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strukto-ai--mirage/examples/python/agents/openhands/sandbox_agent.py
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chore: import upstream snapshot with attribution
2026-07-13 12:30:44 +08:00

81 lines
2.8 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 os
from dotenv import load_dotenv
from openhands.sdk import LLM, Agent, Conversation, Tool
from mirage import MountMode, Workspace
from mirage.agents.openhands import MirageWorkspace, register_mirage_terminal
from mirage.resource.ram import RAMResource
from mirage.resource.s3 import S3Config, S3Resource
from mirage.resource.slack import SlackConfig, SlackResource
load_dotenv(".env.development")
TASK = (
"Find any Slack messages containing the word 'hello' (case-insensitive) "
"in the general channel. The channel directory is at "
"/slack/channels/ and starts with 'general'. Each day's messages live "
"in a <yyyy-mm-dd>.jsonl file. Use `ls` to discover the exact channel "
"directory, then `grep -i hello` across its jsonl files. Report the "
"matching message texts and stop.")
def build_workspace() -> Workspace:
s3 = S3Resource(
S3Config(
bucket=os.environ["AWS_S3_BUCKET"],
region=os.environ.get("AWS_DEFAULT_REGION", "us-east-1"),
aws_access_key_id=os.environ["AWS_ACCESS_KEY_ID"],
aws_secret_access_key=os.environ["AWS_SECRET_ACCESS_KEY"],
))
slack = SlackResource(config=SlackConfig(
token=os.environ["SLACK_BOT_TOKEN"],
search_token=os.environ.get("SLACK_USER_TOKEN"),
))
return Workspace(
{
"/": (RAMResource(), MountMode.WRITE),
"/s3": (s3, MountMode.READ),
"/slack": (slack, MountMode.READ),
},
mode=MountMode.WRITE,
)
def main() -> None:
ws = build_workspace()
llm = LLM(
model=os.getenv("LLM_MODEL", "anthropic/claude-sonnet-4-6"),
api_key=os.getenv("LLM_API_KEY"),
base_url=os.getenv("LLM_BASE_URL", None),
)
with MirageWorkspace(workspace=ws, working_dir="/") as mirage_ws:
tool_name = register_mirage_terminal(mirage_ws)
agent = Agent(
llm=llm,
tools=[Tool(name=tool_name)],
system_message=ws.file_prompt,
)
conversation = Conversation(agent=agent, workspace=mirage_ws)
conversation.send_message(TASK)
conversation.run()
if __name__ == "__main__":
main()