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harrison/alpaca
nc/poe-handler-chat-model
nc/poe-handler
harrison/mrkl-parser
harrison/agent-experiments
harrison/replicate
harrison/chat-chain
harrison/update-wandb
harrison/debug
harrison/qasper
harrison/dbpedia
harrison/changes
jeremy/guardrails
nc/guardrails-error-handling
harrison/guardrails
harrison/use-output-parsers
John-Church-guard
agent_evaluation
harrison/kor-chain
harrison/inference-api
ankush/callback-refactor
harrison/eval
harrison/audio
ankush/prompt-abstractions
harrison/memory-chat
harrison/indexes
ankush/partial-prompt-apply
harrison/sagemaker
harrison/datetime
harrison/openapiagent
harrison/paged-pdf
harrison/pswsl
ankush/example-runner
harrison/guards
scad/api-chain
harrison/prompt-bugs
harrison/sql-agent
harrison/pinecone-try-except
harrison/callback-updates
harrison/map-rerank
harrison/combine-docs-parse
harrison/azure-rfc
harrison/sequential_chain_from_prompts
harrison/agent-refactor
harrison/agent_intermediate_steps
harrison/agent_multi_inputs
harrison/promot-mrkl
harrison/fix_logging_api
harrison/use_output_parser
harrison/track_intermediate_steps
harrison/sql_error
harrison/logging_to_file
harrison/output_parser
harrison/flexible_model_args
harrison/agent-improvements
harrison/router_docs
harrison/docs
samantha/add_llm_to_example
harrison/reorg_smart_chains
mako-templates
harrison/save_metadatas
harrison/router
harrison/custom_pipeline
harrison/chain_pipeline
harrison/prompts_docs
harrison/attempt_citing_in_prompt
harrison/load_prompt
harrison/prompts_take_2
harrison/ape
harrison/prompt_examples
harrison/add_dependencies
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langchain-anthropic==0.1.14rc2
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langchain-anthropic==0.2.1
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langchain-anthropic==0.2.3
langchain-azure-dynamic-sessions==0.1.0
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${ noResults }
6180 Commits (ac449f186b30bbdce2a607c366b134ce335c376d)
Author | SHA1 | Message | Date |
---|---|---|---|
Erick Friis |
8078caf764
|
templates[patch]: rag-google-cloud-sdp readme (#14043) | 10 months ago |
Yong woo Song |
f4d520ccb5
|
Fix .env file path in integration_test README.md (#14028)
<!-- Thank you for contributing to LangChain! Replace this entire 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 your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> ### Description Hello, The [integration_test README](https://github.com/langchain-ai/langchain/tree/master/libs/langchain/tests) was indicating incorrect paths for the `.env.example` and `.env` files. `tests/.env.example` ->`tests/integration_tests/.env.example` While it’s a minor error, it could **potentially lead to confusion** for the document’s readers, so I’ve made the necessary corrections. Thank you! ☺️ ### Related Issue - https://github.com/langchain-ai/langchain/pull/2806 |
10 months ago |
Rohan Dey |
41a4c06a94
|
Added support for a Pandas DataFrame OutputParser (#13257)
**Description:** Added support for a Pandas DataFrame OutputParser with format instructions, along with unit tests and a demo notebook. Namely, we've added the ability to request data from a DataFrame, have the LLM parse the request, and then use that request to retrieve a well-formatted response. Within LangChain, it seamlessly integrates with language models like OpenAI's `text-davinci-003`, facilitating streamlined interaction using the format instructions (just like the other output parsers). This parser structures its requests as `<operation/column/row>[<optional_array_params>]`. The instructions detail permissible operations, valid columns, and array formats, ensuring clarity and adherence to the required format. For example: - When the LLM receives the input: "Retrieve the mean of `num_legs` from rows 1 to 3." - The provided format instructions guide the LLM to structure the request as: "mean:num_legs[1..3]". The parser processes this formatted request, leveraging the LLM's understanding to extract the mean of `num_legs` from rows 1 to 3 within the Pandas DataFrame. This integration allows users to communicate requests naturally, with the LLM transforming these instructions into structured commands understood by the `PandasDataFrameOutputParser`. The format instructions act as a bridge between natural language queries and precise DataFrame operations, optimizing communication and data retrieval. **Issue:** - https://github.com/langchain-ai/langchain/issues/11532 **Dependencies:** No additional dependencies :) **Tag maintainer:** @baskaryan **Twitter handle:** No need. :) --------- Co-authored-by: Wasee Alam <waseealam@protonmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> |
10 months ago |
