Wroclaw/GPTcord
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execution: factor out chat completion process

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Wroclaw 2024-04-26 04:03:34 +02:00
parent d3567c3607
commit 482f72a4d1
1 changed files with 40 additions and 25 deletions
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65
src/execution.ts
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@ -219,7 +219,6 @@ function logUsedTokens(
async function executeFromQueue(channel: string) {
const channelQueue = channelsRunning.get(channel) as ChannelsRunningValue;
const message = channelQueue.at(0) as RequestMessage;
let functionRanCounter = 0;
let OpenAImessages: ChatCompletionMessageParam[] = [];
// ignore if we can't even send anything to reply
@ -247,30 +246,7 @@ async function executeFromQueue(channel: string) {
});
OpenAImessages = toOpenAIMessages(messages.values());
let generatedMessage: ChatCompletionMessage | undefined = undefined;
let answer: Awaited<ReturnType<typeof openai.chat.completions.create>>;
do {
answer = await openai.chat.completions.create({
...config.chatCompletionParams,
messages: OpenAImessages,
// FIXME: don't use new instance of FunctionManager
tools: new FunctionManager().getToolsForOpenAi(),
});
functionRanCounter += answer.choices[0].message?.tool_calls?.length ?? 0;
logUsedTokens(answer, message, ++functionRanCounter);
generatedMessage = answer.choices[0].message;
if (!generatedMessage) throw new Error("Empty message received");
// handle tool calls
if (generatedMessage.tool_calls !== undefined && generatedMessage.tool_calls.length > 0) {
OpenAImessages.push(generatedMessage);
// FIXME: don't use new instance of FunctionManager
OpenAImessages.push(...(await new FunctionManager().handleToolCalls(generatedMessage.tool_calls)));
}
} while (generatedMessage.tool_calls !== undefined && generatedMessage.tool_calls.length > 0);
const answer = await executeChatCompletion(OpenAImessages, message);
channelQueue.stopTyping();
@ -349,3 +325,42 @@ async function executeFromQueue(channel: string) {
else
return executeFromQueue(channel);
}
/**
* Executes the chat completion process.
*
* @param OpenAImessages An array of ChatCompletionMessageParam objects representing the messages for chat completion.
* @param message An optional RequestMessage object representing the request message, used for logging.
* @returns A Promise that resolves to the answer from the chat completion process.
*/
async function executeChatCompletion(
OpenAImessages: ChatCompletionMessageParam[],
message: RequestMessage | undefined,
) {
let generatedMessage: ChatCompletionMessage | undefined = undefined;
let answer: Awaited<ReturnType<typeof openai.chat.completions.create>>;
let functionRanCounter = 0;
do {
answer = await openai.chat.completions.create({
...config.chatCompletionParams,
messages: OpenAImessages,
// FIXME: don't use new instance of FunctionManager
tools: new FunctionManager().getToolsForOpenAi(),
});
functionRanCounter += answer.choices[0].message?.tool_calls?.length ?? 0;
logUsedTokens(answer, message, ++functionRanCounter);
generatedMessage = answer.choices[0].message;
if (!generatedMessage) throw new Error("Empty message received");
// handle tool calls
if (generatedMessage.tool_calls !== undefined && generatedMessage.tool_calls.length > 0) {
OpenAImessages.push(generatedMessage);
// FIXME: don't use new instance of FunctionManager
OpenAImessages.push(...(await new FunctionManager().handleToolCalls(generatedMessage.tool_calls)));
}
} while (generatedMessage.tool_calls !== undefined && generatedMessage.tool_calls.length > 0);
return answer;
}