LLM DeepSeek

LLM DeepSeek by FlowHunt lets you access and customize top AI models like DeepSeek R1 for text and image generation in your chatbots and AI tools, all from a single dashboard.

AI DeepSeek LLM Chatbot

How the LLM DeepSeek component works

What Is The LLM DeepSeek Component?

The LLM DeepSeek component connects the DeepSeek models to your Flow. While the Generators and Agents are where the actual magic happens, LLM components allow you to swap and control the model used.

The LLM DeepSeek component and its settings

Remember that connecting an LLM Component is optional. All components that use an LLM come with ChatGPT-4o as the default. The LLM components allow you to change the model and control model settings.

LLM Gemini Component Settings

Max Tokens

Tokens represent the individual units of text the model processes and generates. Token usage varies with models, and a single token can be anything from words or subwords to a single character. Models are usually priced in millions of tokens.

The max tokens setting limits the total number of tokens that can be processed in a single interaction or request, ensuring the responses are generated within reasonable bounds. The default limit is 4,000 tokens, the optimal size for summarizing documents and several sources to generate an answer.

Temperature

Temperature controls the variability of answers, ranging from 0 to 1.

A temperature of 0.1 will make the responses very to the point but potentially repetitive and deficient.

A high temperature of 1 allows for maximum creativity in answers but creates the risk of irrelevant or even hallucinatory responses.

For example, the recommended temperature for a customer service bot is between 0.2 and 0.5. This level should keep the answers relevant and to the script while allowing for a natural response variation.

Model

This is the model picker. Here, you’ll find all the supported DeepSeek models. We support all the latest Gemini models:

DeepSeek R1: The Chinese lightweight open source model that took the world by storm in early 2025. It is currently the fastest and best DeepSeek model that effortlessly outperforms OpenAI’s o1 model.

How To Add The LLM DeepSeek To Your Flow

You’ll notice that all LLM components only have an output handle. Input doesn’t pass through the component, as it only represents the model, while the actual generation happens in AI Agents and Generators.

The LLM handle is always purple. The LLM input handle is found on any component that uses AI to generate text or process data. You can see the options by clicking the handle:

The LLM DeepSeek component handle and connection options

This allows you to create all sorts of tools. Let’s see the component in action. Here’s a simple AI Agent chatbot Flow using DeepSeek R1 to generate responses. You can think of it as a basic DeepSeek chatbot.

This simple Chatbot Flow includes:

Chat input: Represents the message a user sends in chat.
Chat history: Ensures the chatbot can remember and factor in past responses.
Chat output: Represents the chatbot’s final response.
AI Agent: An autonomous AI agent that generates responses.
LLM DeepSeek: The connection to DeepSeek generation models.

A simple chatbot Flow using the LLM DeepSeek for responses

Frequently asked questions

LLM DeepSeek is a component in FlowHunt that allows you to connect and control DeepSeek AI models for text and image generation, enabling powerful chatbots and automated flows.

FlowHunt supports all the latest DeepSeek models, including DeepSeek R1, known for its speed and performance, especially compared to other leading AI models.

You can adjust max tokens for response length and temperature for response creativity, as well as swap between available DeepSeek models directly in your FlowHunt dashboard.

No, connecting an LLM component is optional. By default, FlowHunt uses ChatGPT-4o, but adding LLM DeepSeek lets you swap and control which AI model powers your flows.