LLM Integration
LLM Integration
Seamlessly integrate powerful language models from leading providers into your Stubber applications for enhanced AI interactions and automation
Stubber's LLM Integration allows you to harness the power of large language models from multiple providers (including OpenAI, Anthropic, Google, Fireworks, and more) directly within your automation workflows and customer
interactions — without needing to manage complex prompt engineering, conversation history, or API logistics.
Our integration manages all the complexities of working with LLMs, from storing conversation history and handling
context windows to adding required system messages and managing multimedia inputs.
Key Benefits
Zero API Management — no need to obtain, store, or manage API keys from LLM providers
Complete Conversation Management — we handle message history, threading, and context window optimization for you
Provider Flexibility — switch between providers or use multiple models without changing your processes
Reduced Development Time — skip the complex engineering required for proper LLM integration
Enhanced Capabilities — add voice and image understanding to text-based conversational flows
Process Automation — let AI determine when and how to execute process actions based on user needs
How It Works. Stubber's LLM integration acts as an intelligent middleware
layer between your processes and various LLM providers.
Configure Provider Access
Choose which LLM providers and models you want to use in your Stubber process
Design Conversations
Set up system prompts, available functions, and conversation parameters
Engage Users
Let users interact with the LLM through text, voice, or images within your processes and omni-channel communication systems
Execute Functions
When the LLM decides to call a function, Stubber executes the specified action in your process
Manage Context
Stubber automatically handles conversation history and context management for each unique conversation
Key Capabilities
Multi-Modal Conversations
Handle text, voice notes, and images within the same conversation thread, automatically managing conversational context
Function/Tool Calling
Enable LLMs to trigger specific actions in your Stubber processes and receive results to continue conversations
Conversation Management
Automatic handling of message history, ensuring context is preserved throughout interactions
Multi-Provider Support
Connect to OpenAI, Anthropic, Google, Fireworks, and more through a unified interface
System Prompt Management
Easily configure and manage system prompts that control LLM behavior and knowledge
No API Management
Access powerful LLMs without managing individual API integrations or provider accounts
Example Use Cases
Create intelligent customer service agents that understand user intent and trigger appropriate actions
Develop guided process assistants that walk users through complex forms and workflows
Build sales advisors that can recommend products based on customer descriptions and images
Develop knowledge base assistants that answer questions and retrieve relevant information
Deploy monitoring agents that can interpret complex system alerts and recommend appropriate actions
Create website chat support agents that help visitors navigate products and services