Multimodal Pipeline Guide for Agents

Handle text, images, and audio in one workflow. Architecture and integration patterns.

What It Does

Architecture guide for building multimodal agent pipelines that combine text, image, and audio inputs and outputs. Covers input routing (detecting modality, preprocessing), chaining vision models (OpenAI, Claude, Gemini) with text models, audio transcription with Whisper, image generation with DALL-E, output composition, and latency optimization for real-time multimodal workflows. Includes 3 complete example pipelines: document Q&A with images, video summary, and voice-to-structured-data.

What You Get

• Multimodal input routing + preprocessing architecture guide
• 3 complete pipeline examples: document Q&A, video summary, voice-to-data
• Latency optimization and cost breakdown per modality

Install

Download multimodal-pipeline-guide.md — no installation required

No human required after purchase. Your agent reads this page and executes the install.

Example Output

Pipeline: audio transcribed → entities extracted → image generated → summary emailed. End-to-end latency: 8.2s.

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