langchain

Commit Graph

Author	SHA1	Message	Date
Leonid Ganeline	4cb5f4c353	community[patch]: import flattening fix (#20110 ) This PR should make it easier for linters to do type checking and for IDEs to jump to definition of code. See #20050 as a template for this PR. - As a byproduct: Added 3 missed `test_imports`. - Added missed `SolarChat` in to __init___.py Added it into test_import ut. - Added `# type: ignore` to fix linting. It is not clear, why linting errors appear after ^ changes. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Luca Dorigo	f19229c564	core[patch]: fix beta, deprecated typing (#18877 ) Description: While not technically incorrect, the TypeVar used for the `@beta` decorator prevented pyright (and thus most vscode users) from correctly seeing the types of functions/classes decorated with `@beta`. This is in part due to a small bug in pyright (https://github.com/microsoft/pyright/issues/7448 ) - however, the `Type` bound in the typevar `C = TypeVar("C", Type, Callable)` is not doing anything - classes are `Callables` by default, so by my understanding binding to `Type` does not actually provide any more safety - the modified annotation still works correctly for both functions, properties, and classes. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Kalyan Mudumby	d27600c6f7	community[patch]: GPTCache pydantic validation error on lookup (#19427 ) Description: this change fixes the pydantic validation error when looking up from GPTCache, the `ChatOpenAI` class returns `ChatGeneration` as response which is not handled. use the existing `_loads_generations` and `_dumps_generations` functions to handle it Trace ``` File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/development/scripts/chatbot-postgres-test.py", line 90, in <module> print(llm.invoke("tell me a joke")) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 166, in invoke self.generate_prompt( File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 544, in generate_prompt return self.generate(prompt_messages, stop=stop, callbacks=callbacks, kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 408, in generate raise e File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 398, in generate self._generate_with_cache( File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 585, in _generate_with_cache cache_val = llm_cache.lookup(prompt, llm_string) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_community/cache.py", line 807, in lookup return [ ^ File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_community/cache.py", line 808, in <listcomp> Generation(generation_dict) for generation_dict in json.loads(res) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/load/serializable.py", line 120, in __init__ super().__init__(**kwargs) File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/pydantic/v1/main.py", line 341, in __init__ raise validation_error pydantic.v1.error_wrappers.ValidationError: 1 validation error for Generation type unexpected value; permitted: 'Generation' (type=value_error.const; given=ChatGeneration; permitted=('Generation',)) ``` Although I don't seem to find any issues here, here's an [issue](https://github.com/zilliztech/GPTCache/issues/585) raised in GPTCache. Please let me know if I need to do anything else Thank you --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Aayush Kataria	03c38005cb	community[patch]: Fixing some caching issues for AzureCosmosDBSemanticCache (#18884 ) Fixing some issues for AzureCosmosDBSemanticCache - Added the entry for "AzureCosmosDBSemanticCache" which was missing in langchain/cache.py - Added application name when creating the MongoClient for the AzureCosmosDBVectorSearch, for tracking purposes. @baskaryan, can you please review this PR, we need this to go in asap. These are just small fixes which we found today in our testing.	6 months ago
Christophe Bornet	30e4a35d7a	community: Use langchain-astradb for AstraDB caches (#18419 ) - [x] Needs https://github.com/langchain-ai/langchain-datastax/pull/4 - [x] Needs a new release of langchain-astradb	6 months ago
