mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
Eduard van Valkenburg
6acab3d1d6
* Refactor Anthropic model option and provider clients Rename the Anthropic client model option from model_id to model, add provider-specific Anthropic wrappers for Foundry, Bedrock, and Vertex, and expose them through the Anthropic, Foundry, Amazon, and Google namespaces. Update core option handling, docs, samples, and tests accordingly. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Anthropic skills sample typing Cast the Anthropic beta client to Any in the skills sample so the pre-commit sample pyright check no longer fails on beta skills and files endpoints that are not exposed by the current SDK stubs. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * undo sample mypy * Retry CI after transient external failures Retrigger PR validation after an unrelated Copilot review workflow SAML failure and a transient external tau2 git fetch failure in the Windows Python test setup. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review feedback on model option merging Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address Anthropic compatibility review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * moved all to `model` * fixes for azure ai search * Python: standardize remaining sample env var names Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix foundry-local pyright compatibility Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated env vars in cicd --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
80 lines
2.4 KiB
Python
80 lines
2.4 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from datetime import datetime
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from agent_framework import Agent, tool
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from agent_framework.ollama import OllamaChatClient
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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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Ollama Agent Basic Example
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This sample demonstrates implementing a Ollama agent with basic tool usage.
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Ensure to install Ollama and have a model running locally before running the sample
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Not all Models support function calling, to test function calling try llama3.2 or qwen3:4b
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Set the model to use via the OLLAMA_MODEL environment variable or modify the code below.
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https://ollama.com/
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"""
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# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production;
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# see samples/02-agents/tools/function_tool_with_approval.py
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# and samples/02-agents/tools/function_tool_with_approval_and_sessions.py.
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@tool(approval_mode="never_require")
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def get_time(location: str) -> str:
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"""Get the current time."""
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return f"The current time in {location} is {datetime.now().strftime('%I:%M %p')}."
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async def non_streaming_example() -> None:
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"""Example of non-streaming response (get the complete result at once)."""
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print("=== Non-streaming Response Example ===")
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agent = Agent(
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client=OllamaChatClient(),
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name="TimeAgent",
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instructions="You are a helpful time agent answer in one sentence.",
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tools=get_time,
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)
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query = "What time is it in Seattle? Use a tool call"
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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}\n")
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async def streaming_example() -> None:
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"""Example of streaming response (get results as they are generated)."""
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print("=== Streaming Response Example ===")
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agent = Agent(
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client=OllamaChatClient(),
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name="TimeAgent",
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instructions="You are a helpful time agent answer in one sentence.",
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tools=get_time,
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)
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query = "What time is it in San Francisco? Use a tool call"
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print(f"User: {query}")
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print("Agent: ", end="", flush=True)
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async for chunk in agent.run(query, stream=True):
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if chunk.text:
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print(chunk.text, end="", flush=True)
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print("\n")
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async def main() -> None:
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print("=== Basic Ollama Chat Client Agent Example ===")
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await non_streaming_example()
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await streaming_example()
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if __name__ == "__main__":
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asyncio.run(main())
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