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47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from agent_framework import TextReasoningContent
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from agent_framework_ollama import OllamaChatClient
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"""
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Ollama Agent Reasoning Example
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This sample demonstrates implementing a Ollama agent with reasoning.
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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 reasoning, to test reasoning try qwen3:8b
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Set the model to use via the OLLAMA_CHAT_MODEL_ID environment variable or modify the code below.
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https://ollama.com/
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"""
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async def reasoning_example() -> None:
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print("=== Response Reasoning Example ===")
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agent = OllamaChatClient().create_agent(
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name="TimeAgent",
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instructions="You are a helpful agent answer in one sentence.",
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additional_chat_options={"think": True}, # Enable Reasoning on agent level
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)
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query = "Hey what is 3+4? Can you explain how you got to that answer?"
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print(f"User: {query}")
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# Enable Reasoning on per request level
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result = await agent.run(query)
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reasoning = "".join(c.text for c in result.messages[-1].contents if isinstance(c, TextReasoningContent))
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print(f"Reasoning: {reasoning}")
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print(f"Answer: {result}\n")
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async def main() -> None:
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print("=== Basic Ollama Chat Client Agent Reasoning ===")
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await reasoning_example()
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if __name__ == "__main__":
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asyncio.run(main())
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