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4c9acdfbf1
Added Token tracking for OpenAI's prompt caching and reasoning tokens Costs updated from https://openai.com/api/pricing/ usage example ```python from langchain_community.callbacks import get_openai_callback from langchain_openai import ChatOpenAI llm = ChatOpenAI(model_name="o1-mini",temperature=1) with get_openai_callback() as cb: response = llm.invoke("hi "*1500) print(cb) ``` Output ``` Tokens Used: 1720 Prompt Tokens: 1508 Prompt Tokens Cached: 1408 Completion Tokens: 212 Reasoning Tokens: 192 Successful Requests: 1 Total Cost (USD): $0.0049559999999999995 ``` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>
🦜️🧑🤝🧑 LangChain Community
Quick Install
pip install langchain-community
What is it?
LangChain Community contains third-party integrations that implement the base interfaces defined in LangChain Core, making them ready-to-use in any LangChain application.
For full documentation see the API reference.
📕 Releases & Versioning
langchain-community is currently on version 0.0.x
All changes will be accompanied by a patch version increase.
💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the Contributing Guide.