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llama-server API fails to flag truncated replies, risking agent errors

The llama-server's Responses API incorrectly marks truncated replies and tool calls as completed, unlike the chat completions endpoint which correctly identifies length-based cutoffs. This behavior can lead clients to treat incomplete responses as finished or process malformed tool arguments. The issue stems from how the Responses API converts requests to the chat completions format but fails to propagate the "finish_reason" status, potentially causing agents relying on this API to misinterpret model outputs. AI

IMPACT This bug could lead to unreliable behavior in AI agents that depend on the llama-server's Responses API, potentially causing them to misinterpret model outputs or process invalid tool calls.

RANK_REASON This item details a bug in a specific API implementation (llama-server) that affects how AI model responses are handled, rather than a new model release or significant industry event.

Read on dev.to — LLM tag →

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

llama-server API fails to flag truncated replies, risking agent errors

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0 / 100
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Tool
This item details a bug in a specific API implementation (llama-server) that affects how AI model responses are handled, rather than a new model release or significant industry event.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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High
Clearly on-topic for AI-industry coverage.
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6 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · The Homelab Postmortem ·

    llama-server's Responses API marks truncated replies and tool calls as completed

    <p><strong>TL;DR</strong>: llama-server's OpenAI-compatible <code>/v1/responses</code> endpoint never reports a reply as cut off. On llama.cpp b11753, a request with <code>max_output_tokens: 8</code> came back with <code>"status": "completed"</code>, <code>incomplete_details: nul…