如果你在 Colab 中打开这个 Notebook，可能需要先安装 LlamaIndex 🦙。

%pip install llama-index-llms-octoai
%pip install llama-index
%pip install octoai-sdk

在下方包含你的 OctoAI API 密钥。你可以在 OctoAI 获取。

如果你需要更多指导，此处有一些说明。

OCTOAI_API_KEY = ""

使用默认模型初始化集成

from llama_index.llms.octoai import OctoAI

octoai = OctoAI(token=OCTOAI_API_KEY)

使用提示词调用 complete

response = octoai.complete("Paul Graham is ")
print(response)

使用消息列表调用 chat

from llama_index.core.llms import ChatMessage

messages = [
    ChatMessage(
        role="system",
        content="Below is an instruction that describes a task. Write a response that appropriately completes the request.",
    ),
    ChatMessage(role="user", content="Write a blog about Seattle"),
]
response = octoai.chat(messages)
print(response)

流式传输

使用 stream_complete 端点

response = octoai.stream_complete("Paul Graham is ")
for r in response:
    print(r.delta, end="")

使用 stream_chat 和消息列表

from llama_index.core.llms import ChatMessage

messages = [
    ChatMessage(
        role="system",
        content="Below is an instruction that describes a task. Write a response that appropriately completes the request.",
    ),
    ChatMessage(role="user", content="Write a blog about Seattle"),
]
response = octoai.stream_chat(messages)
for r in response:
    print(r.delta, end="")

配置模型

# To customize your API token, do this
# otherwise it will lookup OCTOAI_TOKEN from your env variable
octoai = OctoAI(
    model="mistral-7b-instruct", max_tokens=128, token=OCTOAI_API_KEY
)

response = octoai.complete("Paul Graham is ")
print(response)