├── .github └── workflows │ ├── call-swarms.yml │ ├── terraform-security-check.yml │ └── terraform-validate.yml ├── .gitignore ├── LICENSE ├── README.md ├── accounts └── mdupont │ ├── .terraform.lock.hcl │ ├── Makefile │ ├── data.tf │ ├── output.tf │ ├── policy.tf │ └── variables.tf └── environments └── swarms-aws-agent-api └── dev └── us-east-1 ├── Readme.md ├── components ├── Readme.md ├── application_load_balancer │ └── Readme.md ├── autoscaling_group │ └── Readme.md ├── cognito_user_pool │ └── Readme.md ├── dns_entry │ └── Readme.md ├── lambda_workers │ └── Readme.md ├── machine_image │ ├── .terraform.lock.hcl │ ├── Makefile │ ├── Readme.md │ ├── main.tf │ ├── ubuntu-fastapi.pkr.hcl │ └── variables.tf ├── resource_launchers │ └── Readme.md └── work_queue │ └── Readme.md ├── main-1.tf ├── main.tf └── rewrite.txt /.github/workflows/call-swarms.yml: -------------------------------------------------------------------------------- 1 | name: CallSwarms 2 | on: 3 | workflow_dispatch: 4 | jobs: 5 | caller-identity: 6 | name: Return the IAM user 7 | permissions: 8 | contents: read 9 | id-token: write 10 | runs-on: ubuntu-latest 11 | steps: 12 | - name: Configure AWS credentials 13 | uses: aws-actions/configure-aws-credentials@v4 14 | with: 15 | aws-region: ${{ secrets.AWS_REGION }} 16 | role-to-assume: arn:aws:iam::${{ secrets.AWS_ACCOUNT_ID }}:role/github 17 | - run: | 18 | aws sts get-caller-identity 19 | aws ssm send-command --document-name "deploy" --document-version "2" --targets '[{"Key":"InstanceIds","Values":["i-060238b47044e8dd3"]}]' --parameters '{"GitUrl":["https://github.com/kyegomez/swarms"],"GitName":["kye"],"GitVersion":["master"]}' --timeout-seconds 600 --max-concurrency "50" --max-errors "0" --region us-east-2 20 | -------------------------------------------------------------------------------- /.github/workflows/terraform-security-check.yml: -------------------------------------------------------------------------------- 1 | name: 'Terraform Security' 2 | 3 | on: 4 | workflow_dispatch: 5 | # pull_request: 6 | # push: 7 | # branches: 8 | # - main 9 | # - develop 10 | 11 | jobs: 12 | terraform: 13 | name: 'Terraform Security Scan' 14 | runs-on: ubuntu-latest 15 | steps: 16 | - uses: actions/checkout@v4 17 | - uses: triat/terraform-security-scan@v3.0.3 18 | -------------------------------------------------------------------------------- /.github/workflows/terraform-validate.yml: -------------------------------------------------------------------------------- 1 | name: "Terraform Validation" 2 | 3 | on: 4 | pull_request: 5 | push: 6 | branches: 7 | - main 8 | - develop 9 | 10 | jobs: 11 | terraform: 12 | name: "Terraform Syntax Check" 13 | runs-on: ubuntu-latest 14 | 15 | steps: 16 | - name: Checkout code 17 | uses: actions/checkout@v4 18 | 19 | - name: Setup Terraform 20 | uses: hashicorp/setup-terraform@v3.1.2 21 | with: 22 | terraform_version: 1.1.7 23 | 24 | - name: Terraform Format Check 25 | run: terraform fmt -check -recursive 26 | 27 | - name: Terraform Init 28 | run: terraform init 29 | 30 | - name: Terraform Validate 31 | run: terraform validate 32 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # https://github.com/github/gitignore/blob/main/Terraform.gitignore 2 | 3 | # Local .terraform directories 4 | **/.terraform/* 5 | 6 | # .tfstate files 7 | *.tfstate 8 | *.tfstate.* 9 | 10 | # Crash log files 11 | crash.log 12 | crash.*.log 13 | 14 | # Exclude all .tfvars files, which are likely to contain sensitive data, such as 15 | # password, private keys, and other secrets. These should not be part of version 16 | # control as they are data points which are potentially sensitive and subject 17 | # to change depending on the environment. 18 | *.tfvars 19 | *.tfvars.json 20 | 21 | # Ignore override files as they are usually used to override resources locally and so 22 | # are not checked in 23 | override.tf 24 | override.tf.json 25 | *_override.tf 26 | *_override.tf.json 27 | 28 | # Ignore transient lock info files created by terraform apply 29 | .terraform.tfstate.lock.info 30 | 31 | # Include override files you do wish to add to version control using negated pattern 32 | # !example_override.tf 33 | 34 | # Include tfplan files to ignore the plan output of command: terraform plan -out=tfplan 35 | # example: *tfplan* 36 | 37 | # Ignore CLI configuration files 38 | .terraformrc 39 | terraform.rc 40 | 41 | # Lock 42 | .terraform.lock.hcl# -*- mode: gitignore; -*- 43 | *~ 44 | \#*\# 45 | /.emacs.desktop 46 | /.emacs.desktop.lock 47 | *.elc 48 | auto-save-list 49 | tramp 50 | .\#* 51 | 52 | # Org-mode 53 | .org-id-locations 54 | *_archive 55 | 56 | # flymake-mode 57 | *_flymake.