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... | closed | false | null | [] | null | 1 | 2023-08-17T08:27:06 | 2023-08-17T15:35:50 | 2023-08-17T15:35:49 | 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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"id":... | closed | false | null | [] | null | 5 | 2023-08-17T07:53:33 | 2023-08-21T14:52:26 | 2023-08-21T14:52:25 | CONTRIBUTOR | null | <!-- Thank you for contributing to LangChain!
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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https://api.github.com/repos/langchain-ai/langchain/issues/9369 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9369/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9369/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9369/events | https://github.com/langchain-ai/langchain/issues/9369 | 1,854,462,216 | I_kwDOIPDwls5uiNkI | 9,369 | Add {language} in all template | {
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... | closed | false | null | [] | null | 2 | 2023-08-17T07:50:21 | 2023-11-24T09:06:07 | 2023-11-23T16:05:44 | CONTRIBUTOR | null | ### Feature request
Actually, all prompt are in english. To generate a summary or answer a question in another language, all the templates need to be modified.
The modification can be :
```
prompt = PromptTemplate(
template=re.sub(
"CONCISE SUMMARY:",
"CONCISE SUMMAR... | {
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"id": 56... | open | false | null | [] | null | 6 | 2023-08-17T07:18:59 | 2024-01-01T18:46:58 | null | NONE | null | ### System Info
Langchain Version: 0.0.245
model: vicuna-13b-v1.5
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Pr... | {
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... | closed | false | null | [] | null | 6 | 2023-08-17T07:14:25 | 2023-09-01T22:58:22 | 2023-09-01T22:58:22 | CONTRIBUTOR | null | #8850 | {
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... | closed | false | null | [] | null | 2 | 2023-08-17T06:56:19 | 2023-10-17T00:57:52 | 2023-10-17T00:57:28 | CONTRIBUTOR | null | ### Feature request
Support retry policy for ErnieBotChat
### Motivation
ErnieBotChat currently not support retry policy, it will failed when reach quotas.
### Your contribution
I will submit a PR | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9364 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9364/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9364/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9364/events | https://github.com/langchain-ai/langchain/issues/9364 | 1,854,319,004 | I_kwDOIPDwls5uhqmc | 9,364 | Help: How to stop the chain if no chunks are retrieved? | {
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I am using ConversationalRetrievalChain for RAG based chatbot and I am using custom retriever to get the relevant chunks.
```
custom_retriever = FilteredRetriever(
vectorstore=vectorstore.as_retriever(search_kwargs={"k": 5, "filter": {}}, search_type="mmr"),
categ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9363 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9363/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9363/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9363/events | https://github.com/langchain-ai/langchain/issues/9363 | 1,854,305,205 | I_kwDOIPDwls5uhnO1 | 9,363 | DOC: Where i can find Elasticsearch integration docs? | {
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... | closed | false | null | [] | null | 3 | 2023-08-17T05:59:17 | 2023-11-20T00:22:11 | 2023-11-20T00:22:02 | CONTRIBUTOR | null | ### Issue with current documentation:
`/usr/local/lib/python3.9/dist-packages/langchain/vectorstores/elastic_vector_search.py:135: UserWarning: ElasticVectorSearch will be removed in a future release. See Elasticsearch integration docs on how to upgrade.`
### Idea or request for content:
_No response_ | {
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This improvement enhances the readability an... | {
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I want to stress that... | {
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As always, your feedback holds imm... | {
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code
-------------
raw_documents = TextLoader('../../../state_of_the_union.txt').load()
text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
documents = text_splitter.split_documents(raw_documents)
db = Chroma.from_documents(documents, OpenAIEmbeddings())
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- Add attribute_filter as an optional input argument to get_relevant_documents method of kendra retriever class. Currently it is only possible to define an attribute_filter, used to filter kendra searched docs by metadata attributes (such as s3 prefix), when creating a Kendra retriever instance.
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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 maintainer (see... | {
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Python 3.10
LangChain v0.0.266
### Who can help?
@eyurtsev
@hwchase17
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt Selectors
- [ ] Outpu... | {
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This code is exactly as in the documentation.
```
import os
from dotenv import load_dotenv
from langchain.agents import create_csv_agent
from langchain.llms import OpenAI
load_dotenv()
agent = create_csv_agent(OpenAI(temperature=0),
'train.csv',
... | {
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"id":... | closed | false | null | [] | null | 2 | 2023-08-17T01:31:41 | 2023-11-23T16:06:00 | 2023-11-23T16:05:59 | CONTRIBUTOR | null | ### Issue you'd like to raise.
