Claude

Use Claude models in workflows

Actions

Run Claude Agent Runs a Claude Managed Agent in Anthropic’s managed environment and waits until the session is idle or terminated.

Text Prompt Generate a response using Anthropic's Claude models via the Messages API

Instructions

To get new Claude API key, go to platform.claude.com.

Run Claude Agent

The Run Claude Agent component uses Claude Managed Agents to start a session with a configured agent and environment, sends your task as a user message, and waits until the session reaches a terminal state (idle or terminated) by polling. Log streaming is not used.

Prerequisites

A Claude API key on the integration.
An agent and environment already created in the Anthropic API (or Console). This step references them by ID.

Configuration

Agent ID and optional Version: the Managed Agent to run (latest, or a pinned version if Version is set).
Environment ID: The environment the session runs in.
Prompt: The user message (task) sent to the agent.
Vault IDs (optional): For MCP tools that need vault-backed credentials.

Output

Emits a finished payload with session status, session id, and the final agent message when available so downstream steps can branch or consume the result. For failure cases the status is still emitted when the session is terminated or the step times out.

Example Output

{
  "data": {
    "lastMessage": "Finished the requested task.",
    "sessionId": "sess_01ExampleManagedSession",
    "status": "idle"
  },
  "timestamp": "2026-04-26T12:00:00Z",
  "type": "claude.runAgent.finished"
}

Text Prompt

The Text Prompt component uses Anthropic’s Claude models to generate text responses.

Use Cases

Summarization: Generate summaries of incidents or deployments.
Code Analysis: specific code review or PR comments.
Content Generation: Create documentation or drafting communications.

Configuration

Model: The Claude model to use (e.g., claude-3-5-sonnet-latest).
Prompt: The main user message/instruction.
System Message: (Optional) Context to define the assistant’s behavior or persona.
Max Tokens: (Optional) Limit the length of the generated response.
Temperature: (Optional) Control randomness (0.0 to 1.0).

Output

Returns a payload containing:

text: The content generated by Claude.
usage: Input and output token counts.
stopReason: Why the generation ended (e.g., “end_turn”, “max_tokens”).
model: The specific model version used.

Notes

Requires a valid Claude API key configured in integration
Response quality and speed depend on the selected model
Token usage is tracked and may incur costs based on your Claude plan

Example Output

{
  "data": {
    "id": "msg_01X9JGt5...123456",
    "model": "claude-3-5-sonnet-latest",
    "response": {
      "content": [
        {
          "text": "Here is the summary of the deployment logs you requested...",
          "type": "text"
        }
      ],
      "id": "msg_01X9JGt5...123456",
      "model": "claude-3-5-sonnet-latest",
      "role": "assistant",
      "stop_reason": "end_turn",
      "type": "message",
      "usage": {
        "input_tokens": 45,
        "output_tokens": 120
      }
    },
    "stopReason": "end_turn",
    "text": "Here is the summary of the deployment logs you requested...",
    "usage": {
      "input_tokens": 45,
      "output_tokens": 120
    }
  },
  "timestamp": "2026-02-06T12:00:00Z",
  "type": "claude.message"
}