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Together AI 提供 API,只需几行代码即可查询 50 多种领先的开源模型 本示例演示了如何使用 LangChain 与 Together AI 模型进行交互。

安装

pip install -U langchain-together

环境

要使用 Together AI,您需要一个 API 密钥,您可以在此处找到:api.together.ai/settings/api-keys。这可以作为初始化参数 together_api_key 传入,或设置为环境变量 TOGETHER_API_KEY

示例

# 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
for m in chat.stream("Tell me fun things to do in NYC"):
    print(m.content, 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(): "))

以编程方式连接这些文档到 Claude、VSCode 等,通过 MCP 获取实时答案。
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