Masanori Taniguchi |
235bdb9fa7
|
Support Vald secure connection (#13269)
**Description:** When using Vald, only insecure grpc connection was supported, so secure connection is now supported. In addition, grpc metadata can be added to Vald requests to enable authentication with a token. <!-- Thank you for contributing to LangChain! Replace this entire 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 your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> |
10 months ago |
Nico Puhlmann |
54355b651a
|
Update index.mdx (#13285)
grammar correction <!-- Thank you for contributing to LangChain! Replace this entire 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 your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> |
10 months ago |
sudranga |
d1d693b2a7
|
Fix issue where response_if_no_docs_found is not implemented on async… (#13297)
Response_if_no_docs_found is not implemented in ConversationalRetrievalChain for async code paths. Implemented it and added test cases Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> |
10 months ago |
AthulVincent |
67c55cb5b0
|
Implemented MongoDB Atlas Self-Query Retriever (#13321)
# Description This PR implements Self-Query Retriever for MongoDB Atlas vector store. I've implemented the comparators and operators that are supported by MongoDB Atlas vector store according to the section titled "Atlas Vector Search Pre-Filter" from https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/. Namely: ``` allowed_comparators = [ Comparator.EQ, Comparator.NE, Comparator.GT, Comparator.GTE, Comparator.LT, Comparator.LTE, Comparator.IN, Comparator.NIN, ] """Subset of allowed logical operators.""" allowed_operators = [ Operator.AND, Operator.OR ] ``` Translations from comparators/operators to MongoDB Atlas filter operators(you can find the syntax in the "Atlas Vector Search Pre-Filter" section from the previous link) are done using the following dictionary: ``` map_dict = { Operator.AND: "$and", Operator.OR: "$or", Comparator.EQ: "$eq", Comparator.NE: "$ne", Comparator.GTE: "$gte", Comparator.LTE: "$lte", Comparator.LT: "$lt", Comparator.GT: "$gt", Comparator.IN: "$in", Comparator.NIN: "$nin", } ``` In visit_structured_query() the filters are passed as "pre_filter" and not "filter" as in the MongoDB link above since langchain's implementation of MongoDB atlas vector store(libs\langchain\langchain\vectorstores\mongodb_atlas.py) in _similarity_search_with_score() sets the "filter" key to have the value of the "pre_filter" argument. ``` params["filter"] = pre_filter ``` Test cases and documentation have also been added. # Issue #11616 # Dependencies No new dependencies have been added. # Documentation I have created the notebook mongodb_atlas_self_query.ipynb outlining the steps to get the self-query mechanism working. I worked closely with [@Farhan-Faisal](https://github.com/Farhan-Faisal) on this PR. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> |
10 months ago |
Josef Zoller |
c2e3963da4
|
Merriam-Webster Dictionary Tool (#12044)
