langchain

Commit Graph

Author	SHA1	Message	Date
Baichuan Sun	6157bdf9d9	Add API Header for Amazon API Gateway Authentication (#6902 ) Add API Headers support for Amazon API Gateway to enable Authentication using DynamoDB. <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @dev2049 - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @dev2049 - Memory: @hwchase17 - Agents / Tools / Toolkits: @vowelparrot - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Harrison Chase	8502117f62	bump version to 219 (#6899 )	1 year ago
Pablo	6370808d41	Adding support for async (_acall) for VertexAICommon LLM (#5588 ) # Adding support for async (_acall) for VertexAICommon LLM This PR implements the `_acall` method under `_VertexAICommon`. Because VertexAI itself does not provide an async interface, I implemented it via a ThreadPoolExecutor that can delegate execution of VertexAI calls to other threads. Twitter handle: @polecitoem : ) ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: fyi - @agola11 for async functionality fyi - @Ark-kun from VertexAI	1 year ago
Harrison Chase	3ac08c3de4	Harrison/octo ml (#6897 ) Co-authored-by: Bassem Yacoube <125713079+AI-Bassem@users.noreply.github.com> Co-authored-by: Shotaro Kohama <khmshtr28@gmail.com> Co-authored-by: Rian Dolphin <34861538+rian-dolphin@users.noreply.github.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com> Co-authored-by: Shashank Deshpande <shashankdeshpande18@gmail.com>	1 year ago
Harrison Chase	e9877ea8b1	Tiktoken override (#6697 )	1 year ago
Ankush Gola	e1b801be36	split up batch llm calls into separate runs (#5804 )	1 year ago
Baichuan Sun	9fbe346860	Amazon API Gateway hosted LLM (#6673 ) This PR adds a new LLM class for the Amazon API Gateway hosted LLM. The PR also includes example notebooks for using the LLM class in an Agent chain. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
kourosh hakhamaneshi	f6fdabd20b	Fix ray-project/Aviary integration (#6607 ) - Description: The aviary integration has changed url link. This PR provide fix for those changes and also it makes providing the input URL optional to the API (since they can be set via env variables). - Issue: N/A - Dependencies: N/A - Twitter handle: N/A --------- Signed-off-by: Kourosh Hakhamaneshi <kourosh@anyscale.com>	1 year ago
minhajul-clarifai	6e57306a13	Clarifai integration (#5954 ) # Changes This PR adds [Clarifai](https://www.clarifai.com/) integration to Langchain. Clarifai is an end-to-end AI Platform. Clarifai offers user the ability to use many types of LLM (OpenAI, cohere, ect and other open source models). As well, a clarifai app can be treated as a vector database to upload and retrieve data. The integrations includes: - Clarifai LLM integration: Clarifai supports many types of language model that users can utilize for their application - Clarifai VectorDB: A Clarifai application can hold data and embeddings. You can run semantic search with the embeddings #### Before submitting - [x] Added integration test for LLM - [x] Added integration test for VectorDB - [x] Added notebook for LLM - [x] Added notebook for VectorDB Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Davis Chase	d50de2728f	Add AzureML endpoint LLM wrapper (#6580 ) ### Description We have added a new LLM integration `azureml_endpoint` that allows users to leverage models from the AzureML platform. Microsoft recently announced the release of [Azure Foundation Models](https://learn.microsoft.com/en-us/azure/machine-learning/concept-foundation-models?view=azureml-api-2) which users can find in the AzureML Model Catalog. The Model Catalog contains a variety of open source and Hugging Face models that users can deploy on AzureML. The `azureml_endpoint` allows LangChain users to use the deployed Azure Foundation Models. ### Dependencies No added dependencies were required for the change. ### Tests Integration tests were added in `tests/integration_tests/llms/test_azureml_endpoint.py`. ### Notebook A Jupyter notebook demonstrating how to use `azureml_endpoint` was added to `docs/modules/llms/integrations/azureml_endpoint_example.ipynb`. ### Twitters [Prakhar Gupta](https://twitter.com/prakhar_in) [Matthew DeGuzman](https://twitter.com/matthew_d13) --------- Co-authored-by: Matthew DeGuzman <91019033+matthewdeguzman@users.noreply.github.com> Co-authored-by: prakharg-msft <75808410+prakharg-msft@users.noreply.github.com>	1 year ago
Davis Chase	4fabd02d25	Add OpenLLM wrapper(#6578 ) LLM wrapper for models served with OpenLLM --------- Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com> Authored-by: Aaron Pham <29749331+aarnphm@users.noreply.github.com> Co-authored-by: Chaoyu <paranoyang@gmail.com>	1 year ago
