From: aidotengineer
The development of an open-source video editing agent for “reskill” led to the adoption of the core library due to limitations found in other tools like FFmpeg and Remotion [00:01:22]. While Remotion offered unreliable server-side rendering, core was favored because its API did not require a separate rendering backend [00:01:30].
Core Library Capabilities
The core library, originating from Diffusion Studio, facilitates complex video compositions [00:01:46]. Its key feature is a JavaScript/TypeScript-based programmatic interface [00:01:52].
Integration with AI Agents and LLMs
The programmatic interface of core makes it a perfect match for AI agents that utilize Large Language Models (LLMs) [00:02:05]. This allows LLMs to generate code to perform actions, as code is considered the optimal way to express actions for a computer [00:02:08].
Research papers have also indicated that LLM tool calling when expressed in code is significantly more effective than when expressed in JSON [00:02:15].
Architecture Flow
In the agent’s architecture, a video editing tool leverages core by generating code based on user prompts and executing it directly in the browser [00:03:08].
Future Development
While the initial version of the agent is in Python, a TypeScript implementation is currently underway [00:04:40].
Collaboration
The development of this agent and its integration with the core library is a collaboration between Diffusion Studio, the author of the core library, and rskill [00:01:40], [00:04:56].