Claude

Generate text and have conversations using Anthropic's Claude models.

AI and MLAPI key3 actionsAll integrations

On this page

Connect
Call it from a workflow
Actions (3)
ask_claude
custom_api_call
extract-structured-data
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("claude", "ask_claude", {
    "model": "claude-opus-4-5-20251101",
    "prompt": "<question>"
  });
  if (!res.success) throw new Error(res.error);
  ctx.log.info("Claude answered", { output: res.output });
}

defineWorkflow module

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

export default defineWorkflow({
  id: "claude-ask-claude",
  name: "Claude: Ask Claude",
  description: "Calls Claude when a row is created.",
  trigger: { type: "entity_event", entity: "tickets", event: "created" },
  async run(ctx, event) {
    const res = await ctx.integrations.call("claude", {
      "action": "ask_claude",
      "model": "claude-opus-4-5-20251101",
      "prompt": "<question>"
    }) 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/claude/ask_claude" \
  -H "Authorization: Bearer $APP_KEY" \
  -H "content-type: application/json" \
  -d '{"props":{"model":"claude-opus-4-5-20251101","prompt":"<question>"}}'

Actions

ask_claudein catalog

Ask Claude. Ask Claude anything you want!

Input	Type	Description
`model`required	one of "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-1-20250805" \| "claude-sonnet-4-20250514" \| "claude-3-haiku-20240307" \| "claude-3-5-haiku-latest"	The model which will generate the completion. Some models are suitable for natural language tasks, others specialize in code.
`systemPrompt`optional	long text	System Prompt
`temperature`optional	number	Controls randomness: Lowering results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive.
`maxTokens`optional	number	The maximum number of tokens to generate. Requests can use up to 2,048 or 4,096 tokens shared between prompt and completion, don't set the value to maximum and leave some tokens for the input. The ex…
`prompt`required	long text	Question
`image`optional	file	URL of image to be used as input for the model.
`roles`optional	JSON	Array of roles to specify more accurate response.Please check [guide to Input Messages](https://docs.anthropic.com/en/api/messages-examples#vision).
`thinkingMode`optional	boolean	Uses claude 3.7 sonnet enhanced reasoning capabilities for complex tasks.
`thinkingModeParams`optional	object (depends on other props)	thinkingModeParams

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

extract-structured-data

Extract Structured Data. Extract structured data from provided text,image or PDF.

Input	Type	Description
`model`required	one of "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-1-20250805" \| "claude-sonnet-4-20250514" \| "claude-3-haiku-20240307" \| "claude-3-5-haiku-latest"	The model which will generate the completion. Some models are suitable for natural language tasks, others specialize in code.
`text`optional	long text	Text to extract structured data from.
`image`optional	file	Image or PDF to extract structured data from.
`prompt`optional	long text	Prompt to guide the AI.
`mode`required	one of "simple" \| "advanced"	For complex schema, you can use advanced mode.
`schema`required	object (depends on other props)	Data Definition
`maxTokens`optional	number	The maximum number of tokens to generate. Requests can use up to 2,048 or 4,096 tokens shared between prompt and completion, don't set the value to maximum and leave some tokens for the input. The ex…

Details

Id: claude
Category: AI and ML
Tags: ai, anthropic, claude, llm, text-generation
Package: @activepieces/piece-claude@0.4.4
Tier: Built in