Create Batch Job with Mistral AI API on New Updated Record (Instant, of Selectable Type) from Salesforce API

Pipedream makes it easy to connect APIs for Mistral AI, Salesforce and 2,700+ other apps remarkably fast.

Trigger workflow on

New Updated Record (Instant, of Selectable Type) from the Salesforce API

Next, do this

Create Batch Job with the Mistral AI API

No credit card required

▶

Watch us build a workflow

8 min

Watch now ➜

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

Developers ♥ Pipedream

Getting Started#

This integration creates a workflow with a Salesforce 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 Updated Record (Instant, of Selectable Type) trigger
1. Connect your Salesforce account
2. Configure timer
3. Select a Object Type
4. Optional- Select one or more Fields To Watch
Configure the Create Batch Job action
1. Connect your Mistral AI account
2. Select one or more File IDs
3. Select a Model ID
4. Select a Endpoint
5. Optional- Configure Metadata
6. Optional- Configure Timeout Hours
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 Updated Record (Instant, of Selectable Type) on Salesforce

Description:Emit new event when a record of the selected type is updated. [See the documentation](https://sforce.co/3yPSJZy)

Version:0.2.0

Key:salesforce_rest_api-record-updated-instant

View on GitHub

Salesforce Overview#

The Salesforce (REST API) provides a powerful platform for creating and managing customer relationships with a wide array of features like data manipulation, querying, and complex automation. With Pipedream's serverless execution, you can create workflows that automate your sales processes, sync data with other platforms, enhance customer engagement, and trigger actions based on specific events. Dive into Salesforce data, streamline lead management, track customer interactions, and push or pull data to or from Salesforce seamlessly.

Trigger Code#

import startCase from "lodash/startCase.js";
import common from "../common.mjs";
import constants from "../../common/constants.mjs";
const { salesforce } = common.props;

export default {
  ...common,
  type: "source",
  name: "New Updated Record (Instant, of Selectable Type)",
  key: "salesforce_rest_api-record-updated-instant",
  description: "Emit new event when a record of the selected type is updated. [See the documentation](https://sforce.co/3yPSJZy)",
  version: "0.2.0",
  props: {
    ...common.props,
    fields: {
      propDefinition: [
        salesforce,
        "field",
        ({ objectType }) => ({
          objectType,
          filter: ({ updateable }) => updateable,
        }),
      ],
      label: "Fields To Watch",
      type: "string[]",
      optional: true,
      description: "If specified, events will only be emitted if at least one of the selected fields is updated. This filter is only available when a webhook is created successfully.",
    },
  },
  methods: {
    ...common.methods,
    generateWebhookMeta(data) {
      const nameField = this.getNameField();
      const { New: newObject } = data.body;
      const {
        LastModifiedDate: lastModifiedDate,
        Id: id,
        [nameField]: name,
      } = newObject;
      const entityType = startCase(this.objectType);
      const summary = `${entityType} updated: ${name}`;
      const ts = Date.parse(lastModifiedDate);
      const compositeId = `${id}-${ts}`;
      return {
        id: compositeId,
        summary,
        ts,
      };
    },
    generateTimerMeta(item, fieldName) {
      const { objectType } = this;

      const {
        LastModifiedDate: lastModifiedDate,
        [fieldName]: name,
        Id: id,
      } = item;

      const entityType = startCase(objectType);
      const summary = `${entityType} updated: ${name}`;
      const ts = Date.parse(lastModifiedDate);
      return {
        id: `${id}-${ts}`,
        summary,
        ts,
      };
    },
    getEventType() {
      return "updated";
    },
    isEventRelevant(changedFields) {
      const { fields } = this;
      return fields?.length
        ? Object.keys(changedFields).some((key) => fields.includes(key))
        : true;
    },
    getChangedFields(body) {
      return Object.entries(body.New).filter(([
        key,
        value,
      ]) => {
        const oldValue = body.Old[key];
        return (
          value !== undefined
          && oldValue !== undefined
          && JSON.stringify(value) !== JSON.stringify(oldValue)
        );
      })
        .reduce((obj, [
          key,
          value,
        ]) => {
          obj[key] = {
            old: body.Old[key],
            new: value,
          };
          return obj;
        }, {});
    },
    processWebhookEvent(event) {
      const { body } = event;
      const changedFields = this.getChangedFields(body);
      if (this.isEventRelevant(changedFields)) {
        const meta = this.generateWebhookMeta(event);
        this.$emit({
          ...body,
          changedFields,
        }, meta);
      }
    },
    async processTimerEvent(eventData) {
      const {
        getNameField,
        getObjectTypeColumns,
        paginate,
        objectType,
        setLatestDateCovered,
        generateTimerMeta,
        $emit: emit,
      } = this;

      const {
        startTimestamp,
        endTimestamp,
      } = eventData;

      const fieldName = getNameField();
      const columns = getObjectTypeColumns();

      const events = await paginate({
        objectType,
        startTimestamp,
        endTimestamp,
        columns,
        dateFieldName: constants.FIELD_NAME.LAST_MODIFIED_DATE,
      });

      const [
        latestEvent,
      ] = events;

      if (latestEvent?.LastModifiedDate) {
        const latestDateCovered = new Date(latestEvent.LastModifiedDate);
        latestDateCovered.setSeconds(0);
        setLatestDateCovered(latestDateCovered.toISOString());
      }

