tju-yxq opened a new issue, #2538:
URL: https://github.com/apache/rocketmq-dashboard/issues/2538

   ## Problem
   
   The AI endpoints currently accept user-controlled messages, command context, 
tool input, model selectors, and conversation identifiers without a shared size 
budget. These values are later serialized into provider requests or passed to a 
CLI process.
   
   The OpenAI-compatible client already caps non-streaming response bodies and 
streaming error bodies at 5 MiB, but a successful SSE response uses an 
unbounded `InputStream`. A provider can therefore keep sending data beyond the 
configured response budget, including a single line without an SSE delimiter.
   
   This makes the successful streaming path inconsistent with the other 
provider and CLI response paths, and allows request or response payloads to 
consume substantially more memory than the operation needs.
   
   ## Expected behavior
   
   - Reject oversized chat, command, context, tool, model, selector, and 
identifier fields before invoking a provider or registered tool.
   - Measure text limits in UTF-8 bytes, matching the encoding used for HTTP 
bodies and CLI arguments.
   - Apply the existing provider response-body budget to the total successful 
SSE stream as well as non-streaming and error responses.
   - Return stable 400/502 error codes so callers can distinguish oversized 
requests from oversized provider responses.
   - Keep existing payloads within the limits unchanged.
   
   ## Verification scope
   
   Tests should cover multibyte request boundaries, rejection before 
gateway/tool/CLI execution, configured-model validation, and an oversized 
successful SSE response. The full backend suite should remain green.
   


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