langchain

Commit Graph

Author	SHA1	Message	Date
Lance Martin	6325a3517c	Make recursive loader yield while crawling (#7568 ) Support actual lazy_load since it can take a while to crawl larger directories.	1 year ago
Kenton Parton	9124221d31	Fixed handling of absolute URLs in `RecursiveUrlLoader` (#7677 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: - 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! 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 addresses a bug in the RecursiveUrlLoader class where absolute URLs were being treated as relative URLs, causing malformed URLs to be produced. The fix involves using the urljoin function from the urllib.parse module to correctly handle both absolute and relative URLs. @rlancemartin @eyurtsev --------- Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
William FH	aab2a7cd4b	Normalize Trajectory Eval Score (#7668 )	1 year ago
Tamas Molnar	24c1654208	Fix SQLAlchemy LLM cache clear (#7653 ) Fixes #7652 Description: This is a fix for clearing the cache for SQL Alchemy based LLM caches. The langchain.llm_cache.clear() did not take effect for SQLite cache. Reason: it didn't commit the deletion database change. See SQLAlchemy documentation for proper usage: https://docs.sqlalchemy.org/en/20/orm/session_basics.html#opening-and-closing-a-session https://docs.sqlalchemy.org/en/20/orm/session_basics.html#deleting @hwchase17 @baskaryan --------- Co-authored-by: Tamas Molnar <tamas.molnar@nagarro.com>	1 year ago
William FH	a673a51efa	[Breaking] Update Evaluation Functionality (#7388 ) - Migrate from deprecated langchainplus_sdk to `langsmith` package - Update the `run_on_dataset()` API to use an eval config - Update a number of evaluators, as well as the loading logic - Update docstrings / reference docs - Update tracer to share single HTTP session	1 year ago
Ma Donghao	6f62e5461c	Update the parser regex of map_rerank (#6419 ) Sometimes the score responded by chatgpt would be like 'Respone example\nScore: 90 (fully answers the question, but could provide more detail on the specific error message)' For the score contains not only numbers, it raise a ValueError like Update the RegexParser from `.` to `\d` would help us to ignore the text after number. Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Nir Gazit	f307ca094b	fix(memory): allow internal chains to use memory (#6769 ) Fixed #6768. This is a workaround only. I think a better longer-term solution is for chains to declare how many input variables they actually need (as opposed to ones that are in the prompt, where some may be satisfied by the memory). Then, a wrapping chain can check the input match against the actual input variables. @hwchase17	1 year ago
Jason Fan	8effd90be0	Add new types of document transformers (#7379 ) - Description: Add two new document transformers that translates documents into different languages and converts documents into q&a format to improve vector search results. Uses OpenAI function calling via the [doctran](https://github.com/psychic-api/doctran/tree/main) library. - Issue: N/A - Dependencies: `doctran = "^0.0.5"` - Tag maintainer: @rlancemartin @eyurtsev @hwchase17 - Twitter handle: @psychicapi or @jfan001 Notes - Adheres to the `DocumentTransformer` abstraction set by @dev2049 in #3182 - refactored `EmbeddingsRedundantFilter` to put it in a file under a new `document_transformers` module - Added basic docs for `DocumentInterrogator`, `DocumentTransformer` as well as the existing `EmbeddingsRedundantFilter` --------- Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Yaroslav Halchenko	0d92a7f357	codespell: workflow, config + some (quite a few) typos fixed (#6785 ) Probably the most boring PR to review ;) Individual commits might be easier to digest --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	1 year ago
