langchain

Commit Graph

Author	SHA1	Message	Date
Matt Wells	1d861dc37a	MRKL output parser no longer breaks well formed queries (#5432 ) # Handles the edge scenario in which the action input is a well formed SQL query which ends with a quoted column There may be a cleaner option here (or indeed other edge scenarios) but this seems to robustly determine if the action input is likely to be a well formed SQL query in which we don't want to arbitrarily trim off `"` characters Fixes #5423 ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Agents / Tools / Toolkits - @vowelparrot	1 year ago
Yoann Poupart	c1807d8408	`encoding_kwargs` for InstructEmbeddings (#5450 ) # What does this PR do? Bring support of `encode_kwargs` for ` HuggingFaceInstructEmbeddings`, change the docstring example and add a test to illustrate with `normalize_embeddings`. Fixes #3605 (Similar to #3914) Use case: ```python from langchain.embeddings import HuggingFaceInstructEmbeddings model_name = "hkunlp/instructor-large" model_kwargs = {'device': 'cpu'} encode_kwargs = {'normalize_embeddings': True} hf = HuggingFaceInstructEmbeddings( model_name=model_name, model_kwargs=model_kwargs, encode_kwargs=encode_kwargs ) ```	1 year ago
ByronHsu	9d658aaa5a	Add more code splitters (go, rst, js, java, cpp, scala, ruby, php, swift, rust) (#5171 ) As the title says, I added more code splitters. The implementation is trivial, so i don't add separate tests for each splitter. Let me know if any concerns. Fixes # (issue) https://github.com/hwchase17/langchain/issues/5170 ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: @eyurtsev @hwchase17 --------- Signed-off-by: byhsu <byhsu@linkedin.com> Co-authored-by: byhsu <byhsu@linkedin.com>	1 year ago
Paul-Emile Brotons	a61b7f7e7c	adding MongoDBAtlasVectorSearch (#5338 ) # Add MongoDBAtlasVectorSearch for the python library Fixes #5337 --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Harrison Chase	760632b292	Harrison/spark reader (#5405 ) Co-authored-by: Rithwik Ediga Lakhamsani <rithwik.ediga@databricks.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
UmerHA	8259f9b7fa	DocumentLoader for GitHub (#5408 ) # Creates GitHubLoader (#5257) GitHubLoader is a DocumentLoader that loads issues and PRs from GitHub. Fixes #5257 --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
German Martin	0b3e0dd1d2	New Trello document loader (#4767 ) # Added New Trello loader class and documentation Simple Loader on top of py-trello wrapper. With a board name you can pull cards and to do some field parameter tweaks on load operation. I included documentation and examples. Included unit test cases using patch and a fixture for py-trello client class. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Harrison Chase	72f99ff953	Harrison/text splitter (#5417 ) adds support for keeping separators around when using recursive text splitter	1 year ago
小铭	cf5803e44c	Add ToolException that a tool can throw. (#5050 ) # Add ToolException that a tool can throw This is an optional exception that tool throws when execution error occurs. When this exception is thrown, the agent will not stop working,but will handle the exception according to the handle_tool_error variable of the tool,and the processing result will be returned to the agent as observation,and printed in pink on the console.It can be used like this: ```python from langchain.schema import ToolException from langchain import LLMMathChain, SerpAPIWrapper, OpenAI from langchain.agents import AgentType, initialize_agent from langchain.chat_models import ChatOpenAI from langchain.tools import BaseTool, StructuredTool, Tool, tool from langchain.chat_models import ChatOpenAI llm = ChatOpenAI(temperature=0) llm_math_chain = LLMMathChain(llm=llm, verbose=True) class Error_tool: def run(self, s: str): raise ToolException('The current search tool is not available.') def handle_tool_error(error) -> str: return "The following errors occurred during tool execution:"+str(error) search_tool1 = Error_tool() search_tool2 = SerpAPIWrapper() tools = [ Tool.from_function( func=search_tool1.run, name="Search_tool1", description="useful for when you need to answer questions about current events.You should give priority to using it.", handle_tool_error=handle_tool_error, ), Tool.from_function( func=search_tool2.run, name="Search_tool2", description="useful for when you need to answer questions about current events", return_direct=True, ) ] agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True, handle_tool_errors=handle_tool_error) agent.run("Who is Leo DiCaprio's girlfriend? What is her current age raised to the 0.43 power?") ``` ![image](https://github.com/hwchase17/langchain/assets/32786500/51930410-b26e-4f85-a1e1-e6a6fb450ada) ## Who can review? - @vowelparrot --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Harrison Chase	2da8c48be1	Harrison/datetime parser (#4693 ) Co-authored-by: Jacob Valdez <jacobfv@msn.com> Co-authored-by: Jacob Valdez <jacob.valdez@limboid.ai> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
