Kognitos Meta
Overview of the Kognitos Meta book.
Overview
Kognitos Meta is an intelligent automation book that executes actions based on natural language prompts using Large Language Models (LLMs). This dynamic integration can generate and execute Python code to fulfill complex automation requests that go beyond standard book capabilities.
Prerequisites
1. Required Books
The following Book(s) need to be added to your agent so it can learn and understand the automation procedures defined within them:
Kognitos Meta
How to Add the Book(s)
Go to Books → All Books.
Search for name of the book and click on it.
Click on Install or Add Connection to add the book to your agent.
If adding a connection, you'll be prompted for connectivity details.
Connectivity
This section outlines the available methods for connecting to the Book, along with the required configuration details for each.
Connect using Gemini API Key, Credential, AWS Access Key ID, AWS Secret Access Key, AWS Region and AWS Bucket Name
Connects to an API using the provided API key.
Gemini API Key
The Gemini API key to be used for connecting to LLM
sensitive
Credential
The credentials to be used for connecting to the external API. This has to be a JSON String. If no credentials are required, fill in with '{}'.
sensitive
AWS Access Key ID
The AWS access key id to be used for connecting to the external API.
text
AWS Secret Access Key
The AWS secret access key to be used for connecting to the external API.
sensitive
AWS Region
The AWS region to be used for connecting to the external API.
text
AWS Bucket Name
The AWS bucket name to be used for connecting to the external API.
text
Configuration
The following table details all the available configuration options for this book.
cache prefix
The prefix to be used for the cache keys.
text
metabook
department id
The kognitos department id.
text
(no default)
llm model name
The LLM model name to be used for the code generation.
text
gemini/gemini-2.0-flash
Configuration can be set or retrieved as shown in the following examples:
the department's Kognitos Meta's cache prefix is metabook
the department's Kognitos Meta's llm model name is gemini/gemini-2.0-flash
Last updated
Was this helpful?