Generate Text with Cohere API on New Control Added from Drata API

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New Control Added from the Drata API

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Generate Text with the Cohere API

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Getting Started#

This integration creates a workflow with a Drata trigger and Cohere action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Control Added trigger
1. Connect your Drata account
2. Configure timer
Configure the Generate Text action
1. Connect your Cohere account
2. Configure Prompt
3. Optional- Select a Model
4. Optional- Configure Number of generations
5. Optional- Configure Max Tokens
6. Optional- Configure Preset
7. Optional- Configure Temperature
8. Optional- Configure K
9. Optional- Configure P
10. Optional- Configure Frequency Penalty
11. Optional- Configure End Sequences
12. Optional- Configure Stop Sequences
13. Optional- Select a Return Likelihoods
14. Optional- Configure Logit Bias
15. Optional- Select a Truncate
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Control Added on Drata

Description:Emit a new event for every new control. [See the documentation](https://developers.drata.com/docs/openapi/reference/operation/GRCPublicController_getControls/).

Version:0.0.3

Key:drata-new-control-added

View on GitHub

Drata Overview#

Drata is a compliance automation platform. Drata’s platform is built by compliance and security experts so you don’t have to be one. With 75+ native integrations, you can easily connect your tech stack and automate evidence collection and testing.

Pipedream customers get 25% off Drata, with implementation fees waived. Visit https://drata.com/partner/pipedream for more information.

Trigger Code#

import drata from "../../drata.app.mjs";
import constants from "../../common/constants.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

const docsLink = "https://developers.drata.com/docs/openapi/reference/operation/GRCPublicController_getControls/";

export default {
  key: "drata-new-control-added",
  name: "New Control Added",
  description: `Emit a new event for every new control. [See the documentation](${docsLink}).`,
  type: "source",
  version: "0.0.3",
  dedupe: "unique",
  props: {
    drata,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  hooks: {
    async deploy() {
      const response = await this.drata.listControls({
        paginate: true,
        // this endpoint does not support custom sorting. It sorts by name
        params: {
          limit: constants.DEPLOY_LIMIT,
        },
      });

      this._setVisitedIds(response.data.map((control) => control.id));
      for (const control of response.data.slice(-constants.DEPLOY_LIMIT)) {
        this.$emit(control, {
          id: control.id,
          summary: `Historical control added event: ${control.name}`,
          ts: new Date(),
        });
      }
    },
  },
  methods: {
    _getVisitedIds() {
      return new Set(this.db.get("visitedIds"));
    },
    _setVisitedIds(visitedIds) {
      this.db.set("visitedIds", Array.from(visitedIds));
    },
  },
  async run() {
    const visitedIds = this._getVisitedIds();

    const response = await this.drata.listControls({
      paginate: true,
      params: {
        limit: constants.PAGINATION_LIMIT,
      },
    });

    for (const control of response.data) {
      if (!visitedIds.has(control.id)) {
        visitedIds.add(control.id);
        this.$emit(control, {
          id: control.id,
          summary: `New control added: ${control.name}`,
          ts: new Date(),
        });
      }
    }

    this._setVisitedIds(visitedIds);
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Drata	`drata`	`app`	This component uses the Drata app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

Drata uses API keys for authentication. When you connect your Drata account, Pipedream securely stores the keys so you can easily authenticate to Drata APIs in both code and no-code steps.

Make sure you're logged into the Drata UI, then see these docs to create a Drata API key. Enter it below.

About Drata#

Drata automates your compliance journey from start to audit-ready and beyond and provides support from the security and compliance experts who built it.

Action#

Generate Text on Cohere

Description:This action generates realistic text conditioned on a given input. [See the docs here](https://docs.cohere.ai/reference/generate)

Version:0.0.2

Key:cohere_platform-generate-text

View on GitHub

Cohere Overview#

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.

Action Code#

import common from "../common/base.mjs";

export default {
  ...common,
  key: "cohere_platform-generate-text",
  name: "Generate Text",
  version: "0.0.2",
  description: "This action generates realistic text conditioned on a given input. [See the docs here](https://docs.cohere.ai/reference/generate)",
  type: "action",
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Cohere	`coherePlatform`	`app`	This component uses the Cohere app.
Prompt	`prompt`	`string`	Represents the prompt or text to be completed. Trailing whitespaces will be trimmed. If your use case requires trailing whitespaces, please contact ivan@cohere.ai.
Model	`model`	`string`	Select a value from the drop down menu:`mediumxlarge`
Number of generations	`numGenerations`	`integer`	Defaults to 1, min value of 1, max value of 5. Denotes the maximum number of generations that will be returned.
Max Tokens	`maxTokens`	`integer`	Denotes the number of tokens to predict per generation, defaults to 20. See BPE Tokens for more details. Can only be set to `0` if `return_likelihoods` is set to `ALL` to get the likelihood of the prompt.
Preset	`preset`	`string`	The ID of a custom playground preset. You can create presets in the playground. If you use a preset, all other parameters become optional, and any included parameters will override the preset's parameters.
Temperature	`temperature`	`string`	Defaults to `0.75`, min value of `0.0`, max value of `5.0`. A non-negative float that tunes the degree of randomness in generation. Lower temperatures mean less random generations. See Temperature for more details.
K	`k`	`integer`	Defaults to `0`(disabled), which is the minimum. Maximum value is `500`. Ensures only the top `k` most likely tokens are considered for generation at each step.
P	`p`	`string`	Defaults to `0.75`. Set to `1.0` or `0` to disable. If set to a probability `0.0 < p < 1.0`, it ensures that only the most likely tokens, with total probability mass of `p`, are considered for generation at each step. If both `k` and `p` are enabled, `p` acts after `k`.
Frequency Penalty	`frequencyPenalty`	`string`	Defaults to `0.0`, min value of `0.0`, max value of `1.0`. Can be used to reduce repetitiveness of generated tokens. Similar to `frequency_penalty`, except that this penalty is applied equally to all tokens that have already appeared, regardless of their exact frequencies.
End Sequences	`endSequences`	`string[]`	The generated text will be cut at the beginning of the earliest occurence of an end sequence. The sequence will be excluded from the text.
Stop Sequences	`stopSequences`	`string[]`	The generated text will be cut at the end of the earliest occurence of a stop sequence. The sequence will be included the text.
Return Likelihoods	`returnLikelihoods`	`string`	Select a value from the drop down menu:`GENERATIONALLNONE`
Logit Bias	`logitBias`	`object`	Used to prevent the model from generating unwanted tokens or to incentivize it to include desired tokens. The format is `{token_id: bias}` where bias is a float between `-10` and `10`. Tokens can be obtained from text using Tokenize. For example, if the value `{'11': -10}` is provided, the model will be very unlikely to include the token 11 (`" "`, the newline character) anywhere in the generated text. In contrast `{'11': 10}` will result in generations that nearly only contain that token. Values between -10 and 10 will proportionally affect the likelihood of the token appearing in the generated text. Note: logit bias may not be supported for all custom models.
Truncate	`truncate`	`string`	Select a value from the drop down menu:`NONESTARTEND`

Generate Text with Cohere API on New Control Added from Drata API

Pipedream makes it easy to connect APIs for Cohere, Drata and 2,400+ other apps remarkably fast.

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

Developers ♥ Pipedream

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