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OpenAI Agents SDK citation loss linked to default temperature setting

An investigation into a benchmark for AI agent citation survival revealed that the OpenAI Agents SDK, when using GPT-4o mini, appeared to lose nearly half its citations compared to LangGraph. This discrepancy was not due to the agent loop, as both frameworks had similar loop counts and LangGraph maintained its citations. The primary suspect for the citation loss in the OpenAI Agents SDK was identified as the default temperature setting, which allowed for more randomness in the model's output compared to LangGraph's temperature of 0. AI

IMPACT Investigates potential issues with citation handling in AI agent frameworks, impacting reliability of RAG systems.

RANK_REASON Analysis of an AI agent framework's citation performance. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

OpenAI Agents SDK citation loss linked to default temperature setting

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Analysis of an AI agent framework's citation performance. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Md Ayan Arshad ·

    One Agent Framework Seemed to Lose Half Its Citations. Most Were Just Reformatted.

    <p><em>Five pre-registered experiments, one at a time, the moment reading the raw answers changed the conclusion, the re-score, and the three runs per setup that finally told me what was actually true.</em></p> <blockquote> <p><strong>Part 2 of 6 in the series <em>Citations at th…