      Array.from(events)
        .reverse()
        .forEach((item) => {
          const meta = generateTimerMeta(item, fieldName);
          emit(item, meta);
        });
    },
    async timerActivateHook() {
      const {
        objectType,
        getObjectTypeDescription,
        setObjectTypeColumns,
      } = this;

      const { fields } = await getObjectTypeDescription(objectType);
      const columns = fields.map(({ name }) => name);

      setObjectTypeColumns(columns);
    },
  },
};

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
Salesforce	`salesforce`	`app`	This component uses the Salesforce app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
	`timer`	`$.interface.timer`	The timer is only used as a fallback if instant event delivery (webhook) is not available.
Object Type	`objectType`	`string`	Select a value from the drop down menu.
Fields To Watch	`fields`	`string[]`	Select a value from the drop down menu.

Trigger Authentication#

Salesforce uses OAuth authentication. When you connect your Salesforce account, Pipedream will open a popup window where you can sign into Salesforce and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Salesforce API.

Pipedream requests the following authorization scopes when you connect your account:

About Salesforce#

Cloud-based customer relationship management (CRM) platform that helps businesses manage sales, marketing, customer support, and other business activities, ultimately aiming to improve customer relationships and streamline operations.

Action#

Create Batch Job on Mistral AI

Description:Create a new batch job, it will be queued for processing. [See the Documentation](https://docs.mistral.ai/api/#tag/batch/operation/jobs_api_routes_batch_get_batch_jobs)

Version:0.0.1

Key:mistral_ai-create-batch-job

View on GitHub

Action Code#

import mistralAI from "../../mistral_ai.app.mjs";
import constants from "../../common/constants.mjs";
import { parseObj } from "../../common/utils.mjs";

export default {
  key: "mistral_ai-create-batch-job",
  name: "Create Batch Job",
  description: "Create a new batch job, it will be queued for processing. [See the Documentation](https://docs.mistral.ai/api/#tag/batch/operation/jobs_api_routes_batch_get_batch_jobs)",
  version: "0.0.1",
  type: "action",
  props: {
    mistralAI,
    inputFiles: {
      propDefinition: [
        mistralAI,
        "fileIds",
      ],
    },
    modelId: {
      propDefinition: [
        mistralAI,
        "modelId",
      ],
    },
    endpoint: {
      type: "string",
      label: "Endpoint",
      description: "The endpoint to use for the batch job",
      options: constants.BATCH_JOB_ENDPOINT_OPTIONS,
    },
    metadata: {
      type: "object",
      label: "Metadata",
      description: "Optional metadata for the batch job in JSON format.",
      optional: true,
    },
    timeoutHours: {
      type: "integer",
      label: "Timeout Hours",
      description: "Optional timeout duration for the batch job in hours.",
      optional: true,
      default: 24,
    },
  },
  async run({ $ }) {
    const response = await this.mistralAI.createBatchJob({
      $,
      data: {
        input_files: this.inputFiles,
        endpoint: this.endpoint,
        model: this.modelId,
        metadata: parseObj(this.metadata),
        timeoutHours: this.timeoutHours,
      },
    });
    if (response?.id) {
      $.export("$summary", `Successfully created batch job 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.
File IDs	`inputFiles`	`string[]`	Select a value from the drop down menu.
Model ID	`modelId`	`string`	Select a value from the drop down menu.
Endpoint	`endpoint`	`string`	Select a value from the drop down menu:`/v1/chat/completions/v1/embeddings/v1/fim/completions/v1/moderations/v1/chat/moderations`
Metadata	`metadata`	`object`	Optional metadata for the batch job in JSON format.
Timeout Hours	`timeoutHours`	`integer`	Optional timeout duration for the batch job in hours.

Action Authentication#

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

About Mistral AI#

Frontier AI in your hands

More Ways to Connect Mistral AI + Salesforce#

Other Popular Integrations#

Download Batch Job Results with Mistral AI API on New Outbound Message (Instant) from Salesforce API

Salesforce + Mistral AI

Create Batch Job with Mistral AI API on New Updated Record (Instant, of Selectable Type) from Salesforce API

Pipedream makes it easy to connect APIs for Mistral AI, Salesforce and 2,700+ other apps remarkably fast.

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

Developers ♥ Pipedream

1-24of2,700+apps by most popular

1
-
24
of
2,700+
apps by most popular