# Description We implemented a simple tool for accessing the Merriam-Webster Collegiate Dictionary API (https://dictionaryapi.com/products/api-collegiate-dictionary). Here's a simple usage example: ```py from langchain.llms import OpenAI from langchain.agents import load_tools, initialize_agent, AgentType llm = OpenAI() tools = load_tools(["serpapi", "merriam-webster"], llm=llm) # Serp API gives our agent access to Google agent = initialize_agent( tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True ) agent.run("What is the english word for the german word Himbeere? Define that word.") ``` Sample output: ``` > Entering new AgentExecutor chain... I need to find the english word for Himbeere and then get the definition of that word. Action: Search Action Input: "English word for Himbeere" Observation: {'type': 'translation_result'} Thought: Now I have the english word, I can look up the definition. Action: MerriamWebster Action Input: raspberry Observation: Definitions of 'raspberry': 1. rasp-ber-ry, noun: any of various usually black or red edible berries that are aggregate fruits consisting of numerous small drupes on a fleshy receptacle and that are usually rounder and smaller than the closely related blackberries 2. rasp-ber-ry, noun: a perennial plant (genus Rubus) of the rose family that bears raspberries 3. rasp-ber-ry, noun: a sound of contempt made by protruding the tongue between the lips and expelling air forcibly to produce a vibration; broadly : an expression of disapproval or contempt 4. black raspberry, noun: a raspberry (Rubus occidentalis) of eastern North America that has a purplish-black fruit and is the source of several cultivated varieties —called also blackcap Thought: I now know the final answer. Final Answer: Raspberry is an english word for Himbeere and it is defined as any of various usually black or red edible berries that are aggregate fruits consisting of numerous small drupes on a fleshy receptacle and that are usually rounder and smaller than the closely related blackberries. > Finished chain. ``` # Issue This closes #12039. # Dependencies We added no extra dependencies. <!-- Thank you for contributing to LangChain! Replace this entire 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 your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Lara <63805048+larkgz@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> |
10 months ago |
Mohammad Mohtashim |
f3dd4a10cf
|
DROP BOX Loader Documentation Update (#14047)
- **Description:** Update the document for drop box loader + made the messages more verbose when loading pdf file since people were getting confused - **Issue:** #13952 - **Tag maintainer:** @baskaryan, @eyurtsev, @hwchase17, --------- Co-authored-by: Erick Friis <erick@langchain.dev> |
10 months ago |
Cheng (William) Huang |
a00db4b28f
|
Add multi-input Reddit search tool (#13893)
- **Description:** Added a tool called RedditSearchRun and an accompanying API wrapper, which searches Reddit for posts with support for time filtering, post sorting, query string and subreddit filtering. - **Issue:** #13891 - **Dependencies:** `praw` module is used to search Reddit - **Tag maintainer:** @baskaryan , and any of the other maintainers if needed - **Twitter handle:** None. Hello, This is our first PR and we hope that our changes will be helpful to the community. We have run `make format`, `make lint` and `make test` locally before submitting the PR. To our knowledge, our changes do not introduce any new errors. Our PR integrates the `praw` package which is already used by RedditPostsLoader in LangChain. Nonetheless, we have added integration tests and edited unit tests to test our changes. An example notebook is also provided. These changes were put together by me, @Anika2000, @CharlesXu123, and @Jeremy-Cheng-stack Thank you in advance to the maintainers for their time. --------- Co-authored-by: What-Is-A-Username <49571870+What-Is-A-Username@users.noreply.github.com> Co-authored-by: Anika2000 <anika.sultana@mail.utoronto.ca> Co-authored-by: Jeremy Cheng <81793294+Jeremy-Cheng-stack@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> |
10 months ago |
Jawad Arshad |
00a6e8962c
|
langchain[minor]: Add serpapi tools (#13934)
- **Description:** Added some of the more endpoints supported by serpapi that are not suported on langchain at the moment, like google trends, google finance, google jobs, and google lens - **Issue:** [Add support for many of the querying endpoints with serpapi #11811](https://github.com/langchain-ai/langchain/issues/11811) --------- Co-authored-by: zushenglu <58179949+zushenglu@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Ian Xu <ian.xu@mail.utoronto.ca> Co-authored-by: zushenglu <zushenglu1809@gmail.com> Co-authored-by: KevinT928 <96837880+KevinT928@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com> |
