6164 Commits (700428593a86531ae0c891096c0d02aabcbc72af)

 

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Author	SHA1	Message	Date
Erick Friis	700428593a	fix broken api docs links (#14154)	8 months ago
Bagatur	340b42d8ee	docs[minor]: lcel why page (#14089)	8 months ago
Lance Martin	cbe4753e1a	Update Open CLIP embd (#14155) ... Prior default model required a large amt of RAM and often crashed Jupyter ntbk kernel.	8 months ago
Erick Friis	b01d9d27d9	docs[patch]: docs local build (#14152)	8 months ago
Alex Kira	0caef3cde7	Change RunnableMap to RunnableParallel for consistency (#14142) ... - **Description:** Change instances of RunnableMap to RunnableParallel, as that should be the one used going forward. This makes it consistent across the codebase.	8 months ago
Erick Friis	96f6b90349	templates[patch]: relock templates (#14149)	8 months ago
Martin Jul	e3a7c96a8e	docs[patch]: Fix minor typos (casing) in quickstart (#14138) ... Fix casing of API and LangChain in the description text for the LangServe example server.	8 months ago
Erick Friis	8cf4cb9e48	docs[patch]: Fix templates/index (#14146)	8 months ago
Amyh102	b6d26d3f9f	infra[patch]: Add unit tests for Huggingface dataset loader (#14053) ... - **Description:** Add unit tests for huggingface dataset loader and sample huggingface dataset for future tests. Updates dependencies for `datasets` module. - Adds coverage for [previous pull request](https://github.com/langchain-ai/langchain/pull/13864) - **Tag maintainer:** @hwchase17 --------- Co-authored-by: Amy Han <amyhan@Amys-Air.lan> Co-authored-by: Amy Han <amyhan@Amys-MacBook-Air.local> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Alex Kira	6eb40db353	docs[patch]: Add getting started section to LCEL doc (#14045) ... ### Description: Doc addition for LCEL introduction. Adds a more basic starter guide for using LCEL. --------- Co-authored-by: Alex Kira <akira@Alexs-MBP.local.tld> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Govinda Totla	62a3473ac0	docs[patch]: add text_splitter.py test (#14025) ... Description: Add HTMLHeaderTextSplitter unit test Dependencies: none	8 months ago
Bagatur	7d5341dbd3	docs[patch]: add contribs to readme (#14137)	8 months ago
axiangcoding	1b36ddf16c	docs[patch]: add deprecated note for ErnieChatBot (#14061) ... - **Description:** just a little change of ErnieChatBot class description, sugguesting user to use more suitable class - **Issue:** none, - **Dependencies:** none, - **Tag maintainer:** @baskaryan , - **Twitter handle:** none	8 months ago
Alex Kira	1757258b2a	docs[patch]: Add mermaid JS theme dependency to docusaurus (#14051) ... - **Description:** Add mermaid JS dependency and configs to documentation. Allows inline doc diagrams in markdown. - **Dependencies:** NPM package @docusaurus/theme-mermaid	8 months ago
Devin Dahoon Kim	32da0a4d71	langchain[patch]: use async_embed_with_retry in _aget_len_safe_embeddings (#14110) ... **Description** `embed_with_retry` is for sync operations and not for async operations. Use `async_embed_with_retry` for appropriate async operations. I'm using `OpenAIEmbedding(http_client=httpx.AsyncClient())` with only async operations. However, I got an error when I use `embedding.aembed_documents` because `embed_with_retry` uses sync OpenAI client with async http client.	8 months ago
lijie	371bcb7580	langchain[patch]: set maxsplit when parse python function docstring (#14121) ... Description when the desc of arg in python docstring contains ":", the `_parse_python_function_docstring` will raise **ValueError: too many values to unpack (expected 2)**. A sample desc would be: """ Args: error_arg: this is an arg with an additional ":" symbol """ So, set `maxsplit` parameter to fix it.	8 months ago
Harrison Chase	ae646701c4	Harrison/ibm (#14133) ... Co-authored-by: Mateusz Szewczyk <139469471+MateuszOssGit@users.noreply.github.com>	8 months ago
Eugene Yurtsev	943aa01c14	Improve indexing performance for Postgres (remote database) for refresh for async API (#14132) ... This PR speeds up the indexing api on the async path by batching the uid updates in the sql record manager (which may be remote).	8 months ago