Sam	931e68692e	Adds a chain around sympy for symbolic math (#6834 ) - Description: Adds a new chain that acts as a wrapper around Sympy to give LLMs the ability to do some symbolic math. - Dependencies: SymPy --------- Co-authored-by: sreiswig <sreiswig@github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Alec Flett	6cdd4b5edc	only add handlers if they are new (#7504 ) When using callbacks, there are times when callbacks can be added redundantly: for instance sometimes you might need to create an llm with specific callbacks, but then also create and agent that uses a chain that has those callbacks already set. This means that "callbacks" might get passed down again to the llm at predict() time, resulting in duplicate calls to the `on_llm_start` callback. For the sake of simplicity, I made it so that langchain never adds an exact handler/callbacks object in `add_handler`, thus avoiding the duplicate handler issue. Tagging @hwchase17 for callback review --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Junlin Zhou	5f17c57174	Update chat agents' output parser to extract action by regex (#7511 ) Currently `ChatOutputParser` extracts actions by splitting the text on "```", and then load the second part as a json string. But sometimes the LLM will wrap the action in markdown code block like: ````markdown ```json { "action": "foo", "action_input": "bar" } ``` ```` Splitting text on "```" will cause `OutputParserException` in such case. This PR changes the behaviour to extract the `$JSON_BLOB` by regex, so that it can handle both ` ``` ``` ` and ` ```json ``` ` @hinthornw --------- Co-authored-by: Junlin Zhou <jlzhou@zjuici.com>	1 year ago
Bagatur	ebcb144342	unit test sqlalachemy (#7582 )	1 year ago
Daniel Chalef	c7f7788d0b	Add ZepMemory; improve ZepChatMessageHistory handling of metadata; Fix bugs (#7444 ) Hey @hwchase17 - This PR adds a `ZepMemory` class, improves handling of Zep's message metadata, and makes it easier for folks building custom chains to persist metadata alongside their chat history. We've had plenty confused users unfamiliar with ChatMessageHistory classes and how to wrap the `ZepChatMessageHistory` in a `ConversationBufferMemory`. So we've created the `ZepMemory` class as a light wrapper for `ZepChatMessageHistory`. Details: - add ZepMemory, modify notebook to demo use of ZepMemory - Modify summary to be SystemMessage - add metadata argument to add_message; add Zep metadata to Message.additional_kwargs - support passing in metadata	1 year ago
William FH	612a74eb7e	Make Ref Example Threadsafe (#7383 ) Have noticed transient ref example misalignment. I believe this is caused by the logic of assigning an example within the thread executor rather than before.	1 year ago
William FH	4789c99bc2	Add String Distance and Embedding Evaluators (#7123 ) Add a string evaluator and pairwise string evaluator implementation for: - Embedding distance - String distance Update docs	1 year ago
William FH	c5edbea34a	Load Run Evaluator (#7101 ) Current problems: 1. Evaluating LLMs or Chat models isn't smooth. Even specifying 'generations' as the output inserts a redundant list into the eval template 2. Configuring input / prediction / reference keys in the `get_qa_evaluator` function is confusing. Unless you are using a chain with the default keys, you have to specify all the variables and need to reason about whether the key corresponds to the traced run's inputs, outputs or the examples inputs or outputs. Proposal: - Configure the run evaluator according to a model. Use the model type and input/output keys to assert compatibility where possible. Only need to specify a reference_key for certain evaluators (which is less confusing than specifying input keys) When does this work: - If you have your langchain model available (assumed always for run_on_dataset flow) - If you are evaluating an LLM, Chat model, or chain - If the LLM or chat models are traced by langchain (wouldn't work if you add an incompatible schema via the REST API) When would this fail: - Currently if you directly create an example from an LLM run, the outputs are generations with all the extra metadata present. A simple `example_key` and dumping all to the template could make the evaluations unreliable - Doesn't help if you're not using the low level API - If you want to instantiate the evaluator without instantiating your chain or LLM (maybe common for monitoring, for instance) -> could also load from run or run type though What's ugly: - Personally think it's better to load evaluators one by one since passing a config down is pretty confusing. - Lots of testing needs to be added - Inconsistent in that it makes a separate run