Is it possible to use a customized dictionary for langchain retriever to search for document?
For example, there is document talking about "circuit". In my organization, people use special keyword "A" which means "circuit". However, this "A" == "circuit" is not a common relationship in ... | {
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- updated the top-level descriptions to a consistent format;
- changed several `ValueError` to `ImportError` in the import cases;
- changed the format of several internal functions from "name" to "_name". So, these functions are not shown in the Top-level API Reference page (with lists of c... | {
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Add the parameter exclude_output_keys to VectorStoreRetrieverMemory and exclude output keys in method _form_documents similar to the case of input keys. This would enable the use of VectorStoreRetrieverMemory as read-only memory.
https://github.com/langchain-ai/langchain/blob/2e8733cf54d3cd24cf6... | {
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LocalFileStore tries to treat Document as byte
```
store = LocalFileStore(get_project_relative_path("doc_store"))
parent_splitter = RecursiveCharacterTextSplitter(chunk_size=2000)
child_splitter = RecursiveCharacterTextSplitter(chunk_size=400)
retriever = ParentDocumentRetriever(vectorstore... | {
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This is a win of about 60-90s overall.
Before:
After:
![image](https://github.com/langchain-ai/... | {
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... | closed | false | null | [] | null | 3 | 2023-08-16T21:33:48 | 2023-12-08T16:05:30 | 2023-12-08T16:05:30 | NONE | null | ### Issue you'd like to raise.
I'm running llama2-13b with the below parameters, and I'm trying to summarize pdf (linked [here](https://akoustis.com/wp-content/uploads/2022/06/Single-Crystal-AlScN-on-Silicon-XBAW%E2%84%A2RF-Filter-Technology-for-Wide-Bandwidth-High-Frequency-5G-and-Wi-Fi-Applications.pdf))
```
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<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
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... | closed | false | null | [] | null | 3 | 2023-08-16T20:18:40 | 2023-08-17T15:47:24 | 2023-08-17T15:47:23 | COLLABORATOR | null | The previous caching configuration was attempting to cache poetry venvs created in the default shared virtualenvs directory. However, all langchain packages use `in-project = true` for their poetry virtualenv setup, which moves the venv inside the package itself instead. This meant that poetry venvs were not being cach... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9333 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9333/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9333/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9333/events | https://github.com/langchain-ai/langchain/pull/9333 | 1,853,760,974 | PR_kwDOIPDwls5YF6k9 | 9,333 | 📖 docs: `integrations/agent_toolkits` | {
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- The group name on the main navbar changed: `Agent toolkits` -> `Agents & Toolkits`. Examples here are the mix of the Agent and Toolkit examples because Agents and Toolkits in examples are always used together.
- Titles changed: removed "Agent" and "Toolkit" suffixes. ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9332 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9332/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9332/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9332/events | https://github.com/langchain-ai/langchain/pull/9332 | 1,853,736,011 | PR_kwDOIPDwls5YF1Hw | 9,332 | add tiktoken integration dep | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9331 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9331/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9331/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9331/events | https://github.com/langchain-ai/langchain/pull/9331 | 1,853,722,772 | PR_kwDOIPDwls5YFyOf | 9,331 | pydantic v2 bump -- test required changes | {
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1. Decouple langsmith and langchain, copy over schema to langchain
2. Use new metaclass for pydantic v2 in tool base
3. WHEN ON PYDANTIC 2
tool base:
```
def _create_subset_model(
name: str, model: BaseModel, field_names: list
):
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https://api.github.com/repos/langchain-ai/langchain/issues/9330 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9330/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9330/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9330/events | https://github.com/langchain-ai/langchain/issues/9330 | 1,853,718,640 | I_kwDOIPDwls5ufYBw | 9,330 | Issue: Search query based on the geoLocation using GoogleSearchAPIWrapper or SerpAPIWrapper | {
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Hi, I want to do the query based on my location. For example, what is the restaurant near me? I have Python code using SerpAPIWrapper and GoogleSearchAPIWrapper but none of the Api works based on location. below is my snippet code.
