import utils from "../../common/utils.mjs";
import app from "../../llama_ai.app.mjs";
export default {
key: "llama_ai-create-chat",
name: "Create Chat",
description: "Creates a new chat. [See the documentation](https://docs.llama-api.com/api-reference/endpoint/create)",
version: "0.0.1",
type: "action",
props: {
app,
messages: {
type: "string[]",
label: "Messages",
description: "A collection of messages that form the ongoing conversation. Each message should be a JSON string.",
},
functions: {
type: "string[]",
label: "Functions",
description: "A list of functions for which the model can generate JSON inputs. Each function should be a JSON string.",
optional: true,
},
stream: {
type: "boolean",
label: "Stream",
description: "When this option is enabled, the model will send partial message updates, similar to ChatGPT. Tokens will be transmitted as data-only server-sent events as they become available, and the streaming will conclude with a data: [DONE] marker.",
optional: true,
},
functionCall: {
type: "string",
label: "Function Call",
description: "This parameter governs the model's response to function calls. Choosing \"none\" indicates that the model will not invoke any functions and will respond directly to the end-user.",
optional: true,
},
},
methods: {
createChat(args = {}) {
return this.app.post({
path: "/chat/completions",
...args,
});
},
},
async run({ $ }) {
const {
createChat,
messages,
functions,
stream,
functionCall,
} = this;
const response = await createChat({
$,
data: {
messages: utils.parseArray(messages),
functions: utils.parseArray(functions),
stream,
function_call: functionCall,
},
});
$.export("$summary", `Successfully created a new chat with \`${response.choices.length}\` choice(s)`);
return response;
},
};
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