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1538ee17f9
Last week Anthropic released version 0.39.0 of its python sdk, which enabled support for Python 3.13. This release deleted a legacy `client.count_tokens` method, which we currently access during init of the `Anthropic` LLM. Anthropic has replaced this functionality with the [client.beta.messages.count_tokens() API](https://github.com/anthropics/anthropic-sdk-python/pull/726). To enable support for `anthropic >= 0.39.0` and Python 3.13, here we drop support for the legacy token counting method, and add support for the new method via `ChatAnthropic.get_num_tokens_from_messages`. To fully support the token counting API, we update the signature of `get_num_tokens_from_message` to accept tools everywhere. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
langchain-openai
This package contains the LangChain integrations for OpenAI through their openai SDK.
Installation and Setup
- Install the LangChain partner package
pip install langchain-openai
- Get an OpenAI api key and set it as an environment variable (
OPENAI_API_KEY)
LLM
See a usage example.
from langchain_openai import OpenAI
If you are using a model hosted on Azure, you should use different wrapper for that:
from langchain_openai import AzureOpenAI
For a more detailed walkthrough of the Azure wrapper, see here
Chat model
See a usage example.
from langchain_openai import ChatOpenAI
If you are using a model hosted on Azure, you should use different wrapper for that:
from langchain_openai import AzureChatOpenAI
For a more detailed walkthrough of the Azure wrapper, see here
Text Embedding Model
See a usage example
from langchain_openai import OpenAIEmbeddings
If you are using a model hosted on Azure, you should use different wrapper for that:
from langchain_openai import AzureOpenAIEmbeddings
For a more detailed walkthrough of the Azure wrapper, see here