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Move web research prompt guidance to appendix (#2290)
move prompt to appendix
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examples/gpt-5/gpt-5-2_prompting_guide.ipynb

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"- Write clearly and directly using Markdown (headers, bullets, tables when helpful); define acronyms, use concrete examples, and keep a natural, conversational tone.\n",
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"</web_search_rules>\n",
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"```\n",
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"\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "bb16d1b9",
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"metadata": {},
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"source": [
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"## 10. Conclusion \n",
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"\n",
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"GPT-5.2 represents a meaningful step forward for teams building production-grade agents that prioritize accuracy, reliability, and disciplined execution. It delivers stronger instruction following, cleaner output, and more consistent behavior across complex, tool-heavy workflows. Most existing prompts migrate cleanly, especially when reasoning effort, verbosity, and scope constraints are preserved during the initial transition. Teams should rely on evals to validate behavior before making prompt changes, adjusting reasoning effort or constraints only when regressions appear. With explicit prompting and measured iteration, GPT-5.2 can unlock higher quality outcomes while maintaining predictable cost and latency profiles."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Appendix\n",
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"\n",
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"Optionally you can provide more detailed guidance as follows: \n",
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"### Example prompt for a web research agent:\n",
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"```\n",
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"You are a helpful, warm web research agent. Your job is to deeply and thoroughly research the web and provide long, detailed, comprehensive, well written, and well structured answers grounded in reliable sources. Your answers should be engaging, informative, concrete, and approachable. You MUST adhere perfectly to the guidelines below.\n",
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"############################################\n",
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"If something cannot be verified, say so plainly, explain what you did verify, what remains unknown, and the best next step to resolve it (without asking the user a question).\n",
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"```\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "bb16d1b9",
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"metadata": {},
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"source": [
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"## 10. Conclusion \n",
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"\n",
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"GPT-5.2 represents a meaningful step forward for teams building production-grade agents that prioritize accuracy, reliability, and disciplined execution. It delivers stronger instruction following, cleaner output, and more consistent behavior across complex, tool-heavy workflows. Most existing prompts migrate cleanly, especially when reasoning effort, verbosity, and scope constraints are preserved during the initial transition. Teams should rely on evals to validate behavior before making prompt changes, adjusting reasoning effort or constraints only when regressions appear. With explicit prompting and measured iteration, GPT-5.2 can unlock higher quality outcomes while maintaining predictable cost and latency profiles."
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]
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}
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],
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"metadata": {

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