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closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,361 | Validation Error importing OpenAPI planner when OpenAI credentials not in environment | ### System Info
Name: langchain, Version: 0.0.180
Name: openai, Version: 0.27.7
macOS Mojave 10.14.6
### Who can help?
@vowelparrot
### Information
- [X] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
... | https://github.com/langchain-ai/langchain/issues/5361 | https://github.com/langchain-ai/langchain/pull/5380 | 6df90ad9fd1ee6d64e112d8d58f9524ca11b0757 | 14099f1b93401a68f531fc1a55c50c5872e720fa | 2023-05-28T08:18:12Z | python | 2023-05-29T13:22:35Z | langchain/agents/agent_toolkits/openapi/planner.py | """Agent that interacts with OpenAPI APIs via a hierarchical planning approach."""
import json
import re
from functools import partial
from typing import Any, Callable, Dict, List, Optional
import yaml
from pydantic import Field
from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_toolkits.ope... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,071 | Issue: LLamacpp wrapper slows down the model | ### Issue you'd like to raise.
Looks like the inference time of the LLamacpp model is a lot slower when using LlamaCpp wrapper (compared to the llama-cpp original wrapper).
Here are the results for the same prompt on the RTX 4090 GPU.
When using llamacpp-python Llama wrapper directly:
![llamacpp_runtime](ht... | https://github.com/langchain-ai/langchain/issues/5071 | https://github.com/langchain-ai/langchain/pull/5344 | 44b48d95183067bc71942512a97b846f5b1fb4c3 | f6615cac41453a9bb3a061a3ffb29327f5e04fb2 | 2023-05-21T21:49:24Z | python | 2023-05-29T13:43:26Z | docs/modules/models/llms/integrations/llamacpp.ipynb | {
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Llama-cpp\n",
"\n",
"[llama-cpp](https://github.com/abetlen/llama-cpp-python) is a Python binding for [llama.cpp](https://github.com/ggerganov/llama.cpp). \n",
"It supports [several LLMs](https://github.com/ggerganov/llam... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,224 | PALChain loading fails | ### System Info
langchain==0.0.176
### Who can help?
@hwchase17
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document L... | https://github.com/langchain-ai/langchain/issues/5224 | https://github.com/langchain-ai/langchain/pull/5343 | f6615cac41453a9bb3a061a3ffb29327f5e04fb2 | 642ae83d86b28b37605c9a20ca25c667ed461595 | 2023-05-25T00:58:09Z | python | 2023-05-29T13:44:47Z | langchain/chains/loading.py | """Functionality for loading chains."""
import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain.chains.api.base import APIChain
from langchain.chains.base import Chain
from langchain.chains.combine_documents.map_reduce import MapReduceDocumentsChain
from langchain.chains.combine_... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,316 | VertexAIEmbeddings error when passing a list with of length greater than 5. | ### System Info
google-cloud-aiplatform==1.25.0
langchain==0.0.181
python 3.10
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts / Prompt ... | https://github.com/langchain-ai/langchain/issues/5316 | https://github.com/langchain-ai/langchain/pull/5325 | 3e164684234d3a51032b737dce2c25ba6cd3ec2d | c09f8e4ddc3be791bd0e8c8385ed1871bdd5d681 | 2023-05-26T20:31:56Z | python | 2023-05-29T13:57:41Z | langchain/embeddings/vertexai.py | """Wrapper around Google VertexAI embedding models."""
from typing import Dict, List
from pydantic import root_validator
from langchain.embeddings.base import Embeddings
from langchain.llms.vertexai import _VertexAICommon
from langchain.utilities.vertexai import raise_vertex_import_error
class VertexAIEmbeddings(_V... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,316 | VertexAIEmbeddings error when passing a list with of length greater than 5. | ### System Info
google-cloud-aiplatform==1.25.0
langchain==0.0.181
python 3.10
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts / Prompt ... | https://github.com/langchain-ai/langchain/issues/5316 | https://github.com/langchain-ai/langchain/pull/5325 | 3e164684234d3a51032b737dce2c25ba6cd3ec2d | c09f8e4ddc3be791bd0e8c8385ed1871bdd5d681 | 2023-05-26T20:31:56Z | python | 2023-05-29T13:57:41Z | tests/integration_tests/embeddings/test_vertexai.py | """Test Vertex AI API wrapper.
In order to run this test, you need to install VertexAI SDK
pip install google-cloud-aiplatform>=1.25.0
Your end-user credentials would be used to make the calls (make sure you've run
`gcloud auth login` first).
"""
from langchain.embeddings import VertexAIEmbeddings
def test_embeddi... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,257 | Github integration | ### Feature request
Would be amazing to scan and get all the contents from the Github API, such as PRs, Issues and Discussions.
### Motivation
this would allows to ask questions on the history of the project, issues that other users might have found, and much more!
### Your contribution
Not really a python develop... | https://github.com/langchain-ai/langchain/issues/5257 | https://github.com/langchain-ai/langchain/pull/5408 | 0b3e0dd1d2fb81eeca76b960bb2376bd666608cd | 8259f9b7facae95236dd5156e2a14d87a0e1f90c | 2023-05-25T16:27:21Z | python | 2023-05-30T03:11:21Z | docs/modules/indexes/document_loaders/examples/github.ipynb | |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,257 | Github integration | ### Feature request
Would be amazing to scan and get all the contents from the Github API, such as PRs, Issues and Discussions.
### Motivation
this would allows to ask questions on the history of the project, issues that other users might have found, and much more!
### Your contribution
Not really a python develop... | https://github.com/langchain-ai/langchain/issues/5257 | https://github.com/langchain-ai/langchain/pull/5408 | 0b3e0dd1d2fb81eeca76b960bb2376bd666608cd | 8259f9b7facae95236dd5156e2a14d87a0e1f90c | 2023-05-25T16:27:21Z | python | 2023-05-30T03:11:21Z | langchain/document_loaders/__init__.py | """All different types of document loaders."""
from langchain.document_loaders.airbyte_json import AirbyteJSONLoader
from langchain.document_loaders.apify_dataset import ApifyDatasetLoader
from langchain.document_loaders.arxiv import ArxivLoader
from langchain.document_loaders.azlyrics import AZLyricsLoader
from langc... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,257 | Github integration | ### Feature request
Would be amazing to scan and get all the contents from the Github API, such as PRs, Issues and Discussions.
### Motivation
this would allows to ask questions on the history of the project, issues that other users might have found, and much more!
### Your contribution
Not really a python develop... | https://github.com/langchain-ai/langchain/issues/5257 | https://github.com/langchain-ai/langchain/pull/5408 | 0b3e0dd1d2fb81eeca76b960bb2376bd666608cd | 8259f9b7facae95236dd5156e2a14d87a0e1f90c | 2023-05-25T16:27:21Z | python | 2023-05-30T03:11:21Z | langchain/document_loaders/github.py | |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,257 | Github integration | ### Feature request
Would be amazing to scan and get all the contents from the Github API, such as PRs, Issues and Discussions.
### Motivation
this would allows to ask questions on the history of the project, issues that other users might have found, and much more!
### Your contribution
Not really a python develop... | https://github.com/langchain-ai/langchain/issues/5257 | https://github.com/langchain-ai/langchain/pull/5408 | 0b3e0dd1d2fb81eeca76b960bb2376bd666608cd | 8259f9b7facae95236dd5156e2a14d87a0e1f90c | 2023-05-25T16:27:21Z | python | 2023-05-30T03:11:21Z | tests/integration_tests/document_loaders/test_github.py | |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,257 | Github integration | ### Feature request
Would be amazing to scan and get all the contents from the Github API, such as PRs, Issues and Discussions.
### Motivation
this would allows to ask questions on the history of the project, issues that other users might have found, and much more!
### Your contribution
Not really a python develop... | https://github.com/langchain-ai/langchain/issues/5257 | https://github.com/langchain-ai/langchain/pull/5408 | 0b3e0dd1d2fb81eeca76b960bb2376bd666608cd | 8259f9b7facae95236dd5156e2a14d87a0e1f90c | 2023-05-25T16:27:21Z | python | 2023-05-30T03:11:21Z | tests/unit_tests/document_loaders/test_github.py | |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,337 | Add MongoDBAtlasVectorSearch vectorstore | ### Feature request
MongoDB Atlas is a fully managed DBaaS, powered by the MongoDB database. It also enables Lucene (collocated with the mongod process) for full-text search - this is know as Atlas Search. The PR has to allow Langchain users from using the functionality related to the MongoDB Atlas Vector Search fea... | https://github.com/langchain-ai/langchain/issues/5337 | https://github.com/langchain-ai/langchain/pull/5338 | c4b502a47051f50c6e24b824d3db622748458d13 | a61b7f7e7c76ae8667e40cd29cfe30a3868d7dd8 | 2023-05-27T11:41:39Z | python | 2023-05-30T14:59:01Z | docs/modules/indexes/vectorstores/examples/mongodb_atlas_vector_search.ipynb | |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,337 | Add MongoDBAtlasVectorSearch vectorstore | ### Feature request
MongoDB Atlas is a fully managed DBaaS, powered by the MongoDB database. It also enables Lucene (collocated with the mongod process) for full-text search - this is know as Atlas Search. The PR has to allow Langchain users from using the functionality related to the MongoDB Atlas Vector Search fea... | https://github.com/langchain-ai/langchain/issues/5337 | https://github.com/langchain-ai/langchain/pull/5338 | c4b502a47051f50c6e24b824d3db622748458d13 | a61b7f7e7c76ae8667e40cd29cfe30a3868d7dd8 | 2023-05-27T11:41:39Z | python | 2023-05-30T14:59:01Z | langchain/vectorstores/__init__.py | """Wrappers on top of vector stores."""
