shima-khoshraftar

Not returning all the required entities defined in the schema

8

Hi, I faced an issue with langchain-extract. I defined an schema with some required entities(not optional), for instance: class ExtractedValues(BaseModel): syndication_agent: str=Field(description='who is the syndication agent?') agreement_date: str=Field(description='what is the...

Guardrails support of AzureOpenAI with openai>1.0.0[bug]

10

**Describe the bug** Does Guardrails-ai support AzureOpenAI with openai library>1.0 which has a different llm call api from openai==0.28? (openai.chat.completions.create instead of openai.ChatCompletion.create) **To Reproduce** openai.api_key = api_key openai.azure_endpoint =azure_endpoint...

Adding support for Gemini

1

Hi, I added ChatVertexAI from langchain_google_vertexai to models.py file to use gemini models. However, the issue is that i am getting InvalidArgument: 400 Request contains an invalid argument error with...

Hi, I have created a chatbot object like this: my_chatbot = ChatBot.pdf_chat(input_files=[path], llm_params = llm_params, vector_store_params = vector_store_params, embed_model = "local",) in which I set the llm_params for azure api...