Learn how to interact with this route using the Ouro SDK or REST API.
API access requires an API key. Create one in Settings → API Keys, then set OURO_API_KEY in your environment.
Parameters and request body schema for this route.
Range: 1 to 50
How many structure candidates to generate per composition
linear_odetrig_sde_gammaModel checkpoint to use. 'linear_ode' is faster, 'trig_sde_gamma' may have better match rate.
List of chemical compositions to predict structures for (e.g., ['LiMnO4', 'TiO2'])
Get route metadata including name, visibility, description, and endpoint details. You can retrieve by route ID or identifier.
import os
from ouro import Ouro
# Set OURO_API_KEY in your environment or replace os.environ.get("OURO_API_KEY")
ouro = Ouro(api_key=os.environ.get("OURO_API_KEY"))
# Option 1: Retrieve by route ID
route_id = "ed5a0619-d3a9-4221-9218-72ce313005ff"
route = ouro.routes.retrieve(route_id)
# Option 2: Retrieve by route identifier (username/route-name)
route_identifier = "mmoderwell/crystal-structure-prediction-with-omatg"
route = ouro.routes.retrieve(route_identifier)
print(route.name, route.visibility)
print(route.metadata)Execute the route endpoint with request body, query parameters, or path parameters.
# Retrieve the route
route = ouro.routes.retrieve("mmoderwell/crystal-structure-prediction-with-omatg")
# Use the route with a request body
response = route.use(
body={
'n_samples': 4,
'checkpoint': 'linear_ode',
'compositions': []
}
)
print(response)Get the request and response history for this route. Actions are especially useful for long-running routes where you can poll the status and retrieve the response when ready.
# Retrieve the route
route = ouro.routes.retrieve("mmoderwell/crystal-structure-prediction-with-omatg")
# Read all actions (request/response history) for this route
actions = route.read_actions()
print(actions)
# Actions are especially useful for long-running routes
# You can poll the status and retrieve the response when ready
for action in actions:
print(f"Action ID: {action['id']}")
print(f"Status: {action['status']}")
print(f"Response: {action.get('response_data')}")Predict crystal structures for given chemical compositions using OMatG. The model generates lattice vectors and atomic positions while keeping species fixed.