William FH	528fc76d6a	Update Prompt Format Error (#14044) ... The number of times I try to format a string (especially in lcel) is embarrassingly high. Think this may be more actionable than the default error message. Now I get nice helpful errors ``` KeyError: "Input to ChatPromptTemplate is missing variable 'input'. Expected: ['input'] Received: ['dialogue']" ```	8 months ago
William FH	71c2e184b4	[Nits] Evaluation - Some Rendering Improvements (#14097) ... - Improve rendering of aggregate results at the end - flatten reference if present	8 months ago
Bob Lin	f15859bd86	docs[patch]: Update discord.ipynb (#14099) ... ### Description Now if `example` in Message is False, it will not be displayed. Update the output in this document. ```python In [22]: m = HumanMessage(content="Text") In [23]: m Out[23]: HumanMessage(content='Text') In [24]: m = HumanMessage(content="Text", example=True) In [25]: m Out[25]: HumanMessage(content='Text', example=True) ``` ### Twitter handle [lin_bob57617](https://twitter.com/lin_bob57617)	8 months ago
Lance Martin	b07a5a9509	Template for Ollama + Multi-query retriever (#14092)	8 months ago
Bob Lin	75312c3694	docs[patch]: Update facebook.ipynb (#14102) ... ### Description Openai version 1.0.0 and later no longer supports the usage of camel case, So [the APIs](https://github.com/openai/openai-python/blob/main/api.md#finetuning) needs to be modified. ### Twitter handle [lin_bob57617](https://twitter.com/lin_bob57617)	8 months ago
Erick Friis	a3ae8e0a41	templates[patch]: opensearch readme update (#14103)	8 months ago
Ean Yang	ac1c8634a8	docs[patch] Update invalid guides link (#14106)	8 months ago
Mark Scannell	9b0e46dcf0	Improve indexing performance for Postgres (remote database) for refresh (#14126) ... **Description:** By combining the document timestamp refresh within a single call to update(), this enables batching of multiple documents in a single SQL statement. This is important for non-local databases where tens of milliseconds has a huge impact on performance when doing document-by-document SQL statements. **Issue:** #11935 **Dependencies:** None **Tag maintainer:** @eyurtsev	8 months ago
Erick Friis	b161f302ff	docs[patch]: local docs build <5s (#14096)	8 months ago
Hubert Yuan	80ed588733	docs[patch]: Update metaphor_search.ipynb (#14093) ... - **Description:** Touch up of the documentation page for Metaphor Search Tool integration. Removes documentation for old built-in tool wrapper. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
Jacob Lee	3328507f11	langchain[patch], experimental[minor]: Adds OllamaFunctions wrapper (#13330) ... CC @baskaryan @hwchase17 @jmorganca Having a bit of trouble importing `langchain_experimental` from a notebook, will figure it out tomorrow ~Ah and also is blocked by #13226~ --------- Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Bagatur	4063bf144a	langchain[patch]: release 0.0.344 (#14095)	8 months ago
Bagatur	efce352d6b	core[patch]: release 0.0.8 (#14086)	8 months ago
Harutaka Kawamura	0d08a692a3	langchain[minor]: Migrate mlflow and databricks classes to deployments APIs. (#13699) ... ## Description Related to https://github.com/mlflow/mlflow/pull/10420. MLflow AI gateway will be deprecated and replaced by the `mlflow.deployments` module. Happy to split this PR if it's too large. ``` pip install git+https://github.com/langchain-ai/langchain.git@refs/pull/13699/merge#subdirectory=libs/langchain ``` ## Dependencies Install mlflow from https://github.com/mlflow/mlflow/pull/10420: ``` pip install git+https://github.com/mlflow/mlflow.git@refs/pull/10420/merge ``` ## Testing plan The following code works fine on local and databricks: <details><summary>Click</summary> <p> ```python """ Setup ----- mlflow deployments start-server --config-path examples/gateway/openai/config.yaml databricks secrets create-scope <scope> databricks secrets put-secret <scope> openai-api-key --string-value $OPENAI_API_KEY Run --- python /path/to/this/file.py secrets/<scope>/openai-api-key """ from langchain.chat_models import ChatMlflow, ChatDatabricks from langchain.embeddings import MlflowEmbeddings, DatabricksEmbeddings from langchain.llms import Databricks, Mlflow from langchain.schema.messages import HumanMessage from langchain.chains.loading import load_chain from mlflow.deployments import get_deploy_client import uuid import sys import tempfile from langchain.chains import LLMChain from langchain.prompts import