Files
bolt-diy/app/lib/modules/llm/providers/openai.ts
Stijnus b5d9055851 🔧 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-  Outdated hardcoded model configurations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
2025-08-29 20:53:57 +02:00

112 lines
3.5 KiB
TypeScript

import { BaseProvider } from '~/lib/modules/llm/base-provider';
import type { ModelInfo } from '~/lib/modules/llm/types';
import type { IProviderSetting } from '~/types/model';
import type { LanguageModelV1 } from 'ai';
import { createOpenAI } from '@ai-sdk/openai';
export default class OpenAIProvider extends BaseProvider {
name = 'OpenAI';
getApiKeyLink = 'https://platform.openai.com/api-keys';
config = {
apiTokenKey: 'OPENAI_API_KEY',
};
staticModels: ModelInfo[] = [
/*
* Essential fallback models - only the most stable/reliable ones
* GPT-4o: 128k context, high performance, recommended for most tasks
*/
{ name: 'gpt-4o', label: 'GPT-4o', provider: 'OpenAI', maxTokenAllowed: 128000 },
// GPT-3.5-turbo: 16k context, fast and cost-effective
{ name: 'gpt-3.5-turbo', label: 'GPT-3.5 Turbo', provider: 'OpenAI', maxTokenAllowed: 16000 },
];
async getDynamicModels(
apiKeys?: Record<string, string>,
settings?: IProviderSetting,
serverEnv?: Record<string, string>,
): Promise<ModelInfo[]> {
const { apiKey } = this.getProviderBaseUrlAndKey({
apiKeys,
providerSettings: settings,
serverEnv: serverEnv as any,
defaultBaseUrlKey: '',
defaultApiTokenKey: 'OPENAI_API_KEY',
});
if (!apiKey) {
throw `Missing Api Key configuration for ${this.name} provider`;
}
const response = await fetch(`https://api.openai.com/v1/models`, {
headers: {
Authorization: `Bearer ${apiKey}`,
},
});
const res = (await response.json()) as any;
const staticModelIds = this.staticModels.map((m) => m.name);
const data = res.data.filter(
(model: any) =>
model.object === 'model' &&
(model.id.startsWith('gpt-') || model.id.startsWith('o') || model.id.startsWith('chatgpt-')) &&
!staticModelIds.includes(model.id),
);
return data.map((m: any) => {
// Get accurate context window from OpenAI API
let contextWindow = 32000; // default fallback
// OpenAI provides context_length in their API response
if (m.context_length) {
contextWindow = m.context_length;
} else if (m.id?.includes('gpt-4o')) {
contextWindow = 128000; // GPT-4o has 128k context
} else if (m.id?.includes('gpt-4-turbo') || m.id?.includes('gpt-4-1106')) {
contextWindow = 128000; // GPT-4 Turbo has 128k context
} else if (m.id?.includes('gpt-4')) {
contextWindow = 8192; // Standard GPT-4 has 8k context
} else if (m.id?.includes('gpt-3.5-turbo')) {
contextWindow = 16385; // GPT-3.5-turbo has 16k context
}
return {
name: m.id,
label: `${m.id} (${Math.floor(contextWindow / 1000)}k context)`,
provider: this.name,
maxTokenAllowed: Math.min(contextWindow, 128000), // Cap at 128k for safety
};
});
}
getModelInstance(options: {
model: string;
serverEnv: Env;
apiKeys?: Record<string, string>;
providerSettings?: Record<string, IProviderSetting>;
}): LanguageModelV1 {
const { model, serverEnv, apiKeys, providerSettings } = options;
const { apiKey } = this.getProviderBaseUrlAndKey({
apiKeys,
providerSettings: providerSettings?.[this.name],
serverEnv: serverEnv as any,
defaultBaseUrlKey: '',
defaultApiTokenKey: 'OPENAI_API_KEY',
});
if (!apiKey) {
throw new Error(`Missing API key for ${this.name} provider`);
}
const openai = createOpenAI({
apiKey,
});
return openai(model);
}
}