GoogleSearchAPIWrapper:
`
latitude = 37.36... | {
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I'm attempting to use Meilisearch as a vector store with Chat Models, however I'm a little confused about how to use the following code to send the input from Meilisearch to Chat Models. Below is the code which you gave
```
from langchain.vectorstores import Meilisearch
from ... | {
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Add support for `max_marginal_relevance_search` to `pgvector` vector stores
### Motivation
Would like to be able to do `max_marginal_relevance_search` over `pgvector` vector stores
### Your contribution
N/A | {
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Instead of embeddings, I'm using chat models with RecursiveTextSplitter because they simply return the response without any further justification. The input PDF files that I'm providing have a 36k input length. It takes a long time to return the output when using straight code. Ca... | {
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Python 3.10.6
Langchain 0.0.220
### Who can help?
@3
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Docu... | {
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- Tag maintainer: @hwchase17 @eyurtsev
- Twitter handle: @pelaseyed
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@ago
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... | closed | false | null | [] | null | 3 | 2023-08-16T11:51:15 | 2023-10-11T16:46:11 | 2023-10-11T16:46:11 | NONE | null | ### System Info
Python 3.10.12
Langchain 0.0.266
### Who can help?
@eyurtsev
### 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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https://api.github.com/repos/langchain-ai/langchain/issues/9304 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9304/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9304/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9304/events | https://github.com/langchain-ai/langchain/pull/9304 | 1,852,997,578 | PR_kwDOIPDwls5YDUOX | 9,304 | Add the possibility to configure boto3 in the S3 loaders | {
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... | closed | false | null | [] | null | 4 | 2023-08-16T10:57:28 | 2023-09-04T18:00:28 | 2023-09-04T04:06:49 | CONTRIBUTOR | null | - Description: this PR adds the possibility to configure boto3 in the S3 loaders. Any named argument you add will be used to create the Boto3 session. This is useful when the AWS credentials can't be passed as env variables or can't be read from the credentials file.
- Issue: N/A
- Dependencies: N/A
- Tag ma... | {
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How to resolve [This model's maximum context length is 4097 tokens] ?
If Graph DB have many nodes, can not send those tokens to OpenAI by one time.
### Suggestion:
_No response_ | {
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langchain/0.0.258, Python 3.10.10
### Who can help?
@hw
@issam9
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parser... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9300 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9300/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9300/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9300/events | https://github.com/langchain-ai/langchain/pull/9300 | 1,852,820,855 | PR_kwDOIPDwls5YCt7z | 9,300 | Fix SelfAskOutputParser (from langchain.agents.self_ask_with_search.output_parser) | {
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"node_id... | closed | false | null | [] | null | 6 | 2023-08-16T09:06:15 | 2023-11-10T22:07:01 | 2023-11-10T22:07:00 | NONE | null | # Description of the change
By replacing hard coded position of "follow up" and "final output" pattern with regex pattern matching using "re" I reduce failed outputs like markdown list or any multiline outputs
Example of the issue:
```
from langchain import OpenAI, SerpAPIWrapper
from langchain.agents import i... | {
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Hello, I have a question, I didn't find it from the official documentation, I want to know, if I have another llm now, he provides me with a calling api, how can I do it, can it be used like openai, such as This https://python.langchain.com/docs/use_cases/sql in the official document, I ... | {
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"id":... | open | false | null | [] | null | 5 | 2023-08-16T08:42:15 | 2023-11-28T02:28:43 | null | CONTRIBUTOR | null | ### Issue you'd like to raise.
Retrying langchain.embeddings.openai.embed_with_retry.<locals>._embed_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-text-embedding-ada-002 in organization org-uIkxFSWUeCDpCsfzD5XWYLZ7 on tokens per min. Limit: 1000000 / min. Current: 837303 / min. ... | {
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When I run a vector search in Azure Cognitive Search using AzureSearch it fails saying, "The 'value' property of the vector query can't be null or an empty array." (full error at the bottom) My code hasn't changed from last week when it used to work. I've got version 11.4.0b6 of azure-search-documents ... | {
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- Dependencies: websocket-client = "^1.6.1"
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In LangChain 0.0.240, the `ApifyWrapper` class was removed. This caused a breaking change and broke any code using this class.
It was deleted in this PR https://github.com/langchain-ai/langchain/pull/8106 @hwchase17
Could you please outline the reason it was removed?
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It would be nice to have a fake vectorstore to make testing retriaval chains easier.
### Motivation
testing retriaval chains
### Your contribution
yes, I'm happy to help. | {
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- Improved performance in multiple ways through batching, threading, etc.