PromptTemplate ############################### # MLflow ############################### chat = ChatMlflow( target_uri="http://127.0.0.1:5000", endpoint="chat", params={"temperature": 0.1} ) print(chat([HumanMessage(content="hello")])) embeddings = MlflowEmbeddings(target_uri="http://127.0.0.1:5000", endpoint="embeddings") print(embeddings.embed_query("hello")[:3]) print(embeddings.embed_documents(["hello", "world"])[0][:3]) llm = Mlflow( target_uri="http://127.0.0.1:5000", endpoint="completions", params={"temperature": 0.1}, ) print(llm("I am")) llm_chain = LLMChain( llm=llm, prompt=PromptTemplate( input_variables=["adjective"], template="Tell me a {adjective} joke", ), ) print(llm_chain.run(adjective="funny")) # serialization/deserialization with tempfile.TemporaryDirectory() as tmpdir: print(tmpdir) path = f"{tmpdir}/llm.yaml" llm_chain.save(path) loaded_chain = load_chain(path) print(loaded_chain("funny")) ############################### # Databricks ############################### secret = sys.argv[1] client = get_deploy_client("databricks") # External - chat name = f"chat-{uuid.uuid4()}" client.create_endpoint( name=name, config={ "served_entities": [ { "name": "test", "external_model": { "name": "gpt-4", "provider": "openai", "task": "llm/v1/chat", "openai_config": { "openai_api_key": "{{" + secret + "}}", }, }, } ], }, ) try: chat = ChatDatabricks( target_uri="databricks", endpoint=name, params={"temperature": 0.1} ) print(chat([HumanMessage(content="hello")])) finally: client.delete_endpoint(endpoint=name) # External - embeddings name = f"embeddings-{uuid.uuid4()}" client.create_endpoint( name=name, config={ "served_entities": [ { "name": "test", "external_model": { "name": "text-embedding-ada-002", "provider": "openai", "task": "llm/v1/embeddings", "openai_config": { "openai_api_key": "{{" + secret + "}}", }, }, } ], }, ) try: embeddings = DatabricksEmbeddings(target_uri="databricks", endpoint=name) print(embeddings.embed_query("hello")[:3]) print(embeddings.embed_documents(["hello", "world"])[0][:3]) finally: client.delete_endpoint(endpoint=name) # External - completions name = f"completions-{uuid.uuid4()}" client.create_endpoint( name=name, config={ "served_entities": [ { "name": "test", "external_model": { "name": "gpt-3.5-turbo-instruct", "provider": "openai", "task": "llm/v1/completions", "openai_config": { "openai_api_key": "{{" + secret + "}}", }, }, } ], }, ) try: llm = Databricks( endpoint_name=name, model_kwargs={"temperature": 0.1}, ) print(llm("I am")) finally: client.delete_endpoint(endpoint=name) # Foundation model - chat chat = ChatDatabricks( endpoint="databricks-llama-2-70b-chat", params={"temperature": 0.1} ) print(chat([HumanMessage(content="hello")])) # Foundation model - embeddings embeddings = DatabricksEmbeddings(endpoint="databricks-bge-large-en") print(embeddings.embed_query("hello")[:3]) # Foundation model - completions llm = Databricks( endpoint_name="databricks-mpt-7b-instruct", model_kwargs={"temperature": 0.1} ) print(llm("hello")) llm_chain = LLMChain( llm=llm, prompt=PromptTemplate( input_variables=["adjective"], template="Tell me a {adjective} joke", ), ) print(llm_chain.run(adjective="funny")) # serialization/deserialization with tempfile.TemporaryDirectory() as tmpdir: print(tmpdir) path = f"{tmpdir}/llm.yaml" llm_chain.save(path) loaded_chain = load_chain(path) print(loaded_chain("funny")) ``` Output: ``` content='Hello! How can I assist you today?' [-0.025058426, -0.01938856, -0.027781019] [-0.025058426, -0.01938856, -0.027781019] sorry, but I cannot continue the sentence as it is incomplete. Can you please provide more information or context? Sure, here's a classic one for you: Why don't scientists trust atoms? Because they make up everything! /var/folders/dz/cd_nvlf14g9g__n3ph0d_0pm0000gp/T/tmpx_4no6ad {'adjective': 'funny', 'text': "Sure, here's a classic one for you:\n\nWhy don't scientists trust atoms?\n\nBecause they make up everything!"