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* Python: Provider-leading client design & OpenAI package extraction Major refactoring of the Python Agent Framework client architecture: - Extract OpenAI clients into new `agent-framework-openai` package - Core package no longer depends on openai, azure-identity, azure-ai-projects - Rename clients for discoverability: OpenAIResponsesClient → OpenAIChatClient, OpenAIChatClient → OpenAIChatCompletionClient - Unify `model_id`/`deployment_name`/`model_deployment_name` → `model` param - New FoundryChatClient for Azure AI Foundry Responses API - New FoundryAgent/FoundryAgentClient for connecting to pre-configured Foundry agents - Remove OpenAIBase/OpenAIConfigMixin from non-deprecated client MRO - Deprecate AzureOpenAI* clients, AzureAIClient, OpenAIAssistantsClient - Reorganize samples: azure_openai+azure_ai+azure_ai_agent → azure/ - ADR-0020: Provider-Leading Client Design Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: missing Agent imports in samples, .model_id → .model in foundry_local sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: CI failures — mypy errors, coverage targets, sample imports - azure-ai mypy: add type ignores for TypedDict total=, model arg, forward ref - Coverage: replace core.azure/openai targets with openai package target - project_provider: add type annotation for opts dict Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: populate openai .pyi stub, fix broken README links, coverage targets Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fixes * updated observabilitty * reset azure init.pyi * fix errors * updated adr number * fix foundry local * fixed not renamed docstrings and comments, and added deprecated markers to old classes * fix tests and pyprojects * fix test vars * updated function tests * update durable * updated test setup for functions * Fix Foundry auth in workflow samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Stabilize Python integration workflows Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update hosting samples for Foundry Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Trigger full CI rerun Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Trigger CI rerun again Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * trigger rerun * trigger rerun * fix for litellm * undo durabletask changes * Move Foundry APIs into foundry namespace Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Foundry pyproject formatting Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Split provider samples by Foundry surface Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Restore hosting sample requirements Also fix the Foundry Local sample link after the provider sample move. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated tests * udpated foundry integration tests * removed dist from azurefunctions tests * Use separate Foundry clients for concurrent agents Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix client setup in azfunc and durable * disabled two tests * updated setup for some function and durable tests * improved azure openai setup with new clients * ignore deprecated * fixes * skip 11 * remove openai assistants int tests --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
81 lines
2.1 KiB
Python
81 lines
2.1 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from agent_framework import Agent, FunctionTool
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from agent_framework.openai import OpenAIResponsesClient
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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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Example of how to create a function that only consists of a declaration without an implementation.
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This is useful when you want the agent to use tools that are defined elsewhere or when you want
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to test the agent's ability to reason about tool usage without executing them.
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The only difference is that you provide a FunctionTool without a function.
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If you need a input_model, you can still provide that as well.
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"""
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async def main():
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function_declaration = FunctionTool(
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name="get_current_time",
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description="Get the current time in ISO 8601 format.",
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)
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agent = Agent(
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client=OpenAIResponsesClient(),
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name="DeclarationOnlyToolAgent",
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instructions="You are a helpful agent that uses tools.",
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tools=function_declaration,
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)
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query = "What is the current time?"
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print(f"User: {query}")
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result = await agent.run(query)
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print(f"Result: {result.to_json(indent=2)}\n")
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"""
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Expected result:
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User: What is the current time?
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Result: {
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"type": "agent_response",
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"messages": [
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{
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"type": "chat_message",
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"role": {
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"type": "role",
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"value": "assistant"
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},
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"contents": [
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{
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"type": "function_call",
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"call_id": "call_0flN9rfGLK8LhORy4uMDiRSC",
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"name": "get_current_time",
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"arguments": "{}",
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"fc_id": "fc_0fd5f269955c589f016904c46584348195b84a8736e61248de"
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}
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],
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"author_name": "DeclarationOnlyToolAgent",
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"additional_properties": {}
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}
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],
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"response_id": "resp_0fd5f269955c589f016904c462d5cc819599d28384ba067edc",
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"created_at": "2025-10-31T15:14:58.000000Z",
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"usage_details": {
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"type": "usage_details",
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"input_token_count": 63,
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"output_token_count": 145,
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"total_token_count": 208,
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"openai.reasoning_tokens": 128
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},
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"additional_properties": {}
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}
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"""
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if __name__ == "__main__":
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asyncio.run(main())
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