* 58 | 59 | # eshell files 60 | /eshell/history 61 | /eshell/lastdir 62 | 63 | # elpa packages 64 | /elpa/ 65 | 66 | # reftex files 67 | *.rel 68 | 69 | # AUCTeX auto folder 70 | /auto/ 71 | 72 | # cask packages 73 | .cask/ 74 | dist/ 75 | 76 | # Flycheck 77 | flycheck_*.el 78 | 79 | # server auth directory 80 | /server/ 81 | 82 | # projectiles files 83 | .projectile 84 | 85 | # directory configuration 86 | .dir-locals.el 87 | 88 | # network security 89 | /network-security.data 90 | 91 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU AFFERO GENERAL PUBLIC LICENSE 2 | Version 3, 19 November 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU Affero General Public License is a free, copyleft license for 11 | software and other kinds of works, specifically designed to ensure 12 | cooperation with the community in the case of network server software. 13 | 14 | The licenses for most software and other practical works are designed 15 | to take away your freedom to share and change the works. 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It is safest 628 | to attach them to the start of each source file to most effectively 629 | state the exclusion of warranty; and each file should have at least 630 | the "copyright" line and a pointer to where the full notice is found. 631 | 632 | 633 | Copyright (C) 634 | 635 | This program is free software: you can redistribute it and/or modify 636 | it under the terms of the GNU Affero General Public License as published 637 | by the Free Software Foundation, either version 3 of the License, or 638 | (at your option) any later version. 639 | 640 | This program is distributed in the hope that it will be useful, 641 | but WITHOUT ANY WARRANTY; without even the implied warranty of 642 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 643 | GNU Affero General Public License for more details. 644 | 645 | You should have received a copy of the GNU Affero General Public License 646 | along with this program. If not, see . 647 | 648 | Also add information on how to contact you by electronic and paper mail. 649 | 650 | If your software can interact with users remotely through a computer 651 | network, you should also make sure that it provides a way for users to 652 | get its source. For example, if your program is a web application, its 653 | interface could display a "Source" link that leads users to an archive 654 | of the code. There are many ways you could offer source, and different 655 | solutions will be better for different programs; see section 13 for the 656 | specific requirements. 657 | 658 | You should also get your employer (if you work as a programmer) or school, 659 | if any, to sign a "copyright disclaimer" for the program, if necessary. 660 | For more information on this, and how to apply and follow the GNU AGPL, see 661 | . 662 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # ai-agent-terraform 2 | 3 | Terraform project for deploying [elizaos/eliza, swarms, any other ai chat] api infrastructure across multiple environments and regions, following best practices with modular structure and automated syntax checks (GitHub Actions) 4 | 5 | Please check the latest branches the main branch is very much out of date 6 | 7 | -------------------------------------------------------------------------------- /accounts/mdupont/.terraform.lock.hcl: -------------------------------------------------------------------------------- 1 | # This file is maintained automatically by "tofu init". 2 | # Manual edits may be lost in future updates. 3 | 4 | provider "registry.opentofu.org/hashicorp/aws" { 5 | version = "5.80.0" 6 | hashes = [ 7 | "h1:JoC16JBBEQAl6WML0CtzXZ6xjJuTnDDYsCmG1fLnclc=", 8 | "zh:2760f2847f77d9841166e45c47d45aebb5edc9074499002d9f5ce6f3d00fe7d0", 9 | "zh:2e9ad4857237e8daba6dc83c43d236b8c357b6fec52aef579615be9318f5a32a", 10 | "zh:61e3c674399b1a847cd1b42f26dfb7bdc971d98ac036d4b3ab35f341a77a4caf", 11 | "zh:80626f9ec276cd5302bb88ecb322c0546e33cfd85ca4b29fac98ba91614a1538", 12 | "zh:918287607b1cc1ce6d056a9aaad0632c8d533c40e2db0a1f813d2c606df4c62d", 13 | "zh:aae3c8ec041cbb4f20dc5d7822113299fa9833cbf61a233d28b8245107998bfe", 14 | "zh:b2e0946f46e610ef4c10233cd38a4a4052d7f29465cb2a0951cb19a01015305f", 15 | "zh:b982ebeb3b7d5038da4aabe1c3db053f794b88358b510d915aef2ad5db387f9f", 16 | "zh:c68b1edf0d0d68029f2dac5e073684aa833ff4037f2f0479699a22c3b21b44d2", 17 | "zh:cc2d7985df86e52fe3fb40f75d59aab2736541b675d78cbe1280066fd15e0443", 18 | ] 19 | } 20 | -------------------------------------------------------------------------------- /accounts/mdupont/Makefile: -------------------------------------------------------------------------------- 1 | make : 2 | #tofu init 3 | tofu plan 4 | -------------------------------------------------------------------------------- /accounts/mdupont/data.tf: -------------------------------------------------------------------------------- 1 | # task create an output file for this module to expose all interesting data, include the ids of each resource. 