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ActionDeepSeekUpdated June 2026

How do I call DeepSeek for chat completion?

Short answer: You can deepseek chat completion in DeepSeek by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the DeepSeek DeepSeek Chat Completion action to a workflow, map its 7 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.

DeepSeek Chat Completion in DeepSeek — start free All 3 DeepSeek actions
DeepSeek Chat Completion in DeepSeek — start free
Inputs

The fields this action accepts.

Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.

FieldTypeRequiredDescription
Model
model
optionsRequiredWhich model to use
User Message
message
stringRequiredUser message to send to the model
System Prompt
system_prompt
stringOptionalOptional system instructions that shape the model's behavior
Temperature
temperature
stringOptionalSampling temperature (0–2). Higher = more random.
Max Tokens
max_tokens
stringOptionalMaximum tokens to generate in the response
Top P
top_p
stringOptionalNucleus sampling threshold (0–1)
Response Format
response_format
optionsOptionalForce JSON output (model must support JSON mode)
Sample request
{
  "model": "{{trigger.model}}",
  "message": "e.g. Summarize this article in 3 bullets",
  "system_prompt": "e.g. You are a helpful assistant.",
  "temperature": "0.7",
  "max_tokens": "1024"
}
Returns
{
  "id": "chatcmpl-abc123",
  "model": "deepseek-chat",
  "usage": {
    "total_tokens": 60,
    "prompt_tokens": 10,
    "completion_tokens": 50
  },
  "choices": [
    {
      "message": {
        "role": "assistant",
        "content": "Sample response"
      },
      "finish_reason": "stop"
    }
  ]
}

Use these fields in downstream nodes for routing, logging, or error handling.

Triggered by

Apps that pair well as the trigger for DeepSeek Chat Completion.

Any of these apps can fire this action as part of a workflow.

Gmail → DeepSeek
1 Gmail triggers
Slack → DeepSeek
13 Slack triggers
Google Sheets → DeepSeek
2 Google Sheets triggers
HubSpot → DeepSeek
18 HubSpot triggers
FAQ

Questions about DeepSeek Chat Completion.

What does the DeepSeek Chat Completion action do in DeepSeek?
Runs chat completion against deepseek-chat (V3-based fast general-purpose) or deepseek-reasoner (R1-based with visible chain-of-thought). Reasoner exposes reasoning_content separately from content — useful for debugging complex multi-step reasoning.
What inputs does DeepSeek Chat Completion require?
Required: Model, User Message. Every input accepts a static value or a variable from any upstream node in your workflow.
Can I use dynamic inputs from earlier workflow nodes?
Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.
What happens if DeepSeek returns an error?
The workflow pauses on the failed node, the error message is captured in the run log, and you can retry the run with one click. Auto-retry policies are configurable per workflow with exponential backoff up to 5 attempts.
Does DeepSeek Chat Completion support batch operations?
Yes. Run DeepSeek Chat Completion inside a Loop node to process arrays. TinyCommand handles DeepSeek's rate limits automatically so you don't have to throttle manually.
More actions

Other DeepSeek actions.

Action
Get DeepSeek Credit Balance
Returns the remaining API credit balance. Useful for pre-flight budget control on high-volume LLM workflows where you want to avoid mid-run credit exhaustion.
Action
List DeepSeek Models
Returns the current DeepSeek model catalog (deepseek-chat, deepseek-reasoner, and any newer variants). Pin specific model versions for production workflow reproducibility.
DeepSeek Chat Completion in DeepSeek — start free