Elijah Tarr	e0f468f6c1	Update model token mappings/cost to include 0613 models (#6122 ) Add `gpt-3.5-turbo-16k` to model token mappings, as per the following new OpenAI blog post: https://openai.com/blog/function-calling-and-other-api-updates Fixes #6118 Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Mircea Pasoi	2e024823d2	Add async support for HuggingFaceTextGenInference (#6507 ) Adding support for async calls in `HuggingFaceTextGenInference` Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Hassan Ouda	456ca3d587	Be able to use Codey models on Vertex AI (#6354 ) Added the functionality to leverage 3 new Codey models from Vertex AI: - code-bison - Code generation using the existing LLM integration - code-gecko - Code completion using the existing LLM integration - codechat-bison - Code chat using the existing chat_model integration --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Bryce Drennan	384fa43fc3	fix: llm caching for replicate (#6396 ) Caching wasn't accounting for which model was used so a result for the first executed model would return for the same prompt on a different model. This was because `Replicate._identifying_params` did not include the `model` parameter. FYI - @cbh123 - @hwchase17 - @agola11	1 year ago
zengbo	7e5f5ebf86	Fix the issue where ANTHROPIC_API_URL set in environment is not takin… (#6400 ) I apologize for the error: the 'ANTHROPIC_API_URL' environment variable doesn't take effect if the 'anthropic_api_url' parameter has a default value. #### Who can review? Models - @hwchase17 - @agola11	1 year ago
kYLe	3a58c4c3a0	Fixed a link typo /-/route -> /-/routes. and change endpoint format (#6186 ) <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> Fixes a link typo from `/-/route` to `/-/routes`. and change endpoint format from `f"{self.anyscale_service_url}/{self.anyscale_service_route}"` to `f"{self.anyscale_service_url}{self.anyscale_service_route}"` Also adding documentation about the format of the endpoint #### Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> #### Who can review? Tag maintainers/contributors who might be interested: <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @hwchase17 VectorStores / Retrievers / Memory - @dev2049 --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
ikebo	ca7a44d024	add max_context_size property in BaseOpenAI (#6239 ) Hi, I make a small improvement for BaseOpenAI. I added a max_context_size attribute to BaseOpenAI so that we can get the max context size directly instead of only getting the maximum token size of the prompt through the max_tokens_for_prompt method. Who can review? @hwchase17 @agola11 I followed the [Common Tasks](`c7db9febb0/.github/CONTRIBUTING.md`), the test is all passed. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Jan Pawellek	3e3ed8c5c9	Fix LLM types so that they can be loaded from config dicts (#6235 ) LLM configurations can be loaded from a Python dict (or JSON file deserialized as dict) using the [load_llm_from_config](`8e1a7a8646/langchain/llms/loading.py (L12)`) function. However, the type string in the `type_to_cls_dict` lookup dict differs from the type string defined in some LLM classes. This means that the LLM object can be saved, but not loaded again, because the type strings differ.	1 year ago
Jan Pawellek	ea6a5b03e0	Fix output final text for HuggingFaceTextGenInference when streaming (#6211 ) The LLM integration [HuggingFaceTextGenInference](https://github.com/hwchase17/langchain/blob/master/langchain/llms/huggingface_text_gen_inference.py) already has streaming support. However, when streaming is enabled, it always returns an empty string as the final output text when the LLM is finished. This is because `text` is instantiated with an empty string and never updated. This PR fixes the collection of the final output text by concatenating new tokens.	1 year ago
Leonid Ganeline	c7ca350cd3	Fix class promotion (#6187 ) In LangChain, all module classes are enumerated in the `__init__.py` file of the correspondent module. But some classes were missed and were not included in the module `__init__.py` This PR: - added the missed classes to the module `__init__.py` files - `__init__.py:__all_` variable value (a list of the class names) was sorted - `langchain.tools.sql_database.tool.QueryCheckerTool` was renamed into the `QuerySQLCheckerTool` because it conflicted with `langchain.tools.spark_sql.tool.QueryCheckerTool` - changes to `pyproject.toml`: - added `pgvector` to `pyproject.toml:extended_testing` - added `pandas` to `pyproject.toml:[tool.poetry.group.test.dependencies]` - commented out the `streamlit` from `collbacks/__init__.py`, It is because now the `streamlit` requires Python >=3.7, !=3.9.7 - fixed duplicate names in `tools` - fixed correspondent ut-s #### Who can review? @hwchase17 @dev2049	1 year ago
