mirror of
https://github.com/microsoft/graphrag.git
synced 2025-06-26 23:19:58 +00:00

* Refactor config - Add new ModelConfig to represent LLM settings - Combines LLMParameters, ParallelizationParameters, encoding_model, and async_mode - Add top level models config that is a list of available LLM ModelConfigs - Remove LLMConfig inheritance and delete LLMConfig - Replace the inheritance with a model_id reference to the ModelConfig listed in the top level models config - Remove all fallbacks and hydration logic from create_graphrag_config - This removes the automatic env variable overrides - Support env variables within config files using Templating - This requires "$" to be escaped with extra "$" so ".*\\.txt$" becomes ".*\\.txt$$" - Update init content to initialize new config file with the ModelConfig structure * Use dict of ModelConfig instead of list * Add model validations and unit tests * Fix ruff checks * Add semversioner change * Fix unit tests * validate root_dir in pydantic model * Rename ModelConfig to LanguageModelConfig * Rename ModelConfigMissingError to LanguageModelConfigMissingError * Add validationg for unexpected API keys * Allow skipping pydantic validation for testing/mocking purposes. * Add default lm configs to verb tests * smoke test * remove config from flows to fix llm arg mapping * Fix embedding llm arg mapping * Remove timestamp from smoke test outputs * Remove unused "subworkflows" smoke test properties * Add models to smoke test configs * Update smoke test output path * Send logs to logs folder * Fix output path * Fix csv test file pattern * Update placeholder * Format * Instantiate default model configs * Fix unit tests for config defaults * Fix migration notebook * Remove create_pipeline_config * Remove several unused config models * Remove indexing embedding and input configs * Move embeddings function to config * Remove skip_workflows * Remove skip embeddings in favor of explicit naming * fix unit test spelling mistake * self.models[model_id] is already a language model. Remove redundant casting. * update validation errors to instruct users to rerun graphrag init * instantiate LanguageModelConfigs with validation * skip validation in unit tests * update verb tests to use default model settings instead of skipping validation * test using llm settings * cleanup verb tests * remove unsafe default model config * remove the ability to skip pydantic validation * remove None union types when default values are set * move vector_store from embeddings to top level of config and delete resolve_paths * update vector store settings * fix vector store and smoke tests * fix serializing vector_store settings * fix vector_store usage * fix vector_store type * support cli overrides for loading graphrag config * rename storage to output * Add --force flag to init * Remove run_id and resume, fix Drift config assignment * Ruff --------- Co-authored-by: Nathan Evans <github@talkswithnumbers.com> Co-authored-by: Alonso Guevara <alonsog@microsoft.com>