Ask GPT Codex a question or brainstorm an idea. Codex acts as a critical thinking partner — it will challenge assumptions and surface risks.

Send code to GPT Codex for critical review. Codex will look for bugs, security issues, performance problems, and design flaws.

Collaboratively plan an implementation with GPT Codex. Describe the problem and constraints, get a concrete approach with trade-offs and alternatives.

Deep-dive research via GPT Codex. Multi-turn: Codex surveys the topic, drills into gaps, then synthesizes findings. Can take minutes — trades speed for depth. Use for architecture exploration, library evaluation, or understanding unfamiliar codebases.

Structured root-cause analysis via GPT Codex. Multi-turn: Codex generates hypotheses, tests them against the code and web sources, then delivers a verdict with evidence chain. Can take minutes. Use for hard-to-find bugs, unexpected behavior, or production incidents.

Analyze a git diff to identify risk zones and recommend the right collaboration depth. Returns risk score, affected categories, and whether to use codex_ask, codex_review, or codex_plan+review.

Get round-trip statistics for this session's Claude ↔ Codex collaboration. Shows number of exchanges, latency breakdown, and per-tool usage.

List active in-memory sessions with recency and activity summary. Useful when running multiple clients against one bridge process.

Reset the conversation session with Codex. Clears history and stats. Use when starting a new topic.