🔧 Fix Token Limits & Invalid JSON Response Errors (#1934)
ISSUES FIXED: - ❌ Invalid JSON response errors during streaming - ❌ Incorrect token limits causing API rejections - ❌ Outdated hardcoded model configurations - ❌ Poor error messages for API failures SOLUTIONS IMPLEMENTED: 🎯 ACCURATE TOKEN LIMITS & CONTEXT SIZES - OpenAI GPT-4o: 128k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
This commit is contained in:
@@ -13,33 +13,24 @@ export default class AnthropicProvider extends BaseProvider {
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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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* Claude 3.5 Sonnet: 200k context, excellent for complex reasoning and coding
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*/
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{
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name: 'claude-3-7-sonnet-20250219',
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label: 'Claude 3.7 Sonnet',
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name: 'claude-3-5-sonnet-20241022',
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label: 'Claude 3.5 Sonnet',
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provider: 'Anthropic',
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maxTokenAllowed: 128000,
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maxTokenAllowed: 200000,
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},
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// Claude 3 Haiku: 200k context, fastest and most cost-effective
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{
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name: 'claude-3-5-sonnet-latest',
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label: 'Claude 3.5 Sonnet (new)',
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name: 'claude-3-haiku-20240307',
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label: 'Claude 3 Haiku',
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provider: 'Anthropic',
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maxTokenAllowed: 8000,
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maxTokenAllowed: 200000,
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},
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{
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name: 'claude-3-5-sonnet-20240620',
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label: 'Claude 3.5 Sonnet (old)',
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provider: 'Anthropic',
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maxTokenAllowed: 8000,
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},
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{
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name: 'claude-3-5-haiku-latest',
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label: 'Claude 3.5 Haiku (new)',
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provider: 'Anthropic',
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maxTokenAllowed: 8000,
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},
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{ name: 'claude-3-opus-latest', label: 'Claude 3 Opus', provider: 'Anthropic', maxTokenAllowed: 8000 },
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{ name: 'claude-3-sonnet-20240229', label: 'Claude 3 Sonnet', provider: 'Anthropic', maxTokenAllowed: 8000 },
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{ name: 'claude-3-haiku-20240307', label: 'Claude 3 Haiku', provider: 'Anthropic', maxTokenAllowed: 8000 },
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];
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async getDynamicModels(
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@@ -71,12 +62,30 @@ export default class AnthropicProvider extends BaseProvider {
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const data = res.data.filter((model: any) => model.type === 'model' && !staticModelIds.includes(model.id));
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return data.map((m: any) => ({
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name: m.id,
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label: `${m.display_name}`,
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provider: this.name,
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maxTokenAllowed: 32000,
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}));
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return data.map((m: any) => {
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// Get accurate context window from Anthropic API
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let contextWindow = 32000; // default fallback
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// Anthropic provides max_tokens in their API response
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if (m.max_tokens) {
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contextWindow = m.max_tokens;
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} else if (m.id?.includes('claude-3-5-sonnet')) {
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contextWindow = 200000; // Claude 3.5 Sonnet has 200k context
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} else if (m.id?.includes('claude-3-haiku')) {
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contextWindow = 200000; // Claude 3 Haiku has 200k context
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} else if (m.id?.includes('claude-3-opus')) {
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contextWindow = 200000; // Claude 3 Opus has 200k context
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} else if (m.id?.includes('claude-3-sonnet')) {
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contextWindow = 200000; // Claude 3 Sonnet has 200k context
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}
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return {
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name: m.id,
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label: `${m.display_name} (${Math.floor(contextWindow / 1000)}k context)`,
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provider: this.name,
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maxTokenAllowed: contextWindow,
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};
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});
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}
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getModelInstance: (options: {
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@@ -13,19 +13,14 @@ export default class GoogleProvider extends BaseProvider {
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};
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staticModels: ModelInfo[] = [
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{ name: 'gemini-1.5-flash-latest', label: 'Gemini 1.5 Flash', provider: 'Google', maxTokenAllowed: 8192 },
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{
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name: 'gemini-2.0-flash-thinking-exp-01-21',
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label: 'Gemini 2.0 Flash-thinking-exp-01-21',
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provider: 'Google',
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maxTokenAllowed: 65536,
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},