Eduard van Valkenburg	ccb6238de1	Implemented appending arbitrary messages (#5293 ) # Implemented appending arbitrary messages to the base chat message history, the in-memory and cosmos ones. <!-- Thank you for contributing to LangChain! Your PR will appear in our next release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. --> As discussed this is the alternative way instead of #4480, with a add_message method added that takes a BaseMessage as input, so that the user can control what is in the base message like kwargs. <!-- Remove if not applicable --> Fixes # (issue) ## Before submitting <!-- If you're adding a new integration, include an integration test and an example notebook showing its use! --> ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: @hwchase17 --------- Co-authored-by: Harrison Chase <hw.chase.17@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
Justin Flick	c09f8e4ddc	Add pagination for Vertex AI embeddings (#5325 ) Fixes #5316 --------- Co-authored-by: Justin Flick <jflick@homesite.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Martin Holecek	44b48d9518	Fix update_document function, add test and documentation. (#5359 ) # Fix for `update_document` Function in Chroma ## Summary This pull request addresses an issue with the `update_document` function in the Chroma class, as described in [#5031](https://github.com/hwchase17/langchain/issues/5031#issuecomment-1562577947). The issue was identified as an `AttributeError` raised when calling `update_document` due to a missing corresponding method in the `Collection` object. This fix refactors the `update_document` method in `Chroma` to correctly interact with the `Collection` object. ## Changes 1. Fixed the `update_document` method in the `Chroma` class to correctly call methods on the `Collection` object. 2. Added the corresponding test `test_chroma_update_document` in `tests/integration_tests/vectorstores/test_chroma.py` to reflect the updated method call. 3. Added an example and explanation of how to use the `update_document` function in the Jupyter notebook tutorial for Chroma. ## Test Plan All existing tests pass after this change. In addition, the `test_chroma_update_document` test case now correctly checks the functionality of `update_document`, ensuring that the function works as expected and updates the content of documents correctly. ## Reviewers @dev2049 This fix will ensure that users are able to use the `update_document` function as expected, without encountering the previous `AttributeError`. This will enhance the usability and reliability of the Chroma class for all users. Thank you for considering this pull request. I look forward to your feedback and suggestions.	1 year ago
Gael Grosch	8b7721ebbb	fix: Blob.from_data mimetype is lost (#5395 ) # Fix lost mimetype when using Blob.from_data method The mimetype is lost due to a typo in the class attribue name Fixes # - (no issue opened but I can open one if needed) ## Changes * Fixed typo in name * Added unit-tests to validate the output Blob ## Review @eyurtsev	1 year ago
Harrison Chase	6df90ad9fd	handle json parsing errors (#5371 ) adds tests cases, consolidates a lot of PRs	1 year ago
os1ma	1366d070fc	Add path validation to DirectoryLoader (#5327 ) # Add path validation to DirectoryLoader This PR introduces a minor adjustment to the DirectoryLoader by adding validation for the path argument. Previously, if the provided path didn't exist or wasn't a directory, DirectoryLoader would return an empty document list due to the behavior of the `glob` method. This could potentially cause confusion for users, as they might expect a file-loading error instead. So, I've added two validations to the load method of the DirectoryLoader: - Raise a FileNotFoundError if the provided path does not exist - Raise a ValueError if the provided path is not a directory Due to the relatively small scope of these changes, a new issue was not created. ## Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: @eyurtsev	1 year ago
