Quick fix to install command in Metaphor docs #1
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Still retain: - Comparison Examples - Data + QA walkthrough - QA (but really minimize it)
# [WIP] Tree of Thought introducing a new ToTChain. This PR adds a new chain called ToTChain that implements the ["Large Language Model Guided Tree-of-Though"](https://arxiv.org/pdf/2305.08291.pdf) paper. There's a notebook example `docs/modules/chains/examples/tot.ipynb` that shows how to use it. Implements langchain-ai#4975 ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: - @hwchase17 - @vowelparrot --------- Co-authored-by: Vadim Gubergrits <[email protected]> Co-authored-by: Harrison Chase <[email protected]>
…#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
specifc -> specific
- Issue: langchain-ai#8343 Signed-off-by: Pranay Chandekar <[email protected]>
## Description This commit introduces the `DropboxLoader` class, a new document loader that allows loading files from Dropbox into the application. The loader relies on a Dropbox app, which requires creating an app on Dropbox, obtaining the necessary scope permissions, and generating an access token. Additionally, the dropbox Python package is required. The `DropboxLoader` class is designed to be used as a document loader for processing various file types, including text files, PDFs, and Dropbox Paper files. ## Dependencies `pip install dropbox` and `pip install unstructured` for PDF reading. ## Tag maintainer @rlancemartin, @eyurtsev (from Data Loaders). I'd appreciate some feedback here 🙏 . ## Social Networks https://github.com/rubenbarragan https://www.linkedin.com/in/rgbarragan/ https://twitter.com/RubenBarraganP --------- Co-authored-by: Ruben Barragan <[email protected]>
<!-- 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! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - 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 -->
…passed to all invoke/stream/batch calls when it is run (langchain-ai#8368) <!-- 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! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - 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 -->
 --------- Co-authored-by: Bagatur <[email protected]>
This PR fixes a minor documentation issue on the SQL database toolkit example notebook.
- Description: added unit tests for mrkl output_parser.py, - Tag maintainer: @hinthornw - Twitter handle: EdenEmarco177
Spelling error fix <!-- 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! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - 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 -->
<!-- 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! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - 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 -->
only do the step that tags and adds release notes if its langchain
Description: Fix exception caused by restrictions in OWL Issue: langchain-ai#8331 Dependencies: none Maintainer: @baskaryan
We are adding an example of how one can connect to azure ml managed feature store and use such a prompt template in a llm chain. @baskaryan
Full set of params are missing from Vertex* LLMs when `dict()` method is
called.
```
>>> from langchain.chat_models.vertexai import ChatVertexAI
>>> from langchain.llms.vertexai import VertexAI
>>> chat_llm = ChatVertexAI()
l>>> llm = VertexAI()
>>> chat_llm.dict()
{'_type': 'vertexai'}
>>> llm.dict()
{'_type': 'vertexai'}
```
This PR just uses the same mechanism used elsewhere to expose the full
params.
Since `_identifying_params()` is on the `_VertexAICommon` class, it
should cover the chat and non-chat cases.
