87 lines
2.3 KiB
TypeScript
87 lines
2.3 KiB
TypeScript
// just for develop
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{{range .LLMList}}
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let {{.}}: LLM
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{{- end}}
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export default {
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similarity,
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{{- range .LLMList}}
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{{.}},
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{{- end}}
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}
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function similarity(a: any, b: any): number{return 0}
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interface ChatConfig {
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model: string
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ratio: number
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maxTokens: number
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temperature: number
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topP: number
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tools: Object
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}
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interface ChatResult {
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result: string
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askTokens: number
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answerTokens: number
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totalTokens: number
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usedTime: number
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}
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interface GCConfig {
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model: string
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size: string
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ref: string
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}
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interface GCResult {
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result: string
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preview: string
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results: Array<string>
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previews: Array<string>
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usedTime: number
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}
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interface EmbeddingResult {
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result: string
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askTokens: number
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answerTokens: number
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totalTokens: number
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usedTime: number
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}
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interface Support {
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ask: boolean
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askWithImage: boolean
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askWithVideo: boolean
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askWithCodeInterpreter: boolean
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askWithWebSearch: boolean
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makeImage: boolean
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makeVideo: boolean
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models: Array<string>
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}
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interface LLM {
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ask(messages: any, config?: ChatConfig, callback?: (answer: string) => void): ChatResult
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fastAsk(messages: any, callback?: (answer: string) => void): ChatResult
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longAsk(messages: any, callback?: (answer: string) => void): ChatResult
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batterAsk(messages: any, callback?: (answer: string) => void): ChatResult
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bestAsk(messages: any, callback?: (answer: string) => void): ChatResult
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multiAsk(messages: any, callback?: (answer: string) => void): ChatResult
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bestMultiAsk(messages: any, callback?: (answer: string) => void): ChatResult
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codeInterpreterAsk(messages: any, callback?: (answer: string) => void): ChatResult
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webSearchAsk(messages: any, callback?: (answer: string) => void): ChatResult
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makeImage(prompt: string, config?: GCConfig): GCResult
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fastMakeImage(prompt: string, config?: GCConfig): GCResult
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bestMakeImage(prompt: string, config?: GCConfig): GCResult
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makeVideo(prompt: string, config?: GCConfig): GCResult
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fastMakeVideo(prompt: string, config?: GCConfig): GCResult
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bestMakeVideo(prompt: string, config?: GCConfig): GCResult
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embedding(text: string, model: string): EmbeddingResult
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fastEmbedding(text: string): EmbeddingResult
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bestEmbedding(text: string): EmbeddingResult
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support: Support
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}
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