langchain

Commit Graph

Author	SHA1	Message	Date
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	2 years ago
Tim Asp	be4fb24b32	OpenAI LLM: update `modelname_to_contextsize` with new models (#2843 ) Token counts pulled from https://openai.com/pricing	2 years 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	2 years 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>	2 years ago
Harrison Chase	d85f57ef9c	Harrison/llama (#2314 ) Co-authored-by: RJ Adriaansen <adriaansen@eshcc.eur.nl>	2 years 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
Harrison Chase	4d4cff0530	Harrison/cohere experimental (#638 ) Co-authored-by: inyourhead <44607279+xettrisomeman@users.noreply.github.com>	2 years ago
Harrison Chase	3474f39e21	Harrison/improve cache (#368 ) make it so everything goes through generate, which removes the need for two types of caches	2 years ago
Harrison Chase	a7084ad6e4	Harrison/version 0040 (#366 )	2 years ago
mrbean	50257fce59	Support Streaming Tokens from OpenAI (#364 ) https://github.com/hwchase17/langchain/issues/363 @hwchase17 how much does this make you want to cry?	2 years ago
mrbean	fe6695b9e7	Add HuggingFacePipeline LLM (#353 ) https://github.com/hwchase17/langchain/issues/354 Add support for running your own HF pipeline locally. This would allow you to get a lot more dynamic with what HF features and models you support since you wouldn't be beholden to what is hosted in HF hub. You could also do stuff with HF Optimum to quantize your models and stuff to get pretty fast inference even running on a laptop.	2 years ago
Harrison Chase	9bb7195085	Harrison/llm saving (#331 ) Co-authored-by: Akash Samant <70665700+asamant21@users.noreply.github.com>	2 years ago
Harrison Chase	3ca2c8d6c5	allow passing of stop params into openai (#232 )	2 years ago
Harrison Chase	ae9c6257fe	Harrison/arbitrary params (#186 )	2 years ago
Harrison Chase	9f223e6ccc	Harrison/fix lint (#138 )	2 years ago
Delip Rao	76cecf8165	A fix for Jupyter environment variable issue (#135 ) - fixes the Jupyter environment variable issues mentioned in issue #134 - fixes format/lint issues in some unrelated files (from make format/lint) ![image](https://user-images.githubusercontent.com/347398/201599322-090af858-362d-4d69-bf59-208aea65419a.png)	2 years ago
Harrison Chase	e43534d41c	add integration with manifest (#62 )	2 years ago
tomeras91	d8734ce5ad	Add AI21 LLMs (#99 ) Integrate AI21 /complete API into langchain, to allow access to Jurassic models.	2 years ago

1 2

55 Commits (5cfa72a130f675c8da5963a11d416f553f692e72)