from langchain.vectorstores.analyticdb import AnalyticDB
from langchain.vectorstores.annoy import Annoy
from langchain.vectorstores.atlas import AtlasDB
from langchain.vectorstores.base import VectorStore
from langchain.vectorstores.chroma import Chroma
from langchain.vectorstore... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,337 | Add MongoDBAtlasVectorSearch vectorstore | ### Feature request
MongoDB Atlas is a fully managed DBaaS, powered by the MongoDB database. It also enables Lucene (collocated with the mongod process) for full-text search - this is know as Atlas Search. The PR has to allow Langchain users from using the functionality related to the MongoDB Atlas Vector Search fea... | https://github.com/langchain-ai/langchain/issues/5337 | https://github.com/langchain-ai/langchain/pull/5338 | c4b502a47051f50c6e24b824d3db622748458d13 | a61b7f7e7c76ae8667e40cd29cfe30a3868d7dd8 | 2023-05-27T11:41:39Z | python | 2023-05-30T14:59:01Z | langchain/vectorstores/mongodb_atlas.py | |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,337 | Add MongoDBAtlasVectorSearch vectorstore | ### Feature request
MongoDB Atlas is a fully managed DBaaS, powered by the MongoDB database. It also enables Lucene (collocated with the mongod process) for full-text search - this is know as Atlas Search. The PR has to allow Langchain users from using the functionality related to the MongoDB Atlas Vector Search fea... | https://github.com/langchain-ai/langchain/issues/5337 | https://github.com/langchain-ai/langchain/pull/5338 | c4b502a47051f50c6e24b824d3db622748458d13 | a61b7f7e7c76ae8667e40cd29cfe30a3868d7dd8 | 2023-05-27T11:41:39Z | python | 2023-05-30T14:59:01Z | poetry.lock | # This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
[[package]]
name = "absl-py"
version = "1.4.0"
description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
category = "main"
optional = true
python-versions = ">=3.6"
files = [
{file = "absl-py-1... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,337 | Add MongoDBAtlasVectorSearch vectorstore | ### Feature request
MongoDB Atlas is a fully managed DBaaS, powered by the MongoDB database. It also enables Lucene (collocated with the mongod process) for full-text search - this is know as Atlas Search. The PR has to allow Langchain users from using the functionality related to the MongoDB Atlas Vector Search fea... | https://github.com/langchain-ai/langchain/issues/5337 | https://github.com/langchain-ai/langchain/pull/5338 | c4b502a47051f50c6e24b824d3db622748458d13 | a61b7f7e7c76ae8667e40cd29cfe30a3868d7dd8 | 2023-05-27T11:41:39Z | python | 2023-05-30T14:59:01Z | pyproject.toml | [tool.poetry]
name = "langchain"
version = "0.0.184"
description = "Building applications with LLMs through composability"
authors = []
license = "MIT"
readme = "README.md"
repository = "https://www.github.com/hwchase17/langchain"
[tool.poetry.scripts]
langchain-server = "langchain.server:main"
langchain = "langchain.... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,337 | Add MongoDBAtlasVectorSearch vectorstore | ### Feature request
MongoDB Atlas is a fully managed DBaaS, powered by the MongoDB database. It also enables Lucene (collocated with the mongod process) for full-text search - this is know as Atlas Search. The PR has to allow Langchain users from using the functionality related to the MongoDB Atlas Vector Search fea... | https://github.com/langchain-ai/langchain/issues/5337 | https://github.com/langchain-ai/langchain/pull/5338 | c4b502a47051f50c6e24b824d3db622748458d13 | a61b7f7e7c76ae8667e40cd29cfe30a3868d7dd8 | 2023-05-27T11:41:39Z | python | 2023-05-30T14:59:01Z | tests/integration_tests/.env.example | # openai
# your api key from https://platform.openai.com/account/api-keys
OPENAI_API_KEY=
# pinecone
# your api key from left menu "API Keys" in https://app.pinecone.io
PINECONE_API_KEY=your_pinecone_api_key_here
# your pinecone environment from left menu "API Keys" in https://app.pinecone.io
PINECONE_ENVIRONMENT=us-w... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,337 | Add MongoDBAtlasVectorSearch vectorstore | ### Feature request
MongoDB Atlas is a fully managed DBaaS, powered by the MongoDB database. It also enables Lucene (collocated with the mongod process) for full-text search - this is know as Atlas Search. The PR has to allow Langchain users from using the functionality related to the MongoDB Atlas Vector Search fea... | https://github.com/langchain-ai/langchain/issues/5337 | https://github.com/langchain-ai/langchain/pull/5338 | c4b502a47051f50c6e24b824d3db622748458d13 | a61b7f7e7c76ae8667e40cd29cfe30a3868d7dd8 | 2023-05-27T11:41:39Z | python | 2023-05-30T14:59:01Z | tests/integration_tests/vectorstores/test_mongodb_atlas.py | |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 3,605 | Embeddings normalization and similarity metric | I am new to using Langchain and attempting to make it work with a locally running LLM (Alpaca) and Embeddings model (Sentence Transformer). When configuring the sentence transformer model with `HuggingFaceEmbeddings` no arguments can be passed to the encode method of the model, specifically `normalize_embeddings=True`.... | https://github.com/langchain-ai/langchain/issues/3605 | https://github.com/langchain-ai/langchain/pull/5450 | e09afb4b4445c99bebabca4b2beb150ba3a37c5c | c1807d84086c92d1aea2eb7be181204e72ae10d0 | 2023-04-26T18:02:20Z | python | 2023-05-30T18:57:04Z | langchain/embeddings/huggingface.py | """Wrapper around HuggingFace embedding models."""
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Extra, Field
from langchain.embeddings.base import Embeddings
DEFAULT_MODEL_NAME = "sentence-transformers/all-mpnet-base-v2"
DEFAULT_INSTRUCT_MODEL = "hkunlp/instructor-large"
DEFAULT_EMBED... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 3,605 | Embeddings normalization and similarity metric | I am new to using Langchain and attempting to make it work with a locally running LLM (Alpaca) and Embeddings model (Sentence Transformer). When configuring the sentence transformer model with `HuggingFaceEmbeddings` no arguments can be passed to the encode method of the model, specifically `normalize_embeddings=True`.... | https://github.com/langchain-ai/langchain/issues/3605 | https://github.com/langchain-ai/langchain/pull/5450 | e09afb4b4445c99bebabca4b2beb150ba3a37c5c | c1807d84086c92d1aea2eb7be181204e72ae10d0 | 2023-04-26T18:02:20Z | python | 2023-05-30T18:57:04Z | tests/integration_tests/embeddings/test_huggingface.py | """Test huggingface embeddings."""
from langchain.embeddings.huggingface import (
HuggingFaceEmbeddings,
HuggingFaceInstructEmbeddings,
)
def test_huggingface_embedding_documents() -> None:
"""Test huggingface embeddings."""
documents = ["foo bar"]
embedding = HuggingFaceEmbeddings()
output =... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,423 | SQLDatabaseToolkit doesn't work well with Postgresql, it will truncate the last double quotation marks in the SQL | ### System Info
Langchain: 0.0.184
Python: 3.10.9
Platform: Windows 10 with Jupyter lab
### Who can help?
@vowelparrot
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates... | https://github.com/langchain-ai/langchain/issues/5423 | https://github.com/langchain-ai/langchain/pull/5432 | c1807d84086c92d1aea2eb7be181204e72ae10d0 | 1d861dc37a63a41ae2e0983f2ee418efde968ce3 | 2023-05-30T04:02:36Z | python | 2023-05-30T19:58:47Z | langchain/agents/mrkl/output_parser.py | import re
from typing import Union
from langchain.agents.agent import AgentOutputParser
from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS
from langchain.schema import AgentAction, AgentFinish, OutputParserException
FINAL_ANSWER_ACTION = "Final Answer:"
class MRKLOutputParser(AgentOutputParser):
def g... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,423 | SQLDatabaseToolkit doesn't work well with Postgresql, it will truncate the last double quotation marks in the SQL | ### System Info
Langchain: 0.0.184
Python: 3.10.9
Platform: Windows 10 with Jupyter lab
### Who can help?
@vowelparrot
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates... | https://github.com/langchain-ai/langchain/issues/5423 | https://github.com/langchain-ai/langchain/pull/5432 | c1807d84086c92d1aea2eb7be181204e72ae10d0 | 1d861dc37a63a41ae2e0983f2ee418efde968ce3 | 2023-05-30T04:02:36Z | python | 2023-05-30T19:58:47Z | tests/unit_tests/agents/test_mrkl.py | """Test MRKL functionality."""
from typing import Tuple
import pytest
from langchain.agents.mrkl.base import ZeroShotAgent
from langchain.agents.mrkl.output_parser import MRKLOutputParser
from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS, PREFIX, SUFFIX
from langchain.agents.tools import Tool
from langcha... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,465 | Google BigQuery Loader doesn't take credentials | ### Feature request
I would like to be able to provide credentials to the bigquery.client object
### Motivation
I cannot access protected datasets without use of a service account or other credentials
### Your contribution
I will submit a PR. | https://github.com/langchain-ai/langchain/issues/5465 | https://github.com/langchain-ai/langchain/pull/5466 | eab4b4ccd7e1ca4dcfdf4c400250494e4503fcb1 | 199cc700a344a2b15dff3a8924746a5ceb1aad7e | 2023-05-30T21:18:13Z | python | 2023-05-30T23:25:22Z | langchain/document_loaders/bigquery.py | from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
class BigQueryLoader(BaseLoader):
"""Loads a query result from BigQuery into a list of documents.
Each document represents one row of the result. The `page_content_column... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,465 | Google BigQuery Loader doesn't take credentials | ### Feature request
I would like to be able to provide credentials to the bigquery.client object
### Motivation
I cannot access protected datasets without use of a service account or other credentials
### Your contribution
I will submit a PR. | https://github.com/langchain-ai/langchain/issues/5465 | https://github.com/langchain-ai/langchain/pull/5466 | eab4b4ccd7e1ca4dcfdf4c400250494e4503fcb1 | 199cc700a344a2b15dff3a8924746a5ceb1aad7e | 2023-05-30T21:18:13Z | python | 2023-05-30T23:25:22Z | poetry.lock | # This file is automatically @generated by Poetry 1.4.1 and should not be changed by hand.
[[package]]
name = "absl-py"
version = "1.4.0"
description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
category = "main"
optional = true
python-versions = ">=3.6"
files = [
{file = "absl-py-1... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,465 | Google BigQuery Loader doesn't take credentials | ### Feature request
I would like to be able to provide credentials to the bigquery.client object
### Motivation
I cannot access protected datasets without use of a service account or other credentials
### Your contribution
I will submit a PR. | https://github.com/langchain-ai/langchain/issues/5465 | https://github.com/langchain-ai/langchain/pull/5466 | eab4b4ccd7e1ca4dcfdf4c400250494e4503fcb1 | 199cc700a344a2b15dff3a8924746a5ceb1aad7e | 2023-05-30T21:18:13Z | python | 2023-05-30T23:25:22Z | pyproject.toml | [tool.poetry]
name = "langchain"
version = "0.0.186"
description = "Building applications with LLMs through composability"
authors = []
license = "MIT"
readme = "README.md"
repository = "https://www.github.com/hwchase17/langchain"
[tool.poetry.scripts]
langchain-server = "langchain.server:main"
langchain = "langchain.... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,582 | Chroma.update_document bug | ### System Info
update_document only embeds a single document, but the single page_content string is cast to a list before embedding, resulting in a per-character embedding not a per-document embedding.
https://github.com/hwchase17/langchain/blob/4c572ffe959957b515528a9036b374f56cef027f/langchain/vectorstores/chrom... | https://github.com/langchain-ai/langchain/issues/5582 | https://github.com/langchain-ai/langchain/pull/5584 | 3c6fa9126aa6422084e8c064eda06292d40ac517 | c5a7a85a4e6cd307f83b2e455d466722d75940b2 | 2023-06-01T23:13:30Z | python | 2023-06-02T18:12:48Z | langchain/vectorstores/chroma.py | """Wrapper around ChromaDB embeddings platform."""
from __future__ import annotations
import logging
import uuid
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Tuple, Type
import numpy as np
from langchain.docstore.document import Document
from langchain.embeddings.base import Embeddings
from... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,582 | Chroma.update_document bug | ### System Info
update_document only embeds a single document, but the single page_content string is cast to a list before embedding, resulting in a per-character embedding not a per-document embedding.
https://github.com/hwchase17/langchain/blob/4c572ffe959957b515528a9036b374f56cef027f/langchain/vectorstores/chrom... | https://github.com/langchain-ai/langchain/issues/5582 | https://github.com/langchain-ai/langchain/pull/5584 | 3c6fa9126aa6422084e8c064eda06292d40ac517 | c5a7a85a4e6cd307f83b2e455d466722d75940b2 | 2023-06-01T23:13:30Z | python | 2023-06-02T18:12:48Z | tests/integration_tests/vectorstores/test_chroma.py | """Test Chroma functionality."""
import pytest
from langchain.docstore.document import Document
from langchain.vectorstores import Chroma
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
def test_chroma() -> None:
"""Test end to end construction and search."""
texts = ["foo", "... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,623 | cannot import name 'FigmaFileLoader' | ### System Info
langchain==0.0.189
os:windows11
python=3.10.11
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
... | https://github.com/langchain-ai/langchain/issues/5623 | https://github.com/langchain-ai/langchain/pull/5636 | 20ec1173f40a13cba73d79cc0efa4653d2489d65 | 9a7488a5ce65aaf727464f02a10811719b517f11 | 2023-06-02T16:39:41Z | python | 2023-06-02T21:58:41Z | langchain/document_loaders/__init__.py | """All different types of document loaders."""
from langchain.document_loaders.airbyte_json import AirbyteJSONLoader
from langchain.document_loaders.apify_dataset import ApifyDatasetLoader
from langchain.document_loaders.arxiv import ArxivLoader
from langchain.document_loaders.azlyrics import AZLyricsLoader
from langc... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,627 | DOC: repetitive parts in Modules pages | ### Issue with current documentation:
Pages in Modules: Models, Prompts, Memory, ...
