Sylvi Agent Doc
  • About
    • Sylvi Agent
    • Sylvi Framework
      • Features
      • Core Principles
      • Framework Layers
      • Fact Engine
        • Chart Analysis (beta)
    • Skills and Plugins
    • Architecture Overview
  • Quick Start (Soon)
    • Quick Start Guide
    • Local Development Setup
  • Roadmap
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  • Skills and Plugins
  • Potential Issues and Considerations

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  1. About

Skills and Plugins

Skills and Plugins

Agents extend their functionality through discrete skill modules. Each skill is typically a self-contained Python module that implements:

  • Action or Input: For instance, “get tweets” or “reply to mention.”

  • Integration: The skill coordinates with external APIs or local processes.

  • Return Data: The skill structures output in a standard format so the agent can interpret or route it.

Plugin Example: A “Solana plugin” might let an agent query balance, perform token transfers, or fetch NFT data. Once activated, these tasks are accessible from the no-code interface or code-based configurations.

Potential Issues and Considerations

  1. Missing or Incorrect Keys: If OPENAI_API_KEY or Twitter credentials are not set, certain features will fail.

  2. Security: For production environments, store secrets securely (e.g., GCP, AWS Secrets Manager).

  3. Database Migrations: Always ensure migrations are synced with your database.

  4. Scaling: For high-load scenarios, Docker Compose or Kubernetes can be configured to replicate services (e.g., multiple API containers).

  5. Version Compatibility: Confirm Python 3.12 compatibility for all libraries.

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Last updated 5 months ago

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