francisjervis
commented
3 months ago Here is the whole, non-working function that should be used as a tool.
@tool
def choose_next_action(state):
"""
This tool evaluates the interviewee's answer for completeness and clarity,
and decides whether to ask a probing or clarifying question, or move on to the next topic.
:param state:
:return:
"""
print("choose_next_action")
messages = [SystemMessage(content="You are a sociologist conducting a semi-structured interview. Respond only in valid JSON.")]
# add last message from state to messages
print(state["messages"][-1])
messages.append(state["messages"][-1])
print(messages)
tools = [
{
"name": "evaluate_answer",
"description": "Decide what to do based on the content of an interviewee's response",
"parameters": {
"required": [
"next_action"
],
"properties": {
"next_action": {
"enum": [
"probing_question",
"clarifying_question",
"next_question"
]
}
},
"type": "object"
}
}
]
functions = [convert_to_openai_function(t) for t in tools]
print(functions[0])
# prompt = AIMessagePromptTemplate.from_messages(messages)
llm = ChatOpenAI(model="gpt-3.5-turbo")
response = llm.invoke(messages, functions=functions).content
print(response)
return response
hinthornw
Checked other resources
Example Code
Error Message and Stack Trace (if applicable)
Description
Since the function in question is clearly working outside of Langgraph, this appears to be a spurious error. If it is not, the error message does not provide any useful information and in any case is not formatted correctly.
System Info
langgraph 0.0.66 python 3.11 mac os 14.5