They all have repeated parts. See a picture.
### Idea or request for content:
The whole "Go Deeper" section can be remo... | https://github.com/langchain-ai/langchain/issues/5627 | https://github.com/langchain-ai/langchain/pull/5116 | bc875a9df16d17db531f9e363c18ed8b5ebbc047 | 95c6ed0568e808626ffb2ee6490b770a4ac9c508 | 2023-06-02T18:24:00Z | python | 2023-06-03T21:44:32Z | docs/modules/agents.rst | Agents
==========================
.. note::
`Conceptual Guide <https://docs.langchain.com/docs/components/agents>`_
Some applications will require not just a predetermined chain of calls to LLMs/other tools,
but potentially an unknown chain that depends on the user's input.
In these types of chains, there is a “a... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,627 | DOC: repetitive parts in Modules pages | ### Issue with current documentation:
Pages in Modules: Models, Prompts, Memory, ...
They all have repeated parts. See a picture.
### Idea or request for content:
The whole "Go Deeper" section can be remo... | https://github.com/langchain-ai/langchain/issues/5627 | https://github.com/langchain-ai/langchain/pull/5116 | bc875a9df16d17db531f9e363c18ed8b5ebbc047 | 95c6ed0568e808626ffb2ee6490b770a4ac9c508 | 2023-06-02T18:24:00Z | python | 2023-06-03T21:44:32Z | docs/modules/chains.rst | Chains
==========================
.. note::
`Conceptual Guide <https://docs.langchain.com/docs/components/chains>`_
Using an LLM in isolation is fine for some simple applications,
but many more complex ones require chaining LLMs - either with each other or with other experts.
LangChain provides a standard interfa... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,627 | DOC: repetitive parts in Modules pages | ### Issue with current documentation:
Pages in Modules: Models, Prompts, Memory, ...
They all have repeated parts. See a picture.
### Idea or request for content:
The whole "Go Deeper" section can be remo... | https://github.com/langchain-ai/langchain/issues/5627 | https://github.com/langchain-ai/langchain/pull/5116 | bc875a9df16d17db531f9e363c18ed8b5ebbc047 | 95c6ed0568e808626ffb2ee6490b770a4ac9c508 | 2023-06-02T18:24:00Z | python | 2023-06-03T21:44:32Z | docs/modules/indexes.rst | Indexes
==========================
.. note::
`Conceptual Guide <https://docs.langchain.com/docs/components/indexing>`_
Indexes refer to ways to structure documents so that LLMs can best interact with them.
This module contains utility functions for working with documents, different types of indexes, and then exam... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,627 | DOC: repetitive parts in Modules pages | ### Issue with current documentation:
Pages in Modules: Models, Prompts, Memory, ...
They all have repeated parts. See a picture.
### Idea or request for content:
The whole "Go Deeper" section can be remo... | https://github.com/langchain-ai/langchain/issues/5627 | https://github.com/langchain-ai/langchain/pull/5116 | bc875a9df16d17db531f9e363c18ed8b5ebbc047 | 95c6ed0568e808626ffb2ee6490b770a4ac9c508 | 2023-06-02T18:24:00Z | python | 2023-06-03T21:44:32Z | docs/modules/memory.rst | Memory
==========================
.. note::
`Conceptual Guide <https://docs.langchain.com/docs/components/memory>`_
By default, Chains and Agents are stateless,
meaning that they treat each incoming query independently (as are the underlying LLMs and chat models).
In some applications (chatbots being a GREAT exam... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,627 | DOC: repetitive parts in Modules pages | ### Issue with current documentation:
Pages in Modules: Models, Prompts, Memory, ...
They all have repeated parts. See a picture.
### Idea or request for content:
The whole "Go Deeper" section can be remo... | https://github.com/langchain-ai/langchain/issues/5627 | https://github.com/langchain-ai/langchain/pull/5116 | bc875a9df16d17db531f9e363c18ed8b5ebbc047 | 95c6ed0568e808626ffb2ee6490b770a4ac9c508 | 2023-06-02T18:24:00Z | python | 2023-06-03T21:44:32Z | docs/modules/models.rst | Models
==========================
.. note::
`Conceptual Guide <https://docs.langchain.com/docs/components/models>`_
This section of the documentation deals with different types of models that are used in LangChain.
On this page we will go over the model types at a high level,
but we have individual pages for each... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,627 | DOC: repetitive parts in Modules pages | ### Issue with current documentation:
Pages in Modules: Models, Prompts, Memory, ...
They all have repeated parts. See a picture.
### Idea or request for content:
The whole "Go Deeper" section can be remo... | https://github.com/langchain-ai/langchain/issues/5627 | https://github.com/langchain-ai/langchain/pull/5116 | bc875a9df16d17db531f9e363c18ed8b5ebbc047 | 95c6ed0568e808626ffb2ee6490b770a4ac9c508 | 2023-06-02T18:24:00Z | python | 2023-06-03T21:44:32Z | docs/modules/prompts.rst | Prompts
==========================
.. note::
`Conceptual Guide <https://docs.langchain.com/docs/components/prompts>`_
The new way of programming models is through prompts.
A "prompt" refers to the input to the model.
This input is rarely hard coded, but rather is often constructed from multiple components.
A Prom... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,627 | DOC: repetitive parts in Modules pages | ### Issue with current documentation:
Pages in Modules: Models, Prompts, Memory, ...
They all have repeated parts. See a picture.
### Idea or request for content:
The whole "Go Deeper" section can be remo... | https://github.com/langchain-ai/langchain/issues/5627 | https://github.com/langchain-ai/langchain/pull/5116 | bc875a9df16d17db531f9e363c18ed8b5ebbc047 | 95c6ed0568e808626ffb2ee6490b770a4ac9c508 | 2023-06-02T18:24:00Z | python | 2023-06-03T21:44:32Z | docs/modules/prompts/chat_prompt_template.ipynb | {
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"id": "6488fdaf",
"metadata": {},
"source": [
"# Chat Prompt Template\n",
"\n",
"[Chat Models](../models/chat.rst) takes a list of chat messages as input - this list commonly referred to as a prompt.\n",
"These chat messages di... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,191 | Support personal access token (PAT) in ConfluenceLoader | ### Issue you'd like to raise.
The [Atlassian API](https://atlassian-python-api.readthedocs.io/) (including Confluence) supports just passing a PAT (as token=<PAT>) to authenticate as a user, unfortunately the LangChain abstraction doesn't.
### Suggestion:
Add an optional "token" parameter to ConfluenceLoader... | https://github.com/langchain-ai/langchain/issues/5191 | https://github.com/langchain-ai/langchain/pull/5385 | b81f98b8a66999117246fbc134fc09d64a04e230 | ae2cf1f598360e1fc83839fdcd363378d663c936 | 2023-05-24T11:15:54Z | python | 2023-06-03T21:57:49Z | docs/modules/indexes/document_loaders/examples/confluence.ipynb | {
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Confluence\n",
"\n",
">[Confluence](https://www.atlassian.com/software/confluence) is a wiki collaboration platform that saves and organizes all of the project-related material. `Confluence` is a knowledge base that primarily... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,191 | Support personal access token (PAT) in ConfluenceLoader | ### Issue you'd like to raise.
The [Atlassian API](https://atlassian-python-api.readthedocs.io/) (including Confluence) supports just passing a PAT (as token=<PAT>) to authenticate as a user, unfortunately the LangChain abstraction doesn't.
### Suggestion:
Add an optional "token" parameter to ConfluenceLoader... | https://github.com/langchain-ai/langchain/issues/5191 | https://github.com/langchain-ai/langchain/pull/5385 | b81f98b8a66999117246fbc134fc09d64a04e230 | ae2cf1f598360e1fc83839fdcd363378d663c936 | 2023-05-24T11:15:54Z | python | 2023-06-03T21:57:49Z | langchain/document_loaders/confluence.py | """Load Data from a Confluence Space"""
import logging
from io import BytesIO
from typing import Any, Callable, List, Optional, Union
from tenacity import (
before_sleep_log,
retry,
stop_after_attempt,
wait_exponential,
)
from langchain.docstore.document import Document
from langchain.document_loaders... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,400 | Add the ability to pass the prompt through to Executor Agents for enrichment during PlanAndExecute | ### Feature request
Add the ability to pass the original prompt through to the ExecutorAgent so that the original explicit context is not lost during a PlanAndExecute run.
### Motivation
PlanAndExecute agents can create a plan of steps dependent on context given in the original prompt. However, this context is lost ... | https://github.com/langchain-ai/langchain/issues/5400 | https://github.com/langchain-ai/langchain/pull/5401 | ae2cf1f598360e1fc83839fdcd363378d663c936 | 1f4abb265a9fd6c520835c3bebe8243b077495b5 | 2023-05-29T13:19:30Z | python | 2023-06-03T21:59:09Z | langchain/experimental/plan_and_execute/agent_executor.py | from typing import Any, Dict, List, Optional
from pydantic import Field
from langchain.callbacks.manager import CallbackManagerForChainRun
from langchain.chains.base import Chain
from langchain.experimental.plan_and_execute.executors.base import BaseExecutor
from langchain.experimental.plan_and_execute.planners.base ... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,400 | Add the ability to pass the prompt through to Executor Agents for enrichment during PlanAndExecute | ### Feature request
Add the ability to pass the original prompt through to the ExecutorAgent so that the original explicit context is not lost during a PlanAndExecute run.
### Motivation
PlanAndExecute agents can create a plan of steps dependent on context given in the original prompt. However, this context is lost ... | https://github.com/langchain-ai/langchain/issues/5400 | https://github.com/langchain-ai/langchain/pull/5401 | ae2cf1f598360e1fc83839fdcd363378d663c936 | 1f4abb265a9fd6c520835c3bebe8243b077495b5 | 2023-05-29T13:19:30Z | python | 2023-06-03T21:59:09Z | langchain/experimental/plan_and_execute/executors/agent_executor.py | from typing import List
from langchain.agents.agent import AgentExecutor
from langchain.agents.structured_chat.base import StructuredChatAgent
from langchain.base_language import BaseLanguageModel
from langchain.experimental.plan_and_execute.executors.base import ChainExecutor
from langchain.tools import BaseTool
HUM... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,433 | FinalStreamingStdOutCallbackHandler not working with ChatOpenAI LLM | ### System Info
Hi :)
I tested the new callback stream handler `FinalStreamingStdOutCallbackHandler` and noticed an issue with it.
