Download .env.example from PYTHAI/mindXtrain: direct link, hf CLI and curl.
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| # MI300X non-negotiable runtime environment (mindxtrain2.md §13) | |
| PYTORCH_ROCM_ARCH=gfx942 | |
| HSA_NO_SCRATCH_RECLAIM=1 | |
| HIP_FORCE_DEV_KERNARG=1 | |
| GPU_MAX_HW_QUEUES=1 | |
| NVTE_CK_USES_BWD_V3=1 | |
| NVTE_CK_IS_V3_ATOMIC_FP32=1 | |
| PRIMUS_TURBO_ATTN_V3_ATOMIC_FP32=1 | |
| NCCL_MIN_NCHANNELS=112 | |
| # Operator runtime — inference backend selection | |
| MINDXTRAIN_BACKEND=vllm | |
| MINDXTRAIN_VLLM_BASE_URL=http://localhost:8000/v1 | |
| MINDXTRAIN_OPENAI_BASE_URL=https://api.openai.com/v1 | |
| MINDXTRAIN_OPENAI_API_KEY= | |
| MINDXTRAIN_PERSONA_PATH=/home/hacker/mindX/personas/codephreak.json | |
| # Teacher model used by data/synth.py for synthetic-data rollouts | |
| MINDXTRAIN_TEACHER_BASE_URL=http://localhost:8000/v1 | |
| MINDXTRAIN_TEACHER_MODEL=Qwen/Qwen3.5-8B | |
| # External storage providers | |
| HF_TOKEN= | |
| HF_HUB_USERNAME= | |
| LIGHTHOUSE_API_KEY= | |
| LIGHTHOUSE_BASE_URL=https://node.lighthouse.storage | |
| IPFS_API_URL=http://127.0.0.1:5001 | |
| # Provenance / on-chain | |
| MINDXTRAIN_FACILITATOR_URL=https://facilitator.bankon.io/x402 | |
| MINDXTRAIN_REGISTRY_ADDR= | |
| MINDXTRAIN_BASE_RPC_URL=https://sepolia.base.org | |
| MINDXTRAIN_ALGORAND_ALGOD_URL=https://mainnet-api.algonode.cloud | |
| MINDXTRAIN_ALGORAND_INDEXER_URL=https://mainnet-idx.algonode.cloud | |
| MINDXTRAIN_BANKON_ENS_URL=https://ens.bankon.pythai.net | |
| # Deploy targets | |
| MINDXTRAIN_API_BASE_URL=https://mindx.pythai.net | |
| MINDXTRAIN_AGENTICPLACE_URL=https://agenticplace.pythai.net | |
| # Public /v1/training/jobs bearer-auth secret. Leave blank for an open | |
| # dev-mode operator; set in production so mindX agents and external callers | |
| # must present `Authorization: Bearer <this>`. Generate with `openssl rand -hex 32`. | |
| MINDXTRAIN_API_KEY= | |
| # mindX home — used by `data.source: mindx_dreams` recipes if they don't | |
| # pin an absolute `data.path`. | |
| MINDXTRAIN_MINDX_HOME=/home/hacker/mindX | |
| # Local registry (deploy hot-swap) | |
| MINDXTRAIN_REGISTRY_PATH=./out/registry.json | |
| # Observability (optional) | |
| MINDXTRAIN_OTEL_ENDPOINT= | |
| MINDXTRAIN_PROMETHEUS_PORT=9090 | |
| # Coach UI deploy — GitHub source-tree push | |
| GITHUB_TOKEN= | |
| GITHUB_REPO=professor-codephreak/mindXtrain | |
| GITHUB_DEFAULT_BRANCH=main | |
| GITHUB_AUTHOR_NAME=mindXtrain bot | |
| GITHUB_AUTHOR_EMAIL=noreply@pythai.net | |
| # Coach UI deploy — AMD Dev Cloud MI300X provisioning | |
| AMD_DEV_CLOUD_TOKEN= | |
| AMD_DEV_CLOUD_API_BASE=https://api.devcloud.amd.com | |
| AMD_DEV_CLOUD_SSH_KEY_ID=56216059 | |
| AMD_DEV_CLOUD_REGION=atl1 | |
| AMD_DEV_CLOUD_SIZE=gpu-mi300x8-1536gb-devcloud | |
| AMD_DEV_CLOUD_IMAGE=vllm-0-17-1 | |
| AMD_DEV_CLOUD_TAGS=mindx,train,aglm,agenticplace,pythai | |
| # Coach UI deploy — existing droplet sync (also used by provisioning to ssh in) | |
| DROPLET_HOST= | |
| DROPLET_USER=root | |
| DROPLET_SSH_KEY=~/.ssh/id_ed25519 | |
| DROPLET_REMOTE_PATH=/workspace/mindxtrain | |
| DROPLET_CONTAINER=rocm/primus:v26.2 | |