А ну и напоследок - у кодекса появилось оказывается ДОХУИЩЕ флажков которыми мож

Ну и там есть вебхуки тоже, что значит что эту же хуйню которую я только что сделал для клода можно клонировать и на кодекс)

Вот список всех флажков для конфига, если кто о них еще не знает:

Best Power Knobs
If your goal is “full possible power mode”, these are the highest-value unused public options:

agents.max_threads: raises concurrent subagent count; this is one of the biggest real “power” knobs. Official default is 6 when unset.
agents.max_depth: lets spawned agents spawn more agents. Default is 1 when unset.
agents.job_max_runtime_seconds: increases worker timeout for long delegated jobs.
web_search: explicitly set search mode. live is the strongest/most current mode.
tools.web_search: tunes search with context_size = "low|medium|high", allowed_domains, and location { country, region, city, timezone }.
tools.view_image: explicitly keeps local image viewing enabled.
review_model: separate stronger model just for /review.
model_reasoning_summary: auto | concise | detailed | none; useful if you want maximum visibility into what Codex is doing.
model_verbosity: low | medium | high; useful if you want fuller answers and richer summaries.
service_tier: flex | fast; this affects responsiveness, not raw intelligence.
model_instructions_file: lets you add a permanent instruction file in addition to or instead of relying on AGENTS.md.
features.codex_hooks: experimental lifecycle hooks. Powerful, but only if you actually want automation around turns.
mcp_servers.<id>.tool_timeout_sec: important if some MCP tools are timing out before finishing.
mcp_servers.<id>.required: forces startup failure if a critical MCP server is unavailable.
Unused Public Options
Grouped by family, with what each one does:

review_model: override model used only by /review.

model_provider: choose which configured provider to use instead of the built-in OpenAI provider.

openai_base_url: override the built-in OpenAI provider base URL.

model_context_window: manual context window token setting for the active model.

model_auto_compact_token_limit: token threshold for automatic history compaction.

model_catalog_json: load a custom model catalog file.

model_instructions_file: replace built-in instructions with a file.

model_reasoning_summary: control reasoning summary detail.

model_supports_reasoning_summaries: force-enable or force-disable reasoning metadata handling.