langchain

Commit Graph

Author	SHA1	Message	Date
Nuno Campos	696886f397	Use serialized format for messages in tracer (#6827 ) <!-- 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	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
Ankush Gola	e1b801be36	split up batch llm calls into separate runs (#5804 )	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
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
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
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
Harrison Chase	d6fb25c439	Harrison/prediction guard update (#5404 ) Co-authored-by: Daniel Whitenack <whitenack.daniel@gmail.com>	1 year ago
Ravindra Marella	b3988621c5	Add C Transformers for GGML Models (#5218 ) # Add C Transformers for GGML Models I created Python bindings for the GGML models: https://github.com/marella/ctransformers Currently it supports GPT-2, GPT-J, GPT-NeoX, LLaMA, MPT, etc. See [Supported Models](https://github.com/marella/ctransformers#supported-models). It provides a unified interface for all models: ```python from langchain.llms import CTransformers llm = CTransformers(model='/path/to/ggml-gpt-2.bin', model_type='gpt2') print(llm('AI is going to')) ``` It can be used with models hosted on the Hugging Face Hub: ```py llm = CTransformers(model='marella/gpt-2-ggml') ``` It supports streaming: ```py from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler llm = CTransformers(model='marella/gpt-2-ggml', callbacks=[StreamingStdOutCallbackHandler()]) ``` Please see [README](https://github.com/marella/ctransformers#readme) for more details. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Harrison Chase	a775aa6389	Harrison/vertex (#5049 ) Co-authored-by: Leonid Kuligin <kuligin@google.com> Co-authored-by: Leonid Kuligin <lkuligin@yandex.ru> Co-authored-by: sasha-gitg <44654632+sasha-gitg@users.noreply.github.com> Co-authored-by: Justin Flick <Justinjayflick@gmail.com> Co-authored-by: Justin Flick <jflick@homesite.com>	1 year ago
Nolan Tremelling	faa26650c9	Beam (#4996 ) # Beam Calls the Beam API wrapper to deploy and make subsequent calls to an instance of the gpt2 LLM in a cloud deployment. Requires installation of the Beam library and registration of Beam Client ID and Client Secret. Additional calls can then be made through the instance of the large language model in your code or by calling the Beam API. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Daniel King	de6e6c764e	Add MosaicML inference endpoints (#4607 ) # Add MosaicML inference endpoints This PR adds support in langchain for MosaicML inference endpoints. We both serve a select few open source models, and allow customers to deploy their own models using our inference service. Docs are here (https://docs.mosaicml.com/en/latest/inference.html), and sign up form is here (https://forms.mosaicml.com/demo?utm_source=langchain). I'm not intimately familiar with the details of langchain, or the contribution process, so please let me know if there is anything that needs fixing or this is the wrong way to submit a new integration, thanks! I'm also not sure what the procedure is for integration tests. I have tested locally with my api key. ## Who can review? @hwchase17 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Matt Rickard	de6a401a22	Add OpenLM LLM multi-provider (#4993 ) OpenLM is a zero-dependency OpenAI-compatible LLM provider that can call different inference endpoints directly via HTTP. It implements the OpenAI Completion class so that it can be used as a drop-in replacement for the OpenAI API. This changeset utilizes BaseOpenAI for minimal added code. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Zander Chase	785502edb3	Add 'get_token_ids' method (#4784 ) Let user inspect the token ids in addition to getting th enumber of tokens --------- Co-authored-by: Zach Schillaci <40636930+zachschillaci27@users.noreply.github.com>	1 year ago
Harrison Chase	c9a362e482	add alias for model (#4553 ) Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
whuwxl	3f0357f94a	Add summarization task type for HuggingFace APIs (#4721 ) # Add summarization task type for HuggingFace APIs Add summarization task type for HuggingFace APIs. This task type is described by [HuggingFace inference API](https://huggingface.co/docs/api-inference/detailed_parameters#summarization-task) My project utilizes LangChain to connect multiple LLMs, including various HuggingFace models that support the summarization task. Integrating this task type is highly convenient and beneficial. Fixes #4720	1 year ago
