Confirm this is an issue with the Python library and not an underlying OpenAI API
Describe the bug
(openai) /mnt/workspace/project/Eagent> python 1.py
Traceback (most recent call last):
File "/mnt/workspace/project/Eagent/1.py", line 94, in
print(run_conversation())
File "/mnt/workspace/project/Eagent/1.py", line 55, in run_conversation
response = client.chat.completions.create(
File "/home/pai/lib/python3.9/site-packages/openai/_utils/_utils.py", line 299, in wrapper
return func(*args, **kwargs)
File "/home/pai/lib/python3.9/site-packages/openai/resources/chat/completions.py", line 598, in create
return self._post(
File "/home/pai/lib/python3.9/site-packages/openai/_base_client.py", line 1063, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
File "/home/pai/lib/python3.9/site-packages/openai/_base_client.py", line 842, in request
return self._request(
File "/home/pai/lib/python3.9/site-packages/openai/_base_client.py", line 885, in _request
raise self._make_status_error_from_response(err.response) from None
openai.NotFoundError: Error code: 404 - {'error': {'message': 'Unrecognized request argument supplied: tools (request id: 202311220623247350366364AkoGmo5)', 'type': 'invalid_request_error', 'param': '', 'code': None}}
To Reproduce
Fill in ak and run the code
Code snippets
from openai import OpenAI
from openai import api_version
import json
import os
api_base = "https://vp01.glyph.cyou:8443/v1"
api_key = "xxxx"
model_name = "gpt-3.5-turbo-1106"
# model_name = "gpt-4"
# gpt-3.5-turbo、 gpt-3.5-turbo-16k、gpt-4、gpt-4-32k、gpt-3.5-turbo-1106、gpt-4-1106-preview
os.environ["OPENAI_API_BASE"] = api_base
os.environ["OPENAI_API_KEY"] = api_key
client = OpenAI(
api_key=api_key,
base_url=api_base
)
# client = OpenAI()
# Example dummy function hard coded to return the same weather
# In production, this could be your backend API or an external API
def get_current_weather(location, unit="fahrenheit"):
"""Get the current weather in a given location"""
if "tokyo" in location.lower():
return json.dumps({"location": "Tokyo", "temperature": "10", "unit": "celsius"})
elif "san francisco" in location.lower():
return json.dumps({"location": "San Francisco", "temperature": "72", "unit": "fahrenheit"})
elif "paris" in location.lower():
return json.dumps({"location": "Paris", "temperature": "22", "unit": "celsius"})
else:
return json.dumps({"location": location, "temperature": "unknown"})
def run_conversation():
# Step 1: send the conversation and available functions to the model
messages = [{"role": "user", "content": "What's the weather like in San Francisco, Tokyo, and Paris?"}]
tools = [
{
"type": "function",
"function": {
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
},
"required": ["location"],
},
},
}
]
response = client.chat.completions.create(
model=model_name,
messages=messages,
tools=tools,
# tool_choice="auto", # auto is default, but we'll be explicit
)
response_message = response.choices[0].message
print(response_message.model_dump_json(indent=4))
tool_calls = response_message.tool_calls
# Step 2: check if the model wanted to call a function
if tool_calls:
# Step 3: call the function
# Note: the JSON response may not always be valid; be sure to handle errors
available_functions = {
"get_current_weather": get_current_weather,
} # only one function in this example, but you can have multiple
messages.append(response_message) # extend conversation with assistant's reply
# Step 4: send the info for each function call and function response to the model
for tool_call in tool_calls:
function_name = tool_call.function.name
function_to_call = available_functions[function_name]
function_args = json.loads(tool_call.function.arguments)
function_response = function_to_call(
location=function_args.get("location"),
unit=function_args.get("unit"),
)
messages.append(
{
"tool_call_id": tool_call.id,
"role": "tool",
"name": function_name,
"content": function_response,
}
) # extend conversation with function response
second_response = client.chat.completions.create(
model="gpt-3.5-turbo-1106",
messages=messages,
) # get a new response from the model where it can see the function response
return second_response
print(run_conversation())
OS
macos
Python version
v3.10
Library version
openai v1.34.
Confirm this is an issue with the Python library and not an underlying OpenAI API
Describe the bug
(openai) /mnt/workspace/project/Eagent> python 1.py
Traceback (most recent call last):
File "/mnt/workspace/project/Eagent/1.py", line 94, in
print(run_conversation())
File "/mnt/workspace/project/Eagent/1.py", line 55, in run_conversation
response = client.chat.completions.create(
File "/home/pai/lib/python3.9/site-packages/openai/_utils/_utils.py", line 299, in wrapper
return func(*args, **kwargs)
File "/home/pai/lib/python3.9/site-packages/openai/resources/chat/completions.py", line 598, in create
return self._post(
File "/home/pai/lib/python3.9/site-packages/openai/_base_client.py", line 1063, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
File "/home/pai/lib/python3.9/site-packages/openai/_base_client.py", line 842, in request
return self._request(
File "/home/pai/lib/python3.9/site-packages/openai/_base_client.py", line 885, in _request
raise self._make_status_error_from_response(err.response) from None
openai.NotFoundError: Error code: 404 - {'error': {'message': 'Unrecognized request argument supplied: tools (request id: 202311220623247350366364AkoGmo5)', 'type': 'invalid_request_error', 'param': '', 'code': None}}
To Reproduce
Fill in ak and run the code
Code snippets
OS
macos
Python version
v3.10
Library version
openai v1.34.