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import OpenAI from "openai";
import { MAX_TOKENS, RESPONSE_LENGTH } from "./logic/constants";
import type { AIModelAPI, ChatMessage, InputToken, OChoice } from "./types";
import type { AsyncRes } from "sortug";
import type {
ResponseCreateParamsBase,
ResponseCreateParamsNonStreaming,
ResponseCreateParamsStreaming,
ResponseInput,
} from "openai/resources/responses/responses.mjs";
type Props = {
baseURL: string;
apiKey: string;
model?: string;
maxTokens?: number;
tokenizer?: (text: string) => number;
};
export default class OpenAIAPI implements AIModelAPI {
private apiKey;
private baseURL;
private api;
maxTokens: number = MAX_TOKENS;
tokenizer: (text: string) => number = (text) => text.length / 3;
model;
constructor(props: Props) {
this.apiKey = props.apiKey;
this.baseURL = props.baseURL;
this.api = new OpenAI({ baseURL: this.baseURL, apiKey: this.apiKey });
this.model = props.model || "";
if (props.maxTokens) this.maxTokens = props.maxTokens;
if (props.tokenizer) this.tokenizer = props.tokenizer;
}
public setModel(model: string) {
this.model = model;
}
public buildInput(tokens: InputToken[]): ResponseInput {
return [
{
role: "user",
content: tokens.map((t) =>
"text" in t
? { type: "input_text", text: t.text }
: "img" in t
? { type: "input_image", image_url: t.img, detail: "auto" }
: { type: "input_text", text: "oy vey" },
),
},
];
}
// OpenAI SDK has three kinds ReponseInputContent: text image and file
// images can be URLs or base64 dataurl thingies
//
public async send(
input: string | ResponseInput,
sys?: string,
): AsyncRes<string> {
const params = sys ? { instructions: sys, input } : { input };
const res = await this.apiCall(params);
if ("error" in res) return res;
else {
try {
return { ok: res.ok.output_text };
} catch (e) {
return { error: `${e}` };
}
}
}
public async stream(
input: string,
handle: (c: string) => void,
sys?: string,
) {
const params = sys ? { instructions: sys, input } : { input };
await this.apiCallStream(params, handle);
}
// TODO custom temperature?
private async apiCall(
params: ResponseCreateParamsNonStreaming,
): AsyncRes<OpenAI.Responses.Response> {
try {
const res = await this.api.responses.create({
...params,
// temperature: 1.3,
model: params.model || this.model,
input: params.input,
max_output_tokens: params.max_output_tokens || RESPONSE_LENGTH,
stream: false,
});
// TODO damn there's a lot of stuff here
return { ok: res };
} catch (e) {
console.log(e, "error in openai api");
return { error: `${e}` };
}
}
private async apiCallStream(
params: ResponseCreateParamsBase,
handler: (c: string) => void,
) {
// temperature: 1.3,
const pms: ResponseCreateParamsStreaming = {
...params,
stream: true,
model: params.model || this.model,
input: params.input,
max_output_tokens: params.max_output_tokens || RESPONSE_LENGTH,
};
try {
const stream = await this.api.responses.create(pms);
for await (const event of stream) {
console.log(event);
switch (event.type) {
// TODO deal with audio and whatever
case "response.output_text.delta":
handler(event.delta);
break;
case "response.completed":
break;
default:
break;
}
// if (event.type === "response.completed")
// wtf how do we use this
}
} catch (e) {
console.log(e, "error in openai api");
return { error: `${e}` };
}
}
// private async apiCallStream(
// messages: Message[],
// handle: (c: string) => void,
// ): Promise<void> {
// try {
// const stream = await this.api.chat.completions.create({
// temperature: 1.3,
// model: this.model,
// messages,
// max_tokens: RESPONSE_LENGTH,
// stream: true,
// });
// for await (const chunk of stream) {
// for (const choice of chunk.choices) {
// console.log({ choice });
// if (!choice.delta) continue;
// const cont = choice.delta.content;
// if (!cont) continue;
// handle(cont);
// }
// }
// } catch (e) {
// console.log(e, "error in openai api");
// handle(`Error streaming OpenAI, ${e}`);
// }
// }
}
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