Add deterministic random seed handling for reproducibility #98
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Set a default random seed (42) in the config and propagate it to LLM and database configurations for reproducibility. Generate component-specific seeds (e.g., for LLMs) using hashing, and ensure deterministic model selection in LLM ensembles. OpenAI LLMs now accept and use a seed parameter for reproducible outputs.
Update project version from 0.0.8 to 0.0.9 in both pyproject.toml and setup.py for a new release.
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…-add-seed-for-reproduciblity Add deterministic random seed handling for reproducibility
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Set a default random seed (42) in the config and propagate it to LLM and database configurations for reproducibility. Generate component-specific seeds (e.g., for LLMs) using hashing, and ensure deterministic model selection in LLM ensembles. OpenAI LLMs now accept and use a seed parameter for reproducible outputs.
fixes #97