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https://api.github.com/repos/langchain-ai/langchain/issues/8060 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8060/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8060/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8060/events | https://github.com/langchain-ai/langchain/issues/8060 | 1,815,365,924 | I_kwDOIPDwls5sNEkk | 8,060 | DOC: Unable to Pass HuggingFace Access Token via Huggingface TextGen Inference for large language model hosted in HuggingFace Inference Endpoint in protected mode. | {
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... | closed | false | null | [] | null | 7 | 2023-07-21T08:10:05 | 2023-11-14T16:07:00 | 2023-11-14T16:06:59 | NONE | null | ### Issue with current documentation:
**Documentation Link:** https://python.langchain.com/docs/modules/model_io/models/llms/integrations/huggingface_textgen_inference
### Idea or request for content:
_No response_ | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8058 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8058/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8058/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8058/events | https://github.com/langchain-ai/langchain/issues/8058 | 1,815,280,044 | I_kwDOIPDwls5sMvms | 8,058 | Support pydantic v2 | {
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... | closed | false | null | [] | null | 2 | 2023-07-21T07:13:37 | 2023-07-21T14:19:37 | 2023-07-21T14:19:37 | CONTRIBUTOR | null | ### Feature request
Please support pydantic v2 version.
### Motivation
Pydantic v2 [released](https://docs.pydantic.dev/latest/blog/pydantic-v2-final/) a few weeks ago with [a lot of features](https://docs.pydantic.dev/latest/blog/pydantic-v2/#performance) shipped.
> Looking at the pydantic-core [benchmarks](http... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8057 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8057/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8057/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8057/events | https://github.com/langchain-ai/langchain/issues/8057 | 1,815,254,507 | I_kwDOIPDwls5sMpXr | 8,057 | Issue: using Fine-tuning model with Langchain | {
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Hi, I am using a fine tuned model that generates user prompts to SQL queries, instead of the default model provided by langchain. The reason for doing this is because langchain does not know about all the data from the database unless you provide context to it but there is a lot of data ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8056 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8056/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8056/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8056/events | https://github.com/langchain-ai/langchain/issues/8056 | 1,815,248,073 | I_kwDOIPDwls5sMnzJ | 8,056 | Invalid prompt schema; check for mismatched or missing input parameters. {'relevant_context', 'user_query'} (type=value_error)Issue: <Please write a comprehensive title after the 'Issue: ' prefix> | {
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... | closed | false | null | [] | null | 2 | 2023-07-21T06:45:54 | 2023-10-27T16:05:53 | 2023-10-27T16:05:53 | NONE | null | ### Issue you'd like to raise.
Getting missing input parameter error. Is there anything i am missing?
````
ValidationError Traceback (most recent call last)
Input In [82], in <cell line: 17>()
1 from langchain import LLMChain, OpenAI, PromptTemplate
2 prompt_template = f"... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8055 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8055/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8055/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8055/events | https://github.com/langchain-ai/langchain/issues/8055 | 1,815,238,276 | I_kwDOIPDwls5sMlaE | 8,055 | generate() got multiple keyword arguments for 'stop_sequences' while generating using hf TGI | {
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"id":... | closed | false | null | [] | null | 2 | 2023-07-21T06:36:26 | 2023-07-21T15:24:11 | 2023-07-21T15:24:11 | CONTRIBUTOR | null | ### System Info
### I'm not sure what exactly is causing the issue. Is it langchain, TGI, or streamlit
generate() got multiple keyword arguments for 'stop_sequences' upon running the script along with streamlit
```
TypeError: generate() got multiple values for keyword argument 'stop_sequences'
Traceback:
File "... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8054 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8054/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8054/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8054/events | https://github.com/langchain-ai/langchain/issues/8054 | 1,815,202,873 | I_kwDOIPDwls5sMcw5 | 8,054 | Langchain support Alibaba Cloud's Tongyi Qianwen model? | {
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How does Alibaba Cloud's Tongyi Qianwen Big Model combine with Langchain?
langchain如何与阿里云的通义千问大模型结合起来
### Motivation
Alibaba Cloud's Tongyi Qianwen
### Your contribution
none | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8053 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8053/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8053/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8053/events | https://github.com/langchain-ai/langchain/pull/8053 | 1,815,192,273 | PR_kwDOIPDwls5WEOj2 | 8,053 | Add Retry Events | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8052 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8052/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8052/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8052/events | https://github.com/langchain-ai/langchain/issues/8052 | 1,815,166,208 | I_kwDOIPDwls5sMT0A | 8,052 | Issue: Langsmith running using local docker containers, roadmap, local model support? | {
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Is there a roadmap for continue supporting that?
is langsmith going to be totally independent non-opensource per se?
