dosubot[bot] commented on issue #333:
URL: https://github.com/apache/hugegraph-ai/issues/333#issuecomment-4477445921

   <!-- Answer -->
   Thanks for the detailed report! I looked into the affected components and 
can confirm your findings:
   
   **1. Uvicorn `reload=True`**: Confirmed hardcoded at line 205 with no 
environment variable or CLI flag to control it 
[[1]](https://github.com/apache/hugegraph-ai/blob/4dd6a1642f203406403539ef0d96d7d378dfbaef/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/app.py#L200-L206).
 Adding something like `--reload` to the existing argparse or an 
`UVICORN_RELOAD` env var would be a straightforward fix.
   
   **2. Keyword extraction parser**: The `_extract_keywords_from_response` 
method 
[[2]](https://github.com/apache/hugegraph-ai/blob/4dd6a1642f203406403539ef0d96d7d378dfbaef/hugegraph-llm/src/hugegraph_llm/operators/llm_op/keyword_extract.py#L146-L180)
 does raw regex splitting on `KEYWORDS:` tokens and colon/comma delimiters with 
**no markdown code block handling whatsoever**. This is in contrast to other 
parts of the codebase that already handle this — for example, 
`GremlinGenerateSynthesize._extract_response()` 
[[3]](https://github.com/apache/hugegraph-ai/blob/4dd6a1642f203406403539ef0d96d7d378dfbaef/hugegraph-llm/src/hugegraph_llm/operators/llm_op/gremlin_generate.py#L45-L49)
 and `SchemaBuilder._extract_schema()` 
[[4]](https://github.com/apache/hugegraph-ai/blob/4dd6a1642f203406403539ef0d96d7d378dfbaef/hugegraph-llm/src/hugegraph_llm/operators/llm_op/schema_build.py#L76-L80)
 both use patterns like `re.search(r"```(?:json)?\s*(.*?)```", response, 
re.DOTALL)` to strip markdown fenc
 es before parsing.
   
   The fix from PR #332 
[[5]](https://github.com/apache/incubator-hugegraph-ai/pull/192) uses a similar 
approach — stripping markdown code fences with `re.sub(r"```\w*\n?", "", text)` 
before attempting JSON extraction. Applying the same pattern to keyword 
extraction would be straightforward: strip any markdown fences from the LLM 
response before searching for the `KEYWORDS:` token.
   
   A possible patch for `keyword_extract.py` would look something like:
   
   ```python
   # Strip markdown code blocks before parsing
   import re
   response = re.sub(r"```\w*\n?", "", response)
   response = re.sub(r"```", "", response)
   response = response.strip()
   ```
   
   Added before the existing token-based extraction logic.
   
   There might also be value in consolidating these markdown-stripping patterns 
into a shared utility, since at least 4 different operators implement their own 
version independently.
   
   
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