LibreChat/api/app/clients/prompts/formatGoogleInputs.js

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feat(Google): Support all Text/Chat Models, Response streaming, `PaLM` -> `Google` 🤖 (#1316) * feat: update PaLM icons * feat: add additional google models * POC: formatting inputs for Vertex AI streaming * refactor: move endpoints services outside of /routes dir to /services/Endpoints * refactor: shorten schemas import * refactor: rename PALM to GOOGLE * feat: make Google editable endpoint * feat: reusable Ask and Edit controllers based off Anthropic * chore: organize imports/logic * fix(parseConvo): include examples in googleSchema * fix: google only allows odd number of messages to be sent * fix: pass proxy to AnthropicClient * refactor: change `google` altName to `Google` * refactor: update getModelMaxTokens and related functions to handle maxTokensMap with nested endpoint model key/values * refactor: google Icon and response sender changes (Codey and Google logo instead of PaLM in all cases) * feat: google support for maxTokensMap * feat: google updated endpoints with Ask/Edit controllers, buildOptions, and initializeClient * feat(GoogleClient): now builds prompt for text models and supports real streaming from Vertex AI through langchain * chore(GoogleClient): remove comments, left before for reference in git history * docs: update google instructions (WIP) * docs(apis_and_tokens.md): add images to google instructions * docs: remove typo apis_and_tokens.md * Update apis_and_tokens.md * feat(Google): use default settings map, fully support context for both text and chat models, fully support examples for chat models * chore: update more PaLM references to Google * chore: move playwright out of workflows to avoid failing tests
2023-12-10 14:54:13 -05:00
/**
* Formats an object to match the struct_val, list_val, string_val, float_val, and int_val format.
*
* @param {Object} obj - The object to be formatted.
* @returns {Object} The formatted object.
*
* Handles different types:
* - Arrays are wrapped in list_val and each element is processed.
* - Objects are recursively processed.
* - Strings are wrapped in string_val.
* - Numbers are wrapped in float_val or int_val depending on whether they are floating-point or integers.
*/
function formatGoogleInputs(obj) {
const formattedObj = {};
for (const key in obj) {
if (Object.prototype.hasOwnProperty.call(obj, key)) {
const value = obj[key];
// Handle arrays
if (Array.isArray(value)) {
formattedObj[key] = { list_val: value.map((item) => formatGoogleInputs(item)) };
}
// Handle objects
else if (typeof value === 'object' && value !== null) {
formattedObj[key] = formatGoogleInputs(value);
}
// Handle numbers
else if (typeof value === 'number') {
formattedObj[key] = Number.isInteger(value) ? { int_val: value } : { float_val: value };
}
// Handle other types (e.g., strings)
else {
formattedObj[key] = { string_val: [value] };
}
}
}
return { struct_val: formattedObj };
}
module.exports = formatGoogleInputs;