Asking this because I can't really use the public langsmith service due to NDA, and I also have some issues that i'm happy to help fixing.... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8051 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8051/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8051/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8051/events | https://github.com/langchain-ai/langchain/issues/8051 | 1,815,162,839 | I_kwDOIPDwls5sMS_X | 8,051 | CallbackManager _handle_event consumes Exceptions | {
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... | closed | false | null | [] | null | 1 | 2023-07-21T05:09:22 | 2023-10-27T16:05:59 | 2023-10-27T16:05:58 | NONE | null | ### Discussed in https://github.com/hwchase17/langchain/discussions/8003
<div type='discussions-op-text'>
<sup>Originally posted by **kevinmat** July 20, 2023</sup>
Hi,
I see that function consumes the Exception , Is it possible to override this functionality so that any exception from callbacks returns back th... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8050 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8050/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8050/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8050/events | https://github.com/langchain-ai/langchain/pull/8050 | 1,815,161,963 | PR_kwDOIPDwls5WEIIU | 8,050 | Update base.py to remove ValueError | {
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- Issue: Not appl... | {
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... | closed | false | null | [] | null | 1 | 2023-07-21T04:02:15 | 2023-07-21T05:38:53 | 2023-07-21T05:25:38 | CONTRIBUTOR | null | In certain 0-shot scenarios, the existing stateful language model can unintentionally send/accumulate the .history.
This commit adds the "with_history" option to chatglm, allowing users to control the behavior of .history and prevent unintended accumulation.
Possible reviewers @hwchase17 @baskaryan @mlot
Refer... | {
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... | closed | false | null | [] | null | 2 | 2023-07-21T00:58:24 | 2023-09-17T18:54:20 | 2023-07-21T01:59:54 | CONTRIBUTOR | null | Streaming support is useful if you are doing long-running completions or need interactivity e.g. for chat... adding it to replicate, using a similar pattern to other LLMs that support streaming.
Housekeeping: I ran `make format` and `make lint`, no issues reported in the files I touched.
I did update the replicat... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8044 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8044/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8044/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8044/events | https://github.com/langchain-ai/langchain/pull/8044 | 1,815,001,355 | PR_kwDOIPDwls5WDmed | 8,044 | HuggingFaceTextGenInference bug fix: Multiple values for keyword argument | {
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"url... | closed | false | null | [] | null | 3 | 2023-07-21T00:53:24 | 2023-07-21T03:37:16 | 2023-07-21T02:05:08 | CONTRIBUTOR | null | Fixed the bug causing: `TypeError: generate() got multiple values for keyword argument 'stop_sequences'`
```python
res = await self.async_client.generate(
prompt,
**self._default_params,
stop_sequences=stop,
**kwargs,
)
```
The above... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8042 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8042/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8042/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8042/events | https://github.com/langchain-ai/langchain/issues/8042 | 1,814,957,380 | I_kwDOIPDwls5sLg1E | 8,042 | Issue: Tool is always called with a string parameter instead of Model despite using OPENAI_FUNCTIONS agent | {
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"node_id... | closed | false | null | [] | null | 2 | 2023-07-20T23:54:50 | 2023-07-25T14:25:43 | 2023-07-25T14:25:43 | NONE | null | ### Issue you'd like to raise.
Hi,
I have defined an OPENAI_FUNCTIONS agent. I have created a tool from a function where I have defined a BaseModel as input parameter
```
class FooInputModel(BaseModel):
id: str
name: str
agent_kwargs = {
"extra_prompt_messages": [MessagesPlaceholder(variable... | {
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... | closed | false | null | [] | null | 2 | 2023-07-20T23:44:17 | 2023-07-21T02:00:06 | 2023-07-21T02:00:05 | COLLABORATOR | null | Redis cache currently stores model outputs as strings. Chat generations have Messages which contain more information than just a string. Until Redis cache supports fully storing messages, cache should not interact with chat generations. | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8040 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8040/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8040/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8040/events | https://github.com/langchain-ai/langchain/pull/8040 | 1,814,931,826 | PR_kwDOIPDwls5WDX1J | 8,040 | Fixing issue with MSSQL connection | {
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"url... | closed | false | null | [] | null | 1 | 2023-07-20T23:17:05 | 2023-07-24T22:45:41 | 2023-07-24T22:45:41 | CONTRIBUTOR | null | My team recently faced an issue while using MSSQL and passing a schema name.