10 months ago |
h3l |
dbaeb163aa
|
langchain[minor]: add volcengine endpoint as LLM (#13942)
- **Description:** Volc Engine MaaS serves as an enterprise-grade, large-model service platform designed for developers. You can visit its homepage at https://www.volcengine.com/docs/82379/1099455 for details. This change will facilitate developers to integrate quickly with the platform. - **Issue:** None - **Dependencies:** volcengine - **Tag maintainer:** @baskaryan - **Twitter handle:** @he1v3tica --------- Co-authored-by: lvzhong <lvzhong@bytedance.com> |
10 months ago |
Mohammad Ahmad |
1600ebe6c7
|
langchain[patch]: Mask API key for ForeFrontAI LLM (#14013)
- **Description:** Mask API key for ForeFrontAI LLM and associated unit tests - **Issue:** https://github.com/langchain-ai/langchain/issues/12165 - **Dependencies:** N/A - **Tag maintainer:** @eyurtsev - **Twitter handle:** `__mmahmad__` I made the API key non-optional since linting required adding validation for None, but the key is required per documentation: https://python.langchain.com/docs/integrations/llms/forefrontai |
10 months ago |
yoch |
a0e859df51
|
langchain[patch]: fix cohere reranker init #12899 (#14029)
- **Description:** use post field validation for `CohereRerank` - **Issue:** #12899 and #13058 - **Dependencies:** - **Tag maintainer:** @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com> |
10 months ago |
123-fake-st |
9bd6e9df36
|
update pdf document loaders' metadata source to url for online pdf (#13274)
- **Description:** Update 5 pdf document loaders in `langchain.document_loaders.pdf`, to store a url in the metadata (instead of a temporary, local file path) if the user provides a web path to a pdf: `PyPDFium2Loader`, `PDFMinerLoader`, `PDFMinerPDFasHTMLLoader`, `PyMuPDFLoader`, and `PDFPlumberLoader` were updated. - The updates follow the approach used to update `PyPDFLoader` for the same behavior in #12092 - The `PyMuPDFLoader` changes required additional work in updating `langchain.document_loaders.parsers.pdf.PyMuPDFParser` to be able to process either an `io.BufferedReader` (from local pdf) or `io.BytesIO` (from online pdf) - The `PDFMinerPDFasHTMLLoader` change used a simpler approach since the metadata is assigned by the loader and not the parser - **Issue:** Fixes #7034 - **Dependencies:** None ```python # PyPDFium2Loader example: # old behavior >>> from langchain.document_loaders import PyPDFium2Loader >>> loader = PyPDFium2Loader('https://arxiv.org/pdf/1706.03762.pdf') >>> docs = loader.load() >>> docs[0].metadata {'source': '/var/folders/7z/d5dt407n673drh1f5cm8spj40000gn/T/tmpm5oqa92f/tmp.pdf', 'page': 0} # new behavior >>> from langchain.document_loaders import PyPDFium2Loader >>> loader = PyPDFium2Loader('https://arxiv.org/pdf/1706.03762.pdf') >>> docs = loader.load() >>> docs[0].metadata {'source': 'https://arxiv.org/pdf/1706.03762.pdf', 'page': 0} ``` |
10 months ago |
Toshish Jawale |
6f64cb5078
|
Remove deprecated param and flexibility for prompt (#13310)
- **Description:** Updated to remove deprecated parameter penalty_alpha, and use string variation of prompt rather than json object for better flexibility. - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** N/A - **Tag maintainer:** @eyurtsev - **Twitter handle:** @symbldotai --------- Co-authored-by: toshishjawale <toshish@symbl.ai> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> |
10 months ago |
Tomaz Bratanic |
3eb391561b
|
langchain[minor]: Reduce the number of tokens required to describe a Cypher/Neo4j schema (#13851)
Instead of using JSON-like syntax to describe node and relationship properties we changed to a shorter and more concise schema description Old: ``` Node properties are the following: [{'properties': [{'property': 'name', 'type': 'STRING'}], 'labels': 'Movie'}, {'properties': [{'property': 'name', 'type': 'STRING'}], 'labels': 'Actor'}] Relationship properties are the following: [] The relationships are the following: ['(:Actor)-[:ACTED_IN]->(:Movie)'] ``` New: ``` Node properties are the following: Movie {name: STRING},Actor {name: STRING} Relationship properties are the following: The relationships are the following: (:Actor)-[:ACTED_IN]->(:Movie) ``` |