- Description: Adds AwaEmbeddings class for embeddings, which provides users with a convenient way to do fine-tuning, as well as the potential need for multimodality - Tag maintainer: @baskaryan Create `Awa.ipynb`: an example notebook for AwaEmbeddings class Modify `embeddings/__init__.py`: Import the class Create `embeddings/awa.py`: The embedding class Create `embeddings/test_awa.py`: The test file. --------- Co-authored-by: taozhiwang <[email protected]>
…se Search retriever (langchain-ai#8369) Followup to langchain-ai#7857 - Changes `_convert_search_response()` to use object attributes instead of converting to dictionary - Simplifies logic for readability
Co-authored-by: Bagatur <[email protected]>
Fix Issue langchain-ai#7616 with a simpler approach to extract function names (use `__name__` attribute) @hwchase17 --------- Co-authored-by: Harrison Chase <[email protected]>
begining -> beginning <!-- 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! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - 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 -->
- Balancing prioritization between keyword / AI search - Show snippets of highlighted keywords when searching - Improved keyword search - Fixed bugs and issues Shoutout to @calebpeffer for implementing and gathering feedback on it cc: @dev2049 @rlancemartin @hwchase17
<!-- Thank you for contributing to LangChain! Replace this comment with: - Description: docstore had two main method: add and search, however, dealing with docstore sometimes requires deleting an entry from docstore. So I have added a simple delete method that deletes items from docstore. Additionally, I have added the delete method to faiss vectorstore for the very same reason. - Issue: NA - Dependencies: NA - Tag maintainer: @rlancemartin, @eyurtsev - 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! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - 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 --> --------- Co-authored-by: Harrison Chase <[email protected]>
Description: This PR improves the function of recursive_url_loader, such as limiting the depth of the access, and customizable extractors(from the raw webpage to the text of the Document object), so that users can use other tools to extract the webpage. This PR also includes the document and test for the new loader. Old PR closed due to project structure change. langchain-ai#7756 Because socket requests are not allowed, the old unit test was removed. Issue: N/A Dependencies: asyncio, aiohttp Tag maintainer: @rlancemartin Twitter handle: @ Zend_Nihility --------- Co-authored-by: Lance Martin <[email protected]>
Co-authored-by: Bytestorm <[email protected]>
<!-- 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! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - 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 --> Description: The lines I have changed looks like incorrectly escaped for regex. In python 3.11, I receive DeprecationWarning for these lines. You don't see any warnings unless you explicitly run python with `-W always::DeprecationWarning` flag. So, this is my attempt to fix it. Here are the warnings from log files: ``` /usr/local/lib/python3.11/site-packages/langchain/text_splitter.py:919: DeprecationWarning: invalid escape sequence '\s' /usr/local/lib/python3.11/site-packages/langchain/text_splitter.py:918: DeprecationWarning: invalid escape sequence '\s' /usr/local/lib/python3.11/site-packages/langchain/text_splitter.py:917: DeprecationWarning: invalid escape sequence '\s' /usr/local/lib/python3.11/site-packages/langchain/text_splitter.py:916: DeprecationWarning: invalid escape sequence '\c' /usr/local/lib/python3.11/site-packages/langchain/text_splitter.py:903: DeprecationWarning: invalid escape sequence '\*' /usr/local/lib/python3.11/site-packages/langchain/text_splitter.py:804: DeprecationWarning: invalid escape sequence '\*' /usr/local/lib/python3.11/site-packages/langchain/text_splitter.py:804: DeprecationWarning: invalid escape sequence '\*' ``` cc @baskaryan --------- Co-authored-by: Harrison Chase <[email protected]>
- Updated to use newer better function interaction - Previous version had only one callback - @hinthornw @hwchase17 Can you look into this - Shout out to @MultiON_AI @DivGarg9 on twitter --------- Co-authored-by: Naman Garg <[email protected]> Co-authored-by: Harrison Chase <[email protected]>
<!-- 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! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - 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 --> @hwchase17, @baskaryan --------- Co-authored-by: Bagatur <[email protected]> Co-authored-by: Nuno Campos <[email protected]>
Hello langchain maintainers, this PR aims at integrating [vllm](https://vllm.readthedocs.io/en/latest/#) into langchain. This PR closes langchain-ai#8729. This feature clearly depends on `vllm`, but I've seen other models supported here depend on packages that are not included in the pyproject.toml (e.g. `gpt4all`, `text-generation`) so I thought it was the case for this as well. @hwchase17, @baskaryan --------- Co-authored-by: Harrison Chase <[email protected]>
langchain-ai#7469 since 1.29.0, Vertex SDK supports a chat history provided to a codey chat model. Co-authored-by: Leonid Kuligin <[email protected]> Co-authored-by: Harrison Chase <[email protected]>
