI, you must have an existing Google Cloud project and [enable the Vertex AI API](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com).\n",
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"\n",
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"Learn more about [setting up a project and a development environment](https://cloud.google.com/vertex-ai/docs/start/cloud-environment)."
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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": "u8IivOG5SqY6"
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},
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"outputs": [],
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"source": [
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"import os\n",
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"\n",
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"# fmt: off\n",
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"PROJECT_ID = \"[your-project-id]\" # @param {type: \"string\", placeholder: \"[your-project-id]\", isTemplate: true}\n",
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"# fmt: on\n",
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"if not PROJECT_ID or PROJECT_ID == \"[your-project-id]\":\n",
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" PROJECT_ID = str(os.environ.get(\"GOOGLE_CLOUD_PROJECT\"))\n",
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"\n",
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"LOCATION = os.environ.get(\"GOOGLE_CLOUD_REGION\", \"global\")\n",
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"\n",
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"os.environ[\"GOOGLE_CLOUD_PROJECT\"] = PROJECT_ID\n",
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"os.environ[\"GOOGLE_CLOUD_REGION\"] = LOCATION"
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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": "854fbf388e2b"
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},
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"source": [
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"## Use the Gemini 2.5 Flash model"
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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": "7eeb063ac6d4"
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},
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"outputs": [],
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"source": [
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"MODEL_ID = \"gemini-2.5-flash\"\n",
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"\n",
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"api_host = \"aiplatform.googleapis.com\"\n",
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"if LOCATION != \"global\":\n",
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" api_host = f\"{LOCATION}-aiplatform.googleapis.com\"\n",
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"\n",
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"os.environ[\"API_ENDPOINT\"] = (\n",
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" f\"{api_host}/v1/projects/{PROJECT_ID}/locations/{LOCATION}/publishers/google/models/{MODEL_ID}\"\n",
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")\n",
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"API_ENDPOINT = os.environ[\"API_ENDPOINT\"]"
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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": "37CH91ddY9kG"
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},
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"source": [
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"## Use Thought Signatures\n",
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"\n",
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"When thinking is enabled, the API response includes a `thought_signature` field containing an encrypted representation of the model's reasoning. When a function's execution result is sent back to the server, including the `thought_signature` allows the model to restore its previous thinking context, which will likely improve function calling performance.\n",
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"\n",
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"Optionally, to enable thought summaries, include the `\"thinking_config\": { \"include_thoughts\": true }` object in your request body. "
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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": "hlVCCsncIlYJ"
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},
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"source": [
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"## Example: Conditional Thermostat Control\n",
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"\n",
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"In this scenario, a user wants to set a thermostat based on the current weather. The request is: \"If it's too hot or too cold in London, set the thermostat to a comfortable temperature.\"\n",
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"\n",
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"This requires the model to:\n",
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"\n",
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"- Call a tool to get the weather in London.\n",
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"- Use the returned weather information to decide if another tool needs to be called.\n",
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"- Call the tool to set the thermostat if the condition is met."
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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": "vTWbrR1RJP_K"
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},
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"source": [
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"### **Step 1**: First Turn - Get the Weather\n",
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"\n",
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"We send the initial prompt to the model, along with the definitions of the tools it can use and the configuration to enable thinking. We expect it to call the `get_current_temperature` function and return a thought signature to maintain the context of the user's conditional request."
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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": "p8-eTvw5oDE8"
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},
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"outputs": [],
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"source": [
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"%%bash\n",
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"\n",
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"curl -X POST \\\n",
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"-H \"Authorization: Bearer $(gcloud auth print-access-token)\" \\\n",
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"-H \"Content-Type: application/json\" \\\n",
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"https://${API_ENDPOINT}:generateContent \\\n",
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"-d @- \\\n",
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"> response1.json 2>/dev/null <<EOF\n",
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"{\n",
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" \"contents\": {\n",
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" \"role\": \"user\",\n",