and example input mapper instead of the original `RunEvaluatorInputMapper`, which maps a run and example to a single input. Example usage running the for an LLM, Chat Model, and Agent. ``` # Test running for the string evaluators evaluator_names = ["qa", "criteria"] model = ChatOpenAI() configured_evaluators = load_run_evaluators_for_model(evaluator_names, model=model, reference_key="answer") run_on_dataset(ds_name, model, run_evaluators=configured_evaluators) ``` <details> <summary>Full code with dataset upload</summary> ``` ## Create dataset from langchain.evaluation.run_evaluators.loading import load_run_evaluators_for_model from langchain.evaluation import load_dataset import pandas as pd lcds = load_dataset("llm-math") df = pd.DataFrame(lcds) from uuid import uuid4 from langsmith import Client client = Client() ds_name = "llm-math - " + str(uuid4())[0:8] ds = client.upload_dataframe(df, name=ds_name, input_keys=["question"], output_keys=["answer"]) ## Define the models we'll test over from langchain.llms import OpenAI from langchain.chat_models import ChatOpenAI from langchain.agents import initialize_agent, AgentType from langchain.tools import tool llm = OpenAI(temperature=0) chat_model = ChatOpenAI(temperature=0) @tool def sum(a: float, b: float) -> float: """Add two numbers""" return a + b def construct_agent(): return initialize_agent( llm=chat_model, tools=[sum], agent=AgentType.OPENAI_MULTI_FUNCTIONS, ) agent = construct_agent() # Test running for the string evaluators evaluator_names = ["qa", "criteria"] models = [llm, chat_model, agent] run_evaluators = [] for model in models: run_evaluators.append(load_run_evaluators_for_model(evaluator_names, model=model, reference_key="answer")) # Run on LLM, Chat Model, and Agent from langchain.client.runner_utils import run_on_dataset to_test = [llm, chat_model, construct_agent] for model, configured_evaluators in zip(to_test, run_evaluators): run_on_dataset(ds_name, model, run_evaluators=configured_evaluators, verbose=True) ``` </details> --------- Co-authored-by: Nuno Campos <nuno@boringbits.io>	1 year ago
Bagatur	4d427b2397	Base language model docstrings (#7104 )	1 year ago
William FH	4e180dc54e	Unset Cache in Tests (#7362 ) This is impacting other unit tests that use callbacks since the cache is still set (just empty)	1 year ago
Bagatur	927c8eb91a	Refac package version check (#7312 )	1 year ago
Jason B. Koh	d642609a23	Fix: Recognize `List` at `from_function` (#7178 ) - Description: pydantic's `ModelField.type_` only exposes the native data type but not complex type hints like `List`. Thus, generating a Tool with `from_function` through function signature produces incorrect argument schemas (e.g., `str` instead of `List[str]`) - Issue: N/A - Dependencies: N/A - Tag maintainer: @hinthornw - Twitter handle: `mapped` All the unittest (with an additional one in this PR) passed, though I didn't try integration tests...	1 year ago
William FH	e736d60516	Load Evaluator (#6942 ) Create a `load_evaluators()` function so you don't have to import all the individual evaluator classes	1 year ago
William FH	576880abc5	Re-use Trajectory Evaluator (#7248 ) Use the trajectory eval chain in the run evaluation implementation and update the prepare inputs method to apply to both asynca nd sync	1 year ago
William FH	ec66d5188c	Add Better Errors for Comparison Chain (#7033 ) + change to ABC - this lets us add things like the evaluation name for loading	1 year ago
Sasmitha Manathunga	0c7a5cb206	Fix inconsistent behavior of `CharacterTextSplitter` when changing `keep_separator` (#7263 ) - Description: - When `keep_separator` is `True` the `_split_text_with_regex()` method in `text_splitter` uses regex to split, but when `keep_separator` is `False` it uses `str.split()`. This causes problems when the separator is a special regex character like `.` or `*`. This PR fixes that by using `re.split()` in both cases. - Issue: #7262 - Tag maintainer: @baskaryan	1 year ago
