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import { LLMFactory } from '@/constants/llm';
import { useTranslate } from '@/hooks/common-hooks';
import { IModalProps } from '@/interfaces/common';
import { IAddLlmRequestBody } from '@/interfaces/request/llm';
import {
Flex,
Form,
Input,
InputNumber,
Modal,
Select,
Space,
Switch,
} from 'antd';
import omit from 'lodash/omit';
type FieldType = IAddLlmRequestBody & { vision: boolean };
const { Option } = Select;
const llmFactoryToUrlMap = {
[LLMFactory.Ollama]:
'https://github.com/infiniflow/ragflow/blob/main/docs/guides/deploy_local_llm.mdx',
[LLMFactory.Xinference]:
'https://inference.readthedocs.io/en/latest/user_guide',
[LLMFactory.ModelScope]:
'https://www.modelscope.cn/docs/model-service/API-Inference/intro',
[LLMFactory.LocalAI]: 'https://localai.io/docs/getting-started/models/',
[LLMFactory.LMStudio]: 'https://lmstudio.ai/docs/basics',
[LLMFactory.OpenAiAPICompatible]:
'https://platform.openai.com/docs/models/gpt-4',
[LLMFactory.TogetherAI]: 'https://docs.together.ai/docs/deployment-options',
[LLMFactory.Replicate]: 'https://replicate.com/docs/topics/deployments',
[LLMFactory.OpenRouter]: 'https://openrouter.ai/docs',
[LLMFactory.HuggingFace]:
'https://huggingface.co/docs/text-embeddings-inference/quick_tour',
[LLMFactory.GPUStack]: 'https://docs.gpustack.ai/latest/quickstart',
[LLMFactory.VLLM]: 'https://docs.vllm.ai/en/latest/',
};
type LlmFactory = keyof typeof llmFactoryToUrlMap;
const OllamaModal = ({
visible,
hideModal,
onOk,
loading,
llmFactory,
}: IModalProps<IAddLlmRequestBody> & { llmFactory: string }) => {
const [form] = Form.useForm<FieldType>();
const { t } = useTranslate('setting');
const handleOk = async () => {
const values = await form.validateFields();
const modelType =
values.model_type === 'chat' && values.vision
? 'image2text'
: values.model_type;
const data = {
...omit(values, ['vision']),
model_type: modelType,
llm_factory: llmFactory,
max_tokens: values.max_tokens,
};
console.info(data);
onOk?.(data);
};
const url =
llmFactoryToUrlMap[llmFactory as LlmFactory] ||
'https://github.com/infiniflow/ragflow/blob/main/docs/guides/deploy_local_llm.mdx';
const optionsMap = {
[LLMFactory.HuggingFace]: [
{ value: 'embedding', label: 'embedding' },
{ value: 'chat', label: 'chat' },
{ value: 'rerank', label: 'rerank' },
],
[LLMFactory.Xinference]: [
{ value: 'chat', label: 'chat' },
{ value: 'embedding', label: 'embedding' },
{ value: 'rerank', label: 'rerank' },
{ value: 'image2text', label: 'image2text' },
{ value: 'speech2text', label: 'sequence2text' },
{ value: 'tts', label: 'tts' },
],
[LLMFactory.ModelScope]: [{ value: 'chat', label: 'chat' }],
[LLMFactory.GPUStack]: [
{ value: 'chat', label: 'chat' },
{ value: 'embedding', label: 'embedding' },
{ value: 'rerank', label: 'rerank' },
{ value: 'speech2text', label: 'sequence2text' },
{ value: 'tts', label: 'tts' },
],
Default: [
{ value: 'chat', label: 'chat' },
{ value: 'embedding', label: 'embedding' },
{ value: 'rerank', label: 'rerank' },
{ value: 'image2text', label: 'image2text' },
],
};
const getOptions = (factory: string) => {
return optionsMap[factory as keyof typeof optionsMap] || optionsMap.Default;
};
return (
<Modal
title={t('addLlmTitle', { name: llmFactory })}
open={visible}
onOk={handleOk}
onCancel={hideModal}
okButtonProps={{ loading }}
footer={(originNode: React.ReactNode) => {
return (
<Flex justify={'space-between'}>
<a href={url} target="_blank" rel="noreferrer">
{t('ollamaLink', { name: llmFactory })}
</a>
<Space>{originNode}</Space>
</Flex>
);
}}
>
<Form
name="basic"
style={{ maxWidth: 600 }}
autoComplete="off"
layout={'vertical'}
form={form}
>
<Form.Item<FieldType>
label={t('modelType')}
name="model_type"
initialValue={'embedding'}
rules={[{ required: true, message: t('modelTypeMessage') }]}
>
<Select placeholder={t('modelTypeMessage')}>
{getOptions(llmFactory).map((option) => (
<Option key={option.value} value={option.value}>
{option.label}
</Option>
))}
</Select>
</Form.Item>
<Form.Item<FieldType>
label={t(llmFactory === 'Xinference' ? 'modelUid' : 'modelName')}
name="llm_name"
rules={[{ required: true, message: t('modelNameMessage') }]}
>
<Input placeholder={t('modelNameMessage')} />
</Form.Item>
<Form.Item<FieldType>
label={t('addLlmBaseUrl')}
name="api_base"
rules={[{ required: true, message: t('baseUrlNameMessage') }]}
>
<Input placeholder={t('baseUrlNameMessage')} />
</Form.Item>
<Form.Item<FieldType>
label={t('apiKey')}
name="api_key"
rules={[{ required: false, message: t('apiKeyMessage') }]}
>
<Input placeholder={t('apiKeyMessage')} />
</Form.Item>
<Form.Item<FieldType>
label={t('maxTokens')}
name="max_tokens"
rules={[
{ required: true, message: t('maxTokensMessage') },
{
type: 'number',
message: t('maxTokensInvalidMessage'),
},
({}) => ({
validator(_, value) {
if (value < 0) {
return Promise.reject(new Error(t('maxTokensMinMessage')));
}
return Promise.resolve();
},
}),
]}
>
<InputNumber
placeholder={t('maxTokensTip')}
style={{ width: '100%' }}
/>
</Form.Item>
<Form.Item noStyle dependencies={['model_type']}>
{({ getFieldValue }) =>
getFieldValue('model_type') === 'chat' && (
<Form.Item
label={t('vision')}
valuePropName="checked"
name={'vision'}
>
<Switch />
</Form.Item>
)
}
</Form.Item>
</Form>
</Modal>
);
};
export default OllamaModal;
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