MicroBots is a lightweight, extensible AI agent for code comprehension and controlled file edits. It integrates cleanly into automation pipelines, mounting a target directory with explicit read-only or read/write modes so LLMs can safely inspect, refactor, or generate files with least‑privilege access.
from microbots import WritingBot
myWritingBot = WritingBot(
model="azure-openai/my-gpt5", # model format : <provider/deployment_model_name>
folder_to_mount=str("myReactApp"),
)
data = myWritingBot.run("""when doing npm run build, I get an error.
Fix the error and make sure the build is successful.""", timeout_in_seconds=600)
print(data.results)- Docker
- AI LLM Provider and API Key
pip install microbotsAzure OpenAI Models - Add the below environment variables in a .env file in the root of your application
OPEN_AI_END_POINT=XXXXXXXXXXXXXXXXXXXXXXXXXX
OPEN_AI_KEY=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXPre-requisite for the below example code of Bots:
From the root of your application, Create a folder called code inside which clone the repo https://github.com/swe-agent/test-repo/. Now run the code
from microbots import ReadingBot
myBot = ReadingBot(
model="azure-openai/my-gpt5",
folder_to_mount="code"
)
runResult = myBot.run("When I am running missing_colon.py I am getting SyntaxError: invalid syntax. Find the error and explain me what is the error", timeout_in_seconds=600)
print(runResult)The ReadingBot will read the files inside code folder and will extract information based on specific instructions given to the bot.
Pre-requisite for the example code:
From the root the application, Create a folder called code inside which clone the repo https://github.com/swe-agent/test-repo/. Now run the code
from microbots import WritingBot
myBot = WritingBot(
model="azure-openai/my-gpt5",
folder_to_mount="code"
)
myBot.run("When I am running missing_colon.py I am getting SyntaxError: invalid syntax. Fix the error and make sure the code runs without any errors.", timeout_in_seconds=600)The WritingBot will read and write the files inside code folder based on specific instructions given to the bot.
The MicroBots create a containerized environment and mount the specified directory with restricting the permissions to read-only or read/write based on Bot used. It ensures that the AI agents operate within defined boundaries which enhances security and control over code modifications as well as protecting the local environment.
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