Configure the Responses connection
The SeedRouter Codex guide contains the full setup and its recorded test results. Its configuration uses the Responses API and a named model connection in the user-level Codex configuration.
Add the relevant entries to ~/.codex/config.toml, preserving unrelated settings:
model = "gpt-6-sol"
model_provider = "seedrouter"
[model_providers.seedrouter]
name = "SeedRouter"
base_url = "https://api.seedrouter.ai/v1"
env_key = "SEEDROUTER_API_KEY"
wire_api = "responses"Then supply your own key through the environment:
export SEEDROUTER_API_KEY=sk-your-seedrouter-key
codexThe linked guide records Codex 0.157.0 behavior. Review its configuration notes when using a different version; do not copy context or reasoning limits from a different model.
Verify a coding task
Start in a project where you can inspect the diff and run a known check. Ask Codex to read a file, make one bounded change and report the actual check result. Confirm that the selected model handled the session by comparing the configuration with usage history.
The Kimi coding guide covers another model option. Use each guide's specific configuration and limitations rather than assuming every text model behaves identically in a coding client.
Account for the full session
Project instructions, tool definitions, repeated context and reasoning contribute to usage. The context-window guide explains capacity versus output limits; current prices provide the rates.
Codex controls local file access and command execution according to its configuration. SeedRouter supplies the model calls. The existing guide's tests remain historical evidence; this directory page does not report a new live coding benchmark.