AttributeError: 'ChatGoogleGenerativeAI' object has no attribute 'bind_tools'

[RicardoRobledo]

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Example Code

import getpass
import os
from langchain_google_genai import ChatGoogleGenerativeAI
from langchain_core.pydantic_v1 import BaseModel, Field


os.environ["GOOGLE_API_KEY"] = getpass.getpass()


class Multiply(BaseModel):
    """Multiply two integers together."""

    a: int = Field(..., description="First integer")
    b: int = Field(..., description="Second integer")

llm = ChatGoogleGenerativeAI(model="gemini-pro")
llm_with_tools = llm.bind_tools([Multiply])
llm_with_tools.invoke("what's 3 * 12")

Description

I was following LangChain docs about Gemini tools, but it tells me that bind_tools does not exist

System Info

pip install -qU langchain-core langchain-google-genai

[dosubot[bot]]

Hey @RicardoRobledo! Nice to see you diving into the depths of LangChain again. How's the coding journey going?

Based on the code snippet you provided, it seems like you're trying to use the bind_tools method with the ChatGoogleGenerativeAI class. However, according to the LangChain codebase and the issues found in the repository, there is no bind_tools method available in the ChatGoogleGenerativeAI class.

The bind_tools method is available in the ChatMistralAI class, which is a subclass of BaseChatModel. This method is designed to bind tool-like objects to the chat model, assuming the model is compatible with the OpenAI tool-calling API. You can find more details about this in the ChatMistralAI class definition in the LangChain codebase.

If you're trying to bind functions to the ChatGoogleGenerativeAI model, you might want to use the bind_functions method instead. This method accepts a list of function definitions, which can be a dictionary, a Pydantic model, or a callable. Pydantic models and callables are automatically converted to their schema dictionary representation.

Here's an example of how you can use the bind_functions method:

llm = ChatOpenAI(openai_api_key="xxx",temperature=0.5)
tools = [get_band_packages]
prompt = ChatPromptTemplate.from_messages(
    [
        (
            "system",
            system_msg
        ),
        MessagesPlaceholder(variable_name="chat_history"),
        ("user", "{input}"),
        MessagesPlaceholder(variable_name="agent_scratchpad"),
    ]
)
chat_history = []
functions = [format_tool_to_openai_function(t) for t in tools]
llm_with_tools = llm.bind_functions(functions=functions)
agent = (
        {
            "input": lambda x: x["input"],
            "agent_scratchpad": lambda x: format_to_openai_function_messages(
                x["intermediate_steps"]
            ),
            "chat_history": lambda x: x["chat_history"],
        }
        | prompt
        | llm_with_tools
        | OpenAIFunctionsAgentOutputParser()
)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
agent_executor.invoke({"input": "xxxxxxx","chat_history":[]})

In this example, the bind_functions method is used to bind the functions to the llm instance of the ChatOpenAI class. The functions parameter is a list of functions that have been formatted for OpenAI using the format_tool_to_openai_function function.

Please try this approach and let me know if it resolves your issue. If you have any further questions or need additional clarification, feel free to ask.

Sources

• Using tools in non-ChatGPT models
• openai.error.InvalidRequestError: Unrecognized request argument supplied: functions
• raise AttributeError(name) from None AttributeError: OPENAI_FUNCTIONS
• Functions not called when i use langchain_openai.ChatOpenAI as llm
• libs/partners/openai/langchain_openai/chat_models/base.py
• libs/partners/mistralai/langchain_mistralai/chat_models.py

Dosu

Sources

• AttributeError: 'ChatOpenAI' object has no attribute 'bind_tools'
• ChatOpenAI' object has no attribute 'bind_tools'
• ChatLangChain requesting _default_relevance_score_fn' on <module 'langchain.vectorstores.faiss> on init
• libs/partners/fireworks/langchain_fireworks/chat_models.py
• docs/docs/integrations/chat/google_generative_ai.ipynb
• libs/partners/openai/langchain_openai/chat_models/base.py

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[sepiatone]

@RicardoRobledo bind_tools() is not (yet) available with ChatGoogleGenerativeAI. It is available with ChatAnthropicExperimental, ChatCohere, ChatFireworks, ChatMistralAI and of course ChatOpenAI. Hopefully one of these models would help you in your project.

[seyi33]

Awesome, just wanted to be sure that was truly the case.

[rcleveng]

Is this still the case?

[dipanjanS]

This is stilll not there for any of the Gemini models?

[dominicdev]

any update for this?