@cognigy/rest-api-client
Version:
Cognigy REST-Client
146 lines • 5.43 kB
JavaScript
import { __awaiter } from "tslib";
/* Custom modules */
import { createNodeDescriptor } from "../../createNodeDescriptor";
import { createLastConverationString } from "../nlu/generativeSlotFiller/prompt";
export const GPT_CONVERSATION_SUMMARY = createNodeDescriptor({
type: "conversationSummary",
defaultLabel: "Generative Conversation Summary",
summary: "UI__NODE_EDITOR__SERVICE__CONVERSATION_SUMMARY__SUMMARY__DEFAULT",
fields: [
{
key: "temperature",
label: "UI__NODE_EDITOR__SERVICE__CONVERSATION_SUMMARY__FIELDS__TEMPERATURE__DEFAULT",
type: "slider",
description: "UI__NODE_EDITOR__SERVICE__CONVERSATION_SUMMARY__FIELDS__TEMPERATURE__DESCRIPTION__DEFAULT",
defaultValue: 0.7,
params: {
min: 0,
max: 1,
step: 0.1
},
condition: {
key: "samplingMethod",
value: "temperature",
}
},
{
key: "timeout",
label: "UI__NODE_EDITOR__SERVICE__CONVERSATION_SUMMARY__FIELDS__TIMEOUT__DEFAULT",
defaultValue: 5000,
type: "number",
description: "UI__NODE_EDITOR__SERVICE__CONVERSATION_SUMMARY__FIELDS__TIMEOUT__DESCRIPTION",
},
{
key: "storeLocation",
type: "select",
label: "UI__NODE_EDITOR__SERVICE__CONVERSATION_SUMMARY__FIELDS__STORE_LOCATION__DEFAULT",
defaultValue: "input",
params: {
options: [
{
label: "UI__NODE_EDITOR__SERVICE__CONVERSATION_SUMMARY__FIELDS__STORE_LOCATION__PARAMS__INPUT__LABEL",
value: "input"
},
{
label: "UI__NODE_EDITOR__SERVICE__CONVERSATION_SUMMARY__FIELDS__STORE_LOCATION__PARAMS__CONTEXT__LABEL",
value: "context"
}
],
required: true
},
},
{
key: "inputKey",
type: "cognigyText",
label: "UI__NODE_EDITOR__SERVICE__CONVERSATION_SUMMARY__FIELDS__INPUT_KEY__DEFAULT",
defaultValue: "conversationSummary",
condition: {
key: "storeLocation",
value: "input",
}
},
{
key: "contextKey",
type: "cognigyText",
label: "UI__NODE_EDITOR__SERVICE__CONVERSATION_SUMMARY__FIELDS__CONTEXT_KEY__DEFAULT",
defaultValue: "conversationSummary",
condition: {
key: "storeLocation",
value: "context",
}
},
],
sections: [
{
key: "advanced",
label: "UI__NODE_EDITOR__SERVICE__CONVERSATION_SUMMARY__SECTIONS__ADVANCED__DEFAULT",
defaultCollapsed: true,
fields: [
"temperature",
"timeout",
]
},
{
key: "storage",
label: "UI__NODE_EDITOR__SERVICE__CONVERSATION_SUMMARY__SECTIONS__STORAGE__DEFAULT",
defaultCollapsed: true,
fields: [
"storeLocation",
"inputKey",
"contextKey",
]
}
],
form: [
{ type: "section", key: "advanced" },
{ type: "section", key: "storage" },
],
appearance: {},
tags: ["service"],
function: ({ cognigy, config }) => __awaiter(void 0, void 0, void 0, function* () {
var _a;
const { api } = cognigy;
const { temperature, storeLocation, contextKey, inputKey, timeout, } = config;
const prompt = createConversationSummaryPrompt(cognigy.lastConversationEntries);
try {
const data = {
prompt,
temperature,
timeoutInMs: timeout,
useCase: "conversationSummary"
};
// TODO: Create a new useCase for this feature and use it here instead
const response = yield api.runGenerativeAIPrompt(data, "gptConversation");
if (storeLocation === "context") {
api.addToContext(contextKey, response, "simple");
}
else {
// @ts-ignore
api.addToInput(inputKey, response);
}
}
catch (error) {
const errorDetails = {
name: error.name,
code: error.code,
message: error.message || ((_a = error.originalErrorDetails) === null || _a === void 0 ? void 0 : _a.message),
};
if (storeLocation === "context") {
api.addToContext(contextKey, { error: errorDetails }, "simple");
}
else {
// @ts-ignore
api.addToInput(inputKey, { error: errorDetails });
}
throw error;
}
})
});
const createConversationSummaryPrompt = (lastConversationEntries) => {
const conversation = createLastConverationString(lastConversationEntries);
const prompt = `A bot had a conversation with a user. This is the conversation so far:
${conversation}
Write a concise summary of the conversation in short sentences: `;
return prompt;
};
//# sourceMappingURL=conversationSummary.js.map