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We're considering this as a good practice, as a view serves as a "facade" for your data - however, we decided to let users decide this on their own.
Solves the questions from:
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We found an issue related to `WebBaseLoader`.
I guess the problem is related to `Response.apparent_encoding` leveraged by `WebBaseLoader. chardet.detect()`, which assigns the `apparent_encoding` to a Resp... | {
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1. It is more efficient in case of subs... | {
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python: 3.11
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_No response_
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- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document Load... | {
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- Issue: [#9910](https://github.com/langchain-ai/langchain/issues/9910) | {
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... | closed | false | null | [] | null | 4 | 2023-08-29T07:03:23 | 2023-11-28T16:42:31 | 2023-11-28T16:42:21 | CONTRIBUTOR | null | ### Issue with current documentation:
Several typos in this section: https://python.langchain.com/docs/use_cases/apis#functions
### Idea or request for content:
_No response_ | {
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hi,
how do I merge 2 vector dbs?
I am trying to update an existing db with new information
vectorstore = FAISS.from_documents(docs_chunked, Embeddings())
vectorstore.save_local("faiss_index_table_string")
vector_db = FAISS.load_local("faiss_index_table_string", ... | {
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I tried running it in replit
### Who can help?
_No response_
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- [ ] My own modified scripts
### Related Components
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Fixes: https://github.com/langchain-ai/langchain/issues/3685
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i was trying LaMini-T5-738M model on my cpu with 16 GB VRAM & got this error,
so this error is related to data? or related or resourses
### Suggestion:
_No response_ | {
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python-dotenv: 1.0.0
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[AWS DynamoDB Key docs](https://aws.amazon.com/blogs/database/choosing-the-right-d... | {
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If metadata field returned in results, previous behavior unchanged. If metadata field does not exist in results, expand metadata to any fields returned outside of content field.
There's precedence for this as well, see the retriever: https://github.com/langchain-ai/langchain/blob/master/libs/langchai... | {
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Added some formatting.
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Updated some formatting.
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... | closed | false | null | [] | null | 2 | 2023-08-28T23:58:25 | 2023-12-06T17:43:40 | 2023-12-06T17:43:39 | CONTRIBUTOR | null | ### Issue with current documentation:
when I write the following code
`from langchain_experimental.sql import SQLDatabaseSequentialChain
`
I get the following error:
Cannot find reference 'SQLDatabaseSequentialChain' in '__init__.py'
### Idea or request for content:
How to fix the problem so I can use **SQLD... | {
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- Fixed a title in the `integration/collbacks/infino.ipynb` example
- Updated text format in this example.
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Issue: n/a see above
Dependencies: none
Tag maintainer: @hinthornw in past from my end but not sure who that would be for maintenance of chains
Twitter handle: no twitter feel free to call out my git user if shout out j-space-b
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I used langchain=0.0.246 on Databricks, but this bug is due to the lack of implementation of `Databricks._identifying_params()`, so system info should not impact.
### Who can help?
I see that @nfcampos contributed to most of the Databricks model serving wrapper, so tagging you here.
@hwchase1... | {
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since the values in the dict are functions whose return types are
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When the `MultiQueryRetriever` is used to get the list of documents relevant according to a query, inside a vector store, and at least one of these contain metadata with nested dictionaries, a `TypeError: unhashable type: 'dict'` exception is thrown.
This is caused by the `unique_union` function which,... | {
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<img width="951" alt="Screenshot 2023-08-28 at 1 47 32 PM" src="https://github.com/langchain-ai/langchain/assets/22008038/0c634637-9c3a-4d58-8e37-420d16ffc888">
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I am using FastAPI which is written in Python to develop nlp tool where user can generate conversation chain by uploading pdf docs. Data extraction and Preprocessing logic written in backend API. I want to send a conversation chain object which is not JSON serializable. Trust me I tried ... | {
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Updated the notebook for comprehend moderation.
cc @baskaryan | {
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"id": 56... | closed | false | null | [] | null | 2 | 2023-08-28T19:20:01 | 2023-09-04T17:53:04 | 2023-09-04T17:53:04 | CONTRIBUTOR | null | Had some trouble with Weaviate upserting and found myself doing this externally. It would be amazing if batch_size could be a param for all vectorstores. Maybe 100 is too low, but I've been using it and it works well. Would love thoughts!