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" \"parts\": { \"text\": \"If it is too hot or too cold in London, set the temperature to a comfortable level. Make your own reasonable assumption for what comfortable means and do not ask for clarification.\" }\n",
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" },\n",
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" \"tools\": [\n",
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" {\n",
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" \"function_declarations\": [\n",
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" {\n",
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" \"name\": \"get_current_temperature\",\n",
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" \"description\": \"Gets the current weather temperature for a given location.\",\n",
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" \"parameters\": { \"type\": \"object\", \"properties\": {\"location\": {\"type\": \"string\"}}, \"required\": [\"location\"] }\n",
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" },\n",
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" {\n",
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" \"name\": \"set_thermostat_temperature\",\n",
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" \"description\": \"Sets the thermostat to a desired temperature.\",\n",
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" \"parameters\": { \"type\": \"object\", \"properties\": {\"temperature\": {\"type\": \"integer\"}}, \"required\": [\"temperature\"] }\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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" \"generationConfig\": {\n",
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" \"thinking_config\": {\n",
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" \"include_thoughts\": true\n",
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" },\n",
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" }\n",
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"}\n",
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"EOF"
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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": "cGJElxiGuDbc"
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},
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"outputs": [],
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"source": [
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"%%bash\n",
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"\n",
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"echo \"--- Function Call ---\"\n",
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"jq -r '.candidates[0].content.parts[] | select(.functionCall) | .functionCall.name' response1.json\n",
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"\n",
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"echo \"--- Thought Signature ---\"\n",
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"jq -r '.candidates[0].content.parts[] | select(.functionCall) | .thoughtSignature' response1.json\n",
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"\n",
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"echo \"--- Thought Summary ---\"\n",
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"jq -r '.candidates[0].content.parts[] | select(.thought) | .text' response1.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": "DOWwBqHuLUQ-"
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},
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"source": [
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"### **Step 2**: Second Turn - Set the Thermostat\n",
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"\n",
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"Now, we send the model's previous response (containing the `functionCall` and the `thought_signature`) and the result from our first tool call back to the model. We will hardcode the values from the previous response for this demonstration.\n",
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"\n",
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"⚠️ In this case, you modify the conversation history manually, instead of sending the complete previous response and want to benefit from thinking you must correctly handle the `thought_signature` included in the model's turn.\n",
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"\n",
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"Follow these rules to ensure the model's context is preserved:\n",
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"\n",
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"- Always send the `thought_signature` back to the model inside its original Part.\n",
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"- Don't merge a Part containing a signature with one that does not. This breaks the positional context of the thought.\n",
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"- Don't combine two Parts that both contain signatures, as the signature strings cannot be merged."
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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": "R4jrEbRNc-H1"
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},
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"outputs": [],
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"source": [
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"jq_output = !jq -r '.candidates[0].content.parts[] | select(.functionCall) | .thoughtSignature' response1.json\n",
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"\n",
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"os.environ[\"THOUGHT_SIGNATURE_1\"] = jq_output[0]"
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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": "xP0jQlZokYfj"
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},
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"outputs": [],
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"source": [
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"%%bash\n",
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"\n",
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"curl -X POST \\\n",
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"-H \"Authorization: Bearer $(gcloud auth print-access-token)\" \\\n",
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"-H \"Content-Type: application/json\" \\\n",
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"\"https://${API_ENDPOINT}:generateContent\" \\\n",
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"-d @- \\\n",
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"> response2.json 2>/dev/null <<EOF\n",
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"{\n",
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" \"contents\": [\n",
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" {\n",
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" \"role\": \"user\",\n",
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" \"parts\": { \"text\": \"If it is too hot or too cold in London, set the temperature to a comfortable level. Make your own reasonable assumption for what comfortable means and do not ask for clarification.\" }\n",
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" },\n",
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" {\n",
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" \"role\": \"model\",\n",
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" \"parts\": [\n",
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" {\n",
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" \"function_call\": {\n",
