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@baskaryan --------- Co-authored-by: AashutoshPathakShorthillsAI <[email protected]> Co-authored-by: Aayush <[email protected]> Co-authored-by: Aashish Saini <[email protected]> Co-authored-by: ManpreetShorthillsAI <[email protected]> Co-authored-by: AryamanJaiswalShorthillsAI <[email protected]> Co-authored-by: Adarsh Shrivastav <[email protected]> Co-authored-by: Vishal <[email protected]> Co-authored-by: ChetnaGuptaShorthillsAI <[email protected]> Co-authored-by: PankajKumarShorthillsAI <[email protected]> Co-authored-by: AbhishekYadavShorthillsAI <[email protected]> Co-authored-by: AmitSinghShorthillsAI <[email protected]> Co-authored-by: Md Nazish Arman <[email protected]> Co-authored-by: KamalSharmaShorthillsAI <[email protected]> Co-authored-by: Lakshya <[email protected]> Co-authored-by: AnujMauryaShorthillsAI <[email protected]> Co-authored-by: Saransh Sharma <[email protected]> Co-authored-by: GhayurHamzaShorthillsAI <[email protected]> Co-authored-by: Puneet Dhiman <[email protected]> Co-authored-by: Riya Rana <[email protected]> Co-authored-by: Akshay Tripathi <[email protected]>
…1040) **Description** We support adding new tools in some toolkits already like the [SQLAgent toolkit](https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/agents/agent_toolkits/sql/base.py#L27). Related [SO](https://stackoverflow.com/questions/76583163/are-langchain-toolkits-able-to-be-modified-can-we-add-tools-to-a-pandas-datafra) thread This replicates the same functionality here, so users can add custom bespoke tools.
…gchain's dumps() (langchain-ai#10593) The intermediate steps example in docs has an example on how to retrieve and display the intermediate steps. But the intermediate steps object is of type AgentAction which cannot be passed to json.dumps (it raises an error). I replaced it with Langchain's dumps function (from langchain.load.dump import dumps) which is the preferred way to do so.
Fixing a typo in the example code in the docstring... You have to start somewhere though right? Co-authored-by: Harrison Chase <[email protected]>
The new Fireworks and FireworksChat implementations are awesome! Added in this PR langchain-ai#11117 thank you @ZixinYang However, I think stop words were not plumbed correctly. I've made some simple changes to do that, and also updated the notebook to be a bit clearer with what's needed to use both new models. --------- Co-authored-by: Taqi Jaffri <[email protected]>
…n-ai#9318) - Description: this PR adds the support for arxiv identifier of the ArxivAPIWrapper. I modified the `run()` and `load()` functions in `arxiv.py`, using regex to recognize if the query is in the form of arxiv identifier (see [https://info.arxiv.org/help/find/index.html](https://info.arxiv.org/help/find/index.html)). If so, it will directly search the paper corresponding to the arxiv identifier. I also modified and added tests in `test_arxiv.py`. - Issue: langchain-ai#9047 - Dependencies: N/A - Tag maintainer: N/A --------- Co-authored-by: Bagatur <[email protected]> Co-authored-by: Harrison Chase <[email protected]>
This removes the use of the intermediate df list and directly concatenates the dataframes if path is a list of strings. The pd.concat function combines the dataframes efficiently, making it faster and more memory-efficient compared to appending dataframes to a list. <!-- 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]>
Reverts langchain-ai#8610 this is actually an oversight - this merges all dfs into one df. we DO NOT want to do this - the idea is we work and manipulate multiple dfs
### Description: NotionDB supports a number of common property types. I have found three common types that are not included in notiondb loader. When programs loaded them with notiondb, which will cause some metadata information not to be passed to langchain. Therefore, I added three common types: - date - created_time - last_edit_time. ### Issue: no ### Dependencies: No dependencies added :) ### Tag maintainer: @rlancemartin, @eyurtsev ### Twitter handle: @BJTUTC
- **Description:** Prompt wrapping requirements have been implemented on the service side of AWS Bedrock for the Anthropic Claude models to provide parity between Anthropic's offering and Bedrock's offering. This overnight change broke most existing implementations of Claude, Bedrock and Langchain. This PR just steals the the Anthropic LLM implementation to enforce alias/role wrapping and implements it in the existing mechanism for building the request body. This has also been tested to fix the chat_model implementation as well. Happy to answer any further questions or make changes where necessary to get things patched and up to PyPi ASAP, TY. - **Issue:** No issue opened at the moment, though will update when these roll in. - **Dependencies:** None --------- Co-authored-by: Harrison Chase <[email protected]> Co-authored-by: Bagatur <[email protected]>
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