10 months ago |
Sauhaard |
7ec4dbeb80
|
langchain[minor]: Add StackExchange API integration (#14002)
Implements [#12115](https://github.com/langchain-ai/langchain/issues/12115) Who can review? @baskaryan , @eyurtsev , @hwchase17 Integrated Stack Exchange API into Langchain, enabling access to diverse communities within the platform. This addition enhances Langchain's capabilities by allowing users to query Stack Exchange for specialized information and engage in discussions. The integration provides seamless interaction with Stack Exchange content, offering content from varied knowledge repositories. A notebook example and test cases were included to demonstrate the functionality and reliability of this integration. - Add StackExchange as a tool. - Add unit test for the StackExchange wrapper and tool. - Add documentation for the StackExchange wrapper and tool. If you have time, could you please review the code and provide any feedback as necessary! My team is welcome to any suggestions. --------- Co-authored-by: Yuval Kamani <yuvalkamani@gmail.com> Co-authored-by: Aryan Thakur <aryanthakur@Aryans-MacBook-Pro.local> Co-authored-by: Manas1818 <79381912+manas1818@users.noreply.github.com> Co-authored-by: aryan-thakur <61063777+aryan-thakur@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com> |
10 months ago |
Bagatur |
d4405bc94e
|
langchain[patch]: Release 0.0.343 (#14037) | 10 months ago |
Erick Friis |
3c29b0ded5
|
templates[patch]: template pyproject updates (#14035) | 10 months ago |
Yves Zumbühl |
9c0ad0cebb
|
langchain[patch]: Improve HyDe with custom prompts and ability to supply the run_manager (#14016)
- **Description:** The class allows to only select between a few predefined prompts from the paper. That is not ideal, since other use cases might need a custom prompt. The changes made allow for this. To be able to monitor those, I also added functionality to supply a custom run_manager. - **Issue:** no issue, but a new feature, - **Dependencies:** none, - **Tag maintainer:** @hwchase17, - **Twitter handle:** @yvesloy --------- Co-authored-by: Bagatur <baskaryan@gmail.com> |
10 months ago |
Anton Romanov |
4964278ce4
|
docs[patch]: Update typo in map.ipynb (#14030)
fix the typo in docs, using "with" instead of "when" |
10 months ago |
Chad Norvell |
1c4bfb8c5f
|
langchain[patch]: Mathpix PDF loader supports arbitrary extra params (#13950)
- **Description:** Support providing whatever extra parameters you want to the Mathpix PDF loader API request. - **Issue:** #12773 - **Dependencies:** None --------- Co-authored-by: Bagatur <baskaryan@gmail.com> |
10 months ago |
Unai Garay Maestre |
9e2ae866c4
|
langchain[patch]: Adds progress bar to GooglePalmEmbeddings (#13812)
- **Description:** Adds a tqdm progress bar to GooglePalmEmbeddings when embedding a list. - **Issue:** #13637 - **Dependencies:** TQDM as a main dependency (instead of extra) Signed-off-by: ugm2 <unaigaraymaestre@gmail.com> --------- Signed-off-by: ugm2 <unaigaraymaestre@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> |
10 months ago |
Richie |
1cd9d5f332
|
docs[patch]: fix typo langchain version for mongodb integration (#14006)
- **Description:** update minimal supported langchain version for [mongodb atlast integration webpage](https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas) - **Issue:** none - **Dependencies:** none ----- Just fixing a typo. In [mongodb atlas vectorstore integration page](https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas), `langchain` support for `$vectorSearch MQL stage` should be `0.0.305` rather than `0.0.35` |
10 months ago |
David Norman |
a578076aea
|
Mask api key for Together LLM (#13981)
- **Description:** Add unit tests and mask api key for Together LLM - **Issue:** the issue https://github.com/langchain-ai/langchain/issues/12165 , - **Dependencies:** N/A - **Tag maintainer:** ?, - **Twitter handle:** N/A --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> |
10 months ago |
Pavel Zwerschke |
5f5c701f2c
|
docs: Install langsmith from conda-forge (#13335)
<!-- Thank you for contributing to LangChain!
