* Require explicit azure auth settings when using AOI.
- Must set LanguageModel.azure_auth_type to either
"api_key" or "managed_identity" when using AOI.
* Fix smoke tests
* Use general auth_type property instead of azure_auth_type
* Remove unused error type
* Update validation
* Update validation comment
* added multi-global-query function header
* ported over code for merging dataframes
* added connection to global streaming api function
* added function header for update context helper
* implemented and incorperated update_context function
* Updated to make sure 'parent' column in final_communities gets incremented for multi index.
* first cut at multi_local_seach function
* several minor changes and fixes
* Updated multi index local search.
* Cleaned up code.
* fixed lambda function ruff errors
* fixed more ruff errors
* moved query api helpers to util file
* moved index api helpers to util file
* merged in code left out of conflict
* changed GraphRagConfig object to support lists of vector stores
* Updated with fixes for multi_local_search.
* Minor updates.
* Minor updates.
* Updates for ruff check.
* Minor updates.
* removed redundant vector_store_configs arg
* ruff formatting changes
* semversioner
* Minor fix.
* spellcheck fixes
* ruff
* test fix for cicd errors
* another test fix
* added explicit typing for ci tests
* added dict type check for vector_store during indexing
* more ruff fixes
* moved type check
* Removed streaming. Added multi drift and basic searches.
* Formatting changes.
* Updates for pyright.
* Update for ruff.
* Ruff formatted.
* first cut at fixing vector store typing errors
* got multi local search working with new config
* ruff and test fixes
* added fix for embeddings type error
* renamed multi index api functions
* ruff
* convert config model to dict[VectorStoreConfig]
* modified tests to support new vector_store model
* ruff fixes
* changed some test setups to match new model
* changed ci/cd settings files to match new structure
* Fix stderror check
* fixed bug in vector_store_config validation
* ruff
* add database_name field to vectorstoreconfig
* removed print statements
* small refactoring for PR comments
* modified default config in test
* modified vector store config unit test
---------
Co-authored-by: dorbaker <dorbaker@microsoft.com>
Co-authored-by: Alonso Guevara <alonsog@microsoft.com>
Updated the auto prompt tuning doc with `--selection-method` instead of only `--method` as per the latest API.
Co-authored-by: Alonso Guevara <alonsog@microsoft.com>
* 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>
* Add vector field to retrievable fields for Azure AI Search
* Add DRIFT and Basic search to smoke tests
* Semver
* Format
* Remove DRIFT smoke test for now (brittle)
* Adding basic wrappes for reduce in drift
* Add response_type parameter to run_drift_search and enhance reduce response functionality
* Add streaming endpoint
* Semver
* Spellcheck
* Ruff checks
* Count tokens on reduce
* Use list comprehension and remove llm_params map in favor of just using kwargs
* Add new inputs and missing vector store for retrieving vectors
* Format
* Semver
* Remove .Identifier files
* Fix spellcheck
* Remove unnecessary input file for notebooks
* add text_splitting unit test
* change folder test text splitting
* fix chunk fn
* test new function
* run formatter
* run spell check
* run semver
* remove tiktoken mocked from tests
* change progress ticker
* fix ruff check
Fixed an issue where the "proxy" setting was passed to the PublicOpenAPI constructor instead of the "api_base" parameter, disabling the use of on-premise OpenAI-based LLM servers
Co-authored-by: Alonso Guevara <alonsog@microsoft.com>
Co-authored-by: Josh Bradley <joshbradley@microsoft.com>