Nuno Campos	e194dc5306	Make lckwargs private (#6344 ) <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> Fixes # (issue) #### Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> #### Who can review? Tag maintainers/contributors who might be interested: <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @hwchase17 VectorStores / Retrievers / Memory - @dev2049 -->	1 year ago
zengbo	5d5298087f	Custom Anthropic API URL (#6221 ) [Feature] User can custom the Anthropic API URL #### Who can review? Tag maintainers/contributors who might be interested: Models - @hwchase17 - @agola11	1 year ago
lonestriker	6f36f0f930	Add oobabooga/text-generation-webui support as a llm (#5997 ) Add oobabooga/text-generation-webui support as an LLM. Currently, supports using text-generation-webui's non-streaming API interface. Allows users who already have text-gen running to use the same models with langchain. #### Before submitting Simple usage, similar to existing LLM supported: ``` from langchain.llms import TextGen llm = TextGen(model_url = "http://localhost:5000") ``` #### Who can review? @hwchase17 - project lead --------- Co-authored-by: Hien Ngo <Hien.Ngo@adia.ae>	1 year ago
Ja-sonYun	cdd1d78bf2	make modelname_to_contextsize as a staticmethod (#6040 ) <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> Fixes ##6039 #### Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> #### Who can review? Tag maintainers/contributors who might be interested: @hwchase17　@agola11 <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @hwchase17 VectorStores / Retrievers / Memory - @dev2049 -->	1 year ago
Daniel King	a9b97aa6f4	Update output format of MosaicML endpoint to be more flexible (#6060 ) There will likely be another change or two coming over the next couple weeks as we stabilize the API, but putting this one in now which just makes the integration a bit more flexible with the response output format. ``` (langchain) danielking@MML-1B940F4333E2 langchain % pytest tests/integration_tests/llms/test_mosaicml.py tests/integration_tests/embeddings/test_mosaicml.py =================================================================================== test session starts =================================================================================== platform darwin -- Python 3.10.11, pytest-7.3.1, pluggy-1.0.0 rootdir: /Users/danielking/github/langchain configfile: pyproject.toml plugins: asyncio-0.20.3, mock-3.10.0, dotenv-0.5.2, cov-4.0.0, anyio-3.6.2 asyncio: mode=strict collected 12 items tests/integration_tests/llms/test_mosaicml.py ...... [ 50%] tests/integration_tests/embeddings/test_mosaicml.py ...... [100%] =================================================================================== slowest 5 durations =================================================================================== 4.76s call tests/integration_tests/llms/test_mosaicml.py::test_retry_logic 4.74s call tests/integration_tests/llms/test_mosaicml.py::test_mosaicml_llm_call 4.13s call tests/integration_tests/llms/test_mosaicml.py::test_instruct_prompt 0.91s call tests/integration_tests/llms/test_mosaicml.py::test_short_retry_does_not_loop 0.66s call tests/integration_tests/llms/test_mosaicml.py::test_mosaicml_extra_kwargs =================================================================================== 12 passed in 19.70s =================================================================================== ``` #### Who can review? @hwchase17 @dev2049	1 year ago
Zander Chase	ae76e473e1	Add Tags for LLMs (#6229 ) - [x] Add tracing tags to LLMs + Chat Models (both inheritable and local) - [x] Add tags for the run_on_dataset helper function(s)	1 year ago
Nuno Campos	18af149e91	nc/load (#5733 ) Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	704d56e241	support kwargs (#5990 )	1 year ago
Lior	0eb1bc1a02	Fix the issue where the parameters passed to VertexAI ignored #5889 (#5891 ) Fixes #5889 and fixes the name of the argument in init_vertexai @hwchase17 @agola11 Co-authored-by: Lior Durahly <lior.durahly@superwise.ai>	1 year ago
Fei Wang	63fcf41bea	Fix openai proxy error (#5914 ) Fixes proxy error. Since openai does not parse proxy parameters and uses openai.proxy directly, the proxy method needs to be modified. `7610c5adfa/openai/api_requestor.py (LL90)` #### Who can review? @hwchase17 - project lead Models - @hwchase17 - @agola11 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Philip Kiely - Baseten	a09a0e3511	Baseten integration (#5862 ) This PR adds a Baseten integration. I've done my best to follow the contributor's guidelines and add docs, an example notebook, and an integration test modeled after similar integrations' test. Please let me know if there is anything I can do to improve the PR. When it is merged, please tag https://twitter.com/basetenco and https://twitter.com/philip_kiely as contributors (the note on the PR template said to include Twitter accounts)	1 year ago
