Google DeepMind expands AI safety partnership with SingaporeAnthropic finds over 10,000 vulnerabilities with Project GlasswingSynthID expands to Google Search and ChromeAnthropic updates vuln disclosure dashboardGoal mode now available across all Codex platformsCodex Thursday adds remote Mac controlAnthropic shares early Glasswing resultsAnthropic publishes early Project Glasswing resultsReleases new science-focused AI skills toolGemini 3.5 Flash released with enhanced research toolsGoogle ships ADK for Android/Kotlin v0.1.0Google launches ADK for Kotlin and Android 0.1.0Google expands Gemini for Home for developersGemini 3.5 Flash officially launchedAI solves long-standing open math problem for first timeGoogle announces Gemini Omni for video creationUse multiple agents with Gemini OmniOpenAI Introduces Guaranteed Capacity for Long-Term ComputeGemini for Science assists with research tasksSynthID watermark and verification tool added to AI imagesGoogle DeepMind expands AI safety partnership with SingaporeAnthropic finds over 10,000 vulnerabilities with Project GlasswingSynthID expands to Google Search and ChromeAnthropic updates vuln disclosure dashboardGoal mode now available across all Codex platformsCodex Thursday adds remote Mac controlAnthropic shares early Glasswing resultsAnthropic publishes early Project Glasswing resultsReleases new science-focused AI skills toolGemini 3.5 Flash released with enhanced research toolsGoogle ships ADK for Android/Kotlin v0.1.0Google launches ADK for Kotlin and Android 0.1.0Google expands Gemini for Home for developersGemini 3.5 Flash officially launchedAI solves long-standing open math problem for first timeGoogle announces Gemini Omni for video creationUse multiple agents with Gemini OmniOpenAI Introduces Guaranteed Capacity for Long-Term ComputeGemini for Science assists with research tasksSynthID watermark and verification tool added to AI images
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OpenAIGuides & TipsOfficial Docs

OpenAI shares operational tips in Codex Prompting Guide

Reduces agent failures while cutting wasted reads and tokens.

Key Points

  • 1Templates for parallel tool-calling
  • 2Recommends ~10k-token tool output truncation
  • 3Explains phase handling for long tasks
  • 4Batch file reads instead of one-by-one

OpenAI’s Codex Prompting Guide explains how to write instructions that work reliably for coding agents. It details parallel tool-calling workflows and how to truncate tool outputs to save tokens. It also notes implementation cautions like the phase parameter for longer tasks. Existing Codex integrations may benefit from revisiting state and parallelism assumptions.

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