Mike Nitsenko	d669b9ece9	Document loader for Cube Semantic Layer (#6882 ) ### Description This pull request introduces the "Cube Semantic Layer" document loader, which demonstrates the retrieval of Cube's data model metadata in a format suitable for passing to LLMs as embeddings. This enhancement aims to provide contextual information and improve the understanding of data. Twitter handle: @the_cube_dev --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Mike Salvatore	265f05b10e	Enable InMemoryDocstore to be constructed without providing a dict (#6976 ) - Description: Allow `InMemoryDocstore` to be created without passing a dict to the constructor; the constructor can create a dict at runtime if one isn't provided. - Tag maintainer: @dev2049	1 year ago
Santiago Delgado	fa55c5a16b	Fixed Office365 tool __init__.py files, tests, and get_tools() function (#7046 ) ## Description Added Office365 tool modules to `__init__.py` files ## Issue As described in Issue https://github.com/hwchase17/langchain/issues/6936, the Office365 toolkit can't be loaded easily because it is not included in the `__init__.py` files. ## Reviewer @dev2049	1 year ago
Mohammad Mohtashim	7d92e9407b	Jinja2 validation changed to issue warnings rather than issuing exceptions. (#7161 ) - Description: If their are missing or extra variables when validating Jinja 2 template then a warning is issued rather than raising an exception. This allows for better flexibility for the developer as described in #7044. Also changed the relevant test so pytest is checking for raised warnings rather than exceptions. - Issue: #7044 - Tag maintainer: @hwchase17, @baskaryan --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Nuno Campos	81e5b1ad36	Add serialized object to retriever start callback (#7074 ) <!-- 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! 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: @dev2049 - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @dev2049 - Memory: @hwchase17 - Agents / Tools / Toolkits: @vowelparrot - 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 -->	1 year ago
Harrison Chase	0ad984fa27	Docs combine document chain (#6994 ) Co-authored-by: Dev 2049 <dev.dev2049@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Nuno Campos	c8f8b1b327	Add events to tracer runs (#7090 ) <!-- 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! 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: @dev2049 - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @dev2049 - Memory: @hwchase17 - Agents / Tools / Toolkits: @vowelparrot - 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 -->	1 year ago
Sergey Kozlov	6d15854cda	Add JSON Lines support to JSONLoader (#6913 ) Description: The JSON Lines format is used by some services such as OpenAI and HuggingFace. It's also a convenient alternative to CSV. This PR adds JSON Lines support to `JSONLoader` and also updates related tests. Tag maintainer: @rlancemartin, @eyurtsev. PS I was not able to build docs locally so didn't update related section.	1 year ago
Bagatur	7acd524210	Rm retriever kwargs (#7013 ) Doesn't actually limit the Retriever interface but hopefully in practice it does	1 year ago
Harrison Chase	3bfe7cf467	Harrison/split schema dir (#7025 ) should be no functional changes also keep __init__ exposing a lot for backwards compat --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Zander Chase	b0859c9b18	Add New Retriever Interface with Callbacks (#5962 ) Handle the new retriever events in a way that (I think) is entirely backwards compatible? Needs more testing for some of the chain changes and all. This creates an entire new run type, however. We could also just treat this as an event within a chain run presumably (same with memory) Adds a subclass initializer that upgrades old retriever implementations to the new schema, along with tests to ensure they work. First commit doesn't upgrade any of our retriever implementations (to show that we can pass the tests along with additional ones testing the upgrade logic). Second commit upgrades the known universe of retrievers in langchain. - [X] Add callback handling methods for retriever start/end/error (open to renaming to 'retrieval' if you want that) - [X] Update BaseRetriever schema to support callbacks - [X] Tests for upgrading old "v1" retrievers for backwards compatibility - [X] Update existing retriever implementations to implement the new interface - [X] Update calls within chains to .{a]get_relevant_documents to pass the child callback manager - [X] Update the notebooks/docs to reflect the new interface - [X] Test notebooks thoroughly Not handled: - Memory pass throughs: retrieval memory doesn't have a parent callback manager passed through the method --------- Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>	1 year ago
