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index.ts
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index.ts
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import Handlebars from "handlebars";
import {
BaseCompletionOptions,
ILLM,
LLMOptions,
ModelDescription,
} from "../../index.js";
import { IdeSettings } from "../../protocol.js";
import { DEFAULT_MAX_TOKENS } from "../constants.js";
import { BaseLLM } from "../index.js";
import Anthropic from "./Anthropic.js";
import Bedrock from "./Bedrock.js";
import Cohere from "./Cohere.js";
import DeepInfra from "./DeepInfra.js";
import Flowise from "./Flowise.js";
import FreeTrial from "./FreeTrial.js";
import Gemini from "./Gemini.js";
import Groq from "./Groq.js";
import HuggingFaceInferenceAPI from "./HuggingFaceInferenceAPI.js";
import HuggingFaceTGI from "./HuggingFaceTGI.js";
import LMStudio from "./LMStudio.js";
import LlamaCpp from "./LlamaCpp.js";
import Llamafile from "./Llamafile.js";
import Mistral from "./Mistral.js";
import Ollama from "./Ollama.js";
import OpenAI from "./OpenAI.js";
import OpenAIFreeTrial from "./OpenAIFreeTrial.js";
import Replicate from "./Replicate.js";
import TextGenWebUI from "./TextGenWebUI.js";
import Together from "./Together.js";
import ContinueProxy from "./stubs/ContinueProxy.js";
function convertToLetter(num: number): string {
let result = "";
while (num > 0) {
const remainder = (num - 1) % 26;
result = String.fromCharCode(97 + remainder) + result;
num = Math.floor((num - 1) / 26);
}
return result;
}
const getHandlebarsVars = (
value: string,
): [string, { [key: string]: string }] => {
const ast = Handlebars.parse(value);
let keysToFilepath: { [key: string]: string } = {};
let keyIndex = 1;
for (let i in ast.body) {
if (ast.body[i].type === "MustacheStatement") {
const letter = convertToLetter(keyIndex);
keysToFilepath[letter] = (ast.body[i] as any).path.original;
value = value.replace(
new RegExp("{{\\s*" + (ast.body[i] as any).path.original + "\\s*}}"),
`{{${letter}}}`,
);
keyIndex++;
}
}
return [value, keysToFilepath];
};
export async function renderTemplatedString(
template: string,
readFile: (filepath: string) => Promise<string>,
inputData: any,
): Promise<string> {
const [newTemplate, vars] = getHandlebarsVars(template);
const data: any = { ...inputData };
for (const key in vars) {
const fileContents = await readFile(vars[key]);
data[key] = fileContents || (inputData[vars[key]] ?? vars[key]);
}
const templateFn = Handlebars.compile(newTemplate);
const final = templateFn(data);
return final;
}
const LLMs = [
Anthropic,
Cohere,
FreeTrial,
Gemini,
Llamafile,
Ollama,
Replicate,
TextGenWebUI,
Together,
HuggingFaceTGI,
HuggingFaceInferenceAPI,
LlamaCpp,
OpenAI,
LMStudio,
Mistral,
Bedrock,
DeepInfra,
OpenAIFreeTrial,
Flowise,
Groq,
ContinueProxy,
];
export async function llmFromDescription(
desc: ModelDescription,
readFile: (filepath: string) => Promise<string>,
uniqueId: string,
ideSettings: IdeSettings,
writeLog: (log: string) => Promise<void>,
completionOptions?: BaseCompletionOptions,
systemMessage?: string,
): Promise<BaseLLM | undefined> {
const cls = LLMs.find((llm) => llm.providerName === desc.provider);
if (!cls) {
return undefined;
}
const finalCompletionOptions = {
...completionOptions,
...desc.completionOptions,
};
systemMessage = desc.systemMessage ?? systemMessage;
if (systemMessage !== undefined) {
systemMessage = await renderTemplatedString(systemMessage, readFile, {});
}
let options: LLMOptions = {
...desc,
completionOptions: {
...finalCompletionOptions,
model: (desc.model || cls.defaultOptions?.model) ?? "codellama-7b",
maxTokens:
finalCompletionOptions.maxTokens ??
cls.defaultOptions?.completionOptions?.maxTokens ??
DEFAULT_MAX_TOKENS,
},
systemMessage,
writeLog,
uniqueId,
};
if (desc.provider === "continue-proxy") {
options.apiKey = ideSettings.userToken;
if (ideSettings.remoteConfigServerUrl) {
options.apiBase = new URL(
"/proxy/v1",
ideSettings.remoteConfigServerUrl,
).toString();
}
}
return new cls(options);
}
export function llmFromProviderAndOptions(
providerName: string,
llmOptions: LLMOptions,
): ILLM {
const cls = LLMs.find((llm) => llm.providerName === providerName);
if (!cls) {
throw new Error(`Unknown LLM provider type "${providerName}"`);
}
return new cls(llmOptions);
}