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{ name: 'gemini-2.0-flash-exp', label: 'Gemini 2.0 Flash', provider: 'Google', maxTokenAllowed: 8192 },
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{ name: 'gemini-1.5-flash-002', label: 'Gemini 1.5 Flash-002', provider: 'Google', maxTokenAllowed: 8192 },
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{ name: 'gemini-1.5-flash-8b', label: 'Gemini 1.5 Flash-8b', provider: 'Google', maxTokenAllowed: 8192 },
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{ name: 'gemini-1.5-pro-latest', label: 'Gemini 1.5 Pro', provider: 'Google', maxTokenAllowed: 8192 },
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{ name: 'gemini-1.5-pro-002', label: 'Gemini 1.5 Pro-002', provider: 'Google', maxTokenAllowed: 8192 },
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{ name: 'gemini-exp-1206', label: 'Gemini exp-1206', provider: 'Google', maxTokenAllowed: 8192 },
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/*
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* Essential fallback models - only the most reliable/stable ones
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* Gemini 1.5 Pro: 2M context, excellent for complex reasoning and large codebases
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*/
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{ name: 'gemini-1.5-pro', label: 'Gemini 1.5 Pro', provider: 'Google', maxTokenAllowed: 2000000 },
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// Gemini 1.5 Flash: 1M context, fast and cost-effective
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{ name: 'gemini-1.5-flash', label: 'Gemini 1.5 Flash', provider: 'Google', maxTokenAllowed: 1000000 },
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];
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async getDynamicModels(
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@@ -51,16 +46,56 @@ export default class GoogleProvider extends BaseProvider {
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},
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});
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if (!response.ok) {
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throw new Error(`Failed to fetch models from Google API: ${response.status} ${response.statusText}`);
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}
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const res = (await response.json()) as any;
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const data = res.models.filter((model: any) => model.outputTokenLimit > 8000);
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if (!res.models || !Array.isArray(res.models)) {
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throw new Error('Invalid response format from Google API');
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}
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return data.map((m: any) => ({
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name: m.name.replace('models/', ''),
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label: `${m.displayName} - context ${Math.floor((m.inputTokenLimit + m.outputTokenLimit) / 1000) + 'k'}`,
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provider: this.name,
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maxTokenAllowed: m.inputTokenLimit + m.outputTokenLimit || 8000,
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}));
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// Filter out models with very low token limits and experimental/unstable models
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const data = res.models.filter((model: any) => {
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const hasGoodTokenLimit = (model.outputTokenLimit || 0) > 8000;
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const isStable = !model.name.includes('exp') || model.name.includes('flash-exp');
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return hasGoodTokenLimit && isStable;
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});
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return data.map((m: any) => {
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const modelName = m.name.replace('models/', '');
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// Get accurate context window from Google API
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let contextWindow = 32000; // default fallback
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if (m.inputTokenLimit && m.outputTokenLimit) {
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// Use the input limit as the primary context window (typically larger)
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contextWindow = m.inputTokenLimit;
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} else if (modelName.includes('gemini-1.5-pro')) {
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contextWindow = 2000000; // Gemini 1.5 Pro has 2M context
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} else if (modelName.includes('gemini-1.5-flash')) {
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contextWindow = 1000000; // Gemini 1.5 Flash has 1M context
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} else if (modelName.includes('gemini-2.0-flash')) {
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contextWindow = 1000000; // Gemini 2.0 Flash has 1M context
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} else if (modelName.includes('gemini-pro')) {
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contextWindow = 32000; // Gemini Pro has 32k context
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} else if (modelName.includes('gemini-flash')) {
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contextWindow = 32000; // Gemini Flash has 32k context
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}
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// Cap at reasonable limits to prevent issues
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const maxAllowed = 2000000; // 2M tokens max
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const finalContext = Math.min(contextWindow, maxAllowed);
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return {
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name: modelName,
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label: `${m.displayName} (${finalContext >= 1000000 ? Math.floor(finalContext / 1000000) + 'M' : Math.floor(finalContext / 1000) + 'k'} context)`,
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provider: this.name,
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maxTokenAllowed: finalContext,
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};
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});
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}
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getModelInstance(options: {
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@@ -13,17 +13,18 @@ export default class GroqProvider extends BaseProvider {
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};
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staticModels: ModelInfo[] = [
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{ name: 'llama-3.1-8b-instant', label: 'Llama 3.1 8b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
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{ name: 'llama-3.2-11b-vision-preview', label: 'Llama 3.2 11b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
