[BUG] Gemini Unknown name \"additionalProperties\"

[pratap007x]

Description

Failed to convert text into JSON, error: litellm.BadRequestError: VertexAIException BadRequestError - {
"error": {
"code": 400,
"message": "Invalid JSON payload received. Unknown name "additionalProperties" at 'tools[0].function_declarations[0].parameters.properties[0].value': Cannot find field.",
"status": "INVALID_ARGUMENT",
"details": [
{
"@type": "type.googleapis.com/google.rpc.BadRequest",
"fieldViolations": [
{
"field": "tools[0].function_declarations[0].parameters.properties[0].value",
"description": "Invalid JSON payload received. Unknown name "additionalProperties" at 'tools[0].function_declarations[0].parameters.properties[0].value': Cannot find field."
}
]
}
]
}
}
. Using raw output instead.

Steps to Reproduce

if your JSON output is nested
then this error get produced

Expected behavior

there is not the any "additionalProperties" key

Screenshots/Code snippets

NA

Operating System

Ubuntu 20.04

Python Version

3.10

crewAI Version

0.105.0

crewAI Tools Version

0.38.0

Virtual Environment

Conda

Evidence

Possible Solution

its been resolved in latest litellm version but crewai doesn't support the latest version

BerriAI/litellm#6136

Additional context

NA

[TanmayAT]

I see the issue. When using Gemini, make sure to stringify the JSON before sending it. Otherwise, you'll receive a "Null" response due to data validation constraints.

Sample code :

from posixpath import join
import google.generativeai as genai
import json
import re

api = API_KEY

#Gemini API Key
genai.configure(api_key = api)

Function to extract JSON safely

def extract_json_from_text(response_text):
match = re.search(r"{.*}", response_text, re.DOTALL) # Extracts JSON content
if match:
json_str = match.group()
try:
return json.loads(json_str) # Convert to JSON
except json.JSONDecodeError as e:
print("Error parsing extracted JSON:", e)
return None
print("No valid JSON found in response.")
return None

Function to extract details using Gemini API

def extract_info(text):
prompt = f"""
Extract the following details from the given conversation in valid JSON format.

Return ONLY the JSON—no extra text.

{{
    **Sample Prompt : Place your prompt here !!** 
}}

Text: {text}
"""

model = genai.GenerativeModel("gemini-1.5-flash")
response = model.generate_content(prompt)



# Print raw response for debugging
raw_text = response.text.strip()
#print("Raw Response:", raw_text)

# Extract and parse JSON
data = extract_json_from_text(raw_text)

return data or ""

for text_sample in transcript :

result = extract_info(text_sample)
print(json.dumps(result, ensure_ascii=False, indent=4))

[lucasgomide]

@pratap007x can you share your code. I can try to reproduce the bug

[TanmayAT]

@lucasgomide its quite simple if we try to send json with prompt in gemini it reflects this so for this stringify that

[lucasgomide]

@TanmayAT gotcha, ty.
I'm gonna to close this issue since we can fix making a simple prompt changes