fix: 识别引用消息的图片时优先使用默认图片转述提供商

[Soulter]

closes: #2821

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Motivation / 动机

fix: 识别引用消息的图片时优先使用默认图片转述提供商

closes: #2821

Modifications / 改动点

fix: 识别引用消息的图片时优先使用默认图片转述提供商

closes: #2821

Verification Steps / 验证步骤

配置使用默认图片转述提供商，然后在 QQ 中引用带有图片的消息

Screenshots or Test Results / 运行截图或测试结果

Compatibility & Breaking Changes / 兼容性与破坏性变更

• 这是一个破坏性变更 (Breaking Change)。/ This is a breaking change.
• 这不是一个破坏性变更。/ This is NOT a breaking change.

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Checklist / 检查清单

• 😊 如果 PR 中有新加入的功能，已经通过 Issue / 邮件等方式和作者讨论过。/ If there are new features added in the PR, I have discussed it with the authors through issues/emails, etc.
• 👀 我的更改经过了良好的测试，并已在上方提供了“验证步骤”和“运行截图”。/ My changes have been well-tested, and "Verification Steps" and "Screenshots" have been provided above.
• 🤓 我确保没有引入新依赖库，或者引入了新依赖库的同时将其添加到了 requirements.txt 和 pyproject.toml 文件相应位置。/ I have ensured that no new dependencies are introduced, OR if new dependencies are introduced, they have been added to the appropriate locations in requirements.txt and pyproject.toml.
• 😮 我的更改没有引入恶意代码。/ My changes do not introduce malicious code.

[sourcery-ai]

你好 - 我已经审阅了你的修改，它们看起来很棒！

AI 代理的提示

请解决此代码审查中的评论：

## 单独的评论

### 评论 1
<location> `packages/astrbot/main.py:1323-1324` </location>
<code_context>
+                        prov = self.context.get_using_provider(
+                            event.unified_msg_origin
+                        )
+                    if prov:
                         llm_resp = await prov.text_chat(
                             prompt="Please describe the image content.",
                             image_urls=[await image_seg.convert_to_file_path()],
</code_context>

<issue_to_address>
**suggestion:** 考虑处理 `prov` 在两次查找后仍然为 `None` 的情况。

如果两次查找都失败，请添加一个 `else` 分支来处理或记录这种情况，因为这可能预示着配置或运行时问题。
</issue_to_address>

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Original comment in English

Hey there - I've reviewed your changes and they look great!

Prompt for AI Agents

Please address the comments from this code review:

## Individual Comments

### Comment 1
<location> `packages/astrbot/main.py:1323-1324` </location>
<code_context>
+                        prov = self.context.get_using_provider(
+                            event.unified_msg_origin
+                        )
+                    if prov:
                         llm_resp = await prov.text_chat(
                             prompt="Please describe the image content.",
                             image_urls=[await image_seg.convert_to_file_path()],
</code_context>

<issue_to_address>
**suggestion:** Consider handling the case where prov is still None after both lookups.

If both lookups fail, add an else branch to handle or log this case, as it could signal a configuration or runtime problem.
</issue_to_address>

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