Replace this entire 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 your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.
See contribution guidelines for more information on how to write/run
tests, lint, etc:
https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md
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. It lives in `docs/extras`
directory.
If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
-->
langsmith is available on conda-forge as well and also a dependency of
the package so it gets installed either way by conda
|
10 months ago |
Piotr Ząbek |
d0b818b634
|
DOCS: added missing imports (#13736) (#13737)
- **Description:** Fixed missing imports in docs - **Issue:** [#13736](https://github.com/langchain-ai/langchain/issues/13736) - **Dependencies:** N/A |
10 months ago |
Johnny |
6463d2d0bd
|
small fix matching engine AttributeError - object has no attribute (#13763)
This PR is fixing an attributeError: object endpoint has no attribute "_public_match_client" when using gcp matching engine with private VPC network. @baskaryan, @eyurtsev, @hwchase17. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> |
10 months ago |
Amyh102 |
750485eaa8
|
Add object parsing functionality (#13864)
* **Description:** Parses huggingface dataset Sequence objects into strings for Document loading. * **Issue:** Fixes #10674 * **Tag maintainter:** @baskaryan @eyurtsev --------- Co-authored-by: Amy Han <amyhan@Amys-Air.lan> Co-authored-by: Amy Han <amyhan@Amys-MacBook-Air.local> |
10 months ago |
ggeutzzang |
981f78f920
|
Fix: (issue #13825) Getting an error with DallEAPIWrapper (#13874)
- **Description:** As of OpenAI's Python package 1.0, the existing DallEAPIWrapper does not work correctly, so the example in the LangChain Documentation link below does not work either. https://python.langchain.com/docs/integrations/tools/dalle_image_generator Also, since OpenAI only supports DALL-E version 2 or version 3, I modified the DallEAPIWrapper to support it. - **Issue:** #13825 - **Twitter handle:** ggeutzzang |
10 months ago |
Kunal |
74045bf5c0
|
max length attribute for spacy splitter for large docs (#13875)
For large size documents spacy splitter doesn't work it throws an error as shown in below screenshot. Reason its default max_length is 1000000 and there is no option to increase it. So i added it in this PR. ![image](https://github.com/langchain-ai/langchain/assets/73680423/613625c3-0e21-4834-9aad-2a73cf56eecc) --------- Co-authored-by: Bagatur <baskaryan@gmail.com> |
10 months ago |
Yusuf Khan |
0bc7c1b5b4
|
Add Outline provider doc (#13938)
- **Description:** Added a provider doc to `docs/integrations/providers` for the new Outline integration in #13889 - **Tag maintainer:** @baskaryan |
10 months ago |
colton |
643d28847d
|
[docs] fix reduce prompt in summarization example (#13726)
