Connect Tess and AI/ML API to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Tess
Choose an Action
Automatically do this!
Create Chat Completion
Enable Integrations or automations with these events of Tess and AI/ML API
Enable Integrations or automations with these events of Tess and AI/ML API
Actions
Search Agents Details
Searches for agents and returns a list of matching agents with their key details.
Execute Agent
Runs the Tess assistant and returns the content it creates.
Create Chat Completion
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
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Frequently Asked Questions
To start, connect both your Tess and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Tess triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Tess data is recorded in AI/ML API. This includes choosing which data fields go into which fields of AI/ML API, setting up custom formats, and filtering out unwanted information.
The data sync between Tess and AI/ML API 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 Tess and AI/ML API. 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 Tess
Tess is a versatile platform designed to enhance team collaboration and communication. It offers a suite of tools to streamline project management, facilitate seamless communication, and boost productivity across teams.
Learn MoreAbout AI/ML API
AI/ML API provides advanced artificial intelligence and machine learning capabilities to developers and businesses, enabling them to integrate intelligent features into their applications. With a wide range of AI models and tools, users can enhance their software with capabilities such as natural language processing, image recognition, predictive analytics, and more.
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