I copied the code from the documentation and made just one change - use `ChatOpenAI` instead of `OpenAI`
### Who can help?
@hwchase17
### Information
- [X] The official example no... | https://github.com/langchain-ai/langchain/issues/5433 | https://github.com/langchain-ai/langchain/pull/5497 | 1f4abb265a9fd6c520835c3bebe8243b077495b5 | 44ad9628c9828e220540dd77680611741a6ed087 | 2023-05-30T10:51:06Z | python | 2023-06-03T22:05:58Z | docs/modules/agents/streaming_stdout_final_only.ipynb | {
"cells": [
{
"cell_type": "markdown",
"id": "23234b50-e6c6-4c87-9f97-259c15f36894",
"metadata": {
"tags": []
},
"source": [
"# Only streaming final agent output"
]
},
{
"cell_type": "markdown",
"id": "29dd6333-307c-43df-b848-65001c01733b",
"metadata": {},
"source": [
"... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,433 | FinalStreamingStdOutCallbackHandler not working with ChatOpenAI LLM | ### System Info
Hi :)
I tested the new callback stream handler `FinalStreamingStdOutCallbackHandler` and noticed an issue with it.
I copied the code from the documentation and made just one change - use `ChatOpenAI` instead of `OpenAI`
### Who can help?
@hwchase17
### Information
- [X] The official example no... | https://github.com/langchain-ai/langchain/issues/5433 | https://github.com/langchain-ai/langchain/pull/5497 | 1f4abb265a9fd6c520835c3bebe8243b077495b5 | 44ad9628c9828e220540dd77680611741a6ed087 | 2023-05-30T10:51:06Z | python | 2023-06-03T22:05:58Z | langchain/callbacks/streaming_stdout_final_only.py | """Callback Handler streams to stdout on new llm token."""
import sys
from typing import Any, Dict, List, Optional
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
DEFAULT_ANSWER_PREFIX_TOKENS = ["\nFinal", " Answer", ":"]
class FinalStreamingStdOutCallbackHandler(StreamingStdOutCallb... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,545 | Issue: Improve Error Messaging When APOC Procedures Fail in Neo4jGraph | ### Issue you'd like to raise.
In the current implementation, when an APOC procedure fails, a generic error message is raised stating: "Could not use APOC procedures. Please install the APOC plugin in Neo4j." This message can lead to user confusion as it suggests the APOC plugin is not installed when in reality it may... | https://github.com/langchain-ai/langchain/issues/5545 | https://github.com/langchain-ai/langchain/pull/5547 | 33ea606f455f195d74f09ac654e03da8850ecb9b | 3e45b8306555a48b5838ed7dd33b1a4c615bdd18 | 2023-06-01T08:04:16Z | python | 2023-06-03T23:56:39Z | langchain/graphs/neo4j_graph.py | from typing import Any, Dict, List
node_properties_query = """
CALL apoc.meta.data()
YIELD label, other, elementType, type, property
WHERE NOT type = "RELATIONSHIP" AND elementType = "node"
WITH label AS nodeLabels, collect({property:property, type:type}) AS properties
RETURN {labels: nodeLabels, properties: propertie... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,651 | AttributeError: 'LLModel' object has no attribute 'model_type' (gpt4all) | ### System Info
run on docker image with python:3.11.3-bullseye in MAC m1
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Tem... | https://github.com/langchain-ai/langchain/issues/5651 | https://github.com/langchain-ai/langchain/pull/5657 | 6a3ceaa3771a725046af3c02cf4c15a3e18ec54a | 8fea0529c1be9c9f5308a9b5a51f8381067a269a | 2023-06-03T10:37:42Z | python | 2023-06-04T14:21:16Z | langchain/llms/gpt4all.py | """Wrapper for the GPT4All model."""
from functools import partial
from typing import Any, Dict, List, Mapping, Optional, Set
from pydantic import Extra, Field, root_validator
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain.llms.base import LLM
from langchain.llms.utils import enforce_... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,638 | DOC: "Amazon Bedrock" is not sorted in Integrations section of nav | ### Issue with current documentation:
In the left nav of the docs, "Amazon Bedrock" is alphabetized after "Beam integration for langchain" and before "Cerebrium AI", not with the rest of the A-named integrations.
<img width="254" alt="image" src="https://github.com/hwchase17/langchain/assets/93281816/20836ca0-3946-... | https://github.com/langchain-ai/langchain/issues/5638 | https://github.com/langchain-ai/langchain/pull/5639 | 6e25e650859fc86365252e0bdf8fd2223e5dec1c | 6c11f940132a26d7dc967d213d23d093ddb90b14 | 2023-06-02T23:41:12Z | python | 2023-06-04T21:39:25Z | docs/integrations/bedrock.md | # Amazon Bedrock
>[Amazon Bedrock](https://aws.amazon.com/bedrock/) is a fully managed service that makes FMs from leading AI startups and Amazon available via an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.
## Installation and Setup
```bash
pip install bot... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,638 | DOC: "Amazon Bedrock" is not sorted in Integrations section of nav | ### Issue with current documentation:
In the left nav of the docs, "Amazon Bedrock" is alphabetized after "Beam integration for langchain" and before "Cerebrium AI", not with the rest of the A-named integrations.
<img width="254" alt="image" src="https://github.com/hwchase17/langchain/assets/93281816/20836ca0-3946-... | https://github.com/langchain-ai/langchain/issues/5638 | https://github.com/langchain-ai/langchain/pull/5639 | 6e25e650859fc86365252e0bdf8fd2223e5dec1c | 6c11f940132a26d7dc967d213d23d093ddb90b14 | 2023-06-02T23:41:12Z | python | 2023-06-04T21:39:25Z | docs/modules/models/llms/integrations/bedrock.ipynb | {
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Amazon Bedrock"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[Amazon Bedrock](https://aws.amazon.com/bedrock/) is a fully managed service that makes FMs from leading AI startups and Amazon availabl... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,601 | OutputParsers currently allows model to hallucinate the output of an action | ### System Info
The MRKL and chat output parsers currently will allow an LLM response to generate a valid action, as well as hallucinate a "final answer" based on that response.
[Logic](https://github.com/hwchase17/langchain/blob/master/langchain/agents/chat/output_parser.py#L15)
This is because the parser is ... | https://github.com/langchain-ai/langchain/issues/5601 | https://github.com/langchain-ai/langchain/pull/5609 | c112d7334d6cac3296b877250d3f575fbfd46da2 | 26ec845921425d99f222b6d21bd58eda36b2f49b | 2023-06-02T08:01:50Z | python | 2023-06-04T21:40:49Z | langchain/agents/chat/output_parser.py | import json
from typing import Union
from langchain.agents.agent import AgentOutputParser
from langchain.agents.chat.prompt import FORMAT_INSTRUCTIONS
from langchain.schema import AgentAction, AgentFinish, OutputParserException
FINAL_ANSWER_ACTION = "Final Answer:"
class ChatOutputParser(AgentOutputParser):
def... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,601 | OutputParsers currently allows model to hallucinate the output of an action | ### System Info
The MRKL and chat output parsers currently will allow an LLM response to generate a valid action, as well as hallucinate a "final answer" based on that response.
[Logic](https://github.com/hwchase17/langchain/blob/master/langchain/agents/chat/output_parser.py#L15)
This is because the parser is ... | https://github.com/langchain-ai/langchain/issues/5601 | https://github.com/langchain-ai/langchain/pull/5609 | c112d7334d6cac3296b877250d3f575fbfd46da2 | 26ec845921425d99f222b6d21bd58eda36b2f49b | 2023-06-02T08:01:50Z | python | 2023-06-04T21:40:49Z | langchain/agents/mrkl/output_parser.py | import re
from typing import Union
from langchain.agents.agent import AgentOutputParser
from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS
from langchain.schema import AgentAction, AgentFinish, OutputParserException
FINAL_ANSWER_ACTION = "Final Answer:"
class MRKLOutputParser(AgentOutputParser):
def g... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,601 | OutputParsers currently allows model to hallucinate the output of an action | ### System Info
The MRKL and chat output parsers currently will allow an LLM response to generate a valid action, as well as hallucinate a "final answer" based on that response.
[Logic](https://github.com/hwchase17/langchain/blob/master/langchain/agents/chat/output_parser.py#L15)
This is because the parser is ... | https://github.com/langchain-ai/langchain/issues/5601 | https://github.com/langchain-ai/langchain/pull/5609 | c112d7334d6cac3296b877250d3f575fbfd46da2 | 26ec845921425d99f222b6d21bd58eda36b2f49b | 2023-06-02T08:01:50Z | python | 2023-06-04T21:40:49Z | tests/unit_tests/agents/test_mrkl.py | """Test MRKL functionality."""
from typing import Tuple
import pytest
from langchain.agents.mrkl.base import ZeroShotAgent
from langchain.agents.mrkl.output_parser import MRKLOutputParser
from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS, PREFIX, SUFFIX
from langchain.agents.tools import Tool
from langcha... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,720 | AttributeError: 'GPT4All' object has no attribute 'model_type' (langchain 0.0.190) | ### System Info
Hi, this is related to #5651 but (on my machine ;) ) the issue is still there.
## Versions
* Intel Mac with latest OSX
* Python 3.11.2
* langchain 0.0.190, includes fix for #5651
* ggml-mpt-7b-instruct.bin, downloaded at June 5th from https://gpt4all.io/models/ggml-mpt-7b-instruct.bin
##... | https://github.com/langchain-ai/langchain/issues/5720 | https://github.com/langchain-ai/langchain/pull/5743 | d0d89d39efb5f292f72e70973f3b70c4ca095047 | 74f8e603d942ca22ed07bf0ea23a57ed67b36b2c | 2023-06-05T09:44:08Z | python | 2023-06-05T19:45:29Z | langchain/llms/gpt4all.py | """Wrapper for the GPT4All model."""
from functools import partial
from typing import Any, Dict, List, Mapping, Optional, Set
from pydantic import Extra, Field, root_validator
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain.llms.base import LLM
from langchain.llms.utils import enforce_... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,699 | Sitemap filters not working due to lack of stripping whitespace and newlines | https://github.com/hwchase17/langchain/blob/8d9e9e013ccfe72d839dcfa37a3f17c340a47a88/langchain/document_loaders/sitemap.py#L83
if
```
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:xhtml="http://www.w3.org/1999/xhtml">
<url>
<loc>
https://tatum.com/
</loc>
... | https://github.com/langchain-ai/langchain/issues/5699 | https://github.com/langchain-ai/langchain/pull/5728 | 98dd6d068a67c2ac1c14785ea189c2e4c8882bf5 | 2dcda8a8aca4c427ff5716e6ac37ab0c24a7f2e5 | 2023-06-04T22:49:54Z | python | 2023-06-05T23:33:55Z | langchain/document_loaders/sitemap.py | """Loader that fetches a sitemap and loads those URLs."""
import itertools
import re
from typing import Any, Callable, Generator, Iterable, List, Optional
from langchain.document_loaders.web_base import WebBaseLoader
from langchain.schema import Document
def _default_parsing_function(content: Any) -> str:
return... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,614 | MarkdownTextSplitter: multiple repeat at position 4 (line 3, column 2) | ### System Info
langchain 0.0.188
python 3.8.10
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
... | https://github.com/langchain-ai/langchain/issues/5614 | https://github.com/langchain-ai/langchain/pull/5625 | 25487fa5ee38710d2f0edd0672fdd83557b3d0da | d5b160821641df77df447e6dfce21b58fbb13d75 | 2023-06-02T12:20:41Z | python | 2023-06-05T23:40:26Z | langchain/text_splitter.py | """Functionality for splitting text."""
