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Documentation Index

Fetch the complete documentation index at: https://docs.portkey.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

MindsDB connects data sources and LLMs for AI automation. Portkey adds:
  • 1600+ LLMs — Access any provider through MindsDB
  • Observability — Track costs, latency, and usage
  • Reliability — Caching, routing, guardrails via Configs

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Prerequisites

  1. Install MindsDB via Docker or Docker Desktop
  2. Install Portkey dependencies per MindsDB instructions
  3. Get your Portkey API key

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Setup

1

Create AI Engine

CREATE ML_ENGINE portkey_engine
FROM portkey
USING
    portkey_api_key = 'PORTKEY_API_KEY',
    config = 'pc-your-config-id';
Use Configs to add guardrails, caching, conditional routing, and more.
2

Create Model

CREATE MODEL portkey_model
PREDICT answer
USING
    engine = 'portkey_engine',
    temperature = 0.2;
3

Query

SELECT question, answer
FROM portkey_model
WHERE question = 'Where is Stockholm located?';
Output:
+-----------------------------+--------------------------------------------------------------------------------+
| question                    | answer                                                                         |
+-----------------------------+--------------------------------------------------------------------------------+
| Where is Stockholm located? | Stockholm is the capital of Sweden, located on the south-central east coast... |
+-----------------------------+--------------------------------------------------------------------------------+

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Next Steps

MindsDB Use Cases

Explore MindsDB examples

Portkey Configs

Add routing, caching, guardrails
Last modified on January 28, 2026