Cohere

Generate text, create embeddings, classify content, and rerank results with Cohere.

AI and MLAPI key2 actionsAll integrations

On this page

Connect
Call it from a workflow
Actions (2)
generate_text
custom_api_call
Details

Connect

Auth type: API key (secret_text). Paste the API key (or token) from the provider's settings into the connect dialog. It is encrypted at rest and only decrypted on the server when an action runs.

In the editor: Backend panel, Integrations tab, then Connect. This connects it for the project.
For every project in a workspace: Workspace settings, Integrations.
Owners and admins choose which integrations members may connect in the admin panel (Integrations tab), and can attach their own OAuth app there.

Call it from a workflow

Pass the action name and its input. The call resolves with { success, output, error? }; a missing connection resolves with success false and the reason. See ctx.integrations.invoke and ctx.integrations.call.

Native workflow

// .workflow.js (native ctx)
export async function run(ctx) {
  const res = await ctx.integrations.invoke("cohere", "generate_text", {
    "prompt": "<prompt>",
    "model": "command-a-03-2025"
  });
  if (!res.success) throw new Error(res.error);
  ctx.log.info("Cohere answered", { output: res.output });
}

defineWorkflow module

// defineWorkflow module (@app/sdk ctx)
import { defineWorkflow } from "@app/sdk";

export default defineWorkflow({
  id: "cohere-generate-text",
  name: "Cohere: Generate Text",
  description: "Calls Cohere when a row is created.",
  trigger: { type: "entity_event", entity: "tickets", event: "created" },
  async run(ctx, event) {
    const res = await ctx.integrations.call("cohere", {
      "action": "generate_text",
      "prompt": "<prompt>",
      "model": "command-a-03-2025"
    }) as { success: boolean; error?: string };
    if (!res.success) throw new Error(res.error);
  },
});

From an app (connector proxy)

curl -X POST "$APP_ORIGIN/__appbricx/connector-proxy/cohere/generate_text" \
  -H "Authorization: Bearer $APP_KEY" \
  -H "content-type: application/json" \
  -d '{"props":{"prompt":"<prompt>","model":"command-a-03-2025"}}'

Actions

generate_textin catalog

Generate Text. Generate a text response using Cohere AI Chat API

Input	Type	Description
`prompt`required	long text	The user message to send to the model
`model`required	one of "command-a-03-2025" \| "command-r-plus-08-2024" \| "command-r-08-2024" \| "command-r7b-12-2024"	The Cohere model to use for generation
`temperature`optional	number	Controls randomness (0.0 = deterministic, 1.0 = maximum randomness). Default: 0.3
`maxTokens`optional	number	Maximum number of tokens to generate. Leave empty for model default.

custom_api_call

Custom API Call. Make a custom API call to a specific endpoint

Input	Type	Description
`url`required	object (depends on other props)	url
`method`required	one of "GET" \| "POST" \| "PATCH" \| "PUT" \| "DELETE" \| "HEAD"	Method
`headers`required	object	Authorization headers are injected automatically from your connection.
`queryParams`required	object	Query Parameters
`body_type`optional	one of "none" \| "json" \| "form_data" \| "raw"	Body Type
`body`optional	object (depends on other props)	Body
`response_is_binary`optional	boolean	Enable for files like PDFs, images, etc.
`failsafe`optional	boolean	No Error on Failure
`timeout`optional	number	Timeout (in seconds)
`followRedirects`optional	boolean	Follow redirects

Details

Id: cohere
Category: AI and ML
Tags: ai, cohere, llm, embeddings, classification, rag
Package: @activepieces/piece-cohere@0.0.1
Tier: Built in