[FR] Detailed error reporting and retry/fallback mechanism for AskAI and MCP server
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评估
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 新手友好度
- 48/100
- Issue 类型
- 功能
- 描述清晰度
- 基本清楚
- 活跃度
- 活跃
- 技术栈
- typescript
- 领域
- api, backend, observability
调研方向
Start by locating the AskAI and MCP server request paths that call the inference endpoint, then trace where failures become the generic error. Done means endpoint details and status codes are surfaced and configurable retry or fallback behavior works for both paths; identify or add focused tests for these cases.
由索引模型根据 Issue 内容生成。
描述
Currently, when a request to the inference endpoint fails within the AskAI feature, the system returns a generic error stating that the operation failed. This lack of context makes debugging and troubleshooting difficult.
I would like to propose the following enhancements:
1- Detailed Error Reporting: Instead of masking the error, the system should surface the specific error details and status codes returned by the inference endpoint.
2- Retry and Fallback Mechanism: Introduce a configurable retry and/or fallback strategy for failed inference requests to improve resilience.
3- Scope Extension: Apply this same retry/fallback mechanism to the MCP server, as it currently suffers from the same generic failure behavior.
Implementing these changes will significantly improve the observability of the system and provide a more robust experience for both the AskAI feature and the MCP server.
- 主要语言
- TypeScript
- 星标
- 3.9k
- 派生
- 374
- 平均合并
- 21 小时 18 分钟
- 30 天内合并 PR
- 39
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