mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
Giles Odigwe
6b47cdbf52
* Python: Fix broken samples for GitHub Copilot, declarative, and Responses API - Add missing on_permission_request handler to github_copilot_basic and github_copilot_with_session samples (required by copilot SDK) - Increase timeout for remote MCP query in github_copilot_with_mcp sample - Soften session isolation claim in github_copilot_with_session sample - Fix inline_yaml sample: pass project_endpoint via client_kwargs instead of relying on YAML connection block (AzureAIClient expects project_endpoint, not endpoint) - Handle raw JSON schemas in Responses client _convert_response_format so declarative outputSchema works with the Responses API Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Improve raw JSON schema detection heuristic and add tests - Broaden raw schema detection to handle anyOf, oneOf, allOf, $ref, $defs keywords and JSON Schema primitive types, not just 'properties' - Apply same raw schema handling to azure-ai _shared.py for consistency - Add unit tests for both openai and azure-ai response_format conversion Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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import os
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from agent_framework.declarative import AgentFactory
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from azure.identity.aio import AzureCliCredential
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from dotenv import load_dotenv
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# Load environment variables from .env file
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load_dotenv()
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"""
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This sample shows how to create an agent using an inline YAML string rather than a file.
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It uses a Azure AI Client so it needs the credential to be passed into the AgentFactory.
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Prerequisites:
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- `pip install agent-framework-foundry agent-framework-declarative --pre`
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- Set the following environment variables in a .env file or your environment:
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- FOUNDRY_PROJECT_ENDPOINT
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- AZURE_OPENAI_MODEL
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"""
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async def main():
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"""Create an agent from a declarative YAML specification and run it."""
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yaml_definition = """kind: Prompt
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name: DiagnosticAgent
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displayName: Diagnostic Assistant
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instructions: Specialized diagnostic and issue detection agent for systems with critical error protocol and automatic handoff capabilities
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description: A agent that performs diagnostics on systems and can escalate issues when critical errors are detected.
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model:
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id: =Env.AZURE_OPENAI_MODEL
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"""
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# create the agent from the yaml
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async with (
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AzureCliCredential() as credential,
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AgentFactory(
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client_kwargs={
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"credential": credential,
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"project_endpoint": os.environ["FOUNDRY_PROJECT_ENDPOINT"],
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},
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safe_mode=False,
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).create_agent_from_yaml(yaml_definition) as agent,
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):
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response = await agent.run("What can you do for me?")
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print("Agent response:", response.text)
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if __name__ == "__main__":
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asyncio.run(main())
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