Generate Completion with Ollama API

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Generate Completion with the Ollama API

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Getting Started#

Create a workflow to Generate Completion with the Ollama API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Configure the Generate Completion action
1. Connect your Ollama account
2. Select a Model Name
3. Configure Prompt
4. Optional- Configure Suffix
5. Optional- Configure Images
6. Optional- Configure Advanced Options
7. Optional- Configure Stream
8. Optional- Configure Keep Alive
Select a trigger to run your workflow on HTTP requests, schedules or app events
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Integrations#

Generate Completion with Ollama API on New Requests (Payload Only) from HTTP / Webhook API

HTTP / Webhook + Ollama

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Typeform + Ollama

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Generate Completion with Ollama API on New Submission (Instant) from Jotform API

Jotform + Ollama

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Generate Completion with Ollama API on New Scheduled Tasks from Pipedream API

Pipedream + Ollama

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Generate Completion with Ollama API on New Download Counts from npm API

npm + Ollama

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Details#

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is 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.

Generate Completion on Ollama

Description:Generates a response for a given prompt with a provided model. [See the documentation](https://github.com/ollama/ollama/blob/main/docs/api.md#generate-a-completion).

Version:0.0.1

Key:ollama-generate-completion

View on GitHub

Code#

import utils from "../../common/utils.mjs";
import app from "../../ollama.app.mjs";

export default {
  key: "ollama-generate-completion",
  name: "Generate Completion",
  description: "Generates a response for a given prompt with a provided model. [See the documentation](https://github.com/ollama/ollama/blob/main/docs/api.md#generate-a-completion).",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    model: {
      propDefinition: [
        app,
        "model",
      ],
    },
    prompt: {
      propDefinition: [
        app,
        "prompt",
      ],
    },
    suffix: {
      propDefinition: [
        app,
        "suffix",
      ],
    },
    images: {
      propDefinition: [
        app,
        "images",
      ],
    },
    options: {
      propDefinition: [
        app,
        "options",
      ],
    },
    stream: {
      propDefinition: [
        app,
        "stream",
      ],
    },
    keepAlive: {
      propDefinition: [
        app,
        "keepAlive",
      ],
    },
  },
  methods: {
    generateCompletion(args = {}) {
      return this.app.post({
        path: "/generate",
        ...args,
      });
    },
  },
  async run({ $ }) {
    const {
      generateCompletion,
      model,
      prompt,
      suffix,
      images,
      options,
      stream,
      keepAlive,
    } = this;

    const response = await generateCompletion({
      $,
      data: {
        model,
        prompt,
        suffix,
        images,
        options: utils.parseOptions(options),
        stream,
        keep_alive: keepAlive,
      },
    });
    $.export("$summary", "Successfully generated completion.");
    return response;
  },
};

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
Ollama	`app`	`app`	This component uses the Ollama app.
Model Name	`model`	`string`	Select a value from the drop down menu.
Prompt	`prompt`	`string`	The prompt to generate a response for.
Suffix	`suffix`	`string`	The text after the model response.
Images	`images`	`string[]`	A list of base64-encoded images (for multimodal models such as `llava`).
Advanced Options	`options`	`object`	Additional model parameters listed in the documentation for the Modelfile such as `temperature`
Stream	`stream`	`boolean`	If `false` the response will be returned as a single response object, rather than a stream of objects.
Keep Alive	`keepAlive`	`string`	Controls how long the model will stay loaded into memory following the request (default: 5m).