from __future__ import annotations
import copy
import logging
import re
from abc import ABC, abstractmethod
from dataclasses import dataclass
from enum import Enum
from typing import (
AbstractSet,
Any,
Callable,
Collection,
Iterable,
List,
Literal,
... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,614 | MarkdownTextSplitter: multiple repeat at position 4 (line 3, column 2) | ### System Info
langchain 0.0.188
python 3.8.10
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
... | https://github.com/langchain-ai/langchain/issues/5614 | https://github.com/langchain-ai/langchain/pull/5625 | 25487fa5ee38710d2f0edd0672fdd83557b3d0da | d5b160821641df77df447e6dfce21b58fbb13d75 | 2023-06-02T12:20:41Z | python | 2023-06-05T23:40:26Z | tests/unit_tests/test_text_splitter.py | """Test text splitting functionality."""
import pytest
from langchain.docstore.document import Document
from langchain.text_splitter import (
CharacterTextSplitter,
Language,
PythonCodeTextSplitter,
RecursiveCharacterTextSplitter,
)
FAKE_PYTHON_TEXT = """
class Foo:
def bar():
def foo():
def t... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,535 | Add Tigris vectorstore for vector search | ### Feature request
Support Tigris as a vector search backend
### Motivation
Tigris is a Serverless NoSQL Database and Search Platform and have their [vector search](https://www.tigrisdata.com/docs/concepts/vector-search/python/) product. It will be great option for users to use an integrated database and search pro... | https://github.com/langchain-ai/langchain/issues/5535 | https://github.com/langchain-ai/langchain/pull/5703 | 38dabdbb3a900ae60e4b503cd48c26903b2d4673 | 233b52735e77121849b0fc9f8eaf6170222f0ac7 | 2023-06-01T03:18:00Z | python | 2023-06-06T03:39:16Z | docs/modules/indexes/vectorstores/examples/tigris.ipynb | |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,535 | Add Tigris vectorstore for vector search | ### Feature request
Support Tigris as a vector search backend
### Motivation
Tigris is a Serverless NoSQL Database and Search Platform and have their [vector search](https://www.tigrisdata.com/docs/concepts/vector-search/python/) product. It will be great option for users to use an integrated database and search pro... | https://github.com/langchain-ai/langchain/issues/5535 | https://github.com/langchain-ai/langchain/pull/5703 | 38dabdbb3a900ae60e4b503cd48c26903b2d4673 | 233b52735e77121849b0fc9f8eaf6170222f0ac7 | 2023-06-01T03:18:00Z | python | 2023-06-06T03:39:16Z | langchain/vectorstores/__init__.py | """Wrappers on top of vector stores."""
from langchain.vectorstores.analyticdb import AnalyticDB
from langchain.vectorstores.annoy import Annoy
from langchain.vectorstores.atlas import AtlasDB
from langchain.vectorstores.base import VectorStore
from langchain.vectorstores.chroma import Chroma
from langchain.vectorstore... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,535 | Add Tigris vectorstore for vector search | ### Feature request
Support Tigris as a vector search backend
### Motivation
Tigris is a Serverless NoSQL Database and Search Platform and have their [vector search](https://www.tigrisdata.com/docs/concepts/vector-search/python/) product. It will be great option for users to use an integrated database and search pro... | https://github.com/langchain-ai/langchain/issues/5535 | https://github.com/langchain-ai/langchain/pull/5703 | 38dabdbb3a900ae60e4b503cd48c26903b2d4673 | 233b52735e77121849b0fc9f8eaf6170222f0ac7 | 2023-06-01T03:18:00Z | python | 2023-06-06T03:39:16Z | langchain/vectorstores/tigris.py | |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,535 | Add Tigris vectorstore for vector search | ### Feature request
Support Tigris as a vector search backend
### Motivation
Tigris is a Serverless NoSQL Database and Search Platform and have their [vector search](https://www.tigrisdata.com/docs/concepts/vector-search/python/) product. It will be great option for users to use an integrated database and search pro... | https://github.com/langchain-ai/langchain/issues/5535 | https://github.com/langchain-ai/langchain/pull/5703 | 38dabdbb3a900ae60e4b503cd48c26903b2d4673 | 233b52735e77121849b0fc9f8eaf6170222f0ac7 | 2023-06-01T03:18:00Z | python | 2023-06-06T03:39:16Z | poetry.lock | # This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
[[package]]
name = "absl-py"
version = "1.4.0"
description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
optional = true
python-versions = ">=3.6"
files = [
{file = "absl-py-1.4.0.tar.gz", hash... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,535 | Add Tigris vectorstore for vector search | ### Feature request
Support Tigris as a vector search backend
### Motivation
Tigris is a Serverless NoSQL Database and Search Platform and have their [vector search](https://www.tigrisdata.com/docs/concepts/vector-search/python/) product. It will be great option for users to use an integrated database and search pro... | https://github.com/langchain-ai/langchain/issues/5535 | https://github.com/langchain-ai/langchain/pull/5703 | 38dabdbb3a900ae60e4b503cd48c26903b2d4673 | 233b52735e77121849b0fc9f8eaf6170222f0ac7 | 2023-06-01T03:18:00Z | python | 2023-06-06T03:39:16Z | pyproject.toml | [tool.poetry]
name = "langchain"
version = "0.0.190"
description = "Building applications with LLMs through composability"
authors = []
license = "MIT"
readme = "README.md"
repository = "https://www.github.com/hwchase17/langchain"
[tool.poetry.scripts]
langchain-server = "langchain.server:main"
langchain = "langchain.... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,822 | skip openai params when embedding | ### System Info
langchain@0.0.192
I upgrade my langchain lib by execute pip install -U langchain, and the verion is 0.0.192。But i found that openai.api_base not working. I use azure openai service as openai backend, the openai.api_base is very import for me. I hava compared tag/0.0.192 and tag/0.0.191, and figure out... | https://github.com/langchain-ai/langchain/issues/5822 | https://github.com/langchain-ai/langchain/pull/5821 | b3ae6bcd3f42ec85ee65eb29c922ab22a17a0210 | 5a207cce8f026e32c93bf271f80b73570d4b2844 | 2023-06-07T08:36:23Z | python | 2023-06-07T14:32:57Z | langchain/embeddings/openai.py | """Wrapper around OpenAI embedding models."""
from __future__ import annotations
import logging
from typing import (
Any,
Callable,
Dict,
List,
Literal,
Optional,
Sequence,
Set,
Tuple,
Union,
)
import numpy as np
from pydantic import BaseModel, Extra, root_validator
from tenaci... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 3,983 | RetrievalQA & RetrievalQAWithSourcesChain chains cannot be serialized/saved or loaded | `VectorDBQA` is being deprecated in favour of `RetrievalQA` & similarly, `VectorDBQAWithSourcesChain` is being deprecated for `RetrievalQAWithSourcesChain`.
Currently, `VectorDBQA` & `VectorDBQAWithSourcesChain` chains can be serialized using `vec_chain.save(...)` because they have `_chain_type` property - https://... | https://github.com/langchain-ai/langchain/issues/3983 | https://github.com/langchain-ai/langchain/pull/5818 | b93638ef1ef683dfbb46e8e7654e96325324a98c | 5518f24ec38654510bada81025fe4e96c26556a7 | 2023-05-02T16:17:48Z | python | 2023-06-08T04:07:13Z | langchain/chains/loading.py | """Functionality for loading chains."""
import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain.chains.api.base import APIChain
from langchain.chains.base import Chain
from langchain.chains.combine_documents.map_reduce import MapReduceDocumentsChain
from langchain.chains.combine_... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 3,983 | RetrievalQA & RetrievalQAWithSourcesChain chains cannot be serialized/saved or loaded | `VectorDBQA` is being deprecated in favour of `RetrievalQA` & similarly, `VectorDBQAWithSourcesChain` is being deprecated for `RetrievalQAWithSourcesChain`.
Currently, `VectorDBQA` & `VectorDBQAWithSourcesChain` chains can be serialized using `vec_chain.save(...)` because they have `_chain_type` property - https://... | https://github.com/langchain-ai/langchain/issues/3983 | https://github.com/langchain-ai/langchain/pull/5818 | b93638ef1ef683dfbb46e8e7654e96325324a98c | 5518f24ec38654510bada81025fe4e96c26556a7 | 2023-05-02T16:17:48Z | python | 2023-06-08T04:07:13Z | langchain/chains/retrieval_qa/base.py | """Chain for question-answering against a vector database."""
from __future__ import annotations
import warnings
from abc import abstractmethod
from typing import Any, Dict, List, Optional
from pydantic import Extra, Field, root_validator
from langchain.base_language import BaseLanguageModel
from langchain.callbacks... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 3,983 | RetrievalQA & RetrievalQAWithSourcesChain chains cannot be serialized/saved or loaded | `VectorDBQA` is being deprecated in favour of `RetrievalQA` & similarly, `VectorDBQAWithSourcesChain` is being deprecated for `RetrievalQAWithSourcesChain`.
Currently, `VectorDBQA` & `VectorDBQAWithSourcesChain` chains can be serialized using `vec_chain.save(...)` because they have `_chain_type` property - https://... | https://github.com/langchain-ai/langchain/issues/3983 | https://github.com/langchain-ai/langchain/pull/5818 | b93638ef1ef683dfbb46e8e7654e96325324a98c | 5518f24ec38654510bada81025fe4e96c26556a7 | 2023-05-02T16:17:48Z | python | 2023-06-08T04:07:13Z | tests/integration_tests/chains/test_retrieval_qa.py | |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,713 | Inference parameters for Bedrock titan models not working | ### System Info
LangChain version 0.0.190
Python 3.9
### Who can help?
@seanpmorgan @3coins
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] O... | https://github.com/langchain-ai/langchain/issues/5713 | https://github.com/langchain-ai/langchain/pull/5896 | 767fa91eae3455050d85a594fededddff3311dbe | a6ebffb69504576a805f3b9f09732ad344751b89 | 2023-06-05T06:48:57Z | python | 2023-06-08T21:16:01Z | langchain/llms/bedrock.py | import json
from typing import Any, Dict, List, Mapping, Optional
from pydantic import Extra, root_validator
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain.llms.base import LLM
from langchain.llms.utils import enforce_stop_tokens
class LLMInputOutputAdapter:
"""Adapter class to ... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,889 | When inialztion VertexAI() all passed parameters got ignored | ### System Info
langchain=0.0.194
python=3.11.3
### Who can help?
@hwchase17
@agola11
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Outpu... | https://github.com/langchain-ai/langchain/issues/5889 | https://github.com/langchain-ai/langchain/pull/5891 | 63fcf41bea5222f64b1c9a822f08cec9e55aa619 | 0eb1bc1a0245547316fe96ac8f86b0e67acb524f | 2023-06-08T16:06:31Z | python | 2023-06-09T06:15:22Z | langchain/llms/vertexai.py | """Wrapper around Google VertexAI models."""
from typing import TYPE_CHECKING, Any, Dict, List, Optional
from pydantic import BaseModel, root_validator
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain.llms.base import LLM
from langchain.llms.utils import enforce_stop_tokens
from langcha... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,889 | When inialztion VertexAI() all passed parameters got ignored | ### System Info
langchain=0.0.194
python=3.11.3
### Who can help?
@hwchase17
@agola11
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Outpu... | https://github.com/langchain-ai/langchain/issues/5889 | https://github.com/langchain-ai/langchain/pull/5891 | 63fcf41bea5222f64b1c9a822f08cec9e55aa619 | 0eb1bc1a0245547316fe96ac8f86b0e67acb524f | 2023-06-08T16:06:31Z | python | 2023-06-09T06:15:22Z | langchain/utilities/vertexai.py | """Utilities to init Vertex AI."""
from typing import TYPE_CHECKING, Optional
if TYPE_CHECKING:
from google.auth.credentials import Credentials
def raise_vertex_import_error() -> None:
"""Raise ImportError related to Vertex SDK being not available.
