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https://github.com/MODSetter/SurfSense.git
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917cf4f398
- Add support for DeepSeek, Qwen (Alibaba), Kimi (Moonshot), and GLM (Zhipu) - Implement auto-fill API Base URL when selecting Chinese LLM providers - Add smart validation and warnings for missing API endpoints - Fix session state management in task logging service - Add comprehensive Chinese setup documentation - Add database migration for new LLM provider enums Closes #383
129 lines
3.4 KiB
TypeScript
129 lines
3.4 KiB
TypeScript
export interface LLMProvider {
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value: string;
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label: string;
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example: string;
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description: string;
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apiBase?: string; // Default API Base URL for the provider / 提供商的默认 API Base URL
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}
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export const LLM_PROVIDERS: LLMProvider[] = [
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{
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value: "OPENAI",
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label: "OpenAI",
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example: "gpt-4o, gpt-4, gpt-3.5-turbo",
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description: "Industry-leading GPT models with broad capabilities",
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},
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{
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value: "ANTHROPIC",
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label: "Anthropic",
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example: "claude-3-5-sonnet-20241022, claude-3-opus-20240229",
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description: "Claude models with strong reasoning and long context windows",
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},
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{
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value: "GROQ",
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label: "Groq",
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example: "llama3-70b-8192, mixtral-8x7b-32768",
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description: "Lightning-fast inference with custom LPU hardware",
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},
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{
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value: "COHERE",
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label: "Cohere",
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example: "command-r-plus, command-r",
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description: "Enterprise NLP models optimized for business applications",
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},
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{
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value: "HUGGINGFACE",
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label: "HuggingFace",
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example: "microsoft/DialoGPT-medium",
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description: "Access thousands of open-source models",
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},
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{
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value: "AZURE_OPENAI",
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label: "Azure OpenAI",
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example: "gpt-4, gpt-35-turbo",
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description: "OpenAI models with Microsoft Azure enterprise features",
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},
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{
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value: "GOOGLE",
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label: "Google",
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example: "gemini-pro, gemini-pro-vision",
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description: "Gemini models with multimodal capabilities",
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},
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{
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value: "AWS_BEDROCK",
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label: "AWS Bedrock",
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example: "anthropic.claude-v2",
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description: "Fully managed foundation models on AWS infrastructure",
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},
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{
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value: "OLLAMA",
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label: "Ollama",
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example: "llama2, codellama",
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description: "Run open-source models locally on your machine",
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},
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{
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value: "MISTRAL",
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label: "Mistral",
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example: "mistral-large-latest, mistral-medium",
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description: "High-performance open-source models from Europe",
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},
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{
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value: "TOGETHER_AI",
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label: "Together AI",
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example: "togethercomputer/llama-2-70b-chat",
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description: "Scalable cloud platform for open-source models",
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},
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{
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value: "REPLICATE",
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label: "Replicate",
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example: "meta/llama-2-70b-chat",
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description: "Cloud API for running machine learning models",
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},
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{
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value: "OPENROUTER",
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label: "OpenRouter",
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example: "anthropic/claude-opus-4.1, openai/gpt-5",
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description: "Unified API gateway for multiple LLM providers",
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},
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{
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value: "COMETAPI",
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label: "CometAPI",
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example: "gpt-5-mini, claude-sonnet-4-5",
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description: "Access 500+ AI models through one unified API",
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},
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// Chinese LLM Providers / 国产 LLM 提供商
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{
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value: "DEEPSEEK",
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label: "DeepSeek",
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example: "deepseek-chat, deepseek-coder",
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description: "Chinese high-performance AI models",
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apiBase: "https://api.deepseek.com",
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},
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{
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value: "ALIBABA_QWEN",
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label: "Qwen",
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example: "qwen-max, qwen-plus, qwen-turbo",
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description: "Alibaba Cloud Qwen LLM",
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apiBase: "https://dashscope.aliyuncs.com/compatible-mode/v1",
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},
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{
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value: "MOONSHOT",
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label: "Kimi",
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example: "moonshot-v1-8k, moonshot-v1-32k, moonshot-v1-128k",
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description: "Moonshot AI Kimi models",
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apiBase: "https://api.moonshot.cn/v1",
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},
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{
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value: "ZHIPU",
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label: "GLM",
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example: "glm-4, glm-4-flash, glm-3-turbo",
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description: "Zhipu AI GLM series models",
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apiBase: "https://open.bigmodel.cn/api/paas/v4",
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},
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{
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value: "CUSTOM",
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label: "Custom Provider",
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example: "your-custom-model",
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description: "Connect to your own custom model endpoint",
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},
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];
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