aiflow

Introduction

AI Flow supports tasks in the CrewAI + DAO + Resource Contracts application space;

See also;

• stxeco-launcher
• ai-flow
• bitcoin-dao

Note: this is experimental code - use at your own risk

1 DAO Launcher

The script runs in same directory as the calling code.

POST /dao-launcher/v1/launch  # body = template:DaoTemplate

2 Datasets

AI Flow hooks onto to a Stacks (or Bitcoin) full, pulls any or all blocks of transaction data and flattens the data into classification formatted jsonl files (one per block).

GET /datasets/v1/transactions/:block  # flattens given block
GET /datasets/v1/transactions/latest  # flattens new blocks since last run
GET /datasets/v1/transactions         # flattens new blocks (skips previously flattened blocks)

The classification data has the format;

interface FlattenedStacksTransaction {
  transaction_id: string;
  sender_address:string;
  nonce:number;
  sponsored:boolean;
  fee_rate:number;
  status: string;
  type: string;
  index: number;
  burn_block_time: number;
  parent_burn_block_time: number;
  block_time: number;
  block_height:number;
  post_condition_mode: string;

  recipient_address?: string;
  
  token_transfer_amount?: number;
  token_transfer_memo?: string;

  coinbase_alt_recipient?: string;
  coinbase_data?: string;

  contract_address?: string;
  contract_name?: string;
  function_name?: string;
  function_signature?: string;
  function_args_repr?: string;
  function_args_type?: string;

  smart_contract_clarity_version?:string;
  smart_contract_contract_address?:string;
  smart_contract_contract_name?:string;
  smart_contract_source_code?:string;
}

Development

Services can be run either via rest or cli.

Build

npm install
npm run build

Develop

npm install
npm run dev

Command Line

Note: this isn't yet fully supported but here for future flexibility

npm install
npm run cli -- datasets transactions latest // from current tip height to last saved block
npm run cli -- datasets transactions n // block n
npm run cli -- datasets transactions all // all (skips already flattened blocks)

Mongo

Connects to Mongo Cloud development db instance using environment variables see Environment secton.

Local IP address has to be added to Mongo Cloud allowed network - contact system administrator.

Test

Tests outstanding,

npm run test

Deploy

run deploy script to build / push docker image then on target server run following;

# stag
docker rm -f aiflow_api_production
docker run -d -t -i --network host --name aiflow_api_production -p 6060:6060 -e NODE_ENV='linode-production' mijoco/aiflow_api