Cannot use ChatOllama instead of ChatOpenAI

[educatedpolarbear]

Hi, my issue looks like this

D:\work\AI service\venv\Lib\site-packages\langchain\chat_models\__init__.py:32: LangChainDeprecationWarning: Importing chat models from langchain is deprecated. Importing from langchain will no longer be supported as of langchain==0.2.0. Please import from langchain-community instead:

`from langchain_community.chat_models import ChatOpenAI`.

To install langchain-community run `pip install -U langchain-community`.
  warnings.warn(
D:\work\AI service\venv\Lib\site-packages\langchain\chat_models\__init__.py:32: LangChainDeprecationWarning: Importing chat models from langchain is deprecated. Importing from langchain will no longer be supported as of langchain==0.2.0. Please import from langchain-community instead:

`from langchain_community.chat_models import ChatOllama`.

To install langchain-community run `pip install -U langchain-community`.
  warnings.warn(

Adding: 'The month is October.'
No chunks, creating a new one
Created new chunk (7cb66): Date & Times

Adding: 'The year is 2023.'
D:\work\AI service\venv\Lib\site-packages\langchain_core\_api\deprecation.py:139: LangChainDeprecationWarning: LangChain has introduced a method called `with_structured_output` thatis available on ChatModels capable of tool calling.You can read more about the method here: https://python.langchain.com/docs/modules/model_io/chat/structured_output/Please follow our extraction use case documentation for more guidelineson how to do information extraction with LLMs.https://python.langchain.com/docs/use_cases/extraction/.If you notice other issues, please provide feedback here:https://github.com/langchain-ai/langchain/discussions/18154
  warn_deprecated(
Based on the summary, I think this proposition should be joined with the chunk "Date & Times". Therefore, I return the chunk ID: 7cb66.
Traceback (most recent call last):
  File "D:\work\AI service\venv\Lib\site-packages\langchain_core\output_parsers\openai_functions.py", line 31, in parse_result
    func_call = copy.deepcopy(message.additional_kwargs["function_call"])
                              ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
KeyError: 'function_call'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "D:\work\AI service\test.py", line 29, in <module>
    ac.add_propositions(propositions)
  File "D:\work\AI service\utils\agentic_chunker.py", line 42, in add_propositions
    self.add_proposition(proposition)
  File "D:\work\AI service\utils\agentic_chunker.py", line 55, in add_proposition
    chunk_id = self._find_relevant_chunk(proposition)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\work\AI service\utils\agentic_chunker.py", line 308, in _find_relevant_chunk
    print(extraction_chain.invoke(chunk_found))
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\work\AI service\venv\Lib\site-packages\langchain\chains\base.py", line 166, in invoke
    raise e
  File "D:\work\AI service\venv\Lib\site-packages\langchain\chains\base.py", line 156, in invoke
    self._call(inputs, run_manager=run_manager)
  File "D:\work\AI service\venv\Lib\site-packages\langchain\chains\llm.py", line 127, in _call
    return self.create_outputs(response)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\work\AI service\venv\Lib\site-packages\langchain\chains\llm.py", line 281, in create_outputs
    result = [
             ^
  File "D:\work\AI service\venv\Lib\site-packages\langchain\chains\llm.py", line 284, in <listcomp>
    self.output_key: self.output_parser.parse_result(generation),
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\work\AI service\venv\Lib\site-packages\langchain_core\output_parsers\openai_functions.py", line 219, in parse_result
    result = super().parse_result(result)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\work\AI service\venv\Lib\site-packages\langchain_core\output_parsers\openai_functions.py", line 202, in parse_result
    _result = super().parse_result(result)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\work\AI service\venv\Lib\site-packages\langchain_core\output_parsers\openai_functions.py", line 33, in parse_result
    raise OutputParserException(f"Could not parse function call: {exc}")
langchain_core.exceptions.OutputParserException: Could not parse function call: 'function_call'

I changed the init function into this:

class AgenticChunker:
    def __init__(self):
        self.chunks = {}
        self.id_truncate_limit = 5

        # Whether or not to update/refine summaries and titles as you get new information
        self.generate_new_metadata_ind = True
        self.print_logging = True

        self.llm = ChatOllama(model='llama3', base_url='http://localhost:9090')

    def add_propositions(self, propositions):
        for proposition in propositions:
            self.add_proposition(proposition)
    
    def add_proposition(self, proposition):
        if self.print_logging:
            print (f"\nAdding: '{proposition}'")
...

How to fix it? Does ChatOllama and ChatOpenAI have anything in different?