Janos Tolgyesi	5f4552391f	Add SKLearnVectorStore (#5305 ) # Add SKLearnVectorStore This PR adds SKLearnVectorStore, a simply vector store based on NearestNeighbors implementations in the scikit-learn package. This provides a simple drop-in vector store implementation with minimal dependencies (scikit-learn is typically installed in a data scientist / ml engineer environment). The vector store can be persisted and loaded from json, bson and parquet format. SKLearnVectorStore has soft (dynamic) dependency on the scikit-learn, numpy and pandas packages. Persisting to bson requires the bson package, persisting to parquet requires the pyarrow package. ## Before submitting Integration tests are provided under `tests/integration_tests/vectorstores/test_sklearn.py` Sample usage notebook is provided under `docs/modules/indexes/vectorstores/examples/sklear.ipynb` Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Harrison Chase	179ddbe88b	add enum output parser (#5165 )	1 year ago
Ted Martinez	1cb6498fdb	Tedma4/twilio tool (#5136 ) # Add twilio sms tool --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Michael Landis	7047a2c1af	feat: add Momento as a standard cache and chat message history provider (#5221 ) # Add Momento as a standard cache and chat message history provider This PR adds Momento as a standard caching provider. Implements the interface, adds integration tests, and documentation. We also add Momento as a chat history message provider along with integration tests, and documentation. [Momento](https://www.gomomento.com/) is a fully serverless cache. Similar to S3 or DynamoDB, it requires zero configuration, infrastructure management, and is instantly available. Users sign up for free and get 50GB of data in/out for free every month. ## Before submitting ✅ We have added documentation, notebooks, and integration tests demonstrating usage. Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Nicholas Liu	7652d2abb0	Add Multi-CSV/DF support in CSV and DataFrame Toolkits (#5009 ) Add Multi-CSV/DF support in CSV and DataFrame Toolkits * CSV and DataFrame toolkits now accept list of CSVs/DFs * Add default prompts for many dataframes in `pandas_dataframe` toolkit Fixes #1958 Potentially fixes #4423 ## Testing * Add single and multi-dataframe integration tests for `pandas_dataframe` toolkit with permutations of `include_df_in_prompt` * Add single and multi-CSV integration tests for csv toolkit --------- Co-authored-by: Harrison Chase <hw.chase.17@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
Davis Chase	ca88b25da6	Zep sdk version (#5267 ) zep-python's sync methods no longer need an asyncio wrapper. This was causing issues with FastAPI deployment. Zep also now supports putting and getting of arbitrary message metadata. Bump zep-python version to v0.30 Remove nest-asyncio from Zep example notebooks. Modify tests to include metadata. --------- Co-authored-by: Daniel Chalef <daniel.chalef@private.org> Co-authored-by: Daniel Chalef <131175+danielchalef@users.noreply.github.com>	1 year ago
Eugene Yurtsev	5cfa72a130	Bibtex integration for document loader and retriever (#5137 ) # Bibtex integration Wrap bibtexparser to retrieve a list of docs from a bibtex file. * Get the metadata from the bibtex entries * `page_content` get from the local pdf referenced in the `file` field of the bibtex entry using `pymupdf` * If no valid pdf file, `page_content` set to the `abstract` field of the bibtex entry * Support Zotero flavour using regex to get the file path * Added usage example in `docs/modules/indexes/document_loaders/examples/bibtex.ipynb` --------- Co-authored-by: Sébastien M. Popoff <sebastien.popoff@espci.fr> 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
Zander Chase	e76e68b211	Add Delete Session Method (#5193 )	1 year ago
Alon Diament	44abe925df	Add Joplin document loader (#5153 ) # Add Joplin document loader [Joplin](https://joplinapp.org/) is an open source note-taking app. Joplin has a [REST API](https://joplinapp.org/api/references/rest_api/) for accessing its local database. The proposed `JoplinLoader` uses the API to retrieve all notes in the database and their metadata. Joplin needs to be installed and running locally, and an access token is required. - The PR includes an integration test. - The PR includes an example notebook. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
