Personal Telegram bot with a comprehensive AI assistant platform:

• OpenAI Models: GPT-4, GPT-5, O3, O4-mini, DALL-E, Whisper, TTS
• Anthropic Models: Claude 3/3.5, Claude Haiku/Sonnet/Opus 4.x series
• Local Models via Ollama: Qwen, Gemma, open-source GPT models
• Replicate Models: Stable Diffusion, Flux Pro, Kandinsky, Llama, and 50+ others

• Function Calling & Tools: LLM models can call functions, generate images, search web
• Memory System: AI remembers user preferences and information across conversations
• Video Generation: Google Veo 3.1 models with context-aware audio
• Voice Processing: Speech-to-text with Whisper, multi-modal conversations
• Image Analysis: Upload and analyze images with AI
• Permissions System: Granular access control per user and feature
• 17 AI Personas: Specialized roles from IT Expert to Stand-up Comedian
• Video Downloads: Support for various video hosting platforms
• Meta-language Scheduler: Automated task execution with custom scripting language

1. Clone the repository onto the server
2. Copy the config.json.example file to config.json
3. Register a Telegram bot
   • Send the command /newbot to the @BotFather bot
   • Enter the bot's name
   • Save the received token in config.json -> TELEGRAM_TOKEN
4. Add the usernames of users who will have access to the bot to config.json -> ALLOWED_USER_NAMES

5. Get the key from OpenAi:
   • Register at https://platform.openai.com/signup
   • Create a key at https://platform.openai.com/api-keys
   • Save the received key in config.json -> OPENAI_API_KEY

6. Get the key from Anthropic:
   • Register at https://console.anthropic.com/
   • Create a key at https://console.anthropic.com/account/keys
   • Save the received key in config.json -> ANTHROPIC_API_KEY

7. Get the key from replicate:
   • Register at https://replicate.com/signin
   • Create a key at https://replicate.com/account/api-tokens
   • Save the received key in config.json -> REPLICATE_API_KEY

8. Install and configure Ollama:
   • Download from https://ollama.ai/download
   • Pull desired models: ollama pull qwen3:32b
   • Set OLLAMA_HOST in config.json (default: http://localhost:11434)

9. Configure user permissions in config.json -> USER_PERMISSIONS:

   • Set is_admin, can_use_tools, can_use_ollama_llm_models per user
   • Control access to specific features and models

10. Install dependencies, and start the bot by running the command:

run.sh