Generate Text with Mistral AI API on New Download Counts from npm API

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New Download Counts from the npm API

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Generate Text with the Mistral AI API

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Getting Started#

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

Select this integration
Configure the New Download Counts trigger
1. Connect your npm account
2. Configure timer
3. Select a Period
4. Optional- Configure Package
Configure the Generate Text action
1. Connect your Mistral AI account
2. Configure Message
3. Select a Model ID
4. Optional- Configure Temperature
5. Optional- Configure Top P
6. Optional- Configure Max Tokens
7. Optional- Configure Random Seed
8. Optional- Configure N
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 Download Counts on npm

Description:Emit new event with the latest count of downloads for an npm package. [See the documentation](https://github.com/npm/registry/blob/main/docs/download-counts.md).

Version:0.1.0

Key:npm-download-counts

View on GitHub

Trigger Code#

import app from "../../npm.app.mjs";

export default {
  key: "npm-download-counts",
  name: "New Download Counts",
  description: "Emit new event with the latest count of downloads for an npm package. [See the documentation](https://github.com/npm/registry/blob/main/docs/download-counts.md).",
  version: "0.1.0",
  type: "source",
  props: {
    app,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      description: "One day interval time is recommended because NPM only update metrics once a day. [See the documentation](https://github.com/npm/registry/blob/main/docs/download-counts.md#data-source).",
      default: {
        intervalSeconds: 60 * 60 * 24,
      },
    },
    period: {
      type: "string",
      label: "Period",
      description: "Select last-day, last-week or last-month.",
      optional: false,
      default: "last-day",
      options: [
        "last-day",
        "last-week",
        "last-month",
      ],
    },
    packageName: {
      type: "string",
      label: "Package",
      description: "Enter an npm package name. Leave blank for all",
      optional: true,
    },
  },
  methods: {
    getDownloadCounts({
      period, packageName, ...args
    } = {}) {
      const basePath = `/downloads/point/${encodeURIComponent(period)}`;
      return this.app.makeRequest({
        path: packageName
          ? `${basePath}/${encodeURIComponent(packageName)}`
          : basePath,
        ...args,
      });
    },
  },
  async run({ timestamp: ts }) {
    const {
      getDownloadCounts,
      period,
      packageName,
    } = this;

    const response = await getDownloadCounts({
      period,
      packageName,
    });

    this.$emit(response, {
      id: ts,
      summary: `New Download Count ${response.downloads}`,
      ts,
    });
  },
};

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
npm	`app`	`app`	This component uses the npm app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`	One day interval time is recommended because NPM only update metrics once a day. See the documentation
Period	`period`	`string`	Select a value from the drop down menu:`last-daylast-weeklast-month`
Package	`packageName`	`string`	Enter an npm package name. Leave blank for all

Trigger Authentication#

The npm API does not require authentication.

About npm#

Node package manager

Action#

Generate Text on Mistral AI

Description:Generate text using Mistral AI models. [See the Documentation](https://docs.mistral.ai/api/#tag/chat/operation/chat_completion_v1_chat_completions_post)

Version:0.0.1

Key:mistral_ai-generate-text

View on GitHub

Action Code#

import mistralAI from "../../mistral_ai.app.mjs";

export default {
  key: "mistral_ai-generate-text",
  name: "Generate Text",
  description: "Generate text using Mistral AI models. [See the Documentation](https://docs.mistral.ai/api/#tag/chat/operation/chat_completion_v1_chat_completions_post)",
  version: "0.0.1",
  type: "action",
  props: {
    mistralAI,
    message: {
      type: "string",
      label: "Message",
      description: "The prompt message to send",
    },
    modelId: {
      propDefinition: [
        mistralAI,
        "modelId",
      ],
    },
    temperature: {
      type: "string",
      label: "Temperature",
      description: "The sampling temperature to use, we recommend between 0.0 and 0.7. Higher values like 0.7 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or top_p but not both. The default value varies depending on the model you are targeting.",
      optional: true,
    },
    topP: {
      type: "string",
      label: "Top P",
      description: "Nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both.",
      optional: true,
    },
    maxTokens: {
      type: "integer",
      label: "Max Tokens",
      description: "The maximum number of tokens to generate in the completion. The token count of your prompt plus max_tokens cannot exceed the model's context length.",
      optional: true,
    },
    randomSeed: {
      type: "integer",
      label: "Random Seed",
      description: "The seed to use for random sampling. If set, different calls will generate deterministic results.",
      optional: true,
    },
    n: {
      type: "integer",
      label: "N",
      description: "Number of completions to return for each request, input tokens are only billed once.",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.mistralAI.sendPrompt({
      $,
      data: {
        model: this.modelId,
        messages: [
          {
            content: this.message,
            role: "user",
          },
        ],
        temperature: this.temperature && +this.temperature,
        top_p: this.topP && +this.topP,
        max_tokens: this.maxTokens,
        random_seed: this.randomSeed,
        n: this.n,
      },
    });
    if (response?.id) {
      $.export("$summary", `Successfully retrieved response with ID: ${response.id}`);
    }
    return response;
  },
};

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
Mistral AI	`mistralAI`	`app`	This component uses the Mistral AI app.
Message	`message`	`string`	The prompt message to send
Model ID	`modelId`	`string`	Select a value from the drop down menu.
Temperature	`temperature`	`string`	The sampling temperature to use, we recommend between 0.0 and 0.7. Higher values like 0.7 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or top_p but not both. The default value varies depending on the model you are targeting.
Top P	`topP`	`string`	Nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both.
Max Tokens	`maxTokens`	`integer`	The maximum number of tokens to generate in the completion. The token count of your prompt plus max_tokens cannot exceed the model's context length.
Random Seed	`randomSeed`	`integer`	The seed to use for random sampling. If set, different calls will generate deterministic results.
N	`n`	`integer`	Number of completions to return for each request, input tokens are only billed once.

Generate Text with Mistral AI API on New Download Counts from npm API

Pipedream makes it easy to connect APIs for Mistral AI, npm and 2,500+ other apps remarkably fast.

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

Developers ♥ Pipedream

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