Multi-Modal Discord Bot With Llama And Gemini
Monitors specific users in Discord to analyze images via Groq, transcribe audio, generate text responses with Llama.
What it does
You get real-time analysis of your Discord messages as the bot detects and processes text, images, and audio from specific users. It transcribes your voice notes, analyzes shared photos, and generates thoughtful text responses or new images based on your prompts using Llama and Gemini.
Step by step
- Set up a Discord bot application and enable the required Gateway Intents for message content.
- Configure environment variables to store API keys for Groq, Gemini, Ollama, and SerpApi securely.
- Implement logic in the code node to parse incoming messages and classify them as text, image, or audio based on file extensions or MIME types.
Where the LLM does the work
- Design the system prompt for the LLM to effectively manage conversation history and context window limits.
- Generate refined prompts for Gemini by analyzing user intent to ensure high-quality image generation results.
- Create fallback response templates for when media processing services return errors or empty results.
Watch out for
Large audio files may exceed Groq's transcription size limits so split long recordings into smaller chunks before sending.
Ollama models can consume significant RAM on your server so monitor memory usage and set appropriate concurrency limits.
Gemini image generation requests can fail silently if the prompt contains restricted content so implement a pre-filtering step to sanitize inputs.
Tools that fit
The agent brief
Everything your agent needs, including the gotchas. Copy it and go.
You are helping me build the following AI agent workflow. ## Goal Multi-Modal Discord Bot With Llama And Gemini: Monitors specific users in Discord to analyze images via Groq, transcribe audio, generate text responses with Llama. ## Specification - What it does: You get real-time analysis of your Discord messages as the bot detects and processes text, images, and audio from specific users. It transcribes your voice notes, analyzes shared photos, and generates thoughtful text responses or new images based on your prompts using Llama and Gemini. - Trigger: Triggered by an event (Event · on new Discord message) - Autonomy: Fully hands-off - Expected setup effort: a few focused days - Tools/services involved: - Discord: Message monitoring and response posting - Ollama Chat Model: Llama AI text processing and conversation context - SerpApi (Google Search): Knowledge retrieval for AI responses - Wikipedia: Knowledge base integration ## Known pitfalls, handle each one explicitly in your implementation 1. Large audio files may exceed Groq's transcription size limits so split long recordings into smaller chunks before sending. 2. Ollama models can consume significant RAM on your server so monitor memory usage and set appropriate concurrency limits. 3. Gemini image generation requests can fail silently if the prompt contains restricted content so implement a pre-filtering step to sanitize inputs. ## Reference implementation https://n8n.io/workflows/3222 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/multi-modal-discord-bot-with-llama-and-gemini/ via usecasesforagents.com
Frequently asked questions
Can I use a different Messaging than Discord?
Yes. Discord is only the example messaging in this recipe. The same flow works with ClickSend API, Google Chat, LINE Messaging API and Matrix. Swap the messaging connection and keep the rest of the setup as written.
Want this running in your business?
This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.
Who it's for
Built for developers who want the busywork around code automated, not the code itself.