Piyush Jain	a6ebffb695	Fixes model arguments for amazon models (#5896 ) Fixes #5713 #### Who can review? Tag maintainers/contributors who might be interested: @hwchase17 @agola11 @aarora79 @rsgrewal-aws	1 year ago
Aidan Holland	9f4b720a63	Add additional VertexAI Params (#5837 ) ## Changes - Added the `stop` param to the `_VertexAICommon` class so it can be set at llm initialization ## Example Usage ```python VertexAI( # ... temperature=0.15, max_output_tokens=128, top_p=1, top_k=40, stop=["\n```"], ) ``` ## Possible Reviewers - @hwchase17 - @agola11	1 year ago
Yessen Kanapin	c66755b661	Add DeepInfra embeddings integration with tests and examples, better exception handling for Deep Infra LLM (#5854 ) #### Who can review? Tag maintainers/contributors who might be interested: @hwchase17 - project lead - @agola11 --------- Co-authored-by: Yessen Kanapin <yessen@deepinfra.com>	1 year ago
Harrison Chase	3954bcf396	WIP: openai settings (#5792 ) [] need to test more [] make sure they arent saved when serializing [] do for embeddings	1 year ago
Gengliang Wang	2a4b32dee2	Revise DATABRICKS_API_TOKEN as DATABRICKS_TOKEN (#5796 ) <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> In the [Databricks integration](https://python.langchain.com/en/latest/integrations/databricks.html) and [Databricks LLM](https://python.langchain.com/en/latest/modules/models/llms/integrations/databricks.html), we suggestted users to set the ENV variable `DATABRICKS_API_TOKEN`. However, this is inconsistent with the other Databricks library. To make it consistent, this PR changes the variable from `DATABRICKS_API_TOKEN` to `DATABRICKS_TOKEN` After changes, there is no more `DATABRICKS_API_TOKEN` in the doc ``` $ git grep DATABRICKS_API_TOKEN\|wc -l 0 $ git grep DATABRICKS_TOKEN\|wc -l 8 ``` cc @hwchase17 @dev2049 @mengxr since you have reviewed the previous PRs.	1 year ago
Ankush Gola	b177a29d3f	support returning run info for llms, chat models and chains (#5666 ) returning the run id is important for accessing the run later on	1 year ago
Harrison Chase	98dd6d068a	cohere retries (#5757 ) …719) A minor update to retry Cohore API call in case of errors using tenacity as it is done for OpenAI LLMs. #### Who can review? @hwchase17, @agola11 <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 --> <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> Fixes # (issue) #### Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> #### Who can review? Tag maintainers/contributors who might be interested: <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 --> --------- Co-authored-by: Sagar Sapkota <22609549+sagar-spkt@users.noreply.github.com>	1 year ago
M Waleed Kadous	5124c1e0d9	Add aviary support (#5661 ) Aviary is an open source toolkit for evaluating and deploying open source LLMs. You can find out more about it on [http://github.com/ray-project/aviary). You can try it out at [http://aviary.anyscale.com](aviary.anyscale.com). This code adds support for Aviary in LangChain. To minimize dependencies, it connects directly to the HTTP endpoint. The current implementation is not accelerated and uses the default implementation of `predict` and `generate`. It includes a test and a simple example. @hwchase17 and @agola11 could you have a look at this? --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Ralph Schlosser	74f8e603d9	Addresses GPT4All wrapper model_type attribute issues #5720 . (#5743 ) Fixes #5720. A more in-depth discussion is in my comment here: https://github.com/hwchase17/langchain/issues/5720#issuecomment-1577047018 In a nutshell, there has been a subtle change in the latest version of GPT4Alls Python bindings. The change I submitted yesterday is compatible with this version, however, this version is as of yet unreleased and thus the code change breaks Langchain's wrapper under the currently released version of GPT4All. This pull request proposes a backwards-compatible solution.	1 year ago
mheguy-stingray	b64c39dfe7	top_k and top_p transposed in vertexai (#5673 ) Fix transposed properties in vertexai model Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Ralph Schlosser	8fea0529c1	This fixes issue #5651 - GPT4All wrapper loading issue (#5657 ) Fixes #5651 Small typo in wrapper code. Note the `model_type` parameter is currently unused by GPT4All. https://github.com/hwchase17/langchain/issues/5651 #### Who can review?	1 year ago
Sean Morgan	949729ff5c	Fix bedrock llm boto3 client instantiation (#5629 ) Same issue as https://github.com/hwchase17/langchain/pull/5574	1 year ago
