import app from "../../gpt_trainer.app.mjs";
export default {
key: "gpt_trainer-create-chatbot",
name: "Create Chatbot",
description: "Creates a new chatbot that belongs to the authenticated user. [See the documentation](https://guide.gpt-trainer.com/api-reference/chatbots/create)",
version: "0.0.1",
type: "action",
props: {
app,
name: {
type: "string",
label: "Name",
description: "The name of the chatbot",
},
prompt: {
type: "string",
label: "Prompt",
description: "The prompt for the chatbot",
optional: true,
},
temperature: {
type: "string",
label: "Temperature",
description: "The temperature setting for the chatbot",
optional: true,
},
model: {
type: "string",
label: "Model",
description: "The model of the chatbot",
optional: true,
default: "gpt-3.5-turbo",
options: [
"gpt-3.5-turbo",
"gpt-3.5-turbo-16k",
"gpt-4",
],
},
visibility: {
type: "string",
label: "Visibility",
description: "The visibility of the chatbot",
optional: true,
default: "private",
options: [
"public",
"private",
"hybrid",
],
},
rateLimitMessage: {
type: "string",
label: "Rate Limit Message",
description: "The rate limit message for the chatbot. Eg. `Too many messages in a row.`",
optional: true,
},
showCitations: {
type: "boolean",
label: "Show Citations",
description: "Whether the chatbot should show citations",
optional: true,
},
},
methods: {
parseFloat(value) {
const parsed = parseFloat(value);
return isFinite(parsed)
? parsed
: 0;
},
createChatbot(args = {}) {
return this.app.post({
path: "/chatbot/create",
...args,
});
},
},
async run({ $ }) {
const {
createChatbot,
parseFloat,
name,
prompt,
temperature,
model,
visibility,
rateLimitMessage,
showCitations,
} = this;
const response = await createChatbot({
$,
data: {
name,
temperature: parseFloat(temperature),
prompt,
model,
visibility,
show_citations: showCitations,
rate_limit_message: rateLimitMessage,
},
});
$.export("$summary", `Successfully created chatbot with UUID \`${response.uuid}\`.`);
return response;
},
};
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