Files
2026-07-13 13:22:34 +08:00

24 lines
683 B
Python

from mlflow.deployments import get_deploy_client
def main():
client = get_deploy_client("http://localhost:7000")
print(f"Bedrock endpoints: {client.list_endpoints()}\n")
print(f"Bedrock completions endpoint info: {client.get_endpoint(endpoint='completions')}\n")
# Completions example
response_completions = client.predict(
endpoint="completions",
inputs={
"prompt": "How many patties could be stacked on a cheeseburger before issues arise?",
"max_tokens": 200,
"temperature": 0.25,
},
)
print(f"Bedrock completions response: {response_completions}")
if __name__ == "__main__":
main()