Bagatur	e3b7effc8f	Beef up import test (#6979 )	1 year ago
William FH	8c73037dff	Simplify eval arg names (#6944 ) It'll be easier to switch between these if the names of predictions are consistent	1 year ago
Tahjyei Thompson	7d8830f707	Add `OpenAIMultiFunctionsAgent` to import list in agents directory (#6824 ) - Added OpenAIMultiFunctionsAgent to the import list of the Agents directory --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Zander Chase	429f4dbe4d	Add Input Mapper in run_on_dataset (#6894 ) If you create a dataset from runs and run the same chain or llm on it later, it usually works great. If you have an agent dataset and want to run a different agent on it, or have more complex schema, it's hard for us to automatically map these values every time. This PR lets you pass in an input_mapper function that converts the example inputs to whatever format your model expects	1 year ago
corranmac	20c6ade2fc	Grobid parser for Scientific Articles from PDF (#6729 ) ### Scientific Article PDF Parsing via Grobid `Description:` This change adds the GrobidParser class, which uses the Grobid library to parse scientific articles into a universal XML format containing the article title, references, sections, section text etc. The GrobidParser uses a local Grobid server to return PDFs document as XML and parses the XML to optionally produce documents of individual sentences or of whole paragraphs. Metadata includes the text, paragraph number, pdf relative bboxes, pages (text may overlap over two pages), section title (Introduction, Methodology etc), section_number (i.e 1.1, 2.3), the title of the paper and finally the file path. Grobid parsing is useful beyond standard pdf parsing as it accurately outputs sections and paragraphs within them. This allows for post-fitering of results for specific sections i.e. limiting results to the methodology section or results. While sections are split via headings, ideally they could be classified specifically into introduction, methodology, results, discussion, conclusion. I'm currently experimenting with chatgpt-3.5 for this function, which could later be implemented as a textsplitter. `Dependencies:` For use, the grobid repo must be cloned and Java must be installed, for colab this is: ``` !apt-get install -y openjdk-11-jdk -q !update-alternatives --set java /usr/lib/jvm/java-11-openjdk-amd64/bin/java !git clone https://github.com/kermitt2/grobid.git os.environ["JAVA_HOME"] = "/usr/lib/jvm/java-11-openjdk-amd64" os.chdir('grobid') !./gradlew clean install ``` Once installed the server is ran on localhost:8070 via ``` get_ipython().system_raw('nohup ./gradlew run > grobid.log 2>&1 &') ``` @rlancemartin, @eyurtsev Twitter Handle: @Corranmac Grobid Demo Notebook is [here](https://colab.research.google.com/drive/1X-St_mQRmmm8YWtct_tcJNtoktbdGBmd?usp=sharing). --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Ayan Bandyopadhyay	f92ccf70fd	Update to the latest Psychic python library version (#6804 ) Update the Psychic document loader to use the latest `psychicapi` python library version: `0.8.0`	1 year ago
Matthew Plachter	d6664af0ee	add async to zapier nla tools (#6791 ) Replace this comment with: - Description: Add Async functionality to Zapier NLA Tools - Issue: n/a - Dependencies: n/a - Tag maintainer: Maintainer responsibilities: - Agents / Tools / Toolkits: @vowelparrot - 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	1 year ago
Robert Lewis	74848aafea	Zapier - Add better error messaging for 401 responses (#6840 ) Description: When a 401 response is given back by Zapier, hint to the end user why that may have occurred - If an API Key was initialized with the wrapper, ask them to check their API Key value - if an access token was initialized with the wrapper, ask them to check their access token or verify that it doesn't need to be refreshed. Tag maintainer: @dev2049	1 year ago