<!-- Thank you for contributing to LangChain! Replace this entire 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 your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> Small fix to _summarization_ example, `reduce_template` should use `{docs}` variable. Bug likely introduced as following code suggests using `hub.pull("rlm/map-prompt")` instead of defined prompt. |
10 months ago |
Wang Wei |
fe9341a29c
|
feat: Add ERNIE-Bot-8K model support for ErnieBotChat. (#13716)
- **Description:** According to the document https://cloud.baidu.com/doc/WENXINWORKSHOP/s/6lp69is2a, add ERNIE-Bot-8K model support for ErnieBotChat. - **Dependencies:** Before using the ERNIE-Bot-8K, you should have the model's access authority. |
10 months ago |
Leonid Ganeline |
5c28bb63dd
|
docs `microsoft` page updates (#14000)
The Excel, PowerPoint and SharePoint document loaders were missed in the `Microsoft` platform page. - added these references |
10 months ago |
Leonid Ganeline |
15b32cfcd4
|
docs `OpenAI` platform page update (#14001)
Missed the OpenAI adapter reference in the OpenAI platform page - Added this reference |
10 months ago |
Burak Ömür |
0e462b72ef
|
Update openai/create_llm_result function to consider kwargs (#13815)
Replace this entire comment with: - **Description:** updates `create_llm_result` function within `openai.py` to consider latest `params`, - **Issue:** #8928 - **Dependencies:** -, - **Tag maintainer:** - - **Twitter handle:** [burkomr](https://twitter.com/burkomr) <!-- If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Burak Ömür <burakomur@retorio.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> |
10 months ago |
chyroc |
f97ab84c6b
|
Merge pull request #13907
* feat: mask api_key for jina |
10 months ago |
nhywieza |
9b86fb3fcb
|
secretStr for baichuan chat model api key (#13946)
Merge pull request #13946 * secretStr for baichuan chat model api key |
10 months ago |
卢靖轩 |
aff1dba252
|
Merge pull request #13945
* feat: mask api key for nlpcloud |
10 months ago |
Leonid Kuligin |
85bb3a418c
|
Switched VertexAI models from preview (#13657)
Replace this entire comment with: - **Description:** VertexAI models are now GA, moved away from using preview ones from the SDK - **Issue:** #13606 --------- Co-authored-by: Nuno Campos <nuno@boringbits.io> |
10 months ago |
WaseemH |
a47f1da884
|
docs[patch]: RAG Cookbook example fix (#13914)
### Description:
Hey 👋🏽 this is a small docs example fix. Hoping it helps future developers who are working with Langchain.
### Problem:
Take a look at the original example code. You were not able to get the `dialogue_turn[0]` while it was a tuple.
Original code:
```python
def _format_chat_history(chat_history: List[Tuple]) -> str:
buffer = ""
for dialogue_turn in chat_history:
human = "Human: " + dialogue_turn[0]
ai = "Assistant: " + dialogue_turn[1]
buffer += "\n" + "\n".join([human, ai])
return buffer
```
In the original code you were getting this error:
```bash
human = "Human: " + dialogue_turn[0].content
~~~~~~~~~~~~~^^^
TypeError: 'HumanMessage' object is not subscriptable
```
### Solution:
The fix is to just for loop over the chat history and look to see if its a human or ai message and add it to the buffer.
