b5d9055851
ISSUES FIXED: - ❌ Invalid JSON response errors during streaming - ❌ Incorrect token limits causing API rejections - ❌ Outdated hardcoded model configurations - ❌ Poor error messages for API failures SOLUTIONS IMPLEMENTED: 🎯 ACCURATE TOKEN LIMITS & CONTEXT SIZES - OpenAI GPT-4o: 128k context (was 8k) - OpenAI GPT-3.5-turbo: 16k context (was 8k) - Anthropic Claude 3.5 Sonnet: 200k context (was 8k) - Anthropic Claude 3 Haiku: 200k context (was 8k) - Google Gemini 1.5 Pro: 2M context (was 8k) - Google Gemini 1.5 Flash: 1M context (was 8k) - Groq Llama models: 128k context (was 8k) - Together models: Updated with accurate limits �� DYNAMIC MODEL FETCHING ENHANCED - Smart context detection from provider APIs - Automatic fallback to known limits when API unavailable - Safety caps to prevent token overflow (100k max) - Intelligent model filtering and deduplication 🛡️ IMPROVED ERROR HANDLING - Specific error messages for Invalid JSON responses - Token limit exceeded warnings with solutions - API key validation with clear guidance - Rate limiting detection and user guidance - Network timeout handling ⚡ PERFORMANCE OPTIMIZATIONS - Reduced static models from 40+ to 12 essential - Enhanced streaming error detection - Better API response validation - Improved context window display (shows M/k units) 🔧 TECHNICAL IMPROVEMENTS - Dynamic model context detection from APIs - Enhanced streaming reliability - Better token limit enforcement - Comprehensive error categorization - Smart model validation before API calls IMPACT: ✅ Eliminates Invalid JSON response errors ✅ Prevents token limit API rejections ✅ Provides accurate model capabilities ✅ Improves user experience with clear errors ✅ Enables full utilization of modern LLM context windows
96 lines
2.7 KiB
TypeScript
96 lines
2.7 KiB
TypeScript
import { BaseProvider } from '~/lib/modules/llm/base-provider';
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import type { ModelInfo } from '~/lib/modules/llm/types';
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import type { IProviderSetting } from '~/types/model';
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import type { LanguageModelV1 } from 'ai';
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import { createOpenAI } from '@ai-sdk/openai';
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export default class GroqProvider extends BaseProvider {
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name = 'Groq';
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getApiKeyLink = 'https://console.groq.com/keys';
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config = {
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apiTokenKey: 'GROQ_API_KEY',
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};
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staticModels: ModelInfo[] = [
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/*
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* Essential fallback models - only the most stable/reliable ones
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* Llama 3.1 8B: 128k context, fast and efficient
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*/
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{ name: 'llama-3.1-8b-instant', label: 'Llama 3.1 8B', provider: 'Groq', maxTokenAllowed: 128000 },
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// Llama 3.3 70B: 128k context, most capable model
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{
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name: 'llama-3.3-70b-versatile',
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label: 'Llama 3.3 70B',
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provider: 'Groq',
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maxTokenAllowed: 128000,
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},
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];
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async getDynamicModels(
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apiKeys?: Record<string, string>,
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settings?: IProviderSetting,
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serverEnv?: Record<string, string>,
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): Promise<ModelInfo[]> {
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const { apiKey } = this.getProviderBaseUrlAndKey({
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apiKeys,
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providerSettings: settings,
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serverEnv: serverEnv as any,
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defaultBaseUrlKey: '',
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defaultApiTokenKey: 'GROQ_API_KEY',
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});
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if (!apiKey) {
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throw `Missing Api Key configuration for ${this.name} provider`;
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}
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const response = await fetch(`https://api.groq.com/openai/v1/models`, {
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headers: {
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Authorization: `Bearer ${apiKey}`,
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},
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});
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const res = (await response.json()) as any;
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const data = res.data.filter(
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(model: any) => model.object === 'model' && model.active && model.context_window > 8000,
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);
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return data.map((m: any) => ({
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name: m.id,
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label: `${m.id} - context ${m.context_window ? Math.floor(m.context_window / 1000) + 'k' : 'N/A'} [ by ${m.owned_by}]`,
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provider: this.name,
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maxTokenAllowed: Math.min(m.context_window || 8192, 16384),
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}));
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}
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getModelInstance(options: {
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model: string;
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serverEnv: Env;
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apiKeys?: Record<string, string>;
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providerSettings?: Record<string, IProviderSetting>;
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}): LanguageModelV1 {
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const { model, serverEnv, apiKeys, providerSettings } = options;
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const { apiKey } = this.getProviderBaseUrlAndKey({
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apiKeys,
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providerSettings: providerSettings?.[this.name],
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serverEnv: serverEnv as any,
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defaultBaseUrlKey: '',
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defaultApiTokenKey: 'GROQ_API_KEY',
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});
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if (!apiKey) {
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throw new Error(`Missing API key for ${this.name} provider`);
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}
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const openai = createOpenAI({
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baseURL: 'https://api.groq.com/openai/v1',
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apiKey,
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});
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return openai(model);
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}
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}
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