kYLe	0d51a1f12b	Add LLMs support for Anyscale Service (#4350 ) Add Anyscale service integration under LLM Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Davis Chase	ba0057c077	Check OpenAI model kwargs (#4366 ) Handle duplicate and incorrectly specified OpenAI params Thanks @PawelFaron for the fix! Made small update Closes #4331 --------- Co-authored-by: PawelFaron <42373772+PawelFaron@users.noreply.github.com> Co-authored-by: Pawel Faron <ext-pawel.faron@vaisala.com>	1 year ago
Zander Chase	c4cb55a0c5	[Breaking] Migrate GPT4All to use PyGPT4All (#3934 ) Seems the pyllamacpp package is no longer the supported bindings from gpt4all. Tested that this works locally. Given that the older models weren't very performant, I think it's better to migrate now without trying to include a lot of try / except blocks --------- Co-authored-by: Nissan Pow <npow@users.noreply.github.com> Co-authored-by: Nissan Pow <pownissa@amazon.com>	1 year ago
James Brotchie	921894960b	Add ChatModel, LLM, and Embeddings for Google's PaLM APIs (#3575 ) - Add langchain.llms.GooglePalm for text completion, - Add langchain.chat_models.ChatGooglePalm for chat completion, - Add langchain.embeddings.GooglePalmEmbeddings for sentence embeddings, - Add example field to HumanMessage and AIMessage so that users can feed in examples into the PaLM Chat API, - Add system and unit tests. Note async completion for the Text API is not yet supported and will be included in a future PR. Happy for feedback on any aspect of this PR, especially our choice of adding an example field to Human and AI Message objects to enable passing example messages to the API.	1 year ago
Ankush Gola	d3ec00b566	Callbacks Refactor [base] (#3256 ) Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: Davis Chase <130488702+dev2049@users.noreply.github.com> Co-authored-by: Zander Chase <130414180+vowelparrot@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
plutopulp	6d6fd1b9e1	Add PipelineAI LLM integration (#3644 ) Add PipelineAI LLM integration	1 year ago
Davis Chase	d18b0caf0e	Add Anthropic default request timeout (#3540 ) thanks @hitflame! --------- Co-authored-by: Wenqiang Zhao <hitzhaowenqiang@sina.com> Co-authored-by: delta@com <delta@com>	1 year ago
Harrison Chase	707741de58	Harrison/prediction guard (#3490 ) Co-authored-by: Daniel Whitenack <whitenack.daniel@gmail.com>	1 year ago
Zander Chase	416f3bdf11	Vwp/alpaca streaming (#3468 ) Co-authored-by: Luke Stanley <306671+lukestanley@users.noreply.github.com>	1 year ago
Mike Lambert	392f1b3218	Add Anthropic ChatModel to langchain (#2293 ) * Adds an Anthropic ChatModel * Factors out common code in our LLMModel and ChatModel * Supports streaming llm-tokens to the callbacks on a delta basis (until a future V2 API does that for us) * Some fixes	1 year ago
Tim Asp	be4fb24b32	OpenAI LLM: update `modelname_to_contextsize` with new models (#2843 ) Token counts pulled from https://openai.com/pricing	1 year ago
Alex Rad	bd780a8223	Add support for rwkv (#2422 ) This adds support for running RWKV with pytorch. https://github.com/hwchase17/langchain/issues/2398 This does not yet support rwkv.cpp	1 year ago
Harrison Chase	0a9f04bad9	Harrison/gpt4all (#2366 ) Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
Harrison Chase	d85f57ef9c	Harrison/llama (#2314 ) Co-authored-by: RJ Adriaansen <adriaansen@eshcc.eur.nl>	1 year ago
Ankush Gola	ccee1aedd2	add async support for anthropic (#2114 ) should not be merged in before https://github.com/anthropics/anthropic-sdk-python/pull/11 gets released	2 years ago
Charlie Holtz	f16c1fb6df	Add replicate take 2 (#2077 ) This PR adds a replicate integration to langchain. It's an updated version of https://github.com/hwchase17/langchain/pull/1993, but with updates to match latest replicate-python code. https://github.com/replicate/replicate-python. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Zeke Sikelianos <zeke@sikelianos.com>	2 years ago
Ankush Gola	b7ebb8fe30	enable streaming in anthropic llm wrapper (#2065 )	2 years ago
Mario Kostelac	aff44d0a98	(OpenAI) Add model_name to LLMResult.llm_output (#1713 ) Given that different models have very different latencies and pricings, it's benefitial to pass the information about the model that generated the response. Such information allows implementing custom callback managers and track usage and price per model. Addresses https://github.com/hwchase17/langchain/issues/1557.	2 years ago
Harrison Chase	3ee32a01ea	Harrison/prompt layer (#1547 ) Co-authored-by: Jonathan Pedoeem <jonathanped@gmail.com> Co-authored-by: AbuBakar <abubakarsohail123@gmail.com>	2 years ago
Ankush Gola	27104d4921	fix `ChatOpenAI.agenerate` (#1504 )	2 years ago
Nuno Campos	499e76b199	Allow the regular openai class to be used for ChatGPT models (#1393 ) Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	2 years ago
Ankush Gola	fe30be6fba	add async and streaming support to `OpenAIChat` (#1378 ) title says it all	2 years ago
