Choose Best Completion with Cohere API

Pipedream makes it easy to connect APIs for Cohere and 2,000+ other apps remarkably fast.

Trigger workflow on

HTTP requests, schedules and app events

Next, do this

Choose Best Completion with the Cohere API

No credit card required

▶

Watch us build a workflow

8 min

Watch now ➜

Trusted by 800,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

Chase Roberts
@chsrbrts
@benedictevans If you haven’t used @pipedream yet, then you haven’t lived.
✨Ellie Day✨
@heyellieday
Evaluation update: @pipedream has quite literally been a dream to work with! I’m excited to leverage this tool for all the various workflows I need to write. I’m currently at 11k invocations a day from the initial workflows I’ve written in the past couple weeks.
Michael Braedley
@MBraedley
Update: I got it working properly, and it's working so well that I'm dropping IFTTT. @pipedream can do everything that IFTTT basic can, and most (if not all things) IFTTT pro can for free or at a reasonable price if you need it. I am recommending it for basically any power user.
Thomas Cutting
@mrthomascutting
Want quick+dirty integrations for a serverless workflow - @pipedream is my new go-to 😃
Matthew Roberts
@mattdotroberts
day 013 - finally hit node js. This is the secret sauce of taking #nocode projects that one step further. Pumped about getting deeper into @pipedream now
Kenneth Auchenberg 💭
@auchenberg
Yahoo Pipes is back! Kinda 😍 @pipedream
Raymond Camden 🥑
@raymondcamden
Awesome video by the @pipedream folks showing real time twitter sentiment analysis integrated with Google Sheets. This is where Pipedream *really* shines, connecting systems together in easy workflows.
Nacho Caballero
@nachocaballero
I couldn't recommend @pipedream more. It's an amazing service to integrate different APIs. Much more powerful than Zapier and more user-friendly than AWS Lambda. I'm very proud to wear this t-shirt #NoCode
Jason Snow
@jyksnw
Developed a working prototype environmental sensor IoT solution with @particle Photon, @pipedream, and @MongoDB with full graphing and alerting in less than a day! All amazing technology, will def. be exploring these more.
Steven Terrana
@steven_terrana
@burgwyn you've inspired me to finally set up my own blog. I'll make sure my first blog post explains the tech behind the setup. think @obsdmd + @GatsbyJS + @pipedream.
🚄 James Augeri, PhD
@DotDotJames
Want to low-code your back end, need more horsepower than @Bubble / @KnackHQ, or just miss Yahoo! Pipes? Check out @PipeDream
Sébastien Chopin
@Atinux
GitHub issues should be like @linear_app for maintainers. Looking forward more integrations with GH actions or tools like @pipedream 👀
Raul
@raul_predescu
If you're a dev and not using @pipedream, you're missing out. Been using it for months, daily. FREE for devs. Plenty of integrations and good limits. Absolutely love it.
Bruno Skvorc
@bitfalls
So @pipedream is pretty amazing. In 3 minutes I just made a flow which adds @rickastley's Never Gonna Give You Up to my @spotify playlist whenever a new pull request arrives in an old repo of mine.
Zach Lanich
@ZachLanich
Um, wow 🤯 @pipedream
Steven Bell
@bellontech
I just used @pipedream to build a Shopify App. Wow, they make small backed tasks easy.
Jay Hack 🎩🇺🇸
@_jayhack_
Very impressed with this bad boi - it reminds me of a @PalantirTech internal tool, but geared towards integrations instead of data analysis and far more customizable. Great expectations here 🚀🤩
Tree Sturgeon 🔥🚴‍♂️🌳
@philsturgeon
For context this is day 2 of a really challenging and stupid migration from Notion to @airtable with disparate/missing data. It's going better than expected and thanks to @pipedream I don't have to bother the iOS dev to add W3W.

Getting Started#

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

Configure the Choose Best Completion 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
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#

Choose Best Completion with Cohere API on New Requests from HTTP / Webhook API

HTTP / Webhook + Cohere

Try it

Choose Best Completion with Cohere API on New Submission from Typeform API

Typeform + Cohere

Try it

Choose Best Completion with Cohere API on New Submission (Instant) from Jotform API

Jotform + Cohere

Try it

Choose Best Completion with Cohere API on New Custom Webhook Events from Stripe API

Stripe + Cohere

Try it

Choose Best Completion with Cohere API on New Scheduled Tasks from Pipedream API

Pipedream + Cohere

Try it

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.

Choose Best Completion on Cohere

Description:This action chooses the best completion conditioned on a given examples. [See the docs here](https://docs.cohere.ai/reference/generate)

Version:0.0.2

Key:cohere_platform-choose-best-completion

View on GitHub

Code#

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

export default {
  ...common,
  key: "cohere_platform-choose-best-completion",
  name: "Choose Best Completion",
  version: "0.0.2",
  description: "This action chooses the best completion conditioned on a given examples. [See the docs here](https://docs.cohere.ai/reference/generate)",
  type: "action",
  props: {
    ...common.props,
    prompt: {
      propDefinition: [
        common.props.coherePlatform,
        "prompt",
      ],
      type: "string[]",
    },
  },
  methods: {
    ...common.methods,
    prepareAdditionalData({ prompt }) {
      return {
        prompt: prompt.toString(),
      };
    },
  },
};

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
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`