AI Agent Workflows in Python: Power Your guild-packs Agents with Multimodal Inference via NexaAPI

#ai #python #agents #tutorial

AI agents are only as powerful as their inference backend. guild-packs gives you execution-proven, safety-scanned workflows for AI agents. NexaAPI gives you the cheapest, most capable multimodal inference layer — 56+ models at $0.003/image.

Together, they form a complete AI agent stack for developers in 2026.

What is guild-packs?

guild-packs is a Python package that provides execution-proven, safety-scanned, feedback-improving workflows for AI agents.

pip install guild-packs nexaapi

Why AI Agents Need a Multimodal Inference API

Modern AI agents need to:

🖼️ Generate images for visual tasks
🎵 Synthesize audio for voice interfaces
🎬 Create videos for content pipelines

That is where NexaAPI comes in.

Introducing NexaAPI

56+ AI models — FLUX, Kling, Stable Diffusion, Whisper
$0.003/image — 13x cheaper than DALL-E 3
Python + JS SDKs — pip install nexaapi or npm install nexaapi

Get your API key: https://rapidapi.com/user/nexaquency

Python Code Example

# pip install nexaapi guild-packs
from nexaapi import NexaAPI

client = NexaAPI(api_key="YOUR_API_KEY")

def agent_image_task(prompt: str) -> str:
    response = client.image.generate(
        model="flux-schnell",
        prompt=prompt,
        width=1024,
        height=1024
    )
    return response.image_url

def agent_tts_task(text: str) -> str:
    response = client.audio.tts(text=text, voice="alloy")
    return response.audio_url

if __name__ == "__main__":
    image_url = agent_image_task("A futuristic robot assistant")
    print(f"Generated image: {image_url}")
    audio_url = agent_tts_task("Task complete.")
    print(f"Generated audio: {audio_url}")

JavaScript Code Example

// npm install nexaapi
import NexaAPI from "nexaapi";

const client = new NexaAPI({ apiKey: "YOUR_API_KEY" });

async function agentImageTask(prompt) {
  const response = await client.image.generate({
    model: "flux-schnell",
    prompt,
    width: 1024,
    height: 1024
  });
  return response.imageUrl;
}

async function agentTTSTask(text) {
  const audio = await client.audio.tts({ text, voice: "alloy" });
  return audio.url;
}

(async () => {
  const imageUrl = await agentImageTask("A futuristic robot assistant");
  console.log("Generated image:", imageUrl);
})();