Enrico Shippole	9becdeaadf	Add Writer, Banana, Modal, StochasticAI (#1270 ) Add LLM wrappers and examples for Banana, Writer, Modal, Stochastic AI Added rigid json format for Banana and Modal	2 years ago
Dennis Antela Martinez	53c67e04d4	add aleph alpha llm (#1207 ) Integrate Aleph Alpha's client into Langchain to provide access to the luminous models - more info on latest benchmarks here: https://www.aleph-alpha.com/luminous-performance-benchmarks	2 years ago
Harrison Chase	9d6d8f85da	Harrison/self hosted runhouse (#1154 ) Co-authored-by: Donny Greenberg <dongreenberg2@gmail.com> Co-authored-by: John Dagdelen <jdagdelen@users.noreply.github.com> Co-authored-by: Harrison Chase <harrisonchase@Harrisons-MBP.attlocal.net> Co-authored-by: Andrew White <white.d.andrew@gmail.com> Co-authored-by: Peng Qu <82029664+pengqu123@users.noreply.github.com> Co-authored-by: Matt Robinson <mthw.wm.robinson@gmail.com> Co-authored-by: jeff <tangj1122@gmail.com> Co-authored-by: Harrison Chase <harrisonchase@Harrisons-MacBook-Pro.local> Co-authored-by: zanderchase <zander@unfold.ag> Co-authored-by: Charles Frye <cfrye59@gmail.com> Co-authored-by: zanderchase <zanderchase@gmail.com> Co-authored-by: Shahriar Tajbakhsh <sh.tajbakhsh@gmail.com> Co-authored-by: Stefan Keselj <skeselj@princeton.edu> Co-authored-by: Francisco Ingham <fpingham@gmail.com> Co-authored-by: Dhruv Anand <105786647+dhruv-anand-aintech@users.noreply.github.com> Co-authored-by: cragwolfe <cragcw@gmail.com> Co-authored-by: Anton Troynikov <atroyn@users.noreply.github.com> Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com> Co-authored-by: Oliver Klingefjord <oliver@klingefjord.com> Co-authored-by: blob42 <contact@blob42.xyz> Co-authored-by: blob42 <spike@w530> Co-authored-by: Enrico Shippole <henryshippole@gmail.com> Co-authored-by: Ibis Prevedello <ibiscp@gmail.com> Co-authored-by: jped <jonathanped@gmail.com> Co-authored-by: Justin Torre <justintorre75@gmail.com> Co-authored-by: Ivan Vendrov <ivan@anthropic.com> Co-authored-by: Sasmitha Manathunga <70096033+mmz-001@users.noreply.github.com> Co-authored-by: Ankush Gola <9536492+agola11@users.noreply.github.com> Co-authored-by: Matt Robinson <mrobinson@unstructuredai.io> Co-authored-by: Jeff Huber <jeffchuber@gmail.com> Co-authored-by: Akshay <64036106+akshayvkt@users.noreply.github.com> Co-authored-by: Andrew Huang <jhuang16888@gmail.com> Co-authored-by: rogerserper <124558887+rogerserper@users.noreply.github.com> Co-authored-by: seanaedmiston <seane999@gmail.com> Co-authored-by: Hasegawa Yuya <52068175+Hase-U@users.noreply.github.com> Co-authored-by: Ivan Vendrov <ivendrov@gmail.com> Co-authored-by: Chen Wu (吴尘) <henrychenwu@cmu.edu> Co-authored-by: Dennis Antela Martinez <dennis.antela@gmail.com> Co-authored-by: Maxime Vidal <max.vidal@hotmail.fr> Co-authored-by: Rishabh Raizada <110235735+rishabh-ti@users.noreply.github.com>	2 years ago
Ankush Gola	caa8e4742e	Enable streaming for OpenAI LLM (#986 ) * Support a callback `on_llm_new_token` that users can implement when `OpenAI.streaming` is set to `True`	2 years ago
Harrison Chase	88bebb4caa	Harrison/llm integrations (#1039 ) Co-authored-by: jped <jonathanped@gmail.com> Co-authored-by: Justin Torre <justintorre75@gmail.com> Co-authored-by: Ivan Vendrov <ivan@anthropic.com>	2 years ago
Enrico Shippole	f30dcc6359	Add GooseAI, CerebriumAI, Petals, ForefrontAI (#981 ) Add GooseAI, CerebriumAI, Petals, ForefrontAI	2 years ago
Ankush Gola	bc7e56e8df	Add asyncio support for LLM (OpenAI), Chain (LLMChain, LLMMathChain), and Agent (#841 ) Supporting asyncio in langchain primitives allows for users to run them concurrently and creates more seamless integration with asyncio-supported frameworks (FastAPI, etc.) Summary of changes: LLM * Add `agenerate` and `_agenerate` * Implement in OpenAI by leveraging `client.Completions.acreate` Chain * Add `arun`, `acall`, `_acall` * Implement them in `LLMChain` and `LLMMathChain` for now Agent * Refactor and leverage async chain and llm methods * Add ability for `Tools` to contain async coroutine * Implement async SerpaPI `arun` Create demo notebook. Open questions: * Should all the async stuff go in separate classes? I've seen both patterns (keeping the same class and having async and sync methods vs. having class separation)	2 years ago
Harrison Chase	bc53c928fc	Harrison/athropic (#921 ) Co-authored-by: Mike Lambert <mlambert@gmail.com> Co-authored-by: mrbean <sam@you.com> Co-authored-by: mrbean <43734688+sam-h-bean@users.noreply.github.com> Co-authored-by: Ivan Vendrov <ivendrov@gmail.com>	2 years ago
Harrison Chase	ba5a2f06b9	Harrison/inference endpoint (#861 ) Co-authored-by: Eno Reyes <enoreyes@gmail.com>	2 years ago

1 2

67 Commits (d2cf0d16b3e814e2bc86472e309c7ad81bf36cdb)