Raises:
ImportError: an ImportError that mentio... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,835 | Support for the AWS endpoint URL in the DynamoDBChatMessageHistory | ### Feature request
I propose having the possibility of specifying the endpoint URL to AWS in the DynamoDBChatMessageHistory, so that it is possible to target not only the AWS cloud services, but also a local installation.
### Motivation
Specifying the endpoint URL, which is normally not done when addressing ... | https://github.com/langchain-ai/langchain/issues/5835 | https://github.com/langchain-ai/langchain/pull/5836 | 0eb1bc1a0245547316fe96ac8f86b0e67acb524f | db7ef635c0e061fcbab2f608ccc60af15fc5585d | 2023-06-07T14:01:56Z | python | 2023-06-09T06:21:11Z | docs/modules/memory/examples/dynamodb_chat_message_history.ipynb | {
"cells": [
{
"cell_type": "markdown",
"id": "91c6a7ef",
"metadata": {},
"source": [
"# Dynamodb Chat Message History\n",
"\n",
"This notebook goes over how to use Dynamodb to store chat message history."
]
},
{
"cell_type": "markdown",
"id": "3f608be0",
"metadata": {},
"s... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,835 | Support for the AWS endpoint URL in the DynamoDBChatMessageHistory | ### Feature request
I propose having the possibility of specifying the endpoint URL to AWS in the DynamoDBChatMessageHistory, so that it is possible to target not only the AWS cloud services, but also a local installation.
### Motivation
Specifying the endpoint URL, which is normally not done when addressing ... | https://github.com/langchain-ai/langchain/issues/5835 | https://github.com/langchain-ai/langchain/pull/5836 | 0eb1bc1a0245547316fe96ac8f86b0e67acb524f | db7ef635c0e061fcbab2f608ccc60af15fc5585d | 2023-06-07T14:01:56Z | python | 2023-06-09T06:21:11Z | langchain/memory/chat_message_histories/dynamodb.py | import logging
from typing import List
from langchain.schema import (
BaseChatMessageHistory,
BaseMessage,
_message_to_dict,
messages_from_dict,
messages_to_dict,
)
logger = logging.getLogger(__name__)
class DynamoDBChatMessageHistory(BaseChatMessageHistory):
"""Chat message history that sto... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,027 | ArxivAPIWrapper | The documentation says:
> It limits the Document content by doc_content_chars_max.
> Set doc_content_chars_max=None if you don't want to limit the content size.
But the claim type of int prevents this to be set as None:
https://github.com/hwchase17/langchain/blob/289e9aeb9d122d689d68b2e77236ce3dfcd606a7... | https://github.com/langchain-ai/langchain/issues/6027 | https://github.com/langchain-ai/langchain/pull/6063 | a9b97aa6f4f0039804014192345f93612fef93be | b01cf0dd54bf078e348471a038842b82db370d66 | 2023-06-12T05:30:46Z | python | 2023-06-16T05:16:42Z | langchain/utilities/arxiv.py | """Util that calls Arxiv."""
import logging
import os
from typing import Any, Dict, List
from pydantic import BaseModel, Extra, root_validator
from langchain.schema import Document
logger = logging.getLogger(__name__)
class ArxivAPIWrapper(BaseModel):
"""Wrapper around ArxivAPI.
To use, you should have th... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,027 | ArxivAPIWrapper | The documentation says:
> It limits the Document content by doc_content_chars_max.
> Set doc_content_chars_max=None if you don't want to limit the content size.
But the claim type of int prevents this to be set as None:
https://github.com/hwchase17/langchain/blob/289e9aeb9d122d689d68b2e77236ce3dfcd606a7... | https://github.com/langchain-ai/langchain/issues/6027 | https://github.com/langchain-ai/langchain/pull/6063 | a9b97aa6f4f0039804014192345f93612fef93be | b01cf0dd54bf078e348471a038842b82db370d66 | 2023-06-12T05:30:46Z | python | 2023-06-16T05:16:42Z | tests/integration_tests/utilities/test_arxiv.py | """Integration test for Arxiv API Wrapper."""
from typing import Any, List
import pytest
from langchain.agents.load_tools import load_tools
from langchain.schema import Document
from langchain.tools.base import BaseTool
from langchain.utilities import ArxivAPIWrapper
@pytest.fixture
def api_client() -> ArxivAPIWrap... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,282 | LLMRequestsChain not enforcing headers when making http requests | ### System Info
LangChain version 0.0.201
### Who can help?
@hwchase17 @agola
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- ... | https://github.com/langchain-ai/langchain/issues/6282 | https://github.com/langchain-ai/langchain/pull/6283 | 23cdebddc446d14b22003819fbe66884b600c998 | 9ca11c06b73f225ff431500e174bf21fa8eb9a33 | 2023-06-16T12:44:22Z | python | 2023-06-16T23:21:01Z | langchain/chains/llm_requests.py | """Chain that hits a URL and then uses an LLM to parse results."""
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import Extra, Field, root_validator
from langchain.callbacks.manager import CallbackManagerForChainRun
from langchain.chains import LLMChain
from langchain.... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,039 | Make modelname_to_contextsize as a staticmethod to use it without create an object | ### Feature request
Make [modelname_to_contextsize](https://github.com/hwchase17/langchain/blob/289e9aeb9d122d689d68b2e77236ce3dfcd606a7/langchain/llms/openai.py#L503) as staticmethod to use it without create an object.
### Motivation
While using ChatOpenAI or AzureChatOpenAI, to use modelname_to_contextsize w... | https://github.com/langchain-ai/langchain/issues/6039 | https://github.com/langchain-ai/langchain/pull/6040 | 427551eabf32e0c9fa4428dcfad5fed86f99bbdf | cdd1d78bf2a383972af15921611a06e7efe53f93 | 2023-06-12T10:23:07Z | python | 2023-06-17T16:13:08Z | langchain/llms/openai.py | """Wrapper around OpenAI APIs."""
from __future__ import annotations
import logging
import sys
import warnings
from typing import (
AbstractSet,
Any,
Callable,
Collection,
Dict,
Generator,
List,
Literal,
Mapping,
Optional,
Set,
Tuple,
Union,
)
from pydantic import E... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 2,698 | Permission Error with PDF loader | I was testing OnlinePDFLoader yesterday iirc and it was working fine. Today I tried experimenting and I keep getting this error
`PermissionError: [Errno 13] Permission denied: 'C:\\Users\\REALGL~1\\AppData\\Local\\Temp\\tmp3chr08y0`
it may be occurring because the `tempfile.NamedTemporaryFile()` in `pdf.py` is st... | https://github.com/langchain-ai/langchain/issues/2698 | https://github.com/langchain-ai/langchain/pull/6170 | 4fc7939848a600064dc20b44e86c19e2cfa01491 | 5be465bd86f940cf831e3a4d2841d92ce8699ffb | 2023-04-11T06:17:16Z | python | 2023-06-18T23:39:57Z | langchain/document_loaders/pdf.py | """Loader that loads PDF files."""
import json
import logging
import os
import tempfile
import time
from abc import ABC
from io import StringIO
from pathlib import Path
from typing import Any, Iterator, List, Mapping, Optional
from urllib.parse import urlparse
import requests
from langchain.docstore.document import D... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,225 | OpenAI functions dont work with async streaming... | ### System Info
Version: 0.0.200
### Who can help?
@hwchase17 , @agola11
- I have a PR ready ... creating an issue so I can pair it
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Pro... | https://github.com/langchain-ai/langchain/issues/6225 | https://github.com/langchain-ai/langchain/pull/6226 | ea6a5b03e077526896071da80530bebb94eb390b | e2f36ee6082506049419875fa4a374f8fa2a88fe | 2023-06-15T13:22:11Z | python | 2023-06-19T00:05:16Z | langchain/chat_models/openai.py | """OpenAI chat wrapper."""
from __future__ import annotations
import logging
import sys
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
List,
Mapping,
Optional,
Tuple,
Union,
)
from pydantic import Field, root_validator
from tenacity import (
before_sleep_log,
retr... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,807 | Issue: Integration tests fail for faiss vector store | ### Issue you'd like to raise.
Integration tests for faiss vector store fail when run.
It appears that the tests are not in sync with the module implementation.
command: poetry run pytest tests/integration_tests/vectorstores/test_faiss.py
Results summary:
===================================================... | https://github.com/langchain-ai/langchain/issues/5807 | https://github.com/langchain-ai/langchain/pull/6281 | ddd518a161f85a89f5c2dc0b8f262aba11cb3869 | 6aa7b04f7978e3783e386fd6714d9e1d44b3f5a2 | 2023-06-07T03:49:08Z | python | 2023-06-19T00:25:49Z | tests/integration_tests/vectorstores/test_faiss.py | """Test FAISS functionality."""
import datetime
import math
import tempfile
import pytest
from langchain.docstore.document import Document
from langchain.docstore.in_memory import InMemoryDocstore
from langchain.docstore.wikipedia import Wikipedia
from langchain.vectorstores.faiss import FAISS
from tests.integration_... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,131 | Azure Cognitive Search Vector Store doesn't apply search_kwargs when performing queries | ### System Info
Langchain 0.0.199
Python 3.10.11
Windows 11 (but will occur on any platform.
### Who can help?
@hwchase17
@ruoccofabrizio
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Promp... | https://github.com/langchain-ai/langchain/issues/6131 | https://github.com/langchain-ai/langchain/pull/6132 | 395a2a3724507bafc7afe9e04ecbae60a7c66c7e | 22862043543e55fa0467c739714230eae3425512 | 2023-06-14T02:08:49Z | python | 2023-06-19T00:39:06Z | langchain/vectorstores/azuresearch.py | """Wrapper around Azure Cognitive Search."""
from __future__ import annotations
import base64
import json
import logging
import uuid
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Tuple,
Type,
)
import numpy as np
from pydantic import BaseModel, ... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 1,829 | UnstructuredURLLoader Error 403 | **Issue:** When trying to read data from some URLs, I get a 403 error during load. I assume this is due to the web-server not allowing all user agents.
**Expected behavior:** It would be great if I could specify a user agent (e.g. standard browsers like Mozilla, maybe also Google bots) for making the URL requests.
... | https://github.com/langchain-ai/langchain/issues/1829 | https://github.com/langchain-ai/langchain/pull/6246 | ca7a44d0242f2de4bbbb3b78942dcb6309487662 | 92f05a67a44c5d2a7a60280d7083cb96f3685371 | 2023-03-20T21:26:40Z | python | 2023-06-19T00:47:00Z | docs/extras/modules/data_connection/document_loaders/integrations/url.ipynb | {
"cells": [
{
"cell_type": "markdown",
"id": "2dfc4698",
"metadata": {},
"source": [
"# URL\n",
"\n",
"This covers how to load HTML documents from a list of URLs into a document format that we can use downstream."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "16c36... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,079 | Issue: Can't load a public webpage | ### I want to load in the webpage below.