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{ name: 'llama-3.2-90b-vision-preview', label: 'Llama 3.2 90b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
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{ name: 'llama-3.2-3b-preview', label: 'Llama 3.2 3b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
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{ name: 'llama-3.2-1b-preview', label: 'Llama 3.2 1b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
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{ name: 'llama-3.3-70b-versatile', label: 'Llama 3.3 70b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
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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: 'deepseek-r1-distill-llama-70b',
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label: 'Deepseek R1 Distill Llama 70b (Groq)',
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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: 131072,
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maxTokenAllowed: 128000,
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},
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];
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@@ -27,50 +27,24 @@ export default class OpenRouterProvider extends BaseProvider {
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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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* Claude 3.5 Sonnet via OpenRouter: 200k context
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*/
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{
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name: 'anthropic/claude-3.5-sonnet',
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label: 'Anthropic: Claude 3.5 Sonnet (OpenRouter)',
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label: 'Claude 3.5 Sonnet',
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provider: 'OpenRouter',
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maxTokenAllowed: 8000,
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maxTokenAllowed: 200000,
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},
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// GPT-4o via OpenRouter: 128k context
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{
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name: 'anthropic/claude-3-haiku',
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label: 'Anthropic: Claude 3 Haiku (OpenRouter)',
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name: 'openai/gpt-4o',
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label: 'GPT-4o',
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provider: 'OpenRouter',
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maxTokenAllowed: 8000,
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maxTokenAllowed: 128000,
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},
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{
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name: 'deepseek/deepseek-coder',
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label: 'Deepseek-Coder V2 236B (OpenRouter)',
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provider: 'OpenRouter',
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maxTokenAllowed: 8000,
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},
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{
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name: 'google/gemini-flash-1.5',
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label: 'Google Gemini Flash 1.5 (OpenRouter)',
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provider: 'OpenRouter',
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maxTokenAllowed: 8000,
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},
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{
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name: 'google/gemini-pro-1.5',
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label: 'Google Gemini Pro 1.5 (OpenRouter)',
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provider: 'OpenRouter',
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maxTokenAllowed: 8000,
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},
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{ name: 'x-ai/grok-beta', label: 'xAI Grok Beta (OpenRouter)', provider: 'OpenRouter', maxTokenAllowed: 8000 },
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{
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name: 'mistralai/mistral-nemo',
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label: 'OpenRouter Mistral Nemo (OpenRouter)',
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provider: 'OpenRouter',
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maxTokenAllowed: 8000,
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},
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{
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name: 'qwen/qwen-110b-chat',
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label: 'OpenRouter Qwen 110b Chat (OpenRouter)',
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provider: 'OpenRouter',
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maxTokenAllowed: 8000,
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},
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{ name: 'cohere/command', label: 'Cohere Command (OpenRouter)', provider: 'OpenRouter', maxTokenAllowed: 4096 },
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];
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async getDynamicModels(
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@@ -89,12 +63,21 @@ export default class OpenRouterProvider extends BaseProvider {
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return data.data
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.sort((a, b) => a.name.localeCompare(b.name))
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.map((m) => ({
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name: m.id,
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label: `${m.name} - in:$${(m.pricing.prompt * 1_000_000).toFixed(2)} out:$${(m.pricing.completion * 1_000_000).toFixed(2)} - context ${Math.floor(m.context_length / 1000)}k`,
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provider: this.name,
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maxTokenAllowed: 8000,
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}));
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.map((m) => {
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// Get accurate context window from OpenRouter API
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const contextWindow = m.context_length || 32000; // Use API value or fallback
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// Cap at reasonable limits to prevent issues (OpenRouter has some very large models)
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const maxAllowed = 1000000; // 1M tokens max for safety
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const finalContext = Math.min(contextWindow, maxAllowed);
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return {
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name: m.id,
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label: `${m.name} - in:$${(m.pricing.prompt * 1_000_000).toFixed(2)} out:$${(m.pricing.completion * 1_000_000).toFixed(2)} - context ${finalContext >= 1000000 ? Math.floor(finalContext / 1000000) + 'M' : Math.floor(finalContext / 1000) + 'k'}`,