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" \"name\": \"get_current_temperature\",\n",
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" \"args\": { \"location\": \"London\" }\n",
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" },\n",
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" \"thought_signature\": \"${THOUGHT_SIGNATURE_1}\"\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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" \"role\": \"tool\",\n",
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" \"parts\": [ { \"function_response\": { \"name\": \"get_current_temperature\", \"response\": { \"temperature\": 30, \"unit\": \"celsius\" } } } ]\n",
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" }\n",
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" ],\n",
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" \"tools\": [\n",
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" {\n",
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" \"function_declarations\": [\n",
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" {\n",
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" \"name\": \"get_current_temperature\",\n",
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" \"description\": \"Gets the current weather temperature for a given location.\",\n",
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" \"parameters\": { \"type\": \"object\", \"properties\": {\"location\": {\"type\": \"string\"}}, \"required\": [\"location\"] }\n",
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" },\n",
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" {\n",
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" \"name\": \"set_thermostat_temperature\",\n",
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" \"description\": \"Sets the thermostat to a desired temperature.\",\n",
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" \"parameters\": { \"type\": \"object\", \"properties\": {\"temperature\": {\"type\": \"integer\"}}, \"required\": [\"temperature\"] }\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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" \"generationConfig\": {\n",
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" \"thinking_config\": {\n",
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" \"include_thoughts\": true\n",
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" },\n",
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" }\n",
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"}\n",
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"EOF"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"id": "ZqkhB0X21C6G"
|
|
},
|
|
"source": [
|
|
"Using this context, the model will decide if it needs to call the `set_thermostat_temperature` function."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"id": "9JWuzrpIfaw1"
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"%%bash\n",
|
|
"\n",
|
|
"echo \"--- Function Call ---\"\n",
|
|
"jq -r '.candidates[0].content.parts[] | select(.functionCall) | .functionCall.name' response2.json\n",
|
|
"\n",
|
|
"echo \"--- Thought Signature ---\"\n",
|
|
"jq -r '.candidates[0].content.parts[] | select(.functionCall) | .thoughtSignature' response2.json\n",
|
|
"\n",
|
|
"echo \"--- Thought Summary ---\"\n",
|
|
"jq -r '.candidates[0].content.parts[] | select(.thought) | .text' response2.json"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"id": "MH0bJ2QBSCAg"
|
|
},
|
|
"source": [
|
|
"### **Step 3**: Generate a user-friendly response\n",
|
|
"\n",
|
|
"Finally, we send the full conversation history, including the second function call and its result, back to the model to get a final, user-friendly text response."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"id": "gXoystqdutIG"
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"jq_output = !jq -r '.candidates[0].content.parts[] | select(.functionCall) | .thoughtSignature' response2.json\n",
|
|
"\n",
|
|
"os.environ[\"THOUGHT_SIGNATURE_2\"] = jq_output[0]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"id": "ktEwDwf5R22J"
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"%%bash\n",
|
|
"# NOTE: The history is copied from the previous steps.\n",
|
|
"\n",
|
|
"curl -X POST \\\n",
|
|
"-H \"Authorization: Bearer $(gcloud auth print-access-token)\" \\\n",
|
|
"-H \"Content-Type: application/json\" \\\n",
|
|
"\"https://${API_ENDPOINT}:generateContent\" \\\n",
|
|
"-d @- \\\n",
|
|
"> response3.json 2>/dev/null <<EOF\n",
|
|
"{\n",
|
|
" \"contents\": [\n",
|
|
" {\n",
|
|
" \"role\": \"user\",\n",
|
|
" \"parts\": { \"text\": \"If it is too hot or too cold in London, set the temperature to a comfortable level. Make your own reasonable assumption for what 'comfortable' means and do not ask for clarification.\" }\n",
|
|
" },\n",
|
|
" {\n",
|
|
" \"role\": \"model\",\n",
|
|
" \"parts\": [\n",
|
|
" {\n",
|
|
" \"function_call\": {\n",
|
|
" \"name\": \"get_current_temperature\",\n",
|
|
" \"args\": { \"location\": \"London\" }\n",
|
|
" },\n",
|
|
" \"thought_signature\": \"${THOUGHT_SIGNATURE_1}\"\n",
|
|
" }\n",
|
|
" ]\n",
|
|
" },\n",
|
|
" {\n",
|
|
" \"role\": \"tool\",\n",
|
|
" \"parts\": [ { \"function_response\": { \"name\": \"get_current_temperature\", \"response\": { \"temperature\": 30, \"unit\": \"celsius\" } } } ]\n",
|
|
" },\n",
|
|
" {\n",
|
|
" \"role\": \"model\",\n",
|
|
" \"parts\": [\n",
|
|
" {\n",
|
|
" \"function_call\": {\n",
|
|
" \"name\": \"set_thermostat_temperature\",\n",
|
|
" \"args\": { \"temperature\": 21 }\n",
|
|
" },\n",
|
|
" \"thought_signature\": \"${THOUGHT_SIGNATURE_2}\"\n",
|
|
" }\n",
|
|
" ]\n",
|
|
" },\n",
|
|
" {\n",
|
|
" \"role\": \"tool\",\n",
|
|
" \"parts\": [ { \"function_response\": { \"name\": \"set_thermostat_temperature\", \"response\": { \"status\": \"success\" } } } ]\n",
|
|
" }\n",
|
|
" ],\n",
|
|
" \"tools\": [\n",
|
|
" {\n",
|
|
" \"function_declarations\": [\n",
|
|
" {\n",
|
|
" \"name\": \"get_current_temperature\",\n",
|
|
" \"description\": \"Gets the current weather temperature for a given location.\",\n",
|
|
" \"parameters\": { \"type\": \"object\", \"properties\": {\"location\": {\"type\": \"string\"}}, \"required\": [\"location\"] }\n",
|
|
" },\n",
|
|
" {\n",
|
|
" \"name\": \"set_thermostat_temperature\",\n",
|
|
" \"description\": \"Sets the thermostat to a desired temperature.\",\n",
|
|
" \"parameters\": { \"type\": \"object\", \"properties\": {\"temperature\": {\"type\": \"integer\"}}, \"required\": [\"temperature\"] }\n",
|
|
" }\n",
|
|
" ]\n",
|
|
" }\n",
|
|
" ]\n",
|
|
"}\n",
|
|
"EOF\n",
|
|
"\n",
|
|
"echo \"--- Final Text Response ---\"\n",
|
|
"jq -r '.candidates[0].content.parts[0].text' response3.json"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"id": "MvFXTZZ31yjm"
|
|
},
|
|
"source": [
|
|
"### **Cleanup**\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"id": "cleanup"
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"!rm response*.json"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"id": "290584e06e15"
|
|
},
|
|
"source": [
|
|
"## Next Steps\n",
|
|
"\n",
|
|
"Explores the thought signatures feature of the Gemini API with Gen AI SDK: [intro_thought_signatures.ipynb](https://github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/thinking/intro_thought_signatures.ipynb)"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"colab": {
|
|
"name": "intro_thought_signatures_rest.ipynb",
|
|
"toc_visible": true
|
|
},
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"name": "python3"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 0
|
|
}
|