@baskaryan
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"id": 56... | closed | false | null | [] | null | 2 | 2023-08-28T19:15:25 | 2023-12-04T16:04:43 | 2023-12-04T16:04:42 | NONE | null | ### System Info
MultiQueryRetriever will fail to call `_get_relevant_documents` if the Document objects have metadata which are dictionaries.
```python
def _get_relevant_documents(
self,
query: str,
*,
run_manager: CallbackManagerForRetrieverRun,
) -> List[Document]:
... | {
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"description": "Changes to documentation and examples, like .md, .rst, .i... | closed | false | null | [] | null | 1 | 2023-08-28T18:05:06 | 2023-08-29T01:18:59 | 2023-08-29T01:16:23 | COLLABORATOR | null | * Added links to the AI Network
* Made title consistent to other tool kits
* Added `integrations/providers/` integration card page
* **No changes** in the example code!
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https://api.github.com/repos/langchain-ai/langchain/issues/9870 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9870/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9870/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9870/events | https://github.com/langchain-ai/langchain/pull/9870 | 1,870,162,648 | PR_kwDOIPDwls5Y9N0P | 9,870 | Add LLMonitor Callback Handler Integration - open-source observability & analytics | {
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It enables:
- Requests tracking / logging / analytics
- Error debugging
- Cost analytics
- User tracking
Let me know if anythings neds to be changed for merge.
Thank you!
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https://api.github.com/repos/langchain-ai/langchain/issues/9869 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9869/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9869/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9869/events | https://github.com/langchain-ai/langchain/issues/9869 | 1,870,136,223 | I_kwDOIPDwls5veAOf | 9,869 | Langchain AutoLLM class | {
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With more incoming of newer LLMs and LLM providers, either through APIs (like Open AI, Anthropic), or Local providers (like gpt4all, ctransformers, llama cpp etc). It becomes hard to keep track of and there is no uniform way os instantiating the LLM class.
For example:
```python
from langc... | {
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... | closed | false | null | [] | null | 1 | 2023-08-28T17:00:44 | 2023-08-28T17:53:29 | 2023-08-28T17:53:27 | COLLABORATOR | null | The most reliable way to not have a chain run an undesirable SQL command is to not give it database permissions to run that command. That way the database itself performs the rule enforcement, so it's much easier to configure and use properly than anything we could add in ourselves. | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9866 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9866/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9866/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9866/events | https://github.com/langchain-ai/langchain/pull/9866 | 1,870,123,263 | PR_kwDOIPDwls5Y9FLw | 9,866 | LRU cache for import to avoid repetetive calls to huggingface | {
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... | closed | false | null | [] | null | 2 | 2023-08-28T17:00:20 | 2023-09-03T22:33:38 | 2023-09-03T22:33:37 | CONTRIBUTOR | null | # Description
Performance improvement to avoid repeated calls to huggingface when calling `RetrievalQAWithSourcesChain.from_chain_type`. By caching the call to the underlying transformers library, we avoid re-importing the library, instantiating the object and pulling data from huggingface. This significantly speeds u... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9865 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9865/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9865/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9865/events | https://github.com/langchain-ai/langchain/issues/9865 | 1,869,988,229 | I_kwDOIPDwls5vdcGF | 9,865 | llama.cpp does not support AsyncCallbackHandler | {
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... | open | false | null | [] | null | 9 | 2023-08-28T15:30:08 | 2023-10-19T19:01:24 | null | NONE | null | ### System Info
python:3.11.3
langchain: 0.0.274
dist: arch
### Who can help?
```
fastapi==0.103.0
qdrant-client==1.4.0
llama-cpp-python==0.1.72
```
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Model... | {
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... | closed | false | null | [] | null | 1 | 2023-08-28T15:25:49 | 2023-09-01T14:57:35 | 2023-09-01T14:57:34 | 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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The feature for anonymizing data has been implemented. In order to protect private data, such as when querying external APIs (OpenAI), it is worth pseudonymizing sensitive data to maintain full privacy.
