O3 Cost and O3 Condition Is Not Updated In Openai Info.py(langchian-community)

[nikhil-weamai]

Checked other resources

• I added a very descriptive title to this issue.
• I searched the LangChain documentation with the integrated search.
• I used the GitHub search to find a similar question and didn't find it.
• I am sure that this is a bug in LangChain rather than my code.
• The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).

Example Code

def standardize_model_name(
    model_name: str,
    is_completion: bool = False,
    *,
    token_type: TokenType = TokenType.PROMPT,
) -> str:
    """
    Standardize the model name to a format that can be used in the OpenAI API.

    Args:
        model_name: Model name to standardize.
        is_completion: Whether the model is used for completion or not.
            Defaults to False. Deprecated in favor of ``token_type``.
        token_type: Token type. Defaults to ``TokenType.PROMPT``.

    Returns:
        Standardized model name.

    """
    if is_completion:
        warn_deprecated(
            since="0.3.13",
            message=(
                "is_completion is deprecated. Use token_type instead. Example:\n\n"
                "from langchain_community.callbacks.openai_info import TokenType\n\n"
                "standardize_model_name('gpt-4o', token_type=TokenType.COMPLETION)\n"
            ),
            removal="1.0",
        )
        token_type = TokenType.COMPLETION
    model_name = model_name.lower()
    if ".ft-" in model_name:
        model_name = model_name.split(".ft-")[0] + "-azure-finetuned"
    if ":ft-" in model_name:
        model_name = model_name.split(":")[0] + "-finetuned-legacy"
    if "ft:" in model_name:
        model_name = model_name.split(":")[1] + "-finetuned"
    if token_type == TokenType.COMPLETION and (
        model_name.startswith("gpt-4")
        or model_name.startswith("gpt-3.5")
        or model_name.startswith("gpt-35")
        or model_name.startswith("o1-")
        or ("finetuned" in model_name and "legacy" not in model_name)
    ):
        return model_name + "-completion"
    if (
        token_type == TokenType.PROMPT_CACHED
        and (model_name.startswith("gpt-4o") or model_name.startswith("o1"))
        and not (model_name.startswith("gpt-4o-2024-05-13"))
    ):
        return model_name + "-cached"
    else:
        return model_name

Error Message and Stack Trace (if applicable)

No response

Description

• langchain==0.3.17
• langchain-community==0.3.16
• langchain-openai==0.3.3
• langchain-core==0.3.33
• openai==1.61.0

System Info

System Information

OS: Darwin
OS Version: Darwin Kernel Version 24.1.0: Thu Oct 10 21:06:23 PDT 2024; root:xnu-11215.41.3~3/RELEASE_ARM64_T8132
Python Version: 3.9.6 (default, Oct 4 2024, 08:01:31)
[Clang 16.0.0 (clang-1600.0.26.4)]

Package Information

langchain_core: 0.3.33
langchain: 0.3.17
langchain_community: 0.3.16
langsmith: 0.1.147
langchain_anthropic: 0.3.0
langchain_google_genai: 2.0.6
langchain_huggingface: 0.1.0
langchain_openai: 0.3.3
langchain_text_splitters: 0.3.5

Optional packages not installed

langserve

Other Dependencies

aiohttp: 3.11.11
anthropic: 0.42.0
async-timeout: 4.0.3
dataclasses-json: 0.6.7
defusedxml: 0.7.1
filetype: 1.2.0
google-generativeai: 0.8.3
httpx: 0.27.0
httpx-sse: 0.4.0
huggingface-hub: 0.26.2
jsonpatch: 1.33
langsmith-pyo3: Installed. No version info available.
numpy: 1.26.4
openai: 1.61.0
orjson: 3.9.15
packaging: 24.2
pydantic: 2.9.2
pydantic-settings: 2.6.0
PyYAML: 6.0.1
requests: 2.31.0
requests-toolbelt: 1.0.0
sentence-transformers: 3.2.0
SQLAlchemy: 2.0.35
tenacity: 9.0.0
tiktoken: 0.8.0
tokenizers: 0.20.3
transformers: 4.45.2
typing-extensions: 4.11.0