Files
bolt.diy/app/lib/modules/llm/providers/bayer-mga.ts
2025-06-22 19:49:26 -04:00

210 lines
8.0 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');
// Helper function to map model names to their actual API names
function mapModelName(modelName: string): string {
const modelMapping: Record<string, string> = {
// Remove mappings for now - use exact names returned by the API
// The issue might be that the actual API expects the unmapped names
// 'claude-3-5-sonnet': 'claude-3-5-sonnet-20241022',
// 'claude-sonnet-4': 'claude-sonnet-4-20250219',
};
return modelMapping[modelName] || modelName;
}
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[] = [
// Fallback models for MCP compatibility - only tool-supporting models
{ 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 },
];
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 with MCP tool support and map to ModelInfo format
const models = res.data
.filter((model: any) => {
// Only show models that are available AND support tools (required for MCP features)
return model.model_status === 'available' &&
model.supports_tools === true &&
model.model &&
typeof model.model === 'string' &&
model.model.trim().length > 0;
})
.map((model: any) => ({
name: model.model.trim(),
label: model.name ? model.name.trim() : model.model.trim(),
provider: this.name,
maxTokenAllowed: 8192, // Use conservative limit like other providers in bolt.diy
}));
logger.info(`Found ${models.length} available models from Bayer MGA`);
// Log model details for debugging
if (models.length > 0) {
logger.debug(`Available Bayer MGA models: ${models.map((m: ModelInfo) => m.name).join(', ')}`);
models.forEach((model: ModelInfo) => {
logger.debug(`Model: ${model.name}, Label: ${model.label}, Max Tokens: ${model.maxTokenAllowed}`);
});
} else {
logger.warn('No available models returned from Bayer MGA API');
}
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. Please configure BAYER_MGA_API_KEY.`);
}
if (!baseUrl) {
throw new Error(`Missing base URL for ${this.name} provider. Please configure BAYER_MGA_API_BASE_URL.`);
}
// Normalize base URL (remove trailing slash)
const normalizedBaseUrl = baseUrl.endsWith('/') ? baseUrl.slice(0, -1) : baseUrl;
// Validate model name
if (!model || typeof model !== 'string' || model.trim().length === 0) {
throw new Error(`Invalid model name: ${model}. Please select a valid model.`);
}
const cleanModel = model.trim();
// Get cached models to validate model availability
const cachedModels = this.getModelsFromCache({
apiKeys,
providerSettings,
serverEnv: serverEnv as any,
});
// Check if the requested model is available (either in cache or static models)
const availableModels = [...this.staticModels, ...(cachedModels || [])];
const modelExists = availableModels.some(m => m.name === cleanModel);
let effectiveModel = cleanModel;
if (!modelExists) {
logger.warn(`Model ${cleanModel} not found in available models for Bayer MGA. Available models: ${availableModels.map(m => m.name).join(', ')}`);
// Fall back to first available model if the requested model is not found
const fallbackModel = availableModels[0];
if (fallbackModel) {
logger.info(`Using fallback model: ${fallbackModel.name}`);
effectiveModel = fallbackModel.name;
} else {
throw new Error(`No models available for ${this.name} provider. Please check your API key and try again.`);
}
}
// Map model name to actual API name if needed
const mappedModel = mapModelName(effectiveModel);
logger.info(`Creating model instance for "${effectiveModel}" (mapped to "${mappedModel}") using Bayer MGA API at ${normalizedBaseUrl}`);
try {
// Bayer MGA uses OpenAI-compatible API for ALL models
// Even Claude models need to use OpenAI SDK for this provider
logger.info(`Using OpenAI SDK for model: ${effectiveModel} -> ${mappedModel} (Bayer MGA API is OpenAI-compatible)`);
const openai = createOpenAI({
baseURL: normalizedBaseUrl,
apiKey,
});
return openai(mappedModel);
} catch (error) {
logger.error(`Failed to create model instance: ${error instanceof Error ? error.message : String(error)}`);
throw new Error(`Failed to create model instance for ${effectiveModel}: ${error instanceof Error ? error.message : String(error)}`);
}
}
}