Closed as not planned
Description
Confirm this is an issue with the Python library and not an underlying OpenAI API
- This is an issue with the Python library
Describe the bug
Error code: 400 - {'error': {'message': "Invalid parameter: 'tool_calls' cannot be used when 'functions' are present. Please use 'tools' instead of 'functions'.", 'type': 'invalid_request_error', 'param': 'messages.[2].tool_calls', 'code': None}}
To Reproduce
Structure is in the code snippet, after MAssassor answer its question (after using tool and then go back to MAssasor), should be go back to supervisor, but it give above error.
Code snippets
## first read guideline and then go to the different source to get data:
def create_team_supervisor(llm, system_prompt, members) -> str:
"""An LLM-based router."""
options = ["FINISH"] + members
function_def = {
"name": "route",
"description": "Select the next role.",
"parameters": {
"title": "routeSchema",
"type": "object",
"properties": {
"next": {
"title": "Next",
"anyOf": [
{"enum": options},
],
},
},
"required": ["next"],
},
}
prompt = ChatPromptTemplate.from_messages(
[
("system", system_prompt),
MessagesPlaceholder(variable_name="messages"),
(
"system",
"Given the conversation above, who should act next?"
" Or should we FINISH? Select one of: {options}",
),
]
).partial(options=str(options), team_members=", ".join(members))
return (
prompt
| llm.bind_functions(functions=[function_def], function_call="route")
| JsonOutputFunctionsParser()
)
class TeamState(TypedDict):
# A message is added after each team member finishes
messages: Annotated[List[BaseMessage], operator.add]
# The team members are tracked so they are aware of
# the others' skill-sets
POLICY_NUMBER: str
CLAIM_NUMBER: str
FILE_PATH: str
team_members: List[str]
# Used to route work. The supervisor calls a function
# that will update this every time it makes a decision
next: str
sender:str
def router(state):
# This is the router
messages = state["messages"]
last_message = messages[-1]
if not last_message.content:
# The previous agent is invoking a tool
# print(state['sender'], 'call_tool')
return "call_tool"
# print(state['sender'], "CogSupervisor")
return 'continue'
graph = StateGraph(TeamState)
## Add nodes to the graph
graph.add_node("MAssassor", med_node)
graph.add_node("BAssassor", beh_node)
graph.add_node("Supervisor", cog_supervisor)
graph.add_node("call_tool", tool_node)
graph.add_edge(START, "Supervisor")
## Add condition edges to the graph
graph.add_conditional_edges("MAssassor",
router,
{"call_tool": "call_tool", "continue": "Supervisor"},)
graph.add_conditional_edges("BAssassor",
router,
{"call_tool": "call_tool", "continue": "Supervisor"},)
graph.add_conditional_edges(
"Supervisor",
lambda x: x["next"],
{"MAssassor": "MAssassor",
"BAssassor": "BAssassor",
"FINISH": END},
)
graph.add_conditional_edges(
"call_tool",
lambda x: x["sender"],
{"MAssassor": "MAssassor",
"BAssassor": "BAssassor",
},
)
chain = graph.compile()OS
macOS
Python version
Python 3.9.6
Library version
openai 1.51.2