sseide	001b147450	Documentation fixes (linting and broken links) (#5563 ) # Lint sphinx documentation and fix broken links This PR lints multiple warnings shown in generation of the project documentation (using "make docs_linkcheck" and "make docs_build"). Additionally documentation internal links to (now?) non-existent files are modified to point to existing documents as it seemed the new correct target. The documentation is not updated content wise. There are no source code changes. Fixes # (issue) - broken documentation links to other files within the project - sphinx formatting (linting) ## Before submitting No source code changes, so no new tests added. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Piyush Jain	5ffa924488	Skips creating boto client for Bedrock if passed in constructor (#5523 ) # Skips creating boto client if passed in constructor Current LLM and Embeddings class always creates a new boto client, even if one is passed in a constructor. This blocks certain users from passing in externally created boto clients, for example in SSO authentication. ## Who can review? @hwchase17 @jasondotparse @rsgrewal-aws <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 -->	1 year ago
Víctor Navarro Aránguiz	f39340ff6b	Add allow_download as attribute for GPT4All (#5512 ) # Added support for download GPT4All model if does not exist I've include the class attribute `allow_download` to the GPT4All class. By default, `allow_download` is set to False. ## Changes Made - Added a new attribute `allow_download` to the GPT4All class. - Updated the `validate_environment` method to pass the `allow_download` parameter to the GPT4All model constructor. ## Context This change provides more control over model downloading in the GPT4All class. Previously, if the model file was not found in the cache directory `~/.cache/gpt4all/`, the package returned error "Failed to retrieve model (type=value_error)". Now, if `allow_download` is set as True then it will use GPT4All package to download it . With the addition of the `allow_download` attribute, users can now choose whether the wrapper is allowed to download the model or not. ## Dependencies There are no new dependencies introduced by this change. It only utilizes existing functionality provided by the GPT4All package. ## Testing Since this is a minor change to the existing behavior, the existing test suite for the GPT4All package should cover this scenario Co-authored-by: Vokturz <victornavarrrokp47@gmail.com>	1 year ago
Piyush Jain	562fdfc8f9	Bedrock llm and embeddings (#5464 ) # Bedrock LLM and Embeddings This PR adds a new LLM and an Embeddings class for the [Bedrock](https://aws.amazon.com/bedrock) service. The PR also includes example notebooks for using the LLM class in a conversation chain and embeddings usage in creating an embedding for a query and document. Note: AWS is doing a private release of the Bedrock service on 05/31/2023; users need to request access and added to an allowlist in order to start using the Bedrock models and embeddings. Please use the [Bedrock Home Page](https://aws.amazon.com/bedrock) to request access and to learn more about the models available in Bedrock. <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 -->	1 year ago
Víctor Navarro Aránguiz	8121e04200	added n_threads functionality for gpt4all (#5427 ) # Added support for modifying the number of threads in the GPT4All model I have added the capability to modify the number of threads used by the GPT4All model. This allows users to adjust the model's parallel processing capabilities based on their specific requirements. ## Changes Made - Updated the `validate_environment` method to set the number of threads for the GPT4All model using the `values["n_threads"]` parameter from the `GPT4All` class constructor. ## Context Useful in scenarios where users want to optimize the model's performance by leveraging multi-threading capabilities. Please note that the `n_threads` parameter was included in the `GPT4All` class constructor but was previously unused. This change ensures that the specified number of threads is utilized by the model . ## Dependencies There are no new dependencies introduced by this change. It only utilizes existing functionality provided by the GPT4All package. ## Testing Since this is a minor change testing is not required. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Camille Van Hoffelen	80e133f16d	Added async _acall to FakeListLLM (#5439 ) # Added Async _acall to FakeListLLM FakeListLLM is handy when unit testing apps built with langchain. This allows the use of FakeListLLM inside concurrent code with [asyncio](https://docs.python.org/3/library/asyncio.html). I also changed the pydocstring which was out of date. ## Who can review? @hwchase17 - project lead @agola11 - async	1 year ago

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