Chat with Anthropic (Claude) API on New Odd Updated from The Odds API API

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New Odd Updated from the The Odds API API

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Getting Started#

This integration creates a workflow with a The Odds API trigger and Anthropic (Claude) action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Odd Updated trigger
1. Connect your The Odds API account
2. Configure timer
3. Select a Region
4. Select a Sport
5. Select a Event
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
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 Odd Updated on The Odds API

Description:Emit new event when a new sports event is listed on The Odds API.

Version:0.0.1

Key:the_odds_api-new-odd-updated

View on GitHub

The Odds API Overview#

With The Odds API on Pipedream, you can access a range of bookmakers and exchanges to get live and upcoming sports odds. This integration allows you to create workflows for odds comparison, betting opportunities, or even to power a custom alerting system for when odds reach a certain threshold. The data provided by The Odds API can be used to inform decisions or feed into other apps for enhanced functionality.

Trigger Code#

import app from "../../the_odds_api.app.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import constants from "../../common/constants.mjs";

export default {
  name: "New Odd Updated",
  version: "0.0.1",
  key: "the_odds_api-new-odd-updated",
  description: "Emit new event when a new sports event is listed on The Odds API.",
  type: "source",
  dedupe: "unique",
  props: {
    app,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      static: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    region: {
      type: "string",
      label: "Region",
      description: "Regions of the bookmakers to be returned",
      options: constants.REGIONS,
    },
    sport: {
      propDefinition: [
        app,
        "sport",
      ],
    },
    event: {
      propDefinition: [
        app,
        "event",
        (c) => ({
          sport: c.sport,
          region: c.region,
        }),
      ],
    },
  },
  methods: {
    emitEvent(data) {
      this.$emit(data, {
        id: `${data.key} - ${data?.markets[0]?.last_update}`,
        summary: `New odd ${data.title}`,
        ts: Date.parse(data?.markets[0]?.last_update) ?? Date.now(),
      });
    },
    async emitAllResources() {
      const { bookmakers: resources } = await this.app.fetchCurrentOdds({
        sport: this.sport,
        event: this.event,
        params: {
          regions: this.region,
        },
      });

      resources.slice(0, 10).forEach(this.emitEvent);
    },
  },
  hooks: {
    async deploy() {
      await this.emitAllResources();
    },
  },
  async run() {
    await this.emitAllResources();
  },
};

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
The Odds API	`app`	`app`	This component uses the The Odds API app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Region	`region`	`string`	Select a value from the drop down menu:`{ "label": "United States", "value": "us" }{ "label": "United States 2", "value": "us2" }{ "label": "United Kingdom", "value": "uk" }{ "label": "Australia", "value": "au" }{ "label": "Europe", "value": "eu" }`
Sport	`sport`	`string`	Select a value from the drop down menu.
Event	`event`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

To retrieve your API Key,

Navigate to your The Odds API account and sign in
Go to “Account” > “API”

About The Odds API#

Sports odds data in a simple API. Covering bookmakers from around the globe for NFL, NBA, EPL and much more.

Action#

Chat on Anthropic (Claude)

Description:The Chat API. [See the documentation](https://docs.anthropic.com/claude/reference/messages_post)

Version:0.2.2

Key:anthropic-chat

View on GitHub

Anthropic (Claude) Overview#

The Anthropic (Claude) API offers a conversational AI that can be leveraged for a variety of applications, ranging from answering questions to generating content or providing customer support. In Pipedream, you can create powerful workflows that utilize the capabilities of Claude to automate responses, analyze text, or enhance data with AI-generated insights. Pipedream's serverless platform simplifies integrating Claude into your processes with other apps and services for seamless automation.

Action Code#

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

export default {
  name: "Chat",
  version: "0.2.2",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  key: "anthropic-chat",
  description: "The Chat API. [See the documentation](https://docs.anthropic.com/claude/reference/messages_post)",
  type: "action",
  props: {
    anthropic,
    model: {
      propDefinition: [
        anthropic,
        "model",
      ],
    },
    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,
    };
  },
};

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
Anthropic (Claude)	`anthropic`	`app`	This component uses the Anthropic (Claude) app.
Model	`model`	`string`	Select a value from the drop down menu.
User Message	`userMessage`	`string`	The user messages provide instructions to the assistant
Prior Message History	`messages`	`string[]`	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.
Temperature	`temperature`	`string`	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 K	`topK`	`integer`	Only sample from the top K options for each subsequent token. Used to remove `long tail` low probability responses.
Top P	`topP`	`string`	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 Sample	`maxTokensToSample`	`integer`	A maximum number of tokens to generate before stopping.