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strukto-ai--mirage/examples/python/agents/agno/agno_example.py
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wehub-resource-sync bcbd1bdb22
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chore: import upstream snapshot with attribution
2026-07-13 12:30:44 +08:00

60 lines
1.9 KiB
Python

# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
import asyncio
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from dotenv import load_dotenv
from mirage import MountMode, RAMResource, Workspace
from mirage.agents.agno import MirageToolkit
load_dotenv(".env.development")
ws = Workspace({"/data": RAMResource()}, mode=MountMode.WRITE)
agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[MirageToolkit(ws)],
instructions=("You have access to a virtual filesystem via shell "
"tools. Use them to explore and read files."),
markdown=True,
)
TASK = "List all files under /data and show the contents of each one."
def main() -> None:
asyncio.run(ws.execute('echo "hello from mirage" | tee /data/hello.txt'))
agent.print_response(TASK)
async def amain() -> None:
await ws.execute('echo "hello from mirage" | tee /data/hello.txt')
await agent.aprint_response(TASK)
records = ws.ops.records
if records:
total = sum(r.bytes for r in records)
print(f"\n--- {len(records)} ops, {total:,} bytes ---")
for r in records:
print(f" {r.op:<8} {r.source:<8} {r.bytes:>10,} B "
f"{r.duration_ms:>5} ms {r.path}")
if __name__ == "__main__":
main()
asyncio.run(amain())