Bihar fgd assessment 1.0.1 - #2
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…LM cost - Wrap per-PDF processing in batch_processor.py so one PDF's failure (bad scan, network error, malformed LLM response) can no longer crash the whole batch or block the Excel report from being written; failed PDFs are recorded once so re-running a folder never re-bills an already-attempted PDF. - Add progress/failure logging throughout the batch pipeline and a run-level fallback in main.py so a report is still produced even if something unexpected slips through. - Relax ResponseParser to default missing optional answer fields instead of discarding an entire otherwise-valid response, and tighten the prompt so the model is less likely to omit them. - Add a BIHAR_MAX_COMPLETION_TOKENS cap on the LLM completion call to bound the cost of reasoning-runaway responses. - Add merge/rebuild utility scripts used to consolidate multi-batch run results into single reports. - Remove unused legacy provider code (llm_provider.py, core/ai/openrouter_provider.py, core/ai/gemini_provider.py, core/analytics/pricing.py, core/analytics/api_usage_logger.py, config/model_pricing.yaml) superseded by core/ai/litellm_provider.py. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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