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>
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@@ -73,6 +73,7 @@ class ReportData(BaseModel):
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groupings: dict[str, list[GroupStat]] = Field(default_factory=dict)
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lowest_samples: list[SampleScore] = Field(default_factory=list)
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summary_markdown: str = ""
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advice_markdown: str = "" # optimization_advice.md content (empty if not generated)
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class RunDetail(BaseModel):
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