Design Agentic AI Workflow and Set-Up
- État: Closed
- Prix: $13
- Propositions reçues: 177
Résumé du concours
I want to move from scattered scripts to a single agentic AI workflow that can reason through multi-step problems, call the right tools, and return a clear result without constant human nudging.
Here’s what matters to me:
• A modular architecture that lets me plug in new data sources, APIs, or LLM providers later.
• Clean, well-commented code (Python is preferred) plus an architecture diagram that shows how each agent, memory store, and tool interact.
• A short README that explains how to install dependencies, set environment variables, and trigger an end-to-end demo run.
• One example task flow—feel free to suggest a realistic use-case you can build quickly (I’m flexible on industry and function).
If you have experience with LangChain, LlamaIndex, or similar frameworks—and you can show a running demo that I can reproduce locally—you’re exactly who I need.
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