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Generate Text with Cohere API

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Generate Text with the Cohere API
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Getting Started

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

  1. 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
  2. Select a trigger to run your workflow on HTTP requests, schedules or app events
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

Integrations

Generate Text with Cohere API on New Requests from HTTP / Webhook API
HTTP / Webhook + Cohere
 
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Generate Text with Cohere API on New Submission from Typeform API
Typeform + Cohere
 
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Generate Text with Cohere API on New Submission (Instant) from Jotform API
Jotform + Cohere
 
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Generate Text with Cohere API on New Custom Webhook Events from Stripe API
Stripe + Cohere
 
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Generate Text with Cohere API on New Scheduled Tasks from Pipedream API
Pipedream + Cohere
 
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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 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

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",
};

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.
LabelPropTypeDescription
CoherecoherePlatformappThis component uses the Cohere app.
Promptpromptstring

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.

ModelmodelstringSelect a value from the drop down menu:mediumxlarge
Number of generationsnumGenerationsinteger

Defaults to 1, min value of 1, max value of 5. Denotes the maximum number of generations that will be returned.

Max TokensmaxTokensinteger

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.

Presetpresetstring

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.

Temperaturetemperaturestring

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.

Kkinteger

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.

Ppstring

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 PenaltyfrequencyPenaltystring

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 SequencesendSequencesstring[]

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 SequencesstopSequencesstring[]

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 LikelihoodsreturnLikelihoodsstringSelect a value from the drop down menu:GENERATIONALLNONE
Logit BiaslogitBiasobject

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.

TruncatetruncatestringSelect a value from the drop down menu:NONESTARTEND

Authentication

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

Generate and copy your API key from your Cohere Platform dashboard.

About Cohere

Making NLP part of every developer's toolkit. Harness the power of language understanding. Join the developers and businesses who are using Cohere to generate, categorize and organize text at a scale that was previously unimaginable.

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Choose Best Completion with the Cohere API

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Classify Text with the Cohere API

This action makes a prediction about which label fits the specified text inputs best. See the docs here

 
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Summarize Text with the Cohere API

This action generates a summary in English for the given text. See the docs here

 
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