Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Integrations

Supercharge 0CodeKit with Relevance AI

Chaindesk is an integration platform that allows developers to build and interact with ChatGPT-powered agents trained on custom data. With Relevance AI, you can elevate these interactions, making them smarter and more responsive to user needs.

Give your AI Agents 0CodeKit Superpowers

Chaindesk empowers developers to create and manage custom ChatGPT-powered agents. Relevance AI amplifies this capability by enabling intelligent interactions and dynamic data handling through AI agents that can learn and adapt.

Knowledge Orchestration

Seamlessly connects and synthesizes information from multiple data sources to deliver comprehensive, contextual responses.

Intelligent Workflow Automation

Streamlines complex processes by automatically routing queries, creating tickets, and escalating issues based on context.

Dynamic Response Generation

Creates contextually aware, personalized responses by combining historical data with real-time information.

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI seamlessly integrates with Chaindesk to enhance your workflows with powerful AI agents.

0codekit - Compress PDF
A tool for compressing PDF files by providing a URL to the source PDF and specifying the output filename, helping reduce file sizes while maintaining document quality
0codekit - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
0codekit - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
Name
0codekit API Call
Description
Make an authorized request to a 0codekit API
Parameters
["OAuth Authentication", "Multiple HTTP Methods (GET, POST, PUT, DELETE, PATCH)", "Custom Headers", "Request Body Support", "Response Status Tracking"]
Use Case
A software development team uses 0codekit API Call to automate their deployment process by making authenticated API requests to trigger builds and updates across their infrastructure. This integration streamlines their CI/CD pipeline by enabling secure, programmatic access to their development resources.

Security & Reliability

The Chaindesk integration platform utilizes secure OAuth authentication, ensuring that only authorized workflows can access your ChatGPT-powered agents. This integration allows developers to programmatically manage agents and conversations through a RESTful API, streamlining the process of submitting queries and updating agent configurations.

With built-in support for multiple GPT models and flexible visibility controls, Chaindesk ensures that your custom AI agents operate efficiently and securely. The platform handles API operations (like POST for submitting messages and PUT for updating agents) seamlessly, allowing you to focus on building engaging conversational experiences without worrying about errors or formatting issues.

Additionally, Chaindesk provides robust error handling and validation mechanisms, ensuring that your interactions with the API run smoothly, even when dealing with varying data formats. This makes it easier to manage conversations and maintain the integrity of your AI agents.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the 0CodeKit + Relevance AI integration without writing code:
  • Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
  • Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
  • Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
  • Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
  • Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.