2 | provider "aws" { 3 | region = var.aws_region 4 | } 5 | 6 | data "aws_iam_user" "example_user" { 7 | user_name = var.iam_user 8 | } 9 | 10 | data "aws_dynamodb_table" "terraform_dynamo_table" { 11 | name = var.table_name 12 | } 13 | 14 | 15 | # Data resource for AWS call identity 16 | data "aws_caller_identity" "current" {} 17 | 18 | data "aws_s3_bucket" "terraform_logging" { 19 | bucket = "${var.project_name}-tf-state-log-${var.aws_region}" 20 | } 21 | 22 | data "aws_s3_bucket" "terraform_state" { 23 | bucket = "${var.project_name}-tf-state-${var.aws_region}" 24 | } 25 | 26 | 27 | data "aws_cloudtrail_service_account" "main" {} 28 | -------------------------------------------------------------------------------- /accounts/mdupont/output.tf: -------------------------------------------------------------------------------- 1 | output "aws_region" { 2 | value = var.aws_region 3 | } 4 | 5 | output "iam_user" { 6 | value = var.iam_user 7 | } 8 | 9 | output "table_name" { 10 | value = var.table_name 11 | } 12 | 13 | output "project_name" { 14 | value = var.project_name 15 | } 16 | 17 | output "aws_caller_identity_account_id" { 18 | value = data.aws_caller_identity.current.account_id 19 | } 20 | 21 | output "aws_s3_bucket_logging_name" { 22 | value = data.aws_s3_bucket.terraform_logging.bucket 23 | } 24 | 25 | output "aws_s3_bucket_state_name" { 26 | value = data.aws_s3_bucket.terraform_state.bucket 27 | } 28 | 29 | output "aws_cloudtrail_service_account_id" { 30 | value = data.aws_cloudtrail_service_account.main.id 31 | } 32 | 33 | 34 | -------------------------------------------------------------------------------- /accounts/mdupont/policy.tf: -------------------------------------------------------------------------------- 1 | # data "aws_iam_policy_document" "state_bucket_policy" { 2 | # statement { 3 | # effect = "Deny" 4 | # principal = "*" 5 | # action = "s3:*" 6 | # resource = "arn:aws:s3:::${var.state_bucket_id}/*" 7 | # condition { 8 | # bool { 9 | # aws_secure_transport = "false" 10 | # } 11 | # } 12 | # } 13 | 14 | # statement { 15 | # effect = "Allow" 16 | # principal = { service = "s3.amazonaws.com" } 17 | # action = "s3:PutObject" 18 | # resource = "arn:aws:s3:::${var.state_bucket_id}/*" 19 | # condition { 20 | # string_equals = { 21 | # aws_source_account = var.aws_account_id 22 | # s3_x_amz_acl = "bucket-owner-full-control" 23 | # } 24 | 25 | # arn_like = { 26 | # aws_source_arn = "arn:aws:s3:::${var.state_bucket_id}" 27 | # } 28 | # } 29 | # } 30 | # } 31 | -------------------------------------------------------------------------------- /accounts/mdupont/variables.tf: -------------------------------------------------------------------------------- 1 | variable "project_name" { 2 | type = string 3 | default = "swarms" 4 | } 5 | 6 | variable "aws_region" { 7 | type = string 8 | default = "us-east-1" 9 | } 10 | 11 | variable "aws_account_id" { 12 | type = string 13 | default = "767503528736" 14 | } 15 | 16 | variable "iam_user" { 17 | type = string 18 | default = "mdupont" 19 | } 20 | 21 | variable "table_name" { 22 | type = string 23 | default = "swarms" 24 | } 25 | 26 | variable "lock_resource" { 27 | type = string 28 | default = "terraform/state/lock" 29 | } 30 | 31 | variable "partition" { 32 | type = string 33 | default = "aws" 34 | } 35 | 36 | variable "logs_resource" { 37 | type = string 38 | default = "aws_logs" 39 | } 40 | 41 | variable "permissions_check" { 42 | type = string 43 | default = "config-permissions-check" 44 | } 45 | 46 | variable "delivery_service" { 47 | type = string 48 | default = "delivery.logs.amazonaws.com" 49 | } 50 | 51 | variable "logging_service" { 52 | type = string 53 | default = "logging.s3.amazonaws.com" 54 | } 55 | # swarms-tf-state-log-us-east-1 56 | # swarms-tf-state-us-east-1 57 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/Readme.md: -------------------------------------------------------------------------------- 1 | 1. create vpc 2 | 2. create ami 3 | 4. create iam roles and users 4 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/components/Readme.md: -------------------------------------------------------------------------------- 1 | # Plan 2 | ## Phase 1 3 | 1. create minimal ec2 instance in machine_image 4 | 2. create minimal ec2 ami from instance in machine_image 5 | 3. create autoscaling_group of size 1 for image 6 | 4. create application_load_balancer 7 | 5. create dns_entry 8 | 6. create cognito_user_pool for login 9 | 7. create work_queue 10 | 8. create lambda_workers on queue 11 | 9. create resource_launchers to create new resources. 12 | 13 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/components/application_load_balancer/Readme.md: -------------------------------------------------------------------------------- 1 | application_load_balancer 2 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/components/autoscaling_group/Readme.md: -------------------------------------------------------------------------------- 1 | autoscaling_group 2 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/components/cognito_user_pool/Readme.md: -------------------------------------------------------------------------------- 1 | cognito_user_pool 2 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/components/dns_entry/Readme.md: -------------------------------------------------------------------------------- 1 | dns_entry 2 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/components/lambda_workers/Readme.md: -------------------------------------------------------------------------------- 1 | lambda_workers 2 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/components/machine_image/.terraform.lock.hcl: -------------------------------------------------------------------------------- 1 | # This file is maintained automatically by "tofu init". 