Function Calling Does Not Work With Stop Sequences and Streaming

[collindutter]

Description of the bug:

Function calling does not work when providing stop_sequences and stream=True.

Actual vs expected behavior:

Actual:

import google.generativeai as genai
import os

from google.generativeai.types import GenerationConfig

GOOGLE_API_KEY = os.environ["GOOGLE_API_KEY"]

genai.configure(api_key=GOOGLE_API_KEY)


def multiply(a: float, b: float):
    """returns a * b."""
    return a * b


model = genai.GenerativeModel(model_name="gemini-1.5-flash")
response = model.generate_content(
    "What is 4 * 3?",
    stream=True,
    tools=[multiply],
    generation_config=GenerationConfig(stop_sequences=["Anything"]),
)

for chunk in response:
    print(chunk.parts)
    print("_" * 80)

No FunctionCall is returned.

[text: "print(default_api.multiply(a = 4, b = 3))"
]

Expected (after removing stop_sequences):

import google.generativeai as genai
import os


GOOGLE_API_KEY = os.environ["GOOGLE_API_KEY"]

genai.configure(api_key=GOOGLE_API_KEY)


def multiply(a: float, b: float):
    """returns a * b."""
    return a * b


model = genai.GenerativeModel(model_name="gemini-1.5-flash")
response = model.generate_content(
    "What is 4 * 3?",
    stream=True,
    tools=[multiply],
)

for chunk in response:
    print(chunk.parts)
    print("_" * 80)

A Part containing a FunctionCall is returned.

[function_call {
  name: "multiply"
  args {
    fields {
      key: "b"
      value {
        number_value: 3
      }
    }
    fields {
      key: "a"
      value {
        number_value: 4
      }
    }
  }
}
]

Expected (after setting stream=False):

import google.generativeai as genai
import os

from google.generativeai.types import GenerationConfig

GOOGLE_API_KEY = os.environ["GOOGLE_API_KEY"]

genai.configure(api_key=GOOGLE_API_KEY)


def multiply(a: float, b: float):
    """returns a * b."""
    return a * b


model = genai.GenerativeModel(model_name="gemini-1.5-flash")
response = model.generate_content(
    "What is 4 * 3?",
    stream=False,
    tools=[multiply],
    generation_config=GenerationConfig(stop_sequences=["Anything"]),
)

for chunk in response:
    print(chunk.parts)
    print("_" * 80)

A Part containing a FunctionCall is returned.

[function_call {
  name: "multiply"
  args {
    fields {
      key: "b"
      value {
        number_value: 3
      }
    }
    fields {
      key: "a"
      value {
        number_value: 4
      }
    }
  }
}
]

Any other information you'd like to share?

I am using version 0.7.2 of this library.