Cohere

Making NLP part of every developer's toolkit. Harness the power of language understanding. Join the developers and businesses who are using Cohere to generate, categorize and organize text at a scale that was previously unimaginable.

Integrate the Cohere API with the Python API

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

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Chat with the Cohere API

Generates a text response to a user message. 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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Choose Best Completion with the Cohere API

This action chooses the best completion conditioned on a given examples. See the docs here

 
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Classify Text with the Cohere API

This action makes a prediction about which label fits the specified text inputs best. See the documentation

 
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Generate Text with the Cohere API

This action generates realistic text conditioned on a given input. See the docs here

 
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Overview of Cohere

The Cohere API enables the development of apps with advanced natural language understanding capabilities. Utilizing machine learning, it can help with tasks like text generation, summarization, sentiment analysis, and more. On Pipedream, you can seamlessly integrate Cohere's features into serverless workflows, triggering actions based on text input, processing large volumes of data, or even enhancing chatbots with more human-like responses.

Connect Cohere

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cohere_platform: {
      type: "app",
      app: "cohere_platform",
    }
  },
  async run({steps, $}) {
    const data = {
      "text": `Tokenize this!`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.cohere.ai/small/tokenize`,
      headers: {
        Authorization: `Bearer ${this.cohere_platform.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo