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In my problem statement I am defining multiple tools which are all based on retrieval chain and I am using OpenAiAgent as the agent to call this tools.
So when I am running a query it invokes to a single vectorstore. But I need my agent to access different vectorstores if the answer is... | {
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-------
There are two approaches to integrate PromptGuard with a LangChain application.
1. PromptGuardLLMWrapper
2. functions that can be used in LangChain expression.
-----
- Dependencies
`promptguard` python package, which is a runtime requirement if you'd try out the demo.
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Name: langchain
Version: 0.0.268
Python 3.10.10
### Who can help?
@hwchase17
@agola11
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Select... | {
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Fixes a bug from #7850 where post processing functions in Unstructured loaders were not apply. Adds a assertion to the test to verify the post processing function was applied and also updates the explanation in the example notebook. | {
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Replace this entire comment with:
- Description: a description of the change,
- Issue: the issue # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
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"url... | closed | false | null | [] | null | 2 | 2023-08-18T19:06:57 | 2023-08-20T02:02:13 | 2023-08-20T02:02:12 | COLLABORATOR | null | This updates the default configuration since I think it's almost always what we
want to happen. But we should evaluate whether there are any issues.
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Langchain 0.0.264
sqlalchemy 1.4.39
Platform mac os ventura 13.2.1
Python 3.11.4
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Pro... | {
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Found while debugging something else with @nfcampos. | {
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- There's no long-lived pub... | {
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In the interest of interop., I've changed to the of use `wkt` propert... | {
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- Uniformed the current valid suffixes (file formats) for loading agents from hubs and files (to better handle future additions);
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@danhnn I couldn't commit to your PR, so I created a new one. Thanks for your contribution!
@baskaryan Could you please merge it? | {
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I propose an enhancement to the pgvector functionality: the addition of an update feature in [pgvector.py](https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/vectorstores/pgvector.py). As it stands, the code only seems to allow for the addition of new embeddings. I belie... | {
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... | closed | false | null | [] | null | 5 | 2023-08-18T16:52:56 | 2024-01-11T07:32:13 | 2023-08-20T02:02:29 | CONTRIBUTOR | null | The following code throws ```langchain.schema.output_parser.OutputParserException``` 90% of the time:
```python
model = ChatOpenAI(model='gpt-4-0613') # code generation on gpt-3.5 isn't strong enough
prompt = ChatPromptTemplate(messages=[
SystemMessagePromptTemplate.from_template("Write code to so... | {
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- Dependencies: inspect
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... | closed | false | null | [] | null | 4 | 2023-08-18T15:54:11 | 2023-08-18T22:23:26 | 2023-08-18T22:23:26 | NONE | null | ### System Info
I am playing around with tools in LangChain, but I am running into an issue where the output of the model is not a `FunctionMessage` type even though the LLM is making a function call. For example in this code below
```python
# Import libraries
from langchain.chat_models import ChatOpenAI
from l... | {
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... | closed | false | null | [] | null | 3 | 2023-08-18T15:49:00 | 2023-08-18T16:55:34 | 2023-08-18T16:55:34 | COLLABORATOR | null | Ternary operators in GitHub Actions syntax are pretty ugly and hard to read: `inputs.working-directory == '' && '.' || inputs.working-directory` means "if the condition is true, use `'.'` and otherwise use the expression after the `||`".
This PR performs the ternary as few times as possible, assigning its outcome to a... | {
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I got this error from on my office laptop
OS: Win 10
I checked AzureAI key, url, deployment and model names. No problem about that.
This guy having same issue with me : https://stackoverflow.com/questions/76750207/azureopenai-not-available-in-langchain
I deleted "import openai" part but no ch... | {
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In the Async mode, SequentialChain implementation seems to run the same callbacks over and over since it is re-using the same callbacks object.
Langchain version: 0.0.264, master
The implementation of this aysnc route differs from the sync route and ... | {
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Hello!
I wrote a code that is very similar to this one
https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] ... | {
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... | closed | false | null | [] | null | 2 | 2023-08-18T14:14:55 | 2023-08-18T14:26:39 | 2023-08-18T14:26:38 | COLLABORATOR | null | Only lint on the min and max supported Python versions.
It's extremely unlikely that there's a lint issue on any version in between that doesn't show up on the min or max versions.
GitHub rate-limits how many jobs can be running at any one time. Starting new jobs is also relatively slow, so linting on fewer versions ... | {
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... | closed | false | null | [] | null | 2 | 2023-08-18T13:49:38 | 2023-11-24T16:06:19 | 2023-11-24T16:06:18 | NONE | null | ### Feature request
For the chains in libs/langchain/langchain/chains/summarize, it might be useful to add to the prompt something like:
"Try to limit the summary to {length} words", and set the length as an input parameter. So that we can have some influence over the length of the output summary.