We noticed that "SET search_path TO {self.schema}" is being called for us, which is not a valid ms-sql query, and is specific to postgresql dialect.
We were able to run it locally after this fix.
<!-- Thank you for contributing to Lan... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8039 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8039/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8039/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8039/events | https://github.com/langchain-ai/langchain/issues/8039 | 1,814,917,699 | I_kwDOIPDwls5sLXJD | 8,039 | can it be possible to take input in custom tool | {
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Hello everyone,
I am trying to make a mcq tool but that tools need input for that particular question everytime what that quiz tool is called. Any approach which i can try
### Suggestion:
_No response_ | {
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New transformer using [HTML2Text](https://github.com/Alir3z4/html2text/) for HTML to clean, easy-to-read plain ASCII text (valid Markdown). | {
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This PR adds a graph class and an openCypher QA chain to work with the Amazon Neptune database.
## Dependencies
`requests` which is included in the LangChain dependencies.
## Maintainers for Review
@krlawrence
@baskaryan
### Twitter handle
pjain7
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- Provides a new attribute in the AmazonKendraRetriever which processes a ResultItem and returns a string that will be used as page_content;
- The excerpt metadata should not be changed, it will be kept as was retrieved. But it is cleaned when composing the page_content;
- Refactors the A... | {
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@rl... | {
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Please let me know if there's anything I can do to improve the PR. When it's merged, feel free to tag https://twitter.com/predibase and https://twitter.com/AbhayyM as contributors. | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8030 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8030/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8030/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8030/events | https://github.com/langchain-ai/langchain/pull/8030 | 1,814,807,909 | PR_kwDOIPDwls5WC8xY | 8,030 | Update Golden integration documentation | {
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@hinthornw
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hey there,
I am facing problem for streaming responses in fastapi can i get some info that how
to use websockets to stream the response
### Suggestion:
_No response_ | {
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... | closed | false | null | [] | null | 4 | 2023-07-20T20:54:55 | 2023-11-20T16:05:42 | 2023-11-20T16:05:41 | NONE | null | ### Feature request
Update `TextGen` to include `streaming` support for Oobabooga.
### Motivation
Oobabooga provides a streaming API that will be very helpful. [TextGen](https://github.com/hwchase17/langchain/pull/5997) already supports the regular API.
### Your contribution
:) | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8027 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8027/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8027/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8027/events | https://github.com/langchain-ai/langchain/pull/8027 | 1,814,780,803 | PR_kwDOIPDwls5WC2ye | 8,027 | Add embedding and vectorstore provider info as tags | {
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"id": 56... | closed | false | null | [] | null | 1 | 2023-07-20T20:50:05 | 2023-07-21T05:40:02 | 2023-07-21T05:40:01 | COLLABORATOR | null | Example: https://smith.langchain.com/public/bcd3714d-abba-4790-81c8-9b5718535867/r
The vectorstore implementations aren't super standardized yet, so just adding an optional embeddings property to pass in.
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https://api.github.com/repos/langchain-ai/langchain/issues/8026 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8026/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8026/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8026/events | https://github.com/langchain-ai/langchain/pull/8026 | 1,814,736,689 | PR_kwDOIPDwls5WCs9L | 8,026 | Retriever that can re-phase user inputs | {
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It can be used to pre-process the user input in any way.
