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fix(config.ts): add optional config parameter to [CONFIG_KEYS.OCO_ MODEL] validator to allow for dynamic model selection based on configuration (#337)
feat(engine/ollama.ts): integrate with config command to load OCO_MODEL from configuration and use it as the default AI engine model
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@@ -180,10 +180,10 @@ export const configValidators = {
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return value;
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},
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[CONFIG_KEYS.OCO_MODEL](value: any) {
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[CONFIG_KEYS.OCO_MODEL](value: any, config: any = {}) {
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validateConfig(
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CONFIG_KEYS.OCO_MODEL,
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[...MODEL_LIST.openai, ...MODEL_LIST.anthropic].includes(value),
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[...MODEL_LIST.openai, ...MODEL_LIST.anthropic].includes(value) || config.OCO_AI_PROVIDER == 'ollama' || config.OCO_AI_PROVIDER == 'test',
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`${value} is not supported yet, use 'gpt-4', 'gpt-4-turbo', 'gpt-3.5-turbo' (default), 'gpt-3.5-turbo-0125', 'gpt-4-1106-preview', 'gpt-4-turbo-preview', 'gpt-4-0125-preview', 'claude-3-opus-20240229', 'claude-3-sonnet-20240229' or 'claude-3-haiku-20240307'`
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);
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return value;
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@@ -2,11 +2,17 @@ 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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import {
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getConfig
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} from '../commands/config';
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const config = getConfig();
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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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const model = config?.OCO_MODEL || 'mistral';
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//console.log(messages);
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//process.exit()
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