add ollama support (#269)
* add ollama support --------- Co-authored-by: di-sukharev <dim.sukharev@gmail.com> Co-authored-by: GPT10 <57486732+di-sukharev@users.noreply.github.com> Co-authored-by: Jaroslaw Weber <jaroslaw.weber@adriel.com>
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@@ -0,0 +1,7 @@
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import { ChatCompletionRequestMessage } from 'openai';
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export interface AiEngine {
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generateCommitMessage(
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messages: Array<ChatCompletionRequestMessage>
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): Promise<string | undefined>;
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}
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@@ -0,0 +1,36 @@
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import axios, { AxiosError } from 'axios';
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import { ChatCompletionRequestMessage } from 'openai';
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import { AiEngine } from './Engine';
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export class OllamaAi implements AiEngine {
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async generateCommitMessage(
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messages: Array<ChatCompletionRequestMessage>
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): Promise<string | undefined> {
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const model = 'mistral'; // todo: allow other models
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let prompt = messages.map((x) => x.content).join('\n');
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//hoftix: local models are not so clever so im changing the prompt a bit...
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prompt += 'Summarize above git diff in 10 words or less';
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const url = 'http://localhost:11434/api/generate';
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const p = {
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model,
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prompt,
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stream: false
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};
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try {
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const response = await axios.post(url, p, {
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headers: {
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'Content-Type': 'application/json'
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}
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});
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const answer = response.data?.response;
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return answer;
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} catch (err: any) {
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const message = err.response?.data?.error ?? err.message;
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throw new Error('local model issues. details: ' + message);
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}
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}
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}
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export const ollamaAi = new OllamaAi();
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@@ -0,0 +1,109 @@
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import axios from 'axios';
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import chalk from 'chalk';
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import { execa } from 'execa';
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import {
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ChatCompletionRequestMessage,
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Configuration as OpenAiApiConfiguration,
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OpenAIApi
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} from 'openai';
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import { intro, outro } from '@clack/prompts';
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import {
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CONFIG_MODES,
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DEFAULT_MODEL_TOKEN_LIMIT,
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getConfig
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} from '../commands/config';
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import { GenerateCommitMessageErrorEnum } from '../generateCommitMessageFromGitDiff';
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import { tokenCount } from '../utils/tokenCount';
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import { AiEngine } from './Engine';
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const config = getConfig();
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let maxTokens = config?.OCO_OPENAI_MAX_TOKENS;
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let basePath = config?.OCO_OPENAI_BASE_PATH;
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let apiKey = config?.OCO_OPENAI_API_KEY
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const [command, mode] = process.argv.slice(2);
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const isLocalModel = config?.OCO_AI_PROVIDER == 'ollama'
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if (!apiKey && command !== 'config' && mode !== CONFIG_MODES.set && !isLocalModel) {
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intro('opencommit');
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outro(
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'OCO_OPENAI_API_KEY is not set, please run `oco config set OCO_OPENAI_API_KEY=<your token> . If you are using GPT, make sure you add payment details, so API works.`'
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);
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outro(
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'For help look into README https://github.com/di-sukharev/opencommit#setup'
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);
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process.exit(1);
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}
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const MODEL = config?.OCO_MODEL || 'gpt-3.5-turbo';
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class OpenAi implements AiEngine {
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private openAiApiConfiguration = new OpenAiApiConfiguration({
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apiKey: apiKey
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});
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private openAI!: OpenAIApi;
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constructor() {
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if (basePath) {
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this.openAiApiConfiguration.basePath = basePath;
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}
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this.openAI = new OpenAIApi(this.openAiApiConfiguration);
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}
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public generateCommitMessage = async (
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messages: Array<ChatCompletionRequestMessage>
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): Promise<string | undefined> => {
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const params = {
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model: MODEL,
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messages,
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temperature: 0,
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top_p: 0.1,
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max_tokens: maxTokens || 500
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};
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try {
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const REQUEST_TOKENS = messages
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.map((msg) => tokenCount(msg.content) + 4)
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.reduce((a, b) => a + b, 0);
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if (REQUEST_TOKENS > DEFAULT_MODEL_TOKEN_LIMIT - maxTokens) {
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throw new Error(GenerateCommitMessageErrorEnum.tooMuchTokens);
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}
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const { data } = await this.openAI.createChatCompletion(params);
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const message = data.choices[0].message;
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return message?.content;
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} catch (error) {
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outro(`${chalk.red('✖')} ${JSON.stringify(params)}`);
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const err = error as Error;
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outro(`${chalk.red('✖')} ${err?.message || err}`);
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if (
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axios.isAxiosError<{ error?: { message: string } }>(error) &&
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error.response?.status === 401
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) {
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const openAiError = error.response.data.error;
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if (openAiError?.message) outro(openAiError.message);
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outro(
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'For help look into README https://github.com/di-sukharev/opencommit#setup'
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);
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}
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throw err;
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}
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};
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}
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export const api = new OpenAi();
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