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I am not getting output as per prompt, what is neccessary modification or changes i need to do.
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404 page: https://python.langchain.com/docs/contributing/integration
referenced by: https://python.langchain.com/docs/contributing/
### Idea or request for content:
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Add the implementation of '_create_chat_result()' method for MiniMax's current implementation to allow it being accepted as one of the chat models
### Motivation
Currently MiniMax's chat functionality does not work properly with Langchain, as described in this issue:
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```python
import os
from langchain.agents import load_tools
from langchain.tools.render import format_tool_to_... | {
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[#14948](https://github.com/langchain-ai/langchain/issues/14948) | {
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I am having a problem adding function calling to a chain of type ConversationalRetrievalChain. I need help finding a solution.
Here is my code, which creates a ConversationalRetrievalChain to retrieve local knowledge and generate chat history information in a summary format. It works ... | {
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I'm looking to use a HuggingFace pipeline using Mistral 7b. I am attempting to pass this into an AgentExectutor and use a retriever based tool.
```python
from langchain.agents.agent_toolkits import create_retriever_tool
from langchain_core.pydantic_v1 import BaseModel, Field
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- **Issue:** the issue # Unable to use the JaguarHttpClient at run time
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Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified.
Replace this entire comment with:
- **Description:** a description of the change,
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- **Description:** Fix typo in class Docstring to replace AZURE_OPENAI_API_ENDPOINT by AZURE_OPENAI_ENDPOINT
- **Issue:** the issue #14901
- **Dependencies:** NA
- **Twitter handle:**
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langchain version: v0.0.352
python version: 3.11
Hi there! After that PR https://github.com/langchain-ai/langchain/pull/14713 was merged, I started getting errors in stream() method:
```
File .../lib/python3.11/site-packages/langchain_core/_api/deprecation.py:295, in warn_deprecated(since, messag... | {
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## Context:
I am currently developing a custom scraper using the LangChain tools, following the provided documentation. The core functionality involves extracting paragraphs from a list of URLs using the AsyncHtmlLoader and the Beautiful Soup transformer:
loader = AsyncHtmlLoader(urls)
docs ... | {
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"url... | closed | false | null | [] | null | 1 | 2023-12-20T23:36:41 | 2023-12-21T03:11:43 | 2023-12-21T03:11:43 | CONTRIBUTOR | null | **Description**
For the Momento Vector Index (MVI) vector store implementation, pass through `filter_expression` kwarg to the MVI client, if specified. This change will enable the MVI self query implementation in a future PR.
Also fixes some integration tests. | {
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I'm trying to cut the top-level part of the namespace in items. | {
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Proposing updates to the SyntheticDataGenerator interface to create a cleaner foundation for building community integrations for synthetic tabular models like [Gretel](https://gretel.ai/tabular-llm) [[docs](https://docs.gretel.ai/reference/tabular-llm)]
### Suggestion:
# Existing... | {
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Currently, I am using OpenAI LLM and Gemini Pro all being used my LangChain. I am also using Google's embedding-001 model and Cohere base model (tested each embedding and both either reply back in english first then another language or straight to another language).
Here is my prompt template:
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Also added:
MMR capability (in the Vectara platform side)
Updated templates
Updated documentation and IPYNB examples
Tag maintainer: @baskaryan
Twitter handle: @oferme... | {
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- **Description:**
- `ConversationSummaryBufferMemory` does not have a way to limit the loaded messages/buffer from `ChatHistory`. While it summarizes/prunes the previous buffer when the buffer loaded from `ChatHistory` exceeds the token threshold but when `ConversationSummaryBufferMemory` loads the memor... | {
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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,
- **Tag maintainer:** for a quicker response, tag the relevant... | {
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could you adjust the version format? I am running into issues where it's not understood by some tools.
The python version format is only major.minor. It's one of the edge cases of python packaging.
