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Refactor chat Completion functions for model handling #21

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Refactor chat Completion functions for model handling #21

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85 changes: 49 additions & 36 deletions backend/src/utils/openai/config.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -2,100 +2,113 @@ import OpenAI from "openai";
import { HistoryData } from "../../services/copilot.services";
import getSecrets from "../getSecrets";

function mask(s?: string) {
return s ? s.slice(0, 6) + "..." : s;
}

function assertModelLooksRight(label: string, model?: string) {
if (!model) throw new Error(`${label} is empty`);
if (model.startsWith("sk-")) {
throw new Error(`${label} looks like an API key. Check your env or getSecrets mapping`);
}
}

export const chatCompletion = async ({
history = [],
model = "gpt-4",
model, // optional override
format = "json",
}: {
history: HistoryData[];
model: string;
model?: string;
format?: string;
}) => {
try {


const MODEL_API_KEY_LARGE = await getSecrets("MODEL_API_KEY_LARGE");
const LLM_MODEL = await getSecrets("MODEL_LARGE");
const LLM_MODEL_FROM_SECRETS = await getSecrets("MODEL_LARGE"); // ex: gpt-4o
const MODEL_BASE_PATH_LARGE = await getSecrets("MODEL_BASE_PATH_LARGE");

const resolvedModel = model ?? LLM_MODEL_FROM_SECRETS;
assertModelLooksRight("MODEL_LARGE", resolvedModel);

const openai = new OpenAI({
apiKey: MODEL_API_KEY_LARGE,
baseURL: MODEL_BASE_PATH_LARGE || undefined,
});

if (MODEL_BASE_PATH_LARGE) {
openai.baseURL = MODEL_BASE_PATH_LARGE;
}

const completionConfig: any = {
model: LLM_MODEL,
model: resolvedModel,
messages: history,
temperature: 0.75,
// omit temperature when using strict JSON output to avoid model constraints
};

if (format === "json") {
completionConfig.response_format = { type: "json_object" };
} else {
completionConfig.temperature = 0.7;
}

console.log("completionConfig", completionConfig)
console.log("completionConfig", {
model: completionConfig.model,
baseURL: MODEL_BASE_PATH_LARGE,
apiKey: mask(MODEL_API_KEY_LARGE),
format,
});

const response = await openai.chat.completions.create(completionConfig);

const content = response.choices[0].message.content;

console.log("response", content)
const content = response.choices[0]?.message?.content ?? "";
const usage = response.usage;

return {
content,
usage,
};
return { content, usage };
} catch (error) {
console.log(error);
}
};

export const chatCompletion3 = async ({
history = [],
model = "gpt-3.5-turbo-1106",
model,
format = "json",
}: {
history: HistoryData[];
model: string;
model?: string;
format?: string;
}) => {
try {

const MODEL_API_KEY_SMALL = await getSecrets("MODEL_API_KEY_SMALL");
const MODEL_SMALL = await getSecrets("MODEL_API_KEY");
const MODEL_SMALL_FROM_SECRETS = await getSecrets("MODEL_SMALL"); // fixed here
const MODEL_BASE_PATH_SMALL = await getSecrets("MODEL_BASE_PATH_SMALL");

const resolvedModel = model ?? MODEL_SMALL_FROM_SECRETS;
assertModelLooksRight("MODEL_SMALL", resolvedModel);

const openai = new OpenAI({
apiKey: MODEL_API_KEY_SMALL,
baseURL: MODEL_BASE_PATH_SMALL || undefined,
});

if (MODEL_BASE_PATH_SMALL) {
openai.baseURL = MODEL_BASE_PATH_SMALL;
}

const completionConfig: any = {
model: MODEL_SMALL,
model: resolvedModel,
messages: history,
temperature: 0.75,
};

if (format === "json") {
completionConfig.response_format = { type: "json_object" };
} else {
completionConfig.temperature = 0.7;
}

const response = await openai.chat.completions.create(completionConfig);
console.log("completionConfig3", {
model: completionConfig.model,
baseURL: MODEL_BASE_PATH_SMALL,
apiKey: mask(MODEL_API_KEY_SMALL),
format,
});

const content = response.choices[0].message.content;
const response = await openai.chat.completions.create(completionConfig);
const content = response.choices[0]?.message?.content ?? "";
const usage = response.usage;

return {
content,
usage,
};
return { content, usage };
} catch (error) {
console.log(error);
}
Expand Down