Anonynization consists of two steps:
1. **Identification:** Identify all data fields that co... | {
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JS LangChain
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
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* consolidates `from_texts` and `add_texts` functions for pinecone upsert
* adds two types of batching (one for embeddings and one for index upsert)
* adds thread pool size when instantiating pinecone index
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We can take advantage from pinecone parallel upsert (see example: https://docs.pinecone.io/docs/insert-data#sending-upserts-in-parallel)
This will require modification of the current `from_texts` pipeline to
1. Create a batch (chunk) for doing embeddings (ie have a chunk size of 1000 for embedd... | {
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274
Mac M2
this error appears often and unexpectedly
but gets solved temporarily by running a force reinstall
`pip install --upgrade --force-reinstall --no-deps --no-cache-dir langchain
`
full error
```
2023-08-28 08:16:48.197 Uncaught app exception
Traceback (most recent call last):
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https://github.com/langchain-ai/langchain/blob/610f46d83aae6e1e25d76a0222b3158e2c4f7034/libs/langchain/langchain/vectorstores/weaviate.py
Issue in Langchain Weaviate Wrapper.
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There is a really nice class for saving chat messages into a database - SQLChatMessageHistory.
It leverages SqlAlchemy to be compatible with any supported database (in contrast with PostgresChatMessageHistory, which is basically the same but is limited to Postgres).
However, the class is not real... | {
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... | closed | false | null | [] | null | 8 | 2023-08-28T11:29:04 | 2023-12-06T17:43:50 | 2023-12-06T17:43:49 | NONE | null | ### Issue you'd like to raise.
db = SQLDatabase.from_uri(
"mysql+pyodbc://Driver={SQL Server};Server=DESKTOP-17L7UI1\SQLEXPRESS;Database=DociQDb;rusted_Connection=yes;",)
I am trying to connect to my microsoft sql server but this give me error
sqlalchemy.exc.DBAPIError: (pyodbc.Error) ('IM010', '[IM010] [Microso... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9843 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9843/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9843/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9843/events | https://github.com/langchain-ai/langchain/issues/9843 | 1,869,349,364 | I_kwDOIPDwls5vbAH0 | 9,843 | CharacterTextSplitter inconsistent/wrong output using regex pattern | {
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... | closed | false | null | [] | null | 2 | 2023-08-28T09:13:20 | 2023-12-04T16:05:03 | 2023-12-04T16:05:02 | CONTRIBUTOR | null | ### System Info
Langchain version 0.0.259
Ubuntu 20.04
Python 3.9.15
### Who can help?
@eyurtsev
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9842 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9842/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9842/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9842/events | https://github.com/langchain-ai/langchain/issues/9842 | 1,869,306,384 | I_kwDOIPDwls5va1oQ | 9,842 | Being able to see model's responses when using verbose mode | {
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... | closed | false | null | [] | null | 5 | 2023-08-28T08:47:43 | 2023-12-04T16:05:09 | 2023-12-04T16:05:08 | NONE | null | ### Feature request
Currently, when the _verbose_ attribute is set to True in the constructor of an _LLMChain_ object, only the input passed to the LLM is shown. It would be desirable to also see the raw output of the LLM before it is parsed.
