LibreChat/api/app/clients/callbacks/createStartHandler.js
Danny Avila df1dfa7d46
refactor: Use librechat-data-provider app-wide 🔄 (#1326)
* chore: bump vite, vitejs/plugin-react, mark client package as esm, move react-query as a peer dep in data-provider

* chore: import changes due to new data-provider export strategy, also fix type imports where applicable

* chore: export react-query services as separate to avoid react dependencies in /api/

* chore: suppress sourcemap warnings and polyfill node:path which is used by filenamify
TODO: replace filenamify with an alternative and REMOVE polyfill

* chore: /api/ changes to support `librechat-data-provider`

* refactor: rewrite Dockerfile.multi in light of /api/ changes to support `librechat-data-provider`

* chore: remove volume mapping to node_modules directories in default compose file

* chore: remove schemas from /api/ as is no longer needed with use of `librechat-data-provider`

* fix(ci): jest `librechat-data-provider/react-query` module resolution
2023-12-11 14:48:40 -05:00

86 lines
2.4 KiB
JavaScript

const { promptTokensEstimate } = require('openai-chat-tokens');
const { EModelEndpoint } = require('librechat-data-provider');
const { formatFromLangChain } = require('~/app/clients/prompts');
const checkBalance = require('~/models/checkBalance');
const { isEnabled } = require('~/server/utils');
const createStartHandler = ({
context,
conversationId,
tokenBuffer = 0,
initialMessageCount,
manager,
}) => {
return async (_llm, _messages, runId, parentRunId, extraParams) => {
const { invocation_params } = extraParams;
const { model, functions, function_call } = invocation_params;
const messages = _messages[0].map(formatFromLangChain);
if (manager.debug) {
console.log(`handleChatModelStart: ${context}`);
console.dir({ model, functions, function_call }, { depth: null });
}
const payload = { messages };
let prelimPromptTokens = 1;
if (functions) {
payload.functions = functions;
prelimPromptTokens += 2;
}
if (function_call) {
payload.function_call = function_call;
prelimPromptTokens -= 5;
}
prelimPromptTokens += promptTokensEstimate(payload);
if (manager.debug) {
console.log('Prelim Prompt Tokens & Token Buffer', prelimPromptTokens, tokenBuffer);
}
prelimPromptTokens += tokenBuffer;
try {
if (isEnabled(process.env.CHECK_BALANCE)) {
const generations =
initialMessageCount && messages.length > initialMessageCount
? messages.slice(initialMessageCount)
: null;
await checkBalance({
req: manager.req,
res: manager.res,
txData: {
user: manager.user,
tokenType: 'prompt',
amount: prelimPromptTokens,
debug: manager.debug,
generations,
model,
endpoint: EModelEndpoint.openAI,
},
});
}
} catch (err) {
console.error(`[${context}] checkBalance error`, err);
manager.abortController.abort();
if (context === 'summary' || context === 'plugins') {
manager.addRun(runId, { conversationId, error: err.message });
throw new Error(err);
}
return;
}
manager.addRun(runId, {
model,
messages,
functions,
function_call,
runId,
parentRunId,
conversationId,
prelimPromptTokens,
});
};
};
module.exports = createStartHandler;