Aayush Kataria	7c2f3f6f95	community[minor]: Adding Azure Cosmos Mongo vCore Vector DB Cache (#16856 ) Description: This pull request introduces several enhancements for Azure Cosmos Vector DB, primarily focused on improving caching and search capabilities using Azure Cosmos MongoDB vCore Vector DB. Here's a summary of the changes: - AzureCosmosDBSemanticCache: Added a new cache implementation called AzureCosmosDBSemanticCache, which utilizes Azure Cosmos MongoDB vCore Vector DB for efficient caching of semantic data. Added comprehensive test cases for AzureCosmosDBSemanticCache to ensure its correctness and robustness. These tests cover various scenarios and edge cases to validate the cache's behavior. - HNSW Vector Search: Added HNSW vector search functionality in the CosmosDB Vector Search module. This enhancement enables more efficient and accurate vector searches by utilizing the HNSW (Hierarchical Navigable Small World) algorithm. Added corresponding test cases to validate the HNSW vector search functionality in both AzureCosmosDBSemanticCache and AzureCosmosDBVectorSearch. These tests ensure the correctness and performance of the HNSW search algorithm. - LLM Caching Notebook - The notebook now includes a comprehensive example showcasing the usage of the AzureCosmosDBSemanticCache. This example highlights how the cache can be employed to efficiently store and retrieve semantic data. Additionally, the example provides default values for all parameters used within the AzureCosmosDBSemanticCache, ensuring clarity and ease of understanding for users who are new to the cache implementation. @hwchase17,@baskaryan, @eyurtsev,	6 months ago
Shashank	8381f859b4	community[patch]: Graceful handling of redis errors in RedisCache and AsyncRedisCache (#17171 ) - Description: The existing `RedisCache` implementation lacks proper handling for redis client failures, such as `ConnectionRefusedError`, leading to subsequent failures in pipeline components like LLM calls. This pull request aims to improve error handling for redis client issues, ensuring a more robust and graceful handling of such errors. - Issue: Fixes #16866 - Dependencies: No new dependency - Twitter handle: N/A Co-authored-by: snsten <> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	7 months ago
Christophe Bornet	b13e52b6ac	community[patch]: Fix AstraDBCache docstrings (#17802 )	7 months ago
Christophe Bornet	ca2d4078f3	community: Add async methods to AstraDBCache (#17415 ) Adds async methods to AstraDBCache	7 months ago
Philippe PRADOS	d07db457fc	community[patch]: Fix SQLAlchemyMd5Cache race condition (#16279 ) If the SQLAlchemyMd5Cache is shared among multiple processes, it is possible to encounter a race condition during the cache update. Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	7 months ago
Christophe Bornet	fb7552bfcf	Add async methods to InMemoryCache (#17425 ) Add async methods to InMemoryCache	7 months ago
Dmitry Kankalovich	f92738a6f6	langchain[minor], community[minor], core[minor]: Async Cache support and AsyncRedisCache (#15817 ) * This PR adds async methods to the LLM cache. * Adds an implementation using Redis called AsyncRedisCache. * Adds a docker compose file at the /docker to help spin up docker * Updates redis tests to use a context manager so flushing always happens by default	7 months ago
Christophe Bornet	9d458d089a	community: Factorize AstraDB components constructors (#16779 ) * Adds `AstraDBEnvironment` class and use it in `AstraDBLoader`, `AstraDBCache`, `AstraDBSemanticCache`, `AstraDBBaseStore` and `AstraDBChatMessageHistory` * Create an `AsyncAstraDB` if we only have an `AstraDB` and vice-versa so: * we always have an instance of `AstraDB` * we always have an instance of `AsyncAstraDB` for recent versions of astrapy * Create collection if not exists in `AstraDBBaseStore` * Some typing improvements Note: `AstraDB` `VectorStore` not using `AstraDBEnvironment` at the moment. This will be done after the `langchain-astradb` package is out.	7 months ago
Nuno Campos	7ce4cd0709	Do not issue beta or deprecation warnings on internal calls (#15641 )	8 months ago
Bagatur	a7d023aaf0	core[patch], community[patch]: mark runnable context, lc load as beta (#15603 )	8 months ago
Fran Cirka	8a4162d15e	community[patch]: Fixed issue with importing Row from sqlalchemy (#14488 ) - Description: Fixed import of Row in cache.py, - Issue: the issue # #13464 https://creditone.us.to/langchain-ai/langchain/issues/13464, - Dependencies: None, - Twitter handle: @frankybridman Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	9 months ago
Bagatur	ed58eeb9c5	community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463 ) Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes	9 months ago

17 Commits (e5f5d9ff563b6f71bb3ebbccac729c10fb851b3a)