Skip to main content

Text Resources

Text resources allow you to store plain text, markdown, JSON, or any text-based content directly in Reeva. They're ideal for providing context, configurations, and documentation to AI models.

Creating a Text Resource​

  1. Navigate to Resources in the left sidebar
  2. Click + New Resource
  3. Select Text as the resource type
  4. Fill in the resource details:
    • Name: Use letters, numbers, and underscores (e.g., coding_standards)
    • Description: Brief description of what this resource contains
    • URI: Auto-generated or provide a custom URI (e.g., text://coding-standards)
    • Content: Enter your text content
    • MIME Type: Choose Plain Text, Markdown, or JSON

Supported MIME Types​

  • text/plain: Plain text files
  • text/markdown: Markdown-formatted documentation
  • application/json: JSON data structures

Size Limits​

  • Text resources can be up to 1MB in size
  • Small text (< 100KB) is stored inline for fast access
  • Larger text is stored in cloud storage

Example Use Cases​

Coding Standards​

Create a resource with your team's coding standards and style guide:

# Python Coding Standards

## Naming Conventions
- Use snake_case for functions and variables
- Use PascalCase for classes
- Constants should be UPPERCASE

## Documentation
All functions must have docstrings...

API Configuration​

Store API endpoint information and authentication details:

{
  "api_base_url": "https://api.example.com/v1",
  "endpoints": {
    "users": "/users",
    "products": "/products"
  },
  "rate_limit": 100
}

Project Context​

Provide context about your project structure:

# Project Overview

This is a microservices architecture with:
- Auth Service (Python/FastAPI)
- User Service (Node.js/Express)
- Product Service (Go)

Database: PostgreSQL
Cache: Redis
Message Queue: RabbitMQ

Editing Text Resources​

  1. Navigate to the resource detail page
  2. Modify the content in the text editor
  3. Click Save to update

Changes are immediately reflected in all servers linked to this resource.

Linking to Servers​

After creating a text resource:

  1. Open the resource detail page
  2. In the Linked Servers section, select a server from the dropdown
  3. The resource is now accessible to AI clients connected to that server

You can link the same resource to multiple servers.

Best Practices​

  • Keep it Focused: Each resource should have a single, clear purpose
  • Use Descriptive Names: Make it easy to identify resources at a glance
  • Update Regularly: Keep documentation and configurations current
  • Organize with Descriptions: Use clear descriptions for searchability
  • Choose Appropriate MIME Types: This helps AI models understand the content format