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const { promptTokensEstimate } = require('openai-chat-tokens');
const checkBalance = require('../../../models/checkBalance');
const { isEnabled } = require('../../../server/utils');
const { formatFromLangChain } = require('../prompts');
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: ${context}`);
console.dir({ model, functions, function_call }, { depth: null });
}
const payload = { messages };
let prelimPromptTokens = 1;
if (functions) {
payload.functions = functions;
prelimPromptTokens += 2;
}
if (function_call) {
payload.function_call = function_call;
prelimPromptTokens -= 5;
}
prelimPromptTokens += promptTokensEstimate(payload);
if (manager.debug) {
console.log('Prelim Prompt Tokens & Token Buffer', prelimPromptTokens, tokenBuffer);
}
prelimPromptTokens += tokenBuffer;
try {
if (isEnabled(process.env.CHECK_BALANCE)) {
const generations =
initialMessageCount && messages.length > initialMessageCount
? messages.slice(initialMessageCount)
: null;
await checkBalance({
req: manager.req,
res: manager.res,
txData: {
user: manager.user,
tokenType: 'prompt',
amount: prelimPromptTokens,
debug: manager.debug,
generations,
model,
},
});
}
} catch (err) {
console.error(`[${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;
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