Coding-With-Raptor/Likendin-Agent

Remove max_turns parameter from run_streamed function in main.py to simplify streamed response handling.

Update main.py to limit max turns in streamed responses to 2 and modify model version in linkedin_assistant.py from "gemini-2.5-flash-preview-05-20" to "gemini-2.5-flash" for consistency and improved performance.

Refactor application structure by removing backend directory and integrating main.py directly. Update Dockerfile to reflect new entry point and streamline dependencies. Implement FastAPI with CORS support and asynchronous agent handling for improved functionality.

Update Dockerfile to change application entry point to backend/main:app for improved structure.

Update Dockerfile to use Python 3.13-slim for improved performance and compatibility.

Remove deprecated files and update Dockerfile to use Python 3.9, streamline dependencies in requirements.txt, and implement FastAPI application structure in main.py.

Set user to non-root in Dockerfile for improved security during application execution

Add symbolic link for uvicorn in Dockerfile to ensure accessibility in the container

Enhance Dockerfile by adding a non-root user, updating the PATH environment variable, and setting the working directory to /app.

Update Dockerfile to use Python 3.13-slim, streamline installation process, and configure application startup with uvicorn.

Add application file

initial commit