You can see examples in setuptools, both the required python version for the package and the required pyth... | {
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- **Tag maintainer:** @baskaryan
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Langchain Version: langchain 0.0.350, langchain-community 0.0.3, langchain-core 0.1.1
Python Version: 3.10.6
Operating System: macOs
Additional Libraries: boto 2.49.0, boto3 1.34.1
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified ... | {
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**Issue Title:** Enhance NLATool Authentication in ChatGPT OpenAPI
**Description:**
I have identified a feature gap in the current implementation of ChatGPT OpenAPI when using NLATool as a proxy for authentication. The existing logic does not fully meet downstream requirements, and I intend ... | {
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langchain: 0.0.351
langchain-community: 0.0.4
langchain-core: 0.1.1
langchain-experimental: 0.0.47
python: 3.10.4
### Who can help?
@hwchase17 , @agola11 , @eyurtsev
### Information
- [X] The official exampl... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14953 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14953/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14953/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14953/events | https://github.com/langchain-ai/langchain/pull/14953 | 2,050,374,671 | PR_kwDOIPDwls5idi79 | 14,953 | Update arxiv.py with get_summaries_as_docs inside of Arxivloader | {
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... | closed | false | null | [] | null | 1 | 2023-12-20T11:34:03 | 2023-12-22T21:14:23 | 2023-12-22T21:14:22 | CONTRIBUTOR | null | Added the call function get_summaries_as_docs inside of Arxivloader
- **Description:** Added a function that returns the documents from get_summaries_as_docs, as the call signature is present in the parent file but never used from Arxivloader, this can be used from Arxivloader itself just like .load() as both the ... | {
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... | open | false | null | [] | null | 1 | 2023-12-20T11:21:35 | 2023-12-20T11:31:13 | null | NONE | null | ### System Info
python 3.10
langchain 0.0.351
Windows 10
### Who can help?
@agola11
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Pa... | {
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I am trying to run the LLMChain using `llm_chain = LLMChain(llm=llm, prompt=prompt)`, where `llm` is a custom LLM defined based on https://python.langchain.com/docs/modules/model_io/llms/custom_llm,
While trying to run this I am getting the following error: `Can't instantiate abstract class BaseLanguageModel with... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14950 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14950/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14950/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14950/events | https://github.com/langchain-ai/langchain/issues/14950 | 2,050,268,609 | I_kwDOIPDwls56NJ3B | 14,950 | ImportError: cannot import name 'AzureOpenAIEmbeddings' from 'langchain.embeddings' (/opt/conda/lib/python3.10/site-packages/langchain/embeddings/__init__.py) | {
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unable to resolve below issue
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14949 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14949/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14949/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14949/events | https://github.com/langchain-ai/langchain/pull/14949 | 2,050,199,223 | PR_kwDOIPDwls5ic8iQ | 14,949 | Add support Vertex AI Gemini uses a public image URL | {
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"followers_url": "https://a... | null | 2 | 2023-12-20T09:45:21 | 2023-12-22T21:19:10 | 2023-12-22T21:19:09 | CONTRIBUTOR | null | ## What
Since `langchain_google_genai.ChatGoogleGenerativeAI` supported A public image URL, we add to support it in `langchain.chat_models.ChatVertexAI` as well.
### Example
```py
from langchain.chat_models.vertexai import ChatVertexAI
from langchain_core.messages import HumanMessage
llm = ChatVertexAI(mo... | {
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langchain: 0.0.338
python: 3.9
### Who can help?
@hwchase17
@eyurtsev
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [X] Embedding Models
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https://api.github.com/repos/langchain-ai/langchain/issues/14947 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14947/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14947/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14947/events | https://github.com/langchain-ai/langchain/issues/14947 | 2,050,171,291 | I_kwDOIPDwls56MyGb | 14,947 | Issue: Getting 'An output parsing error occurred' error even after passing 'handle_parsing_errors=True' to the agent | {
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I am using langchain with gpt 4 model. Im using the create pandas dataframe agent for my use case. For 60 % of the time i run the code, im getting below error-
An output parsing error occurred. In order to pass this error back to the agent and have it try again, pass `handle_parsing_e... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14945 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14945/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14945/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14945/events | https://github.com/langchain-ai/langchain/issues/14945 | 2,049,869,786 | I_kwDOIPDwls56Lofa | 14,945 | Issue: how to deploy gpt-4-turbo through langchain | {
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Hi, I can't find from how to deploy gpt-4-turbo in langchain.
Could anyone please tell me throuhg which module gpt-4-turbo can be deployed?
Seems that the langchain.llm has already been removed from new version of langchain.