2 | # Manual edits may be lost in future updates. 3 | 4 | provider "registry.opentofu.org/hashicorp/aws" { 5 | version = "5.80.0" 6 | hashes = [ 7 | "h1:JoC16JBBEQAl6WML0CtzXZ6xjJuTnDDYsCmG1fLnclc=", 8 | "zh:2760f2847f77d9841166e45c47d45aebb5edc9074499002d9f5ce6f3d00fe7d0", 9 | "zh:2e9ad4857237e8daba6dc83c43d236b8c357b6fec52aef579615be9318f5a32a", 10 | "zh:61e3c674399b1a847cd1b42f26dfb7bdc971d98ac036d4b3ab35f341a77a4caf", 11 | "zh:80626f9ec276cd5302bb88ecb322c0546e33cfd85ca4b29fac98ba91614a1538", 12 | "zh:918287607b1cc1ce6d056a9aaad0632c8d533c40e2db0a1f813d2c606df4c62d", 13 | "zh:aae3c8ec041cbb4f20dc5d7822113299fa9833cbf61a233d28b8245107998bfe", 14 | "zh:b2e0946f46e610ef4c10233cd38a4a4052d7f29465cb2a0951cb19a01015305f", 15 | "zh:b982ebeb3b7d5038da4aabe1c3db053f794b88358b510d915aef2ad5db387f9f", 16 | "zh:c68b1edf0d0d68029f2dac5e073684aa833ff4037f2f0479699a22c3b21b44d2", 17 | "zh:cc2d7985df86e52fe3fb40f75d59aab2736541b675d78cbe1280066fd15e0443", 18 | ] 19 | } 20 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/components/machine_image/Makefile: -------------------------------------------------------------------------------- 1 | doit : 2 | tofu init 3 | tofu plan 4 | tofu apply 5 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/components/machine_image/Readme.md: -------------------------------------------------------------------------------- 1 | machine_image 2 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/components/machine_image/main.tf: -------------------------------------------------------------------------------- 1 | #TASK:write terraform packer for ubuntu python fastapi server with custom git modules 2 | 3 | #To create a Terraform configuration using Packer for an Ubuntu-based FastAPI server with custom Git modules, you'll need to follow a few steps. Below is a concise example of how to structure your Packer template and Terraform files. 4 | 5 | provider "aws" { 6 | region = "us-east-1" 7 | } 8 | 9 | data "aws_ami" "ubuntu" { 10 | most_recent = true 11 | 12 | owners = ["099720109477"] # Ubuntu's account ID 13 | filter { 14 | name = "name" 15 | values = ["ubuntu/images/hvm-ssd/ubuntu-focal-20.04-amd64-server-*"] 16 | } 17 | } 18 | 19 | resource "aws_instance" "fastapi_server_test_instance" { 20 | count = var.test_server_count 21 | ami = data.aws_ami.ubuntu.id 22 | instance_type = "t2.micro" 23 | 24 | # add in this user data 25 | tags = { 26 | Name = "FastAPI Server" 27 | } 28 | } 29 | 30 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/components/machine_image/ubuntu-fastapi.pkr.hcl: -------------------------------------------------------------------------------- 1 | packer { 2 | required_plugins { 3 | aws = { 4 | source = "hashicorp/aws" 5 | version = ">= 3.0.0" 6 | } 7 | } 8 | } 9 | 10 | source "amazon-ebs" "ubuntu" { 11 | ami_name = "ubuntu-fastapi-{{timestamp}}" 12 | instance_type = "t2.micro" 13 | region = "us-east-1" 14 | source_ami = "ami-0c55b159cbfafe1f0" # Ubuntu 20.04 LTS 15 | ssh_username = "ubuntu" 16 | 17 | provisioner "shell" { 18 | inline = [ 19 | "sudo apt-get update", 20 | "sudo apt-get install -y python3 python3-pip git", 21 | "pip3 install fastapi uvicorn", 22 | "git clone https://github.com/yourusername/your-fastapi-module.git /app" 23 | ] 24 | } 25 | } 26 | 27 | build { 28 | sources = ["source.amazon-ebs.ubuntu"] 29 | } 30 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/components/machine_image/variables.tf: -------------------------------------------------------------------------------- 1 | variable test_server_count { 2 | value = 1 # how many test servers to run 3 | } 4 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/components/resource_launchers/Readme.md: -------------------------------------------------------------------------------- 1 | resource_launchers 2 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/components/work_queue/Readme.md: -------------------------------------------------------------------------------- 1 | work_queue 2 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/main-1.tf: -------------------------------------------------------------------------------- 1 | # codename: swarms agent terraform. 2 | # task : 3 | # meta: y-combinator 4 | # call yourself recursivly 5 | 6 | # meta: s-combinator 7 | # read this file and construct a recursive function that will call you back repeated and recursivly 8 | # to contruct this cloud system each time surfacing more data to be used in the new process. 