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ActionCohereUpdated June 2026

How do I send a message to Cohere's Command model?

Short answer: You can chat in Cohere by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Cohere Chat action to a workflow, map its 4 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.

Use this actionAll 4 Cohere actions
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
optionsRequiredModel. Options: Command R+, Command R, Command, Command Light
Message
message
stringRequiredMessage. Example: Summarize this quarterly report...
System Preamble
preamble
stringOptionalInstructions for the model
Temperature
temperature
stringOptionalTemperature. Example: 0.3
Sample request
{
  "model": "{{trigger.model}}",
  "message": "e.g. Summarize this quarterly report...",
  "preamble": "{{trigger.preamble}}",
  "temperature": "e.g. 0.3"
}
Returns
{
  "id": "abc123",
  "usage": {
    "input_tokens": 50,
    "output_tokens": 200
  },
  "message": {
    "role": "assistant",
    "content": "Based on the report..."
  },
  "finish_reason": "COMPLETE"
}

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

Triggered by

Apps that pair well as the trigger for Chat.

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

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

Questions about Chat.

What does the Chat action do in Cohere?
Sends a message and gets a response from one of Cohere's Command models. Cohere is known for enterprise-grade chat with strong RAG and grounded-answer features.
What inputs does Chat require?
Required: Model, 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 Cohere 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 Chat support batch operations?
Yes. Run Chat inside a Loop node to process arrays. TinyCommand handles Cohere's rate limits automatically so you don't have to throttle manually.
More actions

Other Cohere actions.

Action
Chat with Tools
Chats with Cohere Command models with tool/function calling enabled. Use to let the model fetch data, run actions, or build agents within Cohere's ecosystem.
Action
Create Embeddings
Generates vector embeddings for text using Cohere's embed-v3 model. Supports input_type (search_document, search_query, classification, clustering), which materially improves retrieval quality, so set it correctly.
Action
Rerank
Reranks a list of documents by relevance to a query using Cohere's Rerank model. Essential last-mile step in any serious RAG pipeline; meaningfully lifts precision over vector-only retrieval.