I know that m... | {
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- Dependencies: given that the notebook utilizes the MemgraphGraph class, it relies on both this ... | {
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- Description: Fix a dead loop bug caused by assigning two variables with opposite values.
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I use Python 3.10.12 and langchain 0.0.262.
Using a chroma vector database within langchain, I encounter different behaviors between the .get() and .peek() methods. Specifically, when I use .get(), the embeddings field appears as None. However, when I use .peek(), the embeddings field is complete.
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### Environment:
Google COLAB project. When running `!cat /etc/os-release` it prints:
```
PRETTY_NAME="Ubuntu 22.04.2 LTS"
NAME="Ubuntu"
VERSION_ID="22.04"
VERSION="22.04.2 LTS (Jammy Jellyfish)"
VERSION_CODENAME=jammy
ID=ubuntu
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LangChain 0.0.267, Python 3.10, Poetry virtualenv, Pop_OS 22.04
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@agola11
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- [X] My own modified scripts
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Replace this entire comment with:
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- Issue: the issue # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
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Hi everyone, I'm trying to deploy and use langsmith locally.
I deployed in a docker container using
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langsmith start --expose --openai-api-key=<my azure OpenAi key>
```
the docker container looks good
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langchain version: 0.0.267
### Who can help?
@hwaking @agola11
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- [ ] Embedding Models
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Hello, I'm trying to run langsmith locally, together with Azure OpenAi services.
I started langsmith in docker and it looks like below

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When we're loading documents using `ConfluenceLoader`:`load` function and, if both `include_comments=True` and `keep_markdown_format=True`, we're getting an error saying `NameError: free variable 'BeautifulSoup' referenced before assignment in enclosing scope`.
loader = ConfluenceLoader(url=... | {
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I only want to use "question" for "page_content" to retrieve, because if I merge "question" and "answer" into "page_content", it will be noise to retrieve.
I have an idea that after retrieving:
- I will... | {
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Was trying my hand at LangSmith as well, and while navigating found this 404 error. Am replacing the link with the working link.
Interacti... | {
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A lot of new dependents and more starts. | {
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This PR should allow for `on_llm_end` callback execution, during LLM streaming even if the stream is not fully exhausted.
Currently this doesn't happen, but I believe this case should definitely be supported as not fully exhausting the stream can save valuable tokens.
# Dependencies
None
# T... | {
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... | open | false | null | [] | null | 5 | 2023-08-17T20:54:45 | 2023-12-13T21:01:45 | null | NONE | null | ### System Info
Version 0.0.266, all
### Who can help?
@hwchase17
### Information
- [X] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Documen... | {
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- updated the top-level descriptions to a consistent format;
- changed the format of several 100% internal functions from "name" to "_name". So, these functions are not shown in the Top-level API Reference page (with lists of classes/functions)
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I do not have access to huggingface.co in my environment, but I do have the Instructor model (hkunlp/instructor-large) saved locally. How do I utilize the langchain function HuggingFaceInstructEmbeddings to point to a local model?
I tried the below code but received an error:
```
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Windows 10
Python 3.9.7
langchain 0.0.236
### Who can help?
@hwchase17 @agola11 I have problem to make work together MultiPromptChain and AgentExecutor. Problem actually is trivial MultiPromptChain.destination_chains has type of Mapping[str, LLMChain] and AgentExecutor did not fit in this definitio... | {
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... | closed | false | null | [] | null | 1 | 2023-08-17T18:50:46 | 2023-08-20T23:40:16 | 2023-08-20T23:40:16 | CONTRIBUTOR | null | Description: Updating documentation to add AmazonTextractPDFLoader according to [comment](https://github.com/langchain-ai/langchain/pull/8661#issuecomment-1666572992) from [baskaryan](https://github.com/baskaryan)
Adding one notebook and instructions to the modules/data_connection/document_loaders/pdf.mdx
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Around a ~20s win, 21s -> 2s. Most cases should be close to this best case scenario, since most PRs don't modify most files — and this PR makes sure we don't re-check files that haven't changed.
Before:
 you MUST specify `skip_on_failure=True`. Note that `@root_validator` is deprecated and should be replaced with `@model_validator`.
>
> For further information vis... | {
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... | closed | false | null | [] | null | 1 | 2023-08-17T17:00:22 | 2023-08-17T22:23:02 | 2023-08-17T22:23:01 | COLLABORATOR | null | Using `poetry add` to install `pydantic@2.1` was also causing poetry to change its lockfile. This prevented dependency caching from working:
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It's OK if it missed some annotations, we just don't want it to get annotations wrong at this stage.
I'll do a few more passes over the same files!
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Approximately a 1min perf win for CI.
Before:

After:

Such as the document above, the metad... | {
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"node_... | open | false | null | [] | null | 5 | 2023-08-17T14:40:07 | 2023-10-29T10:11:10 | null | NONE | null | ### Issue you'd like to raise.
