chore: import upstream snapshot with attribution
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# /// script
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# requires-python = ">=3.10"
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# dependencies = [
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# "openai>=1.50,<3",
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# "azure-identity>=1.19,<2",
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# ]
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# ///
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# Run with: uv run call_server.py
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# Copyright (c) Microsoft. All rights reserved.
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"""Call the deployed Hyperlight CodeAct Foundry hosted agent via the OpenAI client."""
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import os
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from azure.identity import AzureCliCredential
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from openai import OpenAI
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# Set FOUNDRY_AGENT_ENDPOINT to your deployed agent endpoint, e.g.
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# https://<your-foundry-resource>.services.ai.azure.com/api/projects/<project>/agents/<agent-name>
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ENDPOINT = os.environ.get(
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"FOUNDRY_AGENT_ENDPOINT",
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"https://<your-foundry-resource>.services.ai.azure.com/api/projects/<project>/agents/<agent-name>",
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)
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SCOPE = "https://ai.azure.com/.default"
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PROMPT = (
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"Fetch all users, find the admins, multiply 7 by 6, and print the users, "
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"admins and multiplication result. Use execute_code with call_tool(...)."
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)
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def main() -> None:
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token = AzureCliCredential().get_token(SCOPE).token
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client = OpenAI(base_url=ENDPOINT, api_key=token, default_query={"api-version": "v1"})
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response = client.responses.create(model="hosted-agent", input=PROMPT)
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print(response.output_text)
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if __name__ == "__main__":
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main()
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