1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
|
import OpenAI from "openai";
import { MAX_TOKENS, RESPONSE_LENGTH } from "./logic/constants";
import type { AIModelAPI, ChatMessage, InputToken } from "./types";
import type { AsyncRes } from "sortug";
import type {
ResponseContent,
ResponseInput,
ResponseInputContent,
ResponseInputItem,
ResponseOutputItem,
ResponseOutputMessage,
} from "openai/resources/responses/responses";
import type { ResponseCreateAndStreamParams } from "openai/lib/responses/ResponseStream";
type Props = {
baseURL: string;
apiKey: string;
model?: string;
maxTokens?: number;
tokenizer?: (text: string) => number;
allowBrowser?: boolean;
};
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,
dangerouslyAllowBrowser: props.allowBrowser || false,
});
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;
}
// response input items are text, image, file, conversation state or function cals
private buildInput(tokens: InputToken[]): ResponseInputItem[] {
const content: ResponseInputContent[] = tokens.map((t) => {
if ("text" in t) return { type: "input_text" as const, text: t.text };
// image_url or file_id
else if ("img" in t)
return {
type: "input_image" as const,
image_url: t.img,
detail: "auto",
};
// file_data or file_id or file_url or filename
else if ("file" in t)
return { type: "input_file" as const, file_data: t.file.file_data };
// TODO obviously
else return { type: "input_text" as const, text: "oy vey" };
});
// role can be user, developer, or system
return [{ role: "user" as const, content }];
}
public async send(
userInput: string | InputToken[],
sys?: string,
): AsyncRes<string> {
const input: string | ResponseInput =
typeof userInput === "string" ? userInput : this.buildInput(userInput);
// const messages = this.mapMessages(input);
const res = await this.apiCall({ instructions: sys, input });
if ("error" in res) return res;
else {
try {
// TODO type this properly
const resText = res.ok.reduce((acc, item) => {
if (item.type === "message" && item.status === "completed") {
const outputText = this.getOutputText(item.content);
return `${acc}\n${outputText}`;
}
// TODO else
return acc;
}, "");
return { ok: resText };
} catch (e) {
return { error: `${e}` };
}
}
}
getOutputText(content: ResponseOutputMessage["content"]): string {
let text = "";
for (const c of content) {
if (c.type === "refusal") text += `\nRefused to respond: ${c.refusal}\n`;
else text += `\n${c.text}\n`;
}
return text;
}
public async stream(
userInput: string | InputToken[],
handle: (c: string) => void,
sys?: string,
) {
const input: string | ResponseInput =
typeof userInput === "string" ? userInput : this.buildInput(userInput);
await this.apiCallStream({ instructions: sys, input }, handle);
}
// TODO custom temperature?dune exec -- ./test/test_nock.exe --verbose
private async apiCall(
params: OpenAI.Responses.ResponseCreateParamsNonStreaming,
): AsyncRes<ResponseOutputItem[]> {
// console.log({ messages }, "at the very end");
try {
const response = await this.api.responses.create({
...params,
model: this.model,
// max_output_tokens: RESPONSE_LENGTH,
});
if (response.status !== "completed")
return {
error:
response.incomplete_details?.reason || response.status || "error",
};
return { ok: response.output };
} catch (e) {
console.log(e, "error in openai api");
return { error: `${e}` };
}
}
private async apiCallStream(
params: ResponseCreateAndStreamParams,
handle: (c: string) => void,
): Promise<void> {
try {
const stream = await this.api.responses.create({
// temperature: 1.3,
...params,
stream: true,
model: this.model,
max_output_tokens: RESPONSE_LENGTH,
});
for await (const chunk of stream) {
console.log("stream reponse", chunk);
if (chunk.type === "response.output_text.done") handle(chunk.text);
// TODO else
}
} catch (e) {
console.log(e, "error in openai api");
// TODO
// handle(`Error streaming OpenAI, ${e}`);
}
}
}
|
