One client for the whole platform.

Python

import fantasti

# one key, one client
fx = fantasti.Client()

node = fx.instances.create(
    gpu="H100:8",
    capacity=fantasti.Reserved("rsv_7d2k"))
sb = fx.sandboxes.create(
    image="python:3.12", ttl="15m")
run = fx.batch.create(
    image="ghcr.io/acme/scorer:2026.10",
    input="s3://acme/in/*.jsonl",
    output="s3://acme/out/")

for o in (node, sb, run):
    print(o.id, o.status, o.placement)

ins_8f2a…  ready   us-east · fabric a · reserved
sb_7q2m…   ready   us-east · on-demand
bat_2kq8…  queued  None

CLI

$ fantasti instance create ft-01 --gpu H100:1 --on-demand
$ fantasti instance list

$ fantasti cluster create sft-01 --gpu H200:8 \
    --nodes 2 --spot --max-price 3.10

request   H200:8 × 2 · one InfiniBand fabric · spot ≤ 3.10
pools     4 considered
placed    cl_8f2k… · us-east · fabric a
state     running · kubeconfig saved

MCP

{
  "mcpServers": {
    "fantasti": {
      "type": "http",
      "url": "https://mcp.fantasti.ai/mcp"
    }
  }
}

catalog     gpus_list
sandboxes   sandboxes_create · sandboxes_exec · sandboxes_read_file
            sandboxes_write_file · sandboxes_delete
workspaces  workspaces_list · workspaces_start · workspaces_stop
jobs        jobs_create · jobs_logs
usage       usage_get

REST

curl -X POST https://api.fantasti.ai/v1/instances \
  -H "Authorization: Bearer $FANTASTI_API_KEY" \
  -H "Idempotency-Key: ft-01-create" \
  -H "Content-Type: application/json" \
  -d '{
        "name": "ft-01",
        "gpu": "H100:1",
        "capacity": { "mode": "on_demand" }
      }'
# 202 → { "id": "ins_8f2a…", "status": "placing" }

YAML

# policy.yaml · applies to every request from team "research"
team: research
placement:
  gpus: [H100, H200, B200]
  fabric: infiniband            # multi-node jobs stay on one fabric
  regions: ["us-*"]
capacity:
  allow: [on_demand, spot, reserved]
  spot:
    max_price: { H100: 2.40, H200: 3.10 }   # your ceilings
limits:
  gpus: { H200: 32 }
  sandboxes: { concurrent: 200, max_ttl: 60m }
  spend: { monthly_usd: 40000 }
cost_center: research-llm