'ChatAnthropic' object has no attribute 'bind_functions'

[imandal98-ai]

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Example Code

from langchain_core.output_parsers.openai_functions import JsonOutputFunctionsParser
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder

members = ["Researcher", "Coder"]
system_prompt = (
    "You are a supervisor tasked with managing a conversation between the"
    " following workers:  {members}. Given the following user request,"
    " respond with the worker to act next. Each worker will perform a"
    " task and respond with their results and status. When finished,"
    " respond with FINISH."
)
# Our team supervisor is an LLM node. It just picks the next agent to process
# and decides when the work is completed
options = ["FINISH"] + members
# Using openai function calling can make output parsing easier for us
function_def = {
    "name": "route",
    "description": "Select the next role.",
    "parameters": {
        "title": "routeSchema",
        "type": "object",
        "properties": {
            "next": {
                "title": "Next",
                "anyOf": [
                    {"enum": options},
                ],
            }
        },
        "required": ["next"],
    },
}
prompt = ChatPromptTemplate.from_messages(
    [
        ("system", system_prompt),
        MessagesPlaceholder(variable_name="messages"),
        (
            "system",
            "Given the conversation above, who should act next?"
            " Or should we FINISH? Select one of: {options}",
        ),
    ]
).partial(options=str(options), members=", ".join(members))

llm = ChatOpenAI(model="gpt-4-1106-preview")

supervisor_chain = (
    prompt
    | llm.bind_functions(functions=[function_def], function_call="route")
    | JsonOutputFunctionsParser()
)

Description

I attempted to run the same code provided in the link using a different LLM model: llm=ChatAnthropic(model='claude-3-opus-20240229'). However, it resulted in an error stating, 'ChatAnthropic' object has no attribute 'bind_function'.

System Info

Package Information

langchain_core: 0.2.32
langchain: 0.2.14
langchain_community: 0.2.10
langsmith: 0.1.99
langchain_anthropic: 0.1.21
langchain_chroma: 0.1.0
langchain_experimental: 0.0.64
langchain_openai: 0.1.21
langchain_text_splitters: 0.2.2
langchainhub: 0.1.15
langgraph: 0.2.4

[dosubot[bot]]

Hey @imandal98-ai! I'm here to assist you with any bugs, questions, or contributions. Let's tackle this issue together while we wait for a human maintainer.

To resolve the error 'ChatAnthropic' object has no attribute 'bind_functions', you should use the bind_tools method instead of bind_functions. The ChatAnthropic class does not have a method named bind_functions, but it does have a method named bind_tools for binding tools.

Here is an example of how to use the bind_tools method correctly:

from langchain_anthropic import ChatAnthropic
from langchain_core.pydantic_v1 import BaseModel, Field

class GetWeather(BaseModel):
    '''Get the current weather in a given location'''
    location: str = Field(..., description="The city and state, e.g. San Francisco, CA")

class GetPrice(BaseModel):
    '''Get the price of a specific product.'''
    product: str = Field(..., description="The product to look up.")

llm = ChatAnthropic(model="claude-3-opus-20240229", temperature=0)
llm_with_tools = llm.bind_tools([GetWeather, GetPrice])
llm_with_tools.invoke("what is the weather like in San Francisco")

Using bind_tools is recommended as the functions and function_call request parameters are officially deprecated. This should resolve the error and allow you to successfully run the code with the ChatAnthropic model ^{[1][2][3][4][5]}.

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