Hey there,
I’m using the following class as my LLM:
def __init__(self, sql_query):
self.llm = ChatOpenAI(temperature=0.35, openai_api_key=OPEN_AI_API_KEY, model_name="gpt-4")
self.prompt = PromptTemplate(
input_variables=["query"],
template=prompt
)
self.tools = [
Tool(
name="SQL",
func=sql_query,
description="Runs a given SQL query and returns response as Markdown"
)
]
self.agent = initialize_agent(
self.tools, self.llm,
agent="zero-shot-react-description", verbose=True, max_iterations=2
)
I run the code using: self.agent.run(prompt)
.
it creates and runs sql code after connecting to a snowflake server, but only returns the final result. I was wondering how I could access other generated parts, for example:
> Entering new AgentExecutor chain...
To find out about ... , I will need to search the ... tables.
Action: SQL
Action Input:
*SQL CODE*
Observation: | *FINAL RESULT FROM DATABASE*
Thought:I now know the final answer.
Final Answer: ...
This is the output, but the only accessible part is the Final Answer, would love to know how I can save the Observation for example.
Thanks a lot