- Implement stream.go with sideband passthrough support
- Update chat_handler.go with streaming handler changes
- Add run_dispatch.go with new dispatch service logic
- Add server tests for streaming and sideband functionality
- Archive old plan/code-review docs for cloud-G07
Remove all *_preview zap.String/Any fields from OpenAI-compatible log
calls (chat_handler, responses_handler, stream) so that prompt, content,
reasoning, source, and delta values are never written in plain to
operational logs.
Replace preview fields with non-content metadata:
- prompt_len, content_len, reasoning_len, delta_len, source_len
- message_count, content_len, finish_reason, tool_call_count
Also remove the now-unused previewString helper from types.go.
Add log_safety_test.go with regression tests that:
- verify no *_preview fields exist on any log line
- verify operational metadata fields are retained for observability
- verify logOpenAICompatStreamOutput does not emit delta_preview
vLLM-MLX provider-pool에서 strict output이 thinking을 끄지 않도록 하고, queue_timeout_ms=0을 IOP queue timeout 없음으로 해석해야 한다. long reasoning/long-context 요청은 IOP queue timeout이 아니라 caller cancellation과 backend timeout 정책으로 제어한다.
- Update control-plane edge wire and edge-node runtime wire contracts
- Refactor model queue service with admission control
- Update chat handler and responses handler for edge
- Modify run dispatch and status provider logic
- Add/modify runtime proto definitions
- Move G07 status logs to archive
- Add config refresh classification and test coverage
- Update OpenAI chat/responses/stream handlers with config refresh support
- Add comprehensive server tests for config refresh
- Update local dev guide with config refresh information
- Extend config package with ConfigRefresh field
- Add stream trace logging to edge server streamChatCompletion
- Add stream trace logging to node adapter openai_compat provider
- Enable trace via IOP_OPENAI_COMPAT_TRACE_STREAM env var or iop_trace_stream metadata
- Track content, reasoning, tool_calls chunks with think tag detection
Cline이 텍스트 XML 블록으로 도구 호출을 내보내는 경우 OpenAI-compatible tool_calls 응답으로 변환해야 클라이언트 실행 루프가 멈추지 않는다.
Node resource model 로드맵과 agent-task 문서는 요청된 전체 변경 범위에 포함한다.
