[Cherry-Pick][Optimization]Fix tool parser (#7079)

[luukunn]

• fix tool parser

Motivation

💡 If this PR is a Cherry Pick, the PR title needs to follow the format by adding the [Cherry-Pick] label at the very beginning and appending the original PR ID at the end. For example, [Cherry-Pick][CI] Add check trigger and logic(#5191)

💡 如若此PR是Cherry Pick，PR标题需遵循格式，在最开始加上[Cherry-Pick]标签，以及最后面加上原PR ID，例如[Cherry-Pick][CI] Add check trigger and logic(#5191)

Modifications

Usage or Command

Accuracy Tests

Checklist

• Add at least a tag in the PR title.
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• Add unit tests. Please write the reason in this PR if no unit tests.
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[paddle-bot]

Thanks for your contribution!

[Copilot]

Pull request overview

该 PR 旨在修复/优化 OpenAI 工具调用（tool call）解析逻辑，主要聚焦于 Ernie X1 的工具解析与流式解析路径，并补充了更大范围的单元测试覆盖。

Changes:

• 重构 ErnieX1ToolParser.extract_tool_calls：改为通过正则提取 <tool_call>...</tool_call> 并直接 json.loads 解析。
• 重构 ErnieX1ToolParser.extract_tool_calls_streaming：基于文本计数与 partial_json_parser 的流式增量解析逻辑。
• 大幅扩充 test_ernie_x1_tool_parser.py 的用例覆盖；并在 ernie_45_vl_thinking_tool_parser.py 移除对空 chunk 的显式跳过逻辑。

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 5 comments.

File	Description
fastdeploy/entrypoints/openai/tool_parsers/ernie_x1_tool_parser.py	重构 Ernie X1 的非流式/流式工具解析实现，并调整日志与解析策略。
tests/entrypoints/openai/tool_parsers/test_ernie_x1_tool_parser.py	补充大量针对 Ernie X1 工具解析的单测覆盖与分支覆盖。
fastdeploy/entrypoints/openai/tool_parsers/ernie_45_vl_thinking_tool_parser.py	移除流式解析中对空白 chunk 的提前 return。

[codecov-commenter]

Codecov Report

❌ Patch coverage is 93.47826% with 9 lines in your changes missing coverage. Please review.
⚠️ Please upload report for BASE (release/2.4@57b97d3). Learn more about missing BASE report.

Files with missing lines	Patch %	Lines
...points/openai/tool_parsers/ernie_x1_tool_parser.py	93.47%	5 Missing and 4 partials ⚠️

Additional details and impacted files

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##             release/2.4    #7149   +/-   ##
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  Hits                   ?    24061           
  Misses                 ?    16683           
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