The default prompt:
```
DEFAULT_QUERY_PROMPT = PromptTemplate(
input_variables=["question"],
template="""You are an assistant tasked with taking a... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8025 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8025/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8025/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8025/events | https://github.com/langchain-ai/langchain/pull/8025 | 1,814,736,006 | PR_kwDOIPDwls5WCszU | 8,025 | fix: create schema description from URIs and str w/out rdflib warnings | {
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"node_... | closed | false | null | [] | null | 2 | 2023-07-20T20:18:23 | 2023-07-31T09:44:48 | 2023-07-20T22:55:20 | CONTRIBUTOR | null | - Description: fix to avoid rdflib warnings when concatenating URIs and strings to create the text snippet for the knowledge graph's schema. @marioscrock pointed this out in a comment related to #7165
- Issue: None, but the problem was mentioned as a comment in #7165
- Dependencies: None
- Tag maintainer: Related to... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8024 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8024/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8024/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8024/events | https://github.com/langchain-ai/langchain/issues/8024 | 1,814,693,973 | I_kwDOIPDwls5sKghV | 8,024 | Agents and agent executor are 2 different concepts and shouldn't be placed in the same bucket | {
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"node_id... | closed | false | null | [] | null | 1 | 2023-07-20T19:46:36 | 2023-10-26T16:04:53 | 2023-10-26T16:04:52 | NONE | null | ### Feature request
This probably needs more refinement but how but there are a lot of components floating around that overlaps with one another.
As per my understanding, the broader categorization should be:
Chains: Simple scenarios - steps are hardcoded
Agent Executors: Complex scenarios - steps are determine... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8023 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8023/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8023/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8023/events | https://github.com/langchain-ai/langchain/issues/8023 | 1,814,626,098 | I_kwDOIPDwls5sKP8y | 8,023 | Add a str representation for the Message | {
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... | closed | false | null | [] | null | 2 | 2023-07-20T18:59:28 | 2023-10-26T16:04:58 | 2023-10-26T16:04:57 | CONTRIBUTOR | null | ### Feature request
E.g., it would be great if
```
m = AIMessage(content="Hi!")
print(m)
```
returned something like "AI: Hi!"
### Motivation
It would make representation of message history (e.g., for debugging or serialization into a json) a little bit easier.
### Your contribution
yes, I'm happy to do it... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8022 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8022/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8022/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8022/events | https://github.com/langchain-ai/langchain/pull/8022 | 1,814,604,332 | PR_kwDOIPDwls5WCPjv | 8,022 | Add Metaphor new field and reformat docs | {
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"node_id... | closed | false | null | [] | null | 2 | 2023-07-20T18:43:40 | 2023-07-20T23:15:23 | 2023-07-20T22:50:55 | CONTRIBUTOR | null | This PR reformats our python notebook example and also adds a new field we have. | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8021 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8021/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8021/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8021/events | https://github.com/langchain-ai/langchain/pull/8021 | 1,814,579,460 | PR_kwDOIPDwls5WCJ9R | 8,021 | Add vectorstore type info | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8020 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8020/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8020/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8020/events | https://github.com/langchain-ai/langchain/issues/8020 | 1,814,527,905 | I_kwDOIPDwls5sJ3-h | 8,020 | Issue:Using memory with agents gives wrong results | {
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"node_... | closed | false | null | [] | null | 4 | 2023-07-20T17:59:43 | 2023-10-28T16:04:45 | 2023-10-28T16:04:44 | NONE | null | ### Issue you'd like to raise.
I am trying to use create_csv_agent with memory in order to make the model answer based on previous answers so this was the code I used to achieve such task, mostly from issue #5611 with a few adjustments
```
def csv_extractor(json_request: str):
'''
Useful for extracting d... | {
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"node_id... | closed | false | null | [] | null | 3 | 2023-07-20T17:53:44 | 2023-08-14T14:47:22 | 2023-08-14T14:47:21 | NONE | null | ### Issue you'd like to raise.
How do you extract the last thought process from an agent?
The final answer from the agent is too summarized for my liking. However the 'Final Thought' process is great with all the details. I am having some difficulties extracting that information event with `return_immediate_steps=T... | {
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- added module summary
- added missed docstrings
- updated docstrings into consistent format
-
@baskaryan
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- Description: Add Bedrock implementation of Anthropic Claude for Chat
- Tag maintainer: @hwchase17, @baskaryan
- Twitter handle: @bwmatson
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The change is implemented within the `_take_next_step` and `_atake_next_step` methods of the `AgentExecutor`, where the `tool.run` is now within a `try` block. If... | {
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I am writing to request an enhancement for the FLARE chain in Langchain. I'm wondering how I can change the class to accept local (fine-tuned) models rather then use OpenAi API. Since FLARE uses a retriever, a question generator, and a response generator, it would be interesting to leverage the s... | {
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🔗 [Modal beta-testers link to docs discussion thread](https://mod... | {
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I was looking up the documentation as well. However, from the documentation it seems as if both types of agents are doing the same thing. Even when I looked at the backend code, both agent codes seemed almost identical. I am not so sure what I am missing in terms of my understanding. Any... | {
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Hello every one!
