5 Commits (926d4cfda734852c21c66cf7821f7e02b462864a)

Author	SHA1	Message	Date
Predrag Gruevski	f94e24dfd7	Install and use `ruff format` instead of black for code formatting. (#12585) ... Best to review one commit at a time, since two of the commits are 100% autogenerated changes from running `ruff format`: - Install and use `ruff format` instead of black for code formatting. - Output of `ruff format .` in the `langchain` package. - Use `ruff format` in experimental package. - Format changes in experimental package by `ruff format`. - Manual formatting fixes to make `ruff .` pass.	11 months ago
Erick Friis	1861cc7100	General anthropic functions, steps towards experimental integration tests (#11727) ... To match change in js here https://github.com/langchain-ai/langchainjs/pull/2892 Some integration tests need a bit more work in experimental:  Pretty sure the sqldatabase ones are an actual regression or change in interface because it's returning a placeholder. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
maks-operlejn-ds	a8f804a618	Add data anonymizer (#9863) ... ### Description The feature for anonymizing data has been implemented. In order to protect private data, such as when querying external APIs (OpenAI), it is worth pseudonymizing sensitive data to maintain full privacy. Anonynization consists of two steps: 1. **Identification:** Identify all data fields that contain personally identifiable information (PII). 2. **Replacement**: Replace all PIIs with pseudo values or codes that do not reveal any personal information about the individual but can be used for reference. We're not using regular encryption, because the language model won't be able to understand the meaning or context of the encrypted data. We use *Microsoft Presidio* together with *Faker* framework for anonymization purposes because of the wide range of functionalities they provide. The full implementation is available in `PresidioAnonymizer`. ### Future works - **deanonymization** - add the ability to reverse anonymization. For example, the workflow could look like this: `anonymize -> LLMChain -> deanonymize`. By doing this, we will retain anonymity in requests to, for example, OpenAI, and then be able restore the original data. - **instance anonymization** - at this point, each occurrence of PII is treated as a separate entity and separately anonymized. Therefore, two occurrences of the name John Doe in the text will be changed to two different names. It is therefore worth introducing support for full instance detection, so that repeated occurrences are treated as a single object. ### Twitter handle @deepsense_ai / @MaksOpp --------- Co-authored-by: MaksOpp <maks.operlejn@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Martin Krasser	93260a9922	Fix broken `make` targets `format_diff` and `lint_diff` (#8344) ... Since the refactoring into sub-projects `libs/langchain` and `libs/experimental`, the `make` targets `format_diff` and `lint_diff` do not work anymore when running `make` from these subdirectories. Reason is that ``` PYTHON_FILES=$(shell git diff --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$') ``` generates paths from the project's root directory instead of the corresponding subdirectories. This PR fixes this by adding a `--relative` command line option. - Tag maintainer: @baskaryan	1 year ago
Harrison Chase	da04760de1	Harrison/move experimental (#8084)	1 year ago