concierge
Verified Safeby Agentic-Web-Interfaces
Overview
A framework for building and serving agentic workflows, enabling autonomous agents to interact with application services through structured stages and tasks.
Installation
python main.pySecurity Notes
The server uses FastAPI and a custom `LanguageEngine` to process incoming JSON requests from agents. User-provided arguments for task execution (`args` in `method_call`) are passed directly as `**kwargs` to the underlying Python task functions. While Pydantic schemas are generated for LLM prompting, there is no explicit runtime validation within the framework's execution path to ensure these `args` strictly conform to the task's schema before execution. This means the security and input validation are primarily reliant on the individual task implementations and Python's native argument handling. For the provided simple demo tasks, this does not pose an immediate threat. However, for custom tasks, developers must implement robust input validation to prevent potential vulnerabilities if unexpected or malicious data is passed.
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