ByronHsu	f0730c6489	Allow readthedoc loader to pass custom html tag (#5175 ) ## Description The html structure of readthedocs can differ. Currently, the html tag is hardcoded in the reader, and unable to fit into some cases. This pr includes the following changes: 1. Replace `find_all` with `find` because we just want one tag. 2. Provide `custom_html_tag` to the loader. 3. Add tests for readthedoc loader 4. Refactor code ## Issues See more in https://github.com/hwchase17/langchain/pull/2609. The problem was not completely fixed in that pr. --------- Signed-off-by: byhsu <byhsu@linkedin.com> Co-authored-by: byhsu <byhsu@linkedin.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Tommaso De Lorenzo	52714cedd4	fixing total cost finetuned model giving zero (#5144 ) # OpanAI finetuned model giving zero tokens cost Very simple fix to the previously committed solution to allowing finetuned Openai models. Improves #5127 --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Harrison Chase	94cf391ef1	standardize json parsing (#5168 ) Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Davis Chase	2b2176a3c1	tfidf retriever (#5114 ) Co-authored-by: vempaliakhil96 <vempaliakhil96@gmail.com>	1 year ago
Harrison Chase	11c26ebb55	Harrison/modelscope (#5156 ) Co-authored-by: thomas-yanxin <yx20001210@163.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.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
Ofer Mendelevitch	c81fb88035	Vectara (#5069 ) # Vectara Integration This PR provides integration with Vectara. Implemented here are: * langchain/vectorstore/vectara.py * tests/integration_tests/vectorstores/test_vectara.py * langchain/retrievers/vectara_retriever.py And two IPYNB notebooks to do more testing: * docs/modules/chains/index_examples/vectara_text_generation.ipynb * docs/modules/indexes/vectorstores/examples/vectara.ipynb --------- 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
Jeff Vestal	0b542a9706	Add ElasticsearchEmbeddings class for generating embeddings using Elasticsearch models (#3401 ) This PR introduces a new module, `elasticsearch_embeddings.py`, which provides a wrapper around Elasticsearch embedding models. The new ElasticsearchEmbeddings class allows users to generate embeddings for documents and query texts using a [model deployed in an Elasticsearch cluster](https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-model-ref.html#ml-nlp-model-ref-text-embedding). ### Main features: 1. The ElasticsearchEmbeddings class initializes with an Elasticsearch connection object and a model_id, providing an interface to interact with the Elasticsearch ML client through [infer_trained_model](https://elasticsearch-py.readthedocs.io/en/v8.7.0/api.html?highlight=trained%20model%20infer#elasticsearch.client.MlClient.infer_trained_model) . 2. The `embed_documents()` method generates embeddings for a list of documents, and the `embed_query()` method generates an embedding for a single query text. 3. The class supports custom input text field names in case the deployed model expects a different field name than the default `text_field`. 4. The implementation is compatible with any model deployed in Elasticsearch that generates embeddings as output. ### Benefits: 1. Simplifies the process of generating embeddings using Elasticsearch models. 2. Provides a clean and intuitive interface to interact with the Elasticsearch ML client. 3. Allows users to easily integrate Elasticsearch-generated embeddings. Related issue https://github.com/hwchase17/langchain/issues/3400 --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Tian Wei	d7f807b71f	Add AzureCognitiveServicesToolkit to call Azure Cognitive Services API (#5012 ) # Add AzureCognitiveServicesToolkit to call Azure Cognitive Services API: achieve some multimodal capabilities This PR adds a toolkit named AzureCognitiveServicesToolkit which bundles the following tools: - AzureCogsImageAnalysisTool: calls Azure Cognitive Services image analysis API to extract caption, objects, tags, and text from images. - AzureCogsFormRecognizerTool: calls Azure Cognitive Services form recognizer API to extract text, tables, and key-value pairs from documents. - AzureCogsSpeech2TextTool: calls Azure Cognitive Services speech to text API to transcribe speech to text. - AzureCogsText2SpeechTool: calls Azure Cognitive Services text to speech API to synthesize text to speech. This toolkit can be used to process image, document, and audio inputs. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Eugene Yurtsev	d56313acba	Improve effeciency of TextSplitter.split_documents, iterate once (#5111 ) # Improve TextSplitter.split_documents, collect page_content and metadata in one iteration ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: @eyurtsev In the case where documents is a generator that can only be iterated once making this change is a huge help. Otherwise a silent issue happens where metadata is empty for all documents when documents is a generator. So we expand the argument from `List[Document]` to `Union[Iterable[Document], Sequence[Document]]` --------- Co-authored-by: Steven Tartakovsky <tartakovsky.developer@gmail.com>	1 year ago