### Suggestion:
_No response_ | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14944 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14944/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14944/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14944/events | https://github.com/langchain-ai/langchain/issues/14944 | 2,049,856,660 | I_kwDOIPDwls56LlSU | 14,944 | ImportError: cannot import name 'LLMContentHandler' from 'langchain.llms.sagemaker_endpoint' occurring with 0.0.351 | {
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... | open | false | null | [] | null | 1 | 2023-12-20T05:20:21 | 2023-12-20T05:28:08 | null | NONE | null | ### System Info
Langchain == 0.0.351
Python == 3.10.6
Running in AWS sagemaker notebook, issue occurred on multiple kernels.
Code worked perfectly yesterday, error occurred upon starting up this morning (12/19/23)
Code worked again upon reverting to 0.0.349
### Who can help?
_No response_
### Information
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The current effect is that it will stream out AgentExecutorIterator
Desired effect: streams LLM on_llm_new_token | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14942 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14942/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14942/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14942/events | https://github.com/langchain-ai/langchain/pull/14942 | 2,049,785,526 | PR_kwDOIPDwls5ibh7M | 14,942 | update notebook documentation for custom tool | {
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- **Description:** Documentation update. The custom tool notebook documentation is updated to revome the warning caused by directly instantiating of the LLMMathChain with an llm which is is deprecated. The from_llm class method is used instead. LLM output results gets updated as well.
- **Issue:** no applicabl... | {
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... | open | false | null | [] | null | 1 | 2023-12-20T03:10:10 | 2023-12-20T03:12:38 | null | NONE | null | ### Feature request
There is a new implementation of function call which I think isn't supported by langchain yet.
https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/function-calling
### Motivation
AzureChatOpenAI models can't be used by OpenAIFunctionAgent due to the implementation issue.
### You... | {
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Traceback (most recent call last):
File "c:\Users\vivek\OneDrive\Desktop\Hackathon\doc.py", line 43, in <module>
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Replace this entire comment with:
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C:\Users\vivek\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\langchain\embeddings\azure_openai.py:101: UserWarning: As of openai>=1.0.0, Azure endpoints should be specified via the `azure_endpoint` param not `openai_api_base`... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14933 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14933/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14933/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14933/events | https://github.com/langchain-ai/langchain/pull/14933 | 2,049,673,680 | PR_kwDOIPDwls5ibJv8 | 14,933 | community[patch]: Add param "task" to Databricks LLM to work around serialization of transform_output_fn | {
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```python
from langchain.chains import LLMChain, load_chain
from langchain.llms import Databricks
from langchain.prompts import PromptTemplate
def transform_output(response):
# Extract the answer from the responses.
return str(response["candidates"][0]["text"])
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https://api.github.com/repos/langchain-ai/langchain/issues/14926 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14926/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14926/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14926/events | https://github.com/langchain-ai/langchain/pull/14926 | 2,049,430,965 | PR_kwDOIPDwls5iaVU- | 14,926 | ConvoOutputParser: Handle multiline Action Input + potential hallucin… | {
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- **Description:** Handle multiline Action Inputs.
- **Issue:** Fixes cases where our agent made multiline Action Input (specifically contained python code)
- **Dependencies:** --
- **Tag maintainer:** @hwchase17
- **Twitter handle:** All the credits to @robocorp
Note: I did not fu... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14923 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14923/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14923/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14923/events | https://github.com/langchain-ai/langchain/pull/14923 | 2,049,341,319 | PR_kwDOIPDwls5iaBoC | 14,923 | Don't reassign chunk_type | {
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This PR adds the `**kwargs` parameter to six calls in the `chroma.py` package. All functions already were able to receive `kwargs` but they were discarded before.
**Issue:**
When passing `kwargs` to functions in the `chroma.py` package they are being ignored.
For example:
```
chroma_ins... | {
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File "C:\Users\vivek\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\flask\app.py", line 2190, in wsgi_app
response = self.full_dispatch_request()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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- **Tag maintainer:** @baskaryan
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- **Description:** Added the Entry ID as a return, so it's easier to track the IDs of the papers that are being returned.
With the addition return of the entry ID in functions like ArxivRetriever, it will be easier to reference the ID of the paper ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14914 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14914/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14914/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14914/events | https://github.com/langchain-ai/langchain/pull/14914 | 2,048,950,457 | PR_kwDOIPDwls5iYrFO | 14,914 | Fixed duplicate input id issue in clarifai vectorstore | {
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- **Description:**
This PR fixes the issue faces with duplicate input id in Clarifai vectorstore class when ingesting documents into the vectorstore more than the batch size.
