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openaicodexai-agentsdeveloper-tools

Codex starts encrypting prompts, uses ciphertext for inference instead

Regression: encrypted MultiAgentV2 messages remove readable task audit trail · Issue #28058 · openai/codex

github.com

July 14, 2026

2 min read

🔥🔥🔥🔥🔥

66/100

Summary

Encrypted MultiAgentV2 messages in Codex CLI versions post-0.137.0 eliminate a readable task audit trail. This change results from the implementation of message payload encryption merged on June 5, 2026.

Key Takeaways

  • The implementation of encrypted MultiAgentV2 message payloads has made task and message content opaque, removing human-readable audit trails from local rollout history.
  • The regression affects the ability to answer basic questions regarding subagent tasks and messages, complicating audit and debugging processes.
  • A proposed solution is to maintain an encrypted message field for model delivery while adding a separate non-encrypted audit field for readable task text.
  • The issue is distinct from other reported problems, focusing specifically on the loss of auditability rather than validation failures for encrypted tool schemas.
Read original article

Coverage & discussions

Hacker News · github.com

Codex starts encrypting prompts, uses ciphertext for inference instead ↗

Community discussions

Hacker News discussion ↗

Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Community Sentiment

Mixed

Positives

  • The app-server's RPC API makes integration with Codex incredibly easy, which is a game-changer for developers looking to build on top of it.
  • Encryption is a smart move to prevent competitors from training their models on user data, ensuring that OpenAI maintains its edge.

Concerns

  • The implementation of encryption seems poorly executed, leaving paying users in the dark when something goes wrong with multi-agent management.
  • There are concerns that Codex is becoming less flexible, potentially limiting the use of subscriptions in alternative harnesses, which could frustrate users.

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