Files
langchain/libs/community
mschoenb97IL e499caa9cd community: Give more context on DeepInfra 500 errors (#25671)
Description: DeepInfra 500 errors have useful information in the text
field that isn't being exposed to the user. I updated the error message
to fix this.

As an example, this code

```
from langchain_community.chat_models import ChatDeepInfra
from langchain_core.messages import HumanMessage

model = "meta-llama/Meta-Llama-3-70B-Instruct"
deepinfra_api_token = "..."

model = ChatDeepInfra(model=model, deepinfra_api_token=deepinfra_api_token)

messages = [HumanMessage("All work and no play makes Jack a dull boy\n" * 9000)]
response = model.invoke(messages)
```

Currently gives this error:
```
langchain_community.chat_models.deepinfra.ChatDeepInfraException: DeepInfra Server: Error 500
```

This change would give the following error:
```
langchain_community.chat_models.deepinfra.ChatDeepInfraException: DeepInfra Server error status 500: {"error":{"message":"Requested input length 99009 exceeds maximum input length 8192"}}
```
2024-08-22 10:10:51 -07:00
..
2024-08-12 23:30:27 +00:00

🦜🧑‍🤝‍🧑 LangChain Community

Downloads License: MIT

Quick Install

pip install langchain-community

What is it?

LangChain Community contains third-party integrations that implement the base interfaces defined in LangChain Core, making them ready-to-use in any LangChain application.

For full documentation see the API reference.

Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.

📕 Releases & Versioning

langchain-community is currently on version 0.0.x

All changes will be accompanied by a patch version increase.

💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the Contributing Guide.