sim/tools/xai/chat.ts

import { ToolConfig, ToolResponse } from '../types' 

export interface ChatParams {
  apiKey: string 
  systemPrompt: string 
  context?: string 
  model?: string 
  temperature?: number 
  maxTokens?: number 
  topP?: number 
  frequencyPenalty?: number 
  presencePenalty?: number 
}

export interface ChatResponse extends ToolResponse {
  output: {
    content: string
    model: string
    tokens?: number
    reasoning?: string
  }
}

export const chatTool: ToolConfig<ChatParams, ChatResponse> = {
  id: 'xai_chat',
  name: 'xAI Chat',
  description: 'Chat with xAI models',
  version: '1.0.0',

  params: {
    apiKey: {
      type: 'string',
      required: true,
      description: 'xAI API key'
    },
    systemPrompt: {
      type: 'string',
      required: true,
      description: 'System prompt to send to the model'
    },
    context: {
      type: 'string',
      description: 'User message/context to send to the model'
    },
    model: {
      type: 'string',
      default: 'grok-2-latest',
      description: 'Model to use'
    },
    temperature: {
      type: 'number',
      default: 0.7,
      description: 'Controls randomness in the response'
    }
  },

  request: {
    url: 'https://api.x.ai/v1/chat/completions',
    method: 'POST',
    headers: (params) => ({
      'Content-Type': 'application/json',
      'Authorization': `Bearer ${params.apiKey}`
    }),
    body: (params) => {
      const messages = [
        { role: 'system', content: params.systemPrompt }
      ] 
      
      if (params.context) {
        messages.push({ role: 'user', content: params.context }) 
      }

      const body = {
        model: params.model || 'grok-2-latest',
        messages,
        temperature: params.temperature,
        max_tokens: params.maxTokens,
        top_p: params.topP,
        frequency_penalty: params.frequencyPenalty,
        presence_penalty: params.presencePenalty
      } 
      return body 
    }
  },

  transformResponse: async (response: Response) => {
    const data = await response.json() 
    return {
      success: true,
      output: {
        content: data.choices[0].message.content,
        model: data.model,
        tokens: data.usage?.total_tokens,
        reasoning: data.choices[0]?.reasoning
      }
    } 
  },

  transformError: (error) => {
    const message = error.error?.message || error.message 
    const code = error.error?.type || error.code 
    return `${message} (${code})` 
  }
}