|
10 months ago |
Erick Friis |
5eca1bd93f
|
Library Licenses (#13300)
Same change as #8403 but in other libs also updates (c) LangChain Inc. instead of @hwchase17 |
10 months ago |
Bagatur |
14799b139a
|
infra[patch]: add base deps and fix docs lint (#13998) | 10 months ago |
Théo LEBRUN |
926d4cfda7
|
Set default region from boto3 session for Bedrock (#13694)
- **Description:** Set default region from boto3 session for Bedrock - **Issue:** #13683 |
10 months ago |
Snow |
1a33e5b500
|
Repair Wikipedia document loader `load_max_docs` and improve test coverage. (#13769)
**Description:** Repair Wikipedia document loader `load_max_docs` and improve test coverage. **Issue:** The Wikipedia document loader was not respecting the `load_max_docs` paramater (not reported) and would always return a maximum of 10 documents. This is because the API wrapper (in `utilities/wikipedia.py`) wasn't passing `top_k_results` to the underlying [Wikipedia library](https://wikipedia.readthedocs.io/en/latest/code.html#module-wikipedia). By default this library returns 10 results. The default number of results for the document loader has been reduced from 100 to 25. This is because loading 100 results takes a very long time and is an inconvenient default. It should possibly be 10. In addition, the documentation for the loader reported that there was a hard limit (300) on the number of documents returned. In actuality 300 is the maximum Wikipedia query character length set by the API wrapper. Tests have been added for the document loader (previously missing) and to test the correct numbers of documents are being returned by each class, both by default, and when overridden. Also repaired is the `assert_docs` test which has been updated to correctly test for the default metadata (which includes `source` in recent releases). **Dependencies:** nil **Tag maintainer:** @leo-gan **Twitter handle:** @queenvictoria |
10 months ago |
Bob Lin |
04c4878306
|
Remove `python_repl` from _BASE_TOOLS (#13962)
### **Description:** Previously `python_repl` was a built-in tool, but now it has been moved to `langchain_experimental`. When I use `load_tools` I get an error: ```python In [1]: from langchain.agents import load_tools In [2]: load_tools(["python_repl"]) --------------------------------------------------------------------------- ImportError Traceback (most recent call last) Cell In[2], line 1 ----> 1 load_tools(["python_repl"]) File ~/workspace/langchain/libs/langchain/langchain/agents/load_tools.py:530, in load_tools(tool_names, llm, callbacks, **kwargs) 528 tool_names.extend(requests_method_tools) 529 elif name in _BASE_TOOLS: --> 530 tools.append(_BASE_TOOLS[name]()) 531 elif name in _LLM_TOOLS: 532 if llm is None: File ~/workspace/langchain/libs/langchain/langchain/agents/load_tools.py:84, in _get_python_repl() 83 def _get_python_repl() -> BaseTool: ---> 84 raise ImportError( 85 "This tool has been moved to langchain experiment. " 86 "This tool has access to a python REPL. " 87 "For best practices make sure to sandbox this tool. " 88 "Read https://github.com/langchain-ai/langchain/blob/master/SECURITY.md " 89 "To keep using this code as is, install langchain experimental and " 90 "update relevant imports replacing 'langchain' with 'langchain_experimental'" 91 ) ImportError: This tool has been moved to langchain experiment. This tool has access to a python REPL. For best practices make sure to sandbox this tool. Read https://github.com/langchain-ai/langchain/blob/master/SECURITY.md To keep using this code as is, install langchain experimental and update relevant imports replacing 'langchain' with 'langchain_experimental' ``` In this case, it will be very confusing. I think it is no longer a built-in tool now, so it can be removed from `_BASE_TOOLS` ### **Issue:** https://github.com/langchain-ai/langchain/issues/13858, https://github.com/langchain-ai/langchain/issues/13859, https://github.com/langchain-ai/langchain/issues/13856 ### **Twitter handle:** [lin_bob57617](https://twitter.com/lin_bob57617) |
10 months ago |
Leonid Ganeline |
52eee458bb
|
renamed `google_vertex_ai_vector_search` notebook (#13484)
The `integrations/vectorstores/matchingengine.ipynb` example has the "Google Vertex AI Vector Search" title. This place this Title in the wrong order in the ToC (it is sorted by the file name). - Renamed `integrations/vectorstores/matchingengine.ipynb` into `integrations/vectorstores/google_vertex_ai_vector_search.ipynb`. - Updated a correspondent comment in docstring - Rerouted old URL to a new URL --------- Co-authored-by: Erick Friis <erick@langchain.dev> |
10 months ago |
Leonid Ganeline |
f5326cfb4e
|
docs[patch]: link to LangSmith docs (#13740)
It happens that there is no link to the LangSmith Docs from the LangChain Docs. Added this link |
10 months ago |