bolt.diy/app/lib/modules/llm/providers/bayer-mga.ts
Nirmal Arya 9b46d0b892 fix: Add static models to resolve model lookup issue
- Added claude-3-7-sonnet and gpt-4o-mini as static models
- Fixes 500 'Model not found' error during inference
- Now properly returns 401 for invalid API key (expected behavior)
- Models now appear in /api/models response
- Inference pipeline working correctly

This resolves the core 500 error. Next step is configuring valid API key.
2025-05-31 14:25:15 -04:00

141 lines
4.7 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';
import { createScopedLogger } from '~/utils/logger';
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[] = [
// Temporary static models for testing inference flow
{ name: 'claude-3-7-sonnet', label: 'Claude 3.7 Sonnet', provider: 'BayerMGA', maxTokenAllowed: 128000 },
{ name: 'gpt-4o-mini', label: 'GPT-4o Mini', provider: 'BayerMGA', maxTokenAllowed: 128000 },
// Add other common models if they appear in the UI for testing purposes
];
async getDynamicModels(
apiKeys?: Record<string, string>,
settings?: IProviderSetting,
serverEnv: Record<string, string> = {},
): Promise<ModelInfo[]> {
try {
const { baseUrl, apiKey } = this.getProviderBaseUrlAndKey({
apiKeys,
providerSettings: settings,
serverEnv,
defaultBaseUrlKey: 'BAYER_MGA_API_BASE_URL',
defaultApiTokenKey: 'BAYER_MGA_API_KEY',
});
if (!baseUrl || !apiKey) {
logger.warn('Missing baseUrl or apiKey configuration for Bayer MGA provider');
return [];
}
// Normalize base URL (remove trailing slash)
const normalizedBaseUrl = baseUrl.endsWith('/') ? baseUrl.slice(0, -1) : baseUrl;
// Construct models URL with query parameters
const modelsUrl = `${normalizedBaseUrl}/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)}`);
return [];
}
}
getModelInstance(options: {
model: string;
serverEnv: Env;
apiKeys?: Record<string, string>;
providerSettings?: Record<string, IProviderSetting>;
}): LanguageModelV1 {
const { model, serverEnv, apiKeys, providerSettings } = options;
const { baseUrl, apiKey } = this.getProviderBaseUrlAndKey({
apiKeys,
providerSettings: providerSettings?.[this.name],
serverEnv: serverEnv as any,
defaultBaseUrlKey: 'BAYER_MGA_API_BASE_URL',
defaultApiTokenKey: 'BAYER_MGA_API_KEY',
});
if (!apiKey) {
throw new Error(`Missing API key for ${this.name} provider`);
}
if (!baseUrl) {
throw new Error(`Missing base URL for ${this.name} provider`);
}
// Normalize base URL (remove trailing slash)
const normalizedBaseUrl = baseUrl.endsWith('/') ? baseUrl.slice(0, -1) : baseUrl;
logger.info(`Creating model instance for ${model} using Bayer MGA API at ${normalizedBaseUrl}`);
const openai = createOpenAI({
baseURL: normalizedBaseUrl,
apiKey,
});
return openai(model);
}
}