Connect Letta and BigML to Build Intelligent Automations
Choose a Trigger
When this happens...
New Agents
New Folders
New Messages
Choose an Action
Automatically do this!
Create Anomaly Score
Create Centroid
Create Prediction
Find Resource
List Sources
List Datasets
List Sample
List Model
List Time Series
List Evaluations
List OptiMLs
List Clusters
List Anomaly Detectors
List Predictions
List Batch Predictions
List Forecasts
List Anomaly Scores
List Batch Anomaly Scores
List Topic Distributions
List Batch Topic Distributions
List Projections
List Batch Projections
List Scripts
List Executions
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Agents
Show agents created since a specified time, newest first.
New Folders
Show folders created within a recent time window (default 15 minutes).
New Messages
runs when new message arrives
New Resource
Triggers when a new resource is created
Do thisActions
Action is the task that follows automatically within your Letta integrations.
Create Agent
Create a new Letta agent with a name, model, type, tags, and optional tool and context settings.
Send message to Letta agent
Send a message to a Letta agent so they can read and reply.
Save memory to Letta
Store text as a Letta agent's long-term memory and optionally add tags for organization.
Create Folder
Create a new folder in Letta with a name, optional description, and usage instructions.
Create Archive
Create a new archive by providing a unique name and optional description to store conversations and related content.
Create identity
Create a person, organization, or other identity in Letta for tracking and management.
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Frequently Asked Questions
To start, connect both your Letta and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Letta triggers actions in BigML (or vice versa).
Absolutely. You can customize how Letta data is recorded in BigML. This includes choosing which data fields go into which fields of BigML, setting up custom formats, and filtering out unwanted information.
The data sync between Letta and BigML typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Letta and BigML. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Letta
Letta is a comprehensive platform designed to streamline communication and enhance productivity for teams and businesses. With a focus on seamless collaboration, Letta offers tools for efficient messaging, file sharing, and project management, making it an ideal choice for organizations looking to improve their workflow and connectivity.
Learn MoreAbout BigML
BigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.
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