Jettro Coenradie	b950022894	Fixes issue #5072 - adds additional support to Weaviate (#5085 ) Implementation is similar to search_distance and where_filter # adds 'additional' support to Weaviate queries Co-authored-by: Dev 2049 <dev.dev2049@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
Gergely Imreh	69de33e024	Add Mastodon toots loader (#5036 ) # Add Mastodon toots loader. Loader works either with public toots, or Mastodon app credentials. Toot text and user info is loaded. I've also added integration test for this new loader as it works with public data, and a notebook with example output run now. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Eduard van Valkenburg	1cb04f2b26	PowerBI major refinement in working of tool and tweaks in the rest (#5090 ) # PowerBI major refinement in working of tool and tweaks in the rest I've gained some experience with more complex sets and the earlier implementation had too many tries by the agent to create DAX, so refactored the code to run the LLM to create dax based on a question and then immediately run the same against the dataset, with retries and a prompt that includes the error for the retry. This works much better! Also did some other refactoring of the inner workings, making things clearer, more concise and faster.	1 year ago
hwaking	e57ebf3922	add get_top_k_cosine_similarity method to get max top k score and index (#5059 ) # Row-wise cosine similarity between two equal-width matrices and return the max top_k score and index, the score all greater than threshold_score. Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Donger	039f8f1abb	Add the usage of SSL certificates for Elasticsearch and user password authentication (#5058 ) Enhance the code to support SSL authentication for Elasticsearch when using the VectorStore module, as previous versions did not provide this capability. @dev2049 --------- Co-authored-by: caidong <zhucaidong1992@gmail.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Deepak S V	5cd12102be	Improving Resilience of MRKL Agent (#5014 ) This is a highly optimized update to the pull request https://github.com/hwchase17/langchain/pull/3269 Summary: 1) Added ability to MRKL agent to self solve the ValueError(f"Could not parse LLM output: `{llm_output}`") error, whenever llm (especially gpt-3.5-turbo) does not follow the format of MRKL Agent, while returning "Action:" & "Action Input:". 2) The way I am solving this error is by responding back to the llm with the messages "Invalid Format: Missing 'Action:' after 'Thought:'" & "Invalid Format: Missing 'Action Input:' after 'Action:'" whenever Action: and Action Input: are not present in the llm output respectively. For a detailed explanation, look at the previous pull request. New Updates: 1) Since @hwchase17 , requested in the previous PR to communicate the self correction (error) message, using the OutputParserException, I have added new ability to the OutputParserException class to store the observation & previous llm_output in order to communicate it to the next Agent's prompt. This is done, without breaking/modifying any of the functionality OutputParserException previously performs (i.e. OutputParserException can be used in the same way as before, without passing any observation & previous llm_output too). --------- Co-authored-by: Deepak S V <svdeepak99@users.noreply.github.com>	1 year ago
Harrison Chase	10ba201d05	Harrison/neo4j (#5078 ) Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Deepak S V	49ca02711e	Improved query, print & exception handling in REPL Tool (#4997 ) Update to pull request https://github.com/hwchase17/langchain/pull/3215 Summary: 1) Improved the sanitization of query (using regex), by removing python command (since gpt-3.5-turbo sometimes assumes python console as a terminal, and runs python command first which causes error). Also sometimes 1 line python codes contain single backticks. 2) Added 7 new test cases. For more details, view the previous pull request. --------- Co-authored-by: Deepak S V <svdeepak99@users.noreply.github.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
Zander Chase	ef7d015be5	Separate Runner Functions from Client (#5079 ) Extract the methods specific to running an LLM or Chain on a dataset to separate utility functions. This simplifies the client a bit and lets us separate concerns of LCP details from running examples (e.g., for evals)	1 year ago

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512 Commits (1f11f806413837b2f41046c46b8963b8e0ae6b5f)