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provider: this.name,
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maxTokenAllowed: finalContext,
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};
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});
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} catch (error) {
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console.error('Error getting OpenRouter models:', error);
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return [];
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@@ -13,11 +13,14 @@ export default class OpenAIProvider extends BaseProvider {
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};
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staticModels: ModelInfo[] = [
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{ name: 'gpt-4o', label: 'GPT-4o', provider: 'OpenAI', maxTokenAllowed: 8000 },
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{ name: 'gpt-4o-mini', label: 'GPT-4o Mini', provider: 'OpenAI', maxTokenAllowed: 8000 },
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{ name: 'gpt-4-turbo', label: 'GPT-4 Turbo', provider: 'OpenAI', maxTokenAllowed: 8000 },
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{ name: 'gpt-4', label: 'GPT-4', provider: 'OpenAI', maxTokenAllowed: 8000 },
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{ name: 'gpt-3.5-turbo', label: 'GPT-3.5 Turbo', provider: 'OpenAI', maxTokenAllowed: 8000 },
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/*
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* Essential fallback models - only the most stable/reliable ones
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* GPT-4o: 128k context, high performance, recommended for most tasks
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*/
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{ name: 'gpt-4o', label: 'GPT-4o', provider: 'OpenAI', maxTokenAllowed: 128000 },
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// GPT-3.5-turbo: 16k context, fast and cost-effective
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{ name: 'gpt-3.5-turbo', label: 'GPT-3.5 Turbo', provider: 'OpenAI', maxTokenAllowed: 16000 },
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];
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async getDynamicModels(
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@@ -53,12 +56,30 @@ export default class OpenAIProvider extends BaseProvider {
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!staticModelIds.includes(model.id),
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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}`,
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provider: this.name,
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maxTokenAllowed: m.context_window || 32000,
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}));
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return data.map((m: any) => {
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// Get accurate context window from OpenAI API
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let contextWindow = 32000; // default fallback
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// OpenAI provides context_length in their API response
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if (m.context_length) {
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contextWindow = m.context_length;
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} else if (m.id?.includes('gpt-4o')) {
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contextWindow = 128000; // GPT-4o has 128k context
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} else if (m.id?.includes('gpt-4-turbo') || m.id?.includes('gpt-4-1106')) {
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contextWindow = 128000; // GPT-4 Turbo has 128k context
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} else if (m.id?.includes('gpt-4')) {
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contextWindow = 8192; // Standard GPT-4 has 8k context
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} else if (m.id?.includes('gpt-3.5-turbo')) {
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contextWindow = 16385; // GPT-3.5-turbo has 16k context
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}
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return {
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name: m.id,
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label: `${m.id} (${Math.floor(contextWindow / 1000)}k context)`,
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provider: this.name,
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maxTokenAllowed: Math.min(contextWindow, 128000), // Cap at 128k for safety
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};
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});
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}
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getModelInstance(options: {
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@@ -13,23 +13,23 @@ export default class TogetherProvider extends BaseProvider {
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};
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staticModels: ModelInfo[] = [
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{
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name: 'Qwen/Qwen2.5-Coder-32B-Instruct',
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label: 'Qwen/Qwen2.5-Coder-32B-Instruct',
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provider: 'Together',
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maxTokenAllowed: 8000,
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},
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/*
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* Essential fallback models - only the most stable/reliable ones
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* Llama 3.2 90B Vision: 128k context, multimodal capabilities
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*/
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{
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name: 'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo',
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label: 'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo',
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label: 'Llama 3.2 90B Vision',
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provider: 'Together',
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maxTokenAllowed: 8000,
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maxTokenAllowed: 128000,
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},
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// Mixtral 8x7B: 32k context, strong performance
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{
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name: 'mistralai/Mixtral-8x7B-Instruct-v0.1',
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label: 'Mixtral 8x7B Instruct',
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provider: 'Together',
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maxTokenAllowed: 8192,
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maxTokenAllowed: 32000,
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},
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];
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