} content='Hello! How can I assist you today?' [-0.025058426, -0.01938856, -0.027781019] [-0.025058426, -0.01938856, -0.027781019] a 23 year old female and I am currently studying for my master's degree content="\nHello! It's nice to meet you. Is there something I can help you with or would you like to chat for a bit?" [0.051055908203125, 0.007221221923828125, 0.003879547119140625] [0.051055908203125, 0.007221221923828125, 0.003879547119140625] hello back Well, I don't really know many jokes, but I do know this funny story... /var/folders/dz/cd_nvlf14g9g__n3ph0d_0pm0000gp/T/tmp7_ds72ex {'adjective': 'funny', 'text': " Well, I don't really know many jokes, but I do know this funny story..."} ``` </p> </details> The existing workflow doesn't break: <details><summary>click</summary> <p> ```python import uuid import mlflow from mlflow.models import ModelSignature from mlflow.types.schema import ColSpec, Schema class MyModel(mlflow.pyfunc.PythonModel): def predict(self, context, model_input): return str(uuid.uuid4()) with mlflow.start_run(): mlflow.pyfunc.log_model( "model", python_model=MyModel(), pip_requirements=["mlflow==2.8.1", "cloudpickle<3"], signature=ModelSignature( inputs=Schema( [ ColSpec("string", "prompt"), ColSpec("string", "stop"), ] ), outputs=Schema( [ ColSpec(name=None, type="string"), ] ), ), registered_model_name=f"lang-{uuid.uuid4()}", ) # Manually create a serving endpoint with the registered model and run from langchain.llms import Databricks llm = Databricks(endpoint_name="<name>") llm("hello") # 9d0b2491-3d13-487c-bc02-1287f06ecae7 ``` </p> </details> ## Follow-up tasks (This PR is too large. I'll file a separate one for follow-up tasks.) - Update `docs/docs/integrations/providers/mlflow_ai_gateway.mdx` and `docs/docs/integrations/providers/databricks.md`. --------- Signed-off-by: harupy <17039389+harupy@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Tyler Hutcherson	dc31714ec5	templates[patch]: Rag redis template dependency update (#13614) ... - **Description:** Update RAG Redis template readme and dependencies.	8 months ago
Jeremy Naccache	a14cf87576	core[patch]: Add **kwargs to Langchain's dumps() to allow passing of json.dumps() … (#10628) ... …parameters. In Langchain's `dumps()` function, I've added a `**kwargs` parameter. This allows users to pass additional parameters to the underlying `json.dumps()` function, providing greater flexibility and control over JSON serialization. Many parameters available in `json.dumps()` can be useful or even necessary in specific situations. For example, when using an Agent with return_intermediate_steps set to true, the output is a list of AgentAction objects. These objects can't be serialized without using Langchain's `dumps()` function. The issue arises when using the Agent with a language other than English, which may contain non-ASCII characters like 'é'. The default behavior of `json.dumps()` sets ensure_ascii to true, converting `{"name": "José"}` into `{"name": "Jos\u00e9"}`. This can make the output hard to read, especially in the case of intermediate steps in agent logs. By allowing users to pass additional parameters to `json.dumps()` via Langchain's dumps(), we can solve this problem. For instance, users can set `ensure_ascii=False` to maintain the original characters. This update also enables users to pass other useful `json.dumps()` parameters like `sort_keys`, providing even more flexibility. The implementation takes into account edge cases where a user might pass a "default" parameter, which is already defined by `dumps()`, or an "indent" parameter, which is also predefined if `pretty=True` is set. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
Erick Friis	8078caf764	templates[patch]: rag-google-cloud-sdp readme (#14043)	8 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	8 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>	8 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. -->	8 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>	8 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>	8 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>	8 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>	8 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>	8 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>	8 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>	8 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>	8 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	8 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>	8 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} ```	8 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>	8 months ago