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126 lines
2.7 KiB
TypeScript
126 lines
2.7 KiB
TypeScript
import { ToolConfig, ToolResponse } from '../types'
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interface Message {
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role: 'system' | 'user' | 'assistant'
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content: string
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}
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export interface ChatParams {
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apiKey: string
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systemPrompt?: string
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context?: string
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model?: string
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temperature?: number
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responseFormat?: string
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}
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export interface ChatResponse extends ToolResponse {
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output: {
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content: string
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model: string
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tokens?: number
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}
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}
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export const chatTool: ToolConfig<ChatParams, ChatResponse> = {
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id: 'deepseek_chat',
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name: 'DeepSeek Chat',
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description: 'Chat with DeepSeek-v3 model',
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version: '1.0.0',
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params: {
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apiKey: {
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type: 'string',
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required: true,
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description: 'DeepSeek API key'
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},
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systemPrompt: {
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type: 'string',
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required: false,
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description: 'System prompt to guide the model'
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},
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context: {
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type: 'string',
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required: false,
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description: 'User input context'
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},
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model: {
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type: 'string',
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default: 'deepseek-chat',
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description: 'Model to use'
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},
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temperature: {
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type: 'number',
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required: false,
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default: 0.7,
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description: 'Sampling temperature'
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},
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responseFormat: {
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type: 'string',
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required: false,
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description: 'Response format specification'
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}
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},
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request: {
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url: 'https://api.deepseek.com/v1/chat/completions',
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method: 'POST',
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headers: (params) => ({
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'Content-Type': 'application/json',
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'Authorization': `Bearer ${params.apiKey}`
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}),
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body: (params) => {
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const messages: Message[] = []
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if (params.systemPrompt) {
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messages.push({
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role: 'system',
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content: params.systemPrompt
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})
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}
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if (params.context) {
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messages.push({
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role: 'user',
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content: params.context
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})
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}
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const body: any = {
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model: 'deepseek-chat',
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messages,
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temperature: params.temperature
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}
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if (params.responseFormat === 'json') {
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body.response_format = { type: 'json_object' }
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}
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return body
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}
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},
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async transformResponse(response: Response): Promise<ChatResponse> {
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if (!response.ok) {
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const error = await response.json()
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throw new Error(`DeepSeek API error: ${error.message || response.statusText}`)
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}
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const data = await response.json()
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return {
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success: true,
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output: {
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content: data.choices[0].message.content,
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model: data.model,
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tokens: data.usage?.total_tokens
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}
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}
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},
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transformError(error: any): string {
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const message = error.error?.message || error.message
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const code = error.error?.type || error.code
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return `${message} (${code})`
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}
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}
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