Skip to content

Move web research prompt guidance to appendix #2290

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
msingh-openai merged 1 commit into from
Dec 12, 2025
+19 −11
Merged

Move web research prompt guidance to appendix #2290

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
30 changes: 19 additions & 11 deletions examples/gpt-5/gpt-5-2_prompting_guide.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -396,8 +396,26 @@
"- Write clearly and directly using Markdown (headers, bullets, tables when helpful); define acronyms, use concrete examples, and keep a natural, conversational tone.\n",
"</web_search_rules>\n",
"```\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "bb16d1b9",
"metadata": {},
"source": [
"## 10. Conclusion \n",
"\n",
"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."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Appendix\n",
"\n",
"Optionally you can provide more detailed guidance as follows: \n",
"### Example prompt for a web research agent:\n",
"```\n",
"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",
"############################################\n",
Expand Down Expand Up @@ -497,16 +515,6 @@
"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",
"```\n"
]
},
{
"cell_type": "markdown",
"id": "bb16d1b9",
"metadata": {},
"source": [
"## 10. Conclusion \n",
"\n",
"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."
]
}
],
"metadata": {
Expand Down