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@Verlintas Verlintas released this 11 Sep 16:28
· 24 commits to main since this release
v0.26.4
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v0.26.4 — 重要修复：带参数工具调用全部失败的问题

感谢真实设备反馈：部分模型下所有需要参数的工具调用（搜索、打开应用、应用列表等）都会失败，提示「收到的参数不是有效 JSON（JsonLiteral is not a JsonObject）」，而不带参数的工具正常。此问题会导致 AI 反复重试耗尽轮次。

根因（两端都有问题）

  1. 模型参数格式兼容：部分模型/网关会把参数双重编码（把整个 JSON 对象再包一层字符串）或夹带说明文字，旧解析层只认标准 JSON 对象，直接拒绝
  2. 流式分片合并缺陷：参数分片到达时不满足"前缀扩展"的片段会被静默丢弃，导致参数不完整

修复

  • 参数解析三层容错：标准 JSON 对象 → 双重编码自动解码 → 从文本中提取 {...} 对象；失败时保留原文片段便于诊断
  • 分片合并自适应：前缀增长 / 重复整发 / 乱序分片拼接 / 垃圾片段保护——不再丢任何分片
  • 新增 13 个单元测试覆盖上述所有解析场景

影响

搜索、打开应用、安装列表等所有带参数工具恢复正常；这也是此前「AI 连续写错指令」的根本原因之一。

SHA-256:

  • full: 06f0eb530a83e2c7795dd3f0a0cb0b215bc96ab319d56a647fe5219dd0820392
  • lite: c9435822ba5344bcca1dd46684c26700415d2c839945166e2ae28db75349baf5

v0.26.4 — Critical fix: parameterized tool calls all failing

Thanks to a real-device report: with some models, every tool call that takes parameters (search, open app, installed apps, etc.) failed with "received arguments are not valid JSON (JsonLiteral is not a JsonObject)", while no-argument tools worked. This made the AI burn rounds retrying.

Root causes (both ends)

  1. Argument format compatibility: some models/gateways double-encode arguments (the whole JSON object wrapped in a string) or wrap them in prose; the old parser only accepted a plain JSON object and rejected everything else
  2. Streaming fragment merge defect: argument fragments that didn't match prefix-growth were silently dropped, producing incomplete arguments

Fixes

  • Three-layer tolerant parsing: plain JSON object → double-encoded auto-decode → extract {...} span from text; failure keeps the raw payload snippet for diagnosis
  • Adaptive fragment merge: prefix growth / full resend / out-of-order concatenation / junk protection — no fragment is dropped anymore
  • 13 new unit tests covering every parsing scenario

Impact

Search, open-app, app lists and all parameterized tools work again; this was one of the root causes behind the AI "repeatedly writing wrong commands".

SHA-256:

  • full: 06f0eb530a83e2c7795dd3f0a0cb0b215bc96ab319d56a647fe5219dd0820392
  • lite: c9435822ba5344bcca1dd46684c26700415d2c839945166e2ae28db75349baf5
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