Contact person: Business Client

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Location: Xi an, China

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m building a platform where several AI agents run side-by-side, each with its own speciality and toolset yet still able to collaborate. Every agent must

• operate both autonomously and under manual override
• access only its assigned tools—data-visualisation modules, chat interfaces and external API hooks—through a clear permission layer
• learn from a dedicated, private data set so its expertise remains distinct

My goal is to end up with a single codebase (Python preferred, but I’m open) that spins up new agents easily, handles training on custom data, and provides a lightweight dashboard for monitoring, hand-off control and conversation history.

Deliverables
1. Modular architecture with agent registration, authentication and orchestration
2. Training pipeline that ingests my datasets and fine-tunes each agent
3. Working demo: at least two agents showing different capabilities, producing visual insights, answering via chat and calling an external API
4. Setup scripts plus concise documentation so I can add more agents or retrain existing ones without touching core code

Code quality, transparency and clear instructions are the success criteria." (client-provided description)