MindsDB connects to various data sources and LLMs, bringing data and AI together for easy AI automation. With Portkey, you can run MindsDB AI systems with 250+ LLMs and implement enterprise-grade features like LLM observability, caching, advanced routing, and more to build production-grade MindsDB AI apps.Documentation Index
Fetch the complete documentation index at: https://portkey-docs-mintlify-bedrock-guardrails-docs-36443.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Prerequisites
Before proceeding, ensure the following prerequisites are met:- Install MindsDB locally via Docker or Docker Desktop.
- To use Portkey within MindsDB, install the required dependencies following this instruction.
- Obtain the Portkey API key required to deploy and use Portkey within MindsDB.
Setup
Create an AI engine from the Portkey handler
- You can pass all the parameters that are supported by Portkey inside the
USINGclause. - Check out the Portkey handler implementation here.
Portkey’s configs are a powerful way to build robust AI systems. You can use them to implement guardrails, caching, conditional routing and much more in your AI apps.
Create a model with portkey_engine
- You can pass all the parameters supported by Portkey Chat completions here inside the
USINGclause.
Create Portkey Model
Learn more about the supported paramteres in Chat Completions here.

