Project
Pi.dev and local-model orchestration on an RTX 5070 Ti
A study of local Pi.dev orchestration: model roles, OpenAI-compatible providers, and a reproducible RTX 5070 Ti setup.
The constraint
One RTX 5070 Ti sets the boundary for this experiment. I am testing how Pi.dev can split work across local models, rather than asking one model to carry the whole workflow.
What I am testing
- Ollama, LM Studio, or vLLM through
models.jsonand OpenAI-compatible APIs. - Separate roles: a lighter model for navigation and classification, a stronger one for code, and a review pass.
- RPC/JSON and SDK modes, task queues, context boundaries, and tool permissions.
- Latency, VRAM pressure, context length, output quality, and fallback behavior when an endpoint is unavailable.
The result I want
A setup someone else can reproduce: which tasks fit on a 5070 Ti, when routing helps, and how to switch to another local endpoint. Benchmarks and exact model choices will come after the measurements.