mirror of
https://github.com/mcp-use/mcp-use.git
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Salvatore Gabriele Karra
39e85c8c25
* feat(python): accept HumanMessage queries and move file input into messages * use image as example * restore remote.py Signed-off-by: Salvatore Gabriele Karra <86735558+gabrielekarra@users.noreply.github.com> * lint * fix example in docs - create example * update docs * remove tests --------- Signed-off-by: Salvatore Gabriele Karra <86735558+gabrielekarra@users.noreply.github.com> Co-authored-by: pietrozullo <pietro.zullo@gmail.com>
36 lines
833 B
Python
36 lines
833 B
Python
import asyncio
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import base64
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from pathlib import Path
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from langchain_core.messages import HumanMessage
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from langchain_openai import ChatOpenAI
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from mcp_use import MCPAgent, MCPClient
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async def main():
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client = MCPClient()
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agent = MCPAgent(
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llm=ChatOpenAI(model_name="gpt-5"),
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client=client,
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)
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image_bytes = base64.b64encode(Path("static/logo-gh.jpg").read_bytes()).decode("utf-8")
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human_message = HumanMessage(
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content=[
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{"type": "text", "text": "What is in this image?"},
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{
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"type": "image",
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"base64": image_bytes,
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"mime_type": "image/jpeg",
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},
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]
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)
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async for step in agent.stream(human_message, max_steps=10):
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print(step)
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if __name__ == "__main__":
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asyncio.run(main())
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