← Anthropic (Claude)

Chat with Anthropic (Claude) API

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Chat with the Anthropic (Claude) API
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Getting Started

Create a workflow to Chat with the Anthropic (Claude) API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Chat action
    1. Connect your Anthropic (Claude) account
    2. Select a Model
    3. Configure User Message
    4. Optional- Configure Prior Message History
    5. Optional- Configure Temperature
    6. Optional- Configure Top K
    7. Optional- Configure Top P
    8. Configure Maximum Tokens To Sample
  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

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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.

Chat on Anthropic (Claude)
Description:The Chat API. [See the documentation](https://docs.anthropic.com/claude/reference/messages_post)
Version:0.0.7
Key:anthropic-chat

Code

import anthropic from "../../anthropic.app.mjs";
import constants from "../common/constants.mjs";

export default {
  name: "Chat",
  version: "0.0.7",
  key: "anthropic-chat",
  description: "The Chat API. [See the documentation](https://docs.anthropic.com/claude/reference/messages_post)",
  type: "action",
  props: {
    anthropic,
    model: {
      label: "Model",
      description: "Select the model to use for your query. Defaults to the `claude-3-opus-20240229` model, which Anthropic describes as the \"Most powerful model for highly complex tasks\".",
      type: "string",
      options: constants.MESSAGE_MODELS,
      default: constants.MESSAGE_MODELS[0],
    },
    userMessage: {
      label: "User Message",
      type: "string",
      description: "The user messages provide instructions to the assistant",
    },
    messages: {
      label: "Prior Message History",
      type: "string[]",
      description: "All relevant information must be supplied via the conversation. You can provide an array of messages from prior conversations here always beginning with the human message.",
      optional: true,
    },
    temperature: {
      label: "Temperature",
      description: "**Optional**. Amount of randomness injected into the response. Ranges from 0 to 1. Use temp closer to 0 for analytical / multiple choice, and temp closer to 1 for creative and generative tasks.",
      type: "string",
      optional: true,
    },
    topK: {
      label: "Top K",
      description: "Only sample from the top K options for each subsequent token. Used to remove `long tail` low probability responses.",
      type: "integer",
      optional: true,
    },
    topP: {
      label: "Top P",
      description: "Does nucleus sampling, in which we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified.",
      type: "string",
      optional: true,
    },
    maxTokensToSample: {
      label: "Maximum Tokens To Sample",
      description: "A maximum number of tokens to generate before stopping.",
      type: "integer",
    },
  },
  async run({ $ }) {
    const messages = [];

    const priorMessages = typeof this.messages === "string"
      ? JSON.parse(this.messages)
      : this.messages;

    if (priorMessages?.length) {
      let isUserMessage = true;

      for (const message of priorMessages) {
        messages.push({
          role: isUserMessage
            ? "user"
            : "assistant",
          content: message,
        });

        isUserMessage = !isUserMessage;
      }
    }

    messages.push({
      role: "user",
      content: this.userMessage,
    });

    const response = await this.anthropic.createMessage({
      $,
      data: {
        messages,
        model: this.model,
        max_tokens: this.maxTokensToSample,
        temperature: this.temperature
          ? parseFloat(this.temperature)
          : undefined,
        top_p: this.topP
          ? parseFloat(this.topP)
          : undefined,
        top_k: this.topK,
      },
    });

    if (response) {
      $.export("$summary", `Successfully sent message with ID ${response.id}`);
    }

    const originalMessages = messages.map(({ content }) => content);
    return {
      original_messages: originalMessages,
      original_messages_with_assistant_response: originalMessages.concat(response.content[0].text),
      ...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.
LabelPropTypeDescription
Anthropic (Claude)anthropicappThis component uses the Anthropic (Claude) app.
ModelmodelstringSelect a value from the drop down menu:claude-3-opus-20240229claude-3-sonnet-20240229claude-3-haiku-20240307claude-2.1claude-2.0claude-instant-1.2
User MessageuserMessagestring

The user messages provide instructions to the assistant

Prior Message Historymessagesstring[]

All relevant information must be supplied via the conversation. You can provide an array of messages from prior conversations here always beginning with the human message.

Temperaturetemperaturestring

Optional. Amount of randomness injected into the response. Ranges from 0 to 1. Use temp closer to 0 for analytical / multiple choice, and temp closer to 1 for creative and generative tasks.

Top KtopKinteger

Only sample from the top K options for each subsequent token. Used to remove long tail low probability responses.

Top PtopPstring

Does nucleus sampling, in which we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified.

Maximum Tokens To SamplemaxTokensToSampleinteger

A maximum number of tokens to generate before stopping.

Authentication

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

About Anthropic (Claude)

AI research and products that put safety at the frontier. Introducing Claude, a next-generation AI assistant for your tasks, no matter the scale.

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