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Codex 0.167.0 integrates Google Cloud Vertex AI onboarding wizard and local image previews

The latest release adds Google Cloud Vertex AI onboarding and local image previews, alongside fixes for chat persistence and network prompts.

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1 outlet · newest source 228h ago
Codex 0.167.0 integrates Google Cloud Vertex AI onboarding wizard and local image previews

Key points

  • Users can now configure Google Cloud Vertex AI via a setup wizard using default credentials or files.
  • Local image attachments are previewable during composition on supported terminals.
  • Saved chats remain visible when switching model providers, and unread results are marked.

OpenAI Codex version 0.167.0 enables the gcp_setup_wizard to configure Google Cloud Vertex AI using Application Default Credentials or a credential file. The update also adds visual previews for local image attachments and improves session management across different model backends.This update makes it easier to connect to Google Cloud and view images directly in the terminal.Version 0.167.0 introduces `gcp_setup_wizard` for Vertex AI and refines session state management across backends.

Evidence: reported0.167.0

aifleet-codex-releases

The evidence

Enable the gcp_setup_wizard to configure Google Cloud Vertex AI with Application Default Credentials or a credential file. Additionally, the command center and session picker mark unread results, and users can preview local images while composing messages on compatible terminals.

The decision

The release addresses several workflow interruptions. Saved chats stay visible after switching model providers, and if a chat cannot resume, users can read the transcript and prepare an editable prompt for a new session. Network approval prompts close when their requests end, and concurrent requests to the same endpoint prompt one at a time.

What to make of it

Performance and memory usage see minor adjustments. Linux musl builds reduce idle memory after conversations unload by using fewer allocator arenas. Automatic context compaction now includes retained output from failed responses and those lacking token usage data. The app-server README also covers managed network constraints and command rules requiring fresh human approval.

In practice

Draft preservation during backend switching reduces friction when testing different models. However, these features depend on supported terminals and proper credential configuration.

Why it matters

  • Enabling Google Cloud Vertex AI setup with Application Default Credentials or a credential file expands cloud provider integration options.
  • Opting into macOS or Windows system proxy settings from /experimental simplifies network configuration for users on those operating systems.
  • Saving completed speech to chat history in long realtime V3 conversations ensures transcript continuity as the interaction grows.
  • Accounting for retained output from failed responses in automatic context compaction improves handling of responses with missing token usage data.

Topics: OpenAI, Codex, Vertex AI, terminal tools, developer experience

Updated

Try it

codex agents --no-daemon

Good result: Opens the agent command center without running a background daemon process.

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Questions readers ask

How do I set up Google Cloud Vertex AI in Codex 0.167.0?

Activate the gcp_setup_wizard to set up Google Cloud Vertex AI with Application Default Credentials or a credential file.

Does this version fix issues with saved chats?

Saved chats remain visible after switching model providers, and transcripts are available for review if a chat cannot resume.

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Reading receipt

  • Users can now configure Google Cloud Vertex AI via a setup wizard using default credentials or files.
  • Local image attachments are previewable during composition on supported terminals.
  • Saved chats remain visible when switching model providers, and unread results are marked.
Time spent: 0:00 · Depth: Full

Sources

  1. OpenAI Codex releases

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