AI Flow supports tasks in the CrewAI + DAO + Resource Contracts application space;
See also;
Note: this is experimental code - use at your own risk
The script runs in same directory as the calling code.
POST /dao-launcher/v1/launch # body = template:DaoTemplateAI 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;
}Services can be run either via rest or cli.
npm install
npm run buildnpm install
npm run devNote: 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)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.
Tests outstanding,
npm run testrun 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
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