I am following the tutorial of the use of agents. Specifically, now I am exploring the type [OpenAIFunctions. ](https://python.langchain.com/docs/modules/agents/agent_types/openai_functions_agent).
I am following the exact same tutorial and I get some err... | {
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Replace this comment with:
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https://api.github.com/repos/langchain-ai/langchain/issues/8006 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8006/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8006/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8006/events | https://github.com/langchain-ai/langchain/pull/8006 | 1,814,066,314 | PR_kwDOIPDwls5WAY6e | 8,006 | Support multiple filters for ElasticVectorStore | {
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- Enable the ElasticVectorStore to support multiple filters (combine all the filters using `AND` operator)
- Put the query in a filter context ensuring that the scores of the retrieved documents are not affected by the number of filters. (For reference on the difference between query context and filter ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8004 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8004/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8004/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8004/events | https://github.com/langchain-ai/langchain/issues/8004 | 1,814,051,785 | I_kwDOIPDwls5sIDvJ | 8,004 | Issue: Using "llama-2-70b-chat/ggml-model-q4_0.bin" with LlamaCpp() | {
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... | closed | false | null | [] | null | 12 | 2023-07-20T13:52:10 | 2023-11-15T16:07:27 | 2023-11-15T16:07:26 | NONE | null | ### Issue you'd like to raise.
Hi Everyone,
I am trying to use `llama-2-70b-chat` with the LlamaCpp() as described here : https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp#metal
My system specs are
MacBook Pro, M1 Chip, 16GB, 500GB SSD
Here is my code using LlamaCpp:
... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8002 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8002/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8002/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8002/events | https://github.com/langchain-ai/langchain/issues/8002 | 1,814,025,506 | I_kwDOIPDwls5sH9Ui | 8,002 | Difference between ConversationBufferMemory and chat_history parameter | {
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I came to know that there are two methods to keep memory in **ConversationalRetrievalChain**
1. Method -1
Using **ConversationBufferMemory**
```
from langchain.chains import ConversationalRetrievalChain
from langchain.memory import ConversationBufferMemory
memory = Conversation... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8001 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8001/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8001/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8001/events | https://github.com/langchain-ai/langchain/pull/8001 | 1,814,007,694 | PR_kwDOIPDwls5WAMTu | 8,001 | Implement async support in Qdrant local mode | {
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"id": 56... | closed | false | null | [] | null | 1 | 2023-07-20T13:31:07 | 2023-07-21T02:04:34 | 2023-07-21T02:04:33 | CONTRIBUTOR | null | I've extended the support of async API to local Qdrant mode. It is faked but allows prototyping without spinning a container. The tests are improved to test the in-memory case as well.
@baskaryan @rlancemartin @eyurtsev @agola11
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https://api.github.com/repos/langchain-ai/langchain/issues/8000 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8000/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8000/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8000/events | https://github.com/langchain-ai/langchain/pull/8000 | 1,813,933,316 | PR_kwDOIPDwls5V_73n | 8,000 | Added windows specific instructions to Llama.cpp documentation. | {
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- Issue: #6356
- Dependencies: None
- Tag maintainer: @baskaryan
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https://api.github.com/repos/langchain-ai/langchain/issues/7999 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7999/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7999/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7999/events | https://github.com/langchain-ai/langchain/issues/7999 | 1,813,895,614 | I_kwDOIPDwls5sHdm- | 7,999 | APIfy dataset loader does not provide the attribute "page_content" in the loaded documents | {
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... | closed | false | null | [] | null | 5 | 2023-07-20T12:32:18 | 2023-10-28T16:04:50 | 2023-10-28T16:04:49 | NONE | null | ### System Info
Langchain Version== 0.0.237
Platform == Google Colaboratory
### Who can help?
@eyurtsev
### Information
- [X] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prom... | {
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`langchain 0.0.235`
I wrote my own callback handler
`class ChatHandler(BaseCallbackHandler):`
which includes the function
```
def on_tool_end(self, output: str, observation_prefix: Optional[str] = None, llm_prefix: Optional[str] = None, **kwargs: Any) -> Any:
"""Run when tool ends ... | {
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I've been stuck on a task that I was working on, not knowing how to exactly proceed with it. Where I need to combine different type of chain in the routes of an Agent.