I'm trying to use a `ConversationalRetrievalChain` along with a `ConversationBufferMemory` and `return_source_documents` set to `True`. The problem is that, under this setting, I get an error when I call the overall chain.
```
from langchain.chains import ConversationalRetrievalCha... | {
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I'm running the executor off a flask backend, and when the answer from the llm to my number is POSTED, strangely, the agent begins to talk to itself, with seemingly no human message. I store all the messages within the executor's memory, and this is the error that it throws:
2023-08-17 14:05:05.1226... | {
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@hwchase17
@agola11
Trying to implement https://python.langchain.com/docs/guides/fallbacks into our current environment that is using LLMChain, but when I pass in the fallback llm into the LLMChain, it throws the following error:
`**ValidationError: 1 validation error for LLMChain**
llm
Ca... | {
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... | closed | false | null | [] | null | 2 | 2023-08-17T14:05:13 | 2023-08-23T19:07:09 | 2023-08-23T19:07:08 | COLLABORATOR | null | <!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- Description: a description of the change,
- Issue: the issue # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
- Tag maintainer: for a quicker response, tag the relevant maintainer (see... | {
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I am using Agent with OpenAI.Functions and have a Structured Tool:
```
class SearchSchema(BaseModel):
"""Inputs for get_current_stock_price"""
country_filter: Optional[str] = Field(default="United Kingdom", description="The country for events")
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"url... | closed | false | null | [] | null | 1 | 2023-08-17T12:55:27 | 2023-08-17T19:24:09 | 2023-08-17T19:24:09 | CONTRIBUTOR | null | Refactored code to ensure consistent handling of ImportError. Replaced instances of raising ValueError with raising ImportError.
The choice of raising a ValueError here is somewhat unconventional and might lead to confusion for anyone reading the code. Typically, when dealing with import-related errors, the recommen... | {
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https://python.langchain.com/docs/use_cases/more/code_writing/pal
### Idea or request for content:
fix the import | {
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"id": 56... | closed | false | null | [] | null | 2 | 2023-08-17T11:39:26 | 2023-10-17T07:46:48 | 2023-10-17T07:46:48 | CONTRIBUTOR | null | ### Feature request
Support Max marginal relevance on the clientside. Other vectorstores use the langchain lib to do re-ranking on clientside. add `fetch_k` to gather number of candidates to be retrieved. honour `k` to return only x number of documents.
### Motivation
Support a diverse set of results
### Your co... | {
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@baskaryan @hwchase17 | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9382 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9382/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9382/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9382/events | https://github.com/langchain-ai/langchain/pull/9382 | 1,854,739,807 | PR_kwDOIPDwls5YJNgF | 9,382 | Update pydantic_compatibility.md | {
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Replace this entire comment with:
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I'm learning LangChain and I believe is that an issue of the Agent but I'm not sure.
The model I'm using is the `llama-2-7b-chat-hf`
```python
from langchain.llms import HuggingFaceTextGenInference
from langchain.agents import load_tools, initialize_agent
from langchain.agents... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9380 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9380/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9380/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9380/events | https://github.com/langchain-ai/langchain/pull/9380 | 1,854,654,530 | PR_kwDOIPDwls5YI6nX | 9,380 | fixed spelling mistake and added missing bracket in parent_document_r… | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9379 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9379/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9379/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9379/events | https://github.com/langchain-ai/langchain/issues/9379 | 1,854,651,803 | I_kwDOIPDwls5ui72b | 9,379 | DOC: Little error in the Chroma integration documentation | {
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Hello! I'm currently developing using LangChain and Chroma and I've stumbled upon this line:
`View full [docs](https://docs.trychroma.com/reference/Collection) at docs. To access these methods directly, you can do ._collection_.method()`
Instead, you have to do `._collection.m... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9377 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9377/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9377/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9377/events | https://github.com/langchain-ai/langchain/pull/9377 | 1,854,621,967 | PR_kwDOIPDwls5YIzRz | 9,377 | Corrected Sentence in router.ipynb | {
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I want to stress that your feedback is invaluable to us and is genuinely cherished.
With gratitude,
@baskaryan @hwchase17 | {
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### Description:
I am using the `StructuredTool` function to register a custom tool, and I've encountered a problem with nested Pydantic Models in the `args_schema` parameter.
### Problem:
When registering a function with a nested Pydantic Model in the `args_schema`, only the first outer layer of ... | {
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Hi everybody, I am using langchain and I want to use new feature "function_calling" of openai. Actually, my app worked when I add functions and function_call params into function apredict_message. But I want to use stream, currently when I add function_calling into my call (with stream =... | {
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@baskaryan , @hinthornw , @hwchase17 | {
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@baskaryan @hwchase17 @hinthornw | {
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