Router

Cookbook examples for cookbook/90_models/ramp.

Ramp Router puts one OpenAI Responses endpoint in front of several providers. Set your API key first:

bash

export RAMP_ROUTER_API_KEY=***

Run examples with:

bash

.venvs/demo/bin/python cookbook/90_models/ramp/<example>.py

Router specifics

Model ids are account-scoped. GET https://api.router.com/v1/models lists the ones your key can reach, along with each one's context window, capabilities and price.
models=[...] routes across candidates instead of picking one. Entries are the catalog_id values from that listing (openai:gpt-5-nano), optionally suffixed with a service tier. See fallback.py.
metadata={...} is stored with the request and is how you attribute spend in the dashboard.
allow_flex_tier only applies to a single model, so it cannot be combined with models.
background=True is not supported: Router queues the generation but serves no endpoint to read it back.
provider_timeout and timeout_before_headers control how long Router waits on an upstream provider before moving on to the next candidate.
Reasoning efforts are per-model and wider than OpenAI's. Values outside minimal/low/medium/high go through reasoning={"effort": ...}.
temperature and top_p are rejected by reasoning models, so leave them unset unless the model you picked accepts them.