So I have managed to build the following pipeline using an Agent. I receive a query and according to the context of t... | {
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"node_... | closed | false | null | [] | null | 2 | 2023-07-20T10:46:50 | 2023-10-26T16:05:28 | 2023-10-26T16:05:27 | NONE | null | ### System Info
langchain==0.0.230
MacOS
### 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
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"id": 56... | closed | false | null | [] | null | 7 | 2023-07-20T10:30:28 | 2023-11-23T16:07:15 | 2023-11-23T16:07:14 | NONE | null | ### System Info
python 3.9
langchain 0.0.234
qdrant-client 1.1.7
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
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"node_id... | closed | false | null | [] | null | 1 | 2023-07-20T10:19:46 | 2023-07-30T06:05:42 | 2023-07-30T06:04:54 | NONE | null | ### System Info
I am using the below code to make an agent that decides, upon the question, whether to use semantic search or pandas agent
to answer the question about a dataset of employees
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified script... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7993 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7993/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7993/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7993/events | https://github.com/langchain-ai/langchain/pull/7993 | 1,813,647,495 | PR_kwDOIPDwls5V-8Jq | 7,993 | Add async Qdrant to async_agent.ipynb | {
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@baskaryan @rlancemartin, @eyurtsev | {
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"id": 56... | closed | false | null | [] | null | 6 | 2023-07-20T09:32:36 | 2023-11-05T16:05:39 | 2023-11-05T16:05:38 | NONE | null | ### System Info
Langchain 0.0.237.
Python 3.11
Mac OS X M1
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
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... | closed | false | null | [] | null | 2 | 2023-07-20T09:07:31 | 2023-08-04T03:31:15 | 2023-08-04T03:31:15 | NONE | null | Description:
This is a fix for using RedisCache raise "KeyError('message')"
Use RedisCache example:
```
import redis
import langchain
from langchain.cache import RedisCache
redis_cli = redis.Redis.from_url(url='redis://:root@localhost:16379/1')
langchain.llm_cache = RedisCache(redis_=redis_cli)
```
The ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7989 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7989/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7989/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7989/events | https://github.com/langchain-ai/langchain/issues/7989 | 1,813,454,976 | I_kwDOIPDwls5sFyCA | 7,989 | OutputFixingParser is not async | {
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LangChain Python v0.0.237
Based on this code snippet it appears that OutputFixingParser doesn't support async flows.
https://github.com/hwchase17/langchain/blob/df84e1bb64d96377f909651f696f310c43c2f2c5/langchain/output_parsers/fix.py#L46-L52
It's calling the run function and not arun
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... | closed | false | null | [] | null | 1 | 2023-07-20T08:27:57 | 2023-07-20T13:22:19 | 2023-07-20T13:22:18 | COLLABORATOR | null | <!-- Thank you for contributing to LangChain!
Replace this comment with:
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- Issue: the issue # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
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langchain==0.0.237
python==3.8.16
### 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 Sele... | {
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Replace this comment with:
- Description: allow user to modify the GPU and language settings when using NLP Cloud,
- Tag maintainer: @rlancemartin ,
- Twitter handle: @cloud_nlp
Please make sure you're PR is passing linting and testing before submitting. Run... | {
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- Issue: Fixes #7982
- Dependencies: NA
- Twitter handle: sheikirfanbasha
@hwchase17 and @agola11
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Replace this 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 below)... | {
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... | closed | false | null | [] | null | 0 | 2023-07-20T06:39:12 | 2023-07-20T13:52:15 | 2023-07-20T13:52:15 | CONTRIBUTOR | null | ### Feature request
Almost all the chains offered in langchain framework support Verbose option which helps the developers understand what prompt is being applied under the hood and plan their work accordingly. It immensely help while debugging. create_extraction_chain is a very helpful one and I found this is not a... | {
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How do you increase the max_tokens for the agent? I am using gpt35turbo16k. I notice that the model is only using ~4096 tokens. Is there a way to override this?
