An AI-Data Mind is an LLM with the built-in power to answer data questions for Agents
Project description
Minds SDK
Installation
To install the SDK, use pip:
pip install minds-sdk
Getting Started
- Initialize the Client
To get started, you'll need to initialize the Client with your API key. If you're using a different server, you can also specify a custom base URL.
from minds.client import Client
# Default connection to Minds Cloud that uses 'https://mdb.ai' as the base URL
client = Client("YOUR_API_KEY")
# If you have self-hosted Minds Cloud instance, use your custom base URL
base_url = 'https://<custom_cloud>.mdb.ai/'
client = Client("YOUR_API_KEY", base_url)
- Creating a Data Source
You can connect to various databases, such as PostgreSQL, by configuring your data source. Use the DatabaseConfig to define the connection details for your data source.
from minds.datasources import DatabaseConfig
postgres_config = DatabaseConfig(
name='my_datasource',
description='<DESCRIPTION-OF-YOUR-DATA>',
engine='postgres',
connection_data={
'user': 'demo_user',
'password': 'demo_password',
'host': 'samples.mindsdb.com',
'port': 5432,
'database': 'demo',
'schema': 'demo_data'
},
tables=['<TABLE-1>', '<TABLE-2>']
)
- Creating a Mind
You can create a mind
and associate it with a data source.
# Create a mind with a data source
mind = client.minds.create(name='mind_name', datasources=[postgres_config])
# Alternatively, create a data source separately and add it to a mind later
datasource = client.datasources.create(postgres_config)
mind2 = client.minds.create(name='mind_name', datasources=[datasource])
You can also add a data source to an existing mind:
# Create a mind without a data source
mind3 = client.minds.create(name='mind_name')
# Add a data source to the mind
mind3.add_datasource(postgres_config) # Using the config
mind3.add_datasource(datasource) # Using the data source object
Managing Minds
You can create a mind or replace an existing one with the same name.
mind = client.minds.create(name='mind_name', replace=True, datasources=[postgres_config])
To update a mind, specify the new name and data sources. The provided data sources will replace the existing ones.
mind.update(
name='mind_name',
datasources=[postgres_config]
)
List Minds
You can list all the minds you’ve created.
print(client.minds.list())
Get a Mind by Name
You can fetch details of a mind by its name.
mind = client.minds.get('mind_name')
Remove a Mind
To delete a mind, use the following command:
client.minds.drop('mind_name')
Managing Data Sources
To view all data sources:
print(client.datasources.list())
Get a Data Source by Name
You can fetch details of a specific data source by its name.
datasource = client.datasources.get('my_datasource')
Remove a Data Source
To delete a data source, use the following command:
client.datasources.drop('my_datasource')
Note: The SDK currently does not support automatically removing a data source if it is no longer connected to any mind.
Other SDKs
Command Line Tools
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file minds_sdk-1.2.0.tar.gz
.
File metadata
- Download URL: minds_sdk-1.2.0.tar.gz
- Upload date:
- Size: 11.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.15
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 512b9ce81e378e6f272400a69a15cacc9a24800992f90f65b691443191495c11 |
|
MD5 | 922f348205a590b8eff0515d031548ff |
|
BLAKE2b-256 | acdbca740f7770e5012e22dc5798d8ffda3676bbf4e3e56a59bbbfbdbb948589 |