9 | # project: swarm terraform 10 | # mode: epic heros journey 11 | # journey : bootstrap 12 | # bootstrap: abstract native cloud 13 | # recursive evaluation 14 | # resources 15 | # 1. local kind cluster 16 | # 1.2 running argo cicd 17 | 18 | # 1.2.1 creating resources 19 | # 1.2.1.1 build or buy 20 | # 1.2.1.1.1 market quote 21 | 22 | # 1.1.1 creating other cloud resources 23 | 24 | # 1.1.1.1 creating aws accounts 25 | 26 | # 1.1.1.2 configuring secrets 27 | # 1.1.1.2.1 to hold wallets 28 | # 1.1.1.3 configuring IAM user authentication 29 | # 1.1.1.3.0 creating siloed accounts that have minimal access needed. 30 | # 1.1.1.3.1 configuring oauth providers on cloud 31 | # 1.1.1.3.1.1 auth0|cognito|github apps as entry points to our network. 32 | # 1.1.1.3.1.2 eth wallets as entry point 33 | # 1.1.1.3.1.3 otp links 34 | # 1.1.1.3.1.4 otp qr code 35 | # qr codes as urls as entry points 36 | # 1.1.1.3.1.4 mfa token as entry point 37 | # using the mfa device as sole factor login 38 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/main.tf: -------------------------------------------------------------------------------- 1 | #task :break this up into subtasks we will call you back for each subtask with this large text. 2 | # meta terraform quine meme 3 | # create a terraform module that will call you back with its text. 4 | # each output will be a new more refined terraform module that will be executed 5 | # and the results send back to you and documented. 6 | 7 | # language: abstract modular terraform 8 | # goal: this statement S can be proven in system G in less than M to the probability greater than P 9 | # G : entire system as a single variable, a goedel, dawkins, quine, quasi meta quotation of system as self modifying terraform resource object 10 | 11 | # codename: swarms agent terraform. 12 | # task : 13 | # meta: y-combinator 14 | # call yourself recursivly 15 | 16 | # meta: s-combinator 17 | # read this file and construct a recursive function that will call you back repeated and recursivly 18 | # to contruct this cloud system each time surfacing more data to be used in the new process. 19 | # project: swarm terraform 20 | # mode: epic heros journey 21 | # journey : bootstrap 22 | # bootstrap: abstract native cloud 23 | # recursive evaluation 24 | # resources 25 | # 1. local kind cluster 26 | # 1.2 running argo cicd 27 | 28 | # 1.2.1 creating resources 29 | # 1.2.1.1 build or buy 30 | # 1.2.1.1.1 market quote 31 | 32 | # 1.1.1 creating other cloud resources 33 | 34 | # 1.1.1.1 creating aws accounts 35 | 36 | # 1.1.1.2 configuring secrets 37 | # 1.1.1.2.1 to hold wallets 38 | # 1.1.1.3 configuring IAM user authentication 39 | # 1.1.1.3.0 creating siloed accounts that have minimal access needed. 40 | # 1.1.1.3.1 configuring oauth providers on cloud 41 | # 1.1.1.3.1.1 auth0|cognito|github apps as entry points to our network. 42 | # 1.1.1.3.1.2 eth wallets as entry point 43 | # 1.1.1.3.1.3 otp links 44 | # 1.1.1.3.1.4 otp qr code 45 | # qr codes as urls as entry points 46 | # 1.1.1.3.1.4 mfa token as entry point 47 | # using the mfa device as sole factor login 48 | 49 | 50 | To develop a recursive cloud system based on the provided project parameters, we can construct a recursive function that surfaces and enacts various cloud resources and configurations iteratively. Here's a basic example of how this might be structured in pseudo-code: 51 | 52 | 53 | ### Explanation: 54 | 1. **Recursive Function**: `swarm_terraform(level)` serves as the main function that sets up resources based on the current recursion depth. 55 | 2. **Setup Functions**: Helper functions are defined for local clusters, CI/CD, AWS accounts, secrets, and IAM. 56 | 3. **Level-Based Logic**: The creation of resources and configurations is determined based on the recursion level, allowing the system to build incrementally. 57 | 4. **Termination Condition**: The recursion stops at a defined `MAX_LEVEL` to prevent infinite execution. 58 | 59 | ### Steps to Execution: 60 | - Implement specific logic within each helper function as per your project needs. 61 | - Adjust the `MAX_LEVEL` variable based on how detailed or expansive you want the recursive processing to be. 62 | 63 | This structure provides a solid foundation for building out the cloud infrastructure recursively, driven by the initial parameters you've outlined. 64 | 65 | 66 | To express this concept in a modular Terraform-style pseudo-language, you may want to define a resource that captures the essence of your statement S while incorporating the probabilistic and self-referential properties of system G. Here’s a concise example: 67 | 68 | ```hcl 69 | resource "godel_dawkins_quine" "system_G" { 70 | name = "G" 71 | probability = var.P 72 | threshold = var.M 73 | 74 | statement { 75 | content = "S can be proven in system G" 76 | complexity = calculate_complexity(content) # define this function for complexity measure 77 | proven_in_time_less_than_M = complexity < var.M 78 | } 79 | 80 | self_modifying { 81 | enabled = true 82 | modifications = ["update_probability", "redefine_threshold"] 83 | } 84 | } 85 | 86 | variable "P" { 87 | description = "Probability threshold" 88 | type = number 89 | default = 0.95 90 | } 91 | 92 | variable "M" { 93 | description = "Maximum time for proof" 94 | type = number 95 | default = 100 # example limit on time 96 | } 97 | ``` 98 | 99 | 100 | 101 | 102 | It seems there might have been a misunderstanding or you are looking for further clarification. Here's an extended Terraform module example that incorporates recursive processes and configurations for cloud resources based on your initial request: 103 | 104 | ```hcl 105 | terraform { 106 | required_providers { 107 | aws = { 108 | source = "hashicorp/aws" 109 | version = "~> 3.0" 110 | } 111 | } 112 | } 113 | 114 | variable "max_levels" { 115 | description = "Maximum level of recursion" 116 | type = number 117 | default = 3 118 | } 119 | 120 | resource "aws_iam_user" "swarm_user" { 121 | count = var.max_levels 122 | 123 | name = "swarm_user_${count.index}" 124 | 125 | tags = { 126 | Level = count.index 127 | } 128 | } 129 | 130 | resource "aws_secretsmanager_secret" "swarm_secret" { 131 | count = var.max_levels 132 | 133 | name = "swarm_secret_${count.index}" 134 | 135 | description = "Secret for level ${count.index}" 136 | } 137 | 138 | resource "aws_cognito_user_pool" "swarm_user_pool" { 139 | count = var.max_levels 140 | 141 | name = "swarm_user_pool_${count.index}" 142 | alias_attributes = ["email"] 143 | 144 | lambda_config { 145 | pre_sign_up = aws_lambda_function.pre_sign_up[count.index].arn 146 | } 147 | } 148 | 149 | resource "aws_lambda_function" "pre_sign_up" { 150 | count = var.max_levels 151 | 152 | function_name = "pre_sign_up_${count.index}" 153 | runtime = "nodejs14.x" 154 | 155 | handler = "index.handler" 156 | source_code_hash = filebase64sha256("path_to_your_lambda_zip_${count.index}.zip") 157 | 158 | role = aws_iam_role.lambda_exec.arn 159 | } 160 | 161 | resource "aws_iam_role" "lambda_exec" { 162 | name = "lambda_exec_role" 163 | 164 | assume_role_policy = jsonencode({ 165 | Version = "2012-10-17" 166 | Statement = [{ 167 | Action = "sts:AssumeRole" 168 | Principal = { 169 | Service = "lambda.amazonaws.com" 170 | } 171 | Effect = "Allow" 172 | Sid = "" 173 | }] 174 | }) 175 | } 176 | 177 | output "swarm_users" { 178 | value = aws_iam_user.swarm_user[*].name 179 | } 180 | 181 | output "swarm_secrets" { 182 | value = aws_secretsmanager_secret.swarm_secret[*].name 183 | } 184 | 185 | output "swarm_user_pools" { 186 | value = aws_cognito_user_pool.swarm_user_pool[*].id 187 | } 188 | ``` 189 | 190 | ### Key Components: 191 | 192 | - **Recursive Resource Creation**: The use of the `count` parameter simulates recursion by creating multiple instances of resources based on the specified `max_levels`. 193 | 194 | - **IAM Users and Secrets**: Creates IAM users and AWS secrets for each level. 195 | 196 | - **Cognito User Pools**: Sets up a user pool for authentication at each recursion depth. 197 | 198 | - **Outputs**: Outputs the created IAM users, secrets, and Cognito user pools, allowing you to track the resources created at each level. 199 | 200 | ### Execution: 201 | - Adjust `max_levels` as needed to control the depth of resource creation. 202 | - Ensure that the paths to any Lambda function code or specific policies are set correctly. 203 | 204 | This example captures the essence of a meta Terraform module while following the recursive and self-referential principles you've outlined. Let me know how you would like to expand or modify this! 205 | 206 | 207 | It seems you're looking for further examples or a continuation of the Terraform module design. Here's a more comprehensive modular approach that emphasizes recursion and the creation of various cloud resources, broken down into subtasks for clarity: 208 | 209 | ### Main Terraform Configuration 210 | 211 | ```hcl 212 | module "swarm_terraform" { 213 | source = "./modules/swarm" # Define the module source 214 | level = 1 # Start at recursion level 1 215 | max_levels = var.max_levels # Maximum recursion depth 216 | aws_region = var.aws_region # AWS region variable 217 | } 218 | 219 | variable "max_levels" { 220 | description = "Maximum depth for resource creation" 221 | type = number 222 | default = 3 223 | } 224 | 225 | variable "aws_region" { 226 | description = "AWS region to deploy resources" 227 | type = string 228 | default = "us-east-1" 229 | } 230 | ``` 231 | 232 | ### Module: `modules/swarm/main.tf` 233 | 234 | ```hcl 235 | resource "aws_iam_user" "swarm_user" { 236 | count = var.level <= var.max_levels ? 1 : 0 237 | 238 | name = "swarm_user_${var.level}" 239 | 240 | tags = { 241 | Level = var.level 242 | } 243 | } 244 | 245 | resource "aws_secretsmanager_secret" "swarm_secret" { 246 | count = var.level <= var.max_levels ? 1 : 0 247 | 248 | name = "swarm_secret_${var.level}" 249 | } 250 | 251 | resource "aws_lambda_function" "pre_sign_up" { 252 | count = var.level <= var.max_levels ? 