mirror of https://github.com/dapr/dapr-agents.git
29 lines
888 B
Python
29 lines
888 B
Python
from dapr_agents import OpenAIChatClient
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from dapr_agents.types import UserMessage
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from dotenv import load_dotenv
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# Load environment variables from .env
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load_dotenv()
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# Basic chat completion
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llm = OpenAIChatClient()
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response = llm.generate("Name a famous dog!")
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if len(response.get_content()) > 0:
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print("Response: ", response.get_content())
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# Chat completion using a prompty file for context
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llm = OpenAIChatClient.from_prompty("basic.prompty")
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response = llm.generate(input_data={"question": "What is your name?"})
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if len(response.get_content()) > 0:
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print("Response with prompty: ", response.get_content())
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# Chat completion with user input
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llm = OpenAIChatClient()
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response = llm.generate(messages=[UserMessage("hello")])
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if len(response.get_content()) > 0 and "hello" in response.get_content().lower():
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print("Response with user input: ", response.get_content())
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