wehub-resource-sync
24 lines
696 B
Python
24 lines
696 B
Python
from mlflow.deployments import get_deploy_client
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def main():
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client = get_deploy_client("http://localhost:7000")
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print(f"Anthropic endpoints: {client.list_endpoints()}\n")
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print(f"Anthropic completions endpoint info: {client.get_endpoint(endpoint='completions')}\n")
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# Completions request
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response_completions = client.predict(
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endpoint="completions",
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inputs={
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"prompt": "How many average size European ferrets can fit inside a standard olympic "
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"size swimming pool?",
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"max_tokens": 5000,
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},
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)
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print(f"Anthropic response for completions: {response_completions}")
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if __name__ == "__main__":
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main()
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