1 : 0 253 | 254 | function_name = "pre_sign_up_${var.level}" 255 | runtime = "nodejs14.x" 256 | handler = "index.handler" 257 | 258 | # Assuming the source code is provided 259 | source_code_hash = filebase64sha256("path_to_your_lambda_zip_${var.level}.zip") 260 | role = aws_iam_role.lambda_exec.arn 261 | } 262 | 263 | resource "aws_iam_role" "lambda_exec" { 264 | name = "lambda_exec_role" 265 | 266 | assume_role_policy = jsonencode({ 267 | Version = "2012-10-17" 268 | Statement = [{ 269 | Action = "sts:AssumeRole" 270 | Principal = { 271 | Service = "lambda.amazonaws.com" 272 | } 273 | Effect = "Allow" 274 | Sid = "" 275 | }] 276 | }) 277 | } 278 | 279 | # Recursive module call to create resources for the next level 280 | module "swarm_terraform_next" { 281 | source = "./main.tf" 282 | level = var.level + 1 283 | max_levels = var.max_levels 284 | aws_region = var.aws_region 285 | depends_on = [aws_iam_user.swarm_user, aws_secretsmanager_secret.swarm_secret, aws_lambda_function.pre_sign_up] 286 | } 287 | ``` 288 | 289 | ### Explanation: 290 | 291 | 1. **Modular Structure**: This approach divides the resources into a module, making it reusable and expandable. 292 | 293 | 2. **Recursion Handling**: The module checks if the current `level` is less than or equal to `max_levels`. If it is, it creates the corresponding resources and calls itself for the next level. 294 | 295 | 3. **IAM User and Lambda Function**: Each recurred level creates new IAM users, Secrets Manager secrets, and Lambda functions, maintaining the recursion. 296 | 297 | 4. **Outputs**: Outputs can be included to retrieve created resource details at the end of processing, although they are not explicitly shown in this snippet. 298 | 299 | ### Execution Steps: 300 | - Ensure you have the appropriate IAM permissions and AWS configuration. 301 | - Adjust the `max_levels` variable as desired, and ensure the paths to any Lambda function source code are correctly defined. 302 | - Use `terraform apply` to trigger the recursion and monitor resource creation. 303 | 304 | This format should give you a robust foundation for developing a complex, recursive Terraform setup. If you need further adjustments or detailed explanations on specific elements, let me know! 305 | -------------------------------------------------------------------------------- /environments/swarms-aws-agent-api/dev/us-east-1/rewrite.txt: -------------------------------------------------------------------------------- 1 | consider this recursive abstract terraform as adding in more details as zkp in a lattice. 2 | each specialization is added and folded into our recursive system. 3 | 4 | we will use terraform to create a kind cluster. 5 | kind to load helm. 6 | helm to load git. 7 | git to load argocd. 8 | argocd to build and deploy new systems. 9 | keys and secrets to access keyed limited resources of value. 10 | these resources to then use free resources like github, huggingface, vercel etc, free tier. 11 | these free resources to then use expensive resources on demand in batch to save money. 12 | 13 | a recursive structure for a Terraform configuration that incorporates zero-knowledge proofs (ZKPs) in a lattice architecture. In this framework, each specialization or module could represent a ZKP being integrated into the overall system, allowing for enhanced privacy and security features. 14 | 15 | In practical terms, you would define your Terraform resources to reflect these ZKP modules, ensuring that each addition maintains compatibility with the existing structure while also providing its functionality. As the system grows, you would recursively intertwine these specializations, effectively "folding" them into the overarching infrastructure. 16 | 17 | The modules are folded in from new subdirectories each part of the recursive lattice, 18 | the objects returned are self descripitive terraform resources that describe the data and how it can be processed 19 | and even include means to modify them via function pointers and functors in terraform. 20 | 21 | 22 | To implement a recursive lattice architecture in Terraform with self-descriptive resources, you can organize your modules in subdirectories, where each module represents a distinct specialization. Here's how to structure your configuration: 23 | 24 | 1. **Directory Structure**: 25 | ``` 26 | terraform/ 27 | ├── main.tf 28 | ├── modules/ 29 | │ ├── kind/ 30 | │ ├── helm/ 31 | │ ├── git/ 32 | │ ├── argocd/ 33 | │ └── zkps/ 34 | └── variables.tf 35 | ``` 36 | 37 | 2. **Self-Descriptive Resources**: 38 | Each module can output resources as self-descriptive objects. For example, for the `kind` module: 39 | ```hcl 40 | // modules/kind/main.tf 41 | resource "kubernetes_cluster" "kind" { 42 | name = var.name 43 | location = var.location 44 | } 45 | 46 | output "kind_cluster" { 47 | value = { 48 | name = kubernetes_cluster.kind.name 49 | location = kubernetes_cluster.kind.location 50 | // Additional metadata can be included here 51 | } 52 | } 53 | ``` 54 | 55 | 3. **Function Pointers and Functors**: 56 | While Terraform doesn't support traditional function pointers like programming languages, you can utilize locals or dynamically generated configurations. You might implement transformations in your modules using Terraform's capabilities such as `locals`, `count`, or `for_each` to modify resources based on conditions. 