Cristóbal Carnero Liñán	e494b0a09f	feat (documents): add a source code loader based on AST manipulation (#6486 ) #### Summary A new approach to loading source code is implemented: Each top-level function and class in the code is loaded into separate documents. Then, an additional document is created with the top-level code, but without the already loaded functions and classes. This could improve the accuracy of QA chains over source code. For instance, having this script: ``` class MyClass: def __init__(self, name): self.name = name def greet(self): print(f"Hello, {self.name}!") def main(): name = input("Enter your name: ") obj = MyClass(name) obj.greet() if __name__ == '__main__': main() ``` The loader will create three documents with this content: First document: ``` class MyClass: def __init__(self, name): self.name = name def greet(self): print(f"Hello, {self.name}!") ``` Second document: ``` def main(): name = input("Enter your name: ") obj = MyClass(name) obj.greet() ``` Third document: ``` # Code for: class MyClass: # Code for: def main(): if __name__ == '__main__': main() ``` A threshold parameter is added to control whether small scripts are split in this way or not. At this moment, only Python and JavaScript are supported. The appropriate parser is determined by examining the file extension. #### Tests This PR adds: - Unit tests - Integration tests #### Dependencies Only one dependency was added as optional (needed for the JavaScript parser). #### Documentation A notebook is added showing how the loader can be used. #### Who can review? @eyurtsev @hwchase17 --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Robert Lewis	da462d9dd4	Zapier update oauth support (#6780 ) Description: Update documentation to 1) point to updated documentation links at Zapier.com (we've revamped our help docs and paths), and 2) To provide clarity how to use the wrapper with an access token for OAuth support Demo: Initializing the Zapier Wrapper with an OAuth Access Token `ZapierNLAWrapper(zapier_nla_oauth_access_token="<redacted>")` Using LangChain to resolve the current weather in Vancouver BC leveraging Zapier NLA to lookup weather by coords. ``` > Entering new chain... I need to use a tool to get the current weather. Action: The Weather: Get Current Weather Action Input: Get the current weather for Vancouver BC Observation: {"coord__lon": -123.1207, "coord__lat": 49.2827, "weather": [{"id": 802, "main": "Clouds", "description": "scattered clouds", "icon": "03d", "icon_url": "http://openweathermap.org/img/wn/03d@2x.png"}], "weather[]icon_url": ["http://openweathermap.org/img/wn/03d@2x.png"], "weather[]icon": ["03d"], "weather[]id": [802], "weather[]description": ["scattered clouds"], "weather[]main": ["Clouds"], "base": "stations", "main__temp": 71.69, "main__feels_like": 71.56, "main__temp_min": 67.64, "main__temp_max": 76.39, "main__pressure": 1015, "main__humidity": 64, "visibility": 10000, "wind__speed": 3, "wind__deg": 155, "wind__gust": 11.01, "clouds__all": 41, "dt": 1687806607, "sys__type": 2, "sys__id": 2011597, "sys__country": "CA", "sys__sunrise": 1687781297, "sys__sunset": 1687839730, "timezone": -25200, "id": 6173331, "name": "Vancouver", "cod": 200, "summary": "scattered clouds", "_zap_search_was_found_status": true} Thought: I now know the current weather in Vancouver BC. Final Answer: The current weather in Vancouver BC is scattered clouds with a temperature of 71.69 and wind speed of 3 ```	1 year ago
Zander Chase	ad028bbb80	Permit Constitutional Principles (#6807 ) In the criteria evaluator.	1 year ago
Zander Chase	6ca383ecf6	Update to RunOnDataset helper functions to accept evaluator callbacks (#6629 ) Also improve docstrings and update the tracing datasets notebook to focus on "debug, evaluate, monitor"	1 year ago
Zander Chase	d7dbf4aefe	Clean up agent trajectory interface (#6799 ) - Enable reference - Enable not specifying tools at the start - Add methods with keywords	1 year ago
Zander Chase	cc60fed3be	Add a Pairwise Comparison Chain (#6703 ) Notebook shows preference scoring between two chains and reports wilson score interval + p value I think I'll add the option to insert ground truth labels but doesn't have to be in this PR	1 year ago

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384 Commits (b8b8a138df0e70a2073682d9082f7cc6ae2acb41)