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## Why Embedding callers need to control whether model catalogs are persisted to disk. ## What changed - Accept a shared models manager when constructing `ThreadManager` instead of always creating a cached manager internally. - Add provider APIs for creating uncached model managers. OpenAI-compatible providers fetch on each `OnlineIfUncached` refresh without reading or writing `models_cache.json`. - Keep existing app server, MCP server, sample, and test callers on the standard cached manager. ## Testing - Verify an uncached manager fetches on every refresh. - Verify an injected uncached manager controls thread refresh behavior and does not create `models_cache.json`. GitOrigin-RevId: 8bb646054ecec4ccb865b2bf56249384916ea9db
ThreadManager Sample
Small one-shot binary that starts a Codex thread with ThreadManager from
codex-core-api, submits a single user turn, and prints the final assistant
message.
cargo run -p codex-thread-manager-sample -- "Say hello"
Use --model to override the configured default model:
cargo run -p codex-thread-manager-sample -- --model gpt-5.2 "Say hello"
The prompt can also be piped through stdin:
printf 'Say hello\n' | cargo run -p codex-thread-manager-sample