wangwei 91c0dab4f9 fix(advisor): fix LLM API call, wire advice_markdown to webapp, update .env.example timeouts ...

- llm_analyzer.py: use llm.langchain_llm.ainvoke() (correct RAGAS 0.4.3 API)
- webapp/models.py: add advice_markdown field to ReportData
- webapp/services/run_reader.py: add read_advice_markdown() reading optimization_advice.md
- webapp/services/report_builder.py: pass advice_markdown into ReportData
- .env.example: OPENAI_TIMEOUT_SECONDS 30→180, RAGAS_METRIC_TIMEOUT_SECONDS 45→300

Co-Authored-By: Claude <noreply@anthropic.com>

2026-06-16 17:12:32 +08:00

..

adapters

first commit

2026-06-12 14:02:15 +08:00

advisor

fix(advisor): fix LLM API call, wire advice_markdown to webapp, update .env.example timeouts

2026-06-16 17:12:32 +08:00

config

feat(advisor): add optimization advisor module

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dataset_builder

feat(dataset-builder): add retry logic and ASCII-safe logging for Siemens PDF pipeline

2026-06-15 23:06:33 +08:00

datasets

Add RAGAS evaluation web console (FastAPI + vanilla JS)

2026-06-15 15:53:57 +08:00

execution

feat(advisor): add optimization advisor module

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metrics

feat(advisor): add optimization advisor module

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reporting

feat(advisor): add optimization advisor module

2026-06-16 17:06:19 +08:00

shared

feat(advisor): add optimization advisor module

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__init__.py

first commit

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compat.py

first commit

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sample_rag_eval_dataset.csv

first commit

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settings.py

first commit

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