This adds support for [Xata](https://xata.io) (data platform based on Postgres) as a vector store. We have recently added [Xata to Langchain.js](langchain-ai/langchainjs#2125) and would love to have the equivalent in the Python project as well. The PR includes integration tests and a Jupyter notebook as docs. Please let me know if anything else would be needed or helpful. I have added the xata python SDK as an optional dependency. ## To run the integration tests You will need to create a DB in xata (see the docs), then run something like: ``` OPENAI_API_KEY=sk-... XATA_API_KEY=xau_... XATA_DB_URL='https://....xata.sh/db/langchain' poetry run pytest tests/integration_tests/vectorstores/test_xata.py ``` <!-- 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! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - 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 --> --------- Co-authored-by: Harrison Chase <[email protected]> Co-authored-by: Philip Krauss <[email protected]> Co-authored-by: Bagatur <[email protected]>
Long-term, would be better to use the lower-level batch() method(s) but it may take me a bit longer to clean up. This unblocks in the meantime, though it may fail when the evaluated chain raises a `NotImplementedError` for a corresponding async method
<!-- Thank you for contributing to LangChain! Replace this comment with: - Description: Fix/abstract add message - Issue: None - Dependencies: None - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: @MLOpsJ Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - 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 -->
- Description: [BGE-large](https://huggingface.co/BAAI/bge-large-en) embeddings from BAAI are at the top of [MTEB leaderboard](https://huggingface.co/spaces/mteb/leaderboard). Hence adding support for it. - Tag maintainer: @baskaryan - Twitter handle: @ManabChetia3 --------- Co-authored-by: Harrison Chase <[email protected]>
# What - fix evaluation parse test <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: Fix evaluation parse test - Issue: None - Dependencies: None - Tag maintainer: @baskaryan - Twitter handle: @MLOpsJ Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - 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 -->
Fixes mutation in place in the JsonOutputFunctionParser. This causes issues when trying to re-use the original AI message.
<!-- 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! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - 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 -->
## Description This PR adds Nebula to the available LLMs in LangChain. Nebula is an LLM focused on conversation understanding and enables users to extract conversation insights from video, audio, text, and chat-based conversations. These conversations can occur between any mix of human or AI participants. Examples of some questions you could ask Nebula from a given conversation are: - What could be the customer’s pain points based on the conversation? - What sales opportunities can be identified from this conversation? - What best practices can be derived from this conversation for future customer interactions? You can read more about Nebula here: https://symbl.ai/blog/extract-insights-symbl-ai-generative-ai-recall-ai-meetings/ #### Integration Test An integration test is added, but it requires network access. Since Nebula is fully managed like OpenAI, network access is required to exercise the integration test. #### Linting - [x] make lint - [x] make test (TODO: there seems to be a failure in another non-related test??? Need to check on this.) - [x] make format ### Dependencies No new dependencies were introduced. ### Twitter handle [@Symbldotai](https://twitter.com/symbldotai) [@dvonthenen](https://twitter.com/dvonthenen) If you have any questions, please let me know. cc: @hwchase17, @baskaryan --------- Co-authored-by: dvonthenen <[email protected]> Co-authored-by: Bagatur <[email protected]>
…all bug fix (langchain-ai#8793) - Description: new parameter forced_decoder_ids for OpenAIWhisperParserLocal to force input language, and enable optional translate mode. Usage example: processor = WhisperProcessor.from_pretrained("openai/whisper-medium") forced_decoder_ids = processor.get_decoder_prompt_ids(language="french", task="transcribe") #forced_decoder_ids = processor.get_decoder_prompt_ids(language="french", task="translate") loader = GenericLoader(YoutubeAudioLoader(urls, save_dir), OpenAIWhisperParserLocal(lang_model="openai/whisper-medium",forced_decoder_ids=forced_decoder_ids)) - Issue langchain-ai#8792 - Tag maintainer: @rlancemartin, @eyurtsev --------- Co-authored-by: idcore <[email protected]>
- Description: Adds the ChatAnyscale class with llama-2 7b, llama-2 13b, and llama-2 70b on [Anyscale Endpoints](https://app.endpoints.anyscale.com/) - It inherits from ChatOpenAI and requires openai (probably unnecessary but it made for a quick and easy implementation) - Inspired by langchain-ai#8434 (@kylehh and @baskaryan )
Fixes a simple typo in the google search engine tool documentation @baskaryan
…arser (langchain-ai#8776) Added async parsing functions for RetryOutputParser, RetryWithErrorOutputParser and OutputFixingParser. The async parse functions call the arun methods of the used LLMChains. Fix for langchain-ai#7989 --------- Co-authored-by: Benjamin May <[email protected]>
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