Custom GPT Models
Explore Autom Mate's ability to integrate custom GPT models for automating AI-driven responses with configurable conversation threads and secure API connections.
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Explore Autom Mate's ability to integrate custom GPT models for automating AI-driven responses with configurable conversation threads and secure API connections.
Last updated
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To automate AI-driven responses using custom GPT models in Autom Mate, implement the following actions:
Thread Scope: Define the conversation thread by setting a Custom Thread ID or generating a new one.
Message: Send a message to the GPT model by specifying the input prompt.
Run: Execute the action to receive and process the GPT model's response.
Proper sequencing and configuration of these actions enable seamless integration of AI-driven responses into your workflows.
In a workflow designed to handle customer inquiries, you can use the "Message" action to send the customer's question to the GPT model and the "Run" action to process and retrieve the AI-generated response, which can then be forwarded to the customer.
For comprehensive guidance, refer to the section.
To set up credentials for integrating custom GPT models with Autom Mate, follow these steps:
Navigate to the "Vault" section under "Management" in Autom Mate.
Click on "New App Credentials" and select "GPT" from the list of applications.
Choose "API-KEY" as the Authentication Type.
Enter your OpenAI API Key in the designated field.
Click "Connect and Create" to complete the process.
If you're integrating a custom-trained GPT model to automate content generation tasks, setting up the API key as described ensures secure and authenticated communication between Autom Mate and your GPT model.
Detailed instructions are available in the section.
To manage conversation threads effectively, utilize the "Thread Scope" action within Autom Mate. This action allows you to define whether a conversation thread is static or dynamic by setting a Custom Thread ID or generating a new Thread ID. Proper configuration ensures session continuity and maintains the context of interactions with your GPT model.
If you're developing a customer support chatbot that needs to maintain context across multiple user interactions, setting a static Custom Thread ID ensures that the conversation history is preserved, providing more coherent and contextually relevant responses.
For detailed guidance on configuring the "Thread Scope" action, refer to the section.
