Integrate the Tess AI by Pareto API with the Python API

Setup the Tess AI by Pareto API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Tess AI by Pareto and Python remarkably fast. Free for developers.

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Popular Tess AI by Pareto and Python Actions#

Execute AI Agent with the Tess AI by Pareto API

Executes an AI Agent (template) with the given input. 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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Get Agent Execution Response with the Tess AI by Pareto API

Retrieves the result of a previously executed AI Agent (template). See the documentation

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Search AI Agents with the Tess AI by Pareto API

Retrieve AI Agents (templates) that match the specified criteria. See the documentation

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Connect Tess AI by Pareto#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tess_ai_by_pareto: {
      type: "app",
      app: "tess_ai_by_pareto",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "GET",
      url: `https://tess.pareto.io/api/templates`,
      headers: {
        Authorization: `Bearer ${this.tess_ai_by_pareto.$auth.api_token}`,
      },
      params: {
        page: `1`,
        per_page: `15`,
      }
    })
  },
})

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}}

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