The reason I am asking is I am ingesting large text in the prompt and the final answer I am getting is so short that does no... | {
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In Milvus, we are able to create databases and create collections within the database itself. Hence i will be able to create a collection with the same name in different databases. Ho... | {
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- remove `.persist()` -- this is no longer in Chroma as of `0.4.0`
- update output to match `0.4.0`
- other cleanup work | {
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- added missed docstrings
- update existing docstrings to consistent format (no `Wrappers`!)
@baskaryan
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Hi, I'm trying to use some LLM model from huggingface, for example "model_name=lmsys/vicuna-13b-v1.3", in the chain `load_qa_chain`. The LLM model could be fetched through AutoModelForCausalLM.from_pretrained, e.g.
```
model = AutoModelForCausalLM.from_pretrained(
model_name... | {
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@baskaryan
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I have a valid serpapi API key that I can use in the serpapi playground and with direct calls using python requests, but when I use it with Langchain I get an error saying that the key is invalid. I have my key set as environment variable, but I continue to get this error:
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- added/changed docstrings for different artifacts
-
@baskaryan
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... | closed | false | null | [] | null | 4 | 2023-07-19T22:23:56 | 2023-10-28T16:04:55 | 2023-10-28T16:04:54 | NONE | null | ### System Info
LangChain version is the latest one - 0.0.237
### 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
- [ ] O... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7967 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7967/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7967/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7967/events | https://github.com/langchain-ai/langchain/issues/7967 | 1,812,789,717 | I_kwDOIPDwls5sDPnV | 7,967 | Doc metadata can get passed into prompt unexpectedly | {
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... | closed | false | null | [] | null | 1 | 2023-07-19T21:57:17 | 2023-10-25T16:05:37 | 2023-10-25T16:05:36 | COLLABORATOR | null | ### System Info
Mac M2 Max 32GB
### Who can help?
@rlancemartin
### Information
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### Related Components
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- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
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https://api.github.com/repos/langchain-ai/langchain/issues/7966 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7966/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7966/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7966/events | https://github.com/langchain-ai/langchain/pull/7966 | 1,812,782,537 | PR_kwDOIPDwls5V7-2h | 7,966 | Fix bad docs sidebar header | {
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<img width="283" alt="Screenshot 2023-07-19 at 2 49 44 PM" src="https://github.com/hwchase17/langchain/assets/6952323/91e4868c-b75e-413d-9f8f-d34762abf164">
CC @baskaryan | {
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2. A theme that uses black instead of dark grey (for OLED screens) would also be appreciated
I'm sure there are others here who read the new additions to docs before bed lol | {
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Hi,
Not sure if someone is facting this "issue" or is something wrong I'm doing.
So far .. I read, GPT 3.5 turbo and later should be used with "chat_models" instead of "models". While testing the "summary" chaing (map_reduce). I noticed that using "model" llm it does indeed run in pa... | {
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openai==0.27.7
langchain==0.0.237
chromadb==0.4.2
Platform: Windows 11
Python Version: 3.10
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
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Refactoring:
- created the `utils/` folder
- moved `math_utils.py` to `utils/math.py`
- moved `utils.py` to ... | {
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langchain 0.0.237
python 3.10
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
-... | {
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"url... | closed | false | null | [] | null | 1 | 2023-07-19T18:46:12 | 2023-07-20T18:52:34 | 2023-07-20T13:44:58 | CONTRIBUTOR | null | ## Description
Added a doc about the [Datadog APM integration for LangChain](https://github.com/DataDog/dd-trace-py/pull/6137).
Note that the integration is on `ddtrace`'s end and so no code is introduced/required by this integration into the langchain library. For that reason I've refrained from adding an example n... | {
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- Issue: None that I know of.
- Dependencies: None
- Tag maintainer: @hinthornw
- Twitter handle: dot2dotseurat | {
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langchain 0.0.234
Python 3.10.9
aiohttp 3.8.4
Getting the following error when running an agent in async with agent.arun('Get time in Salta of Argentina') with a requests_get tool.
[tool/start] [1:chain:AgentExecutor > 7:tool:requests_get] Entering Tool run with input:
"http://worldtimeapi.org... | {
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Replace this comment with:
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