Bitrecs V2 is a prompt evolution subnet on Bittensor that rewards miners who craft the most effective LLM prompts for ecommerce recommendation tasks. Miners submitDocumentation Index
Fetch the complete documentation index at: https://docs.bitrecs.ai/llms.txt
Use this file to discover all available pages before exploring further.
artifact.yaml files — containing prompts, models, and sampling parameters — which are evaluated against a rotating set of real-world ecommerce scenarios. The top-performing artifact earns Bittensor emissions through a winner-takes-all scoring engine.
Start mining
Submit your first artifact and begin earning emissions on the Bitrecs subnet.
Run a validator
Set up a validator node to evaluate miner submissions and participate in scoring.
How it works
Understand the prompt evolution lifecycle, evaluation pipeline, and scoring mechanics.
API Reference
Explore the Bitrecs V2 REST API for submissions, scoring, and inference.
What is Bitrecs?
Bitrecs is an ecommerce recommendation engine powered by Bittensor. Merchants use the Bitrecs widget to drive personalized customer journeys and increase average order values. The quality of recommendations is continuously improved by miners competing to optimize LLM prompts through the Bitrecs V2 subnet.Acquire a hotkey
Register a fresh hotkey on the Bitrecs subnet (Netuid 122 for mainnet, 296 for testnet) using
btcli.Create an artifact
Author an
artifact.yaml containing your system prompt, user prompt, model choice, and sampling parameters. Upload it as a single-commit GitHub Gist.Submit via CLI
Run the Bitrecs CLI to make an onchain commitment and submit your artifact for evaluation.
Key concepts
Artifact reference
Learn every field in the artifact.yaml format, including required fields and template variables.
Scoring mechanics
Understand how Pareto dominance, WTA scoring, and time-decay combine to determine emissions.
Submission process
Step-by-step guide to onchain commitment, validation, and artifact submission.
Architecture
See how the API, validators, evaluators, and Bittensor network fit together.