import _302_ai from "../../_302_ai.app.mjs";
import common from "../common/common.mjs";
import constants from "../common/constants.mjs";
export default {
...common,
name: "Chat with 302.AI",
version: "0.0.1",
annotations: {
destructiveHint: false,
openWorldHint: true,
readOnlyHint: false,
},
key: "_302_ai-chat-with-302-ai",
description: "Send a message to the 302.AI Chat API. Ideal for dynamic conversations, contextual assistance, and creative generation. [See documentation](https://doc.302.ai/147522039e0)",
type: "action",
props: {
_302_ai,
modelId: {
propDefinition: [
_302_ai,
"chatCompletionModelId",
],
},
userMessage: {
label: "User Message",
type: "string",
description: "The user message to send to the model",
},
...common.props,
systemInstructions: {
label: "System Instructions",
type: "string",
description: "The system message helps set the behavior of the assistant. For example: \"You are a helpful assistant.\"",
optional: true,
},
messages: {
label: "Prior Message History",
type: "string[]",
description: "Because the models have no memory of past chat requests, all relevant information must be supplied via the conversation. You can provide an array of messages from prior conversations here. **Formats supported:** 1) Plain strings with role prefix (e.g., `User: Hello` or `Assistant: Hi there`), 2) JSON strings (e.g., `{\"role\": \"user\", \"content\": \"Hello\"}`), 3) Plain strings without prefix (defaults to user role).",
optional: true,
},
responseFormat: {
type: "string",
label: "Response Format",
description: "- **Text**: Returns unstructured text output.\n- **JSON Object**: Returns a JSON object.\n- **JSON Schema**: Enables you to define a specific structure for the model's output using a JSON schema.",
options: Object.values(constants.CHAT_RESPONSE_FORMAT).map((format) => format.value),
default: constants.CHAT_RESPONSE_FORMAT.TEXT.value,
optional: true,
reloadProps: true,
},
},
additionalProps() {
const props = {};
if (this.responseFormat === constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value) {
props.jsonSchema = {
type: "string",
label: "JSON Schema",
description: "Define the schema that the model's output must adhere to. Must be a valid JSON schema object.",
};
}
return props;
},
async run({ $ }) {
let messages = [];
if (this.messages && this.messages.length) {
for (const message of this.messages) {
let parsed;
if (typeof message === "string") {
try {
parsed = JSON.parse(message);
} catch {
if (message.toLowerCase().startsWith("user:")) {
parsed = {
role: "user",
content: message.replace(/^user:\s*/i, "").trim(),
};
} else if (message.toLowerCase().startsWith("assistant:")) {
parsed = {
role: "assistant",
content: message.replace(/^assistant:\s*/i, "").trim(),
};
} else if (message.toLowerCase().startsWith("system:")) {
parsed = {
role: "system",
content: message.replace(/^system:\s*/i, "").trim(),
};
} else {
parsed = {
role: "user",
content: message,
};
}
}
} else {
parsed = message;
}
messages.push(parsed);
}
} else {
if (this.systemInstructions) {
messages.push({
"role": "system",
"content": this.systemInstructions,
});
}
}
messages.push({
"role": "user",
"content": this.userMessage,
});
const responseFormat = this.responseFormat ===
constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value && this.jsonSchema
? {
response_format: {
type: this.responseFormat,
json_schema: typeof this.jsonSchema === "string"
? JSON.parse(this.jsonSchema)
: this.jsonSchema,
},
}
: this.responseFormat && this.responseFormat !== constants.CHAT_RESPONSE_FORMAT.TEXT.value
? {
response_format: {
type: this.responseFormat,
},
}
: {};
const data = {
...this._getCommonArgs(),
...responseFormat,
messages,
};
const response = await this._302_ai.createChatCompletion({
$,
data,
});
if (this.responseFormat === constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value) {
for (const choice of response.choices) {
try {
choice.message.content = JSON.parse(choice.message.content);
} catch {
console.log(`Unable to parse JSON: ${choice.message.content}`);
}
}
}
if (response) {
$.export("$summary", `Successfully sent chat with id ${response.id}`);
}
return {
original_messages: messages,
original_messages_with_assistant_response: messages.concat(response.choices[0]?.message),
...response,
};
},
};
Chase Roberts@chsrbrts@benedictevans If you haven’t used @pipedream yet, then you haven’t lived.
✨Ellie Day✨@heyelliedayEvaluation 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@MBraedleyUpdate: 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@mrthomascuttingWant quick+dirty integrations for a serverless workflow - @pipedream is my new go-to 😃
Matthew Roberts@mattdotrobertsday 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 💭@auchenbergYahoo Pipes is back! Kinda 😍 @pipedream
Raymond Camden 🥑@raymondcamdenAwesome 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@nachocaballeroI 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@jyksnwDeveloped 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@DotDotJamesWant to low-code your back end, need more horsepower than @Bubble / @KnackHQ, or just miss Yahoo! Pipes? Check out @PipeDream
Sébastien Chopin@AtinuxGitHub issues should be like @linear_app for maintainers. Looking forward more integrations with GH actions or tools like @pipedream 👀
Raul@raul_predescuIf 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@bitfallsSo @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@ZachLanichUm, wow 🤯 @pipedream
Steven Bell@bellontechI 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 🔥🚴♂️🌳@philsturgeonFor 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.