Send custom completions back to chat visitors
When a conversation starts in MagicBlocks, generate a completion in DeepSeek and send a tailored message directly back to the visitor.
See all MagicBlocks + DeepSeek integrations or talk to a human
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How Knit builds this workflow
The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.
MagicBlocks Explore MagicBlocks →
TriggersFires when a new chat or conversation begins in MagicBlocks.
Fires when MagicBlocks captures a lead during a conversation.
Fires when MagicBlocks escalates a conversation to a human.
Sends a message to a user through MagicBlocks.
Asks MagicBlocks a question against its knowledge base and returns the answer.
Uses MagicBlocks to summarize a chat transcript.
Opens a support ticket from an MagicBlocks conversation.
DeepSeek Explore DeepSeek →
TriggersFires when DeepSeek generates a response to a prompt.
Fires when a request to DeepSeek errors or times out.
Fires when a fine-tuning job in DeepSeek finishes.
Sends a prompt to DeepSeek and returns the model's response.
Uses DeepSeek to summarize a block of text.
Uses DeepSeek to classify or extract structured data from text.
More MagicBlocks + DeepSeek workflows
Extract lead details during chatbot conversations
When a new lead is captured in chat via MagicBlocks, automatically run the conversation text through DeepSeek to classify intent and extract key contact metadata.
See details
Alert support agents when model fine-tuning completes
When a fine-tune job completes in DeepSeek, automatically send a message through MagicBlocks to notify AI administrators that the updated model is ready.
See details
See all MagicBlocks + DeepSeek integrations → · Browse the full workflow library →
Common questions
Can Knit build “Send custom completions back to chat visitors” between MagicBlocks and DeepSeek?
Yes — describe it in the box above and Knit's Integrations Agent researches MagicBlocks and DeepSeek's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.
How long does it take to build?
Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.
How does connecting MagicBlocks to DeepSeek expand chatbot capabilities?
Connecting MagicBlocks to DeepSeek allows your chatbot to tap into advanced AI models for deeper context, sentiment classification, and sophisticated text generation beyond standard scripted responses.
Can MagicBlocks notify operators if a backend model process encounters an issue in DeepSeek?
Yes, when a model run fails in DeepSeek, you can send an automated message or alert through MagicBlocks to notify system administrators.