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OpenAI Codex 0.167.2 shifts default tool updates to incremental on Vertex AI

The latest release changes how Codex sends tool updates on Google Cloud, allowing users to revert to legacy behavior via configuration.

Key points

  • OpenAI released Codex version 0.167.2 with changes to tool update transmission.
  • Users can disable this new default by setting a specific flag in their config.toml file.
OpenAI Codex 0.167.2 shifts default tool updates to incremental on Vertex AI
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1 outlet · newest source 1h ago

OpenAI published version 0.167.2 of its Codex client, introducing a change to how tool updates are transmitted on Google Cloud Vertex AI. According to the release notes for rust-v0.167.2, the system now sends tool updates incrementally by default in this environment.The 0.167.2 release alters the default tool update transmission protocol for Vertex AI deployments to an incremental model. This shift affects the baseline operation for users deploying Codex on Vertex AI, altering the previous default state for tool update delivery.

Evidence: confirmed0.167.2

aifleet-codex-releases

Evidence: reported0.167.2

aifleet-codex-releases

The figures

  • Version number: 0.167.2 (OpenAI Codex releases)
    Evidence: reported0.167.2

    aifleet-codex-releases

  • Previous version: 0.167.1 (OpenAI Codex releases)
    Evidence: reported0.167.2

    aifleet-codex-releases

  • Issue references: #60617 and #60848 (OpenAI Codex releases)
    Evidence: reported0.167.2

    aifleet-codex-releases

Behind the figures

The source material lists version numbers and associated issue identifiers but does not describe a methodology for measuring performance, latency, or accuracy. The numbers #60617 and #60848 are cited in the release notes without further explanation of their origin or resolution status. No independent benchmarks or third-party measurements are provided in the advisory.

What it means for your stack

To maintain the previous behavior, engineers must explicitly opt out by adding `incremental_tools_legacy_gcp = false` under the `[features]` section in their `config.toml` file. This configuration change is required to revert to the legacy update mechanism.

Building on this

Inference engineers can rely on the documented interface for opting out of incremental updates if their existing workflows depend on the legacy behavior. The capability to toggle this feature via `config.toml` allows for controlled testing of the new incremental transmission model. Developers should verify their deployment configurations to ensure they align with the new default, especially if automatic tool updates are critical to their pipeline stability.

Why it matters

  • The default change on Vertex AI may require configuration updates for existing deployments relying on the previous behavior.
  • The explicit opt-out mechanism provides a clear path for users who need to maintain legacy tool update patterns.
  • Reference to issues #60617 and #60848 suggests specific development work underpins this change, though details are not provided.
  • The release notes specify that the incremental update default applies to Google Cloud Vertex AI.

Topics: OpenAI, Codex, Vertex AI, configuration, release notes

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OpenAI published version 0.167.2 of its Codex client, introducing a change to how tool updates are transmitted on Google Cloud Vertex AI.

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Questions readers ask

Does this change affect all Cloud providers?

According to the release notes, the default incremental update behavior applies specifically to Google Cloud Vertex AI.

What issues does this release address?

The release notes reference issue numbers #60617 and #60848, but do not specify the nature of these issues.

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Reading receipt

  • OpenAI released Codex version 0.167.2 with changes to tool update transmission.
  • Users can disable this new default by setting a specific flag in their config.toml file.

Still open: What specific changes or fixes do issues #60617 and #60848 represent?

Still open: Are there any performance or reliability differences between incremental and legacy updates?

Time spent: 0:00 · Depth: Full

Sources

  1. OpenAI Codex releases

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