Integrate the Anthropic (Claude) API with the Python API

Setup the Anthropic (Claude) API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Anthropic (Claude) and Python remarkably fast. Free for developers.

Popular Anthropic (Claude) and Python Actions#

Chat with the Anthropic (Claude) API

The Chat API. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Overview of Anthropic (Claude)#

The Anthropic (Claude) API offers a conversational AI that can be leveraged for a variety of applications, ranging from answering questions to generating content or providing customer support. In Pipedream, you can create powerful workflows that utilize the capabilities of Claude to automate responses, analyze text, or enhance data with AI-generated insights. Pipedream's serverless platform simplifies integrating Claude into your processes with other apps and services for seamless automation.

Connect Anthropic (Claude)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    anthropic: {
      type: "app",
      app: "anthropic",
    }
  },
  async run({steps, $}) {
    const data = {
      "prompt": `Human: Tell me a haiku about trees. Assistant:`,
      "model": `claude-v1`,
      "max_tokens_to_sample": 300,
    }
    return await axios($, {
      method: "post",
      url: `https://api.anthropic.com/v1/complete`,
      headers: {
        "x-api-key": `${this.anthropic.$auth.api_key}`,
        "Content-Type": `application/json`,
        "anthropic-version": `2023-06-01`,
      },
      data,
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}