Original article: https://developers.lseg.com/en/article-catalog/article/bond-copilot--unleashing-rd-lib-search-api-with-ai-llm-langchain
original code using openAI:
df = bond_copilot("list all the active green bonds")
# Importing necessary modules to facilitate data analysis using natural language processing.
from langchain.llms import OpenAI
from langchain.agents import create_pandas_dataframe_agent,create_csv_agent
# Creating an agent that allows us to perform natural language queries on the dataset.
# The agent uses ChatGPT, OpenAI's language model to understand and process the queries.
bond_analytics = create_pandas_dataframe_agent(OpenAI(temperature=0, openai_api_key='YOUR OPENAI API KEY'), df, verbose=False)
#bond_analytics = create_csv_agent(OpenAI(temperature=0), "green_bond.csv", verbose=False)
My code
from langchain.llms import AzureOpenAI
from langchain_experimental.agent import create_panda_dataframe,create_csv_agent
llm1=AzureOpenAI(temperature=0,azure_deployment="gpt-35-turbo",api_version="2024-02-01",azure_endpoint="xxx",api_key="xxx")
bond_analytics = create_pandas_dataframe_agent(llm1,df,verbose=False)
Error code:
BadRequestError: Error code: 400 - {'message': "Streaming completion is not support yet, please remove 'stream' key value in the request payload."}
