PlatformGen - Autonomous Dependency Manager
- Draft PR created: https://github.com/sakomws/aiproxy/pull/54
- Regular upgrades of infrastructure services are essential to mitigate vulnerabilities and enhance performance.
- Focus on building sustainable, long-term solutions rather than short-term patches.
- Efficient updates prevent system failures and ensure smooth operations.
- Managing dependencies is hard as your codebase grows .
- Time-consuming for teams.
- Higher costs & increased risk of system failures.
- Difficult to scale as services grow.
- Slower development cycles.
- For Fortune 1,000 companies, downtime could cost as much as $1 mln per hour (IDC survey).
- While the typical mid-sized company spends $1 mln per year on incidents, large enterprises can spend up to $60 mln or more (IHS Research Report).
- Utilized for fetching repository data, accessing files, and creating commits and pull requests.
- Managed authentication using personal access tokens.
- Used gpt-3.5-turbo model to generate a summary of differences between software package requirements.
- Helps in comparing original and updated requirements.txt files.
- Integrated to provide additional summaries using gpt-4-turbo.
- Supports multiple steps in generating a structured summary of requirement changes.
- Connects via API to use the Meta-Llama-3.2-3B-Instruct model for creating another version of the summary.
- Provides a diverse set of summarization capabilities.
- Engages with the llama-3.2-3b-preview model.
- Complements the summarization task with custom parameters like temperature and tokens.
- Provides neural search and content generation for dependencies on the web, X.
- Enhances the summarization process by fetching context from external sources.