- fixed error message
- Added support for metadata filtering during similarity search.
@baskaryan PTAL | {
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0.0.247
### Who can help?
@hwchase17
@agola11
### Information
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- [x] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
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... | open | false | null | [] | null | 3 | 2023-08-16T03:32:57 | 2023-09-21T21:52:17 | null | NONE | null | In llms.huggingface_endpoint.py, remove summarization from VALID_TASKS because docstring says that summarization is not supported. Also, when trying summarization task, we get an error `KeyError: 'summary_text'` from huggingface endpoint.
resolves #9286
- Twitter handle: @Zorns_Lemma
@baskaryan
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@hwchase17
@ago
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See this page: https://python.langchain.com/docs/use_cases/multi_modal/image_agent
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https://api.github.com/repos/langchain-ai/langchain/issues/9273 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9273/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9273/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9273/events | https://github.com/langchain-ai/langchain/issues/9273 | 1,852,123,223 | I_kwDOIPDwls5uZShX | 9,273 | How do fix GPT2 Tokenizer error in Langchain map_reduce (LLama2)? | {
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... | closed | false | null | [] | null | 6 | 2023-08-15T21:01:48 | 2024-01-01T18:11:07 | 2023-12-25T16:09:14 | NONE | null | ### System Info
I'm using AWS Sagemaker Jumpstart model for Llama2 13b: meta-textgeneration-llama-2-13b-f
On running a Langchain summarize chain with chain_type="map_reduce" I get the below error. Other chain types (refine, stuff) work without issues. I do not have access to https://huggingface.co/ from my environm... | {
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Issue: Didn't get added in https://github.com/langchain-ai/langchain/pull/9064
Dependencies: None
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https://api.github.com/repos/langchain-ai/langchain/issues/9271 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9271/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9271/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9271/events | https://github.com/langchain-ai/langchain/issues/9271 | 1,852,108,322 | I_kwDOIPDwls5uZO4i | 9,271 | Stream the response of the custom tools in the agent | {
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llm = ChatOpenAI(temperature=0, model_name = args.ModelName, verbose = True, streaming = True, callbacks = [MyCallbackHandler(new_payload)])
class StaticSearchTool(BaseTool):
name = "Search_QA_System"
description = "Use this tool to answer cuurent events
# return_dir... | {
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"id":... | open | false | null | [] | null | 5 | 2023-08-15T20:31:54 | 2023-10-29T13:09:23 | null | CONTRIBUTOR | null | ### Issue you'd like to raise.
I have an issue when trying to set 'gpt-3.5-turbo' as a model to create embeddings.
When using the 'gpt-3.5-turbo' to create LLM, everything works fine:
`llm = OpenAI(model_name='gpt-3.5-turbo', temperature=0, openai_api_key=OPENAI_API_KEY, max_tokens=512)`
Also creating embeddi... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9269 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9269/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9269/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9269/events | https://github.com/langchain-ai/langchain/pull/9269 | 1,852,080,565 | PR_kwDOIPDwls5YANcE | 9,269 | Fix region sagemaker | {
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... | closed | false | null | [] | null | 16 | 2023-08-15T20:26:41 | 2023-11-13T21:13:19 | 2023-11-13T21:13:18 | NONE | null | I encountered an issue while working with the Sagemaker endpoint module and attempting to establish a connection to the client.
The error message `"Failed to load credentials for AWS client authentication`" was being raised, despite passing the **`profile_name`** parameter.
Upon reviewing the code, I realized tha... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9268 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9268/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9268/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9268/events | https://github.com/langchain-ai/langchain/pull/9268 | 1,852,064,945 | PR_kwDOIPDwls5YAJ-o | 9,268 | Random compatibility issues | {
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... | open | false | null | [] | null | 2 | 2023-08-15T20:16:24 | 2023-09-21T21:50:09 | null | COLLABORATOR | null | A fix for random issues like this:
```
from pydantic import BaseModel, Field # <-- may be v2 namespace
class CalculatorInput(BaseModel):
question: str = Field()
Tool.from_function( # <-- tool uses v1 namespace
func=lambda question: 'hello',
name="Calculator",
description="useful for when... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9267 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9267/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9267/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9267/events | https://github.com/langchain-ai/langchain/pull/9267 | 1,852,034,064 | PR_kwDOIPDwls5YADQ5 | 9,267 | fix context nb | {
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