OpenCopilot: FREE Opensource AI Copilot Executing APIs (Installation Tutorial)

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AI Summary

Summary: Open Source AI Co-Pilot Updates

• Background:
  • Reviewed an open-source AI co-pilot a few months ago.
  • AI co-pilots are increasing in popularity due to their productivity and efficiency benefits.
• Integration and Functionality:
  • Integrates with APIs to execute calls as needed.
  • Uses large language models to determine and execute appropriate API calls.
• New Updates:
  1. Cloud-based dashboard for easier access.
  2. Upgraded planning engine.
  3. Ability to track and view chat conversations with the AI co-pilot.
• Use Cases:
  • Not limited to creating AI co-pilots for products.
  • Can validate data and API endpoints, recommend actions, and deploy in various scenarios.
• Example Use Case:
  • Upload files for the co-pilot to work with.
  • Co-pilot validates data and recommends actions for deployability.
• Additional Features:
  • Breakdown of product sales, recommendations, and top-selling brands.
  • Assists in scaling, editing, or generating improvements for products.
• Access and Community:
  • Private Discord for ai-tools, networking, and support.
  • Consulting services available for business growth and AI solutions.
• Tool Overview:
  • Open copilot is free and open-source under the MIT license.
  • Supports OpenAPI standard protocol.
  • Allows SaaS product users to interact with product functionality via chat.
• New Cloud Platform Features:
  • Documentation and crash courses for creating AI co-pilots.
  • Change log feature to track conversations and understand the planning engine.
• Creating AI Co-Pilots:
  • Define actions and upload files to create a co-pilot.
  • New cloud dashboard offers customizable features.
• Documentation and Tutorials:
  • Detailed guides on implementing AI co-pilots.
  • Introduction of “flows” to map user requests to endpoints.
• Local Installation:
  • Prerequisites include Python, Git, and VS Code.
  • Clone the GitHub repository and configure API keys.
  • Use make install command to set up the project locally.
• Conclusion:
  • The AI co-pilot can significantly enhance productivity in various use cases.
  • All necessary links and resources are provided for further exploration.

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