Hi,
Trying to extract some webpage using webbaseloader:
"""
loader = WebBaseLoader("https://researchadmin.asu.edu/)
data = loader.load()
"""
But gives the following error:
SSLError: HTTPSConnectionPool(host='researchadmin.asu.edu', port=443): Max retries exceeded with ... | https://github.com/langchain-ai/langchain/issues/6079 | https://github.com/langchain-ai/langchain/pull/6248 | 92f05a67a44c5d2a7a60280d7083cb96f3685371 | ba90e3c990d21128c67a0ca07e3261a38e579853 | 2023-06-13T05:40:52Z | python | 2023-06-19T00:47:10Z | docs/extras/modules/data_connection/document_loaders/integrations/web_base.ipynb | {
"cells": [
{
"cell_type": "markdown",
"id": "bf920da0",
"metadata": {},
"source": [
"# WebBaseLoader\n",
"\n",
"This covers how to use `WebBaseLoader` to load all text from `HTML` webpages into a document format that we can use downstream. For more custom logic for loading webpages look at ... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,483 | [SSL: CERTIFICATE_VERIFY_FAILED] while load from SitemapLoader | ### System Info
langchain: 0.0.181
platform: windows
python: 3.11.3
### Who can help?
@eyurtsev
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Pr... | https://github.com/langchain-ai/langchain/issues/5483 | https://github.com/langchain-ai/langchain/pull/6256 | 10bff4ecc420317a86043a8f0287363618be77e6 | b2b9ded12facf3ae205eb4b1cbb455eca6af8977 | 2023-05-31T07:52:33Z | python | 2023-06-19T01:34:18Z | langchain/document_loaders/web_base.py | """Web base loader class."""
import asyncio
import logging
import warnings
from typing import Any, Dict, List, Optional, Union
import aiohttp
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
default_header_te... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,431 | ChatPromptTemplate with partial variables is giving validation error | ### System Info
langchain-0.0.205, python3.10
### Who can help?
@hwchase17 @agola11
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Par... | https://github.com/langchain-ai/langchain/issues/6431 | https://github.com/langchain-ai/langchain/pull/6456 | 02c0a1e77eb9636850c8c29da33885a32b4cc2eb | 6efd5fa2b9d46c7b4db6ad638097f010b745f0cc | 2023-06-19T16:15:49Z | python | 2023-06-20T05:08:15Z | langchain/prompts/chat.py | """Chat prompt template."""
from __future__ import annotations
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Any, Callable, List, Sequence, Tuple, Type, TypeVar, Union
from pydantic import Field, root_validator
from langchain.load.serializable import Serializable
from langchain.memo... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,431 | ChatPromptTemplate with partial variables is giving validation error | ### System Info
langchain-0.0.205, python3.10
### Who can help?
@hwchase17 @agola11
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Par... | https://github.com/langchain-ai/langchain/issues/6431 | https://github.com/langchain-ai/langchain/pull/6456 | 02c0a1e77eb9636850c8c29da33885a32b4cc2eb | 6efd5fa2b9d46c7b4db6ad638097f010b745f0cc | 2023-06-19T16:15:49Z | python | 2023-06-20T05:08:15Z | tests/unit_tests/prompts/test_chat.py | from pathlib import Path
from typing import List
import pytest
from langchain.prompts import PromptTemplate
from langchain.prompts.chat import (
AIMessagePromptTemplate,
BaseMessagePromptTemplate,
ChatMessagePromptTemplate,
ChatPromptTemplate,
ChatPromptValue,
HumanMessagePromptTemplate,
S... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,380 | Neo4J schema not inferred correctly by Neo4JGraph Object | ### System Info
langchain=0.0.2
### Who can help?
@hwchase17
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document Loa... | https://github.com/langchain-ai/langchain/issues/6380 | https://github.com/langchain-ai/langchain/pull/6381 | b0d80c4b3e128f27bd1b9df48ed4afbe17950fec | 22601b0b6323e6465f78ca9bc16152062a2b65ba | 2023-06-18T19:19:04Z | python | 2023-06-20T05:48:35Z | langchain/graphs/neo4j_graph.py | from typing import Any, Dict, List
node_properties_query = """
CALL apoc.meta.data()
YIELD label, other, elementType, type, property
WHERE NOT type = "RELATIONSHIP" AND elementType = "node"
WITH label AS nodeLabels, collect({property:property, type:type}) AS properties
RETURN {labels: nodeLabels, properties: propertie... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,380 | Neo4J schema not inferred correctly by Neo4JGraph Object | ### System Info
langchain=0.0.2
### Who can help?
@hwchase17
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document Loa... | https://github.com/langchain-ai/langchain/issues/6380 | https://github.com/langchain-ai/langchain/pull/6381 | b0d80c4b3e128f27bd1b9df48ed4afbe17950fec | 22601b0b6323e6465f78ca9bc16152062a2b65ba | 2023-06-18T19:19:04Z | python | 2023-06-20T05:48:35Z | tests/integration_tests/chains/test_graph_database.py | """Test Graph Database Chain."""
import os
from langchain.chains.graph_qa.cypher import GraphCypherQAChain
from langchain.chains.loading import load_chain
from langchain.graphs import Neo4jGraph
from langchain.llms.openai import OpenAI
def test_connect_neo4j() -> None:
"""Test that Neo4j database is correctly in... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,234 | Gmail toolkit cannot handle sending email to one person correctly | ### System Info
Gmail toolkit cannot handle sending email to one person correctly - if I want to send email to one person it doesn't consider that `action_input` should look like:
```
{
...
to: ["email@gmail.com"]
...
}
```
Instead it look like:
```
{
...
to: "email@gmail.com"
... | https://github.com/langchain-ai/langchain/issues/6234 | https://github.com/langchain-ai/langchain/pull/6242 | 94c789925798053c08ad8cc262b23f2683abd4d2 | 5d149e4d50325d2821263e59bac667f781c48f7a | 2023-06-15T15:30:50Z | python | 2023-06-21T08:25:49Z | langchain/tools/gmail/send_message.py | """Send Gmail messages."""
import base64
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,118 | Issue: Update OpenAI model token mapping to reflect new API update 2023-06-13 | ### Issue you'd like to raise.
The blog post here
https://openai.com/blog/function-calling-and-other-api-updates
specifies
> - new 16k context version of gpt-3.5-turbo (vs the standard 4k version)
The `langchain/llms/openai.py` `model_token_mapping` should be changed to reflect this.
### Suggestion:
Add `... | https://github.com/langchain-ai/langchain/issues/6118 | https://github.com/langchain-ai/langchain/pull/6122 | 5d149e4d50325d2821263e59bac667f781c48f7a | e0f468f6c1f7f07bb3987f0887d53ce9af92bb29 | 2023-06-13T21:22:21Z | python | 2023-06-21T08:37:16Z | langchain/llms/openai.py | """Wrapper around OpenAI APIs."""
from __future__ import annotations
import logging
import sys
import warnings
from typing import (
AbstractSet,
Any,
Callable,
Collection,
Dict,
Generator,
List,
Literal,
Mapping,
Optional,
Set,
Tuple,
Union,
)
from pydantic import F... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,456 | Tools: Inconsistent callbacks/run_manager parameter | ### System Info
MacOS Ventura 13.3.1 (a)
python = "^3.9"
langchain = "0.0.185"
### Who can help?
@agola11 @vowelparrot
### Related Components
- Agents / Agent Executors
- Tools / Toolkits
- Callbacks/Tracing
### Reproduction
I want to use the CallbackManager to save some info within a tool. So,... | https://github.com/langchain-ai/langchain/issues/5456 | https://github.com/langchain-ai/langchain/pull/6483 | b4fe7f3a0995cc6a0111a7e71347eddf2d61f132 | 980c8651743b653f994ad6b97a27b0fa31ee92b4 | 2023-05-30T17:09:02Z | python | 2023-06-23T08:48:27Z | langchain/tools/base.py | """Base implementation for tools or skills."""
from __future__ import annotations
import warnings
from abc import ABC, abstractmethod
from inspect import signature
from typing import Any, Awaitable, Callable, Dict, Optional, Tuple, Type, Union
from pydantic import (
BaseModel,
Extra,
Field,
create_mod... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 5,456 | Tools: Inconsistent callbacks/run_manager parameter | ### System Info
MacOS Ventura 13.3.1 (a)
python = "^3.9"
langchain = "0.0.185"
### Who can help?
@agola11 @vowelparrot
### Related Components
- Agents / Agent Executors
- Tools / Toolkits
- Callbacks/Tracing
### Reproduction
I want to use the CallbackManager to save some info within a tool. So,... | https://github.com/langchain-ai/langchain/issues/5456 | https://github.com/langchain-ai/langchain/pull/6483 | b4fe7f3a0995cc6a0111a7e71347eddf2d61f132 | 980c8651743b653f994ad6b97a27b0fa31ee92b4 | 2023-05-30T17:09:02Z | python | 2023-06-23T08:48:27Z | tests/unit_tests/tools/test_base.py | """Test the base tool implementation."""
import json
from datetime import datetime
from enum import Enum
from functools import partial
from typing import Any, Optional, Type, Union
import pytest
from pydantic import BaseModel
from langchain.agents.tools import Tool, tool
from langchain.callbacks.manager import (
... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,610 | ChatVertexAI Error: _ChatSessionBase.send_message() got an unexpected keyword argument 'context' | ### System Info
langchain version: 0.0.209
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ]... | https://github.com/langchain-ai/langchain/issues/6610 | https://github.com/langchain-ai/langchain/pull/6652 | c2b25c17c5c8d35a7297f665f2327b9671855898 | 9e52134d30203a9125532621abcd5a102e3f2bfb | 2023-06-22T20:56:38Z | python | 2023-06-23T20:38:21Z | langchain/chat_models/vertexai.py | """Wrapper around Google VertexAI chat-based models."""
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional
from pydantic import root_validator
from langchain.callbacks.manager import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain.chat_models.base... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,582 | Typo | ### System Info
latest version
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document Lo... | https://github.com/langchain-ai/langchain/issues/6582 | https://github.com/langchain-ai/langchain/pull/6595 | f6fdabd20b3b14f8728f8c74d9711322400f9369 | ba256b23f241e1669536f7e70c6365ceba7a9cfa | 2023-06-22T09:34:08Z | python | 2023-06-23T21:56:54Z | langchain/vectorstores/weaviate.py | """Wrapper around weaviate vector database."""
from __future__ import annotations
import datetime
from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, Type
from uuid import uuid4
import numpy as np
from langchain.docstore.document import Document
from langchain.embeddings.base import Embeddings
f... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,472 | DOC: Incorrect type for tags parameter in MLflow callback | ### Issue with current documentation:
In the documentation the tag type is string, but in the code it's a dictionary.