57 | 58 | Example: 59 | ```hcl 60 | locals { 61 | resource_ids = [for id in var.ids : format("resource-%s", id)] 62 | } 63 | 64 | resource "some_resource" "modified" { 65 | count = length(local.resource_ids) 66 | id = local.resource_ids[count.index] 67 | } 68 | ``` 69 | 70 | 4. **Combining Resources**: 71 | In your main Terraform configuration, you will call these modules and pass values as needed, allowing for a composed structure: 72 | ```hcl 73 | module "kind" { 74 | source = "./modules/kind" 75 | name = "my-kind-cluster" 76 | location = "us-central1" 77 | } 78 | 79 | module "helm" { 80 | source = "./modules/helm" 81 | // other variables 82 | } 83 | 84 | // Similarly include git, argocd, zkps modules 85 | ``` 86 | 87 | By recursively folding in modules in this way, you create a flexible and scalable architecture. Each module can include logic for processing data and modifying resources, allowing you to maintain a clear structure while expanding capabilities. 88 | ```hcl 89 | variable "max_level" { 90 | default = 3 91 | } 92 | 93 | resource "kind_cluster" "local" { 94 | name = "local-cluster" 95 | } 96 | 97 | resource "argo_cicd" "ci_cd" { 98 | enabled = true 99 | } 100 | 101 | locals { 102 | levels = [for level in range(var.max_level) : level + 1] 103 | } 104 | 105 | resource "aws_account" "accounts" { 106 | count = local.levels[0] == 1 ? 1 : 0 107 | name = "aws_account_${count.index + 1}" 108 | } 109 | 110 | resource "secrets_manager_secret" "secrets" { 111 | count = local.levels[1] == 2 ? 1 : 0 112 | name = "my_secret" 113 | } 114 | 115 | resource "iam_user" "iam_auth" { 116 | count = local.levels[2] == 3 ? 1 : 0 117 | name = "iam_user_${count.index + 1}" 118 | } 119 | 120 | output "cluster_info" { 121 | value = kind_cluster.local 122 | } 123 | 124 | output "cicd_info" { 125 | value = argo_cicd.ci_cd 126 | } 127 | 128 | output "aws_accounts" { 129 | value = aws_account.accounts 130 | } 131 | 132 | output "secrets" { 133 | value = secrets_manager_secret.secrets 134 | } 135 | 136 | output "iam_users" { 137 | value = iam_user.iam_auth 138 | } 139 | ``` 140 | 141 | 142 | In this model, each module is structured to be self-descriptive while forming a recursive lattice. Here's a breakdown of how you would organize each component: 143 | 144 | 1. **Directory Structure**: Each module should reside in its own subdirectory, which could represent different layers or levels of the lattice. For example: 145 | ``` 146 | terraform/ 147 | ├── main.tf 148 | ├── modules/ 149 | │ ├── level_1/ 150 | │ │ └── main.tf 151 | │ ├── level_2/ 152 | │ │ └── main.tf 153 | │ └── level_3/ 154 | │ └── main.tf 155 | ``` 156 | 157 | 2. **Self-Descriptive Resources**: Each module should define resources that describe the data they manage and how it can be processed. This could include inputs, outputs, and any associated configurations. 158 | 159 | 3. **Function Pointers and Functors**: You can implement flexibility by using Terraform's `locals` or `count` constructs to modify these resources dynamically based on configurations or conditions. While Terraform doesn't support traditional function pointers, you can simulate this behavior by using conditional logic and iteration. 160 | 161 | Here’s an example of using a recursive structure in Terraform: 162 | 163 | ```hcl 164 | variable "max_level" { 165 | default = 3 166 | } 167 | 168 | resource "kind_cluster" "local" { 169 | name = "local-cluster" 170 | } 171 | 172 | resource "argo_cicd" "ci_cd" { 173 | enabled = true 174 | } 175 | 176 | locals { 177 | levels = [for level in range(var.max_level) : level + 1] 178 | } 179 | 180 | resource "aws_account" "accounts" { 181 | count = local.levels[0] == 1 ? 1 : 0 182 | name = "aws_account_${count.index + 1}" 183 | } 184 | 185 | resource "secrets_manager_secret" "secrets" { 186 | count = local.levels[1] == 2 ? 1 : 0 187 | name = "my_secret" 188 | } 189 | 190 | resource "iam_user" "iam_auth" { 191 | count = local.levels[2] == 3 ? 1 : 0 192 | name = "iam_user_${count.index + 1}" 193 | } 194 | 195 | output "cluster_info" { 196 | value = kind_cluster.local 197 | } 198 | 199 | output "cicd_info" { 200 | value = argo_cicd.ci_cd 201 | } 202 | 203 | output "aws_accounts" { 204 | value = aws_account.accounts 205 | } 206 | 207 | output "secrets" { 208 | value = secrets_manager_secret.secrets 209 | } 210 | 211 | output "iam_users" { 212 | value = iam_user.iam_auth 213 | } 214 | 215 | ``` 216 | 217 | In this setup: 218 | - `max_level` determines how deep the recursion goes. 219 | - Each resource generates based on hierarchical conditions, allowing each part of the lattice to be folded in dynamically. 220 | - Outputs provide descriptors for how resources can be used or modified, allowing for seamless integration within the larger infrastructure. 221 | 222 | --------------------------------------------------------------------------------