Buckets:
| import asyncio | |
| from mcp_agent.core.fastagent import FastAgent | |
| # Create the application | |
| fast = FastAgent("mcp server tests") | |
| # Define the agent | |
| # @fast.agent(name="anon",instruction="You are a helpful AI Agent",servers=["anon_hf"]) | |
| async def main(): | |
| # use the --model command line switch or agent arguments to change model | |
| async with fast.run() as agent: | |
| # print(await agent.DVe0UTvm4.call_tool("hf_whoami",{})) | |
| # print(await agent.DVe0UTvm4.call_tool("test_hf-hf_whoami",{})) | |
| await agent.interactive() | |
| if __name__ == "__main__": | |
| asyncio.run(main()) | |
Xet Storage Details
- Size:
- 682 Bytes
- Xet hash:
- 10aa3e1db47f3b8a5e55434df7dfdf5be6f11c29fc7279e4de3c85425c1e922a
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.