Together AI integrations | LangChain 简体中文

Together AI offers an API to query 50+ leading open-source models in a couple lines of code.

This example goes over how to use LangChain to interact with Together AI models.

Installation

pip install -U langchain-together

Environment

To use Together AI, you'll need an API key which you can find here: api.together.ai/settings/api-keys. This can be passed in as an init param together_api_key or set as environment variable TOGETHER_API_KEY.

Example

# Querying chat models with Together AI

from langchain_together import ChatTogether

# choose from our 50+ models here: https://docs.together.ai/docs/inference-models
chat = ChatTogether(
    # together_api_key="YOUR_API_KEY",
    model="meta-llama/Llama-3-70b-chat-hf",
)

# stream the response back from the model
stream = chat.stream_events("Tell me fun things to do in NYC", version="v3")
for token in stream.text:
    print(token, end="", flush=True)

# if you don't want to do streaming, you can use the invoke method
# chat.invoke("Tell me fun things to do in NYC")

# Querying code and language models with Together AI

from langchain_together import Together

llm = Together(
    model="codellama/CodeLlama-70b-Python-hf",
    # together_api_key="..."
)

print(llm.invoke("def bubble_sort(): "))