Hi All,
Im really stuck with Exercise 1 for the M3 Graded lab.
Regardless of what I try I always get this error:
Failed test case: generate_research_report_with_tools raised BadRequestError: Error code: 400 - {‘error’: {‘message’: ‘you must provide a model parameter’, ‘type’: ‘invalid_request_error’, ‘param’: None, ‘code’: None}}.
Expected:
no exception,
but got:
Error code: 400 - {‘error’: {‘message’: ‘you must provide a model parameter’, ‘type’: ‘invalid_request_error’, ‘param’: None, ‘code’: None}}.
This is my code, I wonder if someone can point out which line is going wrong for me:
GRADED FUNCTION: generate_research_report_with_tools
def generate_research_report_with_tools(prompt: str, model: str = “gpt-4o”) → str:
“”"
Generates a research report using OpenAI’s tool-calling with arXiv and Tavily tools.
Args:
prompt (str): The user prompt.
model (str): OpenAI model name.
Returns:
str: Final assistant research report text.
"""
messages = [
{
"role": "system",
"content": (
"You are a research assistant that can search the web and arXiv to write detailed, "
"accurate, and properly sourced research reports.\n\n"
"🔍 Use tools when appropriate (e.g., to find scientific papers or web content).\n"
"📚 Cite sources whenever relevant. Do NOT omit citations for brevity.\n"
"🌐 When possible, include full URLs (arXiv links, web sources, etc.).\n"
"✍️ Use an academic tone, organize output into clearly labeled sections, and include "
"inline citations or footnotes as needed.\n"
"🚫 Do not include placeholder text such as '(citation needed)' or '(citations omitted)'."
)
},
{"role": "user", "content": prompt}
]
# List of available tools
tools = [research_tools.arxiv_tool_def, research_tools.tavily_tool_def]
# Maximum number of turns
max_turns = 10
# Iterate for max_turns iterations
for _ in range(max_turns):
### START CODE HERE ###
# Chat with the LLM via the client and set the correct arguments. Hint: Their names match names of variables already defined.
# Make sure to let the LLM choose tools automatically. Hint: Look at the docs provided earlier!
response = CLIENT.chat.completions.create(
model=model,
messages=messages,
tools=tools,
tool_choice="auto",
temperature=1,
)
### END CODE HERE ###
# Get the response from the LLM and append to messages
msg = response.choices[0].message
messages.append(msg)
# Stop when the assistant returns a final answer (no tool calls)
if not msg.tool_calls:
final_text = msg.content
print("✅ Final answer:")
print(final_text)
break
# Execute tool calls and append results
for call in msg.tool_calls:
tool_name = call.function.name
args = json.loads(call.function.arguments)
print(f"🛠️ {tool_name}({args})")
try:
tool_func = TOOL_MAPPING[tool_name]
result = tool_func(**args)
except Exception as e:
result = {"error": str(e)}
### START CODE HERE ###
# Keep track of tool use in a new message
new_msg = {
# Set role to "tool" (plain string) to signal a tool was used
"role": "tool",
# As stated in the markdown when inspecting the ChatCompletionMessage object
# every call has an attribute called id
"tool_call_id": call.id,
# The name of the tool was already defined above, use that variable
"name": tool_name,
# Pass the result of calling the tool to json.dumps
"content": json.dumps(result)
}
### END CODE HERE ###
# Append to messages
messages.append(new_msg)
return final_text
The unittest passes but when i submit i get 0/10.
Thanks in advance
once you have successfully run down the codes till end, and then only submit