The proposed fix is to change the following two lines "tags (str):" to "tags (dict):".
https://github.com/hwchase17/langchain/blob/7414e9d19603c962063dd337cdcf3c3168d4b8be/langchain/callbacks/mlf... | https://github.com/langchain-ai/langchain/issues/6472 | https://github.com/langchain-ai/langchain/pull/6473 | 9187d2f3a97abc6d89daea9b5abfa652a425e1de | fe941cb54a80976bfc7575ce59a518ae428801ee | 2023-06-20T09:57:57Z | python | 2023-06-26T09:12:23Z | langchain/callbacks/mlflow_callback.py | import random
import string
import tempfile
import traceback
from copy import deepcopy
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from langchain.callbacks.base import BaseCallbackHandler
from langchain.callbacks.utils import (
BaseMetadataCallbackHandler,
flatten_dict,
has... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,756 | Recent tags change causes AttributeError: 'str' object has no attribute 'value' on initialize_agent call | ### System Info
- Langchain: 0.0.215
- Platform: ubuntu
- Python 3.10.12
### Who can help?
@vowelparrot
https://github.com/hwchase17/langchain/blob/d84a3bcf7ab3edf8fe1d49083e066d51c9b5f621/langchain/agents/initialize.py#L54
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modifie... | https://github.com/langchain-ai/langchain/issues/6756 | https://github.com/langchain-ai/langchain/pull/6765 | ba622764cb7ccf4667878289f959857348ef8c19 | 6d30acffcbea5807835839585132d3946bb81661 | 2023-06-26T11:00:29Z | python | 2023-06-26T16:28:11Z | langchain/agents/initialize.py | """Load agent."""
from typing import Any, Optional, Sequence
from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_types import AgentType
from langchain.agents.loading import AGENT_TO_CLASS, load_agent
from langchain.base_language import BaseLanguageModel
from langchain.callbacks.base import Bas... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,756 | Recent tags change causes AttributeError: 'str' object has no attribute 'value' on initialize_agent call | ### System Info
- Langchain: 0.0.215
- Platform: ubuntu
- Python 3.10.12
### Who can help?
@vowelparrot
https://github.com/hwchase17/langchain/blob/d84a3bcf7ab3edf8fe1d49083e066d51c9b5f621/langchain/agents/initialize.py#L54
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modifie... | https://github.com/langchain-ai/langchain/issues/6756 | https://github.com/langchain-ai/langchain/pull/6765 | ba622764cb7ccf4667878289f959857348ef8c19 | 6d30acffcbea5807835839585132d3946bb81661 | 2023-06-26T11:00:29Z | python | 2023-06-26T16:28:11Z | tests/unit_tests/agents/test_initialize.py | |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 4,833 | Arbitrary code execution in JiraAPIWrapper | ### System Info
LangChain version:0.0.171
windows 10
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selector... | https://github.com/langchain-ai/langchain/issues/4833 | https://github.com/langchain-ai/langchain/pull/6992 | 61938a02a1e76fa6c6e8203c98a9344a179c810d | a2f191a32229256dd41deadf97786fe41ce04cbb | 2023-05-17T04:11:40Z | python | 2023-07-05T19:56:01Z | langchain/tools/jira/prompt.py | # flake8: noqa
JIRA_ISSUE_CREATE_PROMPT = """
This tool is a wrapper around atlassian-python-api's Jira issue_create API, useful when you need to create a Jira issue.
The input to this tool is a dictionary specifying the fields of the Jira issue, and will be passed into atlassian-python-api's Jira `issue_creat... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 4,833 | Arbitrary code execution in JiraAPIWrapper | ### System Info
LangChain version:0.0.171
windows 10
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selector... | https://github.com/langchain-ai/langchain/issues/4833 | https://github.com/langchain-ai/langchain/pull/6992 | 61938a02a1e76fa6c6e8203c98a9344a179c810d | a2f191a32229256dd41deadf97786fe41ce04cbb | 2023-05-17T04:11:40Z | python | 2023-07-05T19:56:01Z | langchain/utilities/jira.py | """Util that calls Jira."""
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Extra, root_validator
from langchain.tools.jira.prompt import (
JIRA_CATCH_ALL_PROMPT,
JIRA_CONFLUENCE_PAGE_CREATE_PROMPT,
JIRA_GET_ALL_PROJECTS_PROMPT,
JIRA_ISSUE_CREATE_PROMPT,
JIRA_JQL_PROMP... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 4,833 | Arbitrary code execution in JiraAPIWrapper | ### System Info
LangChain version:0.0.171
windows 10
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selector... | https://github.com/langchain-ai/langchain/issues/4833 | https://github.com/langchain-ai/langchain/pull/6992 | 61938a02a1e76fa6c6e8203c98a9344a179c810d | a2f191a32229256dd41deadf97786fe41ce04cbb | 2023-05-17T04:11:40Z | python | 2023-07-05T19:56:01Z | tests/integration_tests/utilities/test_jira_api.py | """Integration test for JIRA API Wrapper."""
from langchain.utilities.jira import JiraAPIWrapper
def test_search() -> None:
"""Test for Searching issues on JIRA"""
jql = "project = TP"
jira = JiraAPIWrapper()
output = jira.run("jql", jql)
assert "issues" in output
def test_getprojects() -> None:... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,365 | PromptLayerChatOpenAI does not support the newest function calling feature | ### System Info
Python Version: 3.11
Langchain Version: 0.0.209
### Who can help?
@hwchase17 @agola11
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates... | https://github.com/langchain-ai/langchain/issues/6365 | https://github.com/langchain-ai/langchain/pull/6366 | e0cb3ea90c1f8ec26957ffca65c6e451d444c69d | 09acbb84101bc6df373ca5a1d6c8d212bd3f577f | 2023-06-18T13:00:32Z | python | 2023-07-06T17:16:04Z | langchain/chat_models/promptlayer_openai.py | """PromptLayer wrapper."""
import datetime
from typing import Any, List, Mapping, Optional
from langchain.callbacks.manager import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain.chat_models import ChatOpenAI
from langchain.schema import ChatResult
from langchain.schema.messages imp... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 7,283 | anthropic_version = packaging.version.parse(version("anthropic")) AttributeError: module 'packaging' has no attribute 'version' | ### System Info
When I initialise ChatAnthropic(), it got the error:
anthropic_version = packaging.version.parse(version("anthropic"))
AttributeError: module 'packaging' has no attribute 'version'
### Who can help?
@hwchase17 @agola11
### Information
- [ ] The official example notebooks/scripts
- [ ] My own mo... | https://github.com/langchain-ai/langchain/issues/7283 | https://github.com/langchain-ai/langchain/pull/7306 | d642609a23219b1037f84492c2bc56777e90397a | bac56618b43912acf4970d72d2497507eb14ceb1 | 2023-07-06T15:35:39Z | python | 2023-07-06T23:35:42Z | langchain/llms/anthropic.py | """Wrapper around Anthropic APIs."""
import re
import warnings
from importlib.metadata import version
from typing import Any, Callable, Dict, Generator, List, Mapping, Optional
import packaging
from pydantic import BaseModel, root_validator
from langchain.callbacks.manager import (
AsyncCallbackManagerForLLMRun,
... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 7,472 | Pinecone: Support starter tier | ### Feature request
Adapt the pinecone vectorstore to support upcoming starter tier. The changes are related to removing namespaces and `delete by metadata` feature.
### Motivation
Indexes in upcoming Pinecone V4 won't support:
* namespaces
* `configure_index()`
* delete by metadata
* `describe_index()` ... | https://github.com/langchain-ai/langchain/issues/7472 | https://github.com/langchain-ai/langchain/pull/7473 | 5debd5043e61d29efea661c20818b48a0f39e5a6 | 9d13dcd17c2dfab8f087bcc37e99f1181dfe5c63 | 2023-07-10T10:19:16Z | python | 2023-07-10T15:39:47Z | langchain/vectorstores/pinecone.py | """Wrapper around Pinecone vector database."""
from __future__ import annotations
import logging
import uuid
from typing import Any, Callable, Iterable, List, Optional, Tuple
import numpy as np
from langchain.docstore.document import Document
from langchain.embeddings.base import Embeddings
from langchain.vectorstor... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 7,472 | Pinecone: Support starter tier | ### Feature request
Adapt the pinecone vectorstore to support upcoming starter tier. The changes are related to removing namespaces and `delete by metadata` feature.
### Motivation
Indexes in upcoming Pinecone V4 won't support:
* namespaces
* `configure_index()`
* delete by metadata
* `describe_index()` ... | https://github.com/langchain-ai/langchain/issues/7472 | https://github.com/langchain-ai/langchain/pull/7473 | 5debd5043e61d29efea661c20818b48a0f39e5a6 | 9d13dcd17c2dfab8f087bcc37e99f1181dfe5c63 | 2023-07-10T10:19:16Z | python | 2023-07-10T15:39:47Z | tests/integration_tests/vectorstores/test_pinecone.py | import importlib
import os
import uuid
from typing import List
import pinecone
import pytest
from langchain.docstore.document import Document
from langchain.embeddings import OpenAIEmbeddings
from langchain.vectorstores.pinecone import Pinecone
index_name = "langchain-test-index" # name of the index
namespace_name ... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 7,569 | Issue: Document loader for Notion DB doesn't supports some properties | ### Issue you'd like to raise.
Current version of document loader for Notion DB doesn't supports following properties for metadata
- `unique_id`
- https://www.notion.so/help/unique-id
- `status`
- https://www.notion.so/help/guides/status-property-gives-clarity-on-tasks
- `people`
- useful property when y... | https://github.com/langchain-ai/langchain/issues/7569 | https://github.com/langchain-ai/langchain/pull/7570 | 5f17c57174c88e8c00bd71216dcf44b14fee7aaf | 3f7213586e5fc5222fe6b6c889aa50776cd1c988 | 2023-07-12T00:02:03Z | python | 2023-07-12T07:34:54Z | langchain/document_loaders/notiondb.py | """Notion DB loader for langchain"""
from typing import Any, Dict, List, Optional
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
NOTION_BASE_URL = "https://api.notion.com/v1"
DATABASE_URL = NOTION_BASE_URL + "/databases/{database_id}/query"
PA... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 7,571 | AmazonKendraRetriever "Could not load credentials" error in latest release | ### System Info
LangChain version: 0.0.229
Platform: AWS Lambda execution
Python version: 3.9
I get the following error when creating the AmazonKendraRetriever using LangChain version 0.0.229.
Code to create retriever:
`retriever = AmazonKendraRetriever(index_id=kendra_index)`
Error:
```[ERROR] Validat... | https://github.com/langchain-ai/langchain/issues/7571 | https://github.com/langchain-ai/langchain/pull/7629 | 0e1d7a27c62b15fba6bcafc5f8ac996d57e0b1d3 | f11d845dee355709b41dec36dcc7c74f7b90c7ec | 2023-07-12T00:16:40Z | python | 2023-07-13T03:47:35Z | langchain/retrievers/kendra.py | import re
from typing import Any, Dict, List, Literal, Optional
from pydantic import BaseModel, Extra, root_validator
from langchain.callbacks.manager import (
AsyncCallbackManagerForRetrieverRun,
CallbackManagerForRetrieverRun,
)
from langchain.docstore.document import Document
from langchain.schema import B... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,370 | Sliding window of intermediate actions for agents | ### Feature request
Allow tweaking with the history window / intermediate actions that are being sent to the LLM:
* Send a sliding window if N last actions
* Only send a specific snapshot (can be useful for code generation tasks - for example where the agent needs to perfect the code until it works).
### Motivation... | https://github.com/langchain-ai/langchain/issues/6370 | https://github.com/langchain-ai/langchain/pull/6476 | 92ef77da3523f051cf17a854b2e5c2c767bbf64f | a8bbfb2da3f8c28869b12c8a9bb21209b0d03089 | 2023-06-18T15:56:26Z | python | 2023-07-13T06:09:25Z | langchain/agents/agent.py | """Chain that takes in an input and produces an action and action input."""
from __future__ import annotations
import asyncio
import json
import logging
import time
from abc import abstractmethod
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
import yaml
from p... |
closed | langchain-ai/langchain | https://github.com/langchain-ai/langchain | 6,768 | Can't use memory for an internal LLMChain inside a SequentialChain | ### System Info
Langchain 0.0.214
Python 3.11.1
### Who can help?
@hwchase17
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
-... | https://github.com/langchain-ai/langchain/issues/6768 | https://github.com/langchain-ai/langchain/pull/6769 | 488d2d5da95a2bacdca3d1623d862ac5ab28d59e | f307ca094b0d175d71ac424eba3d9f7ef5fc44f1 | 2023-06-26T16:09:11Z | python | 2023-07-13T06:47:44Z | langchain/chains/sequential.py | """Chain pipeline where the outputs of one step feed directly into next."""
from typing import Any, Dict, List, Optional
from pydantic import Extra, root_validator
from langchain.callbacks.manager import (
AsyncCallbackManagerForChainRun,
CallbackManagerForChainRun,
)
from langchain.chains.base import Chain
f... |
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