### Motivation
Seeing both inputs and outputs of the LLM would help debug ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9841 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9841/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9841/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9841/events | https://github.com/langchain-ai/langchain/issues/9841 | 1,869,160,370 | I_kwDOIPDwls5vaR-y | 9,841 | VLLM: Can't instantiate abstract class VLLM with abstract method _agenerate | {
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... | closed | false | null | [] | null | 2 | 2023-08-28T07:30:09 | 2023-12-04T16:05:13 | 2023-12-04T16:05:12 | NONE | null | ### System Info
**langchain 0.0.274:**
When trying to instantiate a VLLM object, I'm getting the following error:
**TypeError: Can't instantiate abstract class VLLM with abstract method _agenerate**
This is the code I'm using which is 1-1 as the VLLM example on langchain documentation:
https://python.langchain... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9840 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9840/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9840/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9840/events | https://github.com/langchain-ai/langchain/issues/9840 | 1,869,119,162 | I_kwDOIPDwls5vaH66 | 9,840 | DOC: Generative Agents Page In JS/TS but not Python | {
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How come there is a generative agents page https://js.langchain.com/docs/use_cases/agent_simulations/generative_agents in JS, but not one in python? I was reading this [blog post](https://blog.langchain.dev/agents-round/) and the links to the generative_agents page didn't work. ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9839 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9839/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9839/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9839/events | https://github.com/langchain-ai/langchain/issues/9839 | 1,869,095,141 | I_kwDOIPDwls5vaCDl | 9,839 | DOC: Add clarification to Modules/ModelsI/O/Prompts/Prompt Templates/Few-shot examples for chat models | {
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In https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat under Dynamic few-shot prompting,
```
example_selector = SemanticSimilarityExampleSelector(
vectorstore=vectorstore,
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Enhancement to the PGVector functionality: the addition of an update function `update_documents(...)`.
Currently, updating the documents of a collection requires emptying the collection and filling it again. This can cause more calls to be made to the model than are actually needed. In fact, if a tex... | {
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This change allows you to customize the prompt used in `create_extraction_chain` as well as `create_extraction_chain_pydantic`.
It also adds the `verbose` argument to `create_extraction_chain_pydantic` - because `create_extraction_chain` had it already and `create_extraction_chain_pydantic` did not... | {
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At https://python.langchain.com/docs/integrations/document_loaders/news, there is an issue with the path for importing `NewsURLLoader`. Currently, it's being imported from `from langchain.document_loaders`, but it gives `importerror`.
### Idea or request for content:
The import ... | {
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Hello Team,
I am using the below post from Langchain in order to use PowerBIToolkit for connecting to the dataset and tables in it. However I am not able to execute the code.
https://python.langchain.com/docs/integrations/toolkits/powerbi
I have also gone through an issue raised in this reposit... | {
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I'm hoping someone smarter than me can help me understand how to write a callback that works with Elevenlabs.
I'm trying to get Elevenlabs to stream TTS based on a response from the GPT-4 API. I can do this easily using OpenAIs own libarary, but I cannot figure out how to do this using langchains callbacks i... | {
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- Description: Add support for Falkordb (ex-RedisGraph)
- Tag maintainer: @hwchase17
- Twitter handle: @g_korland
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I find StructuredOutputParser to not work that well with Claude. It also takes quite a few tokens to output its format instructions.
It would be great to have a built-in support for using XMLs as a meaning of transportation.
### Motivation
Claude supports and works really well with XML t... | {
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Replace this entire comment with:
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"node_id... | closed | false | null | [] | null | 4 | 2023-08-27T01:08:29 | 2023-12-03T16:04:31 | 2023-12-03T16:04:30 | NONE | null | ### Issue you'd like to raise.
```
llm = ChatOpenAI(
max_retries=3,
temperature=0.7,
model_name="gpt-4",
streaming=True,
callbacks=[AsyncStreamingCallbackHandler],
)
```
Tool params
` return_direct=False` # Toggling this to TRUE provi... | {
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