bolt.diy/app/lib/modules/llm/providers/bayer-mga.ts
Nirmal Arya e5e24450c9 fix: Robust BayerMGA provider implementation with better error handling
Key improvements:
- Switch from getOpenAILikeModel to createOpenAI for better control
- Comprehensive error handling and validation
- Better base URL normalization and configuration
- Enhanced logging for debugging inference issues
- Proper header configuration for API requests
- Detailed error messages for troubleshooting

This should resolve the inference execution issues while maintaining model listing functionality.
2025-05-31 13:58:55 -04:00

192 lines
6.2 KiB
TypeScript

import { BaseProvider, getOpenAILikeModel } 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 { createScopedLogger } from '~/utils/logger';
import { createOpenAI } from '@ai-sdk/openai';
const logger = createScopedLogger('BayerMGAProvider');
export default class BayerMGAProvider extends BaseProvider {
name = 'BayerMGA';
getApiKeyLink = 'https://chat.int.bayer.com';
labelForGetApiKey = 'Get Bayer MGA API Key';
config = {
baseUrl: 'https://chat.int.bayer.com/api/v2',
apiTokenKey: 'BAYER_MGA_API_KEY',
};
staticModels: ModelInfo[] = [];
/**
* Normalizes a base URL by removing trailing slashes
* to prevent double-slash issues in path construction
*/
private normalizeBaseUrl(url: string): string {
return url.endsWith('/') ? url.slice(0, -1) : url;
}
/**
* Validates API configuration and returns normalized values
* or throws descriptive errors for troubleshooting
*/
private validateApiConfig(options: {
apiKeys?: Record<string, string>;
providerSettings?: IProviderSetting;
serverEnv: Record<string, string>;
operation: string;
}): { baseUrl: string; apiKey: string } {
const { apiKeys, providerSettings, serverEnv, operation } = options;
const { baseUrl, apiKey } = this.getProviderBaseUrlAndKey({
apiKeys,
providerSettings,
serverEnv,
defaultBaseUrlKey: 'BAYER_MGA_API_BASE_URL',
defaultApiTokenKey: 'BAYER_MGA_API_KEY',
});
if (!baseUrl) {
const error = `Missing base URL configuration for ${this.name} provider (${operation})`;
logger.error(error);
throw new Error(error);
}
if (!apiKey) {
const error = `Missing API key configuration for ${this.name} provider (${operation})`;
logger.error(error);
throw new Error(error);
}
return {
baseUrl: this.normalizeBaseUrl(baseUrl),
apiKey,
};
}
async getDynamicModels(
apiKeys?: Record<string, string>,
settings?: IProviderSetting,
serverEnv: Record<string, string> = {},
): Promise<ModelInfo[]> {
try {
// Validate configuration
let baseUrl, apiKey;
try {
const config = this.validateApiConfig({
apiKeys,
providerSettings: settings,
serverEnv,
operation: 'getDynamicModels',
});
baseUrl = config.baseUrl;
apiKey = config.apiKey;
} catch (error) {
logger.warn(`Configuration validation failed: ${error instanceof Error ? error.message : String(error)}`);
return [];
}
// Construct models URL with query parameters
const modelsUrl = `${baseUrl}/models?include_hidden_models=false&include_aliases=true`;
logger.info(`Fetching models from ${modelsUrl}`);
// Make API request with proper headers
const response = await fetch(modelsUrl, {
headers: {
Authorization: `Bearer ${apiKey}`,
'Content-Type': 'application/json',
},
});
// Handle HTTP errors
if (!response.ok) {
const errorText = await response.text();
logger.error(`Failed to fetch Bayer MGA models: ${response.status} ${response.statusText}`);
logger.error(`Error details: ${errorText}`);
return [];
}
// Parse response
const responseText = await response.text();
let res;
try {
res = JSON.parse(responseText);
} catch (e) {
logger.error(`Invalid JSON response from Bayer MGA API: ${responseText.substring(0, 200)}...`);
return [];
}
// Validate response structure
if (!res.data || !Array.isArray(res.data)) {
logger.error(`Invalid response format from Bayer MGA API: missing data array`);
logger.debug(`Response: ${JSON.stringify(res).substring(0, 500)}...`);
return [];
}
// Filter for available models and map to ModelInfo format
const models = res.data
.filter((model: any) => model.model_status === 'available')
.map((model: any) => ({
name: model.model,
label: model.name || model.model,
provider: this.name,
maxTokenAllowed: model.context_window || 8000,
}));
logger.info(`Found ${models.length} available models from Bayer MGA`);
return models;
} catch (error) {
logger.error(`Error fetching Bayer MGA models: ${error instanceof Error ? error.message : String(error)}`);
logger.error(error instanceof Error && error.stack ? error.stack : 'No stack trace available');
return [];
}
}
getModelInstance(options: {
model: string;
serverEnv: Env;
apiKeys?: Record<string, string>;
providerSettings?: Record<string, IProviderSetting>;
}): LanguageModelV1 {
try {
const { model, serverEnv, apiKeys, providerSettings } = options;
// Validate configuration
const { baseUrl, apiKey } = this.validateApiConfig({
apiKeys,
providerSettings: providerSettings?.[this.name],
serverEnv: serverEnv as any,
operation: 'getModelInstance',
});
// Log the model instance creation attempt
logger.info(`Creating model instance for ${model} using Bayer MGA API at ${baseUrl}`);
// Create the OpenAI-compatible client with the correct base URL
// The SDK will append /chat/completions to this URL
const openai = createOpenAI({
baseURL: baseUrl,
apiKey,
// Add custom headers if needed for this provider
headers: {
'Content-Type': 'application/json',
},
});
// Return the model instance
return openai(model);
} catch (error) {
// Log detailed error information
logger.error(`Error creating Bayer MGA model instance: ${error instanceof Error ? error.message : String(error)}`);
logger.error(error instanceof Error && error.stack ? error.stack : 'No stack trace available');
// Rethrow the error with a more descriptive message
if (error instanceof Error) {
throw new Error(`Bayer MGA provider error: ${error.message}`);
}
throw error;
}
}
}