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**Tag maintainer:** @Gupta-Anubhav12 @samanyougarg @sirjan-ws-ext
**Twitter handle:** [@SamanyouGarg](https://twitter.com/SamanyouGarg)
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Langchain: v0.0.350
OS: Linux
### Who can help?
@agola11
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ... | {
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I have a document, which contains general text and tables.
I embedded this document using LangChain to build a bot with Node.js.
The bot answers correctly for general text in the document, but gives incorrect answers for table data.
How do I update?
### Suggestion:
_No response_ | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14910 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14910/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14910/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14910/events | https://github.com/langchain-ai/langchain/pull/14910 | 2,048,850,616 | PR_kwDOIPDwls5iYVAe | 14,910 | Fixing linter issue on Python 3.8 related to the prompt injection scanner check | {
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- **Issue:** https://github.com/langchain-ai/langchain/pull/14... | {
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python: 3.11.4
langchain: 0.0.351
requests: 2.31.0
### Who can help?
@agola11
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
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Replace this entire comment with:
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https://api.github.com/repos/langchain-ai/langchain/issues/14906 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14906/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14906/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14906/events | https://github.com/langchain-ai/langchain/pull/14906 | 2,048,783,089 | PR_kwDOIPDwls5iYGHr | 14,906 | langchain[patch]: export sagemaker LLMContentHandler | {
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... | closed | false | null | [] | null | 1 | 2023-12-19T14:34:08 | 2023-12-19T15:00:33 | 2023-12-19T15:00:32 | COLLABORATOR | null | Resolves #14904 | {
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... | open | false | null | [] | null | 1 | 2023-12-19T14:22:07 | 2023-12-19T14:31:03 | null | NONE | null | ### Issue with current documentation:
Ref: https://python.langchain.com/docs/integrations/providers/wandb_tracking
> Note: the WandbCallbackHandler is being deprecated in favour of the WandbTracer . In future please use the WandbTracer as it is more flexible and allows for more granular logging. To know more about ... | {
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langchain: 0.0.351
python: 3.9
To reproduce:
``` python
from langchain.llms.sagemaker_endpoint import LLMContentHandler
```
Issue could be resolved by updating
https://github.com/langchain-ai/langchain/blob/583696732cbaa3d1cf3a3a9375539a7e8785850c/libs/langchain/langchai... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14903 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14903/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14903/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14903/events | https://github.com/langchain-ai/langchain/pull/14903 | 2,048,702,226 | PR_kwDOIPDwls5iX0a9 | 14,903 | Docs reference for XataVectorStore constructor | {
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"url... | closed | false | null | [] | null | 1 | 2023-12-19T13:50:26 | 2023-12-19T14:04:47 | 2023-12-19T14:04:47 | CONTRIBUTOR | null | Adds doc reference to the XataVectorStore constructor for use with existing Xata table contents.
@tsg @philkra | {
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... | open | false | null | [] | null | 1 | 2023-12-19T13:16:06 | 2023-12-19T13:28:56 | null | NONE | null | ### System Info
In chain.py, relative code as below:
```
def get_retriever(text):
_query = text
llm = ...
chroma_docs = [...]
_model_name, _embedding = get_embedding_HuggingFace()
chroma_vdb = Chroma.from_documents(chroma_docs, _embedding)
document_content_description = "..."
metad... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14901 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14901/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14901/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14901/events | https://github.com/langchain-ai/langchain/issues/14901 | 2,048,603,807 | I_kwDOIPDwls56Gzaf | 14,901 | DOC: Wrong parameter name in doc string | {
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Current:
```
class AzureChatOpenAI(ChatOpenAI):
"""`Azure OpenAI` Chat Completion API.
To use this class you
must have a deployed model on Azure OpenAI. Use `deployment_name` in the
constructor to refer to the "Model deployment name" in the Azure portal.
... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14900 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14900/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14900/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14900/events | https://github.com/langchain-ai/langchain/pull/14900 | 2,048,571,202 | PR_kwDOIPDwls5iXXnL | 14,900 | Integrating GPTRouter | {
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"description": "A large net-new component, integration, or chain. Use sparing... | closed | false | null | [] | null | 2 | 2023-12-19T12:33:49 | 2023-12-19T15:08:37 | 2023-12-19T15:08:36 | CONTRIBUTOR | null | **Description:** Adding a langchain integration for [GPTRouter](https://gpt-router.writesonic.com/) 🚀 ,
**Tag maintainer:** @Gupta-Anubhav12 @samanyougarg @sirjan-ws-ext
**Twitter handle:** [@SamanyouGarg](https://twitter.com/SamanyouGarg)
Integration Tests Passing:
<img width="1137" alt="Screenshot 2023-1... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14899 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14899/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14899/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14899/events | https://github.com/langchain-ai/langchain/issues/14899 | 2,048,405,277 | I_kwDOIPDwls56GC8d | 14,899 | `convert_to_openai_function` drops `description` for each parameter | {
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... | open | false | null | [] | null | 1 | 2023-12-19T10:51:41 | 2023-12-19T12:13:00 | null | NONE | null | ### System Info
The `description` attribute of the function parameters described in our Pydantic *v2* model are missing in the output of `convert_to_openai_function` because it does not recognize Pydantic v2 `BaseModel` as a valid v1 `BaseModel`.
https://github.com/langchain-ai/langchain/blob/16399fd61d7744c529cc... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14898 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14898/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14898/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14898/events | https://github.com/langchain-ai/langchain/issues/14898 | 2,048,330,418 | I_kwDOIPDwls56Fwqy | 14,898 | Issue: Enhancing Streaming and Database Integration in ConversationRetrieval with AsyncIteratorCallbackHandler | {
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... | open | false | null | [] | null | 5 | 2023-12-19T10:08:44 | 2023-12-27T23:42:38 | null | NONE | null | ### Issue you'd like to raise.
I am working on implementing streaming for my ConversationRetrieval chain calls, and I plan to leverage the AsyncIteratorCallbackHandler along with its aiter method. While reviewing the source code, I noticed that the response from the on_llm_end method is not currently added to the queu... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14897 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14897/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14897/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14897/events | https://github.com/langchain-ai/langchain/issues/14897 | 2,048,316,746 | I_kwDOIPDwls56FtVK | 14,897 | Update records in the Xata integration | {
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{
"id": 56... | open | false | null | [] | null | 1 | 2023-12-19T10:00:54 | 2023-12-19T10:03:21 | null | CONTRIBUTOR | null | ### Feature request
Currently (0.0.350) the Xata integration always creates new records with `XataVectorStore.from_documents`.
Provide the option to update embeddings and column content of existing record ids.
### Motivation
This will provide the capability to update Xata Vector Stores.
### Your contribution
Xa... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14896 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14896/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14896/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14896/events | https://github.com/langchain-ai/langchain/issues/14896 | 2,048,263,486 | I_kwDOIPDwls56FgU- | 14,896 | YandexGPT crashes with error "You have to specify folder ID for user account" | {
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langchain 0.0.350
langchain-community 0.0.3
langchain-core 0.1.1
yandexcloud 0.248.0
Python 3.9.0 Windows 10
### Who can help?
_No response_
### Information
- [ ] The offic... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14895 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14895/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14895/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14895/events | https://github.com/langchain-ai/langchain/issues/14895 | 2,048,263,074 | I_kwDOIPDwls56FgOi | 14,895 | Comparing the agent reply with the previous conversation | {
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"node_... | open | false | null | [] | null | 2 | 2023-12-19T09:29:35 | 2023-12-19T09:46:06 | null | NONE | null | ### System Info
Hi folks,
I am getting one error in which sometime agent gives the exact same answer as it has output for the previous question. Here is the screen shot of my replies
Since it is giving t... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14894 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14894/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14894/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14894/events | https://github.com/langchain-ai/langchain/issues/14894 | 2,048,190,743 | I_kwDOIPDwls56FOkX | 14,894 | MultiQueryRetriever consume too much GPU mem, request to limit the maximum llm call | {
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... | open | false | null | [] | null | 1 | 2023-12-19T08:44:18 | 2023-12-19T08:51:31 | null | NONE | null | ### System Info
python 3.10
langchain 0.0.350
### 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
- [ ] Output Parsers
-... | {
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