Assistant: 
User: System: code assistant and be concise
User: hi
Assistant: Hello! How can I assist you with coding today?
User: gatsby-blog  myblog  myenv  my-gatsby-blog  rayan-ai  react_projectamirwit@vps97564145:~$ source mymyblog/         myenv/          my-gatsby-blog/ amirwit@vps97564145:~$ source mysource myenv/bin/activate-bash: mysource: No such file or directoryamirwit@vps97564145:~$ source  myenv/bin/activate-bash: myenv/bin/activate: No such file or directoryamirwit@vps97564145:~$ source /myenv/bin/activate-bash: /myenv/bin/activate: No such file or directoryamirwit@vps97564145:~$ source bin/myenv/activate-bash: bin/myenv/activate: No such file or directory
Assistant: It looks like you're trying to activate a virtual environment for your Gatsby blog project, but you're encountering some "No such file or directory" errors. Here are a few things you can check:

1. **Check the Path**: Make sure that the path to your virtual environment is correct. You can use the `ls` command to list the contents of the directory and verify that `myenv` exists.

   ```bash
   ls
   ```

2. **Correct Activation Command**: The correct command to activate a virtual environment in bash is:

   ```bash
   source myenv/bin/activate
   ```

   Ensure that you are in the correct directory where `myenv` is located when you run this command.

3. **Create the Virtual Environment**: If `myenv` does not exist, you may need to create it first. You can do this with:

   ```bash
   python -m venv myenv
   ```

   After creating it, try activating it again.

4. **Check for Typos**: Make sure there are no typos in your commands or directory names.

If you follow these steps and still encounter issues, feel free to share more details, and I'll be happy to help!
User: ok
Assistant: ¡Hola! ¿En qué puedo ayudarte hoy? 😊
User: hello again
Assistant: Hello again! How can I assist you today?
User: import 'server-only'import {  createAI,  getMutableAIState,  getAIState,  streamUI,  createStreamableValue} from 'ai/rsc'import { createOpenAI } from '@ai-sdk/openai' // Import createOpenAIimport { BotMessage, SystemMessage } from '@/components/stocks'import { z } from 'zod'import { nanoid } from '@/lib/utils'import { saveChat } from '@/app/actions'import { Chat, Message } from '@/lib/types'import { auth } from '@/auth'// Store API keys in an array using environment variablesconst API_KEYS = [  process.env.OPENAI_API_KEY,  process.env.OPENAI_API_KEY_2  // Add more API keys as needed]// Function to randomly select an API keyfunction getRandomAPIKey() {  return API_KEYS[Math.floor(Math.random() * API_KEYS.length)]}// Function to create an OpenAI instance with a random API keyfunction makeOpenAICall() {  return createOpenAI({    baseURL: process.env.BaseURL, // Replace with your proxy URL if needed    apiKey: getRandomAPIKey(), // Use the random API key selection function    compatibility: 'strict' // Enable strict mode if needed  })}// Define the AIState typeexport type AIState = {  chatId: string  messages: Message[]}// Define the UIState typeexport type UIState = {  id: string  display: React.ReactNode}[]async function submitUserMessage(content: string) {  'use server'  const aiState = getMutableAIState<typeof AI>()  const MAX_HISTORY = 6  aiState.update({    ...aiState.get(),    messages: [      ...aiState.get().messages.slice(-MAX_HISTORY + 1),      {        id: nanoid(),        role: 'user',        content      }    ]  })  let textStream: ReturnType<typeof createStreamableValue<string>> | undefined  let textNode: React.ReactNode | undefined  try {    const result = await streamUI({      model: makeOpenAICall()('Meta-Llama-3.1-405B-Instruct'), // Adjust the model as needed      initial: <SystemMessage>Loading...</SystemMessage>,      maxTokens: 512,      temperature: 0.85,      maxRetries: 3, // Handles retries internally      topP: 0.7,      stopSequences: ['
'],      system: `speak advanced languge. be censies and short.`,      messages: [        ...aiState.get().messages.map((message: any) => ({          role: message.role,          content: message.content,          name: message.name        }))      ],      text: ({ content, done, delta }) => {        if (!textStream) {          textStream = createStreamableValue('')          textNode = <BotMessage content={textStream.value} />        }        if (done) {          textStream.done()          aiState.done({            ...aiState.get(),            messages: [              ...aiState.get().messages,              {                id: nanoid(),                role: 'assistant',                content              }            ]          })        } else {          textStream.update(delta)        }        return textNode      },      tools: {        // Add any custom tools here if needed      }    })    return {      id: nanoid(),      display: result.value    }  } catch (error) {    // Type-safe error handling    if (error instanceof Error) {      console.error('Error occurred during message submission:', error.message)    } else {      console.error(        'An unknown error occurred during message submission:',        error      )    }    // Update the AI state to reflect that an error occurred    aiState.update({      ...aiState.get(),      messages: [        ...aiState.get().messages,        {          id: nanoid(),          role: 'system',          content:            'An error occurred while processing your request. Please try again.'        }      ]    })    // Return a fallback UI with an error message    return {      id: nanoid(),      display: (        <SystemMessage>          Error: Unable to process your request. Please try again.        </SystemMessage>      )    }  }}// Define AI object or import itexport const AI = createAI<AIState, UIState>({  actions: {    submitUserMessage  },  initialUIState: [],  initialAIState: { chatId: nanoid(), messages: [] },  onGetUIState: async () => {    'use server'    const session = await auth()    if (session &
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