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

30 lines
905 B
Python

from mlflow.deployments import get_deploy_client
def main():
client = get_deploy_client("http://localhost:7000")
print(f"Cohere endpoints: {client.list_endpoints()}\n")
print(f"Cohere completions endpoint info: {client.get_endpoint(endpoint='completions')}\n")
# Completions request
response_completions = client.predict(
endpoint="completions",
inputs={
"prompt": "What is the world record for flapjack consumption in a single sitting?",
"temperature": 0.1,
},
)
print(f"Cohere response for completions: {response_completions}")
# Embeddings request
response_embeddings = client.predict(
endpoint="embeddings",
inputs={"input": ["Do you carry the Storm Trooper costume in size 2T?"]},
)
print(f"Cohere response for embeddings: {response_embeddings}")
if __name__ == "__main__":
main()