From 42dd99bfac9777a4ecc6700b87edf26a5c984de6 Mon Sep 17 00:00:00 2001
From: polwex <polwex@sortug.com>
Date: Wed, 23 Jul 2025 02:37:15 +0700
Subject: checkpoint

---
 src/generic.ts | 128 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 128 insertions(+)
 create mode 100644 src/generic.ts

(limited to 'src/generic.ts')

diff --git a/src/generic.ts b/src/generic.ts
new file mode 100644
index 0000000..50c4435
--- /dev/null
+++ b/src/generic.ts
@@ -0,0 +1,128 @@
+import OpenAI from "openai";
+import { MAX_TOKENS, RESPONSE_LENGTH } from "./logic/constants";
+import type { AIModelAPI, ChatMessage, OChoice } from "./types";
+import type { AsyncRes } from "sortug";
+
+type Message = OpenAI.Chat.Completions.ChatCompletionMessageParam;
+
+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;
+  }
+  private mapMessages(input: ChatMessage[]): Message[] {
+    return input.map((m) => {
+      return { role: m.author as any, content: m.text, name: m.author };
+    });
+  }
+
+  public async send(sys: string, input: ChatMessage[]): AsyncRes<string[]> {
+    const messages = this.mapMessages(input);
+    const sysMsg: Message = { role: "system", content: sys };
+    const allMessages = [sysMsg, ...messages];
+    console.log("before truncation", allMessages);
+    const truncated = this.truncateHistory(allMessages);
+    const res = await this.apiCall(truncated);
+    if ("error" in res) return res;
+    else {
+      try {
+        // TODO type this properly
+        const choices: OChoice[] = res.ok;
+        return { ok: choices.map((c) => c.message.content!) };
+      } catch (e) {
+        return { error: `${e}` };
+      }
+    }
+  }
+
+  public async stream(
+    sys: string,
+    input: ChatMessage[],
+    handle: (c: string) => void,
+  ) {
+    const messages = this.mapMessages(input);
+    const sysMsg: Message = { role: "system", content: sys };
+    const allMessages = [sysMsg, ...messages];
+    const truncated = this.truncateHistory(allMessages);
+    await this.apiCallStream(truncated, handle);
+  }
+
+  private truncateHistory(messages: Message[]): Message[] {
+    const totalTokens = messages.reduce((total, message) => {
+      return total + this.tokenizer(message.content as string);
+    }, 0);
+    while (totalTokens > this.maxTokens && messages.length > 1) {
+      // Always keep the system message if it exists
+      const startIndex = messages[0].role === "system" ? 1 : 0;
+      messages.splice(startIndex, 1);
+    }
+    return messages;
+  }
+
+  // TODO custom temperature?
+  private async apiCall(messages: Message[]): AsyncRes<OChoice[]> {
+    console.log({ messages }, "at the very end");
+    try {
+      const completion = await this.api.chat.completions.create({
+        temperature: 1.3,
+        model: this.model,
+        messages,
+        max_tokens: RESPONSE_LENGTH,
+      });
+      if (!completion) return { error: "null response from openai" };
+      return { ok: completion.choices };
+    } catch (e) {
+      console.log(e, "error in openai api");
+      return { error: `${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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