@lobehub/chat
Version:
Lobe Chat - an open-source, high-performance chatbot framework that supports speech synthesis, multimodal, and extensible Function Call plugin system. Supports one-click free deployment of your private ChatGPT/LLM web application.
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text/typescript
import { AgentRuntimeErrorType } from '../error';
import { ModelProvider } from '../types';
import { LobeOpenAICompatibleFactory } from '../utils/openaiCompatibleFactory';
import type { ChatModelCard } from '@/types/llm';
export interface GroqModelCard {
context_window: number;
id: string;
}
export const LobeGroq = LobeOpenAICompatibleFactory({
baseURL: 'https://api.groq.com/openai/v1',
chatCompletion: {
handleError: (error) => {
// 403 means the location is not supported
if (error.status === 403)
return { error, errorType: AgentRuntimeErrorType.LocationNotSupportError };
},
handlePayload: (payload) => {
const { temperature, ...restPayload } = payload;
return {
...restPayload,
// disable stream for tools due to groq dont support
stream: !payload.tools,
temperature: temperature <= 0 ? undefined : temperature,
} as any;
},
},
debug: {
chatCompletion: () => process.env.DEBUG_GROQ_CHAT_COMPLETION === '1',
},
models: async ({ client }) => {
const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
const functionCallKeywords = [
'tool',
'llama-3.3',
'llama-3.1',
'llama3-',
'mixtral-8x7b-32768',
'gemma2-9b-it',
];
const reasoningKeywords = [
'deepseek-r1',
];
const modelsPage = await client.models.list() as any;
const modelList: GroqModelCard[] = modelsPage.data;
return modelList
.map((model) => {
const knownModel = LOBE_DEFAULT_MODEL_LIST.find((m) => model.id.toLowerCase() === m.id.toLowerCase());
return {
contextWindowTokens: model.context_window,
displayName: knownModel?.displayName ?? undefined,
enabled: knownModel?.enabled || false,
functionCall:
functionCallKeywords.some(keyword => model.id.toLowerCase().includes(keyword))
|| knownModel?.abilities?.functionCall
|| false,
id: model.id,
reasoning:
reasoningKeywords.some(keyword => model.id.toLowerCase().includes(keyword))
|| knownModel?.abilities?.reasoning
|| false,
vision:
model.id.toLowerCase().includes('vision')
|| knownModel?.abilities?.vision
|| false,
};
})
.filter(Boolean) as ChatModelCard[];
},
provider: ModelProvider.Groq,
});